بر اساس عنوان

1
Predicting surface porosity using a fine-scale index of roughness in a cultivated field
2
Predicting surface vibration from underground railways through inhomogeneous soil
3
Predicting surfactant modified soil/water distribution coefficients using micellar HPLC
4
Predicting survival after coronary revascularization for ischemic cardiomyopathy
5
Predicting survival in ambulatory patients with severe heart failure on beta-blocker therapy
6
Predicting survival in an elderly burn patient population
7
Predicting Survival in Glioblastoma Using Gene Expression Databases: A Neural Network Analysis
8
Predicting survival in malignant skin melanoma using Bayesian networks automatically induced by genetic algorithms. An empirical comparison between different approaches
9
Predicting Survival in Patients Receiving Continuous Flow Left Ventricular Assist Devices: The HeartMate II Risk Score
10
Predicting Survival in Patients Requiring Renal Replacement Therapy After Cardiac Surgery
11
Predicting survival in patients with hepatocellular carcinoma: A UK perspective
12
Predicting survival in patients with liver cancer considered for transarterial chemoembolization
13
Predicting survival, reproduction and abundance of polar bears under climate change
14
Predicting susceptibility and incubation time of human-to-human transmission of vCJD
15
Predicting suspended sand concentration profiles on a macro-tidal beach
16
Predicting sustainability of forest bioenergy production in the face of changing paradigms
17
Predicting sustained virological responses in chronic hepatitis C patients treated with peginterferon alfa-2a (40 KD)/ribavirin
18
Predicting symptomatology and self-blame among child sex abuse victims
19
Predicting systolic and diastolic aortic blood pressure and stroke volume in the intact sheep
20
Predicting Taiwanese adoption website membersʹ intentions regarding on-line dog adoptions
21
Predicting tax rate changes: Insights from the permanent income hypothesis
22
Predicting teacher commitment
23
Predicting technology adoption to improve research priority—setting
24
Predicting temperate conifer forest successional stage distributions with multitemporal Landsat Thematic Mapper imagery
25
Predicting temperature distribution in the waxy oil-gas pipe flow
26
Predicting temperature profiles to determine degree of doneness for beef biceps femoris and longissimus lumborum steaks
27
Predicting temporal changes in total iron concentrations in groundwaters flowing from abandoned deep mines: a first approximation
28
Predicting Temporal Fluctuations in an Intracellular Signalling Pathway
29
Predicting tenderness of fresh ovine semimembranosus using Raman spectroscopy
30
Predicting Tending to Callous-Unemotional Traits Based on Empathy, Social Anxiety Disorder and Bullying in Students
31
Predicting tensile strength of friction stir welded AA6061 aluminium alloy joints by a mathematical model
32
Predicting tensile strength of rocks from physical properties based on support vector regression optimized by cultural algorithm
33
Predicting tensile strength, hardness and corrosion rate of friction stir welded AA6061-T6 aluminium alloy joints
34
Predicting tensile stretchability of trimmed AA6111-T4 sheets
35
Predicting termination of atrial fibrillation based on the structure and quantification of the recurrence plot
36
Predicting terrain contours using a feed-forward neural network
37
Predicting Thaumastocoris peregrinus damage using narrow band normalized indices and hyperspectral indices using field spectra resampled to the Hyperion sensor
38
Predicting the 28-Day Mortality of Non-Trauma Patients using REMS and RAPS; a Prognostic Accuracy Study
39
Predicting the 30-day Adverse Outcomes of Non-Critical New-Onset COVID-19 Patients in Emergency Departments based on their Lung CT Scan Findings; A Pilot Study for Derivation an Emergency Scoring Tool
40
Predicting the abiotic degradability of organic pollutants in the troposphere
41
Predicting the absorption of chemical vapours
42
Predicting the academic adaptation of high school students based on coping strategies, parental support and belonging to school in the post-corona era
43
Predicting the Academic Motivation of Rural High School Students
44
Predicting the acceptability and likelihood of lying: The interaction of personality with type of lie
45
Predicting the accumulated number of plugged tubes in a steam generator using statistical methodologies
46
PREDICTING THE ACOUSTICAL RADIATION OF FINITE SIZE MULTI-LAYERED STRUCTURES BY APPLYING SPATIAL WINDOWING ON INFINITE STRUCTURES
47
Predicting the activity of Cd2+ and Zn2+ in soil pore water from the radio-labile metal fraction
48
Predicting the adsorption behavior in bulk from metal clusters
49
Predicting the adsorption of second generation biofuels by polymeric resins with applications for in situ product recovery (ISPR)
50
Predicting the Aging Trend of Ilam Population and the Necessity for Implementing Health Services for the Elderly Until 2050
51
Predicting the Air Quality Index of Industrial Areas in an Industrialized City in India Using Adopting Markov Chain Model
52
Predicting the amount of carbon dioxide absorbed in meat
53
Predicting the amount of carbon dioxide absorbed in meat
54
Predicting the anthocyanin content of wine grapes by NIR hyperspectral imaging
55
Predicting the Anticonvulsant Activities of Phenylacetanilides Using Quantitativestructure- activity-relationship and Artificial Neural Network Methods
56
Predicting the Antiretroviral Medication Adherence and CD4 Measure in Patients with HIV/AIDS Based on the Post Traumatic Stress Disorder and Depression
57
Predicting the approximate time of event occurrence based on changes in the speed of sending messages in X social network
58
Predicting the Areal Extent of Land-Cover Types Using Classified Imagery and Geostatistics
59
Predicting the asymmetric response of a genetic switch to noise
60
Predicting the Basal Metabolic Rate in Adolescents: A Correlated (Re)-Analysis
61
Predicting the behavior of a grid-connected photovoltaic system from measurements of solar radiation and ambient temperature
62
Predicting the behavior of a pipe network using the “critical Z-score” as its performance indicator Original Research Article
63
Predicting the behavioral intention of pregnant women’s choice of delivery method based on the theory of planned behavior: A cross-sectional study
64
Predicting the behaviour of ash from agricultural wastes during combustion
65
Predicting the behaviour of polydisperse polymers in liquid chromatography under isocratic and gradient conditions
66
Predicting the behaviour of proteins in hydrophobic interaction chromatography: 1: Using the hydrophobic imbalance (HI) to describe their surface amino acid distribution
67
Predicting the behaviour of proteins in hydrophobic interaction chromatography: 2. Using a statistical description of their surface amino acid distribution
68
Predicting the Behaviour of Stabilized Lateritic Soils Treated with Green Crude Oil (GCO) by Analysis of Variance Approaches
69
Predicting the behaviour of structures under impact loads using geometrically distorted scaled models
70
Predicting the Behaviour of the Senescence-Accelerated Mouse (SAM) Strains (SAMPs and SAMR) Using Machine Learning Algorithm
71
Predicting the behaviour of three-tiered applications: dealing with distributed-object technology and databases
72
Predicting the behavioural pattern of Escherichia coli in minimally processed vegetables
73
Predicting the bifurcation structure of localized snaking patterns
74
Predicting the Big Two of Affect from the Big Five of Personality
75
Predicting the binding energy for nylon 6,6/clay nanocomposites by molecular modeling
76
Predicting the bioactivity of glasses using the network connectivity or split network models
77
Predicting the biochemical methane potential of wide range of organic substrates by near infrared spectroscopy
78
Predicting the bioconcentration factor of highly hydrophobic organic chemicals
79
Predicting the biological variability of environmental rhythms: Weak or strong anticipation for sensorimotor synchronization?
80
Predicting the block-and-ash flow inundation areas at Volcلn de Colima (Colima, Mexico) based on the present day (February 2010) status
81
Predicting the Brazilian stock market through neural networks and adaptive exponential smoothing methods
82
Predicting the Breach Hydrograph Resulting Due to Hypothetical Failure of Haditha Dam
83
Predicting the Breakdown Behavior of Microcontrollers Under EMP/UWB Impact Using a Statistical Analysis
84
Predicting the broadband response of a layered cone-cylinder-cone shell
85
Predicting the broadband transmittance of the uniformly mixed gases (CO2, CO, N2O, CH4 and O2) in the atmosphere, for solar radiation models
86
Predicting the broadband vibroacoustic response of systems subject to aeroacoustic loads by a Krylov subspace reduction
87
Predicting the buckling Capacity of Steel Cylindrical Shells with Rectangular Stringers under Axial Loading by using Artificial Neural Networks
88
Predicting the buoyancy, equilibrium and potential swimming ability of giraffes by computational analysis
89
Predicting the burning of wood using an integral model
90
Predicting the calcium leaching behavior of cement pastes in aggressive environments
91
Predicting the carcinogenic potential of pharmaceuticals in rodents using molecular structural similarity and E-state indices
92
Predicting the catalytic efficiency by quantum-chemical descriptors: Theoretical study of pincer metallic complexes involved in the catalytic Heck reaction
93
Predicting the changes of relaxation dynamics with various modifications of the chemical and physical structures of glass-formers
94
Predicting the chemical composition of the body and the carcass of 3/4Boer×1/4Saanen kids using body components
95
Predicting the child-rearing practices of mothers sexually abused in childhood
96
Predicting the chromatographic retention of polymers: Application of the polymer model to poly(styrene/ethylacrylate)copolymers
97
Predicting the chromatographic retention of polymers: Poly(methyl methacrylate)s and polyacryate blends
98
Predicting the coating condition on ships using ICCP system data
99
Predicting the Coefficients of Antoine Equation Using the Artificial Neural Network
100
Predicting the coefficients of the Daubert and Danner correlation using a neural network model
101
Predicting the cofactors of oxidoreductases based on amino acid composition distribution and Chouʹs amphiphilic pseudo-amino acid composition
102
Predicting the collapse of externally pressurised ring-stiffened cylinders using finite element analysis
103
Predicting the collapsibility potential of unsaturated soils using adaptive neural fuzzy inference system and particle swarm optimization
104
Predicting the columnar-to-equiaxed transition for a distribution of nucleation undercoolings Original Research Article
105
Predicting the combined effects of oil and surfactant concentrations on the drop size distributions of homogenized emulsions
106
Predicting the components of the total hemispherical solar radiation from sunshine duration measurements in Lagos, Nigeria
107
Predicting the composition of lamb carcases using alternative fat and muscle depth measures
108
Predicting the composition of natural gas generated by the Duvernay Formation (Western Canada Sedimentary Basin) using a compositional kinetic approach
109
Predicting the compressibility behaviour of tire shred samples for landfill applications
110
Predicting the compressive strength and slump of high strength concrete using neural network
111
Predicting the compressive strength of steel fiber added lightweight concrete using neural network
112
Predicting the Concentration Characteristics of Itakpe Iron Ore for cut-off Grade Estimation
113
Predicting the concentration range of unmonitored chemicals in wastewater-dominated streams and in run-off from biosolids-amended soils Original Research Article
114
Predicting the consequences of dreissenid mussels on a pelagic food web
115
Predicting the consequences of dreissenid mussels on a pelagic food web
116
Predicting the consumption of foods low in saturated fats among people diagnosed with Type 2 diabetes and cardiovascular disease. The role of planning in the theory of planned behaviour
117
Predicting the contents of BTEX and MTBE for the three types of tollbooth at a highway toll station via the direct and indirect approaches
118
Predicting the continuation of a function with applications to call center data
119
Predicting the contribution of nanoparticles (Zn, Ti, Ag) to the annual metal load in the Dutch reaches of the Rhine and Meuse Original Research Article
120
Predicting the contribution of running propellers to aircraft stability derivatives
121
Predicting the cooling heat transfer coefficient of supercritical CO2 with a small amount of entrained lubricating oil by using the neural network method
122
Predicting the core compressive strength of self-compacting concrete (SCC) mixtures with mineral additives using artificial neural network
123
Predicting the Country Commodity Imports Using Mixed Frequency Data Sampling (MIDAS) Model
124
Predicting the course of Alzheimerʹs disease
125
Predicting the course of Guillain-Barré syndrome
126
Predicting the coverage ratio of copper electrodeposits obtained on mesh cathodes
127
Predicting the creep lives of thin-walled cylindrical polymeric pipe linings subject to external pressure
128
Predicting the crest height of a gravel beach
129
Predicting the crushability of rocks from the impact strength index
130
Predicting the Culprit Lesion in Acute Inferior ST-Elevation Myocardial Infarction Based on Wellens’ Criteria and Tierala’s Algorithm
131
Predicting the Customers’ Attitude towards Islamic Banking: A Survey of Customers from Dera Ismail Khan Pakistan
132
Predicting the daily streamflow of ungauged catchments in S.E. Australia by regionalising the parameters of a lumped conceptual rainfall-runoff model
133
Predicting the daily streamflow of ungauged catchments in S.E. Australia by regionalising the parameters of a lumped conceptual rainfall-runoff model
134
Predicting the date of leaf emergence for sugar maple across its native range
135
Predicting the deflection and sub-surface stress field within two-dimensional inhomogeneously elastic bonded layered solids under pressure
136
Predicting the Deformability of Expanded Polystyrene in Long-Term Compression
137
Predicting the Deformability of Expanded Polystyrene in Short-Term Compression
138
Predicting the deformability of mineral wool slabs under constant compressive stress
139
Predicting the demand and plastic capacity of axially loaded steel beam–columns with thermal gradients
140
Predicting the density and tensile strength of viscoelastic soy powder compacts Original Research Article
141
Predicting the deposition in the Aswan High Dam Reservoir using a 2-D model
142
Predicting the determinants of the NFC-enabled mobile credit card acceptance: A neural networks approach
143
Predicting the development of cardiac allograft vasculopathy
144
Predicting the development of critical biological stages of Sunn pest, Eurygaster integriceps Put. (Hemiptera: Scutelleridae), by using sum of degree-days for timing its chemical control in wheat
145
Predicting the development of photoperiod insensitive winter wheats in south-central New South Wales
146
Predicting the development of posttraumatic stress disorder from the acute response to a traumatic event
147
Predicting the Devolatilization Behavior of any coal from its ultimate analysis
148
Predicting the dew point pressure for gas condensate reservoirs: empirical models and equations of state
149
Predicting the Diabetic Foot Ulcer Risk Using Sensory Monofilament Test among Diabetic Patients Attending the National Institute of Diabetes and Endocrine Glands
150
Predicting the diffractive structure function from the dipole cross-section Original Research Article
151
Predicting the discharge coefficient of triangular plan form weirs using radian basis function and M5’ methods
152
PREDICTING THE DISSOLUTION OF FOUR ROCK PHOSPHATES IN FLOODED ACID SULFATE SOILS OF THAILAND.
153
Predicting the distribution function for long-memory processes
154
Predicting the distribution of a threatened albatross: The importance of competition, fisheries and annual variability
155
Predicting the distribution of deep-sea vulnerable marine ecosystems using high-resolution data: Considerations and novel approaches
156
Predicting the distribution of fish community in the Persian Gulf using joint species distribution modelling with a latent variable model
157
Predicting the distribution of forest habitat types using indicator species to facilitate systematic conservation planning
158
Predicting the distribution of ground beetle species (Coleoptera, Carabidae) in Britain using land cover variables
159
Predicting the Distribution of Individuals and the Consequences of Habitat Loss: The Role of Prey Depletion
160
Predicting the distribution of intensive poultry farming in Thailand
161
Predicting the Distribution of Leucanthemum Vulgare Lam. Using Logistic Regression in Fandoghlou Rangelands of Ardabil Province, Iran
162
Predicting the distribution of plant species using logistic regression (Case study: Garizat rangelandsof Yazd province)
163
Predicting the distribution of vulnerable marine ecosystems in the deep sea using presence-background models
164
Predicting the distributions of marine organisms at the global scale
165
Predicting the distributions of marine organisms at the global scale
166
Predicting the diversity of internal temperatures from the English residential sector using panel methods
167
Predicting the drag coefficient and settling velocity of spherical particles
168
Predicting the draught requirement of tillage implements in sandy clay loam soil using an artificial neural network
169
Predicting the dreamer’s gender from a single dream report: a matching study in a non-student sample
170
Predicting the drug concentration in starch acetate matrix tablets from ATR-FTIR spectra using multi-way methods Original Research Article
171
Predicting the durability of Portland cement systems in aggressive environments—Laboratory validation
172
Predicting the duration and reversal probability of leveraged buyouts
173
Predicting the dynamic and kinematic viscosities of biodiesel–diesel blends using mid- and near-infrared spectroscopy
174
Predicting the dynamic postural control response from quiet-stance behavior in elderly adults
175
Predicting the dynamics of animal behaviour in field populations
176
Predicting the Earth encounters of (99942) Apophis
177
Predicting the Earthquake Magnitude Using the Multilayer Perceptron Neural Network with Two Hidden Layers
178
Predicting the East Australian Current
179
Predicting the economic benefits and costs of introducing new biological control agents for Scotch broom Cytisus scoparius into New Zealand
180
Predicting the economics of X-ray inspection technology in sweet onion packinghouses using simulation modelling
181
Predicting the Effect of a Point Mutation on a Protein Fold: The Villin and Advillin Headpieces and Their Pro62Ala Mutants
182
Predicting the effect of atmospheric pollution on soil and surface water acidification in the Middle Hills of Nepal
183
Predicting the Effect of Bilateral Pelvic Osteotomy onSagittal Alignment Correction and Surrounding Muscles:A Mathematical Model
184
Predicting the effect of livestock inputs of E. coli on microbiological compliance of bathing waters
185
Predicting the effect of membrane spacers on mass transfer
186
Predicting the effect of non-uniform ply cracking on the thermoelastic properties of cross-ply laminates
187
Predicting the effect of operating and design variables on breakage rates using the mechanistic ball mill model
188
Predicting the effect of residual stress on fatigue crack growth
189
Predicting the effect of temperature on leaf appearance in seven spring bread wheat genotypes
190
Predicting the effect of temperature on leaf appearance in seven spring bread wheat genotypes
191
Predicting the effect of temperature on the performance of elastomer-based rail damping devices
192
Predicting the effect of various ISA penetration grades on pedestrian safety by simulation
193
Predicting the Effective Factors on Concurrency of Stock Price Considering Corporative Governing Based on Neural Network
194
Predicting the effective thermal conductivity of polydispersed beds of softwood bark and softwood char☆
195
Predicting the effective thermal conductivity of unfrozen, porous foods Original Research Article
196
Predicting the Effectiveness of Beta-Blocker Therapy in Vasovagal Syncope
197
Predicting the effectiveness of blast wall barriers using neural networks
198
Predicting the effectiveness of hydroxyurea in individual sickle cell anemia patients
199
Predicting the effectiveness of naïve data fusion on the basis of system characteristics
200
Predicting the effects of agricultural change on farmland bird populations in Poland
201
Predicting the effects of biochar on volatile petroleum hydrocarbon biodegradation and emanation from soil: A bacterial community finger-print analysis inferred modelling approach
202
Predicting the effects of biochar on volatile petroleum hydrocarbon biodegradation and emanation from soil: A bacterial community finger-print analysis inferred modelling approach
203
Predicting the effects of cellular-phone dialing on driver performance
204
Predicting the effects of endocrine disrupting chemicals on healthy and disease impacted populations of perch (perca fluviatilis)
205
Predicting the effects of endocrine disrupting chemicals on healthy and disease impacted populations of perch (perca fluviatilis)
206
Predicting the effects of geometry on the behaviour of fibre metal laminate joints
207
Predicting the effects of landuse change on water and salt balance—a case study of a catchment affected by dryland salinity in NSW, Australia
208
PREDICTING THE EFFECTS OF LOAD RATIO ON THE FATIGUE CRACK GROWTH RATE AND FATIGUE THRESHOLD
209
Predicting the effects of process parameters on the performance of phosphoric acid fuel cells using a 3-D numerical approach
210
Predicting the effects of soil water content and soil water potential on transpiration of maize
211
Predicting the effects of the presence of diluents with methane on spark ignition engine performance
212
Predicting the efficacy of future training programs using past experiences at other locations
213
Predicting the Efficiency of Inventory Management Using Artificial Neural Networks
214
Predicting the elastic properties of single-walled carbon nanotubes
215
Predicting the elastic properties of sisal fiber reinforced polypropylene composites by a new method based on generalized method of cells and laminate analogy approach
216
Predicting the electrostatic charging behavior of insulating materials without charging tests
217
Predicting the emissions of individual VOCs from petroleum-based indoor coatings
218
Predicting the Empirical Distribution of Video Quality Scores Using Recurrent Neural Networks
219
Predicting the employment of minority officers in U.S. cities: OLS fixed-effect panel model results for African American and Latino officers for 1993, 1996, and 2000
220
Predicting the energy dissipation of a rough sudden expansion rectangular stilling basins using the SVM algorithm
221
Predicting the Equilibrium Deuterium-Tritium Fuel Layer Thickness Profile in an Indirect-Drive Hohlraum Capsule
222
Predicting the equilibrium partitioning of organic compounds using just one linear solvation energy relationship (LSER)
223
Predicting the equilibrium structure of organic semiconductors with genetic algorithms
224
Predicting the evolution of mechanical and diffusivity properties of cement pastes and mortars for various hydration degrees – A numerical simulation investigation
225
Predicting the Evolutionary Variability of the Influenza A Virus
226
Predicting the exceedances of a critical PM10 concentration—a case study in Taiwan
227
Predicting the excess enthalpies and vapor–liquid equilibria of multicomponent systems containing ether and hydrocarbons
228
Predicting the exchange traded fund DIA with a combination of genetic algorithms and neural networks
229
Predicting the existence of stormwater first flush from the time of concentration
230
Predicting the extent of pollution of the Shatt al-Arab River with some heavy metals using the heavy metals index (HPI)
231
Predicting the exterior durability of new fluoropolymer coatings
232
Predicting the extraction yield of nimbin from neem seeds in supercritical CO2 using group contribution methods, equations of state and a shrinking core extraction model
233
Predicting the Factors Affecting on the Migration of Growth Firms with Financial Health in the Tehran Stock Exchange by Using the Random Forest Method
234
Predicting the factors related to cervical cancer screening in secondary school female teachers in Shahrekord: Application of PEN-3 model factors about cervical cancer screening in female teachers
235
Predicting the failure of 3 by 5
236
Predicting the failure of 3 by 5
237
Predicting the failure of amyloid-β vaccine
238
Predicting the failure of ultrasonic spot welds by pull-out from sheet metal
239
Predicting the failure strains of Al/SiC composites with reacted matrix–reinforcement interfaces
240
Predicting the Family Function based on Early Maladaptive Schemas and Couples Communication Patterns (Case Study: Education)
241
Predicting the fate of microRNA target genes based on sequence features
242
Predicting the fate of transplanted kidneys
243
Predicting the fatigue cycles on aluminum panels
244
Predicting the fatigue life of synchronous motor-driven compressor using the complex modal reduction technique Original Research Article
245
Predicting the fatigue life of the SAE 1045 steel using an empirical Weibull-based model associated to acoustic emission parameters
246
Predicting the filial behaviors of Chinese–Malaysian adolescents from perceived parental investments, filial emotions, and parental warmth and support
247
Predicting the film and lens water volume between soil particles using particle size distribution data
248
Predicting the final prices of online auction items
249
Predicting the financial crisis by Mahalanobis–Taguchi system – Examples of Taiwan’s electronic sector
250
Predicting the financial performance index of technology fund for SME using structural equation model
251
Predicting the fire resistance behaviour of high strength concrete columns
252
Predicting the Fit between the Respirator and Face based on Facial Anthropometric Dimensions Using Neural-fuzzy Method (Used in Crises)
253
Predicting the flow behavior of metals under different strain rate and temperature through phenomenological modeling
254
Predicting the flow mode from hoppers using the discrete element method
255
Predicting the Fluctuation of Travel Time Reliability as a Result of Congestion Variations by Bagging-Based Regressors
256
Predicting the fluid temperature at the exit of the vertical ground heat exchangers
257
Predicting the flux decline in milk cross-flow ceramic ultrafiltration by artificial neural networks Original Research Article
258
Predicting the formation enthalpies of binary intermetallic compounds
259
Predicting the formation enthalpies of Cd–Ga–In–Sn–Zn liquid alloys by the limiting partial enthalpies
260
Predicting the Formation of Chlorinated and Brominated ByProducts
261
Predicting the fracture character of weak layers from snowpack penetrometer signals
262
Predicting the fracture strength of ceramic materials using the theory of critical distances
263
Predicting the fragmentation onset velocity for different metallic projectiles using numerical simulations
264
Predicting the frequency of median barrier crashes on Pennsylvania interstate highways
265
Predicting the frequency of occurrence of visible water vapour plumes at proposed industrial sites
266
Predicting the fretting fatigue limit for spherical contact
267
Predicting the functional consequences of non-synonymous single nucleotide polymorphisms: structure-based assessment of amino acid variation
268
Predicting the functionality of major intrinsic proteins: An in silico analysis in Musa
269
Predicting the future
270
Predicting the future and reconstructing the past: A Bayesian characterization of the utility of subjective fluency
271
Predicting the future and saving species: Population Viability Analysis edited by S.R. Beissinger and D.R. McCullough. University of Chicago Press, 2002. £24.50 pbk (496 pages) ISBN 0 22604178 6. Quantitative Conservation Biology by W.F. Morris and D.F. D
272
Predicting the Future Attendance of Women in Sport for All Spaces in Zanjan Based on the Social Marketing Mix
273
Predicting the future DOC flux from upland peat catchments
274
Predicting the future nature of universities
275
Predicting the future of Capercaillie (Tetrao urogallus) in Finland
276
Predicting the future of Capercaillie (Tetrao urogallus) in Finland
277
Predicting the future of human gene therapy for cardiovascular diseases: what will the management of coronary artery disease be like in 2005 and 2010?
278
Predicting the future performance of a clinical biochemistry laboratory by computer simulation
279
Predicting the future: Can this patient with acute congestive heart failure be safely discharged from the emergency department?
280
Predicting the General Self-Efficacy of the People with Diabetes in Bandargaz- 2023: The Role of Rumination and Alexithymia
281
Predicting the generation of heavy oils in carbonate/evaporitic environments using pyrolysis methods
282
Predicting the geometric form of clad in laser cladding by powder using multiple regression analysis (MRA)
283
Predicting the geometry of stable alluvial channels: combination of data mining and meta-heuristic optimization
284
Predicting the geo-temporal variations of crime and disorder
285
Predicting the glass transition temperature of bioactive glasses from their molecular chemical composition
286
Predicting the glass transition temperature of ionic liquids by the quantitative structure property relationship method using a topological index
287
Predicting the Grouting Ability of Sandy Soils by Artificial Neural Networks Based On Experimental Tests
288
Predicting the growth of deciduous tree species in response to water stress: FVS-BGC model parameterization, application, and evaluation
289
Predicting the growth of deciduous tree species in response to water stress: FVS-BGC model parameterization, application, and evaluation
290
Predicting the growth/no-growth boundary and ochratoxin A production by Aspergillus carbonarius in pistachio nuts Original Research Article
291
Predicting the Hairiness of Cotton Rotor Spinning Yarns by Artificial Intelligence
292
Predicting the Hall–Petch effect in fcc metals using non-local crystal plasticity
293
Predicting the Hamstring Tendon Diameter Using Anthropometric Parameters
294
Predicting the handlability of a coal blend from measurements on the source coals
295
Predicting the health expenditures in Iran using TVP models
296
Predicting the health performance of high school principals based on spirituality in the workplace, Tabriz, Iran (2018-2019)
297
Predicting the heating value of MSW with a feed forward neural network
298
Predicting the heating value of sewage sludges in Thailand from proximate and ultimate analyses
299
Predicting the heating value of solid manure with visible and near-infrared spectroscopy
300
Predicting the helpfulness of online reviews using multilayer perceptron neural networks
301
Predicting the HER2 status of breast cancer from basic histopathology data: an analysis of 1500 breast cancers as part of the HER2000 International Study
302
Predicting the higher heating values of waste frying oils as potential biodiesel feedstock
303
Predicting the Hydrate Formation Temperature by a New Correlation and Neural Network
304
Predicting the hydraulic conductivity of saturated clays using plasticity-value correlations
305
Predicting the identity and fate of plant invaders: Emergent and emerging approaches Original Research Article
306
Predicting the identity of decompressing veins after cavopulmonary anastomoses
307
PREDICTING THE IMAGE OF TURKEY an‎d THE PRIME MINISTER ERDOĞAN THROUGH CONTENT ANALYSIS OF NATIONAL NEWS MEDIA COVERAGE OF DAVOS INCIDENT
308
Predicting the impact of adhesive forces on particle mixing and segregation
309
PREDICTING THE IMPACT OF ANTICIPATORY ACTION ON U.S. STOCK MARKET—AN EVENT STUDY USING ANFIS (A NEURAL FUZZY MODEL)
310
Predicting the impact of climate change on regional and seasonal abundance of the mealybug Phenacoccus solenopsis Tinsley (Hemiptera: Pseudococcidae) using temperature-driven phenology model linked to GIS
311
Predicting the impact of climate change on regional and seasonal abundance of the mealybug Phenacoccus solenopsis Tinsley (Hemiptera: Pseudococcidae) using temperature-driven phenology model linked to GIS
312
Predicting the impact of food processing on food constituents Original Research Article
313
Predicting the impact of hospital health information technology adoption on patient satisfaction
314
Predicting the impact of introduced marine species: Lessons from the multiple invasions of the European green crab Carcinus maenas Original Research Article
315
Predicting the impact of land use on the major element and nutrient fluxes in coastal Mediterranean rivers: The case of the Têt River (Southern France)
316
Predicting the impact of population level risk reduction in cardio-vascular disease and stroke on acute hospital admission rates over a 5 year period—a pilot study
317
Predicting the impact of present and future human land-use on the Great Barrier Reef
318
Predicting the impacts of climate change on distribution of the genus Macrovipera in Iran A.F. Reuss, 1927 in Iran (Reptiles: Squamata)
319
Predicting the impacts of climate change—A case study of paddy irrigation water requirements in Sri Lanka
320
Predicting the impacts of disturbance on shorebird mortality using a behaviour-based model Original Research Article
321
Predicting the impacts of edge effects in fragmented habitats: Laurance and Yensen’s core area model revisited
322
Predicting the impacts of urbanization on riparian bird communities Original Research Article
323
Predicting the In Vitro Toxicity of Synthetic Beta-Amyloid (1-40)
324
Predicting the Incidence of Smear Positive Tuberculosis Cases in Iran Using Time Series Analysis
325
Predicting the index flood in ungauged UK catchments: On the link between data-transfer and spatial model error structure
326
Predicting the Influence of Electrical Discharge Machining (EDM) Parameters on the Finished Work Surface in CK45 Steel
327
Predicting the influence of groove angle on heat transfer and fluid flow for new gas metal arc welding processes
328
Predicting the influence of operating conditions on DCMD flux and thermal efficiency for incompressible and compressible membrane systems Original Research Article
329
Predicting the influence of overload and loading mode on fatigue crack growth: A numerical approach using irreversible cohesive elements
330
Predicting the influence of pore characteristics on ductility of thin-walled high pressure die casting magnesium
331
Predicting the influence of temperature on fatigue crack propagation in Fibre Metal Laminates
332
Predicting the Influence of Travel Web Site Effectiveness Characteristics on Technology Acceptance and its Marketing Implications
333
Predicting the influence of ultrasonication energy on the reinforcing efficiency of carbon nanotubes
334
Predicting the infrared band profiles for CO2 cloud particles on Mars
335
Predicting the in-Hospital Outcome in Acute Heart Failure: Role of Laboratory Tests
336
Predicting the initial freezing point and water activity of meat products from composition data Original Research Article
337
Predicting the initial rate of water absorption in clay bricks
338
Predicting the initiation of substance abuse in Iranian adolescents
339
Predicting the intensity of losses vs. non-gains and non-losses vs. gains in judging fairness and value: A test of the loss aversion explanation
340
Predicting the intention to perform physical activity in the elderly based on the theory of planned behavior
341
Predicting the intention to use consumer-generated media for travel planning
342
Predicting the interfaces between fatigue crack growth regimes in 7150-T651 aluminium alloy using the fatigue damage map
343
Predicting the interfaces between fatigue crack growth regimes in 7150-T651 aluminium alloy using the fatigue damage map
344
Predicting the interfaces between fatigue crack growth regimes in 7150-T651 aluminium alloy using the fatigue damage map
345
Predicting the internal bond strength of particleboard, utilizing a radial basis function neural network
346
Predicting the Interpersonal Targets of Self-Serving Attributions,
347
Predicting the invasion risk by the alien bee-hawking Yellow-legged hornet Vespa velutina nigrithorax across Europe and other continents with niche models
348
Predicting the ionization threshold for carriers in excited semiconductors
349
Predicting the J integral fracture toughness of Al 6061 using the small punch test
350
Predicting the job Satisfaction of Teachers Based on Their Emotional Intelligence and Self-Efficacy
351
Predicting the kinematic viscosity of FAMEs and biodiesel: Empirical models
352
Predicting the kinematics and kinetics of gait based on the optimum trajectory of the swing limb
353
Predicting the kinetics of cell spreading
354
Predicting the kinetics of the dissociative adsorption of homonuclear molecules on metal surfaces in gas phase and solution II. Numerical calculations of the molecular oxygen dissociative adsorption on the Pd(1 1 1) surface
355
Predicting the kinetics of the dissociative adsorption of homonuclear molecules on metal surfaces in gas phase and solution: I. Rate constant of the elementary step of adiabatic reaction
356
Predicting the large-scale consequences of offshore wind turbine array development on a North Sea ecosystem
357
Predicting the laser weldability of dissimilar polymers
358
Predicting the level of B2B e-commerce in industrial organization
359
Predicting the Level of Salesperson’s Performance in Encouraging Customers to Use Appropriate Shopping Strategies in Sports Clubs
360
Predicting the Likelihood and Extent of Reinforced Concrete Corrosion-Induced Cracking
361
Predicting the Likelihood and Extent of Reinforced Concrete Corrosion-Induced Cracking
362
Predicting the likelihood of developing boar taint: Early physical indicators in entire male pigs
363
Predicting the limits of the oasis effect as a cooling phenomenon in hot deserts
364
Predicting the location of northern goshawk nests: modeling the spatial dependency between nest locations and forest structure
365
Predicting the location of northern goshawk nests: modeling the spatial dependency between nest locations and forest structure
366
Predicting the long tail of book sales: Unearthing the power-law exponent
367
Predicting the long term behaviour of 90Sr in lacustrine systems by a collective model
368
Predicting the long term behaviour of 90Sr in lacustrine systems by a collective model
369
Predicting the long term durability of concrete engineered barriers in a geological repository for radioactive waste
370
Predicting the Longevity of Finger Millet and Vegetable Amaranth Seeds During Storage Under Controlled Temperature and Moisture Content Conditions
371
Predicting the longitudinal axial strain in the plastic hinge regions of reinforced concrete beams subjected to reversed cyclic loading
372
Predicting the long-term durability of building stones against freeze–thaw using a decay function model
373
Predicting the long-term durability of limestones subjected to freeze–thaw cycles (case study: Guilan province, north of Iran
374
Predicting the Long-Term Effects of Cardiac Resynchronization Therapy on Mortality From Baseline Variables and the Early Response: A Report From the CARE-HF (Cardiac Resynchronization in Heart Failure) Trial Original Research Article
375
Predicting the long-term solar wind ion-sputtering source at Mercury
376
Predicting the loss of commuter air service in the United States
377
Predicting the L-position of the storm-injected relativistic electron belt Original Research Article
378
Predicting the macroscopic shear strength of adhesively-bonded friction interfaces by microscale finite element simulations
379
Predicting the Magnitude of the Reflex Response to Insertions in Ubiquitin
380
Predicting the maintainability of XSL transformations
381
Predicting the maintenance cost of construction equipment: Comparison between general regression neural network and Box–Jenkins time series models
382
Predicting the Marital Satisfaction of the Medical Sciences Students Based on their Emotional Intelligence
383
Predicting the market evolution of computers: was the revolution really
384
Predicting the market potential of plug-in electric vehicles using multiday GPS data
385
Predicting the material loss around a hole due to sand erosion
386
Predicting the Meaning of Life Based on Moral Development, Cognitive Styles, and Hopefulness in Patients With Type 2 Diabetes
387
Predicting the Meaning of Life-Based on Moral Development and Cognitive Styles in Patients with Type 2 Diabetes
388
Predicting the mechanical characteristics of hydrogen functionalized graphene sheets using artificial neural network approach
389
Predicting the mechanical properties of glass fiber reinforced polymers via artificial neural network and adaptive neuro-fuzzy inference system
390
Predicting the mechanical properties of second period refractory transition metal alloys
391
Predicting the Medals of the Countries Participating in the Tokyo 2020 Olympic Games Using the Test of Networks of Multilayer Perceptron (MLP
392
Predicting the melting points and the enthalpies of fusion of saturated triglycerides by a group contribution method
393
Predicting the Mental Health of Multiple Sclerosis (MS) Patients based on Relationship Quality, Early Maladaptive Schemas, and Fear of Disease Progression
394
Predicting the metal growth mode and wetting of noble metals supported on c-ZrO2
395
Predicting the methane yield of lignocellulosic biomass in mesophilic solid-state anaerobic digestion based on feedstock characteristics and process parameters
396
Predicting the Microclimate in a Naturally Ventilated Plastic House in a Mediterranean Climate
397
Predicting the migration of dissolved toxic substances from catchments by a collective model
398
Predicting the migration of dissolved toxic substances from catchments by a collective model
399
Predicting the minimum fluidization velocity of polydisperse mixtures of scrap-wood particles
400
Predicting the mobility of Zn, Fe, Cu, Pb, Cd from roasted sulfide (pyrite) residues—A case study of wastes from the sulfuric acid industry in Sweden
401
Predicting the Model of Psychological Capital based on Mindfulness with the Intermediary Anxiety in Obese women Candidates for Bariatric Surgery
402
Predicting the moisture and salt contents of sardine sheets during vacuum pulse osmotic dehydration Original Research Article
403
Predicting the morphology of nanostructured composites
404
Predicting the mortality due to Covid-19 by the next month for Italy, Iran and South Korea; a simulation study
405
Predicting the mortality of Pinus sylvestris attacked by Gremmeniella abietina and occurrence of Tomicus piniperda colonization
406
Predicting the most likely diffusion sequence of a new technology through the economy: The case of superconductivity
407
Predicting the Motion of Particles in Newtonian Mechanics and Special Relativity
408
Predicting the motion of phase defects in a traveling-wave convection pattern
409
Predicting the near-field evolution of airplane trailing vortices
410
Predicting the near-field mixing of desalination discharges in a stationary environment Original Research Article
411
Predicting the need for CT imaging in children with minor head injury using an ensemble of Naive Bayes classifiers
412
Predicting the Need for Intubation among COVID-19 Patients Using Machine Learning Algorithms: A Single-Center Study
413
Predicting the need of formal care in Taiwan: Analysis of a national random sample
414
Predicting the net carbon exchanges of crop rotations in Europe with an agro-ecosystem model
415
Predicting the neutralisation of acid mine drainage in anoxic olivine drains
416
Predicting the neutrino spectrum in SUSY SO(10) Original Research Article
417
Predicting the next pandemic
418
Predicting the Next State of Traffic by Data Mining Classification Techniques
419
Predicting the next step of a random walk: experimental evidence of regime-shifting beliefs
420
Predicting the NO3 radical tropospheric degradability of organic pollutants by theoretical molecular descriptors
421
Predicting the nonlinear response and failure of composite laminates: correlation with experimental results
422
Predicting the nonlinear response and progressive failure of composite laminates
423
Predicting the nonlinear shift of stable equilibria in interlimb rhythmic coordination
424
Predicting the normalized, undrained shear strength of saturated fine-grained soils using plasticity-value correlations
425
Predicting the number of comments on Facebook posts using an ensemble regression model
426
Predicting the Number of COVID-19 Sufferers in Malang City Using the Backpropagation Neural Network with the Fletcher–Reeves Method
427
Predicting the number, death, and self-pruning of branches in Scots pine
428
Predicting the nutritive value of the olive leaf (Olea europaea): digestibility and chemical composition and in vitro studies
429
Predicting the occurrence of grind hardening in cubic boron nitride grinding of crankshaft steel
430
Predicting the occurrence of headache and back pain in young adults by biopsychological characteristics assessed at childhood or adolescence
431
Predicting the Occurrence of Hydraulic Fracture in Grouting Operations Based on the Pressure in the Penetrated Cement Grout
432
Predicting the occurrence of nonindigenous species using environmental and remotely sensed data
433
Predicting the occurrence of rocky reefs in a heterogeneous archipelago area with limited data
434
Predicting the onset of dynamic instability of a cylindrical plate under axial flow conditions
435
Predicting the onset of flow unsteadiness based on global instability
436
Predicting the onset of parturition in the goat by determining progesterone levels by enzyme immunoassay
437
Predicting the operation and maintenance costs of condominium properties in the project planning phase: An artificial neural network approach
438
Predicting the optical properties of the West Florida Shelf: resolving the potential impacts of a terrestrial boundary condition on the distribution of colored dissolved and particulate matter
439
Predicting the Osmylation and Oxidation of Diamond (100)-a “Big Molecular Alkene”- with Osmium Tetraoxide
440
Predicting the outcome in patients with unexplained syncope and suspected cardiac cause: Role of electrophysiologic studies
441
Predicting the outcome of a two-party price negotiation: Contribution of reservation price, aspiration price and opening offer
442
Predicting the Outcome of Construction Litigation Using Neural Networks
443
Predicting the outcome of laser treatment for pigmented lesions
444
Predicting the outcome of long-term care by clinical and functional indices: the role of nutritional status
445
Predicting the outcome of salvage radiation therapy for recurrent prostate cancer after radical prostatectomy: Stephenson AJ, Scardino PT, Kattan MW, Pisansky TM, Slawin KM, Klein EA, Anscher MS, Michalski JM, Sandler HM, Lin DW, Forman JD, Zelefsky MJ, K
446
Predicting the outcome of surgery for children with cerebral palsy using pre-operative gait analysis
447
Predicting the Outcomes of Combination Therapy in Patients With Chronic Hepatitis C Using Artificial Neural Network
448
Predicting the outcomes of National Football League games
449
Predicting the overall specific energy requirement of crushing, high pressure grinding roll and tumbling mill circuits
450
Predicting the Pathogenic Potential of BRCA1 and BRCA2 Gene Variants Identified in Clinical Genetic Testing
451
Predicting the pattern of economics research: The case of the real business cycle theory
452
Predicting the patterns, perceptions and causes of human–carnivore conflict in and around Machiara National Park, Pakistan
453
Predicting the penetration and perforation of FRP laminates struck normally by projectiles with different nose shapes
454
Predicting the performance and exhaust NOX emissions of a spark-ignition engine generator fueled with methane based biogases containing various amounts of CO2
455
Predicting the performance and NOx emissions of a turbocharged spark-ignition engine generator fueled with biogases and hydrogen addition under down-boosting condition
456
Predicting the performance measures of an optical distributed shared memory multiprocessor by using support vector regression
457
Predicting the Performance of a 3D Processor-Memory Chip Stack
458
Predicting the Performance of Activated Carbon-, Coke-, and Soil-Amended Thin Layer Sediment Caps
459
Predicting the performance of amorphous and crystalline silicon based photovoltaic solar thermal collectors
460
Predicting the performance of an electrohydraulic servomotor using mathematical modeling and neural networks
461
Predicting the performance of gas-sparged and non-gas-sparged ultrafiltration Original Research Article
462
Predicting the Performance of Gorgan Wastewater Treatment Plant Using ANN-GA, CANFIS, and ANN Models
463
Predicting the performance of granulation binders through micro-mechanistic observations
464
Predicting the performance of molecularly imprinted polymers: Selective extraction of caffeine by molecularly imprinted solid phase extraction Original Research Article
465
Predicting the Performance of Randomized Parallel Search: An Application to Robot Motion Planning
466
Predicting the performance of RO membranes
467
Predicting the performance of submerged arc furnace with varied raw material combinations using artificial neural network
468
Predicting the performances of rigid rover wheels on extraterrestrial surfaces based on test results obtained on earth
469
Predicting the permeability of the near-bottomhole zone during wave impact
470
Predicting the phase composition curve in frozen soils using index properties: A physico-empirical approach
471
Predicting the phase equilibria of CO2 + hydrocarbon systems with the PPR78 model (PR EOS and kij calculated through a group contribution method)
472
Predicting the phenomenology of episodic future thoughts
473
Predicting the phenotypic response of resource-competing communities to environmental change
474
Predicting the philanthropic response of corporations: Lessons from history
475
Predicting the Physical Effects of Relocating Bostons Sewage Outfall
476
Predicting the potential distribution of an endangered cryptic subterranean mammal from few occurrence records
477
Predicting the Potential Distribution of Centaurea balsamita Lam. in the world in current conditions and future climate change
478
Predicting the Potential Distribution of Crataegus azarolus L. under Climate Change in Central Zagros, Iran
479
Predicting the Potential Distribution of Jujube (Ziziphus jujuba Mill.) in Iran
480
Predicting the Potential Distribution of Major Malaria Vectors Based on Climate Changes in Sistan and Baluchistan Province, Southeastern Iran
481
Predicting the potential distribution of the beaded lizard and identification of priority areas for conservation
482
Predicting the potential impact of a cytotoxic T-lymphocyte HIV vaccine: How often should you vaccinate and how strong should the vaccine be?
483
Predicting the potential of soils to supply phosphorus by integrating soil chemical processes and standard soil tests
484
Predicting the potential of wearable technology
485
Predicting the preferential sites to liquid droplet erosion of the bellows assemblies by CFD
486
Predicting the presence and side of extracapsular extension: A nomogram for staging prostate cancer: Ohori M, Kattan MW, Koh H, Maru N, Slawin KM, Shariat S, Muramoto M, Reuter VE, Wheeler TM, Scardino PT, Department of Urology, Memorial Sloan-Kettering C
487
Predicting the Present and Future Distribution of Medusahead and Barbed Goatgrass in Iran
488
Predicting the pressure coefficients in a naturally ventilated test room using artificial neural networks
489
Predicting the pressure drop across hot gas filter (CTF) installed in a commercial size PFBC system
490
Predicting the pressure drop across the solids flow rate control device of a circulating fluidized bed
491
Predicting the pressure–sinkage characteristics of two forest sites in Ireland using in situ soil mechanical properties
492
Predicting the pressure–volume curve of an elastic microsphere composite
493
predicting the prevalence of covid-19 and its mortality rate in iran using lyapunov exponent
494
Predicting the Priorities of Multicultural Education in a Philippine Teacher Education Institution: An Exploratory Study
495
Predicting the probability distribution of Pb-increased lands in sewage-irrigated region: A case study in Beijing, China
496
Predicting the probability for fission gas resolution into uranium dioxide
497
Predicting the probability of occurrence of spread-F over Brazil using neural networks Original Research Article
498
Predicting the probability of survival in intensive care unit patients from a small number of variables and training examples
499
Predicting the profile of nutrients available for absorption: from nutrient requirement to animal response and environmental impact
500
Predicting the protein solubility by integrating chaos games representation and entropy in information theory
501
Predicting the Psychological Empowerment of Faculty Members Based on the Spiritual Leadership Model
502
Predicting the pullout response of inclined hooked steel fibers
503
Predicting the pyrolysis of single biomass particles based on a time and space integral method
504
Predicting the pyrolysis of single biomass particles based on a time and space integral method
505
Predicting the pyrolysis of wood considering char oxidation under different ambient oxygen concentrations
506
Predicting the quality of attachment relationships in foster care dyads from infants’ initial behaviors upon placement
507
Predicting the Quality of Life Based on Health-promoting and Mindfulness Lifestyle in Pregnant Women With Obesity Referring to Comprehensive Health Centers in Arak City, Iran
508
Predicting the quality of life in Hong Kong Chinese adults with epilepsy
509
Predicting the Quality of Life in Infertile Women Based on Alexithymia and Spiritual health with The Mediating Role of Loneliness
510
Predicting the Quality of Life of Patients with Mild Traumatic Brain Injury: A Study Based on Psychological Variables
511
Predicting the Quality of Marital Life: The Role of Mindfulness and Spiritual Experiences
512
Predicting the Quality of Sleep Based on Job Burnout and the Anxiety of Being Infected by the Coronavirus among the Treatment Staff Taking Care of Patients with COVID-19
513
Predicting the quality of the final product using multivariate statistical techniques — A case study
514
Predicting the Quality of Work Life of Teachers Based On Conflict Management, Occupational Stressors and Emotional Harassment in Tehran
515
Predicting the quantities of oil and gas generated fromAustralian Permian coals, Bowen Basin using pyrolyticmethods
516
Predicting the R/S absolute configuration in asymmetric bifunctional catalysis (ABC)
517
Predicting the radiation environment at high-luminosity hadron-collider experiments
518
Predicting the radiation environment at high-luminosity hadron-collider experiments
519
Predicting the rate and extent of cadmium and copper desorption from soils in the presence of bacterial extracellular polymer
520
Predicting the rate of cigarette smoking based on resilience and cognitive emotion regulation in the non-clinical population of Shiraz, Iran, 2016
521
Predicting the rate of range expansion of an invasive alien bumblebee (Bombus terrestris) using a stochastic spatio-temporal model
522
Predicting the reactivity of fluorinated compounds with copper using semi-empirical calculations
523
Predicting the recovery of COVID-19 patients using sevisrucer geenraelseued
524
Predicting the reduction in microbes on the surface of foods during surface pasteurisation—the ‘BUGDEATH’ project Original Research Article
525
predicting the relation between biopsychosocial factors and type of childbirth using the decision tree method: a cohort study
526
Predicting the Relative Efficacy of Shock Waveforms for Transthoracic Defibrillation in Dogs, , , ,
527
Predicting the release of metals from ombrotrophic peat due to drought-induced acidification
528
Predicting the relevance of a library catalog search
529
Predicting the remaining service life of land concrete by steel corrosion
530
Predicting the resected tissue weight from a digital rectal examination and total prostate specificantigen level before transurethral resection of the prostate
531
Predicting the residual strength for environmentally degraded adhesive lap joints
532
Predicting the Response of a Submillimeter Bolometer to Cosmic Rays
533
Predicting the Response of Shear-critical Reinforced Concrete Beams using Response-2000 and SNI 2847:2013
534
Predicting the restoration effects by a structural dynamic approach in Lake Chaohu, China
535
Predicting the restoration effects by a structural dynamic approach in Lake Chaohu, China
536
Predicting the Risk of Acute Primary Angle Closure
537
Predicting the risk of bone metastasis in prostate cancer
538
Predicting the risk of cedar leaf blight (Didymascella thujina) in British Columbia under future climate change
539
Predicting the Risk of COVID-19 Among Healthcare Staff Based on the Components of Depression and Death Anxiety
540
Predicting the Risk of Diabetes in Iranian Patients with β-Thalassemia Major / Intermedia Based on Artificial Neural Network
541
Predicting the Risk of Hearing Impairment Following the Cervical Spine Diseases by Measuring the Cervical Range of Movements: A Pilot Study
542
Predicting the risk of losing parcels of semi-natural habitat to intensive agriculture
543
Predicting the Risk of Radiation Pneumonitis and Pulmonary Function Changes after Breast Cancer Radiotherapy
544
Predicting the role of learning approaches, studying strategies, Metacognitive strategies, and reflective thinking with students’ academic achievements
545
Predicting the runtime reliability of ITER Remote Handling maintenance equipment
546
Predicting the saturated hydraulic conductivity of compacted subsoils using the non-similar media concept
547
Predicting the saturated hydraulic conductivity of compacted subsoils using the non-similar media concept
548
Predicting the sediment rate of Nakhilo Port using artificial intelligence
549
Predicting the seed shadows of a Neotropical tree species dispersed by primates using an agent-based model with internal decision making for movements
550
Predicting the seed shadows of a Neotropical tree species dispersed by primates using an agent-based model with internal decision making for movements
551
Predicting the seismic performance of typical R/C healthcare facilities: emphasis on hospitals
552
Predicting the Self-Care Behaviors Associated with COVID-19 in Southeastern Iran; a Cross-Sectional Study
553
Predicting the Sentiment of Tweet Replies using Attentive Graph Convolutional Neural Networks
554
Predicting the service lifetime of lead/acid batteries in photovoltaic systems
555
Predicting the service-life of concrete structures – Limitations of simplified models
556
Predicting the severity of motor vehicle accident injuries using models of ordered multiple choice
557
Predicting the severity of obsessive-compulsive symptoms based on attachment styles: The mediating role of health anxiety
558
Predicting the Severity of Obsessive-compulsive Symptoms Based on Traumatic Childhood Experiences: The Mediating Role of Self-criticism
559
Predicting the severity of obsessive-compulsive syndrome based on perceived parenting style: The mediating role of obsessive beliefs
560
Predicting the shape of blanked products: a finite element approach
561
Predicting the shear strength of reinforced concrete beams using artificial neural networks
562
Predicting the shear strength of steel fiber reinforced concrete beams
563
Predicting the Shooting Accuracy of Soldiers Based on Physical Fitness Factors and Brain-Behavioral Personality Traits
564
Predicting the short-time-scale variability of chlorophyll a in the Elbe River using a Lagrangian-based multi-criterion analog model
565
Predicting the short-time-scale variability of chlorophyll a in the Elbe River using a Lagrangian-based multi-criterion analog model
566
Predicting the side weir discharge coefficient using the optimized neural network by genetic algorithm
567
Predicting the sites of metastases from lung cancer using molecular biologic markers
568
Predicting the size and compositional distributions of wheat flour stocks following first break roller milling using the breakage matrix approach Original Research Article
569
Predicting the size- and temperature-dependent shapes of precipitates in Al–Zn alloys Original Research Article
570
Predicting the size of IDA*ʼs search tree Original Research Article
571
Predicting the slagging potential of co-fired coal with sewage sludge and wood biomass
572
Predicting the Sleep Health of Dual-Career Couples Based on Mindfulness and Work-Family Conflict
573
Predicting the soiling of modern glass in urban environments: A new physically-based model
574
Predicting the solubility of Cd, Cu, Pb and Zn in uncontaminated Croatian soils under different land uses by applying established regression models
575
Predicting the solubility of SrSO4 in Na–Ca–Mg–Sr–Cl–SO4–H2O system at elevated temperatures and pressures
576
Predicting the sorption of fatty alcohols and alcohol ethoxylates to effluent and receiving water solids
577
Predicting the sound reduction index of finite size specimen by a simplified spatial windowing technique
578
Predicting the spatial and temporal variation of the electromagnetic fields, currents, and speeds of subsequent return strokes
579
Predicting the spatial distribution of a population in a heterogeneous landscape
580
Predicting the spatial distribution of a population in a heterogeneous landscape
581
Predicting the spatial distribution of soil profile in Adapazari/Turkey by artificial neural networks using CPT data
582
Predicting the spatial patterns of hillslope sediment delivery to river channels in the Murrumbidgee catchment, Australia
583
Predicting the spatio-temporal dynamic of soil surface characteristics after tillage
584
Predicting the species abundance distribution using a model food web
585
Predicting the species richness of neotropical forest butterflies: Ithomiinae (Lepidoptera: Nymphalidae) as indicators Original Research Article
586
Predicting the specific energy of autogenous and semi-autogenous mills from small diameter drill core samples
587
Predicting the specific energy required for size reduction of relatively coarse feeds in conventional crushers and high pressure grinding rolls
588
Predicting the spectral and broadband aerosol transmittance in the atmosphere for solar radiation modelling
589
Predicting the spectroscopic behaviour of Eu3+ in BaLiF3 via defect modelling and crystal field parameter calculations
590
Predicting the spread of alligator weed (Alternanthera philoxeroides) in Wular lake, India: A mathematical approach
591
Predicting the spread of alligator weed (Alternanthera philoxeroides) in Wular lake, India: A mathematical approach
592
Predicting the spread of the American grey squirrel (Sciurus carolinensis) in Europe: A call for a co-ordinated European approach Original Research Article
593
Predicting the stability of aprotic solvents in Li-air batteries: pKa calculations of aliphatic C–H acids in dimethyl sulfoxide
594
Predicting the stability of low volume road embankments in contingency areas
595
Predicting the start and peak dates of the Poaceae pollen season in Spain using process-based models
596
Predicting the state of cysteines based on sequence information
597
Predicting the strength development of cements produced with different pozzolans by neural network and fuzzy logic
598
Predicting the structural parameters of integrally skinned porous membranes
599
Predicting the structural preferences of luteolin-7-O-β-d-glucoside in the gas phase: An application of the hybrid MCMM/QM approach
600
Predicting the structure and mode of vegetation dynamics: An application of graph theory to state-and-transition models
601
Predicting the structure and mode of vegetation dynamics: An application of graph theory to state-and-transition models
602
Predicting the structure of protein complexes: a step in the right direction
603
Predicting the students’ Brain Executive Functions Based on Their Acculturation in Multicultural High Schools
604
Predicting the subject-specific primary stability of cementless implants during pre-operative planning: Preliminary validation of subject-specific finite-element models
605
Predicting the success of nations at the Summer Olympics using neural networks
606
Predicting the surface chemistry contribution to the flotation recovery of chalcopyrite by ToF-SIMS
607
Predicting the surface tension of biodiesel fuels by a mixture topological index method, at 313 K
608
Predicting the Surface Tension of Refrigerants from Density Gradient Theory and Perturbed Hard-sphere Equation of State
609
Predicting the Survival of AIDS Patients Using Two Frameworks of Statistical Joint Modeling and Comparing Their Predictive Accuracy
610
Predicting the survival or failure of click-and-mortar corporations: A knowledge discovery approach
611
Predicting the Survival Time for Bladder Cancer Using an Addi-tive Hazards Model in Microarray Data
612
Predicting the susceptibility to gully initiation in data-poor regions
613
Predicting the Symptoms of Schizophrenia based on Early Maladaptive Schemas and Dysfunctional Attitudes with the Mediating Role of Self-Esteem
614
Predicting the syngas hydrogen composition by using a dual stage equilibrium model
615
Predicting the temperature dependent density of biodiesel–diesel–bioethanol blends
616
Predicting the temperature dependent viscosity of biodiesel fuels
617
Predicting the temperature for the solid–solid phase transition in II–VI semiconductor alloys Original Research Article
618
Predicting the temperature-dependent viscosity of vegetable oil/diesel reverse microemulsion fuels
619
Predicting the temporal and spatial probability of orographic cloud cover in the Luquillo Experimental Forest in Puerto Rico using generalized linear (mixed) models
620
Predicting the temporal and spatial probability of orographic cloud cover in the Luquillo Experimental Forest in Puerto Rico using generalized linear (mixed) models
621
Predicting the Tendency to High-Risk Behaviors Based on Psychological Flexibility and Attachment Styles in Male and Female High School Students
622
Predicting the tendency towards high-risk behaviors based on moral disengagement with the mediating role of difficulties in emotion regulation: A Structural Equation Modeling
623
Predicting the Tendency towards Rhinoplasty Based on Obsessive-Compulsive Personality Disorder and Body image
624
Predicting the tensile strength of natural fibre reinforced thermoplastics
625
Predicting the Theory of Mind Precursors Based on Parenting Styles and Language Skills in Preschool Children
626
Predicting the thermal conductivity and temperature distribution in 3D braided composites
627
Predicting the thermal conductivity of aluminium alloys in the cryogenic to room temperature range Original Research Article
628
Predicting the thermal conductivity of composite materials with imperfect interfaces
629
Predicting the thermal inactivation of bacteria in a solid matrix: Simulation studies on the relative effects of microbial thermal resistance parameters and process conditions
630
Predicting the thermal performance characteristics of staggered vertical pin fin array heat sinks under combined mode radiation and mixed convection with impinging flow
631
Predicting the thermal responses and radiopacity of multicomponent zinc–silicate bioglasses: A focus on ZnO, La2O3, SiO2 and TiO2
632
Predicting the thermal stability of RE-based bulk metallic glasses
633
Predicting the thermocline in a circulation model of the North sea — part I: model description, calibration and verification
634
Predicting the thickness and aeolian fraction of soils in upland watersheds of the Mojave Desert
635
Predicting the three-dimensional population characteristics of fault zones: a study using stochastic models
636
Predicting the threshold of pulse-train electrical stimuli using a stochastic auditory nerve model: the effects of stimulus noise
637
Predicting the threshold of single-pulse electrical stimuli using a stochastic auditory nerve model: the effects of noise
638
Predicting the Time to Quasi-extinction for Populations far below their Carrying Capacity
639
PREDICTING THE TIMING AND CHARACTERISTICS OF PETROLEUM FORMATION USING TAR MATS AND PETROLEUM ASPHALTENES: A CASE STUDY FROM THE NORTHERN NORTH SEA
640
Predicting the timing of second praziquantel treatment and its effect on reduction of egg counts in southern Ghana
641
Predicting the Top and Bottom Prices of Bitcoin Using Ensemble Machine Learning
642
Predicting the total environmental impact of product technologies
643
Predicting the total fatigue life in metals
644
Predicting the total suspended solids in wastewater: A data-mining approach
645
Predicting the total suspended solids in wastewater: A data-mining approach
646
Predicting the toxicity of complex mixtures using artificial neural networks
647
Predicting the Traffic Crashes of Taxi Drivers by Applying the Non- Linear Learning of ANFIS-PSO with M5 Model Tree
648
Predicting the transfer of 137Cs to rice plants by a dynamic compartment model with a consideration of the soil properties
649
Predicting the transfer of radiocaesium from organic soils to plants using soil characteristics
650
Predicting the transient effects of PWM voltage waveform on the stator windings of random wound induction motors
651
Predicting the transient response of a serpentine flow-field PEMFC: I. Excess to normal fuel and air
652
Predicting the transient response of a serpentine flow-field PEMFC: II: Normal to minimal fuel and AIR
653
Predicting the transport properties of fractured rocks from seismic information: numerical experiments
654
Predicting the trend of the total index of the Tehran Stock Exchange using an image processing technique
655
Predicting the trends of vertebrate species richness as a response to wind farms installation in mountain ecosystems of northwest Portugal
656
Predicting the ultimate bending capacity of concrete beams from the “relaxation ratio” analysis of AE signals
657
Predicting the unpredictable
658
Predicting the urban solar fraction: a methodology for energy advisers and planners based on GIS
659
Predicting the use of single versus multiple types of violence towards children in a representative sample of Quebec families
660
PREDICTING THE VALUE OF THE MINI NUTRITIONAL ASSESSMENT (MNA) AS AN INDICATOR OF FUNCTIONAL ABILITY IN OLDER IRANIAN ADULTS (KAHRIZAK ELDERLY STUDY)
661
Predicting the value of the rock quality index in the Q-system using gene expression programming
662
Predicting the virial coefficients and thermodynamic properties of a multicomponent mixture with application to the ternary mixture of CH2F2+CF3CHF2+CF3CH2F
663
Predicting the viscosity of biodiesel fuels based on the mixture topological index method
664
Predicting the viscosity of liquid refrigerant blends: comparison with experimental data
665
Predicting the Viscosity of Natural Gas
666
Predicting the volatility of the S&P-500 stock index via GARCH models: the role of asymmetries
667
Predicting the Volume of Money in the Economic Geography of Iran
668
Predicting the wake behind a large AUV hydrofoil
669
Predicting the wall thinning engendered by erosion–corrosion using CFD methodology Original Research Article
670
Predicting the wear of hard-on-hard hip joint prostheses
671
Predicting the World Cup 2002 in soccer: Performance and confidence of experts and non-experts
672
Predicting thermal and thermo-oxidative stability of silane-modified clay minerals using thermogravimetry and isoconversional kinetic analysis
673
Predicting thermal breakthrough in heterogeneous media from tracer tests
674
Predicting thermal degradation kinetics of nylon6/feather keratin blends using artificial intelligence techniques
675
Predicting thermal inactivation in media of different pH of Salmonella grown at different temperatures
676
Predicting thermal instability in a closed loop pulsating heat pipe system
677
Predicting thermal performance in occupied dwellings
678
Predicting thermal response of bridges using regression models derived from measurement histories
679
Predicting thermal shape memory of crosslinked polymer networks from linear viscoelasticity
680
Predicting thermodynamic properties in Ti–Al binary system by FactSage
681
Predicting thermodynamic stability of crucible oxides in molten titanium and titanium alloys
682
Predicting thermo-mechanical behaviour of high minor actinide content composite oxide fuel in a dedicated transmutation facility
683
Predicting three-body abrasive wear using Monte Carlo methods
684
Predicting three-dimensional displacement around the tunnel and its impact on the value of Q-system
685
Predicting Thromboembolism and Selecting Patients for Anticoagulant Therapy in Atrial Fibrillation
686
Predicting tillage practices and agricultural soil disturbance in north central Montana with Landsat imagery
687
Predicting timber harvests from private forests—a utility maximisation approach
688
Predicting time of parturition from changing vaginal temperature measured by data-logging apparatus in beef cows with twin fetuses
689
Predicting Time Series Data at Floodplain Area using Chaos Approach
690
Predicting time series of railway speed restrictions with time-dependent machine learning techniques
691
Predicting Time to Reflux of Children With Antenatal Hydronephrosis: A Competing Risks Approach
692
Predicting time to refractive tability after dicontinuation of rigid contact len wear before refractive urgery
693
Predicting time-dependent pier scour depth with support vector regression
694
Predicting time-dependent remodeling of bone around immediately loaded dental implants with different designs
695
Predicting Tobacco Smoking Among Male Adolescents in Hamadan City, West of Iran in 2014: An Application of the Prototype Willingness Model
696
Predicting Tobacco Use Based on the Theory of Planned Behavior in Adolescent Girls
697
Predicting tonal noise from a high rotational speed centrifugal fan
698
Predicting Tooth Brushing Behavior among Students in Guilan, North of Iran: An Application of the Theory of Planned Behavior
699
Predicting topsoil heavy metal content of parcels of land: An empirical validation of customary and constrained lognormal block kriging and conditional simulations
700
Predicting total health care costs of medicaid recipients: An artificial neural systems approach
701
Predicting total solar irradiation values using artificial neural networks
702
Predicting total urinary nitrogen excretion from urinary urea nitrogen excretion in multiple-trauma patients receiving specialized nutritional support
703
Predicting tourism demand using fuzzy time series and hybrid grey theory
704
Predicting tourism loyalty using an integrated Bayesian network mechanism
705
Predicting Tourist Attachment to Destinations
706
Predicting toxic action mechanisms of phenols using AdaBoost Learner
707
Predicting trabecular bone microdamage initiation and accumulation using a non-linear perfect damage model
708
Predicting Training Transfer of Oxygen Therapy During COVID-19: Theory of Planned Behavior Application
709
Predicting trait impressions of faces using local face recognition techniques
710
Predicting transfer from training performance
711
Predicting transformer temperature rise and loss of life in the presence of harmonic load currents
712
Predicting transfusion in shoulder arthroplasty
713
Predicting transition in two- and three-dimensional separated flows
714
Predicting Transitions in Low and High Levels of Risk Behavior from Early to Middle Adolescence: The TRAILS Study
715
Predicting transmembrane protein topology with a hidden markov model: application to complete genomes
716
Predicting transmission of structure-borne sound power from machines by including terminal cross-coupling
717
Predicting transpiration from forest stands in Belgium for the 21st century
718
Predicting transport by Lagrangian coherent structures with a high-order method
719
Predicting transport diffusivities of binary mixtures in zeolites
720
Predicting transport velocities
721
Predicting traumatic stress using emotional intelligence
722
Predicting Travel Attitudes Among University Faculty After 9/11
723
Predicting travel time to limit congestion at a highway bottleneck
724
Predicting travel times and transport characterization in karst conduits by analyzing tracer-breakthrough curves
725
Predicting Treatment and Follow-up Attrition in Parent–Child Interaction Therapy
726
Predicting tree distributions in an East African biodiversity hotspot: model selection, data bias and envelope uncertainty
727
Predicting tree distributions in an East African biodiversity hotspot: model selection, data bias and envelope uncertainty
728
Predicting tree mortality from diameter growth: a comparison of maximum likelihood and Bayesian approaches
729
Predicting tree species presence and basal area in Utah: A comparison of stochastic gradient boosting, generalized additive models, and tree-based methods
730
Predicting tree species presence and basal area in Utah: A comparison of stochastic gradient boosting, generalized additive models, and tree-based methods
731
Predicting Tree-Year Clinical Outcomes Using the Baseline and Trajectories of Serum Albumin in Patients on Peritoneal Dialysis
732
Predicting trench and plate motion from the dynamics of a strong slab
733
Predicting trend reversals using market instantaneous state
734
Predicting trends in rate parameters for self-diffusion on FCC metal surfaces
735
Predicting Truck At-Fault Crashes Using Crash and Traffic OffenceData
736
Predicting tube repair at French nuclear steam generators using statistical modeling
737
Predicting turbulence and heat transfer in 3-D curved ducts by near-wall second moment closures
738
PREDICTING TURNOVER INTENTION THROUGH ORGANIZATIONAL SUPPORT AND ORGANIZATIONAL COMMITMENT: THE CASE OF A MANUFACTURING COMPANY
739
Predicting turnover of police officers using the sixteen personality factor questionnaire
740
Predicting twinning stress in fcc metals: Linking twin-energy pathways to twin nucleation Original Research Article
741
Predicting Twist Condition by Bayesian Classification and Decision Tree Techniques
742
Predicting type of sexual assault case closure from victim, suspect, and case characteristics
743
Predicting ultimate methane yields of Jatropha curcus and Morus indica from their chemical composition
744
Predicting ultraviolet spectrum of single stranded and double stranded deoxyribonucleic acids Original Research Article
745
Predicting uncertainty in forecasts of weather and climate
746
Predicting Unconfined Compressive Strength of Intact Rock Using New Hybrid Intelligent Models
747
Predicting unfavourable outcome of hypoxic coma in adults: Sensitivity and specificity of clinical signs, somatosensory evoked potentials and EEG
748
Predicting Uniaxial Compressive Strength by Point Load Test: Significance of Cone Penetration
749
Predicting Unilateral Post-laminectomy C5 Palsy by Measuring C5 Exit Foramen Area on Preoperative Computed Tomography
750
Predicting United States Medical Licensure Examination Step 2 clinical knowledge scores from previous academic indicators
751
Predicting unobserved links in incompletely observed networks
752
Predicting unsaturated hydraulic conductivity of soil based on some basic soil properties
753
Predicting Unwanted Pregnancies among Multiparous Mothers in Khorramabad, Iran
754
Predicting urban traffic air pollution: A gis framework
755
PREDICTING URBAN TRIP GENERATION USING A FUZZY EXPERT SYSTEM
756
Predicting US recessions with leading indicators via neural network models
757
Predicting user concerns about online privacy
758
Predicting uterine weight before hysterectomy: Ultrasound measurements versus clinical assessment
759
Predicting vacancy migration energies in lattice-free environments using artificial neural networks
760
Predicting Value of Different Ultrasound Markers for Diagnosing Morbidly Adherent Placenta and Associated Complications
761
Predicting value-added progress of biotechnology firms: An exploratory study
762
Predicting vapor pressures using neural networks
763
Predicting vapor–liquid equilibria of fatty systems
764
Predicting variability in joint frequencies from boreholes
765
Predicting variability in the dynamic failure strength of brittle materials considering pre-existing flaws
766
Predicting variability in the stability of slope sediments due to earthquake ground motion in the AFEN area of the western UK continental shelf
767
Predicting variability of aquatic concentrations of human pharmaceuticals Original Research Article
768
Predicting variation in planned mineral processing plants
769
Predicting vascular complications in percutaneous coronary interventions
770
Predicting vasovagal reactions in volunteer blood donors
771
Predicting VCKM with universal strength of Yukawa couplings
772
Predicting vegetation-related failure rates for overhead distribution feeders
773
Predicting velocities and turbulent momentum exchange in isolated street canyons
774
Predicting vertebral deformity using bone densitometry at various skeletal sites and calcaneus ultrasound
775
Predicting vertical accretion rates at an archaeological site on the Mississippi River floodplain: Effigy Mounds National Monument, Iowa
776
Predicting VFA formation by dark fermentation of particulate substrates
777
Predicting vibration-induced displacement for a resonant friction slider
778
Predicting Violence against spouse based on childhood maltreatment experiences in divorce seekers in Isfahan
779
Predicting violent and nonviolent recidivism of incarcerated male offenders
780
Predicting viscosity of emulsions in the broad range of inner phase concentrations
781
Predicting visual outcomes for macular disease using optical coherence tomography
782
Predicting VLE of heavy esters and their mixtures using GC-SAFT
783
Predicting VNET: A model of the dynamics of market depth
784
Predicting volatility: getting the most out of return data sampled at different frequencies
785
Predicting vortex-induced vibration from driven oscillation results
786
Predicting WAIS-R IQ premorbid ability: Combining subtest performance and demographic variable predictors
787
Predicting warfarin dosage from clinical data: A supervised learning approach
788
Predicting waste generation using Bayesian model averaging
789
Predicting water and current distributions in a commercial-size PEMFC
790
Predicting water content using Gaussian model on soil spectra
791
Predicting water content using Gaussian model on soil spectra
792
Predicting Water Depth of Lake Using Remote Sensing image
793
Predicting water level drawdown and assessment of land subsidence in Damghan aquifer by combining GMS and GEP models
794
Predicting water permeability and relative gas permeability of unsaturated cement-based material from hydraulic diffusivity
795
Predicting water quality in distribution systems using artificial neural networks
796
Predicting water quality in distribution systems using artificial neural networks
797
Predicting water table depths in space and time using a regionalised time series model
798
Predicting water transport in multilayer coatings
799
Predicting Water-Surface Fluctuation of Continental Lakes: A RS and GIS Based Approach in Central Mexico
800
Predicting wear of UHMWPE: Decreasing wear rate following a change in direction
801
Predicting weather, climate and extreme events
802
Predicting web user behavior using learning-based ant colony optimization
803
Predicting web user behavior using learning-based ant colony optimization
804
Predicting weekly defect inflow in large software projects based on project planning and test status
805
Predicting weld solidification cracks in multipass welds of SUS310 stainless steel
806
Predicting weld toe stress concentration factors for T and skewed T-joint plate connections
807
Predicting welding residual stresses in a dissimilar metal girth welded pipe using 3D finite element model with a simplified heat source
808
Predicting wetland contamination from atmospheric deposition measurements of pesticides in the Canadian Prairie Pothole region
809
Predicting wetting front advance in soils using simple laboratory derived hydraulic parameters
810
Predicting wheat lodging at large scales
811
Predicting Wheat Production in Pakistan by using an Artificial Neural Network Approach
812
Predicting when animal populations are at risk from roads: an interactive model of road avoidance behavior
813
Predicting when animal populations are at risk from roads: an interactive model of road avoidance behavior
814
Predicting whether patients receive continuity of care after discharge from state hospitals: Policy implications
815
Predicting who benefits from psychoeducation and self help for panic attacks
816
Predicting who suffers psychological trauma in the first year after a road accident
817
Predicting who will drop out of nursing courses: A machine learning exercise
818
Predicting Wimbledon 2005 tennis results by mere player name recognition
819
Predicting window condensation potential for a large viewing gallery
820
Predicting winning and losing businesses when changing electricity tariffs
821
Predicting with the quantify intensities of transcription factor-target genes binding using random forest technique
822
Predicting Women s Marital Adjustment based on Attitudes toward Infidelity, Health Literacy and Self-Care in their Diabetic Spouses in Ahvaz
823
Predicting Women s Sexual Function Based on Circadian Rhythms and Anxiety Sensitivity
824
Predicting Women's Sexual Function through Sexual Self-Efficacy according to the Mediator Variable of Conflict Resolution Techniques
825
Predicting Work Activities with Divergent Thinking Tests: A Longitudinal Study
826
Predicting Work Performance based on the Job Characteristics and Organizational Trust with the Mediation of Work Alienation in Healthcare Workers in the Oil Industry in the Northwest of Iran
827
Predicting work-related stress in correctional officers: A meta-analysis
828
Predicting yield of barley across a landscape: a state-space modeling approach
829
Predicting yield strengths and effusion rates of lava domes from morphology and underlying topography
830
Predicting yield-stress anomalies in L12 alloys: Ni3Ge-Fe3Ge pseudo-binaries
831
Predicting Young Adult Civic Involvement From Adolescent Activities and Family Structure: A Social Capital Approach
832
Predicting young childrenʹs quality of life
833
Predicting Young’s Modulus of Aggregated Carbon Nanotube Reinforced Polymer
834
Predicting Youngʹs modulus of glass/ceramic sealant for solid oxide fuel cell considering the combined effects of aging, micro-voids and self-healing
835
Predicting Zero Coefficients in Formal Power Series Computations
836
Predicting, Measuring, and Tailoring the Transverse Thermal Conductivity of Composites from Polymer Matrix and Metal Filler
837
Predicting, Preparing for, and Creating the Future: What Will Happen to Internal Medicine?
838
Prediction Of Track Records in Track Field For Asia Competitions 2010 , Using Gray prediction Model
839
Prediction ability
840
Prediction ability and sensitivity of artificial intelligence-based habitat preference models for predicting spatial distribution of Japanese medaka (Oryzias latipes)
841
Prediction ability and sensitivity of artificial intelligence-based habitat preference models for predicting spatial distribution of Japanese medaka (Oryzias latipes)
842
Prediction ability of a new minimum bubbling criterion
843
Prediction Accuracy for Projectwide Evapotranspiration Using Crop Coefficients and Reference Evapotranspiration
844
Prediction Accuracy in Multivariate Repeated-Measures Bayesian Forecasting Models with Examples Drawn from Research on Sleep and Circadian Rhythms
845
Prediction adsorption coefficients (KOC) for aromatic compounds by HPLC retention factors (K′)
846
PREDICTION ALGORITHM FOR TORQUE RIPPLE
847
PREDICTION ALGORITHM FOR TORQUE RIPPLE REDUCTION IN DTC-BASED DRIVES
848
Prediction Analysis for Business To Business (B2B) Sales of Telecommunication Services using Machine Learning Techniques
849
Prediction and alternative conservation techniques of erosion at sugarcane plantation under wet tropical region
850
Prediction and analysis of human errors on the Boiler operator using PHEA method: A case study in dairy industry
851
Prediction and Analysis of Protein Ubiquitin Sites in the Model Plant A. thaliana
852
Prediction and analysis of the seasonal performance of tri-generation and CO2 refrigeration systems in supermarkets
853
Prediction and Analysis on Oxidation of H13 Hot Work Steel Original Research Article
854
Prediction and analytical description of the single laser track geometry in direct laser fabrication from process parameters and energy balance reasoning
855
Prediction and application in QSPR of aqueous solubility of sulfur-containing aromatic esters using GA-based MLR with quantum descriptors
856
Prediction and assessment of bark beetle-induced mortality of lodgepole pine using estimates of stand vigor derived from remotely sensed data
857
Prediction and assessment of drought effects on surface water quality using artificial neural networks: case study of Zayandehrud River, Iran
858
Prediction and assessment of student behaviour in open and distance education in computers using Bayesian networks
859
Prediction and assessment of the response of Paget’s disease to bisphosphonate treatment
860
Prediction and assignment of site occupation and energy levels for Pb2+ ions in crystal hosts
861
Prediction and avoidance of high temperature damage in long product hot rolling
862
Prediction and calculation of azeotropic behaviour from an equation of state
863
Prediction and calculation of morphological characteristics and distribution of assimilates in the ROSGRO model Original Research Article
864
Prediction and characterization of drug release in a multi-drug release system
865
Prediction and characterization of growth temperatures in Al–Zn–Mg alloys
866
Prediction and characterization of residual stresses from laser shock peening
867
Prediction and characterization of the BeXY (X, Y = H, F, Cl, OH)–C6H6 complexes: Multicomponent nonbonded interactions
868
Prediction and characterization of the linear IgE epitopes for the major soybean allergen β-conglycinin using immunoinformatics tools
869
Prediction and Classification of Low Birth Weight Data Using Machine Learning Techniques
870
Prediction and Classification of Non-stationary Categorical Time Series
871
Prediction and classification of sugar content of sugarcane based on skin scanning using visible and shortwave near infrared
872
Prediction and classification when the diagnostic classes are related
873
Prediction and compensation of machining geometric errors of five-axis machining centers with kinematic errors
874
Prediction and compensation of motion accuracy in a linear motion bearing table
875
Prediction and confidence intervals for nonlinear measurement error models without identifiability information
876
Prediction and control for a time-series count data model
877
Prediction and control of combustion instabilities in industrial gas turbines
878
Prediction and control of equiaxed α in near-β forging of TA15 Ti-alloy based on BP neural network: For purpose of tri-modal microstructure
879
Prediction and control of microstructure evolution for sub-microscale α-Al2O3 during low-heating-rate sintering based on the master sintering curve theory
880
Prediction and control of part distortion during the hot extrusion of titanium alloys
881
Prediction and Control of Stroke by Data Mining
882
Prediction and control of subgrain size in the hot extrusion of aluminium alloys with feeder plates
883
Prediction and control of surface roughness in CNC lathe using artificial neural network
884
Prediction and control of weld bead geometry and shape relationships in submerged arc welding of pipes
885
Prediction and control: operational definitions for the experimental analysis of anxiety
886
Prediction and Correlation of CO2 Solubility in MDEAAqueous Solutions Using the Extended Debye-HiickelModel
887
Prediction and Correlation of CO2 Solubility in MDEAAqueous Solutions Using the Extended Debye-HiickelModel
888
Prediction and Correlation of High-Pressure Gas Solubility in Polymers with Simplified PCSAFT
889
Prediction and correlation of the average crack-opening stress with service load cycles
890
Prediction and correlation of triglyceride–solvent solid–liquid equilibria with activity coefficient models
891
Prediction and Course of Diastolic Dysfunction in COVID-19 Associated Pediatric Multisystem Inflammatory Syndrome
892
Prediction and design of edge shape of initial strip for thick tube roll forming using finite element method
893
Prediction and Diagnosis of Diabetes by Using Data Mining Techniques
894
Prediction and Diagnosis of Diabetes Mellitus using a Water Wave Optimization Algorithm
895
Prediction and Diagnosis of Non-Alcoholic Fatty Liver Disease (NAFLD) and Identification of Its Associated Factors Using the Classification Tree Method
896
Prediction and Diagnosis of Poor Ovarian Response: The Dilemma
897
Prediction and early detection of mycotoxigenic Fusarium culmorum in wheat by direct PCR-based procedure
898
Prediction and elimination of springback in straight flanging using computer aided design methods: Part 1. Experimental investigations
899
Prediction and elimination of springback in straight flanging using computer-aided design methods: Part 2: FEM predictions and tool design
900
Prediction and elucidation of phytoplankton dynamics in the Nakdong River (Korea) by means of a recurrent artificial neural network
901
Prediction and elucidation of phytoplankton dynamics in the Nakdong River (Korea) by means of a recurrent artificial neural network
902
Prediction and elucidation of the population dynamics of Microcystis spp. in Lake Dianchi (China) by means of artificial neural networks
903
Prediction and evaluation of impact sound transmission in apartment building structures by statistical energy analysis (SEA)
904
Prediction and evaluation of sintering aids for Cerium Gadolinium Oxide
905
Prediction and evaluation of the reactivity of self-reactive substances using microcalorimetries
906
Prediction and evolution of drop-size distribution for a new ultrasonic atomizer
907
Prediction and experimental validation of liquid-phase diffusion resistance in unsaturated soils
908
Prediction and experimental validation of osteoporosis susceptibility genes by computational disease gene identification strategy
909
Prediction and experimental verification of performance of box type solar cooker – Part I. Cooking vessel with central cylindrical cavity
910
Prediction and experimental verification of performance of box type solar cooker. Part II: Cooking vessel with depressed lid
911
Prediction and experimental verification of the effect of salt on the vapour–liquid equilibrium of ethanol/1-propanol/water mixture
912
Prediction and Experimental Verification of the Hoe Path of a Rear-mounted Inter-row Weeder
913
Prediction and experimental verification of the salt effect on the vapour–liquid equilibrium of water–ethanol–2-propanol mixture
914
Prediction and forecasting in linear models with measurement error
915
Prediction and Functional Analysis of Native Disorder in Proteins from the Three Kingdoms of Life
916
Prediction and fuzzy synthetic optimization of process parameters in heavy clay brick production
917
Prediction and identification of calcium-rich phases in Al–Si alloys by electron backscatter diffraction EBSD/SEM
918
Prediction and Incidence of Atrial Fibrillation After Aortic Arch Repair
919
Prediction and interpretation of the 57Fe isomer shift in Mössbauer spectra by density functional theory
920
Prediction and interpretation of the antioxidant capacity of green tea from dissimilar chromatographic fingerprints
921
Prediction and inverse estimation in repeated-measures models
922
Prediction and limitation of polymer degradation in Environmental SEM
923
Prediction and limitation of polymer degradation in Environmental SEM
924
Prediction and management of physical injuries caused by gym equipment and facilities using a Support Vector Machine (SVM) algorithm
925
Prediction and Manipulation of the Stereochemistry of Enoylreduction in Modular Polyketide Synthases Original Research Article
926
Prediction and measurement of axial flow fan aerodynamic and aeroacoustic performance in a split-type air-conditioner outdoor unit
927
Prediction and Measurement of Bubble Formation in Water Treatment
928
Prediction and measurement of incipient boiling heat flux in micro-channel heat sinks
929
Prediction and measurement of mass transport in experimental solar stills
930
Prediction and measurement of neutron energy spectrum in a material test research reactor
931
Prediction and measurement of phase equilibria for the extraction of BTX from naphtha reformate using BMIMPF6 ionic liquid
932
Prediction and Measurement of Residual Strains for a Composite Bonded Joint
933
Prediction and measurement of residual stresses in quenched stainless-steel spheres
934
Prediction and measurement of residual stresses in quenched stainless-steel spheres
935
PREDICTION AND MEASUREMENT OF SOME DYNAMIC PROPERTIES OF SANDWICH STRUCTURES WITH HONEYCOMB AND FOAM CORES
936
Prediction and measurement of the roll motion of a sailing yacht at zero forward speed
937
Prediction and measurement of welding distortion of a spherical structure assembled from multi thin plates
938
Prediction and measurements of vibrations from a railway track lying on a peaty ground
939
Prediction and minimisation of sheet thickness variation during deep drawing of micro/milli parts
940
Prediction and minimisation of sheet thickness variation during deep drawing of micro/milli parts
941
Prediction and minimization of vertical migration of DNAPLS using surfactant enhanced aquifer remediation at neutral buoyancy
942
Prediction and mitigation of disruptions in ASDEX Upgrade
943
Prediction and modeling of fluoride concentrations in groundwater resources using an artificial neural network: a case study in Khaf
944
Prediction and multi-objective optimization of high-strength concrete parameters via soft computing approaches
945
Prediction and observation of crack tip microstructure in shape memory CuAlNi single crystals
946
Prediction and observation of ring and chain isomers in Sn− i ons
947
Prediction and optimisation of geometrical properties of the refrigerant bed in an AMRR cycle
948
Prediction and optimization of a ceramic casting process using a hierarchical hybrid system of neural networks and fuzzy logic
949
Prediction and Optimization of Fish Biodiesel Characteristics Using Permittivity Properties
950
Prediction and optimization of friction welding parameters for super duplex stainless steel (UNS S32760) joints
951
Prediction and optimization of load and torque in ring rolling process through development of artificial neural network and evolutionary algorithms
952
Prediction and optimization of machining parameters for minimizing power consumption and surface roughness in machining
953
Prediction and Optimization of Mechanical Properties of St52 in Gas Metal Arc Weld Using Response Surface Methodology and ANOVA
954
Prediction and optimization of pulsed current tungsten inert gas welding parameters to attain maximum tensile strength in AZ61A magnesium alloy
955
Prediction and optimization of runoff via ANFIS and GA
956
Prediction and Optimization of the Effects of Combining Ultrasonic Waves and Solvent on the Viscosity of Residue Fuel Oil by ANN and ANFIS
957
Prediction and prevention of chemical-related injury: towards an effective risk assessment protocol
958
Prediction and prevention of material cracking in the case of micro or milli drawn parts made from aluminium foils
959
Prediction and prevention of material cracking in the case of micro or milli drawn parts made from aluminium foils
960
Prediction and prevention of pregnancy-induced hypertensive disorders
961
Prediction and reduction of internal blade-passing frequency noise of the centrifugal fan in a refrigerator
962
Prediction and reduction of process times for the PC-based computer numerically Tcontrolled drilling machine
963
Prediction and severity of hospital-acquired acute kidney injury in patients with and without hypertension and type 2 diabetes
964
Prediction and simulation of two-phase pressure drop in return bends
965
Prediction and suppression of two-point 1st order multipacting
966
Prediction and suppression of two-point 1st order multipacting
967
Prediction and thermodynamic analysis of In-activities of In–Ni alloys
968
Prediction and three-dimensional Monte-Carlo simulation for tensile properties of unidirectional hybrid composites
969
Prediction and tracking of long-range-dependent sequences
970
Prediction and tracking of moving objects in image sequences
971
Prediction and validation of cloudless shortwave solar spectra incident on horizontal, tilted, or tracking surfaces
972
Prediction and validation of the energy dissipation of a friction damper
973
PREDICTION AND VALIDATION ON THE SONIC BOOM BY A HIGH-SPEED TRAIN ENTERING A TUNNEL
974
Prediction and verification of temperature evolution as a function of ram speed during the extrusion of AZ31 alloy into a rectangular section
975
Prediction and verification strength in APC-2 composite laminates at elevated temperature
976
Prediction Axillary Lymph Node Involvement Status on Breast Cancer Data
977
Prediction bands for the EDF of a future sample
978
Prediction based on data derived from expert elicitation may hinder understanding of extinction risk – Reply to Tingley et al.
979
Prediction Based on Type-II Censored Coherent System Lifetime Data under a Proportional Reversed Hazard Rate Model
980
Prediction borderline personality disorders relay on negative life events
981
Prediction borderline personality disorders relay on negative life events
982
Prediction borderline personality disorders relay on negative life events
983
Prediction boundaries and forecasting of non linear hydrologic stage data
984
Prediction breakthrough time of water coning in the fractured reservoirs by implementing low parameter support vector machine approach
985
Prediction by Humble of correction of thalassaemia and haemoglobin-E disease
986
Prediction by maternal risk factors of neonatal intensive care admissions: Evaluation of >59,000 women in national managed care programs
987
Prediction by neural networks of filtered volume and outlet parameters in micro-irrigation sand filters using effluents
988
Prediction by quantitative histology of pathological stage in prostate cancer
989
Prediction by the ASOG method of liquid–liquid equilibrium for binary and ternary systems containing 1-alkyl-3-methylimidazolium hexafluorophosphate
990
Prediction calculations and experiments for the first criticality of the 10 MW High Temperature Gas-cooled Reactor-Test Module Original Research Article
991
Prediction Capabilities of a One-dimensional Wall-flow ‎Particulate Filter Model
992
Prediction capabilities of classical and shear deformable beam models excited by a moving mass
993
Prediction Charpy impact energy of bcc and fcc functionally graded steels in crack divider configuration by strain gradient plasticity theory
994
Prediction compressive strength of lightweight geopolymers by ANFIS
995
Prediction condensed models adapted to the nonlinear structures in time domain
996
Prediction correlation of vapor pressure for methyl jasmonate Original Research Article
997
Prediction couple's marital satisfaction based on emotion regulation
998
Prédiction de la toxicité tardive radio-induite : corrélation entre le taux dʹapoptose radio-induite et le nombre dʹaltérations génétiques de type SNP (single nucleotide polymorphism)
999
Prédiction de la toxicité tardive radio-induite : corrélation entre le taux dʹapoptose radio-induite et le nombre dʹaltérations génétiques de type SNP (single nucleotide polymorphism)
1000
Prédiction du site de récidive après radiothérapie des épendymomes de l’enfant par l’utilisation de l’IRM plurimodalités