Effects of Contact Angle on the Hysteresis Effect of Soil-Water Characteristic Curves during Dry-Wet Cycles by Gaoliang Tao, Ziyue Li, Lisheng Liu, Yangyang Chen, Kai Gu

“…By combining this feature and based on the drying curve, the soil volume and contact angle changes during the drying and wetting processes are employed to predict the hysteretic behaviors of SWCCs. To verify the validity of the prediction method, the predicted curves of the samples with different initial dry densities are compared with the measured curves. …”
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Egg Freshness Indexes Correlations with Ovomucin Concentration during Storage by Yajun Jiang, Dandan Fu, Ming Ma

“…We established an equivalent egg age prediction model using ovomucin concentration as the independent variable. …”
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Evaluation of Roundabout Safety Performance through Surrogate Safety Measures from Microsimulation by Orazio Giuffrè, Anna Granà, Maria Luisa Tumminello, Tullio Giuffrè, Salvatore Trubia, Antonino Sferlazza, Marko Rencelj

“…Based on calibration of the microsimulation models, a crash prediction model from simulated peak hour conflicts for a sample of Slovenian roundabouts was developed. …”
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THE AMERICAN COLLEGE OF SURGEONS-NATIONAL SURGICAL QUALITY IMPROVEMENT PROGRAM CALCULATOR AND SURGICAL APGAR AS PREDICTORS OF POST-CHOLECYSTECTOMY COMPLICATIONS by Diana Tejeda-Herrera, Jose Caballero-Alvarado, Carlos Zavaleta-Corvera

“…AIMS: The aim of this study was to determine the effectiveness of two prediction tools, the American College of Surgeons-National Surgical Quality Improvement Program (ACS-NSQIP) calculator and the surgical Apgar, in predicting post-cholecystectomy complications. …”
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Active Antialopecia Chemical Identification of Merremia peltata Leaves and Computational Study toward Androgen Receptor Using Molecular Docking and Molecular Dynamic Simulation by Syawal Abdurrahman, Ruslin Ruslin, Aliya N. Hasanah, Resmi Mustarichie, Mus Ifaya

“…An in silico study was then carried out using minoxidil as a comparison ligand; 17 compounds derived from M. peltata leaves were identified as antialopecia compounds through prediction of molecular interactions and molecular dynamics simulation and prediction of absorption, distribution, metabolism, excretion, and toxicology (ADME-Tox). …”
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Extrinsic mortality and senescence: a guide for the perplexed by de Vries, Charlotte, Galipaud, Matthias, Kokko, Hanna

“…Here we provide heuristics as well as simple models that outline when the Williams prediction holds, why there is a ‘null model’ where extrinsic mortality does not change the evolution of senescence at all, and why it is also possible to expect the opposite of William’s prediction, where increased extrinsic mortality favours slower senescence. …”
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Research on Fire Detection of Cotton Picker Based on Improved Algorithm by Zhai Shi, Fangwei Wu, Changjie Han, Dongdong Song

“…The improved fusion algorithm is used as a learning algorithm to optimize the BP neural network, and the optimized network is used to process and predict the data collected from temperature and gas sensors, which effectively improves the accuracy of fire prediction. …”
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Personalized Federated Learning for Heterogeneous Residential Load Forecasting by Xiaodong Qu, Chengcheng Guan, Gang Xie, Zhiyi Tian, Keshav Sood, Chaoli Sun, Lei Cui

“…Deep learning (DL) model has replaced other classical models as the most popular prediction models. However, the deep prediction model requires users to provide a large amount of private electricity consumption data, which has potential privacy risks. …”
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Effects of Geometry of Plenum Chamber on Losses in the Bleed System of an Axial Compressor by Yuancheng Shi, Qingguo Kong, Wei Jia

“…A loss model for each part of the bleed system is established via theoretical analysis, and then, a model of the overall bleed system is established by combining these submodels. The predictions of the theoretical loss model agree well with the CFD results: the maximum prediction error for the coefficient of the stagnation pressure loss in the bleed system is −1.38%, and the average prediction error is −0.8%. …”
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A Damaged Constitutive Model for Rock under Dynamic and High Stress State by Yan-Long Li, Zong-Yuan Ma

“…A damaged elastoplastic model (DEPM) is established for the investigation and prediction of static or dynamic mechanical behavior of rock material. …”
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Computed Energetics of Nucleotides in Spatial Ribozyme Structures: An Accurate Identification of Functional Regions from Structure by Ivan Y. Torshin

“…Distinction between the concepts of “relative stability” and “mutational stability” is suggested. As results of prediction for several models of ribozymes appear to be in agreement with the published data on the potential active site regions, the method can potentially be used for prediction of functional nucleotides from nucleic sequence.…”
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Computational Methods to Work as First-Pass Filter in Deleterious SNP Analysis of Alkaptonuria by R. Magesh, C. George Priya Doss

“…In this context, we surveyed and compared variation databases along with in silico prediction programs to assess the effects of deleterious functional variants on protein functions. …”
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Self-Presentation and Adolescent Altruistic Behaviors in Social Networks by Yaling Zhu, Yue Shen, Qiang Zhao

“…The results show the following: (1) Self-presentation in social networks can positively predict adolescent network altruistic behaviors. The positive prediction effect of network sharing is the largest, and the positive prediction effect of network support is the least. (2) Social ability cognition plays an intermediary role between self-presentation and adolescent network altruistic behaviors. (3) The moderating effect of privacy awareness is not significant.…”
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Analysis of the Tunneling Blast Safety Criterion Based on Longitudinal Shocks by Xiao Wang, Wen-bo Zhao, Hou-you Zhou, Dian-shu Liu

“…Finally, based on the simulation results, regression prediction function of the velocity curve and effective tensile stress curve under different safety criteria are established, achieving accurate prediction of the damage degree of the host rock and liner line under different engineering requirements.…”
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Chemostats and epidemics: Competition for nutrients/hosts by Hal L. Smith, Horst R. Thieme

“…As winner, chemostat models predict the specieswith the lowest break-even concentration, while epidemicmodels predict the strain with the largest basic reproduction number.We show that these predictions amount to the same if the per capitafunctional responses of consumer species to the nutrient concentration or ofinfective individuals to the density of susceptibles are proportional to eachother but that they are different if the functional responses are nonproportional.In the second case, the correct prediction is given by the break-even concentrations.In the case of nonproportional functional responses, we add a class for which the prediction does not only rely on local stability and instability of one-species (strain) equilibriabut on the global outcome of the competition. …”
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Application of Neural Networks in Financial Time Series Forecasting Models by Xinhui Li

“…Therefore, this paper integrates the support vector machine with the established model by establishing a convolutional neural network model and applies the prediction model to the prediction of financial time series data. …”
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Neural Network Assisted Inverse Dynamic Guidance for Terminally Constrained Entry Flight by Hao Zhou, Tawfiqur Rahman, Wanchun Chen

“…In order to ensure terminal velocity constraint, a prediction of the terminal velocity is required, based on which, the approximated Bézier curve is adjusted. …”
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The Enigma of the Tinnitus-Free Dream State in a Bayesian World by Dirk De Ridder, Kathleen Joos, Sven Vanneste

“…This can be most easily explained by a predictive Bayesian brain model. That is, during the awake state the brain constantly makes predictions about the environment. …”
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Comparison of Quantitative Structure-Activity Relationship Model Performances on Carboquinone Derivatives by Sorana D. Bolboaca, Lorentz Jäntschi

“…s information criteria (three parameters), Schwarz (or Bayesian) information criterion, Amemiya prediction criterion, Hannan-Quinn criterion, Kubinyi function, Steiger's Z test, and Akaike's weights. …”
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A Novel Fractional Hausdorff Discrete Grey Model for Forecasting the Renewable Energy Consumption by Yuzhen Chen, Suzhen Li, Shuangbing Guo

“…Subsequently, through two empirical analyses, the prediction accuracy of the FHDGM (1,1) model is proven to be higher than that of other models. …”
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