DMR: disentangled and denoised learning for multi-behavior recommendation by Yijia Zhang, Wanyu Chen, Fei Cai, Zhenkun Shi, Feng Qi

“…First, the irrelevant auxiliary behaviors that do not align with the target behavior, can negatively impact the prediction accuracy for user preference in the target behavior. …”
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Problems of criminal legal forecasting of individual criminal behavior by Mikhail P. Kleymenov

“…The original criminal-legal aspect of predicting individual criminal behavior consists primarily in determining the probability of a potential criminal being brought to criminal responsibility for a possible offense and being punished. …”
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Adsorption-Deposition Behavior of Typical Minerals on Antimony in Soil by Guibin GUO, Xiaoya YUAN, Lijin HUANG, Qin SHUAI, Shenghong HU, Lei OUYANG

“…Exploring the adsorption deposition behavior of antimony on typical soil minerals is important for predicting the environmental fate of antimony and preventing its pollution. …”
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REM sleep behavior disorder: update on diagnosis and management by Manoel Alves Sobreira-Neto, Fernando Gustavo Stelzer, Lívia Leite Góes Gitaí, Rosana Cardoso Alves, Alan Luiz Eckeli, Carlos H. Schenck

“…REM sleep behavior disorder (RBD) is characterized by a loss of atonia of skeletal muscles during REM sleep, associated with acting out behaviors during dreams. …”
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Shear strength and behavior of eco-friendly RC corbels by Kadhim Z. Naser, Abdulamir Atalla Almayah, Abdulnasser M. Abbas

“…The use of efficient and environmentally friendly materials is a priority in the construction industry. In this study, the behavior of reinforced concrete corbels made of recycled concrete aggregate (RCA) was investigated. …”
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Perceived everyday discrimination, socioeconomic status, and mammography behavior by Jessica Vinegar, Marissa Ericson, Lilia Espinoza, Lenna Dawkins-Moultin, Dede K. Teteh-Brooks

“…In an initial logistic regression model, race/ethnicity, income, and PED significantly predicted mammography behavior (χ2 (8) = 45.464, p < .01). …”
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Preventive Behaviors Related to Women\'s Genital Tract Infections by Azizeh Farshbaf Khalili, Sedigheh Rezaie-chamani, Simin Seidi, Somayeh Ziyadi

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Bizarre behavior during intracarotid sodium amytal testing (Wada test): are they predictable?... by Luciano de Paola, Maria Joana Mäder, Francisco M.B. Germiniani, Patrícia Coral, Jorge A.A. Zavala, Djon J. Watzo, Jorge Kanegusuku, Carlos E.S. Silvado, Lineu C. Werneck

“…Apart of the obvious technical difficulties (patients required physical restraining) those behaviors potentially promote testing delay or abortion and more importantly, inaccurate data. …”
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Predictive and Prognostic Value of Peritoneal Washing in Colorectal Cancer: A Literature Review by Sergey Iliev, Anislav Gabarski, Paulina Vladova, Pencho Tonchev, Ivailo Presolski, Kiril Nedyalkov

“…Precise staging of the tumor, adequate interpretation of predictive and prognostic factors is essential in the choice of therapeutic behavior. …”
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Discharge Dynamics Responses in Forced Granular Flow of Rice Particle Beds by Dan Zhao, Zhuozhuang Li, Xianle Li, Zhiqin Zhang, Dong Liu

Subjects: “…discharge behavior…”
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Early Predictive Value of the Glucose‐to‐Lymphocyte Ratio for the Occurrence of Stroke‐Associated Pneumonia by Fuqiang Zhou, Liju Ma, Min Li, Haijiang Li, Heying Yang, Ye Xu, Kuankuan Dang, Fengchen Gao, Haimei Sun

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On the impact of hidden modeling assumptions on living systems- predictive dynamics by Ivan Mura

“…REVISTA DE INVESTIGACIÓN DE LA FACULTAD DE INGENIERÍA This paper aims at showing the predictive modeling of living systems, particularly some commonly structured modeling assumptions which simplify the behavior of living systems. …”
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Comparison of Breastfeeding Self-efficacy in Mothers with Different Ages by Elham Eslami, Sedigheh Pakseresht, Maryam Niknami, Zahra Atrkar Roshan

“…Abstract Introduction: Breastfeeding is one of the most important health-promoting behaviors and one of the main goals of the World Health Organization. …”
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Harnessing AI for Leadership Development: Predictive Model for Leadership Assessment by Abdullahi Abdu Ibrahim, Adel Alomairi

“…The objective was to create a predictive model that would allow classifying leadership into three groups – Low, Medium, and High – based on behavior scores. …”
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Data Enabled Predictive Control for Water Distribution Systems Optimization by Gal Perelman, Avi Ostfeld

“…This study explores the application of the Data‐Enabled Predictive Control (DeePC) algorithm to optimize the operation of water distribution systems (WDS). …”
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Triadic balance and network evolution in predictive models of signed networks by Hsuan-Wei Lee, Pei-Chin Lu, Hsiang-Chuan Sha, Hsini Huang

“…Our method significantly improves out-of-sample prediction accuracy for network ties, with additional predictive power from incorporating negative network information. …”
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Dynamics of link formation in networks structured on the basis of predictive terms by S. O. Kramarov, O. R. Popov, I. E. Dzhariev, E. A. Petrov

“…In order to model and analyze the information conductivity of complex networks having an irregular structure, it is possible to use percolation theory methods known in solid-state physics to quantify how close the given network is to a percolation transition, and thus to form a prediction model. Thus, the object of the study comprises international information networks structured on the basis of dictionaries of model predictive terms thematically related to cutting-edge information technologies.Methods. …”
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Applying the Multi Theory Model (MTM) of health behavior change for explaining fruits and vegetables consumption behavior among African American women in Mississippi, USA by LaVonne Brown, Vinayak K. Nahar, Manoj Sharma

“…Modeling utilizing multiple regression showed that the MTM constructs of participatory dialogue (P = 0.009), behavioral confidence (P = 0.0001), and changes in the physical environment (P = 0.0001) accounted for 50.8% of the predictability in the intention to initiate fruit and vegetable consumption behavior. …”

Walkability indices and travel behavior: Insights from Montréal, Canada by Hisham Negm, Ahmed El-Geneidy

“…Walk Score® had the highest predictive power on walking behavior for healthcare purposes. …”
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Development and Validation of Predictive Models for Non-Adherence to Antihypertensive Medication by Cristian Daniel Marineci, Andrei Valeanu, Cornel Chiriță, Simona Negreș, Claudiu Stoicescu, Valentin Chioncel

“…Five machine learning models were developed to predict non-adherence, defined by ARMS quartile-based thresholds. …”
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