Delay discounting predicts COVID-19 vaccine booster willingness by Julia G. Halilova, Samuel Fynes‑Clinton, Caitlin M. Terao, Donna Rose Addis, R. Shayna Rosenbaum

“…Abstract Developing ways to predict and encourage vaccine booster uptake are necessary for durable immunity responses. …”
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Optimization of Markov chain modeling in predicting college student retention by Kien Nguyen

“…Future iterations will focus on adding behavioral data and integrating the model with advanced deep learning methods to predict the detailed status of returning students, such as full-time equivalent and class level.…”
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Conspiracism and government distrust predict COVID-19 vaccine refusal by Jan Zilinsky, Yannis Theocharis

“…A large cross-national dataset (N = 19,037) containing a behavioral measure of respondents’ interest in facts (whereby they choose whether to confront their opinions with fact-checks), as well as psychological batteries and information about respondents’ media consumption habits is used to identify the best predictors of refusal of the vaccine against COVID. …”
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Establishment and validation a relapse prediction model for bipolar disorder by Xiaoqian Zhang, Xiaoqian Zhang, Xiaoqian Zhang, Xiaoqian Zhang, Minghao Wu, Daojin Wang, Long Wang, Long Wang, Long Wang, Wen Xie, Wen Xie, Wen Xie

“…An analysis of the receiver operating characteristic curve, calibration curve, and clinical decision curve further revealed that the predictive efficiency and degree of fit between the predicted value of the nomogram and the actual observed value were better.ConclusionThis study found that the number of previous episodes, SDSS score, PSQI score and suicidal behaviors were independent risk factors for relapse of BD, while the number of visits and ECT were protective factor. …”
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Hybrid Deep Learning Models for Predicting Student Academic Performance by Kuburat Oyeranti Adefemi, Murimo Bethel Mutanga, Vikash Jugoo

“…However, accurately predicting student performance is challenging, as it depends on multiple factors, including academic history, behavioral patterns, and health-related metrics. …”
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Toward more realistic career path prediction: evaluation and methods by Elena Senger, Elena Senger, Yuri Campbell, Rob van der Goot, Barbara Plank

“…Additionally, we provide a detailed qualitative analysis of prediction behaviors across industries, career lengths, and transitions. …”
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Prediction of food allergy reaction severity: biomarkers and host factors by David J. Fitzhugh

“…Host factors, including comorbid conditions, age, and behavioral variables, further complicate severity prediction. …”
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Real-time monitoring to predict depressive symptoms: study protocol by Yu-Rim Lee, Jong-Sun Lee

“…By collecting continuous, real-time data on physiological and behavioral patterns, the research uncovers subtle changes in heart rate, activity levels and sleep that correlate with depressive symptoms, providing a deeper understanding of the disorder. …”
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Diversity-Driven Multi-Head Attention for Enhanced Trajectory Prediction by Zhen Zhang

“…This task involves multiple complex challenges: first, trajectory prediction needs to deal with significant pattern diversity, such as multiple interacting behaviors and possible paths in dynamic environments; second, the task requires finding a balance between long-term historical information and local dynamic changes in order to accurately capture the target’s motion trends; furthermore, the generalization ability and robustness of the model are especially critical in the face of unseen data; and finally, trajectory prediction needs to satisfy efficient reasoning requirements in realtime, further increasing the complexity of the task. …”
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Indigenous early warning indicators for improving natural hazard predictions by Masego M. Motsumi, Livhuwani D. Nemakonde

“…The findings reveal that communities rely on various environmental signs, including changes in vegetation, lunar cycles, cloud formations, bird behaviors, and wind speed and direction, to predict and anticipate hazardous events. …”
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Neural correlates of emotional working memory predict depression and anxiety by Leiting Li, Leiting Li, Meirong Sun, Meirong Sun, Meirong Sun, Mengdi Qi, Yiwen Li, Dongwei Li, Dongwei Li

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Prediction premenstrual syndrome (PMS) with anxiety, and depression in female students by Huansheng Li, Mandana Sarokhani, Mohammad Hossein Sahami Gilan, Reza valizade, Kourosh Sayehmiri

“…This research aimed to find predictive factors of PMS using ordinal logistic regression models (OLR). …”
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A comparative study and simple baseline for travel time prediction by Chuang-Chieh Lin, Ming-Chu Ho, Chih-Chieh Hung, Hui-Huang Hsu

“…However, TTP is a complex challenge even for researchers due to the difficulty of capturing numerous and diverse factors such as driver behaviors, rush hours, special events, and traffic incidents, etc. …”
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Crack Propagation Behavior Modeling of Bonding Interface in Composite Materials Based on Cohesive Zone Method by Yulong Zhu, Yafen Zhang, Lu Xiang

“…To elucidate the fracture propagation mechanisms at composite material interfaces, this study implements the cohesive zone method (CZM) to numerically simulate interfacial cracking behavior in two material systems: glued laminated timber (GLT) and reinforced concrete (RC). …”
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Modeling of Chemiresistive Gas Sensors: From Microscopic Reception and Transduction Processes to Macroscopic Sensing Behaviors by Zhiqiao Gao, Menglei Mao, Jiuwu Ma, Jincheng Han, Hengzhen Feng, Wenzhong Lou, Yixin Wang, Teng Ma

“…DFT quantifies atomic-scale charge transfer, and orbital hybridization, MD/AIMD captures dynamic adsorption kinetics, and MC simulates equilibrium/non-equilibrium behaviors based on statistical mechanics principles. …”
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The characteristic of poverty-alleviation behavioral strategies of the rural poor population and their relationship with socio-demographic factors by Yan Li, Jin-wei Zhu, Yong-quan Huo

“…Hierarchical regression analysis reveals that socio-demographic characteristics such as health status, educational level, family size, main occupation, and income sources have predictive power regarding the formation of pragmatic and fatalistic poverty-alleviation strategies.ConclusionAmong the four types of poverty-alleviation behavior strategies identified among rural poor population, fatalistic and pragmatic strategies are critically significant for poverty-alleviation efforts and should receive heightened attention from poverty-alleviation workers. …”
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Predicting brain amyloid load with digital and blood-based biomarkers by Weineng Chen, Yu Liao, Xinchong Shi, Fengjuan Su, Haifan Kong, Yingying Fang, Yifan Zheng, Jiayi Zhou, Ganqiang Liu, Xianbo Zhou, Xiaoli Yao, Curtis B. Ashford, Feng Li, Long Yang, Michael F. Bergeron, J. Wesson Ashford, Xiangsong Zhang, Zhong Pei

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Predicting Mental and Neurological Illnesses Based on Cerebellar Normative Features by Milin Kim, Nitin Sharma, Esten H. Leonardsen, Saige Rutherford, Geir Selbæk, Karin Persson, Nils Eiel Steen, Olav B. Smeland, Torill Ueland, Geneviève Richard, Aikaterina Manoli, Sofie L. Valk, Dag Alnæs, Christian F. Beckman, Andre F. Marquand, Ole A. Andreassen, Lars T. Westlye, Thomas Wolfers, Torgeir Moberget

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Revisiting the model for austenite grain size of M50 steel coupled with the carbide dissolution behavior by Kangdi Xie, Chen Sun, Yanfei Cao, Chengshuai Lei, Guolei Liu, Leitao Wang, Paixian Fu, Hongwei Liu

“…Based on classical theoretical models, it develops a predictive model for the average austenite grain size distribution. …”
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Assessment of concrete-to-concrete shear bond behavior using 3-D direct shear testing by Mohamad Ezzedine El Dandachy, Dalia AlMohamad, Matthieu Briffaut, Abdulkader El-Mir, Joseph J. Assaad, Hilal El-Hassan

“…The influence of the degree of surface roughness on the pure shear behavior of these joints was assessed at a normal stress level of 1 MPa. …”
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