Study on the improvement of cognitive deficits in APP/PS1 mice by danggui shaoyao san and its disassembled prescriptions through modulation of the gut microbiota by Xingduo Liu, Chaoqun Sun, Yuqiong Dai, Feifei Duan, Tianzhen He, Menglu Zhen, Enxi Liang, Shuting Zhang, Yun Xia, Nianchun Hu, Ruoting Zhan, Ruoting Zhan, Dong Deng, Sijun Liu

“…After 60 days of treatment, the mice underwent behavioral testing in the open field, novel object recognition, and water maze. …”
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Smartphone screen time and suicide risk in daily life captured through high-resolution screenshot data by Ross Jacobucci, Miguel Blacutt, Nilàm Ram, Brooke A. Ammerman

“…Within-person increases in screen time were linked to elevated suicide risk in the following three hours, while screen time more than three hours prior predicted reduced planning and desire. Suicide risk also predicted subsequent screen time, and screen time was associated with greater EMA response rates. …”
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An Accurate Phase Interface Locating Algorithm for Pore-Scale Two-Phase Interfacial Flows by Qiliang Mei, Tianjiang Wu, Chao Li, Xiaoying Zhou

“…Direct numerical simulation of pore-scale flow in porous media at pore scale is a fast developing technique to investigate pore-scale flow behaviors. However, with the decrease of the spatial scale, the interfacial tension of the two-phase interface will have an important impact on the two-phase flow processes. …”
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Statistical modeling of Agatston score in multi-ethnic study of atherosclerosis (MESA). by Shuangge Ma, Anna Liu, Jeffrey Carr, Wendy Post, Richard Kronmal

“…This study provides a statistical basis for describing the behaviors of CAC and insights into its biological mechanisms.…”
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Modeling Suicidality with Multimodal Impulsivity Characterization in Participants with Mental Health Disorder by Nidal Moukaddam, Bishal Lamichhane, Ramiro Salas, Wayne Goodman, Ashutosh Sabharwal

“…To model suicidality with impulsivity quantification, we obtained questionnaires, behavioral tests, heart rate variability (HRV), and resting state functional magnetic resonance imaging measurements from 34 participants with mood disorders. …”
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Cortical hierarchies perform Bayesian causal inference in multisensory perception. by Tim Rohe, Uta Noppeney

“…Thus, perception inherently relies on solving the "causal inference problem." Behaviorally, humans solve this problem optimally as predicted by Bayesian Causal Inference; yet, the underlying neural mechanisms are unexplored. …”
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The Stochastic Evolution of Financial Asset Prices by Ioannis Paraskevopoulos, Alvaro Santos

“…Our out-of-sample predictions, covering the period from 17 February 2019 to 1 February 2024, demonstrate the model’s exceptional forecasting capability, yielding correct predictions with between 73% and 92% accuracy, significantly outperforming naïve and moving average models, which only achieved 47% to 54% accuracy.…”
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An algorithm for indoor SARS-CoV-2 transmission by Daniel Maxin, Spencer Gannon

“…We incorporate also restricted opening hours as a mitigation measure and one possible behavioral change in response to this measure. It is shown via several examples how this algorithmic modeling approach can be used to run various scenarios in order to predict the efficacy of the intervention.…”
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How to detonate a semiotic bomb: the dynamics of Lotmanian explosion in the semiosphere by Rodríguez Higuera Claudio Julio

“…The concept of semiotic bomb serves as both a way to examine what is necessary for explosion to happen and as a theoretical exercise in attempting to predict the unpredictable in culture. We contend that cultural change must be understood in terms of sign configurations and information transmission through Charles Morris’s behavioral semiotics, and that this basis works as a complement of Juri Lotman’s cultural dynamics by grounding textual information on behavioral change and resignification. …”
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A Computational Cognitive Biomarker for Early-Stage Huntington's Disease. by Thomas V Wiecki, Chrystalina A Antoniades, Alexander Stevenson, Christopher Kennard, Beth Borowsky, Gail Owen, Blair Leavitt, Raymund Roos, Alexandra Durr, Sarah J Tabrizi, Michael J Frank

“…While symptomatic HD subjects differed substantially from controls in behavioral measures [reaction time (RT) and error rates], there was no such clear behavioral differences in pre-HD. …”
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Prayer Intensity, Technological Mediation, and Civic Engagement: Comparing Catholic, Lutheran, and Orthodox Contexts by Luke J. Buhagiar, Matthew Pulis, Ljiljana Ćumura

“…In this model, only non-technologically mediated prayer predicted civic engagement in Malta and Denmark, and no sub-index predicted civic engagement in Serbia. …”
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Agent-based modeling of the central amygdala and pain using cell-type specific physiological parameters. by Rachael Miller Neilan, Gabrielle Majetic, Mauricio Gil-Silva, Anisha P Adke, Yarimar Carrasquillo, Benedict J Kolber

“…We compared model predictions of pain to data from our earlier behavioral studies and found areas of similarity as well as distinctions between the data sets. …”
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Predictors of successful initiation of buprenorphine in enriched enrollment randomized withdrawal clinical trials in both opioid experienced and naïve participants: a participant-l... by Andrew Conroy, Warren B. Bilker, Christopher J. Miller, Charles E. Argoff, Russell Bell, Jennifer Haythornthwaite, Jennifer S. Gewandter, Ian Gilron, Katherine N. Theken, John T. Farrar

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High-throughput DNA melt measurements enable improved models of DNA folding thermodynamics by Yuxi Ke, Eesha Sharma, Hannah K. Wayment-Steele, Winston R. Becker, Anthony Ho, Emil Marklund, William J. Greenleaf

“…All models show improved accuracy in predicting DNA folding thermodynamics, enabling more effective in silico design of qPCR primers, oligo hybridization probes, and DNA origami.…”
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Driving Risk Detection Model of Deceleration Zone in Expressway Based on Generalized Regression Neural Network by Weiwei Qi, Zhexuan Wang, Ruru Tang, Linhong Wang

“…An interesting finding is that the number of input variables is positively correlated with the prediction accuracy rate. By applying the method, the dangerous state of vehicles could be released through mobile internet as well as drivers' start of risky behaviors, such as fatigue driving, drunk driving, speeding driving, and distracted driving. …”
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Examining Weight Suppression, Leptin Levels, Glucagon-Like Peptide 1 Response, and Reward-Related Constructs in Severity and Maintenance of Bulimic Syndromes: Protocol and Sample C... by Pamela K Keel, Lindsay P Bodell, Sarrah I Ali, Austin Starkey, Jenna Trotta, J Woody Luxama, Chloé Halfhide, Naomi G Hill, Jonathan Appelbaum, Diana L Williams

“…ObjectiveOur funded project aimed to test concurrent associations among WS, physiological factors (leptin concentrations and postprandial glucagon-like peptide 1 [GLP-1] response), behavioral indicators of RVE (breakpoint on progressive ratio tasks) and reward satiation (ad-lib test meal intake), self-report of these core constructs, and binge-eating severity in BN-S (aim 1); test prospective associations to determine whether WS predicts BN-S maintenance in longitudinal models and whether posited mediators also predict BN-S maintenance (aim 2); and determine whether associations between WS and BN-S severity and maintenance are mediated by alterations in leptin levels, GLP-1 response, RVE, and reward satiation (aim 3). …”
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Joint Planning of Renewable Energy and Electric Vehicle Charging Stations Based on a Carbon Pricing Optimization Mechanism by Shanli Wang, Bing Fang, Jiayi Zhang, Zewei Chen, Mingzhe Wen, Huanxiu Xiao, Mengyao Jiang

“…Subsequently, a charging station model is constructed based on the behavioral characteristics of electric vehicle users. …”
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Keypoints-Based Multi-Cue Feature Fusion Network (MF-Net) for Action Recognition of ADHD Children in TOVA Assessment by Wanyu Tang, Chao Shi, Yuanyuan Li, Zhonglan Tang, Gang Yang, Jing Zhang, Ling He

“…Attention deficit hyperactivity disorder (ADHD) is a prevalent neurodevelopmental disorder among children and adolescents. Behavioral detection and analysis play a crucial role in ADHD diagnosis and assessment by objectively quantifying hyperactivity and impulsivity symptoms. …”
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Community participation in community-based surveillance of infectious diseases: A structural equation modeling approach based on the theory of reasoned action by Ahmed Azeez Hasan, Anis Kausar Ghazali, Norsa’adah Bachok, Najib Majdi Yacoob, Suhaily Mohd Hairon, Nur Amira M. Nadir, Fatimah Muhd Shukri

“…Background and Aim: Community-based surveillance (CBS) is a critical mechanism for early detection of infectious diseases. Understanding the behavioral drivers of CBS participation is essential to strengthening community engagement. …”
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Design and Prototyping of a Robotic Structure for Poultry Farming by Glauber da Rocha Balthazar, Robson Mateus Freitas Silveira, Iran José Oliveira da Silva

“…The identification and prediction of losses, along with environmental and behavioral analyses and animal welfare monitoring, are key drivers for the use of technologies in poultry farming which help characterize the productive environment. …”
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