Mendelian randomization analyses support causal relationships between HPV infection and colorectal cancer by Bo Pei, Peijun Liu, Shixuan Peng, Fuxiang Zhou

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Recent Applications of Theoretical Calculations and Artificial Intelligence in Solid-State Electrolyte Research: A Review by Mingwei Wu, Zheng Wei, Yan Zhao, Qiu He

“…Second, innovative applications of AI methods, including machine learning (ML) and deep learning (DL), in predicting material properties, analyzing structural features, and simulating interfacial behaviors are elaborated. …”
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Developments in MRI radiomics research for vascular cognitive impairment by Xuezhi Chen, Xianting Luo, Liang Chen, Hao Liu, Xiaoping Yin, Zhiying Chen

“…The primary clinical manifestations include behavioral abnormalities and diminished learning and memory cognitive functions. …”
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Cities as Organisms: Allometric Scaling of Urban Road Networks by Horacio Samaniego, Melanie E. Moses

“…Driving distances do depend on the size of the city, although not as much as is predicted by a completely centralized model. This intermediate pattern between centralized and decentralized extremes may reflect a mixture of different travel behaviors. …”
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Integrating plasticity into precision psychiatry by Igor Branchi

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Suicide risk remission in collaborative care: a large-scale observational study by Carol Hardy, Virna Little, Brandn Green

“…The Collaborative Care Model (CoCM) offers a structured approach to behavioral health treatment in primary care, but research on its effectiveness for suicide risk management is limited. …”
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On the Application of Probabilistic Route Choice Models to Urban Rail Transit Networks Containing Small-Scale OD Trip Data by Wei Zhu, Changyue Xu, Amr M. Wahaballa, Wenbo Fan, Seham Hemdan

“…This study reveals the inherent limitation of PRC models in estimating the travel behaviors of passengers in a small-scale population. …”
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Range-frequency models of within-subjects contextual effects: Salary satisfaction by Michael H. Birnbaum, Julien Rouvere

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Bee Systematics and Conservation by Eduardo A. B. Almeida, Margarita M. López-Uribe, Laurence Packer, Diego S. Porto, Gabriela P. Camacho

“… Diversity can be examined and interpreted from various perspectives, including species richness, genetic and phenotypic differences, variation in behaviors and natural history, and phylogenetic history. …”
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Wanting and liking of Facebook functions and their correlation to problematic use by Dorottya Lakatos, Balázs Kovács, István Czigler, Zsolt Demetrovics, Domonkos File

“…A possible frame of reference to investigate this question is the Incentive Sensitizations Theory (IST), as it provides a solid empirical background to understand the motivational and hedonic aspects of problematic behaviors. A central assumption of IST that addiction-related cues play a pivotal role in addictive behaviors has remained relatively understudied in the context of social media use. …”
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An Efficient Random Forest Classifier for Detecting Malicious Docker Images in Docker Hub Repository by Maram Aldiabat, Qussai M. Yaseen, Qusai Abu Ein

“…Therefore, developing a machine learning classifier that effectively predicts and classifies whether a Docker image contains injected malicious behaviors is crucial as a proactive approach. …”
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Emerging trends in the evolution of neuropsychology and artificial intelligence: A comprehensive analysis by Haihua Ying, Andri Pranolo, Zalik Nuryana, Andini Isti Syafitri

“…Neuropsychological evaluations are valuable in neurosurgery because they comprehensively evaluate cognitive, affective, and behavioral functioning to optimize patient outcomes. …”
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Deep learning from three-dimensional lithium-ion battery multiphysics model part I: Data development by Yiheng Pang, Yun Wang, Zhiqiang Niu

“…To mitigate this issue, this study presents one of the first studies for data development through both experimental studies and three-dimensional (3-D) multi-physics modeling to underpin a deep learning framework with in-depth examination for battery performance and thermal risk prediction. Specifically, Part I focused on the development of the battery model which was thoroughly validated and analyzed to guarantee the model accuracy by two steps: firstly, we validated the multi-physics model against two commercial Lithium-ion batteries, i.e., Panasonic NCR18650B and 18650BD; Then, the coupling between thermal and electrochemical battery behaviors were analyzed deeply to demonstrate insights obtained from the model, such as voltage evolution and maximum local temperature (hot spot). …”
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Experimental constraints on transient glacier slip with ice-bed separation by Nathan T. Stevens, Dougal D. Hansen, Lucas K. Zoet, Peter E. Sobol, Neal E. Lord

“…Despite these divergences, average system responses converged toward model predictions, suggesting that analytic theory remains applicable for modeling longer-term behaviors of transiently forced slip with ice-bed separation.…”
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An Event Log Repair Method Based on Masked Transformer Model by Ping Wu, Xianwen Fang, Huan Fang, Ziyou Gong, Daoyu Kan

“…Subsequently, a Masked Language Model is trained on preprocessed datasets to predict masked activities by leveraging contextual information within traces, thereby capturing behavioral information of activities in the event log. …”
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Analysis of Women’s Knowledge, Health Risk Perceptions, Beliefs and Avoidance Behaviour in Relation to Endocrine-Disrupting Chemicals in Personal Care and Household Products by Adrianna Trifunovski, Nooshin Khobzi Rotondi, Jennifer Abbass-Dick, Caroline Barakat

“…Greater knowledge of lead, parabens, bisphenol A, and phthalates significantly predicted chemical avoidance in PCHPs. Higher risk perceptions of parabens and phthalates also predicted greater avoidance. …”
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The Impact of Maternal Obesity and Excessive Gestational Weight Gain on Maternal and Infant Outcomes in Maine: Analysis of Pregnancy Risk Assessment Monitoring System Results from... by Nancy Baugh, David E. Harris, AbouEl-Makarim Aboueissa, Cheryl Sarton, Erika Lichter

“…Excessive GWG predicted a longer infant hospital stay and excessive birth weight. …”
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The role of cognitive and brain reserve in the clinical presentation and progression of amyotrophic lateral sclerosis by Anna G. M. Temp, Gaël Nils Tarakdjian, Elisabeth Kasper, Judith Machts, Jörn Kaufmann, Stefan Vielhaber, Johannes Prudlo, James H. Cole, Martin Dyrba, Stefan Teipel, Andreas Hermann

“…This study compares the effects of cognitive reserve and the predicted brain age difference (PAD) on the risk of being diagnosed with ALS, the risk of having cognitive or behavioral impairment, or even fronto-temporal dementia, and on disease duration. …”
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ТЕMPERATURE AND STRAIN RATE DEPENDENT STRESS-STRAIN RELATIONSHIP FOR ADVANCED HIGH STRENGTH DUAL-PHASE STEEL DP780 by SONG Hui, LI Di, WANG KaiDi, LIU XingFeng, JIANG Ning, LU ZiPeng, CUI HongJian

“…The results show that the predicted values of Grosman model are in good agreement with the experimental values, which proves the validity of the proposed model.…”
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Analytical Solutions of Spherical Cavity Expansion Near a Slope due to Pile Installation by Jingpei Li, Yaguo Zhang, Haibing Chen, Fayun Liang

“…The present solution provides a simplified and realistic theoretical method to predict the soil behaviors around the spherical cavity near the sloping ground. …”
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