Predictors of depression among Chinese college students: a machine learning approach by Lin Luo, Junfeng Yuan, Chenghan Wu, Yanling Wang, Rui Zhu, Huilin Xu, Luqin Zhang, Zhongge Zhang

“…Gender-stratified analysis suggested different patterns: physical fitness indicators showed stronger associations with depression risk among male students, while BMI was more strongly associated with depression risk among female students. …”
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Psychosocial and cognitive risk factors for orthorexia nervosa: an integrative review of recent literature by Vitória Morelli Guerrazzi, Isadora Paiva Abbondanza, Leticia Bragalia Passarella, Emily Godoi Pereira, Thiago Bonafé, Maíra Pieri Ribeiro

“…Digital content that promotes restrictive diets and fitness practices has contributed significantly to the dissemination of rigid and potentially harmful eating patterns, especially among adolescents and women. …”
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Particle algorithms for animal movement modelling in receiver arrays by Edward Lavender, Andreas Scheidegger, Carlo Albert, Stanisław W. Biber, Janine Illian, James Thorburn, Sophie Smout, Helen Moor

“…Abstract Particle filters and smoothers are sequential Monte Carlo algorithms used to fit non‐linear, non‐Gaussian state‐space models. …”
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Signatures of Perseveration and Heuristic-Based Directed Exploration in Two-Step Sequential Decision Task Behaviour by Angela Mariele Brands, David Mathar, Jan Peters

“…In two independent data sets spanning two different variants of the task, an extended hybrid RL model with a higher-order perseveration and heuristic-based exploration mechanism provided the best fit. While a simpler model with complex perseveration only, was equally well equipped to describe the data, we found a robust positive effect of directed exploration on choice probabilities in stage one of the task. …”
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SCS-Net: Stratified Compressive Sensing Network for Large-Scale Crowd Flow Prediction by Xiaoyong Tan, Kaiqi Chen, Min Deng, Baoju Liu, Zhiyuan Zhao, Youjun Tu, Sheng Wu

“…Most existing models overlook spatial heterogeneity, employing unified parameters to fit diverse crowd flow patterns across different spatial units, which limits their accuracy. …”
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A Data-Driven Approach to Mitigate Evolving Volumetric Attacks in Programmable Networks by Muhammad Saqib, Halima Elbiaze, Roch H. Glitho

“…Existing methods often rely on one-size-fits-all ML models that fail to adapt to evolving attack traffic patterns, leading to a time-consuming and labor-intensive process for updating ML model from the control to the data plane. …”
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What is mixed use? Presenting an interaction method for measuring land use mix by Kevin Manaugh, Tyler Kreider

“…The models presented show the usefulness of the approach by significantly improving the model fit in comparison to a commonly-used land use mix index, while controlling for socio-demographic and built form factors in three large Canadian cities (Vancouver, Toronto, and Montreal). …”
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Exploring the sustainability of virtual care interventions: A scoping review. by Tujuanna Austin, Farah Tahsin, Darren Larsen, Ross Baker, Carolyn Steele Gray

“…The charted data were summarized to gain a descriptive understanding of the data collected and to establish patterns. A conceptualization of virtual care intervention sustainability focused on the concepts of fidelity and adaptability. …”
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From Global to Local: Testing the UNEP Environmental Vulnerability Index in a Coastal Korea Context by SaMin Han

“…Sub-index analyses indicate that ecological and anthropogenic damage factors show the strongest correlation with past disasters among the hazard, resistance, and damage categories. While the model’s explanatory power was modest (R² = 0.017), the regression nonetheless provides meaningful insight into how global indices can reflect local vulnerability patterns. …”
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A 3-Dimensional Multiband Antenna for Vehicular 5G Sub-6 GHz/GNSS/V2X Applications by Ahmad S. Ibrahim, Ahmad M. Yacoub, Daniel N. Aloi

“…The presented antenna is a three-dimensional monopole antenna with two branches to cover the required bands with compact size to fit inside a roof top shark-fin. The long antenna branch covers the lower cellular frequency band from 617 to 960 MHz, while the short branch covers the higher frequency band from 1559 to 6000 MHz. …”
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The role of selection in shaping diversity of natural M. tuberculosis populations. by Caitlin S Pepperell, Amanda M Casto, Andrew Kitchen, Julie M Granka, Omar E Cornejo, Edward C Holmes, Bruce Birren, James Galagan, Marcus W Feldman

“…Mycobacterium tuberculosis (M.tb), the cause of tuberculosis (TB), is estimated to infect a new host every second. While analyses of genetic data from natural populations of M.tb have emphasized the role of genetic drift in shaping patterns of diversity, the influence of natural selection on this successful pathogen is less well understood. …”
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High-Resolution Spatiotemporal Forecasting with Missing Observations Including an Application to Daily Particulate Matter 2.5 Concentrations in Jakarta Province, Indonesia by I Gede Nyoman Mindra Jaya, Henk Folmer

“…The MSTS model utilizes the similarities between the temporal patterns of the time series of the spatial units to impute the missing data across space. …”
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Novel high throughput 3D ECM remodeling assay identifies MEK as key driver of fibrotic fibroblast activity by Chen-Yi Liao, Jasmijn H.M. Hundscheid, Justin Crawford, Peter ten Dijke, Beatrice Coornaert, Erik H.J. Danen

“…Here, we develop a model that fits this purpose and produces combined quantitative information on drug efficacy and cytotoxicity. …”
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Predictive modeling of the development height of water-conducting fracture zones in mines in Shandong mining area by XU Dongjing, DOU Xuan, LI Ye, XIA Zhicun

“…This study first analyzed the development patterns of hydraulic fracture zones under similar mining conditions. …”
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Prediction Model of Household Carbon Emission in Old Residential Areas in Drought and Cold Regions Based on Gene Expression Programming by Shiao Chen, Yaohui Gao, Zhaonian Dai, Wen Ren

“…Subsequently, a hybrid prediction model was constructed, with its parameters optimized by minimizing the root mean square error (RMSE) as the fitness function. Experimental results demonstrated that the model achieved an R² value of 0.81, reducing RMSE by 77.1% compared to conventional GEP models and by 60.4% compared to BP neural networks, while significantly improving stability. …”
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Seismic Constraints on the Spin Evolution of Slowly Rotating Young Intermediate-mass Stars by Kunal H. Singh, Subrata Kumar Panda, Shravan M. Hanasoge, Siddharth Dhanpal

“…However, their complex and unexplained oscillation patterns restrict analyses to only a small fraction with interpretable pulsations. …”
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Absolute direction in organelle movement by Solveig Plomer, Annika Meyer, Philipp Gebhardt, Theresa Ernst, Enrico Schleiff, Gaby Schneider

“…These results suggest that models with absolute angles can provide important information in the analysis of movement patterns if the existence and frequency of directional changes is of biological importance.…”
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Influence of livelihood functional diversity on agro-food systems in rural communities from different macro regions of Brazil by Rodrigo Jesus Silva, Gabriela Bielefeld Nardoto, Luiz Antônio Martinelli

“…Data from questionnaires were analyzed using multivariate statistical models to appraise similarities among communities and determine the relative influence of socioeconomic factors on agro-food patterns. Specific socioeconomic status and use of natural resource data were analyzed while adjusting for Petchey and Gaston's indicator of functional diversity to evaluate the heterogeneity of local livelihood activities and socioeconomic conditions. …”
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Validation of the Italian version of the Eating-Related Eco-Concern Questionnaire: insights into its relationship with orthorexia nervosa by Lucia Tecuta, Giulia Casu, Elena Tomba

“…Participants scored significantly lower in EREC than in CCWS, indicating greater climate-related concerns in general terms than relating specifically to eating. While EREC was unrelated to EDE-Q scores, weak-to-moderate correlations were observed with EHQ-21 subscale and total scores. …”
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“Women’s experiences of head and neck cancer: an interpretative phenomenological analysis” by Charlotte Vandamme, Sophie Cremades, Sylvie Testelin, Sophie Lelorain

“…Coping strategies varied: some sought social support and aimed to return to work, while others viewed surgery as essential for recovery. …”
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