USING OF THE MODELS IN PRACTICE-ORIENTED EDUCATION DURING LEARNING OF PEDIATRIC DENTISTRY by L.F. Kaskova, N.V. Yanko, S.Ch. Novikova, L.F. Chupryna, A.V. Artemyev

“…One Minute Preceptor model, which involves the initiative and mentoring role of the teacher, fits well for beginners, while SNAPPS model, that focused on independent work of students, for strong students. …”
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Spatial behavior of mesocarnivores living in seasonal ecosystems: A case study in arid landscapes in northern-central Chile by Darío Moreira-Arce, Pablo M. Vergara, Alex Oporto, Alberto J. Alaniz, Claudia Hidalgo-Corrotea, Alfredo H. Zúñiga, Alejo Gutiérrez, Sebastián Moreno, Daniela Araya, Simone Ciuti

“…Extreme microclimate conditions can directly shape the habitat use patterns but also indirectly through seasonally modifying plant productivity, while terrain morphology (topography and elevation) acts as a regulator of extreme climate. …”
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Exploring C-peptide loss in type 1 diabetes using growth curve analysis. by Rachel E J Besser, Johnny Ludvigsson, Peter C Hindmarsh, Tim J Cole

“…The aims were to summarise the pattern of CP loss (i.e. growth curve shape) in individual patients in simple terms, and to identify baseline characteristics that predict this pattern in individuals.…”
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Landscape use by prey: Bottom‐up regulation prevails under reduced predation risk by Filipe Rocha, Milcíades Chicomo, Fernanda Lages, Pedro Monterroso

“…We fitted Royle–Nichols co‐abundance models to camera‐trapping data collected between 2017 and 2019 in Bicuar National Park (Angola), to assess spatial association/segregation across predator–prey dyads, while accounting for the effects of water and food availability during dry and wet seasons. …”
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Production capacity prediction of U-shaped horizontal wells for in-situ pyrolysis of tar-rich coal: Experimental and numerical simulation study by Zhen DONG, Yanpeng CHEN, Mengyuan ZHANG, Xinggang WANG, Lixin JIAO, Shuo FENG, Bo REN, Hao CHEN, Junjie XUE, Yufeng ZHAO, Diefang HUANG

“…CH4 and CO2 increase first and then decrease with temperature, the effect of confining pressure on the two sets of coal is different, and the application of confining pressure is more beneficial to coal gas production of Badaowan Formation coal. ③ Tar-rich coal pyrolysis product yield shows an S-shaped variation pattern of “slow increase - rapid increase - tends to stabilize” with increasing temperature, the Boltsmann function can better fit the law of tar-rich coal pyrolysis product yield. …”
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“Simplifying” Digital Complexity? A Socio-Technical Perspective. Editorial Introduction to Issue 33 of CSIMQ by Mikko Rajanen, Aurelio Ravarini

“…A socio-technical perspective sees an organization as a combination of two components – a social and a technical one. The real pattern of behavior in the organization is determined by how well these parts fit each other. …”
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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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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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A framework for modeling county-level COVID-19 transmission by Yida Bao, Iris Huang, Qi Li, Zheng Zhang, Yuan Xing, Dongfang Hou, Jiafeng Ye

“…This integrated sequence of methods provides a comprehensive lens for studying epidemiological phenomena. While certain findings align with established research, other variables reveal unexpected patterns. …”
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Exploring Rehabilitation Patients’ Perspectives on What Matters for the Adoption of Home-Based Rehabilitation Technology: Q-Methodology Study by Karlijn E te Boekhorst, Sanne J Kuipers, Gerard M Ribbers, Jane M Cramm

“…By-person factor analysis identified common patterns in how participants ranked the statements. …”
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Evaluating domestication and ploidy effects on the assembly of the wheat bacterial microbiome. by Heidi M L Wipf, Devin Coleman-Derr

“…While numerous studies implicate the microbiome in host fitness, contributions of host evolution to microbial recruitment remain largely uncharacterized. …”
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Study on spatial variability and profile distribution characteristics of soil salinity by Kriging with an electromagnetic induction by YAO Rong-jiang, YANG Jing-song, JIANG Long

“…Spatial distribution patterns of soil salinity were mainly controlled by structural factors, such as climate, micro-topography, groundwater and so on. …”
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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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Landslide and Collapse Susceptibility Analysis in Wenchuan Earthquake-damaged Area Based on Ensemble Learning Methods by DING Jiawei, WANG Xiekang

“…LightGBM demonstrated higher precision, while XGBoost yielded superior results in the F₁ score. …”
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KRSA: An R package and R Shiny web application for an end-to-end upstream kinase analysis of kinome array data. by Erica A K DePasquale, Khaled Alganem, Eduard Bentea, Nawshaba Nawreen, Jennifer L McGuire, Tushar Tomar, Faris Naji, Riet Hilhorst, Jaroslaw Meller, Robert E McCullumsmith

“…We present Kinome Random Sampling Analyzer (KRSA), an R package and R Shiny web-application for analyzing kinome array data to help users better understand the patterns of functional proteomics in complex biological systems. …”
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Examining spatial variations in the relationship between domestic energy consumption and its driving factors using multiscale geographically weighted regression: a case study in No... by Yuan Feng, Ying Miao, Ed Turner

“…The impacts of dwelling energy efficiency, median household income, percentage of households with 3 or more people, fuel poverty, and central heating with renewable energy, vary across different local areas. Therefore, while there are identifiable relationships between these factors and domestic energy consumption, they differ by locality, and aggregated level analysis may fail to accurately to capture these patterns. …”
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The role of microbiomes in animal invasions: a scoping review by Claudia Romeo, Elsa Brenner, Lucas A. Wauters, Antton Alberdi

“…We conducted a scoping review of studies focusing on microbiomes and animal invasions to explore the extent and nature of research efforts on this topic and to identify general patterns that may help elucidate the relationship between host microbial communities and invasiveness. …”
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Collective intermittent exploration in fish schools is mediated by visual cues by Deze Liu, Daniel Burbano

“…Exploratory behaviour is fundamental to animal collectives, directly influencing fitness through resource acquisition and predator avoidance. …”
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AI-Driven Feedback Systems Reduce Sidewalk Riding on Shared E-Scooters by Mohammad Mehdi Oshanreh, Daniel Malarkey, Don MacKenzie

“…These results suggest AI feedback modifies behavior but doesn't fundamentally change diverse riding patterns.…”
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