A nomogram integrating the clinical and CT imaging characteristics for assessing spread through air spaces in clinical stage IA lung adenocarcinoma by Yantao Yang, Li Li, Huilian Hu, Chen Zhou, Qiubo Huang, Jie Zhao, Yaowu Duan, Wangcai Li, Jia Luo, Jiezhi Jiang, Zhenghong Yang, Guangqiang Zhao, Yunchao Huang, Lianhua Ye

“…PurposeThis study aimed to create a nomogram model to predict the spread through air spaces (STAS) in patients diagnosed with stage IA lung adenocarcinoma, utilizing a substantial sample size alongside a blend of clinical and imaging features. …”
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AI-Powered Prediction of Dental Space Maintainer Needs Using X-Ray Imaging: A CNN-Based Approach for Pediatric Dentistry by Aslıhan Yelkenci, Günseli Güven Polat, Emir Oncu, Fatih Ciftci

“…This study aimed to develop a deep learning model to predict the necessity of SMs and identify specific teeth requiring intervention. …”
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Neighborhood social environment and mental health of older adults in China: the mediating role of subjective well-being and the moderating role of green space by Taizhi Lin, Qianhui Wang, Zixuan Tan, Wen Zuo, Rong Wu

“…Therefore, this study explores the mechanism that influences the social environment of the neighborhood and the mental health of older adults, the mediating effect of subjective well-being (SWB), and the moderating effect of green space.MethodsBased on the 2018 China Labor Dynamics Survey, this study used the structural equation model to explore the mediating effect of neighborhood social environment (neighborhood ties, social trust, community security) on the mental health of older adults through SWB and the moderating effect of green space.ResultsSocial trust and community security are both directly and positively associated with older adults’ mental health. …”
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Network Interaction of Universities in the Context of the Russian Arctic Development by E. V. Kudryashova, M. V. Nenasheva, A. A. Saburov

“…The article considers network interaction of Russian universities to solve strategic problems of macroregions development. Network interaction is a common model of cooperation between universities abroad, and in recent years, in connection with the new challenges facing Russian education, it has become relevant for Russian universities. …”
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Analysis of the Carbon Emission Trajectory and Influencing Factors of Agricultural Space Transfer: A Case Study of the Harbin-Changchun Urban Agglomeration, China by Xiwen Bao, Xin Wang, Ziao Ge, Jiayao Xi, Yinghui Zhao

“…Additionally, the spatiotemporal patterns and influencing factors are analyzed using the standard deviation ellipse method and the geographical detector model. The results indicate that: (1) The agricultural space in the Harbin-Changchun urban agglomeration has increased, with a reduction in living space and an expansion of production space. …”
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Planetary Gearbox Design and Development using Additive Manufacturing by Mohammed Amer, Chung-Cheng Lin, Hasan Ismail, Shin-Hung Wu, Bo-Rong Lu, Zhang-Yang Wu, Shih-Feng Chen, Chung-Wei Cheng

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A Coupling Error Compensation Approach Concerning Constrained Space Coordinate Precision of a Heavy-Load Longitudinal and Transversal Swing Table by Manxian Liu, Rui Bao, Shuo Li, Liang Ji, Suozhuang Li, Xiaoqiang Yan, Wei Li

“…A coupling error model is established and its transmission mechanism is analyzed to develop a positioning error compensation strategy. …”
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Modeling of chronic ovary inflammation by N. А. Volkova, M. S. Yuhta, Т. А. Yurchuk, L. V. Stepanuk, E. D. Ivanova, E. V. Pavlovich

“…The proliferation of connective tissue was noted under the basement membrane of the follicles, between generative elements and ovarian medulla. To the 31st day of modeling granulosa cell layers lost ordered structure, reflected in the increasing of intercellular space and accumulation of fluid between the cells. …”
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Parametric analysis of the Bass model by Yair Orbach

“…In this research, the authors explore the influence of the Bass model p, q parameters values on diffusion patterns and map p, q Euclidean space regions accordingly. …”
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DEVELOPMENT OF THE METHODS FOR RESOURCE REALLOCATION IN CLOUD COMPUTING SYSTEMS by Viacheslav Davydov, Daryna Hrebeniuk

“…The goal of the work is to increase the efficiency of available resources usage in cloud computing systems (such as RAM, disk space, CPU, network) by developing the model for adaptive management of resource reallocation. …”
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Explicit-Time Trajectory Tracking for a State-Constraint Continuum Free-Floating Space Robot with Smooth Joint-Path and Low Input by Rui Tang, Yicheng Liu, Jialing Yang, Xiang Ma, Wen Yan

“…Based on the Lagrangian method, a dynamic model for the continuum space robot is developed. …”
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Examining the urban morphology and defensive mechanisms of Dutch Malacca via topology, space syntax, and sDNA under the framework of CPTED theory by Weicong Li, Sharifah Salwa Syed Mahdzar, Khairul Anwar Mohamed Khaidzir

“…Abstract The fragmentation in Malacca’s urban space largely stems from historical planning issues, initially driven more by external pressures than developmental guidance. …”
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A Flash Flood Numerical Modeling and Forecasting Tool in Mountainous Small Catchments Based on a 2‐D Hydrodynamic Model by Fulei Wang, Chaojun Ouyang, Huicong An, Xiaoqing Chen, Shu Zhou, Qingsong Xu

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AGAIN ON SUSTAINABLE DEVELOPMENT FROM THE PERSPECTIVE OF ENVIRONMENTAL MEASUREMENTS by G. M. Abdurakhmanov, Sh. Sh. Gasanov, L. Sh. Akhmedova, R. T. Radzhabova

“…The purpose of the work is evaluating the basic model for sustainable eco-development at the regional level and ecological capacity as a basis for normalizing the anthropogenic burden within the country and its regions. …”
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Active power and frequency oscillation suppression strategy for parallel virtual synchronous generators system based on fractional-order virtual inertia by Lei Zhang, Rongliang Shi, Zheng Dong, Meishu Li, Junhui Li, Yu Zhang

“…Moreover, a small-signal state space model of the fractional-order PVSGS is developed, and the stability of the PVSGS is proved by using the root locus analysis method. …”
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Hyflex Pedagogies: Nurturing teacher presence in multi-modal learning spaces post pandemic [version 2; peer review: 2 approved] by TJ O'Ceallaigh, Emma O Brien, Cornelia Connolly

“…This paper argues that teachers need to understand how students exist in learning spaces and how the can be co-present in physical, synchronous and asynchronous spaces to enable them to ensure equitable access and design inclusive hyflex learning environments.…”
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Ukrainian startup ecosystems: regional development and European integration by D. A. Donets

“…This study analyzes current state and regional characteristics of Ukraine’s startup ecosystem, identifies disparities and competitive advantages, develops recommendations for optimization within European innovation space integration framework. …”
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Psychometric questionnaire of developing the etiology pattern of road accident by Faranak Sharafati, Ali Jahan, Ehsan Kazemnejade Lyli, Majid Mirmohammadkhani

“…At the first stage, a questionnaire was developed by searching sources and experts. Then, the important components and desired  dimensions were identified in the initial models, then the initial questionnaire was developed and submitted to the expert for approval. …”
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Modeling Spatial Data with Heteroscedasticity Using PLVCSAR Model: A Bayesian Quantile Regression Approach by Rongshang Chen, Zhiyong Chen

“…Spatial data not only enables smart cities to visualize, analyze, and interpret data related to location and space, but also helps departments make more informed decisions. …”
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Convex Optimization of Markov Decision Processes Based on Z Transform: A Theoretical Framework for Two-Space Decomposition and Linear Programming Reconstruction by Shiqing Qiu, Haoyu Wang, Yuxin Zhang, Zong Ke, Zichao Li

“…This study establishes a novel mathematical framework for stochastic maintenance optimization in production systems by integrating Markov decision processes (MDPs) with convex programming theory. We develop a Z-transformation-based dual-space decomposition method to reconstruct MDPs into a solvable linear programming form, resolving the inherent instability of traditional models caused by uncertain initial conditions and non-stationary state transitions. …”
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