Recent Advances in Resistive Gas Sensors: Fundamentals, Material and Device Design, and Intelligent Applications by Peiqingfeng Wang, Shusheng Xu, Xuerong Shi, Jiaqing Zhu, Haichao Xiong, Huimin Wen

“…Machine learning (ML) algorithms have enabled intelligent design of novel sensing materials, optimized multi-gas identification, and enhanced data reliability in complex environments. …”
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Sensor‐Guided Smart Irrigation for Tomato Production: Comparing Low and Optimum Soil Moisture in Greenhouse Environments by Ibrahim Dirlik, Ferhat Uğurlar, Cengiz Kaya

“…Fruit yield increased by 47% in T2, with an average of 56 fruits per plant compared to 45 in T1, and the average fruit weight was 85 g in T2 compared to 56 g in T1. Future research should explore the integration of advanced sensors, machine learning algorithms, and predictive models to further optimize irrigation strategies, with an emphasis on scalability and environmental impact. …”
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Mapping of Local Climate Zones and Heat Hazard Assessment from a Historical-Future Perspective by Jiayi Ren, Jun Yang, Wenbo Yu, Nan Cong, Xiangming Xiao, Jianhong Xia, Xueming Li

“…Local climate zone (LCZ) characterization reduces LULC uncertainty in climate research. This study designed a future multiscenario LCZ thermal environment assessment framework that integrates remote sensing images, a patch-level land use simulation model, and a contribution algorithm. …”
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Study on Dust Distribution Law in Open-Pit Coal Mines Based on Depth Variation by Dongmei Tian, Xiyao Wu, Jian Yao, Weiyu Qu, Jimao Shi, Kaishuo Yang, Jiayun Wang

“…The research team developed a three-dimensional geological model updating algorithm with depth gradient as the characteristic parameter, enabling dynamic monitoring of mining depth with a model iteration accuracy of 0.5 m per update. …”
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The Heavy‐Tailed Inverse Power Lindley Type‐I Model: Reliability Inference and Actuarial Applications by Amal S. Hassan, Diaa S. Metwally, Mohammed Elgarhy, Rokaya Elmorsy Mohamed

“…ABSTRACT The analysis and modeling of asymmetric data present an interesting and important area of research across various applied sciences, particularly in lifetime studies, medical research, and financial analysis. …”
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Automatic detection and prediction of epileptic EEG signals based on nonlinear dynamics and deep learning: a review by Shixiao Tan, Zhen Tang, Qiang He, Ying Li, Yuliang Cai, Jiawei Zhang, Di Fan, Zhenkai Guo

“…These methods reveal dynamic patterns in signals, thereby substantially improving epilepsy detection and prediction accuracy. …”
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AUTOMATION OF INNOVATIVE DEVELOPMENT MANAGEMENT OF THE RUSSIAN ARCTIC ZONE by O. Klementeva, S. Chernogorskiy, K. Shvetsov

“…The subject of research is the model-algorithmic support of the automated system providing for innovative activities within the Russian Arctic zone.The article is aimed to work out the theoretical and practical methods for automation of the regional innovative system management with application of modern information technologies. …”
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S. Spitz nevus – Clinical, Dermatoscopic and Histological Features Correlation – Cases Report by T. Shulaia, N. Kiladze, A. Miriamidze

“…The content analysis, bibliosemantic method of studying the actual scientific researches concerning non-invasive methods of S. Spitz nevus evaluation were used. …”
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Convergence in key month of phenology-based mangrove species classification using sentinel-2 imagery data: insights from structural and physiological indices by Yangcan Bao, Xiaofeng Lin, Mingming Jia, Zhongyong Xiao, Cuiping Wang, Jiangfu Liao, Yinghui Zhang

“…The results of this study highlight the key phenological patterns and provide guidance for VI selection in future research.…”
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Automated analysis of retinal microcirculation in type 1 diabetes mellitus by Yu. N. Yusef, M. H. Durzhinskaya, V. G. Pavlov, D. V. Petrachkov, I. B. Gurevich, V. V. Yashina, A. T. Tleubaev, V. V. Fadeyev, I. V. Poluboyarinova, A. E. Goldsmid, R. А. Karamullina, D. V. Lipatov, M. V. Budzinskaya

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Machine learning aids in the discovery of efficient corrosion inhibitor molecules by Haiyan GONG, Lingwei MA, Dawei ZHANG

“…Specifically, ML models can extract key information and construct predictive models through feature extraction and pattern recognition using existing data. These models can rapidly identify potential high-efficiency corrosion inhibitor molecules, thereby significantly accelerating research. …”
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Precise irrigation of dryland cotton under canal irrigation system constraints based on the CERES-CROPGRO-Cotton model by Lei Wang, Liang He, Weihong Sun, Chen Gao, Zhenxiang Han, Meiwei Lin

“…This research offers a refined solution for intelligent irrigation decision-making in cotton cultivation in arid regions and paves the way for the application of intelligent agricultural decision systems.…”
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Experimental Study on Compressive Capacity Behavior of Helical Anchors in Aeolian Sand and Optimization of Design Methods by Qingsheng Chen, Wei Liu, Linhe Li, Yijin Wu, Yi Zhang, Songzhao Qu, Yue Zhang, Fei Liu, Yonghua Guo

“…The research findings demonstrate the following: (1) Compressive capacity exhibits significant enhancement with increasing helix diameter yet displays limited sensitivity to helix number. (2) Load–displacement curves progress through three distinct phases—initial quasi-linear, intermediate non-linear, and terminal quasi-linear stages—under escalating pressure. (3) At embedment depths of <i>H</i> < 5<i>D</i>, tensile capacity diminishes by approximately 80% relative to compressive capacity, manifesting as characteristic shallow anchor failure patterns. (4) When <i>H</i> ≥ 5<i>D</i>, stress redistribution transitions from bowl-shaped to elliptical contours, with ≤10% divergence between uplift/compressive capacities, establishing 5<i>D</i> as the critical threshold defining shallow versus deep anchor behavior. (5) The helix spacing ratio (<i>S</i>/<i>D</i>) governs the failure mode transition, where cylindrical shear (CS) dominates at <i>S</i>/<i>D</i> ≤ 4, while individual bearing (IB) prevails at <i>S</i>/<i>D</i> > 4. (6) XGBoost feature importance analysis confirms internal friction angle, helix diameter, and embedment depth as the three parameters exerting the most pronounced influence on capacity. (7) The proposed computational models for <i>N</i>_q and <i>K</i>_u demonstrate exceptional concordance with numerical simulations (mean deviation = 1.03, variance = 0.012). …”
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Parametric Design and Mechanical Characterization of a Selective Laser Sintering Additively Manufactured Biomimetic Ribbed Dome Inspired by the Chorion of Lepidopteran Eggs by Alexandros Efstathiadis, Ioanna Symeonidou, Emmanouil K. Tzimtzimis, Dimitrios Avtzis, Konstantinos Tsongas, Dimitrios Tzetzis

“…The current research aims to analyze the shape and structural features of the eggs of the lepidoptera species <i>Melitaea</i> sp. …”
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Enhancing Campus Mobility: Simulated Multi-Objective Optimization of Electric Vehicle Sharing Systems Within an Intelligent Transportation System Frameworks by Omar S. Aba Hussen, Shaiful J. Hashim, Nasri Sulaiman Member, S.A.R. Alhaddad, Bassam Y. Ribbfors, Masanobu Umeda, Keiichi Katamine

“…This research optimizes an electric vehicle (EV) sharing system for a university campus, focusing on different demand patterns and peak times within an Intelligent Transportation System (ITS) framework. …”
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Study on the Influence of Split Blades on the Force Characteristics and Fluid–Structure Coupling Characteristics of Pumps as Turbines by Fengxia Shi, Xuexue Zong, Guangbiao Zhao, Denghui Zhang, Pengcheng Wang, Haonan Zhan

“…Based on the SIMPLE algorithm and RNG k–ε turbulence model, a complete three-dimensional unsteady numerical simulation was conducted on the internal flow field of the pump-turbine. …”
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Mo.Se.: Mosaic image segmentation based on deep cascading learning by Andrea Felicetti, Marina Paolanti, Primo Zingaretti, Roberto Pierdicca, Eva Savina Malinverni

“…(Mosaic Segmentation), an algorithm that exploits deep learning and image segmentation techniques; the methodology combines U-Net 3 Network with the Watershed algorithm. …”
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Study on the mechanisms associating community outdoor public spaces with elderly behavior by Lei Wang, Wenqi He, Shan Wu, Bo Zhang, Xiaorui Zhang, Hu Yin

“…Abstract As the global population ages, enhancing community outdoor public spaces to accommodate the needs of senior citizens has emerged as a critical challenge. This research delves into the intricate relationship between community outdoor public spaces and the behavioral patterns of the elderly, seeking to inform strategies for optimizing these spaces. …”
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Holiday ride-hailing at intercity transfer hubs: Where space squeezes and time stretches by Zhuonan Jiang, Tianqi Gu, Zhuo Chen, Hua Liang, Jiao Jiao, Han Li

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Historical Manuscripts Analysis: A Deep Learning System for Writer Identification Using Intelligent Feature Selection with Vision Transformers by Merouane Boudraa, Akram Bennour, Mouaaz Nahas, Rashiq Rafiq Marie, Mohammed Al-Sarem

“…Identifying the scriptwriter in historical manuscripts is crucial for historians, providing valuable insights into historical contexts and aiding in solving historical mysteries. This research presents a robust deep learning system designed for classifying historical manuscripts by writer, employing intelligent feature selection and vision transformers. …”
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