Functional information technology in geometry-graphic training of engineers by Irina D. Stolbova, Evgeniya P. Aleksandrova, Konstantin G. Nosov

“…Computer graphics is an efficient mechanism for the development of students’ spatial thinking. The role of instrumental training of students to the wide use of CAD-systems increases in the solution of educational problems and in the implementation of project tasks, which corresponds to the modern requirements of the professional work of the designer-constructor.In this paper, the following methods are used: system analysis, synthesis, simulation.General geometric-graphic training model of students of innovation orientation, based on the use of a wide range of computer technology is developed. …”
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Novel post-translational modification learning signature reveals B4GALT2 as an immune exclusion regulator in lung adenocarcinoma by Ge Zhang, Zhenfa Zhang, Lianmin Zhang, Guangyao Zhou, Pengpeng Zhang, Dingli Wang, Shuai Jiang

“…The system’s predictive value was validated across diverse malignancy categories for immunotherapeutic response assessment. …”
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Multimodal lightweight neural network for Alzheimer's disease diagnosis integrating neuroimaging and cognitive scores by Bhoomi Gupta, Ganesh Kanna Jegannathan, Mohammad Shabbir Alam, Kottala Sri Yogi, Janjhyam Venkata Naga Ramesh, Vemula Jasmine Sowmya, Isa Bayhan

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Boundary aware microscopic hyperspectral pathology image segmentation network guided by information entropy weight by Xueying Cao, Hongmin Gao, Ting Qin, Min Zhu, Ping Zhang, Ping Zhang, Peipei Xu, Peipei Xu

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A stochastic optimization method for economic microgrid operation based on "source-load operation" mode classification by ZHOU Hang, MA Lihong, LI Zhongzhong, WANG Haisheng, LI Sifan, ZHANG Changjun, FU Linbei

“…Second， a source-load probabilistic forecasting model for the target day is established using similar-day data under the same operation mode， and typical source-load forecasting scenarios are obtained through scenario generation and reduction. …”
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Dental bur detection system based on asymmetric double convolution and adaptive feature fusion by HongLing Hou, Ao Yang, Xiangyao Li, Kangkai Zhu, Yandi Zhao, Zhiqiang Wu

“…YOLO-DB yielded a Mean Average Precision (mAP@0.5) of 99.3% on the dental bur dataset, with a notable 3.2% increase in mAP@0.5:0.95 and a sustained detection pace of 128 frames per second. The model also achieved a 14.4% reduction in parameter volume and a 17.9% decrease in computational expenditure, while achieving a flawless counting accuracy of 100%. …”
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Collaborative Scheduling of Yard Cranes, External Trucks, and Rail-Mounted Gantry Cranes for Sea–Rail Intermodal Containers Under Port–Railway Separation Mode by Xuhui Yu, Cong He

“…The spatial separation of port yards and railway hubs, which relies on external truck drayage as a necessary link, hampers the seamless transshipment of sea–rail intermodal containers between ports and railway hubs. …”
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Research on UAV aerial imagery detection algorithm for Mining-Induced surface cracks based on improved YOLOv10 by Jiayong An, Siyuan Dong, Xuanli Wang, Chenlei Li, Wenpei Zhao

“…Experiments show a 12% mAP@0.5 improvement and 17% reduction in parameters on a self-built mining crack dataset, with further validation on VisDrone2019 (mAP@0.5: 0.422, + 11.6%), Validating its effectiveness for UAV-based small-object detection, the model offers an efficient, reliable solution for geological hazard warning and mining safety.…”
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Chromosomes and speciation in tuco-tuco (Ctenomys, Hystricognathi, Rodentia) by A. A. Torgasheva, E. A. Basheva, M. J. Gomez Fernandez, P. Mirol, P. M. Borodin

“…These changes can modulate the flow of genes between chromosomal races and amplify the divergence which has arisen due to spatial isolation. These data confirm the recombinational model of chromosomal speciation.…”
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Evolution Mechanism of Advanced Equipment Manufacturing Innovation Network Structure from the Perspective of Complex System by Jianbo Wang, Xing Cao

“…The reduction in spur helps to increase economic output.…”
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Spatiotemporal simulation of sustainable development based on ecosystem services under climate change. by Bao Zhou, Guoping Chen, Junsan Zhao, Ying Yin

“…The results indicate that: (1) Under all three scenarios in 2035, the trend of LUCs in the karst area of southeastern Yunnan is highly consistent, though the intensity and spatial configuration vary significantly. The least reduction in arable land area occurs under the shared socioeconomic pathways (SSP) 126 scenario, while water bodies and construction land show varying degrees of increase; (2) Regarding ESs, both water yield and soil retention exhibit an increasing trend across all scenarios by 2035, with the most notable rise under SSP126. …”
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Simulating CO2 dynamics in Brackish Lake Obuchi, Japan: Low pCO2 maintenance through diverse nutrient inputs by Kazuhiro Misumi, Takaki Tsubono, Daisuke Tsumune, Takeshi Yoshimura, Shinji Ueda

“…The pCO2 variability is dominated by spatially uniform seasonal patterns (90% of variance) driven by temperature changes, while summer periods exhibit distinct spatial patterns (6.0% of variance) that vary with river discharge magnitude. …”
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Resource-Oriented Treatment Technologies for Rural Domestic Sewage in China Amidst Population Shrinkage: A Case Study of Heyang County in Guanzhong Region, Shaanxi Province by Mei Huang, Degang Duan, Sicheng Tan, Ling Huang

“…This facilitates the transition from gray-infrastructure-dependent models to holistic pollution control systems with resource recovery capabilities. …”
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Research on channel estimation based on joint perception and deep enhancement learning in complex communication scenarios by Xin Liu, Shanghong Zhao, Yanxia Liang, Shahid Karim

“…The framework initially acquires the received signal by converting the guide-frequency symbols at the transmitter into time-domain sequences to be transmitted, and after propagating through the direct channel and the IRS reflection channel, processes the data at the receiver. Subsequently, the spatial and temporal features in the received signal are extracted using the CRPG-Net model, with the adaptive optimization capability of the model enhanced by deep reinforcement learning. …”
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PEMBELAJARAN KEBENCANAAN BAGI MASYARAKAT DI DAERAH RAWAN BENCANA BANJIR DAS BERINGIN KOTA SEMARANG by Erni Suharini, Dewi Liesnoor S dan Edi K Dewi Liesnoor S Edi Kurniawan

“…The high level of flood risk that occurs in Semarang city, raises the level of anxiety in the community , so it needs to have integration in community disaster education . The purpose of this paper is to inform the public profile of the flood prone areas in the form of non-spatial data base ( behavior towards disaster , habits and aspirations of the community in the face of disaster), and a disaster for developing learning models in shaping the character of the community . …”
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MSASGCN :  Multi-Head Self-Attention Spatiotemporal Graph Convolutional Network for Traffic Flow Forecasting by Yang Cao, Detian Liu, Qizheng Yin, Fei Xue, Hengliang Tang

“…Most existing research cannot model dynamic spatial and temporal correlations to achieve well-forecasting performance. …”
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Cropland encroachment on ecological land in Mainland Southeast Asia leads to massive carbon emissions by Danni Su, Kun Yang, Zongqi Peng, Run Sun, Mingfeng Zhang, Xiaofang Yang, Lusha Ma, Jingcong Ma

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Rate-induced transitions and noise-driven resilience in vegetation pattern dynamics by L. Vanderveken, M. Crucifix

“…<p>Understanding the resilience and stability of vegetation patterns under changing environmental conditions is crucial for predicting ecosystem responses to climate change. This study investigates the dynamics of vegetation patterns in response to a spatially homogeneous decrease in rainfall across the entire domain. …”
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Analysis Method for Ground Settlement Induced by Ultra-Deep Excavation in Hangzhou Soft Clay Considering Time-Space Effect by XIONG Yifan, YING Hongwei, ZHANG Jinhong, CHENG Kang, LI Binghe

“…Finally, a rapid approach was proposed for predicting ground settlements while accounting for the temporal and spatial influences. …”
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Preventing epileptogenesis by interaction between inositol isomers and proteins by Lia Tsverava, Luka Kharkhelauri, Vincenzo Lagani, Giorgi Gamkrelidze, Veriko Bokuchava, Tamar Kiguradze, Merab Kokaia, Revaz Solomonia

“…For the first time, we demonstrated that the treatment with SCI and DCHI, alongside MI, significantly reduces the frequency and duration of behavioral SRS in a KA‐induced post‐status epilepsy model in rats. This reduction persisted for 4 weeks post‐treatment. …”
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