The geopolitical environment impact of Arctic Passage on Eurasia: An analysis based on multi-factor geometric potential models by Chunjuan Wang, Dahai Liu, Haiyan Shan, Yuan Chi, Quanbin Wang, Ying Yu, Xiaoyang Yang

“…Meanwhile, it will provide a comprehensive reference for the development and utilization of the Arctic Passage about the geopolitical environment patterns.…”
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Flame–Flame Interactions and Jet–Jet Interactions in Gas Turbine Swirl Combustors by Wei Wei, Xin Hui, Xin Xue, Qiang An, Shiyang Yu

“…Annular combustors are widely used in newly developed aero-engines. Nevertheless, the development of annular combustors requires substantial air supplies and high-power heaters during testing, leading to high experimental costs. …”
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Assessment of the Correspondence Between User Needs and Classroom Design Criteria for Pre-Schoolers with Autism Spectrum Disorder in Turkey by ABDALLAH Luqmaan Fihri, ERÇİN Çilen

“…These recommendations aim to create inclusive and conducive learning environments that support the growth and development of preschoolers with ASD.…”
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Beef Carcass Grading with EfficientViT: A Lightweight Vision Transformer Approach by Hyunwoo Lim, Eungyeol Song

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IoT-Based Traffic Prediction for Smart Cities by Zhinong Miao, Qilong Liao

“…The implications for smart city development are substantial, as the model offers a robust solution for managing complex traffic patterns and enhancing real-time decision-making. …”
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Evolution and driving factors of “Production-living-ecological spaces” in mountainous counties: a case study of Tongdao County, Hunan Province by Hengyuan Cao, Weidong Liu, Minjie Liu

“…Third, PLES are significantly affected by water sources and roads, and the production and living spaces are typically located adjacent to these features. Finally, the development and evolution of PLES patterns are primarily influenced by natural geographical factors, with socioeconomic factors acting as the primary driving force. …”
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MRI Delta Radiomics to Track Early Changes in Tumor Following Radiation: Application in Glioblastoma Mouse Model by Mohammed S. Alshuhri, Haitham F. Al-Mubarak, Abdulrahman Qaisi, Ahmad A. Alhulail, Abdullah G. M. AlMansour, Yahia Madkhali, Sahal Alotaibi, Manal Aljuhani, Othman I. Alomair, A. Almudayni, F. Alablani

“…A machine learning model was developed to classify irradiated tumors based on delta radiomic features, and statistical analyses were conducted to evaluate feature feasibility, stability, and predictive performance. …”
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Comparative thoracic radiography in healthy and tuberculosis-positive sun bears (Helarctos malayanus) by Kirsty Officer, Kirsty Officer, Natalie Webster, Alana J. Rosenblatt, Phorn Sorphea, Kris Warren, Kris Warren, Bethany Jackson, Bethany Jackson

“…Agreement was lower for the presence of specific lung patterns, reflecting inherent subjectivity when classifying these features. …”
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Machine learning of whole-brain resting-state fMRI signatures for individualized grading of frontal gliomas by Yue Hu, Xin Cao, Hongyi Chen, Daoying Geng, Kun Lv

“…The biological interpretability of selected features reflects distinct neuroplasticity patterns between LGGs and HGGs, advancing understanding of glioma-network interactions.…”
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Spatial–temporal evolution and associated factors of older adult care institutions in Shanghai by Xingxing Yin, Jinghang Cui, Yifan Wu, Mingxuan Cui, Kun Li, Haoxiang Guo

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Optimizing physical education schedules for long-term health benefits by Liang Tan, Qin Chen, Jianwei Wu, Mingbang Li, Tianyu Liu

“…The developed DL model integrates convolutional neural network (CNN) layers to capture spatial features and long short-term memory (LSTM) layers to extract temporal patterns from demographic and activity-related variables. …”
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Carbon use efficiency of alpine grasslands affected by grazing exclusion and local environmental context in Tibet, China by Yunfei Feng, Jianshuang Wu, Meng Li, Ben Chen, Minyahel Tilahun, Xianzhou Zhang

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A Review of Application of Deep Learning in Endoscopic Image Processing by Zihan Nie, Muhao Xu, Zhiyong Wang, Xiaoqi Lu, Weiye Song

“…Deep learning, particularly convolutional neural networks (CNNs), has revolutionized endoscopic image processing, significantly enhancing the efficiency and accuracy of disease diagnosis through its exceptional ability to extract features and classify complex patterns. This technology automates medical image analysis, alleviating the workload of physicians and enabling a more focused and personalized approach to patient care. …”
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Structural bioinformatics approaches for predicting novel drug targets in hepatitis C virus proteins: a comprehensive analysis by Miao Qu, Mingzhu Gao, Xisheng Sang, Miao Yu, Zihe Guan, Weizhi Chang

“…While experimental validation is needed, these results contribute to the development of novel anti-HCV therapeutics and highlight potential strategies for targeted intervention.…”
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Conservation Strategy Proposal for Antakya Historic City Centre after 2023 Kahramanmaraş Earthquake by Filiz Karakuş, Esra Koyuncu

“…The methodology includes data collection, field observation, documentation, evaluation, and proposal development. Damage assessments were conducted on 250 buildings using the 1997 Umbria-Marche earthquake damage classification and methods developed by the Turkish Catastrophe Insurance Pool in 2002. …”
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Entoconulid or Cusp 6 on Indonesian Male Body by Anna Nur Azizah, Arfiani Ika Kusumawati, Mindya Yuniastuti, Elza Ibrahim Auerkari

“…It reflects complex genetic, epigenetic, and environmental interactions during tooth development. In forensic contexts, the presence of such morphological features can aid in population-specific identification and provide additional evidence in cases lacking ante-mortem data.The entoconulid, though rare, is a significant morphological characteristic with applications in forensic identification and anthropological research. …”
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Theoretical and methodological approaches to the study of generations: a comparative analysis by V. S. Novikova

“…A generation is understood as a group of people similar in value attitudes, behavior patterns and worldview, which were developed in the course of joint experience of historical events and socio-economic conditions with a common age interval of about 20 years.In the framework of the presented work, It has been assumed that generational theories and classifications have points of contact that allow them to be systematized and compared. …”
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Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigms by Eva Guttmann-Flury, Xinjun Sheng, Xiangyang Zhu

“…They can be considered as noise, affecting the efficiency and accuracy of decoding users’ cognitive states and intentions, or as potential features, providing valuable insights into users’ behavior and interaction patterns. …”
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DIODEM – A Diverse Inertial and Optical Dataset of kinEmatic chain Motion by Simon Bachhuber, Dustin Lehmann, Ive Weygers, Thomas Seel

“…The dataset enables researchers to systematically study individual and combined IMT challenges, facilitating algorithm development for applications ranging from biomechanics to autonomous systems.…”
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Pathway-like Activation of 3D Neuronal Constructs with an Optical Interface by Saeed Omidi, Yevgeny Berdichevsky

“…Responses of the network to the stimulation possessed features of neuronal population code, including separability by input pattern and mixed selectivity of individual neurons. …”
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