Spatial-temporal baseline study of nutrients and trace elements characterization of a large tropical transition system in West Africa by Celso Paulo, João A. Carreiras, Susanne Tanner, Carmen Van-Dúnem dos Santos, Vanessa F. Fonseca, Bernardo Duarte

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Association Mining for Operation and Maintenance Safety Risks of EMUs Based on Unstructured Event Data by Haixing Wang, Longtao Guo, Hong Yin, Yuefeng Huang, Shimeng Li

“…Constructing appropriate safety feature quantities by fully and effectively utilizing this data is a prerequisite for establishing a safety prevention and control network for EMUs. This paper proposes a model that matches risks in the operation and maintenance safety of EMUs with associated unsafe events, utilizing regular expression and pattern-matching technologies. …”
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A scientometric analysis of the thematic structure and analysis of the convergence mapping of medical education. by Mohammad Bagher Negahban

“… This study investigates the thematic structure and conceptual dynamics of research in medical education using scientometric and network analysis approaches. Despite the growing volume of literature in this field, few studies have comprehensively mapped its evolving patterns and interdisciplinary connections. …”
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Hybrid Blockchain-Based Multi-Operator Resource Sharing and SLA Management by Sidra Tul Muntaha, Qasim Z. Ahmed, Faheem A. Khan, Zaharias D. Zaharis, Pavlos I. Lazaridis

“…We propose a hybrid blockchain-based framework for multi-operator resource sharing and SLA management in 5G Standalone (5GSA) networks. Leveraging Hyperledger Fabric (HLF), we implement secure resource sharing between multiple seller Mobile Network Operators (MNOs) and a single buyer MNO, evaluating HLF’s performance in terms of transaction latency and throughput. …”
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Gird Congestion Management Based on the Renewable Energy Zones and Clustering of Grid Congestion Conditions by Yujiro Tanno, Akihisa Kaneko, Yasuhiro Hayashi, Yuki Itoda, Wataru Wayama, Kevin Tomsovic

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Ultrasound thyroid nodule segmentation algorithm based on wavelet transform and CNN-Transformer by ZHENG Shuijing, YANG Jun, CAI Yujiao

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Europe's adaptation to the energy crisis: reshaped gas supply–transmission–consumption structures and driving factors from 2022 to 2024 by C. Zhou, B. Zhu, A. Halff, A. Halff, S. J. Davis, Z. Liu, S. Bowring, S. B. Arous, P. Ciais

“…Total gas consumption fell by 19.0 %, which was driven by (1) consumer behavioral changes in household heating (contributed to 29 % of the total reduction; the following numbers are also percentage contributions to the total reduction); (2) drops in industrial production (25 %); (3) heating drops due to the warmer winter temperatures (11 %); (4) shifts towards renewable electricity including wind, solar, and hydro (10 %); (5) a decline in gas-powered electricity generation (9 %); (6) adoption of energy-efficient heat pumps for industrial gas heating (4 %); (7) shifts towards non-renewable electricity including coal, oil, and nuclear (1 %); and (8) other unmodeled factors (11 %). We evaluated the benefits and costs associated with these pattern changes and discussed whether these changes would potentially lead to long-term structural changes in the EU energy dynamics. …”
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Technology and practice for efficient development of coalbed methane horizontal wells in high-rank coal of Qinshui Basin by WU Xi

“…Consequently, a “five-element” evaluation index system for production potential in efficient development areas was established, and an optimization method for selecting efficient development areas for high-rank coalbed methane was formulated. …”
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Differentiating biomarker features and familial characteristics of B-SNIP psychosis Biotypes by David A. Parker, Rebekah L. Trotti, Jennifer E. McDowell, Sarah K. Keedy, Matcheri S. Keshavan, Godfrey D. Pearlson, Elliot S. Gershon, Elena I. Ivleva, Ling-Yu Huang, Kodiak Sauer, S. Kristian Hill, John A. Sweeney, Carol A. Tamminga, Brett A. Clementz

“…The Bipolar-Schizophrenia Network for Intermediate Phenotypes (B-SNIP) used psychosis-relevant biomarkers to identify psychosis Biotypes, which will aid etiological and targeted treatment investigations. …”
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Perspectives on the pH-Influenced Design of Chitosan–Genipin Nanogels for Cell-Targeted Delivery by Julieta D. Glasman, Agustina Alaimo, Cecilia Samaniego López, María Edith Farías, Romina B. Currá, Diego G. Lamas, Oscar E. Pérez

“…Kinetic modelling showed a sigmoidal formation pattern, suggesting nucleation, growth, and stabilisation. …”
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RelayGAN: Sequential knowledge propagation for sustainable multi-generation by Namkyung Yoon, Hwangnam Kim

“…To evaluate the effectiveness of RelayGAN, we conducted extensive experiments using quantitative methods. …”
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Vertiport Infrastructure Location Optimization for Equitable Access to Urban Air Mobility by Vasileios Volakakis, Hani S. Mahmassani

“…The proposed framework is illustrated through applications in the Chicago Metropolitan Area, with the demand estimated on the basis of existing taxi and Transportation Network Company (TNC) data.…”
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ST-GAT Resident OD Prediction Model Based on Mobile Signaling Data by Xianguang Jia, Weijie Fang, Yingying Lyu, Jinke Zhang, Mengyi Guo, Dong Li, Jie Qu, Fengxiang Guo

“…This model innovatively introduces the graph attention mechanism into the spatio-temporal graph network (ST-GNN), in the spatial dimension, the attention layer (GAL) dynamically learns the attention weights among nodes to adaptively capture the dynamic spatial dependencies in the transportation network, and in the temporal dimension, the temporal convolutional layer extracts the multiscale temporal patterns, which efficiently captures the complex spatiotemporal dependencies in the OD data. …”
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KEY TRENDS IN THE DEVELOPMENT OF LAND TRANSPORT INFRASTRUCTURE IN RUSSIA’S ARCTIC REGIONS DURING THE PRE-PANDEMIC PERIOD by Natalia A. Serova, Valentina A. Serova

“…The authors’ future research will focus on exploring trends and specificities of land transport development under current geopolitical conditions, aiming to evaluate the effectiveness of public policy in developing a backbone transport network in the Arctic during times of crisis.…”

Anamnestic, clinical, and dermoscopic predictors of malignancy in melanocytic lesions with peripheral globules: a retrospective study by Enrico Zelin, Vanessa Mazzoletti, Jessica Paladin, Andrea Corio, Raffaele Dante Caposiena Caro, Giulia Bazzacco, Enzo Errichetti, Nicola Di Meo, Iris Zalaudek

“… Melanocytic lesions with peripheral globules (MLPGs) usually represent lesions in an active growth phase and should be carefully evaluated in adults and the elderly, since melanoma can rarely present with this pattern. …”
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MobilitApp: A Deep Learning-Based Tool for Transport Mode Detection to Support Sustainable Urban Mobility by Gerard Caravaca Ibanez, Luis J. de la Cruz Llopis, Adrian Catalin Diaconeasa, Alberto Bazan Guillen, Monica Aguilar Igartua

“…Our approach leverages a hierarchical model combining convolutional neural networks (CNNs) for feature extraction and long short-term memory (LSTM) layers for temporal processing, enhanced by skip connections. …”
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Simultaneous Estimation of Wrist Joint Angle and Torque During Isokinetic Contraction Based on HD-sEMG by Mingjie Yan, Zhe Chen, Jianmin Li, Jinhua Li, Lizhi Pan

“…Ten able-bodied individuals were instructed to complete wrist isokinetic flexion and extension tasks with different movement patterns, and the HD-sEMG signals were collected. To decode these signals, a convolutional neural network (CNN) incorporating the global attention mechanism was established, named global attention convolutional neural network (GACNN). …”
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Learning to Infer Weather States Using Partial Observations by Jie Chao, Baoxiang Pan, Quanliang Chen, Shangshang Yang, Jingnan Wang, Congyi Nai, Yue Zheng, Xichen Li, Huiling Yuan, Xi Chen, Bo Lu, Ziniu Xiao

“…This allows us to evaluate each observation's value in reducing pattern estimation uncertainty, and guide optimal observation network design by pinpointing the most informative sites. …”
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Similarity Function for One-Shot Learning to Enhance the Flexibility of Myoelectric Interfaces by Xiang Wang, Xu Zhang, Xiang Chen, Xun Chen, Zhao Lv, Zhen Liang

“…The effectiveness of the proposed method was evaluated by experiments conducting MPR across diverse scenarios. …”
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Well Performance from Numerical Methods to Machine Learning Approach: Applications in Multiple Fractured Shale Reservoirs by Kailei Liu, Boyue Xu, Changjea Kim, Jing Fu

“…The first method is the artificial neural network, through which we can analyze the big data from unconventional reservoirs to understand the underlying patterns and relationships. …”
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