Gender differences in functional somatic disorders of indigenous adolescents in Khakassia by Natalya Yu. Grishkevich, Lidia S. Evert, Svetlana A. Bakhshieva, Yuliya R. Kostyuchenko

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Data Learning-based Frequency Risk Assessment in a High-penetrated Renewable Power System by Jiaxin WEN, Siqi BU, Qiyu CHEN, Bowen ZHOU

“…Finally, the effectiveness of the proposed MCS-ANN algorithm was verified on IEEE 10-machine 39-node system.…”
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A Distributed Energy Optimized Routing Using Virtual Potential Field in Wireless Sensor Networks by Haifeng Jiang, Yanjing Sun, Renke Sun, Wei Chen, Shanshan Ma, Jing Gao

“…Since data transmission typically consumes more energy than any other activities on a sensor node, it is of great importance to design energy optimized routing algorithm to achieve both energy efficiency and energy balance together, in order to prolong the network lifetime. …”
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Fast and Accurate Cross-PVT Full-Chip Leakage Power Estimation With Multi-Task Learning by Zhuomin Chai, Wei Liu, Yibo Lin, Runsheng Wang

“…Our method has been validated using data from a 14 nm industrial FinFET technology node. Compared to the traditional simulation-based method, our method can achieve around 1.76% relative error on average and largely reduced turnaround time, considering all cell types and states. …”
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Effective Urban Region Representation Learning Using Heterogeneous Urban Graph Attention Network (HUGAT) by Namwoo Kim, Yoonjin Yoon

“…HUGAT utilizes an urban-Heterogeneous Information Network (Urban-HIN) to model diverse relations among multiple urban node and edge types. It simultaneously learns multiple objectives of spatial and human activity variations through a heterogeneous graph attention network. …”
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Network-cycle motif participation is associated with individual and collective wealth in Honduran villages by Shivkumar Vishnempet Shridhar, Selena T. Lee, Yanick Charette, George Iosifidis, Nicholas A. Christakis

“…Furthermore, we introduce a new metric of cycle composition, defined as the average of some measure (e.g., wealth) of a node’s alters in its cycles, and find that this metric outperforms cycle quantity as an indicator of both current and future wealth. …”
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A model-based approach to detection of the circulating melanoma cells from the photoacoustic cytometry data by Yurii M. Ishbulatov, Viktoriia V. Skazkina, Anatoly S. Karavaev, Olga A. Inozemtseva, Daniil N. Bratashov, Arkady S. Abdurashitov, Oleg V. Grishin, Alexey N. Hramkov, Vladimir P. Zharov

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Adaptive Channel Division and Subchannel Allocation for Orthogonal Frequency Division Multiple Access-Based Airborne Power Line Communication Networks by Ruowen Yan, Qiao Li, Huagang Xiong

“…We introduce pioneering algorithms for channel division and subchannel allocation within Orthogonal Frequency Division Multiple Access (OFDMA)-based airborne PLC networks, aimed at optimizing network performance in key areas such as throughput, average delay, and fairness. The proposed channel division algorithm dynamically adjusts the count of subchannels to maximize Channel Division Gain (CDG), responding adeptly to fluctuations in network conditions and node density. …”
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Metabolically neutral obesity: terminology, prevalence, and meaning by Dmitry Yu. Serdyukov, Alexander V. Gordienko, Daniel A. Sokolov, Vladislav T. Dydyshko, Igor I. Zhirkov

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Intelligent Optimization of OSPF Path Selection Using Machine Learning Models for Adaptive Network Routing by Rebeen Rebwar Hama Amin

“…Furthermore, link and node failure are common in network routing. Random Forest and logistic regression models are employed to predict these. …”
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Friend Link Prediction Method Based on Heterogeneous Multigraph and Hierarchical Attention by Aoxue Liu, Boyu Li, Yong Wang, Ziteng Yang

“…We then employ a skip-gram model to embed POI nodes from user sub-trajectories and use RNN with GRU units to embed user nodes. …”
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Tennis Assistance Technology Based on Dynamic Time Warping Algorithm by Penggang Wang, Pengpeng Zhang, Guanxi Fan

“…The experiment outcomes indicate that this method can validly raise the training effect of tennis players, with an accuracy rate of 95.66%, a calculation time of 0.32 seconds, a variance of 0.88, and an average absolute error of 4.22. Compared with the experimental group that does not use normalization, support vector mechanism node detection, sparse matrix, and second-order stepping mode, there is a significant improvement in performance. …”
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Efficiency and safety of video-assisted mediastinal lymphadenectomy in the treatment of non-small cell lung cancer by A. A. Skorokhod, A. S. Petrov, A. R. Kozak, M. A. Atyukov, A. O. Nefedov, P. K. Yаblonskiy

“…The average number of lymph nodes was 26±8.6 compared to (14.3±6) in both groups, respectively (p<0.05). …”
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A Novel Approach Based on Hypergraph Convolutional Neural Networks for Cartilage Shape Description and Longitudinal Prediction of Knee Osteoarthritis Progression by John B. Theocharis, Christos G. Chadoulos, Andreas L. Symeonidis

“…The <i>C_Shape.Net</i> operates on a hypergraph of volumetric nodes, especially designed to represent the surface and volumetric features of the cartilage. …”
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RAPO: An Automated Performance Optimization Tool for Redis Clusters in Distributed Storage Metadata Management by Yunkai Zhu, Tian Xia, Te Zhu, Zhoujie Zhao, Kexin Li, Xingbo Hu

“…Greedy and random iterative search algorithms are designed to migrate hash slots from selected nodes, thereby balancing the node loads and enhancing overall cluster performance. …”
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Analysis of the results of designing reading electronics of silicon photomultiplier tubes driven by the base matrix crystal MN2XA030 by O. V. Dvornikov, V. A. Tchekhovski, Ya. D. Galkin, A. V. Kunts, V. R. Stempitski, N. N. Prokopenko

“…In the course of measuring the parameters, it was revealed that the spread of the baseline level for the FOut output ranged from -24 to 276 mV with an average value of 85.6 mV. In this case, a voltage changing in the FOoutShift node from -3 to 3 V is sufficient to establish a base level value of FOut output close to zero. …”
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Chameleon swarm algorithm with Morlet wavelet mutation for superior optimization performance by Vipan Kusla, Gurbinder Singh Brar, Harpreet Kaur, Ramandeep Sandhu, Chander Prabha, Md. Mehedi Hassan, Shahab Abdulla, Md Rittique Alam, Samah Alshathri, Walid El-Shafai

“…Five performance metrics—average energy consumption, total energy consumption, total residual energy, dead node and cluster head frequency are taken into consideration when evaluating the performances against state-of-the-art algorithms. …”
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Seeding Status Monitoring System for Toothed-Disk Cotton Seeders Based on Modular Optoelectronic Sensors by Tao Jiang, Xuejun Zhang, Zenglu Shi, Jingyi Liu, Wei Jin, Jinshan Yan, Duijin Wang, Jian Chen

“…The average probability of system misjudgment is 3.25%. …”
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A Comprehensive Framework for Emergency Message Dissemination in Urban VANET Scenarios: A Comparative Analysis of Clustering-Based Routing Protocols by Ravneet Kaur, Chaitanya Singla, Harpal Singh, Rajat Bhardwaj, Preeti Sharma, Ambika Aggarwal, Deema Mohammed Alsekait, Diaa Salama Abd Elminaam

“…The analysis evaluates that RA-MHWM with CLWPR and CJBR possess significantly higher average throughput, increased Packet Delivery Ratio, and decreased average end-to-end delivery compared to RA-MHWM with AODV and other protocols. …”
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A data driven approach to urban area delineation using multi source geospatial data by Chenyu Fang, Lin Zhou, Xinyue Gu, Xing Liu, Martin Werner

“…Abstract This study introduces a data-driven, bottom-up approach to urban delineation, integrating feature engineering with the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm, which represents a significant improvement in precision and methodology compared to traditional approaches that rely on simplistic OpenStreetMap (OSM) road node data aggregations. By employing a broad array of OSM categories and refining data selection through feature engineering, our research significantly enhances the precision and relevance of urban clustering. …”
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