A comparative study on different machine learning approaches with periodic items for the forecasting of GPS satellites clock bias by Longjiang Song, Jiahao Liu, Leilei Wang, Ziyi Wang, Yibo Yuan

“…In recent applications, deep learning models have significantly improved handling time-series data. This paper presents four machine learning prediction models that take into consideration periodic variations. …”
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Elevated Anthropometric and Metabolic Indicators among Young Adult Offspring of Mothers with Pregestational Diabetes: Early Results from the Transgenerational Effect on Adult Morbi... by Katherine Bowers, Shelley Ehrlich, Lawrence M. Dolan, Resmi Gupta, Mekibib Altaye, Nicholas J. Ollberding, Rhonda Szczesniak, Patrick Catalano, Emily Smith, Jane C. Khoury

“…The TEAM Study was initiated to evaluate young adult offspring of mothers with pregestational diabetes mellitus. This paper outlines the unique enrollment challenges of the TEAM Study and preliminary analysis of the association between exposure to diabetes in pregnancy and adverse metabolic outcomes. …”
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Trajectory Tracking for 3-Wheeled Independent Drive and Steering Mobile Robot Based on Dynamic Model Predictive Control by Chaobin Xu, Xingyu Zhou, Rupeng Chen, Bazhou Li, Wenhao He, Yang Li, Fangping Ye

“…Compared to four-wheel independent drive and steering (4WID4WIS) mobile robots, three-wheel independent drive and steering (3WID3WIS) mobile robots are more cost-effective due to their lower cost, lighter weight, and better handling performance, even though their acceleration performance is reduced. This paper proposes a dynamic model predictive control (DMPC) controller for trajectory tracking of 3WID3WIS mobile robots to simplify the computational complexity and improve the accuracy of traditional model predictive control (MPC). …”
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Research progress of Traditional Chinese and Western medicine nursing for shivering during elective cesarean section (择期剖宫产术中寒战的中西医护理研究进展) by HUANG Yi (黄旖), YU Yuxiu (于玉秀), ZHONG Shaohui (钟少晖), Li Xingqing (利心情)

“…shivering is one of common causes of maternal discomfort during cesarean section. This paper reviewed the studies on shivering during elective cesarean section in perspectives of its mechanism, risk factors, comprehensive heat-preservation and Traditional Chinese Medicine nursing interventions, and provided reference for prevention and control of shivering during elective cesarean section. …”
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INTRASPECIFIC VARIABILITY OF THE Sus1 SUCROSE SYNTHASE GENE IN Pisum sativum ACCESSIONS by E. A. Dyachenko, M. A. Slugina

“…Sucrose synthase cleaves sucrose into UDP-glucose and fructose. This paper is devoted to characterization of Sus1 gene intraspecific variability in 14 Pisum sativum accessions. …”
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Cascaded neural network surrogate modeling for real-time decision-making in long-distance water supply distribution by Lin Shi, Jian Zhang, Sheng Chen, Yi Liu, Wenlong Zhao

“…However, traditional hydraulic models are time-intensive to develop and require frequent calibration, limiting their practicality for real-time applications. This paper presents a cascaded neural network (CNN) model that integrates classification and regression components to serve as an efficient surrogate model for real-time water distribution decision-making. …”
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High-reward, high-risk technologies? An ethical and legal account of AI development in healthcare by Maelenn Corfmat, Joé T. Martineau, Catherine Régis

“…Abstract Background Considering the disruptive potential of AI technology, its current and future impact in healthcare, as well as healthcare professionals’ lack of training in how to use it, the paper summarizes how to approach the challenges of AI from an ethical and legal perspective. …”
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Research on attenuation rate correlation calibration method based on acoustic variable density logging by Dongming Liu, Ronghui Yan, Chao Zhou, Lisha Zhang, Pan Zhao, Bing Li, Jun Qin

“…Abstract In order to solve the problem of logging calibration without a free pipe in the process of acoustic variable density logging and the subjective problem of the free pipe calibration method, this paper studies an attenuation rate calibration method based on acoustic variable density logging. …”
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Application of Photovoltaic Systems in Field Observation and Research Stations: Research on the Relationship between Power Generation Scale and Electricity Consumption to Improve P... by Jianan Yao, Junfeng Zhu, Binbin Wang, Junkui Niu, Wenbing Liu, Long Chen, Yifan Song

“…Meanwhile, regions with poor ecosystem stability are relatively sensitive to environmental changes and thus prone to degradation and succession due to external interference. In this paper, the photovoltaic (PV) power generation system of a grassland ecohydrological field scientific observation and research station was taken as the research object. …”
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Analysis on the Behavior Characteristics of NOx in Blast Furnace Gas by Peng HOU, Changliang ZHEN, Zibing WANG, Jie XU, Long HE, Xing ZHANG, Huan LIU

“…In order to reduce the NOx emission in the blast furnace smelting process, based on the analysis of the actual production data of the 2 300 m3 blast furnace in an iron and steel plant, this paper elaborates on the formation and reduction mechanism of NOx in the blast furnace, and the distribution characteristics and influence of NOx in the blast furnace through thermodynamic calculation, mathematical statistics and other methods. …”
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Agent-based risk analysis model for road transportation of dangerous goods by Hassan Kanj, Ajla Kulaglic, Wael Hosny Fouad Aly, Mutaz A.B. Al-Tarawneh, Khaled Safi, Sawsan Kanj, Jean-Marie Flaus

“…Although essential for societal progress, transporting dangerous goods demands meticulous planning, stringent regulations, and specialized handling procedures to analyze potential hazards and asses shipment risk levels. In this paper, a DGT risk assessment method has been proposed and modeled using a multi-agents system, where each agent possesses specific attributes, failure modes, and behavioral patterns. …”
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Harvesting living labs outcomes through learning pathways by Astha Bhatta, Heleen Vreugdenhil, Jill Slinger

“…While these transdisciplinary environments foster continuous knowledge exchange and interactions among actors from diverse disciplines and sectors, the role of learning in realizing the impacts of living labs on participating actors and broader society is often underexplored. This paper aims to identify and analyze learning that occurs within a sequence of co-creative activities and their resulting outcomes, using the concept of ‘learning pathways’. …”
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Motor Imagery EEG Classification Based on Multi-Domain Feature Rotation and Stacking Ensemble by Xianglong Zhu, Ming Meng, Zewen Yan, Zhizeng Luo

“…Conclusions: Experimental results show that the method proposed in this paper outperforms several existing MI classification methods, such as the Common Time-Frequency-Spatial Patterns and the Selective Extract of the Multi-View Time-Frequency Decomposed Spatial, in terms of classification accuracy and robustness.…”
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On the obligations of states to respond to climate change and China’s legal consequences: based on the advisory opinion in case no. 31 of the international tribunal for the law of... by Wanping Zeng, Wanping Zeng, Guihua Wang, Guihua Wang

“…Key findings reveal gaps in China’s current legal system and emphasize the need for proactive measures to align with international standards.DiscussionTo address these challenges, the paper proposes several recommendations: developing a comprehensive legal framework for climate change, reinforcing due diligence obligations, establishing a robust climate monitoring and assessment system, and enhancing the capacity of domestic enterprises to handle international climate litigation. …”
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Structural Improvement of the ω-Type High-Speed Rail Clip Based on a Study of Its Failure Mechanism by Xiaogang Gao, Anbin Wang, Yu He, Xiaohan Gu

“…In the circumstances of high-speed railways, the wheel-rail vibration is significantly aggravated by polygonal wheel wear and rail corrugation, which subsequently leads to the wheel-rail interaction at higher frequencies and potential failure of the rail fastening. In this paper, a ω-type clip of the fastening in the CRH high-speed rail was used to investigate the failure mechanism. …”
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Temporal-Logic-Based Testing Tool for Programs Using the Message Passing Interface (MPI) and Open Multi-Processing (OpenMP) Programming Models by Salwa Saad, Etimad Fadel, Ohoud Alzamzami, Fathy Eassa, Ahmed Mohammed Alghamdi

“…However, the reliability of these concurrent systems remains a critical concern due to runtime errors, such as deadlocks and race conditions, that are often undetectable by compilers. This paper introduces a novel testing tool that leverages linear temporal logic (LTL) properties to detect runtime errors in hybrid MPI and OpenMP applications. …”
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Runoff Simulation of Yulong Kashi River Basin Based on CN05.1 Dataset Driven SWAT Model by YU Xiaobo, HUANG Lingmei, SHEN Manhua, ZHANG Ting

“…To investigate the simulation performance of the SWAT model driven by the CN05.1 dataset in areas lacking meteorological stations and the response of basin runoff to climate change, the Yulong Kashi River Basin is selected as the study area. This paper uses the aforementioned dataset to drive the SWAT model to conduct monthly runoff simulations of the basin from 1991 to 2020. …”
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Scalable and Privacy-Preserving Inter-AS Routing Through Machine-Learning-Based Graph Pruning by Davide Andreoletti, Cristina Rottondi, Silvia Giordano, Andrea Bianco

“…These protocols are based on Multi-Party Computation (MPC) schemes, which guarantee privacy at the cost of high computational and communication complexity, thus limiting scalability. In this paper, we exploit machine learning (ML) techniques to prune the network graph by removing the nodes with a low likelihood of being traversed by the shortest path. …”
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Spectral-Spatial Hyperspectral Image Semisupervised Classification by Fusing Maximum Noise Fraction and Adaptive Random Multigraphs by Eryang Chen, Ruichun Chang, Kaibo Shi, Ansheng Ye, Fang Miao, Jianghong Yuan, Ke Guo, Youhua Wei, Yiping Li

“…In addition, parameter adjustment during HSI classification is time-consuming. This paper proposes a novel fusion method based on the maximum noise fraction (MNF) and adaptive random multigraphs for HSI classification. …”
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An Integrated Strategy for Hybrid Energy Storage Systems to Stabilize the Frequency of the Power Grid Through Primary Frequency Regulation by Dan Zhou, Zhiwei Zou, Yangqing Dan, Chenxuan Wang, Chenyuan Teng, Yuanlong Zhu

“…Therefore, to reduce frequency deviations caused by comprehensive disturbances and improve system frequency stability, this paper proposes an integrated strategy for hybrid energy storage systems (HESSs) to participate in primary frequency regulation (PFR) of the regional power grid. …”
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