Application of Artificial Intelligence Large Language Model in Power Equipment Operation and Maintenance by Xiaohong Chen, Wenrun Fu, Chaoming Liu, Zehong Liu, Junpeng Li, Zhiliang Hu, Dongbin Hu

“…Additionally, this study analyzes the challenges faced by multimodal AI-LLM in enabling power equipment operation and maintenance, including the varying quality of multimodal data, the "black box" nature of algorithms leading to low transparency in decision-making processes, and model performance deterioration induced by environmental changes. …”
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Visual Point Cloud Map Construction and Matching Localization for Autonomous Vehicle by Shuchen Xu, Kedong Zhao, Yongrong Sun, Xiyu Fu, Kang Luo

“…When satellite signals are unavailable, vehicles can achieve accurate localization by matching rich ground environmental data to digital maps, simultaneously providing the auxiliary localization information for drones. …”
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Short-Term Power Prediction Method for Photovoltaic Power Plants Based on ECA-MTGNN Integration by HUANG Congzhi, LIU Yantong

“…To address the issue of low accuracy in short-term power prediction for photovoltaic (PV) power plants, this paper proposes a power prediction method that integrates an Efficient Channel Attention Mechanism and a Multivariate Time Series Graph Neural Network (ECA-MTGNN). …”
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Clinical decision guidance by an automated, brachial cuff-based cardiac output assessment in patients with shock under treatment: a pilot study in Athens, Greece by Dimitrios Xanthis, Panagiotis Kanatas, Dimitrios Mouziouras, Antonios A. Argyris, Pavlos Vernikos, Georgia Mastakoura, Elpida Athanasopoulou, Theodore G. Papaioannou, Athanase D. Protogerou

“…Decisions (defined as “need for action” or “no action”) were based: (i) on SGC-acquired data and standard ICU monitoring (SIM); (ii) on MG-acquired data and SIM; (iii) SIM only. …”
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Recovering manifold representations via unsupervised meta-learning by Yunye Gong, Jiachen Yao, Ruyi Lian, Xiao Lin, Chao Chen, Ajay Divakaran, Yi Yao

“…To address this issue, we propose manifold representation meta-learning (MRML) based on autoencoders to recover the underlying manifold structures without uniformly or densely sampled data. Specifically, we adopt episodic training, following model agnostic meta-learning, to meta-learn autoencoders that are generalizable to unseen samples specifically corresponding to regions with low-sampling density. …”
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Rapid and low-cost geochemical indices for tracing iron mining tailings within fluvial sediments: a case study from the Paraopeba River after the B1 Dam burst in Brumadinho, Minas... by Fernando Luís Pantuzzo, Fernando Verassani Laureano, Caíque Lima Cabral, Caíque Lima Cabral, Gabriel Negreiros Salomão, Roberto Dall’Agnol, Vitor Brognaro Pimenta, Lucas Pereira Leão

“…Based on the aforementioned data, we proposed two chemical compositional indices, IRS1 and IRS2, which are rapid and low-cost to calculate. …”
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Using Observational Data to Estimate the Effect of Hand Washing and Clean Delivery Kit Use by Birth Attendants on Maternal Deaths after Home Deliveries in Rural Bangladesh, India a... by Nadine Seward, Audrey Prost, Andrew Copas, Marine Corbin, Leah Li, Tim Colbourn, David Osrin, Melissa Neuman, Kishwar Azad, Abdul Kuddus, Nirmala Nair, Prasanta Tripathy, Dharma Manandhar, Anthony Costello, Mario Cortina-Borja

“…<h4>Methods</h4>We tested associations between clean delivery practices and maternal deaths, using a pooled dataset for 40,602 home births across sites in the three countries. Cross-sectional data were analysed by fitting logistic regression models with and without multiple imputation, and confounders were selected a priori using causal directed acyclic graphs. …”
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Hydrologic Decision Support in the Nile Basin: Creating Status Products from the GEOGLOWS Hydrologic Model by Rachel Huber Magoffin, Riley C. Hales, E. James Nelson, Calvince Wara, Gustavious P. Williams, Andrew South, Zeleke K. Challa

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Barriers and facilitators to scale-up of hospital-at-home: an observational cohort study protocol by Stephanie Q. Ko, Stephanie Q. Ko, Stephanie Q. Ko, Shi Yun Low, Nick Sevdalis

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Electricity theft detection in integrated energy systems considering multi-energy loads by Wenlong Liao, Dechang Yang, Leijiao Ge, Yixiong Jia, Zhe Yang

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Experimental research of technological elastic deformations of the central holes of gears by A. S. Serkov, V. V. Derkach, S. V. Mikhailenko, L. B. Serkova

“…The research experimentally investigates the occurrence of technological elastic deformations of the central holes of gears of low technological rigidity (non-rigid gears) caused by their fixation in 3-cam self-centering cartridges. …”
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Collaborative manufacturing in the steelmaking–continuous casting section using intelligent technologies by Qing LIU, Mo LAN, Zicheng XIN, Jiangshan ZHANG

“…The comprehensive integration and dynamic collaboration of manufacturing execution system (MES), process control, process operation control, and production planning and scheduling systems were achieved through the development of key process control models, production planning and scheduling models, and data interfaces between MES, dynamic knowledge graphs, and digital twins systems. …”
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Social support to eradicate open defecation: raise awareness and promote healthy behavior by Muhammad Ikhtiar, Nur Ulmy Mahmud, Andi Asrina, Andi Arysta, Putri Khairunnisa

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Digital Exclusion and Depressive Symptoms among Older People: Findings from Five Aging Cohort Studies across 24 Countries by Jingjing Wang, Xinran Lu, Sing Bik Cindy Ngai, Lili Xie, Xiaoyun Liu, Yao Yao, Yinzi Jin

“…Background: Digital exclusion is a global issue that disproportionately affects older individuals especially in low- and middle-income nations. However, there is a wide gap in current research regarding the impact of digital exclusion on the mental health of older adults in both high-income and low- and middle-income countries. …”
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Comparative analysis of methods for predicting train-induced vibrations by Wei-Lun Hsu, Wei-Bin Chen, Meng-Ting Hsieh

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Domain Adversarial Convolutional Neural Network Improves the Accuracy and Generalizability of Wearable Sleep Assessment Technology by Adonay S. Nunes, Matthew R. Patterson, Dawid Gerstel, Sheraz Khan, Christine C. Guo, Ali Neishabouri

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The impact of dropouts in scRNAseq dense neighborhood analysis by Alisa Pavel, Manja Gersholm Grønberg, Line H. Clemmensen

“…In addition, these results call for extensive benchmarking, to identify and provide methods robust in their local neighborhood relationships on data containing low to high dropout rates.…”
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Construction and application of knowledge mapping of carbon emission governance technologies for coal mining and utilization by Ying WANG, Liya WANG, Fei MA, Yang YANG, Zishuai ZU

“…With the expansion of low-carbon development scenarios in the coal industry, the accumulation of data, and the development of artificial intelligence and big models, this study will optimize the construction method of the atlas on the basis of multimodal data fusion, expand the application scope of the atlas, and improve the accuracy of the recommendation of technology paths.…”
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Construction and Mathematical Application of Document-Level Relationship Extraction Model Combining R-GCN and Text Features by Zhiqin Chen

“…Regarding the relationship between mathematical knowledge points, the accuracy and recall in five types were all 0.87 to 0.92, and the accuracy and recall in complex nested relationships were 0.95 and 0.93, respectively. In low resource scenarios, the model still maintained a precision of 0.81 and an F1 value of 0.83 at a data scale of 10%, demonstrating excellent robustness. …”
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Embedding Tangent Space Extreme Learning Machine for EEG Decoding in Brain Computer Interface Systems by Mingwei Zhang, Yao Hou, Rongnian Tang, Youjun Li

“…This approach enables a low-dimensional embedding to capture more discriminant information for classification by efficiently incorporating information from testing and training data into a Riemannian graph. …”
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