State of health prediction of lithium-ion batteries in charging chambers based on multi-modal deep learning by ZHAO Yinghua, CHEN Anbi, ZHANG Zengyu, LI Wenzhong, HAN Yu

“…A multi-modal deep learning network model, TCN-BiLSTM-Transformer, was constructed, leveraging a multi-level feature extraction mechanism for efficient processing of temporal signals. The Temporal Convolutional Network (TCN), utilizing dilated convolutional kernels with an exponential expansion rate, captured multi-scale local features while preserving temporal integrity. …”
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Development of empirical correlations for sustainable breakup characterization of water and high-viscous oil sheets under acoustic perturbations using high-speed imaging by Aman Singh, Devesh T, Subhash K, Preetam Polavarapu, Jayakrishnan Rahul, Karthick S, Balaji K

“…The key innovation of this study is the design and fabrication of a compact liquid sheet acoustic atomizer that efficiently utilizes acoustic energy to produce high-quality sprays. …”
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Targeted generative data augmentation for automatic metastases detection from free-text radiology reports by Maede Ashofteh Barabadi, Xiaodan Zhu, Wai Yip Chan, Amber L. Simpson, Richard K. G. Do

“…Specifically, we prompt Llama3, an open-source instruction-tuned large language model, to generate synthetic training data to expand our limited labeled data and adapt BERT, a small pretrained language model, to the task. …”
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Modeling the Asymmetric and Time-Dependent Volatility of Bitcoin: An Alternative Approach by Abdulnasser Hatemi-J

“…This is essential since the source of risk for an investor with a long position is the falling prices, while the source of risk for an investor with a short position is the rising prices. …”
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IoMT and Blockchain Synergy: A Novel Approach to Health Data Validation and Storage by Abbas Syed Muhammad Ali, Sikandar Ali, Khan Ziaullah, Moon-Il Joo, Hee-Cheol Kim

“…Rigorous performance evaluations demonstrate the potential of our framework to transform healthcare workflows, improve operational efficiency, and maximize the utility of IoMT data for improved healthcare delivery and patient-centric models of care. …”
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Machine learning approaches for real-time ZIP code and county-level estimation of state-wide infectious disease hospitalizations using local health system data by Tanvir Ahammed, Md Sakhawat Hossain, Christopher McMahan, Lior Rennert

“…The lack of conventional methods of estimating real-time infectious disease burden in granular regions inhibits timely and efficient public health response. Comprehensive data sources (e.g., state health department data) typically needed for such estimation are often limited due to 1) substantial delays in data reporting and 2) lack of geographic granularity in data provided to researchers. …”
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The State of the Art Electricity Load and Price Forecasting for the Modern Wholesale Electricity Market by Vasileios Laitsos, Georgios Vontzos, Paschalis Paraschoudis, Eleftherios Tsampasis, Dimitrios Bargiotas, Lefteri H. Tsoukalas

“…The high penetration of renewable energy sources and the formation of competitive prices for utilities play a critical role in the wider economic development. …”
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SmartExplorer1.0: A Novel Intelligent Framework for Path Planning in Robotics by Chiara Furio, Angelo Ugenti, Giulio Reina, Mario Massimo Foglia, Luciano Lamberti

“…Autonomous systems require advanced path planning to ensure safe and efficient navigation through complex terrains. The SmartExplorer1.0 algorithm (SE1.0) utilizes Digital Terrain Models (DTMs) as input to identify navigable areas and plan optimal routes by incorporating terrain gradients, obstacle types, and environmental conditions. …”
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Current Status of Cancer Diagnosis and Treatment in Nigeria by Tolulope Joseph Ogunniyi, Boluwatife Samuel Fatokun, Kafayat Omolara Isah, Asmau Abdulbaki, Adeola Roqeebat Emiola, Kesaobaka Batisani

“…Methods This review utilizes publicly available sources such as GLOBOCAN, Google Scholar, PubMed, and other gray literature. …”
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The VMD-Informer-BiLSTM-EAA Hybrid Model for Predicting Zenith Tropospheric Delay by Zhengdao Yuan, Xu Lin, Yashi Xu, Ruiting Dai, Cong Yang, Lunwei Zhao, Yakun Han

“…Zenith Tropospheric Delay (ZTD) is a significant source of atmospheric error in the Global Navigation Satellite System (GNSS). …”
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Financing health system elements in Africa: A scoping review. by Humphrey Cyprian Karamagi, David Njuguna, Solyana Ngusbrhan Kidane, Herve Djossou, Hillary Kipchumba Kipruto, Aminata Binetou-Wahebine Seydi, Juliet Nabyonga-Orem, Diane Karenzi Muhongerwa, Kingsley Addai Frimpong, Benjamin Musembi Nganda

“…Thus, we aimed to generate evidence on how to utilize resources from different sources of funds in Africa. …”
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Achieving High-Quality Effluent and Low-Carbon Emission through Coupling Fluidized Pellet Bed and Capacitive Deionization by Dingkun LUO, Peipei TONG, Zhihua LI, Tianlong REN, Chengjian YANG, Xiaochang WANG

“…It is estimated that a further reduction of 0.19 kg CO2/m3 could be achieved by recovering electricity from the separated carbon sources of the FPB system using anaerobic digestion. …”
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Carbon-carbon triple bond cleavage and reconstitution to achieve aryl amidation using nitrous acid esters by Zi-Ying Wang, Shoujun Wang, Nan-Nan Dai, Yao Xiao, Yu Zhou, Wen-Chan Tian, Dongru Sun, Qiang Li, Yong Wang, Wen-Ting Wei

“…Nitrous acid ester serves as both a radical source and a hydrogen atom transfer (HAT) reagent to functionalize and utilize the two carbon atoms of the C–C triple bond. …”
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Diagnosis accuracy of machine learning for idiopathic pulmonary fibrosis: a systematic review and meta-analysis by Li Cong, Ying Chen, Xiaolei He, MaiLiKai KuErBan, Chao Wu, Liping Chen

“…Data sources and methods We comprehensively searched PubMed, Cochrane, Embase, and Web of Science databases up to August 24, 2024. …”
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Automated information sharing in foster care: perspectives on impact and expansion by Nathan M. Lutz, Nathan M. Lutz, Mary V. Greiner, Mary V. Greiner, Lisa Vaughn, Amanda Schondelmeyer, Elizabeth Freehling, Katie Fox, Sarah J. Beal, Sarah J. Beal, Sarah J. Beal

“…The purpose of this work is to understand their perspectives related to the utility of information-exchange technology, barriers faced, and potential improvements.ResultsThree themes were identified: (1) Impact and Benefits: The high-yield benefits of automated, on-demand information-sharing platforms for children in foster care; (2) User Experience and Efficiency: Streamlined workflows and improved outcomes; and (3) Opportunities for Platform Expansion: How information sharing can be further improved. …”
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Research Status and Prospects of Key Technologies for Rice Smart Unmanned Farms by YU Fenghua, XU Tongyu, GUO Zhonghui, BAI Juchi, XIANG Shuang, GUO Sien, JIN Zhongyu, LI Shilong, WANG Shikuan, LIU Meihan, HUI Yinxuan

“…Land leveling technology can improve the growing environment of rice and increase the land utilization rate, and the current land leveling technology through digital sensing and path planning technology, which improves the operational efficiency and reduces the production cost at the same time. …”
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Electrochemical Direct Lithium Extraction: A Review of Electrodialysis and Capacitive Deionization Technologies by Jeongbeen Park, Juwon Lee, In-Tae Shim, Eunju Kim, Sook-Hyun Nam, Jae-Wuk Koo, Tae-Mun Hwang

“…ED employs ion-exchange membranes (IEMs), such as cation exchange membranes, to selectively transport lithium ions from sources like brine and seawater and achieves high recovery rates. …”
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Strategic bioprocessing of A. protothecoides and C. sorokiniana using renewable feedstocks for targeted bioproduct and biodiesel generation by Eleni Krikigianni, Kyriakos Antoniadis, Paul Christakopoulos, Ulrika Rova, Leonidas Matsakas, Alok Patel

“…These findings advance microalgal bioprocessing by emphasizing the importance of fine-tuning cultivation strategies and utilizing renewable nutrients to maximize resource efficiency and optimize the biosynthesis of valuable bioproducts, such as proteins, pigments, carbohydrates, and high-quality lipids.…”
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Toward Trustworthy Machine Learning for Daily Sediment Modeling in the Riverine Systems: An Integrated Framework With Enhanced Uncertainty Quantification and Interpretability by Z. J. Yue, N. N. Wang, B. D. Xu, X. Huang, D. M. Yang, H. B. Xiao, Z. H. Shi

“…(c) Conformal prediction‐based UQ provides probabilistic information to quantify prediction reliability and efficiency, alongside uncertainty sources: discharge (∼38.9%) > precipitation (∼33.4%) > land cover (∼19.6%) > SPEI (∼8.1%). …”
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Feeding value of low opportunity cost biomasses (agri-food by-products) for development of circular pond fish feeds: An evaluation with common carp (Cyprinus carpio) by Felix Kofi Agbeko Kuebutornye, Anil Axel Tellbüscher, Petr Dvořák, Koushik Roy, Jan Mraz

“…Bakery or breakfast cereals discards are novel sources of digestible energy for pond fish (∼400 kcal 100 g−1). …”
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