A Fusion Method Based on Physical Modes and Satellite Remote Sensing for 3D Ocean State Reconstruction by Yingxiang Hong, Xuan Wang, Bin Wang, Wei Li, Guijun Han

“…This study developed an operational-oriented lightweight framework for three-dimensional ocean state reconstruction by integrating multi-source observations through a computationally efficient multivariate empirical orthogonal function (MEOF) method. …”
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A Case Report of Obstructive Shock from an Esophageal Bolus Leading to Left Atrial Compression by Sharmin Kalam, Sergio Marquez, Emmelyn J. Samones, Tammy Phan, Vi Am Dinh

“…Follow-up ultrasound showed improvement of compression and cardiac function. Conclusion: In evaluation of acute shock, multiple etiologies must be considered. …”
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Therapeutic role of mesenchymal stem cells in neurogenesis for management of neurological disorders: a scientometric study to an in-depth review by Qian Wang, Weifeng Jiang, Yan Feng, Lin Li, Lisheng Chu, Yan Fang

“…To comprehend the many processes and mechanisms of neurogenesis and the role of mesenchymal stem cells (MSCs) as active contributors to pathologic events influencing neurogenesis. We utilized the Web of Science (core collection) as the data source.MethodsThe search was performed in the Web of Science core collection database until April 30, 2024, with the terms “Mesenchymal stem cells” as the title and “neurogenesis” as the topic.ResultsA total of 407 papers about mesenchymal stem cells in neurogenesis published from 2004 to 2024 were retrieved. …”
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HippoUnit: A software tool for the automated testing and systematic comparison of detailed models of hippocampal neurons based on electrophysiological data. by Sára Sáray, Christian A Rössert, Shailesh Appukuttan, Rosanna Migliore, Paola Vitale, Carmen A Lupascu, Luca L Bologna, Werner Van Geit, Armando Romani, Andrew P Davison, Eilif Muller, Tamás F Freund, Szabolcs Káli

“…Anatomically and biophysically detailed data-driven neuronal models have become widely used tools for understanding and predicting the behavior and function of neurons. Due to the increasing availability of experimental data from anatomical and electrophysiological measurements as well as the growing number of computational and software tools that enable accurate neuronal modeling, there are now a large number of different models of many cell types available in the literature. …”
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CLUSTERING ANALYSIS FOR GROUPING SUB-DISTRICTS IN BOJONEGORO DISTRICT WITH THE K-MEANS METHOD WITH A VARIETY OF APPROACHES by Denny Nurdiansyah, Mochamad Nizar Palefi Ma'ady, Yuana Sukmawaty, Muchammad Chandra Cahyo Utomo, Tia Mutiani

“…The research method used is a quantitative method with an exploratory study in the application of the K-Means method with a variety of approaches, namely the use of the Kernel K-Means method by utilizing the mapping function to map data to a higher dimension before the clustering process. …”
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Surgically treated ankle fractures in Sweden: a 15-year population-based study of 96 015 surgeries by Gustav Nilsson, Michael Axenhus

“…Abstract Background Ankle fractures are the third most common fractures, often requiring surgical intervention to restore function and mobility. Understanding trends in ankle fracture surgeries is essential for optimizing treatment strategies and improving patient outcomes. …”
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Evaluation of silkworm pupa meal on growth, body indices, digestive enzymes and histopathology of Cirrhinus mrigala fingerlings by Fatima Yasin, Muhammad Mudassar Shahzad, Syed Makhdoom Hussain, Syed Zakir Hussain Shah, Zawar Hussain, Waseem Abbas

“…Fish meal (FM) is a major feed source in the aquaculture industry, but its low profitability and scarcity have prompted a quest for high-protein substitutes. …”
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Estimating atmospheric precipitable water vapor in northern Morocco: A ground-based GNSS approach by Reda Drissi El Bouzaidi, Hajar El Talibi, Said El Moussaoui, Taoufik Mourabit

“…This delay can then be converted into atmospheric precipitable water vapor (PWV) using an integrated mapping function. This study aims to estimate atmospheric precipitable water vapor in the northeastern part of Morocco (specifically the Tangier–Tetouan–Al Hoceima region) utilizing ground-based GNSS techniques. …”
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Haplotype-resolved genomes of Trichophyton mentagrophytes and Trichophyton tonsurans by Sijie Feng, Zhenhui Wang, Kainan Lin, Kun Wang, Shuting Zheng, Qianqian Wang, Lianyu Lin, Yunkun Lu

“…More than 7500 protein-coding genes were identified, and over 99% of the genes were well annotated through multiple gene function databases. Approximately 10% of the genomes were covered by repeats, particularly retrotransposons. …”
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Application of Twisting Controller and Modified Pufferfish Optimization Algorithm for Power Management in a Solar PV System with Electric-Vehicle and Load-Demand Integration by Arunesh Kumar Singh, Rohit Kumar, D. K. Chaturvedi, Ibraheem, Gulshan Sharma, Pitshou N. Bokoro, Rajesh Kumar

“…To combat the catastrophic effects of climate change, the usage of renewable energy sources (RESs) has increased dramatically in recent years. …”
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The Impact of Anhedonia on the Disease Burden of Major Depressive Disorder in the Asia–Pacific Region: A Cross‐Sectional Real‐World Study by Keira Herr, Michael Berk, Wei‐Lieh Huang, Tadafumi Kato, Jung Goo Lee, Chong Guan Ng, Zhen Wang, Thomas Webb, Mami Kasahara‐Kiritani, Lawrence Vandervoort

“…We aimed to assess the impact of anhedonia on health‐related quality of life (HRQoL), health‐care resource utilization (HRU), and work productivity in subjects with MDD and anhedonia (MDD‐ANH) compared to subjects with MDD without ANH (MDD non‐ANH). …”
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A Deep Learning for Optimization and Visualization of Expressway Toll Lane Management by Pattarapon Klaykul, Wilaiporn Lee, Kanabadee Srisomboon, Luepol Pipanmekaporn, Akara Prayote

“…A multi-objective optimization function is applied to balance key objectives such as minimizing queue length, reducing queue time, lowering operational costs, and optimizing ETC utilization. …”
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A dataset of hidden small non-coding RNA in the testis of heat-stressed models revealed by Pandora-seq by Mailin Gan, Yuhang Lei, Kai Wang, Yan Wang, Tianci Liao, Jianfeng Ma, Li Zhu, Linyuan Shen

“…Subsequently, we conducted functional enrichment analysis on the potential predicted target genes of differentially expressed miRNAs and tsRNAs. …”
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Leader election of dynamic wireless intelligent control machine in sensor network distributed processing by Eko Sediyono, Ferry Wahyu Wibowo, Hindriyanto Dwi Purnomo

“…The clustering of sensor nodes utilizes a cluster function using the CLEO algorithm. …”
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Freeze-Drying for the Reduction of Fruit and Vegetable Chain Losses: A Sustainable Solution to Produce Potential Health-Promoting Food Applications by Dario Donno, Giovanna Neirotti, Annachiara Fioccardi, Zoarilala Rinah Razafindrakoto, Nantenaina Tombozara, Maria Gabriella Mellano, Gabriele Loris Beccaro, Giovanni Gamba

“…This study showed that the utilization of crop remains can potentially lead to the development of new functional foods, providing additional economic benefits for farmers. …”
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Migrating from Developing Asynchronous Multi-Threading Programs to Reactive Programs in Java by Andrei Zbarcea, Cătălin Tudose

“…The results are examined in terms of functional equivalence, testing, and comparative analysis of response times, resource utilization, and throughput, as well as the cases where the reactive paradigm proves to be a solution worth considering. …”
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AI-based medical ethics education: examining the potential of large language models as a tool for virtue cultivation by Shimpei Okamoto, Masanori Kataoka, Makoto Itano, Tsutomu Sawai

“…Results We discuss the imperative for including AI ethics in medical curricula and its utility as an educational tool, identify the lack of educational resources in medical ethics education, and advocate for future LLMs to mitigate this problem as a “second-best” tool. …”
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Analysis the Impact of Covid-19 on Green Accounting and Its Implications on Profitability by Reschiwati Reschiwati, Fran Sayekti, Tasia Veronica

“…Methods: This study utilizes panel data regression analysis conducted with EViews 13 software. …”
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Enhancing Binary Convolutional Neural Networks for Hyperspectral Image Classification by Xuebin Tang, Ke Zhang, Xiaolei Zhou, Lingbin Zeng, Shan Huang

“…Additionally, to address suboptimal training issues, EBCNN employs a dynamic curriculum learning strategy underpinned by a confidence-aware loss function, Superloss, enabling progressive binarization and enhancing its classification effectiveness. …”
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Reimagining recruitment: traditional methods meet AI interventions- A 20-year assessment (2003–2023) by Aaradhana Rukadikar, Komal Khandelwal, Uma Warrier

“…AI skills can be improved by HR personnel and training programs, and resource distribution ought to be based on perceived utility. …”
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