A Validation Tool (VaPCE) for Postcoordinated SNOMED CT Expressions: Development and Usability Study by Tessa Ohlsen, Viola Hofer, Josef Ingenerf

“…When errors are detected, the tool processes the SNOMED CT Concept Model in JSON format and applies predefined error categories. …”
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Wuling capsule alleviates hyperuricaemia and protects UA- injured HK-2 cells by regulating uric acid transporter proteins by Nan Li, Hongna Liu, Zhongxing Song, Rui Zhou, Zhishu Tang, Zhishu Tang, Hongbo Xu, Xinbo Shi, Yanru Liu, Jian Ni

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Dietary supplementation with L-carnitine elevates intracellular carnitine levels and affects gene expression of SLC25A20 and COX4I1, as well as non-mitochondrial respiration of bov... by Leonie Seemann, Susanne Kersten, Susanne Bühler, Fabian Billenkamp, Ulrich Meyer, Christian Visscher, Korinna Huber, Erika Most, Klaus Eder, Sven Dänicke, Jana Frahm

“…Fatty acids, among other substrates, are utilized by immune cells as an energy source. Therefore, L-carnitine, which is authorized as a feed additive in cattle, may influence the metabolism of peripheral blood mononuclear cells (PBMC) during an immune challenge. …”
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Integrating Ambient In-Home Sensor Data and Electronic Health Record Data for the Prediction of Outcomes in Amyotrophic Lateral Sclerosis: Protocol for an Exploratory Feasibility S... by William E Janes, Noah Marchal, Xing Song, Mihail Popescu, Abu Saleh Mohammad Mosa, Juliana H Earwood, Vovanti Jones, Marjorie Skubic

“…Sensor data are subjected to a multidimensional streaming clustering algorithm to detect changes in health status. Specific health outcomes are identified in the EHR and extracted via the REDCap (Research Electronic Data Capture; Vanderbilt University) Fast Healthcare Interoperability Resource directly into a secure database. …”
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Genomic Signatures of Positive Selection and Local Adaptation in Ethiopian Sheep Populations by B. E. Demissie, G. M. Tarekegn, H. Dadi, Z. Edea, A. A. Woldesemayat, K-S Kim, S. Girma, T. Seyoum, K. Melaku, S. Keskes

“…Fixation index (FST) and cross-population extended haplotype homozygosity (XPEHH) methods were used to detect signatures of positive selection. Functional analysis revealed genes related to plateau adaptation, immune response, and tail fat formation. …”
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Evaluation of allergenic protein profiles in three Chinese high-oleic acid peanut cultivars using NanoLC-Orbitrap mass spectrometry by Xinke Yang, Haochen Bai, Lijun Yin, Jin Wang, Wentong Xue, Xin Jia

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Discontinuation of immune checkpoint inhibitors for reasons other than disease progression and the impact on relapse and survival of advanced melanoma patients. A systematic review... by Konstantinos Lallas, Eftychia Chatziioannou, Derya Durak, Georg Frey, Lina Maria Serna-Higuita, Marie-Lena Rasch, Athanassios Kyrgidis, Eleni Timotheadou, Zoe Apalla, Ulrike Leiter, Lukas Flatz, Lukas Flatz, Aimilios Lallas, Teresa Amaral, Teresa Amaral

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Strategies and Challenges for Unmanned Aerial Vehicle-Based Continuous Inspection and Predictive Maintenance of Solar Modules by Ghulam E. Mustafa Abro, Amjad Ali, Sufyan Ali Memon, Tayab Din Memon, Faheem Khan

“…Our review paper emphasizes instant functionality and practical insights for predictive maintenance, without necessitating complex computing resources or optimization tools. …”
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Klebsiella pneumoniae under xylose pressure: the growth adaptation, antimicrobial susceptibility, global proteomics analysis and role of XylA and XylB proteins by Ruolan Yi, Jiaoyang Zheng, Zhichao Xu, Jiayan Wu, Fangfang Liu, Jinxin Zheng, Duoyun Li, Shiqing Han, Zhijian Yu

“…Additionally, while the growth adaptation of K2044−8Xyl−60G under xylose pressure was confirmed, no amino acid mutations were detected in the functional proteins of this xylose-induced isolate, suggesting that persistent xylose pressure does not cause nonsense mutations in the bacterial genome. …”
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Predicting the Likelihood of Operational Risk Occurrence in the Banking Industry Using Machine Learning Algorithms by Hamed Naderi, Mohammad Ali Rastegar Sorkhe, Bakhtiar Ostadi, Mehrdad Kargari

“…Machine learning models can process complex datasets, identify hidden patterns, and facilitate early risk detection, enabling banks to implement preventive measures before risks materialize. …”
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Evaluation of innovative technology market potential on the basis of technology audit by Oleksandra Kosenko, Victoriia Cherepanova, Iryna Dolyna, Viktoriia Matrosova, Olena Kolotiuk

“…This mechanism is built on structure evaluation table of technology market potential level detection as an object of commercialization. To ensure the efficiency of practical effect of the mechanism proposed, the authors systematized and completed methods of functional analysis and scanning of market environment for the purpose of qualitative comprehensive evaluation and innovative technology market potential forecasting.Introduction of the proposed evaluation method for technology market potential will result in the improvement of efficiency of enterprise innovation activity due to more rational distribution of available resources and immediate financing of developments with greater market potential.…”
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Glucosylceramides containing very long-acyl-chain fatty acid are critical for cotton fiber elongation by influencing brassinosteroid synthesis and signaling by Qiaoling Wang, Xingying Yan, Qi Niu, Hongju Zhang, Huidan Tian, Zheng Chen, Fan Xu, Yu You, Yinghui Gao, Zhiqing Qiao, Ming Luo

“…Cotton fiber is one of the longest plant cells and sphingolipids are closely associated with the development of cotton fiber cells. However, their function in cotton fiber cell development and its action mechanism is unclear. …”
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Proteomic analysis of plasma unravels dynamic pathways and potential biomarkers indicating disease stages following Mtb infection by Zonglei Zhou, Jie Tian, Yuying He, Haiyan Xiong, Weibing Wang

“…ABSTRACT Tuberculosis (TB) stages depend greatly on the interaction between Mycobacterium tuberculosis (Mtb) and the host response. As a non-negligible source of active tuberculosis (ATB), individuals with latent Mtb infection (LTBI) are insidious and hard to be detected due to limited biomarkers. …”
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High-throughput sequencing unravels placental vascular dysfunction and oxidative stress as mechanistic drivers of advanced maternal age-associated pregnancy by Xin Sun, Yao Chen, Feifei Hu, Yumeng Qiao, He Wu, Yao Su, Yue Hu, Jie Wu, Jie Wu, Mingli Huang

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Integrated assessment of soil quality and contaminant risks in salinized farmland adjacent to an oil-exploitation zone: insights from the Yellow River Delta by Xiaofan Xie, Jijin Cai, Xiaosong Yang, Hui Qiu, Yuexian Liu, Yuanxun Zhang

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Time Series Prediction Method of Clean Coal Ash Content in Dense Medium Separation Based on the Improved EMD-LSTM Model by Kai Cheng, Xiaokang Zhang, Keping Zhou, Chenao Zhou, Jielin Li, Chun Yang, Yurong Guo, Ranfeng Wang

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HERV-derived epitopes represent new targets for T-cell-based immunotherapies in ovarian cancer by Qing Wang, Maha Ayyoub, Olivia Le Saux, Paola Bonaventura, Isabelle Treilleux, Nicolas Chopin, Clarisse Dubois, Virginie Mutez, Nicolas Chuvin, Yann Estornes, Jenny Valladeau-Guilemond, Stephane Depil, Nicolas Gadot, Marie Michelas, Audrey Page, Olivier Tabone, Marie Delles, Sarah Moran, Thibault Richard, Marjorie Lacourrège, Dina M Tawfik, Ema Etchegaray, Adrian Valente, Rasha E Boulos, Gabriel Jimenez Dominguez

“…A specific immunopeptidomics approach was developed to detect epitopes on human leukocyte antigens (HLA) molecules. …”
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Morpho-Molecular and Genomic Characterization of <i>Penicillium mexicanum</i> Isolates Retrieved from a Forsaken Gold Mine by João Trovão, Fabiana Soares, Diana Sofia Paiva, António Portugal

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Predictive model for coronavirus disease 2019 severity based on blood biomarkers: a retrospective study by Liu Xiaoyan, Bao Zhongying, Duan Shuhong, Sun Jing, Zhang Yijie, Zhang Jie, Liu Jingxin

“…Emergency department data functioned as an independent external validation set to test the model’s generalizability.ResultsThe study included 1,007 patients, with 778 in the training set and 229 in the validation set. …”
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Apple leaf disease severity grading based on deep learning and the DRL-Watershed algorithm by Zhifang Bi, Fumin Ma, Jiaxiong Guan, Jie Wu, Juxia Li, Fuzhong Li, Yanwen Li, Zhanli Liu

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