DEVELOPMENT OF THE CONCEPT OF SUBSIDIARY LIABILITY AS A TOOL TO INCREASE THE EFFECTIVENESS OF THE INSTITUTION OF BANKRUPTCY AND ENSURE THE ECONOMIC SECURITY OF THE COUNTRY by V. N. Alferov, M. M. Korigova

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Frailty, quality of life and nutritional status for the prediction of morbidity and mortality in individuals with chronic heart failure in southern Brazil (FPROHEART): a cohort stu... by Lívia Adams Goldraich, Nadine Clausell, Daniela Meirelles do Nascimento, Pâmela Iná Wolffenbüttel, Beatriz Schaan

“…Nutritional disorders, such as malnutrition, are common in patients with HF and contribute to functional decline and increased mortality. The Meta-Analysis Global Group in Chronic HF (MAGGIC) risk score was developed to predict 1-year and 3-year hospitalization and mortality in patients with HF. …”
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Coexpressed Genes That Promote the Infiltration of M2 Macrophages in Melanoma Can Evaluate the Prognosis and Immunotherapy Outcome by Kexin Yan, Yutao Wang, Yuxiu Lu, Zhangyong Yan

“…The model’s essential genes were analyzed using functional enrichment, GSEA, and subgroup and total carcinoma. …”
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Narciclasine enhances cisplatin-induced apoptotic cell death by inducing unfolded protein response-mediated regulation of NOXA and MCL1 by Ji Hae Lee, Seung Hee Seo, Jaegal Shim, Yong-Nyun Kim, Kyungsil Yoon

“…After conducting bioinformatic analysis using RNA sequencing data and functional validation experiments, we identified NOXA as a key gene responsible for the enhanced apoptosis observed with the combination of cisplatin and narciclasine. …”
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Identification of new diagnostic targets for hepatitis B virus‐induced liver fibrosis by Ying Wang, Shuo Qin, Meng Yang, Xiaoling Wang

“…Conclusions Bioinformatics analysis of the transcriptome sequencing data in the GSE171294 dataset identified CD4, NR3C1, and EZR and other genes at key nodes as new targets for the treatment of liver fibrosis caused by HBV. …”
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Elucidating the role of KCTD10 in coronary atherosclerosis: Harnessing bioinformatics and machine learning to advance understanding by Xiaomei Hu, Fanqi Liang, Man Zheng, Juying Xie, Shanxi Wang

“…Functional assays highlighted KCTD10’s role in enhancing viral defense mechanisms, cytokine production, and immune cascades. …”
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Construction and initial validation of the International Trauma Questionnaire – Caregiver Version (ITQ-CG): assessing ICD-11 PTSD and CPTSD in children from caregiver perspective by Alexander Haselgruber, Dina Weindl-Wagner, Andrea Zagaria, Karin Zajec, Judith Noske, Brigitte Lueger-Schuster

“…Excluding patients due to missing data or no trauma exposure, a final sample of 223 patients was analysed. …”
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MCM4 as Potential Metastatic Biomarker in Lung Adenocarcinoma by Hung-Chih Lai, Ju-Fang Liu, Tsung-Ming Chang, Thai-Yen Ling

“…Functional enrichment of DEGs was analyzed using Gene Ontology, Kyoto Encyclopedia of Genes and Genomes analysis, and a Cancer Hallmark Enrichment Plot. …”
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Abstract 219: Determining the Proportion of Patients with Poor Premorbid mRS presenting with Large Volume Stroke by Madheea Siddiqi

“…Cases presenting with ASPECTS<6 as assigned by a neuroradiologist were identified. Functional outcome data, as defined by mRS, was obtained prior to the acute presenting event (premorbid mRS) and on discharge (outcome mRS). …”
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Machine Learning-Driven Identification of Exosome-Related Genes in Head and Neck Squamous Cell Carcinoma for Prognostic Evaluation and Drug Response Prediction by Hua Cai, Liuqing Zhou, Yao Hu, Tao Zhou

“…The diagnostic model showed excellent predictive accuracy through external data GSE83519 validation. <b>Results</b>: This analysis highlighted 22 genes with significant differential expression. …”
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Qalification assessment practices: new possibilities and constraints by M. N. Kicherova, M. Yu. Semenov, E. V. Zyuban

“…The methodological framework of the research is based on the principles of the activity approach and the concept of structuration, in which the practice of qualifications assessment is viewed as a combination of social relations between individual and collective actors in the space of social and labour relations. Data collection and analysis was carried out using a qualitative methodology of the sociological approach. …”
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Research on soybean leaf disease recognition in natural environment based on improved Yolov8 by Chen Chen, Chen Chen, Xiaolei Lu, Lei He, Lei He, Ruoxue Xu, Ruoxue Xu, Yi Yang, Yi Yang, Jing Qiu, Jing Qiu

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A deep learning-orchestrated garlic routing architecture for secure telesurgery operations in healthcare 4.0 by Kavit Shah, Nilesh Kumar Jadav, Rajesh Gupta, Sucheta Gupta, Sudeep Tanwar, Joel J.P.C. Rodrigues, Fayez Alqahtani, Amr Tolba

“…The proposed architecture is evaluated using different evaluation metrics, such as statistical analysis (training accuracy, training loss, optimizer performance, activation function performance), data compromisation rate (0.346), network throughput (1.44 Mbps), error rate, and latency comparison.…”
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New multifactor spatial prediction method based on Bayesian maximum entropy by YANG Yong, ZHANG Chutian, HE Liyuan

“…The main objective is to incorporate the results of classical geostatistics and quantitative soil-landscape model in the BME framework.The result of ordinary Kriging was taken as the priori probability density function (pdf), as well as the sampling data as hard data, and the results of environmental correlation as soft data. …”
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ML‐UrineQuant: A machine learning program for identifying and quantifying mouse urine on absorbent paper by Warren G. Hill, Bryce MacIver, Gary A. Churchill, Mariana G. DeOliveira, Mark L. Zeidel, Marcelo Cicconet

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Optimizing mouse metatranscriptome profiling by selective removal of redundant nucleic acid sequences by Morgan Roos, Samuel Bunga, Asako Tan, Erica Maissy, Dylan Skola, Alexander Richter, Daniel S. Whittaker, Paula Desplats, Amir Zarrinpar, Rick Conrad, Scott Kuersten

“…ABSTRACT Metatranscriptome (MetaT) sequencing is a critical tool for profiling the dynamic metabolic functions of microbiomes. In addition to taxonomic information, MetaT also provides real-time gene expression data of both host and microbial populations, thus permitting authentic quantification of the functional (enzymatic) output of the microbiome and its host. …”
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Validation of a Set of Clinical Criteria for the Diagnosis of Secondary Progressive Multiple Sclerosis by Alin Ciubotaru, Daniel Alexa, Cristina Grosu, Lilia Böckels, Ioana Păvăleanu, Alexandra Maștaleru, Maria Magdalena Leon, Roxana Covali, Emanuel Matei Roman, Cătălina Elena Bistriceanu, Cristina Mihaela Ghiciuc, Doina Azoicăi, Emilian Bogdan Ignat

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Real-world assessment of listener preference for hearing aid technology levels in socially involved situations by Danielle Glista, Danielle Glista, Robin O'Hagan, Krystal Beh, Jeffery Crukley, Jeffery Crukley, Jeffery Crukley, Susan Scollie, Susan Scollie, Leonard Cornelisse

“…Mixed methods were used to analyze the data, including Bayesian analyses for preference data and content analysis for text-based survey responses, including the use of the International Classification of Functioning, Disability and Health to guide activity categorization.ResultsAcross a wide variety of categorized activities, participants demonstrated a preference for mid- to high-level hearing aid technologies when compared to the lowest level. …”
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Relevansi konsep pemikiran pendidikan dan kebudayaan George S. Counts dan Ki Hajar Dewantara dengan kompetensi peserta didik abad 21 by Sekar Purbarini Kawuryan

“…This research conducted a literature study using the content analysis approach. Data in the form of primary and secondary sources. …”
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ECONOMIC GROWTH UNDER THE INFLUENCE OF TECHNICAL AND TECHNOLOGICAL CHANGES OF INDUSTRY 5.0 by Kateryna Kraus, Nataliia Kraus, Yuliia Radzikhovska

“…Additionally, it examines the shift in the position of the production function curve under the influence of technical progress and technological advancement towards Industry 5.0. …”
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