Predicting the subclinical carotid atherosclerosis in overweight and obese patients using a machine learning model by D. V. Gavrilov, T. Yu. Kuznetsova, M. A. Druzhilov, I. N. Korsakov, A. V. Gusev

“…There were following inclusion criteria: age ≥18 years, body mass index ≥25 kg/m2, availability of data on ultrasound of extracranial arteries. Patients with hypertension, diabetes and/or CVD were excluded from the analysis. …”
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Understanding the Impacts of Rainfall Variability on Natural Forage–Livestock Dynamics in Arid and Semi-Arid Environments by Thabo S. Nketsang, Semu Mitiku Kassa, Moatlhodi Kgosimore, Gizaw Mengistu Tsidu

“…By employing a mathematical model based on plant–herbivore interactions, this article quantitatively evaluates the impact of changes in rainfall timing and intensity on forage biomass and, subsequently, livestock populations. A robust analysis of critical threshold values for ecosystem sustainability is possible when real-world climate data are incorporated. …”
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Determination of the frequency of sarcopenia in patients admitted with COPD diagnosis with the SARC-F survey by Çagri Besnek, Burcu Akkok, Hatice Sahin, Murat Sahin, Nurhan Atilla, Hasan Kahraman

“…The significance value was accepted as p < 0.05 in the statistical analysis of the study’s data. Results The data from 130 participants were analyzed in the study. …”
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Targeted interactomics reveals a complex core cell cycle machinery in Arabidopsis thaliana by Jelle Van Leene, Jens Hollunder, Dominique Eeckhout, Geert Persiau, Eveline Van De Slijke, Hilde Stals, Gert Van Isterdael, Aurine Verkest, Sandy Neirynck, Yelle Buffel, Stefanie De Bodt, Steven Maere, Kris Laukens, Anne Pharazyn, Paulo C G Ferreira, Nubia Eloy, Charlotte Renne, Christian Meyer, Jean‐Denis Faure, Jens Steinbrenner, Jim Beynon, John C Larkin, Yves Van de Peer, Pierre Hilson, Martin Kuiper, Lieven De Veylder, Harry Van Onckelen, Dirk Inzé, Erwin Witters, Geert De Jaeger

“…Over 100 new candidate cell cycle proteins were predicted and an in‐depth biological interpretation demonstrated the hypothesis‐generating power of the interaction data. The data set provided a comprehensive view on heterodimeric cyclin‐dependent kinase (CDK)–cyclin complexes in plants. …”
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Effective adsorptive removal of triclosan from water using bio-nanocomposite hydrogel beads by Vuyo Moses Mollo, Vuyo Moses Mollo, Mthokozisi Mnguni, Mthokozisi Mnguni, Diseko Boikanyo, Philiswa Nosizo Nomngongo, Philiswa Nosizo Nomngongo, James Ramontja

“…Basic pH conditions were suitable for removing triclosan in aqueous solutions via hydrogen bonding with the carboxyl functional groups of the bio-nanocomposite beads. The pseudo-second order, Freundlich, and Sips models better explained the adsorption kinetics and equilibrium isotherm data. …”
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Construction of a diagnostic model utilizing m7G regulatory factors for the characterization of diabetic nephropathy and the immune microenvironment by Jingying Zhong, Pengli Xu, Xuanyi Li, Meng Wang, Xuejun Chen, Huiyu Liang, Zedong Chen, Jing Yuan, Ya Xiao

“…N7-Methylguanosine (m7G) modification plays a crucial role in regulating RNA structure and function, linking it closely to metabolic disorders. …”
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C1qtnf6 Expression as a Prognostic Biomarker and Therapeutic Target in Lung Adenocarcinoma: Implications for Immune Infiltration and Tumor Progression by Qincai Li, Hua Zhang, Hai Yun‐Liu, Peifeng Zheng, Xiaogang Xu

“…Methods We used The Cancer Genome Atlas (TCGA) dataset to analyze data on lung cancer. The relationship between C1qtnf6 expression and treatment outcomes in patients with LUAD was evaluated using a Kaplan–Meier survival analysis. …”
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The influence of bronchial asthma control level on the quality of life indices by O. V. Herasymova, T. L. Protsiuk, L. O. Protsiuk, N. M. Surkova, L. D. Kotsur, O. V. Kuleshov

“…Specific quality of life was evaluated using specific quality of life questionnaire for the children ill with bronchial asthma – PAQLQ (Pediatric Asthma Quality of Life Questionnaire). Statistical analysis of the data obtained was done by variance statistical methods using the standard program package of multivariate statistical analysis Statistica 6.0 Results. …”
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T cell-related diagnostic model and the underlying mechanism related to PRF1-mediated glycolysis in sepsis: evidences from single-cell, bulk transcriptomics, and experiment validat... by Fu Tian, Hui Chen, Zhicheng Huang, Kai Qiu

“…Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) were used for the function and pathways enrichment analysis. Metabolic flux analysis was performed to investigate the underlying metabolic mechanism. …”
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Single-cell and spatial transcriptomics reveals the key role of MCAM + tip-like endothelial cells in osteosarcoma metastasis by Haijun Tang, Yangjie Cai, Mingxiu Yang, Shengping Tang, Qian Huang, Hening Li, Shangyu Liu, Hongcai Teng, Tianyu Xie, Maolin He, Yun Liu, Shijie Liao

“…In conclusion, tip-like ECs may promote tumor metastasis by enhancing angiogenesis. MCAM was a functional gene for tip-like ECs and could serve as a target for the treatment of osteosarcoma.…”
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Needs and access to health services by people in post-COVID-19 Condition in Brazil: a qualitative study by Kelly Laste Macagnan, Teila Ceolin, Caroline Vasconcellos Lopes, Vanessa de Araujo Marques, Juliana Graciela Vestena Zillmer

“…Data were organized using the IRAMUTEQ software and analyzed through content analysis. …”
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ZNF146 accelerates lung adenocarcinoma progression through MDM2/p53 and PHGDH/ferroptosis by Junkan Zhu, Shencheng Ren, Yanjun Yi, Zhiyao Wu, Han Lin, Guangyao Shan, Xiaolong Huang, Binyang Pan, Zhengyang Hu, Qihai Sui, Cheng Zhan, Shuai Wang, Jiaqi Liang

“…Results Through an extensive analysis of expression data from over a thousand LUAD samples, we identified zinc finger protein 146 (ZNF146) as a transcription factor significantly overexpressed in LUAD, closely associated with poor patient outcomes. …”
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Therapeutic Targeting of Decr1 Ameliorates Cardiomyopathy by Suppressing Mitochondrial Fatty Acid Oxidation in Diabetic Mice by Qing‐Bo Lu, He‐Ting Sun, Kuo Zhou, Jia‐Bao Su, Xin‐Yu Meng, Guo Chen, Ao‐Yuan Zhang, An‐Jing Xu, Chen‐Yang Zhao, Yuan Zhang, Yao Wang, Hong‐Bo Qiu, Zhuo‐Lin Lv, Zheng‐Yang Bao, Jian Zhu, Feng Xiao, Xue‐Xue Zhu, Hai‐Jian Sun

“…Furthermore, RNA sequencing and functional analysis showed that Decr1 interacted with and upregulated pyruvate dehydrogenase kinase 4 (PDK4) in injured cardiomyocytes, and overexpression of PDK4 eliminated the benefits of Decr1 downregulation in DCM (−20% for EF, p = 0.0071; −28% for FS, p = 0.0022). …”
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DIABETES MELLITUS 2ND TYPE WITH CARDIOVASCULAR AUTONOMIC NEUROPATHY by V. A. Serhiyenko, A. A. Serhiyenko

“…Totally 48 patients studied with DM2, of those 12 without verified cardiovascular diseases (CVD), 36 patients with functional stage of CAN, age 50-59 y., DM2 1-6 y. duration, HbA1c 7,1±0,6%. …”
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Heterogeneity of T cells regulates tumor immunity mediated by Helicobacter pylori infection in gastric cancer by Zhisheng Wu, Xinya Wang, Shujing Shi, Deyuan Kong, Chuanli Ren, Lijun Bian, Yuanliang Gu, Fangmei An, Qiang Zhan, Caiwang Yan, Chupeng Hu, Yun Chen, Runqiu Jiang, Jinfei Chen

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Abstract 261: Mechanical thrombectomy in patients with large‐territory acute ischemic stroke requiring a decompressive hemicraniectomy by Junaid Ansari, Pedro Simoncini, Waddih Fakhre, Mohammad Sheikh, Brooke Bocklud, Sydney Moore, Muhammad Abubakar, Joshua Caskey, James Bridges, Patrick Juneau, Nimer Abushehab, Hugo Cuellar, Bharat Guthikonda

“…Conclusion In the overall analysis of all individuals with complete outcome data, none of the variables (DHC receipt, MT receipt, tPA receipt) were significantly associated with mRS at discharge. …”
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Dynamic relationship between gut microbiota and post-necrotizing pancreatitis: insights from a multi-stage 16S rRNA sequencing study by Jiongdi Lu, Jiongdi Lu, Zhe Wang, Zhe Wang, Feng Cao, Feng Cao, Jia Li, Guofeng Ji, Guofeng Ji, Fei Li, Fei Li

“…Gut microbial diversity and composition were assessed using 16S rRNA sequencing, followed by bioinformatic analyses such as Alpha and Beta diversity metrics, linear discriminant analysis effect size (LEfSe), and functional pathway predictions. …”
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Modeling of Battery Storage of Photovoltaic Power Plants Using Machine Learning Methods by Rad Stanev, Tanyo Tanev, Venizelos Efthymiou, Chrysanthos Charalambous

“…Also, as part of the deep learning FNN analysis study, a customized early stopping function is introduced. …”
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Detecting and reducing heterogeneity of error in acoustic classification by Oliver C. Metcalf, Jos Barlow, Yves Bas, Erika Berenguer, Christian Devenish, Filipe França, Stuart Marsden, Charlotte Smith, Alexander C. Lees

“…We recommend assessing—and if necessary correcting for—heterogeneity of precision error when using automated classification on acoustic data to quantify species presence as a function of an environmental, spatial or temporal predictor variable.…”
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Analisis Kinerja Sistem Informasi Dewan Perwakilan Rakyat Republik Indonesia Berdasarkan Persepsi Masyarakat Menggunakan Metode Heuristics Evaluation by Alfriyanto Nahas, Hustinawati

“…Heuristics Evaluation Method is a method that has the function of knowing the level of usability. This test data is from filling out questionnaires by respondents with a minimum education category of high school graduates (SMA/equivalent). …”
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