Renal Recovery following Liposomal Amphotericin B-Induced Nephrotoxicity by Heather A. Personett, Bryce M. Kayhart, Erin F. Barreto, Pritish Tosh, Ross Dierkhising, Kristin Mara, Nelson Leung

“…Concomitant nephrotoxins, age, and pretreatment renal function did not modify this effect in multivariable analysis. …”
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Molecular pharmacology of coenzyme Q10 in the context of treatment of hyperlipidemic conditions by O. A. Gromova, I. Yu. Torshin

“…Topological and metric big data analysis methods were used developed in the scientific school of Academician of the Russian Academy of Sciences Yu.I. …”
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Introducing a Deep Neural Network Model with Practical Implementation for Polyp Detection in Colonoscopy Videos by Hajar Keshavarz, Zohreh Ansari, Hossein Abootalebian, Babak Sabet, Mohammadreza Momenzadeh

“…Considering the appropriate weight for each task in the total cost function is crucial in achieving the best results. …”
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The applications of CT with artificial intelligence in the prognostic model of idiopathic pulmonary fibrosis by Zeyu Chen, Zheng Lin, Zihan Lin, Qi Zhang, Haoyun Zhang, Haiwen Li, Qing Chang, Jianqi Sun, Feng Li

“…Recently, several studies attempted to build prognostic models by extracting predictive variates from pulmonary function data, basic information, or chest computed tomography (CT) and CT-derived parameters with clinical characteristics. …”
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SDFAC:software defined flow access control mechanism by Xiu-lei WANG, Guo-min ZHANG, Chao HU, Ming CHEN, Xiang-lin WEI

“…The software defined networking paradigm decouples control plane from data plane,offering flexible centralized control and fine grain flow management.Based on these advantages,a novel software defined access control mechanism SDFAC was proposed.Firstly,an analysis of the access control model was given from the flow granularity,and the precondition for the fine-grained access control was deduced from the model.Secondly,the framework and basic working process of the SDFAC was described.The flow authentication protocol was designed to support the function of SDFAC.Finally,the experiment results prove the feasibility and availability of SDFAC.…”
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Deciphering plant transcriptomes: Leveraging machine learning for deeper insights by Bahman Panahi, Rasmieh Hamid, Hossein Mohammad Zadeh Jalaly

“…This review addresses the integration of machine learning (ML) techniques in plant transcriptomics and emphasizes their potential to transform data analysis and interpretation. We analyzed different ML methods and their applications in the identification of differentially expressed genes (DEGs), the elucidation of functional annotations and the reconstruction of regulatory networks. …”
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Dimensionality Reduction Optimization of High Subsonic Unmanned Aerial Vehicles Intake by Zeqi QI, Zheng GUO, Suqi CHEN, Ke YU

“…To address the issue of excessive optimization dimensions caused by simultaneously altering both shapes, sensitivity analysis and principal component analysis (PCA) were applied, followed by dimensionality reduction using the Hicks-Henne function. …”
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Sociodemographic and health-related determinants for making repeated calls to a medical helpline: a prospective cohort study by Helle Collatz Christensen, Tom Møller, Mitti Blakoe, Hejdi Gamst-Jensen, My von Euler-Chelpin

“…In the mutually adjusted analysis associations decreased, however, odds ratios remained significantly decreased for callers with a household income in the middle (OR=0.71;95% CI 0.54 to 0.92) or highest (OR=0.68;95% CI 0.48 to 0.96) quartiles, whereas immigrants had borderline significantly increased OR (OR=1.34;95% CI 0.96 to 1.86) for making repeated calls.Conclusions Findings suggest that income and ethnicity are potential determinants of callers’ need to make additional calls within 48 hours to a medical helpline with triage function.…”
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Análisis discriminante y multivariado de la gestión financiera de los establecimientos bancarios según la Superintendencia Financiera de Colombia by José Andrés Bayona Soto, Genny Torcoroma Navarro Claro, Carlos Alberto Pacheco Sánchez

“…The type of quantitative research was established through the statistical analysis of the information, carrying out a statistical analysis of panel data for the period from 2016 to 2021, obtaining 4 clusters as a result, which ratifies the validation of the discriminant function, that is, that the groups have different variance-covariance matrices. …”
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PLCH1 overexpression promotes breast cancer progression and predicts poor prognosis through the ERK1/2-EGR1 axis by Jing Li, Fenge Jiang, Congcong Wang, Ping Sun, Lei Song, Jiannan Liu

“…Functional enrichment analyses, including Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment, were performed on differentially expressed genes using the clusterProfiler package. …”
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Cyclostationary Near-field Acoustic Holography for Gearboxes by Zhu Song, Zhang Erliang, Gao Xiaoyu

“…Finally, the effectiveness of the sound imaging method was justified by the simulation and experimental data.…”
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New aspects of pathogenesis of respiratory dysfunction in case of chronic rheumatic heart disease by G. S. Taktashov

“…Conclusion. Data received enable to define the criteria of early detection and forecast of course of the disturbance of the next lungs’ function: moisture separating, diffusion, conditioning and surfactant generating.…”
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Health related quality of life in patients having schizophrenia negative symptoms – a systematic review by Chiraz Azaiez, Aurélie Millier, Christophe Lançon, Emilie Clay, Pascal Auquier, Pierre-Michel Llorca, Mondher Toumi

“…Data synthesis: After applying inclusion/exclusion criteria, 49 studies were selected for the analysis of HRQoL instruments; however, none of these instruments only addressed patients with SNS. …”
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Forest Carbon Modeling Improved Through Hierarchical Assimilation of Pool‐Based Measurements by Yu Zhou, Christopher A. Williams

“…National forest inventory and analysis (FIA) data provide valuable pool‐based estimates of carbon stocks, but have been underutilized to inform carbon cycle modeling for forest carbon dynamics with stand development. …”
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Determinants of self-care behaviors in patients with knee osteoarthritis based on the theory of planned behavior in Iran by Mohammad Ali Morowatisharifabad, Sakineh Gerayllo, Zohreh Karimiankakolaki, Ali Dehghan, Hossein Soleymani Salehabadi, Hossein Fallahzadeh

“…Based on the results of Pearson correlation test, the self-care behaviors of knee OA had a statistically significant positive correlation with all constructs of the TPB (P < 0.05). Following data analysis, the constructs of the TPB predicted 8% of the variance of intention and 16.2% of the variance of OA self-care behaviors. …”
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Semantic processing of argument structure during naturalistic story listening: Evidence from computational modeling on fMRI by Tianze Xu, Jixing Li, Xiaoming Jiang

“…We analyzed naturalistic functional magnetic resonance imaging (fMRI) data from participants listening to a story, with a focus on subject noun phrase + verb chunks. …”
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DNAJC24 suppresses breast cancer malignancy and serves as a prognostic biomarker by Wenjing Meng, Wei Liu, Yulong Yang, Xiaorui Wang, Linlin Zhan, Yi Luo, Liwei Chen, Yu Wang, Guangtao Li, Yehui Shi, Yuchao He, Zhongsheng Tong, Hua Guo

“…Results Bioinformatics analysis of TCGA data demonstrated significantly lower DNAJC24 expression in breast cancer tissues compared to adjacent paracancer tissues (p < 0.001). …”
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Resting-State Network Plasticity Induced by Music Therapy after Traumatic Brain Injury by Noelia Martínez-Molina, Sini-Tuuli Siponkoski, Linda Kuusela, Sari Laitinen, Milla Holma, Mirja Ahlfors, Päivi Jordan-Kilkki, Katja Ala-Kauhaluoma, Susanna Melkas, Johanna Pekkola, Antoni Rodríguez-Fornells, Matti Laine, Aarne Ylinen, Pekka Rantanen, Sanna Koskinen, Benjamin Ultan Cowley, Teppo Särkämö

“…Traumatic brain injury (TBI) is characterized by a complex pattern of abnormalities in resting-state functional connectivity (rsFC) and network dysfunction, which can potentially be ameliorated by rehabilitation. …”
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Financial stability and monetary policy rules: evidence from Tunisia by Dorra TURKI, Rima LAJNAF

“…Our findings indicate a significant and positive impact of this variable on the monetary policy reaction function. Furthermore, our analysis highlights the ability of monetary policy to effectively balance the trade-off between its dual objectives of price and financial stability.…”
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Consensus-based optimisation with truncated noise by Massimo Fornasier, Peter Richtárik, Konstantin Riedl, Lukang Sun

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