Albumin Levels before Therapy and Clinicopathological Parameters of Lung Cancer Patients by Erna Kusumawardhani, Nor Fiayanti Hadiani

“…Highlights • A notable finding was the significant relationship between albumin levels and ECOG scores, emphasizing the potential of albumin as an indicator of functional status in lung cancer patients. • The research provided a comprehensive analysis of the correlation between albumin levels and various clinicopathological conditions.   …”
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Poisson random measure noise-induced coherence in epidemiological priors informed deep neural networks to identify the intensity of virus dynamics by Saima Rashid, Ayesha Siddiqa, Fekadu Tesgera Agama, Nazeran Idrees, Mohammed Shaaf Alharthi

“…The study depends on two functional scenarios to quantitatively clarify the theoretical results. …”
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Genetic susceptibility loci, pesticide exposure and prostate cancer risk. by Stella Koutros, Sonja I Berndt, Kathryn Hughes Barry, Gabriella Andreotti, Jane A Hoppin, Dale P Sandler, Meredith Yeager, Laurie A Burdett, Jeffrey Yuenger, Michael C R Alavanja, Laura E Beane Freeman

“…Uncovering SNP (single nucleotide polymorphisms)-environment interactions can generate new hypotheses about the function of poorly characterized genetic variants and environmental factors, like pesticides. …”
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Cognitive recovery assessment in patients after desflurane versus sevoflurane-based general anaesthesia: A randomised, comparative, double-blinded study by Ankita Verma, Nidhi Arun, Annu Choudhary, Md Parwaj H. Ansari

“…Background and Aims: Recovery after general anaesthesia (GA) may vary depending on personal factors and the type of anaesthetic agent used. The primary objective of this study was to compare the recovery profiles of cognitive functions following desflurane- and sevoflurane-based GA in terms of the time required for cognitive functions to return to their baseline values. …”
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Sensory profiles in older adults with orthopedic conditions during quiet stance: a cross-sectional study by Marine Brika, France Mourey, Alexandre Kubicki

“…Exploratory factor analysis was used to identify common factors among the variables. …”
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Measuring trust in artificial intelligence: validation of an established scale and its short form by Melanie J. McGrath, Oliver Lack, James Tisch, Andreas Duenser

“…An understanding of the nature and function of human trust in artificial intelligence (AI) is fundamental to the safe and effective integration of these technologies into organizational settings. …”
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Clinical characteristics of gastroesophageal reflux disease in adolescents with diabetic cardiac autonomic neuropathy by Sergey Evgen'evich Kostyakov, Irina Leonidovna Alimova

“…08:00) periods to eliminate the influence of exogenous factors (such as eating, physical activity and change of body position) on the oesophageal kinetic function. …”
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Multidisciplinary DRG management for rational medication in obstetrics: a cost analysis in Zhejiang Province by Qiqin Zhang, Geer Zhang, Shuangneng Yang, Meng Zhang, Shujuan Shu, Mengdan Zhao

“…Subsequently, we employed Spearman correlation and Kruskal-Wallis H tests to identify key cost drivers. Finally, we applied a generalized linear model with gamma distribution and log-link function to determine key factors influencing medical costs. …”
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Moesin Is a Novel Biomarker of Endothelial Injury in Sepsis by Yikun Chen, Jiajia Wang, Lei Zhang, Jianjie Zhu, Yuanyuan Zeng, Jian-an Huang

“…The impact of MSN silencing on LPS-altered Rock1/myosin light chain (MLC), NF-κB, and inflammatory factors in human microvascular endothelial cells (HMECs), as well as monolayer HMEC permeability, was tested in vitro. …”
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Investigation and Comparison of Communication Network and Expression of KLF4 and POU5F1 Genes During Spermatogenesis by Maedeh Yazdani Dizicheh, Hossein Azizi, Dariush Gholami, Amir Khaki

“…KLF4 and POU5F1 are transcription factors expressed in a wide range of tissues and play key roles in such processes as apoptosis, differentiation, proliferation, and cellular development. …”
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The Triglyceride–Glucose Index, a Marker of Insulin Resistance, Is Associated with the Myocardial Performance Index in Asymptomatic Subjects by Necip Nas, Muzaffer Aslan, Semih Saglik, Hafize Uzun

“…In univariate regression analysis, obesity, the presence of MetS, serum TG, and the TyG index were identified as risk factors. In multivariate regression analysis, the TyG index was found to be the independent risk factor. …”
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Reducing dependence of modeled resuspended volcanic ash on meteorological grid resolution by Alice M. Crawford, Christopher P. Loughner, Daniel Q. Tong, Ariel F. Stein

“…Scaling factors for emissions were estimated using a cumulative distribution function (CDF) matching technique. …”
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Would older adults with mild cognitive impairment adhere to and benefit from a structured lifestyle activity intervention to enhance cognition?: a cluster randomized controlled tri... by Linda Chiu-Wa Lam, Wai Chi Chan, Tony Leung, Ada Wai-Tung Fung, Edward Man-Fuk Leung

“…Multilevel normal model and linear link function showed improvement in ADAS-Cog, delayed recall and CVFT with time (p<0.05). …”
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A cross-tissue transcriptome-wide association study reveals GRK4 as a novel susceptibility gene for COPD by Guanglei Chen, Yaxian Jin, Cancan Chu, Yuhao Zheng, Changfu Yang, Yunzhi Chen, Xing Zhu

“…Initially, we performed a cross-tissue TWAS analysis using the Unified Test for Molecular Signatures (UTMOST), followed by validation of the UTMOST findings in single tissues using the Functional Summary-based Imputation (FUSION) method and conditional and joint (COJO) analyses of the identified genes. …”
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The Prognostic Value and Potential Mechanism of Tumor-Nutrition-Inflammation Index and Genes in Patients with Advanced Lung Cancer by Huan Wang, Yuting Shi, Yueli Shi, Mengqing Cao, Long Zhang, Yuan Wu, Yun Xu, Kai Wang, Xianwu Weng

“…The optimized cut-off values of AGR and SIRI (AGR = albumin/globulin; SIRI = neutrophil ∗ monocyte/lymphocyte) were determined by survival function analysis based on R software. COX regression analysis was performed to obtain the independent factors for establishing the nomogram model. …”
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Monitoring SARS-CoV-2 seroprevalence over time among pregnant women admitted to delivery units: Suitability for surveillance. by Mariana Yumi Miyadahira, Maria de Lourdes Brizot, Neal Alexander, Ester Cerdeira Sabino, Lea Campos de Oliveira da Silva, Mara Sandra Hoshida, Ana Maria da Silva Sousa Oliveira, Ana Claudia Silva Farche, Rossana Pulcineli Vieira Francisco, Philippe Mayaud

“…Risk factors were evaluated for positivity by each assay. …”
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Exploring the Time to Onset and Early Predictors of Poststroke Spasticity Combined With Surface Electromyography: Protocol for a Nested Case-Control Study by Simeng Song, Shiliang Wang, Shanshan Zeng, Wenqing Wu, Lingying Wu, Xukun Tang, Xiongxing Sun, Dahua Wu, Le Xie

“…Data with normal distribution were analyzed using the t test, while data with nonnormal distribution were analyzed using the rank-sum test; categorical data were analyzed using the chi-square test, rank-sum test, or Fisher exact test. …”
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Efficacy of Nirmatrelvir tablet/Ritonavir tablet in patients infected with COVID-19 aged 90 years and older by WEI Xueman, ZHANG Jingxiang, LIU Tan

“…A retrospective research method was employed to gather and compare patitents’ clinical laboratory data before and after antiviral treatment, such as blood routine tests, inflammatory markers, coagulation function tests, liver and renal function tests, electrolyte levels, and blood gas analysis, between the drug group and the control group. …”
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Hepatic Epithelioid Hemangioendothelioma and the Danger of Misdiagnosis: Report of a Case by Kyriakos Neofytou, Andreas Chrysochos, Nikolas Charalambous, Menelaos Dietis, Christos Petridis, Charalampos Andreou, Athanasios Petrou

“…The presence of normal laboratory values, liver function tests, tumor markers along with the absence of a chronic liver disease, or any other predisposing factors for HCC, was in contrast with the diagnosis of HCC. …”
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Cardiomyocyte-specific knockout of ADAM17 alleviates doxorubicin-induced cardiomyopathy via inhibiting TNFα–TRAF3–TAK1–MAPK axis by Lin Xie, Fei Xue, Cheng Cheng, Wenhai Sui, Jie Zhang, Linlin Meng, Yue Lu, Wenjing Xiong, Peili Bu, Feng Xu, Xiao Yu, Bo Xi, Lin Zhong, Jianmin Yang, Cheng Zhang, Yun Zhang

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