Liver Stiffness, Not Fat Liver Content, Predicts the Length of QTc Interval in Patients with Chronic Liver Disease by Mattia Bellan, Cristina Rigamonti, Greta Maria Giacomini, Giulio Makmur, Cecilia Marconi, Francesco Nicosia, Antonio Panero, Carla De Benedittis, Michela E. Burlone, Rosalba Minisini, Mario Pirisi

“…Furthermore, QTc values (after logarithmic transformation) were predicted by a model including age, gender, HR, and LS (F=14.1, R2=0.198, p<0.001). …”
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Analytical Solutions for Unsteady Thin Film Flow with Internal Heating and Radiation by Ahsan Ali Naseer, Muhammad Safdar, Safia Taj, Muhammad Umair Ali, Amad Zafar, Kwang Su Kim, Jong Hyuk Byun

“…The homotopy analysis method is employed to analytically solve the reduced system of equations. …”
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Meta-analyses of the effects of high-intensity interval training in elite athletes—part I: mean effects on various performance measures by Hans-Peter Wiesinger, Hans-Peter Wiesinger, Hans-Peter Wiesinger, Thomas Leonard Stöggl, Thomas Leonard Stöggl, Nils Haller, Nils Haller, Julia Blumkaitis, Tilmann Strepp, Francesca Kilzer, Anna Schmuttermair, Will G. Hopkins

“…IntroductionMeta-analysts have found that high-intensity interval training (HIIT) improves physical performance, but limited evidence exists regarding its effects on highly trained athletes, measures beyond maximum oxygen uptake (V˙O2max), and the moderating effects of different types of HIIT. In this study, we present meta-analyses of the effects of HIIT focusing on these deficits.MethodsThe effects of 6 types of HIIT and other moderators were derived from 34 studies involving highly trained endurance and elite athletes in percent units via log-transformation from separate meta-regression mixed models for sprint, time–trial, aerobic/anaerobic threshold, peak speed/power, repeated-sprint ability, V˙O2max, and exercise economy. …”
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Similarity Measures of Sequence of Fuzzy Numbers and Fuzzy Risk Analysis by Zarife Zararsız

“…We present the methods to evaluate the similarity measures between sequence of triangular fuzzy numbers for making contributions to fuzzy risk analysis. …”
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Assessing the application of landmark-free morphometrics to macroevolutionary analyses by James M. Mulqueeney, Thomas H. G. Ezard, Anjali Goswami

“…Abstract The study of phenotypic evolution has been transformed in recent decades by methods allowing precise quantification of anatomical shape, in particular 3D geometric morphometrics. …”
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Unraveling Algerian bat coronaviruses: from initial detection to genome recovery and co-infection discovery by Dr Safia Zeghbib, Zsófia Tauber, Dr Tamás Görföl, Karimane Malek Zeghbib, Dr Mourad Ahmim, Dr Gábor Kemenesi

“…Subsequently, PCR amplicons were cloned into pGEM-T Easy vectors, transformed into E. coli, and screened via blue/white screening. …”
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Households willingness to join and pay for community-based health insurance: implications for designing community-based health insurance based on economic Status in Ethiopia. by Zewdie Birhanu, Morankar Sudhakar, Mohammed Jemal, Desta Hiko, Shabu Abdulbari, Bikiltu Abdisa, Badassa Wolteji Chala, Getnet Mitike, Tigist Astale, Nimona Berhanu

“…Among these challenges is the current practice where premium contributions to Community Based Health Insurance are either a flat rate or based solely on family size, rather than considering households' socio-economic status The overall aim of this study was to assess households' willingness to join and pay for Community Based Health Insurance in reference to socio-economic status to design sliding scale-based Community Based Health Insurance contributions in Ethiopia.<h4>Methods</h4>A community based cross-sectional study was conducted in districts from two different contexts: urban areas and agrarian areas in two major regions in Ethiopia, namely Oromia, and Amhara. …”
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Value of intraoperative post-conisation human papillomavirus testing in predicting residual or recurrence after treatment with a loop electrosurgical excision procedure in women wi... by Weiting Xia, Xinyue Dai, Yan Hu, Simeng Yang, Chen Chen, Xiaolin Li

“…Further stratified analyses were performed to investigate the differences in prognosis of IOP-HPV positivity in patients of different age and menopausal status. …”
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Relative fat mass and risk of metabolic dysfunction associated steatotic liver disease and severe hepatic steatosis in U.S. adults: analysis of NHANES 2017–2020 data by Jianjun Wang, Wei He, Xianfu Cai, Zhaohui Hu, Yonghai Peng, Xi Chen, Pei Yang, Xintao Zeng, Sirui Chen, Decai Wang

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Exploring drought hazard, vulnerability, and related impacts on agriculture in Brandenburg by F. Brill, P. H. L. Alencar, H. Zhang, F. Boeing, F. Boeing, S. Hüttel, S. Hüttel, T. Lakes, T. Lakes

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Radiomic study on preoperative multi‐modal magnetic resonance images identifies IDH‐mutant TERT promoter‐mutant gliomas by Haoyu Wang, Shuxin Zhang, Xiang Xing, Qiang Yue, Wentao Feng, Siliang Chen, Jun Zhang, Dan Xie, Ni Chen, Yanhui Liu

“…Abstract Objectives Gliomas with comutations of isocitrate dehydrogenase (IDH) genes and telomerase reverse transcriptase (TERT) gene promoter (IDHmut pTERTmut) show distinct biological features and respond to first‐line treatment differently in comparison with other gliomas. This study aimed to characterize the IDHmut pTERTmut gliomas in multimodal MRI using the radiomic method and establish a precise diagnostic model identifying this group of gliomas. …”
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Examining Healthcare Practitioners&rsquo; Perceptions of Virtual Physicians, mHealth Applications, and Barriers to Adoption: Insights for Improving Patient Care and Digital Health... by Alzghaibi H

“…Haitham Alzghaibi Department of Health Informatics, College of Applied Medical Sciences, Qassim University, Buraydah, Saudi ArabiaCorrespondence: Haitham Alzghaibi, Email halzghaibi@qu.edu.saIntroduction: Mobile health (mHealth) applications have transformed healthcare by enhancing access to medical information, facilitating remote consultations, and improving patient engagement. …”
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Global burden of disease changes related to high red meat diets and breast cancer from 1990 to 2021 and its prediction up to 2030 by Yujun Tong, Hong Ning, Zhen Zhang, Xiaohong Zhang, HongMei Tu, Min Yang, Xiaoan Li, Tiantian Liang

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Use of Artificial Intelligence, Internet of Things, and Edge Intelligence in Long-Term Care for Older People: Comprehensive Analysis Through Bibliometric, Google Trends, and Conten... by Shuo-Chen Chien, Chia-Ming Yen, Yu-Hung Chang, Ying-Erh Chen, Chia-Chun Liu, Yu-Ping Hsiao, Ping-Yen Yang, Hong-Ming Lin, Tsung-En Yang, Xing-Hua Lu, I-Chien Wu, Chih-Cheng Hsu, Hung-Yi Chiou, Ren-Hua Chung

“…Integrating artificial intelligence (AI), the Internet of Things (IoT), and edge intelligence (EI) offers transformative potential to enhance care quality, improve safety, and streamline operations. …”
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Geospatial analysis of immunisation outcomes in Nigeria using a Bayesian geostatistical approach and an interactive dashboard by Chijioke Kaduru, Idim Godwin, Olamide Akeboi, Karinate Cyril-Egware, Sharon Uzoma, Maduekwe Vivian, Ebuka Nwafia, Oshodi Esther, Tijjani Habib, Shehu Abdullahi, Rehanat Amusu, Jedydah Atieno, Koko Aadum, Ojonimi Alfred, Geraldine Mbagwu, Ganiyat Eshikhena, Ugomma Nyananyo, Josephina Obande, Ezra Gayawan

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Untargeted metabolomics reveals the metabolic characteristics and biomarkers of obstetric antiphospholipid syndrome and undifferentiated connective tissue disease by Siyin Li, Juan Shi, Xiaofang Shu, Xuemin Jian, Jinmei Zou, Jing Yang

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Prognostic value of albumin-corrected anion gap in critically ill patients with sepsis-associated liver injury: a retrospective study by Jianjun Wang, Yonghai Peng, Zhaohui Hu, Xi Chen, Sirui Chen, Pei Yang, Xintao Zeng, Decai Wang

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Reallocating 24-hour movement behaviors and its impact on mental health in preschool children: a compositional data and dose-response analysis by Tian Wang, Junyu Wang, Xuelin Lu, Xuhui Chen, Lanzhi Chen, Yixin Liang, DongQing Yang, Yanmei Shi, Rui Li, Yong Yang, Beibei Luo, Jie Zhuang

“…Methods In this cross-sectional study, 828 Chinese preschool children aged 3 to 6 years were assessed. …”
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Peningkatan Akurasi Metode Weighted Fuzzy Time Series Forecasting Menggunakan Algoritma Evolusi Differensial dan Fuzzy C-Means by Agus Fachrur Rozy, Solimun Solimun, Ni Wayan Surya Wardhani

“…The analysis conducted involves performing FCM classification to form interval classes and optimizing the forecasting results of the WFTS method with DE. The Fuzzy C-Means classification resulted in finding 7 clusters with different membership counts. …”
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The features of changes in orientations to employment among bachelor’s graduates by A. V. Merenkov, D. G. Sandler, V. S. Shavrin

“…The value-motivational attitudes of young people in solving the issue of their employment become different. The aim of the research is to identify the dynamics and qualitative changes in values, which determine the choice of the future workplace by university graduates, as well as the degree of compliance of the claims of young specialists with the requirements imposed by employers.Methodology and research methods. …”
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