Multi-kingdom microbiota analysis reveals bacteria-viral interplay in IBS with depression and anxiety by Qin Liu, Wenyu Fang, Ping Zheng, Shicai Xie, Xuanting Jiang, Wen Luo, Lijuan Han, Ling Zhao, Lin Lu, Lixiang Zhai, Danny J. Yu, Wei Yang, Chengyuan Lin, Xiaodong Fang, Zhaoxiang Bian

“…Utilizing multi-omic data alongside machine learning techniques, we successfully predicted psychiatric comorbidities in IBS, achieving an average AUC of 0.78. Notably, gut viruses emerged as significant contributors to our predictive model, indicating a vital role for bacteriophages in the gut microbiome of IBS patients. …”
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Portable Impedance Analyzer for FET-Based Biosensors with Embedded Analysis of Randles Circuits’ Spectra by Norman Pfeiffer, Martin Bach, Alice Steiner, Anna-Elisabeth Gerhardt, Joan Bausells, Abdelhamid Errachid, Albert Heuberger

“…This work presents a portable impedance analyzer (PIA) providing a 4-channel EIS of BioFETs. It performs the analysis of the recorded spectra by determining the charge transfer resistance <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi mathvariant="normal">R</mi><mi>ct</mi></msub></semantics></math></inline-formula> with a power-saving algorithm. …”
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The impact of aminoglycoside exposure on soil and plant root-associated microbiota: a meta-analysis by Jessica L. Coates, Ashanti J. Lawson, Kathleen Bostick, Mentewab Ayalew

“…Descriptive data analysis was performed for studies considered low or unclear for risk of bias. …”
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Factors Influencing Continued Usage of Intracavernosal Injections for Erectile Dysfunction: A Retrospective Analysis by Braian Rene Ledesma, Jason Codrington, David Velasquez, Alexandra Aponte Varnum, Joshua White, Greeshma Venigalla, Farah Rahman, Katherine Campbell, Alexander Weber, Max Sandler, Ranjith Ramasamy

“…Materials and Methods: A retrospective analysis was conducted using men who were prescribed intracavernosal injections between 2017 and 2022 at an academic medical center in a cosmopolitan area. …”

A Latency Composition Analysis for Telerobotic Performance Insights Across Various Network Scenarios by Nick Bray, Matthew Boeding, Michael Hempel, Hamid Sharif, Tapio Heikkilä, Markku Suomalainen, Tuomas Seppälä

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Factors associated with the export of traditional Chinese medicinal products: A stochastic frontier analysis. by Ying Chen, Shuduo Zhou, Zhongfei Pei, Weili Zhao, Jian Yang, Yunxuan Hu, Xiangning Feng, Ming Xu

“…<h4>Results</h4>Joinpoint regression analysis showed the Annual Average Percent Change (AAPC) of the export value of traditional Chinese medicinal products from 2013 to 2022 was 6.9211 (95% Confidence Interval [CI] 5.9176 to 7.9341). …”
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Transcriptome Sequencing-Based Analysis of Premature Fruiting in <i>Amomum villosum</i> Lour. by Yating Zhu, Shuang Li, Hongyou Zhao, Qianxia Li, Yanfang Wang, Chunyong Yang, Ge Li, Yanqian Wang, Lixia Zhang

“…Gene ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were annotated for these DEGs. …”
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The burden of low back pain in BRICS: an analysis for the global burden of disease study 2021 by Li Shen, Wencong Cao, Yong Yu, Yong Yu

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Regional analysis and stage-specific incidence of breast cancer in Kazakhstan: A comprehensive study by Nurbek Igissin, Assem Toguzbayeva, Zhansaya Telmanova, Gulnur Igissinova, Dulat Turebayev, Dariyana Kulmirzayeva, Nariman Syzdykov, Rustem Moldagali, Daulet Baibosynov, Zarina Bilyalova

“…Statistical analyses included age-standardized, crude, and age-specific incidence rates, with trend analyses performed using linear regression and the Joinpoint Regression Program to assess average percentage change over time. Results: The analysis of breast cancer incidence in Kazakhstan shows significant regional variations and an overall upward trend. …”
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Analysis of incidence and prevalence of the respiratory system diseases of the adult population of Moscow and the Russian Federation by V. M. Kuraeva, S. I. Feiginova, А. М. Podchernina

“…The purpose of this study is the analysis of indicators of incidence and prevalence of the respiratory system diseases of the adult population of Moscow and the Russian Federation for the periods 2015–2019 and 2019–2020.Methods and materials. …”
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Analysis of high-fidelity simulation effects and their connection with educational practices in early nursing education by Agata Wojcieszek, Anna Kurowska, Aldona Wróbel, Iwona Bodys-Cupak, Alicja Kamińska, Anna Majda

“…The study used Spearman’s correlation coefficient, Kruskal-Wallis test, Dunn’s post-hoc analysis and multivariate linear regression. A significance level of p < 0.05 was adopted. …”
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The Epidemiology of Hepatitis D Virus in North Africa: A Systematic Review and Meta-Analysis by Mohamed A. Daw, Amina M. Daw, Nadia E. M. Sifennasr, Aisha M. Draha, Ahmed M. Daw, Ali M. Daw, Mohamed O. Ahmed, Ebtisam S. Mokhtar, Abdallah El-Bouzedi, Ibrahem M. Daw

“…The estimated prevalence of HDV in North Africa was calculated as an average of the pooled infection prevalence in each country weighted by the ratio of the country’s hepatitis D virus population to the study’s sample size in the survey data analysis. …”
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A critical analysis of adult platelet product utilisation in South Africa, 2014 - 2021 by L Bolton, R Swanevelder, P-L Wessels, J R C Pulliam, K van den Berg

“…We conducted a descriptive, cross-sectional, retrospective analysis of all platelet requisitions processed by the SANBS between 1 January 2014 and 31 December 2021. …”
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A bibliometric analysis of targeted therapy cardiotoxicity research in cancer patients (2004–2024) by Guoming Chen, Guang Chen, Huiping Zhou, Qingyi Yang, Yifan Shang, Rui Qin, Yingyue Hou, Cheng Zhang, Jiarui Lin, Xuan Ye, Ning Wang, Yibin Feng

“…By identifying key research priorities, this analysis addresses critical gaps in current knowledge. …”
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Trends in the burden of urolithiasis in China: an analysis from the global burden of disease study 2021 by Yangyang Lin, Qing-cheng Lin, Qing-ying Zhou, Nai-fen Xu, Ding-qin Zheng, Xin-jun Wang, Ran Xu

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Analysis of early use of everolimus with low-dose calcineurin inhibitors in kidney transplant recipient by I. G. Kim, N. A. Tomilina, I. V. Ostrovskaya, I. A. Skryabina, N. D. Fedorova

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CLINICAL AND ECONOMIC EVALUATION OF CHRONIC DISEASE TREATMENT: A DISCREPANCY BETWEEN THE TRADITIONAL PHARMACOECONOMIC AND SOCIO-ECONOMIC ANALYSES by O. V. Zhukova, S. V. Kononova

“…The article presents the results of traditional pharmaco-economic analysis (the “cost-effectiveness” method) and socio-economic analysis of pharmaco-therapeutic regimens in a chronic disease.The specific aim was to compare the methods of pharmaco-economic and socioeconomic analyses when applied to the treatment of children with chronic asthma exacerbations.Materials and methods. …”
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The effects of different post-activation potentiation strategies on the performance of elite female track cyclists in position 1 of team sprint by Tianhe Li, Yapu Liang

“…Multiple group comparisons were conducted using analysis of variance (ANOVA). The Bonferroni correction was used to control Type I errors. …”
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Vision impairment and associated daily activity limitation: A systematic review and meta-analysis. by Masoud Rahmati, Lee Smith, Laurent Boyer, Guillaume Fond, Dong Keon Yon, Hayeon Lee, Tarnjit Sehmbi, Mapa Prabhath Piyasena, Shahina Pardhan

“…In contrast, distance vision impairment showed lower but still significant associations with IADL (OR = 1.19, 95% CI 1.05-1.34, p = 0.005) and a nonsignificant association with ADL (OR = 1.12, 95% CI 0.90-1.40, p = 0.30). Meta-regression analysis indicated that for every one-year increase in age, ADL performance decreased by an average of 0.0147 units (p < 0.001), while IADL performance declined at a slower rate of 0.0047 units/year (p = 0.031).…”
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Identification and Genetic Diversity Analysis of <i>Cucurbita</i> Varieties Based on SSR Markers by Jialong Zou, Xingting Wu, Xuejing Liu, Changcheng Peng, Yingxue Ma, Xiujie Zhang, Xuhong Yang, Shuailong Luo, Weigeng Xing, Hao Hong, Lang Li, Bin Tan, Ruonan Jing, Zhenjiang Xu

“…Based on the results of cluster analysis, principal component analysis, and population genetic structure analysis using 24 pairs of core primers for 306 <i>Cucurbita</i> varieties, the results were basically consistent, all categorized into three genetic clusters, corresponding to the three species: <i>C. moschata</i>, <i>C. pepo</i>, and <i>C. maxima</i>. …”
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