A Causal Effect of Serum 25(OH)D Level on Appendicular Muscle Mass: Evidence From NHANES Data and Mendelian Randomization Analyses by Qian Ren, Jinrong Liang, Yanmei Su, Ruijing Tian, Junxian Wu, Sheng Ge, Peizhan Chen

“…Methods In the NHANES 2011–2018 dataset, 11 242 participants (5588 males and 5654 females) aged 18–59 years old were included, and multivariant linear regression was performed to assess the relationship between 25(OH)D and AMM measured by dual‐energy X‐ray absorptiometry. …”
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Uranium-polymetallic mineralization relationship and comprehensive mineralization model in the Xiangshan ore field, South China: constraints from H-O-S-Pb-Sr multi-isotope data by Jian Guo, Jian Guo, Jian Guo, Ziying Li, Ziying Li, Ziying Li, Jiangtao Nie, Jiangtao Nie, Jiangtao Nie, Sheng He, Sheng He, Sheng He, Junxian Wang, Junxian Wang, Junxian Wang, Waseem Khan

“…Through systematic comparative analysis of H-O-S-Pb-Sr isotopic signatures across both mineralization types, this study elucidates: (1) Uranium mineralization exhibits significantly higher meteoric water contributions (δ18OH2O: 0.95‰–4.95‰) and crustal material inputs (87Sr/86Sr: 0.71447 to 0.72072; δ34S: 6.2‰–19.55‰) compared to polymetallic counterparts; (2) 206Pb/204Pb, 207Pb/204Pb, and 208Pb/204Pb ratios for sulfide minerals of polymetallic mineralization ranging from 17.599 to 18.262, 15.558 to 15.725, and 37.934 to 38.875 and sample points exhibit a linear distribution pattern imply unique sulfur enrichment processes potentially associated with uranium-rich hydrothermal systems; (3) Multivariate isotopic evidence confirms that uranium and polymetallic mineralization represent products of two discrete metallogenic events under the extensional tectonic regime of South China.…”
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Metagenomic and metabolomic analysis of gut microbiome's role in spinal cord injury recovery in rats by Jieqi Zhang, Xihan Ying, Rong Hu, Yi Huang, Ruoqi Wang, Lei Wu, Dexiong Han, Ruijie Ma, Kelin He

“…Male Sprague–Dawley (SD) rats were assigned to either SCI or sham-operated groups. Fecal samples were collected for whole-genome metagenomic sequencing, and serum samples were analyzed using untargeted metabolomics. …”
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Development of a Novel Colorimetric pH Biosensor Based on A-Motif Structures for Rapid Food Freshness Monitoring and Spoilage Detection by Jiajia Wang, Huiyuan Wang, Hongmin Zhang, Shiqi Yang, Keqiang Lai, Donglei Luan, Juan Yan

“…The ratio of UV absorption values at 527 nm and 700 nm (A₅₂₇/A₇₀₀) demonstrates a strong linear correlation with both the storage duration and pH of the food samples. …”
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Machine learning approaches to identify hydrochemical processes and predict drinking water quality for groundwater environment in a metropolis by Zhan Xie, Weiting Liu, Si Chen, Rongwen Yao, Chang Yang, Xingjun Zhang, Junyi Li, Yangshuang Wang, Yunhui Zhang

“…Four supervised machine learning methods were conducted to predict drinking water quality. Linear regression demonstrated the best correlation of 0.9999. …”
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Telluride quantum dot-amplified immunosensor for interferon gamma – A TB antigen test biomarker by Sixolile Mini, Kaylin Cleo Januarie, Marlon Oranzie, Candice Cupido, Kefilwe Vanessa Mokwebo, Usisipho Feleni, Emmanuel Iwuoha

“…The immunosensor exhibited a linear detection range (LDR) value of 2–20 pg/mL IFN-γ, a limit of detection (LOD) value of 0.82 pg/mL IFN-γ and was highly sensitive in human serum samples with recovery rates of 97–99 %.…”
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Out-of-pocket prescription medicine expenditure amongst community-dwelling adults: Findings from the Irish longitudinal study on ageing (TILDA) in 2016 by James Larkin, Ciaran Prendergast, Logan T. Murry, Michelle Flood, Barbara Clyne, Sara Burke, Conor Keegan, Fiona Boland, Tom Fahey, Nav Persaud, Rose Anne Kenny, Frank Moriarty

“…Median annual out-of-pocket prescription medicine expenditure was €144 (IQR: €0–€312). A generalised linear model showed that, amongst those with out-of-pocket prescription medicine expenditure, having fewer healthcare entitlements was associated with 4.74 (95%CI: 4.37–5.15) times higher out-of-pocket prescription medicine expenditure. …”
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Gaawaadhi Gadudha: understanding how cultural camps impact health, well-being and resilience among Aboriginal adults in New South Wales, Australia—a collaborative study protocol by Stephanie M Topp, Anthony B Zwi, Aryati Yashadhana, Ted Fields, Jonathan Kingsley, Evelyne de Leeuw, Brooke Brady, Michelle O'Leary, Miri Raven, Nina Serova, Warren Foster, Wendy Jopson, Brett Biles

“…Quantitative analysis will use independent samples’ t-tests or χ2 analyses to compare camp and non-camp groups, and linear regression models to determine the impact of camp attendance. …”
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Amphotericin B tissue penetration and pharmacokinetics in healthy and Candida albicans-infected rats: insights from microdialysis and population modeling by Valdeene Vieira Santos, Valdeene Vieira Santos, Laiz Campos Pereira, Laiz Campos Pereira, Jackeline Marley Santos de Araújo, Jackeline Marley Santos de Araújo, Matheus Antônio da Hora Borges, Matheus Antônio da Hora Borges, Carolina Magalhães Brandão, Luisa Oliveira Santos, Luisa Oliveira Santos, Cristiane Flora Villarreal, Francine Johansson Azeredo

“…Plasma and microdialysate samples were analyzed using HPLC-diode-array detection. …”
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Gastrectomy-induced alterations in gut microbiota linked to changes in oral and gastric microbiota by Eri Komori, Nahoko Kato-Kogoe, Yoshiro Imai, Shoichi Sakaguchi, Kohei Taniguchi, Michi Omori, Mayu Ohmichi, Wataru Hamada, Shota Nakamura, Takashi Nakano, Sang-Woong Lee, Takaaki Ueno

“…Next, 16S rRNA metagenomic analysis was performed. Diversity and linear discriminant analysis effect size (LEfSe) analyses of each microbiota were conducted before and after gastrectomy to compare alterations in the gut, oral, and gastric microbiota.ResultsThe diversity of gut microbiota increased after gastrectomy compared to that before gastrectomy (Shannon index, p = 0.044), with LEfSe analysis showing increased abundance of Rothia and Lactobacillus in the gut microbiota. …”
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Federally qualified health center patients’ experiences with remote patient monitoring as part of telehealth services for self-measured blood pressure monitoring by Natalia I. Heredia, Maria E. Fernandez, Ella R. Garza, Jabria Pittman, Fernanda Velasco-Huerta, Tracy L. Judd, Jocelyn Hunyadi, Elvis Longanga Diese, Deevakar Rogith, William B. Perkison, Susan H. Fenton

“…Results The sample (n = 47) was 64% female, 89% Hispanic/Latino, and 75% uninsured. …”
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Effect of Glycated Haemoglobin (HBA1c) on Cardiorespiratory Fitness (CRF) in a Population with Type 2 Diabetes Mellitus (T2DM): A Cross-Sectional Study by Snehil Dixit, Daniela Bassi-Dibai, Almir Vieira Dibai-Filho, Renata G. Mendes, Abdulfattah S. Alqahtani, Mohammed M. Alshehri, Monira I. Aldhahi, Batool Abdulelah Alkhamis, Ravi Shankar Reddy, Jaya Shanker Tedla, Audrey Borghi-Silva

“…<i>p</i> < 0.05 was considered significant. Linear regression was used to examine the influence of predictor variables on dependent variables. …”
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Electrochemical determination of paracetamol and chlorpheniramine  using AuNPs-rGO modified glassy carbon electrode by Huynh Van Chung, Nguyen Hai Phong, Dao Thi Cam Minh, Ho Xuan Anh Vu, Pham Khac Lieu, Nguyen Thi Thanh Huyen, Trinh Ngoc Dat, Doan Manh Dung, Do Thi Duyen, Dinh Quang Khieu

“…Under suitable experimental conditions, the SQW-ASV method using AuNPs-rGO-GCE showed a wide linear range from 23.7 µM to 140 µM for PAR and from 7.5 µM to 54 µM for CPM. …”
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The Canadian platform for research online to investigate health, quality of life, cognition, behaviour, function, and caregiving in aging (CAN-PROTECT): Study protocol, platform de... by Zahinoor Ismail, Dylan X. Guan, Daniella Vellone, Clive Ballard, Byron Creese, Anne Corbett, Ellie Pickering, Adam Bloomfield, Adam Hampshire, Ramnik Sekhon, Pamela Roach, Eric E. Smith

“…Longitudinal data from diverse samples are needed to properly inform clinicians, researchers, and policy makers. …”
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Plasma levels of the neuron damage markers brain-derived tau and glial fibrillary acidic protein in Lyme neuroborreliosis: A longitudinal study by Mathilde Ørbæk, Fernando Gonzalez-Ortiz, Rosa M.M. Gynthersen, Åse Bengaard Andersen, Kubra Tan, Ulf Andreasson, Kaj Blennow, Helene Mens, Henrik Zetterberg, Anne-Mette Lebech

“…Results: A total of 23 patients (median age: 63 years; male/female ratio: 16/7) with 56 plasma samples were analyzed; 12 patients had complete samples. …”
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IgG detection in human serum employing non-functionalized chromium doped zinc gallate nanoparticles by Zied Ferjaoui, Capucine Zimmer, Celina Matuszewska, Corinne Chanéac, Bruno Viana, Cédric Bouzigues, Daniel Scherman, Nathalie Mignet, Cyrille Richard

“…Based on these results, these non-functionalized nanoparticles were successfully used to develop a persistent luminescence-based sandwich immunoassay for autofluorescence-free detection of antigens in undiluted human serum samples, using rabbit IgG as a model antigen. This study highlights the promising potential for biosensing applications of persistent ZGO nanophosphors for IgG detection in a complex medium (undiluted human serum), with a linear range from 1 ng mL−1 to 104 ng mL−1 and a limit of detection of 0.01 ng mL−1. …”
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Effect of charcoal-containing toothpastes on roughness and color stability of bulk-fill resin composites by Waldemir Francisco Vieira Junior, Rafaella Queiróz Costa, Leonardo Santos Barros, Mariana Mayume Mori, Cecilia Pedroso Turssi, Fabiana Mantovani Gomes França, Núbia Inocencya Pavesi Pini, Roberta Tarkany Basting

“…The data were evaluated using generalized linear models (Ra, L*, b*, deltaEab; deltaE00), Mann-Whitney, Kruskal-Wallis, and Dunn tests (a*; deltaSGU), with alpha=0.05. …”
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3D echocardiography derived reference values and determinants of left ventricular twist and torsion from the population-based STAAB cohort study by Julia Napp, Götz Gelbrich, Floran Sahiti, Vladimir Cejka, Dora Pelin, Lena Schmidbauer, Mengmeng Chen, Niklas Hitschrich, Marcus Schreckenberg, Stefan Frantz, Peter U. Heuschmann, Stefan Störk, Caroline Morbach

“…Valid 3D image analysis was performed in n = 1831 (65.3%) subjects (mean age 57 ± 11 years, 49.3% women). Using general linear models, we identified determinants of LV twist and torsion: there was a positive association between LV rotational parameters and age, female sex, and blood pressure but a negative association with body weight. …”
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Eye-tracking measurement of attention bias to social threat among youth: A replication and extension study by Meghan E. Byrne, Sara Kirschner, Anita Harrewijn, Rany Abend, Amit Lazarov, Lucrezia Liuzzi, Katharina Kircanski, Simone P. Haller, Yair Bar-Haim, Daniel S. Pine

“…Replicating procedures of two previous studies, linear mixed-effects models compared attention bias between children with anxiety disorders and healthy controls. …”
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Determination of aflatoxin M₁ in milk by ultra-performance liquid chromatography and fluorimetric detection combined with large volume flow cell by WANG Junlin, CAI Zengxuan, REN Yiping

“…Meanwhile, high correlation coefficient (R²&gt;0.999) was obtained within linear range from 0.06 to 1.2 μg/kg, and reasonable recoveries (81.95% -94.20%) were in different spike level. …”
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