The performance of using dried blood spot specimens for HIV-1 viral load testing: A systematic review and meta-analysis. by Lara Vojnov, Sergio Carmona, Clement Zeh, Jessica Markby, Debrah Boeras, Marta R Prescott, Anthony L H Mayne, Souleymane Sawadogo, Christiane Adje-Toure, Guoqing Zhang, Mercedes Perez Gonzalez, Wendy S Stevens, Wendy S Stevens, Meg Doherty, Chunfu Yang, Heather Alexander, Trevor F Peter, John Nkengasong, DBS for VL Diagnostics Investigation Consortium

“…The study's main limitation was the direct applicability of findings as nearly all studies to date used dried blood spot samples prepared in laboratories using precision pipetting that resulted in consistent input volumes.…”
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Digital mapping of soil erodibility factor in response to land use change using machine learning models by Wudu Abiye, Orhan Dengiz

“…The study utilized Multiple Linear Regression (MLR) and machine learning models, including Random Forest (RF), Support Vector Machine (SVM), Artificial Neural Network (ANN), and an ensemble of the four single models. …”
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The Effect of Zataria multiflora on Clinical, Pulmonary Function, and Oxidant Factors in Patients With Pulmonary Diseases: A Meta‐Analysis of Clinical Trials by Amirali Aali, Erfan Taherifard, Melika Farshidianfar, Farshad Hadianfard, Fatemeh Alamdari, Omid Keshavarzian, Majid Nimrouzi, Seyed Taghi Heydari, Maryam Akbari

“…However, more trials with larger samples and longer observation durations are needed to strengthen the evidence for widespread supplementation of Z. multiflora.…”
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The relationship between milk urea nitrogen content and urinary nitrogen excretion as determined in 4 Swiss dairy breeds by A. Burren, M. Terranova, M. Kreuzer, T. Kupper, S. Probst

“…One such proxy would be the MUN content, which could be determined in tank milk samples from dairy farms. We therefore investigated the UN and MUN values from 21 different feeding experiments performed in Switzerland with 4 contrasting dairy breeds. …”
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Integrated Bioinformatics and Experimental Validation Reveal Macrophage Polarization-Related Biomarkers for Osteoarthritis Diagnosis by He Q, Liu L, Hu X, Lin L, Song Z, Xia Y, Lin Q, Wei J, Li S

“…Least absolute shrinkage and selection operator (LASSO), random forest (RF), and support vector machine recursive feature elimination (SVM-RFE) algorithms were used to identify hub genes and construct a diagnostic model validated through internal datasets and multiple external bulk RNA-seq and single-cell RNA-seq data. …”
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Evaluating performance, intestinal lesions, and immunity related genes in heritage and modern broiler breeds during a necrotic enteritis challenge by Laney E. Froebel, Ali Calik, Nima K. Emami, Candice E.C. Blue, Rami A. Dalloul

“…ABSTRACT: In this comparative study, the differential responses of heritage (ACRB; Athens Canadian Random Bred) and modern (Cobb) broilers to a necrotic enteritis (NE) challenge were evaluated. …”
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Automated seafood freshness detection and preservation analysis using machine learning and paper-based pH sensors by B. Kumaravel, A. L. Amutha, T. P. Milintha Mary, Aryan Agrawal, Akshat Singh, S. Saran, Nagamaniammai Govindarajan

“…These measurements were used to train a Random Forest (RF) model, aimed at accurately predicting the pH values of the samples. …”
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Activity and microbial biomass as indicators of organic matter in passion fruit crops (Passiflora edulis) in Toro, Valle del Cauca, Colombia Actividad y biomasa microbianas como in... by Zúñiga Orlando, Gascó José María, Pérez Jesús, Rojas Adriana, Sánchez de Prager Marina

“…<p>The relationship among organic matter of the soil, microbial activity and biomass in 3systems of Passion Fruit crop (agriculture-ecological, transition and conventional) in the municipality of Toro (Valle del Cauca) was evaluated. In soil samples taken at random at two depths (0-15 and 15-30 cm), in nine points for handling system, biological properties were measured [microbial activity (C-CO<sub>2</sub>); microbial biomass (Cmicro) -fumigation, extraction- and physical and chemical properties (organic matter, pH, humidity, texture, apparent density, porosity - traditional methods-)]. …”
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Systematic review of amyloid-beta clearance proteins from the brain to the periphery: implications for Alzheimer’s disease diagnosis and therapeutic targets by Letian Huang, Mingyue Liu, Ze Li, Bing Li, Jiahe Wang, Ke Zhang

“…Owing to heterogeneity, we utilized either a fixed-effect or random-effect model to assess the 95% confidence interval (CI) of the standard mean difference (SMD) among healthy controls, patients with mild cognitive impairment, and patients with Alzheimer’s disease. …”
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From ‘traditional’ remedies to ‘modern’ supplements: a systematic review and meta-analysis of pharmaceutical adulteration in weight-loss natural products by Dang Thuc Anh Phan, Dang Thuc Anh Phan, Chuenjid Kongkaew, Michael Heinrich, Michael Heinrich, Thi Cam Minh Dao, Thi Ha Vo, Thi Ha Vo

“…The Der Simonian-Laird random-effects model was used for data pooling. Subgroup analyses and a meta-regression model were utilized to explore potential sources of heterogeneity. …”
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Biodanza: revisión sistemática sobre los beneficios de una práctica emergente en la promoción de la salud y el bienestar (Biodanza: systematic review of the benefits of an emergin... by Claudia Altamirano Quevedo, Estefanía Castillo Viera, Iván Rodríguez Pascual

“…The studies are still scarce and the samples are not random, so the results cannot be easily generalized. …”
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Prevalence and risk factors for lameness in dairy cattle on selected farms located in Dessie and Kombolcha, Northeast Ethiopia by Hasen Ahimed Mekonin, Abadi Amare Reda, Abadi Amare Reda, Alula Alemayehu Assen, Alula Alemayehu Assen, Awol Mohammed Assen, Awol Mohammed Assen

“…The herd-level prevalence was calculated as the total number of positive herds divided by the total number of herds sampled. After variable screening using univariable analysis, separate multivariable mixed-effects logistic regression models that included farm as a random effect were fitted to identify risk factors for lameness at both the animal and herd levels.ResultsThe overall prevalence of lameness was 5.77% (95%CI = 3.57–7.98%). …”
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Correlates and determinants of physical activity among older adults of lower versus higher socio-economic status: a systematic review and meta-analysis by Olivia S. Malkowski, Jessica Harvey, Nick P. Townsend, Mark J. Kelson, Charlie E. M. Foster, Max J. Western, Physical Activity Inequalities in Later Life consortium

“…Hospitalised and institutionalised populations were excluded. Random effects meta-analyses were performed separately for people of lower and higher socio-economic status. …”
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Construction of a Wilms tumor risk model based on machine learning and identification of cuproptosis-related clusters by Jingru Huang, Yong Li, Xiaotan Pan, Jixiu Wei, Qiongqian Xu, Yin Zheng, Peng Chen, Jiabo Chen

“…Subsequently, expression profiles of CRGs were extracted for differential analysis and immune infiltration studies. Utilizing 105 WT samples, clusters related to Cuproptosis were identified. …”
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Multi-analytical assessment of shale gas potential in the West Bokaro Basin, India: A clean energy prospect by Manish Kumar Srivastava, Kaushal Kishor, Alok K. Singh, Alok Kumar, Khairul Azlan Mustapha, Amit Saxena

“…FTIR and X-ray diffraction (XRD) analyses identified inorganic entities and high quartz content in the shale samples, confirming their friability. The brittleness index (BI) calculated using X-ray fluorescence (XRF) data showed BI values above 0.48, indicating that the shales are brittle, which is advantageous for hydraulic fracturing. …”
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Deepfake Audio Detection for Urdu Language Using Deep Neural Networks by Omair Ahmad, Muhammad Sohail Khan, Salman Jan, Inayat Khan

“…Each version includes samples from a total of 125 speakers (95 males and 30 females), and the data is divided into 70% for training, 15% for validation, and 15% for testing. …”
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Exposure to hate in online and traditional media: A systematic review and meta‐analysis of the impact of this exposure on individuals and communities by Pablo Madriaza, Ghayda Hassan, Sébastien Brouillette‐Alarie, Aoudou Njingouo Mounchingam, Loïc Durocher‐Corfa, Eugene Borokhovski, David Pickup, Sabrina Paillé

“…They include 25 correlational studies, and 22 randomized and 8 non‐randomized experimental studies. …”
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Prediction of knee joint pain in Tai Chi practitioners: a cross-sectional machine learning approach by Yang Chen, Xiaojie Su, Fei Yao, Yushan Liu, Hua Xing, Yubin Ju, Zhiran Kang, Wuquan Sun, Lijun Yao, Li Gong

“…The total reliability of the scale is 0.94 and the KMO (Kaiser-Meyer-Olkin measure of sampling adequacy) value of the scale validity was 0.949 (>0.7). …”
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Environmental contamination and horizontal transmission of Salmonella Enteritidis among experimentally infected layer pullets in indoor cage-free housing by Richard K. Gast, Javier S. Garcia, Rupa Guraya, Deana R. Jones, Darrin M. Karcher

“…Enteritidis recovery than the least efficient samples (flooring substrate drag swabs; 53 % positive). …”
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Molecular subtype of recurrent implantation failure reveals distinct endometrial etiology of female infertility by Jing Yang, Lingtao Yang, Ying Zhou, Fengyang Cao, Hongkun Fang, Huan Ma, Jun Ren, Chunyu Huang, Lianghui Diao, Qiyuan Li, Qionghua Chen

“…Methods We conducted a comprehensive computational analysis integrating publicly available endometrial transcriptomic datasets with prospectively collected samples. Multi-platform data were harmonized using a random-effects model. …”
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