Assessing a prediction model for depression risk using an early adolescent sample with self‐reported depression by Eileen Y. Xu, Niamh MacSweeney, Gladi Thng, Miruna C. Barbu, Xueyi Shen, Alex S. F. Kwong, Liana Romaniuk, Andrew McIntosh, Stephen M. Lawrie, Heather C. Whalley

“…IDEA‐RS may be more suited to research settings with sufficient data for refitting. …”
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Enhancing infectious intestinal disease diagnosis through metagenomic and metatranscriptomic sequencing of 1000 human diarrhoeal samples by Edward Cunningham-Oakes, Blanca M. Perez-Sepulveda, Yan Li, Jay C. D. Hinton, Charlotte A. Nelson, K. Marie McIntyre, Maya Wardeh, Sam Haldenby, Richard Gregory, Miren Iturriza-Gómara, Christiane Hertz-Fowler, Sarah J. O’Brien, Nigel A. Cunliffe, Alistair C. Darby, on behalf of the INTEGRATE consortium

“…Furthermore, comparison of RNA/DNA ratios between pathogen-positive and pathogen-negative samples demonstrated that metatranscriptomics can distinguish pathogen-positive/negative samples and provide insights into pathogen biology. …”
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Inference for Two-Parameter Birnbaum–Saunders Distribution Based on Type-II Censored Data with Application to the Fatigue Life of Aluminum Coupon Cuts by Omar M. Bdair

“…Although the results show that the two methods yield similar parameter estimates, the Bayesian approach offers more flexible and reliable prediction intervals. …”
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The serum cystain C-based equation is more accurateto estimate the glomerular filtrations rate in Chinese adults than the serum creatinine-based equation by FU Shuai, XU Si, YANG Min, WU Sha, XIAO Xiao, LI Xiao-ning

“…Objective To compare the performances of the serum cystain C-based equation and the serum creatinine-based equation in Chinese adults.Methods The clinical data of 623 patients with chronic kidney disease（CKD）at Zhongnan Hospital of Wuhan University（Wuhan,China）from July 1,2017 to July 31,2019 were analyzed.It was taken as the gold standard to calculate eGFR with the Gates method after ^{99 m}Tc-DTPA isotope kidney imaging.The eGFR values were calculated,using the CKD-EPI_Scr,CKD-EPI_ScysC,FAS_Scr,FAS_ScysC equations,based on Scr and Scys C values within 48 hours before the isotope kidney imaging.Then,bias,precision and accuracy of the eGFR values from mGFR values were compared between various equations.In accordance with the 2012 KDIGO guidance,the CKD staging was performed with the mGFR values,and compliance of the eGFR with the mGFR staging results was analyzed.Results The ScysC-based equation had less bias and higher accuracy than the Scr-based equation in the overall sample and renal injury and age subgroups.In the overall group,the bias of CKD-EPI_ScysCvs CKD-EPI_Scrwas-4.65 vs-10.67,P30 was 56.7% vs 48.8%;the FAS_ScysCvs FAS_Scr bias was-7.49 vs-10.16 and P30 was 56.0% vs 51.4%.In the moderate to severe renal injury group,the bias of CKD-EPI_ScysCvs CKD-EPI_Scr was-2.23 vs-7.14,P30 was 57.4% vs 45.5%;the FAS_ScysCvs FAS_Scr bias was-6.69 vs-7.14 and P30 was 53.0% vs 48.2%.In the elderly group（age≥70）,the bias of CKD-EPI_ScysCvs CKD-EPI_Scr was-2.23 vs-9.13,P30 was 59.4% vs 41.3%;the FAS_ScysCvs FAS_Scr bias was-5.78 vs-6.12 and P30 was 53.8% vs 51.0%.The ScysC-based equation was more accurate than the Scr-based equation in the diagnosis of CKD wih eGFR and mGFR values calculated with various equations.The areas under the ROC curve of the CKD-EPI_Scr,CKD-EPI_ScysC,FAS_Scr and FAS_ScysC were 0.935,0.938,0.936,and 0.937,respectively.Their kappa values were 0.264,0.331,0.301 and 0.315,respectively.Conclusions The solo ScysC-based equation is more accurate than the solo Scr-based equation to estimate the eGFR in Chinese adults.…”
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A More Efficient and Safer Improved Percutaneous Pedicle Screw Insertion Technique—Trajectory Dynamic Adjustment Technique, Technical Note, and Clinical Efficacy by Hao Li, Zhiguo Ding, Bin Wei, Zhihao Ma, Jing Xie, Yonghao Tian, Lianlei Wang, Xinyu Liu, Suomao Yuan

“…Conclusion Compared to traditional PPSF technique, TDA technique is a safer and more effective procedure which has shorter surgical time, lower radiation exposure, and lower facet joint violation rate.…”
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Making "inclusion" more than a buzzword: A critical interpretive synthesis of literature about recruiting seldom-heard groups in health research. by Meghan Bradway, Lilisbeth Perestelo-Perez, Alezandra Torres-Castaño, Ana Maria Claudia Wagner, María Luisa Álvarez-Malé, Garlene Beatriz Zamora Zamorano, Kari Dyb

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A side-sampling based Linformer model for landslide susceptibility assessment: a case study of the railways in China by Nan Jiang, Yange Li, Zheng Han, Jiaming Yang, Bangjie Fu, Jiaying Li, Changli Li

“…Hence, this study proposes an approach to enhance datasets through the introduction of the side-sampling method. This technique focuses on individual research cells, conducting feature sampling training on fixed regions of length M, thereby enabling more precise identification of geographical clustering characteristics. …”
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Total-body aerobic gymnastic exercises more effective than low intensity steady state to improving body composition in adult women with sedentary by Shery Iris Zalillah, Ika Jayadi, Laily Mita Andriana, Kunjung Ashadi, Oce Wiriawan, Agus Hariyanto

“…Methodology: Materials and methods, this inferential study used a two-group experimental design involving as many as 50 sedentary adult women to prove that total-body aerobic gymnastic exercises were more effective than LISS exercises in improving body composition. …”
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Anaemia Prevalence More Than Doubles in an Academic Year in a Cohort of Tertiary Students: A Repeated-Measure Study in Cape Coast, Ghana by Regina Elorm Amoaning, Ernestina Siaw Amoako, Grace Arezie Kyiire, Dennis Dela Owusu, Happy Bruce, David Larbi Simpong, Patrick Adu

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Efficiency of ranked set sampling designs in power Lindley system reliability estimation with uncensored and right-censored data by Zhimin Wu, Lin Xiang

“…To obtain the parameter estimates of the PL distributions, the maximum likelihood (ML) method is used. Monte Carlo simulations considering perfect and imperfect ranking with uncensored data and perfect ranking with right-censored data show that RSS and ERSS provide more precise ML estimates of system reliability, R, compared to SRS under different sample sizes and parameter settings. …”
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FRRT*-Connect: A Bidirectional Sampling-Based Path Planner with Potential Field Guidance for Complex Obstacle Environments by Wenshan Yan, Xiangrong Xu, Aleksandar Rodić, Petar B. Petrovich

“…The algorithm first introduces a goal-directed attractive force control mechanism, integrating artificial potential field methods to guide the tree expansion more effectively toward the goal, thereby reducing redundant sampling and significantly improving convergence speed. …”
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Optimal sampling frequency and site selection for wastewater and environmental surveillance of infectious pathogens: A value of information assessment. by Isabella Impalli, Erik Bergland, Chadi M Saad-Roy, Bryan T Grenfell, Simon A Levin, D G Joakim Larsson, Ramanan Laxminarayan

“…Wastewater and environmental surveillance (WES) is a promising method of detecting infectious diseases in human and animal populations and offers significant advantages over traditional surveillance methods in the early detection of outbreaks. …”
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Optimisation of bioaerosol sampling using an ultralight aircraft: A novel approach in determining the 3-D atmospheric biodiversity by Maria P. Plaza, Athanasios Charalampopoulos, Vivien Leier-Wirtz, Pia Viuf Ørby, Mathilde Kloster, Michael Dines Christiansen, Claudia Traidl-Hoffmann, Athanasios Damialis, Ulrich Gosewinkel

“…Bioaerosols, such as pollen and fungal spores, are routinely monitored for agricultural, medical or urban greening practices, but sampling methodology is largely relying on techniques more than half a century old. …”
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'I was like, this is gonna hurt': Implementing self-sampling of dried blood spots to measure HIV viral load. by Jennifer V Chavez, Leah Davis Ewart, Ozair Ilyas, Delaram Ghanooni, José E Diaz, Lindsay Atkins, Richard Ramos, Adriana Hernandez, Alex Stewart, Keith J Horovath, Sabina Hirshfield, Adam W Carrico

“…Intersectional stigma (e.g., HIV, sexual minority status, and substance use) was noted as an important consideration in implementing self-sampling of DBS. Promoting decision making, or the option to choose sampling method based on personal preferences, may improve engagement and likelihood of DBS completion.…”
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Noninvasive genetic testing for type IV collagen nephropathy using oral mucosa DNA sampling in children with haematuria by Jiaojiao Liu, Dayin Zhou, Xiaowen Wang, Tong Shen, Chunyan Wang, Rufeng Dai, Xinli Han, Lin Huang, Wenli Xu, Jing Chen, Yihui Zhai, Jia Rao, Duan Ma, Qian Shen, Hong Xu

“…Hence, we performed noninvasive and convenient genetic testing approaches for type IV collagen-related nephropathy.Methods We used noninvasive oral mucosa sampling as an alternative method for DNA isolation for genetic testing and designed a panel targeting three type IV collagen nephropathy-related genes in children with hematuria. …”
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Harnessing historical sampling to substantiate range shifts: southward movement of North American least weasels (Mustela nivalis) by Peter D. Campbell, Ben J. Wiens, Marlon E. Cobos, A. Townsend Peterson, Jocelyn P. Colella

“…Our findings underscore the importance of natural history specimen records for understanding species’ responses to climate change and provide methods for a more robust validation of suspected changes in range dynamics, particularly for rare or elusive species. …”
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A credit card fraud detection approach based on ensemble machine learning classifier with hybrid data sampling by Khanda Hassan Ahmed, Stefan Axelsson, Yuhong Li, Ali Makki Sagheer

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Citizen-led sampling to monitor phosphate levels in freshwater environments using a simple paper microfluidic device. by Samantha Richardson, Alexander Iles, Jeanette M Rotchell, Tim Charlson, Annabel Hanson, Mark Lorch, Nicole Pamme

“…We have developed a paper-based analytical device and a 3 minute sampling workflow that requires no more than a container, a test device and a smartphone app. …”
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Advanced Credit Card Fraud Detection: An Ensemble Learning Using Random Under Sampling and Two-Stage Thresholding by Ibrahim Almubark

“…The well-known Synthetic Minority Over-sampling Technique (SMOTE) was used for over-sampling. …”
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Improving Bayesian Model Averaging for Ensemble Flood Modeling Using Multiple Markov Chains Monte Carlo Sampling by Tao Huang, Venkatesh Merwade

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