Where there is no nurse: an observational study of large-scale mentoring of auxiliary nurses to improve quality of care during childbirth at primary health centres in India by Swati Srivastava, Krishna D Rao, Nicole Warren, Kaveri Mayra, Aboli Gore, Aritra Das, Saifuddin Ahmed

“…There was substantial variation in ability; 41% of nurses for normal delivery, 60% for postpartum haemorrhage and 45% for neonatal resuscitation provided less than half the correct actions. …”
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Investigating Facilitators and Barriers in the Tendency of Older Adults to Third-Generation Universities by Sara Maghare Dehkordi, Samaneh Pourhadi, Masoud Lotfizadeh, Shima Sum

“…Methods & Materials This qualitative study was conducted using content analysis with 19 members of the Shahrekord Retirees’ Center, who had retired at least one year ago and were selected using purposive sampling with maximum variation (in terms of demographic characteristics) as well as in-depth, semi-structured interviews. …”
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Statistical Relationship Between Wastewater Data and Case Notifications for COVID-19 Surveillance in the United States From 2020 to 2023: Bayesian Hierarchical Modeling Approach by Masahiko Haraguchi, Fayette Klaassen, Ted Cohen, Joshua A Salomon, Nicolas A Menzies

“…For these counties, we used Bayesian hierarchical regression modeling to estimate the statistical relationship between wastewater data and reported cases, allowing for variation in this relationship across counties. We compared different model structural approaches and assessed how the strength of the estimated relationships varied between settings and over time. …”
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Effects of simulated litter inputs on plant-microbe carbon pool trade-offs in degraded alpine meadows by Weishan Lin, Kejia De, Xuemei Xiang, Tingxu Feng, Fei Li, Xijie Wei

“…IntroductionLitter, as a major carbon source in alpine meadow ecosystems, seriously affect the variation of plant-microbe carbon pools in alpine meadows. …”
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Patient journey following lumbar discectomy surgery: protocol for a single-centre qualitative analysis of the patient rehabilitation experience (DiscJourn) by Alison B Rushton, Nicola R Heneghan, Louise White, Navin Furtado, Annabel Masson

“…A purposive sample (n=20) of patients undergoing primary discectomy will be recruited from one UK NHS secondary care centre. Semi-structured interviews will be conducted postsurgery discharge. …”
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Genome-wide analyses of exonic copy number variants in a family-based study point to novel autism susceptibility genes. by Maja Bucan, Brett S Abrahams, Kai Wang, Joseph T Glessner, Edward I Herman, Lisa I Sonnenblick, Ana I Alvarez Retuerto, Marcin Imielinski, Dexter Hadley, Jonathan P Bradfield, Cecilia Kim, Nicole B Gidaya, Ingrid Lindquist, Ted Hutman, Marian Sigman, Vlad Kustanovich, Clara M Lajonchere, Andrew Singleton, Junhyong Kim, Thomas H Wassink, William M McMahon, Thomas Owley, John A Sweeney, Hilary Coon, John I Nurnberger, Mingyao Li, Rita M Cantor, Nancy J Minshew, James S Sutcliffe, Edwin H Cook, Geraldine Dawson, Joseph D Buxbaum, Struan F A Grant, Gerard D Schellenberg, Daniel H Geschwind, Hakon Hakonarson

“…Previous work has demonstrated an important role for structural variation in a subset of cases, but has lacked the resolution necessary to move beyond detection of large regions of potential interest to identification of individual genes. …”
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Towards a robust hydrologic data assimilation system for hurricane-induced river flow forecasting by P. Abbaszadeh, F. Gholizadeh, K. Gavahi, H. Moradkhani

“…By accounting for different sources of uncertainty in model predictions – in particular model structural uncertainty (in addition to model parameter uncertainty) and atmospheric forcing data uncertainty – HEAVEN emerges as a powerful tool for enhancing flood prediction accuracy. …”
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Genome-scale metabolic modelling of human gut microbes to inform rational community design by Juan Pablo Molina Ortiz, Dale David McClure, Andrew Holmes, Scott Alan Rice, Mark Norman Read, Erin Rose Shanahan

“…Our study inferred the capability of AGORA strains to consume carbohydrates of varying structural complexities – including DRCs – and to produce metabolites amenable to cross-feeding, such as SCFAs. …”
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Provision of dementia-specific care in nursing homes in North Rhine-Westphalia (Germany) – analysis of person-centered practices and related problems within a holistic multiple cas... by Kathrin Schmüdderich, Anne Fahsold, Jonas Dörner, Martina Roes, Rebecca Palm, Bernhard Holle

“…For data collection, we used problem-centered face-to-face interviews, document analysis, and context questionnaires and analyzed all qualitative data inductively and deductively using content structuring qualitative analysis. To identify case-specific and cross-case patterns and themes, we focused on similarities and differences between the cases. …”
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Exploring perceived quality of life in long-term methadone-dependent patients: a qualitative study by Seyed Hamzeh Hosseini, Farnaz Fendereski, Fereshteh Yazdani, Zeinab Hamzehgardeshi

“…Materials and methods Applying a qualitative research design, this study was performed on 25 long-term MDPs, selected by purposive sampling with maximum variation. The data were also collected through semi-structured, in-depth interviews until data saturation was reached, and then analyzed via the MAXQDA10 software program and conventional content analysis. …”
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Determinants of wasting among children aged 6-59 months in Wonago woreda, south Ethiopia. A facility-based unmatched case-control study. by Endashaw Habtamu, Desalegn Chilo, Defaru Desalegn

“…Data were collected using a structured questionnaire and anthropometric measurement. …”
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Construction of a nursing management program for early fluid resuscitation in patients with acute pancreatitis: a Delphi study in China by Fang He, Xiaohong Zhang, Jiao Liu, Shaojian Mo, Lei Zhang, Xifeng Fu, Yanzhang Tian, Fei Gao, Yan Liu

“…Methods Through literature research, on-site research, semi-structured interviews, and other preliminary preparations of the first draft of the nursing management program for early fluid resuscitation in acute pancreatitis, the Delphi method was used to conduct two rounds of correspondence with medical and nursing experts, and then statistically analyzed. …”
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Site‐level factors affecting nursing home implementation of a personalized music intervention: Qualitative analyses from Music & Memory: A Pragmatic Trial for Nursing Home Resident... by Davoodi Natalie, Olson Miranda, Uth Rebecca, Baier Rosa, Rudolph James, Zediker Esme, Shield Renee, Ellen McCreedy

“…In this qualitative analysis, we analyzed barriers and facilitators at 9 of the 27 intervention NHs, using (1) routinely collected data collector observations and (2) semi‐structured interviews with NH staff. We iteratively developed codes to best describe these data and generated themes. …”
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Evaluating implementation of a hospital‐based cancer registry to improve childhood cancer care in low‐ and middle‐income countries by Melissa R. Maas, Allison Yang, Michele A. Muir, James B. Collins IV, Courtney Canter, Gevorg Tamamyan, Inam Chitsike, Francine Kouya, Kim Hoa Nguyen, Alia Ahmad, Ana Patricia Alcasabas, Yi‐Jin Gao, Kimberly J. Johnson, Gia Ferrara, Nickhill Bhakta, Benyam Muluneh

“…Methods Seven of 89 sites using the SJCARES registry were selected, stratified by global region and stage of implementation. Semi‐structured interviews were conducted with key groups (clinicians, administrators, data clerks) using an interview guide developed from the Consolidation Framework for Implementation Research (CFIR). …”
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A Monoclonal Antibody-Based Time-Resolved Fluorescence Microsphere Lateral Flow Immunoassay for Dinotefuran and Clothianidin Detection by Lehong Qin, Haojie Chen, Yingxiang Nie, Mengxin Zhou, Junjun Huang, Zhili Xiao

“…Cross-reactivity rates with seven tested structural analogs were less than 1.5%. The pretreatment method was optimized for wheat, cucumber, and cabbage samples, which was time-saving (20 min) and easy to operate. …”
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How water–energy–food services and their interactions change along multiple environmental gradients by Guangyi Deng, Haibo Jiang, Shuai Ma, Yang Wen, Chunguang He, Lianxi Sheng, Dehai Gu

“…Using the Songhua River Basin as a case study, this study quantified the spatiotemporal variation and interaction between water–energy–food services (water yield, net primary productivity, and food production) from 2001 to 2020, investigated changes in water–energy–food services and their interactions with each environmental gradient (elevation, precipitation, temperature, and vegetation cover) using a generalized additive model, and explored the underlying mechanism of interactions between water–energy–food services under different environmental gradients based on a structural equation model. …”
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Dissolved organic matter fosters core mercury-methylating microbiomes for methylmercury production in paddy soils by Q. Pu, B. Meng, J.-H. Huang, K. Zhang, K. Zhang, J. Liu, Y. Liu, M. A. Abdelhafiz, M. A. Abdelhafiz, M. A. Abdelhafiz, X. Feng, X. Feng

“…The partial Mantel test revealed strong linkages among core Hg-methylating microbiome composition, DOM, and MeHg concentration. Structural equation models further indicated that core Hg-methylating microbiome composition significantly impacted soil MeHg concentration, contributing 89 % of the observed variation, while DOM plays a crucial role in determining core Hg-methylating microbiome composition, accounting for 65 %. …”
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Investigation of the Velocities of Coals of Diverse Rank under Water- or Gas-Saturated Conditions for Application in Coalbed Methane Recovery by Jizhao Xu, Cheng Zhai, Pathegama Gamage Ranjith, Yong Sun, Jisheng Guo, Zheng Ma, Huiteng Ma, Lei Qin

“…Coalbed methane recovery enhanced by hydraulic or nonaqueous fracturing methods has been studied for decades, and it is of significance to evaluate fracturing results and scope for field applications. Monitoring variation in velocity is one way to explain fracturing effects. …”
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Large dataset on Fourier transform near infrared (FT-NIR) spectroscopy of green and roasted specialty coffee: Preprocessed infrared spectra and sensory scores for machine learning-... by Andrés F. Bahamón-Monje, Ever M. Morales-Angulo, Gentil A. Collazos-Escobar, Nelson Gutiérrez-Guzmán

“…This dataset enhances research on coffee quality, chemical marker identification, and roasting optimization, supporting both scientific and industrial applications. The dataset is structured into Excel files, systematically organized by processed samples and their replicates, providing a valuable framework for further analysis, model development, and calibration of multivariate statistical models.…”
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Genotype-Phenotype Correlations in Denys-Drash Syndrome in Children by Mathilde Glénisson, Mathilde Grapin, Thomas Blanc, Evgenia Preka, Julien Hogan, Manon Aurelle, Gwenaëlle Roussey, Antoine Mouche, Caroline Rousset-Rouviere, Robert Novo, Camille Faudeux, Marc Fila, Isabelle Vrillon, Sylvie Cloarec, Thomas Simon, Jérôme Harambat, Edouard Martinez Casado, Julien Rod, Morgane Carre Lecoindre, Laurence Heidet, Olivia Boyer, Nicolas Garcelon, Jessica Kachmar, Guillaume Dorval, Sabine Sarnacki

“…Introduction: Denys-Drash syndrome (DDS) is a rare disease typically associated with a triad of early onset nephrotic syndromes (NS), susceptibility to Wilms tumor (WT), and genitourinary structural defects. DDS is caused by Wilms’ tumor suppression gene (WT1) variants, with the most frequent variants in exons 8 and 9. …”
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