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  1. 17961

    Anthozoan eDNA primer set characterizes Ctenophora and Medusozoa inhabiting mesophotic and deep waters off the Gulf Coast of the southern USA by Annemarie Wood, Luke McCartin, Luke McCartin, Luke McCartin, Santiago Herrera, Santiago Herrera, Santiago Herrera, Andrea M. Quattrini, Allen G. Collins, Allen G. Collins

    Published 2025-05-01
    “…We recovered sequences belonging to a diverse array of GZ taxa and used these data to distinguish GZ communities by site and ecosystem type, characterize community diversity, and facilitate a better understanding of how these mysterious organisms interact within their ecosystem. …”
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  2. 17962

    Virulence and genetic characterization of Puccinia striiformis f.sp. tritici populations on different wheat cultivars by Jierong Wang, Yongjin Jin, Li Geng, Hongyan Wang, Jing Zhao, Lili Huang, Zhensheng Kang, Gangming Zhan

    Published 2025-08-01
    “…Significant genetic differentiation was observed using F ST  analyses of Simple Sequence Repeats (SSR) markers data among populations on the different cultivars, but cultivar-specific clustering was not detected. …”
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  3. 17963

    Oxidative Nanopatterning of Titanium Surface Influences mRNA and MicroRNA Expression in Human Alveolar Bone Osteoblastic Cells by Maidy Rehder Wimmers Ferreira, Roger Rodrigo Fernandes, Amanda Freire Assis, Janaína A. Dernowsek, Geraldo A. Passos, Fabio Variola, Karina Fittipaldi Bombonato-Prado

    Published 2016-01-01
    “…Titanium implants have been extensively used in orthopedic and dental applications. It is well known that micro- and nanoscale surface features of biomaterials affect cellular events that control implant-host tissue interactions. …”
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  4. 17964

    Understanding the relationship between adolescents with tuberculosis and health services: an indepth qualitative study from Cape Town by Graeme Hoddinott, James Seddon, Khanyisa Mcimeli, Stephanie Jacobs, Dillon Timothy Wademan, Zara Kavalieratos, Mfundo Mlomzale, Arlene J Marthinus, Lucia N Jola

    Published 2025-05-01
    “…A subset of 20 was selected for serial qualitative data collection, with 19 completing all tasks between December 2020 and September 2021. 52 interviews were conducted and thematically analysed using a case descriptive process for experiences across the TB care cascade.Findings Adolescents criticised the difficulties and delays they encountered in obtaining an accurate TB diagnosis. …”
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  5. 17965

    The influence of patient self-efficacy on value co-creation behavior and outcomes in chronic disease management: a cross-sectional study by Jiamin Tang, Jie Jia, Yuan Gao, Weixiao Yu, ZhengNan Meng, Hailong Zhu, Xianhong Huang

    Published 2025-05-01
    “…This study investigated the impact of chronic disease patients’ self-efficacy and value co-creation behaviors on the outcomes of value co-creation. Methods Relevant data were acquired through a questionnaire survey using statistical methods, such as the t-test, analysis of variance, and stratified linear regression. …”
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  6. 17966

    The hidden dangers in routine medical complaints: uncovering patient harm by Shaoting Luo, Xueting Chen, Xinyu Wen, Boyu Yao, Cui Wang, Qingbin Li, Wei Wang, Lianyong Li, Yong Zhang

    Published 2025-07-01
    “…Methods A retrospective study was conducted using data collected from January 2014 to December 2023, encompassing patient interactions, treatments, and complaints in the authors’ institution. …”
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  7. 17967

    Comparative Transcriptome and Weighted Gene Co-Expression Network Analysis of Eggplant (<i>Solanum melongena</i> L.) Reveals Key Genes Responding to <i>Ralstonia solanacearum</i> I... by Chuying Yu, Weiliu Li, Rui Xiang, Qihong Yang, Yaqin Jiang, Guiyun Gan, Liangyu Cai, Wenjia Li, Yikui Wang

    Published 2024-12-01
    “…Among these, the black module exhibited the strongest correlation with target traits and 16 hub genes were identified using gene co-expression network analysis. Subsequently, seven hub genes were selected for validation using RT-qPCR, and the results were consistent with the RNA-seq data. …”
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  8. 17968

    Estimates of Lake Nitrogen, Phosphorus, and Chlorophyll‐a Concentrations to Characterize Harmful Algal Bloom Risk Across the United States by Meredith M. Brehob, Michael J. Pennino, Amalia M. Handler, Jana E. Compton, Sylvia S. Lee, Robert D. Sabo

    Published 2024-08-01
    “…To better characterize how nutrients interact with other environmental factors to produce algal blooms in freshwater systems, we used spatially explicit and temporally matched climate, landscape, in‐lake characteristic, and nutrient inventory data sets to predict nutrients and chlorophyll‐a across the conterminous US (CONUS). …”
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  9. 17969

    Teacher perspectives on the socio-ecological barriers and enablers to food and nutrition education in primary schools: a scoping review by Emma K Esdaile, Lee Wharton, Helen Vidgen, Danielle Gallegos

    Published 2024-01-01
    “…Data were extracted using a modified socio-ecological model, and narrative themes were identified. …”
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  10. 17970

    Artificial intelligence-based epitope discovery of Mpox virus: Rational vaccine design by Adane Adugna, Desalegn Abebaw, Abebaw Admasu, Bantayehu Addis Tegegne, Zigale Hibstu Teffera, Tiruzer Hibstu, Gelagey Baye, Baye Ashenef, Enyew Fenta Mengistu, Mohammed Jemal

    Published 2025-08-01
    “…Additionally, researchers can model and simulate immune interactions using AI to refine epitope selection on the basis of predicted immunogenicity and stability, ensuring well-optimized vaccine candidates. …”
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  11. 17971

    Effect of vitamin D3 supplementation starting mid-pregnancy on placental angiogenic factors and terminal villi: a secondary analysis of a randomized controlled trial in Bangladesh by Anita Subramanian, Casey M. Carr, Eszter Papp, Kellie E. Murphy, Abdullah Al Mahmud, Daniel E. Roth, Alison D. Gernand

    Published 2025-07-01
    “…Methods This is a secondary analysis using data and specimens from the Maternal Vitamin D for Infant Growth trial in Dhaka, Bangladesh (n = 1298). …”
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  12. 17972

    Deep learning for property prediction of natural fiber polymer composites by Ivan P. Malashin, Dmitry Martysyuk, Vladimir Nelyub, Aleksei Borodulin, Andrei Gantimurov, Vadim Tynchenko

    Published 2025-07-01
    “…Best DNN model architecture (four hidden layers (128–64–32–16 neurons), ReLU activation, 20% dropout, a batch size of 64, and the AdamW optimizer with a learning rate of $$10^{-3}$$ ) obtained through hyperparameter optimization using Optuna, delivered the best performance (R $$^2$$ up to 0.89) and MAE reductions of 9–12% compared to gradient boosting, driven by the DNN’s ability to capture nonlinear synergies between fiber-matrix interactions, surface treatments, and processing parameters while aligning architectural complexity with multiscale material behavior.…”
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  13. 17973

    Patient safety education in undergraduate medical education through a global lens: a scoping review by Njoud Aldardeir, Qabirul Karan Abdullah, Linda Jones

    Published 2025-04-01
    “…A variety of methods were used including interactive (21.4%), experiential (14.3%) and technology-enhanced (17.8%) pedagogic strategies. …”
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  14. 17974

    Key informants’ perspectives on simulation-based learning experiences: a qualitative study by Liz Kingston, Kathleen Markey, Owen Doody, Louise Murphy, Pauline Meskell, Therese Hennessy, Mairead Moloney

    Published 2025-08-01
    “…An inductive thematic analysis framework was used to analyse the data. Results Findings suggest that when adequately resourced with personnel and other practical resources, simulation is an effective and authentic student-centred pedagogical approach, that can support safe and effective pre-internship learning. …”
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  15. 17975

    Health literacy disparities in South Korea: insights from a latent profile analysis by Sunghyun Kim, Suwon Hwang, Junhyup Lee, Mankyu Choi

    Published 2025-05-01
    “…Existing interventions generally employ a variable-centred approach, often neglecting the cumulative impact of various factors and the ways different groups interact with health information. We aimed to explore health literacy in the general population of South Korea by identifying and characterising distinct health literacy profiles using latent profile analysis. …”
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  16. 17976

    Comprehensive pan-cancer analysis of ENOPH1 in human tumors by Xuezhong Zhang, Ning Li, Tingting Chu, Haijun Zhao, Tonggang Liu

    Published 2025-02-01
    “…Methods We conducted a thorough analysis using data from UCSC databases. ENOPH1 expression in tumor and normal tissues was evaluated using R language software. …”
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  17. 17977

    Robust growth of avirulent phase II Coxiella burnetii in bone marrow-derived murine macrophages. by Diane C Cockrell, Carrie M Long, Shelly J Robertson, Jeffrey G Shannon, Heather E Miller, Lara Myers, Charles L Larson, Tregei Starr, Paul A Beare, Robert A Heinzen

    Published 2017-01-01
    “…M-CSF differentiated murine macrophages from bone marrow and conditional ER-Hoxb8 myeloid progenitors will be useful ex vivo models for studying Coxiella-macrophage interactions.…”
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  18. 17978

    Development of a novel diagnostic model to monitor the progression of metabolic dysfunction-associated steatotic liver disease to hepatocellular carcinoma in females by Xiaoning Gan, Yun Zhou, Yonghao Li, Lin Xu, Guolong Liu

    Published 2024-12-01
    “…Methods Transcriptomic data of female liver tissue samples were obtained from multiple public databases. …”
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  19. 17979

    Corporate political activity in the context of unhealthy food advertising restrictions across Transport for London: A qualitative case study. by Kathrin Lauber, Daniel Hunt, Anna B Gilmore, Harry Rutter

    Published 2021-09-01
    “…The key limitation of this study is that our data focused on industry-policymaker interactions; thus, our findings are unable to present a comprehensive picture of political activity.…”
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  20. 17980

    In silico analysis and high-risk pathogenic phenotype predictions of non-synonymous single nucleotide polymorphisms in human Crystallin beta A4 gene associated with congenital cata... by Zhenyu Wang, Chen Huang, Huibin Lv, Mingzhou Zhang, Xuemin Li, Xuemin Li

    Published 2020-01-01
    “…In order to provide a cost-effective method to narrow down the number of pathogenic Crystallin beta A4 (CRYBA4) non-synonymous single nucleotide polymorphisms (nsSNPs), we collected nsSNP information of the CRYBA4 gene from SNP databases and literature, predicting the pathogenicity and possible changes of protein properties and structures using multiple bioinformatics tools. The nsSNP data of the CRYBA4 gene were collected from 4 databases and published literature. …”
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