Impact of Venous CONgestion on Organ Function and Outcomes in Sepsis (ICON-Sepsis): a prospective observational cohort study protocol by Hao Ying, Robert R. Ehrman, Robert L. Sherwin, Christian A. Reynolds, Steven J. Korzeniewski, Robert D. Welch, Jeffrey A. Kline, Phillip D. Levy

“…Classical and machine learning approaches will be used to analyse our large data stream and develop a rule-based system to identify distinct subpopulations of patients with sepsis who have greater risk/likelihood of both organ-specific and overall adverse outcomes.Ethics and dissemination This project has been approved by the Wayne State University Institutional Review Board, with patient enrolment beginning in April 2024. …”
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MORE-RNAseq: a pipeline for quantifying retrotransposition-capable LINE1 expression based on RNA-seq data by Yutaka Nakachi, Jianbin Du, Jianbin Du, Risa Watanabe, Risa Watanabe, Yutaro Yanagida, Miki Bundo, Kazuya Iwamoto

“…Measuring expression of RT-capable L1s (rc-L1s) among the hundreds of thousands of non rc-L1s is an essential step to understand the impact of RT. We developed mobile element-originated read enrichment from RNA-seq data (MORE-RNAseq), a pipeline for calculating expression of rc-L1s using manually curated L1 references in humans and mice. …”
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Elucidating genetic variability between randomly bred domestic cats and Persian domestic cats from different geographical locations using microsatellite markers by Shirin Mahmoodi, Ali Hojabr Rajeoni, Mehrshad Zeinolabedini, Arash Javanmard, Mohammad Hossein Banabazi

“…Abstract Background The domestic cat (Felis catus) is a newly evolved species in the family Felidae that has developed some great features among mammals. It is critical to conserve these species and prevent inbreeding from reducing their genetic diversity by understanding their genetic relationships and applying the information to breeding management. …”
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Psychometric properties of an Arabic translation of the 13-item short mood and feelings questionnaire- parent version (SMFQ-P) to screen for depression in children by Amir Noureddine, Diana Malaeb, Sami El Khatib, Mariam Dabbous, Fouad Sakr, Amira Mohammed Ali, Feten Fekih-Romdhane, Souheil Hallit, Sahar Obeid

“…Abstract Background Understanding the connection between parental wellbeing and its impact on childhood depression is crucial in order to develop targeted interventions and support systems that can mitigate potential long-term effects on mental health. …”
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RadiomiX for Radiomics Analysis: Automated Approaches to Overcome Challenges in Replicability by Harel Kotler, Luca Bergamin, Fabio Aiolli, Elena Scagliori, Angela Grassi, Giulia Pasello, Alessandra Ferro, Francesca Caumo, Gisella Gennaro

“…This emphasizes the potential of automated ML as a step towards better-performing and more reliable radiomic models.…”
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Effectiveness of a new basic course incorporating medical trainer simulator for HEMS education in Japan: a pre-post intervention study by Kazuhiko Omori, Jiro Takahashi, Noriko Watanabe, Hiroko Iwasaki, Sachiko Mineyama, Kumiko Sakata, Kentaro Yamada, Susumu Ichikawa, Manabu Takamatsu, Ryukoh Ogino, Tatsuya Hayakawa

“…This standardized education program marks a significant step towards aligning Japan’s HEMS training with international standards.…”
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A novel classification on degenerative thoracolumbar kyphosis based on sagittal spino-pelvic alignment: should the thoracolumbar segments be intervened? by Haoyuan Li, Zhenqi Zhu, Yuqiao Li, Weiwei Xia, Chong Zhao, Chen Guo, Shuai Xu, Haiying Liu

“…To identify groups with similar spino-pelvic sagittal alignment parameters and clinical features, a 2-step cluster analysis was performed. Results Close relationships were found among the parameters. …”
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Lay knowledge of cardiovascular disease and risk factors in three communities in Accra, Ghana: a cross-sectional survey by Charles Agyemang, Ama De-Graft Aikins, Olutobi Adekunle Sanuade, Mawuli Komla Kushitor, Raphael Baffour Awuah, Paapa Yaw Asante

“…We outline health systems and community-level barriers to good CVD knowledge and discuss the implications for developing context-specific and culturally congruent CVD primary prevention interventions.…”
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A risk prediction model for the assessment and triage of women with hypertensive disorders of pregnancy in low-resourced settings: the miniPIERS (Pre-eclampsia Integrated Estimate... by Beth A Payne, Jennifer A Hutcheon, J Mark Ansermino, David R Hall, Zulfiqar A Bhutta, Shereen Z Bhutta, Christine Biryabarema, William A Grobman, Henk Groen, Farizah Haniff, Jing Li, Laura A Magee, Mario Merialdi, Annettee Nakimuli, Ziguang Qu, Rozina Sikandar, Nelson Sass, Diane Sawchuck, D Wilhelm Steyn, Mariana Widmer, Jian Zhou, Peter von Dadelszen, miniPIERS Study Working Group

“…Candidate predictors collected within 24 hours of admission were entered into a step-wise backward elimination logistic regression model to predict a composite adverse maternal outcome within 48 hours of admission. …”
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Rapid detection of β-lactamase activity using the rapid Amp NP test by Patrice Nordmann, Nicolas Helsens, Nicolas Kieffer, Camille Tinguely, Gilbert Greub, Laurent Poirel

“…It relies on a centrifugation step after a 90 min preliminary culture and the detection of β-lactamase activity with nitrocefin as substrate using a special filter. …”
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Socioeconomic determinants of affordability of medication: a panel data econometric analysis in Iran by Mohammad Javad Rajabi, Mojtaba Ghasemi, Mohammad Peikanpour, Hamid Reza Rasekh

“…Exploring and estimating the effects of the Social Determinants of Health (SDH) on affordability is an important step to clarify and picture the equity in health and targets for policy making. …”
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Sustainable Lightweight Concrete Using Candlenut Shell as Coarse Aggregate: The Impact of Water-Cement Ratios on Strength and Density by Reza Hasrul, Mohammad Junaedy Rahman, Ahnaf Riyandirga Ariyansyah Putra Helmy, Taufiq Natsir, Ahmad Rifqi Asrib

“…This represents a significant step towards developing an eco-friendly solution that not only contributes to global sustainability goals by repurposing agricultural waste but also actively reduces reliance on conventional, resource-intensive aggregates. …”
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Network Automation pada Beberapa Perangkat Router Menggunakan Pemrograman Python by Setiya Nugroho, Bambang Pujiarto

“…The method used in this study went through several stages. The first step is designing the hardware topology in network automation. …”
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Stealthy Adversarial Attacks on Machine Learning-Based Classifiers of Wireless Signals by Wenhan Zhang, Marwan Krunz, Gregory Ditzler

“…Although highly accurate classifiers have been developed, research shows that these classifiers are, in general, vulnerable to adversarial machine learning (AML) attacks. …”
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Metformin reduces the risk of frailty: evidence from a Mendelian randomization study by Tong Chen, Yan-Lan Liu, Hui-Na Qiu, Chen-Ying Lin, Fan Wu, Jing-Bo Li, Jing-Na Lin

“…These findings provide new insights for developing therapeutic strategies targeting aging and frailty prevention.…”
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Predicting sleep quality with digital biomarkers and artificial neural networks by Hyolim Lee, Minsung Cho, Sang Won Lee, Sang Won Lee, Sungkyu Park

“…Biometric data including HRV signals, daily step counts, and physiological indicators were collected alongside subjective questionnaire responses (PHQ-9, GAD-7, ISI, KNHANES, WHOQOL-BREF) and daily sleep logs. …”
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Maintenir une homogénéité culturelle et linguistique : mise en perspective diachronique des stratégies de découpages territoriaux de la périphérie flamande de Bruxelles-Capitale... by Clotilde Bonfiglioli

“…Through a diachronic analysis, it aims at analysing its most recent developments. A fieldwork, combined with the analysis of official directives from the Flemish authorities and the processing of sociolinguistic data previously collected, provide information on the new forms of politico-linguistic divisions in the Flemish periphery of Brussels-Capital (a cosmopolitan capital). …”
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StructureNet: Physics-Informed Hybridized Deep Learning Framework for Protein–Ligand Binding Affinity Prediction by Arjun Kaneriya, Madhav Samudrala, Harrish Ganesh, James Moran, Somanath Dandibhotla, Sivanesan Dakshanamurthy

“…Accurately predicting protein–ligand binding affinity is an important step in the drug discovery process. Deep learning (DL) methods have improved binding affinity prediction by using diverse categories of molecular data. …”
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Long short-term memory networks for enhancing real-time flood forecasts: a case study for an underperforming hydrologic model by S. Gegenleithner, S. Gegenleithner, M. Pirker, C. Dorfmann, R. Kern, J. Schneider

“…To achieve this, we developed two hindcast–forecast LSTM models and compared their forecast accuracies to that of a more conventional ARIMA model. …”
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“A good physician works full-time?” – a mixed-methods study on (mis)conceptions about part-time work in hospitals by Barbara Jarmila Germann, Julia Frey, Alain Soltermann, Janna Küllenberg

“…Therefore, we recommend that solutions be tailored to the specific needs of each clinic and developed through a participatory process. …”
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