Sorting out assortativity: When can we assess the contributions of different population groups to epidemic transmission? by Cyril Geismar, Peter J White, Anne Cori, Thibaut Jombart

“…While recent technological and methodological advances have made individual-level transmission chain data increasingly available, it remains unclear how effectively this data can inform group-level transmission patterns, particularly in small, rapidly saturating outbreak settings. …”
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Growth Toxic Effects of Metal Nanoparticles on Bacillus subtilis and Vibrio parahaemolyticus by Shiyu CHEN, Bin XIA, Lin ZHU, Shuang LI, Qiufen LI, Xuemei SUN, Wei DAI

“…The voltage at the excitation electrode of the instrument was 16 V and the frequency was 2 MHz. The instrument was set to collect data every 1 minute, and the experiment lasted for 12 h. …”
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Interpersonal counselling for adolescent depression delivered by youth mental health workers without core professional training: the ICALM feasibility RCT by Jon Wilson, Viktoria Cestaro, Eirini Charami-Roupa, Timothy Clarke, Aoife Dunne, Brioney Gee, Sharon Jarrett, Thando Katangwe-Chigamba, Andrew Laphan, Susie McIvor, Richard Meiser-Stedman, Jamie Murdoch, Thomas Rhodes, Carys Seeley, Lee Shepstone, David Turner, Paul Wilkinson

“…Mixed-methods process data were collected to understand how the intervention was implemented across settings, explore acceptability and monitor contamination. …”
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PERIODONTOLOGICAL STATUS OF PATIENTS WITH DENTOMAXIMAL ANOMALIES BEFORE ORTHODONTIC TREATMENT by V.S. Melnyk, K.V. Zombor, S.V. Melnyk

“…Determination of gum biotype was carried out using a set of colored probes Colorvue Biotype Probe (Hu-Friedy, USA), which allows noninvasive classification of biotype into thin, medium, thick and extremely thick. …”
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Scanner-specific optimisation of automated lesion segmentation in MS by David R. van Nederpelt, Giuseppe Pontillo, Mar Barrantes-Cepas, Iman Brouwer, Eva M.M. Strijbis, Menno M. Schoonheim, Bastiaan Moraal, Bas Jasperse, Henk-Jan M.M. Mutsaerts, Joep Killestein, Frederik Barkhof, Joost P.A. Kuijer, Hugo Vrenken

“…Both automated segmentation techniques were used with default settings, and with settings optimized to match manual segmentations for each scanner specifically and combined for the three scanners. …”
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Performance of machine learning versus the national early warning score for predicting patient deterioration risk: a single-site study of emergency admissions by Darren Green, Mark Holland, Pinkie Chambers, Matthew Watson, Noura Al Moubayed, Stelios Boulitsakis Logothetis

“…The widespread adoption of electronic health records (EHR) makes rich feature patient data sets more readily available. These large data stores lend themselves to use in modern machine learning (ML) models. …”
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Embedding risk monitoring in infectious disease surveillance for timely and effective outbreak prevention and control by Marianne A B van der Sande, Niel Hens, Brecht Ingelbeen, Placide Mbala, Esther van Kleef, Ivalda Macicame, Kostas Danis, Eveline Cleynen

“…Epidemic intelligence efforts aim to predict, timely detect and assess (re-)emerging pathogens, guide and evaluate infectious disease prevention or control. …”
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Retrospective Analysis of Fungal Isolations in Patients on Veno-Venous Extracorporeal Membrane Oxygenation: The Multicenter RANGER STUDY 2.0 by Annalisa Boscolo, Andrea Bruni, Marco Giani, Eugenio Garofalo, Nicolò Sella, Tommaso Pettenuzzo, Arianna Peralta, Michela Bombino, Matteo Palcani, Emanuele Rezoagli, Matteo Pozzi, Elena Falcioni, Eugenio Biamonte, Francesco Murgolo, Leonardo Gottin, Federico Longhini, Salvatore Grasso, Paolo Navalesi, Giuseppe Foti

“…<b>Background:</b> Veno-venous extracorporeal membrane oxygenation (V-V ECMO) represents a progressively adopted life-sustaining intervention worldwide, particularly in the management of acute respiratory distress syndrome. Nevertheless, data concerning the prognostic significance of fungal isolation in this setting remain unclear. …”
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Long-term maintenance of a Deltacoronavirus infecting multiple bird species in Antarctica by Fernanda Gomes, Alexandre Freitas da Silva, Tatiana Prado, Paola Cristina Resende, Leonardo Corrêa Da Silva Junior, Wim Degrave, Maithê Magalhães, Adriana Vivioni, Yago José Mariz Dias, Marilda Siqueira, Martha Brandão, Luciana R. Appolinario, Gabriel da Luz Wallau, Maria Ogrzewalska

“…These findings stress the need for increased viral surveillance in the Antarctic region, which could help protect local wildlife and provide essential data for understanding viral dynamics and infection in natural settings. …”
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Predicting isolated impaired glucose tolerance without oral glucose tolerance test using machine learning in Chinese Han men by Lin Wang, Jing Xie, Zhaoyan Gu, Xinyu Miao, Lichao Ma, Shuangtong Yan, Yanping Gong, Chunlin Li, Banruo Sun, Yue Ruan

“…These models could complement existing early diagnostic strategies, thereby enhancing the early detection and prevention of diabetes. Additionally, FPG alone could serve as an efficient screening tool for the early identification of I-IGT in clinical settings.…”
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Evaluating glial and neuronal blood biomarkers GFAP and UCH-L1 as gradients of brain injury in concussive, subconcussive and non-concussive trauma: a prospective cohort study by Mark R Zonfrillo, Linda Papa, Robert D Welch, Lawrence M Lewis, Carolina F Braga, Ciara N Tan, Neema J Ameli, Marco A Lopez, Crystal A Haeussler, Diego Mendez Giordano, Philip A Giordano, Jose Ramirez, Manoj K Mittal

“…Objectives To evaluate the ability of glial fibrillary acidic protein (GFAP) and ubiquitin C-terminal hydrolase (UCH-L1) to detect concussion in children and adult trauma patients with a normal mental status and assess biomarker concentrations over time as gradients of injury in concussive and non-concussive head and body trauma.Design Large prospective cohort study.Setting Three level I trauma centres in the USA.Participants Paediatric and adult trauma patients of all ages, with and without head trauma, presenting with a normal mental status (Glasgow Coma Scale score of 15) within 4 hours of injury. …”
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Revolutionizing Sperm Analysis with AI: A Review of Computer-Aided Sperm Analysis Systems by Francisco J. Baldán, Diego García-Gil, Carlos Fernandez-Basso

“…However, limitations persist, such as the dependency on large, high-quality annotated datasets for training DL models, potential challenges in model generalizability across diverse clinical settings, and the “black-box” nature of some complex algorithms, alongside crucial needs for rigorous clinical validation, data standardization, and ethical management of sensitive information. …”
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SavvyCNV: Genome-wide CNV calling from off-target reads. by Thomas W Laver, Elisa De Franco, Matthew B Johnson, Kashyap A Patel, Sian Ellard, Michael N Weedon, Sarah E Flanagan, Matthew N Wakeling

“…We have developed a new tool, SavvyCNV, to exploit this 'free data' to call CNVs across the genome. We benchmarked SavvyCNV against five state-of-the-art CNV callers using truth sets generated from genome sequencing data and Multiplex Ligation-dependent Probe Amplification assays. …”
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A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira, Jessica N. A. Campbell

“…To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. …”
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A virtual coastal band-driven optimization-based bathymetric approach (VOBA) for optically shallow water with multispectral imagery by Yongming Liu, Shilin Tang, Bin Cao, Zhantang Xu, Xulong Liu, Kai Zeng, Yuye Huang, Wendi Zheng

“…The new approach, called the virtual coastal band-driven optimization-based bathymetric approach (VOBA), was validated with in situ reflectance data, 3 simulated reflectance data sets, and 18 satellite-based images (6 high-spatial-resolution images of Gaofen-2, Ziyuan-3, and Worldview-2 for 4 study sites in China and 12 TM or ETM+ images for 12 different sites worldwide) that cover similar optically shallow waters. …”
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Deciphering the interaction between the expression of LRP2 served as a mitochondrial metabolism-related gene and prognosis in colon cancer integrating multi-omics analysis by Jie Zhang, Ziyun Liu, Xiaoqing Ma, Zhenyu Shi, Jing Zhao, Yongjie Xie, Xiaobin Shang, Xia Zhang

“…Transcriptomics data was continuously implemented to compare the discrepancy between the expression levels of the target gene and somatic mutation burden, inspecting the key pathways of the target gene by gene set enrichment analysis (GSEA) and examining its drug sensitivity synthetically in the CellMiner databases. …”
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Implementasi Algoritma Support Vector Machine (SVM) Untuk Klasifikasi Penyakit Stroke by Danis Rifa Nurqotimah, Ahsanun Naseh Khudori, Risqy Siwi Pradini

“…The SVM is a learning method used in medical diagnosis for classification, the researchers processed data sets using the Orange tool. The study used data sets from the data.world.com site with a total of 40,910 data. …”
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ENZYMAP: exploiting protein annotation for modeling and predicting EC number changes in UniProt/Swiss-Prot. by Sabrina de Azevedo Silveira, Sabrina de Azevedo Silveira, Raquel Cardoso de Melo-Minardi, Carlos Henrique da Silveira, Marcelo Matos Santoro, Wagner Meira

“…We evaluated ENZYMAP experimentally, using test data sets from both UniProt/Swiss-Prot and UniProt/TrEMBL, and showed that predicting EC changes using selected types of annotation is possible. …”
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Development of a culture-independent whole-genome sequencing of Nipah virus using the MinION Oxford Nanopore platform by Md. Mahfuzur Rahman, Mojnu Miah, Mohammad Enayet Hossain, Samiur Rahim, Sharmin Sultana, Syed Moinuddin Satter, Ariful Islam, Shannon L. M. Whitmer, Jonathan H. Epstein, Christina F. Spiropoulou, John D. Klena, Tahmina Shirin, Joel M. Montgomery, Maria E. Kaczmarek, Mohammed Ziaur Rahman, Iqbal Kabir Jahid

“…It is a cost-effective, rapid, and efficient approach to the WGS of NiV, making it suitable for resource-limited settings like Bangladesh. The method enhances the capacity for outbreak investigations, epidemiological analyses, and monitoring virus, aiding in detecting emerging strains. …”
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In-situ calibration of Ishii-type multicomponent borehole strainmeters deployed in southwest Japan by Norio Matsumoto, Osamu Kamigaichi, Suguru Yabe

“…We provide calibration matrices for 13 Ishii-type borehole strainmeters that will be useful for future geodetic studies in southwest Japan using these strain data sets. Graphical Abstract…”
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