DeepGenMon: A Novel Framework for Monkeypox Classification Integrating Lightweight Attention-Based Deep Learning and a Genetic Algorithm by Abdulqader M. Almars

“…However, there is still room for improvement to accurately detect and classify monkeypox cases. Furthermore, the currently proposed pre-trained deep learning models can consume extensive resources to achieve accurate detection and classification of monkeypox. …”
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Estimating malaria antigen dynamics and the time to negativity of next-generation malaria rapid diagnostic tests by William Sheahan, Allison Golden, Rebecca Barney, Smita Das, Ihn-Kyung Jang, Henry Ntuku, Xue Wu, Brooke Whittemore, Lucille Dausab, Davis Mumbengegwi, Gonzalo J. Domingo, Michelle S. Hsiang, Hannah Slater

“…Methods A longitudinal cohort study conducted in a low transmission setting in Namibia was leveraged to compare HRP2 and LDH decay rates. …”
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About the requirements of regular monitoring of doses for the eye lens of the staff working with radiopharmaceuticals by E. N. Shleenkova, S. Yu. Bazhin, G. N. Kaidanovsky, L. A. Chipiga, V. A. Ilyin

“…Petersburg were measured, the possibility of detection of  high eye lens doses for these workers was analyzed. …”
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How serious are ‘serious non-specific symptoms (SNSS)’? Evaluation of the introduction of a local SNSS pathway, and the pick-up rate of cancers, within this population by Dominic Maxfield, Alexandra Hickey, Temitope Ade-Onojobi, Rohit Sinha, John Painter, Simon Dunn

“…Introduction: As part of the NHS Long-Term Plan, ambitions were set that, from 2028, an extra 55,000 people will survive for 5 years or more following cancer diagnosis, through earlier detection. …”
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BARBIE. Bayesian Analysis for Remote Biosignature Identification on exoEarths. III. Introducing the KEN by Natasha Latouf, Michael D. Himes, Avi M. Mandell, Michael Dane Moore, Vincent Kofman, Geronimo L. Villanueva, Chris Stark

“…We deploy a newly generated set of geometric albedo spectral grids to examine the detectability of methane (CH _4 ) in the reflected-light spectrum of an Earth-like exoplanet at visible and near-infrared (NIR) wavelengths with a future exoplanet imaging mission. …”
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Cost-effectiveness of different tuberculosis diagnostic approaches in Nigeria based on decision analytical modelling by Muktar H Aliyu, Hafsat U Ibrahim, Rayyan M Garba, Jameel I Ahmad, Kabiru Abdulsalam, Yasir N Jibril, Faisal S Dankishiya, Abdullahi Ibrahim, Ibrahim U Garzali, Aisha A Galadanci, Abdullahi K Suleiman, Abdulgafar L Olawumi, Umar F Abdullahi, Fatima M Mahmud, Amina A Umar, Olive Asafu- Adjaye, Lukman F Owolabi, Baba M Musa

“…However, the Xpert MTB/RIF Ultra may provide additional value in settings with sufficient infrastructure and funding. …”
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C-terminal binding protein-2 triggers CYR61-induced metastatic dissemination of osteosarcoma in a non-hypoxic microenvironment by Laura Di Patria, Nadia Habel, Robert Olaso, Romain Fernandes, Catherine Brenner, Bojana Stefanovska, Olivia Fromigue

“…Methods Transcriptomic data issued from RNA-seq were subjected to pathways and gene set enrichment analyses. …”
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Geographic patterns and determinants of family planning satisfaction among women of reproductive age in Ethiopia by Natnael Kebede, Rahel Mulatie Anteneh, Natnael Moges, Sintayehu Simie Tsega, Melkamu Aderajew Zemene, Asaye Alamneh Gebeyehu, Melaku Ashagrie Belete, Denekew Tenaw Anley, Ermiyas Alemayehu, Ermias Sisay Chanie, Anteneh Mengist Dessie

“…Utilizing nationally representative 2021 Performance Monitoring for Action Ethiopia (PMA-ET) data, the study aims to provide targeted insights for improving family planning services. …”
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Identification and optimization of relevant factors for chronic kidney disease in abdominal obesity patients by machine learning methods: insights from NHANES 2005–2018 by Xiangling Deng, Lifei Ma, Pin Li, Mengyang He, Ruyue Jin, Yuandong Tao, Hualin Cao, Hengyu Gao, Wenquan Zhou, Kuan Lu, Xiaoye Chen, Wenchao Li, Huixia Zhou

“…Methods This study analyzed data from the National Health and Nutrition Examination Survey (NHANES) dat abase (2005–2018), to examine potential factors related to CKD, including glycolipid metabolism, dietary antioxidant intake, and pertinent medical history. …”
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Dynamical systems theory approach in oceanography: a review on achievements, limitations, verification and validation of Lagrangian methods by S. V. Prants

“…The Lagrangian approach (LA) in ocean modelling relies on a dense set of trajectories of virtual particles that can be computed using velocity fields and on a subsequent analysis of entangled trajectories of particles. …”
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Uncovering the complex interactions of mental health symptoms in Chinese college students: insights from network analysis by Wenshu Fan, Huoyin Zhang, Peng Lei, Yue Tang, Juan Du, Junyi Li

“…Inferiority, depression, and anxiety emerged as central symptoms, and revealed by community detection. The single-university setting may limit the generalizability of the findings to other populations or cultural contexts. …”
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Automated Machine Learning for Referable Diabetic Retinopathy Image Classification from Ultrawide Field Images by Leandro Victor L. Arcena, MD-MBA, Paolo S. Silva, MD

“…The dataset was split with 80% for training, 10% for validation, and 10% for testing. Two sets of published UWF image sets were used for external validation. …”
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The First AGILE Solar Flare Catalog by A. Ursi, N. Parmiggiani, M. Messerotti, A. Pellizzoni, C. Pittori, F. Longo, F. Verrecchia, A. Argan, A. Bulgarelli, M. Tavani, P. Tempesta, F. D’Amico

“…Besides providing a further data set of solar flares detected in the hard X-ray range, this study allowed to point out two main features: a longer persistence of the decay phase in the high-energy regime, with respect to the soft X-rays, and a tendency of the flare maximum to be reached later in the soft X-rays with respect to the hard X-rays. …”
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Robotic Mapping and Localization with Real-Time Dense Stereo on Reconfigurable Hardware by John Kalomiros, John Lygouras

“…The system is assessed using real scene depth detection and public reference data sets. The paper also reports resource usage and a comparison of mapping and localization results with ground truth.…”
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Unconstrained Metropolis–Hastings Sampling of Covariance Matrices by Daniel Turek

“…Markov chain Monte Carlo (MCMC), the predominant algorithm for fitting hierarchal models to data in a Bayesian setting, relies on the ability to sample from the full conditional distributions of unobserved parameters. …”
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Highly Variable Quasar Candidates Selected from 4XMM-DR13 with Machine Learning by Heng Wang, Yanli Ai, Yanxia Zhang, Yuming Fu, Wenfeng Wen, Liming Dou, Xue-Bing Wu, Xiangru Li, Zhiying Huo

“…By further cross matching with known spectral catalogs from the SDSS and LAMOST surveys, we compiled a training data set containing stars, galaxies, and quasars. …”
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Metabolomic Profiling of the Blood of Patients with Chronic Consciousness Disorders by A. A. Orlova, E. A. Kondrat'eva, Ya. A. Dubrovskii, N. V. Dryagina, E. V. Verbitskaya, S. A. Kondratev, A. A. Kostareva, A. N. Kondratev

“…The data were analyzed and visualized using MetaboAnalyst 5.0 software (https://www.metaboanalyst.ca).   …”
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Multimodal machine learning-based model for differentiating nontuberculous mycobacteria from mycobacterium tuberculosis by Hong-ling Li, Ri-zeng Zhi, Hua-sheng Liu, Mei Wang, Si-jie Yu

“…Optimal algorithm in each model was selected after evaluating the differentiation performance both in training and validation sets. The model performance was further verified using external new MTB and NTM patient data. …”
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An integrated ecological, genetic and geological assessment of long-distance dispersal by invertebrates on kelp rafts by Jonathan M. Waters, Tania M. King, Ceridwen I. Fraser, Dave Craw

“…Although geological and genetic data were informative over different scales, we detected no conflict between the inferences from these distinct data sets, a finding that reinforces the value of integrative approaches to marine biogeography.…”
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Advancing athlete safety through real-time ECG monitoring for enhanced cardiovascular health in sports performance by Zhanar Azhibekova, Aigerim Altayeva, Ainur Amirtayeva, Zeinel Momynkulov, Daniyar Sultan, Alisher

“… This research paper explores the implementation and efficacy of real-time electrocardiogram (ECG) monitoring systems for athletes, emphasizing their potential to significantly enhance safety and performance in sports settings. By utilizing advanced ECG technology, the study investigates how continuous, real-time heart rate and rhythm monitoring can aid in the immediate detection of cardiovascular anomalies during high-intensity activities. …”
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