Detection of Urinary Analytes due to Schistosoma haematobium Infection among School Children for Possible Application in Screening for Urinary Schistosomiasis by Henry Gabriel Bishop

“…The urine samples underwent centrifugation at 3000 revolutions per minute for 5 minutes, and the sediment from each sample was examined microscopically for Schistosoma haematobium eggs. The data were analyzed statistically at a 95% confidence interval using IBM SPSS Version 23. …”
Get full text

What is the prevalence of COVID-19 detection by PCR among deceased individuals in Lusaka, Zambia? A postmortem surveillance study by Lawrence Mwananyanda, William B MacLeod, Donald M Thea, Rachel C Pieciak, Christopher J Gill, Geoffrey Kwenda, Zachariah Mupila, Rotem Lapidot, Leah Forman, Lauren Etter, Ruth Nakazwe, Daniel Bridges, Chilufya Chikoti, Sarah Chirwa, Charles Chimoga, Ben Katowa, James Lungu, Japhet Matoba, Gift Mwinga, Benjamin Mubemba, Walter Muleya, Mulenga Mwenda, Benard Ngoma, Diana Nzara, Natalie Pawlak, Lillian Pemba, Ngonda Saasa, Edgar Simulundu, Baron Yankonde

Get full text

The Robust Detection and Spatial Distribution of Acetaldehyde in Orion KL: Atacama Large Millimeter/submillimeter Array Observations and Chemical Modeling by Miwha Jin, Anthony J. Remijan, Robin T. Garrod, Giseon Baek, Martin Cordiner, Steven Charnley, Eric Herbst, Jeong-Eun Lee

“…We analyze extensive Atacama Large Millimeter/submillimeter Array archival data sets (142–355 GHz) to search for acetaldehyde, revealing two distinct acetaldehyde emission peaks and one component with more complex kinematic structures. …”
Get full text

Cloud Removal in Full-disk Solar Images Using Deep Learning by Zhenhong Shang, Peng Du, Zhenping Qiang, Runxin Li

“…First, to create a high-quality data set of cloud-covered images, we developed a method for detecting and classifying cloudiness in H α full-disk solar images. …”
Get full text

Performance Analysis of Machine Learning Techniques for Server Health Monitoring Using Time Series Data Against DDOS Attacks by Sajja Ratan Kumar, Valli Kumari Vatsavayi

“…This study introduces a novel two-stage server health monitoring system designed to detect and assess the severity of such attacks. In Stage I: DDoS Attack Detection, binary classification techniques—machine learning methods that divide data into two groups—analyze network traffic to differentiate normal traffic from DDoS attack traffic. …”
Get full text

Domain Adaptation in Application to Gravitational Lens Finding by Hanna Parul, Sergei Gleyzer, Pranath Reddy, Michael W. Toomey

“…To discover these rare objects, efficient automated detection methods need to be developed. In this work, we assess the performance of three domain adaptation (DA) techniques—adversarial discriminative DA, Wasserstein distance guided representation learning (WDGRL), and supervised domain adaptation (SDA)—in enhancing lens-finding algorithms trained on simulated data when applied to observations from the Hyper Suprime-Cam Subaru Strategic Program. …”
Get full text

Travel time prediction for an intelligent transportation system based on a data-driven feature selection method considering temporal correlation by Amirreza Kandiri, Ramin Ghiasi, Maria Nogal, Rui Teixeira

“…Travel-time prediction is a critical component of Intelligent Transportation Systems (ITS), offering vital information for tasks such as accident detection, congestion management, and traffic flow optimisation. …”
Get full text

Deriving Early Citrus Fruit Yield Estimation by Combining Multiple Growing Period Data and Improved YOLOv8 Modeling by Menglin Zhai, Juanli Jing, Shiqing Dou, Jiancheng Du, Rongbin Wang, Jichi Yan, Yaqin Song, Zhengmin Mei

“…Combining multi-growth period data for crop analysis is of great significance for crop growth detection and early yield estimation. …”
Get full text

Merging Various Types of Remote Sensing Data and Social Participation GIS with AI to Map the Objects Affected by Light Occlusion by Yen-Chun Lin, Teng-To Yu, Yu-En Yang, Jo-Chi Lin, Guang-Wen Lien, Shyh-Chin Lan

“…The YOLOv9-E model achieved an mAP50 of 0.81 and an F1-score of 0.85 on the test set.…”
Get full text

Renal Failure among Women of Reproductive Age in Burundi: Estimating the Prevalence and Associated Factors Using Population-Based Data by Michael Ekholuenetale, Temitope Oluwaseyi Adeyoju, Herbert Onuoha, Amadou Barrow

“…Renal failure is a leading cause of morbidity and mortality in many resource-constrained settings. In developing countries, little has been known about the prevalence and predisposing factors of renal failure using population-based data. …”
Get full text

Reduced order data driven framework for computation of the unsteady lid-driven cavity flow using dynamic mode decomposition by Karim Mazaheri, Mohammad Kazem Moayyedi, Mohammad Hadi Dehghan

“…Validation of CFD computation was assessed, and independence of the DMD modes from the data collection process was investigated. A data set of 400 snapshots of the flow field at three different Reynolds numbers were used to identify the DMD modal structure. …”
Get full text

Performance of Liquid Biopsy‐Based Multi‐Omics Biomarkers for Early Detection of Gynecological Malignancies: A Prospective Study (PERCEIVE‐I) by Zheng Feng, Huijuan Ge, Jingshu Wang, Yanan Wang, Xiaoran Sun, Bo Yang, Siyu Cao, Chenlian Quan, Qinhao Guo, Yusheng Han, Feidie Duan, Fang liu, Jing Zhao, Guoqiang Wang, Yuzi Zhang, Shangli Cai, Xiaohua Wu, Hao Wen

“…Abstract Liquid biopsy is a promising approach for early detection of gynecological malignancies. In the PERCEIVE‐I study, gynecological Cancer cases (n = 249) and age‐matched non‐cancer controls (n = 249) are randomly divided into training and test sets at a 1:1 ratio. …”
Get full text

Post-treatment duration of positivity for standard and ultra-sensitive Plasmodium falciparum antigen-based rapid diagnostic tests, a cohort study from a low-endemic setting in Nami... by Henry Ntuku, Brooke Whittemore, Lucille Dausab, Ihn Kyung Jang, Allison Golden, William Sheahan, Xue Wu, Hannah Slater, Gonzalo J. Domingo, Smita Das, Elias Duarte, Lydia Eloff, Teun Bousema, Kjerstin Lanke, Cara Smith Gueye, Lisa M. Prach, Jaishree Raman, Petrina Uusiku, Stark Katokele, Roly Gosling, Bryan Greenhouse, Davis Mumbengegwi, Michelle S. Hsiang

“…The duration of test positivity has not previously been studied in a low transmission setting. Methods: We conducted a longitudinal cohort study in a low transmission setting in Namibia. …”
Get full text

Evaluating the health impact, health-system costs and cost-effectiveness of using TrueNat on stool samples compared to usual care for the diagnosis of paediatric tuberculosis in pr... by Nyashadzaishe Mafirakureva, Olugbenga Kayode Daniel, Olabamiji Jamiu Olayinka, Kingsley Chinedum Ochei, Eveline Klinkenberg, Austin Ihesie, Debby Nongo, Rupert Amanze Eneogu, Andwele Mwansasu, Emeka Uga Elom, Agbaje Vivian Aderonke, Patrick Sunday Dakum, Charles Olalekan Mensah, Oluwafemi Christopher Odola, Abiola Oladotun Olayemi, Emily Yemisi Faleye, Adekunle Omotoso Makinde, Peter J Dodd

“…We used a decision-tree analytic modelling approach, time-and-motion study, and routine data to estimate the potential impact of implementing stool-based TrueNat testing for the diagnosis of pulmonary tuberculosis in children within Nigerian primary healthcare settings on healthcare outcomes, resource use, health system costs, and cost-effectiveness relative to the standard of care (SoC). …”
Get full text

A novel sequence-based transformer model architecture for integrating multi-omics data in preterm birth risk prediction by Si Zhou, Chenchen Guan, Siwei Deng, Yibing Zhu, Wenzhi Yang, Xiao Zhang, Xinrui Wang, Jinying Yang, Shida Zhu, Hui Jiang, Jianguo Zhang, Yongcheng Jin, Danling Cheng, Hai-Xi Sun, Lijian Zhao, Hefeng Huang

“…While large language models (LLM) offer considerable potential for disease risk prediction and early detection, their application to PTB prediction using multi-omics data remains limited. …”
Get full text

Nationwide Survey on Neonatal Critical Congenital Cardiopathies in Mexico: Data from 76 Public Health Service Hospital Units by Nina Mendez-Dominguez, Ely Sanchez-Felix, Joan Johnson-Herrera, Miguel Santaularia-Tomas, Andres Ku-Gonzalez, Luis Baeza-Herrera, Adriel Ismael Alonso-Batun, Marcos Rivero-Peraza, Humberto Camara-Conde, Amonario Olivera-Mar, Russel Camara-Beltran

Get full text

Exploration of chronic kidney disease screening, diagnosis and management in Australian general practice using electronic medical record data by Daniel Petzke, Christine Mary Hallinan, Judy Trevena, Jo-Anne Manski-Nankervis

“…Abstract Background CKD is a common but under-recognised condition that places significant burden on the individual and the health system globally. Our study applied a set of primary care quality indicators originally developed and validated using Canadian primary care data for screening, diagnosis and monitoring of CKD. …”
Get full text

Machine learning enhanced expert system for detecting heart failure decompensation using patient reported vitals and electronic health records by Shumit Saha, Heather Ross, Pedro Elkind Velmovitsky, Chloe X. Wang, Julie K. K. Vishram-Nielsen, Cedric Manlhiot, Bo Wang, Joseph A. Cafazzo

Get full text

Detecting severe coronary artery stenosis in T2DM patients with NAFLD using cardiac fat radiomics-based machine learning by Mengjie Liang, Liting Fang, Xie Chen, Wendi Huang

“…In comparison, the radiomics-clinical model using XGBoost demonstrated superior detection capability, achieving an AUC of 0.883 in the training set and maintaining high performance in the validation set, with the highest F1 score, accuracy, and precision. …”
Get full text

Real-time temperature prediction of large-scale lithium battery module driven by data based on few measurement points by Jiajie HAN, Qingyang YUAN, Yu LI, Bo ZHANG, Ke XUE, Tian LAN

“…Gappy POD is particularly well-suited for scenarios with limited sensor data, as it leverages spatial correlations to reconstruct the full temperature field. …”
Get full text