EFNet: estimation of left ventricular ejection fraction from cardiac ultrasound videos using deep learning by Waqas Ali, Wesam Alsabban, Muhammad Shahbaz, Ali Al-Laith, Bassam Almogadwy

“…The ejection fraction (EF) is a vital metric for assessing cardiovascular function through cardiac ultrasound. Manual evaluation is time-consuming and exhibits high variability among observers. …”
Get full text

Corchorus olitorius (Jute) fiber enforced sustainable polymeric dressing material for antimicrobial activity by Gupta Swati Sanjaykumar, Rishabha Malviya, Dhanalekshmi Unnikrishnan Meenakshi, Sathvik Belagodu Sridhar

“…Drug delivery to wounds has developed over time from the rudimentary administration of medication on the wound or the site of infection to more sophisticated drug delivery systems. …”
Get full text

DETEC-ADHD: A Data-Driven Web App for Early ADHD Detection Using Machine Learning and Electroencephalography by Ismael Santarrosa-López, Giner Alor-Hernández, Maritza Bustos-López, Jonathan Hernández-Capistrán, Laura Nely Sánchez-Morales, José Luis Sánchez-Cervantes, Humberto Marín-Vega

“…By integrating diverse data sources with real-time EEG analysis, DETEC-ADHD provides a scalable, cost-effective, and accessible solution for ADHD detection and subtype identification, addressing diagnostic challenges and supporting healthcare providers, particularly in resource-limited environments.…”
Get full text

Warming alters plankton body-size distributions in a large field experiment by Dania Albini, Emma Ransome, Alex J. Dumbrell, Samraat Pawar, Eoin J. O’Gorman, Thomas P. Smith, Thomas Bell, Michelle C. Jackson, Guy Woodward

“…These results underscore the need to capture intergenerational responses to large gradients in warming at appropriate scales in time and space in order to better understand the effects of warming on natural communities and ecosystems.…”
Get full text

Deep learning and smart energy-based lightweight urban power load forecasting model for sustainable urban growth by Haewon Byeon, Azzah AlGhamdi, Ismail Keshta, Mukesh Soni, Sultonali Mekhmonov, Gurpreet Singh

“…Future work will focus on real-time applications and broader smart grid systems.…”
Get full text

Coexistence of immunoglobulin G4-related kidney disease and acute hematogenous disseminated pulmonary tuberculosis: a case report by Fangfang Zhou, Hanqing Chu, Youjun Xu, Yena Zhang, Kuibi Tan, Jinxia Ge, Ningjun Shao, Qun Luo

“…Early recognition and timely treatment are important for averting its progression. …”
Get full text

Numerical solution of a spatio-temporal gender-structured model for hantavirus infection in rodents by Raimund BÜrger, Gerardo Chowell, Elvis GavilÁn, Pep Mulet, Luis M. Villada

“…This method involves techniques of weighted essentially non-oscillatory (WENO) reconstructions in combination with implicit-explicit Runge-Kutta (IMEX-RK) methods for time stepping. The numerical results demonstrate significant differences in the spatio-temporal behavior predicted by the different models, which suggest future research directions.…”
Get full text

Comparison of Nulliparas Undergoing Cesarean Section in First and Second Stages of Labour: A Prospective Study in a Tertiary Teaching Hospital by Ayhan Sucak, Şevki Çelen, Eren Akbaba, Sunullah Soysal, Ozlem Moraloglu, Nuri Danışman

“…A total of 1389 women underwent cesarean section at this 12 month time period. Of these 1389 cesarean sections, 1271 were in the first stage of the labour and 171 were in the second stage of the labour. …”
Get full text

An Efficient Edge-Based System for Nucleated Oval-Shaped Red Blood Cell Counting by Carlo Centofanti, Daniele Lozzi, Ciro Cococcetta, Andrea Marotta

“…Our system leverages MEC to enable real-time processing and privacy-preserving data management, setting a new benchmark for avian blood diagnostics in terms of cost-effectiveness and accuracy. …”
Get full text

Detecting Unauthorized Movement of Radioactive Material Packages in Transport with an Adam-Optimized BP Neural Network Model by Panpan Jiang, Xiaohua Yang, Yaping Wan, Tiejun Zeng, Mingxing Nie, Chaofeng Wang, Yu Mao, Zhenghai Liu

“…This method also enables real-time detection of unauthorized removal of radioactive materials and effectively enhances the security of radioactive materials during transport to reduce the risks of theft, loss, diversion, or sabotage.…”
Get full text

Spectral Analysis of Light-Adapted Electroretinograms in Neurodevelopmental Disorders: Classification with Machine Learning by Paul A. Constable, Javier O. Pinzon-Arenas, Luis Roberto Mercado Diaz, Irene O. Lee, Fernando Marmolejo-Ramos, Lynne Loh, Aleksei Zhdanov, Mikhail Kulyabin, Marek Brabec, David H. Skuse, Dorothy A. Thompson, Hugo Posada-Quintero

“…In a series of ERGs collected in ASD (<i>n</i> = 77), ADHD (<i>n</i> = 43), ASD + ADHD (<i>n</i> = 21), and control (<i>n</i> = 137) groups, this analysis explores the use of machine learning and feature selection techniques to improve the classification between these clinically defined groups. Standard time domain and signal analysis features were evaluated in different machine learning models. …”
Get full text

Sparse Aperture Inverse Synthetic Aperture Radar Imaging for Maneuvering Targets With Migration Through Resolution Cells Correction by Jiaxing Yang, Yong Wang

“…After translational motion compensation, the nonstationary echo is intercepted by the short time window to extract the stationary echo. The missing data iterative adaptive approach-based random missing signal recovery and the interpolation-based MTRC correction are successively applied to the stationary echo. …”
Get full text

Microstructure, hardness and interfacial energy in Co-9Al-10W-xNi (x=15, 25, 35 at. %) alloys during aging by Che C., Yang S., Wei M., Zhang L., Li Q., Gao J., Du Y.

“…The temporal evolution of the microstructure and hardness in the Co-9Al-10W-xNi (x=15, 25, 35) alloys during aging process was measured, from which the effect of additional Ni contents, aging temperature and time on microstructure and hardness in the three Co-Al- W-Ni alloys was analyzed. …”
Get full text

A Case Control Study on Risk Factors Associated with Low Birth Weight Babies in Eastern Nepal by Ravi Kumar Bhaskar, Krishna Kumar Deo, Uttam Neupane, Subhadra Chaudhary Bhaskar, Birendra Kumar Yadav, Hanoon P. Pokharel, Paras Kumar Pokharel

“…Finally, after multivariate logistic regression analysis, maternal height, time of first antenatal care (ANC) visit, number of ANC visits, iron supplementation, calcium supplementation, maternal education, any illness during pregnancy, and hypertension were found as the significant predictors of LBW. …”
Get full text

The BRAIN Initiative data-sharing ecosystem: Characteristics, challenges, benefits, and opportunities by Sudhanvan Iyer, Kathryn Maxson Jones, Jill O Robinson, Nicole R Provenza, Dominique Duncan, Gabriel Lázaro-Muñoz, Amy L McGuire, Sameer A Sheth, Mary A Majumder

“…Finally, the multiple archives offer ample raw material for network evolution in response to the needs of neuroscientists over time. Our first objective in this paper is to provide a guide to the BRAIN Initiative data-sharing ecosystem for readers interested in sharing and reusing neuroscience data. …”
Get full text

Lactobacillus acidophilus Endocarditis Complicated by Pauci-Immune Necrotizing Glomerulonephritis by Vivian O. Chukwurah, Comfort Takang, Chinelo Uche, David B. Thomas, Waguih El Masry, Hakan R. Toka

“…Rapidly progressive glomerulonephritis (RPGN) is a nephrological emergency manifested by autoimmune-mediated progressive loss of renal function over a relatively short period of time. Here, we report the case of a 60-year-old Caucasian male, who presented with speech impairment and was found to have multiple embolic strokes caused by aortic valve IE. …”
Get full text

Identification of a novel immunogenic cell death-related classifier to predict prognosis and optimize precision treatment in hepatocellular carcinoma by Dongjing Zhang, Bingyun Lu, Qianqian Ma, Wen Xu, Qi Zhang, Zhiqi Xiao, Yuanheng Li, Ren Chen, An-jiang Wang

“…High ICD score indicated an immune-excluded TME phenotype, with lower anticancer immunity and shorter survival time. In contrast, low ICD score corresponded to abundant immune cell infiltration, high sensitivity to immunotherapy and a positive prognosis, indicating an “immune-hot” phenotype. …”
Get full text

Application Progress of Food 4D Printing Technology in Food Industry by Qiang TONG, Shuailei XIAO, Ye BI, Hao WU, Xiuping DONG

“…4D printing technology, as an emerging printing technique that adds the dimension of "time" to 3D printing, not only enables the construction of complex structures in three-dimensional space but also allows for self-assembly and shape transformation of printed objects through pre-programmed material deformation. …”
Get full text

Wavelength Tuning Free Transceiver Module in OLT Downstream Multicasting 4λ × 10 Gb/s TWDM-PON System by M. S. Salleh, A. S. M. Supa’at, S. M. Idrus, S. Yaakob, Z. M. Yusof

“…We propose a new architecture of dynamic time-wavelength division multiplexing-passive optical network (TWDM-PON) system that employs integrated all-optical packet routing (AOPR) module using 4λ×10 Gbps downstream signal to support 20 km fiber transmission. …”
Get full text

Methodological Approaches to Comparative Trend Analyses: The Case of Adolescent Toothbrushing by Torbjørn Torsheim, Frank J. Elgar, Alina Cosma, Alina Cosma, Caroline Residori, Oddrun Samdal, Christina Schnohr, Christina Schnohr

“…Using logistic regression models and generalized linear mixed models, toothbrushing daily was regressed on time, following the three approaches to analysis of trends.ResultsThe stratified approach suggested a positive but non-linear trend in toothbrushing from 2006 to 2022 in most countries but provided no statistical inference on the variation. …”
Get full text