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Attention-Fusion-Based Two-Stream Vision Transformer for Heart Sound Classification

Author(s): Ranipa K; Zhu WP; Swamy MNS;

Vision Transformers (ViTs), inspired by their success in natural language processing, have recently gained attention for heart sound classification (HSC). However, most of the existing studies on HSC rely on single-stream architectures, overlooking the advantages of multi-resolution features. While multi-stream architectures employing early or late fusion ...

Article GUID: 41155032


Lung Nodule Malignancy Classification Integrating Deep and Radiomic Features in a Three-Way Attention-Based Fusion Module

Author(s): Khademi S; Heidarian S; Afshar P; Mohammadi A; Sidiqi A; Nguyen ET; Ganeshan B; Oikonomou A;

In this study, we propose a novel hybrid framework for assessing the invasiveness of an in-house dataset of 114 pathologically proven lung adenocarcinomas presenting as subsolid nodules on Computed Tomography (CT). Nodules were classified into group 1 (G1), which included atypical adenomatous hyp ...

Article GUID: 41150036


Quality Assessment of Health Information on Social Media During a Public Health Crisis: Infodemiology Study

Author(s): Haghighi R; Farhadloo M;

Background: The quality of health information on social media is a major concern, especially during the early stages of public health crises. While the quality of the results of the popular search engines related to particular diseases has been analyzed in the literature, the quality of health-related information on social media, such as X (formerly Twitt ...

Article GUID: 41135052


Toward a Sustainable Future: A Holistic Environmental, Social, and Economic Assessment of Industrial Recycling for All-Solid-State Batteries with Oxide-Based Electrolytes

Author(s): Wang Z; Tian X; Zhao S; Zhang P; An C;

The increasing demand for lithium-ion batteries has raised concerns about resource scarcity, battery accident risks, and end-of-life battery management. All-solid-state batteries (ASSBs) are emerging as a promising alternative due to their higher energy density and thermal stability. However, the large-scale production of ASSBs necessitates the developmen ...

Article GUID: 41073076


A year of nouns from English-learning infants daily lives: The SEEDLingS-Nouns dataset

Author(s): Kalenkovich E; Koorathota S; Tor S; Amatuni A; Egan-Dailey S; Moore C; Laing C; Garrison H; Baudet G; Bulgarelli F; Uner S; Righter L; Bergelson E;

This paper describes a dataset consisting of manually annotated nouns from a corpus of longitudinal day-long audio and hour-long video recordings collected monthly from 44 babies from age 6 months to age 17 months. This dataset was created as part of a larger project, called SEEDLingS, that exami ...

Article GUID: 41034519


Deep learning-based feature discovery for decoding phenotypic plasticity in pediatric high-grade gliomas single-cell transcriptomics

Author(s): Abicumaran Uthamacumaran

Advancements in AI-powered systems medicine have revolutionized biomarker discovery through emergent and explainable features. By use of complex network dynamics and graph-based machine learning, we identified critical determinants of lineage-specific plasticity across the single-cell transcriptomics of pediatric high-grade glioma (pHGGs) subtypes: IDHWT ...

Article GUID: 40848317


Efficient neural encoding as revealed by bilingualism

Author(s): Moore C; Donhauser PW; Klein D; Byers-Heinlein K;

The remarkable human capacity for bilingual and multilingual acquisition raises fundamental questions about how the brain develops efficient systems for processing multiple languages. In this study, we used neural network models trained on natural speech input to examine how these efficient representations emerge. Our models show that multiple phonologica ...

Article GUID: 40828024


Feasibility analysis of recycling and repurposing end-of-life vehicle batteries in isolated island areas: A case study in British Columbia, Canada

Author(s): Wang Z; Lyu L; Huang G; An C;

The increasing adoption of electric vehicles (EVs) is widely recognized as a pivotal strategy for mitigating climate change. However, the surge in EV usage brings significant challenges regarding the end-of-life management of lithium-ion batteries, particularly in geographically isolated islands, such as Vancouver Island, Canada. This study addresses the ...

Article GUID: 40795495


MedCLIP-SAMv2: Towards universal text-driven medical image segmentation

Author(s): Koleilat T; Asgariandehkordi H; Rivaz H; Xiao Y;

Segmentation of anatomical structures and pathologies in medical images is essential for modern disease diagnosis, clinical research, and treatment planning. While significant advancements have been made in deep learning-based segmentation techniques, many of these methods still suffer from limitations in data efficiency, generalizability, and interactivi ...

Article GUID: 40779830


Inferring concussion history in athletes using pose and ground reaction force estimation and stability analysis of plyometric exercise videos

Author(s): Alves W; Babouras A; Martineau PA; Schutt D; Robbins S; Fevens T;

Concussions present a significant risk to athletes, with females exhibiting higher rates and prolonged recovery times than males. Current sideline concussion detection methods, such as the King-Devick test commonly used as a rapid screening tool designed to evaluate eye movement, attention, language, and cognitive processing abilities suffer from validity ...

Article GUID: 40632382


PARPAL: PARalog Protein Redistribution using Abundance and Localization in Yeast Database

Author(s): Greco BM; Zapata G; Dandage R; Papkov M; Pereira V; Lefebvre F; Bourque G; Parts L; Kuzmin E;

Whole-genome duplication (WGD) events are common across various organisms; however, the retention and evolution of WGD paralogs is not fully understood. Quantitative measure of protein redistribution in response to the deletion of their WGD paralog provides insight into sources of gene retention. ...

Article GUID: 40580499


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