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

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

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

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

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

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

Author(s): Mignacca M; Brugiapaglia S; Bramburger JJ;

Dynamic mode decomposition (DMD) is a numerical method that seeks to fit time-series data to a linear dynamical system. In doing so, DMD decomposes dynamic data into spatially coherent modes that evolve in time according to exponential growth/decay or with a fixed frequency of oscillation. A widespread application of DMD has been to video, where one inter ...

Article GUID: 40421310

Author(s): Yang Z; Chen Z; Lee K;

Oil pollution is a growing environmental concern due to its detrimental effect on the marine ecosystem. Rapid prediction of oil spill fate during emergency response can help responders make informed management decisions. However, instant access to reliable environmental data may be challenging, as most oil weathering models lack compatible database for pr ...

Article GUID: 40279774

Author(s): Kallel S; Amayri M; Bouguila N;

Efficient energy management relies on uncovering meaningful consumption patterns from large-scale electricity load demand profiles. With the widespread adoption of sensor technologies such as smart meters and IoT-based monitoring systems, granular and real-time electricity usage data have become available, enabling deeper insights into consumption behavio ...

Article GUID: 40218540

Author(s): Muffels IJJ; Waterham HR; D' Alessandro G; Zagnoli-Vieira G; Sacher M; Lefeber DJ; Van der Vinne C; Roifman CM; Gassen KLI; Rehmann H; Van Haaften-Visser DY; Nieuwenhuis ESS; Jackson SP; Fuchs SA; Wijk F; van Hasselt P;

Background: Deciphering variants of uncertain significance (VUS) represents a major diagnostic challenge, partially due to the lack of easy-to-use and versatile cellular readouts that aid the interpretation of pathogenicity and pathophysiology. To address this challenge, we propose a high-through ...

Article GUID: 39920830

Author(s): Zhou S; Chen Z; Huang X; Yang X; Lyu L; An C; Peng H;

Food waste gives rise to many environmental problems. A large amount of food waste is produced by grocery retail stores. It is therefore important to apply efficient food waste treatment technologies with minimal environmental impact and investigate the optimal approach for food waste collection, transportation, and treatment. In the present study, a life ...

Article GUID: 39480576