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Variations in perfusion detectable in advance of microstructure in white matter aging

Author(s): Robinson TD; Sun YL; Chang PTH; Gauthier CJ; Chen JJ;

One of the most promising interventional targets for brain health is cerebral perfusion, but its link to white matter (WM) aging remains unclear. Motivated by existing literature demonstrating links between declining cortical perfusion and the development of WM hyperintensities, we posit that regional WM hypoperfusion precedes deteriorating WM integrity. ...

Article GUID: 40694306


24-hour activity cycle behaviors and gray matter volume in mild cognitive impairment

Author(s): Balbim GM; Boa Sorte Silva NC; Falck RS; Kramer AF; Voss MW; Liu-Ambrose T;

Introduction: The 24-hour activity cycle (24-HAC) includes physical activity (PA), sedentary behavior (SB), and sleep. The 24-HAC composition and brain health relationship in adults with mild cognitive impairment (MCI) remains underexplored. We examined associations between 24-HAC composition and gray matter (GM) volume. Methods: Cross-sectional study in ...

Article GUID: 40693459


Evolution from the physical process-based approaches to machine learning approaches to predicting urban floods: a literature review

Author(s): Md Shike Bin Mazid Anik

Urban flooding has become a growing concern for many cities due to accelerating urbanisation, changing weather, and drainage system aging. Earlier studies of floods have taken primarily the traditional process-based approach to predicting urban floods, offering limited exploration of recent advancements in AI-driven, real-time, and community-integrated ap ...

Article GUID: 40692624


Recovery of phenotypically sorted cells using droplet-digital microfluidics

Author(s): Deng Z; Perry JM; Weiss M; Genth R; Autour A; Merten CA; Shih SCC;

Droplet microfluidics has become a ubiquitous and powerful tool for high-throughput phenotypic screening at the single-cell level. Large numbers of cells can be sorted for a variety of functions, including the secretion of antibodies with tailored properties. The recovery of cells from sorted droplets is still very poor compared to droplet sorting, usuall ...

Article GUID: 40693295


Comparative proteomic analysis of self-compatible and self-incompatible genotypes of fennel (Foeniculum vulgare Mill.)

Author(s): Mirzahosseini Z; Shabani L; Sabzalian MR; Shojaiefar S; Dayanandan S;

In this study, a comparative proteomic analysis was conducted on four agriculturally important genotypes of fennel (Foeniculum vulgare Mill.) named Yazd, Tabriz, Varamin, and Karaj to identify effective proteins and mechanisms involved in self-incompatibility. Self-pollinated and open-pollinated seeds from each genotype were planted in separate lines. The ...

Article GUID: 40691524


Comparative Analysis of Preferences and Willingness to Pay for COVID-19 Vaccine Among Individuals With and Without Chronic Diseases: A Discrete Choice Experiment Approach

Author(s): Begum A; Uddin MA; Ahsan SM; Islam MA;

Background and aims: The rapid development and deployment of COVID-19 vaccines have been pivotal in the global battle against the pandemic. However, vaccine acceptance remains a critical determinant of their effectiveness. While numerous studies have explored factors influencing vaccine acceptance, there is a notable dearth of research regarding preferenc ...

Article GUID: 40687549


Speech, Timbre, and Pitch Perception in Cochlear Implant Users With Flat-Panel CT-Based Frequency Reallocations: A Longitudinal Prospective Study

Author(s): Gilbert ML; Lewis RM; Deroche MLD; Jiam NT; Jiradejvong P; Mo J; Cooke DL; Limb CJ;

Hypothesis: To determine whether chronic use of experimental computed tomography (CT)-based frequency allocations would improve cochlear implant (CI) user performance in the areas of speech and music perception, as compared to the clinical default frequency mapping provided by the CI manufacturer. Background: CIs utilize default frequency maps to distrib ...

Article GUID: 40689899


Wearable biosensors: A comprehensive overview

Author(s): Wu KY; Su ME; Kim Y; Nguyen L; Marchand M; Tran SD;

Wearable biosensors are revolutionizing the landscape of modern healthcare by enabling continuous, non-invasive monitoring and real-time diagnostics across a myriad of medical applications. This chapter provides a comprehensive overview of wearable biosensors, beginning with an exploration of their fundamental components, including biological elements, tr ...

Article GUID: 40683741


Advanced lithium-ion battery process manufacturing equipment for gigafactories: Past, present, and future perspectives

Author(s): Nekahi A; Feyzi E; Srivastava M; Yeganehdoust F; Madikere Raghunagtha Reddy AK; Zaghib K;

Lithium-ion battery cell manufacturing depends on a few key raw materials and equipment manufacturers. Battery manufacturing faces global challenges and opportunities as various regions, including Asia, Europe, North America, and emerging markets, seek to scale gigafactory production and innovate equipment manufacturing pathways. Regions can enhance batte ...

Article GUID: 40678540


A longitudinal person-centered analysis of anxiety sensitivity risk for young adult alcohol misuse: Examining the role of injunctive norms

Author(s): Corran C; Morin AJS; Hendershot CS; O' Connor RM;

Background: Alcohol use and problems increase during adolescence and peak in early adulthood. Tension reduction theory points to anxiety sensitivity as a risk factor for alcohol misuse, and the theory of planned behavior suggests that injunctive norms (i.e., perceived approval of risky drinking) may be central to this risk trajectory. Methods: This study ...

Article GUID: 40667852


Disentangled representation learning for multi-view clustering via von Mises-Fisher hyperspherical embedding

Author(s): Li Z; Luo Z; Bouguila N; Su W; Fan W;

Multi-view clustering has gained significant attention due to its ability to integrate data from diverse perspectives, frequently outperforming single-view approaches. However, existing methods often assume a Gaussian distribution within the latent embedding space, which can degrade performance when handling high-dimensional data or data with complex, non ...

Article GUID: 40664160


Joint enhancement of automatic chest x-ray diagnosis and radiological gaze prediction with multistage cooperative learning

Author(s): Qiu Z; Rivaz H; Xiao Y;

Background: As visual inspection is an inherent process during radiological screening, the associated eye gaze data can provide valuable insights into relevant clinical decision processes and facilitate computer-assisted diagnosis. However, the relevant techniques are still under-explored. Purpose: With deep learning becoming the state-of-the-art for com ...

Article GUID: 40665596


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