Results 91 to 100 of about 13,631 (251)

Feasibility and Reproducibility of a Structure‐Guided Deep Learning Model for Automatic Detection of the Standard Sagittal Plane in First‐Trimester Nuchal Translucency Assessment Using 3D Ultrasound

Journal of Ultrasound in Medicine, EarlyView.
Objectives Accurate nuchal translucency (NT) measurement for assessing the risk of fetal genetic abnormalities requires precise acquisition of the mid‐sagittal plane (MSP). However, achieving an appropriate MSP is technically challenging due to anatomical variability and operator dependence inherent in conventional 2‐dimensional (2D) ultrasound.
Hayan Kwon, Hyewon Hur, Hyun Cheol Cho, Yun ji Jung, Suhra Kim, Ja‐Young Kwon   +5 more
wiley   +1 more source

Knowledge Hiding by Salespeople in a B2C Context

Knowledge and Process Management, EarlyView.
ABSTRACT This study sought to explore the possible reasons why salespeople hide knowledge from customers in a business‐to‐consumer context (B2C). Based on the existing literature on knowledge hiding at the individual, organizational, and sales levels, an exploratory methodology with a qualitative approach was adopted.
Clarisse Cordeiro Medeiros Mondego, Emerson Wagner Mainardes   +1 more
wiley   +1 more source

Multitasking Across Borders: A Cross-National Study of Media Multitasking Behaviors, Its Antecedents, and Outcomes

International Journal of Communication, 2013
The study explores media multitasking behaviors of young adults in the United States, Russia, and Kuwait(N = 532). The results of multilevel modeling find that media factors such as structural, macro characteristics of media markets (e.g., technology ...
Anastasia Kononova
doaj  

Media multitasking and students’ verbal processing efficiency: the impact of digital media consumption on academic cognitive performance

Journal of Life-Span Psychology, Linguistics, and Media Studies
Background: The increasing consumption of digital media among university students has encouraged the practice of media multitasking during academic activities, such as reading course materials while simultaneously accessing social media or digital video ...
Habibi Negara, Kiki Riska Ayu
doaj   +1 more source

Leveraging Explicit Conclusions to Manage Cognitive Load in Social Media Advertising

Psychology &Marketing, EarlyView.
ABSTRACT How can advertisers break through the competition for consumers' limited mental bandwidth? Drawing on Prospect Theory and Elaboration Likelihood Model, this research examines how cognitive load shapes consumer responses to sustainability messaging on social media, focusing on ads with explicit versus implicit conclusions.
Matthew Pittman, Sitan Li, Bixuan Sun
wiley   +1 more source

Falls in Huntington's Disease: A Cross‐Sectional Analysis of Clinical Features and Potential Contributors

Movement Disorders Clinical Practice, EarlyView.
Abstract Background Falls occur across all stages of Huntington's disease (HD) and are associated with poor quality of life and injury. However, there is limited information on falls in HD. Objective The aim was to investigate the clinical features potentially associated with falls in HD. Methods We conducted a cross‐sectional, analytical observational
Arthur Pena Ferreira, Sarah Edith Souza de Assis Leão, Ricardo Oliveira Horta Maciel, Débora Palma Maia, Aline Alvim Scianni, Francisco Eduardo Costa Cardoso   +5 more
wiley   +1 more source

Artificial Intelligence for Identifying Tumor‐Reactive CD8+ T Cells: Biological Principles, Computational Advances, and Future Directions

Med Research, EarlyView.
This review details a three‐stage paradigm shift for tumor‐reactive CD8+ T‐cell identification: decoding transcriptomic states, deciphering clonal functional efficacy, and molecular‐level therapeutic TCR design. Addressing translational hurdles and generative AI “scientific blind spots”—such as missing catch bonds—we present a visionary roadmap.
Chao Yang, Yingying Sun, Yan Zhang, Yifen Shi, Zhiwen Shi   +4 more
wiley   +1 more source

AI‐Driven Synthesis in Medicinal Chemistry: Integrating Large Language Models, Robotic Automation, and Sustainability Metrics to Accelerate Drug Discovery

Medicinal Research Reviews, EarlyView.
ABSTRACT Artificial intelligence (AI) is transforming synthetic chemistry from task‐specific predictors into integrated platforms that unify retrosynthesis, reaction optimization, and closed‐loop robotic automation. This review highlights how AI‐assisted planning and robotic execution shorten cycle times, reduce step counts, and improve route ...
Amit Gangwal, Antonio Lavecchia
wiley   +1 more source

青少年數位裝置使用時間、媒體多工與認知功能及心理適應間的關聯性 The Relationship Between Screen Time, Media Multitasking and Executive Functions in Adolescents

Journal of Research in Education Sciences
本研究旨在調查臺灣青少年媒體多工的現況和探討其與認知功能及心理適應間的相關性。本研究招募12-15歲自願者參與研究，有效樣本數為291人。參與者須填答媒體多工量表、巴拉特衝動量表、心理憂鬱量表與生活滿意度量表，並以電腦化測驗評估工作記憶廣度、注意力、轉換能力、抑制功能。本研究結果發現：一、臺灣青少年數位裝置使用平均時間為每週30.98小時、媒體多工的平均分數值為2.26。二、數位裝置使用時間與工作記憶廣度、轉換能力、注意力之警覺、導引、執行控制之間沒有相關，但與注意力的反應時間有負相關。三 ...
陳佳欣 Chia-Hsin Chen, 郭郡羽 Chun-Yu Kuo   +1 more
doaj   +1 more source

Navigating the Complexity: A Comprehensive Review of GSK‐3 Inhibition in Regenerative Medicine

Medicinal Research Reviews, EarlyView.
ABSTRACT Glycogen synthase kinase‐3 (GSK‐3) is a central regulator of numerous cellular signaling pathways, with critical roles in metabolism, proliferation, differentiation, and tissue regeneration. This review explores the multifaceted effects of pharmacological GSK‐3 inhibition across multiple body districts, focusing on its highly context‐dependent
Davide Schiroli, Alessia Merra, Chiara Marraccini, Lucia Merolle, Graziella Pellegrini, Eleonora Maurizi   +5 more
wiley   +1 more source