Bidirectional Relationships Between Sleep Quality and Cognitive Function in Older Chinese Adults: Observational Analysis of SAWA Trial.

PurposeTo examine the bidirectional relationships between sleep quality and cognitive function in older Chinese, and further examine the sex differences in the relationships using the random intercept cross-lagged panel model.DesignA secondary observational analysis of a physical activity clustered randomized controlled trial (The Stay Active While Aging).SettingEight villages in Sichuan, China.

Active Supervised Cross-Modal Retrieval.

Supervised Cross-Modal Retrieval (SCMR) achieves significant performance with the supervision provided by substantial label annotations of multi-modal data. However, the requirement for large annotated multi-modal datasets restricts the use of supervised cross-modal retrieval in many practical scenarios. Active Learning (AL) has been proposed to reduce labeling costs while improving performance in various label-dependent tasks, in which the most informative unlabeled samples are selected for labeling and training.

tailored confining microenvironment for lung cancer spheroids.

The mechanical properties and physical confinement of the extracellular matrix (ECM) are crucial roles in regulating tumor growth and progression. Extensive efforts have been dedicated to replicating the physical characteristics of tumor tissue by developing two-dimensional (2D) and three-dimensional (3D) models. However, it remains a significant challenge to modulate the local microenvironment around the specific cells according to the culture progress.

2024 IEEE Scientific Visualization Contest Winner: PlumeViz: Interactive Exploration for Multi-Facet Features of Hydrothermal Plumes in Sonar Images.

Plume visualization is essential for unveiling the dynamics of hydrothermal systems. This paper introduces an interactive exploration tool, PlumeViz, designed to facilitate the extraction and visualization of multifaceted plume characteristics from data collected by a sonar device. The tool addresses the challenges posed by undersampled volume data and intricate plume structures by providing an interactive platform for plume identification, visual representation, and analysis.

Dissecting Causal Relationship Among Immune Cells, Plasma Metabolites and Coronary Atherosclerosis: A Mendelian Randomization Study.

Background: Circulating immune cells and metabolites are linked to coronary atherosclerosis, but the specific causal relationships and the role of metabolites as mediators remain unclear.

Methods: Summary statistics from GWAS datasets on immune cells (n=3,757), circulating metabolites (n=8,299), and coronary atherosclerosis (cases n=51,589; controls n=343,079) were analyzed using bidirectional Mendelian randomization. Two-step and multivariate Mendelian randomization were employed to identify mediating metabolites, with inverse variance weighting (IVW) as the primary method.