The Relationship Between BRI and Depressive Symptoms in Chinese Older Adults: A CLHLS-Based Study.

Background: There is a lack of research examining the association between obesity and depressive symptoms in relation to mental health. This study aimed to examine the correlation between Body Roundness Index (BRI) and depressive symptoms in elderly Chinese individuals.

Methods: The study sample consisted of 11,842 individuals aged 65 years or older from the 2018 Chinese Longitudinal Health Longevity Survey (CLHLS) database.

Tensor dictionary-based heterogeneous transfer learning to study emotion-related gender differences in brain.

In practice, collecting auxiliary labeled data with same feature space from multiple domains is difficult. Thus, we focus on the heterogeneous transfer learning to address the problem of insufficient sample sizes in neuroimaging. Viewing subjects, time, and features as dimensions, brain activation and dynamic functional connectivity data can be treated as high-order heterogeneous data with heterogeneity arising from distinct feature space.

Integrated Transcriptomic and Machine Learning Analysis Identifies as a Diagnostic Biomarker and Key Pathogenic Factor in Parkinson's Disease.

Background: Parkinson's disease (PD) is a prevalent neurodegenerative disorder characterized by the progressive loss of dopaminergic neurons. This study aims to discover potential new genetic biomarkers for PD.

Methods: Transcriptome data from a total of 56 patients with PD and 61 healthy controls were downloaded from the Gene Expression Omnibus (GEO) database.

Efficacy of Terpinen-4-ol Combined With Eyelid Deep Cleaning for the Treatment of Demodex Blepharitis: A Randomized, Open-Label Trial.

Purpose: We aimed to evaluate the clinical efficacy of a combined treatment regimen involving terpinen-4-ol (T4O) and eyelid deep cleaning for managing Demodex blepharitis.

Methods: In this randomized, open-label trial, 40 patients diagnosed with Demodex blepharitis at the Cornea Specialty Clinic of Hankou Aier Eye Hospital were enrolled. Participants were randomly assigned to either a T4O or a combination treatment group.

Atheroma transcriptomics identifies ARNTL as a smooth muscle cell regulator and with clinical and genetic data improves risk stratification.

Background And Aims: The role of vascular smooth muscle cells (SMCs) in atherosclerosis has evolved to indicate causal genetic links with the disease. Single cell RNA sequencing (scRNAseq) studies have identified multiple cell populations of mesenchymal origin within atherosclerotic lesions, including various SMC sub-phenotypes, but it is unknown how they relate to patient clinical parameters and genetics. Here, mesenchymal cell populations in atherosclerotic plaques were correlated with major coronary artery disease (CAD) genetic variants and functional analyses performed to identify SMC markers involved in the disease.

Comprehensive effects of tea branch biochar on antibiotic resistance profiles and C/N/S cycling in the compost microbiota of animal manure.

The comprehensive effects of exogenous additives on microbial-driven antibiotic resistance profiles and C/N/S conversion in animal manure composting remains uncertain. This study examined whether tea branch biochar could regulate the microflora involved in antibiotic resistance and C/N/S conversion during pig and chicken manure composting. Compared with the control treatment, biochar addition prolonged the high-temperature period (>55 °C) for 1-2 days and raised the maximum temperature in chicken manure composting.

[''s collection of books and his philosophy on traditional Chinese medicine acupuncture education].

The medical books that ' once studied and collected are the significant physical evidence of his educational experiences of traditional Chinese medicine acupuncture. Some of these books are stored in Jiangsu Museum of Traditional Chinese Medicine. Through systematic collation, it is found that the collection of books is closely related to his experiences in education, teaching and medicine communication.

An Explainable Unified Framework of Spatio-Temporal Coupling Learning with Application to Dynamic Brain Functional Connectivity Analysis.

Time-series data such as fMRI and MEG carry a wealth of inherent spatio-temporal coupling relationship, and their modeling via deep learning is essential for uncovering biological mechanisms. However, current machine learning models for mining spatio-temporal information usually overlook this intrinsic coupling association, in addition to poor explainability. In this paper, we present an explainable learning framework for spatio-temporal coupling.

Prediction model for treatment outcomes 3 years after corneal cross-linking for keratoconus.

Purpose: This study aimed to identify preoperative factors that predict visual acuity and Kmax 3 years after corneal cross-linking (CXL) in patients with keratoconus (KC), and to develop a prediction model.

Methods: We enrolled 68 patients with KC and followed up on 100 eyes that received CXL for at least 3 years. Preoperative data, including age, UDVA, CDVA, cylinder, SE, and the parameters of tomography including Kmax were collected as predictors.

Therapeutic effectiveness of different machines in intense pulsed light treatment of meibomian gland dysfunction.

Purpose: This study aimed to determine the therapeutic effectiveness of different machines in intense pulsed light (IPL) treatment of meibomian gland dysfunction (MGD).

Methods: 213 subjects diagnosed with MGD underwent three sessions of IPL treatment in a control (M22) treatment group or experimental (OPL-I) treatment group and were followed up three to four weeks after each session. Tear breakup time (TBUT), meibomian gland secretion scores (MGSS), meibomian gland meibum scores (MGMS), corneal fluorescein staining (CFS) scores, and the Standard Patient Evaluation of Eye Dryness (SPEED) was used to assess eye dryness signs and symptoms at baseline and follow-up visits.

Dynamic Active Sites in Electrocatalysis.

In-depth understanding of the real-time behaviors of active sites during electrocatalysis is essential for the advancement of sustainable energy conversion. Recently, the concept of dynamic active sites has been recognized as a potent approach for creating self-adaptive electrocatalysts that can address a variety of electrocatalytic reactions, outperforming traditional electrocatalysts with static active sites. Nonetheless, the comprehension of the underlying principles that guide the engineering of dynamic active sites is presently insufficient.

Reliable imputation of spatial transcriptomes with uncertainty estimation and spatial regularization.

Imputation of missing features in spatial transcriptomics is urgently needed due to technological limitations. However, most existing computational methods suffer from moderate accuracy and cannot estimate the reliability of the imputation. To fill this research gap, we introduce a computational model, TransImpute, that imputes the missing feature modality in spatial transcriptomics by mapping it from single-cell reference data.

A bibliometric insight into nanomaterials in vaccine: trends, collaborations, and future avenues.

Background: The emergence of nanotechnology has injected new vigor into vaccine research. Nanovaccine research has witnessed exponential growth in recent years; yet, a comprehensive analysis of related publications has been notably absent.

Objective: This study utilizes bibliometric methodologies to reveal the evolution of themes and the distribution of nanovaccine research.

Cardamonin intervenes in myocardial hypertrophy progression by regulating Usp18.

Background: Myocardial hypertrophy is a chronic cardiac condition that often occurs from long-term pressure or volumetric load on the heart. Propranolol hydrochloride has been employed in research on hypertension, pheochromocytoma, myocardial infarction, arrhythmias, angina pectoris, and hypertrophic cardiomyopathy. Current treatments for this condition have side effects, such as arrhythmias and myocardial cell death, thus necessitating safer and more effective alternatives.

Red Blood Cell Membrane Spontaneously Coated Nanoprodrug Based on Phosphatidylserine for Antiatherosclerosis Applications.

Atherosclerosis (AS) is characterized by the accumulation of lipids within the walls of coronary arteries, leading to arterial narrowing and hardening. It serves as the primary etiology and pathological basis for cardiovascular diseases affecting the heart and brain. However, conventional pharmacotherapy is constrained by inadequate drug delivery and pronounced toxic side effects.