CLEAR: Multimodal Human Activity Recognition via Contrastive Learning Based Feature Extraction Refinement.

Human activity recognition (HAR) has become a crucial research area for many applications, such as Healthcare, surveillance, etc. With the development of artificial intelligence (AI) and Internet of Things (IoT), sensor-based HAR has gained increasing attention and presents great advantages to existing work. Relying solely on existing labeled data may not adequately address the challenge of ensuring the model's generalization ability to new data.

Does diabetes modify the triglyceride-glucose index associated with cardiovascular events and mortality? A meta-analysis of 50 cohorts involving 7,239,790 participants.

Introduction: Previous studies highlighted the association between the triglyceride-glucose (TyG) index and cardiovascular events in patients with diabetes. However, whether diabetes affects TyG-cardiovascular diseases (CVD) is still unclear. This study aimed to evaluate the association between the TyG index and CVD risk, stratified by diabetes status, as well as the potential modifying effect of diabetic status.

t Occupancy as an Effective and Predictive Descriptor for the Design of High-Performance Spinel Oxide Peroxidase-like Nanozymes.

Nanozymes are next generation of enzyme mimics. Due to the lack of activity descriptors, most nanozymes were discovered through trial-and-error strategies or by accident. While e occupancy in an octahedral crystal field was proven as an effective descriptor, the t in a tetrahedral crystal field has rarely been explored.

miR-145b/AP2B1 Axis Contributes to Noise-induced Sensorineural Hearing Loss In a Male Mouse Model.

Sensorineural hearing loss (SNHL) is an increasingly prevalent sensory disorder, but the underlying mechanisms remain poorly understood. Adaptor related protein complex 2 subunit beta 1 (AP2B1) has been indicated to be detectable in mature cochleae. Nonetheless, it is unclear whether AP2B1 is implicated in the progression of SNHL.

Lane Detection Based on ECBAM_ASPP Model.

With the growing prominence of autonomous driving, the demand for accurate and efficient lane detection has increased significantly. Beyond ensuring accuracy, achieving high detection speed is crucial to maintaining real-time performance, stability, and safety. To address this challenge, this study proposes the ECBAM_ASPP model, which integrates the Efficient Convolutional Block Attention Module (ECBAM) with the Atrous Spatial Pyramid Pooling (ASPP) module.

Multi-Scale Part-Based Feature Representation for 3D Domain Generalization and Adaptation.

Deep networks for 3D point clouds have achieved remarkable success in classification task but remain vulnerable to geometric variations resulting from inconsistent data acquisition procedures. This leads to significant performance degradation when models trained on a source domain are tested on out-of-distribution target domains, highlighting the challenges of 3D domain generalization and adaptation. In this paper, we introduce a novel Multi-Scale Part-based feature Representation, dubbed MSPR, as a generalizable representation for point cloud domain generalization and adaptation.

Automated Breast Ultrasound With Remote Reading for Primary Breast Cancer Screening: A Prospective Study Involving 46 Community Health Centers in China.

China has faced barriers to implementation of a population-based mammographic screening program. Breast ultrasound provides an alternative screening modality to mammography in low-resource settings. The purpose of this study was to evaluate the performance of automated breast ultrasound (ABUS) with remote reading as the primary screening modality for breast cancer.

A Novel Brain Network Analysis Method for Pediatric ADHD Using RFE-GA Feature Selection Strategy.

Attention Deficit Hyperactivity Disorder (ADHD) is a highly prevalent childhood disorder, and related research has been increasing in recent years. However, it remains a challenging issue to accurately identify individuals with ADHD. The research proposes a method for ADHD detection using Recursive Feature Elimination-Genetic Algorithm (RFE-GA) for the feature selection of EEG data.

Glutamine transporters as effective targets in digestive system malignant tumor treatment.

Glutamine is one of the most abundant non-essential amino acids in human plasma and plays a crucial role in many biological processes of the human body. Tumor cells take up a large amount of glutamine to meet their rapid proliferation requirements, which is supported by the upregulation of glutamine transporters. Targeted inhibition of glutamine transporters effectively inhibits cell growth and proliferation in tumors.

A biodegradable calcium sulfite nanoreactor for pH triggered gas therapy in combination with chemotherapy.

As a gasotransmitter, endogenous sulfur dioxide (SO) plays an important role in cardiovascular regulation. In addition, excessive SO can react with overexpressed hydrogen peroxide (HO) in tumor cells to generate toxic radicals, which can induce severe oxidative damage to tumor cells and result in cell apoptosis. This highlights the potential of SO in oncotherapy.

Biomembrane-Modified Biomimetic Nanodrug Delivery Systems: Frontier Platforms for Cardiovascular Disease Treatment.

Cardiovascular diseases (CVDs) are one of the leading causes of death worldwide. Despite significant advances in current drug therapies, issues such as poor drug targeting and severe side effects persist. In recent years, nanomedicine has been extensively applied in the research and treatment of CVDs.

Integrative multi-omics characterization of hepatocellular carcinoma in Hispanic patients.

Background: The incidence and mortality rates of hepatocellular carcinoma among Hispanic individuals in the United States are much higher than in non-Hispanic White people. We conducted multi-omics analyses to elucidate molecular alterations in hepatocellular carcinoma among Hispanic patients.

Methods: Paired tumor and adjacent nontumor samples were collected from 31 Hispanic hepatocellular carcinomas in South Texas for genomic, transcriptomic, proteomic, and metabolomic profiling.

Mitochondrial inhibitors: a new horizon in breast cancer therapy.

Breast cancer, due to resistance to standard therapies such as endocrine therapy, anti-HER2 therapy and chemotherapy, continues to pose a major health challenge. A growing body of research emphasizes the heterogeneity and plasticity of metabolism in breast cancer. Because differences in subtypes exhibit a bias toward metabolic pathways, targeting mitochondrial inhibitors shows great potential as stand-alone or adjuvant cancer therapies.

Priority sources identification and risks assessment of heavy metal(loid)s in agricultural soils of a typical antimony mining watershed.

Heavy metal(loid) (HM) pollution in agricultural soils has become an environmental concern in antimony (Sb) mining areas. However, priority pollution sources identification and deep understanding of environmental risks of HMs face great challenges due to multiple and complex pollution sources coexist. Herein, an integrated approach was conducted to distinguish pollution sources and assess human health risk (HHR) and ecological risk (ER) in a typical Sb mining watershed in Southern China.

EHR coding with hybrid attention and features propagation on disease knowledge graph.

And sentences associated with these attributes and relationships have been neglected. in this paper ►We propose an end-to-end model called Knowledge Graph Enhanced neural network (KGENet) to address the above shortcomings. specifically ►We first construct a disease knowledge graph that focuses on the multi-view disease attributes of ICD codes and the disease relationships between these codes.

STEAP2 promotes hepatocellular carcinoma progression via increased copper levels and stress-activated MAP kinase activity.

Six Transmembrane Epithelial Antigen of Prostate 2 (STEAP2) belongs to a family of metalloreductases, which indirectly aid in uptake of iron and copper ions. Its role in hepatocellular carcinoma (HCC) remains to be characterized. Here, we report that STEAP2 expression was upregulated in HCC tumors compared with paired adjacent non-tumor tissues by RNA sequencing, RT-qPCR, Western blotting, and immunostaining.

Spatiotemporal variations and risk assessment of estrogens in the water of the southern Bohai Sea: A comprehensive investigation spanning three years.

The ubiquitous and adverse effects of estrogens have aroused global concerns. Natural and synthetic estrogens in 255 water samples from the southern Bohai Sea were analyzed over three years. Total estrogen concentrations were 11.

Berberine inhibits the malignant cell phenotype by inactivating PI3K/AKT/mTOR signaling in laryngeal squamous cell carcinoma.

Background: Berberine is an active compound found in different herbs used in Chinese medicine and is well-known for its potential anticancer properties. The study aimed to figure out the role of berberine in regulating the malignant behavior of laryngeal squamous cell carcinoma (LSCC) cells.

Methods: LSCC cell lines (SNU-899 and AMC-HN-8) were treated with different concentrations of berberine (0-200 μM) to determine its cytotoxicity.