Mixtures of EGCG, bamboo leaf flavonoids, and broccoli seed water extracts exhibit anti-glycation and skin-protective effects.

Background: Skin aging is a multifaceted process. Glycation significantly contributes to skin aging and the development of complications. Researchers are currently investigating various substances, particularly those from natural sources, to combat skin glycation.

Effects of exogenous mineral silicon on physiological characteristics and arsenic uptake and transport in rice.

Soil arsenic (As) contamination poses a significant threat to food security and human health. Diatomaceous earth (DE) as a representative exogenous mineral silicon can effectively regulate the migration and transformation of As in the soil-rice system. However, the mechanisms underlying the effects of DE application on As uptake, translocation, and stress regulation in rice remain unclear.

Using gut microbiota and non-targeted metabolomics techniques to study the effect of xylitol on alleviating DSS-induced inflammatory bowel disease in mice.

Background: Inflammatory bowel disease (IBD) has become a global healthcare issue, with its incidence continuing to rise, but currently there is no complete cure. Xylitol is a widely used sweetener in various foods and beverages, but there is limited research on the effects of xylitol on IBD symptoms.

Aim: Study on the effect of oral xylitol in improving intestinal inflammation and damage in IBD mice, further explore the mechanism of xylitol in alleviating IBD symptoms using intestinal microbiota and non-targeted metabolomics techniques.

Immunosuppressive microenvironment of liver restrains chemotherapeutic efficacy in triple-negative breast cancer.

Background: Patients with liver metastases of triple-negative breast cancer (TNBC) show poor prognosis compared with other metastases. Chemotherapy is the primary treatment for advanced TNBC. Tumor cell diversity and the tumor microenvironment could affect therapeutic effect.

Generative AI for synthetic data across multiple medical modalities: A systematic review of recent developments and challenges.

This paper presents a comprehensive systematic review of generative models (GANs, VAEs, DMs, and LLMs) used to synthesize various medical data types, including imaging (dermoscopic, mammographic, ultrasound, CT, MRI, and X-ray), text, time-series, and tabular data (EHR). Unlike previous narrowly focused reviews, our study encompasses a broad array of medical data modalities and explores various generative models. Our aim is to offer insights into their current and future applications in medical research, particularly in the context of synthesis applications, generation techniques, and evaluation methods, as well as providing a GitHub repository as a dynamic resource for ongoing collaboration and innovation.

Safety, pharmacokinetics and efficacy of HA121-28 in patients with advanced solid tumors and RET fusion-positive non-small-cell lung cancer: a multicenter, open-label, single-arm phase 1/2 trial.

HA121-28, a promising multikinase inhibitor, mainly targets rearranged during transfection (RET) fusions and selectively targets vascular endothelial growth factor receptor-2, endothelial growth factor receptor, and fibroblast growth factor receptor 1-3. The safety, pharmacokinetics, and efficacy of HA121-28 were assessed in advanced solid tumors (phase 1, ClinicalTrials.gov NCT03994484) and advanced RET fusion-positive non-small-cell lung cancer (RET-TKI naive NSCLC, phase 2, ClinicalTrials.

Optimization Strategies and Efficiency Prediction for Silicon Solar Cells with Hybrid Route of PERC and SHJ Passivation Contact.

PERC solar cell technology, which emerged in the 1980s, has garnered a substantial portion of the PV market over the past decade. However, the main factors limiting their further efficiency advancements and wider commercialization lie in metal contact recombination and the passivation properties of the functional layers. Despite heterojunction cells demonstrating remarkable efficiency, challenges persist in terms of cost reduction and stability enhancement.

How does social support mediate the relationship between functional status and mental health among older adults in China? An exploration of the role of children's visits.

Objective: To examine the mediating role of social support, as outlined in the Convoy Model of Social Relations, in the association between functional status and mental health, with a focus on those with disabilities.

Methods: The study included 15,498 participants aged 65 to 105 years old from the 2018 wave of the Chinese Longitudinal Healthy Longevity Survey (CLHLS). Spearman analysis and mediation analysis were performed.

A multifunctional biomimetic double-layer composite hydrogel with wet adhesion and antioxidant activity for dural repair.

Cerebrospinal fluid (CSF) leakage caused by accidents or diseases resulting from traumatic brain injury, inflammation, tumor erosion and surgery can lead to many complications. In this study, a multifunctional composite double-layer hydrogel was designed by simulating the structure of native dura mater, which was composed of polyacrylic acid (PAA), polyethyleneimine (PEI), sodium alginate (SA), β-cyclodextrin (β-CD) and edaravone (Ed). The PAA/PEI layer had strong wet adhesion characteristics, while the PEI/SA@β-CD/Ed layer exhibited significant antioxidant, drug release and biocompatibility properties.

Dynamic proteome and phosphoproteome profiling reveals regulatory mechanisms in LPS-stimulated macrophage inflammatory responses.

Macrophage-mediated acute inflammation is crucial for pathogen clearance and tissue repair, yet the underlying molecular mechanisms remain inadequately understood. The present study focused on the dynamic profiles of the proteome and phosphoproteome of macrophages exposed to lipopolysaccharide within 1 h. Gene Set Enrichment Analysis (GSEA) identified significantly enriched pathways in fatty acid metabolism and translation during the early inflammatory phase.

Efficient 100-Gb/s wide multi-band RoF system using single-drive MZM with bias-controlled chirp parameter for 6 G indoor network.

The explosive growth of mobile data traffic and the demands of 6 G networks for ultra-high data rates and low latency necessitate advanced infrastructure solutions. One promising approach is the implementation of radio-over-fiber (RoF)-based distributed antenna systems (DAS), which can efficiently transmit radio frequency signals over optical fiber, especially in dense indoor environments. However, analog RoF systems face challenges, including noise, nonlinearities, and power fading caused by chromatic dispersion.

Transcriptional regulation of development by SMAX1-LIKE proteins, targets of strigolactone and karrikin/KAI2 ligand signaling.

SUPPRESSOR OF MAX2 1 (SMAX1) and SMAX1-LIKE (SMXL) proteins comprise a family of plant growth regulators that includes downstream targets of the karrikin (KAR)/KAI2 ligand (KL) and strigolactone (SL) signaling pathways. Following the perception of KAR/KL or SL signals by α/β hydrolases, some types of SMXL proteins are polyubiquitinated by an E3 ubiquitin ligase complex containing the F-box protein MORE AXILLARY GROWTH2 (MAX2)/DWARF3 (D3), and proteolyzed. Because SMXL proteins interact with TOPLESS (TPL) and TPL-related (TPR) transcriptional corepressors, SMXL degradation initiates changes in gene expression.

Psoralen and Isopsoralen Activate Nuclear Factor Erythroid 2-Related Factor 2 Through Interaction With Kelch-Like ECH-Associated Protein 1.

As natural furocoumarins, psoralen and its isomer isopsoralen are widely distributed in various fruits including L., vegetables including celery, and medicinal herbs including L. Although psoralen and isopsoralen have been used as dietary supplements because of their bioactivities such as antibacterial and anti-inflammatory properties; however, the potential mechanisms underlying the antioxidant activities of these two furocoumarins still need to be explored.

The Relationship Between a Mediterranean Diet and Frailty in Older Adults: NHANES 2007-2017.

Background: Frailty is a geriatric syndrome of significant public health concern that causes vulnerability to physiologic stressors and an increased risk of mortality and hospitalizations. Dietary intake and quality are contributing factors to the development of frailty. The Mediterranean diet is known to be one of the healthiest eating patterns with promising health impacts for prevention.

Quantitative profiling and mapping of small molecules by laser desorption/ionization mass spectrometry: combinations of carbon-based nano-matrices and sample preparation protocols.

The choices of matrices and protocols for sample deposition are critical factors, which impact each other in the matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI). Previous reports on MALDI MS matrices have only compared their performances in terms of their MS signal intensities and provided optical microphotos or MALDI MS images of sample spots but typically lacked quantitative evaluation. Therefore, there is an urgent need to develop a multivariate model to evaluate the performance of different combinations of matrices and sample protocols.

Thermoresponsive dual-network chitosan-based hydrogels with demineralized bone matrix for controlled release of rhBMP9 in the treatment of femoral head osteonecrosis.

In an effort to mitigate or reverse the pathological progression of early-stage osteonecrosis of the femoral head (ONFH), this study employed a promising strategy that involves the sustained delivery of osteogenic factors to augment core decompression, facilitated by the use of composite hydrogels. Specifically, a hydrogel was synthesized by blending chitosan, Pluronic F-127, and tripolyphosphate, utilizing both ionic bonding and copolymer micelle cross-linking techniques. This hydrogel demonstrated exceptional biocompatibility, temperature responsiveness, pH-dependent biodegradation, and controlled release properties.

Global disease burden of cervical cancer and the association of screening coverage with quality of disease management.

Objectives: To analyze the global disease burden of cervical cancer and the association between screening coverage and the quality of disease management.

Methods: The data of global burden of cervical cancer 2021 and the data of cervical cancer screening 2019 were obtained from IHME Global Burden of Disease (GBD) and the WHO Global Health Observatory (GHO), respectively. The age-standardized disease burden index was calculated, the Quality of Disease Management Index (QCI) was determined with principal component analysis, the correlation between QCI and cervical cancer screening coverage was examined with linear regression analysis by regions and populations.

[Discussion on the commonalities of scalp acupuncture schools and the feasibility of a unified scalp acupuncture protocol].

The data of 44 scalp acupuncture schools are collected to analyze their commonalities in theoretical foundations, needling sites, techniques, and indications. The integration of these characteristics into an optimized, unified scalp acupuncture protocol has become an inevitable trend. The paper discusses the potential for a unified scalp acupuncture protocol from aspects such as theoretical unification, the relationships between point areas, lines, and sites, and needle numbers.

Generating unseen diseases patient data using ontology enhanced generative adversarial networks.

Generating realistic synthetic health data (e.g., electronic health records), holds promise for fundamental research, AI model development, and enhancing data privacy safeguards.

Hydrogen Bonding Polarization Strengthening the Peptide-Based Hydrogels.

Peptide-based hydrogels form a kind of promising material broadly used in biomedicine and biotechnology. However, the correlation between their hydrogen bonding dynamics and mechanical properties remains uncertain. In this study, we found that the adoption of β-sheet and α-helix secondary structures by ECF-5 and GFF-5 peptides, respectively, could further form fiber networks to immobilize water molecules into hydrogels.

Brain-Derived Exosomal miR-9-5p Induces Ferroptosis in Traumatic Brain Injury-Induced Acute Lung Injury by Targeting Scd1.

Aims: This study aimed to explore the role and underlying mechanisms of brain-derived exosomes in traumatic brain injury-induced acute lung injury (TBI-induced ALI), with a particular focus on the potential regulation of ferroptosis through miRNAs and Scd1.

Methods: To elucidate TBI-induced ALI, we used a TBI mouse model. Exosomes were isolated from the brains of these mice and characterized using TEM and NTA.

Action recognition in rehabilitation: combining 3D convolution and LSTM with spatiotemporal attention.

This study addresses the limitations of traditional sports rehabilitation, emphasizing the need for improved accuracy and response speed in real-time action detection and recognition in complex rehabilitation scenarios. We propose the STA-C3DL model, a deep learning framework that integrates 3D Convolutional Neural Networks (C3D), Long Short-Term Memory (LSTM) networks, and spatiotemporal attention mechanisms to capture nuanced action dynamics more precisely. Experimental results on multiple datasets, including NTU RGB + D, Smarthome Rehabilitation, UCF101, and HMDB51, show that the STA-C3DL model significantly outperforms existing methods, achieving up to 96.

Preparation of Alumina Oxo-Cluster/Cellulose Polymers and Dye Adsorption Application.

Aluminum oxide clusters (AlOCs) possess high surface areas and customizable pore structures, making them applicable in the field of environmental remediation. However, their practical use is hindered by stability issues, aggregation tendencies, and recycling challenges. This study presents an in -situ synthesis of AlOCs on cellulose using a solvent thermal method.

An efficient deep unrolling network for sparse-view CT reconstruction via alternating optimization of dense-view sinograms and images.

. Recently, there have been many advancements in deep unrolling methods for sparse-view computed tomography (SVCT) reconstruction. These methods combine model-based and deep learning-based reconstruction techniques, improving the interpretability and achieving significant results.