CPA4 overexpression correlates with poor prognosis and tumor progression in endometrial cancer.

Background: The rise in endometrial cancer rates globally calls for advanced diagnostic methods and new biomarkers. CPA4, known for its role in cancer development, has not yet been studied in relation to endometrial cancer, making it a promising research avenue.

Methods: We analyzed CPA4's mRNA expression using data from TCGA and GEO databases and validated these findings with 116 clinical samples through immunohistochemical analysis.

Thyroid function and multiple sclerosis: a two-sample mendelian randomization study and mediation analysis.

Multiple sclerosis (MS) is a prevalent neurological disorder with a complex etiology, often associated with thyroid function. However, the causal relationship between these two conditions remains poorly understood. This study aimed to elucidate the causal relationship between thyroid function and MS using a bidirectional Mendelian randomization (MR) approach and to investigate the potential mediating role of immune cells.

Accounting and system dynamics simulation of water resource liabilities in the Yangtze River Economic Zone, China.

Based on the concept of sustainable water resources management, this study defines water resources liability (WRL) as the compensation liability formed in the process of unreasonable utilization of water resources, which will lead to the damage of resources and environment. Combined with system dynamics (SD) method, a simulation model of WRL is constructed to analyze the WRL of the Yangtze River Economic Zone (YREZ) from 2021 to 2030 in three development modes, which are status quo continuation mode, economic development mode, and resource and environment-friendly mode. The results reveal that: (1) In the status quo continuation mode, the scale of WRL can be effectively controlled, and the WRL will be reduced to 11.

PADI4 facilitates stem-like properties and cisplatin resistance through upregulating PRMT2/IDs family in oesophageal squamous cell carcinoma.

Background: Oesophageal squamous cell carcinoma (OSCC) is a highly lethal cancer characterized by its aggressive nature and chemotherapy resistance. Peptidylarginine deiminase 4 (PADI4) regulates protein citrullination and is associated with various cancer developments. The role of PADI4 in OSCC progression and chemoresistance remains unexplored.

FocalSelect: Improving Occluded Objects Acquisition with Heuristic Selection and Disambiguation in Virtual Reality.

In recent years, various head-worn virtual reality (VR) techniques have emerged to enhance object selection for occluded or distant targets. However, many approaches focus solely on ray-casting inputs, restricting their use with other input methods, such as bare hands. Additionally, some techniques speed up selection by changing the user's perspective or modifying the scene context, which may complicate interactions when users plan to resume or manipulate the scene afterward.

Systemic immune-inflammation index as a prognostic marker for chronic Hepatitis B with non-alcoholic fatty liver disease.

Introduction: This study investigates the association between high-level systemic immune-inflammatory index (SII) and cirrhosis progression in patients with chronic hepatitis B (CHB) and non-alcoholic fatty liver disease (NAFLD).

Methodology: A total of 272 CHB patients with NAFLD treated at Jincheng General Hospital between January 2018 and January 2023 were included. The study endpoint was the development of cirrhosis.

Checkpoint kinases regulate the circadian clock after DNA damage by influencing chromatin dynamics.

The interplay between circadian clocks, the cell cycle, and DNA repair has been extensively documented, yet the epigenetic control of circadian clocks by DNA damage responses remains relatively unexplored. Here, we showed that checkpoint kinases CHK1/2 regulate chromatin structure during DNA damage in Neurospora crassa to maintain robust circadian rhythms. Under DNA damage stress, deletion of chk1/2 disrupted the rhythmic transcription of the clock gene frq by suppressing the rhythmic binding of the transcription activator White Collar complex (WCC) at the frq promoter, as the chromatin structure remained condensed.

Advancements in chain elongation technology: Transforming lactic acid into caproic acid for sustainable biochemical production.

This review provides an insight into the chain-elongation technology for the production of caproic acid, a chemical widely used in the food, pharmaceutical, and cosmetic industries, from lactic acid in waste organic matter. The evolution of the technology is traced, the reaction mechanism is elucidated, and the properties of key microbial agents capable of carrying out the chain-elongation technology are summarized and compared, including pure bacterial isolates and reactor-mixed microorganisms. Furthermore, the parameters that regulate caproic acid formation by influencing microbial activity, competitive pathways, product selection, and carbon flow distribution, such as pH, temperature, electron donor, electron acceptor, and hydrogen partial pressure, are highlighted and discussed.

Enhancing the decision optimization of interaction design in sustainable healthcare with improved artificial bee colony algorithm and generative artificial intelligence.

With the development of digital health, enhancing decision-making effectiveness has become a critical task. This study proposes an improved Artificial Bee Colony (ABC) algorithm aimed at optimizing decision-making models in the field of digital health. The algorithm draws inspiration from the dual-layer evolutionary space of cultural algorithms, combining normative knowledge from the credibility space to dynamically adjust the search range, thereby improving both convergence speed and exploration capabilities.

Precision Fabrication and Optimization of Nanostructures for Exosome Detection via Surface-Enhanced Raman Spectroscopy.

Exosome detection is crucial for biomedical research and clinical diagnostics due to their unique characteristics. Surface-enhanced Raman spectroscopy (SERS) based on nanostructure substrates with local field enhancement capability is a promising detection approach. However, the random distribution of nanostructures leads to uneven "hotspots" distribution, which limits their application in SERS detection.

Association of depression, traditional risk factor control and genetic risk with incident cardiovascular disease among individuals with prediabetes: A population-based prospective study from UK biobank.

Background: The relationship between depression and cardiovascular disease (CVD) in individuals with prediabetes, its relative importance compared with traditional risk factors and whether genetic risk modifies this association remain unclear.

Aims: To explore the potential interactive effects of controlling traditional risk factors and depression on CVD, and to assess how depression compares with traditional risk factors in terms of its relative contribution to CVD risk in individuals with prediabetes.

Materials And Methods: We analysed a prospective cohort of 42,020 individuals from the UK Biobank, all free of prevalent CVD.

Overexpression of FOS enhances the malignant potential of eutopic endometrial stromal cells in patients with endometriosis‑associated ovarian cancer.

Endometrial cysts of the ovary (EMC) may develop into endometriosis (EM)‑associated ovarian cancer over time (EAOC), but the pathogenesis of this disease has not been determined. In the present study, RNA sequencing was used to identify a feasible biomarker, and the molecular function of this biomarker in eutopic endometrial cells from EAOC and EMC patients was evaluated to explore the potential mechanism related to EAOC and orthotopic endometrial tissue. RNA sequencing was performed on 5 EAOC and 4 EMC tissue samples, and differential expression analysis was performed.

CRISPR-dCas9-Mediated PTEN Activation via Tumor Cell Membrane-Coated Nanoplatform Enhances Sensitivity to Tyrosine Kinase Inhibitors in Nonsmall Cell Lung Cancer.

EGFR tyrosine kinase inhibitors (EGFR-TKIs) have garnered substantial clinical success in treating nonsmall cell lung cancer (NSCLC) harboring epidermal growth factor receptor (EGFR) mutations. However, the inevitable emergence of drug resistance, frequently attributed to activation, mutation, or deletion of multiple signaling pathways, poses a significant challenge. Notably, the loss of PTEN protein expression has emerged as a pivotal mechanism fostering resistance in EGFR mutant lung cancers.

Evaluating of effects for the sequence fermentation with and on mulberry wine fermentation: Physicochemical, flavonoids, and volatiles profiles.

This study investigates the variation of physicochemical, flavonoids, and volatiles during sequential fermentation which and as sequential co-fermenters and a single fermentation by in mulberry wine. Sequential fermentation shown that β-glucosidase activity greater and fermentation time declined to 144 h. In addition, 11 flavonoids (apigenin-5-O-glucoside, aromadendrin-7-O-glucoside, kaempferol-3,7-O-diglucoside, and so on) were significantly increased.

Natural products targeting AMPK signaling pathway therapy, diabetes mellitus and its complications.

Diabetes mellitus (DM) ranks among the most prevalent chronic metabolic diseases, characterized primarily by a persistent elevation in blood glucose levels. This condition typically stems from either insufficient insulin secretion or a functional defect in the insulin itself. Clinically, diabetes is primarily classified into type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM), with T2DM comprising nearly 90% of all diagnosed cases.

Artificial intelligence-powered 3D analysis of video-based caregiver-child interactions.

We introduce HARMONI, a three-dimensional (3D) computer vision and audio processing method for analyzing caregiver-child behavior and interaction from observational videos. HARMONI operates at subsecond resolution, estimating 3D mesh representations and spatial interactions of humans, and adapts to challenging natural environments using an environment-targeted synthetic data generation module. Deployed on 500 hours from the SEEDLingS dataset, HARMONI generates detailed quantitative measurements of 3D human behavior previously unattainable through manual efforts or 2D methods.

Scalable propionic acid production using Cutibacterium acnes ZW-1: Insights into substrate and pH-driven carbon flux.

An acid-resistant Cutibacterium acnes ZW-1 was isolated from human skin, and propionic acid (PA) production under different substrate and pH conditions was studied. When the molar ratio of lactic acid (LA) to acetic acid (AA) was 7:1 and the pH was 6.5, the PA concentration could reach 64.

GraphPhos: Predict Protein-Phosphorylation Sites Based on Graph Neural Networks.

Phosphorylation is one of the most common protein post-translational modifications. The identification of phosphorylation sites serves as the cornerstone for protein-phosphorylation-related research. This paper proposes a protein-phosphorylation site-prediction model based on graph neural networks named GraphPhos, which combines sequence features with structure features.

Genetic evidence for the liver-brain axis: lipid metabolism and neurodegenerative disease risk.

Background: The liver‒brain axis is critical in neurodegenerative diseases (NDs), with lipid metabolism influencing neuroinflammation and microglial function. A systematic investigation of the genetic relationship between lipid metabolism abnormalities and ND, namely, Alzheimer's disease (AD), Parkinson's disease (PD), multiple sclerosis (MS), and amyotrophic lateral sclerosis (ALS), is lacking. To assess potential causal links between ND and six lipid parameters, two-sample Mendelian randomization (MR) was used.

Causal role of plasma liposome in diabetic retinopathy: mendelian randomization (MR) study.

Background: Research indicates that there may be an association between plasma lipidome levels and the incidence of diabetic retinopathy (DR) in patients. However, the potential causality of this relationship is yet to be determined. To investigate this matter further, we employed a two-sample Mendelian randomization (MR) analysis to comprehensively assess the causality between lipidome levels and DR.

How do Chinese smokers respond to cigarette price? Evidence from a nationwide household survey.

Introduction: Despite the Chinese government's implementation of tax increases in 2009 and 2015 to curb tobacco use, the anticipated decline in cigarette sales has not materialized. This suggests a need for deeper understanding of smokers' demand behavior. The present study aims to provide a more accurate estimation of the price and income elasticities of cigarettes in China.

HiGen: Hierarchy-Aware Sequence Generation for Hierarchical Text Classification.

Hierarchical text classification (HTC) is a complex subtask under multi-label text classification, characterized by a hierarchical label taxonomy and data imbalance. The best-performing models aim to learn a static representation by combining document and hierarchical label information. However, the relevance of document sections can vary based on the hierarchy level, necessitating a dynamic document representation.

Aromatic ring compounds with different conjugation degrees in a boronic acid matrix to realize multicolor phosphorescence for time division colorful multiplexing.

Long lifetime multicolor phosphorescence materials possess excellent optical properties and have important application prospects in the fields of advanced anti-counterfeiting and information encryption. However, realizing long lifetime and color-tunable room temperature phosphorescent (RTP) carbon dot (CD) materials has proved challenging. In this study, the organic precursor molecules 2-phenethylamine (2-Ph), 9-aminophenanthrene (9-Ph) and 1-aminopyrene (1-Py) with different degrees of conjugation were selected to synthesize RTP CD composites: 2-Ph@BA, 9-Ph@BA and 1-Py@BA were synthesized by mixing with a boric acid (BA) matrix under high temperature pyrolysis.

Physical unclonable in-memory computing for simultaneous protecting private data and deep learning models.

Compute-in-memory based on resistive random-access memory has emerged as a promising technology for accelerating neural networks on edge devices. It can reduce frequent data transfers and improve energy efficiency. However, the nonvolatile nature of resistive memory raises concerns that stored weights can be easily extracted during computation.

Exploring segmented assimilation theory in health education utilization and its influencing factors among internal migrants in China: insights from the 2017 China migrants dynamic survey.

Introduction: This study investigated segmented assimilation patterns and factors influencing health education utilization (HEU) among internal migrant populations in China, driven by concerns over their declining health owing to urbanization-related changes.

Methods: Data from the 2017 China Migrants Dynamic Survey were analyzed, focusing on 13,998 rural migrants. Negative binomial regression was used to explore assimilation patterns and determine the factors affecting HEU among internal migrants in China.