Enhancing stroke disease classification through machine learning models via a novel voting system by feature selection techniques.

Heart disease remains a leading cause of mortality and morbidity worldwide, necessitating the development of accurate and reliable predictive models to facilitate early detection and intervention. While state of the art work has focused on various machine learning approaches for predicting heart disease, but they could not able to achieve remarkable accuracy. In response to this need, we applied nine machine learning algorithms XGBoost, logistic regression, decision tree, random forest, k-nearest neighbors (KNN), support vector machine (SVM), gaussian naïve bayes (NB gaussian), adaptive boosting, and linear regression to predict heart disease based on a range of physiological indicators.

A META analysis and systematic review of the effects of exercise interventions on middle-aged and elderly patients with depression.

Objective: This study sought to conduct a meticulous systematic review, delving into the efficacy of exercise interventions on depressive symptoms among middle-aged and older adults. Additionally, we aimed to scrutinize the nuanced influence of various intervention factors on the intricate relationship between exercise and depressive symptoms within this demographic.

Methods: Our investigation involved an extensive search across multiple databases, including PubMed, Embase, Web of Science, and the Cochrane Library, spanning from the inception of these repositories to December 2023.

Intraoperative transcutaneous electrical acupoint stimulation combined with anesthesia to prevent postoperative cognitive dysfunction: A systematic review and meta-analysis.

Background: Postoperative cognitive dysfunction (POCD) is associated with an increased risk of dementia and may lead to chronic neurodegeneration. The utilization of intraoperative Transcutaneous Electrical Acupoint Stimulation (TEAS) in conjunction with anesthesia is expected to become an effective preventive measure for POCD in clinical practice.

Methods: We conducted a comprehensive literature review focusing on the use of TEAS in the prevention of POCD during surgical anesthesia.

Effect of proprioceptive neuromuscular facilitation on patients with chronic ankle instability: A systematic review and meta-analysis.

Objective: This study conducts a rigorous meta-analysis of existing literature to rigorously examine the efficacy of Proprioceptive Neuromuscular Facilitation (PNF) in ameliorating functional deficits associated with Chronic Ankle Instability (CAI).

Methods: Literature searches were conducted in multiple databases including China National Knowledge Infrastructure (CNKI), VIP, Wanfang, China Biology Medicine disc (CBM), PubMed, EBSCO (Medline, CINAHL, SPORTDiscus, and Rehabilitation & Sports Medicine Source), Embase, ScienceDirect, ProQuest, Cochrane Library, and Web of Science for randomized controlled trials assessing the effects of Proprioceptive Neuromuscular Facilitation interventions on patients with Chronic Ankle Instability. The publication timeframe spanned from the inception of each database until April 10, 2024.

Determination of oxyphenisatine and its total ester derivatives content in fermented green plum by ultra performance liquid chromatography-tandem mass spectrometry.

Illegal additives such as oxyphenisatine and its esters are prevalent in the slimming food industry, necessitating a robust analytical method for their detection. This study presents a novel UPLC-MS/MS method for the rapid and accurate quantification of total oxyphenisatine levels in fermented green plum, following hydrolysis of its esters. An efficient ultrasonic extraction with a methanol and 0.

Behaviors and influencing factors of Chinese oncology nurses towards frailty care: A cross-sectional study based on knowledge-attitude-practice theory in 2024.

Background: The demand for frailty care is continuously increasing in hospitalized tumor patients with the aging of the population. Nurses are the primary care providers of hospitalized tumor patients with frailty but research on exploring their behavior and associated factors is limited. This study aims to describe the current situation of frailty care behaviors in oncology nurses and to explore the factors influencing frailty care behaviors.

Study on the influence of TiO2 nanoparticles on the breakdown voltage of transformer oil under severe cold conditions.

The modified nanoparticles can significantly improve the insulation characteristics of transformer oil. Currently, there is a lack of research on the actual motion state of particles in nanofluid to further understand the micro-mechanism of nanoparticles improving the insulation characteristics of transformer oil. In this study, the nanofluid containing 0.

Multi-region infectious disease prediction modeling based on spatio-temporal graph neural network and the dynamic model.

Human mobility between different regions is a major factor in large-scale outbreaks of infectious diseases. Deep learning models incorporating infectious disease transmission dynamics for predicting the spread of multi-regional outbreaks due to human mobility have become a hot research topic. In this study, we incorporate the Graph Transformer Neural Network and graph learning mechanisms into a metapopulation SIR model to build a hybrid framework, Metapopulation Graph Transformer Neural Network (M-Graphormer), for high-dimensional parameter estimation and multi-regional epidemic prediction.

Establishment of a physical exercise evaluation index system for school-age children with asthma.

Objective: To construct a comprehensive physical exercise evaluation index system for asthmatic children aged 6-12 years.

Design: Based on knowledge-attitude-practice(KAP) theory, we constructed an item pool for a physical exercise evaluation index system using a literature review and semistructured interviews and refined the index system through two questionnaire cycles with Delphi experts.

Results: For the two questionnaire rounds, the recovery rate was 100%, the experts' authority coefficients were 0.

Fluorescence immunochromatographic assay for deoxynivalenol using immunomagnetic bead purification.

Deoxynivalenol (DON) contaminates various complex matrices, necessitating straightforward, effective cleanup and precise detection methods. This study employed immunomagnetic beads for sample purification and utilized a competitive time-resolved fluoro-immuno-chromatographic assay to achieve quantitative detection of DON in corn and its by-products. The limits of detection and quantification were 104 μg/kg and 243 μg/kg, respectively.

Association between urinary phthalate metabolites and sarcopenia in US adults from NHANES 2011-2018.

Background: Phthalates, widely used as chemical additives, are often found as mixtures in the environment. However, the combined impact of phthalate exposure on sarcopenia remains unclear.

Objective: This study aimed to investigate the relationships between phthalates and sarcopenia in adults.

Application and Mechanism of Action of a Ketogenic Diet in Antiepileptic Therapy.

Epilepsy is a chronic neurological disorder caused by abnormal discharges of neurons in the brain, which seriously affects the quality of life of patients. Although there are various drug treatments available, many epilepsy patients still experience seizures with the effect of drugs and develop refractory epilepsy. The ketogenic diet can treat drug-refractory epilepsy by regulating the body's metabolism and can enhance the quality of life by improving their cognition, behavior, and sleep quality.

Research on the impact of the locations of luminaire failure on traffic safety in highway tunnels.

Objective: The safety of highway tunnels hinges heavily on proper lighting infrastructure, yet luminaire failures pose an ongoing challenge. The study aims at assessing the impact of the locations of luminaire failures on highway tunnels safety.

Methods: The research involved conducting 300 on-site scenarios with 29 participants, with simulated drives in visual recognition experiments.

Local Environment-Modulated f-f Transition in Unit-Cell-Sized Lanthanide Ultrathin Nanostructures.

The regulation of the f-f transition is the basis of utilizing the abundant optical properties of lanthanide (Ln), of which the key is to modulate the local environment of Ln ions. Here, we constructed Eu(III)-based unit-cell-sized ultrathin nanowires (UCNWs) with red luminescence and polymer-like behavior, which appears as an ideal carrier for regulating f-f transition. The f-f transition of Eu(III) in UCNWs could be precisely regulated through various ligands.

Analysis of performance degradation of an active pretensioning seatbelt in a real-world vehicle braking test.

Objective: Previous research has established the effectiveness of active pretensioning seatbelts (APS), also termed motorized pretensioning seatbelts, in mitigating forward leaning and out-of-position displacement during pre-crash scenarios. In the Chinese market, APS trigger times are typically set later than those reported in the literature. This study investigates the real-world performance of APS systems with delayed trigger times under emergency braking conditions.

Characterization of Key Lipid Components in the Cell Membrane of Freeze-Drying Resistant Strains Using Nontargeted Lipidomics.

Lactic acid bacteria (LAB) are usually freeze-dried into powder for transportation and storage, with the bacterial membrane playing a crucial role in this process. However, different strains exhibit different levels of freeze-drying resistance in their cell membranes. In this study, () strains 1F20, K56, and J5, demonstrating survival rates of 59.

Structural Similarity in Natural Products Leading to Sample Misidentification: A Case Study of the Bisbenzylisoquinoline Alkaloids Oxyacanthine and Berbamine.

The similar structures of natural compounds and the absence of NMR data for commercial products raise the risk of misidentification. This work reports a case in which purchased samples labeled as "berbamine" from 14 suppliers are oxyacanthine (). The NMR data of all purchased samples were consistent.

Genome-Wide A → G and C → T Mutations Induced by Functional TadA Variants in .

The fusion expression of deoxyribonucleic acid (DNA) replication-related proteins with nucleotide deaminase enzymes promotes random mutations in bacterial genomes, thereby increasing genetic diversity among the population. Most previous studies have focused on cytosine deaminase, which produces only C → T mutations, significantly limiting the variety of mutation types. In this study, we developed a fusion expression system by combining DnaG (RNA primase) with adenine deaminase TadA-8e (DnaG-TadA) in , which is capable of rapidly introducing A → G mutations into the genome, resulting in a 664-fold increase in terms of mutation rate.

Temperature-Controlled Gas Hydrate Nucleation in the Heterogeneous Environment.

Nucleation of multicomponent systems is a pervasive phenomenon in nature and is pertinent to a diverse array of scientific and industrial challenges. The nucleation mechanisms of immiscible multicomponent systems remain unclear. Here, gas hydrate is employed as a model system to study the nucleation of multicomponent systems.

Truth-telling, and ethical considerations in terminal care: an Eastern perspective.

Truth-telling for terminally ill patients is a challenging ethical and social issue for Chinese health care professionals. However, despite the existence of ethical and moral standards for nurses, they frequently encounter moral dilemmas when making decisions about truth-telling to patients with end-stage diseases in China. This article aims to provide ethical strategies for clinical nurses in China regarding truth-telling decisions for terminally ill patients on the basis of their individual autonomy.

StackDILI: Enhancing Drug-Induced Liver Injury Prediction through Stacking Strategy with Effective Molecular Representations.

Drug-induced liver injury (DILI) is a major challenge in drug development, often leading to clinical trial failures and market withdrawals due to liver toxicity. This study presents StackDILI, a computational framework designed to accelerate toxicity assessment by predicting DILI risk. StackDILI integrates multiple molecular descriptors to extract structural and physicochemical features, including the constitution, pharmacophore, MACCS, and E-state descriptors.

Research on the mechanism of eugenol in the treatment of liver cancer based on network pharmacology, molecular docking technology, and in vitro experiments.

Eugenol, a phenolic natural product with diverse pharmacological activities, remains unexplored in liver cancer. Using network pharmacology, we investigated eugenol's therapeutic mechanisms in liver cancer. We obtained eugenol's molecular structure from PubChem and screened its targets using similarity ensemble approach in Swiss Target Predictiondatabases.

Influence of Body Mass Index on the Clinicopathological Features of Papillary Thyroid Carcinoma in a Chinese Population.

Previous studies suggested a relationship between obesity and a high risk of thyroid cancer. However, the association between high body mass index (BMI) and the aggressiveness of papillary thyroid carcinoma (PTC) is controversial. In this study, we aimed to investigate the impact of excess BMI on histopathologic aggressiveness of PTC in a Chinese population.

Antidiabetic phytochemicals: an overview of medicinal plants and their bioactive compounds in diabetes mellitus treatment.

Diabetes mellitus (DM) is a group of metabolic disorders characterized by hyperglycemia due to insufficient insulin secretion or action. Contributing factors include genetic predisposition, obesity, family history, inactivity, and environmental risks. Type 2 diabetes mellitus (T2DM), the most common form, involves impaired insulin secretion by pancreatic β-cells, leading to insulin resistance.

Comprehensive analysis of DNA methylation and gene expression to identify tumor suppressor genes reactivated by MLN4924 in acute myeloid leukemia.

This study investigated whether the neddylation inhibitor MLN4924 induces aberrant DNA methylation patterns in acute myeloid leukemia and contributes to the reactivation of tumor suppressor genes. DNA methylation profiles of Kasumi-1 and KU812 acute myeloid leukemia cell lines before and after MLN4924 treatment were generated using the 850K Methylation BeadChip. RNA sequencing was used to obtain transcriptomic profiles of Kasumi-1 cells.