Research on an Online Intelligent Monitoring System for Resistance Spot Welding Based on Wireless Communication.

Resistance spot welding (RSW) faces critical monitoring challenges in industrial applications due to nonlinear coupling characteristics and production line disturbances. This study developed a Zigbee-enabled real-time monitoring system to address the precision limitations of conventional methods in tracking RSW parameters. Using DP780/DP590 dual-phase steel specimens with thickness variations, we implemented a dedicated data acquisition system capturing welding current, voltage, and barometric pressure dynamics.

N- and O- Doped Porous Carbon Nanosheets Prepared from Templating Methodology for Supercapacitors.

Heteroatom-doped biomass-derived porous carbon materials show promising applications as electrode components in energy storage technologies. In this investigation, we present a template-assisted pyrolysis procedure to fabricate nitrogen-oxygen dual-doped carbon materials. Firstly, the precursor and template initially polymerized to form a white jelly-like gel, which was freeze-dried to create a nanosheet-assembled structure.

Advances in harnessing biological macromolecules for periodontal tissue regeneration: A review.

Periodontitis is a chronic multifactorial inflammatory oral disease that can lead to gingival recession, destruction of the periodontal ligament, alveolar bone loss, and tooth loss. Solutions for periodontal tissue regeneration utilize biological macromolecules, including natural ones (such as collagen (COL), alginate (ALG), chitosan (CS), silk fibroin (SF), hyaluronic acid (HA), etc.), inorganic ones (such as hydroxyapatite (HAp), β-tricalcium phosphate (β-TCP), bioactive glass (BG), etc.

Deciphering the ammonia transformation mechanism of a novel marine multi-stress-tolerant yeast, HJ2, as revealed by integrated omics analysis.

Ammonia nitrogen posed a significant threat to aquatic animals in aquaculture environments, and the substantial potential of microorganisms in removing ammonia nitrogen had garnered considerable attention. This study identified a marine yeast, HJ2, which effectively removed ammonia nitrogen. By combining transcriptomics and metabolomics, the ammonia nitrogen transformation mechanism of HJ2 was elucidated.

Identification of stable reference genes for qRT-PCR in Stropharia rugosoannulata using mRNA-sequencing data.

Quantitative real-time PCR (qRT-PCR) is a well-established and reliable technology utilized for the rapid and accurate quantification of gene expression changes. The selection of stable reference genes is necessary to analyse qRT-PCR data and ensure gene expression studies reliability. Stropharia rugosoannulata, commonly known as the wine-cap Stropharia mushroom, ranks among the top ten internationally traded mushrooms.

Anti-drift pose tracker (ADPT), a transformer-based network for robust animal pose estimation cross-species.

Deep learning-based methods have advanced animal pose estimation, enhancing accuracy, and efficiency in quantifying animal behavior. However, these methods frequently experience tracking drift, where noise-induced jumps in body point estimates compromise reliability. Here, we present the anti-drift pose tracker (ADPT), a transformer-based tool that mitigates tracking drift in behavioral analysis.

Restricted cubic spline analysis: Age-dependent relationship between MAGEA12 and hepatocellular carcinoma prognosis.

Objectives: Currently, understanding of the nonlinear relationship between age and hepatocellular carcinoma (HCC) prognosis is insufficient. Thus, this study aimed to analyze the relationship between age at HCC diagnosis and overall survival (OS) and identify possible influencing mechanisms.

Methods: Clinical data from the TCGA public database were analyzed.

Excitatory Amino Acid Transporters as Therapeutic Targets in the Treatment of Neurological Disorders: Their Roles and Therapeutic Prospects.

Excitatory amino acid transporters (EAATs) are pivotal regulators of glutamate homeostasis in the central nervous system and orchestrate synaptic glutamate clearance through transmembrane transport and the glutamine‒glutamate cycle. The five EAAT subtypes (GLAST/EAAT1, GLT-1/EAAT2, EAAC1/EAAT3, EAAT4, and EAAT5) exhibit spatiotemporal-specific expression patterns in neurons and glial cells, and their dysfunction is implicated in diverse neurological pathologies, including epilepsy, amyotrophic lateral sclerosis (ALS), schizophrenia, depression, and retinal degeneration. Mechanistic studies revealed that astrocytic GLT-1 deficiency disrupts glutamate clearance in ALS motor neurons, whereas GLAST genetic variants are linked to both epilepsy susceptibility and glaucomatous retinal ganglion cell degeneration.

UAV Onboard STAR-RIS Service Enhancement Mechanism Based on Deep Reinforcement Learning.

UAVs and reconfigurable intelligent surfaces (RISs) have emerged as promising solutions to enhance communication coverage and performance. However, existing studies primarily focus on optimizing the amplitude and phase shift of a STAR-RIS without considering the impact of varying UAV hovering angles on signal reflection and transmission. In this paper, we propose a novel STAR-RIS-assisted UAV service enhancement mechanism that dynamically adjusts reflection/transmission regions based on the real-time user distribution, significantly improving the channel quality for both edge and occluded users.

Recent advances in polydopamine-coated metal-organic frameworks for cancer therapy.

The creation and development of classical multifunctional nanomaterials are crucial for the advancement of nanotherapeutic treatments for tumors. Currently, metal-organic frameworks (MOFs) modified with polydopamine (PDA) are at the forefront of nanomedicine research, particularly in tumor diagnostics and therapy, owing to their exceptional biocompatibility, expansive specific surface area, multifaceted functionalities, and superior photothermal properties, which led to significant advancements in anti-tumor research. Consequently, a range of anti-cancer strategies has been devised by leveraging the exceptional capabilities of MOFs, including intelligent drug delivery systems, photodynamic therapy, and photothermal therapy, which are particularly tailored for the tumor microenvironment.

LO-MLPRNN: A Classification Algorithm for Multispectral Remote Sensing Images by Fusing Selective Convolution.

To address the limitation of traditional deep learning algorithms in fully utilizing contextual information in multispectral remote sensing (RS) images, this paper proposes an improved vegetation cover classification algorithm called LO-MLPRNN, which integrates Large Selective Kernel Network (LSK) and Omni-Dimensional Dynamic Convolution (ODC) with a Multi-Layer Perceptron Recurrent Neural Network (MLPRNN). The algorithm employs parallel-connected ODC and LSK modules to adaptively adjust convolution kernel parameters across multiple dimensions and dynamically optimize spatial receptive fields, enabling multi-perspective feature fusion for efficient processing of multispectral band information. The extracted features are mapped to a high-dimensional space through a Gate Recurrent Unit (GRU) and fully connected layers, with nonlinear characteristics enhanced by activation functions, ultimately achieving pixel-level land cover classification.

Oxoisoaporphine Alkaloid Iridium(III) Derivative: An Immunogenic Cell Death Inducer That Engages the Autophagy-Dependent Regulator Cathepsin D.

Autophagy has been recognized as one of the pathways for eliciting immunogenic cell death (ICD). However, the specific molecular target responsible for autophagy-mediated ICD has not yet been elucidated. Here, we report that an oxoisoaporphine alkaloid-modified iridium(III) complex () displays autophagy-inducing ICD activity.

Comparison of case-based learning and traditional lecture in teaching residents on research misconduct: a controlled before-and-after study.

As scientific outputs continue to surge, research misconduct has garnered global attention. Case-based learning (CBL), an active student-centered learning strategy, possesses many advantages but has not been widely used in China due to resource constraints. This study aimed to address the research gap regarding the impact of CBL and traditional lecture on residents' knowledge and attitudes towards research misconduct.

Five-Cavity Resonance Inspired, rGO Nano-Sheet Reinforced, Multi-Site Voice Synergetic Detection Hydrogel Sensors with Diverse Self-Adhesion and Robust Wireless Transmissibility.

The practical application of flexible sensors in sound detection is significantly hindered by challenges such as information isolation, fragmentation, and low fidelity. To address these challenges, this work developed a composite hydrogel via a one-pot method, employing polyvinyl alcohol (PVA) as the first network, polyacrylic acid (PAA) as the second network, and two-dimensional nanomaterials-reduced graphene oxide (rGO)-generated through the redox reaction of polydopamine (PDA) and graphene oxide (GO) as conductive fillers. The uniformly distributed rGO within the hydrogel forms an efficient conductive network, endowing the material with high sensitivity (GF = 0.

Impact of exercise on drug cravings: mediating role of cardiorespiratory fitness and inhibitory control.

Background: Contemporary research has consistently demonstrated a link between physical exercise, inhibition, and drug cravings, with several hypotheses proposed to explain how exercise enhances inhibition. However, few studies have explored the mechanisms underlying this effect. This study investigates the pivotal role of cardiorespiratory fitness in mediating the impact of physical exercise on inhibition and drug cravings.

Inhibition of energy metabolism in macrophages to block MPS for enhancing the chemotherapy efficacy.

Various biological barriers hinder the effective use of administered nanoparticles, with the mononuclear phagocyte system (MPS) being a major obstacle to their efficacy. Glucose metabolism is an important factor for macrophages to perform MPS clearance . In this study, energy metabolism-blocking nanoparticles PEG-S-S-PLA@RGD @Dox@BAY876 (RPDB NPs) were developed to change drug distribution in the body, improving the efficacy of chemotherapy.

Information technology assists in the innovative development of throwing embroidered balls.

This study aims to understand the historical and development of throwing embroidered balls, combine information processing and drone technology to innovate throwing techniques, improve the competitive level and competition rules, promote the high-pole throwing embroidered balls to the international sports. Utilizing literature review method to clarify the evolution history of throwing embroidered balls; using mathematical statistics to analyze the results of competition during the 12th and 13th Guangxi Student Games; Using mechanics analysis and animation production methods innovate throwing techniques. The imperfect competition rules, inconsistent specifications of embroidered balls, and outdated throwing techniques have hindered the healthy development of throwing embroidery ball.

Ruthenium Catalyzed Ortho-Arylation Reaction of Benzoic Acids with Arylthianthrenium Salts.

Arylthianthrenium salts have become key intermediates for late-stage functionalizations of drug-like molecules. Ruthenium-phosphine catalysts are now shown to enable their use as aryl sources in high-yielding ortho-C─H arylations of benzoic acids. The arylthianthrenium salts are converted chemo-selectively, leaving aryl halides and boronates untouched.

Study on the Effects of Vibration Force Field on the Mixing and Structural Properties of PLA/PBS/EGMA Blends.

This study investigates the effects of a vibration force field on the mixing and structural properties of polylactic acid (PLA), polybutylene succinate (PBS), and ethylene-glycidyl methacrylate terpolymer (EGMA) blends. A balanced triple-screw dynamic extrusion process was utilized to prepare PLA/PBS/EGMA composites under various vibration parameters, specifically amplitude and frequency. The results indicate that the introduction of a vibration force field significantly enhances the dispersion of the PLA/PBS/EGMA blend, leading to improved mechanical properties, thermal stability, and crystallization behavior.

CHARLS insights into the impact of dual interactions of chronic diseases on depression in middle-aged and elderly individuals.

Depression and chronic diseases are closely linked, but the combined impact of multiple chronic diseases on depression is not well understood due to limited research on their interaction. This study aimed to examine how the interaction of chronic diseases influences depression in middle-aged and elderly individuals, and to identify high-risk factors for depression related to these disease interactions. In this study, depression among middle-aged and elderly individuals was designated as the dependent variable.

Comparison of hyperthermic intravesical chemotherapy using pirarubicin and Bacillus Calmette-Guérin in the treatment of patients with high-risk non-muscle-invasive bladder carcinoma: a retrospective study.

Purpose: To evaluate and compare the effectiveness and safety of hyperthermic intravesical chemotherapy (HIVEC) utilizing pirarubicin (THP) and Bacillus Calmette-Guérin (BCG) in the treatment of individuals diagnosed with high-risk non-muscle-invasive bladder cancer (NMIBC).

Materials And Methods: This study was a retrospective study that combined a review of medical records with an outcomes management database. A total of 48 patients who received HIVEC with THP and 43 patients who received BCG treatment following transurethral resection of bladder tumors (TURBT) were found between January 2017 and December 2020.

Plasma-lyte solution versus saline in kidney transplantation: A systematic review and meta-analysis of randomized controlled trials.

Introduction: The optimal intravenous fluid for kidney transplantation (KT) is still controversial. This meta-analysis aimed to compare the efficacy and safety of plasma-lyte solution (PL) versus saline (NS) in kidney transplantation.

Materials And Methods: A comprehensive search was conducted across four databases (PubMed, Embase, Web of Science, and the Cochrane Library) to identify relevant randomized controlled trials (RCTs) comparing plasma-lyte and saline in kidney transplantation.

Covalent organic framework encapsulated multi-walled carbon nanotubes for ultrasensitive electrochemical determination of lead ions in water and e-cigarette samples.

Trace amounts of lead ions present in aqueous solutions pose significant health risks to humans. Therefore, it is crucial to develop a sensor capable of rapidly detecting trace amounts of Pb(II). We developed a material utilising covalent organic frameworks encapsulating multi-walled carbon nanotubes (Tp-Bpy-COF@MWCNTs).

Visible Light-Induced Tandem Radical Cyclization for the Synthesis of 2-(3-Cyanoalkyl)Substituted Quinoline Derivatives.

A highly efficient 6-endo-trig radical cyclization reaction between cyclobutanone oximes and 1-isocyano-2-vinylbenzenes via visible light-induced photoredox catalysis has been realized in the presence of 2 mol % of -Ir(ppy) as the photocatalyst, which gave rise to a variety of 2-(3-cyanoalkyl)substituted quinoline derivatives with moderate to excellent yields under mild reaction conditions.

Enhanced spectral signatures with Ag nanoarrays in hyperspectral microscopy for CNN-based microplastics classfication.

Microplastics are a pervasive pollutant in aquatic ecosystems, raising critical environmental and public health concerns and driving the need for advanced detection technologies. Microscopic hyperspectral imaging (micro-HSI), known for its ability to simultaneously capture spatial and spectral information, has shown promise in microplastic analysis. However, its widespread application is hindered by limitations such as low signal-to-noise ratios (SNR) and reduced sensitivity to smaller microplastic particles.