Efficacy of Hongjing I granule, an herbal medicine, in patients with mild to moderate erectile dysfunction in a randomized controlled trial.

Background: HJIG is a potential treatment for erectile dysfunction (ED) that has been used in China for over 20 years. We conducted a multi-center, double-blind, randomized, placebo-controlled trial to evaluate the effectiveness and safety of the Chinese Herbal Medicine, Hongjing I granule (HJIG), in patients with mild to moderate erectile dysfunction (ED).

Methods: This study is structured as a randomized, double-blind, placebo-controlled trial, executed across multiple centers.

Supramolecular transparent plastic engineering covalent-and-supramolecular polymerization.

Supramolecular glass and plastic are a new generation of artificial transparent materials that exhibit excellent optical behavior and processability. However, owing to inherent deficiencies in their mechanical toughness and long-term stability, supramolecular materials lack the potential for functionalization and application. Inspired by the toughening phenomena in biological systems, a synergistic covalent-and-supramolecular polymerization strategy was applied to construct plastic-like supramolecular materials with high transmittance the solvent-free one-pot amidation of thioctic acid and (poly)amines.

Unveiling multiscale spatiotemporal dynamics of volatility in high-frequency financial markets.

This study explores the intricate dynamics of volatility within high-frequency financial markets, focusing on 225 of Chinese listed companies from 2016 to 2023. Utilizing 5-minute high-frequency data, we analyze the realized volatility of individual stocks across six distinct time scales: 5-minute, 10-minute, 30-minute, 1-hour, 2-hour, and 4-hour intervals. Our investigation reveals a consistent power law decay in the auto-correlation function of realized volatility across all time scales.

Fecal Microbiota Transplantation Alleviates Airway Inflammation in Asthmatic Rats by Increasing the Level of Short-Chain Fatty Acids in the Intestine.

Asthma is a prevalent chronic inflammatory disorder of the respiratory tract that not only manifests with respiratory symptoms but also often involves intestinal flora disorders and gastrointestinal dysfunction. Recent studies have confirmed the close relationship between the gut and lungs, known as the "gut-lung axis" theory. Fecal microbiota transplantation (FMT), a method for restoring normal intestinal flora, has shown promise in treating common gastrointestinal diseases.

Advancing Myocarditis Research: Evaluating Animal Models for Enhanced Pathophysiological Insights.

Purpose Of Review: This review aims to assess the current landscape of animal models used in myocarditis research, with a focus on understanding their utility in uncovering the pathophysiology of the disease. The goal is to evaluate these models' strengths and weaknesses and propose optimizations to make them more relevant and reliable for both mechanistic studies and therapeutic interventions in myocarditis.

Recent Findings: Recent studies have primarily utilized animal models, particularly viral and autoimmune myocarditis models, to study disease mechanisms.

Genetic association between human skin microbiota with vaginitis: a two-sample Mendelian randomization study.

The human skin microbiome is closely associated with various diseases. We aimed to find the causal association of the human skin microbiome with vaginitis. A two-way two-sample Mendelian randomization study used summary statistics of the human skin microbiota from the largest genome-wide association study meta-analysis.

Enhanced particle swarm optimization with chaotic search for offshore micro-energy systems.

As the global energy landscape shifts and sustainability becomes crucial, the offshore oil and gas sector confronts significant challenges and opportunities. This paper addresses the issues of energy efficiency and environmental impact of optimizing offshore micro-energy systems (OMIES) by proposing a multi-objective optimization model that integrates chaotic local search and particle swarm optimization (PSO). The model aims to achieve optimal scheduling of the energy system by comprehensively considering operational costs, carbon emissions, energy utilization efficiency, and energy fluctuation risks.

Evaluation of Auricular Acupressure on Myopia Prevention among Children Aged 6-12 Years with Pre-Myopia in China: Study Protocol of a Prospective Multi-Center Randomized Controlled Trial.

Background: The increasing prevalence of myopia among Chinese children and adolescents, especially at younger ages, has emerged as a significant concern in recent years. Pre-myopia is a key period for myopia prevention and control in children and adolescents. Previous studies suggested auricular acupressure (AA) therapy might offer a viable approach to prevent and slow down myopia progression.

CDPMF-DDA: contrastive deep probabilistic matrix factorization for drug-disease association prediction.

The process of new drug development is complex, whereas drug-disease association (DDA) prediction aims to identify new therapeutic uses for existing medications. However, existing graph contrastive learning approaches typically rely on single-view contrastive learning, which struggle to fully capture drug-disease relationships. Subsequently, we introduce a novel multi-view contrastive learning framework, named CDPMF-DDA, which enhances the model's ability to capture drug-disease associations by incorporating diverse information representations from different views.

A Self-Phase Separated Electrolyte toward Durable and Rollover-Stable Zinc Metal Batteries.

Aqueous zinc (Zn) metal batteries (ZMBs) have received great attention due to their safety and environmental friendliness. Although aqueous electrolytes facilitate fast kinetics in metal oxide cathodes, their incompatibility with the Zn metal anodes triggers severe hydrogen evolution reaction (HER) and dendrite growth. Herein, a self-phase separated electrolyte (SPSE) is proposed to fulfill the contradictory requirements of the anode and cathode in ZMBs.

DNA Self-Assembly Generated by Aptamer-Triggered Rolling Circle Amplification Cascades for Profiling Colorectal Cancer-Derived Small Extracellular Vesicles.

The analysis of small extracellular vesicles (sEVs) has shown clinical significance in early cancer diagnostics and considerable potential in prognostic assessment and therapeutic monitoring, offering possibilities for precise clinical intervention. Despite recent diagnostic progress based on blood-derived sEVs, the inability to specifically profile multiple parameters of sEVs proteins has hampered advancement in clinical applications. Herein, we report an approach to profile colorectal cancer (CRC)-derived sEVs by using multiaptamer-triggered rolling circle amplification (RCA) cascades.

Microfluidics for Nanomedicine Delivery.

Nanomedicine is revolutionizing precision medicine, providing targeted, personalized treatment options. Lipid-based nanomedicines offer distinct benefits including high potency, targeted delivery, extended retention in the body, reduced toxicity, and lower required doses. These characteristics make lipid-based nanoparticles ideal for drug delivery in areas such as gene therapy, cancer treatment, and mRNA vaccines.

Identification Method for Railway Rail Corrugation Utilizing CEEMDAN-PE-SPWVD.

Rail corrugation intensifies wheel-rail vibrations, often leading to damage in vehicle-track system components within affected sections. This paper proposes a novel method for identifying rail corrugation, which combines Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN), permutation entropy (PE), and Smoothed Pseudo Wigner-Ville Distribution (SPWVD). Initially, vertical acceleration data from the axle box are decomposed using CEEMDAN to extract intrinsic mode functions (IMFs) with distinct frequencies.

A Time-Frequency-Based Data-Driven Approach for Structural Damage Identification and Its Application to a Cable-Stayed Bridge Specimen.

Structural damage identification based on structural health monitoring (SHM) data and machine learning (ML) is currently a rapidly developing research area in structural engineering. Traditional machine learning techniques rely heavily on feature extraction, where weak feature extraction can lead to suboptimal features and poor classification performance. In contrast, ML-based methods, particularly deep learning approaches like convolutional neural networks (CNNs), automatically extract relevant features from raw data, improving the accuracy and adaptability of the damage identification process.

High-Stretchable and Transparent Ultraviolet-Curable Elastomer.

This work introduces an ultraviolet (UV)-curable elastomer through the co-polymerization of aliphatic polyurethane acrylate and hydroxypropyl acrylate via UV irradiation. The UV-curable elastomer presents superior mechanical properties (elongation at a break of 2992%) and high transparency (94.8% at 550 nm in the visible light region).

Effects of Distiller's Grains Biochar and on the Remediation of Cd-Pb-Zn-Contaminated Soil and Growth of Sorghum-Sudangrass.

Soil contamination with heavy metals is a significant environmental issue that adversely affects plant growth and agricultural productivity. Biochar and microbial inoculants have emerged as a promising approach to solving this problem, and previous studies have focused more on the remediation effects of single types of materials on heavy metal soil pollution. This study examined the impact of both standalone and combined applications of distiller's grains biochar, thallus, and the bacterial supernatant on the availability of cadmium (Cd), lead (Pb), and zinc (Zn) in soil, its physicochemical features, and its enzyme activities; this study also examined the growth, physiological and biochemical characteristics, and heavy metal accumulation of Sorghum-sudangrass.

Effect of Asphalt Granulation on the Performance of Artificial Graphite Anode Materials for Lithium-Ion Batteries.

In order to investigate the effects of the softening point, the addition ratio, and the median particle size (D50) of the asphalt on the performance of secondary particles of artificial graphite anode materials prepared by granulation, ten-kilogram orthogonal experiments were designed. D50 and powder orientation index (OI) value of the prepared secondary particles of artificial graphite anode materials were employed as evaluation index, and the results of the orthogonal experiments were subjected to polarity analysis, analysis of variance (ANOVA), and multiple linear regression analysis. It is demonstrated that the addition ratio of the asphalt exerts the most pronounced influence on D50 and powder OI value of secondary granular artificial graphite anode materials, followed by the softening point.

Parasitoids of Insect Pests Feeding on (Goodeniaceae) from Yongxing Island in South China Sea.

(Goodeniaceae) is an important evergreen coastal plant on islands in the South China Sea, which shows excellent tolerance for salty and drought conditions. Nevertheless, the growth of populations on these islands in the South China Sea has been threatened by a few serious insect pests. However, we know little about the biology of these pests.

Burnout and Personality Profiles Among Chinese Nurses.

Although many studies have examined the relationship between the five dimensions of personality and nurse burnout, few studies have examined the relationship between nurse burnout and the overall personality profile. In addition, nurses' demographic characteristics have been found to be related to nurses' burnout level, but the results have been inconsistent. This study aimed to determine personality profiles based on the Big Five personality model in a sample of Chinese nurses then analyze the relationship between burnout and personality profiles and demographics.

Antioxidant Effects and Potential Mechanisms of 'Chachi' Components: An Integrated Approach of Network Pharmacology and Metabolomics.

'Chachi' (CRC), recognized for its considerable edible and medicinal significance, is a valuable source of metabolites beneficial to human health. This research investigates the metabolic distinctions and antioxidant properties across four different parts of CRC, using multivariate statistical analysis to interpret metabolomic data and network pharmacology to identify potential antioxidant targets and relevant signaling pathways. The results indicate considerable metabolic differences in different parts of the sample, with 1622 metabolites showing differential expression, including 816 secondary metabolites, primarily consisting of terpenoids (31.

Metagenomic Insights into the Enhancement of Bioavailable Nitrogen in Continuous Cropping Soil Through the Application of Traditional Chinese Medicine Residue Following Fumigation.

Chemical fumigation can effectively inhibit the occurrence of soil-borne diseases; however, this approach can negatively affect the structure of the soil microbial community. The combination of soil fumigant and organic fertilizer application thus represents a widely adopted strategy in agricultural practice. Traditional Chinese medicine residue (TCMR) is a high-quality organic fertilizer; however, the impact of post-fumigation TCMR application on keystone taxa and their functional traits remains uncertain.

Effects of Language Proficiency on Selective Attention Patterns at Segmenting Boundaries in English Audio Sentences.

Background/objectives: Normative perceptual segmentation facilitates event perception, comprehension, and memory. Given that native English listeners' normative perceptual segmentation of English speech streams coexists with a highly selective attention pattern at segmentation boundaries, it is significant to test whether Chinese learners of English have a different attention pattern at boundaries, thereby checking whether they perform a normative segmentation.

Methods: Thirty Chinese learners of English with relatively higher language proficiency (CLH) and 26 with relatively lower language proficiency (CLL) listened to a series of English audio sentences.

Genome-Wide Microsatellites in : Development, Distribution, Characterization, and Polymorphism.

The yellowfin seabream () is an economically important commercial mariculture fish in China and Southeast Asia. Only a few simple sequence repeats (SSRs) of have been isolated and reported, which has hindered breeding progress. A total of 318,862 SSRs were isolated and characterized from the genome in this study.

Entropy-driven "two-way signal output" cyclic circuit: An ultra-sensitive electrochemical biosensor for non-invasive ORAOV 1 detection.

The rapid, sensitive and reliable detection of oral cancer overexpressed 1 (ORAOV 1) is crucial for the early, non-invasive diagnosis of oral squamous cell carcinoma (OSCC). Herein, we are the first to construct an ultrasensitive electrochemical (EC) biosensor based on an entropy-driven "two-way signal output" (TWSO) cyclic circuit for salivary ORAOV 1 detection. This innovative TWSO cyclic circuit can skillfully convert by-products into desired signal-generating units, not only reducing the excessive accumulation of by-products but also improving the utilization efficiency of output chains, thereby achieving rapid reaction kinetics and high signal outputs.