Exploring Cistanche's therapeutic potential and molecular mechanisms in asthma treatment.

Asthma, a prevalent chronic respiratory disease, is characterized by airway inflammation and hyperresponsiveness, significantly impacting global health. Current treatments, including corticosteroids, face limitations due to variable patient responses and side effects. This study explores the therapeutic potential of Cistanche, a traditional Chinese medicinal herb, in an asthmatic mouse model induced by house dust mites (HDM).

Internal Control Quality and Boardroom Backscratching.

In modern firms, conflicts may arise between the chief executive officer and board of directors due to the separation of ownership and operations. Such conflicts may weaken listed companies' performance in the short term or affect their development in the long term. Using data on Shanghai and Shenzhen A-share listed companies from 2013 to 2022, this study empirically examines the impact of internal control quality on boardroom backscratching.

Capturing signals of road traffic safety risk: based on the spatial-temporal correlation between traffic violations and crashes.

Objective: The paper aims to explore the possibility of using traffic violations as indicators for spatial-temporal risk of traffic safety within road network constraints, identify key types of traffic violations that indicate spatial-temporal risks in road traffic safety, and investigate their distribution patterns at the road section level.

Methods: Firstly, we employ the Ripley's K function with network constraints and utilize rigorous statistical inference to thoroughly examine the spatial-temporal correlation between various types of traffic violations and crashes, identifying key types that exhibit significant correlation with crashes. Secondly, we combine Ripley's K function with network constraints, Network Kernel Density Estimation, and Local Moran's Index, to identify high-incidence road sections of these violations.

Pulsed Field Ablation of Paroxysmal Supraventricular Tachycardia: A Prospective Multicenter Single-Arm Study in China.

Background: Pulsed field ablation (PFA) has gained attention in cardiac electrophysiology, but data on its application to paroxysmal supraventricular tachycardia are limited. This study aimed to assess the feasibility and safety of PFA and its combination with radiofrequency ablation for treating paroxysmal supraventricular tachycardia.

Methods: A prospective, multicenter, single-arm study was conducted across 8 centers in China.

Integrated detrital rutile and detrital zircon ages: a new perspective on the tectonic evolution of South China.

Paleogeographic reconstructions are of key importance for understanding the history of continental breakups and amalgamations during Earth's history. A special case is the history of the Asian continent, which, compared to other continents, consists of several large cratons and numerous smaller continental blocks. The history of the assembly of South China remains controversial in terms of the timing, Late Neoproterozoic or Early Paleozoic, and the participating continental blocks, e.

ABAQUS-based research on the parameters of highway subgrade vibratory compaction and vibration wave propagation laws.

Vibratory rollers are generally used in the process of highway subgrade compaction. In the paper, the vibratory roller-subgrade finite element model was established to simulate the field construction by using ABAQUS. We used Hilbert-Huang Transform to analyze the compaction in the field test from the time-frequency domain.

New insights into typical biodegradable plastics in rapid pyrolysis: Kinetics, product evolution and transformation mechanism.

Biodegradable plastics (BP) have undergone rapid development in the field of replacing traditional packaging plastics. However, their recycling and disposal systems are unclear, and the standards are different, causing new environmental pollution. The rapid and appropriate disposal of BP has become a worthy direction of exploration.

Electronic properties, optical transparency and transport properties of the p-type transparent conductive oxide family SnPbNbO ( = 0, 0.5, 1.0, 1.5, and 2.0): a density functional theory study.

Based on density functional theory, we introduce a novel family of p-type transparent conductive oxides, SnPbNbO ( = 0, 0.5, 1.0, 1.

Association of depression with gastroesophageal reflux disease, and the mediating role of risk factors: a Mendelian randomization study.

Background: Growing evidence suggests that depression affects gastroesophageal reflux disease (GERD). But, the relationship between depression and GERD is unclear. To examine the relationship between depression and the risk of GERD, as well as the mediating role of risk factors.

Lack of WDFY4 leads to impaired immune response and poor cancer prognosis.

WDFY4 plays an essential role in the immune system by regulating B-cell growth and development and participating in antigen processing during cross-presentation. WDFY4 is closely related to asthma and systemic lupus erythematosus; however, its role in cancer remains unclear. The purpose of this study is to use bioinformatics to determine whether abnormal expression of WDFY4 is a risk factor for cancer and to preliminarily analyze the ways in which WDFY4 affects cancer through experiments.

An Efficient and Stable Registration Framework for Large Point Clouds at Two Different Moments.

Point cloud registration plays a great role in many application scenarios; however, the registration of large-scale point clouds for actual different moments suffers from the problems of low efficiency, low accuracy, and a lack of stability. In this paper, we propose a registration framework for large-scale point clouds at different moments, which firstly downsamples large-scale point clouds using a random sampling method, then performs a random expansion strategy to make up for the loss of information caused by the random sampling, then completes the first registration by a deep learning network based on the extraction of keypoints and feature descriptors in combination with RANSAC, and finally completes the registration using the point-to-point ICP method. We conducted validation experiments and application experiments on large-scale point clouds of key train components, and the experimental results are much higher in accuracy or efficiency than other methods, which proves the effectiveness of our framework, which can be applied to actual large-scale point clouds.

Motion resistance in peripheral oxygen saturation monitoring using Biolight Analog SpO compared to Masimo SpO: a non-inferiority study.

Background: Pulse oximeters are vital for assessing blood oxygen levels but can produce inaccurate readings during patient motion, leading to false alarms and alarm fatigue. Analog SpO Technology, which uses analog waveforms to filter motion artifacts, may improve accuracy compared to digital sensors. However, the effectiveness of this technology in reducing false alarms in clinical settings remains unclear.

Polyphenols and Functionalized Hydrogels for Osteoporotic Bone Regeneration.

Osteoporosis induces severe oxidative stress and disrupts bone metabolism, complicating the treatment of bone defects. Current therapies often have side effects and require lengthy bone regeneration periods. Hydrogels, known for their flexible mechanical properties and degradability, are promising carriers for drugs and bioactive factors in bone tissue engineering.

The current state and trends of immunotherapy research in lung cancer: a review and bibliometric analysis.

In recent years, the integration of immunotherapy in the treatment of lung cancer has marked a significant evolution in the field. This is evidenced by the surge in the volume of scientific publications, reflecting rapid advances over time. This paper presents a bibliometric analysis of lung cancer and immunotherapy research from January 2012 to December 2022, drawing on the Web of Science literature database and using the citexs data analysis platform to examine the shifts in topic hotspots over the decade.

Effects of biochar-loaded microbial agent in regulating nitrogen transformation and integration into humification for straw composting.

Exogenous additives can impact organic matter transformation in composting, but their effects on nitrogen conversion and humification in straw composting require clarification. This study investigated how rice husk biochar-loaded microbial agent (RM) affects nitrogen transformation and humification during straw composting. Results showed that the addition of RM enhanced ammonia oxidation and assimilation during composting, leading to a 10.

Preparation, Crystal Structure, and Properties of the Kagome Metal ThVSn.

Kagome lattice materials are anticipated to exhibit unique properties stemming from the intricate interplay among geometry, magnetism, electronic correlation, and band topology. Here, we report a new ternary compound, ThVSn, which contains double-layer kagome networks composed of vanadium atoms. The compound crystallizes in an HfFeGe-type structure with cell parameters of = = 5.

Conductive polyphenol microneedles coupled with electroacupuncture to accelerate wound healing and alleviate depressive-like behaviors in diabetes.

Inflammation and depression are serious complications of diabetes that interact to form a feedback loop and may hinder diabetic wound healing. They share a common pathophysiological basis of abnormal interactions between diabetic wounds and the brain. Here, we propose a strategy combining electroacupuncture (EA) stimulation of the Dazhui acupoint (GV14) with polyphenol-mediated conductive hydrogel microneedles to promote diabetic wound healing and alleviate depression through local wound-brain interactions.

Spatiotemporal variations of PM and ozone in urban agglomerations of China and meteorological drivers for ozone using explainable machine learning.

Ozone pollution was widely reported along with PM reduction since 2013 in China. However, the meteorological drivers for ozone varying with different regions of China remains unknown using explainable machine learning, especially during the COVID-19 pandemic. Here we first analyzed spatiotemporal variations of PM and ozone from 2015 to 2022 in eleven urban agglomerations of China.