Deficiency of ATF3 facilitates both angiotensin II-induced and spontaneously formed aortic aneurysm and dissection development by activating cGAS-STING pathway.

Background: Sporadic aortic aneurysm and dissection (AAD) is a critical condition characterised by the progressive loss of vascular smooth muscle cells (VSMCs) and the breakdown of the extracellular matrix. However, the molecular mechanisms responsible for the phenotypic switch and loss of VSMCs in AAD are not fully understood.

Methods And Results: In this study, we employed a discovery-driven, unbiased approach.

Short time solar power forecasting using P-ELM approach.

Accurately predicting solar power to ensure the economical operation of microgrids and smart grids is a key challenge for integrating the large scale photovoltaic (PV) generation into conventional power systems. This paper proposes an accurate short-term solar power forecasting method using a hybrid machine learning algorithm, with the system trained using the pre-trained extreme learning machine (P-ELM) algorithm. The proposed method utilizes temperature, irradiance, and solar power output at instant i as input parameters, while the output parameters are temperature, irradiance, and solar power output at instant i+1, enabling next-day solar power output forecasting.

Therapeutic effects of tripterygium glycosides on periodontitis: Exploring the role of ursolic acid and the RIPK3/NLRP3 signaling pathway.

Background: Periodontitis, a chronic inflammatory disease, poses challenges in treatment due to its complex etiology. Tripterygium glycosides (TGs), renowned for their immunosuppressive and anti-inflammatory capabilities, present a prospective therapeutic option for the management of periodontitis. This study delves into the therapeutic efficacy of TGs in periodontitis and reveals the fundamental mechanisms involved.

Architecting highly hydratable and permeable dense Janus membrane for rapid and robust membrane distillation desalination.

Dense Janus membranes (JMs) are potential candidates in hypersaline wastewater treatments for membrane distillation (MD). However, dense surface layers generally add obvious membrane mass transfer resistance, limiting its practical application. In this study, a novel dense JM was facilely developed by controlled interfacial polymerization utilizing a phosphonium functional monomer (THPC) on hydrophilic polyvinylidene fluoride (PVDF) substrate.

Reference Materials for Improving Reliability of Multiomics Profiling.

High-throughput technologies for multiomics or molecular phenomics profiling have been extensively adopted in biomedical research and clinical applications, offering a more comprehensive understanding of biological processes and diseases. Omics reference materials play a pivotal role in ensuring the accuracy, reliability, and comparability of laboratory measurements and analyses. However, the current application of omics reference materials has revealed several issues, including inappropriate selection and underutilization, leading to inconsistencies across laboratories.

Influence of acupuncture intensity on analgesic effects in AA rat models.

Objective: To investigate the influence of acupuncture lifting-thrusting frequency and amplitude on the analgesic effects, and its correlation with mast cell degranulation.

Methods: Acute adjuvant arthritis (AA) rat models were employed. Robot-arm aided lifting-thrusting acupuncture therapy was conducted with various frequencies (ranging from 0.

[Analysis of Groundwater Hydrochemical Variation and Its Source During the Low Water Level Period in the Southern Oasis Area of Gaochang District, Turpan City].

To explore the changes in groundwater hydrochemistry and its source influence in the low water level period of the southern oasis area of Gaochang District, Turpan City before and after the management of groundwater overexploitation, based on 12 groups of water samples in 2016 （three groups of unconfined water, nine groups of confined water） and 18 groups of water samples in 2023 （five groups of unconfined water, thirteen groups of confined water）, mathematical statistics, hydrochemical diagraph, hydrogen and oxygen isotope means, and an absolute principle component-multiple linear regression （APCS-MLR） model were used to analyze the changes and sources of groundwater hydrochemistry. The results showed that due to the dynamic conditions of groundwater, the dominant cation changed from Na to Ca, and the anion changed from HCO to SO. The dominant cation of confined water changed from Ca to Na, and the dominant anion remained unchanged as SO.

Capacitive pressure sensors based on bioinspired structured electrode for human-machine interaction applications.

Flexible pressure sensor is a crucial component of tactile sensors and plays an integral role in numerous significant fields. Despite the considerable effort put forth, how to further improve sensitivity with ingenious yet easy-to-manufacture structures and apply them to emerging fields such as structure/materials recognition, human motion monitoring, and human-machine interaction remains a challenge. Here, we develop a highly sensitive flexible capacitive pressure sensor featuring a structured electrode layer with embedded microcracks and a dielectric layer with micro-convex structures, which are combined with an iontronic interface.

Establishment and application of a high-performance liquid chromatography-mass spectrometry method for analysis of 15 bisphenols and halogenated phenols in tea.

Using high-performance liquid chromatography-mass spectrometry, fifteen bisphenols and halogenated phenols were simultaneously analyzed in tea for the first time in China. Response surface methodology was used to optimize sample preparation conditions based on QuEChERS. Finally, the limits of detection and the limits of quantification were 0.

Intelligent Microneedles Patch with Wireless Self-Sensing and Anti-Infective Actions.

Traditional microneedle (MN) technology offers unique advantages in treating wound infections; however, its single-function design lacks the capability for real-time monitoring of wound conditions, often resulting in uncontrolled drug release. Herein, an anti-infective and intelligent MN patch (SP-CSMN) integrating three functional modules is developed, including temperature monitoring, Bluetooth wireless communication, and responsive drug release. The patch employed chitosan (CS) as a porous substrate, filled with temperature-sensitive poly(N-isopropylacrylamide) (PNIPAM) to encapsulate and release the antibiotic rifampicin.

CMAP prediction and experimental validation of Forskolin as a podocyte protective and anti-proteinuric drug for nephrotoxic serum-treated mice.

Podocyte injury leads to proteinuria and glomerular diseases. Different podocyte injuries have distinct mechanisms. It is desirable to use a regimen that targets the mechanism of a given podocyte injury for a specific and improved result.

Experimental Study of Sawdust Syngas Gasification in Bench-Scale Gasifier and Three-Dimensional Numerical Analysis for Syngas Cocombustion in a 600 MW Coal-Fired Boiler Furnace.

To comprehensively explore syngas cocombustion technology, gasification experiments in a bench-scale circulating fluidized bed (CFB) and three-dimensional (3D) numerical simulations of a coal-fired boiler furnace have been conducted. In the amplification experiment of biomass gasification, sawdust has been gasified using air, oxygen-enriched air, and steam. The highest heating value of the syngas products reaches 12.

Prognostic models for progression-free survival in atypical meningioma: Comparison of machine learning-based approach and the COX model in an Asian multicenter study.

Background And Purpose: Atypical meningiomas are prevalent intracranial tumors with varied prognoses and recurrence rates. The role of adjuvant radiotherapy (ART) in atypical meningiomas remains debated. This study aimed to develop and validate a prognostic model incorporating machine learning techniques and clinical factors to predict progression-free survival (PFS) in patients with atypical meningiomas and assess the impact of ART.

Neural networks for predicting etiological diagnosis of uveitis.

Background/objectives: The large number and heterogeneity of causes of uveitis make the etiological diagnosis a complex task. The clinician must consider all the information concerning the ophthalmological and extra-ophthalmological features of the patient. Diagnostic machine learning algorithms have been developed and provide a correct diagnosis in one-half to three-quarters of cases.

High-Toughness Epoxy-Based Composites with a Bioinspired Three-Dimensional Interconnected Skeleton for Photothermal Conversion Applications.

Advanced epoxy (EP)-based composites, retaining excellent physical and mechanical properties, are in demand in many high-end devices, such as fan blades of aeroengines. However, the irreconcilable conflict between stiffness and toughness within an EP often leads to catastrophic brittle fracture. Herein, inspired by the medulla skeleton of wing feathers of , bioinspired EP-based composites (BECs) were obtained via integrating functionalized three-dimensional interconnected skeleton into a brittle EP.

Ecological and environmental effects of global photovoltaic power plants: A meta-analysis.

The construction of photovoltaic power plants (PVPPs) globally not only mitigates climate change but also exerts various impacts on terrestrial ecosystems. A comprehensive exploration of the intensity of PVPPs on the ecological environmental elements of terrestrial ecosystems, as well as their regulatory mechanisms, is an urgent scientific issue that must be addressed within the context of carbon balance. In this study, we conducted a meta-analysis to investigate the soil, climate, and biological effects of PVPPs construction, as well as changes in ecosystem CO fluxes.

Associations between housing quality and sarcopenia among older adults: evidence from China and India.

Objectives: Housing is an important social determinant of health. However, limited studies have focused on the relationship between housing quality and sarcopenia, especially in low- and middle-income countries. This study aims to examine the association between housing quality and sarcopenia in older adults in China and India.

Electrochemical Oxidative Cascade Cyclization of Alkenyl Alcohols with External Nucleophiles to Access Amino- and Hydroxy-Functionalized -Heterocycles.

A convenient electrochemical oxidative cascade cyclization of alkenes equipped with pendant alcohols with general nucleophiles was developed. Using readily available diarylmethanimine and carboxylic acids as nucleophilic sources, a broad range of internal alkene and terminal alkene substrates could produce RCO- and ArCN-functionalized -heterocycles in moderate to high yields without the requirement for external oxidants and metals. These resulting products can subsequently be hydrolyzed to yield valuable NH- and OH-functionalized tetrahydrofurans and tetrahydropyranes under mild conditions.

Bioinspired Active Dynamic Dust Remover for Multiscale Stardust Repelling of Unmanned Probe Surface.

Unmanned probes, mainly powered by solar panels, are effective tools for exploiting space resources to expand the human habitat. However, it remains a great challenge for the unmanned probes to actively repel multiscale dust particles in space. Inspired by the synergistic antifouling mechanism of fly wings and legs, a biomimetic dynamic antifouling surface (BDAS) was prepared based on a combination of self-assembly and template inversion.

Metabolomic analysis of plant-derived nanovesicles and extracellular vesicles from Pinellia ternata: insights into a temporary immersion bioreactor system.

Plant-derived nanovesicles (PDNVs) and extracellular vesicles (EVs) represent a promising area of research due to their unique properties and potential therapeutic applications. Pinellia ternata (P. ternata) is well-known for its pharmacological properties but the PDNVs and EVs derived from it have been largely understudied.

Risk factors for anxiety, depression, stress, and their comorbidities among nurses: a prospective cohort from 2020 to 2022.

Background: Nurses are at the forefront of healthcare delivery during the COVID-19, placing them at an increased risk for mental health issues. This study aimed to identify the risk factors for anxiety, depression, stress, and their comorbidities among nurses during the 2020-2022 period.

Methods: A prospective cohort of nurses in Zunyi City, China, was followed from 2020 to 2022.

Association of serum Klotho with the severity and mortality among adults with cardiovascular-kidney-metabolic syndrome.

Background: Cardiovascular-kidney-metabolic (CKM) syndrome is characterized as a systemic disease resulting from the pathophysiological interplay among metabolic risk factors, chronic kidney disease (CKD), and cardiovascular disease (CVD). The Klotho protein may serve as a novel biomarker. However, the utility of serum Klotho levels as an indicator of severity and mortality risk in CKM syndrome remains uncertain.

Relationships between resilience, perceived social support, and mental health in military personnel: a cross-lagged analysis.

Background: Despite the growing application of the Dual-factor model of mental health (DFM), there is a paucity of research on military personnel. Additionally, existing cross-sectional studies indicate that resilience and perceived social support are associated with military mental health, but the lack of cross-lagged studies precludes researchers from making causal interpretations. This study aimed to explore the longitudinal relationship between resilience, perceived social support, negative dimension of mental health (depressive symptom), and positive dimension (life satisfaction) among military personnel using cross-lagged analysis.

Microfluidic Electrospinning Core-Shell Nanofibers for Anti-Corrosion Coatings With Efficient Self-Healing Properties.

Self-healing materials have been extensively explored in metal anti-corrosion fields. However, improving the self-healing efficiency remains a significant work that severely limits their further development. Here, a strategy to fabricate anti-corrosion coatings with efficient self-healing properties based on microfluidic electrospinning technologies and UV-curable healing agents is reported.