: Empowering artificial intelligence for respiratory diseases diagnosis based on electronic health records, a multicenter study.

Respiratory diseases pose a significant global health burden, with challenges in early and accurate diagnosis due to overlapping clinical symptoms, which often leads to misdiagnosis or delayed treatment. To address this issue, we developed , an artificial intelligence (AI)-based diagnostic system that utilizes natural language processing (NLP) to extract key clinical features from electronic health records (EHRs) for the accurate classification of respiratory diseases. This study employed a large cohort of 31,267 EHRs from multiple centers for model training and internal testing.

A deep learning method based on multi-scale fusion for noise-resistant coal-gangue recognition.

Coal-gangue recognition technology plays an important role in the intelligent realization of integrated working faces and coal quality improvement. However, the existing methods are easily affected by high dust, noise, and other disturbances, resulting in unstable recognition results that make it difficult to meet the needs of industrial applications. To realize accurate recognition of coal-gangue in noisy environments, this paper proposes an end-to-end multi-scale feature fusion convolutional neural network (MCNN-BILSTM) based gangue recognition method, which can automatically learn and fuse complementary information from multiple signal components of vibration signals.

Shenling Baizhu San improves spermatogenic dysfunction in hyperuricemia mice by regulating Sirt3/Nrf2 to inhibit testicular ferroptosis.

Ethnopharmacological Relevance: The effect of hyperuricemia (HUA) on testicular spermatogenesis cannot be ignored. The classical Chinese medicine compound Shenling Baizhu San (SLBZS) can reduce uric acid and improve testicular spermatogenesis, while researchers have not well explored the related pathology and pharmacodynamic mechanism have.

Aims Of Study: To investigate whether the dysfunction of testicular spermatogenesis caused by HUA and the therapeutic effect of SLBZS are related to testicular cell ferroptosis.

The predictive value of endplate morphology and pedicle screw bone quality score on screw loosening after single-level lumbar spinal fusion surgery.

Objective: This study aims to explore the predictive value of endplate morphology and pedicle screw bone quality score on screw loosening after single-level lumbar spinal fusion surgery.

Methods: A retrospective analysis was conducted on the clinical data of 207 patients who underwent single-level lumbar spinal fusion (34 in the screw loosening group and 173 in the non-screw loosening group). Univariate analysis and binary logistic regression model analysis were performed using SPSS 27.

Solid Solution Derived Cu Clusters on Partially Reduced CuCeO with Abundant Oxygen Vacancies Enable Efficient Reverse Water Gas Reaction.

The reverse water gas shift (RWGS) reaction provides a convenient approach to convert CO to CO, which facilitates to achieve the goals of carbon peaking and carbon neutrality. Herein, the Cu/CeO catalyst prepared by a co-precipitation method using a mixture of NaCO and NaOH at pH of 10 (sample Cu/CeO-10) achieved an intrinsic reaction rate of 428.4 mmol ⋅ g  ⋅ h with 100 % CO selectivity at 400 °C and CO/H ratio of 1 : 4, which is much higher than Cu/CeO prepared by impregnation and other methods.

Preparation, characterization, formation mechanism, and stability studies of zein/pectin nanoparticles for the delivery of prodigiosin.

Prodigiosin (PG) is a natural compound produced by microorganisms, that is known for its promising bioactive properties. However, owing to its inherent water insolubility, low bioavailability, and poor stability, the practical application of prodigiosin remains challenging. In this work, the nanoparticles of prodigiosin-loaded zein-pectin were prepared using electrostatic deposition and antisolvent precipitation methods.

Development of a clinical predictive model for cement loosening after vertebral augmentation in osteoporotic vertebral compression fractures.

Purpose: This study aims to identify the risk factors associated with bone cement loosening after percutaneous vertebroplasty/kyphoplasty (PVP/PKP) for osteoporotic vertebral compression fractures (OVCF) and to develop a clinical prediction model for bone cement loosening.

Methods: Clinical data of patients who underwent PVP/PKP for OVCF at Guangzhou Panyu Hospital from June 2017 to June 2021 were collected, with a division into loosening group and normal group based on postoperative follow-up imaging. Univariate analysis was conducted to explore the correlation between clinical data and bone cement loosening.

Endoplasmic Reticulum Stress Induces ROS Production and Activates NLRP3 Inflammasome Via the PERK-CHOP Signaling Pathway in Dry Eye Disease.

Purpose: The purpose of this study was to investigate the potential roles of endoplasmic reticulum (ER) stress in the development of dry eye disease (DED).

Methods: Single-cell RNA sequencing (scRNA-seq) data from the Gene Expression Omnibus (GEO) database, derived from corneal tissues of a dry eye mouse model, was processed using the Seurat R program. The results were validated using a scopolamine-induced dry eye mouse model and a hyperosmotic-induced cell model involving primary human corneal epithelial cells (HCECs) and immortalized human corneal epithelial (HCE-2) cells.

Biomimetic astrocyte cell membrane-fused nanovesicles for protecting neurovascular units in hypoxic ischemic encephalopathy.

Hypoxic ischemic encephalopathy (HIE) refers to neonatal hypoxic brain injury caused by severe asphyxia during the perinatal period. With a high incidence rate and poor prognosis, HIE accounts for 2.4% of the global disease burden, imposing a heavy burden on families and society.

Neuroticism and cerebral small vessel disease: A genetic correlation and Mendelian randomization analysis.

Objectives: The association of neuroticism and cerebral small vessel disease (CSVD) development remains unclear. In this study, we used Mendelian randomization (MR) to explore the potential role of neuroticism in CSVD development.

Methods: We collected data on ischemic stroke (IS); small vessel stroke (SVS); three neuroimaging markers altered in CSVD, including white matter hyperintensity (WMH), fractional anisotropy (FA), and mean diffusivity (MD); and three neuroticism clusters, including depressed affect, worry, sensitivity to environmental stress and adversity (SESA), from large-scale genome-wide association studies (GWAS).

A comprehensive dual energy method for CBCT metal artifact reduction.

A major limitation in cone beam CT (CBCT) application is the presence of metal artifacts when scanning metal-embedded objects or high attenuation materials. This study aims to develop a dual-energy based method for effective metal artifact reduction.The proposed method comprised three steps.

Nucleus-targeted Silencer nanoplatform regulating ZEB1-AS1 in head and neck squamous cell carcinoma therapy.

Long noncoding RNAs have emerged as key players in the progression of head and neck squamous cell carcinoma (HNSC). Among them, ZEB1-AS1 was identified as an upregulated candidate in HNSC through comprehensive analysis of RNA-sequencing datasets. Here, elevated ZEB1-AS1 expression was correlated with poor prognosis in HNSC patients.

Exciton dynamics in CsPbBr3 single crystal: LT splitting energy, exciton-polariton dispersion, and biexciton binding energy.

Metal halide perovskite materials (MHPs) are promising for several applications due to their exceptional properties. Understanding excitonic properties is essential for exploiting these materials. For this purpose, we focus on CsPbBr3 single crystals, which have higher crystal quality, are more stable, and have no Rashba effect at low temperatures compared to other 3D MHPs.

Identification of the optimal reference genes for atrial fibrillation model established by iPSC-derived atrial myocytes.

Background: Atrial fibrillation (AF) stands as a prevalent and detrimental arrhythmic disorder, characterized by intricate pathophysiological mechanisms. The availability of reliable and reproducible AF models is pivotal in unraveling the underlying mechanisms of this complex condition. Unfortunately, the researchers are still confronted with the absence of consistent in vitro AF models, hindering progress in this crucial area of research.

Monomer production from supercritical ethanol depolymerization of PET plastic waste using Ni-ZnO/AlO catalyst.

Plastic waste poses a serious threat to the global environment, with recycled polyethylene terephthalate (PET) plastic accounting for a considerable portion. The application of supercritical ethanol depolymerization technology presents an effective method for recycling PET waste. This study investigated using Ni as an additive to enhance the catalytic activity of ZnO/AlO catalyst for PET waste depolymerization.

Pseudomonas aeruginosa Mediates Host Necroptosis through Rhl-Pqs Quorum Sensing Interaction.

Pseudomonas aeruginosa (P. aeruginosa) is an opportunistic pathogen that can cause serious infections in immunocompromised patients. Quorum sensing (QS), a communication system evolved by P.

Key microbial taxa play essential roles in maintaining soil muti-nutrient cycling following an extreme drought event in ecological buffer zones along the Yangtze River.

Climatic extremes, especially extreme droughts, are occurring more frequently and profoundly impacting biogeochemical processes. However, the relative importance of microbial communities on soil nutrient cycling and community maintenance under natural extreme drought events remains elusive. During a record-breaking drought in the Yangtze River Basin (YRB) in the summer of 2022, we collected ambient soils and drought-affected bare and vegetated soils in ecological buffer zones from two sites with similar soil and vegetation characteristics along the YRB, and examined the relative contribution of soil bacterial communities in supporting multi-nutrient cycling index (MNCI) involving carbon-, nitrate- and phosphorus-cycling and their associations with microbial network.

Ontology-based inference decision support system for emergency response in tunnel vehicle accidents.

Emergency response plans for tunnel vehicle accidents are crucial to ensure human safety, protect critical infrastructure, and maintain the smooth operation of transportation networks. However, many decision-support systems for emergency responses still rely significantly on predefined response strategies, which may not be sufficiently flexible to manage unexpected or complex incidents. Moreover, existing systems may lack the ability to effectively respond effectively to the impact different emergency scenarios and responses.

Multi-dimensional signals coupling of simultaneous acquisition stripping current with laser-induced breakdown spectroscopy for accurate analysis of Cd(II) in coexisting Cu(II).

Background: Despite significant advancements in detecting Cd(II) using nanomaterials-modified sensitive interfaces, most detection methods rely solely on a single electrochemical stripping current to indicate concentration. This approach often overlooks potential inaccuracies caused by interference from coexisting ions. Therefore, establishing multi-dimensional signals that accurately reflect Cd(II) concentration in solution is crucial.