Research on Switching Current Model of GaN HEMT Based on Neural Network.

The switching characteristics of GaN HEMT devices exhibit a very complex dynamic nonlinear behavior and multi-physics coupling characteristics, and traditional switching current models based on physical mechanisms have significant limitations. This article adopts a hybrid architecture of convolutional neural network and long short-term memory network (CNN-LSTM). In the 1D-CNN layer, the one-dimensional convolutional neural network can automatically learn and extract local transient features of time series data by sliding convolution operations on time series data through its convolution kernel, making these local transient features present a specific form in the local time window.

Effects of Zygosaccharomyces rouxii on metabolites and volatile substances during the fermentation of jujube beverage based on LC-MS, HS-GC-IMS and ET analysis.

Fermentation can significantly change the chemical composition and aroma profile of beverage. In this study, a strain of Zygosaccharomyces rouxii was isolated from naturally fermented concentrated jujube beverage. The effects of Zygosaccharomyces rouxii on the metabolites and flavor of the fermented jujube beverage were analyzed using LC-MS, HS-GC-IMS, and ET.

A Novel ZjbZIP33-ZjPRX1 Module Positively Regulates Lignin Formation in the Jujube Fruit Stone.

Fruit stones play an important role in fruit development and are closely related to fruit quality. Lignification of the fruit stone (endocarp) is a typical feature of stone fruits. Stoneless jujube is a valuable jujube germplasm resource, and the degree of lignification of its fruit stone is low.

Prognosis of Pediatric Dilated Cardiomyopathy: Nomogram and Risk Score Models for Predicting Death/Heart Transplantation.

This study aimed to develop a predictive model to assess risk factors and prognoses in pediatric patients with dilated cardiomyopathy (DCM). A total of 233 pediatric patients with DCM who were hospitalized between January 2019 and June 2024 were enrolled. The children were followed up and categorized into two groups: the death/heart transplantation (D/HT) group and the non-D/HT group.

Effects of selenium supplementation on ornithine carbamoyl-transferase activity, the metabolisms of associated amino acids and fermentation flavors of Levilactobacillusbrevis.

Effects of Se supplementation on ornithine carbamoyl-transferase (OCT) activity and fermentation characteristics of Lactic acid bacteria are rarely reported. This work aimed to investigate the influences of Se supplementation on the OCT activity of Se-enriched L. brevis CICC 6239 with the metabolism of amino acids and flavor compounds of wolfberry wine.

Automated tactics planning for cyber attack and defense based on large language model agents.

In recent years, the complexity and frequency of cyber incidents have escalated, necessitating more advanced and automated solutions for all attackers and defenders in cybersecurity, while traditional methods cannot provide timely and effective tactics planning for attackers and defenders. At this situation, this paper explores the abilities of Large Language Models (LLMs) from the Reinforcement Learning (RL) perspective to achieve automated tactics planning for cyber attack and defense. By leveraging the natural language understanding and generation capabilities of popular LLMs, this paper aims to formulate and develop more complex tactics for the specific network.

Association of Systemic Inflammatory Response Index with Disease Severity and Adverse Outcome in Chronic Thromboembolic Pulmonary Hypertension.

Background: Composite inflammatory markers, such as the systemic inflammatory response index (SIRI), are associated with the severity and progression of several cardiovascular diseases. However, the relationship between SIRI and chronic thromboembolic pulmonary hypertension (CTEPH) remains unclear. We hypothesized that elevated SIRI levels would correlate with disease severity and independently predict adverse clinical outcomes in patients with CTEPH.

Physical activity modulates inhibitory control: EEG insights from P300 and theta oscillations.

Introduction: Previous studies have mainly focused on the effects of exercise on inhibitory control, but the impact of daily physical activity has not been thoroughly examined. This study aims to investigate how physical activity affects inhibitory control functions and the underlying neural mechanisms involved.

Methods: We examined 36 adults, divided into two groups based on their daily physical activity levels: a high physical activity level (HPAL) group consisting of 18 participants and a low physical activity level (LPAL) group, also with 18 participants.

Deep Learning-Enhanced Noninvasive Detection of Pulmonary Hypertension and Subtypes via Chest Radiographs, Validated by Catheterization.

Background: Pulmonary hypertension (PH) is a complex, life-threatening condition requiring noninvasive, accessible, and accurate diagnostic tools, particularly in resource-limited settings. Early and precise identification of PH and its subtypes is critical for effective management and timely intervention.

Research Question: Can deep learning (DL) methods applied to chest radiography (CXR) accurately detect PH and its subtype, congenital heart disease-associated pulmonary arterial hypertension (CHD-PAH)?

Study Design And Methods: A retrospective cohort study was conducted with 4,576 patients, including 2,288 patients with PH, who underwent CXR followed by right heart catheterization (RHC) or transthoracic echocardiography.

Predicting the Nonunion of the Acute Osteoporotic Vertebral Compression Fracture Following Low-Energy Injuries by Quantifying Vertebral Marrow Fat Fraction on T-Weighted Dixon Sequences.

Objective: Increased marrow fat fraction (MFF) of vertebrae was detected in patients with osteoporosis. However, MFF of the fractured vertebrae decreased significantly following the fracture. The aim of this study was to assess the predictive value of fractured vertebrae MFF quantified on T-weighted Dixon sequences for the prediction of nonunion risk of acute OVCF.

Influence of an Alkaline Activator and Mineral Admixture on the Properties of Alkali-Activated Recycled Concrete Powder-Foamed Concrete.

Alkali-activated recycled concrete powder-foamed concrete (ARCP-FC) is a new type of insulation architectural material, which is prepared using recycled concrete powders (RCPs), slag powders, fly ash, and sodium silicate. In this study, the influence of the water-to-cement (W/C) ratio, the NaO content, and the mineral admixture content on the mechanical strength, physical properties, and thermal conductivity of ARCP-FC were investigated. The results showed that the compressive strength and dry apparent density of ARCP-FC decreased with the increase in the W/C ratio.

Expression of lumbrokinase protein genes in Escherichia coli.

In this study, we present a novel method for the heterologous expression of lumbrokinase proteins in Escherichia coli, aimed at overcoming the limitations of traditional extraction and purification processes. By lowering the expression temperature to 16 °C, we successfully reduced the formation of inclusion bodies and expressed three lumbrokinase proteins-A0A0P0YK20, A8ILN1, and Q8I6N3-demonstrating fibrinolytic activity with enzyme activities of 7040 U/mL, 46,772.6 U/mL, and 21,800 U/mL, respectively.

Impact of Curcumin on Frozen Bovine Sperm Quality and In Vitro Bovine Oocyte Maturation.

This study aimed to analyze the effect of curcumin on the antioxidant properties and fertility of freeze-thawed bovine spermatozoa and bovine oocytes. In this study, curcumin concentrations of 0, 5, 10, 25, and 50 µM were added bovine sperm cryopreservation solution and oocyte IVM medium to assess sperm quality, antioxidant properties, oocyte maturation, IVF rate, and embryonic development. The results demonstrated that adding curcumin to the cryopreservation solution significantly improved the viability, motility, and acrosome integrity of bull sperm after freezing and thawing ( < 0.

Association of Ambient Air Pollution With Invasive Pulmonary Hemodynamics and Long-Term Outcomes in Patients With Pulmonary Arterial Hypertension.

Background: Although the impact of ambient air pollution on mortality in cardiovascular and pulmonary diseases is well documented, its specific link to pulmonary arterial hypertension remains unclear. This study investigated the association between ambient particulate matter (PM) exposure and all-cause death or lung transplantation, as well as pulmonary hemodynamics in patients with pulmonary arterial hypertension.

Methods: This retrospective cohort study included 1327 participants with pulmonary arterial hypertension who underwent right heart catheterization (RHC).

A Recently Patented Sleeve-Type Endotracheal Tube: Innovative Design and Clinical Prospects for Improving One-Lung Ventilation.

The Sleeve-Type Endotracheal Tube (STET) is an innovative airway management device designed to address the limitations associated with traditional double-lumen tubes (DLTs) and bronchial blockers (BBs). Utilizing a modular structure comprising an outer sheath tube, inner sheath tube, and blocking tube, the STET offers increased flexibility in one-lung ventilation (OLV) and airway clearance, thereby reducing airway trauma and improving ventilation efficiency. Its dual-cuff system ensures stable positioning, while its versatile design accommodates diverse patient populations, including pediatric patients and those with difficult airway anatomy.

Better radiological outcomes but equal clinical function of a novel knee arthroplasty robot system: a prospective randomized controlled trial.

Purpose: This study aimed to evaluate the early clinical and radiological outcomes of robot assisted total knee arthroplasty, and to determine the efficiency and safety of its bone resection and implant positioning of the novel robot system.

Methods: 144 patients who underwent primary TKA were enrolled in this prospective, multicenter RCT conducted in three hospitals. five patients were lost to follow-up at six weeks after surgery.

Development and validation of multimodal deep learning algorithms for detecting pulmonary hypertension.

Transthoracic echocardiography (TTE), commonly used for initial screening of pulmonary hypertension (PH), often lacks sufficient accuracy. To address this gap, we developed and validated a multimodal fusion model for improved PH screening (MMF-PH). The study was registered in the ClinicalTrials.

Carbon policy and firms' OFDI in the digital era: Insights from China.

ObjectiveCreating a low-carbon economy has become an essential goal in fostering green development. In the context of achieving sustainability, in 2014, China implemented a carbon emission trading system (ETS) to conserve energy and reduce emissions. This study examined the effect of the carbon ETS on the outward foreign direct investment (OFDI) of Chinese listed firms.

Establishment and validation of a predictive model for coronary artery lesions in children with KDSS.

Background: Kawasaki Disease Shock Syndrome (KDSS) represents a severe manifestation of Kawasaki Disease (KD). In recent years, logistic regression prediction models have gained widespread application in forecasting the occurrence probabilities of various diseases. The objective of this study is to explore the clinical characteristics of pediatric patients with KDSS complicated by coronary artery lesions (CALs) and to develop and validate a logistic regression model for predicting the likelihood of CALs in children with KDSS.

Integrated RNA-Seq and Metabolomics Analyses of Biological Processes and Metabolic Pathways Involved in Seed Development in L.

In peanut cultivation, fertility and seed development are essential for fruit quality and yield, while pod number per plant, seed number per pod, kernel weight, and seed size are indicators of peanut yield. In this study, metabolomic and RNA-seq analyses were conducted on the flowers and aerial pegs (aerpegs) of two peanut cultivars JNH3 (Jinonghei) and SLH (Silihong), respectively. Compared with SLH, JNH3 had 3840 up-regulated flower-specific differentially expressed genes (DEGs) and 5890 up-regulated aerpeg-specific DEGs.

Inhibition Effects of Infrared Radiation Prior to Cold Storage Against on Yellow Peach ().

During postharvest storage, the yellow peach () is susceptible to infection by , which causes fruit decay and produces multiple toxins (ATs), leading to economic losses and potential health risks. The present study investigated the inhibitory effects of infrared radiation treatment against on yellow peaches. Our in vitro experimental results indicated that infrared radiation at 50 °C for 30 min could completely inhibit fungal growth and AT production.

Research on the motion error compensation method of vacuum arc cathode speckle trajectory tracking under direct current disconnection.

The cathode spot motion characteristics of vacuum arc are closely related to the evolution law of the arc, and there are the errors of institutional motion and overhead viewpoint leading to distortion of the cathode spot trajectory through the high-speed camera in the process of cathode spot motion information acquisition. Experimentally, it is found that before the error compensation, the circular morphological features of the contact surface present ellipse in the captured image, which indicates that the acquired trajectory contains perspective error; the trajectory presents the pixel vertical drop distribution, which indicates that the acquired trajectory contains the error of institutional motion. Based on this, this paper proposes a correction algorithm for cathode speckle trajectory tracking and motion visual error compensation to restore the real motion trajectory of the cathode speckle, and conducts experimental verification.

Artificial intelligence in obstructive sleep apnea: A bibliometric analysis.

Objective: To conduct a bibliometric analysis using VOSviewer and Citespace to explore the current applications, trends, and future directions of artificial intelligence (AI) in obstructive sleep apnea (OSA).

Methods: On 13 September 2024, a computer search was conducted on the Web of Science Core Collection dataset published between 1 January 2011, and 30 August 2024, to identify literature related to the application of AI in OSA. Visualization analysis was performed on countries, institutions, journal sources, authors, co-cited authors, citations, and keywords using Vosviewer and Citespace, and descriptive analysis tables were created by using Microsoft Excel 2021 software.

TGF-β1 Mediates Novel-m0297-5p Targeting to Participate in the Proliferation of Ovarian Granulosa Cells in Small-Tailed Han Sheep.

MiRNAs regulate follicle development and atresia, steroid production, granulosa cell (GC) proliferation, and apoptosis. However, the target genes and the functioning of novel miRNAs remain unexplored. We reveal the targeting relationship between novel-m0297-5p and and the specific regulatory mechanism of GC proliferation in small-tailed Han sheep using whole transcriptomic sequencing.