A5101550815- Infrared Target Detection Methodologies
- Gut microbiota and health
- Liver Disease Diagnosis and Treatment
- Traffic control and management
- Intensive Care Unit Cognitive Disorders
- Sepsis Diagnosis and Treatment
- Target Tracking and Data Fusion in Sensor Networks
- Advanced Photocatalysis Techniques
- Curcumin's Biomedical Applications
- Electrocatalysts for Energy Conversion
- Advanced Measurement and Detection Methods
- Diet and metabolism studies
- Autonomous Vehicle Technology and Safety
- Histone Deacetylase Inhibitors Research
- Phosphodiesterase function and regulation
- Gastric Cancer Management and Outcomes
- Industrial Gas Emission Control
- Hearing Impairment and Communication
- Model-Driven Software Engineering Techniques
- Vanadium and Halogenation Chemistry
- Metal-Catalyzed Oxygenation Mechanisms
- Heme Oxygenase-1 and Carbon Monoxide
- Educational Methods and Teacher Development
- Industrial Vision Systems and Defect Detection
- Ginger and Zingiberaceae research
Sun Yat-sen University
2022-2024
Beijing University of Chinese Medicine
2024
Jilin University
2021-2023
Yan'an University
2021
Lishui City People's Hospital
2008-2021
Jilin Medical University
2021
UNSW Sydney
2021
Anhui Medical University
2021
Air Force Engineering University
2017
Lanzhou University
2015
In the present work, MoS<sub>2</sub> quantum dots (MoS<sub>2</sub> QDs) decorated on reduced graphene oxide (RGO) as highly effective electrocatalysts were synthesized by a facile sonication method for hydrogen evolution reaction (HER).
Monocular depth estimation (MDE) is a challenging task in computer vision, often hindered by the cost and scarcity of high-quality labeled datasets. We tackle this challenge using auxiliary datasets from related vision tasks for an alternating training scheme with shared decoder built on top pre-trained foundation model, while giving higher weight to MDE. Through extensive experiments we demonstrate benefits incorporating various in-domain improve MDE quality average ~11%. Our experimental...
Curcumin is a polyphenol that has been shown to have prebiotic and cholesterol-lowering properties. This study aimed investigate the impact of curcumin on bile cholesterol supersaturation potential mechanistic role intestinal microbiota absorption. Male hamsters (n = 8) were fed high-fat diet (HFD) supplemented with or without for 12 weeks. Results showed significantly decreased levels in serum (from 5.10 4.10 mmol/L) liver 64.60 47.72 nmol/mg protein) HFD-fed reduced saturation index (CSI)...
Curcumin is a polyphenol extracted from the rhizome of turmeric, and our previous research showed that curcumin inhibited cholesterol absorption had cholesterol-lowering effect. Bisphenol A (BPA), common plasticizer, widely used in manufacture food packaging associated with non-alcoholic fatty liver disease (NAFLD). We hypothesized could protect against BPA-induced hepatic steatosis by inhibiting synthesis. Male CD-1 mice fed BPA-contaminated diet or without for 24 weeks were to test...
Abstract Cyanogen chloride (CNCl) is a highly toxic agent, but there currently lack of research on the catalytic hydrolysis reaction CNCl metal surfaces. The low efficiency and unclear mechanism have hampered development enhancement protective equipment. In this work, we focused investigating adsorption behavior copper chromium surfaces through first‐principle methods. Our findings revealed most stable configuration its terminal flipping during process. Subsequently, designed studied series...
Q fever is a zoonotic disease caused by Coxiella burnetii. Most patients have non-specific symptoms at onset. In addition, routine diagnostic tests for C. burnetii are not sensitive, and the bacterium cannot grow in general culture medium. The diagnosis of therefore poses challenge. This case study describes man with clear history tick bite who had recurrent fever, pneumonia, liver damage. Routine bacterial cultures failed to clarify pathogeny, but laboratory imaging data suggested...
The effect of different vasoactive drugs on the pH [intracellular (pH
The [Fe]/H 2 O oxidation system has found wide applications in chemistry and biology. Halogenation with this protocol halide (X − ) the biological is well established identification of heme-iron–dependent haloperoxidases. However, mimicking such halogenation process rarely explored for practical use organic synthesis. Here, we report development a nonheme iron catalyst that mimics haloperoxidases to catalyze generation HOBr from H /Br high efficiency. We discovered tridentate terpyridine...
The formation of protostellar disks is still a mystery, largely due to the difficulties in observations that can constrain theories. For example, 3D alignment between rotation disk and magnetic fields (B-fields) environment critical some models, but so far impossible observe. Here, we study possibility probing B-field using ``polarization holes'' (PHs). PHs are widely observed caused by unresolved structures. With ideal magnetohydrodynamic (MHD) simulations, demonstrate different initial...
The expression level and prognosis of Toll-like receptor 2 (TLR2) mRNA in peripheral blood mononuclear cells patients with severe sepsis after applying pulse high-volume hemofiltration (PHVHF) were investigated. Sustained PHVHF treatment was carried out on 40 the basis conventional for up to 72 h. Acute physiology chronic health evaluation (APACHE) Ⅱ scores compared before treatment. CD4+, CD8+ lymphocyte counts ratios detected using FASort 24 48 h Enzyme‑linked immunosorbent assay adopted...
Abstract Background: Our previous studies showed that low-dose bisphenol A (BPA) exposure induced gut microbiota disorder and hepatic steatosis. Curcumin is a polyphenol phytochemical with lipid-lowering prebiotic effects. This study aimed to investigate the preventive effect of curcumin on BPA-induced steatosis possible mechanism. Methods: Male CD-1 mice were fed BPA-contaminated diet or without for 24 weeks. Thereafter, blood samples collected measured lipids, transaminase...
Car following is a simple but important scenario when predicting the car trajectory. Deep neural network good at modeling such interactions between cars, it susceptible to noises in observation data especially window short, and overfitting occurs easily even if pretrained get initial weights first place. The same problem exists model-based methods, these methods are either poor adaptability or easy overfit. Therefore, our research we tackle problems by introducing adaptive interaction model...
Abstract In this paper, the samples of metal impregnators for activated carbon were prepared by Cu compound with Co, Ni, Zn and Mo compounds, respectively. The loading forms compounds on investigated. With increase calcination temperature, crystal form impregnant sample changes correspondingly. Under temperature 200 °C, copper impregnator completely decomposes into oxide a monoclinic phase structure, cobalt decompose from CoCO 3 to Co O 4 . Its main component is , cubic structure. metallic...
In the domain of intelligent driving vehicles, radar and camera sensors play a crucial role, their fusion has been widely acknowledged to enhance sensing range accuracy. This article delves into challenge asynchronous information for object detection between camera, taking consideration different sampling frequencies camera. Initially, state observation prediction models are formulated, leading proposal comprehensive target tracking model. Subsequently, matching process results is...
Microbial bile acids (BAs) metabolism plays an important role in the pathogenesis of hepatic steatosis and non-alcoholic fatty liver diseases (NAFLD). Our previous studies found that bisphenol A(BPA) exposure induced gut microbiota dysbiosis. However, whether microbiota-dependent BAs alterations were involved BPA-induced remains unclear. In this study, we explored microbial mechanisms CD-1 mice exposed to low-dose BPA for 6 months. Fecal transplantation (FMT) a broad-spectrum antibiotic...
Free lane change (FLC) is an important research direction of intelligent driving vehicles. In this paper, a decision model based on deep learning established with ego and adjacent risk properties environmental A long short-term memory neural network that can be associated time series characteristics used to the process analysis factors affecting decision. The result decision-making training shows recognition accuracy keeping reaches more than 92%. Then, human-like FLC trajectory planned...