A5080087018- Neutrino Physics Research
- Astrophysics and Cosmic Phenomena
- Particle physics theoretical and experimental studies
- Dark Matter and Cosmic Phenomena
- Particle Detector Development and Performance
- Radiation Detection and Scintillator Technologies
- Liver Disease Diagnosis and Treatment
- Scheduling and Optimization Algorithms
- Manufacturing Process and Optimization
- Energy Efficiency and Management
- Drug-Induced Hepatotoxicity and Protection
- Diet and metabolism studies
- Building Energy and Comfort Optimization
- Ginger and Zingiberaceae research
- Evacuation and Crowd Dynamics
- Digital Transformation in Industry
- Traffic control and management
- Cancer Mechanisms and Therapy
- Thermodynamic and Exergetic Analyses of Power and Cooling Systems
- Optical Wireless Communication Technologies
- Endoplasmic Reticulum Stress and Disease
- Molecular Sensors and Ion Detection
- Acupuncture Treatment Research Studies
- Healthcare and Venom Research
- Pharmacological Effects of Medicinal Plants
Sun Yat-sen University
2013-2025
Daping Hospital
2025
Army Medical University
2025
Xi'an Jiaotong University
2023-2024
Beijing Jiaotong University
2022-2023
Institute of High Energy Physics
2023
Beijing Center for Disease Prevention and Control
2023
Université Libre de Bruxelles
2022
Pontifical Catholic University of Rio de Janeiro
2022
Federico Santa María Technical University
2022
Two ruthenium(II) polypyridyl complexes, [Ru(bpy)(2)(ptpn)](2+) (1) (bpy = 2,2'-bipyridine, ptpn 3-(1,10-phenanthroline-2-yl)-as-triazino[5,6-f]1,10-phenanthroline) and [Ru(phen)(2)(ptpn)](2+) (2) (phen 1,10-phenanthroline), were synthesized characterized. Crystal structure analysis shows that complex 1 has a large planar aromatic area possesses the potential to fit geometric of G-quadruplex. The interaction G-quadruplex DNA with Ru(ii) complexes was explored by means circular dichroism...
Abstract This study reports the performance and light yield of 1% concentration water-based liquid scintillator (WbLS) deployed in a 1000-liter detector. A 99± 15 photons per MeV is determined by comparing data with simulation. result aligns our previous determination using smaller detectors, thus establishing solid foundation for ongoing development deployment WbLS larger-scale detectors. The feasibility situ preparation stability are demonstrated, reinforcing its suitability long-term...
Background The interaction between the host and microbiota is influenced by circadian rhythm. However, it unknown what changes of gut metabolites. Methods We conducted a cross-sectional study (n=72) in which participants’ fecal DNA was detected macrogenomic sequencing analysis. feces, urine blood were analyzed widely targeted metabolomics Results Pearson correlation analysis showed that most clinical symptoms people with rhythm disorders moderately positively correlated gastrointestinal...
Abstract The Taishan Antineutrino Observatory (TAO or JUNO-TAO) is a satellite experiment of the Jiangmen Underground Neutrino (JUNO). Located near reactor Nuclear Power Plant, TAO will measure antineutrino energy spectrum with an unprecedented resolution $$<2\%$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mo><</mml:mo> <mml:mn>2</mml:mn> <mml:mo>%</mml:mo> </mml:mrow> </mml:math> at 1 MeV. Energy calibration critical to achieve such high resolution....
An accurate dynamic 3D deformation measurement method realized by the combination of phase-shifting speckle interferometry and correlation is proposed. By converting field reference into a circular polarized linear state, three-step interferograms one specklegram were recorded directly simultaneously within single image using polarization camera. Then, out-of-plane was demodulated from synchronous fringe patterns, in-plane measured performing calculations specklegrams with effect ignored....
There is a toilet flush-soil stack-floor drain pathway of aerosol transmission in multistory and high-rise buildings, but the influencing factors are not completely clear.The poor airtightness connecting parts floor drain, as well pressure fluctuations sewage pipe during flushing caused by blockage soil stack vent, may lead to cross-floor viral aerosols through drains.In bathroom drains should be kept sealed, airtight. Furthermore, vent blocked. In this way, can effectively reduced.
To the production scheduling optimization for high energy consumption process, making as objective function is relatively less. Using combinational method of system modeling simulation and improved genetic algorithm, it studies multi--objective including least cost shortest maximal flow time to HFSSP(hybrid shop problem). Finally application example introduced verify feasibility method. The proposed may provide guidance enterprise save energy.
In emergency, the crowd evacuation from public buildings is most important issue to save human lives. Panic generation and spread normally can lead unstable state -stampede during motion. The stability of a complex problem being researched for decades. This paper introduces self-organized criticality(SOC) theory build mapping model collective into sand pile with SOC. Therefore, analysis converted sandpiper in relatively simpler way.
Many important nature evolution phenomena can be explained with Self-organized criticality (SOC) theory. SOC theory explains the tendency of large dissipative systems to drive themselves into a scale-invariant critical state without parameter adjustment. These are crucial importance because fractal objects displaying found. This paper analyzes characteristics theory, and then introduces basic principles in one-dimension model. Based on self-organized owned by high-density pedestrian...
Abstract Background and objective: Colon cancer is increasing in people recently ginger ( Zingiber officinale ) , as a commonly used herbal medicine, has been suggested potential agent against colon cancer. This study was aimed to identify the bioactive compounds mechanisms of for prevention by an integrated network pharmacology approach. Methods: Putative ingredients its related targets were discerned from TCMSP database. After that, interacting with collected using Genecards, OMIM,...
Abstract Background and Aims Metabolic dysfunction‐associated steatotic liver disease (MASLD) represents the foremost cause of chronic disease, yet its underlying mechanisms remain elusive. Our group previously discovered a novel long non‐coding RNA (lncRNA) in rats, termed lncHC human counterpart, LNCHC . This study aimed to explore role progression MASLD. Methods RNA‐binding proteins bound were searched by mass spectrometry. The target genes Y‐Box binding protein 1 (YBX1) identified...
Abstract Nonalcoholic steatohepatitis (NASH) is a prevalent chronic disease, yet its exact mechanisms and effective treatments remain elusive. Nuclear receptor subfamily 5 group A member 2 (NR5A2), transcription factor closely associated with cholesterol metabolism in the liver, has been hindered from comprehensive investigation due to lethality of NR5A2 loss cell lines animal models. To elucidate role NASH, we generated hepatocyte-specific knockout mice for Nr5a2 (Nr5a2 HKO ) examined their...
Abstract Background: Colon cancer is increasing recently but the high cost and adverse side effects experienced always leads to treatment drop out. Zingiber officinale, commonly known as ginger, a popular herbal medicine this study was aimed identify active compounds from ginger investigate its anti-cancer mechanisms through network pharmacology construction. Results: Ginger were discerned TCMSP, which filtered by metrics of oral bioavailability drug likeness, related targets searched. After...
Non-orthogonal multiple access as a promising technology is expected to support massive connectivity in the next generation. In this paper, we propose novel perfect energy spread transform (P-EST) based scheme, which perfectly spreads symbol all over frequency-domain and time-domain increasing diversity gain of system. The parameters proposed scheme can be adjusted provide different levels overloading, thus suitable meet diverse traffic requirements. We then develope linear minimum mean...
Nowadays to save consumption energy with the expected production output is well-known as one of necessary methods lower cost in continuous manufacture industry. Systemic and fine management changing into a new mode less energy-saving space relying on traditional device optimization for can be reached. Energy-saving potential analysis acts precondition find possible current system factory or company. And it challenge factories analyze just based information running different devices line...
To solve the problem of lack assemble knowledge in ship virtual assembly system, a novel rough-set theory based discovery model is studied to find process hidden assembly. First typical structure used analyzed and improved into generalized definition using object-oriented technology. The technology solution develop for proposed on rough set theory. All key technologies such as Petri-RS information transformation model, RS attribute reduction management are respectively real engineering...
In continuous production industry, to develop energy-saving technology, an essential modeling method should be selected reflect both process and the energy consumption simultaneously. this work, we propose a novel coupling model for consumption. production-energy-coupled (PECM), four flows are included, material flow, information flow emission flow. The is abstracted from traditional technological documents about description; represents any kind of transformation all possible sources used in...
Abstract The Jiangmen underground neutrino observatory (JUNO) is a project with 20-kton liquid scintillator detector located 700-m underground. large 20-inch PMTs are one of the crucial components JUNO experiment aiming for precision measurements better than 3% energy resolution at 1 MeV. excellent and fiducial volume provide many exciting opportunities addressing important topics in astroparticle physics. With container #D Pan-Asia PMT testing potting station, features waterproof potted...
Real-time clothing recognition is a useful technique for describing individuals from the video stream captured by surveillance cameras. In most cases, cameras are shot high angle and long distance, so objects in images small blurred. Traditional object detection models designed to locate obvious clear then classify them into different categories. They not sensitive enough detect or even neglect blurry clothes camera images. To this end, we propose an effective real-time model- Multi-Scale...