A5100700382- Additive Manufacturing and 3D Printing Technologies
- Blind Source Separation Techniques
- Epilepsy research and treatment
- Additive Manufacturing Materials and Processes
- Ultrasonics and Acoustic Wave Propagation
- EEG and Brain-Computer Interfaces
- Mitochondrial Function and Pathology
- Advanced Computational Techniques and Applications
- Industrial Vision Systems and Defect Detection
- Advanced Sensor and Control Systems
- ATP Synthase and ATPases Research
- Mineral Processing and Grinding
- Fault Detection and Control Systems
- Photochromic and Fluorescence Chemistry
- RNA modifications and cancer
- Innovations in Concrete and Construction Materials
- Optical Systems and Laser Technology
- Titanium Alloys Microstructure and Properties
- Advanced Optical Sensing Technologies
- Cavitation Phenomena in Pumps
- Liquid Crystal Research Advancements
- Advanced Algorithms and Applications
- Embedded Systems and FPGA Design
- Machine Fault Diagnosis Techniques
- Power Transformer Diagnostics and Insulation
Shanghai Maritime University
2023-2025
Beijing Institute of Technology
2023
Beijing Institute of Optoelectronic Technology
2023
Harbin Institute of Technology
2023
The Affiliated Yongchuan Hospital of Chongqing Medical University
2023
Chongqing Medical University
2023
Zhejiang University
2006-2022
Shenyang University of Technology
2022
Central Committee of the Communist Party of China
2019
Kunming University of Science and Technology
2017
Bismuth telluride-based alloys are the most widely used commercial thermoelectric (TE) material for room temperature refrigeration. Here, we successfully shift up optimum figure of merit n-type bismuth-telluride-based TE materials mid-temperature power generation. SbI3 doping is to regulate carrier concentration and Indium alloying increase bandgap, suppressing detrimental bipolar conduction in range. The lattice thermal conductivity significantly reduced due multiscale microstructures...
Photopolymer 3D printing techniques have a common limitation: the layers to be deposited in sequential order, which constrains multi-material fabrication where vats exchanged many times, addition repeating cleaning step for each vat change. In this work, we present technique that allows stereolithography by overcoming layer-by-layer limitation, enabling one single immersion per resin. This is enabled selective crosslinking of voxels at any depth and position inside (SLA) resin vat. The...
The accurate prediction of incipient cavitation is great significance for ensuring the stable operation hydraulic turbines. Hydroacoustic signals contain essential information about turbine’s operating state. Considering that traditional entropy methods are easily affected by environmental noise when state pattern chaotic, leading to extracted features not being obvious, a Symbol Conditional Entropy (SCE) feature extraction method proposed classify original variables according different...
Partial Discharge (PD) pattern recognition plays an important part in electrical equipment fault diagnosis and maintenance. Feature extraction could greatly affect results. Traditional PD feature methods suffer from high-dimension calculation signal attenuation. In this study, a novel method based on Ensemble Empirical Mode Decomposition (EEMD) Sample Entropy (SamEn) is proposed. order to reduce the influence of noise, wavelet applied de-noising. Noise Rejection Ratio (NRR) Mean Square Error...
To investigate the molecular pathogenesis of Leber's hereditary optic neuropathy (LHON) in Chinese families.A cohort 1218 Han subjects with LHON and 316 control underwent clinical genetic evaluation analysis mitochondrial (mt)DNA.The age at onset these ranged from 5 to 55 years, average 18 years. Mutational ND6 gene identified 92 (73 known 19 novel) variants subjects. These included 29 (9 novel 20 known) missense mutations 63 silence variants. A total 94 carrying one T14484C, T14502C,...
Fused deposition modeling is a popular technique for three-dimensional prototyping since it cost-effective, convenient to operate, and environment-friendly. However, the low quality of its printed products jeopardizes future development. Distortion, also known as warping deformation, which caused by many factors such inappropriate process parameters drifts, one most common defects in fused process. Rapid detection part distortion during printing beneficial improving production efficiency...
Deficient maturations of mitochondrial transcripts are linked to clinical abnormalities but their pathophysiology remains elusive. Previous investigations showed that pathogenic variants in MTO1 for the biosynthesis τm5U tRNAGlu, tRNAGln, tRNALys, tRNATrp and tRNALeu(UUR) were associated with hypertrophic cardiomyopathy (HCM). Using mto1 knock-out(KO) zebrafish generated by CRISPR/Cas9 system, we demonstrated pleiotropic effects Mto1 deficiency on RNA maturations. The perturbed structure...
A simple, rapid, easily performed method was developed for non-destructive visualization of latent fingerprints using “silver imaging ink”.
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTStructural Rearrangements upon Photoreorientation of Amphiphilic Azobenzene Dyes Organized in Ultrathin Films on Solid SurfacesMinika Schoenhoff, Li Feng Chi, Harald Fuchs, and Mathias LoescheCite this: Langmuir 1995, 11, 1, 163–168Publication Date (Print):January 1995Publication History Published online1 May 2002Published inissue 1 January 1995https://pubs.acs.org/doi/10.1021/la00001a029https://doi.org/10.1021/la00001a029research-articleACS...
An epileptic seizure is the external manifestation of abnormal neuronal discharges, which seriously affecting physical health. The pathogenesis epilepsy complex, and types seizures are diverse, resulting in significant variation data between subjects. If we feed from multiple patients directly into model for training, it will lead to underfitting model. To overcome this problem, propose a robust detection that effectively learns while eliminating negative impact distribution shift patients....
Determining the onset of a transient signal, for example in seismograms, acoustic emission (AE) signals, or ultrasonic signals is very important non-destructive process monitoring and geophysics. In some cases, AE from malfunction relatively weak, with low signal-to-noise ratio. Thus, are often hidden, making it rather difficult to separate them background noise. The present work proposes new method evaluating times based on bin-to-bin histogram distances measured Bhattacharyya coefficient....
Flexible control of atomization pressure and bar material feeding speed was achieved during preparation TC11 alloy 3D-printing spherical powder on basis a vacuum-induced multistage process. Collision at the metal drop stage effectively avoided quality significantly enhanced while ensuring high fine-powder yield. Under optimized process conditions, with D90 59.2 μm, highest sphericity, O N element increment below 0.04%, 15–53 μm yield 30% obtained. These comprehensive mechanical properties...
The standard treatments for epilepsy are drug therapy and surgical resection. However, around 1/3 of patients with intractable drug-resistant, requiring resection the epileptic focus. To address issue drug-resistant focus localization, we have proposed a transfer learning method on multi-modal EEG (iEEG sEEG). A 10-fold cross-validation approach was applied to validate performance pre-trained model Bern-Barcelona Bonn datasets, achieving accuracy rates 94.50 97.50%, respectively....
Purpose This paper aims to focus on investigating the failure mode of fused deposition modeling (FDM) fabricated parts by using acoustic emission (AE) technique. Design/methodology/approach Considering special prototyping way FDM, modes FDM-fabricated were investigated experimentally. One test was carried out and other two describe what has been observed this basis. Acoustic emissions are obtained during tensile process. AE features peak frequency, energy amplitude extracted preliminarily...
Abstract Fused filament fabrication (FFF) is one of the most popular techniques additive manufacturing. However, product quality issues still limit further application FFF technology. Filament extrusion state has a great influence on fabricated products, since both under-extrusion and over-extrusion can lead to deterioration quality. Therefore, monitoring states vital essential. This paper aims monitor by acoustic emission (AE). To achieve this goal, experiments are conducted desktop...
Epilepsy is a disease caused by abnormal neural discharge, which severely harms the health of patients. Its pathogenesis complex and variable with various forms seizures, leading to significant differences in epilepsy manifestations among different The changes brain network are strongly correlated related pathologies. Therefore, it crucial effectively deeply explore intrinsic features signals reveal rules occurrence achieve accurate detection. Existing methods have faced following issues: 1)...