A5102876953- Advancements in Photolithography Techniques
- Robotics and Sensor-Based Localization
- 3D Surveying and Cultural Heritage
- Computational Geometry and Mesh Generation
- Advanced Surface Polishing Techniques
- Advanced Vision and Imaging
- Synthesis and Biological Evaluation
- Ginseng Biological Effects and Applications
- Vibration and Dynamic Analysis
- Semiconductor materials and devices
- Natural product bioactivities and synthesis
- Topology Optimization in Engineering
- Advanced Image and Video Retrieval Techniques
- Fluid Dynamics Simulations and Interactions
- Vehicular Ad Hoc Networks (VANETs)
- Infrastructure Maintenance and Monitoring
- Catalysts for Methane Reforming
- AI in Service Interactions
- Laser and Thermal Forming Techniques
- Cyclopropane Reaction Mechanisms
- Catalysis for Biomass Conversion
- Topic Modeling
- Artificial Intelligence in Law
- Advanced Numerical Analysis Techniques
- Cell Image Analysis Techniques
Harbin University of Commerce
2025
Tongji University
2014-2024
Georgetown University
2024
Lanzhou Jiaotong University
2022-2023
Semiconductor Manufacturing International (Italy)
2022
Semiconductor Manufacturing International (China)
2022
Dalian University
2006-2013
National Institutes of Natural Sciences
2009
Okazaki Institute for Integrative Bioscience
2009
Xinxiang Medical University
2009
E-commerce chatbots play a crucial role in customer service but often struggle with understanding complex queries. This study introduces breakthrough approach leveraging the Falcon-7B model, state-of-the-art Large Language Model (LLM) 7 billion parameters. Trained on vast dataset of 1,500 tokens from RefinedWeb and curated corpora, model excels natural language generation. Notably, its 16-bit full quantization transformer ensures efficient computation without compromising scalability or...
The escalating volume and intricacy of legal documents necessitate advanced techniques for automated text classification in the domain. Our proposed approach leverages Convolutional Neural Networks (Conv1D), a neural network architecture adept at capturing hierarchical features sequential data. incorporation max-pooling facilitates extraction salient features, while softmax activation enables model to handle multi-class nature citation categorization. By addressing limitations identified...
Urban road traffic congestion has become a serious issue for cold chain logistics in terms of delivery time, distribution cost, product freshness, and even organization revenue reputation. This study focuses on the path by considering with transportation, real-time vehicle speeds, multiple-vehicle conditions. Therefore, routing optimization model been established objectives minimizing costs, reducing carbon emissions, maintaining cargo multi-objective hybrid genetic algorithm developed...
Anaerobic digestion (AD) is an effective bioconversion technology widely used to treat agricultural waste and reduce environmental pollution. Although AD has been commonly applied practical social needs, low yield reactor instability limit its performance. In this study, potato, rape, wheat straw were pyrolyzed biochar at 600 °C added a batch system improve biogas yield. Biochemical methane potential test was assess the production. The results showed that three had similar efficiency...
Lithium-ion (Li-ion) batteries are pivotal in energy storage, powering diverse applications from portable electronics to electric vehicles. Optimizing Li-ion battery performance relies on understanding the crystal system properties of constituent materials, notably cathodes. This paper proposes a novel approach using Deep Neural Networks (DNNs) for multi-class classification silicate cathode systems. Previous research underscores chemistry's importance and potential machine learning...
AIM:To investigate whether nicotinamide overload plays a role in type 2 diabetes. METHODS:Nicotinamide metabolic patterns of 14 diabetic and non-diabetic subjects were compared using HPLC.Cumulative effects N 1 -methylnicotinamide on glucose metabolism, plasma H2O2 levels tissue adenine dinucleotide (NAD) contents adult Sprague-Dawley rats observed.The human sweat glands rat skin metabolism was investigated sauna burn injury, respectively.
Single-layer reticulated shells (SLRSs) are highly sensitive to initial geometric imperfections (IGIs) with respect their nonlinear buckling behavior. However, the traditional random imperfection modal method assumes joint deviations be independent, which leads member length always exceeding manufacturing error limit given by design codes, i.e., IGIs unrealistic, and load must inaccurate. This paper proposes a simple efficient generate stochastic for SLRSs considering topology constraints....
Monoesters of ginsenoside metabolite M1 at the 3-OH, 4-OH and 6-OH positions glucose moiety were synthesized via reaction with acyl chloride, or acid-N,N'-diisopropylcarbodiimide in presence DMAP. Their structures fully characterized by spectral methods. The cytotoxicity these compounds against then MGC80-3 human gastric cancer cell line was also assessed. High inhibitory effects found a concentration 100 μg/mL.
In the realm of neuron cell segmentation from microscopic images, computer vision technologies have shown potential in accelerating drug discovery processes for neurological disorders. This paper presents an innovative approach that combines YOLOX object detection, Mask R-CNN instance segmentation, and UPerNet semantic to precisely delineate individual cells. Our methodology emphasizes advanced data preprocessing techniques model ensembling improve detection neuronal types. Extensive...
This paper explores the application of large language models (LLMs) to efficiently and accurately extract relevant information from National Environmental Policy Act (NEPA) documents, specifically focusing on environmental impact statements (EIS). NEPA mandates federal agencies evaluate effects their proposed actions, EIS documents are essential for this process. However, these often lengthy complex, making manual extraction time-consuming error-prone. We address challenge by leveraging...
Abstract. Presently, we developed a novel robust motion estimation method for localization and mapping in underground infrastructure using pre-calibrated rigid stereo camera rig. Localization is important to safety. Yet it’s also nontrivial since most infrastructures have poor lighting condition featureless structure. Overcoming these difficulties, discovered that parallel system more efficient than the EKF-based SLAM approach divides 3D tasks into separate threads, eliminating...
Presently, we developed a novel robust motion estimation method for localization and mapping in underground infrastructure using pre-calibrated rigid stereo camera rig. Localization is important to safety. Yet it’s also nontrivial since most infrastructures have poor lighting condition featureless structure. Overcoming these difficulties, discovered that parallel system more efficient than the EKF-based SLAM approach divides 3D tasks into separate threads, eliminating data-association...
Abstract When the reaction is carried out in an intermolecular manner merely poor yields are obtained.
With the expansion of underground infrastructure in urban areas, positioning such scenario becomes a crucial problem for ubiquitous applications. The visual odometry algorithm can provide an accurate position reference ground However, it encounters robust estimation problems because automatic feature matching from structures is difficult and errors are quite frequent. In this article, we present novel structure-aware sample consensus to solve stereo odometry. Features rigid structure static...
ABSTRACT Advanced Process Control (APC) has been widely applied in state-of-the-art semiconductor industries for the everlasting pursuit of cycle time reduction, higher yield and zero scrap. Inline metrology is thus valuable input feeds improvement wafer-to-wafer within-wafer CD variations originated from either abnormality or noise different processes. Implementing a suitable APC scheme to process flow remains challenging task engineers. In most cases, it enough implement only one single...
In this work a method of PMOS Silicon Recess (PSR) trench profile optimization using silicon oxidation is proposed. TCAD simulations shows that rectangular better than two types U -shaped on device performance, such as S/D channel stress 6.2% and 9.2% gaining respectively Vt 3.6% 7.1 % respectively. Based different rates crystalline faces between 700°C to 1000 ° C, recess (SOR) flow designed in order get more profile. Transmission electron microscope (TEM) images the SOR effective for...