A5109596497- Thin-Film Transistor Technologies
- Aquaculture disease management and microbiota
- Advanced MRI Techniques and Applications
- Silicon Nanostructures and Photoluminescence
- Silicon and Solar Cell Technologies
- Sports injuries and prevention
- Aquaculture Nutrition and Growth
- Organic Electronics and Photovoltaics
- Natural Language Processing Techniques
- Multi-Agent Systems and Negotiation
- Advanced Neural Network Applications
- Conducting polymers and applications
- Aquatic life and conservation
- Immune cells in cancer
- Business Process Modeling and Analysis
- Artificial Intelligence in Law
- Semantic Web and Ontologies
- Liver Disease Diagnosis and Treatment
- Remote-Sensing Image Classification
- Radio Astronomy Observations and Technology
- Multimodal Machine Learning Applications
- Recommender Systems and Techniques
- Epigenetics and DNA Methylation
- Healthcare Technology and Patient Monitoring
- Power Transformer Diagnostics and Insulation
Nanjing Medical University
2023-2024
Shenzhen University
2024
Zhongkai University of Agriculture and Engineering
2024
Anhui Transport Consulting & Design Institute (China)
2024
Kangda College of Nanjing Medical University
2024
Shandong University of Science and Technology
2024
Tang Du Hospital
2024
Air Force Medical University
2024
North China Electric Power University
2022-2023
Shanxi Medical University
2023
Background Single-cell RNA sequencing, also known as scRNA-seq, is a method profiling cell populations on an individual basis. It particularly useful for more deeply understanding behavior in complicated tumor microenvironment. Although several previous studies have examined scRNA-seq hepatocellular carcinoma (HCC) tissues, no one has tested and analyzed HCC with different stages. Methods In this investigation, immune cells isolated from surrounding normal tissues cancer 3 II-stage 4...
This study presents the development of a deep learning-based two-stage network designed for efficient and precise segmentation femur in full lower limb CT images. The proposed incorporates dual-phase approach: rapid delineation regions interest followed by semantic femur. experimental dataset comprises 100 samples obtained from hospital, partitioned into 85 training, 8 validation, 7 testing. In first stage, model achieves an average Intersection over Union 0.9671 mean Average Precision...
Neutron star contains a large number of nucleons and muons, if coupled with hidden ultralight particles, the orbit motion can produce sizable energy flux in addition to gravitational quadrupole radiation. Here, we explore scenario which scalar boson sourced by binary is also lowest dimensional photon operator, through indirect electromagnetic radiation generated for orbital frequency below scalar's mass threshold. Using observational data two pulsar binaries, place simultaneous constraints...
Large pre-trained vision models achieve impressive success in computer vision. However, fully fine-tuning large for downstream tasks, particularly video understanding, can be prohibitively computationally expensive. Recent studies turn their focus towards efficient image-to-video transfer learning. Nevertheless, existing methods lack attention to training memory usage and exploration of transferring a larger model the domain. In this paper, we present novel Spatial-Temporal Side Network...
A new fault diagnosis method based on variational mode decomposition (VMD) is proposed in order to realize the identification of high voltage switches. Firstly, after preprocessing vibration signal, feature extraction VMD energy entropy analyzed. Subsequently, SVM utilized calculate type by utilizing extracted features. Parameter optimization solved grid search algorithm improve performance SVM. Verification scientific nature this for provided field data, which was obtained through an...
The selection of the highway corridor is very significant in early stage construction, and its rationality determines economy, environmental protection, safety whole life cycle construction project. Existing methods are mainly based on subjective experience designers lack intelligent technology with strong operability. Therefore, a method for new highways Nondominated Neighbor Immune Algorithm (NNIA) Affinity Propagation (AP) clustering algorithm was proposed. Firstly, mathematical model...
<title>Abstract</title> Objectives The purpose of this study was to develop a deep learning-based two-stage network based on learning tenets designed for swift delineation regions interest (ROIs) and semantic segmentation the femur with accuracy precision. Methods proposed in paper performs full lower limb CT images. experimental dataset utilized herein is sourced from Hospital, encompassing total 100 datasets—partitioned into 85 datasets training, 8 validation, 7 testing. Results In first...
This paper undertakes an empirical study to revisit the latest advancements in Multimodal Large Language Models (MLLMs): Video Assistant. study, namely FreeVA, aims extend existing image-based MLLM video domain a training-free manner. The provides essential, yet must-know baseline, and reveals several surprising findings: 1) leveraging only offline without additional training, excels zero-shot question-answering (e.g., MSVD-QA, ActivityNet-QA, MSRVTT-QA), even surpassing state-of-the-art...
Large language model agents have exhibited exceptional performance across a range of complex interactive tasks. Recent approaches utilized tuning with expert trajectories to enhance agent performance, yet they primarily concentrate on outcome rewards, which may lead errors or suboptimal actions due the absence process supervision signals. In this paper, we introduce Iterative step-level Process Refinement (IPR) framework, provides detailed step-by-step guidance training. Specifically, adopt...
To assess the detection of changes in knee cartilage amateur marathon runners before and after long-distance running. We recruited 23 prospectively. MRI scans using UTE-MT UTE-T2* sequences. UTE-MTR were measured for cartilage. The values lateral tibial plateau, central medial femoral condyle, plateau showed a significant decrease at 2 days post-race compared to other two time points (P < 0.05). But no found any subregions. is promising method dynamic
In this study, a 3D UTE-MT preparation will be used to detecting changes in the meniscus of amateur marathon runners before and after marathon. prospective cohort 23 were enrolled. There three MRI scans (pre-race, 2 days post-race, 4 weeks post-race) using UTE-T2* sequences. UTE-MTR values decreased post-race increased rest. Conversely, is promising biomarker for detection
We propose a novel method, called the dimension-changing transformation (DCT), to compute one-loop Feynman integrals and recently introduced fixed-branch arbitrary orders in $\epsilon$. The DCT relates or one spacetime dimension their corresponding quantities with auxiliary mass any other dimension, making expansion high $\epsilon$ highly efficient. applied this method several examples demonstrate its validity efficiency. approach work has been implemented an open-source C++ package,...
Background: Cardiovascular disease (CVD) may have some association with osteoporosis (OP). This Mendelian randomization (MR) investigation aimed to explore the potential causal linkage between CVD and OP. Methods: Utilizing genome wide study data from individuals of European descent, we pinpointed Single Nucleotide Polymorphisms (SNPs) relevant CVD, including those for coronary heart (CHD) 64,762 cases 22,233 controls, failure (HF) comprising 47,309 against 930,014 stroke a case-control...
The most common causes of scrotal enlargement in patients include primary tumor the scrotum, inflammation, hydrocele tunica vaginalis, and indirect inguinal hernia; caused by external tumors scrotum is rare. patient had both a greater omentum an hernia, protruded into through hernia sac, which even rarer. Moreover, omental are mostly metastatic, fibroma
Compared to business-to-consumer (B2C) e-commerce systems, consumer-to-consumer (C2C) platforms usually encounter the limited-stock problem, that is, a product can only be sold one time in C2C system. This poses several unique challenges for click-through rate (CTR) prediction. Due limited user interactions each (i.e. item), corresponding item embedding CTR model may not easily converge. makes conventional sequence modeling based approaches cannot effectively utilize history information...