A5101118507- Advanced Malware Detection Techniques
- Network Security and Intrusion Detection
- Technology and Security Systems
- Medical Imaging Techniques and Applications
- Thermodynamic and Exergetic Analyses of Power and Cooling Systems
- E-commerce and Technology Innovations
- Autonomous Vehicle Technology and Safety
- Urban Planning and Valuation
- Reinforcement Learning in Robotics
- Radiopharmaceutical Chemistry and Applications
- Legal and Policy Issues
- Advanced Radiotherapy Techniques
- Digital and Cyber Forensics
- Advanced Computational Techniques and Applications
- Stochastic Gradient Optimization Techniques
- Robot Manipulation and Learning
- Foreign Language Teaching Methods
- Higher Education and Teaching Methods
- Mobile Agent-Based Network Management
- Advanced Data and IoT Technologies
- Media Influence and Politics
- Hybrid Renewable Energy Systems
- Global Political and Economic Relations
- Ocean Waves and Remote Sensing
- Anatomy and Medical Technology
Harbin Medical University
2024
Second Affiliated Hospital of Harbin Medical University
2024
South China Normal University
2024
Royal Society of Chemistry
2024
Centre National pour la Recherche Scientifique et Technique (CNRST)
2024
Beijing Technology and Business University
2024
Tsinghua University
2023
Harbin Institute of Technology
2023
Hohai University
2023
American Dental Education Association
2023
Abstract Neutrophil extracellular traps (NETs) have garnered attention for their dual role in host defense and tumor promotion. With involvement documented across a spectrum of tumors, influence on the progression cholangiocarcinoma (CCA) is paramount interest. We employed immunohistochemistry immunofluorescence to detect NET deposition CCA tissues. Through vitro vivo investigation, including organoid transposon-based models PAD4 KO mice, we explored effects NETs cell proliferation...
In the field of portrait video generation, use single images to generate videos has become increasingly prevalent. A common approach involves leveraging generative models enhance adapters for controlled generation. However, control signals (e.g., text, audio, reference image, pose, depth map, etc.) can vary in strength. Among these, weaker conditions often struggle be effective due interference from stronger conditions, posing a challenge balancing these conditions. our work on we identified...
Abstract By combining renewable energy resources, we can expect higher efficiency from systems, which in turn facilitate their commercialization. In addition, fuel cells are among the clean devices that provide superior performance with zero environmental pollution. Fuel improve stability of conversion system by storing energy. This paper introduces and analyzes a polygeneration driven biomass geothermal source. The consists high-temperature cell coupled gasification cycle. triple-flash...
Logistics is an important application area of the Internet Things. The paper first introduces possibility combination Things and logistics. Then existing architecture has been analyzed. Based on architecture, puts forward advice used in logistics briefly describes key technologies On basis technologies, article gives embodiment current business framework process management decision making based have discussed. can realize automation, operation efficiency, reducing storage cost improving...
We consider the problem of multi-objective alignment foundation models with human preferences, which is a critical step towards helpful and harmless AI systems. However, it generally costly unstable to fine-tune large using reinforcement learning (RL), multi-dimensionality, heterogeneity, conflicting nature preferences further complicate process. In this paper, we introduce Rewards-in-Context (RiC), conditions response model on multiple rewards in its prompt context applies supervised...
Abstract Objective . Cone beam CT (CBCT) typically has severe image artifacts and inaccurate HU values, which limits its application in radiation medicines. Scholars have proposed the use of cycle consistent generative adversarial network (Cycle-GAN) to address these issues. However, generation quality Cycle-GAN needs be improved. This issue is exacerbated by inherent size discrepancies between pelvic scans from different patients, as well varying slice positions within same patient,...
Leaks of user privacy in the mobile cloud environment have been common recent years. Common APP stores require apps to a policy that complies with applicable laws. Due problem lengthy papers or difficult-to-understand sentences policies, users frequently skip reading them fail comprehend them. Moreover, there may be conflicts between and actual behaviors. In order alleviate these problems above, we design security analysis system employs natural language processing detect an APP's its...
Multi-goal reinforcement learning has emerged as a powerful approach for planning and robot manipulation tasks, but it faces challenges such sparse rewards sample inefficiency. Hindsight Experience Replay (HER) been proposed solution to these by relabeling goals, still requires large number of samples significant computation. To address issues, we propose Multi-step (MHER), which incorporates multi-step improve efficiency. Despite the advantages $n -$step relabeling, theoretically...
Focusing on TD-LTE network, this paper deeply researches and analyzes the detection of atmospheric duct interference based network configuration image recognition according to UlInterf data extracting from wireless operation maintenance data. On basis this, proposes method detect related quasi real-time optimization strategy, targeting at user perception improvement.
Knowledge management and e-learning are the main ways of organization studying, they will definitely be integrated in future. This paper provides an integration mode based on their similarities as well individual uniqueness. aims at improving performance by sharing sources meanwhile keep features.
Large Language Models (LLMs), representing a significant achievement in artificial intelligence (AI) research, have demonstrated their ability multitude of tasks. This project aims to explore the capabilities GPT-3.5, leading example LLMs, processing sentiment analysis Internet memes. Memes, which include both verbal and visual aspects, act as powerful yet complex tool for expressing ideas sentiments, demanding an understanding societal norms cultural contexts. Notably, detection moderation...
Deep neural networks have demonstrated remarkable performance in various tasks. With a growing need for sparse deep learning, model compression techniques, especially pruning, gained significant attention. However, conventional pruning techniques can inadvertently exacerbate algorithmic bias, resulting unequal predictions. To address this, we define fair task where is derived subject to fairness requirements. In particular, propose framework jointly optimize the mask and weight update...
Molecular imaging is commonly used to improve the diagnosis and treatment of cancer. Nuclear medicine offers cutting-edge procedures instruments, computers radiopharmaceuticals for various diseases, including oncology indications. The detailed images provided by positron emission tomography (PET) can accurately image biochemical or physiologic/pathologic phenomena.
Journal of Dental Education is published in 15 issues per year.FTE-based pricing, based on the overall demand and size type subscribing institution (academic, government, hospital or corporate), applies for this Journal.