A5100711802- Regional Economics and Spatial Analysis
- Fiscal Policy and Economic Growth
- Global trade and economics
- Advanced Text Analysis Techniques
- Topic Modeling
- Natural Language Processing Techniques
- Economic Growth and Productivity
- Spatial and Panel Data Analysis
- Text and Document Classification Technologies
- Concrete and Cement Materials Research
- CCD and CMOS Imaging Sensors
- Housing Market and Economics
- Advanced Sensor and Energy Harvesting Materials
- Merger and Competition Analysis
- Microwave Engineering and Waveguides
- Optical Network Technologies
- Innovative concrete reinforcement materials
- Antenna Design and Optimization
- COVID-19 diagnosis using AI
- Advanced Image and Video Retrieval Techniques
- Image Processing Techniques and Applications
- Local Government Finance and Decentralization
- Cancer-related molecular mechanisms research
- Robotics and Sensor-Based Localization
- Advanced Materials and Mechanics
Qingdao University
2025
Southeast University
2023-2024
State Key Laboratory of Millimeter Waves
2023-2024
South China Normal University
2024
University of California, Los Angeles
1999-2024
Jiangsu University
2024
Shanghai Institute of Technology
2024
Hiroshima University
2023-2024
Shenzhen Academy of Robotics
2024
Hebei University
2024
Abstract Bone repair in real time is a challenging medical issue for elderly patients; this mainly because aged bone marrow mesenchymal stem cells (BMSCs) possess limited osteogenesis potential and capacity. In study, triboelectric stimulation technology used to achieve via mechanosensation of Piezo1 by fabricating wearable pulsed nanogenerator (WP‐TENG) driven human body movement. A peak value 30 µA has the optimal effects rejuvenate BMSCs, enhance their osteogenic differentiation, promote...
ABSTRACT In eukaryotes, RNA N 6 ‐methyladenosine (m A) modification and microRNA (miRNA)‐mediated silencing represent two critical epigenetic regulatory mechanisms. The m A methyltransferase complex (MTC) the microprocessor both undergo liquid–liquid phase separation to form nuclear membraneless organelles. Although has been shown positively regulate miRNA biogenesis, a mechanism of reciprocal regulation between MTC remained elusive. Here, we demonstrate that associate with each other...
Abstract With the increased operating time and usage frequency of hydroelectric equipment, monitoring predicting its health state has become increasingly important. Traditional assessment methods often rely on single measurement point data, which problems such as insufficient model precision poor real-time performance. These are difficult to reflect overall equipment fully cannot accurately capture complex dynamic characteristics lacking capabilities. This article proposed a comprehensive...
Semantic similarity between words is a generic problem for many applications of computational linguistics and artificial intelligence. The difficulty this task lies in how to find an effective way simulate the process human judgment word by combining processing number information sources. This paper presents novel model measure semantic WordNet, using edge-counting techniques. fundamental idea based on assumption that can be simulated ratio common features total words. According experiment...
Objectives To develop a novel automatic delineation model, the Multi-Scale Channel Attention U-Net (MCAU-Net) for gallbladder segmentation on CT images of patients with liver cancer. Methods We retrospectively collected from 120 cancer, based which ground truth was manually delineated by physicians. The and constitute dataset, proportionally divided into training set (54%), validation (6%), test (40%). Data augmentation performed set. Our proposed MCAU-Net model employed its performance...
Hemerocallis L. possesses abundant germplasm resources and holds significant value in terms of ornamental, edible, medicinal aspects. However, the quality characteristics vary significantly depending on different varieties. Selection a high-quality variety with characteristic aroma can increase economic flowers. The analytic hierarchy process (AHP) is an effective decision-making method for comparing evaluating multiple dimensions. By applying AHP, aromatic character 60 varieties flowers...
The paper proposes to determine sentence similarities from different aspects. Based on the information people get a sentence, Objects-Specified Similarity, Objects-Property Objects-Behavior Similarity and Overall are defined four Experiments show that proposed method makes similarity comparison more exactly give out reasonable result, which is similar people's comprehension meanings of sentences.
Cortical sulci are convoluted regions between cortical folds deeply embedded in the surface of brain. Because their significant characteristics, functional separation distinct brain regions, and natural topological partition anatomy, serve as a basis for structural analysis Current sulcal modeling techniques depend on manual interpretation. We propose robust voxel-coding method to automatically extract parameterize surfaces from volume data sets.
This paper investigates the problem of similarity measure between very short text sentence length, which can be used in a variety applications that involve knowledge representation and discovery. A novel method to calculate is proposed, takes into account semantic information, word order contribution different parts speech sentence. The experiment result on set selected pairs shows our greatly outperforms other previously reported methods.
Abstract Background Precision oncology pharmacotherapy relies on precise patient-specific alterations that impact drug responses. Due to rapid advances in clinical tumor sequencing, an urgent need exists for a support tool automatically interprets sequencing results based structured knowledge base of alteration events associated with implications. Results Here, we introduced the Oncology Pharmacotherapy Decision Support System (OncoPDSS), web server systematically annotates effects The...
We propose a simple and application-friendly network (called SimpleNet) for detecting localizing anomalies. SimpleNet consists of four components: (1) pre-trained Feature Extractor that generates local features, (2) shallow Adapter transfers features towards target domain, (3) Anomaly Generator counterfeits anomaly by adding Gaussian noise to normal (4) binary Discriminator distinguishes from features. During inference, the would be discarded. Our approach is based on three intuitions....
A novel unsupervised genetic word sense disambiguation (GWSD) algorithm is proposed in this paper. The first uses WordNet to determine all possible senses for a set of words, then used maximize the overall semantic similarity on words. conceptual function combining domain information also compute between WordNet. GWSD tested two sets terms and obtains good results. weighted (WGWSD) disambiguate words general corpus. Experiments SemCor are carried out compare WGWSD with previous work.
Sentence similarity measures have taken an increasingly important role in a variety of applications text knowledge presentation and discovery. Current methods utilize only semantic or syntactic information. We propose novel method to calculate sentence similarity, which takes into account both information word order. The experimental results show that our outperforms existing methods.
Gaussian SLAM systems have made significant advancements in improving the efficiency and fidelity of real-time reconstructions. However, these often encounter incomplete reconstructions complex indoor environments, characterized by substantial holes due to unobserved geometry caused obstacles or limited view angles. To address this challenge, we present Manhattan (MG-SLAM), an RGB-D system that leverages World hypothesis enhance geometric accuracy completeness. By seamlessly integrating...
Abstract Real-time low-light video enhancement on smartphones remains an open challenge due to hardware constraints such as limited sensor size and processing power. While night mode cameras have been introduced in acquire high-quality images light-constrained environments, their usability is restricted static scenes the camera must remain stationary for extended period leverage long exposure times or burst imaging techniques. Concurrently, significant process has made coming out from...