A5021756862- Topic Modeling
- Mesenchymal stem cell research
- Complex Network Analysis Techniques
- Bone Tissue Engineering Materials
- Advanced Database Systems and Queries
- Data Management and Algorithms
- Advanced Text Analysis Techniques
- Electrospun Nanofibers in Biomedical Applications
- Semantic Web and Ontologies
- Medical Imaging and Analysis
- Biomedical Text Mining and Ontologies
- Natural Language Processing Techniques
- Computational Drug Discovery Methods
- Histone Deacetylase Inhibitors Research
- Hip and Femur Fractures
- scientometrics and bibliometrics research
- Artificial Intelligence in Healthcare and Education
- Hepatitis B Virus Studies
- Data Visualization and Analytics
- Advanced Graph Neural Networks
- Bone and Dental Protein Studies
- Nerve injury and regeneration
- Bioinformatics and Genomic Networks
- Time Series Analysis and Forecasting
- Angiogenesis and VEGF in Cancer
Second Hospital of Shanxi Medical University
2024-2025
Shanxi Medical University
2024-2025
Coventry University
2021-2024
Ezhou Central Hospital
2024
University of Science and Technology of China
2024
University of Sheffield
2024
Anhui Medical University
2024
Hebei University of Engineering
2023-2024
Affiliated Hospital of North Sichuan Medical College
2024
Yuhuangding Hospital
2011-2023
Patients commonly take complementary medicines in conjunction with warfarin yet evidence supporting the safety or risk of a herb-drug interaction is lacking. The aim this study was to investigate possible impact two used herbal medicines, garlic and cranberry, on pharmacokinetics pharmacodynamics healthy male subjects.
Chemotherapy paclitaxel yields significant reductions in tumor burden the majority of advanced non-small cell lung cancer (NSCLC) patients. However, acquired resistance limits its clinical use. Here we demonstrated that histone deacetylase (HDAC) was activated paclitaxel-resistant NSCLC cells, and activation promoted proliferation tumorigenesis cells vitro vivo. By contrast, knockdown HDAC1, a primary isoform HDAC, sensitized resistant to vitro. Furthermore, observed overexpression HDAC1...
Background Human leukocyte antigen DP (HLA-DP) locus has been reported to be associated with hepatitis B virus (HBV) infection in populations of Japan and Thailand. We aimed examine whether the association can replicated Han Chinese populations. Methodology/Principal Findings Two HLA-DP variants rs2395309 rs9277535 (the most strongly SNPs from each locus) were genotyped three independent cohorts consisting 2 805 cases 1 796 controls. By using logistic regression analysis, these two HLA-DPA1...
It is important to help researchers find valuable scientific papers from a large literature collection containing information of authors, and venues. Graph-based algorithms have been proposed rank based on networks formed by citation co-author relationships. This paper proposes new graph-based ranking framework MutualRank that integrates mutual reinforcement relationships among papers, venues achieve more synthetic, accurate fair result than previous methods. leverages the network structure...
The purpose of this study was to demonstrate omentin-1 levels in serum and synovial fluid (SF) patients with knee osteoarthritis (OA) investigate their correlation radiographic disease severity.One hundred ninety-seven OA 65 sex- age-matched healthy controls were enrolled study. severity assessed by the Kellgren- Lawrence (KL) grading system. SF determined enzyme-linked immunosorbent assay.There no significant differences between (P>0.05). There also among different KL grades However,...
Ranking is an important way of retrieving authoritative papers from a large scientific literature database. Current state-of-the-art exploits the flat structure heterogeneous academic network to achieve better ranking articles, however, ignores multinomial nature multidimensional relationships between different types entities. This paper proposes novel mutual algorithm based on hypernetwork, which serves as generalized model The proposed demonstrated effective through extensive evaluation...
Abstract Background Tissue-engineered bone grafts (TEBGs) that undergo vascularization and neurotization evolve into functioning tissue. Previously, we verified implanting sensory nerve tracts TEBGs promoted osteogenesis. However, the precise mechanisms interaction between seed cells were not explored. In this study, hypothesized may influence osteogenesis of through vascularization. Methods We cultured rat Schwann (SCs), aortic endothelial (AECs), marrow-derived mesenchymal stem (BM-MSCs)...
Abstract Compared to feature engineering, deep learning approaches for citation context analysis have yet fully leveraged the myriad of design options modeling in-text citation, sentence, and context. In fact, no single option universally excels on all function classes or annotation schemes, which implies untapped potential synergizing diverse further elevate performance analysis. Motivated by this insight, current paper undertook a systematic exploration ensemble methods To achieve better...
Background/Aims: Osteoarthritis (OA) is characterized by degradation of cartilage, sole cell type which chondrocytes. Bone marrow-derived mesenchymal stem cells (BMSCs) possess multipotency and can be directionally differentiated into chondrocytes under stimulation. This study was aimed to explore the possible roles vitamin D transforming growth factor-β1 (TGF-β1) in chondrogenic differentiation BMSCs. Methods: BMSCs were isolated from femurs tibias rats flow cytometry. After stimulation...
Abstract Main path analysis is a popular method for extracting the scientific backbone from citation network of research domain. Existing approaches ignored semantic relationships between citing and cited publications, resulting in several adverse issues, terms coherence main paths coverage significant studies. This paper advocated approach to alleviate these issues based on function analysis. A wide variety SciBERT‐based deep learning models were designed identifying functions. Semantic...
Abstract Objective This paper aims to address the challenges in abstract screening within systematic reviews (SR) by leveraging zero-shot capabilities of large language models (LLMs). Methods We employ LLM prioritize candidate studies aligning abstracts with selection criteria outlined an SR protocol. was transformed into a novel question-answering (QA) framework, treating each criterion as question addressed LLM. The framework involves breaking down multiple questions, properly prompting...
The large-field rapid nucleic acid concentration measurement system is capable of achieving one-time gene chip imaging with high resolution. However, it encounters challenges in the precise detection positive microchambers,...
The surface characteristics of scaffolds for bone tissue engineering must support cell adhesion, migration, proliferation, and osteogenic differentiation. In the study, poly(D,L-lactide acid) (PDLLA) were modified by combing ammonia (NH(3) ) plasma pretreatment with Gly-Arg-Gly-Asp-Ser (GRGDS)-peptides coupling technologies. x-ray photoelectron spectroscopy (XPS) survey spectra showed peak N1s at NH(3) pretreated PDLLA, which was further raised after GRGDS conjugation. Furthermore, C1s in...