A5102615596- Cancer-related molecular mechanisms research
- Circular RNAs in diseases
- Cancer Genomics and Diagnostics
- RNA modifications and cancer
- Image Retrieval and Classification Techniques
- Air Quality Monitoring and Forecasting
- Cardiovascular Function and Risk Factors
- Genetic factors in colorectal cancer
- Computational Drug Discovery Methods
- RNA regulation and disease
- Cancer Immunotherapy and Biomarkers
- Generative Adversarial Networks and Image Synthesis
- Fire Detection and Safety Systems
- Advanced Nanomaterials in Catalysis
- Video Surveillance and Tracking Methods
- Air Quality and Health Impacts
- Business and Economic Development
- Data Visualization and Analytics
- Cholangiocarcinoma and Gallbladder Cancer Studies
- AI and HR Technologies
- Peptidase Inhibition and Analysis
- Electrochemical sensors and biosensors
- Impact of AI and Big Data on Business and Society
- Advanced Neural Network Applications
- Advanced biosensing and bioanalysis techniques
Shanghai University of Engineering Science
2024
North China University of Science and Technology
2024
Kaohsiung Medical University
2024
Kaohsiung Medical University Chung-Ho Memorial Hospital
2024
Chinese Academy of Medical Sciences & Peking Union Medical College
2023-2024
Massachusetts Institute of Technology
2024
Shanxi Agricultural University
2024
University of Malaya
2023-2024
Dalian University
2024
China Tobacco
2023
Generative AI models provide foundational knowledge and sufficient reasoning to aid in individual aspects of a computational design modeling workflow (see Part 1 <https://doi.org/10.1162/99608f92.cc80fe30> ). In this work, we analyze the ability state-of-the-art LLMs (in particular GPT-4) reason about entire end-to-end workflow, from conceptualizing realization, for two target domains: static physical objects (here, furniture), dynamical cyberphysical systems quadcopters). Our investigation...
Small extrachromosomal circular DNAs (eccDNAs) have the potential to be cancer biomarkers. However, formation mechanisms and functions of small eccDNAs selected in carcinogenesis are not clear, whether eccDNA profile plasma patients represents that tissues remains elucidated.A novel sequencing workflow based on nanopore platform was used sequence naturally existing full-length collected from 25 (including prostate cancer, hepatocellular carcinoma colorectal cancer), an independent validation...
Rapid and sensitive detection of uric acid (UA) has broad application prospects in biosensing biomedical applications. Based on the surface-enhanced Raman scattering (SERS) system, Au/cerium oxide (CeO2) nanorods with excellent catalytic performance high SERS activity were developed for highly UA. Uniformly dispersed rod-like CeO2 was prepared by hydrothermal synthesis. Then, Au NPs decorated a simple situ growth strategy. The concentrations Ce3+ ions oxygen vacancies increased increasing...
Abstract Background Skeletal muscle development and fat deposition have important effects on meat quality. The study of regulating skeletal is great significance in improving the quality carcass meat. In present study, whole transcriptome sequencing (including RNA-Seq miRNA-Seq) was performed longissimus dorsi (LDM) Jinfen White pigs at 1, 90, 180 days age. Results results showed that a total 245 differentially expressed miRNAs were screened any two comparisons, which may be involved...
Muscle-invasive bladder carcinoma (MIBC) is a serious and more advanced stage of carcinoma. N6-Methyladenosine (m6A) dynamic reversible modifications that primarily affects RNA stability alternative splicing. The dysregulation m6A in MIBC can be potential target for clinical interventions, but there have been limited studies on their associations with post-transcriptional regulatory processes.
Tumor mutation burden (TMB) is a widely recognized biomarker for predicting the efficacy of immunotherapy. However, its use still remains highly controversial. In this study, we examine underlying causes controversy based on clinical needs. By tracing source TMB errors and analyzing design philosophy behind variant callers, identify conflict between incompleteness biostatistics rules variety samples as critical issue that renders an ambivalent biomarker. A series experiments were conducted...
In recent years, a large number of Chinese students have travelled overseas to study art, which has spawned new industry, albeit only about eight years old, Art Portfolio Training Institutions, and this focuses on these institutions. Through qualitative analyses, the researcher interviewed educators in art institutions collect data from different perspectives. The main purpose was reveal problems that exist portfolio There are still several issues within China’s guidance impact success rate...
Recent advances in diffusion models can generate high-quality and stunning images from text. However, multi-turn image generation, which is of high demand real-world scenarios, still faces challenges maintaining semantic consistency between texts, as well contextual the same subject across multiple interactive turns. To address this issue, we introduce TheaterGen, a training-free framework that integrates large language (LLMs) text-to-image (T2I) to provide capability generation. Within...
Arrhythmia is characterized by irregular heartbeats, and leads to numerous complications, such as stroke, myocardial fibrosis heart failure. However, the regeneration molecular mechanisms of arrhythmia remain elusive. In this study, we aimed identify validate classical novel biomarkers ISO-induced arrhythmias through bioinformatics animal experiments. Here, model was established using langendorff isolated perfusion, used electrophysiology. Fluorescence Resonance Energy Transfer (FRET)...
Abstract Transcatheter aortic valve replacement (TAVR) is a well‐established procedure using catheter‐introduced prosthesis for patients with severe stenosis (AS). This retrospective study investigated sex‐related differences in pre‐ and post‐TAVR clinical hemodynamic outcomes analyzed data of the first 100 cases at Kaohsiung Medical University Chung‐Ho Memorial Hospital (KMUH) between December 2013 2021. Baseline characteristics, procedural outcomes, mortality rates, echocardiographic...
Using a sample of Shanghai and Shenzhen A-share listed enterprises during 2011–2020, we measure the employee satisfaction according to whether they are included in "China's Best Employer Award 100" list, investigates impact on digital transformation enterprises. The study found that with high "Top list helped drive transformation. conclusion is still valid after considering endogeneity various robustness tests, supporting stakeholder theory hypothesis. mechanism action shows mainly promotes...
Abstract Background Skeletal muscle development and fat deposition have important effects on meat quality. The study of regulating skeletal is great significance in improving carcass quality In the present study, RNA sequencing was performed longissimus dorsi (LDM) Jinfen White pigs at 1, 90, 180 days age. Results results showed that a total 245 differentially expressed miRNAs were screened, which may be involved regulation myogenesis. Among them, compared with 1-day-old group, miR-22-5p...
Prostate cancer has the second highest incidence among male malignancies. Only a few studies exist on inhibitory effects of maslinic acid (MA) prostate cancer. Herein we found that MA inhibits cell proliferation by decreasing CDK2, CDK4, and CDK6 expression concurrently increasing p27, Rb, p-Rb expression. Further, was observed to induce autophagy p53, p-p53, ULK1, Beclin1, Atg7, Atg5 ratio LC3-II/I ERK1/2 mTOR. In addition, induced RM-1 ferroptosis regulating glutathione, glutamate,...
The aim of this thesis is to provide an in-depth study case studies Blue Information Design's projects in the field data visualisation, as well infographics design methodologies and tools employed when dealing with large amounts data. By analysing actual projects, researcher explores how information firms can improve communication through innovative visualisation best practices adopted large-scale data.Using studies, non-participant observation, interviews, focuses on experiences approaches...
Due to the susceptibility of deep learning-based object detection algorithms lighting and image quality in cigarette stem application scenarios, which leads false rate high hardware occupancy. To address this issue, a CS-YOLOv5 model with excellent performance is proposed. First, novel convolutional neural network (ConvNeXt) used as backbone improve ability extract abstract semantic features. Second, after using selective kernel networks (SKNets) different sizes three effective special...