A5100656308- Circular RNAs in diseases
- MicroRNA in disease regulation
- Cholesterol and Lipid Metabolism
- Cancer-related molecular mechanisms research
- Electrochemical sensors and biosensors
- Forecasting Techniques and Applications
- CRISPR and Genetic Engineering
- scientometrics and bibliometrics research
- Expert finding and Q&A systems
- Bayesian Methods and Mixture Models
- Insurance, Mortality, Demography, Risk Management
- Statistical Distribution Estimation and Applications
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Advanced Manufacturing and Logistics Optimization
- Working Capital and Financial Performance
- Environmental Sustainability in Business
- Genetics and Neurodevelopmental Disorders
- Radioactivity and Radon Measurements
- Global trade, sustainability, and social impact
- Mathematical Analysis and Transform Methods
- Liver Disease and Transplantation
- Mathematical functions and polynomials
- Magnetic and Electromagnetic Effects
- Risk Management in Financial Firms
Union Hospital
2024-2025
Huazhong University of Science and Technology
2024-2025
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
2024-2025
University of North Carolina at Chapel Hill
2020-2024
Hunan University
2024
China Medical University
2024
Cornell University
2024
Union Hospital
2024
North China University of Science and Technology
2024
Hunan Normal University
2024
Genomic selection (GS) as a promising molecular breeding strategy has been widely implemented and evaluated for plant breeding, because it remarkable superiority in enhancing genetic gain, reducing time expenditure, accelerating the process. In this study factors affecting prediction accuracy (rMG) GS were systematically, using six agronomic traits (plant height, ear length, diameter, grain yield per hundred-kernel weight) one natural two biparental populations. The examined included marker...
Circular RNAs (circRNAs) are highly stable RNA molecules that attractive templates for expression of therapeutic proteins and non-coding RNAs. In eukaryotes, circRNAs primarily generated by the spliceosome through backsplicing. Here, we interrogate different molecular elements including intron type length, Alu repeats, internal ribosome entry sites (IRESs), exon length essential circRNA formation exploit this information to engineer robust backsplicing expression. Specifically, leverage...
Recent findings have shown that dysregulation of circular RNAs (circRNAs) is implicated in various cancers. However, the contribution circRNAs oral squamous cell carcinoma (OSCC) remains largely unexplored. We screened circRNA expression profiles using a microarray paired OSCC and normal tissues explored clinical significance downregulated circRNA, circ-PKD2. Moreover, biological function circ-PKD2 was investigated both vitro vivo. found downregulation correlated significantly with aggressive...
Genome editing is poised to revolutionize treatment of genetic diseases, but poor understanding and control DNA repair outcomes hinders its therapeutic potential. especially understudied in nondividing cells like neurons, which must withstand decades damage without replicating. This lack knowledge limits the efficiency precision genome clinically relevant cells. To address this, we used induced pluripotent stem (iPSCs) iPSC-derived neurons examine how postmitotic human Cas9-induced damage....
This article investigates some structural properties of the Markov-switching GARCH process introduced by Haas, Mittnik, and Paolella. First, a sufficient necessary condition for existence weakly stationary solution is presented. The stationary, causal expansion also established. Second, general conditions any integer-order moment square are derived. technique used in this weak stationarity high-order moments different from that Paolella avoids assumption started infinite past with finite...
Increasing evidence points toward the key function of circular RNAs (circRNAs) in various carcinomas. This study aimed to identify aberrant expression hsa_circ_0072387 oral squamous cell carcinoma and probe its clinical significance.Real-time quantitative reverse transcription-polymerase chain reaction (qRT-PCR) was used assess levels 63 paired OSCC tissues three lines. The area under receiver operator characteristic (ROC) curve plotted any potential significance.Our data showed that...
Purpose The flow of the Sino-Brazilian frozen beef trade has intensified. Thus, purpose this paper is to characterize supply chain structure, and identify its major fragilities. Design/methodology/approach Supply mapping was conducted based on existing literature primary data collection. Key stakeholders were detected questioned through semi-structured interviews, which later interpreted with content analysis. Findings results reveal a low degree coordination from Brazilian farm Chinese...
Improving college students’ satisfaction with the teaching quality of ideological and political theory courses in colleges universities is need to promote students consciously fulfill their quality, it also further form a strong driving force for reform universities. The requirements level are enhance competitiveness education (IPEQ) evaluation looked as multiple attribute group decision-making (MAGDM) problem. In this paper, 2-tuple linguistic neutrosophic TOPSIS (2TLN-TOPSIS) model built...
Purpose This study aimed to examine how Medical Expenditure Panel Survey (MEPS) data have been used support scientific discoveries in biomedical and health sciences, provide insight researchers who are interested using MEPS regarding collaborations dissemination of research output. Design/methodology/approach A bibliometric approach was systematically the publications that were indexed by PubMed Web Science (WoS). Microsoft Excel tools (WoS VOSviewer) utilized for quantitative network...
Background Long-term excessive use of morphine leads to addictive diseases and affects cognitive function. Cognitive performance is associated with genetic characteristics.MiR-124 plays a critical regulatory role in neurogenesis, synaptic development, brain plasticity, the substances. As scaffold protein, IQGAP1 learning memory dose-dependent. However, miR-124 its target protein as potential addiction biomarkers impact on function have not been fully explored. Method A total 40 patients...
Precedent studies have only qualitatively assessed the comfort of defecation, which restricted design and development new toilet appliances. Aiming at two difficulties quantification defecation level low adaptability existing toilets, this paper proposes a regression model for quantitative relationship between joint height. And based on data, an adjustable lift pedal is designed. To obtain height optimal foot height, we simulated posture Jack software. A analysis was performed obtained...
Objective: This study aimed to investigate the prognostic effect of sarcopenia on primary hepatocellular carcinoma (HCC) patients after transcatheter arterial chemoembolization (TACE).Methods: retrospective enrolled 265 diagnosed with HCC who underwent TACE between April 2014 and February 2021.The were divided into two groups: group (n=133) non-sarcopenia (n=132).The analyzed differences in overall survival (OS) progression-free (PFS) using Kaplan-Meier curves.The independent risk factors...
Unlike in a clinical trial, where researchers get to determine the least number of positive and negative samples required, or machine learning study size class distribution validation set is static known, real-world scenario, there little control over incoming patients. As result, when measured during different time periods, evaluation metrics like Area under Receiver Operating Curve (AUCROC) Under Precision-Recall Curve(AUCPR) may not be directly comparable. Therefore, this study, for...
ABSTRACT Many viruses have evolved structured RNA elements that can influence transcript abundance and translational efficiency, help evade host immune factors by hijacking cellular machinery during replication. Here, we evaluated the functional impact of sub-genomic flaviviral RNAs (sfRNAs) known to stall exoribonuclease activity, incorporating these into recombinant adeno-associated viral (AAV) genome cassettes. Specifically, sfRNAs from Dengue, Zika, Japanese Encephalitis, Yellow Fever,...
The emergence of large-scale Mixture Experts (MoE) models has marked a significant advancement in artificial intelligence, offering enhanced model capacity and computational efficiency through conditional computation. However, the deployment inference these present substantial challenges terms resources, latency, energy efficiency. This comprehensive survey systematically analyzes current landscape optimization techniques for MoE across entire system stack. We first establish taxonomical...
Many applications demand context sensing to offer personalized and timely services. Yet, developing programs can be challenging for developers using them is privacy-concerning end-users. In this paper, we propose use natural language as the unified interface process personal data sense user context, which effectively ease app development make pipeline more transparent. Our work inspired by large models (LLMs) other generative models, while directly applying does not solve problem - letting...