A5100453376- Cancer, Hypoxia, and Metabolism
- RNA modifications and cancer
- Retinoids in leukemia and cellular processes
- Cancer therapeutics and mechanisms
- Cancer-related molecular mechanisms research
- Virus-based gene therapy research
- Synthesis and Catalytic Reactions
- Hippo pathway signaling and YAP/TAZ
- Acute Myeloid Leukemia Research
- Ubiquitin and proteasome pathways
- Circular RNAs in diseases
- Cancer-related gene regulation
- Protein Degradation and Inhibitors
- Cancer, Lipids, and Metabolism
- Lipid metabolism and biosynthesis
- Chemical Synthesis and Analysis
- MicroRNA in disease regulation
- Face and Expression Recognition
- Histone Deacetylase Inhibitors Research
- interferon and immune responses
- Fibroblast Growth Factor Research
- Bladder and Urothelial Cancer Treatments
- Cloud Computing and Resource Management
- Estrogen and related hormone effects
- VLSI and Analog Circuit Testing
Longhua Hospital Shanghai University of Traditional Chinese Medicine
2023-2025
Shanghai University of Traditional Chinese Medicine
2023-2025
Xian Yang Central Hospital
2025
Wenzhou Medical University
2024
Central South University
2009-2024
Zhejiang University
2024
Guizhou Aerospace Power Science & Tech (China)
2024
Hunan Institute of Science and Technology
2010-2023
Shaanxi Provincial People's Hospital
2023
Ministry of Agriculture and Rural Affairs
2022-2023
BackgroundA lack of a sufficiently large sample at single sites causes poor generalizability in automatic diagnosis classification heterogeneous psychiatric disorders such as schizophrenia based on brain imaging scans. Advanced deep learning methods may be capable subtle hidden patterns from high dimensional data, overcome potential site-related variation, and achieve reproducible cross-site classification. However, learning-based transfer classification, despite less site-specificity more...
Power and performance tradeoff optimization is one of the most significant issues on heterogeneous multiprocessor or multicomputer systems (HMCSs) with dynamically variable voltage. In this paper, problem defined as energy-constrained performance-constrained energy optimization. Task scheduling for precedence-constrained parallel applications represented by a directed acyclic graph (DAG) in HMCSs an NP-HARD problem. Over last three decades, several task techniques have been developed...
Abstract Recent studies have shown that the expression of circRNAs would affect drug sensitivity cells and thus significantly influence efficacy drugs. Traditional biomedical experiments to validate such relationships are time-consuming costly. Therefore, developing effective computational methods predict potential associations between is an important urgent task. In this study, we propose a novel method, called MNGACDA, possible circRNA–drug for further screening. First, MNGACDA uses...
Context. Most ground-based direct-imaging planet search campaigns use angular differential imaging that distorts the signal from extended sources, such as protoplanetary disks. In case of young system PDS 70, for which two planets were detected within cavity a disk, obtaining reliable image both and disk is essential to understanding planet-disk interactions. Aims. Our goals are reveal true intensity without self-subtraction effects first time, new giant beyond separations 0.1″, study...
Abstract The gravitational deflection of light signals restricted in the polar-axis plane a moving Kerr-Newman (KN) black hole with constant velocity along polar axis is studied within second post-Minkowskian (PM) approximation. For this purpose, Lorentz boosting technique adopted to obtain exact metric KN an arbitrary Kerr-Schild coordinates for first time. Based on weak field limit metric, we then derive equations motion test particles constrained source whose and collinear its angular...
<title>Abstract</title> <bold>Objectives</bold>This research endeavors to pinpoint circulating proteins that exhibit a causal relationship with traits related gastrointestinal cancer through Mendelian randomization (MR) analytical framework. Dysfunctionof the human plasma proteome is frequently observed in plethora of diseases, including cancers. Owing their pivotal role, present compelling target for development therapeutic interventions aimed at malignancies. However, precise connections...
Automatic diagnosis and classification of schizophrenia based on functional magnetic resonance imaging (fMRI) data have attracted increasing attention in recent years. Most previous studies abstracted highly compressed features from the view brain science fed them into shallow classifiers for this purpose. However, their performance practical applications is unstable unsatisfactory. As an acute psychotic disorder, shows complexity fMRI data. Therefore, additional deep methods are needed to...
Vip3Aa is a novel insecticidal protein secreted by Bacillus thuringiensis (Bt) during its vegetative growth stages. It has high activity against lepidopteran pests such as Spodoptera frugiperda, and no cross-resistance with Cry proteins. As new type of insecticide, it plays an important role in controlling agricultural pests. However, the mechanism toxin, especially definite receptors, have not been fully revealed. In this study, previously reported receptor genes Sf-FGFR Sf-SR-C were...
Trimethylamine N-oxide (TMAO) serves as a metabolite of intestinal bacteria well urotoxin influencing the prognosis chronic kidney disease (CKD), which has become research hotspot in field disease. This study preliminarily explored alternations microbial flora and serum TMAO patients with type 2 diabetes mellitus (T2DM) complicated diabetic (DKD).Seventeen T2DM at Affiliated Hospital Zunyi Medical University between September 2018 February 2019 were included. Among these patients, 8 had DKD....
Accurate rock mass quality classification is crucial for the design and construction of underground projects. Traditional methods often rely on expert experience, introducing subjectivity, struggle with complex geological conditions. Machine learning algorithms have improved this issue, but obtaining complete datasets difficult due to high cost procedures. This study proposed a hybrid XGBoost model predicting using incomplete datasets. The zebra optimization algorithm (ZOA) Bayesian (BO)...
Several semantics models are adopted by time Petri nets for different applications. Yet they have some limitations on schedulability analysis of flexible manufacturing systems. The scheduling scope a strong model is greatly limited because the impact timing requirements, perhaps keeping optimal schedules out consideration. A weak cannot guarantee timeliness as there lacks enforcement. mixed ensure that independent transitions with overlapping firing interval fire in an interleaving way, thus...
A method of predicting Pareto dominance in multi-objective optimization using pattern recognition, and the framework classifier are proposed. kind Bayesian is preliminarily implemented. It used to predict among candidate solutions for various typical problems. The experimental data analysis show that predicted results can be recognize non-dominated solutions. Thus prediction serve as an efficient approach overcoming curse computation cost solving complicated
This paper addresses the problem of transistor decomposition, which can be used in high accuracy analog applications and structured design. We made a test chip to verify feasibility decomposition because lack theoretical support. The DC/AC measurement results from suggests that channel tuning, as well design based on array are applicable. Also our shows with suppress variation V <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</sub> stemmed...
Object tracking under occlusion sense is a challenging task. Although appearance-based trackers have been greatly improved in the last decade, they are still struggling with this Particle filter has proven as an efficient way which could overcome nonlinear situations. Unfortunately, conventional particle approach encounters failure during severe occlusions. In paper, we propose interactive method, by analyzing relationship between different targets, proposed algorithm select appearance model...
With the rapid development of commercialized computation, heterogeneous computing system (HCS) has evolved into a new method service provisioning based on utility models, in which users consume services and resources their quality requirements. In certain models using pay-as-you-go concept, are charged for accessed usage. addition, HCS provider also assumes responsibility to reduce energy consumption protect environment. This paper considers basic model known as directed acyclic graphs...