A5101533633- Adversarial Robustness in Machine Learning
- Anomaly Detection Techniques and Applications
- Cancer-related molecular mechanisms research
- Advanced Neural Network Applications
- RNA Research and Splicing
- Network Security and Intrusion Detection
- MicroRNA in disease regulation
- Advanced Malware Detection Techniques
- Physical Unclonable Functions (PUFs) and Hardware Security
- FinTech, Crowdfunding, Digital Finance
- RNA Interference and Gene Delivery
- Circular RNAs in diseases
- Banking stability, regulation, efficiency
- Breast Cancer Treatment Studies
- Myofascial pain diagnosis and treatment
- Software System Performance and Reliability
- Advanced biosensing and bioanalysis techniques
- RNA modifications and cancer
- Death Anxiety and Social Exclusion
- Microfinance and Financial Inclusion
- Domain Adaptation and Few-Shot Learning
- CRISPR and Genetic Engineering
- Digital Media Forensic Detection
- Breast Implant and Reconstruction
- Media Influence and Health
Yangtze University
2018-2025
Westlake University
2021-2023
Institute of Basic Medical Sciences of the Chinese Academy of Medical Sciences
2021-2023
Shanghai Institute of Nutrition and Health
2021-2023
Bank for International Settlements
2022-2023
Shanghai Artificial Intelligence Laboratory
2023
Beijing Academy of Artificial Intelligence
2023
PLA Information Engineering University
2022-2023
Jinan University
2023
University of Hong Kong
2023
Monocular 3D object detection has long been a challenging task in autonomous driving. Most existing methods follow conventional 2D detectors to first localize centers, and then predict attributes by neighboring features. However, only using local visual features is insufficient understand the scene-level spatial structures ignores long-range inter-object depth relations. In this paper, we introduce DETR framework for DEtection with depth-guided TRansformer, named MonoDETR. We modify vanilla...
Accurately predicting pathological complete response (pCR) to neoadjuvant treatment (NAT) in breast cancer remains challenging due tumor heterogeneity. This study enrolled 2279 patients across 12 centers and develops a novel multi-modality model integrating longitudinal magnetic resonance imaging (MRI) spatial habitat radiomics, transcriptomics, single-cell RNA sequencing for pCR. By analyzing subregions on multi-timepoint MRI, the captures dynamic intra-tumoral heterogeneity during NAT. It...
Loss of dystrophin protein causes Duchenne muscular dystrophy (DMD), characterized by progressive degeneration cardiac and skeletal muscles, mortality in adolescence or young adulthood. Although failure has risen as the leading cause patients with DMD, effective therapeutic interventions remain underdeveloped, part, because lack a suitable preclinical model.We analyzed novel murine model DMD created introducing 4-bp deletion into exon 4, one exons encoding actin-binding domain 1 (referred to...
Nucleic acid detection plays a pivotal role in the accurate diagnosis of diseases. The CRISPR/Cas system, noted for its significant utility variety applications, often necessitates enhanced sensitivity or specific signal amplification strategies, particularly detecting low-abundance biomarkers. In this study, we present quantum-dot-encoded beads (QDB)-energized CRISPR/Cas12-based lateral-flow assay (QDB-CRISPR-LFA). This method enables amplification-free, sensitive, and rapid (<40 min)...
Duchenne muscular dystrophy (DMD) is a severe genetic disease caused by the loss of dystrophin protein. Exon skipping promising strategy to treat DMD restoring truncated dystrophin. Here, we demonstrate that base editors (e.g., targeted AID-mediated mutagenesis [TAM]) are able efficiently induce exon disrupting functional redundant exonic splicing enhancers (ESEs). By developing an unbiased and high-throughput screening interrogate sequences, successfully identify novel ESEs in exons 51 53....
RNA therapeutics are emerging as transformative modalities in clinical applications and have become a key area life science research. While lipid nanoparticles (LNPs) the leading platform for delivery preventive therapeutic products, they still face significant challenges achieving efficient extrahepatic maintaining long term shelf stability. Here we report development of series biodegradable poly(β-amino amide) (PBAA) polymers, detailing their design, synthesis, performance gene vehicles...
To clarify the clinical relevance of ubiquitin-specific protease 8 (USP8) for patients with breast cancer (BC).Previous BC microarray studies GSE37751, GSE7390, and GSE21653 were reanalyzed to determine USP8 levels between corresponding normal tissues correlation expression features outcomes BC. Gene set enrichment analysis (GSEA) was conducted investigate potential mechanisms.USP8 downregulated in cells compared that (P < 0.0001). The Χ2 test logistic regression demonstrated high-expression...
HnRNPK is a heterogeneous nuclear ribonucleoprotein (hnRNP) that has been firmly implicated in transcriptional and post-transcriptional regulation. However, the molecular mechanisms by which hnRNPK orchestrates or regulation are not well understood due to early embryonic lethality homozygous knockout mice, especially tissue-specific context. Strikingly, this study, we demonstrated strongly expressed mouse testis mainly localizes nucleus spermatogonia, spermatocytes, round spermatids,...
Abstract The present study aims to analyze the effects of breast-conserving surgery and modified radical mastectomy on operation indexes, Symptom checklist-90 scores prognosis in patients with early breast cancer. clinical data 128 cancer who were treated our hospital from May 2015 2016 included into analysis. These divided 2 groups, according different modes (n = 64): control group, underwent mastectomy; observation conserving surgery. Then, surgical indexes compared between these groups....
This paper studies monetary policy transmission through BigTech and traditional banks. By comparing business loans made by a bank with those banks, it finds that tend to be smaller, the grants credit more new borrowers compared conventional banks in response expansionary policy. The bank's advantages information, monitoring, risk management are potential mechanisms. analysis also credits firms have already borrowed from these respond similarly changes Overall, amplifies mainly extensive...
Obesity and its related metabolic diseases have become great public health threats worldwide. Although accumulated evidence suggests that circRNA is a new type of non-coding RNAs regulating various physiological pathological processes, little attention has been paid to the expression profiles functions circRNAs in white adipose tissue. In this study, 3,771 were detected three stages adipogenesis (preadipocyte, differentiating preadipocyte, mature adipocyte) by RNA-seq. Experimental...
Obesity has been reported to promote disordered folliculogenesis, but the exact molecular mechanisms are still not fully understood. In this study, we find that miR-133a is involved in obesity-induced follicular development disorder. After feeding with a high-fat diet (HFD) and fructose water for nine weeks, mouse body weight significantly increased, accompanied by an inflammatory state increased expression of adipose tissues ovaries as well accelerated follicle depletion. Although fat HFD...
Learning-based Network Intrusion Detection Systems (NIDSs) are widely deployed for defending various cyberattacks. Existing learning-based NIDS mainly uses Neural (NN) as a classifier that relies on the quality and quantity of cyberattack data. Such NN-based approaches also hard to interpret improving efficiency scalability. In this paper, we design new local-global computation paradigm, FEDFOREST, novel by combining interpretable Gradient Boosting Decision Tree (GBDT) Federated Learning...
Binary code similarity detection (BCSD) has important applications in various fields such as vulnerability detection, software component analysis, and reverse engineering. Recent studies have shown that deep neural networks (DNNs) can comprehend instructions or control-flow graphs (CFG) of binary support BCSD. In this study, we propose a novel Transformer-based approach, namely jTrans, to learn representations code. It is the first solution embeds control flow information into language...
Monocular 3D object detection has long been a challenging task in autonomous driving. Most existing methods follow conventional 2D detectors to first localize centers, and then predict attributes by neighboring features. However, only using local visual features is insufficient understand the scene-level spatial structures ignores long-range inter-object depth relations. In this paper, we introduce DETR framework for DEtection with depth-guided TRansformer, named MonoDETR. We modify vanilla...
Although a growing number of charities have used virtual reality (VR) technology for fundraising activities, with better results than ever before, little research has been undertaken on what factors make VR beneficial in supporting charitable giving. The primary goal this study is to investigate the underlying mechanism giving, which extends current literature and donation behaviors. findings indicated that appeals increase actual money donations when compared traditional two-dimensional...
Pigs are globally farmed animals which provide protein for human consumption in the form of skeletal muscle. To better understand function long intergenic noncoding RNAs (lincRNAs) porcine muscle growth and development, we collected RNA-seq data from longissimus dorsi (LDM) during embryonic development. We identified a total 739 lincRNA transcripts, were distributed on all chromosomes except chromosome Y, analyzed their molecular characteristics. Compared to protein-coding genes, lincRNAs...
This paper studies monetary policy transmission through BigTech and traditional banks. By comparing business loans made by a bank with those banks, it finds that credit amplifies mainly the extensive margin. Specifically, is more likely to grant new borrowers compared conventional banks in response expansionary policy. The bank’s advantages information, monitoring, risk management are potential mechanisms. In addition, has stronger impact on real economy lending.
This study investigates the effectiveness of virtual reality (VR) advertising in promoting charitable donations. The results indicated that, when compared with traditional two-dimensional format, VR can increase number people who decide to donate, as well amount donated. favorable effect was achieved through a serial mediating vicarious experience and existential guilt. Additionally, findings also identified need for stimulation boundary condition, suggesting that individuals low (versus...