A5100731435- Advanced Neural Network Applications
- Virtual Reality Applications and Impacts
- MicroRNA in disease regulation
- Medical Image Segmentation Techniques
- Extracellular vesicles in disease
- Free Will and Agency
- Intracranial Aneurysms: Treatment and Complications
- Neuroinflammation and Neurodegeneration Mechanisms
- Sport Psychology and Performance
- Action Observation and Synchronization
- COVID-19 diagnosis using AI
- Genomics and Phylogenetic Studies
- vaccines and immunoinformatics approaches
- Ferroptosis and cancer prognosis
- Plant Reproductive Biology
- Machine Learning in Bioinformatics
- Cancer-related molecular mechanisms research
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Domain Adaptation and Few-Shot Learning
- RNA Interference and Gene Delivery
- Algorithms and Data Compression
- Intravenous Infusion Technology and Safety
- Metabolomics and Mass Spectrometry Studies
- Recommender Systems and Techniques
Hubei University of Medicine
2018-2025
Taihe Hospital
2018-2025
Huazhong Agricultural University
2021-2025
University of South China
2025
First Affiliated Hospital of Harbin Medical University
2024
Guangzhou University of Chinese Medicine
2024
Hangzhou Normal University
2024
Harbin Medical University
2024
University College London
2022-2023
Guangxi University
2023
Transplantation of neural stem cells (NSCs) has been proved to promote functional rehabilitation brain lesions including ischemic stroke. However, the therapeutic effects NSC transplantation are limited by low survival and differentiation rates NSCs due harsh environment in after Here, we employed derived from human induced pluripotent together with exosomes extracted treat cerebral ischemia middle artery occlusion/reperfusion mice. The results showed that NSC-derived significantly reduced...
Higher plants survive terrestrial water deficiency and fluctuation by arresting cellular activities (dehydration) resuscitating processes (rehydration). However, how monitor availability during rehydration is unknown. Although increases in hypo-osmolarity-induced cytosolic Ca
Abstract Understanding user perceptions of interacting with the virtual world is one research focuses in recent years, given rapid proliferation reality (VR) and driven to establish metaverse. Users can generate a familiar connection between their bodies by being embodied hands, hand representations induce users’ embodiment VR. The sense represents cognitive awareness one's manifestation includes three subcomponents: body ownership, agency self-location. There insufficient evidence...
Liver vessels generated from computed tomography are usually pretty small, which poses major challenges for satisfactory vessel segmentation, including 1) the scarcity of high-quality and large-volume masks, 2) difficulty in capturing vessel-specific features, 3) heavily imbalanced distribution liver tissues. To advance, a sophisticated model an elaborated dataset have been built. The has newly conceived Laplacian salience filter that highlights vessel-like regions suppresses other to shape...
Ischemic stroke constitutes a multifaceted neurological affliction that spans various cellular types. Lack of dynamic chromatin accessibility data after is one the obstacles to understanding this process. To gain insights into variations in transcriptional regulation among cell types subsequent stroke, we employed single-nucleus ATAC-seq curate compendium from cerebral cortex mice subjected middle artery occlusion/reperfusion (MCAO/R). Tissue samples were collected at time points including...
Hypoxia is a common feature of glioblastoma (GBM). Circular RNAs (circRNAs) are identified as regulators in cancers. However, the role circRNAs GBM remains elusive. Here, circPLOD2a and circPLOD2b, spliced from same parental gene PLOD2, hypoxia-responsive circRNAs. Overexpression b enhance while knockdown inhibit cell aggressiveness. The protein partners downstream molecules were investigated by RNA-pulldown, mass spectrometry RNA-seq. Mechanistically, HIF1α induces expression b, which...
Hip fractures in the elderly are a major global public health concern, with incidence projected to rise as populations age. Rehabilitation is critical recovery after hip fracture surgery, but ideal timing for initiation remains uncertain. While early rehabilitation, within 48 h post-surgery, associated better outcomes, its specific impact on hospital stay duration and postoperative complications not yet conclusively established. This study aims evaluate effects of initiating rehabilitation...
NGS data contains many machine-induced errors. The most advanced methods for the error correction heavily depend on selection of solid k-mers. A k-mer is a frequently occurring in reads. other k-mers are called weak does not likely contain errors, while An intensively investigated problem to find good frequency cutoff f0 balance numbers and Once determined, more challenging but less-studied to: (i) remove small subset that (ii) add k-mers, no into remaining set Identification these two...
Virtual movement augmentation, which refers to the visual amplification of remapped movement, shows potential be applied in motion-related virtual reality programs. Sense agency (SoA), measures user's feeling control their action, has not been fully investigated for augmented movement. This study effect at three different levels (baseline, medium, and high) on users' SoA using both subjective responses electroencephalography (EEG). Results show that can boosted slightly medium augmentation...
Virtual reality has attracted lots of attention recently as a promising tool integrated with motor rehabilitation. Movement modulation in virtual rehabilitation can purposefully influence learning by visually changing the representation. Moreover, effect movement on sense agency and performance deserves further in-depth investigations. This paper proposes design system for reaching movements strategy. The experiment study explored five modes analyzing data from both subjective responses...
The integration of multimodal information into sequential recommender systems has attracted significant attention in recent research. In the initial stages recommendation models, mainstream paradigm was ID-dominant recommendations, wherein fused as side information. However, due to their limitations terms transferability and intrusion, another emerged, features were employed directly for recommendation, enabling across datasets. Nonetheless, it overlooked user ID information, resulting low...
Cerebral cavernous malformation (CCM) is a polygenic disease with intricate genetic interactions contributing to quantitative pathogenesis across multiple factors. The principal pathogenic genes of CCM, specifically KRIT1, CCM2, and PDCD10, have been reported, accompanied by growing wealth data related mutations. Furthermore, numerous other molecules associated CCM unearthed. However, tackling such massive volumes unstructured remains challenging until the advent advanced large language...
Temozolomide (TMZ) resistance is a major challenge in the treatment of glioblastoma (GBM). Tumour reproductive cells (TRCs) have been implicated development chemotherapy resistance. By culturing DBTRG three-dimensional soft fibrin gels to enrich GBM TRCs and performing RNA-seq analysis, expression stanniocalcin-1 (STC), gene encoding secreted glycoprotein, was found be upregulated TRCs. Meanwhile, viability TMZ-treated TRC significantly higher than that 2D cells. Analysis clinical data from...
Glioblastoma (GBM) is the most common malignant primary brain tumor in adults, which fast growing and tends to invade surrounding normal tissues. Uncovering molecular cellular mechanisms of GBM high invasion potential great importance for treatment prognostic prediction. However, commonly used two-dimensional (2D) cell culture analysis system suffers from lack heterogeneity vivo property Here, we established a three-dimensional (3D) culture-based that could better recapitulate mimic...
Animal pose estimation is important to understand animal behavior and injury. This especially the case with horse lameness. In past, studies have focused on combining trackable markers animals high-speed cameras support gait detection. time consuming often impractical. paper explores feasibility of using deep learning for markerless motion tracking. We trained a neural network locate horse's body parts, then analyzed whether was lame based their trajectory. Different methods were studied two...
Abstract Motivation K-mers along with their frequency have served as an elementary building block for error correction, repeat detection, multiple sequence alignment, genome assembly, etc., attracting intensive studies in k-mer counting. However, the output of counters itself is large; very often, it too large to fit into main memory, leading highly narrowed usability. Results We introduce a novel idea encoding k-mers well frequency, achieving good memory saving and retrieval efficiency....
Virtual avatars or hands in virtual reality connect users' physical bodies and worlds. Changes the hand representations (body continuity realism) may affect user perceptions task performance. However, there is no agreed conclusion on how they influence (the sense of embodiment presence) limited evidence Therefore, this paper investigates impact body (connected disconnected hand) with three realism levels performance by self-report objective data reality. The results revealed significant...
Structural flexibility is an intrinsic characteristics of a protein upon interacting with other molecules, which mainly comes from the movement residue's side chain, backbone and even entire domain. Considering this property can be very helpful in binding analysis, such as epitope identification during antibody-antigen interaction. Unfortunately, to our knowledge, no approach available at studying dynamicity computational perspective. We are pioneering new perspective exploring sites...
The translocation of intestinal flora has been linked to the colonization diverse and heavy lower respiratory in patients with septic ARDS, is considered a critical prognostic factor for patients.
Multimodal Large Language Models (MLLMs) have experienced significant advancements recently. Nevertheless, challenges persist in the accurate recognition and comprehension of intricate details within high-resolution images. Despite being indispensable for development robust MLLMs, this area remains underinvestigated. To tackle challenge, our work introduces InfiMM-HD, a novel architecture specifically designed processing images different resolutions with low computational overhead. This...
Early diagnosis plays a pivotal role in handling the global health challenge posed by liver diseases. However, early-stage lesions are typically quite small, presenting significant difficulties due to insufficient regions for developing effective features, indistinguishable boundaries of small lesions, and lack tiny lesion masks. To address these issues, we approach solution two-fold: an efficient model high-quality dataset. The is built upon advantages path signature camouflaged object...
Deep learning has been widely applied in recommender systems, which achieved revolutionary progress recently. However, most existing learning-based methods assume that the user and item distributions remain unchanged between training phase test phase. distribution of features can naturally shift real-world scenarios, potentially resulting a substantial decrease recommendation performance. This phenomenon be formulated as an Out-Of-Distribution (OOD) problem. To address this challenge, we...