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Claim this profileWorks133 from public data
- Track Anything: Segment Anything Meets Videos363
The Track Anything Model (TAM) is proposed, which achieves high-performance interactive tracking and segmentation in videos with very little human participation, and achieves satisfactory results in one-pass inference.
- Irisin alleviates pulmonary epithelial barrier dysfunction in sepsis-induced acute lung injury via activation of AMPK/SIRT1 pathways195
Irisin improved LPS-induced alveolar epithelial barrier dysfunction via suppressing inflammation and apoptosis, and this protective effect might be mediated by activating AMPK/SIRT1 pathways.
- Spinal anaesthesia for patients with coronavirus disease 2019 and possible transmission rates in anaesthetists: retrospective, single-centre, observational cohort study123
Spinal anaesthesia was delivered safely in patients with active COVID-19 infection, the majority of whom had Caesarean sections, and level 3 PPE appears to reduce the risk of transmission to anaesthetists who are exposed to mildly symptomatic surgical patients.
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- Job burnout and turnover intention among Chinese primary healthcare staff: the mediating effect of satisfaction110
The turnover intention is significantly affected by job burnout, satisfaction and demographical characteristics including age, education level, monthly income, hire form and night shift and Satisfaction can be regarded as a mediator between job burn out and turnover intention.
- CD4+ T cell activation and inflammation in NASH-related fibrosis106
The role of different subsets of CD4+ T cells including Th1, Th2, Th17, Th22, and Treg in NASH-related liver inflammation and fibrosis is discussed.
- Transferable Decoding with Visual Entities for Zero-Shot Image Captioning95
ViECap is proposed, a transferable decoding model that leverages entity-aware decoding to generate descriptions in both seen and unseen scenarios and incorporates entity-aware hard prompts to guide LLMs’ attention toward the visual entities present in the image, enabling coherent caption generation across diverse scenes.
- Emerging and Reemerging Helminthiases and the Public Health of China94
Evidence from biogeography, genetics, and systematics suggests that the genetic diversification of Chinese helminths and their vectors is an ongoing evolutionary process that began 12 million years ago near the convergence of major Asian river systems.
- Oxygen-Generating Hydrogels Overcome Tumor Hypoxia to Enhance Photodynamic/Gas Synergistic Therapy64
A sustained oxygen supply system based on cerium nanoparticles and hydrogel (GHCAC) was explored for enhanced synergistic PDT and gas therapy to overcome cervical cancer.
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- Neonatal ketone body elevation regulates postnatal heart development by promoting cardiomyocyte mitochondrial maturation and metabolic reprogramming56
It is reported that neonatal ketone body elevation is a critical regulatory factor for postnatal heart development through regulating mitochondrial maturation and metabolic reprogramming.
- Methylene Blue and Epinephrine49
Compared with epinephrine alone, the methylene blue–epinephrine association avoided neuronal excitotoxicity and had an additive effect both on hemodynamic variables and for prevention of brain ischemia.
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- Prognostic impact of lymphovascular and perineural invasion in squamous cell carcinoma of the tongue37
Lymphovascular and perineural invasions are independent negative prognostic factors for squamous cell carcinoma of the tongue and may have significantly poorer overall survival than those without neurovascular involvement.
- CAR: Controllable Autoregressive Modeling for Visual Generation36
This study introduces Controllable AutoRegressive Modeling (CAR), a novel, plug-and-play framework that integrates conditional control into multi-scale latent variable modeling, enabling efficient control generation within a pre-trained visual autoregressive model.
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- Pose-Aided Video-Based Person Re-Identification via Recurrent Graph Convolutional Network33
This work proposes a two-branch architecture to separately learn the appearance feature and pose feature of a given pedestrian, and then concatenate them together for inference, and proposes a dual-attention method (DAM) consisting of node-att Attention and time-att attention to obtain the temporal graph representation from the node embeddings.
- SoftPatch+: Fully unsupervised anomaly classification and segmentation31
This paper is the first to consider fully unsupervised industrial anomaly detection (i.e., unsupervised AD with noisy data) with memory-based unsupervised AD methods, SoftPatch and SoftPatch+, which efficiently denoise the data at the patch level.
- Effects of propofol and sevoflurane on social and anxiety-related behaviours in sleep-deprived rats31
Unlike sevoflurane, propofol reduced sleep deprivation-induced social and anxiety-related behaviours and might be superior to sev ofluranes for patients with sleep disorders who receive anaesthesia, which should be studied in clinical studies.
- NLRP3 inflammasome inhibition by histone acetylation ameliorates sevoflurane-induced cognitive impairment in aged mice by activating the autophagy pathway31
Results show that histone acetylation activates autophagy plays an important role in inhibiting the activation of the NLRP3 inflammasome to protect the host from excessive neuroinflammation and sevoflurane-induced cognitive dysfunction in the aging brain.
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- Agri-LLaVA: Knowledge-Infused Large Multimodal Assistant on Agricultural Pests and Diseases28
The first multimodal instruction-following dataset in the agricultural domain is constructed, covering over 221 types of pests and diseases with approximately 400,000 data entries, and a knowledge-infused training method is proposed to develop Agri-LLaVA, an agricultural multimodal conversation system.
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- MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection25
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- InfiniteWorld: A Unified Scalable Simulation Framework for General Visual-Language Robot Interaction23
InfiniteWorld is introduced, a unified and scalable simulator for general vision-language robot interaction built on Nvidia Isaac Sim that integrates a series of improvements in generation-driven 3D asset construction, Real2Sim, automated annotation framework, and unified 3D asset processing.
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- RGBD Object Tracking: An In-depth Review17
This paper is the first to provide depth quality evaluation and analysis of tracking results in depth-friendly scenarios in RGBD tracking, and proposes robustness evaluation against input perturbations.
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- Toward Multi-class Anomaly Detection: Exploring Class-aware Unified Model against Inter-class Interference14
A Multi-class Implicit Neural representation Transformer for unified Anomaly Detection (MINT-AD), which leverages the fine-grained category information in the training stage to mitigate inter-class interference within the reconstruction model.
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- Towards Balanced Representation Learning with Semantic Anchor Regularization–
This paper disentangle the representation regularization from the feature learning process and proposes a semantic anchor regularization (SAR) that is generated from predefined anchors that performs in the manner of visual-language alignment but is more flexible.
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- Subband-based Generative Adversarial Network for Non-parallel Many-to-many Voice Conversion–
Inspired by the inherent structure of mel-spectrogram, a new voice conversion framework, i.e., Subband-based Generative Adversarial Network for Voice Conversion (SGAN-VC), which converts each subband content of the source speech separately by explicitly utilizing the spatial characteristics between different subbands.
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- Heterogeneous ribonucleoprotein D selectively regulates the expression of genes in the immune system–
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Publication data from OpenAlex; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-13. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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