A5100451692- Biomedical Text Mining and Ontologies
- Sulfur Compounds in Biology
- Topic Modeling
- Cancer-related molecular mechanisms research
- Genomics and Phylogenetic Studies
- Machine Learning in Bioinformatics
- Phytoplasmas and Hemiptera pathogens
- Gene expression and cancer classification
- Advanced Chemical Sensor Technologies
- Nanoplatforms for cancer theranostics
- Orbital Angular Momentum in Optics
- Non-Invasive Vital Sign Monitoring
- Gut microbiota and health
- Metal-Organic Frameworks: Synthesis and Applications
- Advanced Image Fusion Techniques
- Model Reduction and Neural Networks
- Microwave Imaging and Scattering Analysis
- 3D Printing in Biomedical Research
- Microbial Inactivation Methods
- Ferroptosis and cancer prognosis
- Orthoptera Research and Taxonomy
- Bioinformatics and Genomic Networks
- Advanced SAR Imaging Techniques
- Hydraulic Fracturing and Reservoir Analysis
- Selenium in Biological Systems
China University of Petroleum, Beijing
2024
Shandong University
2024
Ministry of Industry and Information Technology
2023
Beijing Institute of Technology
2023
Nanjing Tech University
2023
Xiangtan University
2019-2022
Xi'an Jiaotong University
2022
Hainan University
2022
Imperial College London
2022
Nanjing University
2017-2021
Abstract Accurate detection of hepatic hydrogen sulfide (H 2 S) to monitor H S‐related enzymes’ activity is critical for acute hepatitis diagnosis, but remains a challenge due the dynamic and transient nature S. Here, we report S‐activatable near‐infrared afterglow/MRI bimodal probe F1 ‐GdNP, which shows an “always‐on” MRI signal “off‐on” afterglow toward ‐GdNP fast response, high sensitivity specificity S, permitting imaging S evaluation cystathionine γ‐lyase (CSE)’s in living mice. We...
Abstract Hydrogen sulfide (H 2 S) is an important endogenous gasotransmitter, but the targeted delivery and real‐time feedback of exogenous H S are still challenging. With aid density functional theory (DFT) calculations, we designed a new 1,3‐dithiolium‐4‐olate (DTO) compound, which can react with strained alkyne via 1,3‐dipolar cycloaddition retro‐Diels–Alder reaction to generate carbonyl (COS) as precursor S, thiophene derivative turn‐on fluorescence. Moreover, diphenylamino substituent...
The prediction of the health status and remaining useful life lithium-ion batteries is very important for safety electric vehicles other devices. However, due to fact that battery residual capacity cannot be measured in real time, estimation a great challenge management system vehicles. At present, machine learning methods have been widely used state estimation. Based on experimental data NASA battery, this article proposes model based gradient boosting decision tree (GBDT) framework screens...
A growing number of clinical observations have indicated that microbes are involved in a variety important human diseases. It is obvious in-depth investigation correlations between and diseases will benefit the prevention, early diagnosis prognosis greatly. Hence, this paper, based on known microbe-disease associations, prediction model called NBLPIHMDA was proposed to infer potential associations. Specifically, two kinds networks including disease similarity network microbe were first...
Over the years, numerous evidences have demonstrated that microbes living in human body are closely related to life activities and diseases. However, traditional biological experiments time-consuming expensive, so it has become a research topic bioinformatics predict potential microbe-disease associations by adopting computational methods. In this study, novel calculative method called BPNNHMDA is proposed identify associations. BPNNHMDA, neural network model first designed infer...
Three endogenous biothiols in single cells were simultaneously quantified by plasmonic Raman probes and quantitative principal component analysis (qPCA).
The survival of human beings is inseparable from microbes. More and more studies have proved that microbes can affect physiological processes in various aspects are closely related to some diseases. In this paper, based on known microbe-disease associations, a bidirectional weighted network was constructed by integrating the schemes normalized Gaussian interactions recommendations firstly. And then, newly network, computational model called BWNMHMDA developed predict potential relationships...
Galactooligosaccharides (GOS) are one of the most important functional oligosaccharide prebiotics. The surface display enzymes was considered excellent strategies to obtain these products. However, a rough industrial environment would affect biocatalytic process. catalytic process could be efficiently improved using biofilm-based fermentation with high resistance and activity. Therefore, combination β-galactosidase biofilm formation in Pichia pastoris constructed. results showed that...
Abstract Accurate detection of hepatic hydrogen sulfide (H 2 S) to monitor H S‐related enzymes’ activity is critical for acute hepatitis diagnosis, but remains a challenge due the dynamic and transient nature S. Here, we report S‐activatable near‐infrared afterglow/MRI bimodal probe F1 ‐GdNP, which shows an “always‐on” MRI signal “off‐on” afterglow toward ‐GdNP fast response, high sensitivity specificity S, permitting imaging S evaluation cystathionine γ‐lyase (CSE)’s in living mice. We...
More and more evidence has demonstrated that microbiota play important roles in the life processes of human body. In recent years, various computational methods have been proposed for identifying potentially disease-associated microbes to save costs traditional biological experiments. However, prediction performances these are generally limited by outdated incomplete datasets. And moreover, until now, there studies can provide visual predictive tools inferring possible microbe-disease...
Adaptive filter based on least-mean-square (LMS) algorithm is used to pre-processing photoplethysmography (PPG) signal which feeble and apt affect by motion artifact. Firstly, relationship between normal artifact analyzed using Beer-Lambert Law for settling motive interference problem of pulse oximeter. It shown that the disturbance PPG approximate linear combination relation, so processing methodology may be separate two signals. And then adaptive fundamental introduced emphasized...
Growing evidence has elucidated that long non-coding RNAs (lncRNAs) are involved in a variety of complex diseases human bodies. In recent years, it become hot topic to develop effective computational models identify potential lncRNA-disease associations. this article, novel method called ICLRBBN (Internal Confidence-Based Local Radial Basis Biological Network) is proposed detect associations by adopting an internal confidence-based radial basis biological network. ICLRBBN, collaborative...
Large vision-language models (LVLMs), exemplified by GPT-4V, excel across diverse tasks involving concrete images from natural scenes. However, their ability to interpret abstract figures, such as geometry shapes and scientific plots, remains limited due a scarcity of training datasets in domains. To fill this gap, we introduce Multimodal ArXiv, consisting ArXivCap ArXivQA, for enhancing LVLMs comprehension. is figure-caption dataset comprising 6.4M 3.9M captions sourced 572K ArXiv papers...
Safe and reliable natural language inference is critical for extracting insights from clinical trial reports but poses challenges due to biases in large pre-trained models. This paper presents a novel data augmentation technique improve model robustness biomedical trials. By generating synthetic examples through semantic perturbations domain-specific vocabulary replacement adding new task numerical quantitative reasoning, we introduce greater diversity reduce shortcut learning. Our approach,...
One of the key materials in solid-state lithium batteries is fast ion conductors. However, Li+ transport inorganic crystals involves complex factors, making it a mystery to find and design conductors with low migration barriers. In this work, distinctive structural characteristic involving isolated anions has been discovered enhance high ionic conductivity crystals. It an effective way create smooth energy potential landscape construct local pathways for migration. By adjusting spacing...