A5101997766- Time Series Analysis and Forecasting
- Complex Systems and Time Series Analysis
- Catalytic C–H Functionalization Methods
- Stock Market Forecasting Methods
- Fault Detection and Control Systems
- Oxidative Organic Chemistry Reactions
- Mineral Processing and Grinding
- Spectroscopy and Chemometric Analyses
- Sentiment Analysis and Opinion Mining
- Recommender Systems and Techniques
- Synthesis and Catalytic Reactions
- Cloud Computing and Resource Management
- Topic Modeling
- Complex Network Analysis Techniques
- Bioinformatics and Genomic Networks
- Advanced Text Analysis Techniques
- Ubiquitin and proteasome pathways
- Advanced Graph Neural Networks
- Machine Fault Diagnosis Techniques
- Caching and Content Delivery
- Plant Gene Expression Analysis
- Graph Labeling and Dimension Problems
- Graph theory and applications
- Multicomponent Synthesis of Heterocycles
- Coal Properties and Utilization
Zhejiang Sci-Tech University
2024
Yangtze University
2022
TCM-Intigrated Cancer Center of Southern Medical University
2017-2022
Xi'an Jiaotong University
2015-2020
Nanjing Forestry University
2020
China University of Mining and Technology
2016
Guangdong University of Petrochemical Technology
2016
Southern Medical University
2011-2012
Zhejiang University
2009-2011
University of California, Davis
2011
In recent years, many studies extract aspects from user reviews and integrate them with ratings for improving the recommendation performance. The common mentioned in a user’s product’s indicate indirect connections between product. However, these aspect-based methods suffer two problems. First, are usually very sparse, which is caused by sparsity of user-product interactions diversity individual users’ vocabularies. Second, interests on could be different respect to products, assumed static...
CCDC65 is a member of the coiled-coil domain-containing protein family and was only reported in gastric cancer by our group.We first observed that it downregulated lung adenocarcinoma based on TCGA database.Reduced shown as an unfavorable factor promoting clinical progression adenocarcinoma.Subsequently, -/-mice were found possibly dead hydrocephalus.Compared with +/+ mice, downregulation +/- mice significantly increased formation ability induced urethane.In subsequent investigation, we...
Monitoring and management of process transitions is a critical activity in chemical plants due to increased potential for abnormal operations. This often hampered by the lack proper approach label transition states. In this paper, we present systematic framework that constructs states thus facilitating their monitoring faulty To address nonstationary non-Gaussian characteristics time series data collected during process, an ensemble clustering method based on dynamic k-principal component...
We developed a direct vicinal difunctionalization of alkenes with iodine and TBHP at room temperature. This iodination peroxidation in one-pot synthesis produces 1-(tert-butylperoxy)-2-iodoethanes, which are inaccessible through conventional synthetic methods. method generates multiple radical intermediates situ has excellent regioselectivity, broad substrate scope mild conditions. The peroxide groups 1-(tert-butylperoxy)-2-iodoethanes have several potential applications allow further...
1-Carbamoyl-2-oxopropyl acetate derivatives were synthesized through an acetoxylation process to methylene with the aid of (diacetoxyiodo)benzene (DIB) as oxidant. Not only mild reaction conditions, but also excellent yields and good substrate scope make present protocol potentially useful in organic synthesis.
A novel and reliable method for the direct preparation of 2,2-dihalo- N -phenylacetamides is reported. The key transformation involves cleavage a carbon–carbon bond in presence DIB Lewis acid as halogen source, thus this significantly expands value unique powerful tool chemical synthesis. This protocol not only adds new aspect to reactions that use other hypervalent iodine reagents but also provides wide space synthesis disubstituted acetamides.
DNA methylation plays a vital role in diverse biological processes. methyltransferases (DNMTs) genes and RNA-directed (RdDM)-related are key responsible for establishing maintaining genome plants. In the present study, we systematically identified nine GbDNMTs Ginkgo biloba, including three common families of GbMET1a/1b, GbCMT2, GbDRMa/b/2a/2b/2c, fourth family—GbDNMT3—which is absent most angiosperms. We also twenty RdDM-related genes, four GbDCLs, six GbAGOs, ten GbRDRs. Expression...
The prevalence of Web 2.0 systems leads to a huge growth information and intensifies the competition for user attention. Hence understanding what make one news article popular how predict its popularity has attracted lot interest. In this paper, we focus on cold-start problem prediction, where only content features are used as input. A hierarchical neural network is proposed build distributed representation articles. This model could capture specific n-grams sequenced relations among...
Abstract A novel oxidative coupling of acetophenones with N,N‐dimethylformamide to synthesize aryl‐α‐ketoamides was developed by using copper oxide and iodine as the additives. For this conversion, DMF works not only solvent but also surrogate dimethylamine. Besides, additional oxidants, such peroxides or dioxygen, are necessary, atmospheric oxygen acts oxidant.
Abstract The majority of previous studies have been focused on the thermal properties SnO 2 nanofluids. In order to understand lubricating performance nanoparticles as additives, current study investigates effects addition tribological poly-alpha-olefin 6 base oil. dual-step method is utilized disperse in oil with oleic acid surfactant. shape and size are confirmed by transmission electron microscopy, dispersion stability examined dynamic light scattering tests. nanofluids explored a...
Abstract Hair follicle detection technology has developed rapidly in recent years. Traditional manual methods are labor-intensive and inefficient. To address this problem, we propose a real-time hair model called Hair-YOLO based on YOLOv8. This focuses accurately identifying the number of hairs within each follicle, providing precise data that help doctors assess density health patients. First all, incorporate Re-parameterization Ghost (RepGhost) module into backbone, reducing parameters...
PageRank has been widely used for the problem of evaluating importance data in many applications, such as Web science, information systems, and social network analysis. As vast amounts generate, development efficient computation is a vibrant area contemporary research. In this paper, we propose fast method based on decomposition structure directed acyclic graph (DAG). A technique first introduced to decompose original into three parts, including general sub-network two sub-DAGs. Based...
Time series forecasting is widely used in business intelligence, e.g., forecast stock market price, sales, and help the analysis of data trend. Most time interest are macroscopic that aggregated from microscopic data. However, instead directly modeling series, rare literature studied by leveraging on level. In this paper, we assume follow some unknown mixture probabilistic distributions. We theoretically show as identify ground truth latent components, estimation each component could be...
Text emotion mining has attracted many researchers' attention in recent years. Most existing studies focus on identifying of the text's author. In this paper, we are concerned with problem predicting reader's response from text content news article, aka social prediction. Social prediction can not only be used for analyzing people's reaction to events, but also help producers forecast underlying influence their unpublished articles. We propose a hierarchical LSTM network mechanism identify...
The effects of hydrothermal dewatering (HTD) on physicochemical properties and moisture re-adsorption capacity Zhaotong lignite were analyzed. results showed that HTD could improve the quality lignite. During process HTD, oxygen-containing functional groups decomposed. Both high temperature pressure favor formation large pore volume small diameter. Treated was key factor governing degree decreased from 12.47% to 6.13% when varied 200 300°C. While, had weaker effect re-adsorption.
The next-generation sequencing technologies provide a great deal of transcripts for bioinformatics research. Specially, because the regulation long non-coding RNAs (lncRNAs) in various cellular processes, research on IncRNAs is full swing. And solution identification basis in-depth study its functions. In this study, we present an approach to identify from large scale transcripts, named IncDML which completely different previous methods. our model, extract signal noise ratio (SNR) and k-mer...
Time series analysis, an important domain of machine learning and data mining, has attracted much research interest in the previous decade. Part efforts have focused on analyzing stock data, which is a major application time analysis. However always considered as unidimensional sequence recent lacking whole market perspective. This paper regards multi-dimensional proposes novel method trend analysis based feature reduction method. By taking advantage partial least squares, we rank dimensions...
The fraudulent insurance claim is critical for the industry. Insurance companies or agency platforms aim to confidently estimate fraud risk of claims by gathering data from various sources. Although more sources can improve estimation accuracy, they inevitably lead increased costs. Therefore, a great challenge verification lies in well balancing these two aspects. To this end, paper proposes framework named cost-efficient optimization with submodularity (CEROS) optimize process verification....
Autoscaling is a critical mechanism in cloud computing, enabling the autonomous adjustment of computing resources response to dynamic workloads. This particularly valuable for co-located, long-running applications with diverse workload patterns. The primary objective autoscaling regulate resource utilization at desired level, effectively balancing need optimization fulfillment Service Level Objectives (SLOs). Many existing proactive frameworks may encounter prediction deviations arising from...