A5100725383- Topic Modeling
- Natural Language Processing Techniques
- Developmental Biology and Gene Regulation
- Ubiquitin and proteasome pathways
- Plant pathogens and resistance mechanisms
- Plant Pathogens and Fungal Diseases
- Plant Pathogenic Bacteria Studies
- Advanced Malware Detection Techniques
- Autism Spectrum Disorder Research
- Autophagy in Disease and Therapy
- Text Readability and Simplification
- Genetics and Neurodevelopmental Disorders
- Neurobiology and Insect Physiology Research
- dental development and anomalies
- Software Engineering Research
- Advanced Text Analysis Techniques
- Network Security and Intrusion Detection
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
- Chemical Synthesis and Analysis
- Cancer-related Molecular Pathways
- Text and Document Classification Technologies
- Protein Kinase Regulation and GTPase Signaling
- Adversarial Robustness in Machine Learning
- Astrophysics and Cosmic Phenomena
- Anomaly Detection Techniques and Applications
Peking University Sixth Hospital
2023-2024
Peking University
2023-2024
National University of Defense Technology
2022-2024
Wuhan University
2022-2024
Science Oxford
2024
University of Oxford
2023
Shenzhen University
2023
Audencia Business School
2023
Beijing University of Posts and Telecommunications
2023
Switch
2023
Background In recent years, a large number of studies have focused on autism spectrum disorder (ASD). The present study used bibliometric analysis to describe the state ASD research over past decade and identify its trends fronts. Methods Studies published from 2011 2022 were obtained Web Science Core Collection (WoSCC). Bibliometrix, CiteSpace, VOSviewer for analysis. Results A total 57,108 included in systematic search, articles more than 6,000 journals. publications increased by 181.7%...
Abstract Background Proteins containing ubiquitin-like (UBL) and ubiquitin associated (UBA) domains have been suggested to shuttle ubiquitinated substrates the proteasome for degradation. There are three UBL-UBA proteins in budding yeast: Ddi1, Dsk2 Rad23, which demonstrated play regulatory roles targeting An involvement of these cell cycle related events has also reported. We tested whether act redundantly cycle. Results Here we show that partially redundant roles. RAD23 is with DDI1 DSK2 ,...
Abstract Accurate and effective power system load forecasting is an important prerequisite for the safe stable operation of grid normal production society. In recent years, convolutional neural networks (CNNs) have been widely used in time series prediction due to their parallel computing other characteristics, but it difficult CNNs capture relationship sequence context meanwhile, easily leads information leakage. To avoid drawbacks CNNs, we adopt a temporal network (TCN), specially designed...
AI has introduced a new reform direction for traditional education, such as automating Grammatical Error Correction (GEC) to reduce teachers' workload and improve efficiency. However, current GEC models still have flaws because human language is very variable, the available labeled datasets are often too small learn everything automatically. One of key principles preserve correct parts input text while correcting grammatical errors. previous sequence-to-sequence (Seq2Seq) may be prone...
Extractive summarization aims to produce a concise version of document by extracting information-rich sentences from the original texts. The graph-based model is an effective and efficient approach rank since it simple easy use. However, its performance depends heavily on good text representation. In this paper, integrated graph (iGraph) for extractive proposed. An enhanced embedding used detect inherent semantic properties at word level, bigram level trigram level. Words with part-of-speech...
In recent years, deep learning technology has been used to solve partial differential equations (PDEs), among which the physics-informed neural networks (PINNs)method emerges be a promising method for solving both forward and inverse PDE problems. PDEs with point source that is expressed as Dirac delta function in governing are mathematical models of many physical processes. However, they cannot solved directly by conventional PINNs due singularity brought function. this paper, we propose...
In this study, we examined ticket pricing and train stop planning for the high-speed railway (HSR), which integrates two key aspects of operation organization. We considered that passenger demand is sensitive to generalized travel cost (depending on price time) plan can affect time distribution. Then, a mixed-integer non-linear optimization model was proposed joint problem maximize HSR’s transport revenue minimize passengers’ time. Based high similarity between combinatorial problems solid...
Summary We present EcForest, an extractive summarization model through Enhanced Sentence Embedding and Cascade Forest. representation is of great significance for many methods. Bag‐of‐words mostly fails to grasp the semantics, typical embedding models cannot capture more complex semantic features, such as polysemy meaning a phrase, which usually ignored by simply averaging word embeddings included in sentence. To this end, we propose (ESE) solve drawbacks via mapping several valid features...
Since the amount of information on internet is growing rapidly, it not easy for a user to find relevant his/her query.To tackle this issue, much attention has been paid Automatic Document Summarization.The key point in any successful document summarizer good representation.The traditional approaches based word overlapping mostly fail produce that kind representation.Word embedding, distributed representation words, shown an excellent performance allows words match semantic level.Naively...
Myosins play essential roles in migration, cytokinesis, endocytosis, and adhesion. They are composed of a large N-terminal motor domain with ATPase actin binding sites C-terminal neck tail regions, whose functional structural context the protein less well characterized. The regions myosins I, IV, VII, XII, XV each contain putative SH3 that may be involved protein-protein interactions. domains reported to bind proline-rich motifs, especially "PxxP" sequences, such interactions serve...
Although there were intensive works addressed on multivariate extraction of the informative components from numerous physicochemical parameters amino acids in isolated state, various conformational behaviors complicated biological context have long been underappreciated field quantitative structure-activity relationship (QSAR). In this work, acid rotamers, which derived statistical survey protein crystal structures, used to reproduce variety side-chains real condition. procedure, these...