A5047170063- Complex Network Analysis Techniques
- Semantic Web and Ontologies
- scientometrics and bibliometrics research
- Biomedical Text Mining and Ontologies
- Topic Modeling
- Bioinformatics and Genomic Networks
- Advanced Text Analysis Techniques
- Computational Drug Discovery Methods
- Service-Oriented Architecture and Web Services
- Physics of Superconductivity and Magnetism
- Machine Learning in Healthcare
- Web visibility and informetrics
- COVID-19 diagnosis using AI
- 2D Materials and Applications
- Chinese history and philosophy
- Web Data Mining and Analysis
- Advanced Graph Neural Networks
- Opinion Dynamics and Social Influence
- Natural Language Processing Techniques
- Recommender Systems and Techniques
- Advanced Condensed Matter Physics
- Advanced Database Systems and Queries
- Artificial Intelligence in Healthcare
- Scientific Computing and Data Management
- Neutrino Physics Research
The University of Texas at Austin
2019-2024
Hangzhou Dianzi University
2022-2024
Chinese Academy of Sciences
2010-2024
Institute of High Energy Physics
2016-2024
Indiana University Bloomington
2014-2024
Institute of Physics
2016-2024
Institute of Urban Environment
2024
Nanjing Agricultural University
2024
Henan Institute of Science and Technology
2024
University of Nottingham Ningbo China
2022-2024
Abstract This paper studies how varied damping factors in the PageRank algorithm influence ranking of authors and proposes weighted algorithms. We selected 108 most highly cited information retrieval (IR) area from 1970s to 2008 form author co‐citation network. calculated ranks these based on with factor ranging 0.05 0.95. In order test relationship between different measures, we compared results citation ranking, h‐index, centrality measures. found that our network, rank is correlated also...
Abstract Many studies on coauthorship networks focus network topology and statistical mechanics. This article takes a different approach by studying micro‐level properties with the aim of applying centrality measures to impact analysis. Using data from 16 journals in field library information science (LIS) time span 20 years (1988–2007), we construct an evolving calculate four (closeness centrality, betweenness degree PageRank) for authors this network. We find that are significantly...
This study explores the similarity among six types of scholarly networks aggregated at institution level, including bibliographic coupling networks, citation cocitation topical coauthorship and coword networks. Cosine distance is chosen to measure similarities The authors found that have lowest similarity; high similarity. In addition, through multidimensional scaling, two dimensions can be identified networks: D imension 1 interpreted as citation‐based versus noncitation‐based, 2 social...
Although latent factor models (e.g., matrix factorization) achieve good accuracy in rating prediction, they suffer from several problems including cold-start, non-transparency, and suboptimal recommendation for local users or items. In this paper, we employ textual review information with ratings to tackle these limitations. Firstly, apply a proposed aspect-aware topic model (ATM) on the text user preferences item features different aspects, estimate aspect importance of towards an item. The...
The topological materials have attracted much attention for their unique electronic structure and peculiar physical properties. ZrTe5 has host a long-standing puzzle on its anomalous transport properties manifested by unusual resistivity peak the reversal of charge carrier type. It is also predicted that single-layer two-dimensional insulator there possibly phase transition in bulk ZrTe5. Here we report high-resolution laser-based angle-resolved photoemission measurements detailed...
A kind of topological material, the type-II Weyl semimetal, was proposed recently where points emerge at contact electron and hole pockets, resulting in a highly tilted cone. In semimetals, Lorentz invariance is violated different type fermion generated that leads to intriguing physical properties. WTe2 interesting because it predicted be good candidate for realizing semimetals. By utilizing laser-based angle-resolved photoemission spectroscopy with high energy momentum resolutions, we have...
PubMed
Abstract Recent advances in large language models (LLMs) have demonstrated remarkable successes zero- and few-shot performance on various downstream tasks, paving the way for applications high-stakes domains. In this study, we systematically examine capabilities limitations of LLMs, specifically GPT-3.5 ChatGPT, performing zero-shot medical evidence summarization across six clinical We conduct both automatic human evaluations, covering several dimensions summary quality. Our study...
In situ growth of nanostructures on substrates is a strategy for designing highly efficient catalytic materials. Herein, multimetallic CuCoNi oxide nanowires are synthesized in three-dimensional nickel foam (NF) substrate (CuCoNi–NF) by hydrothermal method and applied to peroxydisulfate (PDS) activation as immobilized catalysts. The performance CuCoNi–NF evaluated through the degradation organic pollutants such bisphenol A (BPA) practical wastewater. results indicate that NF not only plays...
Large pre-trained language models (LLMs) have been shown to significant potential in few-shot learning across various fields, even with minimal training data. However, their ability generalize unseen tasks more complex such as biology, has yet be fully evaluated. LLMs can offer a promising alternative approach for biological inference, particularly cases where structured data and sample size are limited, by extracting prior knowledge from text corpora. Our proposed uses predict the synergy...
Recently there has been an explosion of new data sources about genes, proteins, genetic variations, chemical compounds, diseases and drugs. Integration these the identification patterns that go across them is critical interest. Initiatives such as Bio2RDF LODD have tackled problem linking biological drug respectively using RDF. Thus far, inclusion chemogenomic systems biology information crosses domains chemistry very limitedWe created a single repository called Chem2Bio2RDF by aggregating...
Thiopeptides, with potent activity against various drug-resistant pathogens, contain a characteristic macrocyclic core consisting of multiple thiazoles, dehydroamino acids, and 6-membered nitrogen heterocycle. Their biosynthetic pathways remain elusive, in spite great efforts by vivo feeding experiments. Here, cloning, sequencing, characterization the thiostrepton siomycin A gene clusters unveiled paradigm for thiopeptide specific formation, featuring ribosomally synthesized precursor...
Abstract This study comprises a suite of analyses words in article titles order to reveal the cognitive structure Library and Information Science (LIS). The use title elucidate LIS has been relatively neglected. present addresses this gap by performing (a) co‐word analysis hierarchical clustering, (b) multidimensional scaling, (c) determination trends usage terms. is based on 10,344 articles published between 1988 2007 16 journals. Methodologically, novel aspects are: its large scale,...
Nosiheptide (NOS), belonging to the e series of thiopeptide antibiotics that exhibit potent activity against various bacterial pathogens, bears a unique indole side ring system and regiospecific hydroxyl groups on characteristic macrocyclic core. Here, cloning, sequencing, characterization nos gene cluster from Streptomyces actuosus ATCC 25421 as model for this thiopeptides has unveiled new insights into their biosynthesis. Bioinformatics-based sequence analysis in vivo investigation...
Bug triaging refers to the process of assigning a bug most appropriate developer fix. It becomes more and difficult complicated as size software number developers increase. In this paper, we propose new framework for triaging, which maps words in reports (i.e., term space) their corresponding topics topic space). We specialized modeling algorithm named <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> multi-feature model (MTM)</i> extends...
The rapidly increasing amount of public data in chemistry and biology provides new opportunities for large-scale mining drug discovery. Systematic integration these heterogeneous sets provision algorithms to mine the integrated would permit investigation complex mechanisms action drugs. In this work we annotated from datasets relating drugs, chemical compounds, protein targets, diseases, side effects pathways, building a semantic linked network consisting over 290,000 nodes 720,000 edges. We...
Journal Article To Be or Not to Unique? The Effect of Social Exclusion on Consumer Choice Get access Echo Wen Wan, Wan Search for other works by this author on: Oxford Academic PubMed Google Scholar Jing Xu, Xu Ying Ding Research, Volume 40, Issue 6, 1 April 2014, Pages 1109–1122, https://doi.org/10.1086/674197 Published: 22 November 2013
We studied the time course for reversal of rifampin's effect on pharmacokinetics oral midazolam (a cytochrome P450 (CYP) 3A4 substrate) and digoxin P-glycoprotein (P-gp) substrate). Rifampin increased metabolism, greatly reducing area under concentration–time curve (AUC0–∞). The AUC0–∞ returned to baseline with a half-life ~8 days. Rifampin's AUC0–3 h was biphasic: concomitant dosing two drugs but decreased when administered after rifampin. Digoxin found be weak substrate organic...