检索结果-内蒙古大学图书馆

20th Annual ACM Symposium on Applied Computing

作者： Cui, Chunhua Kitagawa, Hiroyuki Master's Program in Science and Engineering University of Tsukuba Graduate School of Systems and Information Engineering Center for Computational Sciences University of Tsukuba

ISBN: (纸本)9781581139648

With the advance of network technology in recent years, the dissemination and exchange of massive documents has become commonplace. Accordingly, the importance of content analysis techniques is increasing. Topic analysis in large-scale document streams such as E-mails and news articles is an important research issue. This paper addresses techniques for "topic activation analysis" for document streams. For example, when news articles with a strong relationship to a given topic arrive frequently in a news stream, we can regard the activation level of the topic as high. In [I], Kleinberg proposed a method for analyzing document streams. Although the main objective of his method was to detect bursts of topics, it can also be used for topic activation analysis. His method, however, has a serious limitation in that it only looks at the arrival rate of documents and ignores the degree of relevance for each document. Another limitation is that his method is "batch-oriented." This paper first proposes a novel topic activation analysis scheme that incorporates both document arrival rate and relevance to address the first problem. It then presents an incremental scheme more appropriate for a document streaming environment. The proposed schemes are validated by experiments using real CNN news articles. Copyright 2005 ACM.

关键词： Computer networks

来源：评论

学校读者我要写书评

暂无评论

B(s)→D(s)(*)M decays in the presence of final-state interactions

引用

Physical Review D 2025年第9期111卷 095020-095020页

作者： Albertus Hariwangsa Panuluh Satoshi Tanaka Hiroyuki Umeeda Department of Physics Education Faculty of Teacher Training and Education Sanata Dharma University Paingan Maguwohardjo Sleman Yogyakarta 55282 Indonesia Physics Program Graduate School of Advanced Science and Engineering Hiroshima University 1-3-1 Kagamiyama Higashi-Hiroshima 739-8526 Japan Scientific Computational Division Nippon Advanced Information Service (NAIS Co. Inc.) 416 Muramatsu Tokaimura Naka-gun Ibaraki 319-1112 Japan Center for Theoretical Physics and College of Physics Jilin University Changchun 130012 China China Center of Advanced Science and Technology Beijing 100190 China Institute of High Energy Physics Chinese Academy of Sciences Beijing 100049 China

In light of the recent data for B¯(s)→D(s)(*)P and B¯(s)→D(s)V decays, we perform a model-independent phenomenological analysis in the presence of quasielastic rescattering. With the Wilson coefficients including contributions beyond the standard model, the lifetimes of the B meson and Bd0−B¯d0 mixing are investigated to clarify correlations among the observables. We show that parameter regions for quasielastic rescattering, the size of color-suppressed tree amplitudes, and new physics are constrained due to the lifetime data. As a consequence, it is revealed that this scenario can be tested by the future LHCb measurement of the width difference in Bd0−B¯d0 mixing and semileptonic CP asymmetry.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Thermomechanical Characterization of Hot Surface Ignition Device Using Phenomenological Heat Flux Model

引用

JOURNAL OF PROPULSION AND POWER 2022年第4期38卷 656-670页

作者： Kang, Sang-Guk Ryu, Je Ir Motily, Austen H. Numkiatsakul, Prapassorn Lee, Tonghun Kriven, Waltraud M. Kim, Kenneth S. Kweon, Chol-Bum M. U.S. Army Research Laboratory Aberdeen Proving Ground MD 21005 Aerospace Engineer Weapons and Materials Research Directorate Postdoctoral Fellow Computational and Information Sciences Directorate University of Illinois at Urbana-Champaign Urbana IL 61801 Graduate Student Department of Mechanical Science and Engineering. Student Member AIAA Graduate Student Department of Materials Science and Engineering Professor Department of Mechanical Science and Engineering. Associate Fellow AIAA Professor Department of Materials Science and Engineering Mechanical Engineer Computational and Information Sciences Directorate. Member AIAA Program Manager Computational and Information Sciences Directorate. Member AIAA.

Modern aircraft compression ignition engines that seek to achieve fuel-flexible operation require ignition-assisting devices to perform reliably. Many military propulsion systems, and unmanned aircraft in particular, can use hot surface energy addition to improve engine performance. An analysis of the thermomechanical stress behavior of hot surface ignition devices is therefore critical to ensure that they can satisfy new operational requirements. In this paper, a phenomenological heat-flux model is proposed to simulate heat generation inside a heating element. Two finite element analysis models are established using the proposed heat-flux model in order to characterize the transient thermomechanical behavior of an ignition assistant: a two-dimensional (2-D) axisymmetric model with an equivalent cylindrical heating element and a three-dimensional (3-D) solid model with realistic heating element geometry. The transient behavior of the ignition assistant is investigated at standard conditions by characterizing the temperature and thermal stress inside the device for various input voltages. The effect of the nonaxisymmetric heating element geometry on the temperature and thermal stress distribution is assessed. Furthermore, the 3-D ignition assistant model is used to analyze the thermomechanical behavior of an ignition device subjected to a combustion event inside a rapid compression machine. Multiple circumferential orientations of the heating element plane relative to the spray axis are investigated. Results demonstrate that the observed maximum principal stress depends significantly on heating element orientation.

关键词： Heat Flux Stress Distribution Heat Generation Unmanned Aerial Vehicle Propulsion System Surface Energy Adaptive Mesh Refinement Fuel Injection CFD Simulation Fracture Toughness

来源：评论

学校读者我要写书评

暂无评论

State of the Art Models for Fake News Detection Tasks

State of the Art Models for Fake News Detection Tasks

引用

2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies, ICIoT 2020

作者： Antoun, Wissam Baly, Fady Achour, Rim Hussein, Amir Hajj, Hazem American University of Beirut Electrical and Computer Engineering Department Beirut Lebanon Graduate Program in Computational Science American University of Beirut Beirut Lebanon

ISBN: (数字)9781728148212

ISBN: (纸本)9781728148212

This paper presents state of the art methods for addressing three important challenges in automated fake news detection: fake news detection, domain identification, and bot identification in tweets. The proposed solutions achieved first place in a recent international competition on fake news. For fake news detection, we present two models. The winning model in the competition combines similarity between the embedding of each article's title and the embedding of the top five corresponding google search results. The new model relies on advances in Natural Language Understanding (NLU) end to end deep learning models to identify stylistic differences between legitimate and fake news articles. This second model was developed after the competition and outperforms the winning approach. For news domain detection, the winning model is a hybrid approach composed of named entity features concatenated with semantic embeddings derived from end to end models. For twitter bot detection, we propose to use the following features: duration between account creation and tweet date, presence of a tweet's link, presence of user's location, other tweet's features, and the tweets' metadata. Experiments include insights into the importance of the different features and the results indicate the superior performances of all proposed models. © 2020 IEEE.

关键词： Competition

来源：评论

学校读者我要写书评

暂无评论

A cross-sectional study on gut microbiota and inflammation in patients with chronic kidney disease

引用

The American journal of the medical sciences 2025年

作者： Bruna R Paiva Júnia Schultz Fluvio Modolon Jessyca S de Brito Julie A Kemp Marcia Ribeiro Marcelo Ribeiro-Alves Lia S Nakao Drielly Vargas Beatriz G Baptista Larissa Fonseca Livia Alvarenga Intikhab Alam Roberto Incitti Alexandre Soares Rosado Ludmila F M F Cardozo Denise Mafra Graduate Program in Cardiovascular Sciences Fluminense Federal University (UFF) Niterói RJ Brazil. Bioscience Program Biological and Environmental Science and Engineering (BESE) Division King Abdullah University of Science and Technology (KAUST) Thuwal Makkah 23955 Saudi Arabia. Oceanographic Institute University of São Paulo São Paulo SP Brazil. Graduate Program in Biological Sciences - Physiology Federal University of Rio de Janeiro (UFRJ) Rio de Janeiro RJ Brazil. Graduate Program in Nutrition Sciences Fluminense Federal University (UFF) Niterói RJ Brazil. HIV/AIDS Clinical Research Center National Institute of Infectology Evandro Chagas (INI/Fiocruz) Rio de Janeiro RJ Brazil. Department of Basic Pathology Federal University of Paraná Curitiba PR Brazil. Graduate Program in Medical Sciences Fluminense Federal University (UFF) Niterói RJ Brazil. Graduate Program in Biological Sciences - Physiology Federal University of Rio de Janeiro (UFRJ) Rio de Janeiro RJ Brazil Computational Bioscience Research Center Biological and Environmental Science and Engineering (BESE) Division King Abdullah University of Science and Technology (KAUST) Thuwal Makkah 23955 Saudi Arabia. Graduate Program in Cardiovascular Sciences Fluminense Federal University (UFF) Niterói RJ Brazil Graduate Program in Nutrition Sciences Fluminense Federal University (UFF) Niterói RJ Brazil Graduate Program in Medical Sciences Fluminense Federal University (UFF) Niterói RJ Brazil. Electronic address: dmafra30@***.

BACKGROUND:This study investigated the inflammatory and gut microbiota profile in chronic kidney disease (CKD) patients undergoing hemodialysis (HD) and peritoneal dialysis (PD). METHODS:A total of 249 patients undergoing HD and 61 patients on PD participated in the study. The mRNA expressions of nuclear factor erythroid 2-related factor-2 (NRF2), nuclear factor-κappa B (NF-κB), mitochondrial transcription factor A (TFAM), peroxisome proliferator-activated receptor-gamma coactivator 1-alpha (PGC-1α) were evaluated in peripheral blood mononuclear cells (PBMCs) by quantitative real-time PCR. Malondialdehyde (MDA), interleukin 6 (IL-6), and routine biochemical parameters were also analyzed. The fecal DNA extraction was performed, and the V4 regions of the bacterial 16S ribosomal RNA gene were sequenced. Uremic toxins such as p-cresyl sulfate (p-CS), indoxyl sulfate (IS), and indole-3-acetic acid (IAA) plasma levels were determined by HPLC. RESULTS:MDA, IS, and p-CS levels were lower in PD than in HD patients. The mRNA expression of the transcription factors was not different between groups. Gut microbial α-diversity indices showed no significant difference between groups, but the β-diversity was different in PD patients. Members of the genera Meditarraneibacter, Roseburia, Agathobacter, Anaerobutyricum, Collinsella, Streptococcus, Clostridium, and Bacteroides, as well as the families Lachnospiraceae and Enterobacteriaceae, appear to be positively correlated with most dietary factors, particularly lipid and phosphorus intake. CONCLUSION:Our findings indicate that in patients with CKD on HD, there is increased plasma retention of uremic toxins and reduced gut microbial diversity compared to PD patients.

关键词： chronic kidney disease gut microbiota inflammation mitochondrial dysfunction oxidative stress

来源：评论

学校读者我要写书评

暂无评论

ChemicalUniverseMachine I: Uncovering the Cosmic Evolution of Metals in the Galaxy-ISM-CGM Ecosystem

arXiv

引用

arXiv 2025年

作者： Nishigaki, Moka Behroozi, Peter Ouchi, Masami Guo, Hong Somerville, Rachel S. Gallazzi, Anna R. Nakajima, Kimihiko Watanabe, Kuria National Astronomical Observatory of Japan 2-21-1 Osawa Mitaka Tokyo181-8588 Japan Department of Astronomical Science The Graduate University for Advanced Studies SOKENDAI 2-21-1 Osawa Mitaka Tokyo181-8588 Japan Department of Astronomy Steward Observatory University of Arizona TucsonAZ85721 United States Institute for Cosmic Ray Research The University of Tokyo 5-1-5 Kashiwanoha Chiba Kashiwa277-8582 Japan Astronomical Science Program Graduate Institute for Advanced Studies SOKENDAI 2-21-1 Osawa Mitaka Tokyo181-8588 Japan The University of Tokyo 5-1-5 Kashiwanoha Chiba Kashiwa277-8583 Japan Shanghai Astronomical Observatory Chinese Academy of Sciences Shanghai200030 China Center for Computational Astrophysics Flatiron Institute 162 5th Avenue New YorkNY10010 United States INAF-Osservatorio Astrofisico di Arcetri Largo Enrico Fermi 5 FirenzeI-50125 Italy Institute of Liberal Arts and Science Kanazawa University Kakuma-machi Ishikawa Kanazawa920-1192 Japan

We present an empirical chemical evolution model that explains the distribution of metals in the interstellar medium (ISM) and the circumgalactic medium (CGM) of galaxies based on the UniverseMachine and NeutralUniverseMachine models in the framework of ΛCDM structure formation. We parameterize the fractions of outflowing metals returned and mixed into the multi-phase ISM of the star-forming regions (fH2) and into the neutral gas regions (fHI);metal production, transfer, and dilution are caused by star formation, galaxy mergers, and gas inflow from the inter-galactic medium, respectively, with rates determined by the (Neutral)UniverseMachine models. Using a Markov Chain Monte Carlo algorithm, we explore the posterior distributions of metal return and mixing consistent with observed mass-metallicity relations in H ii regions (at 0 H2 + fHI, increases with halo mass from ∼ 20% at 1010M☉ to ∼ 80% at 1013M☉. These fractions increase mildly at higher redshifts, to ∼ 30% at 1010M☉ and ∼ 80% at 1013M☉ at z = 5. Interestingly, there is no significant redshift evolution of fH2 + fHI at fixed circular velocity, suggesting that metal distribution between the ISM and CGM is universally determined by the halo potential well depth. CGM metal enrichment is thus slow in high-z halos with deep potential wells. While fH2 monotonically increases with halo mass, fHI peaks at ∼ 1012 − 1013M☉, suggesting that reinfall may be inefficient in larger-mass halos. © 2025, CC BY.

关键词： Cosmology

来源：评论

学校读者我要写书评

暂无评论

Biomedical data and AI

引用

science China Life sciences 2025年第5期68卷 1536-1540页

作者： Hao Xu Shibo Zhou Zefeng Zhu Vincenzo Vitelli Liangyi Chen Ziwei Dai Ning Yang Luhua Lai Shengyong Yang Sergey Ovchinnikov Zhuoran Qiao Sirui Liu Chen Song Jianfeng Pei Han Wen Jianfeng Feng Yaoyao Zhang Zhengwei Xie Yang-Yu Liu Zhiyuan Li Fulai Jin Hao Li Mohammad Lotfollahi Xuegong Zhang Ge Yang Shihua Zhang Ge Gao Pulin Li Qi Liu Jing-Dong Jackie Han Peking-Tsinghua Center for Life Sciences (CLS) Academy for Advanced Interdisciplinary StudiesPeking University Center for Quantitative Biology (CQB) Academy for Advanced Interdisciplinary StudiesPeking University Peking University-Tsinghua University-National Institute of Biological Sciences Joint Graduate Program Academy for Advanced Interdisciplinary StudiesPeking University Department of Physics University of Chicago School of Life Sciences Southern University of Science and Technology Peking University Chengdu Academy for Advanced Interdisciplinary Biotechnologies College of Chemistry and Molecular Engineering Peking University Department of Biotherapy Cancer Center and State Key Laboratory of BiotherapyWest China HospitalSichuan University Department of Biology Massachusetts Institute of Technology Lambic Therapeutics Inc. Changping Laboratory Al for Science Institute Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence Fudan University Department of Obstetrics and Gynecology West China Second University HospitalSichuan University Peking University International Cancer Institute and Peking University-Yunnan Baiyao International Medical Institute and State Key Laboratory of Natural and Biomimetic Drugs Department of Molecular and Cellular PharmacologySchool of Pharmaceutical SciencesPeking University Health Science CenterPeking University Channing Division of Network Medicine Department of MedicineBrigham and Women's Hospital and Harvard Medical School Center for Artificial Intelligence and Modeling the Carl R.Woese Institute for Genomic BiologyUniversity of Illinois Urbana-Champaign Department of Genetics and Genome Sciences School of Medicine and Department of Computer and Data Sciences and Department of Population and Quantitative Health SciencesCase Western Reserve University Department of Biochemistry and Biophysics University of California Sanger Institute Department of Automation Tsinghua University State Key Laboratory of Multimodal Artificial Intelligence Systems I

The development of artificial intelligence(AI) and the mining of biomedical data complement each other. From the direct use of computer vision results to analyze medical images for disease screening, to now integrating biological knowledge into models and even accelerating the development of new AI based on biological discoveries, the boundaries of both are constantly expanding, and their connections are becoming closer.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Structural optimization and biological evaluation of indolin-2-one derivatives as novel CDK8 inhibitors for idiopathic pulmonary fibrosis

引用

Biomedicine and Pharmacotherapy 2025年 184卷 117891-117891页

作者： Hsu, Jui-Yi Hsu, Kai-Cheng Chou, Ching-Hsuan He, Tzu-Ying Lin, Tony Eight Sung, Tzu-Ying Yen, Shih-Chung Hsieh, Jui-Hua Yang, Chia-Ron Huang, Wei-Jan Ph.D. Program for Cancer Molecular Biology and Drug Discovery College of Medical Science and Technology Taipei Medical University and Academia Sinica Taipei Taiwan Graduate Institute of Cancer Biology and Drug Discovery College of Medical Science and Technology Taipei Medical University Taipei Taiwan Ph.D. Program for Cancer Molecular Biology and Drug Discovery College of Medical Science and Technology Taipei Medical University Taipei Taiwan Ph.D. Program in Drug Discovery and Development Industry College of Pharmacy Taipei Medical University Taipei Taiwan TMU Research Center of Cancer Translational Medicine Taipei Medical University Taipei Taiwan Cancer Center Wan Fang Hospital Taipei Medical University Taipei Taiwan School of Pharmacy College of Medicine National Taiwan University Taipei Taiwan Warshel Institute for Computational Biology School of Medicine The Chinese University of Hong Kong (Shenzhen) Shenzhen China Division of Translational Toxicology National Institute of Environmental Health Sciences National Institutes of Health Durham NC United States School of Pharmacy Taipei Medical University Taipei Taiwan

Cyclin-dependent kinase 8 (CDK8) plays a crucial role in the transforming growth factor beta (TGF-β) signaling pathway, which is critical to the pathology of idiopathic pulmonary fibrosis (IPF). CDK8 promotes the epithelial-mesenchymal transition (EMT) and excessive extracellular matrix (ECM) deposition, making it a promising target for IPF treatment. This study focused on optimizing F059–1017, a previously identified CDK8 inhibitor, to enhance its potency. Through integrated structure-based modifications, a series of compounds was synthesized, and their inhibitory effects on CDK8 were tested. Results indicated that substituting with cyclopentanone significantly improved the inhibitory activity, and compound 4j demonstrated the best potency (IC₅₀ = 16 nM). Notably, compared to F059–1017, its potency increased 35-fold, and kinase profiling revealed that the compound was selective for CDK8. Compound 4j inhibited the TGF-β1-induced EMT, cell migration, and morphological changes in A549 cells at a concentration of 0.1 μM and inhibited ECM and EMT protein expressions. In addition, the compound blocked TGF-β1-induced transcriptional changes and inhibited Smad3 and RNA polymerase II phosphorylation. These results highlight the potential of the optimized CDK8 inhibitor as a prospective drug for IPF treatment. © 2025 The Authors

关键词： Cyclin-dependent protein kinase 8 Epithelial-mesenchymal transition Indolin-2-one, Idiopathic pulmonary fibrosis Structural optimization Transforming growth factor beta

来源：评论

学校读者我要写书评

暂无评论

Cover Feature: Diversity Oriented Strategy (DOS) for the Efficient Synthesis of Benzofuro[2,3-b]pyridine Derivatives with Anticancer Activity (ChemMedChem 3/2025)

引用

ChemMedChem 2025年第3期20卷

作者： Reymark Ereje Jantana Yahuafai Theeranuch Jaroenchuensiri Patcharaporn Supakijjanusorn Sukanya Unson Borwornlak Toopradab Thanyada Rungrotmongkol Somsak Pianwanit Chanat Aonbangkhen Tanatorn Khotavivattana Center of Excellence in Natural Products Department of Chemistry Faculty of Science Chulalongkorn University Pathumwan Bangkok 10330 Thailand Department of Physical Sciences College of Science University of the Philippines Baguio Baguio City 2600 Philippines Clinical Research Section Division of Research and Academic Support National Cancer Institute Bangkok 10400 Thailand Program in Bioinformatics and Computational Biology Graduate School Chulalongkorn University Pathumwan Bangkok 10330 Thailand Center of Excellence in Computational Chemistry Department of Chemistry Faculty of Science Chulalongkorn University Pathumwan Bangkok 10330 Thailand

来源：评论

学校读者我要写书评

暂无评论

Replacing the FitzHugh-Nagumo Electrophysiology Model by Physics-Informed Neural Networks 23rd

Replacing the FitzHugh-Nagumo Electrophysiology Model by P...

引用

23rd International Conference on computational science, ICCS 2023

作者： Werneck, Yan Barbosa dos Santos, Rodrigo Weber Rocha, Bernardo Martins Oliveira, Rafael Sachetto Graduate Program in Computational Modeling Federal University of Juiz de Fora Juiz de Fora Brazil Graduate Program in Computer Science Federal University of São Jõao del Rei São Jão del Rei Brazil

ISBN: (纸本)9783031360206

This paper presents a novel approach to replace the FitzHugh-Nagumo (FHN) model with physics-informed neural networks (PINNs). The FHN model, a system of two ordinary differential equations, is widely used in electrophysiology and neurophysiology to simulate cell action potentials. However, in tasks such as whole-organ electrophysiology modeling and drug testing, the numerical solution of millions of cell models is computationally expensive. To address this, we propose using PINNs to accurately approximate the two variables of the FHN model at any time instant, any initial condition, and a wide range of parameters. In particular, this eliminates the need for causality after training. We employed time window marching and increased point cloud density on transition regions to improve the training of the neural network due to nonlinearity, sharp transitions, unstable equilibrium, and bifurcations of parameters. The PINNs were generated using NVIDIA’s Modulus framework, allowing efficient deployment on modern GPUs. Our results show that the generated PINNs could reproduce FHN solutions with average numerical errors below 0.5%, making them a promising lightweight computational model for electrophysiology and neurophysiology research. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Electrophysiology

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：