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Impact of radiation and heat source/sink on dissipative MHD mixed convection flow of casson nanofluid over a stretching sheet with chemical reaction

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Journal of Radiation Research and Applied sciences 2025年第3期18卷

作者： Jayaramireddy Konda Charankumar Ganteda Zabidin Salleh Indira Sundaram Mustafa Inc B. Ramakrishna Saiful Islam Vediyappan Govindan Department of Mathematics Koneru Lakshmaiah Education Foundation (KLEF) Vaddeswaram 522302 India Special Interest Group on Modelling and Data Analytics Faculty of Computer Science and Mathematics Universiti Malaysia Terengganu Kuala Nerus Terengganu 21030 Malaysia Department of Humanities and Sciences CVR College of Engineering Mangal Ally Hyderabad 501510 Telangana India Department of Mathematics Firat University 23119 Elazig Turkiye Department of Computer Engineering Biruni University 34010 Istanbul Turkiye Department of Mechanical Engineering Aditya Institute of Technology and Management Tekkali 532201 India Civil Engineering Department College of Engineering King Khalid University Abha 61421 Saudi Arabia Department of Mathematics Hindustan Institute of Technology and Science Chennai India

This study presents a numerical investigation of transverse magnetohydrodynamic (MHD) Casson nanofluid (CNF) flow over a nonlinear expanding surface, considering the effects of thermal radiation, heat generation/absorption, and chemical reactions. The research is significant due to its applications in biomedical engineering, polymer manufacturing, and industrial cooling systems, where precise control of heat and mass transfer is essential. The Casson fluid model is adopted to account for non-Newtonian behavior, and the effects of Brownian motion and thermophoresis are incorporated to enhance the understanding of nanoparticle transport mechanisms. The governing boundary-layer equations are converted into ordinary differential equations (ODEs) using similarity transformations. The Homotopy analysis method (HAM) is employed to obtain analytical solutions, providing a deeper insight into the parametric effects on flow characteristics. The study examines the influence of various parameters, including the Casson fluid parameter, Prandtl number (PN) (Pr), magnetic field parameter (M), Brownian motion parameter (Nb), nonlinear stretching parameter (n), Lewis number ( Le ), thermophoresis parameter (Nt), and chemical reaction rate, on velocity, temperature, and concentration distributions. Unlike previous studies, the PN is treated as a variable parameter to account for temperature-dependent viscosity variations. The findings reveal that increasing the Casson parameter reduces velocity due to enhanced fluid viscosity, while higher magnetic field strength suppresses flow due to Lorentz force effects. Additionally, Brownian motion and thermophoresis significantly impact temperature and nanoparticle concentration profiles, highlighting their importance in nanofluid transport. The study also presents graphical and tabular analyses of skin friction, heat transfer rate, and mass transfer rate, demonstrating their variations with key governing parameters. These results provide valu

关键词： Casson nanofluid Magnetic field Expanding sheet Radiation Heat source Substance response HAM

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A comparison of content-based tag recommendations in folksonomy systems

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Lecture Notes in computer science

作者： Illig, Jens Hotho, Andreas Jäschke, Robert Stumme, Gerd Knowledge and Data Engineering Group Department of Mathematics and Computer Science University of Kassel Wilhelmshöher Allee 73 34121 Kassel Germany Research Center L3S Appelstraße 9a 30167 Hannover Germany

ISBN: (纸本)9783642221392

Recommendation algorithms and multi-class classifiers can support users of social bookmarking systems in assigning tags to their bookmarks. Content based recommenders are the usual approach for facing the cold start problem, i.e., when a bookmark is uploaded for the first time and no information from other users can be exploited. In this paper, we evaluate several recommendation algorithms in a cold-start scenario on a large real-world dataset. © 2011 Springer-Verlag.

关键词： computers

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RDF spreadsheet editor: Get (G)rid of your RDF data entry problems

RDF spreadsheet editor: Get (G)rid of your RDF data entry pr...

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2017 ISWC Posters and Demonstrations and Industry Tracks, ISWC-P and D-Industry 2017

作者： Schröder, Markus Jilek, Christian Hees, Jörn Hertling, Sven Dengel, Andreas GmbH Trippstadter Straße 122 Kaiserslautern67663 Germany Data and Web Science Group University of Mannheim Germany Knowledge-Based Systems Group Department of Computer Science University of Kaiserslautern P.O. Box 3049 Kaiserslautern67653 Germany

Spreadsheets are widely used by knowledge workers, especially in the industrial sector. Their methodology enables a well understood, easy and fast possibility to enter data. As filling out a spreadsheet is more accessible to common knowledge workers than defining RDF statements, in this paper, we present a tool which uses the spreadsheet metaphor to enable various kinds of users to easily create RDF data whether they are RDF experts or novices. Our approach aims at supporting users in manually filling a knowledge base with their expertise. This is usually a collaborative process involving a team of domain experts and knowledge engineers. To immediately see modelling consequences and updates by others, each entry is simultaneously transferred into triple statements.

关键词： Spreadsheets

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Preferential semantics for causal fixpoints 10th

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10th Australian Joint Conference on Artificial Intelligence, AI 1997

作者： Peppas, Pavlos Pagnucco, Maurice Prokopenko, Mikhail Foo, Norman Knowledge Systems Group Department of Computing School of MPCE Macquarie University NSW2109 Australia Knowledge Systems Group School of Computer Science and Engineering University of New South Wales NSW2052 Australia Knowledge Systems Group CSIRO Mathematical and Information Sciences Locked Bag 17 North RydeNSW2113 Australia

ISBN: (纸本)3540637974

In this paper we concentrate on the causal theory of action developed by McCain and Turner [2] for computing ramifications. Our aim here is to characterise this theory of action in terms of a preferentialstyle semantics in the spirit of Shoham [4]. Such a result would not only place McCain and Turner's theory in a uniform setting, facilitating comparison with other logics of action, but also give a clearer insight into the nature and behaviour of causality captured by their framework. We first show that this objective is not attainable via a traditional preferential semantics. However, preferential semantics is not abandoned entirely. Rather, it is augmented to arrive at the desired result. We maintain that two components — minimal change and causality — are essential in providing a (concise) solution to the frame and ramification problems. © Springer-Verlag Berlin Heidelberg 1997.

关键词： Semantics

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Exploring the Role of Generative AI in Constructing knowledge Graphs for Drug Indications with Medical Context 15

Exploring the Role of Generative AI in Constructing Knowledg...

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15th International Conference on Semantic Web Applications and Tools for Health Care and Life sciences, SWAT4HCLS 2024

作者： Alharbi, Reham Ahmed, Umair Dobriy, Daniil Lajewska, Weronika Menotti, Laura Saeedizade, Mohammad Javad Dumontier, Michel Department of Computer Science University of Liverpool Liverpool United Kingdom School of Science and Technology University of Camerino Camerino Italy Institute for Data Process and Knowledge Management Vienna University of Economics and Business Vienna Austria Department of Electrical Engineering and Computer Science University of Stavanger Stavanger Norway Department of Information Engineering University of Padua Padova Italy Department of Computer Science Linköping University Linköping Sweden Institute of Data Science Maastricht University Maastricht Netherlands

The medical context for a drug indication provides crucial information on how the drug can be used in practice. However, the extraction of medical context from drug indications remains poorly explored, as most research concentrates on the recognition of medications and associated diseases. Indeed, most databases cataloging drug indications do not contain their medical context in a machine-readable format. This paper proposes the use of a large language model for constructing DIAMOND-KG, a knowledge graph of drug indications and their medical context. The study 1) examines the change in accuracy and precision in providing additional instruction to the language model, 2) estimates the prevalence of medical context in drug indications, and 3) assesses the quality of DIAMOND-KG against NeuroDKG, a small manually curated knowledge graph. The results reveal that more elaborated prompts improve the quality of extraction of medical context;71% of indications had at least one medical context;63.52% of extracted medical contexts correspond to those identified in NeuroDKG. This paper demonstrates the utility of using large language models for specialized knowledge extraction, with a particular focus on extracting drug indications and their medical context. We provide DIAMOND-KG as a FAIR RDF graph supported with an ontology. Openly accessible, DIAMOND-KG may be useful for downstream tasks such as semantic query answering, recommendation engines, and drug repositioning research. © 2024 Copyright for this paper by its authors.

关键词： knowledge graph

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Evaluating Natural Language Descriptions Generated in a Workspace-Based Architecture 12

Evaluating Natural Language Descriptions Generated in a Work...

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12th International Conference on Computational Creativity, ICCC 2021

作者： Wright, George A. Purver, Matthew Cognitive Science Research Group School of Electronic Engineering and Computer Science Queen Mary University of London United Kingdom Department of Knowledge Technologies Jožef Stefan Institute Ljubljana Slovenia

ISBN: (纸本)9789895416035

This paper concerns the evaluation of a workspace architecture for generating natural language descriptions, including methods for evaluating both its output and its own self-evaluation. Herein are details of preliminary results from evaluation of an early iteration of the architecture operating in the domain of weather. The domain is not typically seen as creative, but provides a simple testbed for the architecture and evaluation methodology. The program does not yet match humans in terms of fluency of language, factual correctness, and how completely the input is described, but human judges did find the program’s output easier to read than human generated texts. Planned improvements to the program also described in the paper will incorporate self-monitoring and better self-evaluation with the aim of producing descriptions that are more fluently written and more accurate. © ICCC *** rights reserved.

关键词： Architecture

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CoRAL: a Context-aware Croatian Abusive Language dataset 2

CoRAL: a Context-aware Croatian Abusive Language Dataset

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2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, AACL-IJCNLP 2022

作者： Shekhar, Ravi Karan, Mladen Purver, Matthew Cognitive Science Research Group School of Electronic Engineering & Computer Science Queen Mary University of London United Kingdom Department of Knowledge Technologies Jo ef Stefan Institute Ljubljana Slovenia

ISBN: (纸本)9781959429043

In light of unprecedented increases in the popularity of the internet and social media, comment moderation has never been a more relevant task. Semi-automated comment moderation systems greatly aid human moderatorsby either automatically classifying the examples or allowing the moderators to prioritizewhich comments to consider first. However,the concept of inappropriate content is oftensubjective, and such content can be conveyedin many subtle and indirect ways. In this work,we propose CoRAL1 a language and culturally aware Croatian Abusive dataset covering phenomena of implicitness and relianceon local and global context. We show experimentally that current models degrade whencomments are not explicit and further degradewhen language skill and context knowledgeare required to interpret the comment. © AACL-IJCNLP *** rights reserved

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It’s Time to Consider ‘Time’ when Evaluating Recommender-System Algorithms [Proposal]

arXiv

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arXiv 2017年

作者： Beel, Joeran Trinity College Dublin Department of Computer Science and Statistics Knowledge and Data Engineering Group ADAPT Centre Ireland

In this position paper, we question the current practice of calculating evaluation metrics for recommender systems as single numbers (e.g. precision p=.28 or mean absolute error MAE = 1.21). We argue that single numbers express only average effectiveness over usually a rather long period (e.g. a year or even longer). This practice provides only a vague and static view of the data. We propose that recommender-system researchers should instead calculate metrics for time-series such as weeks or months, and plot the results in e.g. a line chart. This way, results show how algorithms’ effectiveness develops over time, and hence the results allow drawing more meaningful conclusions about how an algorithm will perform in the future. In this paper, we explain our reasoning, provide an example to illustrate our reasoning and present suggestions for what the community should do next. Copyright © 2017, The Authors. All rights reserved.

关键词： Recommender systems

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A study in the expressiveness of semantically different policy modelling schemes

A study in the expressiveness of semantically different poli...

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IFIP/IEEE International Symposium on Integrated Network Management

作者： Christos Tsarouchis Declan O'Sullivan David Lewis Knowledge & Data Engineering Group (KDEG) Department of Computer Science & Statistics Trinity College Dublin Dublin Ireland

ISBN: (纸本)9781424492190

Policy engineering is the process of authoring IT management policies, detecting and resolving policy conflicts and revising existing policies to accommodate changing IT resources, business goals and business processes. Policy authoring is often followed by policy enforcement where the actions specified by subjects are performed on targets (resources). In this paper, we study the use of semantically enhanced techniques, such as ontologies, to model resources and their corresponding actions, coupled with a mechanism that can accommodate frequent organizational change, to model policy subjects. For the modeling of policy subjects, the rule-based Community-based Policy management will be used. This integration falls into the category of combining Description Logics (DL) and Logic Programs (LP). We aim to study this integration primarily from the scope of overall system expressivity, but also from the scope of minimizing the cognitive load perceived by policy authors. Such an evaluation can help determine shortfalls in the design of the software system or of the policy model used. To study the balance in modeling with DL and LP techniques, the encoding of part of the Trinity College Dublin statutes will be performed, which is a sufficiently complex real-world example.

关键词： OWL Load modeling Ontologies Welding Analytical models Security Fires

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Information retrieval in folksonomies: Search and ranking

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3rd European Semantic Web Conference, ESWC 2006

作者： Hotho, Andreas Jäschke, Robert Schmilz, Christoph Stumme, Gerd Knowledge and Data Engineering Group Department of Mathematics and Computer Science University of Kassel Wilhelmshöher Allee 73 D-34121 Kassel Germany Research Center L3S Expo Plaza 1 D-30539 Hannover Germany

ISBN: (纸本)3540345442

Social bookmark tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. The reason for their immediate success is the fact that no specific skills are needed for participating. At the moment, however, the information retrieval support is limited. We present a formal model and a new search algorithm for folksonomies, called FolkRank, that exploits the structure of the folksonomy. The proposed algorithm is also applied to find communities within the folksonomy and is used to structure search results. All findings are demonstrated on a large scale dataset. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Information retrieval systems

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