An innovative tailored instructional design for computer programming courses in engineering

Industry 4.0 and 5.0 topics are emerging fields and have seen rising demand recently. There is a critical need, on the other hand, for improved methods of instructing programming languages since a growing lack of student motivation during the pandemic has had a deleterious influence on the education of programmers. In this context, online/hybrid computer programming courses must be addressed with innovative solutions to support the field with well-educated professionals. In this paper, we present a case study to propose an innovative tailored instructional design for the online/hybrid learning environments for programming courses in engineering faculties. To develop the instructional design, the Kemp Instructional Design Model was followed. The instructional design is a result of the main outputs of the RECOM “Redesigning Introductory Computer Programming Using Innovative Online Modules” project, which aims to bridge the gap between the existing course design in programming courses and the needs of "Covid” and “post-Covid” generation students

INFORMATION SYSTEMS

This paper introduces a tool that produces structured interoperable data from product features, i.e., attribute name-value pairs, on the web. The tool extracts the product features using a web site-specific template created by the user. The value of the extracted data is maximized by using GoodRelations, which is the standard vocabulary for modeling product types and their features. The final output of the tool is GoodRelations snippets, which contain product features encoded in RDFa or Microdata. These snippets can be embedded into existing static and dynamic web pages in a way accessible to major search engines like Google and Yahoo, mobile applications, and browser extensions. This increases the visibility of your products and services in the latest generation of search engines, recommender systems, and other novel applications. (C) 2015 Elsevier Ltd. All rights reserved

JOURNAL OF INFORMATION SCIENCE

In the current Semantic Web Community, as the size and complexity of ontologies increase, ontology summarisation is becoming more important. There are many studies in the literature that use different approaches and metrics. However, many of these studies are not effective in terms of performance or have integration issues with current technologies. In this study, the popular ontology summarisation metrics are examined focusing on their performance in terms of time, and a number of metrics have been selected accordingly. To increase the accuracy of selections made with chosen metrics, we propose a novel metric: 'name inclusion'. This metric promotes a concept if its name is subsumed by the name of another concept. As the existing summarisation applications have integration issues, we have implemented our summarisation framework to integrate easily with the latest web technologies. Therefore, the algorithm is implemented using Rust language, which performs well and easily integrates with other languages

Reordering query and rule patterns for query answering in a rete-based inference engine

WISE 2005 International Workshops - Web Information Systems Engineering, WISE 2005 Workshops -- 20 November 2005 through 22 November 2005 -- New York, NY -- 67427This paper describes implementation of a Rete based OWL inference engine and an optimization heuristic on this reasoner. This optimization heuristic modifies some well known optimization heuristics in needs of Semantic Web and represents a hybrid usage of them. This work measures the performance of these heuristics using Lehigh University Benchmark test data and compares the results with other common knowledge base systems. Also, some more improvements to the system is suggested as a future work. © Springer-Verlag Berlin Heidelberg 2005

HERMOS: An Annotated Image Dataset for Visual Detection of Grape Leaf Diseases

Vineyard powdery mildew (Uncinula necator), dead arm (Phomopsis viticola) and vineyard downy mildew (Plasmopara viticola) diseases are frequently seen in the vineyards in the Gediz River Basin, West Anatolia of Turkey and cause significant damage to the crop. These diseases can be detected early using artificial intelligence-based systems that can contribute to crop yields and also reduce the labor of the farmer and the amount of pesticides used. This article presents a dataset, for use in such AI-based systems. The dataset, namely Hermos, contains four classes of grapevine images; leaves with dead root, leaves with powdery mildew, leaves with downy mildew and healthy leaves. Diseased areas on the leaf pictures were labeled with the "bounding-box" method. The dataset contains a total of 914 images and 13,904 labels. Labels on the picture are stored in Pascal VOC format in an xml document with the same file name as the picture.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

A two-dose schedule for combined hepatitis A and B vaccination in children aged 6-15 years

WOS: 000228318800007PubMed ID: 15780736A combined hepatitis A and B vaccine, Twinrix, in a paediatric formulation for ages 1-15 years and in an adult formulation for those ages 16 years and older, became commercially available in Turkey as well as in many countries. It is administered according to a three-dose schedule (0, 1 and 6 months). A reduction in the number of doses would improve the compliance rate and reduce administration costs. Therefore, we planned a trial evaluation of the immunogenicity, safety and reactogenicity profile of a high-dose combined hepatitis A and B vaccine, administered in two doses, compared with the profile of a paediatric-dose combined vaccine, administered in three doses, in healthy children aged 6-15 years. One hundred children were randomly attributed to the two study groups. The first group (paediatric-dose vaccine group) received the licensed Twinrix Paediatric, at months 0, 1 and 6; the second group (high-dose vaccine group) received the high-dose vaccine, following a 0, 6 months schedule. The reactogenicity was assessed after each vaccine dose. The immunogenicity was evaluated by testing for anti-HBs and anti-HAV antibodies. Seroconversion rates and geometric mean titres (GMTs) were compared. Both formulations of the combined vaccine were well tolerated. The high-dose combined vaccine administered in two doses, elicits satisfactory immunogenicity profiles, similar to those elicited by the paediatric vaccine administered in three doses. On completion of the vaccination schedule in the two groups all children were protected against hepatitis B and immune for hepatitis A. Anti-HAV GMTs after completion of the vaccination schedule were 7163 ml U/ml in the paediatric-dose group, 8241 ml U/ml in the high-dose group; anti-HBs GMTs were 8679 and 4583 ml U/ml, respectively. These results indicate that a two-dose schedule, compared with the standard three-dose schedule, offers fewer injections for satisfactory protection against the two infections. This means fewer clinic visits, lower administration costs, better compliance, and higher coverage rate. Therefore, this two-dose schedule can be considered an appropriate regimen for the immunization of children and adolescents against hepatitis A and B infection, in the context of school-based immunization programmes. (c) 2004 Elsevier Ltd. All rights reserved