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A study on value chain of mushroom for value addition: challenges, opportunities and prospects of cultivation of mushroom

This research was carried out with an objective of studying the existing mushroom value chain, identifying demand-supply gap, carrying out SWOT analysis to explore challenges, proposing action plan and presenting finally standard operating procedure for enhancing value chain effectiveness. Data was collected from 71 actors identified in the oyster mushroom value chain in Tumakuru Taluk, Karnataka State, India and analysed. Analysis showed that there were five different models of value chain, and the shortest value chain was the most profitable one. Based on the respondents' perceptions, mushroom cultivation offers many opportunities such as creating employment, improving economic condition and diet. Meanwhile they face challenges like, pest attack, hike in input materials' prices, lack of technical guidance during farming, finance support, inefficient marketing system. There is a need to address demand-supply gap, invest more in facilities and related research, integrate all the actors in value chain to enhance productivity.




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A prototype for intelligent diet recommendations by considering disease and medical condition of the patient

The patient must follow a good diet to lessen the risk of health conditions. The body needs vitamins, minerals, and nutrients for illness prevention. When the human body does not receive the right amount of nutrients, nutritional disorders can develop, which can cause a number of different health issues. Chronic diseases like diabetes and hypertension can be brought on by dietary deficiencies. The human body receives the nutrients from a balanced diet to function properly. This research has a prototype that enables patients to find nutritious food according to their health preferences. It suggests meals based on their preferences for nutrients such as protein, fibre, high-fibre, low-fat, etc., and diseases such as pregnancy and diabetes. The process implements the recommendation based on the patient's profile (content-relied, K-NN), recommendation relied on patients with similar profiles, and recommendation based on the patient's past or recent activity.




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Sheer Curation of Experiments: Data, Process, Provenance

This paper describes an environment for the “sheer curation” of the experimental data of a group of researchers in the fields of biophysics and structural biology. The approach involves embedding data capture and interpretation within researchers' working practices, so that it is automatic and invisible to the researcher. The environment does not capture just the individual datasets generated by an experiment, but the entire workflow that represent the “story” of the experiment, including intermediate files and provenance metadata, so as to support the verification and reproduction of published results. As the curation environment is decoupled from the researchers’ processing environment, the provenance is inferred from a variety of domain-specific contextual information, using software that implements the knowledge and expertise of the researchers. We also present an approach to publishing the data files and their provenance according to linked data principles by using OAI-ORE (Open Archives Initiative Object Reuse and Exchange) and OPMV.




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Building the Hydra Together: Enhancing Repository Provision through Multi-Institution Collaboration

In 2008 the University of Hull, Stanford University and University of Virginia decided to collaborate with Fedora Commons (now DuraSpace) on the Hydra project. This project has sought to define and develop repository-enabled solutions for the management of multiple digital content management needs that are multi-purpose and multi-functional in such a way as to allow their use across multiple institutions. This article describes the evolution of Hydra as a project, but most importantly as a community that can sustain the outcomes from Hydra and develop them further. The data modelling and technical implementation are touched on in this context, and examples of the Hydra heads in development or production are highlighted. Finally, the benefits of working together, and having worked together, are explored as a key element in establishing a sustainable open source solution.




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Agricultural informatics: emphasising potentiality and proposed model on innovative and emerging Doctor of Education in Agricultural Informatics program for smart agricultural systems

International universities are changing with their style of operation, mode of teaching and learning operations. This change is noticeable rapidly in India and also in international contexts due to healthy and innovative methods, educational strategies, and nomenclature throughout the world. Technologies are changing rapidly, including ICT. Different subjects are developed in the fields of IT and computing with the interaction or applications to other fields, viz. health informatics, bio informatics, agriculture informatics, and so on. Agricultural informatics is an interdisciplinary subject dedicated to combining information technology and information science utilisation in agricultural sciences. The digital agriculture is powered by agriculture informatics practice. For teaching, research and development of any subject educational methods is considered as important and various educational programs are there in this regard viz. Bachelor of Education, Master of Education, PhD in Education, etc. Degrees are also available to deal with the subjects and agricultural informatics should not be an exception of this. In this context, Doctor of Education (EdD or DEd) is an emerging degree having features of skill sets, courses and research work. This paper proposed on EdD program with agricultural informatics specialisation for improving healthy agriculture system. Here, a proposed model core curriculum is also presented.




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An empirical study on the nexus among the prices of commodities: an ARDL and bound test approach

This study investigates the nexus among the commodities: bitcoin, copper, gold, silver, crude oil, and iron ore. Previous studies on establishing the plausibility and the dynamic nexus among commodities are rare. This research attempts to fill this gap. This study investigates whether there are long-term and short-term links between commodities for the period 2010-2022 by applying the bounds testing method to co-integration and ECM, built using an ARDL model and establishing both short-term and long-term relationships among the economic variables analysed. The ECM confirmed the presence of some co-integration relationship for all the variables, both in the short and long term. A strong correlation was discovered among the commodities, which were greatly influenced by their lagged values. The results of this study provides an opportunity for policymakers and researchers to understand the nature of the relationship between the analysed variables and further support the development of new policies for economic sustainability.




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Performance improvement in inventory classification using the expectation-maximisation algorithm

Multi-criteria inventory classification (MCIC) is popularly used to aid managers in categorising the inventory. Researchers have used numerous mathematical models and approaches, but few resorted to unsupervised machine-learning techniques to address MCIC. This study uses the expectation-maximisation (EM) algorithm to estimate the parameters of the Gaussian mixture model (GMM), a popular unsupervised machine learning algorithm, for ABC inventory classification. The EM-GMM algorithm is sensitive to initialisation, which in turn affects the results. To address this issue, two different initialisation procedures have been proposed for the EM-GMM algorithm. Inventory classification outcomes from 14 existing MCIC models have been given as inputs to study the significance of the two proposed initialisation procedures of the EM-GMM algorithm. The effectiveness of these initialisation procedures corresponding to various inputs has been analysed toward inventory management performance measures, i.e., fill rate, total relevant cost, and inventory turnover ratio.




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Information Security Management: A Research Project




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Logical Soft Systems Methodology for Education Programme Development




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Towards a Structural Model Connecting Hard Skills, Soft Skills and Job Conditions and the IS Professional: The Student Perspective




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The Evaluation of a Computer Ethics Program




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Returning the ‘I’ in the ‘IT’ Education of MScIS/MBA Professionals




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A Markov Decision Process Model for Traffic Prioritisation Provisioning




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A Data Model Validation Approach for Relational Database Design Courses




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Action-Guidance: An Action Research Project for the Application of Informing Science in Educational and Vocational Guidance




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Do Project Manager’s Utilise Potential Customers in E-Commerce Developments?




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Retrofitting Generic Graduate Attributes: A Case-Study of Information Systems Undergraduate Programs




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Insights into Using Agile Development Methods in Student Final Year Projects




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Searching for Tomorrow's Programmers




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A Web Services-Oriented Approach to Unlock Information




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ERP Systems and User Perceptions: An Approach for Implementation Success




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A Case to Do Empirical Study Using Educational Projects




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Project-Based Learning in Online Postgraduate Education




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Collaborative Work Skills for the Beginning IS Professional




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A Single Case Study Approach to Teaching: Effects on Learning and Understanding




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Promoting Fusion in the Business-IT Relationship




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Guiding Students Learning Project Team Management from Their Own Practice




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Behavioural Issues in Software Development: The Evolution of a New Course Dealing with the Psychology of Computer Programming




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Working in a Group before Meeting Face-to-Face – A Case of International Student Online Project




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Web ACE – A Study in Reciprocal Informing




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Online Handwritten Character Recognition Using an Optical Backpropagation Neural Network




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An Actor Network Approach to Informing Clients through Portals




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Accommodating Soft Skills in Software Project Management




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An Assessment of Software Project Management Maturity in Mauritius




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Design, Development and Deployment Considerations when Applying Native XML Database Technology to the Programme Management Function of an SME




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Resistance to Electronic Medical Records (EMRs): A Barrier to Improved Quality of Care




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Progressive Programming Assignments




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An Overview: Approaches for the Development of Basic IT Skills




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Towards an Information System Making Transparent Teaching Processes and Applying Informing Science to Education




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A Profile of Digital Information Literacy Competencies of High School Students




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Analysis of Information Systems Management (post)Graduate Program: Case Study of Faculty of Economics, University of Ljubljana, Slovenia




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Integrating Sun Certification Objectives into an IS Programming




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The Peer Reviews and the Programming Course




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A Doctorate Degree Program in Information Systems of a Kind




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Common Approaches to Patenting New E-commerce Business Models (a Case Study)




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New Pathways to Learning: The Team Teaching Approach. A Library and Information Science Case Study




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Talking Past Each Other - Staff and Student Reflection in Undergraduate Software Projects




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Modeling Human Activity Systems for Collaborative Project Development: An IS Development Perspective




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A Beginning Specification of a Model for Evaluating Learning Outcomes Grounded in Java Programming Courses




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Degrading Grades - Do Graduate Grades Provide a Useful Guide to Potential ICT Employers?