Development of Transferable Knowledge

2021 ◽  
pp. 266-281
Author(s):  
Collence T. Chisita ◽  
Rexwhite Tega Enakrire ◽  
Masimba C. Muziringa ◽  
Agnes Chikonzo
Keyword(s):  
Knowledge Creation ◽  
Scholarly Communication ◽  
Community Outreach ◽  
Cost Effective ◽  
Data Sets ◽  
Academic Institutions ◽  
Educational Transformation ◽  
Goods And Services ◽  
Teaching Community ◽  
Knowledge Creation And Sharing

Zimbabwe has adopted Education 5.0 which is an educational transformation typified by five missions of Teaching, Community Outreach, Research, Innovation and Industrialization. The Education 5.0 seeks to produce relevant and cost effective knowledge products that results in the production of new goods and services towards the modernization and industrialization of Zimbabwe. Electronic Thesis and Dissertations (ETDs) are at the core of knowledge production by universities in Zimbabwe. ETD's are important data sets for research and development and are critical in the knowledge creation and production that must lead to innovation and industrialization driven by academic institutions. The management of e-scholarship underpins the success of academic institutions to cause the industrialization and modernization of Zimbabwe under the new transformation. The chapter explores the opportunities in managing ETDs in Zimbabwe. The chapter explored how ETD's are transforming scholarly communication landscape through knowledge creation and sharing for industrialization and modernization. The chapter highlights new transformation by academic institutions in creating and developing ETD's to be linked with innovation hubs. Furthermore, the chapter explored the extent to which academic libraries are grappling with the emerging genres of ETD's for example the use of linked data to enhance discoverability. The chapter suggested strategies to enhance the ETD's culture.

scholarly journals The price of gold: The KU Leuven Fund for Fair Open Access

2018 ◽  
Author(s):  
Demmy Verbeke ◽  
Laura Mesotten
Keyword(s):  
Open Access ◽  
Business Models ◽  
Current Model ◽  
Scholarly Communication ◽  
Cost Effective ◽  
Production Costs ◽  
Traditional Model ◽  
Academic Institutions ◽  
Research Results ◽  
Unrestricted Access

Watch the VIDEO.We need to ask ourselves why we support Open Access: is our main goal to provide free and unrestricted access to the results of scholarly research to everyone who might be interested, or is it to change the current model for scholarly communication because we consider it inefficient as well as too expensive? If our main goal is to open up research results as much as possible, there seems to be little reason to part ways with legacy publishers, who should – after initial resistance – prove to be willing partners as long as academic institutions are equally willing to pay. If, on the other hand, the intention is to introduce a new model for scholarly communication that operates according to cost-effective standards, then it seems very unlikely for academic institutions to achieve this together with the same partners, who have worked according to a commercial logic for decades. In short: do we want evolution or revolution?If we want a revolution, then it will not be brought by Green OA, which provides too little challenge for the traditional model for the publication and distribution of scholarly work. It will also not be brought by for-profit Gold OA, which is extremely expensive (even more so than the traditional model) and keeps commercial partners in control of the dissemination of research results. Therefore, an alternative model for no-profit Gold OA is on the rise, namely Fair Open Access. Publications in Fair Open Access are immediately freely available to all, are produced according to cost-effective (rather than commercial) principles and guarantee full control of researchers over the entire publication process.KU Leuven has been supporting Green OA through its institutional repository Lirias for many years already. As it is clear, however, that Green OA provides some but certainly not all of the solutions, the university was looking to intensify its efforts to maximize scholarly exchange, collaboration and innovation. This resulted in the establishment of the KU Leuven Fund for Fair Open Access in March 2018. This fund provides financial support for the production costs of OA monographs published by Leuven University Press as well as articles in selected OA journals, on the condition that these journals are published according to the Fair OA model and maintain the highest academic standards.This paper analyses current business models for OA, explains the reasoning behind the establishment of the KU Leuven Fund for Fair Open Access, discusses its day-to-day operation and presents its initial results.

scholarly journals Future of Personalized Medicine in Oncology: A Systems Biology Approach

2010 ◽  
Vol 28 (16) ◽  
pp. 2777-2783 ◽  
Author(s):  
Ana Maria Gonzalez-Angulo ◽  
Bryan T.J. Hennessy ◽  
Gordon B. Mills
Keyword(s):  
Systems Biology ◽  
Patient Outcomes ◽  
Cost Effective ◽  
Molecular Medicine ◽  
Multidimensional Data ◽  
Data Sets ◽  
Therapeutic Modalities ◽  
Molecular Tests ◽  
Therapeutic Decision Making ◽  
The Masses

The development of cost-effective technologies able to comprehensively assess DNA, RNA, protein, and metabolites in patient tumors has fueled efforts to tailor medical care. Indeed validated molecular tests assessing tumor tissue or patient germline DNA already drive therapeutic decision making. However, many theoretical and regulatory challenges must still be overcome before fully realizing the promise of personalized molecular medicine. The masses of data generated by high-throughput technologies are challenging to manage, visualize, and convert to the knowledge required to improve patient outcomes. Systems biology integrates engineering, physics, and mathematical approaches with biologic and medical insights in an iterative process to visualize the interconnected events within a cell that determine how inputs from the environment and the network rewiring that occurs due to the genomic aberrations acquired by patient tumors determines cellular behavior and patient outcomes. A cross-disciplinary systems biology effort will be necessary to convert the information contained in multidimensional data sets into useful biomarkers that can classify patient tumors by prognosis and response to therapeutic modalities and to identify the drivers of tumor behavior that are optimal targets for therapy. An understanding of the effects of targeted therapeutics on signaling networks and homeostatic regulatory loops will be necessary to prevent inadvertent effects as well as to develop rational combinatorial therapies. Systems biology approaches identifying molecular drivers and biomarkers will lead to the implementation of smaller, shorter, cheaper, and individualized clinical trials that will increase the success rate and hasten the implementation of effective therapies into the clinical armamentarium.

scholarly journals Student Attendance Management System using Principal Component Analysis Method

2020 ◽  
Vol 9 (4S2) ◽  
pp. 9-15
Keyword(s):  
Management System ◽  
Iris Recognition ◽  
Principal Component ◽  
Cost Effective ◽  
Analysis Method ◽  
Academic Institutions ◽  
Student Attendance ◽  
Eigen Values ◽  
Cost Effective Technique ◽  
Day By Day

Attendance taking and maintaining is a tedious job in the academic institutions where the time of class is restricted. The manual attendance i.e., roll call or paper-based signature systems usually consumes more time and error prone and also possibility of recording proxy attendance is more. Attendance is one of the criteria in considering students’ eligibility for attending the external examinations and also for the promotion to the next semester / year, where these kinds of problems may cause severe effect on the academic institutions. As the strength of students in a class is increasing day by day; monitoring, awarding and maintenance of attendance has becoming a challenge for the academic institutions. As a solution, attendance can be recorded using anyone of the existing biometric techniques like fingerprinting, iris recognition, signature, face recognition etc. Face identification is the best method among all the earlier mentioned methods for implementing in the academic institutions as it does not require human intervention and it is a cost-effective technique. A novel student attendance recording and management system using a MATLAB application, LabVIEW, Camera interface and GSM is proposed in this paper. Students’ faces will be captured with the help of a camera connected to a computer and Eigen values of the captured images will be detected with the help of MATLAB executed by LabVIEW Mathscript node. LabVIEW, a graphical programming environment is adopted for acquiring face, processing and authenticating the student once the match is found. Authenticated student attendance will be updated, and a message will be sent with the help of GSM module interface to myRIO. Proposed system replaces the manual attendance system which improves the performance of existing system.

scholarly journals Optimization through Bayesian Classification on the k-Anonymized Data

2012 ◽  
pp. 245-249
Author(s):  
L Mohana Tirumala ◽  
S. Srinivasa Rao
Keyword(s):  
Cost Effective ◽  
Privacy Preserving ◽  
Bayesian Classification ◽  
Data Sets ◽  
Data Set ◽  
Equal Importance ◽  
Cost Effective Approach ◽  
Effective Manner ◽  
Anonymized Data ◽  
Refinement Algorithm

Privacy preserving in Data mining & publishing, plays a major role in today networked world. It is important to preserve the privacy of the vital information corresponding to a data set. This process can be achieved by k-anonymization solution for classification. Along with the privacy preserving using anonymization, yielding the optimized data sets is also of equal importance with a cost effective approach. In this paper Top-Down Refinement algorithm has been proposed which yields optimum results in a cost effective manner. Bayesian Classification has been proposed in this paper to predict class membership probabilities for a data tuple for which the associated class label is unknown.

scholarly journals Temporal Patterns Of User Preferences In The Tasks Of Forming Explanations In The Recommender System

2020 ◽  
Vol 2 (95) ◽  
pp. 21-27
Author(s):  
S. F. Chalyi ◽  
V. O. Leshchynskyi
Keyword(s):  
Recommendation System ◽  
Selection Process ◽  
Temporal Patterns ◽  
User Preferences ◽  
Data Sets ◽  
Goods And Services ◽  
Temporal Relationships ◽  
Sequential Selection ◽  
System User ◽  
Alternative Choice

The problem of taking into account changes in the user’s behavior of the recommendation system whenconstructing explanations for recommendations is considered. This problem occurs as a result of cyclical changes in userrequirements. Its solution is associated with the construction of an explanation comparing the alternative choices of theuser of the recommendation system. The developed models of temporal patterns consist of a set of temporal relationshipsbetween the events of users’ choice of goods and services. The first pattern contains an alternative in the form of sequential selection in time of several objects or the selection of only a pair - the first and the last object. The second pattern,sequential-alternative choice, consists of a sequence of choices over time, which ends with the first pattern. The proposedapproach to the formation of patterns is based on the construction of data sets containing temporal dependencies betweena group of user choices for a given level of time detail. The temporal dataset is used to construct a temporal graph of therecommender system user selection process. The latter includes a set of temporal patterns with an indication of the timeof their beginning and end, which makes it possible to determine the duration of the implementation of these patterns.On the basis of the patterns, subsets of temporal relationships are formed to build explanations for the recommendedlist of goods and services. Experimental verification of the developed approach using the “Online Retail” sales data sethas shown the possibility of identifying temporal patterns even on short initial samples.

scholarly journals Reshaping Text Data for Efficient Processing on Amazon EC2

2011 ◽  
Vol 19 (2-3) ◽  
pp. 133-145
Author(s):  
Gabriela Turcu ◽  
Ian Foster ◽  
Svetlozar Nestorov
Keyword(s):  
Cost Effective ◽  
Performance Model ◽  
Small Data ◽  
Data Sets ◽  
Performance Measurements ◽  
File Size ◽  
Application Performance ◽  
Execution Plan ◽  
Small Data Sets ◽  
Amazon Ec2

Text analysis tools are nowadays required to process increasingly large corpora which are often organized as small files (abstracts, news articles, etc.). Cloud computing offers a convenient, on-demand, pay-as-you-go computing environment for solving such problems. We investigate provisioning on the Amazon EC2 cloud from the user perspective, attempting to provide a scheduling strategy that is both timely and cost effective. We derive an execution plan using an empirically determined application performance model. A first goal of our performance measurements is to determine an optimal file size for our application to consume. Using the subset-sum first fit heuristic we reshape the input data by merging files in order to match as closely as possible the desired file size. This also speeds up the task of retrieving the results of our application, by having the output be less segmented. Using predictions of the performance of our application based on measurements on small data sets, we devise an execution plan that meets a user specified deadline while minimizing cost.

The Role of the Editor of an Academic Publication Blog

2021 ◽  
Vol 52 (4) ◽  
pp. 199-211
Author(s):  
Stuart A. Brown
Keyword(s):  
Public Engagement ◽  
Scholarly Communication ◽  
London School ◽  
Academic Institutions ◽  
Research Dissemination ◽  
Substantial Body ◽  
London School Of Economics

Academic blogging is now a widely used medium for scholarly communication. A substantial body of literature exists on the potential opportunities and challenges that blogging affords to scholars, yet the role of blog editors in facilitating research dissemination and public engagement remains largely overlooked. This paper draws on insights from the development of academic blogs by the London School of Economics between 2010 and 2020. It discusses the demands on blog editors and sets forth a framework for academic institutions and scholars to support editors in their efforts to realize the benefits of academic blogging.

Cabot Science Library

2019 ◽  
pp. 284-298
Author(s):  
Joanna Huang ◽  
Anu Vedantham
Keyword(s):  
Collaborative Learning ◽  
Learning Environment ◽  
Knowledge Creation ◽  
Learning Support ◽  
Digital Environment ◽  
Smart Learning Environment ◽  
Effective Learning ◽  
Smart Learning ◽  
Knowledge Creation And Sharing

Cabot Science Library has transformed from a traditional collections-based science library into an innovative hub for collaborative learning support. This chapter examines how a well-designed space and technology promotes effective learning and documents how Cabot functions as a smart learning environment. The interplay between a physical and digital environment at Cabot Science Library emphasizes learner mobility and engagement, collaboration, and discovery, enabling knowledge creation and sharing.

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