Converting Dissertation to Journal Article: Why and How?

2021 ◽  
Vol 34 (03) ◽  
pp. 217-222
Author(s):  
Chaturbhuja Nayak
Keyword(s):  
Journal Article ◽  
Research Work ◽  
Publication Process ◽  
University Library ◽  
Research Article ◽  
Daunting Task ◽  
Career Growth ◽  
Professional Body

AbstractResearch work embodied in a master's dissertation remains confined to a limited domain of the researcher, supervisor/co-supervisor and university library. It is desirable that the dissertation material be published in a reputed journal for various reasons including career growth of the researcher, recognition by the professional body, dissemination to a wider audience etc. Writing a research article from a dissertation does not mean just to shorten the latter mechanically or a cut-paste method. For the novice writer, it is a daunting task, but rewarding experience as well, to convert a dissertation to an article. Advice and support of the supervisor and senior colleagues having good experience in research as well as publication should be taken who can navigate the publication process, following the guidelines of the target journal. This article presents a synthesis of guidelines and practices to be followed by the researchers to see that the outcomes of their incessant and tireless efforts in preparing the dissertations be documented through publishable articles.

scholarly journals Writing for publication: Structure, form, content, and journal selection

2021 ◽  
Vol 31 (6) ◽  
pp. 230-233
Author(s):  
Veronica Phillips ◽  
Eleanor Barker
Keyword(s):  
Open Access ◽  
Scientific Journal ◽  
Journal Article ◽  
Structure Form ◽  
Intended Audience ◽  
Writing For Publication ◽  
Research Article ◽  
Factors Influencing ◽  
Citation Metrics ◽  
Journal Citation

This article provides an overview of writing for publication in peer-reviewed journals. While the main focus is on writing a research article, it also provides guidance on factors influencing journal selection, including journal scope, intended audience for the findings, open access requirements, and journal citation metrics. Finally, it covers the standard content of a scientific journal article, providing general advice and guidance regarding the information researchers would typically include in their published papers.

scholarly journals LEVEL OF EMOTIONAL INTELLIGENCE AND ITS IMPACT ON ACCEPTANCE TO TECHNOLOGY IMPLEMENTATION: A STUDY ON EMPLOYEES OF PRIMARY COOPERATIVE CREDIT SOCIETIES IN IDUKKI DISTRICT

2021 ◽  
pp. 333-337
Author(s):  
Mrs. Maya Murali ◽  
Dr. Well Haorei
Keyword(s):  
Emotional Intelligence ◽  
Technology Implementation ◽  
Self Regulation ◽  
Research Work ◽  
Social Awareness ◽  
Self Awareness ◽  
Independent Variables ◽  
Research Article ◽  
Five Factors ◽  
Bank Employees

This research article is an extract of Ph.D. thesis research work. The present paper analyses the level of emotional intelligence and its impact on acceptance to technology implementation among the employees of primary cooperative credit societies in Idukki District. The study concluded that multiple regression analysis indicated independent variables, namely; social skills factor, social awareness factor, self-regulation factor, and self-awareness factor were highly significant in supplementing emotional intelligence among the bank employees in the study area. Further, from the analysis of Pearson’s correlation coefficient of emotional intelligence index and emotional intelligence factors, the study concludes that all the five emotional intelligence factors are statistically significant and has a positive correlation to emotional intelligence index. So, to increase the emotional intelligence level of the sample bank employees the higher authorities of the study banks should impart training in those five factors. KEY WORDS: Level of Emotional Intelligence and Impact, Employees, Idukki District

Applied Practices: Perspectives from the Field

2013 ◽  
Vol 23 (1) ◽  
pp. 141-142
Author(s):  
SUSAN COLMAR
Keyword(s):  
Case Studies ◽  
Journal Article ◽  
Research Work ◽  
Control Group ◽  
List Type

This is our second publication with this section in our journal which encourages and welcomes applied practice contributions from colleagues. These papers have an applied focus with scope for colleagues to offer work such as: Evaluations of practice, even if these are not methodologically at the standard required for contributions to the main journal (e.g., no control group),Conceptual reviews with implications for practice,Linked case studies in therapeutic and learning and behaviour areas of intervention,Reports from presentations and adapted student assignments,Research work put forward for psychologists' registration requirements. Fuller details are noted below. Please contact Dr Susan Colmar, who edits this section of the journal if you wish to discuss your ideas, possibilities, probabilities or even the germ of an idea. Papers will be refereed; however criteria, particularly methodological, will be less restrictive than aiming for a full journal article. If you need some encouragement and assistance in preparing your paper, I am happy to guide you with my red pen.

German naturalists in the service of the Russian Empire

2020 ◽  
Vol 2020 (12-1) ◽  
pp. 263-268
Author(s):  
Ekaterina Babintseva
Keyword(s):  
Research Work ◽  
Russian Empire ◽  
Personal Interest ◽  
Career Growth ◽  
Natural Scientists ◽  
The Russian Empire

The article comprehensively examines the process of historical integration of German natural scientists into research work in Russia in the 17th - 18th centuries. It is concluded that the service of German natural scientists in Russia is conditioned not only by political, social and economic realities, but also by personal interest in the personal demand and career growth of researchers.

FINANCIAL MOTIVATION AS INEFFICIENT SOCIAL TECHNOLOGY IN STIMULATING PUBLIC MANAGERS

2015 ◽  
Vol 10 (6) ◽  
pp. 69-74
Author(s):  
Савчук ◽  
Dmitriy Savchuk
Keyword(s):  
Public Policy ◽  
Social Protection ◽  
Research Work ◽  
Federal State ◽  
Social Technology ◽  
Ministry Of Education ◽  
Legal Documents ◽  
Public Managers ◽  
Career Growth ◽  
Science Ministry

The article presents an analysis of the use of social technology of material motivation in the process of formation of managers by state. The general issues of public policy in the field of formation of staff are examined. The research is done by using a range of methods: analysis of data of Federal State Statistics Ministry of Education and Science, Ministry of Labor and Social Protection of the Russian Federation; analysis of legal documents governing these problems. The result of the research work is the analysis of correlation of social technologies used for different kinds of motivation of managerial staff of government. Application of research results is possible in the development of the unified concept of public policy aimed at the formation of staff potential of government. The main conclusions are the following: the use of material incentives to administrative staff does not give the desired effect. In addition to financial and other types of motivation, it is necessary to regulate the process of career growth of senior management strictly.

scholarly journals From practice to research at Flinders University Library: sustaining a research culture

2018 ◽  
Vol 39 (8/9) ◽  
pp. 615-624 ◽  
Author(s):  
Liz Walkley Hall
Keyword(s):  
Academic Libraries ◽  
Quantitative Methods ◽  
Research Work ◽  
Theory And Practice ◽  
Research Projects ◽  
Research Culture ◽  
Content Type ◽  
Formal Support ◽  
University Library

Purpose The purpose of this paper is to describe the mechanisms used by Flinders University Library to sustain a culture of research. Flinders University Library has been supporting its librarians to undertake research projects using a formal support group mechanism, known as the Research Working Group (RWG), sanctioned and resourced by library executive since 2010. This established a culture of practitioner-based research in the library, with the librarians developing a greater understanding of both the theory and practice of qualitative and quantitative methods by undertaking their own research projects. However, sustaining a research this culture brings new challenges which this paper now explores. Design/methodology/approach This case study describes the methods used at Flinders University Library in sustaining a culture of practitioner-research. This arose from a review of the formal support structure, as well as a previous study that surveyed staff responses to the RWG. Findings As academic libraries face ongoing challenges and engage more broadly with research support, librarians need experiential knowledge of research. In the case of Flinders University Library, the author has found that, in seeking to sustain a research culture, the author has needed to adapt the support mechanisms, including a greater emphasis on peer support, a different model of resourcing and more inclusivity for all staff to engage with research work. Research limitations/implications This paper is limited by its scope as a single-institution case study; however, there are opportunities for other academic libraries to learn from this experience. Originality/value Establishing a culture of practice-based research is not an easy undertaking, requiring dedication from all parties whether management, practitioner-researchers or mentors. While there are many examples in the literature of case studies examining the establishment of research culture, few if any take the next steps to explore how to maintain it. This paper seeks to fill that gap.

scholarly journals Predicting Alert Source Device using Machine Learning Algorithms

2020 ◽  
Vol 9 (9) ◽  
pp. 1-10
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Model Building ◽  
Learning Algorithm ◽  
Learning Algorithms ◽  
Research Work ◽  
Machine Learning Algorithms ◽  
Training Dataset ◽  
Imbalanced Dataset ◽  
Daunting Task

In a large distributed virtualized environment, predicting the alerting source from its text seems to be daunting task. This paper explores the option of using machine learning algorithm to solve this problem. Unfortunately, our training dataset is highly imbalanced. Where 96% of alerting data is reported by 24% of alerting sources. This is the expected dataset in any live distributed virtualized environment, where new version of device will have relatively less alert compared to older devices. Any classification effort with such imbalanced dataset present different set of challenges compared to binary classification. This type of skewed data distribution makes conventional machine learning less effective, especially while predicting the minority device type alerts. Our challenge is to build a robust model which can cope with this imbalanced dataset and achieves relative high level of prediction accuracy. This research work stared with traditional regression and classification algorithms using bag of words model. Then word2vec and doc2vec models are used to represent the words in vector formats, which preserve the sematic meaning of the sentence. With this alerting text with similar message will have same vector form representation. This vectorized alerting text is used with Logistic Regression for model building. This yields better accuracy, but the model is relatively complex and demand more computational resources. Finally, simple neural network is used for this multi-class text classification problem domain by using keras and tensorflow libraries. A simple two layered neural network yielded 99 % accuracy, even though our training dataset was not balanced. This paper goes through the qualitative evaluation of the different machine learning algorithms and their respective result. Finally, two layered deep learning algorithms is selected as final solution, since it takes relatively less resource and time with better accuracy values.

scholarly journals SOME ASPECTS OF PROBLEMATIZATION OF INTERACTION BETWEEN EDITORS OF SCIENTIFIC JOURNALS AND AUTHORS OF ARTICLES IN THE PUBLICATION PROCESS

2021 ◽  
pp. 98-104
Author(s):  
Polina ANANCHENKOVA ◽  
Keyword(s):  
Research Work ◽  
Teaching Staff ◽  
Scientific Journals ◽  
Publication Process

The article deals with topical issues of organizing the process of interaction between editors (publishers) of scientific journals and authors of manuscripts in the process of their evaluation, preparation for publication and publication itself. By the method of semi-formalized interviews of representatives of scientific journals, the main problems of communication relations in the "author-journal" system were identified. The need for the formation of appropriate competencies for authors from among researchers and teaching staff to include and participate in the process of publishing the results of research work in scientific and peer-reviewed publications is problematized.

scholarly journals Evaluation on NTM based Predictive Analytics on Rainfall and Flood Disaster Management

2020 ◽  
Vol 6 (10) ◽  
pp. 89-95
Author(s):  
Satwik P M and Dr. Meenatchi Sundram
Keyword(s):  
Machine Learning ◽  
Predictive Analytics ◽  
Learning Algorithm ◽  
Research Work ◽  
Evaluation Process ◽  
Machine Learning Algorithms ◽  
New Approach ◽  
Research Article ◽  
The Neural Networks ◽  
Evaluation Parameters

In this Research article, we presented a new approach for predicting the flood through the advanced Machine learning Algorithm which is one among the Neural networks class that outperforms itself in best data operations and predictive analytics. This Research article discusses in detail about the prediction of flood occurrences evaluation process. We interpreted the Research with many algorithms that is existing, and the Research work have been dealing with different research works inculcated and compared with different Research approaches. On Comparing to the Previous Researches its observed that the Neural Turing networks have been performing the prediction of the rainfall and flood-based disasters for the consecutive year counts of 10,15 and 20 with 93.8% accuracy. Here the Research is analyzed with various parameters and Comparing it with the other researches which is implemented with other machine learning algorithms. Comparing with the previous researches the Idea of the research have been described and evaluated with the different evaluation parameters including the number of iterations or Epochs.

scholarly journals Design of Effective Smart Communication System for Impaired People

2021 ◽  
Vol 2 (4) ◽  
pp. 181-194
Author(s):  
Akey Sungheetha ◽  
Rajesh Sharma R
Keyword(s):  
Research Work ◽  
Recognition Rate ◽  
Difficulty Level ◽  
Normal Person ◽  
Research Article ◽  
Input Control ◽  
Proposed Model ◽  
Challenging Tasks ◽  
Output Module ◽  
Flex Sensors

In communication medium, sharing a conversation dialogue between the normal person and deaf and dumb person is one of the challenging tasks still. The dumb person can practice hand gesture language in their community but not to others. This research article focuses to minimize the difficulty level between these two communities with smart glove devices. Besides, the author believes that result of the proposed model provides a good impact on the dump community. The smart glove contains input, control, and output module to get, process, and display the data respectively. Our proposed model is used to help these communities to interact with each other continuously without any error. The proposed model is constructed with good specification flex sensors. Little change of resistance in flex sensor is providing changes in their gesture language. So this orientation direction is calculated well and gives better results over existing methods. The wireless set can be made with Bluetooth technologies here. Here the gestures are assigned based on the alphabet letter. The sign language performs and gives audible output in the display section of the proposed model. It gives good results in our experimental setup. This research work focuses on good recognition rate, accuracy, and efficiency. The good recognition rate shows the continuous conversation between the two persons. Moreover, this research article compares the recognition rate, accuracy, and efficiency of the proposed model with an existing model.

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