Content

Editorial

Data Science is one of the important and emerging nomenclature and field of study internationally in many universities; not only developed countries but also in developing countries. Data Science is combined with various types of tools, techniques, technologies with reference to the algorithms, and machine learning principles. Further Data Science is also dedicated to discover hidden patterns of the data from the raw data. The experts involves in the tasks are called Data Science, Data Analyst etc. They not only does the exploratory analysis of the data and similar facets to discover insights from it, but also they also uses various kind of advanced techniques and machine learning algorithms for the purpose viz. to identify the occurrence of a particular event in the future. The field Data Science is very much close with the Big Data, Data Analytics. Big Data is also known as Big Data Management which simply the techniques and procedure for the managing complex and large amount of data in different forms and format. Data Analytics is another area responsible for real analysis and predicting for the problem solving also. Initially in Computer Science and Mathematical Sciences the fields of Big Data, Data Analytics, Data Sciences etc were practiced but gradually various other disciplines and subjects also using these fields. Regarding as a field Data Science is normally offered in the academic units of Computer Science, Mathematical Sciences. But in recent past this is also can be noted in the academic units of Information Science, which is literary has different objects and role than Computer Science and Mathematical Sciences. iSchools which is considered as an important academic consortium in information related fields are also in recently started academic programs on Data Science with a little different focus to create manpower who not only understand about the Data but also it’s the issues, managerial context, social implications etc. for developing a smarter and intelligent society. This paper is theoretical in nature and exploratory in nature with aspects of Data Science in general emphasizing its current situation and offering in the iSchools with reference to the American region. The paper also aimed as a policy works for the other iSchools or the academic institutions and body may have potentialities in Data Science for creation of smarter systems.

Recently polymer composites embedded with conconductive carbon nano-filler (graphene or carbon nanofibers) have drawn considerable attention because of their multifunctional properties appropriate for electronic and biomedical applications. Cabon fibers (CFs) have extraordinary properties as filler material. As it is difficult to homogeniously mix CFs with polymer, in the present paper, insulating polyvinyal alcohol (PVA)/conducting carbon filament fiber powder (CFP) composite films were synthesized and characterized for the study of their electrical, dielectric and mechanical properties. Enhanced electrical conductivity, dielectric permittivity and mechanical properties were observed with the addition of conducting carbon filament powder in the composites. Such enhanced electrical, dielectric and mechanical properties represented multifunctional behavior of the biopolymer composite films and also indicated their compatibility for applications in fuel cell electrode material as well as for biomedical scaffold for tissue engineering.

Artificial intelligence (AI), often known as the fourth industrial revolution (IR 4.0), will alter not only how we perform tasks and interact with others, but also what we know about ourselves. However, AI has a significant impact on how we perform tasks and interact with one another. Observe AI technology so that the world might profit from the development of this new intellect. It is connected with the notion that computer systems are expected to exhibit intelligence. It was the exclusive domain of humans previously. AI is able to make decisions and solve complicated problems in several sectors of society without human assistance. It has fundamentally altered society’s perspective on the discovery of human intelligence. Artificial intelligence is advancing quickly in numerous aspects of contemporary culture. AI can be utilised in a variety of fields, including medical research and the development of breakthrough technologies, such as driverless vehicles. The introduction of Artificial Intelligence has had both positive and negative consequences for society. The primary goal of this paper is to investigate the impact of artificial intelligence on society as well as the challenges of artificial intelligence.

Now a days the changing paradigm of the teaching learning process demands technology oriented learning environment. We live in the arena of digital environment i.e., digital content, digital reference materials, digitalized instruction system and digital courses which are very popular in latest scenario of the world. Technology not only makes interesting our learning environment but also reduces stress from the mind of the children. Use of technology also helps them to remember the content or topic for a long time. Now, technology should be infused into the pedagogy. Content should be taught through technology oriented pedagogy. Digital pedagogy enhances practical skills and competencies of ICT world. If we design it effectively it has many advantages. But its design is cost effective, laborious and intelligent enough. Its most effective side is that if we can design it effectively it creates most attractive and positive learning environment. But frustrating enough our secondary schools is far behind of this new approach. Teachers are less acquainted about the use of technology in the classrooms. They fail to create the attractive digital learning environment on some of the contents. The paper tries to focus the design, formation and function of digital pedagogy on the recent teaching learning contents. It also mentioned the advantages and concerning factors of digital pedagogy.

A leader’s work is difficult because he or she must deal with a diverse spectrum of staff members, all of whom have various personalities. This needs the capacity of leaders to think outside the box in order to overcome these difficulties. To perform his administrative tasks more effectively and efficiently, he needs management and leadership qualities. The leadership of the supervisor is a vital aspect of his or her personality to deal with on a daily basis. Transformational leadership is a relatively recent approach to leadership in the business setting that focuses on the development of subordinates rather than the development of leaders themselves. According to research, transformative leadership is connected to the development of IWB. This research is looking to discover whether there is a relationship between transformative leadership approaches and IWB in private companies in Turkey and what are the barriers in adopting the two. Because of the scarcity of prior research in this topic at private companies in Turkey, this location was selected for the study. The study’s goal was to look at the TLS and IWB of private companies in Turkey. To achieve these goals, data was collected via an interview. The stratified random sampling approach was utilized. A total of 200 supervisors and subordinates from around Turkey took part in the survey, the study’s results imply that leaders employ IWBs to assist subordinates more effectively. According to the research, TLS and IWB seem to have a significant relationship. The working culture at the researcher’s private companies in Turkey does not encourage people who strive to take the initiative or operate in a different way than the rest of the personnel.

While most universities and HEIs work to provide an education system based on developing quality and education standards, and improving performance and skills indicators in all their faculties, some universities work to bypass these indicators for several reasons, the most important of which are saving time, money, and effort. The fact that these educational institutions neglect the development of their quality system leads to a decline in the level of their work, a decline in the level of students, and the neglect of faculty members to develop themselves, which leads in general to a decline in the level of their educational process, which will push the university itself to pay additional large sums of money to improve and develop their educational process in a way that leads to them spending twice as much time, losing very valuable time to them, and losing their academic reputation. This research paper provides a summary and a guide for these educational institutions to direct them in a way that contributes to developing the quality system and improving their performance in a way that saves time, money, and effort.