scholarly journals WOMEN AND BIOTECHNOLOGY

2003 ◽  
Vol 2 (1) ◽  
pp. 61-67
Author(s):  
Seema Prakash ◽  
Latha Sivaram

Women have always had a strong affinity to Biological Sciences, probably due to their intrinsic creative qualities. More recently, Biotechnology, a very knowledge-intensive discipline has become the forte of women. With the numerous benefits it has to offer to mankind and environment, Biotechnology has become a priority area in the country's Science and Technology agenda. Unlike as in the past, the near future will see active participation of women in policy and decision-making in the areas of research and education at both, national and international levels.

Author(s):  
Mats Alvesson

‘Be something great’ and ‘fast track to top jobs’ were two headlines in advertisements for education that caught my eye some time ago. The specific message was that a specific school was offering a route to success and a brilliant career. In other words, education paves the way for success in life. With the passing of time, this has become a well-established truth. There are no other options—unless you have exceptional talents in the arts, sports, or the entertainment context. Fantasies and hopes for an outstanding career are encouraged on a broad front. The higher education sector has developed rapidly, even exploded, in recent decades and so have promises of a fantastic career resulting from a degree of the right kind and at the right place. In one UK university, the business school building is plastered with large posters claiming that ‘We create world-class minds’. And a Swedish university, located in a remote part of the country and with difficulties in recruiting faculty members and students, advertises heavily, claiming ‘research and education in world class’. If an institution is not ‘world class’ it is often described in terms of ‘excellence’. At my own university a few years ago, I saw a poster headed ‘Do you want to be President or Group CEO?’ for a course in commercial law specially designed for people who expect to reach the top in the near future. Since the target group consists of students, and most of them will probably have to bide their time for a decade or two before they can put ‘President’ or ‘Group CEO’ on their business cards, we may conclude that the department in question has realized the value of a long-term approach, and is assuming that many students have a high estimation of their potential. Perhaps education institutions support such more or less realistic self-images and career aspirations. If the department in question succeeds in recruiting a large number of students, it is perhaps primarily the less realistic self-images that will be reinforced. At a more collective level, education is now also considered to pave the way for national greatness.


2021 ◽  
Vol 6 ◽  
Author(s):  
Kimberly A. Hays ◽  
J. Christopher Havran ◽  
Matthew J. Heard ◽  
Ashley B. Morris ◽  
Loretta Ovueraye

The Association of Southeastern Biologists was founded in 1937 with the goal of increasing the contact and collaboration between scientists in the southeastern United States (US). With the exception of two years during World War II and one year during the COVID-19 pandemic, the Association has met annually to promote research and education in the biological sciences by providing a student-friendly networking environment. In recent years, the Association has placed an increased focus on diversity, equity, and inclusion among elected and appointed leaders, among participants in the annual meeting, and in the development of funding and other opportunities for students. This work prompted us to review the history of our Association, including periods of racial segregation and inequity, and focus on our current efforts to promote access and inclusion by students and scientists from myriad underrepresented groups. In so doing, the past provides us with the opportunity to cast a vision for the future of the Association. In this paper, we seek to share the journey of the Association of Southeastern Biologists in this regard so that we may be transparent, exposing the missteps and amplifying the successes of our organization. We envision this work as a first step toward creating a more open and inclusive scientific community for the future.


Mousaion ◽  
2017 ◽  
Vol 34 (3) ◽  
pp. 36-59 ◽  
Author(s):  
Jan R. Maluleka ◽  
Omwoyo B. Onyancha

This study sought to assess the extent of research collaboration in Library and Information Science (LIS) schools in South Africa between 1991 and 2012. Informetric research techniques were used to obtain relevant data for the study. The data was extracted from two EBSCO-hosted databases, namely, Library and Information Science Source (LISS) and Library, Information Science and Technology Abstracts (LISTA). The search was limited to scholarly peer reviewed articles published between 1991 and 2012. The data was analysed using Microsoft Excel ©2010 and UCINET for Windows ©2002 software packages. The findings revealed that research collaboration in LIS schools in South Africa has increased over the past two decades and mainly occurred between colleagues from the same department and institution; there were also collaborative activities at other levels, such as inter-institutional and inter-country, although to a limited extent; differences were noticeable when ranking authors according to different computations of their collaborative contributions; and educator-practitioner collaboration was rare. Several conclusions and recommendations based on the findings are offered in the article.


2017 ◽  
Author(s):  
Eugenia Isabel Gorlin ◽  
Michael W. Otto

To live well in the present, we take direction from the past. Yet, individuals may engage in a variety of behaviors that distort their past and current circumstances, reducing the likelihood of adaptive problem solving and decision making. In this article, we attend to self-deception as one such class of behaviors. Drawing upon research showing both the maladaptive consequences and self-perpetuating nature of self-deception, we propose that self-deception is an understudied risk and maintaining factor for psychopathology, and we introduce a “cognitive-integrity”-based approach that may hold promise for increasing the reach and effectiveness of our existing therapeutic interventions. Pending empirical validation of this theoretically-informed approach, we posit that patients may become more informed and autonomous agents in their own therapeutic growth by becoming more honest with themselves.


2020 ◽  
Vol 14 ◽  
Author(s):  
Abhishek Kumar ◽  
Neeraj Masand ◽  
Vaishali M. Patil

Abstract: Breast cancer is the most common and highly heterogeneous neoplastic disease comprised of several subtypes with distinct molecular etiology and clinical behaviours. The mortality observed over the past few decades and the failure in eradicating the disease is due to the lack of specific etiology, molecular mechanisms involved in initiation and progression of breast cancer. Understanding of the molecular classes of breast cancer may also lead to new biological insights and eventually to better therapies. The promising therapeutic targets and novel anti-cancer approaches emerging from these molecular targets that could be applied clinically in the near future are being highlighted. In addition, this review discusses some of the details of current molecular classification and available chemotherapeutics


Author(s):  
John Hunsley ◽  
Eric J. Mash

Evidence-based assessment relies on research and theory to inform the selection of constructs to be assessed for a specific assessment purpose, the methods and measures to be used in the assessment, and the manner in which the assessment process unfolds. An evidence-based approach to clinical assessment necessitates the recognition that, even when evidence-based instruments are used, the assessment process is a decision-making task in which hypotheses must be iteratively formulated and tested. In this chapter, we review (a) the progress that has been made in developing an evidence-based approach to clinical assessment in the past decade and (b) the many challenges that lie ahead if clinical assessment is to be truly evidence-based.


2021 ◽  
Vol 42 (02) ◽  
pp. 191-195

Good reviewers are essential to the success of any journal and peer review is a major pillar of science. We are grateful to those mentioned below to have dedicated their time and expertise to help our authors improve and refine their manuscripts and support the Editor(s) in the decision making process in the past year.


2020 ◽  
Vol 114 ◽  
pp. 242-245
Author(s):  
Jootaek Lee

The term, Artificial Intelligence (AI), has changed since it was first coined by John MacCarthy in 1956. AI, believed to have been created with Kurt Gödel's unprovable computational statements in 1931, is now called deep learning or machine learning. AI is defined as a computer machine with the ability to make predictions about the future and solve complex tasks, using algorithms. The AI algorithms are enhanced and become effective with big data capturing the present and the past while still necessarily reflecting human biases into models and equations. AI is also capable of making choices like humans, mirroring human reasoning. AI can help robots to efficiently repeat the same labor intensive procedures in factories and can analyze historic and present data efficiently through deep learning, natural language processing, and anomaly detection. Thus, AI covers a spectrum of augmented intelligence relating to prediction, autonomous intelligence relating to decision making, automated intelligence for labor robots, and assisted intelligence for data analysis.


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