Results for 'Devasmita Chakraverty'

13 found
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  1.  7
    Parental Occupation Inspiring Science Interest: Perspectives From Physical Scientists.Robert H. Tai & Devasmita Chakraverty - 2013 - Bulletin of Science, Technology and Society 33 (1-2):44-52.
    Children’s early science interest begins well before middle school, and parents can be important in generating and sustaining such interest. This qualitative study addresses how parental occupations shape physical scientists’ early science interest. Our framework uses Social Cognitive Career Theory, and our research question is, “How do parental occupations create learning opportunities for children and motivate them to pursue physical science?” We examine interviews from 17 physical scientists in Project Crossover, a sequential mixed-methods study that broadly examines factors influencing entry (...)
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  2.  2
    How Do Interaction Experiences Influence Doctoral Students’ Academic Pursuits in Biomedical Research?Robert H. Tai, Heather D. Wathington, Dorothy A. Andriole, Donna B. Jeffe, Devasmita Chakraverty & Xiaoqing Kong - 2013 - Bulletin of Science, Technology and Society 33 (3-4):76-84.
    This exploratory qualitative study investigated how doctoral students reported their personal and professional interaction experiences that they believed might facilitate or impede their academic pursuits in biomedical research. We collected 19 in-depth interviews with doctoral students in biomedical research from eight universities, and we based our qualitative analytic approach on the work of Miles and Huberman. The results indicated that among different sources and types of interaction, academic and emotional interactions from family and teachers in various stages essentially affected students’ (...)
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  3.  7
    It Runs in the Family: The Role of Family and Extended Social Networks in Developing Early Science Interest.Robert H. Tai, Kelly Puzio, Sarah N. Newcomer & Devasmita Chakraverty - 2018 - Bulletin of Science, Technology and Society 38 (3-4):27-38.
    Research shows that early scientific interest is associated with science degree completion and career selection. However, little is known about the conditions that support early scientific interest. Using a “funds of knowledge” theoretical framework, this study examined the role of parents, family, and extended social networks in fostering early interest in science. Using interview narratives from 116 scientists (physicists and chemists) in the United States, we conducted a qualitative thematic content analysis. Findings suggest that children who become scientists in adulthood (...)
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  4.  10
    The Bachelor’s to PhD Transition: Factors Influencing PhD Completion Among Women in Chemistry and Physics.Robert H. Tai, Katy A. Warner, Amy C. Hutton, Devasmita Chakraverty & Katherine P. Dabney - 2016 - Bulletin of Science, Technology and Society 36 (4):203-210.
    Existing research has examined if undergraduate factors influence chemistry and physics, or physical science, doctoral degree entry and whether variables during PhD programs associate with graduation. Yet research on the transition from bachelor’s degree to doctoral degree entry (i.e., PhD entry in less than 6 months, attainment of a master’s degree prior to doctoral degree entry, or working in a science-related job for more than a year prior to doctoral degree entry) on PhD degree graduation remains scarce. Our study examines (...)
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  5.  15
    Defending genome integrity during DNA replication: a proposed role for RecQ family helicases.Ronjon K. Chakraverty & Ian D. Hickson - 1999 - Bioessays 21 (4):286-294.
    The RecQ family of DNA helicases have been shown to be important for the maintenance of genomic integrity in all organisms analysed to date. In human cells, representatives of this family include the proteins defective in the cancer predisposition disorder Bloom's syndrome and the premature ageing condition, Werner's syndrome. Several pieces of evidence suggest that RecQ family helicases form associations with one or more of the cellular topoisomerases, and together these heteromeric complexes manipulate DNA structure to effect efficient DNA replication, (...)
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  6.  8
    Mathematical methods in interdisciplinary sciences.Snehashish Chakraverty (ed.) - 2020 - Hoboken, NJ: Wiley.
    This book examines the interface between mathematics and applied sciences. The editor examines the present and future needs for the interaction between various science and engineering areas. This edited book brings together the cutting-edge research on mathematics, combining various fields of science and engineering. The book begins with an introduction to computing and modeling. Next, computation and modeling trends are covered, along with chapters on structural static and vibration problems, heat conduction and diffusion problems, and fluid dynamics problems. Soft computing (...)
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  7. Fluid dynamic problems in uncertain environment.P. Karunkar, U. Biswal & S. Chakraverty - 2020 - In Snehashish Chakraverty (ed.), Mathematical methods in interdisciplinary sciences. Hoboken, NJ: Wiley.
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  8. A survey of classification techniques in speech emotion recognition.Tanmoy Roy, Tshilidzi Marwala & Snehashish Chakraverty - 2020 - In Snehashish Chakraverty (ed.), Mathematical methods in interdisciplinary sciences. Hoboken, NJ: Wiley.
     
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  9.  11
    Proceedings of International Conference on Challenges and Applications of Mathematics in Science and Technology: CAMIST, January 11-13, 2010.Snehashish Chakraverty (ed.) - 2010 - Delhi: Macmillan Publishers India.
  10. Dynamic behavior of nanobeam using strain gradient model.Subrat Kumar Jena, Rajarama Mohan Jena & S. Chakraverty - 2020 - In Snehashish Chakraverty (ed.), Mathematical methods in interdisciplinary sciences. Hoboken, NJ: Wiley.
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  11. Non-probabilistic analysis of thermal and chemical diffusion problems with uncertain bounded parameters.S. Nayak, T. D. Rao & S. Chakraverty - 2020 - In Snehashish Chakraverty (ed.), Mathematical methods in interdisciplinary sciences. Hoboken, NJ: Wiley.
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  12. Affine-contractor approach to handle nonlinear dynamical problems in uncertain environment.N. R. Mahato, S. Rout & S. Chakraverty - 2020 - In Snehashish Chakraverty (ed.), Mathematical methods in interdisciplinary sciences. Hoboken, NJ: Wiley.
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  13. Connectionist learning models for application problems involving differential and integral equations.S. Mall, S. K. Jeswal & S. Chakraverty - 2020 - In Snehashish Chakraverty (ed.), Mathematical methods in interdisciplinary sciences. Hoboken, NJ: Wiley.
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