565 research outputs found
Oral History Interview with Bhavya George
No full textBhavya George is the Climate Change Program Coordinator for the Keystone Foundation, located in Kerala, India. The narrator discusses her work with barefoot ecologists and her efforts to connect with and support women, Indigenous people, and local communities.https://commons.library.stonybrook.edu/project-india-keystone-foundation-barefoot-ecology/1000/thumbnail.jp
Explanation mining
No full textIn this thesis, we propose the idea of computational analysis of explanations. Explanations are used to provide an understanding of a concept, procedure or reasoning to others. Although explanations are present online ubiquitously within textbooks, videos, blogposts, discussion forums, and many more, there is no way to mine them automatically. As a result, users in need of an explanation have to rely on search engines and potentially read through multiple documents in an attempt to find a suitable explanation. This process can be highly tedious for them and may not even be successful in some cases. On the other hand, there are many users such as educators, authors, who write explanations and can benefit from assistants that help enhance the quality of their explanations. The goal of computational analysis of explanations is to assist both these kinds of users. In this work, our focus is on Explanation Mining to assist users seeking explanations.
For understanding some of the linguistic features of explanations across multiple domains, we first apply standard Learning-to-rank models to rank explanations collected from the Explain Like I'm Five (ELI5) reddit forum. Based on cross-domain experiments, we find that a model trained on a sufficiently large dataset achieves decent performance across all domains which suggests that there are some common markers of explanations. Next, to apply this knowledge to the practical problem of mining explanations of educational concepts, we propose a baseline approach based on the popular Language Modeling approach of information retrieval. We show that incorporating knowledge from a model trained on the ELI5 dataset in the form of a document prior helps increase the performance of a standard retrieval model. This is encouraging because our method requires minimal in-domain supervision, as a result it can be deployed for multiple online courses. Finally, we show a demo system that acts as an assistant to online learners while viewing slides. The system enables users to select any piece of text on the slide and find an explanation for it. We conclude with some interesting directions for future work in this field.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2022-05-01The student, Bhavya, accepted the attached license on 2020-05-12 at 14:25.The student, Bhavya, submitted this Thesis for approval on 2020-05-12 at 14:30.This Thesis was approved for publication on 2020-05-13 at 08:19.DSpace SAF Submission Ingestion Package generated from Vireo submission #15341 on 2020-08-25 at 17:44:22Made available in DSpace on 2020-08-27T00:51:32Z (GMT). No. of bitstreams: 2
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A Comparative Analysis of Machine Learning Algorithms For Healthcare Device Data of Social IoT
No full textBhavya D., D.S. Vinod and Shiva Prakash S.P., A Comparative Analysis of Machine Learning Algorithms For Healthcare Device Data of Social IoT, Proceedings of 25 th
Finnish-Russian University Cooperation in Telecommunication FRUCT, volume 25, page
428 to 433 held at Helsinki, Finland from 5 th to 8 th November 2019. ISBN (Print): 978 − 952 − 69244 − 0 − 3, ISSN: 2305 − 7254, e-ISSN: 2343 − 0737. Published by FRUCT.</p
sj-pdf-1-nax-10.1177_18479804211055031 – Supplemental Material for Acid Orange-7 uptake on spherical-shaped nanocarbons
No full textSupplemental Material, sj-pdf-1-nax-10.1177_18479804211055031 for Acid Orange-7 uptake on spherical-shaped nanocarbons by Bhavya Krishnappa, Jyothi Mannekote Shivanna, Maya Naik, Paola De Padova and Gurumurthy Hegde in Nanomaterials and Nanotechnology</p
sj-pdf-1-ajs-10.1177_03635465231171680 – Supplemental material for Histological Analysis of Regenerative Properties in Human Glenoid Labral Regions
No full textSupplemental material, sj-pdf-1-ajs-10.1177_03635465231171680 for Histological Analysis of Regenerative Properties in Human Glenoid Labral Regions by Le Q. Hoang, Bhavya Vaish, Samira Izuagbe, Cynthia M. Co, Joseph Borrelli, Peter J. Millett and Liping Tang in The American Journal of Sports Medicine</p
"PERFORMANCE ASSESSMENT OF WORK EFFICIENCY OF EASY TRANSPLANTER FOR REDUCING DRUDGERY AMONG FARM WOMEN WHILE TRANSPLANTING OF TOMATO SEEDLINGS"
No full text"M. Bhavya Manjari, RVT. Balazzii Naaiik, B.V. Rajkumar, M. Swetha, P. Vijay Kumar, M. Suresh, Maloth Mohan and C. Padmaveni
Relationship between adiposity and cognitive performance in 9-10-year-old children in South India
No full textBACKGROUND: Studies in high-income countries have shown inverse associations between adiposity and cognitive performance in children. We aimed to examine the relationship between adiposity and cognitive function in Indian children.METHODS: At a mean age of 9.7 years, height, weight, triceps and subscapular skinfold thicknesses and waist circumference were recorded for 540 children born in Mysore, India. Body fat percentage was estimated using bioimpedance. Cognitive function was assessed using three core tests from the Kaufman Assessment Battery for children-II edition and additional tests measuring learning, short-term memory, reasoning, verbal and visuo-spatial abilities, attention and concentration. Data on the parents' socioeconomic status, education, occupation and income were collected.RESULTS: According to WHO definitions, 3.5% of the children were overweight/obese (Body Mass Index (BMI)>+1SD) and 27% underweight (BMI<-2SD). Compared to normal children, overweight/obese children scored higher in tests of learning/long-term retrieval, reasoning and verbal ability (unadjusted p<0.05 for all). All the Cognitive Test scores increased with increase in BMI and skinfold thickness, (unadjusted ?=0.10-0.20 SD; p<0.05 for all). The effects, though attenuated, remained mainly significant after adjustment for age, sex and socioeconomic factors. Similar associations were found for waist circumference and percentage body fat.CONCLUSIONS: In this Indian population, in which obesity was uncommon, greater adiposity predicted higher cognitive ability. These associations were only partly explained by socioeconomic factors. Our findings suggest that better nutrition is associated with better cognitive function, and that inverse associations between adiposity and cognitive function in high-income countries reflect confounding by socioeconomic factors
Working Paper 65 - Governance in Africa: The Role for Information and Communication Technologies
No full textThe information and knowledge age is upon us due to rapid advances ininformation and communication technologies (ICTs). These new technologies arechanging the way we live and work, and they are transforming many aspects ofsocial and economic organization in ways we could have hardly imagined less thantwo decades ago. ICTs offer developing countries formidable and cost-effectivetools for accelerated development. This paper assesses the role that ICTs can playin Africa’s development with special emphasis on governance. The 21st centurychallenges for governance in Africa are reviewed. The paper summarizes the usesof ICTs in governance and discusses possible risks. It also attempts to offer ideasthat should be considered in employing ICTs for governance, and identifies keyareas for intervention by African countries and the African Development Bank. Thepaper stresses the importance of the human factor in realizing good governance,given that ICTs are only tools.
Approaching the theoretical limits of a mesh NoC with a 16-node chip prototype in 45nm SOI
No full textIn this paper, we present a case study of our chip prototype of a 16-node 4x4 mesh NoC fabricated in 45nm SOI CMOS that aims to simultaneously optimize energy-latency-throughput for unicasts, multicasts and broadcasts. We first define and analyze the theoretical limits of a mesh NoC in latency, throughput and energy, then describe how we approach these limits through a combination of microarchitecture and circuit techniques. Our 1.1V 1GHz NoC chip achieves 1-cycle router-and-link latency at each hop and energy-efficient router-level multicast support, delivering 892Gb/s (87.1% of the theoretical bandwidth limit) at 531.4mW for a mixed traffic of unicasts and broadcasts. Through this fabrication, we derive insights that help guide our research, and we believe, will also be useful to the NoC and multicore research community
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