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Surgical patterns in osteoporotic vertebral compression fractures
2012
European spine journal
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The small case series of Singh et al. [12], shows good results following limited decompression and open VP/KP, at a short follow-up of 44 weeks. Boszczyk et al. ...
doi:10.1007/s00586-012-2508-4
pmid:23053751
pmcid:PMC3631027
fatcat:xri5osttnvg2ffr2rarg6iyxqm
Mischief
2008
Proceeding of the twenty-sixth annual CHI conference on Human factors in computing systems - CHI '08
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Mischief is a system to support traditional classroom practices between a remote instructor and a group of collocated students. Meant for developing regions, each student in the classroom is given a mouse and these are connected to a single machine and shared display. We present observations of teaching practices in rural Chinese classrooms that led to Mischief's design. Mischief's user interface, with which scores of collocated students can interact simultaneously, supports anonymous
doi:10.1145/1357054.1357114
dblp:conf/chi/MoravejiKGPMI08
fatcat:3ppklzwt5nhbhb73nomkwz3bwy
more »
... communicates focus of attention, and maintains the role of the instructor. Mischief is an extensible platform in which Microsoft PowerPoint slides, used commonly in developing regions, are made interactive. We setup a controlled environment where Mischief was used by classrooms of children with a remote math instructor. The results from the study provided insight into the usability and capacity of the system to support traditional classroom interactions. These observations were also the impetus for a redesign of several components of Mischief and are also presented. These findings contribute both a novel system for synchronous distance education in an affordable manner and design insights for creators of related systems.
Multiple mice for retention tasks in disadvantaged schools
2007
Proceedings of the SIGCHI conference on Human factors in computing systems - CHI '07
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This study evaluates single-mouse and multiple-mice configurations for computer-aided learning in schools where access to computers is limited due to resource constraints. Multimouse, a single display groupware solution, developed to allow multiple mice to be used simultaneously on a single PC, is compared with singleuser-single-mouse and multiple-user-single-mouse scenarios. Multimouse itself is trialed with two unique interaction designs -one where competitive interaction among students is
doi:10.1145/1240624.1240864
dblp:conf/chi/PawarPGT07
fatcat:rjagdxbfcbc2vgdssf4esp25e4
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... ouraged, and another where more collaborative interaction is expected. Experiments were conducted with 238 schoolchildren from underprivileged households in rural India on an English vocabulary retention task. On the whole, Multimouse configurations (five users each) were found to be at par with single-user scenarios in terms of actual words learned by students. This suggests that the value of a PC can be inexpensively multiplied by employing a multi-input shared-use design. Gender effects were found, where boys show significant differences in learning depending on interaction modality, whereas girls learned at similar rates across configurations. In addition, a comparison of the two Multimouse modes -collaborative and competitiveshowed the striking difference in learning outcomes and user behavior that is possible due to even slight variations in interaction designs for multiple-mice.
The case for multi-user design for computer aided learning in developing regions
2006
Proceedings of the 15th international conference on World Wide Web - WWW '06
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Computer-aided learning is fast gaining traction in developing regions as a means to augment classroom instruction. Reasons for using computer-aided learning range from supplementing teacher shortages to starting underprivileged children off in technology, and funding for such initiatives range from state education funds to international agencies and private groups interested in child development. The interaction of children with computers is seen at various levels, from unsupervised
doi:10.1145/1135777.1135896
dblp:conf/www/PalPBT06
fatcat:sexyol44dzdpxnaolekbmuwdxa
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... learning at public booths without specific curriculum to highly regulated in-class computer applications with modules designed to go with school curriculum. Such learning is used at various levels from children as young as 5 year-old to high-schoolers. This paper uses field observations of primary school children in India using computeraided learning modules, and finds patterns by which children who perform better in classroom activities seat themselves in front of computer monitors, and control the mouse, in cases where children are required to share computer resources. We find that in such circumstances, there emerges a pattern of learning, unique to multi-user environments -wherein certain children tend to learn better because of their control of the mouse. This research also shows that while computer aided learning software for children is primarily designed for single-users, the implementation realities of resource-strapped learning environments in developing regions presents a strong case for multi-user design.
Evaluation of Potential Drug-Drug Interactions (DDIs) Incidence in Critically ill Patients
2018
Journal of Pharmacy Practice and Community Medicine
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Objectives: We evaluated the instances of potential Drug-Drug Interactions (DDIs) in critically ill patients in a private care center, Mumbai, India and studied the factors associated with these. Methods: This is a secondary data analysis of 107 individuals from an intensive care unit in Mumbai, India. We used Medscape's multidrug interaction checker to identify and analyse the pattern of potential DDIs. We used the poison regression models for count outcomes to adjust for potential confounders
doi:10.5530/jppcm.2018.4.48
fatcat:4kyjccqkqrgivjnsq6qxc6jbze
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... (age, sex, co-morbidities). Key findings: The total number of interactions was 433 [41.4% (95% Confidence Intervals [CI]: 37.6% -45.6%)]. These interactions were highest in > 80 years (56.8%, 95% CI: 45.0% -70.8%). About 28% (95% CI: 25.4% -31.9%) interactions were classified as 'significant' and only 0.1% (95% CI: 0.0% -0.5%) were classified as 'contraindicated' interactions. The interactions were significantly higher in individuals with cardiovascular diseases (CVDs) (Rate Ratio [RR]: 1.86, 95% CI: 1.45, 2.41). Patients with diabetes mellitus (DM) were significantly less likely to have interactions affecting distribution (RR: 0.17, 95% 0.04, 0.77) and metabolism (RR: 0.38, 95% CI: 0.22, 0.65). Patients with renal disorders had significantly lower pharmacokinetic interactions (RR: 0.46, 95% CI: 0.23, 0.91). Conclusion: Though minor interactions were common, the proportion of contraindicated and serious interactions was low. Physicians, probably, were careful while prescribing medications to patients with DM, liver and renal diseases. However, this apparently was not the case in patients with CVDs. Thus, along with regular monitoring, it is important to train and advocate information about drug interactions with physicians of all specialties.
Kelsa+: Digital literacy for low-income office workers
2009
2009 International Conference on Information and Communication Technologies and Development (ICTD)
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Singh Pawar was with Microsoft Research India
6 Thanuja Subramaniam is with Microsoft, Sri Lanka
Table 1 : 1 PC Literacy Test Results A
R
Occupation/ Age
Driver/ 55
Housekeeping/ 23
Education ...
Lakshmi Ratan - phone:
+91-80-66586000;
fax:
+91-80-
23614657;
email:
aratan@microsoft.com)
2 Sambit Satpathy is with CISCO
3 Lilian Zia is with INTEL
4 Sean Blagsvedt is with Babajob.com
5 Udai ...
doi:10.1109/ictd.2009.5426713
dblp:conf/ictd/RatanSZTBPS09
fatcat:zhchkgzqlfcpdfxvcb7ombma4q
A Comparative Analysis of Microbe-Based Technologies Developed at ICAR-NBAIM Against Erysiphe necator Causing Powdery Mildew Disease in Grapes (Vitis vinifera L.)
2022
Frontiers in Microbiology
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(Singh et al., ,b, 2021)) . ...
et al., 2016a (Singh et al., ,b, 2019a,b),b) . ...
Shailendra Singh and other lab members for providing technical support from time to time, whenever needed. ...
doi:10.3389/fmicb.2022.871901
fatcat:omsnlve6bjb77hyse5t77x6ghi
Index Author
2020
2020 5th International Conference on Communication and Electronics Systems (ICCES)
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Tejas Dhakad,506
Tejaswini P,1356
Tenali Anusha,1068
Thanai M Kumar,58
Thanuja C,131
Thara S,1331
Tian Jipeng,131
Timothy Malche,464
U
Uday Vohra,536
Ullas S,761
Umar Sani Abdullahi,335
Unnikrishna ...
Pawar,205
T
Talloju Sai Gowtham,1076
Tamal Das,1395
Tamanna Saini,1293
Tanishqa Shetty,1293
Tanya V Yadalam,660
Tarak Ram V,790
Taraprasanna Dash,68
Taritro Ghoshal,1247
Tarun Ganesh K,567 ...
doi:10.1109/icces48766.2020.9137959
fatcat:lcchhr3py5anbfmvqojcrppciy
Reducing dominance in multiple-mouse learning activities
2009
Proceedings of the 9th international conference on Computer supported collaborative learning - CSCL'09
unpublished
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In the past few years, several studies have focused on using SDG to improve shared computing in the developing world (Moraveji, Kim & Pawar, 2007) . ...
We note that other work has suggested two (Inkpen, Booth, Klawe & Upitis, 1995) , three (Zurita & Nussbaum, 2007) , or five (Pawar, Pal & Toyama, 2006) as "optimal." ...
doi:10.3115/1600053.1600107
fatcat:bt2mhpuf7vdhbh2hzqklj4s2l4
Table of Contents
2020
2020 5th International Conference on Communication and Electronics Systems (ICCES)
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Pawar, Supriya T. ...
, Kuldeep Singh 448 81 UAV Aided Range Free Localisation of Heterogeneous Sensor Networks Dushyant Singh Jasrotia, Manisha J. ...
doi:10.1109/icces48766.2020.9137862
fatcat:6kjrgjzpibg7jm2ziwmwsyuqzi
PuneCon 2019 Presentation Schedule
2019
2019 IEEE Pune Section International Conference (PuneCon)
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Kapadni, Ayan
Gadpal, Manish Visave and Kavita Sultanpure
HOG, LBP and SVM based Traffic Density Estimation at Intersection
67
Shebin Silvister, Dheeraj Komandur, Aditya
Khochare, Shubham Kokate, Uday ...
learning and Blockchain Techniques used in Healthcare System 90 Ela Gore and Sheetal Rathi Surveying Machine Learning algorithms on EEG signals data for Mental Health Assessment 108 Parth Sagar, Shashank Singh ...
doi:10.1109/punecon46936.2019.9105901
fatcat:uh57ftk6a5civlrw2jeynyyjvu
ICCUBEA 2019 Author Index
2019
2019 5th International Conference On Computing, Communication, Control And Automation (ICCUBEA)
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Vasgi;
Uday V. Kulkarni
Blockchain Based Secure Data Storage and Access Control System
using Cloud
Shubham Desai ;
Onkar Deshmukh ;
Rahul Shelke ;
Harish Choudhary;
Prof. S. S. ...
Suryawanshi;
Shrikant Bhagat
86
Automatic Waste Segregator as an integral part of Smart Bin for
waste management system in a Smart City
Chander Partap Singh;
Manisha;
Pao-Ann Hsiung;
Shivani ...
doi:10.1109/iccubea47591.2019.9129489
fatcat:ffljajylpfe3doaoxwzsenom7i
Table of contents
2018
2018 IEEE 13th International Conference on Industrial and Information Systems (ICIIS)
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Ankush Agarwal
Arun Kumar Singh
Sandeep Kumar
Dharmendra Singh
83 -88
17.
183
Performance Comparison of Machine
Learning and Deep Learning While
Classifying Driver's Cognitive State
Rahul ...
Domadiya
Udai Pratap Rao
211-216
41.
82
Urban Traffic Flow Optimization using Intelligent
Techniques
Urmila Bhanja
217 -222
42.
88
Network Coding Based Multiple Fault Tolerance
Scheme in ...
doi:10.1109/iciinfs.2018.8721410
fatcat:mwhd5u7rvffp5pbvnmp7hlrvhi
ICECA 2020 TOC
2020
2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)
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Pawar, Habibuddin Shaik, Kailash S, K. Naveen Kumar, Chandrashekhar L. N 70 FPGA based Hybrid Random Number Generators G. R. MahendraBabu, Lt. K. P. ...
Uday Kumar, Dorababu Sudarsa, G Rama Krishna, CMAK Zeelan Basha, B Srinivasa S P Kumar 214 A Review on Different Approaches for Crop Prediction and Disease Monitoring Techniques Vaishali Bajait, N. ...
doi:10.1109/iceca49313.2020.9297417
fatcat:u35bireaknf5zljg2czdn2yaiu
ICICCS 2020 Table of Contents
2020
2020 4th International Conference on Intelligent Computing and Control Systems (ICICCS)
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Pawar
566
98
Prediction of Cardiac Disease using Supervised Machine Learning Algorithms
R.Jane Preetha Princy, P. ...
Sasikala
156
28
Rider Optimization based Optimized Deep-CNN towards Attack Detection in IoT
Subramonian Krishna Sarma
163
29
Automatic Sensing and Switching the Water Pump: A New Approach
Kota Uday ...
doi:10.1109/iciccs48265.2020.9121146
fatcat:ejvxsxt2cjagjdeyyfbkj6k2lm
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