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The small case series of Singh et al. , 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 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 anonymousdoi: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.
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 isdoi:10.1145/1240624.1240864 dblp:conf/chi/PawarPGT07 fatcat:rjagdxbfcbc2vgdssf4esp25e4
more »... 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.
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 unsuperviseddoi:10.1145/1135777.1135896 dblp:conf/www/PalPBT06 fatcat:sexyol44dzdpxnaolekbmuwdxa
more »... 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.
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 confoundersdoi:10.5530/jppcm.2018.4.48 fatcat:4kyjccqkqrgivjnsq6qxc6jbze
more »... (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.
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: email@example.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
(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
2020 5th International Conference on Communication and Electronics Systems (ICCES)
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
Proceedings of the 9th international conference on Computer supported collaborative learning - CSCL'09
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
2020 5th International Conference on Communication and Electronics Systems (ICCES)
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
2019 IEEE Pune Section International Conference (PuneCon)
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
2019 5th International Conference On Computing, Communication, Control And Automation (ICCUBEA)
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
2018 IEEE 13th International Conference on Industrial and Information Systems (ICIIS)
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
2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)
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
2020 4th International Conference on Intelligent Computing and Control Systems (ICICCS)
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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