1,371 research outputs found
Wikis: Tool for Altering Tacit Knowledge Explicit
No full textThe paper presentsives an overview of the concept and dimensions of knowledge and its management in libraries using ICT based systems. Explores how Wikis can be used in libraries to commute the implicit knowledge explicit among the professionals and the users. Discusses in detail the scope of Wikis implementation in libraries. Explains the relative advantage and weakness of Wikis as a knowledge management tool in libraries
sj-docx-1-pie-10.1177_09544089221128366 - Supplemental material for Analysis of rotary ventricular assist devices using CFD technique—A Review
No full textSupplemental material, sj-docx-1-pie-10.1177_09544089221128366 for Analysis of rotary ventricular assist devices using CFD technique—A Review by Pravin Kumar Shukla, Rakesh Mishra and Ravi Prakash Tewari in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering</p
Improving performance, privacy and relevance of location-based services for mobile users
No full textLocation-based services are becoming increasingly popular due to the ubiquity of smartphones and the emergence of vehicular computing applications. Mobile clients have traditionally been consumers of location-based services, but various social applications have recently demonstrated that mobile clients can also be producers of location-based data. Our thesis is that the quality of the location-based services critically depends on the performance of the service, the privacy assurances offered to the clients, and the quality of the data provided by the service. In this dissertation, we propose three contributions addressing key aspects of these challenges: network performance, location privacy for the mobile clients, and relevance of data provided by the service. With respect to the wireless network performance for location-based services, we present Context-Aware Rate Selection (CARS), a rate adaptation algorithm that makes use of knowledge of speed and distance between communicating nodes to choose the optimum transmission rate. Our experimental evaluation in real outdoor vehicular environments shows that CARS adapts to changing link conditions at high vehicular speeds significantly faster than existing rate-adaptation algorithms. With respect to the client location privacy, we present SybilQuery, a fully decentralized and autonomous k-anonymity-based scheme that generates synthetic queries that resemble a real client query. Our experiments on real mobility traces of approximately 500 cabs in the San Francisco Bay area show that SybilQuery can efficiently generate synthetic queries and that these queries are indistinguishable from real queries. Finally, with respect to improving the relevance of location-based data, we present SocialTelescope, a novel location-based service that leverages user interactions in mobile social networks to infer people's preference for places. Our results evaluating the coverage and relevance of our system in comparison to current state-of-the-art approaches show that our approach returns results that are at least as relevant as those returned by current approaches, at a substantially lower cost. The main conclusion of this dissertation is that location-based services can become truly ubiquitous services by providing mobile clients with good network performance, privacy guarantees, as well as relevant results.Ph. D.Includes bibliographical referencesby Pravin Shanka
Quantitative and Rapid Antibacterial Assay of Micromeria biflora Benth. Leaf Essential Oil Against Dental Caries Causing Bacteria Using Phylogenetic Approach
No full textAbstractThe phylogenetic relationship of four dental caries causing bacterial pathogens has been studied using ITS1 sequences of the standard strains were aligned by using the ClustalW computer program. The essential oil obtained from the leaves of Micromeria biflora Benth., obtained by hydrodistillaton. The chemical compositions of the essential oil from Micromeria biflora Benth was analyzed by gas chromatography-mass spectrometry (GC-MS). The GC/MS analysis showed eight major active constituents in the leaf essential oil of Micromeria biflora Benth. The antibacterial activity of the oil was evaluated against four dental caries causing bacteria such as Streptococcus mutans (MTCC 890); Lactobacillus acidophilus (MTCC 447); Streptococcus mitis (MTCC 2695) and Streptococcus salivarius (MTCC 1938) using broth microdilution method recommended by Clinical Laboratory Standards Institute (CLSI) formely (NCCLS). It’s showed excellent activity against Streptococcus mutans with their Minimum inhibition concentration (MIC) 0.15 mg/ml and (IC50) 0.10 mg/ml and less effective against Lactobacillus acidophilus. The essential oil of Micromeria biflora Benth from leaf has played a significant role against dental caries causing bacteria. Relationships of the dental caries causing pathogens to the toxicity of the oil vis-à -vis phylogeny using molecular data of pathogens have also been discussed. 1Biological Product Laboratory, Dept. of Botany, University of Allahabad, Allahabad-2110022Dept. of Horticulture, Aromatic & Medicinal Plants, Mizoram University, Aizawl-796009, India 3Dental Surgeon, Saumya Dental Clinic, Taigore Town, Allahabad, India*Corresponding author, Email: [email protected], Tel: +919335108519Please Cite This Article As:  Rohit Kumar Mishra, Awadhesh Kumar, Amritesh Chandra Shukla, Pravin Tiwari and Anupam Dikshit. 2010. Quantitative and Rapid Antibacterial Assay of Micromeria biflora Benth. Leaf Essential Oil Against Dental Caries Causing Bacteria Using Phylogenetic Approach. J. Ecobiotechnol. 2(4):22-26
Knowledge Management and its Utilisation : an Overview
No full textThe paper covers different aspects of Knowledge Management(KM) and its
applications. Stress is given to the relevance of KM for organizations. The paper considers KM as a cross-disciplinary domain. The importance of Librarians & Information professionals in KM of organizations is pointed out. Also discusses Knowledge creation and knowledge sharing, the challenges for KM, and different types of knowledge management. Examples of initiatives are also provided
Biochar-Supported TiO<sub>2</sub>-Based Nanocomposites for the Photocatalytic Degradation of Sulfamethoxazole in Water—A Review
No full textSulfamethoxazole (SMX) is a frequently used antibiotic for the treatment of urinary tract, respiratory, and intestinal infections and as a supplement in livestock or fishery farming to boost production. The release of SMX into the environment can lead to the development of antibiotic resistance among the microbial community, which can lead to frequent clinical infections. SMX removal from water is usually done through advanced treatment processes, such as adsorption, photocatalytic oxidation, and biodegradation. Among them, the advanced oxidation process using TiO2 and its composites is being widely used. TiO2 is a widely used photocatalyst; however, it has certain limitations, such as low visible light response and quick recombination of e−/h+ pairs. Integrating the biochar with TiO2 nanoparticles can overcome such limitations. The biochar-supported TiO2 composites showed a significant increase in the photocatalytic activities in the UV-visible range, which resulted in a substantial increase in the degradation of SMX in water. The present review has critically reviewed the methods of biochar TiO2 composite synthesis, the effect of biochar integration with the TiO2 on its physicochemical properties, and the chemical pathways through which the biochar/TiO2 composite degrades the SMX in water or aqueous solution. The degradation of SMX using photocatalysis can be considered a useful model, and the research studies presented in this review will allow extending this area of research on other types of similar pharmaceuticals or pollutants in general in the future
Chemopreventive effect of Indigofera linnaei extract against diethylnitrosamine induced hepatocarcinogenesis in rats
No full textIndigofera linnaei Ali., has been widely used in folk medicine to treat inflammation, liver disorders and swelling of stomach. Earlier studies showed that methanolic extract of Indigofera linnaei (MEIL) possess antioxidant, free radical scavenging, antitumour, anti-inflammatory and analgesic activities but its effect on chemoprevention on chemical induced carcinogenesis have not been studied. Hence the present study is aimed to investigate chemopreventive efficacy of MEIL against diethylnitrosamine (DEN) induced phenobarbital promoted rat liver carcinoma model. Liver tumour was induced in rats by intraperitoneal administration of DEN (200 mg/kg). After two weeks, the carcinogenic effect was promoted by phenobarbital given through drinking water for 16 successive weeks. MEIL (200 and 400 mg/kg/day) and silymarin (200 mg/kg/day) were administered orally for entire study period. After the experimental period, changes in body weight, liver weight, relative liver weight, tumour incidence, antioxidant, serum hepatic parameters, serum specific tumour markers, nucleic acid and protein content were analysed. MEIL treatment significantly increased the body weight, reduced the liver weight and tumour incidence, restored the altered serum hepatic parameters, down-regulated the serum tumour markers such as alpha fetoprotein, carcinoembryonic antigen, vasculoendothelial growth factor and tumor necrosis factor-a. In addition, treatment with MEIL restored the antioxidant enzyme pool and significantly reduced the lipid peroxidation in carcinogen treated animals. MEIL treatment also reduced the elevated levels of nucleic acid levels and restored the protein content in liver tissues. The results suggested that MEIL would be a potent chemopreventive agent inhibiting chemically induced hepatic cancer.Full Tex
Pre-screening systems for early disease prediction, detection, and prevention Advances in medical diagnosis, treatment, and care (AMDTC) book series./ Thierry Edoh, Pravin Pawar, and Sagar Mohammad, editors.
No full textIncludes bibliographical references."This book focuses on using non-invasive biomedical sensor devices, IOT solutions, and knowledge database solutions for pre-screening of diseases so that the risk of disease is reduced, or it can be detected early enough to treat the disease most effectively"--Provided by publisherApplications of machine learning in diseases pre-screening / Upendra Kumar -- Clinical decision support system for early disease detection and management : statistical based early disease detection / Likewin Thomas, M.V. Manoj, B. Annappa -- Fuzzy based predictive analytics for early detection of diabetes / Vijayalakshmi Kakulapati, Devara Vasumathi, S. Mahender -- Internet of things enabled pre-screening for diseases : a novel approach for improvement of the traditional screening for diseases paradigm / Thierry Edoh -- Early diagnosistic model for dengue disease using decision tree based approaches : dengue disease using decision tree approaches / Shalini Gambhir, Yugal Kumar, Sanjay Malik, Geeta Yadav, Amita MalikUbiquitous wearable healthcare monitoring system architectural design for prevention, detection, and monitoring of chronic diseases / Gaurav Paliwal, Aaquil Bunglowala -- Innovative approaches for pre-screening and sensing of diseases / Dharmpal Singh, Gopal Purkait, Abhishek Banerjee, Parag Chatterjee -- Detection and identification of atrial fibrillation and other cardiovascular disorders using FourierBessel expansion and Teager energy operator from electrocardiogram signals / Ashish Sharma, Shivnarayan Patidar, Niranjan Garg -- ICT's expanding role in enhancing social determinants for healthcare outcome prediction / Scott Robinson, Lucina Health -- Machine learning approaches for development of pre-screening systems for diseases / Namrata Singh, Pradeep Singh.1 online resource (1 volume
Data-Driven Approach for Modeling the Mixed Traffic Conditions Using Supervised Machine Learning
No full textThe article describes modeling vehicular movements using supervised machine learning algorithms with trajectory data from heterogeneous non-lane-based traffic conditions. The trajectory data on the mid-block road section of around 540 m is used in the study. Supervised machine learning algorithms are employed to model the vehicular positions. A set of parameters were identified for modeling the longitudinal and lateral positions. With the set of parameters, the algorithm’s potentiality for mimicking vehicular positions is evaluated. It was identified that supervised machine learning algorithms would model the vehicles’ positions with accuracy in the range of 20–60 mean absolute percentage error. The k-NN algorithm was marginally edging past all algorithms and acted as a promising candidate for modeling vehicular positions.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Transport and Plannin
- …
