8,179 research outputs found
Effect of Madhu-Kshara Sutra in the Management of Bhagandara [Fistula-In-Ano]
No full textBhagandara (Fistula-in-ano) is a cumbursome disease which occurs in Anorectal region, it is second commonest disease after haemorroids. In this context, a comparative study was carried out to evaluate the efficacy of Madhu-Kshara Sutra in the management of Bhagandara. It consists of Madhu, Apamarga (Achyranthus Aspera) and Haridra (Curcuma longa). The subjects were treated with Madhu Kshara Sutra in study group and Apamarga Kshara Sutra in control group and the results were encouraging
Bibliographics for the 983 eprints in the live archives of E-LIS : trends and status report up to 7th July 2004, based on author-self-archiving metadata
No full textThe priority for ideas and philosophy related to "Network Theory" have been traced back and documented by Braun(2004),and credit goes to Karinthy(1929).The IT has empowered to realise it, as the most practical phenomena and it is no more a humour. The OAI (Open Archives Initiatives)and ACIS (Academic Contributor Information System)are progressive in the direction ,which may lead to realise the "Collective Genius" at global level. Focus of present study is on Author-Self-Archiving (A-S-A)Metadata of the 983 Eprints in the Live Archives of the E-LIS (EPrints of Library and Information Science),which were approved till 7th July 2004.The A-S-A Metadata was used for librametric analysis. Self-explanatory bibliographics are illustrated.The highlights include: Conference papers (34%); highest approval, June 2004 (28%); published archives (76%);not refereed (52%); not in public domain (60%); highest self-archiving-author (De Robbio, Antonella).The Nos. of EPrints having single JITA domain specifications were: Theoretical and general aspects of libraries and information(27); Information use and sociology of information(80);Users,literacy and reading(13);Libraries as physical collections(30);Publishing and legal issues(57);Management(13);Industry, profession and education(36);Information sources, supports, channels(113) ; Information treatment for information services, Information functions and techniques (101); Technical services libraries, archives and museums(25); Housing technologies(1); Information technology and library technology(92); and Inter-domainery (395) i.e. having specifications of two or more than two JITA classes
A Unified Shell model for Buoyancy-Driven Turbulence
No full textWe construct a unified shell model for stably stratified and convective turbulence. Shell model simulation of stably stratified flow in turbulent regime exhibit Bolgiano-Obukhbov (BO) scaling in which the kinetic energy spectrum varies as . However, simulation of convective turbulence shows Kolmogorov's spectrum. These results are consistent with the direct numerical simulations of Kumar {\em et al.} [Phys. Rev. E {\bf 90}, 023016 (2014)]. We also observe a dual scaling ( and ) for a limited range of parameters in stably stratified flow
Enhancing Contact Center Performance Using Cloud Computing: A Case Study on Telecom Contact Centers
No full textCloud adoption is a critical strategic decision for many
organizations. The high growth potential of the cloud computing
services market attract telecom service providers into this new
investment area for sustainable revenue growth, as it offers a
means to supplement the declining traditional services revenues as
well as profit from their core businesses such as voice and
messaging. Telecom service providers can play many potential
roles in cloud ecosystem including those of a cloud customer,
enabler, partner and/or broker by using their inherent advantages
that give them an edge over other traditional cloud computing
service providers. There are two main reasons why telecom
service providers should consider becoming engaged in cloud
computing- to reap the benefits of cloud computing for IT
optimization and to exploit new business opportunities. This work
is focused on potential impact of cloud computing on operational
performance in a telecom contact center through IT optimization
Predicting facebook-users' personality based on status and linguistic features via flexible regression analysis techniques
No full textPredicting facebook-users' personality based on status and linguistic features via flexible regression analysis technique
A Comparative Clinical Study to Evaluate the Efficacy of Yastimadhu Ghrita and Tila Kalka Madhu Ghrita in the Management of Sadhyo Vrana
No full textSadhyo Vrana (acute wounds) is a common clinical condition that requires prompt and effective management to promote faster healing and prevent complications. Ayurveda offers various formulations for wound healing, among which Yastimadhu Ghrita and Tila Kalka Madhu Ghrita are known for their Vrana Ropana (wound-healing) properties. Objective: This study aims to compare the efficacy of Yastimadhu Ghrita and Tila Kalka Madhu Ghrita in the management of Sadhyo Vrana based on clinical parameters such as pain, inflammation, wound contraction, and epithelialization time. Methodology: A randomized comparative clinical trial was conducted on patients presenting with Sadhyo Vrana. Participants were divided into two groups: Group A received Yastimadhu Ghrita, and Group B received Tila Kalka Madhu Ghrita as local applications. The progress of wound healing was assessed using standard parameters, including pain reduction, exudate control, granulation tissue formation, and complete wound closure. Results: Both formulations showed significant improvement in wound healing. Yastimadhu Ghrita was more effective in reducing pain and inflammation due to its Shothahara (anti-inflammatory) and Vata-Pitta Shamaka properties. Tila Kalka Madhu Ghrita, with its Ropana and Vrana Shodhana (wound cleansing) effects, demonstrated faster granulation tissue formation and wound contraction. Conclusion: Both Yastimadhu Ghrita and Tila Kalka Madhu Ghrita are effective in the management of Sadhyo Vrana. However, Yastimadhu Ghrita is preferable for pain and inflammation, while Tila Kalka Madhu Ghrita promotes faster wound healing. Further studies with larger sample sizes are recommended
Story of the Story-Teller: A Conversation with Ramendra Kumar
No full textRamendra Kumar (Ramen) is an award-winning writer, storyteller and inspirational speaker with 42 books to his name. Ramen’s writings have been published by many of the leading publishers in the county and translated into 30 languages. They have found a place in several textbooks and anthologies. He has written across all genres ranging from picture books to adult fiction, satire, poetry, travelogues, biographies and on issues related to parenting and relationships. He has been invited to literary festivals held in Denmark, Greece, Sharjah, Sri Lanka as well Indian events including the prestigious Jaipur Litfest to conduct storytelling sessions and creative writing workshops. He has also been empanelled by Pearson India Education Services as well as several schools to conduct workshops. He was nominated as a Jury Member for the Best Children’s Author Category of The Times of India’s ‘Women AutHer’ Awards 2020. Many of his stories have been showcased by popular audio streaming, apps both within and outside the country, such as Spotify, Gaatha, Talking Stories Radio – London et al.
An Engineer & an MBA, Ramen was serving as the General Manager (Corporate Communications), SAIL, Rourkela Steel Plant, when he took Voluntary Retirement to pursue his passion, in August 2020. To know more about the writer, you can visit his website www.ramendra.in & his page on Wikipedia. Dr. Sagar Kumar Sharma interviews the author and unfolds the pages of his life.
 
Automatic Big Data Provenance Capture at Middleware Level in Advanced Big Data Frameworks
No full textHuge amounts of data are being generated by IoT devices, and are termed as ‘Big Data’. Big Data needs to be reliably stored and analyzed. Capturing provenance of such data provides a mechanism to explain the result of data analyt-ics, and provides greater trustworthiness to the insights gathered from data analyt-ics. Capturing the provenance of the data stored in NoSQL databases can help to understand how the data reached its current state. A holistic explanation of the re-sults of data analytics can be achieved through the combination of provenance in-formation of the data with results of analytics. This chapter explores the challenges of automatic provenance capture at the middleware level in three different contexts – in an analytics framework like MapReduce, NoSQL data stores analyzed using the MapReduce framework and in NoSQL stores with SQL front ends. The chapter also portrays how the provenance captured in the MapReduce framework is useful for improving the future executions of job re-runs and anomaly detection, apart from its use in debugging
ANTIOXIDANT PROPERTIES IN METHANOLIC EXTRACT OF PSORALEA CORYLIFOLIA, AMMI MAJUS AND MUCUNA PURIENS MEDICINAL PLANTS OF WESTERN HIMALAYAS USED IN VITILIGO DISORDER
No full textHarsahay Meena*, Hemant Kumar Pandey, Mohd. Nasim and Madhu Bal
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