1,281 research outputs found
Green approaches to biocomposite materials science and engineering/ Deepak Verma, Siddharth Jain, Xiaolei Zhang, and Prakash Chandra Gope, editors.
No full textIncludes bibliographical references and index."This book explores timely research on the various available types of natural fibers and the use of these fibers as a sustainable alternative to synthetic fibers and polymers by emphasizing research-based solutions for sustainability across various industries"--Provided by publisher.Natural fibers for the production of green composites / Xiaolei Zhang [and 3 others] -- Processing technologies for green composites production / Deepak Verma, Garvit Joshi, Rajneesh Dabral -- Concurrent design of green composites / Muhd Ridzuan Mansor [and 5 others] -- Effect of bamboo hybridization and staking sequence on mechanical behavior of bamboo-glass hybrid composite / Piyush P. Gohil [and 3 others] -- Estimation of mechanical and tribological properties of epoxy-based green composites / Supriyo Roy [and 3 others] -- Fabrication and processing of pineapple leaf fiber reinforced composites / S. H. Sheikh Md. Fadzullah, Zaleha Mustafa -- Green composites and their properties: a brief introduction / Deepak Verma [and 4 others] -- Rice husk reinforcement in polymer composites / Sanjay Sharma, Deepak Verma -- Techno-economic and life cycle assessment for the production of green composites / Siddharth Jain, Xiaolei Zhang -- Banana fiber reinforcement and application in composites: a review / Abhinav Shandilya, Ayush Gupta, Deepak Verma -- Bamboo fiber-reinforced composites / Irem Sanal -- Coir fiber-reinforced composites / Irem Sanal.1 online resource (322 pages)
FIGURE 8 in New record of Megalestes gyalsey Gyeltshen, Kalkman & Orr, 2017 (Zygoptera Synlestidae) from India, with first description of female and larva
No full textFIGURE 8. Geographical distribution of Megalestes gyalsey.Published as part of Payra, Arajush, Dawn, Prosenjit, Subramanian, K. A., Deepak, C. K., Chandra, Kailash & Tripathy, Basudev, 2021, New record of Megalestes gyalsey Gyeltshen, Kalkman & Orr, 2017 (Zygoptera Synlestidae) from India, with first description of female and larva, pp. 233-242 in Zootaxa 4938 (2) on page 241, DOI: 10.11646/zootaxa.4938.2.4, http://zenodo.org/record/456386
Reconstruction of Mahabharata\u27s Violence and Politics in Deepak Chandra\u27s Novel \u27Kurukshetra Dwaipayana\u27: A Review/ দীপক চন্দ্রের ‘কুরুক্ষেত্রে দ্বৈপায়ন’ উপন্যাসে মহাভারতের প্রতিহিংসা ও রাজনীতির পুনর্নির্মাণ : একটি পর্যালোচনা
No full textKrishna Dvaipayana (Vyasadeva) is the author of the Mahabharata and an important character in the Mahabharata. He is not a king, nor is he a Kshatriya. He is the son of Parashara Muni and Satyavati. He was a learned scholar. Deepak Chandra\u27s novel ‘Kurukshetra Dvaipayana’ shows him as a politician and a person who is obsessed with revenge. Revenge paved the way for politics in the Mahabharata. This revenge was born in the mind of Vyasadeva, the creator of the Mahabharata. How the desire for revenge led to the great war of Kurukshetra. That has been newly embodied in Deepak Chandra\u27s novel Kurukshetra Dvaipayana. The neglect of the lower castes by the upper castes pained Vyasadeva\u27s mind. He could not accept the disrespect and neglect done by his father to his mother. Similarly, he could never forget the humiliation and humiliation done by Ambika, the wife of Vichitravirya. He took revenge on Ambika\u27s son Dhritarashtra. Vyasadeva\u27s revenge ended with the death of Duryodhana. In the Mahabharata, Vyasadeva represented the non-Aryans and the lower castes. The war in the Mahabharata was actually the result of his revenge on the Aryans. For this, he followed the path of diplomacy. That is why he is seen favoring the Pandavas in the Mahabharata. Along with this, the rivalry between Bhishma and Dwaipayana is highlighted. Neither of them is a king. However, both of them were present in politics. One outside, the other inside. Their fight was going on behind everyone\u27s eyes. They were jealous of each other. They made many different plans to maintain their honor and existence in the family. Their rivalry, anger, jealousy, and cunning political activities are described in this novel. The novelist has presented a different side of the politics of the Mahabharata to the reader through his own perspective
Recommended from our members
Relational Care - with Mary Larkin and Manik Deepak-Gopinath [Podcast]
No full textWhat is 'relational care' and how can it improve the day-to-day experience of carers and those they care for? What are its implications for relationships between staff and service users in care settings? And how does the concept of relational care enable us to re-imagine the role of place and space in the experience of care? These are some of the questions we explore in this episode with Mary Larkin and Manik Deepak-Gopinath who recently completed a research project on the value and practice of relational care with older people.
Mary is Professor of Care, Carers and Caring at The Open University in the UK, where her research has focused on carers and caring and adult social care. She is the co-author, most recently of Family Carers and Caring, published in 2023 by Emerald. Manik is a Lecturer in Ageing, also at The Open University, and is a critical gerontologist with interests in the intersection of ageing, place and wellbeing, and in the intimate and family ties of older adults
My Name Is Deepak
No full textThis chapter looks at the author's responses to being given a nickname by his co-workers: Tupac. They do it in a friendly manner, but the author doesn’t understand the connection with the American rapper. It makes him think about who he is, his identity, and how people see him in his adopted country.</p
FIGURE 2 in New record of Megalestes gyalsey Gyeltshen, Kalkman & Orr, 2017 (Zygoptera Synlestidae) from India, with first description of female and larva
No full textFIGURE 2. Male of M. gyalsey (Neora Valley NP, West Bengal): (A) head and thorax, dorsal view; (B) thorax, lateral view; (C) anal appendages, lateral view; (D) terminal segments and anal appendages, dorsal view; (E) head, frontal view; (F) right fore and hind wing (Photos: PD).Published as part of Payra, Arajush, Dawn, Prosenjit, Subramanian, K. A., Deepak, C. K., Chandra, Kailash & Tripathy, Basudev, 2021, New record of Megalestes gyalsey Gyeltshen, Kalkman & Orr, 2017 (Zygoptera Synlestidae) from India, with first description of female and larva, pp. 233-242 in Zootaxa 4938 (2) on page 236, DOI: 10.11646/zootaxa.4938.2.4, http://zenodo.org/record/456386
Sideffective - system to mine patient reviews: sentiment analysis
No full textSideffective is the system to crawl, rank and analyze patient testimonials about side ffeects from common medications. Since the wealth of any mining model is the Data corpus, the data collection phase involved extensive crawling of massive medical websites comprised of user forums from the internet. Subsequently, the raw files were subjected to certain site-specific parsing routines, yielding outputs conforming to a well-defined data model. Currently, the system holds close to 400,000 user testimonials pertaining to more than 2500 drugs/medicines. Sideffective aims at gathering and aggregating this wealth of information, build useful associations and present interesting observations and numeric validations, all in a user-friendly interface. The important issues that we have tried to tackle are: Extracting side effects without relying on pre-built lists, aggregating distribution of different side effect for a give drug, site-specific search, ranking and determining the negativity of reviews. The system has been jointly built by Deepak Yalamanchi and Sangeetha Rajagopalan under the guidance of Prof. Tomasz Imielinski. This thesis focuses mainly on Sentiment Analysis of patient reviews. While most existing sentiment analysis systems are predicated by POS (parts of speech) tagging or Bayesian sentiment analysis methods, the same cannot be applied to medical reviews as they generally carry a negative flavor in them. We thereby approached the problem by identifying the features in the sentence and calibrating the sentiment on a Negativity Meter based on their relation to sentiment words. A feature, as defined for the purpose of this thesis, can be a medicine, a side effect or a symptom. The sentiment of each feature is determined by the aggregate of all its polarities with respect to each sentiment word, where the polarity is determined by an inverse relation to the distance of the feature from the sentiment word. Each sentence is then evaluated by the cumulative polarity of all the features contained in it. Sentiment of a review is determined by individually determining the sentiment of each sentence and then getting a weighted sum score of all the sentences in the review. The accuracy of a sentiment analysis system is, in principle, how well it agrees with human judgments. Experimental results, involving human reviewers (extracted from site: www.askapatient.com) and correlating them back to the negativity rating of each review yield conclusive results, demonstrating the effectiveness of the technique. We have also implemented a customized Lucene search on the data using a multi-review summarization approach and a ranking scheme based on the feature-list. Ranking priority is given to the review that has the largest feature list size.M.S.Includes bibliographical referencesby Deepak Yalamanch
Mining social media text for disaster resource management using a feature selection based on forest optimization
No full textResource management is an essential task that needs to be performed by the government or any disaster management agency during natural disasters. During these critical circumstances, people mostly depend upon a social media platform to share and collect information about the situation of the affected localities. The huge volume of real-time data can be useful in disaster assessment, response, and relief activities. We have presented a system which analyzes tweets during natural disasters and categorizes them according to the availability or need for general or medical resources along with their location information (if any) mentioned in the tweets. Several statistical classifiers are applied to show their usefulness for a better solution. Optimal feature representation is the heart of any machine learning based classification model. Here, we have applied a forest optimization-based wrapper feature selection algorithm to improve the classification accuracy. FIRE, SMERP, and CrisisLex dataset are used to evaluate our system and its effectiveness is demonstrated for smooth management of the resources. From the experimentation, it is found that forest optimization algorithm (FOA) wrapped multinomial naive bayes classifier gives an accuracy of 91.41 percent and f-measure of 88.33 percent on the FIRE dataset. The execution time of the model is quite less which will be very helpful for this challenging task
Amplified Last-Glacial-Maximum response of Chandra valley (western Himalaya) glaciers
No full textGeomorphological evidence suggests a subdued response of Himalayan glaciers during the Last Glacial Maximum (LGM), with relatively minor advances (~10 km) reported in several glacierised valleys across the region. This supports the hypothesis that a weakened Indian summer monsoon during the LGM largely counterbalanced the effects of a colder climate on Himalayan glaciers. In contrast, a recently reported major LGM advance (>100 km) along the main trunk of Chandra valley, western Himalaya, led to an alternative hypothesis that Himalayan glaciers did respond strongly to reduced LGM temperatures, in harmony with other glacierised regions in the world. We investigate this distinctive LGM response of Chandra valley glaciers using a two-dimensional ice-flow model, to show that this massive LGM advance was driven by a relatively modest lowering of equilibrium line altitude (ELA) by ~300 m. The vigourous response of Chandra valley glaciers to the ELA perturbations was governed by their high climate sensitivity due to the gentle slope of the main trunk valley. The relatively low value of estimated ELA change in this valley compares favourably with careful estimates reported from other parts of the Himalaya, indicating a prevalent weak climate forcing of glaciers in and around the Himalaya during the LGM. (This is a preprint of an article under review in Geology
AND
No full textAbstract. We determine what information about failures is necessary and sufficient to solve Consensus in asynchronous distributed systems subject to crash failures. In Chandra and Toueg [1996], it is shown that {�, a failure detector that provides surprisingly little information about which processes have crashed, is sufficient to solve Consensus in asynchronous systems with a majority of correct processes. In this paper, we prove that to solve Consensus, any failure detector has to provide at least as much information as {�. Thus, { � is indeed the weakest failure detector for solving Consensus in asynchronous systems with a majority of correct processes
- …
