116 research outputs found
The Needs of the Stakeholders are the Seeds of Growth for the Organisation (Interview with Mr. G. Narayana)
No full textA rare interview with a well-regarded leader of commerce in India is presented by the author, Dr. Shashank Shah. The interviewee, Mr. G. Narayana, is Chairman Emeritus of Excel Industries Ltd. (Excel). Mr. Narayana is noted for his ability to positively motivate people through kindness and the integration of spirituality in the workplace. His brand of leadership is characterized by a type of management philosophy that integrates the scientific principles of the West with the profound thought of Indian scriptures
Professional NoSQL
No full textA hands-on guide to leveraging NoSQL databases NoSQL databases are an efficient and powerful tool for storing and manipulating vast quantities of data. Most NoSQL databases scale well as data grows. In addition, they are often malleable and flexible enough to accommodate semi-structured and sparse data sets. This comprehensive hands-on guide presents fundamental concepts and practical solutions for getting you ready to use NoSQL databases. Expert author Shashank Tiwari begins with a helpful introduction on the subject of NoSQL, explains its characteristics and typical uses, and looks at wher
Synthetic Network Creation and Visualization
No full textThe code in the repository, “synthetic_network_creation_and_visualization” is inspired by the foundational work presented in NetProbe: A Fast and Scalable System for Fraud Detection in Online Auction Networks by Shashank Pandit, Duen Horng Chau, Samuel Wang, and Christos Faloutsos.Link to the original paper:https://kilthub.cmu.edu..
FastRecover: simple and effective fault recovery in a distributed operator-based stream processing engine
No full textFault tolerance is a key requirement in large-scale distributed stream processing engines (SPEs), especially those that run atop commodity hardware. Currently, fault tolerance in popular distributed SPEs is either inadequate (e.g., those without automatic recovery of operator states) or complex and inefficient (e.g., those with transactional semantics). There are two major considerations in the design of an effective fault tolerance mechanism: the overhead of additional checkpointing operations during normal processing, and the time required to recover and return to normal processing when a failure happens. The main challenge lies in that faster recovery requires higher checkpointing overhead, and vice versa.
This thesis presents FastRecover, a novel fault tolerance mechanism for distributed SPEs that strikes a balance between recovery time and checkpointing overhead. Specifically, given an application topology consisting of interconnected operators, and an upper bound on checkpoint overhead, FastRecover computes the optimal expected recovery time, as well as the strategy used for checkpointing and recovery in each operator. The main idea of FastRecover is to compute an optimal partitioning of the streaming operator topology into independent segments; for each segment, FastRecover backs up its input tuples and periodically checkpoints the states of operators therein. During recovery for a particular segment, FastRecover restores each affected operator state in the segment to the latest checkpoint, and replays the inputs of the segment since then. Both checkpointing and recovery utilize the parallel processing capabilities of the distributed SPE. Extensive experiments demonstrate that FastRecover achieves an average of 50% reduction in expected recovery time compared to simple solutions. The experiments also show that the total expected recovery time varies proportionally to the total computational recovery time and recovery latency in tests with simulated failures, and hence is a good measure to optimize.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2018-05-01The student, Shashank Yaduvanshi, accepted the attached license on 2016-04-26 at 10:44.The student, Shashank Yaduvanshi, submitted this Thesis for approval on 2016-04-26 at 10:47.This Thesis was approved for publication on 2016-04-27 at 09:19.DSpace SAF Submission Ingestion Package generated from Vireo submission #9498 on 2016-07-07 at 13:50:55Made available in DSpace on 2016-07-07T20:35:17Z (GMT). No. of bitstreams: 2
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Comparison of Long-Term Outcomes in Patients with Supratentorial Spontaneous Intracerebral Hemorrhage Treated with and without Surgical Intervention
No full textOriginal Article
Comparison of Long-Term Outcomes in Patients with Supratentorial Spontaneous Intracerebral Hemorrhage Treated with and without Surgical Intervention
Sharma, Agrata*; Agarwal, Ayush*; Garg, Ajay1; Vishnu, Venugopalan Y; Nilima, N2; Bhatia, Rohit; Garg, Divyani; Pandit, Awadh K; Joseph, Leve1; Billa, Srujana; Singh, Manmohan3; Suri, Ashish3; Kale, Shashank S3; Gaikwad, Shailesh B1; Srivastava, MV Padma
Author Information
Annals of Indian Academy of Neurology 28(2):p 220-226, Mar–Apr 2025. | DOI: 10.4103/aian.aian_497_24
Open
Abstract
Background and Objectives:
Intracerebral hemorrhage (ICH) is associated with high mortality and morbidity. Uncertainty still exists regarding the benefit of surgery in the management of supratentorial spontaneous ICH (sICH), especially of the basal ganglia and thalamus. Studies have not shown the clinical benefit of early surgical management compared to best medical management plus delayed surgery, when necessary. Our aim was to compare the efficacy of different neurosurgical interventions with best medical management and best medical management alone.
Methods:
We conducted a single-center, retrospective study at a tertiary care center in India in sICH patients between January 2015 and December 2022. The primary outcome was functional disability evaluated by the modified Rankin Scale (mRS) at 3, 6, and 12 months. Time-to-event outcomes were compared using the Kaplan–Meier curve.
Results:
Among 2600 stroke patients screened, 661 had sICH. Median age was 55 years, and 250 patients (37.8%) underwent neurosurgical intervention. The most common intervention was craniotomy and hematoma evacuation. The median mRS at discharge and follow-up at 3, 6, and 12 months was lower in the conservatively managed group (4, 3, 3, and 3, respectively) compared to the surgical intervention group (5, 5, 5, 4, respectively). However, the ICH score at admission was lower in the conservatively managed group and after adjustment for ICH score, there was no statistically significant difference between the two. Among the interventions, patients undergoing decompression craniectomy had the best functional outcome.
Conclusions:
Neurosurgical intervention was not associated with better functional outcome when compared to conservative management
The surprising effectiveness of explicit semantic analysis in dataless classification
No full textOrganizing textual content into broad labels is one of the most basic tasks that some people carry out on a regular basis. This simple task helps people navigate through large document collections by exposing the labels of the documents, which can then be used for selecting the documents of interest. Currently, the most popular techniques for providing this basic functionality are supervised in nature, wherein someone has to annotate a collection of documents with the labels of interest. However, it might not always be possible to create a sizeable labeled dataset for every scenario or domain of interest. Thus, techniques like “Dataless Classification” have been proposed in the past that are able to bootstrap the creation of a classifier by only requiring semantic descriptions of the labels. However, despite the encouraging performance of Dataless Classification on Text Classification tasks, there is still a room for large improvement. In this thesis, we identify the limitations of ESA-driven Dataless Classification and systematically design techniques for addressing each limitation. In the process, we end up developing 4 new embeddings – EntityESA, Entity2Vec, Topic2Vec and Word2Concept. However, despite our best efforts, we found it difficult to outperform the original Dataless Classification system. For some of the techniques we provide an explanation for this observed behavior, however we also attribute some of these observations to the datasets that are being used for evaluation purposes. We then propose a way to create a new dataset that can used for future Dataless evaluations. The new embedding methods proposed in this work are generic enough that they can be of independent interest as well.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2021-08-01The student, Shashank Gupta, accepted the attached license on 2019-07-15 at 16:16.The student, Shashank Gupta, submitted this Thesis for approval on 2019-07-15 at 16:30.This Thesis was approved for publication on 2019-07-16 at 09:00.DSpace SAF Submission Ingestion Package generated from Vireo submission #14330 on 2019-11-26 at 13:05:59Made available in DSpace on 2019-11-26T20:49:31Z (GMT). No. of bitstreams: 2
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Study of polylysine and chitosan nanoparticles synthesized using various cross-linkers and their applications for heavy metal ion recovery
No full textNanotechnology offers the possibility of an e ective and efficient removal of pollutants from waste water. This removal of pollutants and heavy metal ions is being accomplished using nanoparticles, nanomembranes and nano powders of various materials. Chitosan, a polysaccharide, and polylysine, a polypeptide, have been receiving increasing attention for their metal scavenging and sequestering properties. One part of this study focused on synthesizing nanoparticles of polylysine, chitosan and mixed chitosanpolylysine nanoparticles using various cross-linkers involving ionic and covalent interactions. The effect of pH on the type of bonding between polymers and cross-linkers as well as the properties of nanoparticle suspensions were studied. Nanoparticles synthesized were characterized based on their size and zeta potential using dynamic light scattering techniques. Second part of the study focused on using these nanoparticles for adsorbing copper from aqueous solutions and analyzing the amount of adsorption using NMR spectroscopy technique.M.S.Includes bibliographical referencesby Shashank Kosur
Navigationaided retrieval
No full textUsers searching for information in hypermedia environments often perform querying followed by manual navigation. Yet, the conventional text/hypertext retrieval paradigm does not explicity take post-query navigation into account. This paper proposes a new retrieval paradigm, called navigationaided retrieval (NAR), which treats both querying and navigation as first-class activities. In the NAR paradigm, querying is seen as a means to identify starting points for navigation, and navigation is guided based on information supplied in the query. NAR is a generalization of the conventional probabilistic information retrieval paradigm, which implicitly assumes no navigation takes place. This paper presents a formal model for navigation-aided retrieval, and reports empirical results that point to the real-world applicability of the model. The experiments were performed over a large Web corpus provided by TREC, using human judgments on a new rating scale developed for navigation-aided retrieval. In the case of ambiguous queries, the new retrieval model identifies good starting points for post-query navigation. For less ambiguous queries that need not be paired with navigation, the output closely matches that of a conventional retrieval system
WWW 2007 / Track: Search Session: Search Potpourri ABSTRACT Navigation-Aided Retrieval
No full textUsers searching for information in hypermedia environments often perform querying followed by manual navigation. Yet, the conventional text/hypertext retrieval paradigm does not explicity take post-query navigation into account. This paper proposes a new retrieval paradigm, called navigationaided retrieval (NAR), which treats both querying and navigation as first-class activities. In the NAR paradigm, querying is seen as a means to identify starting points for navigation, and navigation is guided based on information supplied in the query. NAR is a generalization of the conventional probabilistic information retrieval paradigm, which implicitly assumes no navigation takes place. This paper presents a formal model for navigation-aided retrieval, and reports empirical results that point to the real-world applicability of the model. The experiments were performed over a large Web corpus provided by TREC, using human judgments on a new rating scale developed for navigation-aided retrieval. In the case of ambiguous queries, the new retrieval model identifies good starting points for post-query navigation. For less ambiguous queries that need not be paired with navigation, the output closely matches that of a conventional retrieval system
Lipid-based nutrient supplement to address child undernutrition and enteric parasitic infections in India
No full textUndernutrition is an outcome of insufficient food intake and repeated infectious diseases. Lipid-based nutrient supplements (LNS) are calorie and nutrient dense food products that are suitable to complement most food rations due to their long shelf life and convenience. Although available in other markets, staple-based LNS for India do not exist. More importantly, no currently available LNS formulations address the other immediate causes of undernutrition such as parasitic infections and gut inflammation in children. The objective of this study was to develop advanced LNS 2.0 with improved shelf stability, consumer acceptability, and antiparasitic activity via added oregano essential oil (OEO) bioactives.
LNS were formulated using Indian staple dairy ingredients, and optimized using Response Surface Methodology (RSM) via face centered composite design with four factors and three coded levels: antioxidant (ascorbyl palmitate; at 0.0, 0.01, 0.03%), emulsifier (soy lecithin; at 0.5, 1.0, 1.5%), omega-3 (flaxseed oil (FO); at 0, 5, 10%) and accelerated storage temperature and time (23 and 40±2°C; at 0, 3, 6 months). Consumer acceptability was assessed using a 9-point hedonic scale among Indian mothers and students. Next, a dual modality in vitro cell culture model was employed to investigate the effect of OEO and its main bioactive carvacrol on prevention of parasite C. parvum invasion and infection of HCT-8 cells. Finally, β-Cyclodextrin (β-CyD) encapsulation of OEO and carvacrol (1:1 molar) was utilized to mask the potent flavor of bioactives, and achieve controlled intestinal delivery of bioactives, measured using triangle sensory test and 2-phase in-vitro digestion model, respectively.
Optimal levels to maximize storage time and flaxseed oil and minimize oxidation were found as 0.02% antioxidant 1.5% emulsifier, and 4.9% FO. LNS formulations were found acceptable with or without FO similar to other commercial supplements. OEO and carvacrol were found to reduce relative C. parvum infectivity in a dose-dependent manner to 55.6 ± 10.4% and 45.8 ± 4.1% at 60 and 30 μg/mL of OEO and CV, respectively. Lastly, β-CyD complexes of OEO and CV were found significantly stable (p<0.05) through the gastric and intestinal phase enabling their potential release in colon via fermentation by colonic microflora. Triangle tests revealed no significant difference in color, smell, and taste between LNS with and without β-CyD-OEO complexes. In conclusion, staple-based LNS functionalized with β-CyD-OEO complex were feasible and can potentiate their application in addressing undernutrition and parasitic infections in at-risk populations.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2019-08-01The student, Shashank Gaur, accepted the attached license on 2017-06-14 at 18:43.The student, Shashank Gaur, submitted this Dissertation for approval on 2017-06-14 at 18:58.This Dissertation was approved for publication on 2017-06-20 at 13:20.DSpace SAF Submission Ingestion Package generated from Vireo submission #11224 on 2017-09-29 at 11:13:44Made available in DSpace on 2017-09-29T16:39:10Z (GMT). No. of bitstreams: 2
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