3,393 research outputs found
Skills development and training of vulnerable youth from low-income households using quasi experimental research
No full textThe need to distinguish and bring the vulnerable group out of the general population and make a strong case to address their needs is significant. This comprehensive dataset includes relevant variables that can help identify vulnerable youth and design customized intervention that includes flexibility, financial aid, mentorship, and counselling that may help mitigate risk factors. 432 students were mobilized from SHGs, night schools, government schools and NIOS. Data for demographic, personal, and educational characteristics were collected from personal interviews and online questionnaire in multiple stages of intervention. A set of 130 closely matched students were selected from the larger database and subsequently divided into experiment and control groups. Data to test outcome was generated pre- and post-intervention using a 5-point Likert scale questionnaire consisting of 20 questions, divided into 3 domains. Scores were assigned to create a weighted baseline index with a score range of 20 to 100 in each domain. SATA was utilized to analyze data. Data collection process is conditioned to maintain equality of two groups that are subject to quasi-experiment. Relevant economic and social variables to identify vulnerability patterns and their possible bearing on vocational training requirements are closely matched. Due to the small sample size, Skewness-Kurtosis test for Normality is used to ensure data follows normal distribution and to test the validity of t-test
sj-pdf-1-hhc-10.1177_10848223231196301 – Supplemental material for The Home Healthcare Boom: Opportunities and Obstacles in India’s Changing Healthcare Landscape
No full textSupplemental material, sj-pdf-1-hhc-10.1177_10848223231196301 for The Home Healthcare Boom: Opportunities and Obstacles in India’s Changing Healthcare Landscape by Pallavi Gupta, Sonali Randhawa and Sunil Nandraj in Home Health Care Management & Practice</p
Teaching English as a Second Language
No full textPallavi Gupta
Assistant Professor (English and Professional Communication)
Applied Sciences and Humanities
IMS Engineering College, Ghaziabad
India
Abstract
Proficiency of a teacher cannot be judged by his/ her presence in the classroom and initiates communication with students in English language. It is the responsibility of an ideal teacher to make his/her students comfortable in his/ her presence first and then tries to know them and helps them to understand his/ her lectures.
A teacher must pay attention on both kinds of teaching- theoretical as well as practical knowledge so that he/ she may motivate his/ her students to learn this language with enjoyment and excitement and the students may have better opportunities in their professional career
Exploring model parallelism in distributed scheduling of neural network frameworks
No full textThe growth in size and computational requirements in training Neural Networks (NN) over the past few years has led to an increase in their sizes. In many cases, the networks can grow so large that can no longer fit on a single machine. A model parallel approach, backed by partitioning of Neural Networks and placement of operators on devices in a distributed system, provides a better distributed solution to this problem. In this thesis, we motivate the case for device placement in Neural Networks. We propose, analyze and evaluate mSCT, a polynomial time algorithmic solution to this end. Additionally, we formulate an exponential time optimal ILP solution that models the placement problem. We summarize our contributions as:
1. We propose a theoretical solution to the memory constrained placement problem with makespan and approximation ratio guarantees.
2. We compare and contrast m-SCT with other state of the art scheduling algorithms in a simulation environment and show that it consistently performs well on real world graphs across a variety of network bandwidths and memory constraints.
3. We lay the foundation for the experimental evaluation of the proposed solutions in existing Machine Learning frameworks.Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2018-09-27 without embargo termsThe student, Pallavi Srivastava, accepted the attached license on 2018-07-19 at 12:45.The student, Pallavi Srivastava, submitted this Thesis for approval on 2018-07-19 at 12:51.This Thesis was approved for publication on 2018-07-20 at 10:52.DSpace SAF Submission Ingestion Package generated from Vireo submission #12942 on 2018-09-27 at 10:50:21Made available in DSpace on 2018-09-27T16:18:03Z (GMT). No. of bitstreams: 2
SRIVASTAVA-THESIS-2018.pdf: 1201565 bytes, checksum: c2691b3e6c18ec19acaba0fa936d7cac (MD5)
LICENSE.txt: 4215 bytes, checksum: da4dcb63bf484c9aaa9d69fdae86c182 (MD5)
Previous issue date: 2018-07-2
On the (Parameterized) Complexity of Almost Stable Marriage
No full textIn the Stable Marriage problem, when the preference lists are complete, all agents of the smaller side can be matched. However, this need not be true when preference lists are incomplete. In most real-life situations, where agents participate in the matching market voluntarily and submit their preferences, it is natural to assume that each agent wants to be matched to someone in his/her preference list as opposed to being unmatched. In light of the Rural Hospital Theorem, we have to relax the "no blocking pair" condition for stable matchings in order to match more agents. In this paper, we study the question of matching more agents with fewest possible blocking edges. In particular, the goal is to find a matching whose size exceeds that of a stable matching in the graph by at least t and has at most k blocking edges. We study this question in the realm of parameterized complexity with respect to several natural parameters, k,t,d, where d is the maximum length of a preference list. Unfortunately, the problem remains intractable even for the combined parameter k+t+d. Thus, we extend our study to the local search variant of this problem, in which we search for a matching that not only fulfills each of the above conditions but is "closest", in terms of its symmetric difference to the given stable matching, and obtain an FPT algorithm
Data for Gupta et al., "Estimating the Meridional Extent of Adiabatic Mixing in the Stratosphere using Age-of-Air", JGR:Atmospheres,
No full textModel data and post-processed data supporting the creation of the manuscript "Estimating the Meridional Extent of Adiabatic Mixing in the Stratosphere using Age-of-Air" submitted to JGR:Atmospheres in August 2022.
1) The netCDF files created through post-processing of full model data in FORTRAN are shared in the /data/ directory. These file contains the zonal mean circulation statistics based on Gupta et al. (2020), age-of-air transport diagnostics based on Linz et al. (2021), and the novel \Gamma-\Theta circulation streamfunction introduced in this study. The /data/ directory also contains MATLAB .mat data files for the transport diagnostics obtained from WACCM. 150 days of actual GFDL-FV3 model data in the northern hemisphere, between 0.1 hPa-500 hPa pressure levels is also provided to support external computations and validation.
2) The Jupyter notebook used for final computation and figures production is provided in .ipynb, .html and .pdf formats in /code/. All the files referred to in the notebook are stored in the /data/ directory.
Corresponding author : Aman Gupta, [email protected], [email protected], [email protected]
Corrigendum: Capital Inflows and House Prices: Aggregate and Regional Evidence from China
No full textIn the paper ‘Capital Inflows and House Prices: Aggregate and Regional Evidence from China’ by H. An, et al., printed in the December 2016 issue, there was a missing acknowledgement section for funding resources.
On page 451, the acknowledgement section should appear after the corresponding information as:
“Correspondence: Rakesh Gupta, Department of Accounting, Finance and Economics, Griffith Business School, Griffith University, Nathan Campus QLD 4111. [email protected]
*This work was financially supported by the Humanities and Social Science Foundation of Ministry of Education of China (16YJA790001).”
The author apologises for this error and any confusion it may have caused.No Full Tex
Tubulin CFEOM mutations both inhibit or activate kinesin motor activity
No full textKinesin-mediated transport along microtubules is critical for axon development and health. Mutations in the kinesin Kif21a, or the microtubule subunit β-tubulin, inhibit axon growth and/or maintenance resulting in the eye-movement disorder congenital fibrosis of the extraocular muscles (CFEOM). While most examined CFEOM-causing β-tubulin mutations inhibit kinesin–microtubule interactions, Kif21a mutations activate the motor protein. These contrasting observations have led to opposed models of inhibited or hyperactive Kif21a in CFEOM. We show that, contrary to other CFEOM-causing β-tubulin mutations, R380C enhances kinesin activity. Expression of β-tubulin-R380C increases kinesin-mediated peroxisome transport in S2 cells. The binding frequency, percent motile engagements, run length and plus-end dwell time of Kif21a are also elevated on β-tubulin-R380C compared with wildtype microtubules in vitro. This conserved effect persists across tubulins from multiple species and kinesins from different families. The enhanced activity is independent of tail-mediated kinesin autoinhibition and thus utilizes a mechanism distinct from CFEOM-causing Kif21a mutations. Using molecular dynamics, we visualize how β-tubulin-R380C allosterically alters critical structural elements within the kinesin motor domain, suggesting a basis for the enhanced motility. These findings resolve the disparate models and confirm that inhibited or increased kinesin activity can both contribute to CFEOM. They also demonstrate the microtubule’s role in regulating kinesins and highlight the importance of balanced transport for cellular and organismal health.This article is published as Luchniak, Anna, Pallavi Sinha Roy, Ambuj Kumar, Ian C. Schneider, Vladimir I. Gelfand, Robert L. Jernigan, and Mohan L. Gupta Jr. "Tubulin CFEOM mutations both inhibit or activate kinesin motor activity." Molecular Biology of the Cell 35, no. 3 (2024): ar32. doi: https://doi.org/10.1091/mbc.E23-01-0020. © 2024 Luchniak et al. This article is distributed by The American Society for Cell Biology under license from the author(s). Two months after publication, it is available to the public under an Attribution–Noncommercial–Share Alike 4.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/4.0)
Endometrial Receptivity and Scoring for Prediction of Implantation and Newer Markers
No full text
How to cite this article
Malhotra N, Malhotra J, Singh A, Gupta P, Malhotra N. Endometrial Receptivity and Scoring for Prediction of Implantation and Newer Markers. J South Asian Feder Obst Gynae 2017;9(2):143-154.
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