853 research outputs found
First person – Shweta Yadav
No full textABSTRACT
First Person is a series of interviews with the first authors of a selection of papers published in Journal of Cell Science, helping early-career researchers promote themselves alongside their papers. Shweta Yadav is the first author on ‘RDGBα localization and function at membrane contact sites is regulated by FFAT–VAP interactions’, published in Journal of Cell Science. Shweta is a post-doctoral associate in the laboratory of Prof. Juan Botas at Baylor College of Medicine, Texas, USA, investigating neurodegenerative diseases.</jats:p
The hired farm labor market: some recent evidence from Oregon
Get PDFT.M. Hammonds, R. Yadav, and C. Vathana.This archived document is maintained by the State Library of Oregon as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes.Includes bibliographical references (pages 22-23).Mode of access: Internet from the Oregon Government Publications Collection.Text in English
“Discovery of the Wave-Edge Rectangle (WER) and its Area Formula”
No full textTitle: The Wave-Edge Rectangle (WER): A Newly Identified Geometric Structure and Its Area Formula
Author: Yadvendra Singh Yadav
Date: 2 December 2025
Summary:
I discovered a new geometric shape called the Wave-Edge Rectangle (WER), formed by replacing all four straight sides of a rectangle with equal semicircular arcs. I derived a general area formula:
=2(4+(+)
Intelligent Agriculture Mechanism using Internet of Things and Image Processing
No full textThis project presents a novel idea of detection and classification of leaf diseases and soil Moisture Level. It is difficult for human eyes to identify the exact type of leaf disease which occurs on the leaf of plant. Thus, in order to identify the leaf diseases accurately, the use of image processing and machine learning techniques can be helpful. The images used for this work were acquired from the field using digital camera. In pre processing step, background removal technique is applied on the image in order to remove background from the image. Then, the background removed images are further processed for image segmentation using Otsu thresholding technique. Different segmented images will be used for extracting the features such as color, shape and texture from the images. At last, these extracted features will be used as inputs of classifier. Leaf diseases cause significant damage and economic losses in crops. Subsequently, reduction in leaf diseases by early diagnosis results in substantial improvement in quality of the product. Erroneous diagnosis of disease and its severity leads to inappropriate use of pesticides. The goal of proposed work is to diagnose the disease using image processing of plant leaf. In the proposed system, leaf image with complex background is taken as input. Thresholding is deployed to mask green pixels and image is processed to remove noise using anisotropic diffusion. Then leaf disease segmentation is done. The diseased portion from segmented images is identified. The purpose of this project is to developed our irrigation system, to make it automated and smart irrigation system. There are many countries where economy is depends on agriculture and the climatic conditions lead to lack of rains. The farmers working in the farm lands are dependent on the rains and bore wells. Even if the farm land has a water pump, manual involvement by farmers is required to turn the pump on off when on earth needed. The main purpose of this project is to measuring the moisture of agricultural soils by real time method and to minimize this manual involvement by the farmer, which is why we are using a micro controller. The sensor senses the amount of moisture present in the soil and presents an output in the form of resistance .If resistance is high then water is present in soil. Also we used another sensor to measure water level of well. Shubhada Bagal | Tejasvini More | Ankita Paranjape | Prof. Supriya Yadav "Intelligent Agriculture Mechanism using Internet of Things and Image Processing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-2 , February 2019, URL: https://www.ijtsrd.com/papers/ijtsrd21485.pd
Correction to: Studies on H2-Assisted Liquefied Petroleum Gas Reduction of NO over Ag/Al2O3 Catalyst
No full textCorrection to: Bulletin of Chemical Reaction Engineering & Catalysis (2018), 13 (2): 227-235 (doi:10.9767/bcrec.13.2.1307.227-235)
An error appeared in Corresponding Author in a paper entitled “Studies on H2-Assisted Liquefied Petroleum Gas Reduction of NO over Ag/Al2O3 Catalyst” published in Bulletin of Chemical Reaction Engineering & Catalysis. The Corresponding Author is corrected to be:
* Corresponding Authors.
Tel: +919415268192. Email: [email protected] (R. Prasad)
Tel: +917505072607. Email: [email protected] (D. Yadav)
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The original article can be found online at: https://doi.org/10.9767/bcrec.13.2.1307.227-235
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Copyright © 2020 by Authors, Published by BCREC Group. This is an open access article under the CC BY-SA License (https://creativecommons.org/licenses/by-sa/4.0).
How to Cite: Singh, P., Yadav, D., Thakur, P., Pandey, J., Prasad, R. (2020). Correction to: Studies on H2-Assisted Liquefied Petroleum Gas Reduction of NO over Ag/Al2O3 Catalyst. Bulletin of Chemical Reaction Engineering & Catalysis, 15 (2): 603-603 (doi:10.9767/bcrec.15.2.7659.603-603)
Permalink/DOI: https://doi.org/10.9767/bcrec.15.2.7659.603-60
RETRACTED ARTICLE: Psychological predictors behind the intention to drink and drive among female drivers: Application of extended theory of planned behavior
No full textWe, the Editor and Publisher of Traffic Injury Prevention, have retracted the following article: Ankit Kumar Yadav. Psychological predictors behind the intention to drink and drive among female drivers: Application of extended theory of planned behavior. Traffic Injury Prevention. 2020. https://doi.org/10.1080/15389588.2019.1703961. The author has requested the retraction of his article due to an error in one of the collected psychological measures. During data extraction, the responses for ‘attitude’ and ‘intention’ measures were switched and may have influenced the findings from the developed regression model and its results. As a result, the Editor and Publisher have agreed to retract the article in full. We have investigated and have been informed in our decision-making by our policy on publishing ethics and integrity and the COPE guidelines on retractions. The retracted article will remain online to maintain the scholarly record, but it will be digitally watermarked on each page as “Retracted”.</p
Helical and linear morphotypes ofArthrospirasp. PCC 8005 display genomicdifferences and respond differently to 60Co gamma irradiation
No full textArthrospira are multicellular cyanobacteria that typically reside in alkaline lakes of (sub)tropical regions and are mass cultivated around the globe in a variety of outdoor facilities and photobioreactors for their high nutritional, pharmaceutical and clinical value. Arthrospira sp. strain PCC 8005 was selected by the European Space Agency as an oxygen producer and nutritional end-product in a bioregenerative life support system for long-haul missions. Being highly resistant to ionizing radiation, it is also an ideal candidate for other space applications such as in situ resource utilization and terraformation. During long-term strain maintenance involving continuous subculturing we noted an irreversible morphological change in PCC 8005 subcultures i.e. from only helical to only straight trichomes. These morphotypes displayed differences in growth rate, buoyancy and resistance to gamma radiation. We also found marked differences in antioxidant capacity, pigment content and trehalose concentration, while whole-genome comparison revealed a difference of 168 SNPs, 48 indels and four large insertions affecting, in total, 41 coding regions across both genomes. Although nine of these regions encoded proteins with a known function, no conclusive genotype-phenotype associations could be determined. Nonetheless, genomic changes within the gvpC gene (encoding a gas vesicle protein) and within the regulatory region of the psbD gene (encoding the D2 protein of PSII) provided some clues for the observed differences in buoyancy and growth.This work was in part financed through a PhD grant for Anu Yadav provided by SCK_CEN and supported by a collaborative agreement on scientific cooperation between the Research Foundation - Flanders and the Polish Academy of Sciences (2016-2018) (contract FWO-PAN 52162 NB, file VS.082.16N).Janssen, PJ (reprint author), Belgian Nucl Res Ctr SCK CEN, Microbiol Unit, Interdisciplinary Biosci, B-2400 Mol, Belgium.
[email protected]
Research review: Globally distributed requirements engineering and agility
No full textYadav, V ORCiD: 0000-0001-5237-1186Getting requirements right is considered the most important and difficult part of the software development process. As organizations and stakeholders become more globally distributed, getting requirements right will pose a greater challenge. Today, organizations are offered a sophisticated array of multimedia meeting systems with video, audio and computer support for remotely specifying requirements. In the context of present day’s global workforce scenario, distributed requirements engineering is now being explored by researchers as well as industry to build an understanding of the dynamics of this highly interactive phase in a globally distributed context. Accordingly, this paper addresses the timely need of reviewing the literature on globally distributed requirements engineering. Findings highlight paucity of literature in this area. Additionally, the paper presents an innovative approach to globally distributed requirements engineering by reviewing the literature on the applicability of agile development approach in a globally distributed setting. Contributing to academic and practitioner literature, the author discusses emerging directions for future research in this area
Applicability of the Global Land Evaporation Amsterdam Model Data for Basin-Scale Spatiotemporal Drought Assessment
No full textDrought directly impacts the living organisms and environment, and thereby, its assessment is essential. Different drought indices require different data, which can be obtained based on models or in-situ measurements, demanding a significant amount of effort. Using remotely sensed (RS) data from satellites can facilitate this data acquisition. Nowadays, more and more satellite techniques are rising, highlighting the need to assess the accuracy of their data and the reliability of the results obtained by employing them. The Wet-environment Evapotranspiration Precipitation Standardized Index (WEPSI) has shown good performance in drought monitoring and assessment, especially for agricultural purposes. This chapter employs the Global Land Evaporation Amsterdam Model (GLEAM) data to investigate its applicability in the Lempa River basin drought assessment using WEPSI. In this order, evaluated data obtained from the Water Evaluation and Planning system (WEAP) were used as the basis for comparison. Precisely, a comparison was made with GLEAM and WEAP-based data as well as WEPSI time series based on these two datasets. The results show a relatively high similarity between these two datasets and calculated WEPSI drought indices. This validates the good performance of GLEAM-based data in drought monitoring and assessment based on WEPSI.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.Water Resource
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