281 research outputs found
RETRACTED ARTICLE: Psychological predictors behind the intention to drink and drive among female drivers: Application of extended theory of planned behavior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 The retracted article will remain online to maintain the scholarly record, but it will be digitally watermarked on each page as “Retracted”.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
RECTIFIED DIFFERENTIAL CRYPTANALYSIS OF 16 ROUND PRESENT
No full textRECTIFIED DIFFERENTIAL CRYPTANALYSIS OF 16 ROUND PRESENT
Manoj Kumar , Pratibha Yadav and Meena Kumari
SAG, DRDO, Metcalfe House, Delhi-110054, India
ABSTRACT
In this paper, we have suggested rectifications in differential cryptanalysis of ultra-lightweight block cipher PRESENT reduced to 16 rounds. We have shown that proposed differential attack by Wang [3] on 16 round PRESENT can recover at the most 30 subkey bits, although the author has claimed to recover 32 bits of subkey for last two rounds. We have also computed data complexity and success probability for recovering 30 subkey bits accordingly by the differential attack on 16 round PRESENT.
KEYWORDS
Lightweight block cipher, differential cryptanalysis, PRESEN
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
Correction: Singh et al. An Experimental Investigation on the Material Removal Rate and Surface Roughness of a Hybrid Aluminum Metal Matrix Composite (Al6061/SiC/Gr). Metals 2021, 11, 1449
No full textHarish Kumar Garg was not included as an author in the published article [...
Pattern of Cancer in Nepal from 2003 to 2011
No full textCorrection: On 15th January 2017, the authors Sunil Kumar Sah and Naval Kishor Yadav were added to the author list.Cancer is global burden of disease in developed and developing countries. It is one of the main causes of death. The environmental factor and life styles are major causes of cancer.This hospital based retrospective study was carried out using data retrieved from the register maintained at seven cancer centers. The most common basis of diagnosis were microscopic (histopathological and cytopathological examination). The diagnosis was also based on clinical examination, radiological examination, endoscopy, biochemical and immunological tests.Most of the cancer cases were diagnosed at BPKMCH (23908) followed by BPKIHS (9668) and BH (5959) and few cases from KCH (518) in 2003 to 2011. The total number of cancer cases were increasing from 2003 to 2011 and it become double in 2011. Out of 75 district of Nepal, more number of cancer cases was found in Kathmandu, Sunsari, Morang, Chitwan, Lalitpur, Jhapa, Kaski, Nawalparasi, Rupendehi and Kavrepalchowk in 2010. Similarly, in 2011 more number of cancer cases was found in Kathmandu, Morang, Jhapa, Sunsari, Chitwan, Lalitpur, Rupendehi, Kaski, Saptari, Bhaktapur. Lung cancer was the common cancer and similarly, other prevalent cancers were cervical, breast, stomach, ovarian and colo-rectum cancer in 2003 to 2011. The common cancers were lung, cervical, breast, stomach, ovarian and colo-rectum. The number of patients is increasing, which may be due to change in life style and lack of education
Pre-screening systems for early disease prediction, detection, and prevention Advances in medical diagnosis, treatment, and care (AMDTC) book series./ Thierry Edoh, Pravin Pawar, and Sagar Mohammad, editors.
No full textIncludes bibliographical references."This book focuses on using non-invasive biomedical sensor devices, IOT solutions, and knowledge database solutions for pre-screening of diseases so that the risk of disease is reduced, or it can be detected early enough to treat the disease most effectively"--Provided by publisherApplications of machine learning in diseases pre-screening / Upendra Kumar -- Clinical decision support system for early disease detection and management : statistical based early disease detection / Likewin Thomas, M.V. Manoj, B. Annappa -- Fuzzy based predictive analytics for early detection of diabetes / Vijayalakshmi Kakulapati, Devara Vasumathi, S. Mahender -- Internet of things enabled pre-screening for diseases : a novel approach for improvement of the traditional screening for diseases paradigm / Thierry Edoh -- Early diagnosistic model for dengue disease using decision tree based approaches : dengue disease using decision tree approaches / Shalini Gambhir, Yugal Kumar, Sanjay Malik, Geeta Yadav, Amita MalikUbiquitous wearable healthcare monitoring system architectural design for prevention, detection, and monitoring of chronic diseases / Gaurav Paliwal, Aaquil Bunglowala -- Innovative approaches for pre-screening and sensing of diseases / Dharmpal Singh, Gopal Purkait, Abhishek Banerjee, Parag Chatterjee -- Detection and identification of atrial fibrillation and other cardiovascular disorders using FourierBessel expansion and Teager energy operator from electrocardiogram signals / Ashish Sharma, Shivnarayan Patidar, Niranjan Garg -- ICT's expanding role in enhancing social determinants for healthcare outcome prediction / Scott Robinson, Lucina Health -- Machine learning approaches for development of pre-screening systems for diseases / Namrata Singh, Pradeep Singh.1 online resource (1 volume
Collected Papers (Papers of Mathematics or Applied Mathematics), Volume V
No full textThis volum includes 37 papers of mathematics or applied mathematics written by the author alone or in collaboration with the following co-authors: Cătălin Barbu, Mihály Bencze, Octavian Cira, Marian Niţu, Ion Pătraşcu, Mircea E. Şelariu, Rajan Alex, Xingsen Li, Tudor Păroiu, Luige Vlădăreanu, Victor Vlădăreanu, Ştefan Vlăduţescu, Yingjie Tian, Mohd Anasri, Lucian Căpitanu, Valeri Kroumov, Kimihiro Okuyama, Gabriela Tonţ, A. A. Adewara, Manoj K. Chaudhary, Mukesh Kumar, Sachin Malik, Alka Mittal, Neetish Sharma, Rakesh K. Shukla, Ashish K. Singh, Jayant Singh, Rajesh Singh, V.V. Singh, Hansraj Yadav, Amit Bhaghel, Dipti Chauhan, V. Christianto, Priti Singh, and Dmitri Rabounski
Solar energy conversion and storage by using Rose Extract as natural dye and nitrilotriacetic acid as reductant in photogalvanic cell
No full textEssays on Online Gaming Communities
No full textThis dissertation investigates key issues related to online gaming communities. Across three essays, the author explores the effects of three factors―(1) social connection, (2) demarketing, and (3) game design―on game users’ behaviors. The findings from the studies provide implications for theory, along with practical implications for game developers and policy makers.
In the first essay, the author examines the effect of social interactions on gamers’ in-game purchases of two different types of products, functional and social utility products. The author uses a unique and large scale dataset from an online game―that consists of users’ detailed gaming activities, their social connections and their in-game purchases of functional and social utility products―to examine the impact of gamers’ networks on their purchase behavior. The current analysis reveals evidence of “social dollars,” whereby social interaction between gamers in the community increases purchase of both functional and social utility products.
In the second essay, the author examines the effects on user behavior of two demarketing policy changes with regard to online and mobile games in South Korea: (1) lowering the maximum limit on online item purchases, and (2) restrictively allowing the use of real money to purchase items in mobile gaming apps. The author finds that lowering the maximum limit on online item purchases decreases the number of online gamers, and that allowing item purchases with real money in mobile games increases the number of mobile game players. The author finds that there are positive cross-channel spillover effects.
In the third essay, the author examines the goal gradient effects on behaviors related to attaining the goal (i.e., a game level) and purchasing virtual products in an online game. The author
provides empirical evidence that achieving game levels serve as goals. The author finds that users’ efforts related to reaching a new level increases as they become closer to the new level. However, their efforts suddenly decrease right after attaining it. The author finds that while users are less likely to purchase both goal-relevant and goal-irreverent virtual items right before achieving the new level, they purchase more virtual items once they reach the goal
Differential expression of collectins in human placenta and role in inflammation during spontaneous Labor.
No full text© 2014 Yadav et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.Collectins, collagen-containing Ca2+ dependent C-type lectins and a class of secretory proteins including SP-A, SP-D and MBL, are integral to immunomodulation and innate immune defense. In the present study, we aimed to investigate their placental transcript synthesis, labor associated differential expression and localization at feto-maternal interface, and their functional implication in spontaneous labor. The study involved using feto-maternal interface (placental/decidual tissues) from two groups of healthy pregnant women at term (≥37 weeks of gestation), undergoing either elective C-section with no labor ('NLc' group, n = 5), or normal vaginal delivery with spontaneous labor ('SLv' group, n = 5). The immune function of SP-D, on term placental explants, was analyzed for cytokine profile using multiplexed cytokine array. SP-A, SP-D and MBL transcripts were observed in the term placenta. The 'SLv' group showed significant up-regulation of SP-D (p = 0.001), and down-regulation of SP-A (p = 0.005), transcripts and protein compared to the 'NLc' group. Significant increase in 43 kDa and 50 kDa SP-D forms in placental and decidual tissues was associated with the spontaneous labor (p<0.05). In addition, the MMP-9-cleaved form of SP-D (25 kDa) was significantly higher in the placentae of 'SLv' group compared to the 'NLc' group (p = 0.002). Labor associated cytokines IL-1α, IL-1β, IL-6, IL-8, IL-10, TNF-α and MCP-1 showed significant increase (p<0.05) in a dose dependent manner in the placental explants treated with nSP-D and rhSP-D. In conclusion, the study emphasizes that SP-A and SP-D proteins associate with the spontaneous labor and SP-D plausibly contributes to the pro-inflammatory immune milieu of feto-maternal tissues.Funding provided by BT/PR15227/BRB/10/906/2011) Department of Biotechnology (DBT), Government of India http://dbtindia.nic.in/index.asp (TM) and Indian Council of Medical Research (ICMR) Junior Research Fellowship (JRF)/Senior Research Fellowship (SRF), Government of India, www.icmr.nic.in (AKY)
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