479 research outputs found
Stoic beliefs and health: Development and preliminary validation of the Pathak-Wieten Stoicism Ideology Scale
No full text© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted. Introduction We developed and validated a new parsimonious scale to measure stoic beliefs. Key domains of stoicism are imperviousness to strong emotions, indifference to death, taciturnity and self-sufficiency. In the context of illness and disease, a personal ideology of stoicism may create an internal resistance to objective needs, which can lead to negative consequences. Stoicism has been linked to help-seeking delays, inadequate pain treatment, caregiver strain and suicide after economic stress. Methods During 2013-2014, 390 adults aged 18+ years completed a brief anonymous paper questionnaire containing the preliminary 24-item Pathak-Wieten Stoicism Ideology Scale (PW-SIS). Confirmatory factor analysis (CFA) was used to test an a priori multidomain theoretical model. Content validity and response distributions were examined. Sociodemographic predictors of strong endorsement of stoicism were explored with logistic regression. Results The final PW-SIS contains four conceptual domains and 12 items. CFA showed very good model fit: root mean square error of approximation (RMSEA)=0.05 (95% CI 0.04 to 0.07), goodness-of-fit index=0.96 and Tucker-Lewis Index=0.93. Cronbach's alpha was 0.78 and ranged from 0.64 to 0.71 for the subscales. Content validity analysis showed a statistically significant trend, with respondents who reported trying to be a stoic 'all of the time' having the highest PW-SIS scores. Men were over two times as likely as women to fall into the top quartile of responses (OR=2.30, 95% CI 1.44 to 3.68, P<0.001). ORs showing stronger endorsement of stoicism by Hispanics, Blacks and biracial persons were not statistically significant. Discussion The PW-SIS is a valid and theoretically coherent scale which is brief and practical for integration into a wide range of health behaviour and outcomes research studies
Parmanu-Gunak
No full textParmanu-Gunak is a free Python based GUI application for reducing single and double spike isotope dilution data.
Version 1.0
Please contact the author at [email protected] for any questions related to Parmanu-Gunak. If you use Parmanu-Gunak for your data reduction, then please cite the following paper:
Pathak, D. (2023), Parmanu-Gunak: Data Reduction Software for Isotope Dilution Analysis. Geostand Geoanal Res. https://doi.org/10.1111/ggr.12476
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Satellite-retrieved direct radiative forcing of aerosols over North-East India and adjoining areas: climatology and impact assessment
No full textThe article by J. Biswas et al. contained an update in affiliation of author Binita Pathak. The author would like to add another affiliation to her name. Her updated affiliations are the following
Study of Seasonal Variation in Groundwater Quality of Sagar City (India) by Principal Component Analysis
No full textGroundwater is one of the major resources of the drinking water in Sagar city (India.). In this study 15 sampling station were selected for the investigations on 14 chemical parameters. The work was carried out during different months of the pre-monsoon, monsoon and post-monsoon seasons in June 2009 to June 2010. The multivariate statistics such as principal component and cluster analysis were applied to the datasets to investigate seasonal variations in groundwater quality. Principal axis factoring has been used to observe the mode of association of parameters and their interrelationships, for evaluating water quality. Average value of BOD, COD, ammonia and iron was high during entire study period. Elevated values of BOD and ammonia in monsoon, slightly more value of BOD in post-monsoon, BOD, ammonia and iron in pre-monsoon period reflected contribution on temporal effect on groundwater. Results of principal component analysis evinced that all the parameters equally and significantly contribute to groundwater quality variations. Factor 1 and factor 2 analysis revealed the DO value deteriorate due to organic load (BOD/Ammonia) in different seasons. Hierarchical cluster analysis grouped 15 stations into four clusters in monsoon, five clusters in post-monsoon and five clusters in pre-monsoon with similar water quality features. Clustered group at monsoon, post-monsoon and pre-monsoon consisted one station exhibiting significant spatial variation in physicochemical composition. The anthropogenic nitrogenous species, as fallout from modernization activities. The study indicated that the groundwater sufficiently well oxygenated and nutrient-rich in study places
Social entrepreneurship, governmentality & the Left
No full textThis paper offers a critique of the location of social entrepreneurship in the imaginaries of an advanced liberal social economy . Social entrepreneurship is used in a broad sense to refer to innovative, sustainable solutions to social problems, and this paper is agnostic towards organisational structures or the use of earned income which might be understood to circumscribe the practice of social enterprise. This chapter therefore, rejects Reiss’ (1999,1) assertion that social entrepreneurship refers simply to the “application of sound business practices to the operation of non-profit organizations” and is closer to the social innovation school of thought advocated by Dees & Anderson (2006). By doing so, the author asserts the need for nation states to take an active role through policy innovation and the co-ordination of the social economy
Analysing spatial interdependence among the 2011 Thailand flood-affected small and medium enterprises for reduction of disaster recovery time period
No full textThe authors would like to acknowledge the continuous support and
guidance of the colleagues and family members.
The author would like to acknowledge the constant support and guidance
from Anila Pathak, Nupur Chaturvedi, Meleana Chaturvedi and Aaryana
Pathak.
ORCID: 0000-0002-2750-8483 (Shubham Pathak).Natural disasters have been a significant hurdle in the economic growth of middle-income developing countries. Thailand has also been suffering from recurring flood disasters and was most which are severely affected during the 2011 floods. This paper aims to identify the various factors that impact the speed of disaster recovery among the Small and Medium Enterprises (SMEs) severely affected by the floods in Pathumthani province in central Thailand, and how it is related to its speed decision of neighbours SMEs. The methodology adopts a spatial econometric model, to analysis and understand each of the chosen factors' impact. The findings include the impact of disaster resilience, mitigation and planning at the SME level as well as the government level. The absence of accurate perception of actual risk, flood insurance and disaster management planning before the 2011 floods had contributed to the severity of the impacts during the 2011 floods
On Hankel Transformable Spaces and a Cauchy Problem
No full textThe classical Hankel transform of a conventional function ϕ on (0, ∞) defined formally bywas extended by Zemanian [21-23] to certain generalized functions of one dimension. Koh [9, 10] extended the work of [21] to n-dimensions, and that of [22] to arbitrary real values of μ. Motivated from the work of Gelfand and Shilov [6], Lee [11] introduced spaces of type Hμ and studied their Hankel transforms. The results of Lee [11] and Zemanian [21] are special cases of recent results obtained by the author and Pandey [14]. The aforesaid extensions are accomplished by using the so-called adjoint method of extending integral transforms to generalized functions. Dube and Pandey [2], Pathak and Pandey [15, 16] applied a more direct method, the so-called kernel method, for extending the Hankel and other related transforms.
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Robust decentralized authentication for public keys and geographic location:
No full textAuthentication has traditionally been done either in a decentralized manner with human assistance or automatically through a centralized security infrastructure. In the security infrastructure approach, a central trusted authority takes on the responsibility of authenticating participants within its domain of control. While the security infrastructure approach works well in traditional organizations, it does not address the needs of open membership systems.
We propose automatic decentralized authentication mechanisms for peer-to-peer systems, email systems, and ad-hoc networks. Our byzantine fault tolerant public-key authentication protocol (BPKA) provides decentralized authentication to peer-to-peer systems with honest majority. Authentication is done over an insecure asynchronous network without using trusted third parties or human input. We also authenticate public keys in the email environment through our social-group key authentication protocol (SGKA). The protocol provides end-to-end authentication at the email client without using infrastructure or centralized authorities. Finally, location authentication in ad-hoc networks is proposed through our geographical secure path routing protocol (GSPR). The protocol authenticates geographic locations of anonymous nodes in order to provide location authentication and anonymity simultaneously.Ph.D.Includes bibliographical references (p. 121o-128)by Vivek Patha
Comparative study of Energy using Apache Spark and Hadoop
No full textComputing power generation and its need has been increasing day by day due to the high utilization of processing power. This becomes a major challenge nowadays. Data centers account for around 2% of all global carbon emissions. In the US alone, 0.5% of total greenhouse gas emissions are attributed to data centers. That is about the same as the airline industry. Data centers and cloud servers are using more energy. This research study focuses on accommodating the demo workloads which depict the real-time scenario and make the stand-alone system as a single-user server. This represents the impact of single-user daily task and load on the servers. This study includes the potential future work to improve the data with respect to computing power. The machine learning model has been the major source of consuming computing power which also comes with the predefine libraries and its own impact on the System resources. The study has been conducted with all the main scenarios related to data centers as Linux has been used to be as close as the system performance and impact
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