253 research outputs found
Estimation of perceptible water vapor of atmosphere using artificial neural network, support vector machine and multiple linear regression algorithm and their comparative study
No full textStoic 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
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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Comparative Analysis of Heart Rate Variability Signals
No full textHeart Rate Variability Analysis is the method of evaluating the state of mechanisms for regulating the physiological functions in the human beings and animals. It is a measure of neuro-cardiac function reflecting the autonomic nervous system and heart-brain interactions. The study and investigation of HRV mainly have centre of interest on the process of analysis of fluctuations in inter-beat intervals in the heart rate and the ability of diagnosis provided by the fluctuations. The information obtained from the records of HRV has eminent importance for the clinicians and researchers for the identification of the nature of any illness or symptoms. The main focus of this dissertation work is the implementation of the visibility graph method and calculation of network measures which can be obtained from the network graph constructed from RR interval segments over long term Electrocardiogram (ECG) recordings. Time domain, frequency domain and nonlinear methodologies for HRV analysis has been studied and reviewed. We evaluated mainly three network measures such as characteristic path length (CPL), average clustering coefficient (ACC), and standard deviation of the shortest path length (CPL-STD) of the network graph obtained from the RR interval segment on scale of different data points for Congestive Heart Failure (CHF) and Normal Sinus Rhythm (NSR) signals. Time domain, frequency domain and Poincare plot measures for HRV was analyzed using Kubios HRV analysis software. All the network measures estimated from RR interval segment showed statistically significant result between Normal Sinus Rhythm and Congestive Heart Failure subjects on different scale of data points except the Characteristic Path Length (CPL) on scale of 1500 data points and CPL, and standard deviation of shortest path length (CPL-STD) on 2000 data points. Characteristic Path Length (CPL) was found to be more in Normal Sinus Rhythm subjects and decreased in Congestive Heart Failure subjects while Average Clustering Coefficient has increased value in case of Congestive Heart Failure patients. Statistically significant time domain measures were found to be lower in CHF as compared to NSR. Frequency domain measure LF/HF ratio was lower in CHF. For nonlinear analysis using Poincare plot showed lower values of SD1 and SD2 in CHF and higher value of SD1 and SD2 in NSR while SD2/SD1 ratio was found to be higher in NSR. Time domain analysis results have shown an increase of HR and reduction of HRV in CHF as compared to NSR and hence, a higher heart rate in combination of lower Heart Rate Variability is a well known indicator of (acute) stress
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