Search

Air pollution is a serious issue in most parts of Bihar, especially in its capital city, Patna. The air quality in Patna has significantly worsened due to factors like rapid urbanization, increased traffic, and various natural and human-related causes. This decline in air quality has led to several negative health effects. In light of this, the aim of this study was to examine how air pollution affects the long-term health of Patna's residents, taking into account age and exposure time as important factors. We gathered data from one busy intersection in Patna, specifically Danapur. Health effects from air pollution were collected from the residents via a formatted questionnaire. To analyze the relationship between age, exposure time, and the health effects reported by the participants, we used a statistical test called the chi square test of independence. The findings of the study revealed a clear link between age, exposure time, and the health status of the participants. We concluded that older individuals and those with longer exposure times faced a higher risk associated with the increasing air pollution levels. This study provides a foundation for raising awareness among both authorities and the general public of the adverse health impacts associated with declining air quality, emphasizing the urgency in taking appropriate measures to counter this challenge. [ABSTRACT FROM AUTHOR]

The CONRAD code is an object-oriented software tool developed at CEA Cadarache since 2005 to deal with problems arising during the evaluation process (data assimilation and analysis, physical modelling, propagation of uncertainties... ). This paper will present recent developments concerning the experimental corrections, which are required when a neutron resonance shape analysis is performed. Several experimental aspects are detailed in this work: - the possibility to use spectra in energy as well as in time, - the implementation of both analytical (Chi-Square) and Monte-Carlo resolution functions, - the sample homogeneity corrections using log-normal distributions. Each development aspect is illustrated with several examples and comparisons with other resonance analysis codes (SAMMY, REFIT). [ABSTRACT FROM AUTHOR]

The aim of this paper is to create segments of the teenagers in the Romanian mobile phone market. Based on the literature we raised and answered this question: Is at useful to segment the mobile phone market in case of Romanian teenagers using the variables from the Technology Acceptance Model? In order to investigate the variables from the TAM model as possible segmentation variables, we used the SPSS statistical program performing the factor analysis to reduce the number of variables, cluster analysis for the segmentation, discriminant analysis, Chi-square test and ANOVA-test for the validation of the results. We found four factors accordingly to the simplified TAM model, and these compressed variables have defined four segments. Each segment can be characterized by a set of significant, mostly behavioral variables. An extensive set of findings that can be useful both for researchers and practitioners is provided afterwards and supplemented with implications and concluding remarks for both the academia and the industry. [ABSTRACT FROM AUTHOR]