Indexing

Abstract: Many statistical and computational models have been developed to investigate the complexity of HIV dynamics in the immune response. Most of the models described the viral replication as a system of differential equation, where the solution of parameters is not easy to obtain. A model of HIV replication where infected cells undergo through a truncated logistic distribution is proposed. An infected cell is modelled as an individual entity with certain states and properties. Three simulation approaches are used for implementing the model, conditional distribution, truncated population mean approaches and sample mean. Simulation results give insights about the details of HIV replication dynamics inside the cell at the protein level. Therefore the model can be used for future studies of HIV intracellular replication. It will also promote better understanding of the HIV/AIDS transmission dynamics, the study will also add to the existing body of knowledge on mathematical application in the field of epidemiology.

Keywords: Conditional distribution, HIV Dynamic Immune Power, Logistic Distribution, Truncated Distribution.
Title: Determination of Average HIV Replication in the Blood Plasma Using Truncated Logistic Distribution
Author: G. Meenakshi, Habineza Alexis, R. Lakshmajayam
ISSN 2350-1049
International Journal of Recent Research in Interdisciplinary Sciences (IJRRIS)
Paper Publications

Abstract: There is near unanimous scientific consensus that greenhouse gas emissions generated by human activity will change Earth’s climate. The recent (globally averaged) warming by 0•5ºC is partly attributable to such anthropogenic emissions. Climate change will affect human health in many ways—mostly adversely. We review the published estimates of future health effects of climate change over coming decades. Historically, the industrialized countries have been the primary contributors to emissions of CO2. Before the prospect of anthropogenic climate change emerged, epidemiologists were not greatly interested in climate-health relations. Modern epidemiology has focused mainly on studying risk factors for non-communicable diseases in individuals, not populations. Malaria is the world’s most widespread and fatal vector borne disease, killing 1-2 million persons a year, the majority of these being young children. Meanwhile, there have been occasional studies examining deaths due to heat waves, some epidemiological studies of air pollution incorporating temperature as a covariate, and a continuation of the longer standing research interest in meteorological effects on microbes, vectors, and infectious disease transmission. Scientists project that warmer temperatures from climate change will increase the frequency of days with unhealthy levels of ground-level ozone, a harmful air pollutant, and a component in smog. Overall, the health risks of climate-related thermal stress, floods, and infectious diseases have been the most amenable to conventional epidemiological studies. Climate change, as an environmental hazard operating at the global scale, poses a unique and ‘‘involuntary exposure’’ to many societies, and therefore represents possibly the largest health inequity of our time. According to statistics from the World Health Organization (WHO), regions or populations already experiencing the most increase in diseases attributable to temperature rise in the past 30 years ironically contain those populations least responsible for causing greenhouse gas warming of the planet.

Keywords: climate change, Global Health, WHO, epidemiological studies greenhouse gas emissions.
Title: Climate Change and It’s Impact on Global Health
Author: D.P. Tiwari, H.C. Nayak
ISSN 2350-1049
International Journal of Recent Research in Interdisciplinary Sciences (IJRRIS)
Paper Publications

Abstract: Organizational change consequent to the implementation of advanced manufacturing technology has been mentioned in the production management literature. However, this literature lacks a body of research studies to validate these claims in developing economy. As technology is linked to competitive advantage of many manufacturing firms, the implementation of new technology in the existing resources should be carried out with planned organizational change. This paper highlights the importance of technology-organizational change and the fit between them in the modern manufacturing firms in developing county’s social economic framework in the context of global competition.

Keywords: Organizational change consequent, advanced manufacturing technology, production management literature, social economic framework, global competition.
Title: Planned Organizational Change Consequent to Advanced Manufacturing Technology Adoption
Author: G.M. Nyori, M.Ogutu, J.M. Ogola
ISSN 2350-1049
International Journal of Recent Research in Interdisciplinary Sciences (IJRRIS)
Paper Publications

Abstract: the study used the contingency theory to study the effects of human factors on the relationship between Advanced Manufacturing Technology (AMT) adoption and organization structure. When empirically tested, the research findings present the interrelationships among the main effects (AMT index and human factors) and the interactions (AMT index*human factor index). The study revealed that there is a linear dependence of organizational index from the interaction index. This implies that changes in human factors positively and significantly affect AMT adoption and organizational structure relationship. The study confirms that it is essential for a company to match their technology investment and its integration with its human factors in order to achieve the intended manufacturing performance. The degree of fit between AMT index and organizational index was found to increase as human index increased. The findings of this study reiterate the importance and the need for proactive planning to facilitate changes in the organizational structure.

Keywords: AMT Adoption, Human factors, Organizational structure.
Title: Influence of Human Factors on the Relationship between AMT Adoption and Organizational Structure
Author: G.M. Nyori, M. Ogutu, J.M. Ogola
ISSN 2350-1049
International Journal of Recent Research in Interdisciplinary Sciences (IJRRIS)
Paper Publications