A new spatiotemporal two-stage standardized weighted procedure for regional drought analysis.

Drought is a complex phenomenon that occurs due to insufficient precipitation. It does not have immediate effects, but sustained drought can affect the hydrological, agriculture, economic sectors of the country. Therefore, there is a need for efficient methods and techniques that properly determine drought and its effects.

Monthly drought prediction based on ensemble models.

Drought is a natural hazard, which is a result of a prolonged shortage of precipitation, high temperature and change in the weather pattern. Drought harms society, the economy and the natural environment, but it is difficult to identify and characterize. Many areas of Pakistan have suffered severe droughts during the last three decades due to changes in the weather pattern.

Bayesian network based procedure for regional drought monitoring: The Seasonally Combinative Regional Drought Indicator.

Drought is a complex natural hazard. It occurs due to a prolonged period of deficient in rainfall amount in a certain region. Unlike other natural hazards, drought hazard has a recurrent occurrence.

Evaluation of wet and dry event's trend and instability based on the meteorological drought index.

A temporal imbalance in the water availability, which is consistently below average or more than average rainfall, can lead to extremely dry or wet conditions. This impacts on agricultural yields, water resources and human activities. Weather instabilities and trends of wet/dry events have not yet been explored in Pakistan.

Achieving environmental sustainability through information technology: "Digital Pakistan" initiative for green development.

The importance of information and communication technologies (ICTs) in environmental resource management opens a new debate for the policy makers in order to promote green technologies to mitigate high mass carbon emissions across the globe. "Digital Pakistan" initiative is taken by the government that aimed to use technology for country's social welfare, which further be enhance for achieving environmental sustainability over a time horizon. This study examined the long-run relationship between ICTs, energy demand, and carbon emissions in a context of Pakistan by using a time series data from 1975 to 2017.

Dynamic linkages between tourism, energy, environment, and economic growth: evidence from top 10 tourism-induced countries.

The importance of sustainable tourism in environmental literature is well documented, while there is a need to explore its different socio-economic and environmental factors that are helpful to promote sustainable development across countries. The objective of the study is to investigate the relationship between international tourism (ITOUR), energy demand (ED), carbon dioxide emissions (CO), and economic growth (EG) by using a panel data of top 10 tourism-induced countries for the period of 1995-2016. The findings confirmed the Environmental Kuznets Curve (EKC) hypothesis in the panel of top 10 countries.

Economics of death and dying: a critical evaluation of environmental damages and healthcare reforms across the globe.

The economics of death and dying highlighted that environmental factors negatively influence healthcare sustainability. Therefore, this study conducted a system-based literature review to identify the negative externality of environmental damages on global healthcare reforms. Based on 42 peer-reviewed papers in the field of healthcare reforms and 12 papers in the field of environmental hazards, we identified 25 factors associated with death and dying and 15 factors associated with health-related damages across the world respectively.

Socio-economic and environmental factors influenced pro-poor growth process: new development triangle.

The developmental triangle earlier comprises economic growth, income inequality, and poverty, while in this study, we extended it by incorporating environmental and resource factors, health and education factors, sectoral value added, and some other growth-specific factors for assessing pro-poor growth, by considering Bolivian economy as a case study. The elasticity estimates show that agriculture and industrial sector growth is not pro-poor due to account of high income inequality, while services sector played a vital role in country's economic development and supports poor livelihood in a country. Energy and environmental resources negatively impact on quality of life of the poor relative to non-poor, which create income differences among them.

Green is clean: the role of ICT in resource management.

It is well documented that carbon emissions can be reduced by replacing conventional energy resources with renewable energy resources; thereby, the role of green technology is essential as it protect natural environment. Given that, the United Nations' agenda of "green is clean" may be achievable by adoption of green technologies. The objective of the study is to examine the link between information and communication technology (ICT), economic growth, energy consumption, and carbon dioxide (CO) emissions in the context of South Korean economy, by using a novel Morlet wavelet approach.

Natural disasters and economic losses: controlling external migration, energy and environmental resources, water demand, and financial development for global prosperity.

The objective of the study is to examine the impact of natural disasters on external migration, price level, poverty incidence, health expenditures, energy and environmental resources, water demand, financial development, and economic growth in a panel of selected Asian countries for a period of 2005-2017. The results confirm that natural disasters in the form of storm and flood largely increase migration, price level, and poverty incidence, which negatively influenced country's economic resources, including enlarge healthcare expenditures, high energy demand, and low economic growth. The study further presented the following results: i) natural resource depletion increases external migration, ii) FDI inflows increase price level, iii) increase healthcare spending and energy demand decreases poverty headcount, iv) poverty incidence and mortality rate negatively influenced healthcare expenditures, v) industrialization increases energy demand, and vi) agriculture value added, fertilizer, and cereal yields required more water supply to produce greater yield.

Genetic Algorithm for Traveling Salesman Problem with Modified Cycle Crossover Operator.

Genetic algorithms are evolutionary techniques used for optimization purposes according to survival of the fittest idea. These methods do not ensure optimal solutions; however, they give good approximation usually in time. The genetic algorithms are useful for NP-hard problems, especially the traveling salesman problem.

Urban-rural and socioeconomic variations in the knowledge of STIs and AIDS among Bangladeshi adolescents.

This study used data from the Bangladesh Adolescents Survey 2005 to identify socioeconomic and urban-rural determinants of knowledge regarding sexually transmitted infections (STIs) including HIV/AIDS transmission. A cluster sampling of 11 986 adolescents was conducted from April to August 2005. Data were analyzed using SPSS applying principle component analysis, multivariate logistic regression analysis, and prevalence ratios (PRs) with 95% confidence intervals (CIs).