Renewable Energy Consumption and Economic Growth in Member of OIC Countries

This study examines the causal relationship between economic growth, renewable energy consumption and oil prices using the data of 29 OIC (Organization of Islamic Cooperation) countries. The data are taken from 1990 to 2014. The study applies panel co-integration and causality in order to evaluate the long run and the causal relationship between the variables. Additionally, the empirical results suggest the existence of co-integration between the variables. The impact of renewable energy consumption on economic growth is positive and significant. The panel granger causality reveals the unidirectional causality between renewable energy consumption, oil prices and economic growth

Renewable Energy Consumption and Economic Growth in Member of OIC Countries

This study examines the causal relationship between economic growth, renewable energy consumption and oil prices using the data of 29 OIC (Organization of Islamic Cooperation) countries. The data are taken from 1990 to 2014. The study applies panel co-integration and causality in order to evaluate the long run and the causal relationship between the variables. Additionally, the empirical results suggest the existence of co-integration between the variables. The impact of renewable energy consumption on economic growth is positive and significant. The panel granger causality reveals the unidirectional causality between renewable energy consumption, oil prices and economic growth

Socio-Economic Determinants of Crime: An Empirical Study of Pakistan

The objective of present study is to empirically examine the socio-economic determinants of crime in Pakistan. The analysis is carried out by using the annual time series data for the period 1973-2014. The dependent variable is total crime rate (per one million population), While the explanatory variables are unemployment, education, income inequality, per capita income, and deterrence variable. The study estimates, the long-run and short-run elasticities of supply of offense function by using ARDL (Autoregressive Distributed Lag model) approach. Keywords: Deterrence, time series, Crime rate, Property crime, Violent Crime JEL classifications: I24, N3, P4

Relationships between economic complexity, renewable energy uptake and environmental degradation: A global study

A persistent rise in the emission of CO2 among several economies in the world makes it challenging to fulfil the aims of the Sustainable Development Goals. The present study empirically examines the connection between economic complexity, which is understood to be structural conversion headed for more refined information-based production, renewable energy demand, per capita income, trade openness, industrialisation, and CO2 emissions among income-based groups of nations from 1998–2021. It also incorporates partner economies of the One Belt One Road (OBOR) project because these cover 65% of the global population. The findings of the panel autoregressive distributed lag model confirms that virtually all of the chosen samples of the various economies, aside from high-income economies, show that economic complexity degrades the environment. On the other hand, the demand for renewable energy enhances global environmental quality. The study highlights the significance of clean energy ventures and the production of greener quality products globally to minimise environmental damage

Investigating the Correlation Between Presence and Reaction Time in Mixed Reality

Measuring presence is critical to improving user involvement and performance in Mixed Reality (MR). \emph{Presence}, a crucial aspect of MR, is traditionally gauged using subjective questionnaires, leading to a lack of time-varying responses and susceptibility to user bias. Inspired by the existing literature on the relationship between presence and human performance, the proposed methodology systematically measures a user's reaction time to a visual stimulus as they interact within a manipulated MR environment. We explore the user reaction time as a quantity that can be easily measured using the systemic tools available in modern MR devices. We conducted an exploratory study (N=40) with two experiments designed to alter the users' sense of presence by manipulating \emph{place illusion} and \emph{plausibility illusion}. We found a significant correlation between presence scores and reaction times with a correlation coefficient -0.65, suggesting that users with a higher sense of presence responded more swiftly to stimuli. We develop a model that estimates a user's presence level using the reaction time values with high accuracy of up to 80\%. While our study suggests that reaction time can be used as a measure of presence, further investigation is needed to improve the accuracy of the model

How does economic complexity affect natural resource extraction in resource rich countries?

Several studies debate whether natural resources benefit or hurt an economy. In natural resource-rich economies researchers cannot conclude it. This study examines the relationship between natural resource rent, economic complexity, clean technology, and natural resource productivity capacity in 20 resource-rich economies from 2000 to 2021. Coal, oil, minerals, natural gases, and forest rents are disaggregated in the study. The economic complexity curvilinear function illustrates the inverse U-shaped relationship under the environmental Kuznets curve (EKC) or the U-shaped relationship under load capacity curve (LCC) between economic complexity and natural resources rent. This study hypothesizes that economic complexity increases resource extraction curvilinearly, changing resource rents which may have implications in the transition towards clean energy under COP27 to achieve SDGs. The study shows the marginal effects of economic complexity at different levels of complexity and resource extraction using quadratic and quantile functions. This study first examines resource extraction quantiles. Economic complexity raises forest, coal, and mineral rents at low resource extraction. Economic complexity lowers forest, gas, oil, coal, and mineral rents at high resource extraction. This study describes the curvilinear function. At the median resource extraction level, economic complexity has an inverted U-shaped effect on forest, mineral, and coal rents and a U-shaped effect on gas and oil rents. This implies that an increase in economic complexity can be targeted which may reduce reliance on forests, minerals, and coal while reducing reliance on gas and oil, government effort, green technology, and productive capacity needed to be pursued

Fibrolipomatous hamartoma of the median nerve with macrodystrophia lipomatosa

Fibrolipomatous hamartoma (FLH) is a rare congenital condition that presents with a benign overgrowth of the bone and fibroadipose tissue termed as macrodystrophia lipomatosa (MDL). Although commonly seen in the median nerve, other peripheral nerves can be involved. Diagnosis can be made on magnetic resonance imaging (MRI) due to the characteristic coaxial cable appearance on axial images and the spaghetti appearance on sagittal images. Histology shows mature adipose and fibrous tissue infiltrating the epineural and perineural compartments. Multiple or debulking surgeries are often needed, with an emphasis on cosmetic aspects. We present one such case in which wide margin excision and sural nerve graft were carried out

Range for normal body temperature in the general population of Pakistan.

OBJECTIVES: To determine the range for normal body temperature in the general population of Pakistan and to determine if any age, sex and ambient temperature related variations exist in body temperature. Moreover, to compare how much axillary temperature differs from oral temperature measurements. METHODS: Oral as well as left and right axillary temperature recordings were made using an ordinary mercury-in-glass thermometer in 200 healthy individuals accompanying patients at various clinics at the Sindh Institute of Urology and Transplantation (SIUT) between mid-May to mid-June 2006. Data analysis was done using Epi Info version 3.3. RESULTS: The range for Normal Oral Temperatures fell between 97 degrees F to 99.8 degrees F (mean 98.4 degrees F). There were no significant age related (p=0.68) and ambient temperature related variations (p=0.51) in body temperature, but women had slightly higher normal temperatures than men (mean 98.5 degrees F vs. 98.3 degrees F; p=0.01). A wide variation existed in the difference between oral and axillary temperatures, with axillary temperatures ranging up to 2.6 degrees F lower or up to 1.1 degrees F higher than the oral temperatures (mean difference = 0.85 degrees F). The correlation between oral and axillary temperatures increased at higher oral temperatures (p=0.009). CONCLUSION: There is a range for Normal Body Temperature and any temperature above 98.6 degrees F/37 degrees C is not necessarily pathological. Women appear to have higher body temperatures. As there is no uniform oral equivalent of axillary temperature, the latter should be interpreted with caution