Developing an energy efficient real-time system

Increasing number of battery operated devices creates a need for energy-efficient real-time operating system for such devices. Designing a truly energy-efficient system is a multi-staged effort; this thesis consists of three main tasks that address different aspects of energy efficiency of a real-time system (RTS). The first chapter introduces an energy-efficient algorithm that alternates processor frequency using DVFS to schedule tasks on cores. Speed profiles is calculated for every task that gives information about how long a task would run for and at what processor speed. We pair tasks with similar speed profiles to give us a resultant merged speed profile that can be efficient scheduled on a cluster. Experiments carried out on ODROID-XU3 are compared with a reference approach that provides energy saving of up to 20%. The second chapter proposes power-aware techniques to segregate a task set over a heterogeneous platform such that the overall energy consumption is minimized. With the help of calculated speed profiles, second contribution of this work feasibly partitions a given task set into individual sets for a cluster based homogeneous platform. Various heuristics are proposed that are compared against a baseline approach with simulation results. The final chapter of this thesis focuses on the importance of having an underlying energy-efficient operating system. We discuss an energy-efficient way of porting a real-time operating system (RTOS), QP, over TMS320F28377S along with modifications to make the Operating System (OS) consume minimal energy for its operation --Abstract, page iii

An analysis of the effects of oil and non-oil export shocks on the Saudi economy

As the world’s largest oil exporter, Saudi Arabia faces the same pressures as any other government to expand its economy. Saudi Vision 2030 is to reduce the country’s reliance on oil exports and revenues. One of the main goals of Saudi Vision 2030 is to increase the share of GDP that does not come from oil. Dynamic autoregressive distributed lag (ARDL) cointegration is used to look at how oil exports and exports of goods other than oil affect GDP growth. The results of the dynamic ARDL simulation show that there is both long-term and short-term cointegration between the variables. The dynamic ARDL simulation tests rely on the presence of cointegration to show that a 1% increase in oil exports will boost Saudi Arabia’s economic growth by about 0.48% in the long run and 0.18% in the short run, depending on the type of time frame. In the same way, the results about non-oil exports showed that an increase in non-oil exports would boost Saudi Arabia’s economic growth by 0.26 percentage points in the long run and by 0.16 percentage points in the short run. This is a good sign of Saudi Arabia’s efforts to diversify its economy away from oil exports and make room for international investors to help the country reach its Vision 2030 goals. AcknowledgmentThis study is supported via funding from Prince Sattam bin Abdulaziz University project number (PSAU/2023/R/1444)

The Impact of Energy Consumption and Economic Growth on the Saudi Arabia’s Carbon Emissions

This study is an initial attempt to examine the correlation between energy consumption and economic growth in Saudi Arabia's carbon emissions from 1985 to 2021. Notably, despite the prominence of low-carbon economic growth in the Paris Agreement and the Sustainable Development Goals, this specific link has yet to be previously investigated. The study used an autoregressive distributed lag (ARDL) approach to analyse the relationship between carbon emissions from energy consumption and economic development in Saudi Arabia. The bound test shows that the relationship has been going on for a long time, and the error correction equation shows that the endogenous and exogenous variables are negatively related by 0.58. This indicates that the system adjusts its previous period's imbalance by 58% within a single period. The Granger causality test reveals a one-way causal relationship between energy use and carbon dioxide emissions, economic growth, and oil consumption. Additionally, the generation of energy through oil-based power plants is known to result in the release of carbon emissions, although in a unidirectional manner. It is necessary to prioritize exploring alternate methods for power generation, particularly those that rely on non-conventional or renewable energy sources

Causation between Consumption, Export, Import, and Economic Growth of Oman

To examine the causation between consumption, export, import, and economic growth for the Sultanate of Oman using yearly time series data collected from the World Bank for 2000-2018. Further, it was tested by basic statistics, the Bound test with the ARDL model, and the Granger-causality tests. The findings of the Bound test analysis indicate the presence of both long-run and short-run associations among competing variables. The ARDL Model result reflects that imports have both short-run and long-run effects, supported by the Granger Causality tests by indicating the presence of unidirectional causality import to economic growth and import to consumption. The outcome of the study revealed that import is essential for economic growth as imports can absorb foreign technology in the domestic economy that can boost the export and further act as an engine of growth. How to Cite:Khan, U., Khan, A. M., Alam, M. D., & Alkatheery,N. (2022). Causation Between Consumption, Export, Import & Economic Growth of Oman. Etikonomi, 21(1), 67-78. https://doi.org/10.15408/etk.v21i1.20034

Economic growth and its relationship with the macroeconomic factors: An analysis of Oman

This study determines Oman’s most important macroeconomic factors between 1990 and 2019. The ARDL bound test findings for co-integration show that both long and short runs exist. The error-correcting mechanism further states that when the divergence from long-run equilibrium is rectified at an adaptation speed of 78.9%, it signals an inversion to a long-run stable state. In response to a change in the previous year’s economic growth, the final consumption expenditure indicates a rise of 0.472; the gross fixed capital formation and export indicate hikes of 0.149 and 0.358 at a 1% significance level. Additionally, the findings of co-integration regression using fully modified ordinary least square (FMOLS), dynamic ordinary least square (DOLS), and canonical co-integration regression (CCR) were used to strengthen and validate the results that export ranks first in Oman, followed by final consumption spending. Therefore, export, gross fixed capital formation, and final consumption expenditure are vital macroeconomic elements supporting Oman’s economic development

The Progressive Correlation Between Carbon Emission, Economic Growth, Energy Use, and Oil Consumption by the Most Prominent Contributors to Travel and Tourism GDPs

Travel and tourism have glimpsed a significant and promising implication for economic development. Despite the commendatory implication of tourism, it levies a stringent environmental cost such as environmental degeneration. Hence, this study will incorporate the 18 countries out of the top 20 travel and tourism contributors to economic growth to assess the progressive correlation between tourist arrival, economic growth, energy consumption, and oil consumption on carbon emission by applying panel ARDL spanning from 1995 to 2019. The outcome of the panel ARDL reveals that both periods have witnessed that the endogenous variables have a substantial and positive impact on environmental degradation except for tourism as it indicates −0.22 and −0.48% in the long and short run, having a rate of adjustment as −0.52 toward the equilibrium. The simultaneous quantile regression reveals that in the 50 and 75 percentiles, the effect of tourism has a negative impact, which contradicts the PMG findings. These determinations suggest that the policymakers look for more manageable and environmentally sound tourism and economic growth procedures to safeguard the sustainable environment in the studied countries

Efficacy of Pre-Operative Submucosal Injection of Dexamethasone in Mandibular Third Molar Surgery: A Randomized Control Trial

INTRODUCTION: Surgical extraction of third molar irrespective of any technique results in postoperative pain, swelling of face and limited mouth opening. The aim of the present study was to assess and compare the effects of Dexamethasone (4mg) administered prior to surgery.MATERIALS AND METHOD: A randomized control trial was conducted which included a total of fifty patients. All the patients were randomly put in two groups of twenty five each. Group I patients underwent transalveolar extraction of third molar under local anesthesia and standard oral drug regime. Group II patients received an additional submucosal injection of dexamethasone 4 mg, thirty minutes prior administration of local anaesthesia. Pain, swelling and mouth opening was recorded on second, seventh and tenth post-operative days after surgery.RESULTS: The difference in pain scores on second post-operative day between two groups were found statistically non-significant. However, there was significant reduction in pain scores on seventh and tenth day in both groups. Mouth opening showed statistically significant difference between the two groups.CONCLUSION: The observations of the present study provide a fundamental basis for the use of corticosteroids such as dexamethasone sodium phosphate in the form of submucosal administration in lower than usual doses to decrease postoperative inflammation when compare to other routes of drug administration

Metabolomic profiles delineate potential role for sarcosine in prostate cancer progression

Multiple, complex molecular events characterize cancer development and progression(1,2). Deciphering the molecular networks that distinguish organ- confined disease from metastatic disease may lead to the identification of critical biomarkers for cancer invasion and disease aggressiveness. Although gene and protein expression have been extensively profiled in human tumours, little is known about the global metabolomic alterations that characterize neoplastic progression. Using a combination of high- throughput liquid- and- gas- chromatography- based mass spectrometry, we profiled more than 1,126 metabolites across 262 clinical samples related to prostate cancer ( 42 tissues and 110 each of urine and plasma). These unbiased metabolomic profiles were able to distinguish benign prostate, clinically localized prostate cancer and metastatic disease. Sarcosine, an N- methyl derivative of the amino acid glycine, was identified as a differential metabolite that was highly increased during prostate cancer progression to metastasis and can be detected non- invasively in urine. Sarcosine levels were also increased in invasive prostate cancer cell lines relative to benign prostate epithelial cells. Knockdown of glycine- N- methyl transferase, the enzyme that generates sarcosine from glycine, attenuated prostate cancer invasion. Addition of exogenous sarcosine or knockdown of the enzyme that leads to sarcosine degradation, sarcosine dehydrogenase, induced an invasive phenotype in benign prostate epithelial cells. Androgen receptor and the ERG gene fusion product coordinately regulate components of the sarcosine pathway. Here, by profiling the metabolomic alterations of prostate cancer progression, we reveal sarcosine as a potentially important metabolic intermediary of cancer cell invasion and aggressivity.Early Detection Research Network ; National Institutes of Health ; MTTC ; Clinical Translational Science Award ; Fund for Discovery of the University of Michigan Comprehensive Cancer Center ; University of Michigan Cancer Biostatistics Training Grant ; Doris Duke Charitable FoundationWe thank J. Granger for help in manuscript preparation, J. Siddiqui and R. Varambally for help with the clinical database, and A. Vellaichamy and S. Pullela for technical assistance. We thank K. Pienta for access to metastatic prostate cancer samples from the University of Michigan Prostate SPORE rapid autopsy programme. This work is supported in part by the Early Detection Research Network (A.M.C., J.T.W.), National Institutes of Health (A.S., S.P., J.B., T.M.R., D.G., G.S.O. and A.M.C.) and an MTTC grant (G.S.O. and A.S.). A.M.C. is supported by a Clinical Translational Science Award from the Burroughs Welcome Foundation. A. S. is supported by a grant from the Fund for Discovery of the University of Michigan Comprehensive Cancer Center. L. M. P. is supported by the University of Michigan Cancer Biostatistics Training Grant. A. M. C and S. P. are supported by the Doris Duke Charitable Foundation.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/62661/1/nature07762.pd

Role of energy consumption, tourism and economic growth in carbon emission: evidence from Kuwait

AbstractEven though the Paris Agreement and the Sustainable Development Goals say that low-carbon economic growth is essential, more research must be done to determine how the tourism sector affects carbon productivity. So, to see if increased energy usage, tourism, and economic growth jointly raise carbon productivity in Kuwait, this study uses a vector error correction strategy to look at the years 1995–2020. Predictions about how sustainable tourism will affect energy efficiency, and carbon productivity improvements are also an excellent way to learn more about this subject. As the amount of carbon dioxide in the air increases, tourism will go down by 0.13 percent. Inverse cointegration is the term for this phenomenon. However, the vector error correction model showed that carbon emissions go down as the economy grows and people pay more attention to how much energy they use. Nevertheless, Granger’s theory of cause and effect says that carbon emissions, energy use, and economic growth can only lead to more tourism in one way