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Danish,Recep Ulucak,Seyfettin Erdogan 한국원자력학회 2022 Nuclear Engineering and Technology Vol.54 No.4
The earlier studies have analyzed theoretical links between nuclear energy and carbon dioxide (CO2)emissions concerning territorial (or production-based) emissions. Here using the latest available dataset,this study explores the impacts of nuclear energy on production-based and consumption-based CO2emission in the era of globalization for the Organization for Economic Co-operation and Development(OECD) countries. The Driscoll-Kraay regression method reveals that nuclear energy is beneficial for thereduction of production-based CO2 emissions. However, it is revealed that nuclear energy does notreduce consumption-based CO2 emissions that are traded internationally and hence not comprised inconventional production-based emissions (territory) inventories. Globalization tends to reduce bothproduction-based and demand-based carbon emissions. Finally, Environmental Kuznets Curve (EKC) isvalidated for both kinds of CO2 emissions. The findings may deliver practical policy implications relatedto nuclear energy and CO2 emissions for selected countries.
Danish, Danish,Ud-Din Khan, Salah,Ahmad, Ashfaq Korean Nuclear Society 2021 Nuclear Engineering and Technology Vol.53 No.8
The environmental effects of China's nuclear energy consumption in a dynamic framework of the pollution haven hypothesis are examined. This study uses a dynamic autoregressive distributed lag simulation approach. Empirical evidence confirms that the pollution haven hypothesis does not exist for China; i.e., foreign direct investment plays a promising role in influencing environmental outcomes. Furthermore, empirical results concluded positive contribution of nuclear energy in pollution mitigation. From the results it is expected that encouraging foreign investment to increase generation of nuclear energy would benefit environmental quality by reducing CO<sub>2</sub> emissions.
Danish, Danish,Ozcan, Burcu,Ulucak, Recep Korean Nuclear Society 2021 Nuclear Engineering and Technology Vol.53 No.6
The transition toward clean energy is an issue of great importance with growing debate in climate change mitigation. The complex nature of nuclear energy-CO<sub>2</sub> emissions nexus makes it difficult to predict whether or not nuclear acts as a clean energy source. Hence, we examined the relationship between nuclear energy consumption and CO<sub>2</sub> emissions in the context of the IPAT and Environmental Kuznets Curve (EKC) framework. Dynamic Auto-regressive Distributive Lag (DARDL), a newly modified econometric tool, is employed for estimation of long- and short-run dynamics by using yearly data spanning from 1971 to 2018. The empirical findings of the study revealed an instantaneous increase in nuclear energy reduces environmental pollution, which highlights that more nuclear energy power in the Indian energy system would be beneficial for climate change mitigation. The results further demonstrate that the overarching effect of population density in the IPAT equation stimulates carbon emissions. Finally, nuclear energy and population density contribute to form the EKC curve. To achieving a cleaner environment, results point out governmental policies toward the transition of nuclear energy that favours environmental sustainability.
( Danish Andrian ),( Denny Rizkinata ),( Tan Steven Ryan Susanto ),( Jap Lucy ),( Tan Tjie Jan ) 한국미생물생명공학회(구 한국산업미생물학회) 2018 한국미생물·생명공학회지 Vol.46 No.3
Streptococcus thermophilus, Lactobacillus delbrueckii, Lactobacillus fermentum and Lactobacillus casei were successfully isolated from indigenous Indonesian fresh milk based on the general morphological and biochemical classification as described in Bergey’s manual. Verification was conducted by sequencing of 16S rRNA after selection using the classification method mentioned in the manual. All isolates exhibited antimicrobial activity against Escherichia coli and Staphylococcus aureus in the well diffusion test. The susceptibilities of the isolated S. thermophilus 24/S1 and L. delbrueckii 94/L4 against 22 different antibiotics were determined by the disc diffusion method and variable susceptibility patterns were observed. Both isolates were susceptible to amoxicillin, the most commonly prescribed antibiotic, and resistant to sulfonamide. The presence of a plasmid was not detected after extraction. S. thermophilus 24/S1 and L. delbrueckii 94/L4 starter cultures were prepared for yogurt production after 9.5 h of incubation and the yogurt was evaluated for its flavor and quality by 30 volunteers. A score of 4.93 ± 0.45 out of 7 was obtained as compared to the yogurt prepared using commercial starter cultures which yielded a score of 4.76 ± 0.30 out of 7.
Application of Fuzzy Logic for Predicting of Mine Fire in Underground Coal Mine
Danish, Esmatullah,Onder, Mustafa Occupational Safety and Health Research Institute 2020 Safety and health at work Vol.11 No.3
Background: Spontaneous combustion of coal is one of the factors which causes direct or indirect gas and dust explosion, mine fire, the release of toxic gases, loss of reserve, and loss of miners' life. To avoid these incidents, the prediction of spontaneous combustion is essential. The safety of miner's in the mining field can be assured if the prediction of a coal fire is carried out at an early stage. Method: Adularya Underground Coal Mine which is fully mechanized with longwall mining method was selected as a case study area. The data collected for 2017, by sensors from ten gas monitoring stations were used for the simulation and prediction of a coal fire. In this study, the fuzzy logic model is used because of the uncertainties, nonlinearity, and imprecise variables in the data. For coal fire prediction, CO, O<sub>2</sub>, N<sub>2</sub>, and temperature were used as input variables whereas fire intensity was considered as the output variable.The simulation of the model is carried out using the Mamdani inference system and run by the Fuzzy Logic Toolbox in MATLAB. Results: The results showed that the fuzzy logic system is more reliable in predicting fire intensity with respect to uncertainties and nonlinearities of the data. It also indicates that the 1409 and 610/2B gas station points have a greater chance of causing spontaneous combustion and therefore require a precautional measure. Conclusion: The fuzzy logic model shows higher probability in predicting fire intensity with the simultaneous application of many variables compared with Graham's index.