Ahi Evran University

About: Ahi Evran University is a education organization based out in Kırşehir, Turkey. It is known for research contribution in the topics: Density functional theory & Ab initio. The organization has 842 authors who have published 2270 publications receiving 21904 citations.

The influence of biomass energy consumption on CO2 emissions: a wavelet coherence approach.

Abstract: In terms of today, one may argue, throughout observations from energy literature papers, that (i) one of the main contributors of the global warming is carbon dioxide emissions, (ii) the fossil fuel energy usage greatly contributes to the carbon dioxide emissions, and (iii) the simulations from energy models attract the attention of policy makers to renewable energy as alternative energy source to mitigate the carbon dioxide emissions. Although there appears to be intensive renewable energy works in the related literature regarding renewables’ efficiency/impact on environmental quality, a researcher might still need to follow further studies to review the significance of renewables in the environment since (i) the existing seminal papers employ time series models and/or panel data models or some other statistical observation to detect the role of renewables in the environment and (ii) existing papers consider mostly aggregated renewable energy source rather than examining the major component(s) of aggregated renewables. This paper attempted to examine clearly the impact of biomass on carbon dioxide emissions in detail through time series and frequency analyses. Hence, the paper follows wavelet coherence analyses. The data covers the US monthly observations ranging from 1984:1 to 2015 for the variables of total energy carbon dioxide emissions, biomass energy consumption, coal consumption, petroleum consumption, and natural gas consumption. The paper thus, throughout wavelet coherence and wavelet partial coherence analyses, observes frequency properties as well as time series properties of relevant variables to reveal the possible significant influence of biomass usage on the emissions in the USA in both the short-term and the long-term cycles. The paper also reveals, finally, that the biomass consumption mitigates CO2 emissions in the long run cycles after the year 2005 in the USA.

Evaluation of preoperative anxiety and fear of anesthesia using APAIS score.

Abstract: Preoperative anxiety is one of the most important problems for the patients, because it causes emotional and psychiatric problems as well as physical problems It is crucial to detect the patient’s existing anxiety to assist patients Our primary aim in this study is to investigate how the patient’s age, gender, the operation, surgical briefing, type of anesthesia recommended for the operation ahead, and patient’s prior anesthesia experience affect the patient’s anxieties Our secondary aim is to reveal the causes of the patient’s anxieties regarding anesthesia Our study was conducted as a prospective cohort study between May 2016–2017 Interviews with the patients were performed in the anesthesia clinic for preoperative examination For the study, The Amsterdam Preoperative Anxiety and Information Scale (APAIS) has been used The answers were evaluated in two scales: the anxiety score and the desire for information score Answers to the statements were evaluated with Likert Scale In addition, our patients were asked whether they had received prior anesthesia, if so, the type of anesthesia, whether they received surgical briefing and anesthetic method we recommended We also asked our patients about the cause of their anxiety regarding the anesthesia A total of 637 patients were recruited to the study, after excluding the patients who do not meet the criteria for inclusion, and 499 patients were included Between the age and desire for information sub-scores, a negative significant correlation was detected (r: − 0241; p = 0001) We found that the scores of graduates of university and higher were statistically significant than the primary school graduates (p = 0003) and secondary school graduates (p = 0034) Anxiety sub-scores of the patients who underwent general anesthesia were found to be significantly higher than the patients who underwent regional anesthesia (p = 0029) Anxiety sub-scores of females were found to be significantly higher than the males (p = 0001) We think that being aware of the patients’ anxiety and finding appropriate approaches for their anxieties can be valuable APAIS is an effective method to measure patient anxiety and it might be beneficial to use during preoperative visits Patient satisfaction and superior outcomes can be achieved in this way Trial registration ISRCTN43960422 Registered 19/02/2018—Retrospectively registered http://wwwisrctncom/ISRCTN43960422