(E)-2-[(4-Iodo­phen­yl)imino­meth­yl]-6-methyl­phenol

The title compound, C14H12INO, adopts the phenol–imine tautomeric form. The dihedral angle between the aromatic rings is 20.6 (3)°. The mol­ecular conformation is stabilized by an intra­molecular O—H⋯N hydrogen bond while in the crystal, weak inter­molecular C—H⋯O hydrogen bonds link the mol­ecules into a zigzag chain parallel to the b axis

The history of greenhouse gas emissions and relation with the nuclear energy policy for Turkey

The globalising world, rapidly developing technology and growing population have brought many problems and led to disrupting the world ecological balance. Today, existing energy sources reached such a level that cannot meet the current needs of the world. Due to the fact that fossil fuels will run out in near future, it has made mankind tending to seek alternative energy sources. The main issues addressed in this paper are the history of greenhouse gas emissions (GHGe) and relations with nuclear energy policy, particularly in Turkey. Currently, nuclear has much less GHGe and high energy-efficiency, and also meets 10.6% of the world primary electiricty energy demand. Therefore, countries seriously began to evaluate nuclear energy instead of fossil-fuels. In line with this, Turkey started to build third nuclear plants and aims to meet at least 15% of its primary electiricity energy demand. Hereby, Turkey is not only reducing dependence on fossil-fuels but also planning to reach the undertaken GHGe level as a country of signed the Kyoto protocol.WOS:0006841311000052-s2.0-8511233084

Performance assessment of a V-trough photovoltaic system and prediction of power output with different machine learning algorithms

This study carried out in two stages. In the first stage, four different-sized layers were designed and manufactured for a concentrated photovoltaic system. These layers were used to change the concentration ratio and area ratio of the system. Furthermore, a new power coefficient equation with this paper is proposed to the literature for the determination of the system performance. In the second stage of the study, the power outputs measured in the study were predicted with four machine-learning algorithms, namely support vector machine, artificial neural network, kernel and nearest-neighbor, and deep learning. To evaluate the success of these machine learning algorithms, coefficient of determination (R-2), root mean squared error (RMSE), mean bias error (MBE), t-statistics (t-stat) and mean absolute bias error (MABE) have been discussed in the paper. The experimental results demonstrated that the double-layer application for the concentrator has ensured better results and enhanced the power by 16%. The average concentration ratio for the double-layer was calculated to be 1.8. Based on these data, the optimum area ratio was determined to be 9 for this V-trough concentrator. Furthermore, the power coefficient was calculated to be 1.35 for optimum area ratio value. R-2 of all algorithms is bigger than 0.96. Support vector machine algorithm has generally presented better prediction results particularly with very satisfying R-2, RMSE, MBE, and MABE of 0.9921, 0.7082 W, 0.3357 W, and 0.6238 W, respectively. Then it is closely followed by kernel-nearest neighbor, artificial neural network, and deep learning algorithms, respectively. In conclusion, this paper is reporting that the proposed new power coefficient approach is giving more reliable results than efficiency data and the power output data of concentrated photovoltaic systems can be highly predicted with the machine learning algorithms. (c) 2020 Elsevier Ltd. All rights reserved.Karabuk University Scientific Research Projects Coordination UnitKarabuk University [KBU-BAP-15/1-YL-019]This study is supported by Karabuk University Scientific Research Projects Coordination Unit. Project Number: KBU-BAP-15/1-YL-019.WOS:0005615948000912-s2.0-8508689580

The history of greenhouse gas emissions and relation with the nuclear energy policy for Turkey

The globalising world, rapidly developing technology and growing population have brought many problems and led to disrupting the world ecological balance. Today, existing energy sources reached such a level that cannot meet the current needs of the world. Due to the fact that fossil fuels will run out in near future, it has made mankind tending to seek alternative energy sources. The main issues addressed in this paper are the history of greenhouse gas emissions (GHGe) and relations with nuclear energy policy, particularly in Turkey. Currently, nuclear has much less GHGe and high energy-efficiency, and also meets 10.6% of the world primary electiricty energy demand. Therefore, countries seriously began to evaluate nuclear energy instead of fossil-fuels. In line with this, Turkey started to build third nuclear plants and aims to meet at least 15% of its primary electiricity energy demand. Hereby, Turkey is not only reducing dependence on fossil-fuels but also planning to reach the undertaken GHGe level as a country of signed the Kyoto protocol.WOS:0006841311000052-s2.0-8511233084

Synthesis, spectroscopic (FT-IR, UV-Vis), experimental (X-Ray) and theoretical (HF/DFT) study of: (E)-2-Chloro-N-((4-nitrocyclopenta-1,3-dienyl)methylene)benzenamine

3rd International Turkish Congress on Molecular Spectroscopy (TURCMOS) -- AUG 26-29, 2017 -- Bodrum, TURKEYozdemir tari, gonca/0000-0001-5919-1778WOS: 000449132500005A new Schiff base, (E)-2-chloro-N-((4-nitrocyclopenta-1,3-dienyl)methylene)benzenamine, C11H7ClN2O2S has been synthesized and structurally characterized by spectroscopy methods. The computational calculations were done at HF and DFT/B3LYP/B3PW91 and PBEPBE levels with 6 -311++G(d,p) basis set. The FT-IR and UV-Vis spectra have been calculated theoretically using the same methods and are compared with the experimental spectra. These comparisons indicated that the calculated results are in agreement with the experimental data. In addition, electronic and optical properties of the title compound are investigated based on theoretical calculations. (C) 2018 Elsevier B.V. All rights reserved.Giresun UniversityGiresun University [BAP-A-140316-57]This study was supported by Giresun University Scientific Research Projects through project BAP-A-140316-57. The authors are grateful to Dr. Nuri Ozturk and Dr. Halim Buyukuslu for contribution

Evaluation of acetylcholinesterase and carbonic anhydrase inhibition profiles of 1,2,3,4,6-pentasubstituted-4-hydroxy-cyclohexanes

Carbonic anhydrase (CA; EC 4.2.1.1) is used for remedial purposes for several years, as there is significant focus on expanding more new activators (CAAs) and high affinity inhibitors. Alzheimers disease and other similar ailments such as dementia and vascular dementia with Lewy bodies reduce cholinergic activity in the important areas involved in cognition and memory. Prevalent drugs for the symptomatic therapy of dementia are significant in increasing the associated cholinergic deficiency by inhibiting acetylcholinesterase (AChE). These six-membered carbocycles showed nice inhibitory action against AChE and human carbonic anhydrase (hCA) II and I isoforms. The hCA I, II, and AChE were efficiently inhibited by these molecules, with K-i values in the range of 6.70-35.85nM for hCA I, 18.77-60.84nM for hCA II, and 0.74-4.60 for AChE, respectively

External and endoscopic dacryocystorhinostomy in chronic dacryocystitis: comparison of results

To compare external and endoscopic dacryocystorhinostomy outcomes in patients with chronic dacryocystitis, a total of 103 patients with the complaint of epiphora and diagnosed as chronic dacryocystitis were included in the study. We performed external dacryocystorhinostomy on 55 patients under local anesthesia and endoscopic dacryocystorhinostomy on 48 patients under general anesthesia by means of drill and placed silicon stents to all the patients. The patients were examined endoscopically, at postoperative intervals of 1 week, first month, third month, sixth month and the first year. The patency of the tubes and nasolacrimal ducts were evaluated by irrigation and complaints of the patients were noted. Silicon stents were harvested at the sixth week postoperatively. Outcomes were classified as successful when epiphora diminished, no recurrent infection was noted and minimal or no reflux from the canaliculis during or after lacrimal irrigation was seen. A prospective endoscopic surgery group was compared to a prospective control group (external dacryocystorhinostomy). Full success was achieved in 69.9% of the patients with external dacryocystorhinostomy group whereas the full success rate of endoscopic dacryocystorhinostomy was 89.7%. Recently popularized endoscopic dacryocystorhinostomy is a safe and reliable procedure with high success rates

Experimental analysis of CPV/T solar dryer with nano-enhanced PCM and prediction of drying parameters using ANN and SVM algorithms

In this paper, a concentrated photovoltaic-thermal solar dryer (CPV/TSD) using nano-enhanced PCM (Al2O3Paraffin wax) is experimentally studied. A comprehensive thermodynamic analysis of the system according to the first and second laws is discussed. Besides, the drying parameters (moisture content and moisture ratio) are predicted using the two machine learning algorithms (ANN and SVM) and compared the prediction success with four evaluation metrics (R2, rRMSE, MBE, and rMAE). The overall thermal energy efficiency and exergy efficiency of the CPV/TSD system are found to be 20% and 8%, respectively. Although solar radiation to the environment has decreased a lot, it has been found that the thermal energy transferred to the nano-enhanced PCM prevents the decrease in greenhouse temperature for the first 100 min. In the system, mushrooms are dried from the initial moisture content of 17.45 g water/g dry matter to the final moisture content of 0.0515 g water/g dry matter. Then the drying rate value for CPV/TSD system is calculated to be 0.436 g matter/g dry matter.min. On the other hand, even if both ANN and SVM algorithms have exhibited very satisfying results, ANN is coming to the fore in the prediction of the drying parameters considering all evaluation metrics together.WOS:0006371918000062-s2.0-8510202395

Synthesis, structural, spectral (FT-IR, H-1 and C-13 NMR and UV-Vis), NBO and first order hyperpolarizability analysis of N-(4-nitrophenyl)-2, 2-dibenzoylacetamide by density functional theory

Aygun, Muhittin/0000-0001-9670-9062; Aygun, Muhittin/0000-0001-9670-9062; ceylan, umit/0000-0003-2888-2378WOS: 000360870100049The title compound, C22H16N2O5, was synthesized and characterized by experimental techniques (FT-IR, H-1 NMR, C-13 NMR, UV-Vis and X-Ray single crystal determination) and theoretical calculations. The molecular geometry, vibrational frequencies, molecular electrostatic potential (MEP), thermodynamic properties, the dipole moments, HOMO-LUMO energy has been calculated by using the Density Functional Theory (DFT) method with 6-311G(d,p) and 6-311++G(d,p) basis sets. H-1 and C-13 NMR chemical shifts show good agreement with experimental values. According to calculated results, the 6-311G(d,p) and 6-311++G(d,p) basis sets have showed similar results. The optimized geometry can well reproduce the crystal structure parameters. (C) 2015 Elsevier B.V. All rights reserved.Presidency of Scientific Research Projects of University GaziantepGaziantep University [FEF.10.08]This study was funded from Presidency of Scientific Research Projects of University Gaziantep (FEF.10.08). The authors thank Harran University Chemistry Department and Central Laboratory for IR and NMR, respectively; Dokuz Eylul University for XRD measurement of the title compound