Policy recommendations for handling brain drains to provide sustainability in emerging economies

The purpose of this study is to identify the most significant issues to handle brain drains to provide sustainability in emerging economies. In this framework, a new model has been created that consists of two different stages for this situation. Firstly, necessary criteria are identified based on the key items of the balanced scorecard approach. These factors are weighted by using a bipolar q-rung orthopair fuzzy multi stepwise weight assessment ratio analysis (BOFQ M-SWARA) approach with golden ratio. Next, seven emerging economies are ranked with respect to their performance in decreasing brain drains by BOFQ, the elimination and choice of translating reality (ELECTRE) with the golden ratio. An evaluation is also carried out with intuitionistic fuzzy sets (IFSs) and Pythagorean fuzzy sets (PFSs) to test the validity of the findings. The results are similar for all different fuzzy sets, which indicates that the findings are quite coherent and reliable. The most important factor in reducing brain drain has been identified as technical competency. It would be appropriate for countries to provide tax exemptions for research and development studies. This situation can easily attract the attention of companies, as it will contribute to the reduction of costs. Thus, it will be easier to provide technological innovations in the country in the future. Thanks to technological development, it is possible to increase the productivity of enterprises in the country. In this way, the brain drain problem can be minimized as qualified personnel stay in the country. With the high number of qualified people in the country, it will be possible to produce eco-innovative products and develop clean energy technology. Due to this issue, sustainability can be provided in the economic development of emerging economies

Modeliranje tlačne čvrstoće paralelno s vlakancima toplinski obrađenog drva škotskog bora (Pinus sylvestris L.) s pomoću umjetne neuronske mreže

In this study, the compressive strength of heat treated Scotch Pine was modeled using artificial neural network. The compressive strength (CS) value parallel to grain was determined after exposing the wood to heat treatment at temperature of 130, 145, 160, 175, 190 and 205ºC for 3, 6, 9, 12 hours. The experimental data was evaluated by using multiple variance analysis. Secondly, the effect of heat treatment on the CS of samples was modeled by using artificial neural network (ANN).Rad prikazuje numeričku proceduru za analizu struktura izrađenih od kompleksnih laminata. U radu se obrađuje modeliranje tlačne čvrstoće toplinski obrađenog drva škotskog bora uz pomoć umjetne neuronske mreže. Vrijednost tlačne čvrstoće (CS) paralelno s vlakancima određena je nakon toplinske obrade pri temperaturi 130, 145, 160, 175, 190 i 205 ºC tijekom 3, 6, 9 i 12 sati. Eksperimentalni podaci analizirani su primjenom višestruke analize varijance. Osim toga, učinak toplinske obrade na tlačnu čvrstoću uzoraka modeliran je uz pomoć umjetne neuronske mreže (ANN)

Using the Travertine Wastes in Denizli and its Surroundings as an Additive of Cement

It is intended to minimize the damage to agriculture of travertine wastes, which are one of the most important export products in Denizli, to reduce the waste piles, to minimize the waste costs of travertine factories and to improve the mechanical properties of concrete in this study. In this experimental study, travertine has been used in concrete instead of 5%, 10%, 15%, 20%, 25% and 30% of cement. Compressive strength and flexural strength has been tested after 28 days from the production of concrete. The travertine doped samples were compared with natural models. Through this study, optimum travertine percentages had found and a waste, which harms the agriculture, had used in concrete as an additive material. And producing concrete pavings and curbs with this optimum percentages is planned

An Experimental Study on XPS and Insulation Paint in Buildings

The depletion of energy resources consumed in all areas of daily life, the introduction of new energy sources, energy savings, research for the efficient use of energy became a priority. Made of thermal insulation for energy efficiency in buildings also has been made compulsory by the relevant standards. For energy efficiency; What kind of project would be implemented in an insulation material should be decided on and implemented in the construction phase. Thermal insulation materials used in building and developing diversity is increasing day by day. Containing ceramic thermal insulation coatings developed recently was able to take part in practice. There are lots of uncertainty since the new method found. Thermal performance of thermal insulation material widely used industry newcomer XPS heat insulation coating material made under this study is to shed light on these doubts were compared experimentally. Three model building was produced as a testing apparatus which has 2x2m2 floor area and 2.5m height. One of the models is applied no insulation to make reference. One of the other models; 5 cm thick thermal insulation made using the XPS, the other heat-insulating coating material is applied. Temperature changes in all models in a first stage of the experiment were recorded at 10 min intervals for 10 days. In the second step of the test series, the same power in all models was heated for 5 hours between 19:20 to 00:20 hours heat sources placed, then allowed to cool. External environment and temperature variations of the model were followed by periods of 10 minutes and recorded. As a result of experimental studies; XPS heat insulation thermal performance while expected, the model does not apply any paint applied to insulated thermal insulation of the model; led to nearly the same thermal performance values

Characterization of FcγRIa (CD64) as a ligand molecule for site-specific IgG1 capture: A side-by-side comparison with protein a

Fc γreceptors (FcγRs) are one of the structures that can initiate effector function for monoclonal antibodies. FcγRIa has the highest affinity toward IgG1-type monoclonal antibodies among all FcγRs. In this study, a comprehensive characterization was performed for FcγRIa as a potential affinity ligand for IgG1-type monoclonal antibody binding. The binding interactions were assessed with the SPR technique using different immobilization techniques such as EDC-NHS coupling, streptavidin-biotin interaction, and His-tagged FcγRIa capture. The His-tagged FcγRIa capture was the most convenient method based on assay repeatability. Next, a crude IgG1 sample and its fractions with different monomer contents obtained from protein A affinity chromatography were used to evaluate FcγRIa protein in terms of monoclonal antibody binding capacity. The samples were also compared with a protein A-immobilized chip (a frequently used affinity ligand) for IgG1 binding responses. The antibody binding capacity of the protein A-immobilized chip surface was significantly better than that of the FcγRIa-immobilized chip surface due to its 5 Ig binding domains. The antibody binding responses changed similarly with protein A depending on the monomer content of the sample. Finally, a different configuration was used to assess the binding affinity of free FcγRs (FcγRIa, FcγRIIa, and FcγRIIIa) to three different immobilized IgGs by immobilizing protein L to the chip surface. Unlike previous immobilization techniques tested where the FcγRIa was utilized as a ligand, nonimmobilized or free FcγRIa resulted in a significantly higher antibody binding response than free protein A. In this configuration, kinetics data of FcγRI revealed that the association rate (ka 50-80 × 105 M-1 s-1) increased in comparison to His capture method (1.9-2.4 × 105 M-1 s-1). In addition, the dissociation rate (kd 10-5 s-1) seemed slower over the His capture method (10-4 s-1) and provided stability on the chip surface during the dissociation phase. The KD values for FcγRIa were found in the picomolar range (2.1-10.33 pM from steady-state affinity analysis and 37.5-46.2 pM from kinetic analysis) for IgG1-type antibodies. FcγRIa possesses comparable ligand potential as well as protein A. Even though the protein A-immobilized surface bound more antibodies than the FcγRIa-captured surface, FcγRIa presented a significant antibody binding capacity in protein L configuration. The results suggest FcγRIa protein as a potential ligand for site-oriented immobilization of IgG1-type monoclonal antibodies, and it needs further performance investigation on different surfaces and interfaces for applications such as sensing and antibody purification

Plasma lipoprotein(a) levels in patients with slow coronary flow

WOS: 000327688400001PubMed ID: 24570746Introduction: Slow coronary flow (SCF) is a microvascular disorder characterized by delayed opacification of coronary vessels with normal coronary angiogram. It may be due to endothelial dysfunction and diffuse atherosclerosis. Lipoprotein(a) [Lp(a)] is related to cardiovascular events. Plasma Lp(a) levels have not been studied previously in SCF patients. Aim: We investigated plasma Lp(a) and fibrinogen levels, and their relation to coronary flow rate in patients with SCE Material and methods: This cross-sectional study included 50 patients with SCF and 30 age- and sex-matched controls who had normal coronary arteries and normal flow. Coronary flow rates of patients and controls were counted with the thrombolysis in myocardial infarction (TIMI) frame count. Plasma Lp(a) and fibrinogen levels were measured in SCF patients and controls, with routine biochemical tests. Results: There were no significant differences between the two groups with respect to plasma Lp(a) (21 mg/dl vs. 14 mg/dl, p = 0.11) and fibrinogen (278 mg/dl vs. 291 mg/dl, p = 0.48) levels. The TIMI frame count was not correlated with plasma Lp(a) (r = 0.13, p = 0.25) or fibrinogen (r = -0.14, p = 0.28) levels. Conclusions: Our results show that there is no significant association between SCF and Lp(a) and fibrinogen levels

Strategic mapping of youth unemployment with interval-valued intuitionistic hesitant fuzzy dematel based on 2-tuple linguistic values

This study aims to identify the factors that affect youth unemployment in emerging countries. For this purpose, 3 dimensions and 12 criteria are selected as a result of literature review. The analysis process has 3 different steps. Firstly, interval-valued intuitionistic fuzzy sets are created with the help of 2-tuple linguistic data. Additionally, relation matrix is generated by considering these fuzzy sets. In the second process, defuzzification process is occurred. Finally, the dimensions and criteria are weighted with Decision-Making Trial and Evaluation Laboratory (DEMATEL) approach by using defuzzified data sets. The findings indicate that economic and social inequalities play the most significant role for youth unemployment in emerging countries. On the other side, it is also identified that economic crisis and insufficient education conditions are also important issues which lead to youth unemployment in these countries. Hence, it is recommended that governments should implement fair tax management practices in these countries to minimize economic and social inequalities. Furthermore, education conditions should be improved in the countries. In this framework, an effective education plan can be designed by cooperating with companies in the industry. Thus, labor needs in industry can be identified and education system can be designed according to the needs in the market. With the help of these implementations, it can be much easier for young people to find a job.Science and Technology Research Project of Department of Education of Jiangxi Province of China Public Welfare Technology Application Research Plan of Zhejiang Province of Chin

Nonsymptomatic myocardial bridge causing systolic total narrowing of circumflex artery

Myocardial bridge is defined as the narrowing of any coronary artery segment in systole but a normal diameter in diastole. It is most frequently seen on left anterior descending (LAD) artery. Left circumflex artery (LCx) is very rare. A 62 year-old male patient presented with severe, squeezing chest pain. The electrocardiogram showed T wave inversion in V1–V4 and ST depression in DII, DIII, aVF. Coronary angiography showed complicated lesion on after S2 branches of LAD and myocardial bridge causing 100% systolic narrowing of fourth obtus marginal branch of LCx. Bare metal stent was placed to LAD lesions with no residual occlusion. The patient was discharged with beta-blocker therapy. He had no recurrent chest pain during six months of follow-up. Keywords: Myocardial bridging, Coronary circulatio