ISSR Analysis of Variability of Cultivated Form and Varieties of Pomegranate (Punica granatum L.) from Azerbaijan

The article presents the results of a study of genetic polymorphism for the first time carried out on pomegranate varieties and forms of Azerbaijan origin using molecular markers. In total, 102 PCR fragments were identified, of which 80 were polymorphic. The high level of polymorphism (75.5%) and the rich genetic diversity were identified among the studied pomegranate collection. As a result of data analysis and on the basis of the values of the basic parameters (PIC, EMR, MI, RP, MRP) determining informativeness of markers, all 14 ISSR primers were suitable for genotyping pomegranate accessions. The most effective markers (UBC808, UBC811, UBC834, and UBC840) were identified among the set of primers tested. A dendrogram was constructed on the basis of the data obtained, which made it possible to group genotypes into 16 major clusters. The genetic similarity index ranged from 0.032 to 0.94. The study of the genetic relationship of different pomegranate varieties confirms the effectiveness of the ISSR method, which makes it possible to determine the level of genetic diversity, as well as to establish the relationship among the studied pomegranate accessions

Taking the slow route to decarbonisation? Developing climate governance for international transport

Despite their significant, growing contribution to global emissions, international aviation and shipping have avoided a significant climate governance response until recently. This paper outlines the urgent need for, but major barriers to, decarbonisation of these industries, including various market failures and sensitivities over restraining demand. The need and potential for international governance to address these issues is seen to vary across aviation and shipping, given different industry structures and characteristics. A range of relevant inter- and transnational governance institutions is highlighted and an assessment of their overall adequacy offered. With a 2018 commitment to significant emission reduction, maritime governance effort has progressed further, although significant implementation challenges remain. Meanwhile aviation-related commitments rely more on out-of-sector offsets. Options for enhancing governance for decarbonisation are outlined, highlighting the importance of, inter alia, coordination between the UNFCCC and sectoral bodies, mechanisms to finance R&D and incentivise investment, and openness in key decision-making fora

SARS-CoV-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study

Background Preoperative SARS-CoV-2 vaccination could support safer elective surgery. Vaccine numbers are limited so this study aimed to inform their prioritization by modelling. Methods The primary outcome was the number needed to vaccinate (NNV) to prevent one COVID-19-related death in 1 year. NNVs were based on postoperative SARS-CoV-2 rates and mortality in an international cohort study (surgical patients), and community SARS-CoV-2 incidence and case fatality data (general population). NNV estimates were stratified by age (18–49, 50–69, 70 or more years) and type of surgery. Best- and worst-case scenarios were used to describe uncertainty. Results NNVs were more favourable in surgical patients than the general population. The most favourable NNVs were in patients aged 70 years or more needing cancer surgery (351; best case 196, worst case 816) or non-cancer surgery (733; best case 407, worst case 1664). Both exceeded the NNV in the general population (1840; best case 1196, worst case 3066). NNVs for surgical patients remained favourable at a range of SARS-CoV-2 incidence rates in sensitivity analysis modelling. Globally, prioritizing preoperative vaccination of patients needing elective surgery ahead of the general population could prevent an additional 58 687 (best case 115 007, worst case 20 177) COVID-19-related deaths in 1 year. Conclusion As global roll out of SARS-CoV-2 vaccination proceeds, patients needing elective surgery should be prioritized ahead of the general population

Electric field measurements of a base station at 2G and 3G frequencies

IEEE MTT/ED/AP/CPMT/SSC West Ukraine Chapter;IEEE Section Ukraine12th International Conference on Perspective Technologies and Methods in MEMS Design, MEMSTECH 2016 -- 20 April 2016 through 24 April 2016 -- -- 122687Electromagnetic pollution increases every day. Effects of Non-ionizing radiation are not clear, but hundreds of study show us it is quite dangerous. In this paper we measured electromagnetic radiation of a base station in two directions and compared results. We investigated electromagnetic radiation changes with distance and relation between electromagnetic radiation and mobile phone users. © 2016 Lviv Polytechnic National University

Mathematical modeling of the magnetic filtration processes

WOS: 000187003700005A mathematical model is proposed for the determination of non-stationary characteristics of the cleaning process of industrial liquids in magnetic filters. The theoretical investigation which provides the determination of the variation of the captured particles both with time and along the filter matrix is based on the general filtration equations. Considering the properties of the magnetic filtration process, non-stationary filtration equations involve the capturing and detachment coefficients of the particles in the filter matrix. The effect of the filter length on the magnetic filter performance is also presented. The obtained expressions make possible to compare the experimental and the expected theoretical results

The investigation of the transient regimes in the nonlinear systems by the generalized classical method

This paper presents the use of the generalized classical method (GCM) for solving linear and nonlinear differential equations. This method is based on the differential transformation (DT) technique. In the GCM, the solution of the nonlinear transient regimes in the physical processes can be written as a functional series with unknown coefficients. The series can be chosen to satisfy the initial and boundary conditions which represent the properties of the physical process. The unknown coefficients of the series are determined from the differential transformation of the nonlinear differential equation of the system. Therefore, the approximate solution of the nonlinear differential equation can be obtained as a closed-form series

Modelling of distributed parameter nonlinear systems by differential Taylor method

Modelling, solution, control and even design of many ecological and engineering systems involve dealing with nonlinear partial differential equations of which analytic solutions are rarely available and numerical approach with or without linearization, or approximation is inevitable most of the time. In this paper the possibility of analysing such systems by using a fairly new method known as Differential Taylor (DT) Transform and its advantages are proved. The results obtained by this method are compared with the experimental results and shown to be within good agreement with them. It is emphasised that DT Transform is not effective for only filtration systems, but can also be used equally well for absorption, heat and mass transfer, convective diffusion and similar systems

Evaluation of electromagnetic filtration efficiency using least squares support vector model

The present study aims to apply a least squares support vector model (LS–SVM) for predicting cleaning efficiency of an electromagnetic filtration process, also called quality factor, in order to remove corrosion particles (rust) of low concentrations from water media. For this purpose, three statistical parameters: correlation coefficient, root mean squared error and mean absolute percentage error were calculated for evaluating the performance of the LS–SVM model. It was found that the developed LS–SVM can be used to predict the effectiveness of electromagnetic filtration process