THE ROLE AND STRATEGIC IMPORTANCE OF BALKAN COUNTRIES IN CASPIAN BASIN`S ENERGY DIPLOMACY

Being one of the important dynamics of countries' socio-economic development "energy" plays an important role for the countries with scarce natural resources which imports them from abroad. It is obvious that the more output in GDP meansthe more energy consumption. In fact, having higher income per-capita leads tohigher energy consumption per-capita in world economy.It is equally important for the countries besides their internal consumption also todeliver the rest of their resources to the global market. "Strategic Transportation Pipes" gives extra importance in terms of security and economic sustainability forthe relative partners of this market. A small instability on these transport lines willcause depression effect for the economies and at same time will lead other kind ofsocio-economic problems such as recession, unemployment and scarcity.In this regard, Europe Union very considered for the bilaterial cooperation withBalkan countries, because of their geografic position as a gateway to the main energy basis in south-east countries. Having secured relations with these countries means sustainble energy flow to EU countries.The importance of Balkan countries in regard of strategic and geographical positioning to pass through the Caspian Energy resouces to EU has been investigated in this study. An important issue has been stressed in this article arethe energy resource and transportation security issues in energy politics and the stability of energy prices and the transportation of energy to markets in a requested quantity are also in the centre of attention

Investigation of electrical properties for cantilever-based piezoelectric energy harvester

In the present era, the renewable sources of energy, e.g., piezoelectric materials are in great demand. They play a vital role in the field of micro-electromechanical systems, e.g., sensors and actuators. The cantilever-based piezoelectric energy harvesters are very popular because of their high performance and utilization. In this research-work, an energy harvester model based on a cantilever beam with bimorph PZT-5A, having a substrate layer of structural steel, was presented. The proposed energy scavenging system, designed in COMSOL Multiphysics, was applied to analyze the electrical output as a function of excitation frequencies, load resistances and accelerations. Analytical modeling was employed to measure the output voltage and power under pre-defined conditions of acceleration and load resistance. Experimentation was also performed to determine the relationship between independent and output parameters. Energy harvester is capable of producing the maximum power of 1.16 mW at a resonant frequency of 71 Hz under 1g acceleration, having load resistance of 12 k Omega. It was observed that acceleration and output power are directly proportional to each other. Moreover, the investigation conveys that the experimental results are in good agreement with the numerical results. The maximum error obtained between the experimental and numerical investigation was found to equal 4.3%

What Explains the Current High Rate of Inflation in Pakistan?

One of the most significant developments in the current economic scene in Pakistan has been the sharp increase in the rate of inflation. The annual average rate of increase in the wholesale price index (WPI) during the first seven months (July-January 1994-95) of the current fiscal year has been about 19 percent as opposed to 11.3 percent during the same period last year. A similar increase was also witnessed in the consumer price index (CPI) which accelerated to 13 percent as opposed to 11.1 percent during the previous period. Such a sharp increase in prices in recent months has not only caused alarm in the academic circles but has equally disturbed the country’s chief executive, the Prime Minister. The recent surge of inflation is a matter of serious concern for a variety of reasons. First, Pakistan has been a low-inflation country as it has experienced price stability during the last three decades. The rate of inflation, as measured by an increase in the WPI, averaged 2.6 percent during the 1960s. The components of the WPI, i.e., food, raw materials, manufactures, and fuel and lubricants, also grew by an average rate ranging from 2.0 to 3.4 percent p.a. during then 1960s (see Table 1 for relevant statistics). The rate of inflation crossed the single-digit threshold during the 1970s. The WPI and its components increased at an annual average rate ranging from 12 to 18 percent. The double-digit inflation during the 1970s has been the result of two major oil shocks, a massive devaluation of currency, and devastating floods destroying agricultural crops. Pakistan returned to the fold of the single-digit inflation during the 1980s. The rate of inflation remained at the single-digit level during the first three years of the 1990s with the exception of 1990-91, when the rate of inflation increased to 11.7 percent as a result of the Gulf War. It is only during the outgoing fiscal year and in the current year that the rising inflation is posing a major threat to macroeconomic stability.

Evaluation of Interpolation Effects on Upsampling and Accuracy of Cost Functions-Based Optimized Automatic Image Registration

Interpolation has become a default operation in image processing and medical imaging and is one of the important factors in the success of an intensity-based registration method. Interpolation is needed if the fractional unit of motion is not matched and located on the high resolution (HR) grid. The purpose of this work is to present a systematic evaluation of eight standard interpolation techniques (trilinear, nearest neighbor, cubic Lagrangian, quintic Lagrangian, hepatic Lagrangian, windowed Sinc, B-spline 3rd order, and B-spline 4th order) and to compare the effect of cost functions (least squares (LS), normalized mutual information (NMI), normalized cross correlation (NCC), and correlation ratio (CR)) for optimized automatic image registration (OAIR) on 3D spoiled gradient recalled (SPGR) magnetic resonance images (MRI) of the brain acquired using a 3T GE MR scanner. Subsampling was performed in the axial, sagittal, and coronal directions to emulate three low resolution datasets. Afterwards, the low resolution datasets were upsampled using different interpolation methods, and they were then compared to the high resolution data. The mean squared error, peak signal to noise, joint entropy, and cost functions were computed for quantitative assessment of the method. Magnetic resonance image scans and joint histogram were used for qualitative assessment of the method

Efficacy of essential oils as antiseptics on the productive characteristics of the mulberry silkworm Bombyx mori L.

The study aimed to test the efficacy of three essential oils (basil Ocimum basilicum L., lemon Citrus limon (L.) Osbeck, and thyme Thymus vulgaris L.) as disinfectants, including their positive and negative effects, on the biological and productive parameters of the silkworm Bombyx mori. Biological parameters: basil oil treatment at 2000 ppm the highest significant 5th instar larval weight and pupal weight were 2.226 g and 0.787 g. In addition, at the same concentration, recorded the lowest significant mortality percentage and 5th instar larval duration, were 0.787 g and 5.09% respectively. On the other hand, lemon and thyme oils at 4000 ppm come in the second place the same parameters, compared to the control and the chemical disinfectant. While it is equal to the concentration of 8000 ppm for the oils tested in all biological parameters with the control and chemical disinfectant. Economical parameters: basil oil at 2000 ppm and lemon and thyme oils at 4000 ppm had the highest significance for cocoon weights, cocoon shell weight, and silk productivity, which were 1.203 g, 0.220 g, 2.34 cg for basil oil, 1.139 g, 0.210 g, 2.367 cg for lemon oil and 1.265 g, 0.216 g, 2.397 cg for thyme oil, compared with control and disinfectant chemical groups (0.993 g, 0.157 g, 1.49 cg and 0.991 g, 0.160 g, 1.68 cg, respectively). The highest significant difference of cocoon percentages was seen with basil oil at 2000 ppm, compared to the other treatments. DOI: http://dx.doi.org/10.5281/zenodo.590659

Detecting multiple, simultaneous talkers through localising speech recorded by ad-hoc microphone arrays

This paper proposes a novel approach to detecting multiple, simultaneous talkers in multi-party meetings using localisation of active speech sources recorded with an ad-hoc microphone array. Cues indicating the relative distance between sources and microphones are derived from speech signals and room impulse responses recorded by each of the microphones distributed at unknown locations within a room. Multiple active sources are localised by analysing a surface formed from these cues and derived at different locations within the room. The number of localised active sources per each frame or utterance is then counted to estimate when multiple sources are active. The proposed approach does not require prior information about the number and locations of sources or microphones. Synchronisation between microphones is also not required. A meeting scenario with competing speakers is simulated and results show that simultaneously active sources can be detected with an average accuracy of 75% and the number of active sources counted accurately 65% of the time

Palm Oil and Rice Bran Oil: Current Status and Future Prospects

The continued demand for edible oils by the ever increasing population makes it pertinent to explore new sources. In this direction, two new edible oils namely palm oil and rice bran oil have been subjected to nutritional and toxicological evaluations of their chemicals constituents. An attempt has been made in this article to assess the acceptability of the two oils based on the various investigations that have been carried out so far

A Gaussian Mixture PHD Filter for Jump Markov System Models

The probability hypothesis density (PHD) filter is an attractive approach to tracking an unknown and time-varying number of targets in the presence of data association uncertainty, clutter, noise, and detection uncertainty. The PHD filter admits a closed-form solution for a linear Gaussian multi-target model. However, this model is not general enough to accommodate maneuvering targets that switch between several models. In this paper, we generalize the notion of linear jump Markov systems to the multiple target case to accommodate births, deaths, and switching dynamics. We then derive a closed-form solution to the PHD recursion for the proposed linear Gaussian jump Markov multi-target model. Based on this an efficient method for tracking multiple maneuvering targets that switch between a set of linear Gaussian models is developed. An analytic implementation of the PHD filter using statistical linear regression technique is also proposed for targets that switch between a set of nonlinear models. We demonstrate through simulations that the proposed PHD filters are effective in tracking multiple maneuvering targets

A roadmap for offering MOOC from an LMIC institution

MOOCs are massive open online courses that are globally accessible, free of charge. Given their cost-free and open accessibility, it is surprising that only a few institutions have offered MOOCs from low- and middle-income countries (LMICs). Pakistan recently made this short list of LMICs as the first two MOOCs were launched from the country, in 2014 and 2016. Drawing from that experience, the organizers of that course present a roadmap for LMIC institutions for developing a MOOC, focusing especially on the technological and pedagogical limitations that an LMIC institution might find deterring

A Phylogenetic analysis of Heparanase (HPSE) gene

The Current Study aimed to investigate the possible role of Heparanase protein (HPSE-1, [Entrez Pubmed ref|NP_001092010.1|, heparanase isoform 1 preproprotein [Homo sapiens]) in evolution by studying the phylogenetic relationship and divergence of HPSE-1 gene using computational methods. The Human HPSE protein sequences from various species were retrieved from GenBank database and were compared using sequence alignment. Multiple sequence alignment was done using Clustal-W with defaults and phylogenetic trees for the gene were built using neighbor-joining method as in BLAST 2.2.26+ version. A total of 112 BLAST hits were found for the heparanase query sequence and these hits showed putative conserved domain, Glyco_hydro_79n superfamily. We then narrowed down the search by manually deleting the proteins which were not HPSE-1. These sequences were then subjected to phylogenetic analyses using the PhyML and TreeDyn software. Our study indicated that HPSE-1 is a conserved protein in classes Mammalia, Aves, Amphibia, Actinopterygii and Insecta emphasizing its importance in the physiology of cell membranes. Occurrence of this gene in evolution with conserved sites strengthens the role of HPSE-1 gene and helps in better understanding the biochemical processes that may lead to cancer