Miracle-dz/UniFAR-FTUs huggingface dataset:
Conservation of genetic diversity in populations of stellate sturgeon (Acipenser stellatus) of the NW Black Sea and Lower Danube River

The stellate sturgeons as well as the other sturgeon populations inhabiting the Lower Danube River system (LDR) and the NW part of the Black Sea have experienced a severe decline due to heavy fishery, river regulation and water pollution. Traditionally, sturgeons have represented a great economic value for the countries along the Danube, being fished mainly for their eggs, the black caviar. The human population along the Danube River took advantage of the anadromous behaviour of these fishes and over decades of overfishing they depleted the stocks. In 2006 the Romanian government banned the commercial fishing of sturgeons for a period of 10 years and started a Supportive Stocking Programme of Danube with farmed juveniles originating from wild parents. The present study focuses on whether there are genetically isolated subpopulations among the adult cohorts of stellate sturgeons migrating into the LDR in the year 2010, and whether the genetic characteristics of YOY samples in the same year supports the existence of such subpopulations. Samples from fall and spring migrants and from YOY stellate sturgeons naturally born in the river in 2010 were genetically analyzed for mtDNA cyt b and D-loop regions as well as a panel of nuclear microsatellites, and revealed considerable individual variability. Hardy-Weinberg conformity tests revealed heterozygote deficit at 3 out of 4 microsatellite loci. Based on the genic differentiation at the microsatellite loci and mtDNA and cluster analyses, a genetically distinct group were demonstrated among the 2010 YOY samples, pointing to the existence of a previously unknown population substructure within the stellate sturgeons of The Lower Danube River. This was supported by biological characteristics of the YOY samples.
Research on Teaching Satisfaction of Graduate Students' Excellent Course

The satisfaction degree of course is the key to measure the success of curricular construction. To improve the quality of postgraduate excellent courses construction in our school, a questionnaire survey against the 6th graduate who took "Linear System Theory And Design," as an elective course. Data was collected via questionnaire investigation, analyzed and verified by based on software package SPSS19.0, the structural equation model and exploratory factor were applied to research the impact factors of the satisfaction of excellent course. We studied the relationship between the degree of participation and satisfaction, with the graduate student participation serving as a latent variable, and got the result of quantitative analysis. On this basis, corresponding countermeasures and suggestions are put forward to improve the quality of excellent course and postgraduates' study as well as the work of administrative department. and implement the teaching reform ideas: based on metallurgy, practice-oriented, school-enterprise cooperation, forester students with the broad basic theory and systematic professional knowledge to undertake technical work independently and adapt to the developing advanced engineering technology, our school has formed postgraduate courses with metallurgy-centered and practice-oriented, comprehensive culture of senior technical personnel, teaching at different levels throughout the curriculum, at the same time, we assign modular teaching as the main line, highlight teacher- student interaction and culture is characterized by comprehensive capacity. Students' evaluation is the most important for the quality of the construction of quality courses, and students' satisfaction with the quality of teaching largely reflects the quality and effectiveness of program construction. To study teaching satisfaction and explore teaching satisfaction factors, we can start the perspective from the students themselves, which can truly reflect the quality of teaching, and thus reflects the quality of the course construction.
Human Behavior Paradox and a Social Science Interpretation of Quantum Mechanics

Are financial markets predictable? How to predict the financial markets? These important questions are not answerable in the existing framework of either finance or economics. This paper shows in details that these questions are also not answerable in the existing framework of modern physics. In order to answer these important questions, this papers shows that one must develop a new interpretation of quantum mechanics which makes social science to be a branch of quantum physics like optics and chemistry. By critically examining the question how to predict the human behavior using Newtonian physics, special relativity, general relativity, thermodynamics, and QM with the Copenhagen interpretation, this paper reaches a stunning conclusion that the existing laws in all branches of physics can neither explain nor forecast the human behavior. This is the intolerable human behavior paradox facing physicists today: on one hand, the modern physics can explain and forecast the behavior of physical systems ranging from the tiniest elementary particles to the largest structures of the visible universe with amazing accuracy; on the other hand, ironically the existing physics cannot explain nor forecast the human behavior in our everyday life. The most important contribution of this paper is to prove that it is much easier to solve the measurement problem in QM, the human paradox, and many unanswerable questions in social science together than to solve them individually. This paper proposes a new interpretation, called JJW interpretation of QM, to replace the flawed Copenhagen interpretation and solve the measurement problem, human paradox, and many unanswerable questions in social science. The central points of JJW interpretation of QM is condensed into five new fundamental laws of physics, which are called physics laws of social science (PLSS). PLSS turns out to be a very powerful tool for social science because it reformulates every single problem in economics, politics, and other branches of social science into a physics problem. PLSS solves many outstanding fundamental questions in social science: how humanity should govern itself, whether the future can be forecasted, and how to predict the future. In economics, a fundamental equation of economics can be derived from PLSS. The fundamental equation of economics invalidates many popular economic theories and models, and concludes that the existing economics is not really a science without an extensive house cleaning. In political science, PLSS leads a conclusion that US constitution has many fundamental design flaws, and the permanent world peace is theoretically and practically feasible. Based on the extensive empirical evidence of human behavior supporting PLSS and the profound logical consequence of PLSS, this paper concludes that JJW interpretation is probably the correct interpretation of QM. This paper also shows that JJW interpretation of quantum mechanics is experimentally testable.
Parametric Amplifiers in Optical Communication Systems: From Fundamentals to Applications

Optical parametric amplifiers (PAs) utilize highly efficient nonlinear effects in an optical fiber and they have the ability to operate in phase-sensitive mode. The inclusion of PAs in optical systems can give an ultimate limit for lumped amplified links in terms of achiev- able signal to noise ratio. The drawback is the complexity stemming from the requirement of phase matching a number of waves at each amplifier, phase lock, and the extra spec- trum consumed by idler waves. In this chapter, the theories of a parametric amplifier, including the quantum-optical equations, are given. The properties of the gain saturation and the noise figure are presented. Practical amplifier systems and their applications in phase-sensitive amplification, all-optical signal regeneration, and squeeze state generation are outlined. zero (CSRZ) modulation. Experiments are performed with driving frequencies 20 and 40 GHz. The sideband separation is twice the driving frequency of the modulator, while power at the carrier frequency is typically 23 dB below that of either sideband. A FBG is used to further suppress light at the carrier frequency in the pump path to (cid:1) 38 dB and to minimize interference in the DPSK signal when the waves are mixed.
BUSINESS PROCESS MANAGEMENT IN GENETIC APPROACH CONTEXT

Need of business process management becomes a necessary condition for improving company ́s effectiveness. Nowadays, business processes are more complex and contain growing amount of parameters and variables. As a result, business process optimization is getting hardly solvable. Therefore, new approaches are being sought to prove the goal in short time and at low costs. The work shows the possibility of the utilization of business process management, mainly business process planning, with usage of genetic algorithm and genetic programming. The conclusions based on described solutions are then considered due to newly established needs in modern companies.
MULTI-REGIME SHAPE OPTIMIZATION OF HYDROTURBINE FLOW PASSAGE

In [1, 2], the authors presented the method of automatic design of Francis runner blade, based on a solution of sequence of 3D inviscid fluid flow problems in series of runner modifications and searching the runner shape that satisfies design requirements at highest possible level. The performance criteria were formulated as objective functionals and restrictions of an optimization problem. The optimization process was guided by a genetic algorithm (GA) [3]. For the flow analysis in the runner the computer code CADRUN [4] was used. The use of simplified models in optimization task allows to speed up search of optimal solution and this is a common practice nowadays. The specialist know-how obtained during conventional design practice renders invaluable assistance in construction of such simplified models and objective functionals that adequate describe the object under investigation. From the experience of engineers it is known that the most impact on energy characteristics of the runner is done by the following hydraulic losses: shock losses at the inlet of blading, friction losses, losses caused by secondary and cross flows and circulatory losses at the runner outlet. Original objective functionals, indirectly accounting the mentioned kinds of losses were formulated in [2, 4]. In [4], the genetic algorithm was extended to the task of multiobjective optimization allowing several criteria of turbine quality to be simultaneously improved at a priori predicted best efficiency operation point. When solving multiobjective optimization problem the solution is not unique and represented by a great number of optimal shapes that form Pareto set. Each solution of the Pareto set is better than the others at least by one objective functional. In case of multiobjective optimization with 23 free parameters of runner shape it was required to calculate about 4000-6000 various modifications of the flow passage geometry to find the Pareto set [4]. Total time of the optimization was about 150 hours. Hydro turbines normally operate at different operation point characterized by discharge Q and runner frequency n. The main regime of interest is the best efficiency point (BEP). However it is important to account flow conditions at off-design regimes that are characterized by their inherent peculiarities. To account these requirements at present work it is considered the multi-regime optimization task. Using of 3D flow modeling to calculate the objectives in the process of optimization results in huge amount of computations. The common practice today is the use of parallel super computers. This work presents one possible variant of using parallel computers in problem of automatic shape optimization of hydro turbine components. The developed algorithm was applied to multi-regime optimization of runner shape of the Sangtudinsk hydro-power-station.
Analytic Analysis for Dynamic System Frequency in Power Systems Under Uncertain Variability

In this paper, a new systematic method is proposed to analyze the system frequency in power systems under uncertain variability (UV). UV gradually increases in power systems, which originates from the renewable energy generation, random loads, frequency measurement, and communication channels, exerting noteworthy impacts on dynamic system frequency. The UV is modeled as a stochastic process in this paper. Then, the stochastic differential equations are used to describe the dynamic system frequency response (SFR) of a power system under UV, which is based on the SFR model. To assess system frequency dynamics under UV, an index of intra-range probability is put forward. Based on stochastic analysis theory, an analytic method is proposed to analyze the system frequency under UV, by which the intra-range probability can be analytically solved. Compared with Monte Carlo simulation in a typical SFR case and the Iceland electricity transmission network, the proposed method shows almost the same results using much less computation resource. Finally, insights for improving the SFR under UV are provided. The proposed method can be used to quickly verify whether the system frequency could withstand the UV and stay in the security range.
Key Frame Extraction Towards Kernel-SIFT Identification

Key frame detection is a fundamental technique in video retrieving and video summarizing. In this paper, an effective and efficient content-based key-frame detection method is proposed. This method is based on content analysis and features detection from key frames. There are two main contributions in the proposed method. Firstly, shot cuts dividing scheme is studied here to exclude transition frames (such as fade in and fade out frames), which may disturb key-frame detection. On the other hand, key frames are selected according to each frame’s status in the whole shots, which is determined by kernel-SIFT matching rate. Experimental results show that the proposed method can extract the most effective key frames, which have represented the whole shots very well and contained significant features than other histogram-based methods. Index Terms key frame, SIFT, shot cut detection
GREEN SYNTHESIS NANOPARTIKEL Ag DENGAN MENGGUNAKAN EKSTRAK GAMBIR SEBAGAI BIOREDUKTOR

Pada akhir-akhir ini, beberapa metode untuk sintesis nanopartikel perak (Ag-NP) telah menjadi topik penelitian yang menarik. Penggunaan ekstrak tanaman melalui proses green sintesis dalam pembuatan nanopartikel merupakan salah satu pendekatan yang sangat efektif dan ramah lingkungan serta hemat biayanya. Dalam penelitian ini dilaporkan biosintesis nanopartikel perak menggunakan ekstrak Uncaria Gambir Roxb . Karakterisasi nanopartikel dilakukan dengan menggunakan spektroskopi ultraviolet-siar tampak (UV-Vis), difraksi sinar-X (XRD), pemindaian mikroskop elektron (SEM). Spektrum UV-Vis dari media air yang mengandung nanopartikel perak menunjukkan puncak serapan di sekitar 398 nm. Hasil XRD menunjukkan bahwa adanya kristal perak (Ag) dengan struktur kubik (fcc). Studi SEM menunjukkan bahwa rata-rata diameter nanopartikel perak perak yang terbentuk adalah kecil dari 100 nm. Hasil riset ini sangat prospek untuk pengembangan nilai dari produk Uncaria Gambir Roxb pada industri yang berbasis biomedis dan nanoteknologi. Katakunci : nanopartikel , perak, green sintesis, gambir
Effect of IRC Code 1031 on Texas Agricultural Land Price

In this paper, we examine the effect of Section 1031 tax deferred payment on Texas agricultural land price. To analyze the effects, we estimate the market equilibrium price function using the dynamic panel model and Texas agricultural land sales for 1965-2007. We argue that Section 1031 increases both demand and supply of agricultural land by its tax reducing effect. Our empirical estimation shows that Section 1031 decreases the market price which means the supply curve shifted to the right more than the demand curve.
bodočih učiteljev razrednega pouka o njihovem znanju biologije in njihovo dejansko znanje biologije

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How regulation affects the relevance of bank-debt maturity as a control mechanism in developed countries

Improvements in transparency at the country level have modified the relevance of bank debt maturity as a control mechanism. The novelty of this research is that we provide empirical evidence that the maturity of bank borrowing is contingent on the characteristics of the regulatory and the institutional setting about corporate governance. The main implication of our paper is that corporate governance rules have greater influence in civil-law countries than in common-law countries in promoting efficiency in the use of bank debt maturity. The value of this paper is that our results confirm that the implementation of similar regulations on transparency across countries with different legal systems favors the alignment of the role played by short-term bank debt in addressing asymmetric information, agency costs, and inefficient liquidation.
Refining Classes in Statically Typed Object-Oriented Languages

Classes and specialisation bring simultaneously structuration and flexibility to object oriented programs. However, numerous model extension propositions (aspects, modules, etc.) prove these qualities are often considered insufficient. This article proposes two binded notions of class refinement and modules, the first one brings flexibility and the second one, the structuration. Modules contain a coherent set of class definitions and can modify classes defined in modules they depend. This proposition focuses on statically typed languages where modules can be separately compiled. It is based on a module metamodel similar to the class one and problems with multiple specialisation and refinement are managed like those in multiple inheritance.
P o S ( D I S 2 0 1 3 ) 0 1 2 Summary of the Structure Functions Working Group

Presentations on nucleon structure studies in the Structure Functions working group are summarized. Most recent experimental results related to structure functions and parton distributions from HERA, LHC, and intermediate energy experiments are reviewed. Novel developments in theory and phenomenology of the proton structure determination are discussed, including treatment of heavy quarks in QCD analyses and impact on electroweak precision measurements at hadron colliders.
Recursive Right-Tailed Unit Root Tests for an Explosive Asset Price Bubble

In this article, we compare the local asymptotic and finite sample power of two recently proposed recursive right-tailed Dickey–Fuller-type tests for an explosive rational bubble in asset prices. It is shown that the power of the two tests can differ substantially depending on the location of the explosive regime, and whether such a regime ends in collapse. Since this information is typically unknown to the practitioner, we propose a union of rejections strategy that combines inference from the two individual tests. We find that, for a given specification of the explosive regime, the union of rejections strategy always attains power close to the better of the individual tests considered. An empirical illustration using the Nasdaq composite price index is also provided.
Isosurface Extraction in the Visualization Toolkit Using the Extrema Skeleton Algorithm

Generating isosurfaces is a very useful technique in data visualization for understanding the distribution of scalar data. Often, when the size of the data set is really large, as in the case with data produced by medical imaging applications, engineering simulations or geographic information systems applications, the use of traditional methods like marching cubes makes repeated generation of isosurfaces a very time consuming task. This thesis investigated the use of the Extrema Skeleton algorithm to speed up repeated isosurface generation in the visualization package, Visualization Toolkit (VTK). The objective was to reduce the number of non-isosurface cells visited to generate isosurfaces, and to compare the Extrema Skeleton method with the Marching Cubes method by monitoring parameters like time taken for the isosurfacing process and number of cells visited. The results of this investigation showed that the Extrema Skeleton method was faster for most of the datasets tested. For simple datasets with less than 10% isosurface cells and complex datasets with less than 5% isosurface cells, the Extrema Skeleton method was found to be significantly faster than the Marching Cubes method. The time gained by the Extrema Skeleton method for datasets with greater than 15% isosurface cells was found to be insignificant. Based on the results of this study, implementing the Extrema Skeleton method for the VTK software is a change worth making because typical VTK users deal with datasets for which the Extrema Skeleton method is significantly faster and also with datasets for which it is marginally faster than the Marching Cubes method.
SUSTAINABILITY AS A PART OF BALANCED SCORECARD

Sustainability is a trend, which is more seriously discussed on the international and national level. But also companies in the local level are pushed to have strategies and visions, which enable better future for society, our planet and local economy. Sustainability is one of the conditions - it allows companies to implicate social, economic and environmental pillars to the company's strategy and management. The question, which remains today is, how to measure social, economic and environmental impact on society? And more - how to enable future generations to have the same conditions as we have today? The paper provides format for a possible bridge between current strategic Balanced Scorecard system and future trend of sustainability. One of the special tools, which can be used for measuring sustainability, is Balanced Scorecard (by Kaplan and Norton in 1990s) with the complement of sustainable metrics. The paper introduces three possible methods, which can be used by implementing sustainability into the Balanced Scorecard. One of these methods is described in detail. There is a focus on the sustainable indicators included as the fifth area in Balanced Scorecard model.
Microcalorimetric Study of Extruded Dog Food Containing Probiotic Micro-Organisms

Extruded dry dog food products claimed to have a probiotic ingredient of Enterococcus faecium (NCIMB10415) in the commercial available formulations under the brand name of ProBiotic LIVE (Bacterfield S.A., Luxembourg) were studied in the present work using a multichannel thermal activity monitor TAM III. Maximum specific growth rate, heat produced during different growth phases, and lag-phase duration were determined. The length of the lag-phase that can be used to determine the time necessary for the probiotic ingredient to restore its activity after consumption of probiotic containing extruded products was also measured. The calorimetric data confirmed the ability of the Enterococcus faecium to grow at the acidic pH conditions, modeling conditions of gastro-intestinal tract of dogs, and preserve its metabolic activity (viability) at the same level as at the neutral pH. The results obtained indicated that microcalorimetry was a precise and convenient tool for monitoring probiotic activity in complicated solid-state matrices.