Miracle-dz/UniFAR-FTUs huggingface dataset:
Correlations among Yield, Taste, Tuber Characteristics and Mineral Contents of Potato Cultivars Grown at Different Growing Conditions

To test expected positive impact of organic cultivation on potato tubers quality and their mineral composition, selected potato cultivars were planted in conditions of two conventional and two organic farms in central and northern Poland in 2006. Lower tuber yield and elevated levels of quality traits (including tuber flavor) were characteristics of organic locations. Cultivar by location interaction significantly affected tuber flavor. The mineral composition of tubers reflects local variation in this respect, since in organically grown tubers only P and Cu reached higher, while Mn and Cd had lower tuber concentrations. The tuber concentration of these elements strongly correlated with the tuber yield (respectively negatively and positively). For other mineral elements and quality traits correlations were rare, mostly moderate and negative. Generally, potato cultivar should be adapted to the specific growing conditions to achieve improvement of quality traits. An observed cultivar effect indicates possibility of applying breeding methods for developing cultivars with desired mineral composition of tubers.
Evaluation of Football Coach Competence of Early Age in Football Schools

This study further highlights the competency of football coach of early age. The method used in this research are mixed methods. Based on the analysis of quantitative and qualitative, then the results are : 1. Context Evaluation. Analysis reveals that the variable scores of coach presence in the count of 61.66% 2. Input Evaluation. Analysis shows score of 53.03% variable of human resource of the academic coaches. 3. Process Evaluation. Analysis the description of the evaluation process, it includes: competence of development character 59.69%, motivation competence 55.00%,technical competence 53.51% and competence of games strategy 50.00% . The analysis of SEM through approach Partial Least Square (PLS) is known from the value of R-square (R), for character development competence (X1) 0.7549, competence of motivation (X2) 0.6844, technical competence (X3) 0.7805 and competency games strategy (X4) 0.7572. Shows that all indicators represent variables of coach competencies which describe the significant influence, that the competence of football coach of early age has relevance. 4. Product Evaluation. The coach competency formula is conceptually divided into three main parts, it can be said that the standard of football coach competence of early age the capacity of attitude (affective), knowledge (cognitive), and skills
Reduction of chilling injury and maintenance of fruit quality after pre-storage salicylic acid application on Iranian pomegranates

Pomegranate is one of the most popular fruit in Iran being consumed as fresh arils. However, pomegranates are highly perishable fruit due to weight losses, decay and mainly chilling injury symptoms (CI) when stored below 5°C. With the aim to reduce CI in pomegranate ( Punica granatum cv. Malas Saveh), the fruits were treated with salicylic acid (SA) at different concentrations (0.7, 1.4 or 2.0 mM), then stored at the temperature of 2°C for 3 months (to stimulate low temperature damage). SA treatments, especially at 2 mM concentration, were highly effective in reducing CI and electrolyte leakage in the husk of pomegranate, as well as the ascorbic acid loss compared with that observed in control fruit. In addition, no significant changes were observed in total soluble solids and total acidity, during storage for any treatments, with the only exception of total acidity in 1.4 mM SA-treated, which was rather high. Results found here showed that PAL activity increased during prolonged cold storage although the SA-treatment reduced those increases.
Cascade modelling for predicting solubility index of roller dried goat whole milk powder

The aim of this work was to investigate the prediction ability of Cascade artificial neural network (ANN) models for solubility index of roller dried goat whole milk powder. The input variables for ANN model were: loose bulk density, packed bulk density, wettability and dispersibility, while solubility index was the output variable. Mean square error, root mean square error, coefficient of determination and Nash - sutcliffo coefficient were used as performance measures. Modelling results indicated very good agreement between the actual and the predicted data, thus confirming that ANN could be used to predict solubility index of roller dried goat whole milk powder.
Estimating carbonate parameters from hydrographic data for the intermediate and deep waters of the Southern Hemisphere oceans

Using ocean carbon data from global datasets, we have developed several multiple linear regression (MLR) algorithms to estimate alkalinity and dissolved inorganic carbon (DIC) in the intermediate and deep waters of the Southern Hemisphere (south of 25° S) from only hydrographic data (temperature, salinity and dissolved oxygen). A Monte Carlo experiment was used to identify a potential density (σ θ ) of 27.5 as an optimal break point between the two regimes with different MLR algorithms. The algorithms provide a good estimate of DIC ( R 2 =0.98) and alkalinity ( R 2 =0.91), and excellent agreement for aragonite and calcite saturation states ( R 2 =0.99). Combining the algorithms with the CSIRO Atlas of Regional Seas (CARS), we have mapped the calcite saturation horizon (CSH) and aragonite saturation horizon (ASH) for the Southern Ocean at a spatial resolution of 0.5°. These maps are more detailed and more consistent with the oceanography than the previously gridded GLODAP data. The high-resolution ASH map reveals a dramatic circumpolar shoaling at the polar front. North of 40° S the CSH is deepest in the Atlantic (~ 4000 m) and shallower in the Pacific Ocean (~ 2750 m), while the CSH sits between 3200 and 3400 m in the Indian Ocean. The uptake of anthropogenic carbon by the ocean will alter the relationships between DIC and hydrographic data in the intermediate and deep waters over time. Thus continued sampling will be required, and the MLR algorithms will need to be adjusted in the future to account for these changes.
Autecology of Baizongia pistaciae (L.): a monographical study of a galling aphid

This paper is an overview of the information concerning the biology and ecology of Baizongia pistaciae, the most conspicuous species of gall-forming aphids on Pistacia palaestina in Israel. My intention was to gather together the scattered pieces of information that were published in different journals in different years, and present a complete picture (as of 2012) of the state of knowledge on the complex biology of this species. References to other galling aphids on the same host are made in the paper but more detailed information about them is beyond the scope of this paper. The bulk of the published data was accumulated during more than 30 years of research by myself and my students. The work of colleagues in other countries was added, as well as references to older literature. Some unpublished data, which were the basis for some of the statements in the review, are included in an appendix.
Taking the Red Pill: Science, Philosophy and Religion in The Matrix

This thought-provoking examination of The Matrix explores the technological challenges, religious symbolism, and philosophical dilemmas the film presents. Essays by renowned scientists, technologists, philosophers, scholars, social commentators, and science fiction authors provide engaging and provocative perspectives. Explored in a highly accessible fashion are issues such as the future of artificial intelligence and virtual reality. The symbolism hidden throughout The Matrix and a few glitches in the film are revealed. Discussions include "Finding God in The Matrix," "The Reality Paradox in The Matrix," and "Was Cypher Right? : Why We Stay in Our Matrix. " The fascinating issues posed by the film are handled in an intelligent but nonacademic fashion.
HARDWARE IMPLEMENTATION FOR CARDIAC ELECTRICAL EXCITATION AND CONDUCTION USING AN FPGA NUR ATIQAH BINTI ADON A thesis submitted in partial fulfillment of the requirement for the award of the Degree of Master of Electrical Engineering

Contraction of the heart is controlled by electrical excitations of cardiac cell membranes. The electrical excitations of the cells and their propagation in the heart tissue provide a basis of the physiological function of the heart through the cardiac excitation-conduction mechanism. One way to understand normal and abnormal dynamics of the heart is to simulate a comprehensive mathematical model of the cardiac excitation in order to study underlying mechanisms of the heart electrical system. However, simulating the dynamics of large numbers of a cellular model to form a tissue model requires an immense amount of computational time. In order to reduce the computational time required for the simulation, a hardware implementation of cardiac electrical excitation-conduction analysis system has been developed based on FitzHugh-Nagumo (FHN) model for a mammalian cardiac ventricular cell. In this research, one dimensional (1D) ring-shaped cable model with 80 compartments of the cell model designed using MATLAB Simulink blocks is able to be converted into synthesizable VHSIC (Very High Speed Integrated Circuit) of Hardware Description Language (VHDL) code by using an FPGA-based rapid-prototyping approach of MATLAB HDL Coder in order to simulate an action potential signal and its conduction through a hardware-implemented Field Programmable Gate Array (FPGA). Then, the VHDL design is functionally verified on an FPGA Xilinx Virtex-6 board using MATLAB HDL Verifier through FPGAin-the-Loop (FIL) simulation approach. Simulations of cardiac cellular processes and reentrant arrhythmia are successfully conducted on Xilinx Chipscope Pro. High accuracy results have been obtained from the FPGA-on-board simulation compared to a software-based computer simulation with Percentage Error (PE) of 1.28% and 1.56% in performing the simulations of reentrant initiation and annihilation, respectively. The simulations are also capable to run in real time.
World Bank Development Policies and Poverty Alleviation in Africa

This paper looks at how World Bank policies affect the outcomes of efforts at alleviating widespread poverty in Africa. It questions the repercussion of these policies on the stability of African economies by analyzing the survey of the literature. From the evidence gathered from Africa and specific countries on the continent, the paper shows that the World Bank-supported adjustment reforms exacerbate rather than reduce poverty as they deal with growth-related problems at the expense of human-centred or development associated measures; thus reinforcing the concerns that the reforms are an ineffective poverty alleviation instrument. Nevertheless, structural reforms could help push African economies forward on condition that poverty reduction and not accounting records is their point of reference. That way, human development, which is the key to unlock Africa’s potential, would take its deserved place on the continent’s agenda. Cette contribution examine l’impact des politiques de la banque mondiale sur les efforts de reduction de la pauvrete croissante en Afrique. Elle questionne les repercussions de ces politiques sur la stabilite des economies africaines en analysant la litterature existante. Des donnees collectees en Afrique et sur des pays du continent, la contribution demontre que les reformes preconisees par la Banque Mondiale accentuent au lieu de reduire la pauvrete, s’adressant plutot a questions de croissance au detriment de mesures humaines ou axees sur le developpement, et de ce fait renforcent les preoccupations d’inefficacite des reformes comme outil de reduction de la pauvrete. Neanmoin, les reformes structurelles pourraient bien propulser les economies africaines, a condition que la reduction de la pauvrete soit leur point de reference, plutot que les documents comptables. Ainsi, le developpement humain, qui est le cle du deblocage du potentiel africain, occuperait toute la place qu’elle merite au sein de l’agenda du continent
Bank Business Models and Performance During Crisis in Central and Eastern Europe

Abstract This paper investigates the impact of business models on bank performance during the period 2007-2008 among 156 banks from Central and Eastern European countries. The findings show that banks with higher capitalization perform better and present a lower probability of default. The orientation towards the traditional lending activities as well as a higher degree of income diversification boosts performance. Using a Difference-in-Difference framework we also highlight the importance of bank business strategies for bank performance across different bank characteristics (ownership, size) and macroeconomic conditions (financial crisis, EU membership status, regulatory framework.
Competing Theories of Blackmail: An Empirical Research Critique of Criminal Law Theory

Blackmail, a wonderfully curious offense, is the favorite of clever criminal law theorists. It criminalizes the threat to do something that would not be criminal if one did it. There exists a rich literature on the issue, with many prominent legal scholars offering their accounts. Each theorist has his own explanation as to why the blackmail offense exists. Most theories seek to justify the position that blackmail is a moral wrong and claim to offer an account that reflects widely shared moral intuitions. But the theories make widely varying assertions about what those shared intuitions are, while also lacking any evidence to support the assertions. This Article summarizes the results of an empirical study designed to test the competing theories of blackmail to see which best accords with prevailing sentiment. Using a variety of scenarios designed to isolate and test the various criteria different theorists have put forth as “the” key to blackmail, this study reveals which (if any) of the various theories of blackmail proposed to date truly reflects laypeople’s moral judgment. Blackmail is not only a common subject of scholarly theorizing, but also a common object of criminal prohibition. Every American jurisdiction criminalizes blackmail, although there is considerable variation in its formulation. The Article reviews the American statutes and describes the three general approaches these provisions reflect. The empirical study of lay intuitions also allows an assessment of which of these statutory approaches (if any) captures the community’s views, thereby illuminating the extent to which existing law generates results that resonate with, or deviate from, popular moral sentiment. The analyses provide an opportunity to critique the existing theories of blackmail and to suggest a refined theory that best expresses lay intuitions. The present project also reveals the substantial conflict between community views and much existing legislation, indicating recommendations for legislative reform. Finally, the Article suggests lessons that such studies and their analyses offer for criminal law and theory.
Audio noise mapping for virtual urban simulations: enhancing public awareness

One of the key difficulties with urban environmental noise mapping is disseminating results from noise studies in a manner that is easily understood by the general public. Indeed, it is one of the requirements of the Environmental Noise Directive (END) that information from noise studies is disseminated to the general public so that awareness of environmental noise issues is increased. This paper presents preliminary work undertaken to integrate results from environmental noise studies into a virtual sound environment. The model uses appropriate sound mixing techniques to integrate background sound from prediction software while direct sound is integrated from appropriate sound samples. In the virtual environment sound is output using audio rendering and clustering techniques which take account of the position of the individual in the virtual environment. The model demonstrates the possibility of using virtual urban simulations as a framework for evaluating the environmental and visual impact of major urban developments particularly in terms of the impact on the surrounding urban soundscape. In addition, the model framework may be used as a demonstration method whereby the sensitivity of the urban sound environment to different traffic management scenarios is presented to urban inhabitants.
Competition among European Robins Erithacus rubecula in the winter quarters: sex is the best predictor of priority of access to experimental food resources

Competition for resources by individuals of different sexes, ages, body sizes or geographical origins may have varied implications, from demography to the evolution of migratory systems. European robins Erithacus rubecula display segregation by habitat in relation to sex, age, body size and geographic origin in the winter quarters. Here we report on an experiment to investigate the existence of asymmetries in the priority of access to food resources among unconstrained individuals in their natural environment. Feeders with meal worms were provided in an are a with a high density of wintering robins and, after 15 days of provisioning, were replaced by a spring trap that was operated during a whole day. The first individuals to be caught in each trap were heavier and had higher fat and muscle scores than last-caught individuals. Based on this and on behavioural observations, we conclude that first-caught individuals had priority of access to feeders. First- and last caught individuals did not differ in body size, wingtip shape or age ratios. However, whilst 35% of the first-caught individuals were males, only 6%of the last-caught individuals were males. This suggests that sex is an important predictor of the outcomes of competition in an area where multiple robin populations coexist in winter, while, at least on sites where no strictly sedentary individuals are present, geographic origin may be relatively unimportant.
METHOD OF DOMAIN MODELS DESIGNING

Method of domain models designing is proposed in this paper. Domain models are represented as class diagrams. Initial information for domain models designing contains both analytical representation of domain data streams and domain entities. Domain data streams are defined using collaboration diagram. Analytical representation of domain data streams as a subset of Cartesian product of the following sets: objects and messages are proposed. Also an approach of decomposition collaboration diagram into fragments for defining data streams is represented. Rules of defining relations between classes of domain model by means of analysis both analytical and graphical representation of domain data streams are formulated. Both description of domain entities and interconnections between them are represented in terms of algebra describing software static models. Proposed method involves an iterative approach for domain model designing. Firstly it is necessary to obtain information about class diagram constituents. Then information about methods of classes is complimented using analytical representation of domain data streams. Using both analytical representation of domain data streams and analytical description of entities relations between class diagram constituents are defined and clarified. An example of designing domain model for domain "designing cutting schemas for leather goods details" is represented. Also information about interconnections of domain entities and domain processes is represented.
Addressing Data Model Variability and Data Integration within Software Product Lines

Software Product Line (SPL) engineering is one approach for addressing customization and variability for software products. However, current state-of-theart often focuses on feature modeling and component variability while insufficiently addressing data model variability difficulties and their associated complexity. Various software qualities, such as correctness, reusability, maintainability, testability, and evolvability, are negatively impacted. In this article the Approach for Data Model Variability (ADMV) is described which provides a unified and systematic methodology for providing a consistent view to capture data variability in data models. Adapter generation hides and decouples components from superfluous data elements and supports SPL data integration with the potentially multifarious external systems and devices that a SPL may need to consider. An eHealth SPL case study is presented supporting adapter generation with differential data conversion and data integration with medical devices. The results show that with this approach, data model variability and data integration can be effectively addressed and desirable software qualities preserved.
Accuracy test in identifying the splice site type of DNA sequences by using probabilistic neural networks and support vector machines

It has been known that Probabilistic Neural Networks as machine learning is very fast in it’s computation time and give a better accuracy comparing to another type of neural networks, on solving a real-world application problem. In the recent years, Support Vector Machines has become a popular model over other machine learning. It can be analyzed theoretically and can achieve a good performance at same time. This paper will describe the use of those machines learning to solve pattern recognition problems with a preliminary case study in detecting the type of splice site on the DNA sequences, particularity on the accuracy level. The results obtained show that Support Vector Machines have a good accuracy level about 95 % comparing to Probabilistic Neural Networks with 92 % approximately.
Blind Source Separation for Complex-Valued Signals Using Generalized Autocorrelation

We introduce a new complex-valued blind source separation approach, based on generalized autocorrelations of sources, to improve the spectrum efficiency for the next-generation wireless communications system. The proposed algorithm considers the temporal structures of communication signals and the natural gradient-based method is used to optimize the demixing matrix. In addition, the local stability condition is proved. Simulation results are presented showing the superior performance of the proposed algorithm in the intersymbol interference of the estimated signals.
Two-fold increase in White Stork (Ciconia ciconia) population in Lithuania: a consequence of changing agriculture?

A countrywide White Stork (Ciconia ciconia) nest census was carried out in Lithuania in 2009 and 2010 by over 20 observers using standardised equipment and methods. The census revealed that the White Stork population has doubled since the previous census in 1994, possibly due to favourable changes in farming practices, with birds increasingly settling on the overhead electricity line poles and gradually abandoning nests in trees. In total, 21,192 White Stork nests were recorded, of which 18,782 (81.4%) were occupied by breeding birds, compared to 9400 occupied nests recorded in 1994. The mean density of occupied nests in the country was 29 nests/100 km2. Electricity line poles were the most common nest sites (49% of all nests), followed by trees (21%) and specially erected poles with nesting platforms (11%). Mean breeding success of White Storks was rather high, with 2.7 young raised per successful pair, suggesting a favourable conservation status for this species in Lithuania.