Miracle-dz/UniFAR-FTUs huggingface dataset:
Type-2 fuzzy set representation of stochastic adding A/D conversion

Stochastic adding A/D conversion (SAADK) represents a method of measurement (or classification) which naturally can replace process of fuzzyfication of input quantities. In classical measurement in the whole measurement range absolute error is, more or less, the same, but in the case of control it is known that all measurement subintervals are not equally significant. Type-2 fuzzy set representation is able to model uncertainties of the stochastic error measurements using SAADK. The primary aim of the paper is to introduce this representation method.
FAST ORBIT FEEDBACK CALCULATION IMPLEMENTATION FOR TPS

Fast orbit feedback (FOFB) application is planned for the Taiwan Photon Source (TPS) at storage ring commissioning. Part of the application is transferred to the beam position electronics which implements global orbit position data concentration, its processing and actuating the magnet power supply controllers via optical links. The beam position electronics (Libera Brilliance+) includes gigabit data exchange (GDX) modules with Virtex6 field programmable gate array. The feedback calculation algorithm is based on the SVD – the PI controller will be applied in the modal space for individual eigenmodes. The calculation will be distributed to all GDX modules to reduce overall latency. Each GDX module will calculate either 4 vertical or 4 horizontal magnet corrections. This article presents details about the FOFB topology and implementation in the GDX module. SYSTEM OVERVIEW The TPS storage ring will use a 24-cell DBA lattice and will have 24 straight sections for insertion devices, six of them 12 m-long and 18 of them 7 m-long. It will be a combined-function magnets lattice structure with 10 nm rad emittance and will be located in the inner tunnel of the TPS storage ring [1]. The Libera Brilliance+ instrument is a beam position processor instrument used in the TPS. It provides wide and narrow bandwidth data paths with excellent measurement and stability capabilities [2]. The fast orbit feedback capability (FOFB) is provided by an extension module – the Gigabit Data Exchange (GDX) module. The GDX module is tightly connected with its neighbour BPM and TIM modules and receives fast position data streams over Low-voltage Differential Signalling (LVDS) links to ensure low latency [3].
Spinoffs and Firm Policy

I investigate the nature of reconstructing by examining the changes in firm policies around spinoff. Because the pre-spinoff contract structure is more suitable for larger divisions of firms, separated units experience relatively large changes in contracts following spinoffs. Compared to the post-spinoff parent firms, separated units have lower tendency to pay dividends, lower ownership by CEOs, higher fraction of outside directors, smaller board, younger board members, higher block ownerships, and higher incentive payment. There are significant changes in the firm policies in both high q and low q units, however the market response is more positive for units with higher growth opportunities.
Nonisothermal melt crystallization and subsequent melting behavior of biodegradable poly(hydroxybutyrate)/multiwalled carbon nanotubes nanocomposites

In this work, nonisothermal melt crystallization and subsequent melting behavior of poly(hydroxybutyrate) (PHB) and its nanocomposites at different multiwalled carbon nanotubes (MWCNTs) loadings were investigated. Increasing the MWCNTs loadings has enhanced the nonisothermal melt crystallization of PHB significantly in the nanocomposites when compared with that of the neat PHB; furthermore, increasing the cooling rates shift the crystallization exotherms to low temperature range for both neat PHB and its nanocomposites. Double melting behavior is found for both neat PHB and its nanocomposites crystallized nonisothermally from the melt, which is explained by the melting, recrystallization, and remelting model. Effects of the MWCNTs loadings, cooling rates, and heating rates on the subsequent melting behavior of PHB were studied in detail. It is found that increasing the MWCNTs loadings, decreasing the cooling rates, and increasing the heating rates would restrict the occurrence of the recrystallization of PHB in the nanocomposites. © 2009 Wiley Periodicals, Inc. J Polym Sci Part B: Polym Phys 47: 2238–2246, 2009
THE KRONECKER PRODUCT FOR SOLVING SYSTEM OF FUZZY SYLVESTER EQUATIONS

In this paper, we present a method for finding solution of system of fuzzy Sylvester equations (SFSE), AX + XB = C, where A and B are two m × m crisp matrices, C is an m × m fuzzy matrix and X is an m × m unknown matrix. Finally, the method is illustrated by solving some numerical examples.
Arbeitsmarktpolitische Maßnahmen Und Ihre Evaluierung: Eine Bestandsaufnahme

In der Bundesrepublik Deutschland wird die Durchfuhrung arbeitsmarktpolitischer Masnahmen mit erheblichem personellen wie finanziellen Aufwand betrieben. Dennoch ist ein Erfolg dieser Masnahmen keineswegs gesichert, und Ausmas bzw. Existenz des tatsachlichen Effektes verbleiben in hohem Mase fraglich. Dies begrundet sich auch darin, dass es die bisherige Evaluierungspraxis fast vollstandig versaumt hat, eine Vergleichssituation zu konstruieren, die hinreichend genau beschreibt, welcher Zustand sich ohne den zu evaluierenden Eingriff eingestellt hatte. Damit wird eine der Minimalanforderungen an eine zielgerichtete wissenschaftliche Evaluierung verletzt. Vor dem Hintergrund eines internationalen Vergleichs der Evaluierungspraxis diskutiert der vorliegende Beitrag die methodischen Probleme bei der Evaluierung arbeitsmarktpolitischer Masnahmen, wobei unterschiedliche empirische Strategien zur Losung dieser Probleme vorgestellt werden. Erganzt wird dies durch einen Abriss der verfugbaren wissenschaftlichen Evidenz zu okonomischen Auswirkungen von Arbeitsmarktprogrammen, verbunden mit einer Reihe von Schlussfolgerungen fur die Durchfuhrung zukunftiger Masnahmen sowie die mit ihnen notwendig einhergehende Evaluierung.
Comparison of serum cystatin C, serum creatinine and glomerular filtration rate estimation by CKD-EPI equation in Thai elderly.

Chronic kidney disease (CKD) is prevalent in elderly population and commonly identified by using serum creatinine as a classic marker for estimation of glomerular filtration rate (eGFR). However, serum creatinine has several limitations in detection of renal dysfunction. Many studies showed that serum cystatin C was more effective than serum creatinine to detect renal dysfunction.In the present study, serum cystatin C was studied for its role as a new biomarker for estimating the GFR by using Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation. Blood samples from 429 patients age over 60 years with serum creatinine levels ≤ 1.4 mg/dL were used in this study. Serum creatinine was measured by Jaffe and enzymatic methods and serum cystatin C was measured by particle-enhanced turbidimetric immunoassay (PETIA). It was shown that the mean of creatinine by Jaffe and enzymatic methods were 0.93 and 0.91 mg/dL, respectively and the mean of cystatin C was 1.19 mg/L. Correlation between serum cystatin C with eGFR (r 2 =0.833) was higher than those between serum creatinine(both Jaffe and enzymatic methods)with eGFR(r 2 =0.699 and 0.477, respectively). Serum cystatin C is a more sensitive marker than creatinine for the estimation of GFR.Comparisons of the eGFR among the results based on creatinine ,cystatin C and combined creatinine-cystatin C CKD-EPI equations, indicated that the combined creatinine-cystatinC CKD-EPI equation is more suitable for the Thai elderly because the method is more sensitive and can detectmild, moderate and severe CKD. However, the cost-effectiveness of using this new marker for clinical use should be considered.
Effect of Soyasaponin Fractions on Human Colon Cancer Cells

Group B saponins, the predominant form of saponins in heat-treated soy products, have been shown to possess hypocholesterolemic, antimutagenic, and anticarcinogenic prope rties. Previous studies have evaluated crude mixtures of soyasaponins, but studies evaluat ing a single purified soyasaponin as an anticarcinogenic agent are limited. The goal of this study is to examine the effects of purified soyasaponins I and III as well as their aglycone form, soyasapogenol B, as anticarcinogenic agents on the human colon adenocarcinoma cell l ine Caco2. Experiments were conducted to determine the effects of purified soyasaponi ns on cell proliferation, Protein Kinase C (PKC) activity, and cell morphology in culture s of Caco-2 cells. Treatment of cells with soyasaponins I and III at concentrations of 300–900 ppm s ignificantly reduced viable cell numbers after 48 and 72 hours of exposure by 10-35% (p<0.05). Soyasapogenol B at a concentration of 100 and 150 ppm significantly reduced viable ce ll numbers after 24 hours by 15 and 62%, respectively (p<0.05). Cell morphology changes demonstrated that as concentrations and lipophilicity of soyasaponins increased, ce ll membranes became rougher and more irregular. Treatment of cells for 72 hours signific antly reduced the amount of PKC activity by 9-40% (p<0.05). Results indicate that purified soyas aponins I, III and soyasapogenol B, at physiologically relevant doses, can suppress Caco -2 colon cancer cell proliferation. These findings suggest that purified group B soyasaponins and their final metabolite soyasapogenol B may be a colon-cancer suppressive component of soy that warrants further examination as a potential nutraceutical or functional food. This thesis is approved for recommendation to the Graduate Council.
Solution of Optimal Reactive Power Dispatch by Flower Pollination Algorithm

This study presents an efficient and reliable evolutionary-based approach, termed as Flower Pollination Algorithm (FPA), to solve the optimal reactive power dispatch (ORPD) problem of power system. The performance of the proposed FPA is examined and tested, successfully, on standard IEEE-30 test power systems for the solution of ORPD problem in which control of bus voltages, tap position of transformers and reactive power sources are involved. The objective function considered is either minimisation of active power transmission loss or that of total voltage deviation or enhancement of voltage stability index. The results offered by the proposed FPA are compared with those offered by other evolutionary optimisation techniques surfaced in the recent state-of-the-art literature. Simulation results indicate that the proposed FPA yields superior solution over the other recently surfaced popular techniques in terms of effectiveness and convergence speed.
A new usage for semantic technologies for e-government: checking official documents’ consistency

Semantic technologies, and particularly the ones related to the Semantic Web and its ontologies, have proven useful for many government related applications and prototypes, such as service configuration, automatic service connection among many others. This is possible because the Semantic Web is based on ontologies, which, in practical words, stands for a detailed conceptualization of a domain and its concepts, relations, constraints and axioms, defined in an unambiguous manner using formal logic. On the other hand, official documents, and particularly legal ones like law codes, often contain semantic deficiencies that are not realized by their authors. The most common among them are ambiguities, inconsistencies and under specifications. These deficiencies are certainly a source of systems' and databases' integration problems and confusion during their usage, when the definitions' intended meanings can differ depending upon the stakeholder. During the ontology development of a domain as simple as vehicles, we have witnessed such phenomena. The necessity of defining the different vehicle types in detail for classification and checking purposes shed light on some of these deficiencies present in two Brazilian legal codes. In this work, we present the building process of the ontology, the resulting ontology and show how these deficiencies were evidenced during its construction. This fact actually opens up new possibilities in the usage of semantic technologies, as guides to check whether official documents are ontologically and logically correct, by not containing ambiguities, under specification or inconsistencies.
Coupled wake boundary layer model of wind-farms

We present and test a coupled wake boundary layer (CWBL) model that describes the distribution of the power output in a wind-farm. This model couples the traditional, industry-standard wake model approach with a “top-down” model for the overall wind-farm boundary layer structure. The wake model captures the effect of turbine positioning, while the “top-down” portion of the model adds the interactions between the wind-turbine wakes and the atmospheric boundary layer. Each portion of the model requires specification of a parameter that is not known a-priori. For the wake model, the wake expansion coefficient is required, while the “top-down” model requires an effective spanwise turbine spacing within which the model's momentum balance is relevant. The wake expansion coefficient is obtained by matching the predicted mean velocity at the turbine from both approaches, while the effective spanwise turbine spacing depends on turbine positioning and thus can be determined from the wake model. Coupling of the constitutive components of the CWBL model is achieved by iterating these parameters until convergence is reached. We illustrate the performance of the model by applying it to both developing wind-farms including entrance effects and to fully developed (deep-array) conditions. Comparisons of the CWBL model predictions with results from a suite of large eddy simulations show that the model closely represents the results obtained in these high-fidelity numerical simulations. A comparison with measured power degradation at the Horns Rev and Nysted wind-farms shows that the model can also be successfully applied to real wind-farms
An Isolated Multiport DC-DC Converter forDifferent Renewable Energy Sources

This paper presents a new isolated multiport dc–dc converter for concurrent power management of several renewable energy sources which can be of similar types. The proposed dc–dc converter uses only one controllable switch in each port to which a source is connected. It has simple configuration and minimum number of power switches. The proposed converter is applied for simultaneous maximum power point tracking (MPPT) control of a wind/solar hybrid generation system consisting of one Wind Turbine Generator (WTG) and two different Photovoltaic (PV) panels. The experimental results are provided to validate the incisiveness of using the proposed converter to achieve MPPT simultaneously for the WTG and both PV panels.
Self-assembly of silicon particles using magnetic levitation

In this work, self-assembly of cubic silicon particles into a crystalline formation using magnetic levitation is presented. A self-assembly set-up was created and characterised. Template-free self-assembly of hydrophilic particles is compared against (1) template-free self-assembly of hydrophilic particles and (2) templated self-assembly of hydrophilic particles. The results show that (1) hydrophobic funcionalisation up to a certain hydrophobicity increased the quality of a self-assembled agglomerate and (2) templated self-assembly increased the amound of good contaacts by a factor two compared to template-free self-assembly. The ultimate goal is full three-dimentional microfabrication capabilities.
An improved economic growth model with endogenous fertility

This paper generalizes the model introduced by Cai in [5], where the Cass-Koopmans optimal growth model has been extended to allow for endogenous fertility choice. A sufficient condition for the existence of a nonzero steady state equilibrium is provided. If there is a unique nonzero steady state, this is a saddle point. If there are multiple nonzero steady states, the rightmost is a saddle point. M.S.C. 2000: 91B62.
International Conference on Hydroinformatics 8-1-2014 HPC For DRM-Operational Flood Management In Urban Environment

A regional flood warning system based on a combination of data processing, modelling and communication tools is proposed. The system is founded on a common framework MIKE CUSTOMISED, giving great flexibility in tailoring solutions as needed. Where more conventional flood warning systems focus mainly on discharge predictions in the main rivers the proposed system considers the whole catchment area – flood plain, as well as tributaries. Local floods on smaller streams and tributaries may cause high damages, particular in urban areas. Such cases require timely reasonably accurate forecasts for proper decision making. The MIKE SHE modelling system is used to ensure simulation of flood danger map. It also provides runoff hydrographs for the detailed hydrodynamic models of the river channel network and flood plains based on 1D / 2D approximations (MIKE FLOOD). Generated flood maps are post processed and ported to the required forms and delivered via communication channels to users. Dissemination of results is done through web pages automatically maintained by the system. The complete forecast simulation must be run at a frequency of tens of minutes making the system demanding with respect to computational power and transmission capacity. For this reason the system is being adapted to a High Performance Computer (HPC) solution, see Hager et al. [1]. The use of HPC also allows parallel variant computations and real-time probabilistic assessments. IT4Innovations National Supercomputing Centre is a research institute at the VŠB – Technical University of Ostrava. This centre provides the perfect platform for applications of HPC for Disaster Risk Management (DRM), utilised for life protection and damage minimization. The paper contributes both to the theory of application of HPC for standard hydrodynamic modelling but also to a real life application. A concept for operational Flood Risk Mapping projects has been developed and offered for several potential users in the region where such efficient solution could solve the operational issues of DRM.
The Relevance of Critical Accounting Theory (CAT) to Effectiveness of Public Financial Accountability in Emerging Economies

In the past, researchers of financial accountability have relied on Agency and Stewardship theories to explain the phenomena that may hinder the exchange of financial information in the accountability process. This article examines the relevance of CAT to effective public financial accountability.Public sector in developing countries has accountability mechanism that is based onagency model. Accountability mechanism following the assumptions of principal-agent theory will most likely focus on monitoring procedures in order to reduce information asymmetry. This can enhance the disclosure of information but may result in an information overload problem on the part of the accountors’ and the accountees. Extant literature asserts that the theory is not anappropriate framework for contractual services that are difficult to be measured and observed, and that the theory fail to address the issue of relevance of environment, competition, management capability, and availability or lack of strong incentives, particularly financial, for aligning an agent’s actions. As research in public financial accountability emerged, the issue of the most appropriate theoretical framework to adopt remained unanswered. Critical Accounting Theory (CAT) is gaining wider acceptability among scholars in their quest to address the problem of the conflict of goals between the principal and the agent and the difficulty or the inability of the principal to verify what the agent is doing.Extant literature established thepaucity of studies on critical accounting literature that focus on developing countries.This theoretical paper exalts CAT and its relevance to modern day developing societies.
Do Intensity Targets Control Uncertainty Better than Quotas? Conditions, Calibrations, and Caveats

Among policy instruments to control future greenhouse gas emissions, well-calibrated general intensity targets are known to lead to lower uncertainty on the amount of abatement than emissions quotas (Jotzo and Pezzey 2004). The authors test whether this result holds in a broader framework, and whether it applies to other policy-relevant variables as well. To do so, they provide a general representation of the uncertainty on future GDP, future business-as-usual emissions, and future abatement costs. The authors derive the variances of four variables, namely (effective) emissions, abatement effort, marginal abatement costs, and total abatement costs over GDP under a quota, a linear (LIT) and a general intensity target (GIT)-where the emissions ceiling is a power-law function of GDP. They confirm that GITs can yield a lower variance than a quota for marginal costs, but find that this is not true for total costs over GDP. Using economic and emissions scenarios and forecast errors of past projections, the authors estimate ranges of values for key parameters in their model. They find that quotas dominate LITs over most of this range, that calibrating GITs over this wide range is difficult, and that GITs would yield only modest reductions in uncertainty relative to quotas.
Development of small-scale wind energy systems adaptable to climatic conditions using chattering torque control - PI pitch control and CAES strategy

Small wind turbines are commonly single-turbine installations owned by individual homeowners or farmers for on-site electricity consumption, and are becoming an attractive alternative for off-grid electrification and water pumping, both as stand-alone applications and in combination with other energy technologies such as photovoltaic, small hydro or diesel engines. The cost of energy alone is not the only criterion to consider, other aspects like system performance, suitability for a given wind regime, reliability under normal and extreme wind conditions, efficiency in energy storage and exploitation, and overall system life are often equally important. This research deals with the development of small-scale wind energy systems for increasing the productivity of wind power and achieving the better exploitation of generated energy. The proposed wind turbine controller is based on the variable-speed variable-pitch power regulation strategy, using the combination of chattering torque control and PI pitch control. The hardware-in-the-loop (HIL) simulation and on-site experimental testing in rural area are presented. Compressed air energy storage (CAES) strategy for the energy exploitation is also discussed.
PREDICTION OF PHENOTYPIC AND GENOTYPIC VALUES BY BLUP/GWS AND NEURAL NETWORKS

ABSTRACT Genome-wide selection (GWS) uses simultaneously the effect of the thousands markers covering the entire genome to predict genomic breeding values for individuals under selection. The possible benefits of GWS are the reduction of the breeding cycle, increase in gains per unit of time, and decrease of costs. However, the success of the GWS is dependent on the choice of the method to predict the effects of markers. Thus, the objective of this work was to predict genomic breeding values (GEBV) through artificial neural networks (ANN), based on the estimation of the effect of the markers, compared to the Ridge Regression-Best Linear Unbiased Predictor/Genome Wide Selection (RR-BLUP/GWS). Simulations were performed by software R to provide correlations concerning ANN and RR-BLUP/GWS. The prediction methods were evaluated using correlations between phenotypic and genotypic values and predicted GEBV. The results showed the superiority of the ANN in predicting GEBV in simulations with higher and lower marker densities, with higher levels of linkage disequilibrium and heritability.