Miracle-dz/UniFAR-FTUs huggingface dataset:
Mass limits for dark clusters of degenerate fermions

We calculate the range of possible masses for dark spheres of bound fully degenerate fermions as a function of the fermion mass. The cosmological constant is included in our calculations. We deduce that the minimum fermion mass that is able to give rise to degenerate fermion clusters is ∼0.02 g −1/4 eV, where g is the spin degeneracy parameter. We show that degenerate fermions of mc 2 ≈ (15−30) g −1/4 eV can build bound degenerate dark haloes that could reproduce the values of the rotation velocities of galaxies. The masses and radii derived for these degenerate dark haloes of typical galaxies, without considering any cosmological information, agree with the Jeans masses and radii of a cosmological background of ∼(20−30) g −1/4 eV degenerate fermions at redshift z ≈ 50. However,
RANKING of the E-TRUST FACTORS in ELECTRONIC TRANSACTIONS in the CONTEXT of B2C E-COMMERCE (from the consumers point of view and by using Friedmans ranking method)

: Today, a considerable amount of commercial transactions have appertained to the electronic transactions and electronic markets, aside from or versus the traditional markets, have attracted and collected a large number of buyers, distributers and sellers with the aim of exploring commercial opportunities for trading interactions and gaining more profit. The environment of electronic markets has inherited the risks and vulnerability for its infrastructure, i.e. the internet. This high risk environment complicates the process of building trust in transactions for transaction parties. The virtual and online nature of the new environment emphasizes the importance of the term “online trust”. The factors of online trust in different classes of e-commerce are different from each other depending on the type of transaction parties. In various studies the factors of trust in e-commerce transactions of type B2C have been identified and discussed. These factors can be classified in three groups of personal, corporate and trust context factors. In this research, after categorizing the electronic trust factors to five groups of personal, corporate, legal, contextual and infrastructural, and by collecting the necessary data from 10 e-commerce websites we have ranked the trust factors from the perspective of those websites‟ customers. According to the opinions of the customers of those websites, the priority of electronic trust factors is mixed marketing factors and e-security and privacy policy factors.
Building Cost-efficient Models using BLARS Method

Variable selection is a difficult problem in building statistical models. Identification of cost efficient diagnostic factors is very important to health researchers, but most variable selection methods do not take into account the cost of collecting data for the predictors. The trade-off between statistical significance and cost of collecting data for a statistical model is our focus. In this paper, we extend the LARS variable selection method to incorporate costs of factors in variable selection, which also works with other methods of variable selection, such as Lasso and adaptive Lasso. A branch and bound search method combined with LARS is employed to select cost-efficient factors. We apply the resulting branching LARS method to a dataset from an Assertive Community Treatment project conducted in Southwestern Ontario to demonstrate the cost-efficient variable selection process, and the results show that a "cheaper" model could be selected by sacrificing a user selected amount of model accuracy.
Thermophysical Properties of 201 Aluminum, Ductile Iron and Sebiloy II

Major thermophysical property data are of fundamental importance to accurate and reliable design of melting and casting processes. These data must be known for the entire temperature range of interest. In addition, new algorithms under development for predicting microstructure require that precision data within the critical mushy zone also be known. Typical thermophysical properties of casting alloys of interest to foundrymen include: transformation temperatures, density, specific heat, latent heat, thermal diffusivity/conductivity, electrical resistivity, surface tension and viscosity. The current paper briefly reviews measurement techniques that are being applied to develop a database of thermophysical property data for a number of important casting alloys. Recent data are also presented for A201 aluminum, ductile iron, and Sebiloy II alloy. Downloadable data files of the thermophysical properties for these alloys can be accessed via the world-wide-web at http://metalcasting.auburn. edu.
Developing as a practitioner: How supervision supports the learning and development of trainee educational psychologists in three-year doctoral training

Aim:In the UK the change from a one-year Master’s to a three-year doctoral training programme has provided extended opportunities and challenges for trainee educational psychologists in developing their practitioner skills and professional role. Supervision is a key foundation for supporting trainees in this process. This paper provides an analysis of the supervision experiences of trainee educational psychologists informed by developmental theories of supervision.Method:In order to explore the developmental experiences of trainee educational psychologists across the three years of training, focus groups were undertaken with each year group of trainee educational psychologists at four initial educational psychology training programme sites. These 12 focus groups were analysed using thematic analysis.Findings:Five key themes relating to the development of practitioner skills were identified; developing professional learning and professional role; responsiveness to developmental learning needs; sensitive management of emotional aspects of learning; developing critical analysis of professional work and meta-analysis of professional activity and professional role.Limitations:There is a need for longitudinal research into developmental models of supervision and their application to EP training specifically.Conclusions:The five themes provide some support for the utility of developmental models of supervision in informing the future development of UK educational psychology training.
Photosynthetic measurements in lettuce submitted to different agroindustrial residue composting

Este trabajo fue desarrollado con el objetivo de evaluar el efecto de diferentes compuestos organicos derivados de residuos agro-industriales en el intercambio gaseoso y la fluorescencia de la clorofila a en la lechuga. Se realizo el experimento en condiciones de vivero, con un diseno completamente al azar con 14 tratamientos y cuatro repeticiones. Utilizando los siguientes tratamientos T1 a T6 (el tratamiento con la mezcla basica de la cana de azucar), T7 a T12 (el tratamiento con la mezcla basica de coco), T13 (estiercol) y T14 (abonos minerales). Se evaluaron los siguientes parametros: la fotosintesis, la transpiracion, la conductancia estomatica, la relacion de las concentraciones de CO 2 intra/extracelular (Ci / Ca), la eficiencia instantanea del uso del agua (A/E), la eficiencia de carboxilacion (A/Ci), el contenido de clorofila y la maxima eficiencia cuantica del fotosistema II (F v /F m ). Las plantas de lechuga cultivadas con fertilizantes minerales y estiercol mostraron mayores valores de la conductancia estomatica. Los tratamientos con mezcla basica de la cana de azucar presentaran mayores tasas de fotosintesis, transpiracion, eficiencia de carboxilacion y el contenido de clorofila, lo que indica que la lechuga tiene una mejor capacidad fotosintetica cuando cultivada en estos sustratos.
Conceptualisation for implementing total productive maintenance through the ISO 9001:2008 standard-based quality management system

This paper conceptualises the integration of total productive maintenance (TPM) and ISO 9001 certification by contributing a model called TPM 9001:2008. Through this conceptualisation, the eight TPM pillars are amended to the five major clauses of the ISO 9001:2008 standard. To illustrate this conceptualisation, the contents of a sub-clause of the TPM 9001:2008 model are presented, and the rationale behind its designation is appraised.
IRAS 18456-0223 -a flare star in a new star forming region

We report the discovery of a new conspicuous flare star coincident with the position of the IRAS PSC source 18456-0223 that is located in or projected on a dark cloud. In the immediate vicinity of the source, a very faint nebula and a small group of stars are detected in the optical. We carried out rough red band photometry and accurate astrometry of those stellar objects. In addition, near-infrared images were obtained with the DENIS survey instrument in I (0.8), J (1.25) and K s (2.15 μ m) that show an increasing number of stars which appear to constitute a small cluster around the position of the IRAS source; the flare star itself ($R_{\rm MAX} \approx$ 15 fraction of minute55, $R_{\rm MIN} > $ 22 fraction of minute5) however, could not be traced. We assume that the flare star is enshrouded in a dust cloud of $A_{V}> 10^{\rm m}$. By using a K vs. $J-K$ diagram we were able to detect a new star forming region around IRAS 18456-0223 by identifying a number of YSO candidates. The distance estimate is $1600\pm400$ pc and that of the foreground extinction $A_{V} = 2\pm0.5$ mag.
DroidNMD: Network-based Malware Detection in Android Using an Ensemble of One-Class Classifiers

—During the past few years, the number of malware designed for Android devices has increased dramatically. To confront with Android malware, some anomaly detection techniques have been proposed that are able to detect zero-day malware, but they often produce many false alarms that make them impractical for real-world use. In this paper, we address this problem by presenting DroidNMD, an ensemble-based anomaly detection technique that focuses on the network behavior of Android applications in order to detect Android malware. DroidNMD constructs an ensemble classifier consisting of multiple heterogeneous one-class classifiers and uses an ordered weighted averaging (OWA) operator to aggregate the outputs of the one-class classifiers. Our work is motivated by the observation that combining multiple one-class classifiers often produces higher overall classification accuracy than any individual one-class classifier. We demonstrate the effectiveness of DroidNMD using a real dataset of Android benign applications and malware samples. The results of our experiments show that DroidNMD can detect Android malware with a high detection rate and a relatively low false alarm rate.
An expert supernova spectral classification using artificial neural networks

The supernovae (SN) classification is an important scientific issue in astrophysics and cosmology. Usually, it is done by analyzing the spectra observed near the peak of the correspondent light curve. Because this task is difficult and usually made by an expert astronomer, it is important the study of computational techniques that allow the automatic classification of these spectra. In this paper we perform SN automatic classification method based on computational intelligence that simulates the human analytical expertise, making it a more formal classification and less prone to subjectivity of human analysis. Our classifier was developed using Multilayer Perceptron Neural Network to identify the usual SN types: Ia, Ib, Ic and II. The classifier was trained and tested on a database with 331 spectra of 56 different SN. The results are promising and indicate viability of this methodology for automatic SN classification in larger data sets.
Multi-information incorporation approach to kernel-based infrared target model construction with application to target tracking

We present an approach that incorporates multi-information, including intensity value, spatial relation, and local standard deviation information of the pixels in target region, into kernel density estimation for constructing the kernel-based infrared (IR) target model. The incorporated information can complement each other for a target-tracking task. This constructed target model is evaluated based on the relative entropy of the two classes and is applied in a mean shift tracking system for IR target tracking to verify the effectiveness.
The effects of government budgetary allocation to agricultural output in Nigeria

The study, “Government Budgetary Allocation to the agricultural sector and its effect on agricultural output in Nigeria”, is an attempt at highlighting the quantity and quality of national commitment (through public expenditure/budgetary allocation) to agricultural development over the years. Using government budgetary allocation to the agricultural sector and commercial bank credit to the agricultural sector as our explanatory variables, we examine the effect of government budgetary allocation to the agricultural sector on the output of the agricultural sector. Data were obtained from CBN’s Statistical Bulletin and NBS’s Annual Abstract of Statistics. Employing the OLS regression technique, our results revealed that budgetary allocation to agricultural sector has significant effect on agricultural production in Nigeria and that the relationship between them is strong, positive and significant. Thus, the study recommends that budgetary allocation to the agricultural sector should be increased and monitored, to guarantee food security, employment and overall economic growth and development in Nigeria.
Effect of the variation of the Higgs vacuum expectation value upon the deuterium binding energy and primordial abundances of D and 4He

Aims. We calculate the constraints on the time variation of the Higgs vacuum expectation value from Big Bang Nucleosynthesis. Methods. Starting from the calculation of the deuterium binding-energy, as a function of the pion-mass and using the NN-Reid 93 potential, we calculate the abundances of primordial D and 4 He by modifying Kawano’s code. The Higgs vacuum expectation value (v) and the baryon to photon ratio (ηB) enter the calculation as free parameters. By using the observational data of D and 4 He, we set constraints on ηB and on the variation ofv, relative to a constant value of ΛQCD.
EFFECT OF ETHANOL STEM BARK EXTRACT OF BERLINIA GRANDIFLORA HUTCH AND DALZ ON MARKER LIVER ENZYMES IN RATS TREATED WITH CCl4

Objective: The objective of this work was to validate the traditional claim of the use of the stem bark of Berlinia grandiflora in treating liver problems by investigating the effect of its ethanol stem bark extract on maker liver enzymes in vivo.Methods: Groups of Wistar albino rats (6 in each group) were daily treated with CCl4 (2 ml/kg b.w., diluted with olive oil 1:1 v/v, intravenously), followed by oral administration of ethanol stem bark extract of Berlinia grandiflora (ESBG) at doses 100, 300 and 900 mg/kg b.w. respectively, 3 h after the administration of the CCl4. Serum biochemical parameters were measured 24 h at the end of the 7-day treatment period and compared to a group intoxicated with CCl4 (2 ml/kg b.w., diluted with olive oil 1:1 v/v, intravenously) alone.Results: Treatment of rats with ESBG (at doses 100, 300 and 900 mg/kg b.w. orally) reduced the impact of CCl4-induced hepatotoxicity on liver maker enzymes Alanine aminotransferase (ALT), Aspartate aminotransferase (AST), Alkaline phosphatase (ALP) and total bilirubin (TB), with the 900 mg/kg b.w. showing a significant reduction (p<0.05) compared to the group intoxicated with CCl4. The extract reversed the impact of the CCl4-induced hepatotoxicity by increasing the concentration of the serum Total protein (TP) and albumin (ALB), with the 900 mg/kg b.w. dose showing a significant increment (p<0.05) compared to the group intoxicated with the CCl4.Conclusion: The investigation of the effect of Berlinia grandiflora on CCl4 induced liver damage revealed that the ethanol extract of the stem bark of the plant was able to reverse the hepatotoxicity, with the 900 mg/kg b.w. dose showing a significant activity.
THE PRICING OF EXOTIC OPTIONS BY MONTE–CARLO SIMULATIONS IN A LÉVY MARKET WITH STOCHASTIC VOLATILITY

Recently, stock price models based on Levy processes with stochastic volatility were introduced. The resulting vanilla option prices can be calibrated almost perfectly to empirical prices. Under this model, we will price exotic options, like barrier, lookback and cliquet options, by Monte–Carlo simulation. The sampling of paths is based on a compound Poisson approximation of the Levy process involved. The precise choice of the terms in the approximation is crucial and investigated in detail. In order to reduce the standard error of the Monte–Carlo simulation, we make use of the technique of control variates. It turns out that there are significant differences with the classical Black–Scholes prices.
Neutron resonances in three-body system in the thermal range

The main objective of the work is to determine the new resonances in three-body system that consists of one neutron and two heavy nuclei. New resonances are formed in the re-scattering of neutron on subsystem of these nuclei. Such neutron resonances become stronger at particular values of the distances between the nuclei and the resonances vanish if distances become larger or less than these resonance distances. Theoretical analysis of the properties of new resonances in three-body systems are given and calculations of the resonance characteristics are provided. Possibilities for experimental studies of new resonance effects are discussed. It is suggested to investigate new neutron resonances in piezo-crystals that contain isotopes, which have resonances in the thermal range. As the sample the isotopes of 113Cd are considered because the corresponding the electric piezoeffect allows to vary the distances between the nuclei. Subject Classification: 21.10. -k; 25.40Lw; 26.60+c
HIGH POWER RF SOURCES FOR THE ESS RF SYSTEMS

The RF systems for ESS will consist of around 150 high power RF sources and will deliver 125 MW peak power to the proton beam during the 2.86 ms pulse with an average power of 5 MW. The two RF frequencies, 352 and 704 MHz, the different power requirements along the linac and the sources currently available strongly influence the choice of RF technology. This talk will focus on the high power RF solutions for the main parts of the linac. We present an overview of the available technology along with the first test results of the main sources. Additionally, we will present the preliminary design of a new 1.2 MW multi-beam super power IOT being designed together with industry for the high beta section of the linac.
Health and goal-directed behavior: The nonconscious regulation and motivation of goals and their pursuit

Abstract Modern research in the domain of health psychology considers goals to play a pivotal role in shaping, changing and maintaining behaviors related to health. Whereas the common view on this topic assumes that goal pursuit is governed by a conscious intentional process, recent research indicates that goal pursuit can emerge without involvement of conscious intent. This paper discusses key findings of this research on nonconscious goal pursuit, and attempts to promote a more comprehensive understanding and examination of the role of goals in human behavior, self-regulation and health. Specifically, it addresses (1) the role of habits and planning; (2) the human capacity to go beyond habits nonconsciously by regulating goals without awareness of the activation and operation of the goal; and (3) the fundamental role of affect in nonconsciously modulating the motivation of goals and their pursuit.
Government Policies for Corporate Social Responsibility in Europe: A Comparative Analysis of Institutionalisation

This paper analyses policies of 22 European Union member governments, designed to encourage corporate social responsibility (CSR) between 2000 and 2011. It categorises these policies by their regulatory strength and identifies the range of issues to which CSR policies are directed. The paper argues that Northern European, Scandinavian and UK governments are reconstructing their respective institutional structures to embed CSR concerns more explicitly therein. It concludes that these government CSR initiatives are converging, particularly around their increased regulatory strength and the broadening of their issue application. Policies in Mediterranean and the former communist countries do not reflect increasing institutionalisation.
Sampling Based Average Classifier Fusion

Classifier fusion is used to combine multiple classification decisions and improve classification performance. While various classifier fusion algorithms have been proposed in literature, average fusion is almost always selected as the baseline for comparison. Little is done on exploring the potential of average fusion and proposing a better baseline. In this paper we empirically investigate the behavior of soft labels and classifiers in average fusion. As a result, we find that; by proper sampling of soft labels and classifiers, the average fusion performance can be evidently improved. This result presents sampling based average fusion as a better baseline; that is, a newly proposed classifier fusion algorithm should at least perform better than this baseline in order to demonstrate its effectiveness.
Predictive Sliding Mode Control for Attitude Tracking of Hypersonic Vehicles Using Fuzzy Disturbance Observer

We propose a predictive sliding mode control (PSMC) scheme for attitude control of hypersonic vehicle (HV) with system uncertainties and external disturbances based on an improved fuzzy disturbance observer (IFDO). First, for a class of uncertain affine nonlinear systems with system uncertainties and external disturbances, we propose a predictive sliding mode control based on fuzzy disturbance observer (FDO-PSMC), which is used to estimate the composite disturbances containing system uncertainties and external disturbances. Afterward, to enhance the composite disturbances rejection performance, an improved FDO-PSMC (IFDO-PSMC) is proposed by incorporating a hyperbolic tangent function with FDO to compensate for the approximate error of FDO. Finally, considering the actuator dynamics, the proposed IFDO-PSMC is applied to attitude control system design for HV to track the guidance commands with high precision and strong robustness. Simulation results demonstrate the effectiveness and robustness of the proposed attitude control scheme.
The Abnormal Performance of Bond Returns

This article studies the link between the predictability of futures returns and the business cycle. Modelling the relationship between the variation through time in expected futures returns and economic activity should give us some insight as to whether the predictable movements in futures returns result from rational variation in the returns required by investors over time. With this in mind, the paper investigates three hypotheses that are consistent with weak-form market efficiency. First, it tests whether the time-varying risk premia identified in futures markets move in tandem. Second, it examines if the information variables predict futures returns because of their ability to proxy for change in the business cycle. Third, it analyses whether the pattern of forecastability in futures markets is consistent with the evidence from the stock and bond markets and with traditional theoretical explanations of the trade-off between risk and expected returns.