Miracle-dz/UniFAR-FTUs huggingface dataset:
Educator Perceptions of Soft Skill Development: An Examination within the Malaysian Public Higher Education Sector

Recognition of the importance of soft skills in today’s workforce has gained increasing momentum, with educators and industry bodies identifying that generic skills are vitally important to business success. Despite this acknowledgement, a survey of the current literature highlights that many higher education institutions (HEIs) maintain a stronger emphasis on subject-specific knowledge and skill development when compared to soft skills. A number of factors have been shown to influence the development of soft skills including demographic makers, professional body/accreditation requirements and educator personal expectations or views. In this study, the focus is on those educator perceptions which influence the teaching and learning of soft skills. The study is set in Malaysia, where the Ministry of Higher Education (MOHE) has formally acknowledged the importance of seven soft skills. Semi-structured interviews were used to examine the views of 25 educators from five Malaysian Public HEIs. Findings from the interviews showed that educator beliefs and their personal expectations or views influenced their emphasis on the teaching and learning of soft skills. The findings of the study have implications for educators, HEIs and policy makers, and for future research into the effectiveness, roles and responsibilities of HEIs in this important area
Assessing The Impact of Spiritual Health, Self-Actualization, and General Health, on Quality of Life

Introduction: During the past decades, spiritual health is one of the major aspects of human health, Self-actualization continuous and dynamic process to achieve maximum growth potential, capabilities and talent. Over time, researchers have found that quality of life can be one of the important outcomes of the health assessment the World Health Organization definition of health
Efficient Hand-Over Motion Reconstruction

In this paper, a hand-over motion reconstruction methodology is presented. First to be examined in the proposed approach is the way in which the system computes the optimal markerset for a given dataset of hand motion sequences. In a second step before the motion reconstruction process and given the reduced number of markers, the system estimates the remaining markers by computing a simple distance metric. Having the complete number of markers, including both the input and the computed markers, the system reconstructs the motion of the character’s fingers. The reconstruction process is formulated in a maximum a posteriori framework, which is responsible for approximating a valid pose of the character’s hand, in which the mixture of factor analysis (MFA) clustering techniques was used for the prior learning process. The results show that high quality motions of the character’s hand can be reconstructed with the methodology presented.
Multidimensional Data Driven Classification of Active Galaxies

We propose a new soft clustering scheme for classifying galaxies in different activity classes using simultaneously 4 emission-line ratios; log([NIII]/H{\alpha}), log([SII]/H{\alpha}), log([OI]/H{\alpha}) and log([OIII]/H{\beta}). We fit 20 multivariate Gaussian distributions to spectra obtained from the Sloan Digital Sky Survey (SDSS) in order to capture local structures and subsequently group the multivariate Gaussian distributions to represent the complex multi-dimensional structure of the joint distribution of galaxy spectra in the 4 dimensional line ratio space. The main advan- tages of this method are the use of all four optical-line ratios simultaneously and the adoption of a clustering scheme. This maximises the available information, avoids contradicting clas- sifications, and treats each class as a distribution resulting in soft classification boundaries. We also introduce linear multi-dimensional decision surfaces using support vector machines based on the classification of our soft clustering scheme. This linear multi-dimensional hard clustering technique shows high classification accuracy with respect to our soft-clustering scheme.
Effectiveness of a Cluster of Determinants to Increase Economic Growth Rate: A Combined Statistical Criteria Approach

This paper attempts to estimate the effectiveness of a cluster of determinants to increase gross domestic product (GDP) growth rate by using a combined statistical criteria approach. First, combining three ranking measures i.e., partial regression coefficients, adjusted R2 and Bayesian information criterion (BIC) into one single ranking procedure for finding and ranking the impact of each determinant - Y-procedure. Second, ranking the effectiveness of a cluster of determinants, each of which has been Y-procedure ranked using F-statistics, adjusted R2 and BIC in increasing GDP growth rate - Y-average. The results show that sets of top five or more variables should be considered as one entity with respect to increasing GDP growth rate, and the degree of effectiveness increases if their Y-average of relative measures increases. On application of this Y-procedure and Y-average to Australian GDP growth rate, it is found that investment, current account balance, gross foreign liability, export and import have the highest impact and thus, these five variables should be given priority when constructing the relevant economic policies and allocation of funds towards increasing GDP growth rate specifically for the case of Australia
BAY LAUREL (LAURUS NOBILIS L.) IN JAPANESE QUAILS FEEDING. 2. FATTY ACID CONTENT AND OXIDATIVE STABILITY OF BREAST MEAT

KARAALP, M. and N. GENC, 2013. Bay laurel (Laurus nobilis L.) In Japanese quails feeding. 2. Fatty acid content and oxidative stability of breast meat. Bulg. J. Agric. Sci., 19: 606-610 In this study, the antioxidant effect of dietary supplementation with bay laurel (Laurus nobilis L.) leaves (LN) to a conventional diet on fatty acid content and oxidatif stability of breast meat was studied. For that purpose, a total number of 60 Japanese quails aged 56-d were fed diets supplemented with 0 (LN0), 2 (LN2) and 4 g (LN4) leaves/kg of feed, respectively. Quails were housed individually in cages during ten weeks. Fatty acid composition was determined for fresh breast meat. Malondialdehyde (MDA) values were determined in breast meat samples stored at +4 o C (2, 5 and 8 d) and at -20 o C (3 and 6 mo). Supplementation of LN had no effect on any fatty acid content of meat. However, addition of LN lowered (P<0.01) MDA content of the refrigerated meat samples only at 8 d. On the other hand, supplementation with LN had no significant effect on reducing the MDA values of meat samples during the other stored times. Besides, the amount of MDA increased (P<0.01) in all of the refrigerated and frozen meat samples with time. The results of this study demonstrated that supplementation of LN could reduce MDA content of refrigerated meat samples only at 8 d.
Adsorption of Trinitrotoluene on a MgO(001) Surface Including Surface Relaxation Effects

A thorough investigation of 2,4,6-trinitrotoluene (TNT) adsorption on a MgO(001) surface was carried out using density functional theory (DFT) combined with periodic boundary conditions. Four different initial orientations of the TNT molecule, adsorbed on two different representations of the MgO(001) surface, were investigated. In the first surface representation, there were two fixed layers of atoms and in the second the surface had three layers, with the uppermost fully relaxed in geometry optimizations. Electron density difference maps for each case were computed and provided a detailed picture of the interactions. The results showed a physical adsorption process for both surface representations. In the most favorable situation—TNT adsorbed on the surface with three layers—the computed adsorption energy was −9.89 kcal/mol. The importance of allowing the uppermost layer of the surface to fully relax upon molecular desorption was shown.
Tests for Dynamic Effects in Linear Panel Data Models

This paper proposes simple tests to detect dynamic and random effects in linear panel data models, in the form of lagged dependent variables and random effects. We use the analytical framework of Bera and Yoon (1993) to derive tests for the presence of random effects, lagged dependent variables, or both. All test statistics can be computed based on pooled OLS estimates, and hence can serve as a useful specification search tool to validate the adoption of a dynamic model.
An Efficient Model for Web Vulnerabilities Detection based on Probabilistic Classification

The vulnerabilities in the source code can invite the hacking attempts over the software source code. The hacking attempts over the source codes are usually made to steal the data or the session in order to extract the required data from the software storage or the user profile. To build the trusted software, which are considered non hack able or with minimum vulnerabilities, the vulnerability detection before publishing the final software distribution becomes the essential affair. We will work upon four vulnerabilities i.e. Cross site scripting, SQL injection, Remote code execution and File inclusion which are four top most vulnerabilities according to OWASP’s top 10 report. In this paper, the proposed work is described to improve the performance parameters i.e. recall, false alarm rate and accuracy of existing system for detection of these four vulnerabilities. In our proposed work we will use probabilistic classification and feature descriptor for enhancing the system performance.
Production of Reactive Oxygen Species and Antioxidant Defense Systems in Patients after Coronary Artery Bypass Grafting: One-Week Follow-up Study *

∨ ak 2 Objectives: Great cardiac surgery performed with cardiopulmonary bypass is associated with systemic inflammatory response which is characterised by an extensive overproduction of reactive oxygen species, too. This oxidative stress draws off the endogenous stores of antioxidant systems and usually evokes a decrease of antioxidant status of the organism. According to the recent observations, the new off-pump method is less harmful and evokes only moderate systemic inflammatory reaction. Aim of study: Follow-up of patients with low and high left ventricular ejection fraction undergoing on-pump or off-pump cardiac surgery (coro- nary artery bypass grafting) in course of the first postoperative week. Patients and methods: Forty-one patients were divided in four groups according to their left ventricular function (patients with low or high left ventricular ejection fraction) and to the surgical technique used (with or without cardiopulmonary bypass). Immediately before surgery and in course of the first postoperative week, samples of central venous line were drawn and some parameters of oxidative metabolism were analysed: plasma levels of total antioxidant status (TAS) and thiobarbituric acid reactive substances (TBARS) as well as the erythrocyte activities of superoxide dismutase (SOD) and glutathione peroxidase (GPx). Results: Patients undergoing surgical myocardial revascularisation - regardless of the grade of their cardiac dysfunction or of the kind of surgical technique used - revealed a marked decrease of TAS even at the preoperative period that did not change substantially during the early postoperative period. In the group of patients with high left ventricular ejection fraction a tendency to further decrease of plasma levels of TAS was observed. Despite of negligible changes of the plasma levels of TBARS, during the short postoperative period markedly decreased activities of SOD and only non-significantly increased activities of GPx were demonstrated in the whole cohort of investigated patients. Conclusions: Patients with coronary artery disease undergoing surgical revascularisation (coronary artery bypass grafting) revealed a marked decrease of antioxidant capacity before and after surgical event. The extensive treatment of these patients with antioxidant drugs and vitamins was recommended even in the preoperative period. J Clin Basic Cardiol 2005; 8: 33-6.
Multi-scale simulations of black hole accretion in barred galaxies

Due to the non-axisymmetric potential of the central bar, in addition to their characteristic arms and bar, barred spiral galaxies form a variety of structures within the thin gas disk, such as nuclear rings, inner spirals, and dust lanes. These structures in the inner kiloparsec are extremely important in order to explain and understand the rate of black hole feeding. The aim of this work is to investigate the influence of stellar bars in spiral galaxies on the thin self-gravitating gas disk. We focus on the accretion of gas onto the central supermassive black hole and its time-dependent evolution. We conducted multi-scale simulations simultaneously resolving the galactic disk and the accretion disk around the central black hole. In all the simulations we varied the initial gas disk mass. As an additional parameter we chose either the gas temperature for isothermal simulations or the cooling timescale for non-isothermal simulations. Accretion was either driven by a gravitationally unstable or clumpy accretion disk or by energy dissipation in strong shocks. Most of the simulations show a strong dependence of the accretion rate at the outer boundary of the central accretion disk (r < 300 pc) on the gas flow at kiloparsec scales. The final black hole masses reach up to ~109 M⊙ after 1.6 Gyr. Our models show the expected influence of the Eddington limit and a decline in growth rate at the corresponding sub-Eddington limit.
Bailout Policy in a Globalized Economy

This paper explores how trade integration influences the decision by national governments to bailout manufacturing firms. We develop a 2-country model of generalized oligopoly with heterogenous firms and trade costs. High-cost firms are eligible for a bailout while low-cost firms are profitable. Our results show that trade liberalization influences both political benefits of a bailout and its relative cost as compared to a laissez-faire policy. If the fall in trade cost is so large that it allows high-cost firms to become exporters, governments might move away from a bailout policy to a laissez-faire policy. In contrast, a marginal decline in trade costs that does not affect the export status of high-cost firms, always makes governments more prone to adopt a bailout decision.
New method of analysing self-avoiding walks in four dimensions

A new method based on the concept of fractal dimensionality is used to study the problem of self-avoiding walks in a four-dimensional lattice. The authors find from Monte Carlo simulations that the confluent logarithmic exponent related to the end-to-end distance is 1/8+or-0.01, in excellent agreement with the prediction derived from the n to 0 vector model.
An Intelligent Learning Assistant in Multimedia-based Interactive E-Learning

Web-based educational systems provide students learning opportunities at anytime and anywhere. But most of them lack capability of tailoring the learning materials to meet individual needs. Intelligent Tutoring Systems (ITS) and Adaptive Hypermedia Systems (AHS) have explored solutions to this problem, but they have difficulty to interact with users efficiently. In this paper we introduce a new approach to creating an intelligent learning assistant in our Learning by Asking (LBA) project, a Multimedia-based Interactive e-Learning system, in which we combine ITS and AHS technologies together. Additionally, we use natural language processing to allow users to input questions in conversational English, multimedia materials (video clips) to represent domain knowledge, and case-based reasoning to produce personalized guidance to individual users based on their different questions and learning history. Integrating those techniques together, the intelligent learning assistant in the LBA system features an adaptive two-way communication between users and the system, thus provides a natural learning environment.
A Graph Model for Cross-modal Retrieval

With the rapid growth of multimedia document on the web, cross-modal retrieval has become an important issue. The modality of a query is different from that of the retrieved results in cross-modal retrieval. In this paper, we propose a novel graph model, which not only combines content and semantics similarities through two Markov chains, but also utilizes the interaction between different modalities to attain the whole semantics information of a multimedia document. Content similarity focuses on the original features within each modality, while semantics similarity focuses on the semantic vectors in a common space. Both of them are very significant. Random forests method is used to map the original features into a semantic space. The ranked list for a query is achieved by highlighting an optimal path across the corresponding chain. Experiments on the Wikipedia dataset show that the performance of our model significantly outperforms those of existing approaches for cross-modal retrieval.
EEMD Method and TWSVM for Fault Diagnosis of Roller Bearings

The ensemble empirical mode decomposition (EEMD) is a self-adaptive signal processing technique for nonlinear and non-stationary signals, which can alleviate the mode mixing problem occurring in empirical mode decomposition (EMD). As a improved support vector machine (SVM) method, Twin support vector machine (TWSVM) is a powerful tool for supervised learning, which are successfully applied to classification and regression problems. This paper proposes an effective fault diagnosis method for roller bearings based on EEMD and TWSVM. First, the vibration signals collected from the roller bearings are decomposed using EEMD and intrinsic mode functions (IMF) are produced. Second, the sample entropy of the most IMFs are calculated as the feature of initial signal. At last, these features, as training and recognition samples, are fed into TWSVM to identify the bearing fault conditions. The experiment results show that the proposed method can accurately recognize the bearing normal, inner race, outer race and ball fault under small samples.
Genetic polymorphism of beta-lactoglobulin and alpha-lactoalbumin in Colombian Creole cattle by PCR-SSCP

The Colombian Creole Cattle has showed a preoccupant population decreasing, from 23,415 individuals in 1999 to 20,102 in 2003. Despite that many efforts to recover the creole breeds have been done, its future conservation is unclear. Searching for economic desirable genes may contribute to its preservation and utilization as a genetic resource. Genes related with the improvement of milk proteins are considered as an economic important factor by the dairy industry. With the aim of characterize betalactaglobulin ( O KG and alpha-lactalbumin ( O -G genes, 30 samples from each of the creole breeds (< = ! / > # " ? / > ? / > " ? > > / > @ " / B " D / E @ " G/ "` > ; D 8 # G "` troduced breeds (Holstein and Brahman) were analyzed. A DNA fragment of 262 pb for O K 'JJ for O ! Q>EO@@>Q ` I x ! # O K (A) and O K
Factors Influencing Fruit Profitability at Tshakhuma and Khumbe Markets, Limpopo Province, South Africa

The purpose of the study was to investigate the factors influencing profitability of fruits sold at Tshakhuma and Khumbe Markets in Limpopo Province of South Africa. Some 91 market operators were interviewed, 67 from Tshakhuma and 24 from Khumbe Market. Fruit profitability was influenced by: (1) method of acquisition of the fruits by market operators (own production vs other sources); (2) expenditure on fruit acquisition (increased spending resulted in loss of profit); (3) fruit storage (increased storage resulted in loss of profit), and (4) use of the cooperative approach (associated with increased profit). Socio-economic characteristics of market operators also influenced profitability of sold fruits. The characteristics for market operators were described in terms of: (a) gender, where majority of operators (91.2%) were women, (b) age with 80% ≤ 60 years old and (c) household size that were mostly large (6-7 persons) and provided for family labour. Low levels of education necessitate training for increased fruit profitability.
A global map of urban extent from nightlights

Urbanization, a major driver of global change, profoundly impacts our physical and social world, for example, altering not just water and carbon cycling, biodiversity, and climate, but also demography, public health, and economy. Understanding these consequences for better scientific insights and effective decision-making unarguably requires accurate information on urban extent and its spatial distributions. We developed a method to map the urban extent from the defense meteorological satellite program/operational linescan system nighttime stable-light data at the global level and created a new global 1 km urban extent map for the year 2000. Our map shows that globally, urban is about 0.5% of total land area but ranges widely at the regional level, from 0.1% in Oceania to 2.3% in Europe. At the country level, urbanized land varies from about 0.01 to 10%, but is lower than 1% for most (70%) countries. Urbanization follows land mass distribution, as anticipated, with the highest concentration between 30° N and 45° N latitude and the largest longitudinal peak around 80° W. Based on a sensitivity analysis and comparison with other global urban area products, we found that our global product of urban areas provides a reliable estimate of global urban areas and offers the potential for producing a time-series of urban area maps for temporal dynamics analyses.
Partial averaging in classical S-matrix theory. Vibrational excitation of H2 by He

Within the framework of a general semiclassical theory that combines exact classical dynamics and quantum superposition it is shown how a certain averaging procedure allows one to treat some degrees of freedom in a strictly classical sense while others are quantized semiclassically. This enormously simplifies the application of the theory to three-dimensional collision systems and also leads to an interesting formal structure in the theory: the quantum-like degrees of freedom are quantized semiclassically via use of double-ended boundary conditions, while the unquantized classical-like degrees of freedom enter only through a phase space average over their initial coordinates and momenta. Preliminary results for vibrational excitation of H2 by He are presented and compared with available quantum mechanical calculations.
Home Bias among European Students

Home bias in international trade and finance has been deeply investigated in both theoretical and applied studies. Nonetheless, we do not possess so far any experimental and/or survey assessment of the phenomenon. This paper fills this gap and examines home (and European) bias from survey data based on questionnaires handed out to university students of eleven European countries. Uneven evidence of home and European biases has been found across distinct economic decisions in some individual attitudes.