Miracle-dz/UniFAR-FTUs huggingface dataset:
Transformational leadership and employee organisational commitment in a rural-based higher education institution in South Africa

Orientation: Transformation is a topical issue in South African higher education institutions. The slow and sluggish progress in attempts to transform the sector can be attributed to leadership and commitment of staff in these institutions.Research purpose: The study investigated perceptions of employees and managers on the connection between transformational leadership style and employee organisational commitment in a selected rural-based higher education institution in South Africa.Motivation for the study: This study was conducted to determine whether a perceived lack or the presence of transformational leadership style influences the level of organisational commitment of academic and non-academic staff members of a rural-based university. It is believed that in this way, the study may assist in determining and identifying the strategies to be used to improve the commitment of the staff members to attain the much needed transformation in higher education institutions.Research design, approach and method: A self-administered questionnaire was used to gather data following a quantitative research design. The target population was divided into academic and non-academic strata. Pearson product moment correlation and multiple regression analysis were performed.Main findings: The study found that transformational leadership style has a positive and significant relationship with affective commitment and moderate relationship with continuance commitment. On the contrary, it had no relationship with normative commitment. The study further revealed that perceived transformational leadership style explained the variance on employee organisational commitment. Therefore, the study concludes that effects of perceived transformational leadership style on employee commitment cannot be the same in different institutions and settings.Practical and managerial implications: The study recommends that each institution should diagnose its situation for a better pictorial view of how transformational leadership affects employee organisational commitment in their organisation.Contribution: The results of the study may assist leaders and employees in higher education institutions to enhance commitment for both academic and non-academic staff members through transformative leadership style to attain transformational goals of the South African higher education institutions as projected by the national government. Furthermore, this study will ensure the promotion and creation of transformative leaders who are adaptive and proactive in dealing with challenges of transformation in the former ‘black’ higher education institutions in South Africa and who also have staff members committed to this higher education transformation agenda.
Online Trust Mechanisms: A Domain Study of Online Auctions

This research investigates mechanisms that impact trust at online auctions. A qualitative study is discussed within this paper to identify mechanisms that impact trust at online auctions. The mechanisms identified are discussed within normative and grounded theoretical approaches to trust. A result of this discussion I seek to answer the question: what factors do people perceive as important to increase online trust prior to an online transaction? This discussion will help professionals understand the factors that emerge from normative and grounded theoretical approaches to online trust research. A better understanding of online trust adds to the body of theory and can be used to improve the design of online auctions.
The original Michaelis constant: translation of the 1913 Michaelis-Menten paper.

Nearly 100 years ago Michaelis and Menten published their now classic paper [Michaelis, L. , and Menten, M. L. (1913) Die Kinetik der Invertinwirkung. Biochem. Z. 49, 333-369] in which they showed that the rate of an enzyme-catalyzed reaction is proportional to the concentration of the enzyme-substrate complex predicted by the Michaelis-Menten equation. Because the original text was written in German yet is often quoted by English-speaking authors, we undertook a complete translation of the 1913 publication, which we provide as Supporting Information . Here we introduce the translation, describe the historical context of the work, and show a new analysis of the original data. In doing so, we uncovered several surprises that reveal an interesting glimpse into the early history of enzymology. In particular, our reanalysis of Michaelis and Menten's data using modern computational methods revealed an unanticipated rigor and precision in the original publication and uncovered a sophisticated, comprehensive analysis that has been overlooked in the century since their work was published. Michaelis and Menten not only analyzed initial velocity measurements but also fit their full time course data to the integrated form of the rate equations, including product inhibition, and derived a single global constant to represent all of their data. That constant was not the Michaelis constant, but rather V(max)/K(m), the specificity constant times the enzyme concentration (k(cat)/K(m) × E(0)).
Cross-language synthesis with a polyglot synthesizer

In this paper we examine the use of an HMM-based polyglot synthesizer for languages for which very limited or no speech data is available. In a former study, we presented a system that combines monolingual corpora from several languages to create a polyglot synthesizer. With this synthesizer we can synthesize any of the languages included in the training data with the same output voice and speech quality. In this paper, we approximate the sounds of non-included languages, by those available in the polyglot training data. Since the phonetic inventory of a polyglot synthesizer is wider than that of a monolingual one, the approximation of such non-included sounds becomes more accurate and thus the perceptual intelligibility increases. Moreover, the performance of a polyglot synthesizer can be further improved by adding a reduced amount of data from the target language.
Genetic Approach for Optimizing Ensembles of Classifiers

An ensemble of classifiers is a set of classifiers whose predictions are combined in some way to classify new instances. Early research has shown that, in general, an ensemble of classifiers is more accurate than any of the single classifiers in the ensemble. Usually the gains obtained by combining different classifiers are more affected by the chosen classifiers than by the used combination. It is common in the research on this topic to select by hand the right combination of classifiers and the method to combine them, but the approach presented in this work uses genetic algorithms for selecting the classifiers and the combination method to use. Our approach, GA-Ensemble, is inspired by a previous work, called GA-Stacking. GA-Stacking is a method that uses genetic algorithms to find domain-specific Stacking configurations. The main goal of this work is to improve the efficiency of GAStacking and to compare GA-Ensemble with current ensemble building techniques. Preliminary results have show that the approach finds ensembles of classifiers whose performance is as good as the best techniques, without having to set up manually the classifiers and the ensemble method.
Theil-Based Countermeasure against Interest Flooding Attacks for Named Data Networks

NDN has been widely regarded as a promising representation and implementation of information- centric networking (ICN) and serves as a potential candidate for the future Internet architecture. However, the security of NDN is threatened by a significant safety hazard known as an IFA, which is an evolution of DoS and distributed DoS attacks on IP-based networks. The IFA attackers can create numerous malicious interest packets into a named data network to quickly exhaust the bandwidth of communication channels and cache capacity of NDN routers, thereby seriously affecting the routers' ability to receive and forward packets for normal users. Accurate detection of the IFAs is the most critical issue in the design of a countermeasure. To the best of our knowledge, the existing IFA countermeasures still have limitations in terms of detection accuracy, especially for rapidly volatile attacks. This article proposes a TC to detect the distributions of normal and malicious interest packets in the NDN routers to further identify the IFA. The trace back method is used to prevent further attempts. The simulation results show the efficiency of the TC for mitigating the IFAs and its advantages over other typical IFA countermeasures.
Leaderless and leader-following consensus for networked mobile manipulators with communication delays

This paper studies leaderless and leader-following consensus problems for a network of non-holonomic mobile manipulators under time delays. Firstly, the issue of communication delays, dynamic uncertainties, and inevitable external disturbances are taken into account for leaderless consensus. In order to increase applicability, a leader-following consensus controller is developed for networked mobile manipulators to track a virtual leader. With a topology having a spanning tree, the group of mobile manipulators can achieve consensus in the task space when only a portion of the robots have access to the virtual leader. Moreover, collision avoidance and formation control are considered in the consensus problem with time-varying communication delays. Numerical examples are proposed to demonstrate the performance of the developed consensus control algorithms.
Evaluating impact of entrepreneurship education programs

Purpose The purpose of this paper is to evaluate the impact of Entrepreneurship Education Programs (EEPs) from students’ and educators’ viewpoint to improve the quality of EEPs. Design/methodology/approach This research applies a qualitative-quantitative methodology. Its sample is included 291 students were selected randomly and 35 educators were chosen by convenience technique from universities of Applied Science and Technology of Iran. Findings The results revealed that essence of EEPs had a positive direct effect on objectives and content of EEPs; objectives and content of EEPs had a positive direct effect on methods of EEPs; essence of EEPs had a positive direct effect on impact of EEPs; and essence of EEPs had a positive indirect effect on methods through objectives and content based on students’ and educators’ perspective. Moreover, as opposed to educators’, students believed that methods of EEPs have not a positive direct effect on impact, while educators were opponent to students approach about the positive direct effect of essence of EEPs on methods. Research limitations/implications The study was limited to Applied Science and Technology universities were selected by convenience sampling method. Similar studies in other universities are needed to be conducted by simple random sampling to evaluate EEPs. Practical implications The study recommends policy-makers to be aware of students’ needs of EEPs’ methods, as well inform educators about effective and initiative methods. Originality/value Evaluating impact of EEPs based on demand and supply-side viewpoint is the first study conducted in Applied Science and Technology universities of Iran.
Adaptation of Models to Evolving Metamodels

The problem of automatic or semi-automatic adaptation of models to their evolving metamodels is gaining importance in the Model-Driven community. Recent approaches propose to adapt models using predefined information (i.e., a trace of changes). Unfortunately, this information is not always available in practice. In many situations metamodels evolve without keeping track of the applied changes. We propose a more general two step solution. First step computes equivalences and differences between the metamodels and saves these into a ``weaving model''. This weaving model acts as a high-level specification of adaptation transformation. Second step translates this model into an executable transformation. This technical report shows the results obtained in applying the approach on two concrete scenarios: a Petri net metamodel, and the Netbeans Java metamodel.
Emotional Intelligence And Job Satisfaction. How Do They Work Together

Emotional intelligence has required a lot of attention in the past years. Starting with the first mention of emotional intelligence in the doctoral thesis of Wayne Payne in 1985 and moving forward to the well known models developed by the researchers as K.V. Petrides (2001) Mayer and Salovey (2001) and Daniel Goleman (1995), this subject has been well studied and debated. This research is following the model of K. V. Petrides, the Trait model, and is also developing a method of measuring job satisfaction in accordance with emotional intelligence. The instrument presented here starts from combining the current models of job satisfaction with the Trait model of emotional intelligence, using the same scale as Petrides used for his TEIQue. This research method is developed in order to measure the level of emotional intelligence of university professors and the job satisfaction level in accordance with the emotional intelligence that students are proving. The objective of this study is to verify the research metod developed, and its utility. The hipothesis of this research are: a)professors with high levels of emotional intelligence are more satisfied about their jobs;b) students with high levels of emotional intelligence are more satisfied about their professors and the learning environment. The respondents involved in this research are professors working for one of the most prestigious Universities in Romania, Bucharest University of Economic Studies and their students. The results of this study lead the major research on a new level of investigating the connections between emotional intelligence and job satisfaction within the student-professor relationship.
Magnetometer Calibration Using Kalman Filter Covariance Matrix for Online Estimation of Magnetic Field Orientation

The inertial/magnetic measurement units are an affordable instrument for the determination of orientation. The sensors embedded in the system are affected by nonidealities that can be greatly compensated by proper calibration, by determining sensor parameters, such as bias, misalignment, and sensitivity/gain. This paper presents an online calibration method for a three-axial magnetometer using a 3-D Helmholtz coil. The magnetometer is exposed to different directions of the magnetic field created by the 3-D coil. The parameters are estimated by using an unscented Kalman filter. The directions are calculated online by using a sensor parameter covariance matrix. The method evaluation is achieved by first running numerous simulations, followed by experiments using a real magnetometer, finally resulting in better accuracy of parameter estimation with a low number of measurement iterations compared with the method where magnetic field directions are determined manually.
A Novel Cryptic Three-Way Translocation t(2;9;18)(p23.2;p21.3;q21.33) with Deletion of Tumor Suppressor Genes in 9p21.3 and 13q14 in a T-Cell Acute Lymphoblastic Leukemia

Acute leukemia often presents with pure chromosomal resolution; thus, aberrations may not be detected by banding cytogenetics. Here, a case of 26-year-old male diagnosed with T-cell acute lymphoblastic leukemia (T-ALL) and a normal karyotype after standard GTG-banding was studied retrospectively in detail by molecular cytogenetic and molecular approaches. Besides fluorescence in situ hybridization (FISH), multiplex ligation-dependent probe amplification (MLPA) and high resolution array-comparative genomic hybridization (aCGH) were applied. Thus, cryptic chromosomal aberrations not observed before were detected: three chromosomes were involved in a cytogenetically balanced occurring translocation t(2;9;18)(p23.2;p21.3;q21.33). Besides a translocation t(10;14)(q24;q11) was identified, an aberration known to be common in T-ALL. Due to the three-way translocation deletion of tumor suppressor genes CDKN2A/INK4A/p16, CDKN2B/INK4B/p15, and MTAP/ARF/p14 in 9p21.3 took place. Additionally RB1 in 13q14 was deleted. This patient, considered to have a normal karyotype after low resolution banding cytogenetics, was treated according to general protocol of anticancer therapy (ALL-BFM 95).
Predicting Dangerous Seismic Events: AAIA'16 Data Mining Challenge

This paper summarizes AAIA'16 Data Mining Challenge: Predicting Dangerous Seismic Events in Active Coal Mines which was held between October 5, 2015 and March 4, 2016 at the Knowledge Pit platform. It describes the scope and background of this competition and explains our research objectives which motivated the specific design of the competition rules. The paper also briefly overviews the results of this challenge, showing the way in which those results can help in solving practical problems related to the safety of miners working underground. In particular, our analysis focuses on applications of prediction models in order to facilitate the assessment of seismic hazards, in a situation when the exploration of a given working site has just started and there is very little historical data available.
The SK-II #changedestiny campaign and the limits of commodity activism for women’s equality in neo/non-liberal China

ABSTRACT This article examines one market-based intervention to combat gender discrimination in China, beauty brand SK-II’s #changedestiny campaign, and in particular an accompanying video, Marriage Market Takeover, which attempts to challenge the cultural stigma of “leftover women” (single women over 25). By mobilizing affect and highlighting the self-optimizing subject, SK-II, through the #changedestiny campaign, positions itself as a key instigator of women’s empowerment, and ultimately of not only familial, but also societal, change. In this regard, it follows the logic of what Banet-Weiser and Mukherjee (in Commodity activism: Cultural resistance in neoliberal times [NYU Press, 2012]) call commodity activism, or the merging of consumer behavior with efforts at social change within neoliberal brand culture. However, in a context we call “neo/non-liberal China,” modes of authoritarian and therapeutic governance intersect, and consumer subjects, not consumer citizens, are encouraged. We argue that through offering resistance to, and a resolution situated within familial relationships, the #changedestiny campaign does little to challenge the patriarchal “leftover women” discourse. We further argue that gender discrimination is raised in the #changedestiny campaign as a way to rationalize a neoliberal emphasis on consumption, self-care, and personal fulfillment, and that ultimately gender—as well as class—norms are reaffirmed despite the campaign’s efforts to promote meaningful social change.
Online Detecting and Predicting Special Patterns over Financial Data Streams

Online detecting special patterns over financial data streams is an interest- ing and significant work. Existing many algorithms take it as a subsequence similarity matching problem. However, pattern detection on streaming time series is naturally ex- pensive by this means. An efficient segmenting algorithm ONSP (ONline Segmenting and Pruning) is proposed, which is used to find the end points of special patterns. Moreover, a novel metric distance function is introduced which more agrees with hu- man perceptions of pattern similarity. During the process, our system presents a pat- tern matching algorithm to efficiently match possible emerging patterns among data streams, and a probability prediction approach to predict the possible patterns which have not emerged in the system. Experimental results show that these approaches are effective and efficient for online pattern detecting and predicting over thousands of financial data streams.
Left-Hemisphere-Dominant SII Activation after Bilateral Median Nerve Stimulation

We used bilateral median nerve stimuli to find out possible hemispheric dominance in the activation of the second somatosensory cortex, SII. Somatosensory evoked fields (SEFs) were recorded from 14 healthy adults (7 right-handed, 7 left-handed) with a 306-channel neuromagnetometer. Electrical stimuli were applied once every 3 s simultaneously either to the left and right median nerves at the wrists or to the palmar skin of both thumbs. Sources of SEFs were modeled with four current dipoles, located in the SI and SII cortices of both hemispheres. The SI activation strengths did not differ between the hemispheres, whereas the SII responses were significantly stronger in the left than in the right hemisphere. In right-handers, the left/right SII ratios were 1.9 and 1.8 for wrist and thumb stimuli, respectively. The corresponding values were 1.5 and 1.7 in left-handers. The results indicate handedness-independent functional specialization of the human SII cortices.
The regulated four-parameter one-dimensional point interaction

The general four-parameter point interaction in one-dimensional quantum mechanics is regulated. It allows the exact solution, but not the perturbative one. We conjecture that this is due to the interaction not being asymptotically free. We then propose a different breakup of unperturbed theory and interaction, which now is asymptotically free but leads to the same physics. The corresponding regulated potential can be solved both exactly and perturbatively, in agreement with the conjecture.
White Spruce Growth and Wood Properties over Multiple Time Periods in Relation to Current Tree and Stand Attributes

The relationships between white spruce radial increment and wood properties were investigated in relation to tree and stand attributes using data from mature white spruce stands in the boreal forest of western Canada that experienced a range of shelterwood treatments. The model with the highest predictive ability was radial increment (adj-R2 = 67%) and included crown attributes, diameter at breast height (DBH), average height of competitors, and a climate index. Radial growth was positively related to live crown ratio, whereas wood density and modulus of elasticity were negatively correlated to the crown attribute. Tree slenderness had a significant negative effect on wood density and modulus of elasticity, as it reflects the mechanical stability requirement of the tree. The models consistently improved when using annual averages calculated over longer periods of time. However, when the annual averages were calculated using time periods of 5–10 and 10–20 years prior to sampling, the predictive ability of the models decreased, which indicated that the current tree and stand conditions were the best predictors of growth and wood properties up to five years prior to sampling. This study suggests that crown length equal to 2/3 of the tree height might represent an optimal balance between radial growth and wood quality.
Review of Significant Research on EEG based Automated Detection of Epilepsy Seizures & Brain Tumor

Electroencephalography (EEG) measures the electrical activity of the brain and represents a summation of post- synaptic potentials from a large number of neurons. Over a past few decades many researches all over the world, focusing and working to automate the analysis of EEG signals to identify and categorized the diseases. In this paper, we present a review of the significant researches associated with the automated detection of epileptic seizures and brain tumor using EEG signals.