Miracle-dz/UniFAR-FTUs huggingface dataset:
Visionary Leadership for Management of Innovative Higher Education Institutions: Leadership Trajectories in a Changing Environment

The study sought to explore the paths that leadership can take to come up with meet innovative changes in the higher education landscape. Most people look upon leadership in higher education to inject solutions to employment problems that are in society. It is through an innovative curriculum that such changes can take place. In such an environment, there is need for leadership with a vision. The kind of paths that leadership should follow to meet such changes is the object of this paper. The study was qualitative by nature and employed the case study design. Semi-structured interviews and open-ended questionnaires were used as the main data generation tools. A convenience sample of 10 lecturers and 27 students was made. The major findings of the study were that leadership requires skills to bring in curriculum change and innovation. Leadership should have the ability of creating an organisational work culture that makes every one think of ways of doing work in new ways. The need to encourage academic professional development was highlighted as a useful path to take by a visionary leader. Learning should comprise of programmes that meet both the formal and informal sector market. There is need for leadership support through motivational strategies, introduction of ICT and creating a conducive climate for innovation as useful paths. Keywords: leadership trajectories; management; innovative programmes; change; visionary leadership; higher education institutions
Reimagining the Design in the Middle Earth: From Design Driven Innovation to Design Boosted Cultural Heritage

The present paper aims to discuss one possible dimension of crosspollination, the one emerging from the overlap between the domain of arts and that of management. This paper intends to investigate how a re-imagined design process of cultural-sensitive products, those with cultural codes embedded, could develop new avenues for business and social value, boosting as a long term value the Cultural HeritageOs growth. More specifically, the present paper proposes the analysis and interpretation of an open innovation project launched by the Rijks Museum and joined by Droog. Using the data which emerged from this experience, the work proposes a model of sustainable cultural development, opening a new perspective on the relationship between cultural and creative industries.
Valuation of spectrum for mobile broadband services: Engineering value versus willingness to pay

Radio spectrum is a vital asset and resource for mobile network operators. With spectrum in the 800 and 900 MHz bands coverage can be provided with fewer base station sites compared to higher frequency bands like 2.1 and 2.6 GHz. With more spectrum, i.e. wider bandwidth, operators can offer higher capacity and data rates. Larger bandwidths means that capacity can be provided with fewer base station sites, i.e. with lower cost. Operators that acquire more spectrum in existing or new bands can re-use existing sites for capacity build out. Engineering value is one way to estimate the marginal value of spectrum. The calculation of engineering value is based on comparison of different network deployment options using different amounts of spectrum. This paper compare estimates of engineering value of spectrum with prices paid at a number of spectrum auctions, with a focus on Sweden. A main finding is that estimated engineering value of spectrum is much higher than prices operators have paid at spectrum auctions during the last couple of years. The analysis also includes a discussion of drivers that determine the willingness to pay for spectrum.
CAPITAL FLOW VOLATILITY AND EXCHANGE RATES-- THE CASE OF INDIA

This paper examines the relationship between the real exchange rate, level of capital flows, volatility of the flows, fiscal and monetary policy indicators and the current account surplus for the Indian economy for the period 1993Q2 to 2004Q1. The estimations indicate that the variables are cointegrated and each granger causes the real exchange rate. The generalized variance decompositions show that determinants of the real exchange rate, in descending order of importance include net capital inflows and their volatility (jointly), government expenditure, current account surplus and the money supply. A preliminary analysis suggests that a similar analysis can be performed for the foreign exchange reserves held by the RBI.
MODERN WEB 2.0 TOOLS FOR EDUCATIONAL ASTRONOMY

In the framework of the GLORIA (GLObal Robotic-telescopes Intelligent Array) project, we present an overview of what we believe are the best web technologies that can be applied to build browser-based educational tools. A step-by-step code tutorial will help the reader to understand how this result can be achieved. We also present these concepts in two websites for educational purposes. The first one uses real images of the Sun taken during the last transit of Venus (June 2012). Students can use these images to calculate the Sun-Earth distance. The second one makes use of meteorological data taken in Australia during the last total solar eclipse (November 2012) to interactively calculate the time lag between observed changes in luminosity and ambient temperature.
Real-time Segmentation of Drivable Area Using Supervised Learning

Supervised learning is used to determine the driving range of images in self-driving. However, conventional methods cannot be used for actual vehicle driving due to their low accuracy and high computational time. Therefore, in this paper, we propose methods to address these problems by, i) simplification of class, ii) image resizing and iii) transmitting frequency tuning
Title Collaboration interface in Smart Metering Scheme

Smart meter provides intelligence to serve demand side management. The development of electrical-load-signature technology provides an effective base to enable condition-based monitoring and energy-collaboration management among stakeholders. In a smart metering scheme, the three direct contributors are supplier, estate manager and consumer. Affiliated members are appliance manufacturers and sustainability managers. It is perceived that when a platform can be developed to permit members sharing information, trading benefits, and recommending energy plans. The development of a collaboration interface is to assist the principal members in supporting each other as neighboring aide in these activities. This paper discusses on philosophies and models that shall develop the concepts; and shares the development of this interface.
Forcibly-biconnected Graphical Degree Sequences: Decision Algorithms and Enumerative Results

We present an algorithm to test whether a given graphical degree sequence is forcibly biconnected. The worst case time complexity of the algorithm is shown to be exponential but it is still much better than the previous basic algorithm for this problem. We show through experimental evaluations that the algorithm is eﬃcient on average. We also adapt the classic algorithm of Ruskey et al. and that of Barnes and Savage to obtain some enumerative results about forcibly biconnected graphical degree sequences of given length n and forcibly biconnected graphical partitions of given even integer n . Based on these enumerative results we make some conjectures such as: when n is large, (1) the proportion of forcibly biconnected graphical degree sequences of length n among all zero-free graphical degree sequences of length n is asymptotically a constant C (0 < C < 1); (2) the proportion of forcibly biconnected graphical partitions of even n among all forcibly connected graphical partitions of n is asymptotically 0.
Fast Domain Adaptation of Semantic Parsers via Paraphrase Attention

Semantic parsers are used to convert user’s natural language commands to executable logical form in intelligent personal agents. Labeled datasets required to train such parsers are expensive to collect, and are never comprehensive. As a result, for effective post-deployment domain adaptation and personalization, semantic parsers are continuously retrained to learn new user vocabulary and paraphrase variety. However, state-of-the art attention based neural parsers are slow to retrain which inhibits real time domain adaptation. Secondly, these parsers do not leverage numerous paraphrases already present in the training dataset. Designing parsers which can simultaneously maintain high accuracy and fast retraining time is challenging. In this paper, we present novel paraphrase attention based sequence-to-sequence/tree parsers which support fast near real time retraining. In addition, our parsers often boost accuracy by jointly modeling the semantic dependencies of paraphrases. We evaluate our model on benchmark datasets to demonstrate upto 9X speedup in retraining time compared to existing parsers, as well as achieving state-of-the-art accuracy.
Vector singularities of the combined beams assembled from mutually incoherent orthogonally polarized components

It is shown that, for an incoherent superposition of the orthogonally polarized laser beams, the vector singularities of a specific type arise at the transversal cross section of a paraxial combined beam instead of common singularities, such as amplitude zeros or optical vortices (inherent in scalar, i.e. homogeneously polarized, fields), and C points, where polarization is circular, and L lines, along which polarization is linear (inherent in completely coherent vector, i.e. inhomogeneously polarized fields). There are U lines (closed or closing at infinity) along which the degree of polarization equals zero and the state of polarization is undetermined, and isolated P points where the degree of polarization equals unity and the state of polarization is determined by the non-vanishing component of the combined beam. U surfaces and P lines correspond to such singularities in three dimensions, by analogy with L surfaces and C lines in three-dimensional completely coherent vector fields. P lines directly reflect the snake-like distortions of a wavefront of the singular component of the combined beam. Crossing of the U line (surface) is accompanied by a step-like change of the state of polarization onto the orthogonal one. U and P singularities are adequately described in terms of the complex degree of polarization with the representation at the Stokes space, namely at and inside of the Poincare sphere. The conditions of topological stability of U and P singularities are discussed, as well as the peculiarities of the spatial distribution of the degree of polarization in the closest vicinity to such singularities. Experimental examples of reconstruction of the combined beam's vector skeleton formed by U and P singularities as the extrema of the complex degree of polarization are given. Comparison with the related investigations is provided.
Low-Frequency Components and the weekend Effect Revisited: Evidence from Spectral Analysis

We revisit the well-known weekend anomaly (Gibbons and Hess, 1981; Harris, 1986; Smirlock and Straks, 1986; Connolly, 1989; Giovanis, 2010) using an established macroeconometric technique known as spectral analysis (Granger, 1964; Sargent, 1987). Our findings show that using regression analysis with dichotomous variables, spectral analysis helps establishing the robustness of the estimated parameters based on a sample of the SP Grune and Semmler, 2008; Semmler et al., 2009). We suggest investment practitioners to consider using spectral analysis for establishing the ‘stylized facts’ of the financial time series under scrutiny and for regression models validation purposes.
Deep Total Variation Support Vector Networks

Support vector machines (SVMs) have been successful in solving many computer vision tasks including image and video category recognition especially for small and mid-scale training problems. The principle of these non-parametric models is to learn hyperplanes that separate data belonging to different classes while maximizing their margins. However, SVMs constrain the learned hyperplanes to lie in the span of support vectors, fixed/taken from training data, and this reduces their representational power and may lead to limited generalization performances. In this paper, we relax this constraint and allow the support vectors to be learned (instead of being fixed/taken from training data) in order to better fit a given classification task. Our approach, referred to as deep total variation support vector machines, is parametric and relies on a novel deep architecture that learns not only the SVM and the kernel parameters but also the support vectors, resulting into highly effective classifiers. We also show (under a particular setting of the activation functions in this deep architecture) that a large class of kernels and their combinations can be learned. Experiments conducted on the challenging task of skeleton-based action recognition show the outperformance of our deep total variation SVMs w.r. t different baselines as well as the related work.
Title Repeated Mild Closed Head Injuries Induce Long-Term White Matter Pathology and Neuronal Loss That Are Correlated With Behavioral Deficits Permalink

An estimated 5.3 million Americans are living with a disability from a traumatic brain injury (TBI). There is emerging evidence of the detrimental effects from repeated mild TBIs (rmTBIs). rmTBI manifests its own unique set of behavioral and neuropathological changes. A subset of individuals exposed to rmTBI develop permanent behavioral and pathological consequences, defined postmortem as chronic traumatic encephalopathy. We have combined components of two classic rodent models of TBI, the controlled cortical impact model and the weight drop model, to develop a repeated mild closed head injury (rmCHI) that produces long-term deficits in several behaviors that correlate with neuropathological changes. Mice receiving rmCHI performed differently from 1-hit or sham controls on the elevated plus maze; these deficits persist up to 6 months postinjury (MPI). rmCHI mice performed worse than 1-hit and control sham mice at 2 MPI and 6 MPI on the Morris water maze. Mice receiving rmCHI exhibited significant atrophy of the corpus callosum at both 2 MPI and 6 MPI, as assessed by stereological volume analysis. Stereological analysis also revealed significant loss of cortical neurons in comparison with 1-hit and controls. Moreover, both of these pathological changes correlated with behavioral impairments. In human tau transgenic mice, rmCHI induced increases in hyperphosphorylated paired helical filament 1 tau in the hippocampus. This suggests that strategies to restore myelination or reduce neuronal loss may ameliorate the behavioral deficits observed following rmCHI and that rmCHI may model chronic traumatic encephalopathy in human tau mice.
THE EFFECT OF PRESCRIPTIVE RULES AND INSTRUCTIONS ON THE GRAMMATICALITY JUDGMENT TASK

THE EFFECT OF PRESCRIPTIVE RULES AND INSTRUCTIONS ON THE GRAMMATICALITY JUDGMENT TASK Author: Parker T. Robbins, B.S. in Linguistics Project Advisor: Heather Littlefield, Ph.D., Linguistics Program Second Reader: Adam Cooper, Ph.D., Linguistics Program Department: Linguistics Program, College of Science
Efficacy of Cognitive Behavior Therapy among Caregivers of Dementia: An Outcome Study

This study was aimed to evaluate the effectiveness of cognitive behavior therapy in reducing caregiver burden and anger as well as improving the physical and mental health among the caregivers of patients with dementia of Alzheimer’s type in Pakistani culture. Using the within-subjects design, a sample of eight participants was selected through purposive sampling from psychiatric and neurology clinics in Lahore, Pakistan. Therapeutic intervention was comprised of ten sessions conducted over a period of 5-8 weeks. The main techniques used were psychoeducation, eliciting cognitive distortions, cost-benefit analysis, pie chart, evidence for and against, problem solving, relaxation training, guided imagery, stress management, nutrition education, sleep hygiene, time management, and physical activities. Pre and postassessment was done by using Burden Assessment Scale (Reinhard, Gubman, Horwitz, and Minsky, 1994), General Health Questionnaire-28 (Goldberg, 1972), and State-Trait Anger Expression Inventory (Spielberger, 1999). Descriptive statistics for demographic variables and paired samples t-test were used to analyze the data. The results indicated that the therapeutic intervention significantly reduced caregiver’s perceived subjective and objective burden, anger, and significantly improved physical and mental health. The results of this study point towards the need for devising therapeutic intervention specific to caregivers of patients with dementia and other psychiatric illnesses.
Title The effectiveness of somatization in communicating distress inKorean and American cultural contexts

Right © 2016 Choi, Chentsova-Dutton and Parrott. This is an openaccess article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. Type Journal Article
Economic Growth and Intangible Capitals: Europe versus Asia

At present, the international growth model includes important restrictions about the consideration of GDP as a unique tool for measurement. In this sense, taking into consideration the wealth of a country, we must add intangibles such as human development, country image, employment conditions, environmental, innovation, public sector efficiency, and synergies to the variable production, which is defined as national intellectual capital. In this paper, we use a mathematical model of intellectual capital to determine, in monetary terms, the intangible elements that have a greater impact on long-term economic development in European and Asian countries. We have the main limitation of available information and we provide objective results using statistical method. By identifying these components, countries will be able to redirect their policies toward achieving sustainable long-term growth. The results show that the long-term growth of both continents are strongly dependent on the skills of their human resources, but register differences in structural factors such as trade, innovation, or environment.
Role of Adipose Tissue Nutrient / Vitamin Metabolism in Physiological and Altered Metabolic Settings Glucose-dependent insulinotropic polypeptide promotes lipid deposition in subcutaneous adipocytes in obese type 2 diabetes patients : a maladaptive response X

X Sravan K. Thondam, Christina Daousi, John P. H. Wilding, Jens J. Holst, Gulizar I. Ameen, Chenjing Yang, Catherine Whitmore, Silvia Mora, and Daniel J. Cuthbertson Obesity and Endocrinology Research Group, University Hospital Aintree, Liverpool, United Kingdom; Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool, United Kingdom; Department of Cellular and Molecular Physiology University of Liverpool, Liverpool, United Kingdom; and NovoNordisk Foundation Center for Basic Metabolic Research and Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
Generational differences in workplace motivation

Orientation: Despite increasing age diversity in the workforce, organisations still know relatively little about how potentially diverging motivational needs of the various generations might influence motivational strategies and organisational performance.Research purpose: To explore the relationship between multigenerational workforces and employee motivation within a South African workplace setting from a self-determination theory perspective.Motivation for the study: The pursuit of performance excellence requires an understanding of the enablers of optimal performance. In South Africa, the workplace landscape is changing fast as younger generations are joining the workforce in rapidly growing numbers. These younger employees are often believed to differ quite drastically from the older generations in terms of their values and priorities, which necessitates a deeper understanding of the motivational drivers of the different cohorts as these manifest within a workplace environment.Research approach/design and method: A cross-sectional survey approach and a quantitative research design were used (N = 164). Two questionnaires founded on self-determination theory were administered, namely the Work-Related Basic Need Satisfaction Scale and the Work Extrinsic and Intrinsic Motivation Scale.Main findings: Findings contradict the popular notion that generational cohorts differ significantly from each other in terms of diverging intrinsic and extrinsic motivational preferences that may influence their behaviour at work. With regard to the degrees of satisfaction of the basic psychological needs that drive autonomous, intrinsically motivated behaviour specifically, no practically significant differences were found either. There was, however, one notable difference, namely in the indicated degree of satisfaction of the psychological need for autonomy between Generation Y and Generation X cohorts.Practical/managerial implications: Management is advised to cultivate a motivational climate that promotes autonomously motivated behaviour in general and to focus on specific known individual motivational preferences that may exist within groups rather than approaching generational cohorts as homogenous groups.Contribution/value-add: This study contributes to the limited research regarding similarities and differences in the intrinsic versus extrinsic motivational stance of three different generations as these manifest within a workplace setting in an emerging economy country. Findings afford management insight into motivational processes that are most influential among generational cohorts and assist them in adapting suitable motivational strategies that can ultimately improve retention of valued employees.
Protocol of systematic review and meta-analysis on the epidemiology and risk factors of dengue shock syndrome 1

1 Department of Immunogenetics, Institute of Tropical Medicine (NEKKEN), Nagasaki University, Nagasaki, Japan 2 BBB Laboratory, PharmaCo-Cell Co. Ltd., 1-12-4 Sakamoto, Nagasaki 3 Wellcome Trust Major Overseas Programme, Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam 4 Hospital for Tropical Diseases, Ho Chi Minh City, Vietnam 5 Clinical Biostatistics Unit, Ramón y Cajal Hospital and CIBER Epidemiologia y Salud Publica (CIBERESP), Spain 6 Global COE program, Nagasaki University, Japan Correspondence to: Professor Kenji Hirayama, Email: hiraken@nagasaki-u.ac. jp
Part of Speech Tagging Using Hidden Markov Model and Viterbi Algorithm

Part-of-Speech tagging is the process of assigning parts of speech (or other classifiers) to the words in a text. In this research , we introduce a tagging algorithm for English sentences based on Viterbi Algorithm and Hidden Markov Model. In traditional part-of-speech taggers, the calculations requires (2T+1)*N T+1 multiplications if we used the direct computation. After enhancing the method of calculating, we get the optimal tags sequence by just 2N 2 T multiplications.
Numerical Simulation of Flow Instabilities during the Rise of a Bubble in a Viscous Liquid

In this paper, the flow instabilities during the rise of a single bubble in a narrow vertical tube are studied using a transient 2D/axisymmetric model. These instabilities include the oscillation of the bubble shape and formation of a wake behind it. In the model, the Navier-Stokes equations in addition to an advection equation for liquid volume fraction are solved. A modified Volume-of-Fluid (VOF) technique based on Youngs’ algorithm is used to track the liquid/gas interface. The numerical results are validated by a comparison with available measurements. The effect of different parameters such as tube and bubble diameters, and liquid properties are investigated.