Miracle-dz/UniFAR-FTUs huggingface dataset:
Leadership Skills and Challenges in Hospitality Management Education

Leadership Skills and Challenges in Hospitality Management Education by Valentini Kalargyrou Dr. Robert H. Woods, Examination Committee Chair Professor of Hotel Management University of Nevada, Las Vegas Leaders in hospitality management education face diverse challenges in today's competitive and changing environment. Evolving demands from superiors, financial challenges, and faculty and students increasing demands, create a turbulent environment in which administrators must thrive. One of the keys in being effective leaders is the application of the necessary leadership skills. Often, administrators are faculty members that do not have leadership experience and mostly their preparation and skill development are almost non-existent, mainly onthe job training. Since, skills are abilities that can be developed formal training must be in place before the entrusting of administrative duties. The purpose of this study is threefold: to examine the required skills that make administrators in hospitality management education effective, study challenges faced by hospitality management administrators, and explore the advantages and disadvantages of hiring professional managers or deans and department chairs in academic leadership positions.
Rapid VLIW Processor Customization for Signal Processing Applications Using Combinational Hardware Functions

This paper presents an architecture that combines VLIW (very long instruction word) processing with the capability to introduce application-specific customized instructions and highly parallel combinational hardware functions for the acceleration of signal processing applications. To support this architecture, a compilation and design automation flow is described for algorithms written in C. The key contributions of this paper are as follows: (1) a 4-way VLIW processor implemented in an FPGA, (2) large speedups through hardware functions, (3) a hardware/software interface with zero overhead, (4) a design methodology for implementing signal processing applications on this architecture, (5) tractable design automation techniques for extracting and synthesizing hardware functions. Several design tradeoffs for the architecture were examined including the number of VLIW functional units and register file size. The architecture was implemented on an Altera Stratix II FPGA. The Stratix II device was selected because it offers a large number of high-speed DSP (digital signal processing) blocks that execute multiply-accumulate operations. Using the MediaBench benchmark suite, we tested our methodology and architecture to accelerate software. Our combined VLIW processor with hardware functions was compared to that of software executing on a RISC processor, specifically the soft core embedded NIOS II processor. For software kernels converted into hardware functions, we show a hardware performance multiplier of up to times that of software with an average times faster. For the entire application in which only a portion of the software is converted to hardware, the performance improvement is as much as 30X times faster than the nonaccelerated application, with a 12X improvement on average.
Towards a Generic Model for AOP (GEMA)

Aspect-oriented programming (AOP) is a new programming paradigm which aims at improving separation of concerns in programs by providing new kind of modules and new ways of composition. AOP aims at extending existing programming paradigms, most often object-oriented programming languages because of their practical relevance, but it is also conceivable for other programming paradigms such as functional or logic programming. To date, many different AOP approaches have been suggested such as Adaptive Programming [21], AspectJ [2], CompositionFilters [31], Hyper/J [16, 29] and JAC [24]. Although other terms like Advanced Separation of Concerns (ASOC) or Multidimensional Separation of Concerns (MDSOC) are also used to describe these approaches, AOP is the most commonly used term when referring to these approaches and we will use it throughout this report.
Evaluation of DFID Development Assistance : Gender Equality and Women ’ s Empowerment Phase II Thematic Evaluation : Gender Violence

Disclaimer The British Government's Department for International Development financed this work as part of the United Kingdom's aid programme. However, the views and recommendations contained in this report are those of the consultant, and DFID is not responsible for, or bound by the recommendations made. DFID recognises gender equality and the empowerment of women as essential both for the elimination of world poverty and the upholding of human rights. Since 1985, we have worked to support this area, as laid out in our Strategy Paper 1. In 2005, the international community will consider progress towards the Millennium Development Goals (MDGs). Many of the hardest-to-reach MDGs are related to gender. Two examples are the goal to reduce deaths in pregnancy and childbirth, which are still unacceptably high, and the goal to increase girls' education, which has been shown to have many positive knock-on effects including on child health and on economic growth. 2005 also marks the 10 th anniversary of the Beijing Declaration and Platform for Action. World leaders will be meeting in March to consider progress towards the goals identified in Beijing. As a contribution to this renewed effort, DFID is currently conducting an evaluation of its policies and practice on gender equality and women's empowerment. The evaluation will provide independent and systematic evidence of the effectiveness of DFID's contribution to international gender equality goals. It will draw lessons from experience to inform our future strategy. This is one of a series of working papers produced in preparation for the main evaluation. These are rapid reviews and provide indicative evidence on eight thematic areas of DFID's work: 1 Poverty Elimination and the Empowerment of Women. This is currently being reviewed and updated. iii Contents Contents Executive summary 1 1 Introduction 3 1.1 The scale of the problem 3 1.2 Rationale 4 1.3 Purpose and methodology 5 1.4 Outline 5 2 Conceptual framework 6 2.1 Definitions 6 2.2 The links between gender-based and other forms of violence 7 2.3 A framework for analysing policy implementation 7 3 Developing an international consensus and understanding of gender violence 9 3.1 United Nations frameworks 9 3.2 DFID gender violence policies and frameworks 9 4 Policy Implementation – normative 11 4.1 Planning systems 11 4.2 Monitoring and evaluation tools 11 4.3 Partnerships with UN and others 12 5. Policy implementation – gender violence within country programmes 14 5. 6 Some issues raised by the case …
The Electric Dipole Moment of $^{13}$C

We calculate for the first time the electric dipole moment (EDM) of $^{13}$C generated by the isovector CP-odd pion exchange nuclear force in the $\alpha$-cluster model, which describes well the structures of low lying states of the $^{13}$C nucleus. The linear dependence of the EDM of $^{13}$C on the neutron EDM and the isovector CP-odd nuclear coupling is found to be $d_{^{13}{\rm C}} = -0.33 d_n - 0.0012 \bar G_\pi^{(1)}$. The linear enhancement factor of the CP-odd nuclear coupling is smaller than that of the deuteron, due to the difference of the structure between the $1/2^-_1$ state and the opposite parity ($1/2^+$) states. We clarify the role of the structure played in the enhancement of the EDM. This result provides good guiding principles to search for other nuclei with large enhancement factor. We also mention the role of the EDM of $^{13}$C in determining the new physics beyond the standard model.
A new metrics selection method for software defect prediction

In the case of metrics-based software defect prediction, an intelligent selection of metrics is one of the key factors that affect the model performance. To solve the problem that only the correlation between software metrics is considered and the issue of redundance is tend to be ignored in the current studies, a new algorithm which combines ReliefF feature selection algorithm and correlation analysis is proposed. An experiment via 3 different classifiers over classic data sets from PROMISE repository is carried out, which is compared to the other two well-known feature selection algorithms. The ANOVA (Analysis of Variance) analysis shows that, a new method called ReliefF-LC (a fusion algorithm based on ReliefF and linear correlation analysis) feature selection algorithm can improve defect prediction performance.
A distributed framework for scaling Up LSH-based computations in privacy preserving record linkage

Privacy Preserving Record Linkage (PPRL) is the scientific field that explores methods of linking datasets in order to identify common entities efficiently and accurately by simultaneously preserving the privacy of the underlying data. In this paper we present a distributed Locality Sensitive Hashing-based framework for linking huge collections of records, by grouping similar records efficiently and by distributing computations among underutilized commodity hardware resources uniformly, without imposing an extra overhead on the existing infrastructure, thus promoting scalability. We also propose two methods of assessing computational cost, aiming to distribute workload evenly among compute nodes.
Emergent properties of HIV risk among injection drug users in Tallinn, Estonia: synthesis of individual and neighbourhood-level factors

Objectives HIV/AIDS risk is embodied within multiple levels including structural and social levels. The aim of this study was to assess the effects of neighbourhood characteristics on HIV prevalence among injection drug users (IDU) residing in the area of Tallinn, Estonia in 2007. Methods A cross-sectional, multilevel design collecting individual-level data—a behaviour survey including data on self-reported residency and HIV antibody testing among 350 IDU and neighbourhood-level data—aggregate measures on socio-demo-economic residential characteristics from the 2000 Estonian census. Geocoding and multilevel modelling analysis was employed. Results Among the 350 IDU recruited, earlier age at first injection, fentanyl as the main injection drug, receptive syringe sharing, main income source other than legal employment and ever attended a syringe exchange programme remained significantly associated with increased odds of anti-HIV positivity in the multivariable analysis involving individual effects with no predictors at the neighbourhood level. In the multilevel model, individual (earlier at IDU initiation AOR 1.86, 95% CI 1.01 to 3.44; injecting opioids AOR 4.43, 95% CI 2.74 to 7.18; receptive syringe sharing AOR 2.51, 95% CI 1.86 to 3.37; main income source other than work AOR 2.04, 95% CI 1.32 to 3.14; ever attended a syringe exchange programme AOR 2.58, 95% CI 1.83 to 3.61) and neighbourhood level (higher unemployment rate AOR 5.95, 95% CI 2.47 to 14.31; greater residential change AOR 1.89, 95% CI 1.09 to 3.26) emerged as significant predictors of individual HIV-positive status. Conclusions Our results indicate that both individual-level and emergent neighbourhood-level factors contribute to HIV risk among IDU and are amenable for preventive interventions.
NEW METALLICITIES OF RR LYRAE STARS INω CENTAURI: EVIDENCE FOR A NON HE-ENHANCED METAL-INTERMEDIATE POPULATION

We present new spectroscopic metal abundances for 74 RR Lyra e stars inω Cen obtained with FLAMES. The well-known metallicity spread is visible among the RR Ly rae variables. The metal-intermediate (MInt) RR Lyrae stars ([Fe /H] ∼ −1.2) are fainter than the bulk of the dominant metal-poor popul ation ([Fe/H] ∼ −1.7), in good agreement with the corresponding zero-age horizont al branch models with cosmological helium abundanceY = 0.246. This result conflicts with the hypothesis that the proge nitors of the MInt RR Lyrae stars correspond to the anomalous blue main-sequence stars, whic h s are a similar metallicity but whose properties are currently explained by assuming for them a large hel ium enhancement. Therefore, in this scenario, the coexistence within the cluster of two different populat ions with similar metallicities ([Fe /H] ∼ −1.2) and different helium abundances has to be considered. Subject headings: techniques: spectroscopic — stars: abundances — stars: Pop ulati n II — stars: variables: RR Lyrae — globular clusters: ω Cen
A Method for Reduced-Reference Color Image Quality Assessment

Most of image quality assessment methods only concern about gray image, and don't make use of image color information sufficiently at present. A method for reduced-reference color image quality assessment is proposed here, which efficiently uses the color information, performs the spatial domain color difference analysis for components H and S, conducts frequency domain distortion analysis for component I transformed by Contourlet. The final image quality assessment is defined by the weighted combination of three components. The experiments show that the proposed objective method has a good coincidence with the subjective perception, and can reflect the image quality effectively.
Automated specification extraction for consolidated product catalogue

This paper aims at the development and implementation of a methodology to extract specifications of products from HTML pages containing product details from various e-commerce portals. The extracted resultant data needs to be in a standardised uniform format without any reflection of its initial structure in source format. The most significant problem in designing a solution is the source of the data itself. Since the data is fetched from not just one but many different portals, the sheer variety of it is an obstacle as the format and structure vary for every single portal. The paper considers two subproblems of data available in structured as well as unstructured format. The methodology developed for structured data makes use of the information pattern contained in the underlying tree structure of the page's HTML content from which data is sourced in order to perform extraction. And pattern matching using regular expressions is the concept used for cases where data is unstructured. Implementation has been carried out using Python as the programming language with the usage of tools like Scrapy and LXML.
Comparison of the magnetic equivalent convection direction and ionospheric convection observed by the SuperDARN radars

Abstract. SuperDARN radar and high-latitude magnetometer observations are used to statistically investigate quality of the convection direction estimates from magnetometer data if assumption is made that the magnetic equivalent convection vector (MEC) corresponds to the convection direction. The statistics includes five full days, ~75 000 of joint individual measurements for different seasons. It is demonstrated that the best (worst) agreement between the MEC and ionospheric convection occurs for the sunlit, summer (dark, winter) ionosphere. Overall, the MEC direction is reasonable (deviates less than 45° from the SuperDARN direction) in at least ~55% of points and it is better for the latitudes of the auroral oval. In terms of the magnetic local time, the agreement is the best (worst) in the dusk (early morning) sector. Possible reasons for differences between the MEC and ionospheric convection directions are discussed.
A Web Usage Lattice Based Mining Approach for Intelligent Web Personalization

With the explosive growth of information available on the World Wide Web, it has become much more difficult to access relevant information from the Web. One possible approach to solve this problem is web personalization. In this paper, we propose a novel WUL (Web Usage Lattice) based mining approach for mining association access pattern rules for personalized web recommendations. The proposed approach aims to mine a reduced set of effective association pattern rules for enhancing the online performance of web recommendations. We have incorporated the proposed approach into a personalized web recommender system known as AWARS. The performance of the proposed approach is evaluated based on the efficiency and the quality. In the efficiency evaluation, we measure the number of generated rules and the runtime for online recommendations. In the quality evaluation, we measure the quality of the recommendation service based on precision, satisfactory and applicability. This paper will discuss the proposed WUL‐based mining approach, and give the performance of the proposed approach in comparison with the Apriori‐based algorithms.
A new digital method of demodulation for MSK

In this paper we present a new scheme of demodulation for minimum shift keying (MSK) in the context of low-frequency and narrow-band. According to the characteristic of MSK signal, a digital demodulation approach based on discrete Fourier transform (DFT) is described. To expand the frequency difference of the two carriers at the receiver, received signal multiplies with itself. So we can get its second harmonic by a band pass filter. Then we use the samples of second harmonic signal in each symbol to do DFT operation. Easily, we can find the amplitudes of the second harmonic frequencies for 1 code and 0 code. After that, the hard-decision is set up by the comparing result of amplitudes. The performance of this system in AWGN (additive white Gaussian noise) channel is analyzed. Compared with classic demodulation, the new receiver architecture is not very sensitive to frequency shift. The whole system which has a simple structure is stable and has good hardware realization.
Kernel Density Estimation for Text-Based Geolocation

Text-based geolocation classifiers often operate with a grid-based view of the world. Predicting document location of origin based on text content on a geodesic grid is computationally attractive since many standard methods for supervised document classification carry over unchanged to geolocation in the form of predicting a most probable grid cell for a document. However, the grid-based approach suffers from sparse data problems if one wants to improve classification accuracy by moving to smaller cell sizes. In this paper we investigate an enhancement of common methods for determining the geographic point of origin of a text document by kernel density estimation. For geolocation of tweets we obtain a improvements upon non-kernel methods on datasets of U.S. and global Twitter content.
A Hybrid Edge Detection Method Based on Fuzzy Set Theory and Cellular Learning Automata

In this paper, a hybrid edge detection method based on fuzzy sets and cellular learning automata is proposed. At first, existing methods of edge detection and their problems are discussed and then a high performance method for edge detection, that can extract edges more precisely by using only fuzzy sets than by other edge detection methods, is suggested. After that the edges improve incredibly by using cellular learning automata. In the end, we compare it with popular edge detection methods such as Sobel and Canny. The proposed method does not need parameter settings as Canny edge detector does, and it can detect edges more smoothly in a shorter amount of time while other edge detectors cannot.
Gender Influences on Factors Affecting Career Decision Making within the South African Construction Industry

Against a backdrop of skills shortage and lack of career women in the South African construction industry and reducing numbers of new entrants, this study present several challenges and opportunities to the sector. For undecided students to include construction which has been identified by the South African government as the vehicle for job creation, poverty alleviation and infrastructure delivery, in their choice of future career demands that the industry market itself. This paper aims to report the findings of research into the impact of gender on the factors impacting the career decisions within the construction industry. The research uses a postal survey questionnaire technique for primary data collection. Literature review is used to identify relevant practices, which are then incorporated into the design of the survey instrument. Survey response data is subjected to descriptive statistical analysis and subsequently Analysis of Variance. Using a data triangulation and a KAP (Knowledge, Attitudes and Perceptions) approach, information was collected from a survey of 599 male and 491 female high school students in the Western Cape Province. The findings indicate that salary, working conditions, opportunities for promotion and lifelong learning opportunities were reported by both male and female students as the most important factors impacting career decisions whereas family tradition was the least important factor according to the male, and peers for female students. The findings are of particular importance as gender issues need to take into account the female career aspirations. The identification of factors enables the development of viable strategies and balance the social dynamics of the male dominated environment.
Inference and checking of context-sensitive pluggable types

Pluggable types can help find bugs such as null-pointer dereference or unwanted mutation (or they can prove the absence of such bugs). Unfortunately, pluggable types require annotations, which imposes a burden on programmers. We propose a framework for specifying, inferring and checking of context-sensitive pluggable types. Programmers can use the framework to plug existing context-sensitive type systems (e.g., Immutability, Ownership) as well as to build new systems.
Novel Hexagonal Dual-Mode Substrate Integrated Waveguide Filter with Source-Load Coupling

Hexagonal dual-mode cavity and its application to substrate integrated waveguide (SIW) filter are presented. The hexagonal SIW resonator which can combine flexibility of rectangular cavity and performance of circular cavity is convenient for dual-mode bandpass filters design. By introducing coupling between source and load, the filter not only has good selectivity due to two controllable transmission zeros, but also has a small size by the virtue of its single-cavity structure. A demonstration filter with a center frequency of 10 GHz and a 3 dB fractional bandwidth of 4% is designed and fabricated to validate the proposed structure. Measured results are in good agreement with simulated ones.
Three-dimensional structure of an alpha accretion disk

An analytic solution is presented to the three-dimensional problem of steady axisymmetric fluid flow through an accretion disk. The solution has been obtained through a systematic expansion in the small parameter epsilon =H/R (the ratio of disk thickness to its radial dimension) of the equations of viscous hydrodynamics. The equation of state was assumed to be polytropic. For all values alpha< 0.685 of the viscosity parameter, we find significant backflow in the midplane of the disk occuring at all radii larger than a certain value; however, in the inner regions of the disk the fluid always flows toward the accreting object. The region of backflow is separated from the region of inflow by a surface flaring outwards from a circular locus of stagnation points situated in the midplane of the disk.