Miracle-dz/UniFAR-FTUs huggingface dataset:
Public Acceptance On Bicycle Sharing Service In City Centre: A Malaysiaâ€™s Perspective

Public bicycle sharing services has gained much attention through the expanding of its services globally. This service is important to support sustainable strategy which has been implemented. While the adaptation of this service has provided a good acceptance in other regions, Malaysia is also trying to serve the gap. There are four variables that have been selected as the independent variables which are accessibility, technology, safety and attitude while public acceptance is the dependent variable for this study. Therefore, the aim of this paper is to analyse the public acceptance towards the implementation of bicycle sharing services in Malaysia city centre focusing on Kuala Lumpur and Johor Bharu areas. The online questionnaire is done on 271 public user of bicycle sharing services. The results indicate that the acceptance of bicycle sharing services in Malaysia has significant impact towards the implementation of its services. However, the acceptance of this service strongly depends on the safety aspect compared to other variables. Â
Entrepreneurial drivers, barriers and enablers of computing students: gendered perspectives from an Australian and UK university

ABSTRACT This paper investigates computing students’ entrepreneurial intentions, motivations, recognisable barriers and encouragements towards entrepreneurship, with a focus on gender. Two universities, one in Australia and one in the UK (n = 247), were used as locations for the research to consider two distinct contexts. In each university there were similarly high levels of interest in entrepreneurship among computing students, however some significant differences in responses were found, especially between male and female participants. Job flexibility was a strong motivation for the UK-based female participants; while female participants at the Australian university identified internal barriers (such as lack of confidence and experience). Enablers to entrepreneurial activity were identified, including access to incubators and academic support. Directing such support towards computing students, while recognising gender differences, could increase interest in, and take-up of, entrepreneurship. Recommendations are made regarding how universities can best support would-be entrepreneurs and encourage inclusive entrepreneurship into the future.
Camera Pose Estimation Method Based on Deep Neural Network

This paper proposes a camera pose estimation algorithm based on deep neural network, which returns the translation and rotation of the camera based on supervised deep learning. This paper uses the ORB algorithm to extract the feature points of the image, and the feature points are labeled on the color image for training and testing. The deep neural network based on the structure of recurrent convolution neural network (RCNN). Firstly, some features extracted by the convolution neural network. Then,it builds the order model base on the RCNN network. The RMS error is used as the loss function to train the network, in which the rotation is expressed by Euler angle. Finally,experiments on KITTI VO dataset show that the proposed method is effective.
Data stream cluster algorithm based on mobile grid and density

A kind of traditional data cluster algorithm based on grid used the method of the fixed network division,with its faster processing but low accuracy.In the view of above deficiencies,the data stream cluster algorithm based on mobile grid and density was presented.This algorithm adapted the weight and attenuation coefficient,mobile grid technology processing the border of the data stream,with the result of the enhanced accuracy of the cluster and increased operating efficiency.
Residents’ attitudes towards different tourist offers: Maldonado-Punta del Este conurbation (Uruguay)

The study of residents' attitudes is fundamental for tourist destinations managers. Residents form their attitude towards tourism through a cost-benefit analysis based on their perception of tourism impacts. The objective of this paper is to analyse the relationship between the perception of the different types of impacts, the general attitude toward tourism and various types of tourism offer: sport tourism, maritime tourism, nature tourism and sun and beach tourism. The analysis of the data was performed using Partial Least Squares on a sample of 420 residents of the Maldonado-Punta del Este conurbation, interviewed in 2016. The strongest causal relationship is between general attitude and acceptance of sun and beach tourism, the traditional offer in the region. The main conclusion is that a more favourable attitude to tourism does not imply greater support for any type of tourism. It is not possible to generalize the support to tourism to any tourism project, and tourist destinations managers must take it into account.
Total perceived discomfort function for upper limbs based on joint moment

The aim of this study was to formulate a relationship between the total perceived discomfort of the upper limbs and the perceived discomforts of each degree of freedom (DOF). The biomechanical analysis was performed based on classifying the posture and load via rapid upper limb assessment (RULA). The summary scores of the RULA and the perceived discomforts of each DOF were the objective and explanatory variables, respectively. Four approximation models (average, maximum, hybrid, and radial basis function (RBF) network) were compared in terms of accuracy in predicting the total perceived discomfort. In conclusion, among the four models, the RBF network provided the highest accuracy, followed by the hybrid model.
Application-specific micro Rogowski coil for power modules - Design tool, novel coil pattern and demonstration

We developed a printed circuit board 'Rogowski coil' to improve the reliability of power modules and packages. For the design, we used a new tool for sensitivity and adopted a fishbone coil pattern to realize design sensitivity. The developed coil demonstrates flat sensitivity that is as good as that of commercialized current probes/sensors because the proposed coil pattern successfully cancels noise from an outside current with flat signal sensitivity by an inside current.
Curriculum Contrastive Learning for Fake News Detection

Due to the rapid spread of fake news on social media, society and economy have been negatively affected in many ways. How to effectively identify fake news is a challenging problem that has received great attention from academic and industry. Existing deep learning methods for fake news detection require a large amount of labeled data to train the model, but obtaining labeled data is a time-consuming and labor-intensive process. To extract useful information from a large amount of unlabeled data, some contrastive learning methods for fake news detection are proposed. However, existing contrastive learning methods only randomly sample negative samples at different training stages, resulting in the role of negative samples not being fully played. Intuitively, increasing the contrastive difficulty of negative samples gradually in a way similar to human learning will contribute to improve the performance of the model. Inspired by the idea of curriculum learning, we propose a curriculum contrastive model (CCFD) for fake news detection which automatically select and train negative samples with different difficulty at different training stages. Furthermore, we also propose three new augmentation methods which consider the importance of edges and node attributes in the propagation structure to obtain more effective positive samples. The experimental results on three public datasets show that our model CCFD outperforms the existing state-of-the-art models for fake news detection.
Network Aware Forecasting for eCommerce Supply Planning

A real world supply chain planning starts with the demand forecasting as a key input. In most scenarios, especially in fields like e-commerce where demand patterns are complex and are large scale, demand forecasting is done independent of supply chain constraints. There have been a plethora of methods, old and recent, for generating accurate forecasts. However, to the best of our knowledge, none of the methods take supply chain constraints into account during forecasting. In this paper, we are primarily interested in supply chain aware forecasting methods that does not impose any restrictions on demand forecasting process. We assume that the base forecasts follow a distribution from exponential family and are provided as input to supply chain planning by specifying the distribution form and parameters. With this in mind, following are the contributions of our paper. First, we formulate the supply chain aware forecast improvement of a base forecast as finding the game theoretically optimal parameters satisfying the supply chain constraints. Second, for regular distributions from exponential family, we show that this translates to projecting base forecast onto the (convex) set defined by supply constraints, which is at least as accurate as the base forecasts. Third, we note that using off the shelf convex solvers does not scale for large instances of supply chain, which is typical in e-commerce settings. We propose algorithms that scale better with problem size. We propose a general gradient descent based approach that works across different distributions from exponential family. We also propose a network flow based exact algorithm for Laplace distribution (which relates to mean absolute error, which is the most commonly used metric in forecasting). Finally, we substantiate the theoretical results with extensive experiments on a real life e-commerce data set as well as a range of synthetic data sets.
Openstack Operations Guide

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An Analysis the Role of Store Service Quality and Store Image on Purchase Intention of Private Label Brands

Purpose: The main concern of stores to provide Quality services to its customers and increase the purchase intention. So it is important for stores to provide quality product with better service quality. Main purpose of this study was to investigate the relationship between service quality, store image and private label brand of textile. The store image mediates the relationship between service quality and private label brand in the textile sector of Pakistan. To check the direct or indirect effect of service quality on private label brands. Data was collected from 156 customers of different stores. Snow ball sampling technique was used to collect the data from respondents, SPSS 23 was used for descriptive statistics and PLS-SEM 3 was used to analyze the hypothesis. The findings indicates that service quality positively and significantly impact store image and private label brand of textile and store image is also positively linked with private label brand of textile and mediating the relationship between service quality and private label brand of textile according to our finding. This article helps the retail service sector to understand the importance of service quality provide and how to enhance the consumers purchase intentions to purchase private label brand of textile from stores. Customer retention is higher and profitability is greater for the business over the long term.
Lexicographic Tools to Build New Encyclopaedia of the Czech Language

Abstract The first edition of the Encyclopaedia of the Czech Language was published in 2002 and since that time it has established as one of the basic reference books for the study of the Czech language and related linguistic disciplines. However, many new concepts and even new research areas have emerged since that publication. That is why a preparation of a complete new edition of the encyclopaedia started in 2011, rather than just re-printing the previous version with supplements. The new edition covers current research status in all concepts connected with the linguistic studies of (prevalently, but not solely) the Czech language. The project proceeded for five years and it has finished at the end of 2015, the printed edition is currently in preparation. An important innovation of the new encyclopaedia lies in the decision that the new edition will be published both as a printed book and as an electronic on-line encyclopaedia, utilizing the many advantages of electronic dictionaries. In this paper, we describe the lexicographic platform used for the Encyclopaedia preparation and the process behind the work flow consisting of more than 3,000 pages written by nearly 200 authors from all over the world. The paper covers the process of managing entry submissions, the development of tools to convert word processor files to an XML database, tools to cross-check and connect bibliography references from free text to structured bibliography entries, and the preparation of data for the printed publication.
Approximate and Interactive Processing of Aggregate Queries on Knowledge Graphs: A Demonstration

This paper demonstrates AGQ [26] - our system for approximate and interactive processing of aggregate queries on knowledge graphs (KGs), e.g., "what is the average price of cars produced in Germany? " One can support aggregate queries based on factoid queries, e.g., "find all cars produced in Germany", by applying an aggregate operation on factoid queries' answers. However, this straightforward method is problematic since both the accuracy and efficiency of factoid query processing would impact the performance of aggregate queries. Moreover, returning a one-time, exact result might add computation overhead and hinder users' engagement and interactivity. To this end, we design a system, called AGQ which employs a "sampling-estimation" model to answer aggregate queries over KGs. This is the first work to provide an approximate aggregate result with effective and interactive accuracy guarantees, and without relying on factoid queries. Our demonstration highlights (1) a novel semantic-aware sampling to collect a high-quality random sample through a random walk based on KG embedding, followed by our unbiased (or, consistent) estimators for COUNT, SUM, AVG to compute the approximate aggregate results using the random sample, with a confidence interval-based accuracy guarantee. (2) AGQ supports interactive improvements of accuracy, complex queries with filter, GROUP-BY, MAX/MIN, and different graph shapes, e.g., chain, cycle, star, flower. (3) Its GUI helps users compare simple and complex aggregate queries, intermediate results as the queries progress, confidence intervals, relative errors, and various schemas for different valid answers in a user-friendly and interactive manner. Additionally, our system permits users to input queries in natural languages, keywords, or to select from a set of example graph queries.
An Analysis OF Zero Tolerance Weapon Policies Related To The School-To-Prison Pipeline Phenomenon

Pennsylvania schools adopted zero tolerance weapon policies to comply with the federal Gun-Free Schools Act (1994). Weapon definitions in school policies are broader than federal or Pennsylvania statutory definitions, and disproportionately affect racial minority students (Joint State Government Commission, 2016) and low income students and precipitate the school-to-prison pipeline (Giroux, 2003). Twelve Allegheny County school districts’ weapon definitions and high schools were studied utilizing a socio-ecological model to examine external socio-economic status and internal weapon policy (Capp et al., 2017). The purpose of the study was to determine if weapon definitions and memorandum of understanding (MOU) creation and implementation is influenced by socio-economic status and race. Schools’ economic disadvantage was used to designate six as working class and six as affluent. Findings were first, all schools had a weapon policy broader than the Pennsylvania statute. Second, Office for Safe Schools (OSS) Historical Comparison Report Data demonstrated that the working class schools had over four times the arrests as affluent schools while law enforcement was called only twice as many times; working class schools had over four times the referrals to alternate education for disruptive youth, two times the out-of-school suspensions, and five times the expulsions as the affluent schools. Third, no schools were updating policies based on court decisions and interpretation of weapon policies. Fourth, while each district was required to have an MOU with local law enforcement and provide explanations to OSS for substantive differences, one district had none, and two districts provided no explanation for differences. Fifth, applying the OSS analyzes to 12 Dauphin County schools revealed similar results, law enforcement was called to the affluent schools almost one-third more, while twice as many students were arrested in the working class schools. The socio-ecological implications are that low income and racial minority students were affected by expansive district weapons policies more than their counterparts in affluent districts and all districts need increased oversight. The number of racial minority students entering the criminal justice system from schools implies that criminal justice reform must be accompanied by educational reform and zero tolerance policies expose schools to claims of educational malpractice.
Some International Evidence for Keynesian Economics Without the Phillips Curve

Farmer and NicolA² (2018) show that the Farmer Monetary (FM)-Model outperforms the three-equation New-Keynesian (NK)-model in post -war U.S. data. In this paper, we compare the marginal data density of the FM-model with marginal data densities for determinate and indeterminate versions of the NK-model for three separate samples using U.S., U.K. and Canadian data. We estimate versions of both models that restrict the parameters of the private sector equations to be the same for all three countries. Our preferred specification is the constrained version of the FM-model which has a marginal data density that is more than 40 log points higher than the NK alternative. Our findings also demonstrate that cross-country macroeconomic differences are well explained by the different shocks that hit each economy and by differences in the ways in which national central banks reacted to those shocks.
Strategy In Action

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Análisis dinámico del reactor experimental de fisión nuclear muse-4

El experimento MUSE-4 del 5° Programa Marco de la Union Europea se ha llevado a cabo en el reactor experimental MASURCA situado en Cadarache (Francia). Esta tesis esta centrada en el estudio dinamico de este conjunto subcritico de espectro rapido acoplado a una fuente de neutrones pulsada, asi como en el desarro110, aplicacion y validacion de tecnicas experimentales de medida de la reactividad que no necesiten de una configuracion de referencia en critico. En la tesis se ha mostrado que extendiendo el modelo de la cinetica puntual a un modelo de varias regiones, es posible describir completamente la dinamica del sistema con los parametros del reactor (reactividad, constante de decaimiento rapido y tiempo de vida medio en las regiones no multiplicativas del reactor), salvo en los cincuenta microsegundos inmediatamente posteriores al pulso de neutrones. Para el1ose han realizado tres campanas de medidas experimentales con reactividades que van desde keff= 0.995 a keff=0.87, donde se ha medido la respuesta del sistema a un pulso de neutrones con un nuevo sistema de adquisicion de datos desarrollado por el autor. El analisis de los datos experimentales se ha realizado utilizando el metodo de las areas de Sjostrand y el metodo de las pendientes (modelo extendido de la cinetica puntual). Una vez aplicadas las correcciones explicadas en la tesis se ha encontrado que ambos son compatibles entre si, y que permiten calcular la reactividad con precisiones mejores que el 0.3% para Keff=0.96. Los metodos de ruido neutronico, Rossi-alpha y Feynman-alpha muestran que para configuraciones muy subcriticas es necesario desarrollar un nuevo modelo que explique los datos experimentales. Asimismo, los datos experimentales se han analizado utilizando el codigo Mo""I1teCarIo MCNP, esto ha permitido explicar detalladamente los resultados obtenidos, validando almismo tiempo el propio codigo MCNP. Por ultimo, extr
B-12-20 Task Allocation Scheme for Hadoop in Campus Network Environment

Different types of available computational resources can be utilized with the incorporation of Hadoop framework [1], [2]. In the current Hadoop framework [1], [3], the job is divided into the same proportion of tasks and they are assigned to slave servers. If the performance of computational resources is different, the processing time cannot be decreased, even if the number of computational resources is increased. In the other words, when low performance computational resources are included, the advantages of Hadoop cannot be utilized properly. As a result, we cannot utilize the outdated resources in campus environments with incorporation of the current Hadoop framework. This paper proposes a resource allocation scheme for Hadoop in campus networks in order to maximize the performance in terms of processing time by utilizing the outdated computational resources. The proposed scheme splits the job with appropriate splitting ratios according to both computer processing performance and network resource availability. In the other words, the job is divided into different proportion of tasks and then they are assigned to slave servers according to both computer processing performance and network resource availability. The simulation results indicate that the proposed scheme is effective.
Internal Versus External Control of Reinforcement

In this article the construct of generalized expectancies for internal versus external control of rein- forcement is used as a model to present a brief on the importance of broad theory and training in theory con- struction and evaluation in psychology. Specifically, the extraordinary heuristic value of this construct is attributed to four characteristics: the nature of the definition, the careful imbedding of the construct in a theoretical context, the use of a broad behavior theory in construction of a measure of individual differences, and the programmatic nature of the original research as well as the format of the early publications. Reevaluation of the characteristic cri- teria for publication of research studies and for the eval- uation of promotion or advancement for psychologists in- volved in research activities is also discussed.