Miracle-dz/UniFAR-FTUs huggingface dataset:
Análisis sociodemográfico de la percepción de marca en un servicio deportivo público: del target al buyer persona (Sociodemographic analysis of brand perception in a public sports service: from target to person buyer)

La percepción de marca es la forma de asegurar que los consumidores reciben la información que queremos transmitir, basada en nuestra estrategia de marketing. Pero hay que entender si las características sociodemográficas son un elemento por el cual las personas pertenecientes a los diferentes grupos de población perciben la marca de forma diferente, lo que justificaría la utilización de estrategias de marketing diversificadas para cada uno de estos grupos. Esto está de acuerdo con el cambio de paradigma que se está produciendo en el campo del marketing, en el que el target (los usuarios de servicios deportivos) ya no es suficiente para dirigir la estrategia debido a que es muy genérico, sino que lo que tenemos que hacer es identificar dentro de ese target a nuestro buyer, nuestro perfil de comprador ideal en función de diferentes características específicas. Este buyer persona es diferente del resto y por tanto requiere estrategias de marketing individualizadas para llegar a ellos de manera más efectiva. El objetivo de esta investigación es analizar la percepción de marca de los usuarios de un servicio deportivo público, para luego realizar un análisis comparativo basado en las características sociodemográficas de los usuarios con la intención de saber qué perfiles de usuarios perciben las variables de marca de forma diferente, lo que estaría sugiriendo la aplicación de diferentes estrategias de marca adaptadas a cada uno de ellos.Abstract. Brand perception is the way to ensure that consumers receive the information we want to convey, based on our marketing strategy. However, we have to understand whether sociodemographic characteristics are an element by which people belonging to different population groups perceive the brand differently, which would justify the use of diversified marketing strategies for each of these groups. This agrees with the paradigm shift that is taking place in the field of marketing, in which having a target (users of sports services) is no longer sufficient for directing a marketing strategy due to the fact that such target is too generic; instead, we have to identify our buyer within that target, and our ideal buyer profile based on different specific characteristics. This person buyer is different from the rest and therefore individualized marketing strategies are required to reach them more effectively. The aim of this research is to analyse the brand perception of users of a public sports service, and then make a comparative analysis based on their socio-demographic characteristics, with the intention of knowing which user profiles perceive brand variables differently, which would suggest the application of different brand strategies adapted to each of them.
Measurement and Analysis of Indian Road Drive Cycles for Efficient and Economic Design of HEV Component

Drive cycle pattern is different for different countries which depends on their traffic density, road condition and driver discipline. Drive cycle influences HEV`s components design, sizing and their ratings. Standard drive cycle data doesn't reveal much information to determine efficient and economic design of HEV`s components. In this research paper measurement and analysis of real time Indian road drive cycles (IRDC) are carried out for urban roads, state highway, national highway and express Highway where vehicles have their most run. Real time drive cycle data will expose impact of driver’s skills, traffic, road conditions and short acceleration / deceleration period, which can be represented on drive cycle chart. Analysis of IRDC in terms of rate of acceleration and deceleration, top speed, average speed with road length and analysed mathematically to find energy and power required for acceleration, normal operation and energy harvested during deceleration. Based on information from IRDC HEV`s components initial size are estimated. Initial estimated size is optimized to make HEV`s components design more efficient and economic. Teaching and learning based optimization algorithm (TLBO) and Multi objective genetic algorithm (MOGA) are used to optimize HEV`s components. Constraint of optimization algorithm are like engine and motor rating should be selected such that it has effective top speed with enough acceleration capability and can run enough distance to reach destination according to Indian urban, state, national and express highway pattern where cities are very closed compared with other countries and its regeneration component design should able to harvest maximum deceleration energy. For economic operation of HEV’s, running cost in terms of Rs. / Km. should be minimum.
Time Series Classification Based on Random Shapelets

Time-Series Shapelets are shown to be useful features to learn accurate classi(cid:12)ers for various time series. There are many algorithms for searching or optimizing shapelets, however, they use limited classes of features based on subsequences in the training data. In this paper, we consider an in(cid:12)nitely large set of sequences as a class of shapelets and discuss the generalization bound of the shapelets-based hypothesis class. In practice, instead of us-ing in(cid:12)nitely many sequences, we propose a heuristic approximate algorithm using random sequences that allows us to obtain good classi(cid:12)cation rules and shapelets. In preliminary experiments over real data sets, we obtained accurate classi(cid:12)ers which are comparable to the state-of-the-art methods.
Video Games and Collaborative Learning in Education? A Scale for Measuring In-Service Teachers' Attitudes towards Collaborative Learning with Video Games

Students’ motivation is a fundamental factor in the educational process, and can be facilitated through new methodologies and technologies, including gamification, video games, collaborative learning, or, in particular, the methodology called “collaborative learning with video games” (which is presented and can be understood as the implementation of educational activities in which students have to work together to achieve a goal, and the main resource of the activity is a video game). However, if teachers themselves are not motivated, or if they lack a positive attitude towards implementing these new methodologies, it will be difficult for students to feel motivated when approaching said resources. Therefore, it is important to know what teachers’ attitudes towards them are. The aim of this research is the creation of an attitudes scale towards collaborative learning with video games, aimed at in-service primary school teachers. Different methodological steps were followed that made its construction possible, such as the analysis of items and the verification of their reliability, resulting in a rigorous attitudes scale of 33 items, with a reliability of α = 0.947. This implies that the measurement instrument is validated and allows one to know the attitudes of in-service primary school teachers towards a new methodology related to the implementation of video games in education.
Using social media to explore the linguistic features in female adults with childhood sexual abuse by Linguistic Inquiry and Word Count

Department of Psychology, University of Chinese Academy of Sciences, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China Department of Psychology, University of Chinese Academy of Sciences, CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China Department of Psychology, University of Chinese Academy of Sciences, CAS Key Laboratory of Cognition and Development Psychology, Institute of Psychology, Chinese Academy of Sciences, Beijing, China Factor-Inwentash Faculty of Social Work & Faculty of Information, University of Toronto, Toronto, Ontario, Canada Engineer in Basic Technology Laboratory, National Computer System Engineering Research Institute of China, Beijing, China CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
Board Directors with Foreign Experience and Stock Price Crash Risk: Evidence from China

This study examines the impact of board directors with foreign experience (BDFEs) on stock price crash risk. We find that BDFEs help reduce crash risk. This association is robust to a series of robustness checks, including firm fixed effects model, Heckman procedure, instrumental variable estimation, propensity score matching (PSM) procedure, change analysis, and an exogenous shock. Moreover, we find that the imprinting effect and eyeball effect are the underlying mechanisms by which BDFEs affect crash risk. The results still hold after controlling for managerial ability of BDFEs and corporate governance effect. Our findings suggest that the characteristics of board directors matter for stock price crash risk.
Fact, Fiction, and Momentum Investing

It’s been more than 20 years since the academic discovery of momentum investing, yet much confusion and debate remains regarding its efficacy and its use as a practical investment tool. In some cases “confusion and debate” is our attempting to be polite, because it is nearly impossible for informed practitioners and academics to still believe some of the myths uttered about momentum—but that impossibility is often belied by real-world statements. In this article, the authors aim to clear up much of the confusion by documenting what we know about momentum and disproving many of the often-repeated myths. They highlight 10 myths about momentum and refute them, using results from widely circulated academic papers and analysis from simple publicly available data.
The Call to Get More Men Tested for HIV: A Perspective on What Policy Makers Need to Know for Implementing and Scaling up HIV Self-Testing in Rwanda

Various reports by the World Health Organization and the Joint United Nations Programme on HIV and AIDS have indicated that, in 2017, only 75% of individuals who were living with HIV across the globe were aware of their HIV status. This calls for targeted interventions to ensure that more people get tested. To this end, different measures should be adopted to increase the uptake of HIV testing services, especially for populations with limited access, as well as those who are at higher risk and would otherwise not get tested, such as men. While HIV self-testing (HIVST) is a highly effective tool that can be used to increase the uptake of testing among men, various challenges are still being faced. The perspective herein examines the challenges being faced in Rwanda and recommends some key measures that can be put in place to ensure that these challenges are addressed effectively and efficiently. In this perspective, the author proposes several notable strategies that policy makers in Rwanda should consider for the effective implementation of HIVST programs: developing health education programs that aim to increase awareness among men; improving the usability of HIVST kits; establishing strategic distribution points for HIVST kits, such as distribution in communities and at voluntary male medical circumcision sites, as well as online purchasing options; and ensuring that there is a highly supportive climate that is conducive to successful implementation.
International Journal of Advanced Research in Computer Science and Software Engineering Compact Key Generation for Scalable Data Sharing in Cloud Storage

— Sharing of data is an important functionality in cloud storage. It is important to consider the privacy of data which is stored on the cloud. An attempt was made to share data securely, efficiently, and flexibly with others in cloud storage. A new approach was proposed that uses a public-key cryptosystem which generates constant-size cipher texts. The idea behind this approach is that it can aggregate a number of secret keys and make them as compact as a single key which encompasses the power of all the individual keys. This compact aggregate key can be conveniently sent to others or be stored in a smart card with very limited secure storage. Since cloud is not an open source users may have different access rights according to their usage for example paid users and normal users.
Performance of Caching in Wireless Small Cell Networks

In this paper, a fifth generation (5G) radio cellular system performance will be discussed based on a new architecture developed using small base stations (SBSs). This strategy takes into account SBS caching capability to alleviate the backhaul load and consequently satisfy users’ requests. Therefore, the effectiveness of future 5G networks will be maximized by offering good coverage with low latency. This is a new caching paradigm called proactive caching, which could be useful for the implementation in big data. Significant gains in reducing traffic on backhaul links and user satisfaction will be ensured. Customers are served by picking the content from local caches, stochastically distributed over the plane, as a formerly limited backhaul. Success probability expressions are obtained as a function of the signal-to-interference and noiseratio (SINR) and SBS density.
Artist teacher cognition: connecting ‘self’ with ‘other.’

In this visual essay I story a doctoral journey exploring cognitive conception in artist teacher practice. Underpinned by autoethnographic research, I communicate how an understanding of cognition can be understood and developed by an artist- teacher academic working with a cohort of pre-service artist teachers. The visuals embedded in this essay draw relationships between the cognitive conceptions of self and other to reveal i) the importance of cognition to art education ii) factors which influence cognitive conception and iii) the value of cognition as a transformational practice. The use of personal, cultural and theoretical lenses in this essay provide important insights to the finding that engagement with cognition in artist teacher practice can assist in ensuring art education remains valued, timely and progressive.
Calming "Internet Arguments" with Design

"Internet arguments" are refer to users exchanging heated comments online. However, argumentation can also be beneficial for exchanging ideas on a topic with conflicting information. This is the situation with what Horst Rittel refers to as “wicked problem,” whereby solutions to problems are complex due toconflicting information. To assist discourse surrounding wicked problems, scholars created Computer Supported Argument Visualizations (CSAV). This exploratory pilot gathered user insight on when people prefer argumentation tools by asking participants to debate the complexities of Climate Change online. The results in this pilot study suggests that CSAVs for more formal argumentation might assist science journalism students with developing more informed opinions on the subject of Climate Change.
The Design of a Custom 32-bit RISC CPU and LLVM Compiler Backend

Compiler infrastructures are often an area of high interest for research. As the necessity for digital information and technology increases, so does the need for an increase in the performance of digital hardware. The main component in most complex digital systems is the central processing unit (CPU). Compilers are responsible for translating code written in a high-level programming language to a sequence of instructions that is then executed by the CPU. Most research in compiler technologies is focused on the design and optimization of the code written by the programmer; however, at some point in this process the code must be converted to instructions specific to the CPU. This paper presents the design of a simplified CPU architecture as well as the less understood side of compilers: the backend, which is responsible for the CPU instruction generation. The CPU design is a 32-bit reduced instruction set computer (RISC) and is written in Verilog. Unlike most embedded-style RISC architectures, which have a compiler port for GCC (The GNU Compiler Collection), this compiler backend was written for the LLVM compiler infrastructure project. Code generated from the LLVM backend is successfully simulated on the custom CPU with Cadence Incisive, and the CPU is synthesized using Synopsys Design Compiler.
Behind the scenes: teachers’ perspectives on factors affecting the implementation of inquiry-based science instruction

ABSTRACT Background: Implementing Inquiry-Based Instruction (IBI) in science is a complex process demanding certain classroom conditions prepared with instructional materials to engage students in tasks, as well as adopting the social context that will shape the inquiry-based learning environment. Within this social context, teachers are the main agents who ensure successful inquiry-based implementation because their beliefs and perceptions significantly influence their practices within the classroom.Purpose: This study explored teachers’ views and understandings about IBI and the factors that inhibit and promote the implementation of this teaching method. Additionally, the difference in perspectives regarding the inhibiting factors has been explored within two countries that are allocating different budgets for developing innovative educational systems to improve students’ results on the international standardized tests (the United Arab Emirates and Lebanon). Results: This study identified factors such as limited ICT and lab resources, low quality of professional development, lack of time for lesson preparation, and difficulties in classroom management that complicate the process of IBI implementation in classrooms. Differences in the UAE and Lebanese teachers’ perspectives were uncovered. Implications and limitations were further discussed.
Revenue Maximization for Dynamic Expansion of Geo-Distributed Cloud Data Centers

In the cloud environment, it brings better reliability and robustness with geographically distributed datacenters. As the growth of large-scale applications in geo-distributed cloud systems, the resource demand from different areas increases violently, and researchers pay more attention to meet as many cloud users’ VM demands as possible by using limited cloud resources. However, there exist many issues for cloud users in existing works, such as the VM demands being refused and high response latency. In this paper, we present a cloud system model for the cloud provider to dynamically expand the scale of geo-distributed date centers. In our model, the cloud provider rents hardware resources from other resource owners (ROs), who have redundant resources and are willing to lease them. Since the ROs possess vast resources and spread all over the global, our system model can deploy more cloud users’ VMs and effectively reduce the bandwidth cost. We propose an optimization problem for the cloud provider to maximize the profit, and carefully solve it in different conditions. Our simulation results show that our system model and algorithms can effectively improve the user satisfaction and the total revenue and reduce the average latency of users’ requests.
The Affects of Vocal Fatigue on Fundamental Frequency and Frequency Range in Actresses as Opposed to Non-Actresses

An abstract of the thesis of Ruth Ann Jenkins for the Master of Science in Speech Communication: Speech and Hearing Science presented May 31, 1995. Title: The Affects of Vocal Fatigue on Fundamental Frequency and Frequency Range in Actresses as Opposed to Non-Actresses. Differences may exist between the voice qualities of those who professionally use and train their voices and those who do not. The examination of fundamental frequency and frequency range m actresses and non-actresses is integral to determining voice quality differences in these populations. These differences, whether the result of frequent use or training of the voice, may exist relative to fatiguing conditions such as may be experienced by actresses in the course of their work. Fatigue has been shown to produce greater effects in normals than in performers, particularly in singers (Gelfer, Andrews, and Schmidt, 1991). Little research has been found comparing actresses to non-actresses in such an interaction effect. In order to determine whether a separate set of normative values should be sought for actresses, it is first necessary to determine whether significant differences exist between these populations in voice quality parameters. 2 The purpose of the present study was to determine whether or not significant changes in fundamental frequency and frequency range occurred in non-actresses relative to actresses as a result of fatigue. The subjects for the study included ten actresses between the ages of 20 and 30 who had a minimum of one quarter of voice training and three years of acting experience and ten women of the same age group who had no voice training or experience in acting. Each subject passed a puretone audiometric screening, had a negative history of voice disorders, and had not smoked within the last year. These two groups were evaluated for: 1) fundamental frequency in prolonged productions of the vowel lal; 2) speaking fundamental frequency in connected speech; 3) frequency range in sung scales; and 4) frequency range in connected speech. Data was statistically analyzed using one way ANOV A tests with repeated measures. No significant interactions occurred between group and time, suggesting that non-actresses did not produce a greater shift than did actresses in fundamental frequency or frequency range as a result of fatigue. These results contradicted some findings and supported other findings of previous research based on similar samples. THE AFFECTS OF VOCAL FATIGUE ON FUNDAMENTAL FREQUENCY AND FREQUENCY RANGE IN ACTRESSES AS OPPOSED TO NON-ACTRESSES
High-functioning autism and second language development:A case study

Children with autism experience difficulties to develop their first language. Learning a second language (L2) can imply additional challenges even if immersed in a second language environment. The objective of this case study is to describe some of the features of the development of English as L2 in a six-year old child with high-functioning autism recently arrived in the US. The objective is to compare the process with that of typically developing children. Data were obtained from observations of tutorial sessions, which were recorded, transcribed and analyzed following Vygotsky´s dialectical method, in which learning is seen as a dynamic and complex process. The analysis shows that though the child experiences most phases as typically developing children do, some of the autistic features represent a challenge for L2 learning. However, given a permanent support on a one-to-one basis, some of these features can become an advantage for L2 learning.
Improving U-shapelets Clustering Performance: An Shapelets Quality Optimizing Method

Unsupervised shapelets (u-shapelets) are time series subsequences that can best separates between time series coming from different clusters of data set without label. Because of the high computational cost, the u-shapelets are prohibited for many large dataset. Nevertheless, almost all of the current methods try to improving the u-shapelets based clustering method through reducing the computation time of u-shapelets candidate set. In this paper, we proposed a novel method improving efficiency of u-shapelets in terms of improving the u-shapelets quality. There are three contributions in our work: firstly, we show that by using internal evaluation measure instead gap score can improve quality of u-shapelets. Secondly, a novel method was proposed that applying diversified top-k query technology to filter similar u-shapelets, especially selecting the k most representative u-shapelets on the entirely shapelets candidates. Lastly, extensive experimental results show that combining internal evaluation measure and diversified top-k u-shapelets technology, our proposed method outperforms not only u-shapelet based methods, but also typical time series clustering approaches.