Miracle-dz/UniFAR-FTUs huggingface dataset:
Player Characteristics and Games: Findings and Implications for Distance Learning

Understanding the factors that affect participation in online games will help educational game designers develop games that maximize participation. This study investigated whether introversion or extroversion, player motivation, and gender affected participation in online games. Participants (n = 400) completed a 50-item questionnaire about introversion or extroversion, player motivation, and time spent playing games. A three-way analysis of variance was used to explore the effects of personality, player motivation, and gender on participation. Introverts spent 6.7 more hours playing games than extroverts, and a significant interaction effect was found between personality and gender. The implications of these findings are presented.
PENGARUH FASILITAS BELAJAR TERHADAP MOTIVASI DAN HASIL BELAJAR FISIKA MAHASISWA

This study is an "expost-facto" study which aims to analyze the influence of: (1) learning facilities on physics learning results of students; (2) learning facilities on learning motivation of students at; and (3) ) learning motivation on physics learning results of students. The population in this study were all students of class 2015 and class of 2016 Study Program of Physics Education at with a total of 224 people. The research sample was taken using the Slovin technique with a total of 145 students. The data collection process was carried out using questionnaires and tests of physics learning outcomes that have been empirically tested. The results of the research data were analyzed using Structural Equation Modeling analysis method with Analysis of Moment Structures technique. Through this model it can be concluded: (1) learning facilities have a positive direct influence on students learning motivation at; (2) learning facilities do not have a positive direct influence on the results of students studying physics at; and (3) learning motivation has a positive direct influence on the results of students learning physics.
Front and rear vehicle detection and tracking in the day and night times using vision and sonar sensor fusion

Active research into vehicle detection and tracking using a vision sensor are done for driver assistance systems (DAS) - collision warning and avoidance, vision enhancement, etc. The vehicle detection and tracking algorithm for DAS requires a robust feature extraction and tracking method regardless of the light and road conditions and an exact estimation of vehicle position and velocity regardless of the distance from the ego-vehicle. But most research was carried out in the day time with good lighting conditions and the little research done so far in the night time assumed no interference of headlights from other vehicles. This paper proposes a new robust vehicle detection and tracking method regardless of the light and road conditions at any distance using vision and sonar sensors. We use the sonar sensor for detection and distance estimation within 10 m and the image sensor over 10 m. First, this paper proposes a simple method that can determine the light condition by observing several images and this light condition is used by selecting one of several detection methods. The proposed vehicle detection method in the day time image can extract the shadow region represented by the boundary between a vehicle and the road and further verify using other vehicle features, such as symmetry rate, vertical edge, and lane information. The vehicle tracking method in the day time uses online template matching using the mean image created by several consecutive detection results. The vehicle detection method in the night time extracts bright regions caused by the headlights, taillights, brake lights, etc. and these candidates are verified by observing several consecutive frames.
Variabilidad fenotípica del porcentaje de fibras meduladas en el vellón de alpaca Huacaya

El objetivo del estudio fue evaluar la variabilidad fenotípica del porcentaje de fibras meduladas de alpacas Huacaya, así como calcular la correlación fenotípica entre el diámetro medio de fibra (DMF) y el porcentaje de medulación total (PM). Se tomaron muestras de fibra de 36 alpacas Huacaya (machos entre 0.4 y 10.4 años) para determinar el DMF y el PM con el microscopio de proyección. El tipo de médula de las fibras fue considerada como no medulada, fragmentada, discontinua, continua y fuertemente medulada. Se observó una alta variabilidad fenotípica del PM entre alpacas y dentro de las muestras. El promedio ± desviación estándar del PM y DMF fue 32.56 ± 18.30% y 17.58 ± 2.52 µm para fibras no meduladas; 29.29 ± 11.67% y 21.49 ± 2.39 µm para fibras con medulación fragmentada; 14.01 ± 10.14% y 24.04 ± 2.40 µm para fibras con medulación discontinua; 23.90 ± 13.01% y 28.04 ± 3.10 µm para fibras con medulación continua; y 0.59 ± 0.44% y 50.85 ± 9.86 µm para fibras fuertemente meduladas, respectivamente. La correlación fenotípica entre el PM y el DMF fue 0.80, y entre el PM y el porcentaje de medulación continua fue 0.74. En conclusión, existe una alta variabilidad fenotípica del PM y de los porcentajes de fibras meduladas continuas, discontinuas y fragmentadas en el vellón de alpaca Huacaya. Las fibras finas tienen una baja frecuencia de médulas fragmentadas y discontinuas, mientras que las fibras más gruesas tienen una mayor frecuencia de médulas discontinuas y continuas.
Python Data Science Handbook: Essential Tools for Working with Data

For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, youll learn how to use:IPython and Jupyter: provide computational environments for data scientists using PythonNumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in PythonPandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in PythonMatplotlib: includes capabilities for a flexible range of data visualizations in PythonScikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms
The Influence of Culture toward Risk-Taking in SMEs in Regency of Ende, East Nusa Tenggara

This paper has purpose to examines how does culture influence risk-taking of SMEs, which is a key dimension of entrepreneurial orientation. Data from 40 self-administered questionnaires were utilized. Hofstede’s four cultural dimensions were adopted in stating the four hypotheses developed for this study. The data were analyzed using descriptive statistic, Person’s Product Moment Correlation Coefficients and Multiple Linear Regression Analysis. The findings of this study indicate that in Regency of Ende masculinity had a significant positive relationship with risk taking. But, uncertainty avoidance, individualism and power distance recorded a non-significant positive relationship with risk taking. Hence, this study recommended that SMEs owner/manager must give employee security assurance, make good cooperation with others, find opportunity for high income and also seek opportunities for promotion to get higher assignments. Keywords—entrepreneuship; culture; risk taking; Small Medium Enterprise (SMEs)
Overview of typical pork value chains in Vietnam

Seeking to reduce the burden of food-borne diseases in informal, emerging and niche markets in the country, the ‘Market-based approaches to improving the safety of pork in Vietnam’ or SafePORK project is a 4.5-year initiative that started in October 2017. Funded by the Australian Centre for International Agricultural Research (ACIAR), the project is implemented by the International Livestock Research Institute (ILRI) in partnership with national partners in Vietnam and international partners from Australia and the United Kingdom.
An Exploratory Study of Factors Influencing M-Learning Success

The measure of m-learning success is important to understand the value of management actions and investment in m-learning. Focusing on technology aspects of m-learning, no research has been done in m-learning success factors from the user's perspective. The objective of this study is to investigate key determinants of m-learning success perceived by users. Potential determinants of m-learning success are inferred from the general characteristics of m-learning system, the literature in Information System (IS) success and expert interviews. The potential factors are grouped into system quality, contents quality and service quality. User satisfaction construct is used to measure m-learning success. The questionnaire is used to assess the satisfaction of users who had recently purchased learning products from m-learning vendors. The data collected by questionnaire were analyzed to check the validity of constructs. Then hypotheses describing the relationships between the identified constructs and user satisfaction were formulated and tested.
Intelligent air/fuel ratio control strategy with a PI-like fuzzy knowledge–based controller for gasoline direct injection engines

This paper proposes a new concept of PI-like fuzzy knowledge–based controller with self-tuning capability, high robustness and rapid development capability to regulate air/fuel ratio for gasoline direct injection engines. The proportional and integral terms of the PI-like fuzzy knowledge–based controller are nonlinear functions of the input signals and self-tuned in real time at operation points, which can reduce the effort spent on calibrating controller parameters. The PI-like fuzzy knowledge–based controller is implemented on a production gasoline direct injection engine and evaluated through case studies. The experimental results show that the proposed controller can regulate air/fuel ratio at stoichiometric value with less settling time and less oscillation compared with the conventional Proportional-Integral (PI) controller for transient operation.
5E Inquiry Learning Model: Its Effect on Science Achievement among Malaysian Year 5 Indian Students

This study aims to establish the effectiveness of 5E inquiry learning model to enhance the science achievement among Malaysian Year 5 Indian students. Accordingly, the teaching sequence using the context of energy change was structured in such a way that it follows the characteristics of each phase in the 5E inquiry learning model, namely engage, explore, explain, elaborate (expand), and evaluate. The conventional approach, by contrast, was characterised by the teacher-centred teaching. The research design employed was that of a quasi-experiment non-equivalent pretestposttest control group design. A total of 40 students (19 girls and 21 boys) in the experimental group and 40 students (28 girls and 12 boys) in the control group deriving from a rural Tamil National-type Primary School in Selangor participated in the study. The science achievement was measured by means of an author-developed 20-multiple-choice-item test of which the items were drawn from the past standardised national examinations. Given that the content validity was established by means of the test specification table and that the items were drawn from the past standardised national examinations, its validity was safely assumed. The pretest was administered before the intervention while the posttest was administered after the one-week intervention. The findings indicate that the analysis of the pretest and posttest data using Analysis of Covariance (ANCOVA) yielded an F of 593.35 which is significant (p = .000 < .01), signifying that the adjusted mean obtained by the experimental group (90.32) is statistically significantly higher than the adjusted mean obtained by the control group (52.53). The results are discussed in terms of how the key findings relate to other studies and implications for future research are delineated. International Journal of Academic Research in Business and Social Sciences Vol. 8 , No. 12, Dec, 2018, E-ISSN: 2222-6990 © 2018 HRMARS 350
The determinants of trust in the boardroom

Studies on the relationship between board compositional characteristics and performance have remained elusive after decades of research (Dalton et al., 1998; Forbes and Milliken, 1999). Scholars have argued that such research is akin to treating the board as a ‘black box’ without investigating what actually happens inside the boardroom (Huse, 1998, 2007; Pettigrew, 1992; Pettigrew and McNulty, 1995). More recent research has therefore moved towards behavioural perspectives on boards (Forbes and Milliken, 1999; Hambrick et al., 2008; Huse, 2007; Huse et al., 2011). These behavioural studies draw on a wider range of theoretical concepts in order to capture and examine the socio-psychological processes that occur in the boardroom (Westphal and Zajac, 2013). Moreover, the behavioural research stream has eschewed traditional archival data-based methods that have dominated the conventional research on corporate boards and instead given preference to data and methods that have allowed researchers to get closer to actual behaviours and interactions in the boardroom (Bailey and Peck, 2011; Huse and Zattoni, 2008; Machold and Farquhar, 2013; Minichilli et al., 2009, 2012; Pye, 2001; Pugliese et al., 2015; Zona and Zattoni, 2007).
Pertumbuhan Ekonomi Provinsi di Indonesia Berdasarkan Indeks Komposit Pertumbuhan Inklusif dan Faktor yang Memengaruhinya

Pada tahun 2016, pertumbuhan Produk Domestik Regional Bruto (PDRB) yang tinggi di beberapa provinsi di Indonesia ternyata diikuti pula ketimpangan pendapatan, kemiskinan, dan penganggurannya yang tinggi, seperti di Papua, Gorontalo, dan Sulawesi Tenggara. Kondisi tersebut tentu saja belum sesuai dengan konsep pertumbuhan inklusif, di mana dalam mencapai pertumbuhan ekonomi maka seluruh lapisan masyarakat harus ikut serta dalam prosesnya dan dapat menikmati hasilnya. Berdasarkan hal tersebut, tujuan penelitian ini adalah untuk mengetahui tingkat capaian pertumbuhan inklusif provinsi di Indonesia pada tahun 2016 dan menganalisis faktor-faktor yang memengaruhi capaian tersebut. Pendekatan penelitian menggunakan 2 metode, yaitu indeks komposit pertumbuhan inklusif yang diadopsi dari McKinley (2010) dan regresi berganda untuk menjawab terkait faktor-faktor yang memengaruhinya. Data yang digunakan bersumber dari Badan Pusat Statistik, Kementerian Kesehatan, dan Bank Indonesia.Hasil analisis menujukkan bahwa ternyata belum ada provinsi di Indonesia yang memiliki capaian pertumbuhan inklusif berkategori unggul (nilai indeks: 8-10) selama tahun 2016. Sebagian besar provinsi di Indonesia mencapai pertumbuhan inklusif dengan kategori memuaskan (nilai indeks: 4-7) dan terdapat dua provinsi yang memiliki kategori tidak memuaskan (nilai indeks: < 4), yaitu ProvinsiPapua dan Nusa Tenggara Timur. Selain itu, penelitian ini menganalisis faktor-faktor yang memengaruhi pertumbuhan inklusif provinsi di Indonesia menggunakan analisis regresi linier berganda. Hasil analisis regresi menunjukkan bahwa pembentukan modal tetap bruto, keterbukaan perdagangan, dan rasio kredit Usaha Mikro, Kecil, dan Menengah (UMKM) terhadap PDRB memengaruhi pertumbuhan inklusif.
Learning and Value Change

Accuracy-first accounts of rational learning attempt to vindicate the intuitive idea that, while rationally-formed belief need not be true, it is nevertheless likely to be true. To this end, they attempt to show that the Bayesian’s rational learning norms are a consequence of the rational pursuit of accuracy. Existing accounts fall short of this goal, for they presuppose evidential norms which are not and cannot be vindicated in terms of the single-minded pursuit of accuracy. I propose an alternative account, according to which learning experiences rationalize changes in the way you value accuracy, which in turn rationalizes changes in belief. I show that this account is capable of vindicating the Bayesian’s rational learning norms in terms of the single-minded pursuit of accuracy, so long as accuracy is rationally valued.
Dynamic voltage restoration with minimum energy injection

Summary form only given, as follows. Voltage sags are one of the most important power quality problems challenging the utility industry. Voltage sags can be compensated for by voltage and power injection into the distribution system. By injecting voltage with a phase advance with respect to the sustained source-side voltage, reactive power can be utilized to help voltage restoration. Hence, the consumption of real power, from the perspective of the energy supply device, can be reduced. This energy-saving voltage injection comes at the expense of an increased voltage injection magnitude, load power swing phase shift and discontinuity of voltage wave-shape. For this reason, several proposed compensation strategies are examined, in term of satisfying custom power while taking into consideration the capacity of the energy-storage device and the voltage injection constraint of the dynamic voltage restorer. Numerical examples are included to illustrate the efficacy of the proposed control strategies.
RECOURSE DISTRIBUTION FOR THE CLOUD COMPUTING WITH NOVEL RUNTIME PARALLEL DATA PROCESSING

In recent years ad-hoc parallel data processing has emerged to be one of the killer applications for Infrastructure-as-a-Service (IaaS) clouds. Major Cloud computing companies have started to integrate frameworks for parallel data processing in their product portfolio, making it easy for customers to access these services and to deploy their programs. However, the processing frameworks which are currently used have been designed for static, homogeneous cluster setups and disregard the particular nature of a cloud. Consequently, the allocated compute resources may be inadequate for big parts of the submitted job and unnecessarily increase processing time and cost. In this paper we discuss the opportunities and challenges for efficient parallel data processing in clouds and present our research project. It is the first data processing framework to explicitly exploit the dynamic resource allocation offered by today's IaaS clouds for both, task scheduling and execution. Particular tasks of a processing job can be assigned to different types of virtual machines which are automatically instantiated and terminated during the job execution.
VOT production in multilingual learners of French as a foreign language: Cross-linguistic influence from the heritage languages Russian and Turkish

Nous analysons la production d’occlusives (non-)voisees en francais langue etrangere par des apprenants plurilingues parlant ou le russe ou le turc comme langue d’origine en plus de leur langue dominante, l’allemand. Les donnees de controle proviennent d’enregistrements realises avec des apprenants monolingues allemands. Les resultats montrent que les apprenants plurilingues sont avantages en comparaison des monolingues par rapport a la production d’occlusives sourdes, ce qui n’est pas valable pour leurs contreparties voisees. Cela suggere que la (non-)aspiration de /p t k/ est perceptivement plus saillante pour les apprenants que la presence ou l’absence du pre-voisement de /b d ɡ/. Nous interpretons nos resultats generaux comme un avantage, du moins partiel, du plurilinguisme lors de l’apprentissage de langues etrangeres.
They Found It-Now Do They Bother? An Analysis of First-Year Synthesis

This paper presents assessment data from a first-year writing library partnership to examine the relationship between student source use and written synthesis. It finds that first-year students could locate peer-reviewed, scholarly sources but that these sources were poorly integrated in their arguments—if they were used at all. In contrast, it finds that students attempted to synthesize their in-class reading material, suggesting that students “tack on” outside sources. Ultimately, this paper argues that librarians may want to consider shifting their instructional focus from traditional one-shot sessions to other solutions recommended by the literature.
The irregularity of weak verbs without vowel alternations in Modern English

Weak verbs in Modern English are sometimes mistakenly identi ﬁ ed with regular verbs. Although most weak verbs are indeed regular, there remain some which belong to the irregular group, for example spend , put , make , burn . Apart from drawing a clearer distinction between strong and weak verbs in relation to the regular and irregular division, the aim of this paper is to explain where the irregularity of these irregular weak verbs comes from and to gather possible relicts still present in Modern English. The paper discusses 56 such irregular weak verbs without vowel alternations and 9 archa-isms preserving traces of such in ﬂ ection. The 56 irregular weak verbs are divided into groups according to the patterns they display and they are additionally marked depending on whether: (1) they have less common irregular preterite and past participle forms, which can be labelled as “literary” or “poetic,” (2) they are literary themselves, (3) they have irregular preterite and past participle forms chie ﬂ y in North American English, (4) they have regular variants. The initial plan included all irregular verbs but the extent of the problem coupled with the editorial limitations as to the size of the paper led to the following decisions: ﬁ rst, to exclude the irregular strong verbs and save them for later analyses, and then, in the remaining irregular weak ones, to remove all those with vowel alternations (like keep , seek , lose , say ) and to concentrate on the verbs without vowel alternations (investigated in the present paper). It is hoped that the aims of this paper as well as their realization can serve to make the content of the historical grammar course more meaningful to students by linking it to the problems present in Modern English and to the why-questions related to the subject of their studies.
EPS-Sensitivity and Mergers

Announcements of mergers where the target is offered stock very often discuss the impact of the deal on the acquirer’s earnings per share (EPS), especially when the deal is EPS-accretive for the acquirer. In this paper, we document that the acquirer’s EPS-sensitivity affects how deals are structured, the premium that is paid, and the types of deals that are done. We provide evidence that acquirer managers prefer to do EPS-accretive deals when (a) shareholder approval is required for deals (b) institutional investor horizon is shorter, and (c) managers’ compensation is tied to EPS. Our results suggest that the relative popularity of deals financed in cash since early 2000 could be a consequence of acquirers’ EPS-sensitivity and low value-multiple acquirers pursuing high value-multiple targets.