Miracle-dz/UniFAR-FTUs huggingface dataset:
TL for mohair traits in South African Angora goats

The aim of this study was to identify QTL associated with mohair production and quality traits in South African Angora goats. Limited research has been performed on QTL influencing the economically important mohair traits of Angora goats. Twelve half-sib Angora goat families with an average of 58 offspring per sire were genotyped for 88 microsatellites covering 22 autosomes. Phenotypic data was collected at second and third shearing for males and females respectively. A linkage analysis was performed under the half-sib model using the least squared regression approach of GridQTL. Three putative QTL were detected for fleece weight on CHI 2, 5 and 24, which corresponds with the locations of keratin and keratin-associated proteins. This study detected two putative QTL associated with mohair fibre diameter (on CHI 4 and 24, respectively), which is the most important pricedetermining trait. Four QTL were detected on CHI 8, 13, 18 and 20 which influence both comfort factor and spinning fineness. The variance explained by the QTL ranged between 6.9% for fibre diameter and 33.6% for standard deviation along the length of the staple. These results reveal segregation of QTL influencing mohair production and quality, and contribute to the understanding of the genetic variation of mohair traits. © 2011 Elsevier B.V. All rights reserved.
Elementary Teachers’ Enactment of the NGSS Science and Engineering Practices

ABSTRACT This paper reports findings from a two-year investigation on the impact of a professional development (PD) program on second grade teachers’ science teaching practice, particularly of the Next Generation Science Standards Science and Engineering Practices (NGSS SEPs). The aims of this study were three-fold: 1) identify which SEPs teachers enacted during classroom instruction at the start and end of the PD; 2) explore the ways in which the SEPs were enacted; and 3) explore trends in self-efficacy and confidence of teaching the NGSS SEPs at mid and end points of the PD compared to the start of the program. Analysis of classroom observations revealed that, at time 2 (end of PD), teachers tended to incorporate more of the practices into instruction, with the greatest increase experienced by SEP 7 Engaging in Argumentation. Students also played a more active role in enacting each practice. Classroom observations revealed that, at both time 1 and time 2, teachers successfully utilized both general and SEP-specific scaffolds to support student enactment. Moreover, rather than teaching each practice in isolation, teachers integrated practices together to reach their lesson objective. While students were able to successfully enact most of the practices, they tended to struggle with specific aspects of argumentation and explanation. Finally, teachers experienced significant growth in self-efficacy and confidence of teaching the SEPs as well as in actual classroom practice.
Understanding the influence of Internet of things (IoT) on individual performance

Nowadays a significant part of the objects (things) surrounding us have embedded technology like sensors, wireless, communication, and data analysis capabilities. Everyday digital artifacts lead us to information based on artifacts known as the Internet of things (IoT). The growing interest in these digital everyday artifacts from end-users, and their impact on use and individual performance were the catalyst for this research. This study aims to understand the perceived value influencing the use of IoT on individuals' performance. We suggest combining the task-technology fit (TTF) and the value-based adoption model (VAM) to evaluate the effect of IoT on individual performance. In this study we will implement an online questionnaire, which will be addressed to an IoT user’s audience. To test the model we used 303 valid responses. Findings suggest that TTF, use, user satisfaction, and perceived usefulness are important drivers to explain Io T individuals’ performance. Moreover, our results reveals that age moderates the relationship between perceived benefits and individual performance. Understanding the implication of IoT on individual performance will foment new insights and advantages for IoT managers and attract potential users.
Using Multiple Intelligences to Increase Reading Comprehension in English and Math.

An action research project described a program for expanding multiple intelligences to increase reading comprehension in both English and math. The targeted population consisted of ninth, tenth, and eleventh grade students located in a south suburb of Chicago, Illinois. The problem of reading comprehension was documented through data revealing large number of students unable to meet the demands of the Illinois Goal Assessment Program (IGAP), local assessments, and classroom activities. Probable cause data revealed students living in low economic conditions, high mobility rates, natural attrition, and poor attendance. The data also indicated students' poor social skills and lack of self-discipline. Additionally, the data revealed a lack of teacher training in multiple intelligences and innovative teaching strategies. A review of solution strategies and analysis of the problem setting resulted in the selection of two major categories of intervention: incorporation of multiple intelligence strategies combined with cooperative learning techniques in English and math units, and the implementation of weekly student observation sheets and anecdotal reflections. Post intervention data indicated an increase in student reading comprehension skills in English and math, and an increase in student learning expectations. (Contains 18 references, and five tables and seven figures of data. Appendixes comprise more than half of the paper and contain survey instruments, journal entries, reading strategies, numerous class and learning activities, cooperative lesson plans, and anecdotal reports.) (RS) ******************************************************************************** Reproductions supplied by EDRS are the best that can be made from the original document. ******************************************************************************** USING MULTILPLE INTELLIGENCES TO INCREASE READING COMPREHENSION IN ENGLISH AND MATH Frank Kuzniewski Mike Sanders Gail Sue Smith Sharon Swanson Carol Urich An Action Research Project Submitted to the Graduate Faculty of the School of Education in Partial Fulfillment of the Requirements for the Degree of Master of Arts in Teaching and Leadership Saint Xavier University & IRI/Skylight Field-Based Masters Program Chicago, Illinois May, 1998 U.S. DEPARTMENT OF EDUCATION Once of Educational Research and Improvement EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) This document has been reproduced as received from the person or organization originating it. 0 Minor changes have been made to improve. reproduction Quality. Points of view o' opinions stated in this docir merit do not necessarily represent official OEFil position or policy. 2 1 PERMISSION TO REPRODUCE AND DISSEMINATE THIS MATERIAL HAS BEEN GRANTED BY
An empirical study on the influencing factors for the over-investment of Chinese SOEs

The efficiency of investment affects the future development of the enterprises. The relevant literature on the corporate investment shows that the information asymmetry and the conflict of agency between the executives and the shareholders of the enterprises have a significant influence on the investment decision-makings. This study uses data of Chinese SOEs to analyze the factors affecting the efficiency of capital allocation of these Chinese SOEs from the perspective of free cash flow, ownership structure, agency costs, financing constraints and government intervention. The results of this study show that the phenomenon of over-investment is relatively obvious among the Chinese state-controlled listed enterprises. The results also show that substantial free cash flow, relatively high ownership concentration and government intervention are the major factors that lead to the over-investment in these Chinese state-owned listed companies. At the meantime, the financing constraints play a positive role in restraining the over-investment of Chinese SOEs, but their effect is quite weak. Moreover, the distortions of the senior executives’ value goals lead to the failure of executive compensation mechanism and the construction of a proper governance system needs to begin with the property rights relations.
The Prosocial-Antisocial Behavior and Empathic Skill Levels of Wheelchair Basketball Players in Sports

This study aims to find out the prosocial and antisocial behavior as well as the empathic skills of wheelchair basketball players in sports. A total of 230 wheelchair basketball players (216 males and 14 females) participated in this study which uses relational screening model. The Prosocial and Antisocial Behavior in Sport Scale (PABSS) and the Interpersonal Reactivity Index (IRI) were used as data collection tools. Independent t-test, Cronbach Alpha, One-Way Anova, Pearson correlation and multiple regression analysis were used for the analysis of data. The data obtained shows that there is a low level, meaningful and positive correlation between the empathic skills of wheelchair basketball players and their tendency for prosocial behavior in sports. In addition, a medium-level, meaningful and negative correlation between their empathic skills and tendency for antisocial behavior was found. It has been concluded that perspective taking, empathic concern and fantasy which are dimensions of empathy do not show a difference in the variable being a national athlete or non-national athlete. It was seen that personal distress is higher in athletes who are not national athletes. As a result of the analysis it was found out that as the antisocial behavior of wheelchair basketball players towards their teammates and opponents increase, their fantasy levels decrease. In light of these findings, it may be said that while emphatic skills promote prosocial behavior in wheelchair basketball players, they decrease antisocial behavior. Based on these results, the empathy training which will be given to athletes to promote prosocial behavior in sports is of great importance .
Engel's Law in the Global Economy: Demand-Induced Patterns of Structural Change, Innovation, and Trade

Endogenous demand composition across sectors due to income elasticity differences, or Engel's Law for brevity, affects (i) sectoral compositions in employment and in value‐added, (ii) variations in innovation rates and in productivity change across sectors, (iii) intersectoral patterns of trade across countries, and (iv) product cycles from rich to poor countries. Using a two‐country model of directed technical change with a continuum of sectors under nonhomothetic preferences, which is rich enough to capture all these effects as well as their interactions, this paper offers a unifying perspective on how economic growth and globalization affect the patterns of structural change, innovation, and trade across countries and across sectors in the presence of Engel's Law. Among the main messages is that globalization amplifies, instead of reducing, the power of endogenous domestic demand composition differences as a driver of structural change.
Masuknya Hermeneutika dalam Lingkup Ilmu Tafsir (Review atas Artikel Sofyan A.P. Kau)

Pada awalnya, Tafsir dan Hermeneutik berawal dari tempat dan tradisi yang berbeda. Tafsir berawal dari belahan Timur Tengah khususnya jazirah Arab dan Hermeneutik berawal dari daratan Eropa. Tafsir muncul dalam tradisi keislaman dengan latar utamanya ada pada teks al-Quran, sementara Hermenutik lahir dalam tradisi nasrani denga latar utamanya teks bible. Namun dalam perjalanannya, antara Tafsir dan Hermeneutik mengalami “pertemuan” konsep yang hampir tidak bisa dielakkan. Pertemuan konsep ini dimungkinkan karena Tafsir dan Hermeneutik bekerja pada ranah yang sama, yaitu menjelaskan dan menafsirkan teks, walaupun teks-nya mempunyai sifat yang berbeda. Para peminat kajian Hermeneutik termasuk hubungannya dengan Tafsir cukup banyak. Para peminat ini menumpahkan pemikirannya diantaranya melalui artikel yang dimuat pada beberapa jurnal ilmiah. Diantara artikel yang terpublikasikan adalah artikel yang berjudul “Hermeneutika Gadamer dan Relevansinya dengan Tafsir” karya Sofyan A.P. Kau pada Jurnal Farabi vol. 11 no. 1 Juni 2014. Artikel ini cukup menarik karena menyajikan suatu argumen adanya pertemuan salah satu teori dalam Hermeneutik dengan teori yang ada pada Tafsir. Dan, artikel yang berjudul “masuknya Hermenutika dalam Lingkup Tafsir”adalah merupakan pembacaan ulang (review) atas artikel yang ditulis oleh Sofyan A.P Kau dengan judul Hermeneutika Gadamer dan Relevansinya dengan Tafsir . Pemikiran-pemikiran Gadamer dalam Hermeneutik berpusat pada pemahaman melalui berbagai teori yang dikemukannya, ternyata memiliki titik kesamaan dan kemungkinan juga digunakan oleh para mufassir dalam menghasilkan tafsir Al-Qur’an dan Hadits. Teori-teorinya yang dirangkum dalam empat butir seperti prasangka hermeneutik, lingkaran hermeneutika, “Aku-Engkau” menjadi “Kami” dan juga hermeneutika dialektis merupakan teori-teori yang juga digunakan dalam ilmu tafsir. Sehingga dikatakan bahwa hermeneutika dan tafsir merupakan tataran ilmu yang fungsinya sama yaitu menafsirkan
Online training of sportive technicians: A present with a future

In this paper, we present the technological possibilities of sports technicians during their distance training. It does special emphasis in the role that the communication has for all participants and as it differentiates of the face-to-face delivery to benefit those sportive specialities with fewer practitioners and/or with heterogeneous distribution in the territory. Besides, this training delivery contributes to the application of the new knowledge to the sessions and trainings in which they participate. The research begins with the following questions: (a) does access to the courses facilitate the fact that it is online; and (b) how does the use of the platform contribute to communication between participants? The study focuses on participants during their first on-line course under the current legislation of the sportive technicians of the distinct sportive specialities of the Royal Spanish Federation of Skating. The methodology used is qualitative for interviewing the coordinator and both qualitative and quantitative for students’ and instructors’ questionnaires. This research concludes with a clear need for teachers to be taught using the same technologies that they later have to deliver and, that the communication in the platform is rather limited. Extending the kind of tools that the platform has is a key factor to give an array of possibilities of online training.
Calculus Self-Efficacy Inventory: Its Development and Relationship with Approaches to learning

This study was framed within a quantitative research methodology to develop a concise measure of calculus self-efficacy with high psychometric properties. A survey research design was adopted in which 234 engineering and economics students rated their confidence in solving year-one calculus tasks on a 15-item inventory. The results of a series of exploratory factor analyses using minimum rank factor analysis for factor extraction, oblique promin rotation, and parallel analysis for retaining extracted factors revealed a one-factor solution of the model. The final 13-item inventory was unidimensional with all eigenvalues greater than 0.42, an average communality of 0.74, and a 62.55% variance of the items being accounted for by the latent factor, i.e., calculus self-efficacy. The inventory was found to be reliable with an ordinal coefficient alpha of 0.90. Using Spearman’ rank coefficient, a significant positive correlation ρ ( 95 ) = 0.27 , p < 0.05 (2-tailed) was found between the deep approach to learning and calculus self-efficacy, and a negative correlation ρ ( 95 ) = − 0.26 , p < 0.05 (2-tailed) was found between the surface approach to learning and calculus self-efficacy. These suggest that students who adopt the deep approach to learning are confident in dealing with calculus exam problems while those who adopt the surface approach to learning are less confident in solving calculus exam problems.
Toward a brain-computer interface for speech restoration

Restoring natural speech in paralyzed and aphasic people could be achieved using a brain-computer interface controlling a speech synthesizer in real-time. The aim of this thesis was thus to develop three main steps toward such proof of concept.First, a prerequisite was to develop a speech synthesizer producing intelligible speech in real-time with a reasonable number of control parameters. Here we chose to synthesize speech from movements of the speech articulators since recent studies suggested that neural activity from the speech motor cortex contains relevant information to decode speech, and especially articulatory features of speech. We thus developed a speech synthesizer that produced intelligible speech from articulatory data. This was achieved by first recording a large dataset of synchronous articulatory and acoustic data in a single speaker. Then, we used machine learning techniques, especially deep neural networks, to build a model able to convert articulatory data into speech. This synthesizer was built to run in real time. Finally, as a first step toward future brain control of this synthesizer, we tested that it could be controlled in real-time by several speakers to produce intelligible speech from articulatory movements in a closed-loop paradigm.Second, we investigated the feasibility of decoding speech and articulatory features from neural activity essentially recorded in the speech motor cortex. We built a tool that allowed to localize active cortical speech areas online during awake brain surgery at the Grenoble Hospital and tested this system in two patients with brain cancer. Results show that the motor cortex exhibits specific activity during speech production in the beta and gamma bands, which are also present during speech imagination. The recorded data could be successfully analyzed to decode speech intention, voicing activity and the trajectories of the main articulators of the vocal tract above chance.Finally, we addressed ethical issues that arise with the development and use of brain-computer interfaces. We considered three levels of ethical questionings, dealing respectively with the animal, the human being, and the human species.
A Comparison of Nursing and Teacher Education Students' Information Literacy Learning: Results from Norway, 2016

Ellen Nierenberg is University Librarian at Hedmark University of Applied Sciences; e-mail: ellen. nierenberg@hihm.no. ©2017 Ellen Nierenberg, Attribution-NonCommercial (http://creativecommons. org/licenses/by-nc/4.0/) CC BY-NC.
Urban & Online: Social Media Use among Adolescents and Sense of Belonging to a Super-Diverse City

In a world of continuous migration, super-diverse cities consist of a multitude of migrants and non-migrants from a variety of cultural backgrounds. Yet one characteristic they all have in common is the place where they currently live. In addition, both groups are active users of social media, especially the young. Social media provide platforms to construct and negotiate one’s identity—particularly the identity related to where one lives: urban identity. This article presents the results of a survey study (N = 324) investigating the relationships between social media engagement and identity construction among migrant and non-migrant adolescents in the super-diverse city of Rotterdam, the Netherlands. It was found that urban identity was significantly higher for migrants than non-migrants. Certain aspects of social media engagement predicted urban identity in combination with social identity. Finally, social media engagement was found to be positively related to group self-esteem.
Effect of Cognitive-Behavioural Group Guidance on Entrepreneurial Intention Among University Sandwich Education Students

OBJECTIVE: The study objective was to determine the effects of cognitive-behavioural group guidance on entrepreneurial intention among university sandwich education students. MATERIALS & METHOD: The design of the study was a group randomized trial involving pretest and posttest, while the area of the study was a federal university in South-East Nigeria. Entrepreneurial Intention Questionnaire (EIQ) was used for data collection while the data collected were analysed through analysis of covariance with repeated measures. RESULTS: The results indicated that there was no significant difference between the participants’ entrepreneurial intention in the treatment and no-treatment control groups at the initial measure; and that after cognitive-behavioural group guidance intervention, there was a significant increase in entrepreneurial intention among the participants in the treatment group comparing to their counterparts in the no-treatment control group. CONCLUSION: Cognitive-behavioural group guidance was effective in increasing entrepreneurial intention among university sandwich education students. It was therefore concluded that counsellors should adopt the techniques used in the study to help individuals increase their entrepreneurial intention, and that cognitive-behaviour group guidance should be adopted as counselling approach for helping university students develop intentions to venture into entrepreneurial business.
Concurrency bug detection through improved pattern matching using semantic information = 시맨틱 정보를 이용한 패턴 매칭을 통한 동시성 결함 검출

Many software systems today are concurrent programs as multi-core processors become popular. However, the correctness of an industrial-size concurrent program (e.g. operating system) is difficult to achieve by the traditional testing or model checking technique. In this research, we propose a light-weight concurrency bug detection technique based on bug pattern matching targeting for Linux kernel source code. In order to understand concurrency bugs (e.g. deadlock, data race), we first survey the previously reported bugs detected from Linux file systems, and then classify the bugs with respect to the five attributes: symptom, fault, resolution, synchronization primitives, and synchronization granularity. Second, we identify ten concurrency bug patterns. And then we develop the bug pattern detectors and applied to the Linux file systems. Finally, and foremost, we improve the accuracy of the concurrency bug detection technique by enhancing semantic information in pattern matching. We demonstrate the effectiveness of our technique through detection of concurrency bugs in the Linux file systems.
Integrated Schools and Social Cohesion in Postconflict Srebrenica: Bosniak Youths’ Views of Their Schooling Experiences

Bosnia and Herzegovina is a postconflict nation challenged with interethnic reconciliation. This study sought to understand the views of Bosniak (Muslim) youths on their schooling experiences in Srebrenica. Their voices can provide meaningful insights into the reality of the segregated education system and the role of schools in affecting social cohesion. The data were primarily collected through 10 focus-group interviews with Bosniak youths. Study participants appreciated the religious subject of Islam, while expressing discomfort and resentment at being separated from their classmates in other ethnonational subjects (history/geography and language). They generally appreciated learning with the Serb students in an integrated environment. The study indicates that these youths developed a resilient attitude to claim the normality of their school life, despite the existing interethnic tensions and the resulting segregated system. The study also affirms the important role of the secondary school as a place of interaction and intercultural learning.