Miracle-dz/UniFAR-FTUs huggingface dataset:
Translation as a Learning Method in English Language Teaching

The present paper focuses on the application of translation to help learners acquire, develop and strengthen their knowledge and competence in the English language. Translation integrated into the language learning activity along with generally used ones, e. g. reading, listening, writing, and vocabulary development could be defined as “pedagogical tool”, considering that its purpose is to teach a language. Translation activities forces students to communicate both ways: into and from the foreign language. While translating students are incited to notice differences in structure and vocabulary, to strengthen grammatical competence, to shape their own way of thinking and to correct habitual errors that could be remained unnoticed. Students can make the best out of their learning, if they are encouraged to use translation skills properly. Translation activities are used in the advanced English learning programmes at Kaunas University of Technology. This paper is based on a brief theoretical literature, the analysis of the activities in the language classroom, and the analysis of the data of the survey. The findings of the survey suggest that translation can be used in the English language learning course in order to enhance students’ foreign language skills. DOI: http://dx.doi. org/10.5755/j01.sal. 0.21. 1469
Fault characterization, testing considerations, and design for testability of BiCMOS logic circuits

The results of a simulation-based fault characterization study of BiCMOS logic circuits are given. Based on the fault characterization results, the authors have studied different techniques for testing BiCMOS logic circuits. The effectiveness of stuck-at fault testing, stuck-open fault testing, delay fault testing, and current testing in achieving a high level of defect coverage is studied. A novel BiCMOS circuit structure that improves the testability of BiCMOS digital circuits is presented. >
Creating and working with spoken language corpora in EXMARaLDA

Spoken language corpora— as used in conversation analytic research, language acquisition studies and dialectology— pose a number of challenges that are rarely addressed by corpus linguistic methodology and technology. This paper starts by giving an overview of the most important methodological issues distinguishing spoken language corpus workfrom the work with written data. It then shows what technological challenges these methodological issues entail and demonstrates how they are dealt with in the architecture and tools of the EXMARaLDA system.
The Application of Simulation: A Survey of Industry Practice

A survey of nonacademic users of computer simulation explored such issues as interest in simulation as a method of analysis, the functional areas which use simulation, the departments where simulation models are developed, the method of selecting a programming language for coding a simulation model, the popularity of various programming languages for simulation applications, and problems associated with the application of simulation. Current practices for measuring the effectiveness and suggestions for improving the use of simulation are discussed.
The relation between learning mathematics and students’ competencies in undesrtanding texts

This study was a descriptive study that aimed to gain an overview on the relation between learning mathematics and students’ competencies in understanding texts. This research was classified as an ex post facto study due in part to the variable studied is the variable that was already happening. While the technique of taking the sample using stratified proportional sampling techniques. These techniques have been selected for the condition of the population, in the context of learning mathematics, diverse and also tiered. The results of this study indicate that there is a relationship between learning mathematics and students’ competencies in understanding texts.
The Impact of Paging vs. Scrolling on Reading Online Text Passages

In a previous issue of Usability News, we examined the use of paging vs. scrolling for the presentation of search results. In that study we found that a moderate amount of scrolling (fifty links per page) was preferred to search result presentations that required either a large or small amount of scrolling (one-hundred links per page and ten links per page, respectively). Participants were also fastest at searching in the fifty-link condition. In this study, we examined the use of paging vs. scrolling in reading passages, including participants' reading comprehension in paging and scrolling conditions. Dyson and Kipping (1998) found that participants read through paged documents faster than scrolled documents, but showed no differences in reading comprehension. METHOD A Pentium II based personal computer, with a 60 Hz, 96dpi 17" monitor with a resolution setting of 1024 x 768 pixels was used. Content for the passages came from Barron's "Passkey to the ACT" (2001) study guide. The articles had a mean of 713.7 words (S.D. = 36.83). The passages were presented in 10 point Verdana. Participant performance was tracked using Ergobrowser TM software.
Research on the deep learning of the small sample data based on transfer learning

The Convolutional Neural Network of Deep Learning has been a huge success in the field of image recognition, however, it requires a lot of data samples to train a network of deep learning. In actual work, it’s too difficult to get a large number of training samples, and it will be easy to overfitting under the condition of the limited dataset. According to this problem, design a kind of Deep Convolutional Neural Network which based on the Transfer Learning to solve the problem of the small sample dataset. First of all, it uses the method of Data Augmentation to enlarge the number of sample dataset. Secondly, it uses the Transfer Learning to transfer the trained network (CNN) from the big sample dataset to our small sample dataset for secondary training, It use a Global Average Pooling instead of the fully connected layers to train the network, and wo use Soft max for classification. The method solves the problem of the small sample dataset in the deep learning, and improve the operation efficiency. The ex.
Developing an Instrument for Measuring E-Commerce Dimensions

MIS literature has not adequately addressed the measurement of electronic commerce dimensions. Measures are yet to be proposed to assess the effect of electronic customer relationship management (CRM) on customer loyalty. This paper presents the results of a study that was a first effort toward this end. The goal of this paper is to describe the theoretical underpinnings of three critical dimensions of electronic commerce and to develop instruments for measuring them: CRM, Internet's web tools and customer loyalty. Data from 170 information technology (IT) firms were used to assess the measures, using the PLS (Partial Least Squares) techniques and SPSS software. Practical and theoretical implications, recommendations, and directions for future research are offered.
EFEKTIVITAS PROGRAM RESITASI BERBASIS KOMPUTER UNTUK MENINGKATKAN PENGUASAAN KONSEP MAHASISWA TENTANG GAYA DAN GERAK

We have developed a computer-assisted recitation program to improve studentsâ€™ conceptual understanding about force and motion. The program consists of multiple-choices questions with immediate feedback. The focus of this research was to examine the effectiveness of the program to achieve the goal, using one group pretest-posttest design. Pretest and posttest used the same instrument. Pretest was administered one week after the class discussed kinematics and Newtonâ€™s laws of motion, whereas the posttest was administered three weeks later when the students had utilized the program for one week. Subject consisted of 35 first year physics education students enrolled in introductory physics, in State University of Malang. The research found that the program significantly improved studentsâ€™ conceptual understanding with N-gain of 0.31 and d-effect size of 1.46.
Dynamic Resource Allocation of Random Access for MTC Devices

In a long term evolution‐advanced (LTE‐A) system, the traffic overload of machine type communication devices is a challenge because too many devices attempt to access a base station (BS) simultaneously in a short period of time. We discuss the challenge of the gap between the theoretical maximum throughput and the actual throughput. A gap occurs when the BS cannot change the number of preambles for a random access channel (RACH) until multiple numbers of RACHs are completed. In addition, a preamble partition approach is proposed in this paper that uses two groups of preambles to reduce this gap. A performance evaluation shows that the proposed approach increases the average throughput. For 100,000 devices in a cell, the throughput is increased by 29.7% to 114.4% and 23.0% to 91.3% with uniform and Beta‐distributed arrivals of devices, respectively.
Built-in self-diagnosis for repairable embedded RAMs

A method of built-in self-diagnosis (BISD) for repairable, embedded static RAMs (SRAMs) is presented. The BISD circuit, with self-repair, requires about 5% extra area in a 64-kb SRAM. The circuit contains a small reduced-instruction-set processor, which executes diagnosis algorithms stored in a ROM. These algorithms employ hybrid serial/parallel operations when external repair is available or modular operations when self-repair is required. The algorithms, hardware design, and design costs and tradeoffs are discussed. <<ETX>>
Completion Time Dynamics For Masters And Doctoral Studies At Makerere University

This paper examines the dynamics of completion time of masters studies and how such dynamics relate to those of doctoral studies at Makerere University, Uganda. The assessment is based on administrative data of 605 masters degree students at the University in the 2004 and 2005 enrollment cohorts. The total elapsed time from first enrollment to submission of final dissertation copy was adopted as a measure of completion time. A time-to-event approach in a Cox model was applied in the investigations. A median completion time of 3.8 years (range, 1.85.9) suggests a delayed completion of studies. The established associations, modeled by a range of candidate, candidature, and institutional variables including discipline area corroborate the results obtained by the analysis of doctoral completion time at the University. The findings suggest that masters completion dynamics mirror those of doctoral studies at the University.
Energy Efficiency in Wireless Networks via Fractional Programming Theory

This monograph presents a unified framework for energy efficiency maximization in wireless networks via fractional programming theory. The definition of energy efficiency is introduced, with reference to single-user and multi-user wireless networks, and it is observed how the problem of resource allocation for energy efficiency optimization is naturally cast as a fractional program. An extensive review of the state-of-the-art in energy efficiency optimization by fractional programming is provided, with reference to centralized and distributed resource allocation schemes. A solid background on fractional programming theory is provided. The key-notion of generalized concavity is presented and its strong connection with fractional functions described. A taxonomy of fractional problems is introduced, and for each class of fractional problem, general solution algorithms are described, discussing their complexity and convergence properties. The described theoretical and algorithmic framework is applied to solve energy efficiency maximization problems in practical wireless networks. A general system and signal model is developed which encompasses many relevant special cases, such as one-hop and two-hop heterogeneous networks, multi-cell networks, small-cell networks, device-to-device systems, cognitive radio systems, and hardware-impaired networks, wherein multiple-antennas and multiple subcarriers are possibly employed. Energy-efficient resource allocation algorithms are developed, considering both centralized, cooperative schemes, as well as distributed approaches for self-organizing networks. Finally, some remarks on future lines of research are given, stating some open problems that remain to be studied. It is shown how the described framework is general enough to be extended in these directions, proving useful in tackling future challenges that may arise in the design of energy-efficient future wireless networks.
DEVELOPMENT AND TESTING OF DYNAMIC TRAFFIC ASSIGNMENT AND SIMULATION PROCEDURES FOR ATIS/ATMS APPLICATIONS

Foreword The ability to model vehicular flows in traffic networks under real-time information, and to provide system users with route guidance information, constitute essential methodological components required to support the successful operation of Advanced Traveler Information Systems and Advanced Traffic Management Systems. This report describes the methodologies and procedures developed through a contract to the University of Texas at Austin, in collaboration with the University of Maryland, to address these essential needs. Specifically, a simulation-assignment methodology has been developed to describe user's path choices in the network in response to real-time information, and the resulting flow patterns that propagate through the network, yielding information about overall quality of service and effectiveness, as well as localized information pointing to problem spots and opportunities for improvement. This methodology is intended for use off-line for evaluation purposes, or on-line for prediction purpose in support of advanced traffic management functions. In additional, algorithmic procedures have been developed to determine the best paths to which users should be directed so as to optimize overall system performance. Powerful extensions to incorporate multiple user classes are also described as well as strategies for real-time operational implementation. Taken collectively, and individually, the procedures described in this report constitute a significant advancement in the state of the art of traffic modelling and dynamic network analysis, and an important step towards the realization of intelligent vehicle-highway systems. Notice This document is disseminated under the sponsorship of the Department of Transportation in the interest of information exchange. The United States Government assumes no liability for its contents or use thereof. The contents of this report reflect the view of the contractor who is responsible for the accuracy of the data presented herein. The contents do not necessarily reflect the official policy of the Department of Transportation. The United States Government does not endorse products or manufacturers. Trade or manufactures' names appear herein only because they are considered essential to the object of this document. escribes the dynamic assignment and traffic simulation models developed to support the functional operating core of ATIS (Advanced Traveler Information Systems) and ATMS (Advanced Traffic Management Systems). Two principal functions are addressed by the assignment simulation models in this context. The first consists of determining, in real-time, the network paths to which the drivers should be directed in going toward their destination, so as to achieve system-level objectives. The second is the prediction or description of the …
A study to determine if in-depth professional development provided to extension educators on program development has an effect on planning, implementing, and evaluating extension educational programs

A Study to Determine if In-Depth Professional Development Provided to Extension Educators on Program Development Has an Effect on Planning, Implementing, and Evaluating Extension Educational Programs. (May 2007) Darrell Allen Dromgoole, B.S. Texas A&M University; M.Ed., Texas Tech University Co-Chairs of Advisory Committee: Dr. Scott R. Cummings Dr. Steven D. Fraze Program excellence in Extension is contingent on an Extension educator’s ability to identify issues, prioritize these issues, implement educational programs to address these issues and resulting in measurable outcomes, evaluate these issues and utilize the results of these evaluations to redirect educational programs, and utilize these evaluation results as the foundation for program interpretation. The future success of Extension programs is dependent on the capacity of Extension to retain highly qualified Extension educators and the ability of these Extension educators to implement the process of Extension program development. A comprehensive professional development intervention, entitled the “South Region Excellence in Programming Academy,” was designed and implemented from May 2006 to November 2006 to provide early to mid-career Extension educators with comprehensive instruction related to program planning, program implementation and evaluation and interpretation. A Pre-experimental research, One-Group pre-test-post-
Low-power 200-Msps, area-efficient, five-tap programmable FIR filter [in BiCMOS]

A two-sample per cycle, programmable five-tap, area-efficient finite-impulse response (FIR) filter for hard-disk drive PRML read channels is presented. The design is optimized for low power, achieving a figure of 6.25 /spl mu/W/MHz with a gate density of 2.3 K, by a combination of algorithmic, architectural, circuit-level, and layout techniques.
DEVELOPMENT OF IM YUNIC FOR SVA LEARNING DEVICE FOR GRAMMATICAL PROFICIENCY

The study developed the IM YUnIC for SVA in response to a desire to offer an interactive, modern-inspired traditional learning device for teaching subject and verb agreement (SVA) among Grade 7 students. Adopting the descriptive research design, data were obtained from the interview with the cooperating teacher, the classroom observation using the device in two randomly chosen Grade 7 sections composed of 76 students of Nicolas L. Galvez Memorial National High School (NLGNHS) in Bay, Laguna, the test, and the survey. Data were analyzed using both qualitative and quantitative methods. Findings revealed that, based on the teacher’s assessment and periodical test, the students’ level of grammatical proficiency was “developing” with grammar being taught implicitly using teacher-made materials. With its interactive features to enhance knowledge on subject and verb agreement, IM YUnIC for SVA was developed and presented to teachers and students. It earned positive feedback in terms of its appearance, impact, utility, and content. A ten-item test was then administered, and results showed that students mean scores were 5.51 and 5.05, suggesting that students need more practice. Hence, IM YUnIC for SVA may not easily develop students’ grammatical proficiency, but it can offer potential benefits.
Effectiveness of semantic cloze procedure to improve reading comprehension of weak readers in a primary school

The ability to read and write constitutes the fundamental concept of literacy and is essential to successful academic performance in school. Children who are struggling in schools are often identified as weak readers. They can be classified as either reluctant readers or disabled readers (excluding the illiterates). The former lacks the motivation to want to read while the latter is often identified as having specific reading difficulties (e.g., dyslexia and hyperlexia). Hence, such readers continue to perform poorly in class tests and school examinations. This study focused on a group of 23 Primary 4 children, who had continuously failed in their English language examinations from Primary 1 to 3 levels. A pre-/post-treatment design was used to determine whether the 23 subjects who underwent a 6-month semantic cloze procedure as a remedial teaching strategy showed significant improvement in their reading comprehension (cloze). The findings of the study suggested that whilst the subjects showed an improvement in their performance in cloze comprehension in their Semestral Examination 2 with a significant effect size as a result of the treatment, no significant inter-correlation among/between the key elements, i.e., vocabulary, word reading, reading comprehension and reading experience, was found. Effectiveness of Semantic Cloze Procedure to Improve Reading Comprehension of Weak Readers in a Primary School The ability to read and write constitutes the fundamental concept of literacy (Saksena, 1970). Chia (1991, 1994) describes literacy as a synergy of reading and writing connected by a third cognitive process called fantasizing, which Donelson and Nilson (1980) describe as the active role played by a reader/writer in creating the literary work and also involving the evocation of the ‘lived through’ experience of the reader/writer during the transaction with the text. According to Rosenblatt (1986), the ‘lived through’ experience evolves through attention on the part of the reader/writer to the personal meaning of the text. Fantasizing often plays an important role in allowing the reader/writer to enter the meta-world of the text, thereby making the stories “come to life” for the reader/writer (Long, Winograd, & Bridge, 1989; Sadoski, Goetz, & Kangiser, 1988).
A Closer Look at Instructor-Student Feedback Online: A Case Study Analysis of the Types and Frequency

It is widely recognized that good teaching includes instructor-student feedback, and in online courses, feedback takes a variety of forms, including both synchronous and asynchronous interactions. To understand better the types and frequency of instructorstudent feedback interactions, this case study used document analysis to examine feedback in an online course over a full semester. Feedback interactions were coded as either individual or team feedback and also then coded as either corrective, motivational, or technology-related. With 1,744 recorded instructor-student feedback interactions, corrective feedback accounted for nearly 70% of all feedback (given more often to teams than individuals); motivational feedback was 20% (given more often to individuals than teams); and technology feedback was 10% (given more often to individuals than teams). Additionally, feedback differed over the duration of the semester, with motivational feedback being the greatest at the beginning of the term. An examination of individual versus team differences revealed that teams tended to receive a greater amount of corrective feedback, whereas individuals required greater motivational feedback. Implications of the study include that instructors may not be conscious of the proportions of corrective versus motivational feedback to their online students. Instructors are also encouraged to take certain measures to reduce the burden of technology feedback required of the instructor, since students will constantly demand such non-pedagogical assistance.