Miracle-dz/UniFAR-FTUs huggingface dataset:
Dropping of the Class-Prefix Consonant, Vowel Elision and Automatic Phonological Mining in Embosi (Bantu C 25)

The aim of this paper is two-fold : 1) to provide a new analysis of a set of phonological processes in Embosi (Bantu C 25), particularly of the dropping of the class prefix consonant, proposing that it involves dissimilatory processes and compensatory lengthenings due to an empty C position, and vowel elision at phonological word boundaries; 2) to introduce an automatic speech-to-text alignment system in Embosi (with a word dictionary) and investigate how it can be used for phonetic/phonological data mining, focusing on vowel elision and on compensatory phenomena at phonological word junctions. Embosi is a Bantu language (C 25) spoken in Congo (Brazzaville) by an estimated number of 140000 speakers in the Cuvette Region (INS, Congo). The number of speakers in Brazzaville itself and in the diaspora is unknown. This paper is mainly based on the variety of Embosi spoken in Boundji and its vicinity.
Rigorous electromagnetic modeling of chip-to-package (first-level) interconnections

A methodology is presented for the rigorous electromagnetic analysis of pulse transmission through first-level interconnects. The methodology combines a full-wave, vectorial, time-dependent Maxwell's equations solver with SPICE circuit models for the nonlinear drivers, to facilitate the accurate modeling of the electromagnetic phenomena occurring at the chip-to-package interface. Comparisons of the results obtained using this method with others calculated using SPICE simulations are used to validate the method and demonstrate its application in the electromagnetic modeling of high-speed packaging structures. <<ETX>>
IS THE PALATE AN OPTIMAL SITE FOR MINISCREW PLACEMENT

To test the hypothesis that palatal bone is able to support miniscrews when subjected to forces generatedduring orthodontic treatment. Finite element method software ANSYS10.0 was used. Tests were done in a state of osseointegration and non osseointegration. Two different palatal regions i.e. one layer of cortical bone and underlying trabecular bone; & two layers of cortical bone with trabecular bone in between were involved. In both cases, for each configuration, two different forces of 240 gfand480 gf were applied to the screws. These load values corresponded to those generated by the application of an orthodontic appliance to the miniscrew. The results showed that miniscrew inserted into the palate can be anchored to bone and loaded within orthodontic force range without bone fracture. The osseointegrated system was characterized by lower level of stress than non osseointegrated but anchorage within the second layer of cortical bone reduced the stress on the trabecular bone, improving stability of the implant. We conclude that miniscrews loaded within the normal orthodontic force range do not exceed stress levels that lead to bone fracture.
A new way to share, organize and learn from experiments

Thousands of machine learning research papers contain extensive experimental comparisons. However, the details of those experiments are often lost after publication, mak- ing it impossible to reuse these experiments in further research, or reproduce them to verify the claims made. In this paper, we present a collaboration framework designed to easily share machine learning experiments with the community, and automatically organize them in public databases. This enables immediate reuse of experiments for subsequent, possibly much broader investigation and offers faster and more thorough analysis based on a large set of varied results. We describe how we designed such an experiment database, currently holding over 650,000 classification experiments, and demonstrate its use by answering a wide range of interesting research questions and by verifying a number of recent studies.
PENGARUH PENERAPAN BLENDED LEARNING BERBASIS WHITEBOARD ANIMATION VIDEO TERHADAP KEMAMPUAN PEMECAHAN MASALAH MATEMATIKA SISWA KELAS X MIA NON UNGGULAN SMA NEGERI 1 SINGARAJA

Penelitian ini bertujuan untuk mengetahui apakah kemampuan pemecahan masalah matematika siswa yang mengikuti blended learning berbasis whiteboard animation video lebih baik daripada kemampuan pemecahan masalah matematika siswa yang mengikuti pembelajaran konvensional. Jenis penelitian ini adalah eksperimen semu dengan desain penelitian adalah Post Test Only Control Group Design . Adapun populasi penelitian ini adalah seluruh siswa kelas X MIA Non Unggulan SMA Negeri 1 Singaraja tahun ajaran 2014/2015. Sampel dalam penelitian ini adalah siswa Kelas X MIA6 dan X MIA7 yang diambil menggunakan teknik sampel random rumpun. Data dikumpulkan melalui tes kemampuan pemecahan masalah matematika yang diberikan kepada siswa dalam bentuk tes uraian dan diberikan di akhir penelitian. Data hasil tes kemampuan pemecahan masalah matematika dianalisis menggunaan Uji-t satu ekor dengan taraf signifikansi 5%. Hasil penelitian menunjukkan bahwa t_hitung=7,598914 > t_tabel=1,6716. Hal ini menyebabkan bahwa H_0 harus ditolak yang artinya bahwa kemampuan pemecahan masalah matematika siswa yang mengikuti blended learning berbasis whiteboard animation video lebih baik daripada kemampuan pemecahan masalah matematika siswa yang mengikuti pembelajaran konvensional. Hal ini terjadi karena adanya fakta-fakta empiris bahwa siswa yang mengikuti blended learning berbasis whiteboard animation video lebih aktif bertanya, lebih bersemangat dalam memecahkan masalah matematika, dan lebih memiliki rasa ingin tahu yang tinggi dibandingkan dengan siswa yang mengikuti pembelajaran konvensional. Kata Kunci : Blended Learning, Whiteboard Animation Video, pemecahan masalah matematika This study is aimed at finding out whether the mathematical problem solving ability of students who took the blended learning based on whiteboard animation video is better than those who took the conventional learning. This study was a quasi experiment and used a Post Test Only Control Group Research Design. The population of this research was the non seed of grade X MIA of SMA N 1 in Singaraja. The selected sample was the class XMIA6 and XMIA7, which were taken by using cluster random sampling technique. The data of this research was the mathematical problem solving ability, which was gathered by essay test and analyzed using one tail independent t-test with the 5% of significance level. The study result showed that the t_score = 7,598914 and t_table = 1,6716. It can be concluded that the nul hypothesis must be rejected. This indicated that the mathematical problem solving ability who of students took the blended learning based on whiteboard animation video is better than those who took the conventional learning. This result was supported by the findings that the students who took the blended learning based on whiteboard animation video were more active, more enthusiastic, and more curious than those who took the conventional leraning. keyword : Blended Learning, Whiteboard Animation Video, Problem Solving ability
Predicting Hypoglycemia in Diabetic Patients using Machine Learning Techniques

A Master of Science thesis in Computer Engineering by Khuloud Abdel Aziz Safi Eljil entitled, "Predicting Hypoglycemia in Diabetic Patients using Machine Learning Techniques," submitted in June 2014. Thesis advisor is Dr. Ghassan Qaddah and thesis co-advisor is Dr. Michel Pasquier. Available are both soft and hard copies of the thesis.
A Validation Process for Underwater Localization Algorithms

This paper describes the validation process of a localization algorithm for underwater vehicles. In order to develop new localization algorithms, it is essential to characterize them with regard to their accuracy, long-term stability and robustness to external sources of noise. This is only possible if a gold-standard reference localization (GSRL) is available against which any new localization algorithm (NLA) can be tested. This process requires a vehicle which carries all the required sensor and processing systems for both the GSRL and the NLA. This paper will show the necessity of such a validation process, briefly sketch the test vehicle and its capabilities, describe the challenges in computing the localizations of both the GSRL and the NLA simultaneously for comparison, and conclude with experimental data of real-world trials.
Centralized power control in cellular radio systems

This paper describes a centralized power control scheme for cellular mobile radio systems. The power for the mobiles in the proposed scheme is computed based on signal strength measurements. All the mobiles using the same channel in this scheme will attain a common carrier-to-interference ratio. The proposed scheme is analyzed and shown to have an optimal solution. >
Evaluating the Effectiveness of Visualization Design for Twitter Conversations on Academic Topics

Our research focuses on evaluating the efficiency of the combination of the computed scores and visual representations of features. W conducted a two-phased user study. The first phase were designed to determine the important text features. In the first phase, participants were asked to rate a set of Twitter data and prominent features. After the key feature set was determined, we started to evaluate the two sources of results to be visualized: 1) informativeness and relatedness scores and 2) visual features. We built four versions of visualizations to represent the full projection of the two sources. In the second phase of the user study, 48 participants were recruited to do a between-subject user study for evaluating the four versions of visualizations using the same set of information seeking tasks. The study shows that the visualization combining scores and features perform the best in efficiency for browsing tasks.
Dynamic Functional Connectivity Reveals Temporal Differences in Wake and Stage-2 Sleep

i Acknowledgments . ii List of Figures . vi 1.0 Introduction . 1 1.1 A Historical Overview . 1 1.1.2 Theological Account . 1 1.1.1 Philosophical Account . 2 1.2 Current Knowledge . 3 1.3 Potential Caveats . 6 2.0 Methods. 8 2.1 Participants . 8 2.2 Experimental Procedure . 9 2.3 Data Acquisition and Preprocessing . 9 2.4 Group ICA and Post-Processing . 12 2.5 Stationary Mean FC Estimation . 15 2.6 Dynamic FC Estimation . 15 2.6 Dynamic Metrics . 18 2.7 Reliability of Connectivity States and Dynamic Metrics . 19 2.8 Estimating Heart Rate . 19 3.0 Results . 20 3.1 Stationary Mean FC . 20 3.2 Dynamic FC . 21 3.2.1 Connectivity States and Frequency . 21
Experimental Validation of

This paper presents the experkntal validation of the distributed execution of recovery blocks, in short distributed recovery block (IRB). The experiment ws conducted on a tightly coupled network (m and a time-critical application ws used as a testbed for the experiment. The concept of the IRE3 is the canbination of distributed processing and RB (Recovery Block). It is also an approach for unified treatmnt of both hardware and softwre faults. The primary objective of this experiment was to damnstrate the efficiency of the IRB scha in a tightly coupled real-tirne distributed canputing envirorment. This experirnent required tnrploying the IRE3 schm in an application program and masuring its inpact on the systan perfomnce. The min interest in measurmnts is to find the tim overhead of the IRE3 scha, i.e., the overhead of the error detection and recovery activity.
Internal Models, Tracking Strategies, and Dual-Task Performance

The effects of internal models and tracking strategies on workload were investigated in a dual-task, second-order tracking and auditory detection experiment. Internal models and tracking strategies were manipulated by providing subjects with augmenting cues. A control group was compared with two groups provided with different kinds of display augmentation, parabola or point cues, during single-task tracking training. The display augmentation had the effect of changing tracking strategy as subjects practiced on cued and noncued trials, and it had an effect on the internal models developed. Both point and parabola augmentation reduced workload when displayed on the cued trials. On the noncued trials, the parabola augmentation, training had the effect of reducing the workload, compared with the point augmentation, even if the parabola cues were not displayed. A control group that did not change strategy during training also had low workload requirements in the dual task. The results indicate that a consistent tracking strategy or the development of a visually based internal model is needed to lessen the workload.
Power and Network Integration: Structural and Algorithmic Analysis of Organizational Networks

This thesis constitutes the results of our research towards structural and algorithmic analysis of organizational networks. We study how interpersonal ties become crucial empowerment channels that shape organizational structure. We develop an organizational network model that is consistent with management studies; moreover, by incorporating both formal and informal ties into the model, we build a promising theory that is capable to explain several organizational phenomena including flattening, workplace homophily, and loss of control. Through rigorous analysis, we demonstrate that our theoretical framework can be used to reflect general properties of organizations. Understanding how different departments and employees of an organization interact with one another leads to comprehension of how well the organization operates. Studying an organizational structure often reveals critical positions that may require additional attention. It is the organizational structure from which one may extract hidden clues about concealed communication obstacles. In this thesis, we consider organizational structures from the network perspective. We see the following problems: (1) There is a lack of mathematical analysis on the dual-structure of formal and informal organizations. (2) Existing formal definitions of power only deal with networks whose edges have a single interpretation of social links, while not incorporating formal roles and levels. (3) Network evolution represents a substantial direction of the structural analysis of social networks but yet there is a lack of models suitable for joining two networks as an outcome of strategic calculations. The aim of this thesis, therefore, is to challenge the problems by developing a mathematical model that sits at the confluence of algorithmic and structural analyses. Our
Using a Blog to Facilitate Extensive Reading: An Exploratory Study

Research shows that extensive reading (ER) has many benefits for language acquisition. The challenge today is making ER appealing to the digital generation. For a possible solution, it is pertinent to look to the social media embraced by today’s youths. This study was conducted to explore the use of the blog as a space for sharing peer-selected reading material to enhance reading motivation among English Language learners. The research questions that guided this study are whether the blog is a viable tool to facilitate ER, and how students perceive the use of this Web 2.0 tool for ER. The sample comprised two groups of students in a private university in Malaysia: 12 undergraduate students in a remedial language class and 18 students enrolled in an English for Specific Purposes (ESP) course. A blog was set up for each group of participants to post reading materials of their choice for blog members to read over a period of 8 weeks. A questionnaire was administered at the end of the study together with focus group interviews. The qualitative approach enabled insights into process and attitudes. It was found that the students were positive about the use of the blog for reading beyond the classroom but required tangible rewards and complementary activities to reinforce their motivation to participate. Most significantly, the results of this study indicate that the blog is a viable tool for facilitating ER.
A Study on Student Behavioral Intentions to Use Tablet Personal Computer as Replacement of Textbook

Tablet personal computer (PC) can be use as teaching and learning tool. A tool that can improve study efficiency, yet not widely practice. This study aimed to investigate the factors and determinants of behavioral intentions to use tablet personal computer (PC) as replacement of textbook among university students. Theoretical foundation of this study based on Unified theory of acceptance and use of technology. A total of 240 respondents were collected using multistage sampling. Results of correlation analyses show that performance expectancy (r = 0.502, p < 0.01), effort expectancy (r = 0.431, p < 0.01), attitude of using technology (r = 0.571, p < 0.01), social influence (r = 0.501, p < 0.01), facilitating condition (r = 0.549, p < 0.01), self-efficacy (r = 0.556, p < 0.01) and anxiety (r = -0.132, p < 0.01) were significantly related to behavioral intention to use tablet personal computer as replacement for textbook. Results of multiple linear regressions showed that attitude of using technology, facilitating condition, performance expectancy, self-efficacy, and anxiety explained 53.6% variance of behavioral intention to use tablet PC as replacement of textbook (F = 40.512, p < 0.01). Implication and limitation of this study also discussed.
Single Carrier Modulation With Nonlinear Frequency Domain Equalization: An Idea Whose Time Has ComeVAgain In high-speed single-carrier digital communication systems, processing blocks of signals using Fast Fourier Transforms is an efficient way to equalize (compensate) for interference between trans

Inrecentyearssinglecarriermodulation(SCM)has again become an interesting and complementary alternative to multicarriermodulations suchas orthogonalfrequencydivision multiplexing (OFDM). This has been largely due to the use of nonlinear equalizer structures implemented in part in the frequency domain by means of fast Fourier transforms, bringing the complexity close to that of OFDM. Here a nonlinear equalizer is formed with a linear filter to remove part of intersymbol interference, followed by a canceler of remaining interference by using previous detected data. Moreover, the capacity of SCM is similar to that of OFDM in highly dispersive channels only if anonlinear equalizeris adoptedat the receiver. Indeed, the study of efficient nonlinear frequency domain equalization techniques has further pushed the adoption of SCM in various standards. This tutorial paper aims at providing an overview of nonlinear equalization methods as a key ingredient in receivers of SCM for wideband transmission. We review both hybrid (with filters implemented both in time and frequency domain) and all-frequency-domain iterative struc- tures. Application of nonlinear frequency domain equalizers to a multiple input multiple output scenario is also investigated, with a comparison of two architectures for interference reduction. We also present methods for channel estimation and alternatives for pilot insertion. The impact on SCM transmission of impairments such as phase noise, frequency offset and saturation due to high power amplifiers is also assessed. The comparison among the considered frequency domain equalization techniques is based both on complexity and performance, in terms of bit error rate or throughput.
A chip set for lossless image compression

The authors describe two chips which form the basis of a high-speed lossless image compression/decompression system. They present the transform and coding algorithms and the main architectural features of the chips and outline some performance specifications. Lossless compression can be achieved by a transformation process followed by entropy coding. The two application-specific integrated circuits (ASICs) perform S-transform image decomposition and the Lempel-Ziv (L-Z) type of entropy coding. The S-transform, besides decorrelating the image, provides a convenient method of hierarchical image decomposition. The data compressor/decompressor IC is a fast and efficient implementation of the L-Z algorithm. The chips can be used independently or together for image compression. >
Voicing diversity? Negotiating Italian identity through voice-over translation in BBC broadcasting

ABSTRACT This contribution focuses on voice-over translation as a form of intercultural communication. The pilot study discussed here aims to investigate the role of voice-over techniques such as revoicing, narration and simultaneous interpreting in negotiating Italian cultural identity in non-fiction BBC broadcasts. The study is divided into five parts. The theoretical perspectives underpinning the research, narrative theory, imagology and critical discourse analysis are introduced in the first sections. An overview of the literature on voice-over translation follows in section two, while sections three, four and five present the analyses of three mini case studies spanning three non-fiction genres. The contribution concludes with some tentative observations and directions for further research.
Getting them to Read Outside of Class: Let Moodle be the Enforcer!

Extensive Reading has long been considered to be an ideal way for students in a nonEnglish speaking milieu to gain extra practice with English. Through the reading of texts with controlled vocabulary and syntax, students can read volumes of material with relative ease while enjoying the material they read. As with any outside work, of course, comes the problem of holding them accountable for actually doing it. This article presents one method involving a module on Moodle, a freeware course management system, that is easy on the teachers and fun for the students.
Development of Web-Based Learning Application for Generation Z

This study aims to develop a web-based learning application as a form of learning revolution. The form of learning revolution includes the provision of unlimited teaching materials, real time class organization, and is not limited by time or place. The implementation of this application is in the form of hybrid learning by using Google Apps for Education (GAfE), called Brilian. Steps being taken in the study are: (1) requirements analysis, (2) interface design, (3) construction performance, and (4) testing and implementation. The subjects of this study were students of class 2014 and course lecturers for the student of class 2014. After the system testing that was conducted in the second semester of 2014, the collected data suggest that out of 1153 students who used this application, 79% of them were comfortable in using it. As for the lecturers, the data was obtained from 70 lecturers, 82% of them stated that this application helped their teaching process. From the evaluation results, it requires universities to further improve the network infrastructure, and applications must be developed to be more user friendly, including access to mobile learning.
Text Document Classification Based on Recurrent Neural Network Using Word2vec

자연어 처리 분야에서도 심층 신경망 기술이 주목되고 있으며, 최근에는 convolutional neural network (CNN)기반의 심층신경망 구조가 이미지 분류뿐만 아니라 자연어 처리의 문서 분류에서도 좋은 성능이 입증되었다. 하지만 convolutional neural network (CNN)을 이용한 문서 분류 연구에서는 문장의 평균 단어 수가 16개로 이루어진 짧은 문장에 한하여 적용되었으며, 구문 전체와 의미론적 관계가 복잡한 전체 문장을 다루기 어렵다는 단점을 가지고 있다. 본 논문은 기존 연구의 한계점을 극복하고 더 정확한 문서 분류 성능을 위하여 word2vec를 활용한 recurrent neural network (RNN)기반의 심층 신경망의 접근법을 새롭게 제안한다. 이를 위해 장기 의존성 문제를 해결한 long short-term memory (LSTM)을 사용하여 긴 시퀀스의 입력에서도 효과적인 문서 분류가 가능하도록 하였고, 제안 방식의 효율성을 검증하기 위해 영문 데이터 뿐 아니라 한국어 영화 리뷰 데이터에 대해서도 실험을 수행하였다. 그 결과 장문을 포함하고 있는 영문 신문 기사에서는 87%, 단문으로 구성된 영문 영화 리뷰 문서에서는 90%, 한국어 영화 리뷰에서는 88%의 문서 분류 정확도를 보였다.