Reviewerly/exHarmony huggingface dataset:
Cognitive Driven Multilayer Self-Paced Learning with Misclassified Samples

In recent years, self-paced learning (SPL) has attracted much attention due to its improvement to nonconvex optimization based machine learning algorithms. As a methodology introduced from human learning, SPL dynamically evaluates the learning difficulty of each sample and provides the weighted learning model against the negative effects from hard-learning samples. In this study, we proposed a cognitive driven SPL method, i.e., retrospective robust self-paced learning (R2SPL), which is inspired by the following two issues in human learning process: the misclassified samples are more impressive in upcoming learning, and the model of the follow-up learning process based on large number of samples can be used to reduce the risk of poor generalization in initial learning phase. We simultaneously estimated the degrees of learning-difficulty and misclassified in each step of SPL and proposed a framework to construct multilevel SPL for improving the robustness of the initial learning phase of SPL. The proposed method can be viewed as a multilayer model and the output of the previous layer can guide constructing robust initialization model of the next layer. The experimental results show that the R2SPL outperforms the conventional self-paced learning models in classification task.
TESTING OF TECHNOLOGY ACCEPTANCE MODEL ON E-LEARNING BASED EDMODO FRAMEWORK: A PERSPECTIVE OF STUDENTS PERCEPTION

E-learning is the application of Information and Multimedia Technology in the field of Education which is currently the main trend in the learning process in the classroom. E-learning is currently designed by integrating the learning process using features in social media so as to facilitate the interaction of teachers and students that are expected to improve the efficiency and effectiveness of classroom learning. However, in practice there are still few teachers, educators and students who can apply e-learning well, because they think that the application of e-learning is difficult to implement in classroom learning. Edmodo is one of the most used e-learning framework because of its ease in its application. This study aims to measure the level of student acceptance of the application of edmodo-based e-learning by using the Technology Acceptance Model (TAM). The method used uses the survey method for 160 upper secondary students. Data analysis was performed using Structural Equation Modeling (SEM) with the help of AMOS 24 software. The results showed that the application of Edmodo-based e-learning had a positive and significant effect on students' motivation and learning outcomes in the classroom.
Improving Students’ Speaking Skill Through Predicting With Storytelling at Grade XI/Social Science SMAN 10 Bukit Barisan Pekanbaru

Speaking skill is one of the important skill in learning English. However, the students speaking skill of grade XI/ Social Science SMAN 10 Bukit Barisan Pekanbaru don’t achieve the students’ speaking minimum standard score as required by curriculum. This problem might be caused by the teacher techniques in teaching. This research is aimed at determining the effectiveness of predicting with storytelling in improving the students’ speaking skills. Besides this research is also to identify the factors which influence the improvements of the students speaking skill through predicting with storytelling. This research was a Classroom Action Research which consited of three cycles. Each cycle involved planning, action, observation and reflection. The instrument used in this research were observation and speaking test. Observation was aimed to know both students and the teacher activities during the process of teaching and learning. Meanwhile speaking test means to evaluate the students speaking skill at the end of each cycle. At the first cycle, it was found that the average score of the students’ speaking test is 59. Because of this research is not satisfied yet, so the research was continued the second cycle. Then, in cycle two it was found that the average score of the students speaking test is 66. Some factors that might be caused the improvement of the students speaking skill are materials, media, activities, classroom management, and teacher’s approach. To get better result and to make the students more familiar with predicting storytelling so the third cycle was done. Finally, it was found that the average score of students’ speaking test is 75. Based on the finding above, it is concluded that predicting with storytelling is an effective way in improving the students’ speaking skill.
How to Make an Impression of Classical Music on Students

In this article, the author introduces one interesting method to attract the attention of students considerably to classical music. That is a method to introduce quotation of music. Quotation of music means to quote a work by incorporating some of past composer's melodies or melodies of others to one's composing music. In some cases, it is done intentionally. Quotation is a kind of symbiosis of past composers and recent composers, and we can understand the intension of composers clearly by finding these quotations in the music.
Polyp classification by Weber’s Law as texture descriptor for clinical colonoscopy

Weber’s law for image feature descriptor (WLD) is based on the theory that the ratio of the increment threshold to the background intensity is a constant. It has been used in facial recognition, structure detection, and tissue classification in X-ray images. In this paper, WLD is explored in the polyp classification in color colonoscopy images for the first time. An open, on-line colonoscopy image database is used to evaluate the new descriptor. The database contains 74 polyps, including 19 benign polyps and 55 malignant ones. Each polyp has a white light image (WLI) and a narrow band image (NBI), both were obtained by the same fibro-colonoscopy from the same patient. WLD image texture features are extracted from three color channels of (1) color WLI, (2) color NBI and (3) WLI+NBI. The extracted features are analyzed, ranked and classified using a Random Forest package based on the merit of the area under the curve (AUC) of the Receiver Operating Characteristics (ROC). The performance of WLD is quantitatively documented by the AUC, the ROC curve, the P-R (precision-recall) plot and the accuracy measure with comparison to commonly used features, such as Haralick and local binary pattern feature descriptors. The results demonstrate the advantage of WLD in the polyp classification in terms of the quantitative measures.
Recommendation with quantitative implication rules

Association rules based recommendation is one of approaches to develop recommendation systems.However, such systems just focus on binary dataset, whereas many datasets are in the quantitative form.There are many solutions proposed for this problem such as combining the association rules mining with fuzzy logic, binarizing quantitative data, etc.These proposals have contributed to improving the performance of traditional association rules mining, however, they have to deal with the trade-off between the processing performance and the loss of information.In this paper, we propose a new approach to make recommendations based on implication rules.The experimental results show that our proposed solution can be implemented on quantitative dataset well as well as improve the accuracy and performance of the recommendation systems.
Stochastic Phase Estimation and Unwrapping

Phase-shift is one of the most effective techniques in 3D structured-light scanning for its accuracy and noise resilience.However, the periodic nature of the signal causes a spatial ambiguity when the fringe periods are shorter than the projector resolution.To solve this, many techniques exploit multiple combined signals to unwrap the phases and thus recovering a unique consistent code.In this paper, we study the phase estimation and unwrapping problem in a stochastic context.Assuming the acquired fringe signal to be affected by additive white Gaussian noise, we start by modelling each estimated phase as a zero-mean Wrapped Normal distribution with variance σ2 .Then, our contributions are twofolds.First, we show how to recover the best projector code given multiple phase observations by means of a ML estimation over the combined fringe distributions.Second, we exploit the Cramér-Rao bounds to relate the phase variance σ2 to the variance of the observed signal, that can be easily estimated online during the fringe acquisition.An extensive set of experiments demonstrate that our approach outperforms other methods in terms of code recovery accuracy and ratio of faulty unwrappings.
Natural Stereo Camera Array using Waterdrops for Single Shot 3D Reconstruction

In this paper, we propose a stereo 3D reconstruction from a single image including multiple water drops. Water drops on a surface, e.g. camera lens, refract light rays and the refracted rays are roughly converged to a point. This indicates that water drops can be regarded as approximately small lens. Therefore, sub-images refracted by water drops can be regarded as images taken from different viewpoints. That is, virtual stereo camera systems can be constructed from a single image by using these raindrop characteristics. In this paper, we propose an efficient description of this virtual stereo camera system using water drops. Furthermore, we propose methods for the estimation of the camera parameters and for the reconstruction of the scene. We finally display several experimental results and discuss the validation of our proposed camera model from the results.
BUILDING EFL STUDENTS’ SELF-CONFIDENCE, MOTIVATION, AND ABILITY IN LISTENING ENGLISH 2.0

The study investigates the relationship among self-confidence, motivation, and the ability of listening skill by using using 2.0. It occured when some students getting difficulty to respond listening record, they did not get any motivation while listening section is was tested to them, and practically they got less confidence to share their answer. I used mobile phone as a tool to transfer listening material, process to maintain listening class more attractive to the students. It could build up students’ self confidence, motivation, and ability in listening class. Based on the implementation of listening English 2.0, the major findings were; the students felt motivated, confidence, and built up their ability where they are correlated. They feel confidence to answer questions regarding to listening material. The students felt self confidence. These findings provide a valuable framework for lecturer/instructor in English as a Foreign Language to build up those aspects by using technology 2.0.
The Correlation toward Students’ Vocabulary Mastery between Using Jig Saw and TGT Technique

The purpose of this study was to find out whether, using Jigsaw and TGT techniques effectively to improve student mastery of vocabulary, there were several different effects between using Jigsaw and TGT techniques on mastery of students' vocabulary. This study uses comprehensive studies using trials, initial tests, treatments, and final tests. For the first treatment, the highest score was 60 and the lowest score was 40. For the second treatment, the highest score was 70 and the lowest score was 45. In the third treatment, the highest score was 80 and the lowest score was 50 The posttest results showed that in the experimental class the score the highest from the first treatment to the third treatment was 100 and the lowest score was 65 with an average of 78. On the other hand, in the control class the highest score from the first treatment to the third treatment was 90 and the lowest score was 55 with an average of 70.44. Based on the results of the research to be considered to help students master English more easily, pleasant and without pressure. This method is intended to increase student vocabulary, if this method applies in class or outside the class. Students can feel enjoyed and interested in the material. Finally, English material will be easier, more fun and without pressure to be understood and mastered by students. So, if possible, it would be better to add time for English lessons
A Sociolinguistic Analysis of Gender Differences in (Snow in summer) story by Jane Yolen

This study attempts to highlight the impact of children’s literature, as a socializing discourse, in constructing gender ideologies by using a critical discourse analysis approach to analyze a Snow in summer) story Jane Yolen’s stories. The study has a number of objectives: To increase consciousness of the significance of language in the production, maintenance, and change of gender ideology and power relations; To raise an awareness of the workings of gender ideology in children’s literature; To examine ways in which children’s writers use language to inculcate a particular world view in the minds of their readers.  This study concluded that, Socialization is an important process of social conformity to integrate young members of a society into society itself. This is achieved by means of enforcing the norms and values legitimized by the sociopolitical system. Childhood is a crucial determining period in the life of a human being. It is not merely the time for basic education. Rather, it is, for and foremost, the time of learning about the nature of the world, how to live in it, how to relate to others, and how to think. Children’s literature belongs, among a vast media, to the domain of cultural practices and ideologies with aim at socializing its readers. Hence, children’s literature is regarded as a social discursive practice.  Key words:  A Sociolinguistic - Gender Differences - Snow in summer - Jane Yolen
Effective estimation of background light in underwater image dehazing

Background estimation is a crucial step in underwater image dehazing. Most of the current estimation methods assume a uniform background light in the underwater environment and select the brightest pixel in the dark channel as the candidate, which fails to explain the real interactions of light rays and particles in the water medium and causes over-saturation in dehazed images. In this paper, the relationship between the maxima of dark channel and the background light in offshore underwater images is initially illustrated, and a contradiction of the assumption related to the dark channel prior used in underwater image restoration is addressed. To the best of our knowledge, this is the first work studying the statistical facts of underwater background light. Furthermore, a machine learning based background light estimation and reconstruction method is proposed based on the learning of the maximum areas of a dark channel. The subjective and objective restoration results of the state-of-the-art algorithms with and without applying the proposed background light estimation method to the offshore images are compared. The results show that the proposed method better simulated the directional distribution of the background light in a turbid water environment, and the foggy ambiguity caused by the backscattering was removed more efficiently in comparison with existing methods.
EKSISTENSI PRODI AGAMA LANGKA PEMINAT UIN AR RANIRY BANDA ACEH

After the transition of IAIN status to UIN, the interest of the community to enter UIN is higher in general study programs such as IT, medicine, economics, and law.While for religious study programs that are related to the world of work (multidisciplinary Islamic study program) are also still relatively high, but for religious study programs with pure knowledge is very less interested.This study uses qualitative methods, through documentation study techniques by collecting and analyzing official documents, documents whose validity relates to rare study programs and in-depthinter view techniques.This study resulted in: 1) rare religious study programs interested in UIN Ar Raniry are Study Programs of Religion of Sharia Faculty and Law, Islamic Community Development Study Program of Da'wah and Communication Faculty, Aqidah Study Program and Islamic Philosophy Faculty of Ushuludin and Philosophy, Comparative Study Program of Sharia Faculty and Law and Diploma III Science Library of Humanities Faculty of Humanities.2) rare study program alumni interested in working as employees in the Ministry of Religion, Religion Extension, Board Members, Regional Governments, TNI and Polri, Interpreneurship, Journalists, Writers and Ustadz.Among them there are those who are community leaders, figures and bureaucrats.3) The large number of rare students interested is not important
CHALLENGES POSED BY THE NEW PROFESSIONAL WORLD TO MODERN EDUCATION

This article concerns the need to orient modern education towards the vocational training of higher education graduates which would be relevant to the demands and conditions of that particular stage of social development which is commonly referred to today as 'the knowledge society' (or 'the cognitive society').The basis of studying this issue is the recognition that recognizing that major changes have taken place in the professional world as a whole, and, inter alia, in various professions.The modern professional world uses new terminology intended to define emerging new professions.This world has lost its former robustness and is now extremely fluid with the emergence of new professions and the disappearance of old ones.What should be the educational strategy to keep up with this dynamic?How and what can a student be taught if the sum of knowledge acquired over 5-6 years of study threatens on graduation to become something different and a burden in the new professional realities that have taken shape?To leave education in such a stable condition, not to change its content and dismiss any consideration of the issues raised, would mean preserving a system whereby graduates are taught but not prepared for the new professional world outside the institution.Consequently, a relevant methodological platform for modern education can only be that which aligns itself with proceduralitythat is, the progression and development of knowledge.
Research on highly non‐linear plateaued functions

Here, the authors correct the proof in the reference when explaining that the produced plateaued functions have no non-zero linear structures. Moreover, a new class of plateaued functions with the best algebraic degree is given.
Twenty Challenging Minutes to Take the Right Decision

Background: The diagnostic accuracy of frozen section is an important source of information and a high risk procedure in surgical pathology. This is an important tool, not only in the management of surgical patients but also has a pivotal role in institution’s quality assurance in histopathology. Aims and objectives: To analyze indications, efficacy, accuracy, limitations, deferrals and turnaround time for all frozen sections in correlation with histopathology. Materials and methods: A retrospective analysis of all the frozen samples was done in correlation with permanent sections from June 2016 till July 2017. The diagnostic accuracy, sensitivity, specificity, turnaround time, deferrals and limitations were analysed. Results: A total of 45 specimens for frozen sections were sent to the department of Pathology during the time period. Out of these, 97.8% (n=44) were accepted and 2.2% (n=1) were deferred. Of the remaining 44 specimens, 1 (2.3%) was discordant and 43 (97.7%) were concordant to permanent diagnoses. Specimens were primarily from the ovary, breast and lymph nodes. The overall sensitivity, specificity, positive predictive value and negative predictive value of the frozen section compared to formalin fixed paraffin embedded sections (as gold standard) were 97.7%, 100%, 100% and 100% respectively. The average turn-around time for frozen section diagnosis was 23 minutes. Conclusion: Frozen section diagnosis is an efficient, rapid, reliable and highly accurate tool in surgical diagnosis and management. The multidisciplinary approach helped avoiding limitations ensuring optimal patient care.
An Advanced Method of Acquiring Distorted Images Information with Height Compensation

The innovation work is to acquire distorted images information with height compensation. Computer vision allows observation of the surroundings. Generally, images collected from cameras in automated production lines are front views. But there is a certain angel between the camera and the working platform in limited space which will result in perspective distortion and make following works such as feature extraction and object recognition much more difficulty. Even more, it will reduce precision for grasping objects and production efficiency. For efficient considerations, correction of the distorted image has potential economic and social needs. Thus, we propose the combined method of Hough transformation and perspective transformation, which can convert the distorted image into a front view. In addition, we remove the effect of objectsâ€™ height to improve positioning accuracy. Then we apply it to the Delta robot to correct the distorted image and recognize objects. It is important to note that the camera can be mounted in any position. Verification of the effectiveness of method is required for a final practical test of the experiment. The experimental results have proved the accuracy of this method well. Moreover, positioning accuracy can be easily improved by an average of more than 10 percent with the method of height compensation. Introduction
Constructing a 3D Fractal Model with Two Typical Space Filling Curves

We have devised and implemented a tessellation algorithm with two typical space filling curves, Hilbert curve and Sierpinski curve, and applied the tessellation algorithm into the construction of 3D fractal models.In this paper we shall describe our tessellation algorithm with Hilbert curve and Sierpinski curve, and provide the method how to map the two tiled planes on the surface of models.Some result of verification experiments will be provided also.
PERSONAL IDENTITY IN SPACE PERSONALIZATION OF THE APARTMENT RECEPTION AREA, INENVIRONMENTAL BEHAVIOR CONTEXT.

Introduction:
Analisis Sentimen Calon Gubernur Jawa Timur 2018 di Twitter

The East Java Governor Election 2018 is also felt in the virtual world especially Twitter. All people freely argue about their respective governor candidates, memorandum raises many opinions, not only positive or neutral also negative opinions. Media growth is so rapid, revealing a lot of online media from the news media to social media. Today's social media is not only used of friendship, but also for other activities. Promos of trading or buying and selling, until political party promos or campaigns of candidates for regents, governors, legislative candidates until presidential candidates. The research objective is to conduct a method of Sentiments Analysis for Governor candidates East Java 2018 in twitter with optimal and maximum optimization. While the benefits are to help the community conduct research on opinions on twitter which contains positive, neutral or negative sentiments. Sentiments Analysis for Governor candidates East Java 2018 in twitter using non-conventional processes that save costs, time and effort. The results of Khofifah's dataset are 77% accuracy, 79.2% precision, 77% recall, 98.6% TP rate and 22.2% TN rate. For the results of GusIpul dataset, accuracy is 76%, precision 74.4%, recall 76%, the TP rate is 93.8% and the TN rate is 52.9%.
Multiplicative functional on elementary fuzzy matrices

In this paper some new elementary fuzzy matrices are defined, some of its properties using multiplicative functional are studied.