Reviewerly/exHarmony huggingface dataset:
Double layer programming model to the scheduling of remote sensing data processing tasks

Remotely sensed data are widely used in disaster and environment monitoring. To complete the tasks associated with processing these data, it is a practical and pressing problem to match the resources for these data with data processing centers in real or near-real time and complete as many tasks on time as possible. However, scheduling remotely sensed data processing tasks has two phases, namely, task assignment and task scheduling. This paper presents a model using bilevel optimization, which considers task assignment and task scheduling as a single problem. Using this architecture, a mathematical model for both levels of the problem is presented. To solve the mathematical model, this paper presents a cooperative coevolution algorithm that combines the advantages of a very fast simulated annealing algorithm with a learnable ant colony optimization algorithm. Finally, the effectiveness and feasibility of the proposed approach compared with the conventional method is demonstrated through empirical results.
The Correlation between Perception of GIST Strategy and Students’ Writing Descriptive Text at Muhammadiyah Junior High School 1 Gresik

Writing can represent students‟ ability because it is covered some aspects. They are the usage of appropriate words, the usage of correct grammatical, and the usage of good marks. The problems which are faced by the students are they do not know what they are going to write and they can write but their writing is not in good organization although the teacher had explained about the generic structure of the text. Here, the researcher focuses on the GIST strategy which is used by teacher in teaching writing descriptive text. In this study, the researcher wants to know whether there is a correlation between perception of GIST strategy and students‟ writing descriptive text at Muhammadiyah Junior High School 1 Gresik. Besides, the researcher also want to know whether there is correlation between perception of GIST strategy and students‟ writing descriptive text according to the gender at Muhmmadiyah Junior High School 1 Gresik. This study uses correlation design. The researcher conducted this study in VIII A class of Muhammadiyah Junior High School 1 Gresik. There were 28 students which consist of 16 male students and 12 female students. The instruments of this study were questionnaire and students‟ writing test. Questionnaire were distributed to get perception of GIST strategy data and students‟ writing descriptive test was given to get students‟ writing skill data. The researcher analyzed the data by using Pearson Coefficient Correlation. Based on the results, it can be concluded that the students who have better perception of GIST strategy to be possible to have good writing descriptive text and the female students have better perception of GIST strategy than the male students. As the prove that female students have better writing in class descriptive text score than male students
The Effectiveness of Using Cooperative Script Method to Improve Students’ Reading Comprehension on Recount Text of 8thGrade Students of SMP N Kewapante, Maumere in Academic Year 2017/ 2018

This research is entitled “The Effectiveness of Using Cooperative Script Method to Improve Students’ Reading Comprehension on Recount Text of 8th Grade Students of SMP N Kewapante, Maumere in Academic Year 2017/ 2018”. The objective of this research is to investigate and to find out whether the use of cooperative script method effective to improve students’ reading comprehension on recount text. The method of this research is experimental research especially quasi experimental research. In analyzing the data, the researcher combined both quantitative and qualitative data analysis. In qualitative data analysis, the researcher used interview technique in order to get information about students’ perceptions in reading, while in quantitative data analysis, the researcher used SPSS version 16. The result of the research showed that the implementation of Cooperative Script Method in experimental class was more effective to help the students in reading comprehension on recount text compared to the use of the conventional method in control class of the eighth grade students of SMP N Kewapante, Maumere. It is also found that cooperative script method positively contributed to improve students’ reading comprehension. Therefore ,the researcher suggests the teachers to use cooperative script method in order to improve students reading comprehension Additionally, cooperative script method can also motivate students to be more active, relax and enthusiastic to comprehend reading texts.
Pembentukan Kalimat Pasif Bahasa Jepang: Studi Kasus Pembelajaran Kalimat Pasif Bahasa Jepang Pada Pembelajar Indonesia

This study aims to analyze the errors in the construction of Japanese passive sentence. This research involves Indonesian Japanese language students of semester IV. The sample of this research is Indonesian essay in 200 words. Quantitative and qualitative methods are used based on the error establishment definition of Japanese passive sentence Ichikawa (2005). The research result shows that the students make mistake in changing the Japanese passive verb form by 53%, the error in particle selection as much as 24%, the error in the subject structuring and object complement 18% and error in sentence formation of Yari-morai (giving-taking) as much as 5%.The error in changing the Japanese passive verb form is caused by a lack of practice and understanding of Japanese passive forms. Error in particle selection is caused by negative transfer factor. The lack of students 'understanding of the formation of Japanese passive sentences causes learners to tend to arrange subjects and principals' objects in Japanese passive sentences following the Indonesian passive sentence arrangement rules. The results of this study can provide an overview for Japanese language teachers, especially about the acquisition of learning passive Japanese sentence language among Indonesian students to be able to make a variety of a more creative teaching.
THE EFFECT OF USING WHATSAPP MESSENGER ON STUDENTS’ SPEAKING ACHIEVEMENT AT THE SECOND GRADE STUDENTS OF MADRASAH ALIYAH NEGERI (MAN) 1 KENDARI

The use of technology in teaching and learning is an important aspect which has received considerable attention in recent years. In a similar sense, the use of mobile phone application especially WhatsApp messenger to increase effectiveness of instruction has been acknowledged through a number of studies carried out so far. This study was conducted to find the effect of using WhatsApp Messenger on students’ speaking achievement at the second grade students of Madrasah Aliyah Negeri (MAN) 1 Kendari. The research question is that “Is there any significant effect of using WhatsApp messenger on students’ speaking achievement at the second grade students of Madrasah Aliyah Negeri (MAN) 1 Kendari?” This study used a quantitative approach by applying a comparative study. The participants of the study consisted of 60 students who were in two different classes: class XI IPA 2 as the experimental class and class XI IPA 4 as the control class. The experimental class consisted of 30 students taught in a combination method (WhatsApp Messenger and discussion method) while the control class consisted of 30 students taught through using a conventional method. The results of this study showed that there were differences in the speaking achievement of the students in the experimental class and the control class. This difference was in favor of the experimental class. The value of Chi-Square count is 28.486 and the Chi-Square Table is 19.675. So the H1 accepted and H0 is rejected . The differences between the two classes indicated that integrating the WhatsApp application in teaching English language improved speaking achievement of the students of the experimental class. Keywords: WhatsApp Messenger, Discussion, Speaking achievement.
Uyghur morphological analysis using joint conditional random fields: Based on small scaled corpus

As a fundamental research in the field of natural language processing, the Uyghur morphological analysis is used mainly to determine the part of speech (POS) and segmental morphemes (stem and affix) of a word in a given sentence, as well as to automatically annotate the grammatical function of the morphemes based on the context. It is necessary to provide various information for other tasks of natural language processing including syntactic analysis, machine translation, automatic summarization, and semantic analysis, etc. In order to increase the morphological analysis efficiency, this paper puts forward a hybrid approach to create a statistical model for Uyghur morphological tagging through a small-scale corpus. Experimental results show that this plan can obtain an overall accuracy of 92.58 % with a limited training corpus.
THE EVALUATION OF NATIONAL EXAMINATION OF ENGLISH SUBJECT AT SECONDARY SCHOOL

The implementation of National Examination in Indonesia always becomes an interesting discussion both in education field and social life. One of the debates in the implementation of National Examination is about the fairness, many experts stated that the implementation of National Examination is unfair because the threeday exam is used to determine the success or failure of a student’s three years of high school. The second issue is about the quality of education in Indonesia’s school is gravely uneven. Some schools have luxury facilities and infrastructure, while others barely have a school building. So, to apply and expect the same standard from all of them is harsh and unrealistic. This study would like to analyze the questions in National Examination. The writer takes English test for science students as the primary data to answer the questions. The writer focuses on the principle of language assessment implemented in construction of English test in National Examination and the appropriateness of English test questions in National Examination based on the standardize of language assessment. The result shows that National examination in this case English test has been designed accordance to the principle of assessment. For standardized test of national examination, there are some types of test items are hardly to be found in the test. In terms of reading test items, multiple choices which are indicating to find reference words, phrase or sentence are not given in English test. It is dominated by finding out the detail or specific information about the text, implicit and general description about the text. Overall the English test in national examination has been design according to the standardized test. Only for several things need to be improved in term of test items variety in reading skill.
SPEECH ACTS IN BARACK OBAMA SPEECH’S IN ANNOUNCING THE DEATH OF OSAMA BIN LADEN

This study aims to observe and describe the use of speech acts by Barack Obama when he announced the death of Osama bin Laden. The writer focuses on illocutionary acts used by Barack Obama. The primary data source is the transcript of Barack Obama’s speech at White House on May 1st, 2011 after the death of Osama bin Laden. The types of illocutionary acts are observed by the writer according to Searle’s Taxonomy of Illocutionary Act. They are representatives, directives, commissives, expressives, and declarations. The result of the study shows that representatives are frequetnly used by Obama in his speech. Representatives are used in 54 utterances (74%); Commissives are used in 11 utterances (15%); Expressives are used in 7 utterances (11%). Barack Obama used none both directive speech acts and declaration speech acts. Representatives are frequently used in Barack Obama speech because the purpose of the speech is to announce the death of Osama bin Laden in Pakistan. The evidence is that most utterances in the transcipt use statements, descriptions, and reports.
Optimal quantum subtracting machine

The impossibility of undoing a mixing process is analyzed in the context of quantum information theory. The optimal machine to undo the mixing process is studied in the case of pure states, focusing on qubit systems. Exploiting the symmetry of the problem, we parametrize the optimal machine in such a way that the number of parameters grows polynomially in the size of the problem. This simplification makes the numerical methods feasible. For simple but nontrivial cases, we computed the analytical solution, comparing the performance of the optimal machine with other protocols.
Personality as Extralinguistic Factor that Influences Second Language Learning among Foreign Students

The researchers conducted this study to determine the relationship between second language extralinguistic factors with Malay achievement among foreign students at five universities in Malaysia. The researchers were interested to address colour personality as extralinguistic factor that influences second language learning among foreign students at universities in Malaysia. The findings showed that foreign students’ personality was influenced by green, red and yellow which indicated that they are willing to do anything to succeed and acquire the second language. The sample of this study comprises 150 students from 27 countries. They took Malay as a foreign language at Putra University of Malaysia (UPM), National University of Malaysia (UKM), University of Malaya (UM), University of Technology Malaysia (UTM) and University of Science Malaysia (USM).
IS IT CYBERFRAUD OR GOOD OL’ OFFLINE FRAUD? A LOOK AT SECTION 8 OF THE SOUTH AFRICAN CYBERCRIMES BILL

This paper discusses section 8 of the South African Cybercrimes and Cybersecurity Bill, a section which deals with the crime of cyberfraud. It argues that there are certain fraudulent acts which have been presented incorrectly as examples of cyberfraud when they are classified better as ordinary offline fraud. The mere presence of an internet element in the commission of a fraud crime is not enough to elevate the crime to cyberfraud status. Therefore, for an act to be called a cyberfraud crime, it must meet the minimum requirement of being a computer-dependent crime rather than being merely a computer-enabled crime.
Detecting near-duplicate images using segmented minhash algorithm

The search of images using search engines in web results to a number of duplicate and near duplicate images with varying size and resolution. Near-duplicate (ND) image detection appears to be a significant issue in various applications such as copyright enforcement, news topic tracking, image and video search. This paper presents a method involving segmented minhash algorithm for indexing near-duplicate images. The method initially enhances the quality of query and web images and extracts the local invariant features by speeded up robust features (SURF). The segmented mishash algorithm then evaluates the similarity of the feature extracted images and locality sensitive hashing (LSH) performs indexing of near duplicate images in the web collections in respect of the query image. This paper also presents the results of a few sample images with a view of exhibiting the superiority of the proposed approach.
Reply to Van Es et al. Digital pathology: A constant evolution

Letter to the Editor. Response to van Es.
Head movement assessment of cerebral palsy users with severe motor disorders when they control a computer thought eye movements

Eye tracking is currently a promising technology to access computers for people who suffer severe motor disorders, like cerebral palsy.However, there is a lack of usability assessment procedures and concrete value to describe the user's motor capabilities in this specific scenario of computer control.This paper presents a methodology, based on two head movement assessment metrics and the ISO-9241, for the quantitative motor description of users with severe motor disorders, when they control the computer thought their eyes.Seven participants with CP and three people without motor disabilities were recruited for the evaluation of the proposed procedure.Results evidence for the first time how users with CP control their head while they access a computer with their eyes.
Rethinking Phonotactic Complexity

In this work, we propose the use of phone-level language models to estimate phonotactic complexity—measured in bits per phoneme—which makes cross-linguistic comparison straightforward. We compare the entropy across languages using this simple measure, gaining insight on how complex different language’s phonotactics are. Finally, we show a very strong negative correlation between phonotactic complexity and the average length of words—Spearman rho=-0.744—when analysing a collection of 106 languages with 1016 basic concepts each.
Chinese entity attributes extraction based on bidirectional LSTM networks

For the low performance of slot filling method applied in Chinese entity - attribute extraction at present, this paper presents a distant supervision relation extraction method based on bidirectional long short-term memory neural network. First we get the Infobox of Baidu baike, using relation triples of Infobox to get the training corpus from the internet and then we train the classifier based on bidirectional LSTM Networks. Compared with classical methods, the method of this paper is fully automatic in the aspect of data annotation and feature extraction. Experiment results show that the proposed method is effective and it is suitable for information extraction in high dimensional space. Compared with the SVM algorithm, the accuracy rate is significantly improved.
OPTIMALISASI PEMANFAATAN AKSES DIGITAL REPOSITORY DALAM MENUNJANG TRI DHARMA PERGURUAN TINGGI (STUDI KASUS DI PERPUSTAKAAN UNIVERSITAS MUHAMMADIYAH YOGYAKARTA)

The progress of the digital era has made society, especially students, rely on searching for sources of references via the internet that are considered practical and efficient.The high level of student mobility makes it easy for them to search for information using the internet.The library must keep up with the times, so the UMY Library is present to provide digital repository facilities that can be accessed easily, precisely and efficiently.The purpose of this study was to determine the optimization of the use of digital repository access to support the Tri Dharma Perguruan Tinggi at Universitas Muhammadiyah Yogyakarta Library.The results of this study indicate that there are several ways to optimizing the use of digital repository access in supporting the Tri Dharma Perguruan Tinggi at Universitas Muhammadiyah Yogyakarta Library, among others: 1) Leaflets and X-Banners, 2) Socialization, 3) Social Media, and 4) Information Literacy.Efforts to optimize digital repository are very helpful for the achievement of the Tri Dharma Perguruan Tinggi at Universitas Muhammadiyah Yogyakarta.
Bitcoin's start of the fresh week

New day, new week and a new start for the cryptocurrency market. Bitcoin has opened with a gap as the price surged from from the previous close at $8187.80 to $8524.20. Level to watch on the breakout is $8241.43 as it will probably be tested from the pri
A Implementation and Application of qualifying New Teacher Qualified With Rule Based Classification Method Master Information Engineering of West Sumatra

Teachers are professional educators with the primary task of educating, teaching, guiding, directing, train, assess and evaluate students on early childhood education, formal education, primary education and secondary education. New teacher Qualified is the New Teacher Qualified and professional educators who will spearhead the national education in achieving national educational goals intact. Teacher of Informatics has three different concentrations namely Multimedia, Software Engineering and Computer Network. To determine the concentration of Teachers of Informatics, do classification using qualifying applications built using the criteria of Rule Based Classification Rule established and proven valid, practical and effective.
Radial basis function network for fast bilateral filtering

The bilateral filter perhaps is the most fundamental smoothing tool in image processing. However, low-computational efficiency limits its applications. To the best of authors' knowledge, all existing fast bilateral filtering algorithms are handcrafted by talented authors. However, it is a painstaking and effortless work to design an acceleration algorithm. In this Letter, the authors propose a radial basis function network to automatically produce the fast bilateral filtering algorithm. This is done by establishing the one–one connection between the radial basis function network and the fast bilateral filtering algorithm. Experiments demonstrate that their method is able to produce state-of-the-art results.
Analysis of brainstem in Alzheimer MR images using Lattice Boltzmann level set

Alzheimer's Disease (AD) is a progressive neurological disorder resulting in the cognitive impairment of elderly people. The brainstem is considered as a significant pathological core for the study of psychological and behavioural symptoms occurring before cognitive impairment. In this work, the brainstem is extracted from T1 weighted brain MR images using Lattice Boltzmann (LB) criterion based regional level set method. The segmentation results are validated using regional statistic and overlap measures. The results show that the region-based segmentation is capable of extracting the brainstem more accurately by preserving the weak and blurred edges of the brainstem. The extracted geometric and textural features are able to show a significant difference in the normal and AD brainstem images. The feature values obtained from AD images are found to be less compared to the normal images. This might be due to the neuronal loss in the brainstem describing the atrophy. Hence, this analysis proved to be clinically significant.
The 2018 Visualization Technical Achievement Award

The 2018 Visualization Technical Achievement Award goes to Anders Ynnerman for his contributions to medical visualization resulting in the development of virtual autopsies, which have had extraordinary impact in both in medicine and in communication of science to the public. The IEEE Visualization & Graphics Technical Committee (VGTC) is pleased to award Anders Ynnerman the 2018 Visualization Technical Achievement Award.