Reviewerly/exHarmony huggingface dataset:
Penerapan COBIT-5 Domain DSS01 dan DSS05 Untuk Mengukur Kualitas Tata Kelola Sistem di KSPPS BMT Unit 068-Sampit

Baitul Maal wa Tamwil (BMT) is an institution that supports the economic activities of low-income communities based on the Islamic sharia economic system. KSPPS BMT KUBE SEJAHTERA 068 Sampit was formed on January 12, 2006 with the legal entity Cooperative No. 07/Kep-BH/DK.PM/VIII/2006, and is a Sharia Savings and Loans Cooperative (KSPPS) which has approximately ten years of experience serving and partnering with the community. At KSPPS BMT-Sampit there is still no auditing system to monitor whether the existing technology is running well and efficiently, as well as to provide an assessment of the maturity level of information system technology, therefore the author uses the Cobit 5 framework for the audit system by focusing on 2 domains that the choices are DSS01 (manage operation) and DSS05 (manage security service) based on the results of calculations that have been done, the maturity level of information technology in KSPPS BMT-Sampit is at level 4 (Predictable processes) for DSS01, and based on level 4 (Predictable Processes) for DSS05
Investigation and Analysis on the Information Technology Application Ability of Primary and Secondary School Teachers in Rural Areas of Xianyang City

With the development of the new curriculum reform, information technology has gradually penetrated into all levels of school education and teaching activities, and education administrative departments have invested a lot of money to build a perfect information technology environment for the development of information teaching.However, the application of information teaching has not achieved the desired results, especially in the vast rural areas.In order to understand the problems that restrict the improvement of teachers' information technology application ability in rural areas, this paper conducts a research through field visits and questionnaires.It is found that the main reasons that restrict the development of rural teachers' information teaching are that teachers' willingness to self-improvement is not strong, initiative and enthusiasm are not high, and long-term systematic training and follow-up guidance are not followed up, On the basis of investigation, the countermeasures are put forward.
Should We Use It in Our Classrooms: An Analysis of Data-Driven Learning Research

Corpus linguistics has become increasingly important to both language researchers and teachers over the past three decades. As a popular practice of corpus linguistics, Data-Driven Learning (DDL) sees a rapidly growing body of research as well as instruction in the field. There is, however, a lack of comprehensive literature reviews that summarize the effectiveness, learners’ perception, as well as factors affecting the success of DDL to guide its practices. In response, this study analyzes previous DDL research to show the feasibility of the activities in EFL classrooms. For the purpose, we collected and analyzed relevant research articles from 19 journals in the discipline of applied linguistics. Our analysis revealed that while DDL has been proved generally effective in improving learners’ target language proficiency with respect to a variety of linguistic aspects, a set of its drawbacks have been elicited from the learners. The results indicate the instructors’ need to take into account the learner as well as technique background before the introduction of DDL into their classrooms.
Attack Transferability Against Information-Theoretic Feature Selection

Machine learning (ML) is vital to many application-driven fields, such as image and signal classification, cyber-security, and health sciences. Unfortunately, many of these fields can easily have their training data tampered with by an adversary to thwart an ML algorithm’s objective. Further, the adversary can impact any stage in an ML pipeline (e.g., preprocessing, learning, and classification). Recent work has shown that many models can be attacked by poisoning the training data, and the impact of the poisoned data can be quite significant. Prior works on adversarial feature selection have shown that the attacks can damage feature selection (FS). Filter FS algorithms, a type of FS, are widely used for their ability to model nonlinear relationships, classifier independence and lower computational requirements. One important question from the security perspective of these widely used approaches is, whether filter FS algorithms are robust against other FS attacks. In this work, we focus on the task of information-theoretic filter FS such MIM, MIFS, and mRMR, and the impact that gradient-based attack can have on these selections. The experiments on five benchmark datasets demonstrate that the stability of different information-theoretic algorithms can be significantly degraded by injecting poisonous data into the training dataset.
Research on the ensemble feature selection algorithm based on multimodal optimisation techniques

Feature selection is essentially a high-dimensional combinatorial optimisation problem. To find representative feature subsets, the selection method needs powerful exploration ability. In addition, if alternative feature subsets could be provided, the final prediction accuracy can be improved by ensembling these subsets. Multimodal optimisation (MO) methods with high exploration power can find multiple suitable solutions in one single run. Therefore, this paper presents an ensemble feature selection algorithm based on multimodal optimisation techniques. Differential evolution based on fitness Euclidean-distance ratio (FERDE) algorithm is utilised to search for multiple diverse feature subsets in the huge feature space. A set of diverse-based classifiers are built based on these subsets and ensemble to improve the final classification performance. Compared with several existing classical algorithms and ensemble feature selection methods, the proposed method can achieve higher predictive accuracy.
DLSM: Distance Label Based Subgraph Matching on GPU

Graphs have been prevalently used to represent complex data, such as social networks, citation networks and biological protein interaction networks. The subgraph matching problem has wide applications in the graph data computing area. Recently, many parallel matching algorithms have been proposed to speed up subgraph matching queries, among which the filter-join framework is attracting increasingly attentions in recent years. Existing filtering strategies are able to compress candidate vertex sets to a certain size. However, quite a few invalid vertices are still left, leading to unnecessary computation in later joining phases. We observed that the shortest distance between vertices can act as an important condition to further refine the candidate set. In this paper, we propose a method of shortest distance estimation based on the observation and design a new method based on distance coding. By this means we improve the efficiency of subgraph matching. The experimental results suggests that our method is more efficient and scalable than the state-of-the-art method.
Günümüz Yapay Zeka Teknolojisi ve 'Robot Yargıç/Avukat' Gerçeği (Artificial Intelligence Technology Today and the Reality of 'Robot Judge / Lawyer')

Turkish Abstract: Bu yazimda yapay zekanin ne oldugu ve nerden dogduguna deginip; yapay zekâ teknolojisinin gelecegi hakkindaki senaryolardan ozellikle hukuk alanina olan etkilerinden bahsedecegim. Tabi yazinin ucu bize de dokunuyor. Bu yaziyi okuyan bircok kisi acisindan gecerli oldugu uzere benim de bildigim tek is avukatlik ve ogretim uyeligi; yani gecimimi profesyonel hukuk hizmetlerinden sagliyorum. Dolayisiyla bu gelismeler ve tartismalar isiginda sunu soruyorum: Meslegimiz ve gecim kaynagimiz elimizden gidiyor mu?English Abstract:: In this article, I touched on what artificial intelligence is and where it was born; I will talk about scenarios about the future of artificial intelligence technology, especially its effects on the legal field. Of course, the tip of the article touches us too. As is true for many people who read this article, the only job I know of is being a lawyer and a faculty member; that is, I earn my living from professional legal services. Therefore, in the light of these developments and discussions, I ask the following: Are our profession and livelihood going out of our hands?
Errors Analysis of Students’ Pronunciation in Pronouncing English Vowels and Consonants at Second Semester Class A2 of Batanghari University

This research aimed to find out what vowel and consonant sound are difficult to be pronounced by the students at the second semester class A2 of Batanghari University. This research is done in the form of sound recording. It employed a qualitative method that consisted of two kinds of test, there were text that consisted one paragraph and word list that include 86 items. The subject of the research was the second semester class of Batanghari University in academic year 2020 namely class A2 that consisted of 17 students. The data were collected through text and word list, and were analyzed qualitatively. The result of the research showed that the students at second semester class A2 of Batanghari University got some English vowel and consonant difficult to pronounce. The result showed that, the English vowel sound which difficult to pronounce by the students are: /ɪ/, /e/, /ɒ/, /˄/, /Ʊ/, /Ȝ:/, /ə/, /i:/, /u:/, /ɔ:/, /eə/, /eɪ/, /əƱ/, /aƱ/, /ɔɪ/, /ɪə/, /eə/ and /Ʊə/. There were ninety occurances of errors in pronouncing vowels made by the students by listen their sound record. And the English consonant sound which difficult to pronounce by the students are: /k/, /tʃ/, /f/, /s/, /ʃ/, /h/, /d/, /dȜ/, /v/, /Ȝ/, /m/, /n/, /ƞ/ and /w/. It was known that there were thirthy-eight occurances of error in pronouncing consonants made by the students. The higher percentage in symbol /ɪ/ with 13,28%, the errors happened in seventeen times. And the lower percentage is 0,78%, the errors happened in once in each symbol. It seen in symbol /Ȝ:/, /eə/, /eɪ/, /ɪə/, /f/, /s/, /ʃ/, /d/, /Ȝ/, and /w/. The students still make errors that caused by their first language or their mothertongue, language background of the students and learning process.Key Words: Error Analysis, Pronunciation, English Vowels and Consonants
KARTUN CERIA (CERITA REMAJA INDONESIA) TENTANG PENDIDIKAN SEKS SEBAGAI PENUNJANG MATERI AJAR SISTEM REPRODUKSI DI SMP

This development research aims to determine: (1) Content Feasibility; (2) Feasibility of Presentation, (3) Feasibility of Language (Readability), and (4) Feasibility of Design of Ceria Cartoon Calendar (Indonesian Youth Story) for Junior High School students. The research procedure uses the Thiagarajan development model which consists of four stages (four-D models), namely: define stage, design stage, develop stage and disseminate. The feasibility analysis was carried out using a questionnaire instrument which was assessed by three parties consisting of Expert Validators, Biology Teacher Reviewers, and a Student Perception Questionnaire of the Cheerful Cartoon Calendar (Indonesian Youth Story) Biology Class IX SMP PGRI 24 Medan. Analysis. The results of this study showed that: (1) The Feasibility of the Contents of the Ceria Cartoon Calendar (Indonesian Youth Story) obtained good criteria, (2) the Feasibility of the Presentation of the Cheerful Cartoon Calendar (Indonesian Youth Story) obtained very good criteria, (3) the Feasibility of Language (Readability) Calendar Ceria Cartoon (Indonesian Youth Story) obtained good criteria, and (4) the Feasibility of the Ceria Cartoon Calendar (Indonesian Youth Story) Design Feasibility criteria obtained very good eligibility criteria. The results of this study imply that the Ceria Cartoon Calendar (Indonesian Youth Story) Biology has good criteria to be used for adolescent students, especially in class IX SMP in conveying information about knowledge about sex education in supporting reproductive system materials in the classroom.
Construction of Library Periodical Document Management Under Network Environment

Under the network environment, the traditional books management model of journal literatures have been unable to adapt to the needs of the development of The Times, therefore, the librarian need to make full use of network technology to optimize the management structure of library periodicals and literature, innovate the management mode of library periodicals and literature, fully excavate valuable journal resources, use big data technology to understand readers' reading needs by analyzing their information, and do a good job in the integration of library collection resources and journal information science literature analysis.
A Framework for Building a Multilingual Industrial Ontology: Methodology and a Case Study for Building Smartphone English-Arabic Ontology

As Web 3.0 is blooming, ontologies augment semantic Web with semi–structured knowledge. Industrial ontologies can help in improving online commercial communication and marketing. In addition, conceptualizing the enterprise knowledge can improve information retrieval for industrial applications. Having ontologies combine multiple languages can help in delivering the knowledge to a broad sector of Internet users. In addition, multi-lingual ontologies can also help in commercial transactions. This research paper provides a framework model for building industrial multilingual ontologies which include Corpus Determination, Filtering, Analysis, Ontology Building, and Ontology Evaluation. It also addresses factors to be considered when modeling multilingual ontologies. A case study for building a bilingual English-Arabic ontology for smart phones is presented. The ontology was illustrated using an ontology editor and visualization tool. The built ontology consists of 67 classes and 18 instances presented in both Arabic and English. In addition, applications for using the ontology are presented. Future research directions for the built industrial ontology are presented.
Pedagogical Mechanisms of the System of Preparation of Future Teachers for Higher Educational Institutions for Social and Pedagogical Activity

The article provides ideas for improving the pedagogical mechanisms of preparation of future teachers of higher education institutions for socio-pedagogical activities, the work of teachers and members of the scientific community. Also, the management of the higher education system in accordance with the needs of the students of the period is an integral part of socio-pedagogical management in society. It was noted that in order to create certain conditions for students, it is necessary to constantly develop the activities of the educational institution. It is noted that the state of education in the near future is planned on a scientific basis, and the professional training of future teachers is associated with the problem of preparation for socio-pedagogical activities.
KOHESI DAN KOHERENSI DALAM ARTIKEL ILMIAH POPULER DI MEDIA MASSA

Writing is essentially describing ideas both in journals and in the mass media. This skill is considered as a method of binding knowledge and educational insights, including writing popular scientific papers in the mass media. This study aims to examine the cohesiveness and coherence of texts in the mass media. The data from this study were 5 (five) articles in one of the mass media published in 2017. This study used a descriptive qualitative method, meanwhile, the data was analyzed using the Miles and Huberman model. The results showed that to establish cohesion and coherence in the text, the writers had used conjunctions and punctuation well. However, in terms of coherence, they are still hampered in the process of assembling and sorting ideas that are acceptable in the context of the text.
The Expressivity of Musical Improvisation

On September 29, 2015 Phil Woods died. Often compared to such giants in the field as Charlie Parker and John Coltrane, Phil Woods is generally regarded to be one of the greatest jazz saxophone players in the history of the genre. Musical improvisation is, after all, a demanding activity and, as with all other human activities, people make mistakes. Skepticism about musical expression is typically fueled by one or both of two worries, both of which have their most famous modern formulation in the works of the Austrian music critic Eduard Hanslick. Much philosophical attention has been directed toward the question of understanding musical expression as a feature of pieces of music, considered objects of awareness to listeners. Jazz musicians frequently manipulate and play with tonal timbre in their improvisations. One technique players sometimes employ is a kind of tonal growl.
The Effect of Graphic Organizer (KWL Chart) on Young Learners’ Reading Comprehension in an ESL Setting

KWL is a pre-reading strategy used to improve reading comprehension. This paper aims to discover the effectiveness of the Know-Want-Learn (KWL) strategy in improving year-4 pupils’ reading comprehension is one of the elements assessed in the UPSR Examination in Malaysia. This study reports quasi-experimental research on the use of a KWL chart (graphic organizer) on year 4 pupils’ reading comprehension in an ESL setting. Thirty pupils were chosen using purposive sampling in a primary school at Kuala Lumpur. The test was conducted with 30 ESL pupils of the same age group. A pretest of reading comprehension was then administered to evaluate the participants’ comprehension skills. The Quasi-experimental research design used to carry out this study. Participants were separated into two different groups: an experimental group and a control group. The participants of the experimental group used the KWL Chart to answer comprehension questions; the control group received the conventional method of teaching to answer reading comprehension questions. At last, all the participants answered a post-test on reading comprehension. This innovative strategy can be used to develop pupils’ reading comprehension not only for pupils in year-4 but also for pupils at other levels.
A Survey on System-Level Design of Neural Network Accelerators

In this paper, we present a brief survey on the system-level optimizations used for convolutional neural network (CNN) inference accelerators. For the nested loop of convolutional (CONV) layers, we discuss the effects of loop optimizations such as loop interchange, tiling, unrolling and fusion on CNN accelerators. We also explain memory optimizations that are effective with the loop optimizations. In addition, we discuss streaming architectures and single computation engine architectures that are commonly used in CNN accelerators. Optimizations for CNN models are briefly explained, followed by the recent trends and future directions of the CNN accelerator design.
Heading at Enabling Settings for Learning

The paper draws on two cases of learning settings that were converted to meet up-to-date educational requirements within these learning contexts. The authors address the role of stakeholder perspectives. Focusing on the learning situation, they present an articulation tool to aid dialogue between key stakeholder perspectives in a (re)design process. Dialogue is a way to figure out relevant issues and to establish the common ground between participants. The goal of a redesign process is that user requirements are well understood, and the design is embedded into local practices, informed of constraints and aware of potential opportunities regarding educational technology.
Investigating Speech Attribute Features for Anti-Phone based Pronunciation Verification Approach

With increased computing power, there has been a renewed interest in computer-assisted pronunciation learning (CAPL) applications in recent years; Automatic accurate pronunciation verification method plays an important role in automating the learning process and increasing its quality.Pronunciation errors can be divided into phonemic and prosodic error types.In this paper we propose a phonemelevel pronunciation verification method for Quranic Arabic based on anti-phone model.For each phoneme a binary support vector machine (SVM) classifier is trained to distinguish each phoneme from other phonemes.The (SVM) classifier is trained using speech attribute features derived from a bank of speech attribute detectors, namely manners and places of articulation.The feed forward deep neural network (DNN) architecture is utilized for the speech attribute detectors.The system is evaluated against speech corpora collected from fluent Quran reciters and achieved phonemelevel false-acceptance and false-rejection rates ranging from 2% to 25%.
An analysis of English Department Students’ Accuracy and Originality in Paraphrasing Science Text

Getting valuable information when write papers, paraphrase is an useful process. This research was conducted with aims to find out the students skill in paraphrasing, the problems faced and the causes of the problems in paraphrasing. There were 16 participants in this study. The data were collected from paraphrasing test, interview and questionnaire. The finding of the data analysis showed 62.5% of the students‟ ability in paraphrasing qualified in unsatisfactory level. From the test, it was found that the students made mistake in changing the order of ideas, lack of understanding toward the criteria of a good paraphrasing and changing word as their problem in paraphrasing. Last, lack of vocabulary and understanding about paraphrasing included as the causes of the students’ problems in paraphrasing.
Forecast-exploration model of gold deposits of the Toupugol-Khanmeishor ore cluster as a basis for identification of promising areas for geological exploration within the Malyi Ural volcano-plutonic belt in the Polar Urals

A forecast-exploration model of gold deposits of the Toupugol-Khanmeishor ore cluster was developed, which made it possible to recommend geological exploration within other promising areas of the Malyi Ural volcano-plutonic belt (VPB) in the Polar Urals. The studies have demonstrated that the Manyukuyu and Kokpela potential ore clusters of the Tan’yu-Lagorta complex ore district in the southern Malyi Ural VPB represent the most promising targets for the further prospecting for lode gold mineralization assigned to various structural-compositional subtypes of the gold-sulfide-quartz mineral type.