Reviewerly/exHarmony huggingface dataset:
Analisa Dan Audit Tata Kelola Teknologi Informasi Dengan Cobit 5 Framework P.O.07 Pada Biro Administrasi Umum Universitas Muhammadiyah Palangkaraya

Information technology governance is an integrated part of organizational management that includes leadership, organizational structure and processes that ensure that information technology is utilized as optimal as possible. An institution similar to UMP, especially in the BAU section, it is time to be managed on an IT-based basis in view of the complexity of the work and for the efficiency and effectiveness of the work of employees working at BAU UMP. The purpose of this study is to determine the condition of IT governance in the UMP BAU for now and analyze IT needs for the next 5-10 years by applying the COBIT 5 Framework method. Based on respondent data, for the next 5-10 years, BAU UM Palangkaraya requires at least 6 staff with educational background in IT or Computer Science for each section of 1 staff member. For further research is to work on subdomains PO.08 and PO 09.
학부 유학생 대상 전공 수업에서의 교사 질문 전략 연구 -경영학 전공 한국어 수업 사례를 중심으로-

The purpose of this study was to analyze teacher’s questions in Korean class for Korean language learners who majored in business administration. As a starting point of the study, this study aimed to analyze the frequency of teacher’s questions and its types as well as in the teaching-learning process. After the teacher’s questions in the Korean class for academic purpose were recorded and transcribed, the types of questions by the level of class were analyzed. A total number of questions were 649 and especially, Echoic question accounted for 48% which was the highest percentage, followed by epistemic questions(30.4%) and expended questions(20.6%). Further studies are required to analyze aspects of interaction of learners depending on the teacher’s questions by the teaching-learning steps, develop the question strategy and analyze the effective and noneffective questions for the learners as well. (Honam University)
Strongly \({g^{*}}\)-Closed Graph Function with Strongly-\({T_{i}{^{g^{*}}}}\) Spaces

In this paper, we introduce the graph function called Strongly \(g^{*}\)-closed graph function and studied some of their properties.
Theological Review of Emotional Intelligence for Educators

&lt;p class="abstracttextDILIGENTIA"&gt;Being a teacher is a rewarding yet challenging and demanding profession. Educators have complex roles because beside teaching knowledge, they must develop students’ skills (creativity, critical thinking, communication, and collaboration), attitudes, and values for work, citizenship, and life in the 21st century. In the 21st century, educators who are expected to be role models for students must develop their emotional skills. Different studies have showed that the key to success is not just cognitive intelligence, rather 80% of success in life depends on emotional intelligence.&lt;a title="" href="#_ftn1"&gt;[1]&lt;/a&gt; Emotional intelligence is evaluated as an important, valuable, and potential personal resource for coping with threats, challenges, and organizational setting related to tasks where emotional skill is required for successful performance such as school teaching. 4 competencies of emotional intelligence are self-awareness, self-management, social awareness, and relationship management. This paper aims at analyzing whether emotional intelligence is coherent to biblical concepts. Discussion will be started by analyzing presuppositions of emotional intelligence which have been used by scholars, then reviewing and reconstructing emotional intelligence theologically to keep it aligned with biblical truth.&lt;/p&gt;
Dai testi scritti alla sgrammatichetta. Sullo status del burocratese della Regione Campania

This paper is divided into four parts. The first part traces the interweaving of production (in particular written production) and (in)comprehension as in Demaurian thought. In the second part, a specific study, which is a section of a broader project entitled Public Administration: simplifying decision-making processes, improving performances , is presented. This study’s aim is to observe in texts written by the Campania Region those typical linguistic features of bureaucratese which can generate problems of comprehension. For the realization of the study, as a first step three texts homogeneous with respect to some variables but different with respect to others were selected (the texts are public notices or announcements through which European Union financial resources are provided to external and heterogeneous users). As a second step, fourteen comparable articles were extracted from the texts and analyzed at the morphosyntactic, lexical and textual levels. If on the one hand the analysis shows the resistance of a by now consolidated bureaucratese, on the other hand it is possible to outline a bureaucratese moving in synchrony downwards, characterized by grammar mistakes which occur repeatedly at the graphic, syntactic and lexical levels. These grammar mistakes are collected in a model of bureaucratese short ungrammar ( sgrammatichetta ) elaborated in the third part of the paper. The fourth and last part is a reflection on the role of schools and universities, places dedicated to training in even bureaucratic writing, and on the main results of some didactic experiments already carried out on (re)writing bureaucratic texts.
THE EFFECT OF DRTA STRATEGY ON THE STUDENTS' READING COMPREHENSION OF WISNUWARDHANA UNIVERSITY OF MALANG, INDONESIA

The purposes of this study are (1) to examine differences in the ability of students who are taught by using DRTA strategy with students who are taught by SQ3R strategy in understanding the text, (2) to examine the effect of DRTA strategy oni the ability of students in understanding the content of the reading. The design of this study was two pertest group post-test design. In this study, the experimental group and the control group were measured before and after receiving treatment. The Data analysis by using t-test showed that (1) the results of the data analysis for posttest of DRTA and SQ3R strategy was 3.559 with a significance level of 0.001 (0.001<0.05), it can be concluded that there was significant difference between the result of post-test of DRTA strategy with the results of post-test of SQ3R strategy, (2) the results of the pretest and posttest analysis of DRTA strategy was 0.338 (0.038<0.05), it means that there was the influence of DRTA strategy on the students' reading comprehension. Article visualizations:
Dante e la codificazione grammaticale nel XVI secolo

The article aims to analyze the image of Dante within the grammatical codification in the Italian Renaissance. As it is well known, the grammarians took as their model the thirteenth-century language of the Three Crowns to develop the rules to be applied later to the written language. If the language of Petrarch and Boccaccio fixed the model to follow for poetry and prose, in this century the language of Dante experienced a sort of “Bembian censorship”. This censorship was due to the interpretation, within the  Prose della volgar lingua by Pietro Bembo, of the crude and dishonored words of the  Comedy (see Prose II. 5). The article traces the positions of the main grammarians with respect to Dante’s linguistic structures: through a systematic investigation of the quotations of Dante’s works within the main grammar books of the sixteenth century (by Fortunio, Bembo, Del Rosso, Gabriele, Giambullari, and Varchi), the way in which Bembo’s position was interpreted and accepted or not in the Renaissance will be outlined. The article will show that after the death of Bembo the grammars will begin to receive more quotations from Dante’s works.
«Look Who&amp;apos;s Gone!» Chester Bennington as a Media Hero of &amp;lt;i&amp;gt;Our&amp;lt;/i&amp;gt; Time

frontman of Linkin Park -Chester Charles Bennington
다독을 통한 우연적 어휘 지식 습득에 관한 연구

The purpose of this study was to investigate whether EFL learners with advanced reading proficiency could acquire full or partial vocabulary knowledge from reading an authentic text. Fifty-seven advanced-level college EFL learners were asked to read a bestseller non-fiction self-help book titled The One Thing in the same manner as they normally do outside the classroom within the limit of 4 weeks. Upon the completion of reading, productive and receptive recall vocabulary tests and a semantic priming task were administered to determine whether extensive reading experience can enhance both explicit and implicit lexical knowledge. The results showed that the participants acquired vocabulary through reading, but only relatively small amounts. With regards to implicit vocabulary knowledge, positive semantic priming effects were observed in lexical decision task, which indicates that the participants were able to form lexical representations of target words.
Penggunaan Media Audio Visual Untuk Meningkatkan Keterampilan Menulis Berita di SMP Negeri 2 Sawit Boyolali

The lack of news writing skills of grade VIII student is caused by several factors including: students speak more often, so they do not focus on writing habits that cause students to be lazy. In this study the object of research in class VIII SMP N 2 SAWIT Boyolali consisted of 10 students. Data collected by several techniques such as observation and tests. Analysis of the data is a research procedure that is data in the form of written words. Data collection instruments used in the study are guidelines or observations and test. Audio visual results of observations and assesment about the use of media in news writing material have a change in direction for the better. In the first cycle using an audivisual media score reached 31 with a score of 60 included in the exellent category. From the written test results in cycle 1 the average score of 70 students with classical completeness of 46.6% and written test results in cycle 2 the average score of student was 83.9% with classical completeness of 93.3%. improvements obtained by students in earch cycle prove that the use of audio visual media on news text writing material can be said to be effective
Blume Library: Cybersecurity Policy and Law: Articles, Journals, Databases

Guide created in Spring 2020 for CS4368 / CS6368. The sources describe here are suggested for the course literature review and paper. links to periodical databases and related content, for computer science topics
Maximum Likelihood Estimators for α-Stable Distribution

‎The class of α-stable distributions incorporates both heavy tails and skewness and so are the most widely used class of distributions in several fields of study which incorporates both the skewness and heavy tails‎. ‎Unfortunately‎, ‎there is no closed-form expression for the density function of almost all of the members of this class‎, ‎and so finding the maximum likelihood estimator for the parameters of this distribution is a challenging problem‎. ‎In this paper‎, ‎in order to tackle this issue‎, ‎we propose some type of EM algorithm‎. ‎The performance of the proposed EM algorithm is demonstrated via simulation and analyzing three sets of real data‎.
Library guides: Research data: Multidisciplinary datasets

A curated list of external research data repositories, registries and platforms of most relevance to Griffith researchers.
Comparative and correlation analysis of experimental work for development of university teacher's knowledge management skills

The paper considers the problem of the inconsistency of the traditional educational process of higher education with changes in the socio-economic environment at the present stage of development of society. The conditions that are necessary today for training students with multidisciplinary thinking oblige the teacher to act as a consultant, coach, mentor and manager-organizer of the educational process, which has now become identical to the knowledge management process. Changing the role of the teaching staff of the educational organization of higher education actualizes the task of development of university teacher's knowledge management skills. The article presents the results of comparative and correlation analyzes of experimental work on development of university teacher’s knowledge management skills, considered as an integrative property of a person, combining value-motivational, instrumental-digital, scientific-research, evaluative-analytical, interactive-communication and academic and business components. The author proposed indicators of the selected components in the readiness structure, described their development and determined the dominant indicators of each component as a result of establishing and formative experiments. The materials of the experimental work presented in the article are aimed at identifying and enhancing both the relationships between the components of development and the relationships between the dominant indicators of structural elements. The results obtained indicate the development of all components in the readiness structure by means of additional professional educational programs. The analysis allows us to talk about the possibility of forming the components of the university teacher’s development for knowledge management due to the compensatory properties of indicators of the elements of its structure.
Teachers’ Attitudes Toward Discovery Learning: A Case Study in Writing Class

This research investigated teachers’ attitudes and practices towards discovery learning, and also&#x0D; teachers’ challenges in teaching writing. The method of this research used a case study. To collect the&#x0D; data, there were three ways, namely observation, interview, and documentation. The credibility data&#x0D; were checked through data triangulation and methodological triangulation. To analyze the collected&#x0D; data, it was used data reduction, data displays, and verification. The findings showed that teacher 1&#x0D; and teacher 2 had a negative attitude in writing skill, but they had positive attitudes towards&#x0D; discovery learning in teaching writing. It was found that they enjoyed and liked using discovery&#x0D; earning. Additionally, their practices could transfer all activities to encourage students had a good&#x0D; writing. The challenges of using discovery learning in writing class were required much time and&#x0D; many classroom activities. Thus, the teachers played many roles in the process of writing.
APLIKASI LAUNDRY SEPATU PADA MASTER SIPATU LAUNDRY DI KOTA BATAM DENGAN VB.NET DAN MYSQL

Laundry business developed rapidly in recent years, it is influenced by people's lifestyles are almost instantaneous with increasingly supported by rising income levels that make these types of businesses are increasingly in demand by urban and rural communities. Laundry business in Batam city are often found in each place. Master Sipatu Laundry is one of the laundry business that is growing in the city of Batam. In contrast to the laundry in general Master Sipatu Laundry special serve services Laundry washing shoes. The application of a manual system to a computerized the Master Sipatu Laundry indispensable in order to provide effective services to customers and also facilitate the clerk starts from customer registration, laundry entry the payment process to preparing reports. Design and implementation of applications in the Master Sipatu Laundry Shoes uses programming launguange VB.net and using MySql database. With the application of shoes laundry are expected to minimize data errors in the data recording transactions and preparing reports.
IMPLEMENTASI METODE FORWARD CHAINING UNTUK MENDETEKSI PENYAKIT PADA TANAMAN KELENGKENG

Kelengkeng or Dimocarpuslongan plant is one of the fruit plants that is widely developed by the community. Longan plants are very healthy with nutritional content, but unfortunately, these plants are susceptible to diseases, so it is necessary to build a system to educate the public about the symptoms and diseases of Kelengkeng fruit plants. Disease detection in this study uses the Forward Chaining method which can conclude several symptoms using the if-then rule. So, the question in this research is how to implement the Forward Chaining method for the detection of diseases in longan plants based on the knowledge base supported by an expert in agriculture and plantations.
BoostER: A Performance Boosting Module for Biomedical Entity Recognition

Biomedical Entity Recognition tasks have gained significant importance in the clinical research domain. There has been a lot of prior work on improving entity recognition of biomedical concepts from using rule-based to more context-dependent deep learning-based approaches. However, due to its high domain dependency and distinctive vocabularies, appropriate utilization of contextual knowledge becomes a challenge even for context dependent deep models. To this end, we propose a novel performance-boosting improvement module “BoostER” that can be applied to any existing entity recognition system to boost its performance in terms of precision and F1 scores. The proposed module has been developed on top of a pre-trained BERT model and fine-tuned to give more weights to contextual learning compared to word-specific information. We tested our system with Chemical and Disease Entity Recognition tasks using the BioCreative CDR dataset to demonstrate its effectiveness compared to existing state-of-the-art models.
Frekuensi Hari Hujan Menurut Bulan di Kota Balikpapan dengan Rantai Markov Waktu Diskrit

The problem proposed in this research is about the amount rainy day per a month at Balikpapan city and discretetime markov chain. The purpose is finding the probability of rainy day with the frequency rate of rainy at the next month if given the frequency rate of rainy at the prior month. The applied method in this research is classifying the amount of rainy day be three frequency levels, those are, high, medium, and low. If a month, the amount of rainy day is less than 11 then the frequency rate for the month is classified low, if a month, the amount of rainy day between 10 and 20, then it is classified medium and if it is more than 20, then it is classified high. The result is discrete-time markov chain represented with the transition probability matrix, and the transition diagram.
Netspeak and Social Media Use Among University Students

The emergence of social media like Facebook, Twitter, and Instagram has changed how human beings communicate, and led to the emergence of Netspeak. For example, combination of abbreviations, acronym and emoticons. This study examines Netspeak and social media use among university students in terms of their habits, behaviours and content of communication. The participants were 138 undergraduates from a public university. Two kinds of data were collected: Social media conversations for analysis of Netspeak features, and questionnaire on social media usage. The findings show frequent adaptation of spelling and mechanics to speed up typing and to enhance expressiveness of messages. The use of slang characterises the informal communication with friends and family on everyday topics, mostly using Twitter and FB.
Dimension Reduction Algorithm of Big Data Based on Deep Neural Network

Dimensionality reduction refers to mapping data from high-dimensional space to a low-dimensional space, which is the main method of high-dimensional data mining. The restricted Boltzmann machine, the basic structure module of deep learning, is introduced and analyzed. The high-dimensional data reduction model based on restricted Boltzmann machine is established. At the same time, the validity has been verified theoretically and experimentally. It makes the depth model as compact and simple as possible without losing the precision, and the calculation speed is improved. Experiment results show that the model identification is of high accuracy. In particular, the depth model built by RBM based on the adaptive adjustment of hidden layer node units not only has high recognition accuracy, but also greatly improves the computing speed and saves the storage space.
Improving Prediction Models for Mass Assessment: A Data Stream Approach

Mass appraisal is the process of valuing a large collection of properties within a city/municipality usually for tax purposes.The common methodology for mass appraisal is based on multiple regression though this methodology has been found to be deficient.Data mining methods have been proposed and tested as an alternative but the results are very mixed.This study introduces a new approach to building prediction models for assessing residential property values by treating past sales transactions as a data stream.The study used 110,525 sales transaction records from a municipality in the Midwest of the US.Our results show that a data stream based approach outperforms the traditional regression approach, thus showing its potential in improving the performance of prediction models for mass assessment.
Mobile pedagogy for english language teaching and learning: A case study on the english as second language learners

There have been remarkable changes in the educational field in the twenty-first century and the concept of teaching and learning has taken a new dimension. The old and traditional methods have been avoided by most of the teachers and they have been using the latest methods of teaching. This change is also observed in teaching English also. While teaching to the learners of English as a second language also, the teachers have been implementing all techniques and methods to make the learners understand the concept. In this regard, the teachers are welcoming modern technology in their classrooms. The teachers as well as the learners of English have been using mobile devices on order to make the learning a successful one in the classroom. Since learning through mobile devices creates more interest among the learners, the teachers have been encouraging the learners to use their mobile devices in the classroom. This paper mainly focuses on the mobile pedagogy for English language teaching and learning to teach the learners of English as a second language. It also
LibGuides: Accessing Digital Archives: Website Archives

This guide provides tips for accessing Wilson Special Collections Library's website archives, social media archives, and born-digital collections.
MISCOMMUNICATION IN INTER CULTURE INTERACTION IN SYSTEMIC FUNCTIONAL LINGUISTIC PERSPECTIVE

Bali is one of tourism objects visited by either domestic or international guests because Bali has been trusted to have uniqueness of culture, safety, cleanness and other reasons. Of course, in the process of interaction involving local people and guests (either domestic and international). Miscommunication often occurs in interpreting something during interaction process. One of the reasons is misunderstanding culture owned by the speaker and listener. Doing interaction language is involved in which culture is inside of language. To succeed communication, both speaker and listener must apply the concept of context of situation involving field, tenor and mode purposed by Halliday.This paper focuses on miscommunication caused by misunderstanding of application of context of situation in community. Halliday stated that whatever we spoke, listen, read and wrote was called text. This paper will analyze miscommunication from Systemic Functional Linguistics (SFL) specially context of situation. Therefore, the title of the paper is “MISCOMMUNICATION IN INTER CULTURE INTERACTION IN SYSTEMIC FUNCTIONAL LINGUISTIC PERSPECTIVE”. This paper analyzes some kinds of miscommunication which occurred in community. The result of research is that misinterpretation of text is caused by misunderstanding of cultureKeywords: field, tenor, mode, social interaction