Reviewerly/exHarmony huggingface dataset:
On GPU Implementations of Encryption Algorithms

With current evolution in technology and digitization process we see more often that data breaches are a real problem.There is a gap in data privacy because by using digital information processing we have three big zones of interest: data at rest, data in use and data in transit.The objective of this paper is to emphasize the importance of privacy and how data at rest and data in transit can be protected using cryptographic primitives.By using graphical processing units (GPUs) and special processor instructions (AES-NI) we accelerated some of the mainly used symmetric encryption schemes.By comparing the results with classical CPU implementations, we obtained for AES-128 a speedup of approximately x346 in OpenCL implementation and x123 by using CUDA framework.When having compared the same result with the AES-NI instruction set version, we got an improvement factor of 1.6.We also accelerated 3DES using the same frameworks and we managed to quicken the encryption with a speedup of x1101 using CUDA, respectively x2365 for OpenCL.
INGREDIENTS OF QUALITY EDUCATION AT TERTIARY LEVEL: AN ASSESSMENT OF HIGHER EDUCATION IN BANGLADESH

The fundamental philosophy of a country's socio-economic, political, and cultural development is ensuring quality education from primary to tertiary level.Quality Education refers student centric learning system which helps to achieve objectives and outcomes of a specific program and ensures that students really learn to meet the needs and demands of the market, the society and the nation as a whole.It is found that there are some important ingredients affecting quality education of a state such as socio-economic condition, curriculum and syllabus, faculty recruitment system, faculties and their skills and expertise, secured environment, application of diverse teaching instructions, setting learning outcomes and objectives, students and their engagement etc.However, Bangladesh higher education is still struggling in ensuring quality education due to having several challenges like Politics in faculty recruitment, weak assessment and monitoring system, lack of accountability of faculties and administrative staffs, unexpected politics in educational institution, weak curriculum and syllabus, lack of quality research, limited infrastructural facilities, missing of modern teaching aids etc.Therefore, this study is an attempt to diagnose the current state of Bangladesh higher education in order to finding the problems out and presenting policy note to ensure quality education at tertiary level of Bangladesh.
Instant fuzzy search using probabilistic-correlation based ranking

Background: Instant search recommends completions of the query `on the fly', and instantly displays the results with every keystroke.It is desirable that these query results be robust against typographical errors that appear not only in the query but also in the documents.Additionally, instant search requires instant response time and ranking of the results to focus on the most important answers.Method: In this study, simple and efficient methods for instant fuzzy single keyword and multi-keyword search that are resilient to typographical errors and that employ no more than inverted and forward indices are studied.While computing search results incrementally using the cached results, the answers are ranked based on their relevance to the query using probabilistic correlation based ranking.Findings: Experiments are conducted on data sets DBLP and Medline and the execution time for obtaining answers to instant fuzzy single keyword search is recorded for different prefix lengths.Similarly, the execution time for obtaining answers to instant fuzzy multi-keyword search is recorded for sub-queries of two keywords and three keywords for various prefix lengths on the same data set.Furthermore, in order to measure the usefulness of the proposed correlation based ranking, precision is calculated for the search results.Experimental evaluation demonstrates the efficacy of the instant fuzzy search algorithms and the probabilistic correlation based ranking.Applications: The proposed instant fuzzy keyword search for single and multiple keywords not only improves the efficiency but also the quality of the search results.
The Automatic Generation of Arabic Sentences Based on a Minimalist Approach

The automatic generation of sentences is a domain of Natural Language Processing (NLP); it is placed in the middle of computer science and linguistics.This is a very complex discipline; the aim of this is to create automatically correct sentences from a list of words which can serve as the basis for such various applications such as automatic translation, question-answering systems, correcting syntactic errors and so on.In this study, we present the use of the linguistic approach of Chomsky's minimalist grammar.We begin with the elaboration of the lexicon that constitutes the essential link of the generation.Then, based on this lexicon, we treat the merge and move operations to build a syntactically correct sentence.
Combining predicate transformer semantics for effects: a case study in parsing regular languages

This paper describes how to verify a parser for regular expressions in a functional programming language using predicate transformer semantics for a variety of effects. Where our previous work in this area focused on the semantics for a single effect, parsing requires a combination of effects: non-determinism, general recursion and mutable state. Reasoning about such combinations of effects is notoriously difficult, yet our approach using predicate transformers enables the careful separation of program syntax, correctness proofs and termination proofs.
Academic emotions in a didactic sequence of Language and Literature in secondary education

A few years ago, research focused on the study of emotions experienced in academic contexts emerged. In the present study, we focused on identifying and describing the academic emotions experienced by a group of secondary school students faced with reading tasks proposed in the subject Language and Literature in 2018. For the data collection we made observations of the classes corresponding to a didactic sequence, we administered a questionnaire that evaluates emotions in classes (AEQ) and we interviewed the students. The results are organized in three axes: description and analysis of the tasks proposed in the observed classes; emotional profile of students and their expressions about their emotions in relation to the sequence. To conclude, we refer to the objectives achieved and the contributions made by the study, and we also mention some future lines of research.
Pelatihan Jurnalistik Untuk Siswa Kelas XI MA Darussalam Barambai

This service aims to improve students' mental and academic abilities in understanding and practicing journalistic issues, especially writing news articles. The method used in this service is in the form of lectures, discussions, questions and answers, simulations of writing news articles, and evaluating. The target in this service is class XI students in MA Darussalam Barambai consisting of only 1 class. The results of this community service show that class XI students in MA Darussalam Barambai get good grades in the simulation of making articles / news manuscripts. 80% have reached the completeness criteria and passed. 20% is still in the realm of space and needs more practice in writing article scripts.
Showing Your Work Doesn’t Always Work

In natural language processing, a recently popular line of work explores how to best report the experimental results of neural networks.One exemplar publication, titled "Show Your Work: Improved Reporting of Experimental Results" (Dodge et al., 2019), advocates for reporting the expected validation effectiveness of the best-tuned model, with respect to the computational budget.In the present work, we critically examine this paper.As far as statistical generalizability is concerned, we find unspoken pitfalls and caveats with this approach.We analytically show that their estimator is biased and uses error-prone assumptions.We find that the estimator favors negative errors and yields poor bootstrapped confidence intervals.We derive an unbiased alternative and bolster our claims with empirical evidence from statistical simulation.
PARENTING PRACTICES OF EARLY CHILDHOOD EDUCATION TEACHERS IN DEVELOPING EARLY CHILDHOOD COMMUNICATION AND CRITICAL THINKING SKILLS: CASE STUDIES

This study aimed to analyze the implementation and strategies of parenting practices of Early Childhood Education (PAUD) teachers to develop the communicative skills and critical thinking of early children aged 5-6 years. This study employed qualitative method with a case study. Three kindergartens (TK) whose grade or accreditation is A and located in Jambi Province were involved as the sites of this study. Teachers, the principles and children aged 5-6 years were chosen as the participants of the study. The findings revealed that the implementation of parenting practices of PAUD teachers in developing the communicative and critical thinking skills of children aged 5-6 years referred to the lesson plan. Moreover, it was also found that the play time in two PAUD lasted for 60 minutes and another for 20 minutes, the teachers asserted that they did not really remember the learning theory of early childhood as the learning only referred to the lesson plan made in advance. Two PAUD assessed their students based on what those students had done, and another put an indicator derived from the basic competence. The materials designs and teachers competence in performing the learning process focused more on developing the communicative skill than the critical thinking. Almost all indicators of teachers treatment aimed to improve the communicative skill of children were achieved; however, two of four indicators aimed at improving the critical thinking were not made well by the teachers. The next researchers whose interests and passion deal with this similar issue might observe and investigate the correlation between the parenting practices of PAUD teacher and parents to develop and improve the early childrens skills.
RANCANG BANGUN MEDIA PEMBELAJARAN IPA (AYO MENGENAL HEWAN DAN TUMBUHAN) UNTUK KELAS 4 SD BERBASIS ANDROID

Natural science is one of the subject the related to daily life, that learned by student such grouping of animals, the life cycle of animals and plants. However in the learning process students are less motivated because the study method are less attractive. According to these problems natural science media using android platform was made for 4th grade student because students still have a high interest in Android smartphones and animation. The purpose of the study is to produce interactive and interesting media for learning, so the students can learn natural science easily and pleasantly. Waterfall method used in designing process. The testing phase in this study uses black box testing method and user acceptance test with students and teachers as respondence. The overall result for testing and questionnaire has the average 93,4%. It can be concluded that the application can run as expected and can be used as a media of learning for students.
A Preliminary Study: Indoor Navigation System for Wheelchair Users in KLIA2 using Dijkstra Algorithm

This paper describes a preliminary study for wheelchair users in the indoor environment for navigation purposes study using Dijkstra's Algorithm (DA) named as Gateway KLIA2 Wheelchair Indoor Navigation system (GK-WINs).Gateway KLIA2 located at Sepang, Selangor, Malaysia has been chosen as the area for the case study.Gateway KLIA2 is divided into 4 levels but this research focused on Level 1 and 2 only where the focal points are Arrival Hall, Express Rail Link (ERL) and Transportation Hub.A survey conducted towards 60 public respondents that related or having an experiment with the wheelchairs user.Despite the floor plan layout is available, yet the wheelchairs user has difficulties due to the eyesight limitations, movement limitations and communication barrier due to different language used.DA has been chosen as it helps users navigate the shortest path to the destination.As a result, wheelchairs users were able to find the shortest distance for indoor navigation from the current location to the destination location.GK-WINs is accepted based on the functionality and reliability test that been carried out against 9 users.In spite of the system reliability results show that the reduction distance is less than 30%, the t-test shows the good results of 0.01757 (p<0.05) and H 1 is supported as there is a significant difference between with and without the GK-WINs.
Using Machine Learning Approach to Identify Synonyms for Document Mining

Technical or knowledge documents, such as research papers, patents, and technical documents, e.g., request for quotations (RFQ), are important knowledge references for multiple purposes. For example, enterprises and R&amp;D institutions often need to conduct literature and patent searches and analyses before, during, and after R&amp;D and commercialization. These knowledge discovery processes help them identify prior arts related to the current R&amp;D efforts to avoid duplicating research efforts or infringing upon existing intellectual property rights (IPRs). It is common to have many synonyms (i.e., words and phrases with near-identical meanings) appeared in documents, which may hinder search results, if queries do not consider these synonyms. For instance, conducting “freedom-to-operate” (FTO) patent search may not find all related patents if synonyms were not taking into consideration. This research develops methodologies of generating domain specific “word” and “phrase” synonym dictionaries using machine learning. The generation and validation of both domain-specific “word” and “phrase” synonym dictionaries are conducted using more than 2000 solar power related patents as testing document set. The testing result shows that, in the solar power domain, both word level and phrase level dictionaries identify synonyms effectively and, thus, significantly improve the patent search results.
PENGARUH PEMBERIAN OKSIGEN DAN ELEVASI KEPALA 30º TERHADAP TINGKAT KESADARAN PADA PASIEN CEDERA KEPALA SEDANG

Head injury is directly or indirectly mechanical injuries that resulted wound in the scalp, skull fracture, tear the lining of the brain, and brain damage, and neurological disorders. The basic method for brain protection of head injury patients are freeing the airway and giving adequate oxygenation. Giving oxygen and headv elevation 30° of head are the appropriate action for the moderate head injury classification to launch the cerebral oxygen perfusion and to increase consciousness level. The purpose of this research were to determine the GCS before and after giving oxygenation with and position 30 ° of head and to analyze the effect of giving oxygen and headv elevation30 °of head to change the levels of consciousness of moderate head injury patients. This research was an Quasi-Experimental study with 10 respondents. The test were used Paired Sample T-test Test. The results showed that there was an effect of giving oxygen and headv elevation 30 °of head toward to change the level of consciousness of moderate head injury patients. GCS average value before was 10.10 and GCS average after 12.90 value was with p value was 0.000. &#x0D; &#x0D; Keywords : Levels of Consciousness GCS, Moderate Head Injury, Position 30° of the Head
Systematic Literature Review pada Analisis Prediktif dengan IoT: Tren Riset, Metode, dan Arsitektur

Nowadays IoT researches on intelligent service systems is becoming a trend. IoT produces a variety of data from sensors or smart phones. Data generated from IoT can be more useful and can be followed up if data analysis is carried out. Predictive analytic with IoT is part of data analysis that aims to predict something solution. This analysis utilization produces innovative applications in various fields with diverse predictive analytic methods or techniques. This study uses Systematic Literature Review (SLR) to understand about research trends, methods and architecture used in predictive analytic with IoT. So the first step is to determine the research question (RQ) and then search is carried out on several literature published in popular journal databases namely IEEE Xplore, Scopus and ACM from 2015 - 2019. As a result of a review of thirty (30) selected articles, there are several research fields which are trends, namely Transportation, Agriculture, Health, Industry, Smart Home, and Environment. The most studied fields are agriculture. Predictive analytic with IoT use varied method according to the conditions of data used. There are five most widely used methods, namely Bayesian Network (BN), Artificial Neural Network (ANN), Recurrent Neural Networks (RNN), Neural Network (NN), and Support Vector Machines (SVM). Some studies also propose architectures that use predictive analytic with IoT.
Pengaruh Sikap pada Ebook dan Sikap pada Buku Fisik terhadap Minat Baca Masyarakat di Era Industri 4.0

One of the creative industry’ products which are inside of it are writings and pictures produced from one's creative thinking is book. For some communities, reading physical books are still an option if compared with reading digital book or called e-book. This is related with the age, neighborhood, social status and the level of education. Along with the development of the times, there has been a lot of growing up the publishing industry and also the profession of book writer, but it is not end by printing physical books, but in digital platform only. The process of e-book selling is increase every day and it become a capable industry to sustain the economic needs of communities. The quantitative research that compiled by collecting questionnaire data to the people of Jakarta and surrounding areas provides data presentation that Ebooks and physical books are important factors that influence people's interest in reading in the industrial era 4.0. Both types of books have their own appeal to attract individual mints according to different age groups.
STUDENTS’ READING COMPREHENSION SKILL: THE ROLES OF TEXT READABILITY AND QUESTION DIFFICULTY

This research is trying to investigate whether students’ difficulties in comprehending high-order questions are related to the readability of the reading text and the difficulty of the questions. The subjects in this research are freshmen in Institut Teknologi Kalimantan. Using random sampling, students with different levels of reading skills are chosen. This research asked students to answer reading comprehension tests, consisting of questions ranging from literal to evaluative questions, with reading texts ranging from easy to difficult. The result shows that in almost all levels of reading texts, inferential and evaluative reading questions are considered as the most difficult, as shown by the few numbers of correct answers. The level of text readability also influences students’ comprehension with the ‘easy’ text has the most correct answers and the ‘difficult’ text the least. It can be seen that students need to be introduced to a variety of texts and to be taught to answer questions with different levels of difficulty.
Qualimetric Approach to Assessment Educational Achievements of Graduates

Introduction.Socio-economic transformations in Russia and the urgent need to meet the inevitable new demands of society and employers in ensuring technological safety associated with human factors have given priority to the problem of increasing the degree of formation of professional competencies of university graduates.The personal professional level of university graduates is objectively a socially significant quality of its readiness for effective and flexible work in the conditions of technical, technological, environmental, economic, managerial and educational changes to ensure the achievement of the main goals of safe and sustainable development of society.There is an obvious need for the definition and justification of scientifically based organizational and pedagogical conditions for the qualimetric assessment of control and measuring materials for educational achievements of university graduates.The goal is to present the results of a study of organizational and pedagogical conditions that contribute to increasing the reliability of the obtained results of test diagnostics of knowledge, skills and the degree of formation of professional competencies of university graduates.Methodology and research methods.The work was carried out based on the provisions of modern approaches and models of qualimetric monitoring (V.
Integrated Information Infrastructure of Georgian High Educational Institution

The paper presents the peculiarities of building information systems for high educational institutions in Georgia. A multi-level model for elaborating such systems has been developed, which involves integrating the main, external and internal information processes into a single information infrastructure. The importance of close information communication between higher education institutions and state educational structures is emphasized, and the analysis of application programs used for servicing individual information processes, as well as providing inter-process communication, is made. The presented paper also discusses the latest challenges of Georgian high educational institutions caused by coronavirus. In particular, the paper describes a model of transition to online education at a Business and Technology University of Georgia using cloud technologies, which made it possible to maintain a high level of education at the mentioned University and guarantee maximum access to the educational process for students and academic staff.
Application of NANDA, NIC, NOC Diagnosis: Acute Pain In Improving Quality of Nursing Documentation

Background: The diagnosis of pain documented in the nursing care process still needs to be evaluated. The reason is because there is still diversity in formulating the problem due to diverse nursing education, nurse knowledge, and even differences in reference standards used. Purpose: This study aimed to find out the application of diagnoses of nanda, nic, noc in improving the quality of nursing documentation.Method: This research method uses research design using descriptive analytics. The population in this study were 150 nurses in the inpatient hospital room of H.L Manambai Abdulkadir. The study sample was 73 nurses. The variable of this study is the application of diagnoses nanda, nic, noc in improving the quality of nursing documentation. Research instruments using questionnaires and statistical tests using frequency distribution.Results: The results show that the majority of nurse respondents had a female sex of 73%, and male sex numbered 27%. Based on the results of research that has been done, it was found that the majority of nurse respondents had an age of 31-40 years which was 41%, and those aged 20-30 years amounted to 32% and those aged &gt; 40 years amounted to 27%. Based on the results of research that has been done, it was found that the majority of nurse respondents had the Application of NANDA, NIC, NOC Diagnosis in improving the Quality of Nursing Documentation by 55% and less by 45%. application of NANDA, NIC, NOC diagnoses in improving the quality of nursing documentation is good and the need for regular training to maintain it.Conclusion: From the research concluded that the use of diagnosis can improve the quality of nursing documentation