Reviewerly/exHarmony huggingface dataset:
경영시스템 도입 중소기업의 품질이행율 향상을 위한 품질기록 관리운영의 표준화 사례연구

Purpose: In an infinite market competition, companies are adopting management systems to gain a competitive advantage. The expectancy effect of the management system is management performance improvement and accurate measurements. These can be made through quality records with integrity and maintainability. This paper examines the operation of records management standards, which are records, storage and management standards for quality records to understand the needs of records management standards and empathize with their needs.Methods: This paper examines PEC’s (Pields Engineering Co., Ltd.) specific processes and standards for integrating individual management systems and establishing records management standards. We also look at the specific features of the Search Tool and Document Storage Management Standards that support records management standards.Results: The integration process of PEC''s individual management system consists of five steps. A PDCA-based process was established to erode the confusion and inefficiencies caused by overlap between individual management systems. Also, by accurately grasping corporate competence, PEC established a record management standard suitable for the characteristics of the company. PEC''s records management standards are used as a useful standard for organizing quality records, and have an impact on management performance improvement.Conclusion: PEC''s records management standards enable the verification of quality performance rates and performance measures. Companies can implement appropriate quality improvement strategies based on the numbers identified by introducing records management standards. Companies can succeed in improving management performance when operating quality management that combines performance measurement techniques and records management standards.
The Effect of Delayed Visual Feedback on the Full Body Illusion Using VR

The full body illusion (FBI) is an illusion of the self-ownership and self-agency towards an avatar that moves synchronously with one’s own body movement. Here we investigated the FBI using an avatar that moves with a short delay from the participant’s movement. Participants made their steps on the spot while watching a VR scene as if the avatar walked in a street either synchronously (100-ms delay) or asynchronously (400- or 700-ms delay) with their steps. The avatar was presented in either 1st-person or 3rd-person perspective. The result showed that the participants felt the sense of ownership only toward the avatar that moved synchronously in the 1st-person perspectives. Our results suggest that our body image can be projected on the avatar that is presented in the 1st-person perspective and moves synchronously with one’s own body.
Separating the Expressive Power of Propositional Dynamic and Modal Fixpoint Logics

We investigate the expressive power of the two main kinds of program logics for complex, nonregular program properties found in the literature: those extending propositional dynamic logic (PDL), and those extending the modal µ-calculus.This is inspired by the recent discovery of a decidable program logic called Visibly Pushdown Fixpoint Logic with Chop which extends both the modal µ-calculus and PDL over visibly pushdown languages, which, so far, constituted the ends of two pillars of decidable program logics.Here we show that this logic is not only more expressive than either of its two fragments, but in fact even more expressive than their union.Hence, the decidability border amongst program logics has been properly pushed up.We complete the picture by providing results separating all the PDL-based and modal fixpoint logics with regular, visibly pushdown and arbitrary context-free constructions.
Basics of Virtual Reality Modeling

This chapter introduces virtual reality (VR) modeling concepts. VR applications are successfully applied as a learning tool in different fields. After presenting a historic perspective of VR applications, the benefits of VR modeling, computing requirements, as well as their limitations are provided in this chapter. Essential VR development tools such as Unity 3D and unreal engine are discussed with 3D modeling. These platforms provide multiple sets of tools and minimize coding. They facilitate the user with enhanced capabilities such as rendering effects and interactive features. The steps followed in VR application development are presented subsequently.
Trends of Rainfall and Temperature in Bangladesh: A Comparative Analysis of CMIP5 Results and Meteorological Station Data

The Coupled Model Inter-comparison Project phase 5 (CMIP5) dataset along with rainfall and temperature data, recorded at 34 stations of Bangladesh Meteorological Department (BMD), is analyzed to examine the recent changes in rainfall and temperature over Bangladesh during the period 1981-2019. In the historical period, all three CMIP5 models (MPI-ESM-LR, MPI-ESM-MR and NorESM1-M) underestimated the observed mean rainfall data collected from BMD, whereas for temperature the result is found to be nearly similar between model and observation. The result shows a trend of increasing mean maximum temperature of Bangladesh at a rate of 0.19°C and 0.26°C per decade and increasing mean minimum temperature at a rate of 0.18°C and 0.15°C per decade, for model and observation respectively. The study found a decreasing trend of annual rainfall in Bangladesh observed at a rate of 41.60 mm and 39.77 mm per decade, respectively, for model and observation. Spatial distribution shows an increase in annual rainfall in the northeastern part of Bangladesh. The Dhaka University Journal of Earth and Environmental Sciences, Vol. 9(2), 2020, P 9-18
The Influence of Cooperative Integrated Reading and Composition Model on Completing Abilities of Story Questions

This study is motivated by the low ability of students in solving story problems at MTsN 4 Aceh Utara. Based on initial observations, students have not been able to understand the story questions, namely determining what is known and asked, students have not been able to determine the formula or method used, and students have not been able to determine the final answer to the story questions, therefore this study aims to determine the effect of Cooperative Integrated Reading and Composition learning model on the ability to solve story problems in class VIII MTsN 4 Aceh Utara. This study uses a quantitative approach with a quasi-experimental research design and a posttest-only design with nonequivalent groups. The population of this study was all students of class VIII MTsN 4 North Aceh. The sample in this study was class VIII C as the control class and class VIII D as the experimental class which was obtained by purposive sampling technique. The data collection technique used in this study is a test in the form of a posttest. Data analysis was carried out to test the ability to solve story problems using the t-test because the data were normally distributed and homogeneous, the data was processed using SPSS 18 software. The normality test used the Shapiro Wilk technique, the homogeneity test used the Levene test, and the hypothesis test according to the test criteria was if significant &lt;0.05, then H0 is rejected and Ha is accepted, whereas if the significant value is 0.05, then H0 is accepted and Ha is rejected. From the statistical significant results, Equal Variances assumed is 0.00 less than 0.05. Thus, the conclusion of this study is that there is an effect of the Cooperative Integrated Reading and Composition learning model on the ability to complete stories in class VIII MTsN 4 Aceh Utara.
Examining the Effectiveness of Folktale in Enhancing Students' Listening Comprehension on Narrative Story

Listening does not receive special attention in teaching and learning processes of English at the Eleventh Grade of MAN 8 Jakarta. This is caused by English teacher's misconception that speaking and writing should be put in the first priority because they are considered as productive skills. Meanwhile, listening is classified into respective skill. In teacher's view, productive skills is often valued batter than receptive skill. Consequently, some students do not have good listening comprehension. In principal, this study was conducted to examine the effectiveness of folktale in enhancing students' listening comprehension on narrative story. Moreover, due to this study utilized experimental method, so two classes were involved. They were XI IPA 1 acted as experimental group and XI IPA II acted as control group. In addition, to obtain valid data, sixty students from both groups were selected randomly to join pre-test and post-test with similar listening test items. The findings of this study showed that the mean score of post-test for experimental group was 80.8 and 68.53 for control group with the degree of freedom (df) was 58. However, the value of t0 (t-count) was 5.96 and the value of tt (t-table) on degree of significance of 5% was 1.67. Having obtained the data, the researcher compared t0 to tt and the result showed that t0 &gt; tt =5.96 &gt; 1.67. It indicates that that H1 or alternative hypothesis was accepted. In other words, This study pointed out that there was significant effect of folktale in enhancing students' listening comprehension on narrative story.
Ontology Based Method for Sentiment Examination

In recent years, sentiment analysis became an important concept which is used to extract an important feature or text mining according to our interest. It is very difficult to judge the polarity or the review of particular product. This problem is solved by ontology. Ontology is a formal and shared specification of a particular domain. It is a large semantic network used to extract a domain specific concept or domain specific features of a particular product. Ontology contains concept which means domain and sets of objects or we can say instance of concept and relationship between various objects. Ontology based approach is classification of opinion and feature-based approach. Ontology gives domain specific features along with the hieratical relationship between them. Ontology generates semantic graphs and tree for showing relationship between different domains and entities. The relationship can be done on the basis of nodes and edges connections. We use some contextual lexicons which are used to provide the opinion about particular domain like SentiWordNet, SenticNet, WordNet etc. This survey aims to provide an insight on Opinion target, Opinion lexical and Aspect based Polarity detection, sentiment aggregation.
Minimum Search-time Algorithm for Image Retrieval in Cloud Computing

Finding approximate nearest neighbour (ANN) is essential in huge database for efficient similarity search to return the nearest neighbour of a given query.Many hashing algorithms have been designed to improve retrieval accuracy and storage requirements of data in a large-scale database through long code word which increases the time complexity in loading data into memory, but do not consider the search time which is an important parameter in the field of information retrieval and pattern recognition.To address the aforementioned problem, this research therefore proposes an improved search time algorithm for improving the retrieval time of data from a database in cloud computing environment by optimising both the search accuracy and search time simultaneously.We improved the minimum search time by the use of balance partitioning algorithm for the even distribution of data points into hash buckets to minimise search time, and similarity preserving algorithm for search accuracy were designed for fast and accurate retrieval of data in a database.An extensive experiment conducted on a cloud simulator and the result obtained when the code length is 8, 96 bits, the retrieval time for the proposed system is 0.030sec, 0.260sec, and that of Density Sensitive Hashing is 0.040, 0.400sec.Therefore, the retrieval difference is 0.010sec and 0.140sec.Also, the result obtained for the rest of the code lengths of 16, 32 and 64 show that the improved minimum search time algorithm outperforms the compared techniques in terms of the velocity of big data retrieval.
Dematerializing Digital Objects: Denial, Decay, Detritus and Other Matters of Fact

We know little about the materials that constitute the digital devices we use every day, from where those materials are derived, or where they will go when we discard them. Through a variety of means, digital devices are “dematerialized.” That is, a digital object’s material components are denied and concealed by complex cultural and economic practices that support a myth of immaterial and ubiquitous computing without material consequences. Since the early days of digital computing, designers have striven to design devices that are smaller, better, denser, and faster. These traits are framed as ideals against which new products are measured and they have encouraged a desire for ubiquitous, imperceptible integration of digital computing at all levels of modern life. This dissertation argues that the digital object is dematerialized and that this pervasive reduction of the physical object and our very awareness of the physicality of digital materials inhibits our ability to support awareness of the material limits and often detrimental impacts of digital devices. However, the material nature of the digital object may be more apparent after an object is rendered obsolete. Drawing from media archaeology, thing theory, and material culture studies, this dissertation examines a few “afterlives” of digital objects because it is only after its useful life that the object’s materiality takes on transformative powers. For example, when discarded, its physical properties become problematic and may be framed as an environmental issue. Or, when treated as a material artifact in a museum the digital object resists historicity, and when saved as a memento it may take on unexpected nostalgic power. I argue that it is precisely the dematerialized aspects of the informatic media that have created the situation of ‘e-waste’ and it is through a new consciousness of their materiality that we might think about how these technologies evolve and occupy space in the future.
Critical Analysis of Governance, Economic Freedom, and Human Capital Implications on Sustainable Economic Growth: Evidence from Sub-Saharan Africa

In the recent time, the attention of scholars have shifted towards deeper understanding of factors that drives the achievement of sustainable economic growth, but yet factors such as governance, economic freedom, and human capital have not been exhaustively investigated, especially within the context of Sub-Saharan Africa (SSA). Thus, this study investigates the implications of governance, economic freedom, and human capital on the sustainability of economic growth in the SSA, usingpanel data that spanned between 1996 and 2018, and employed a Pooled Mean Group (PMG) estimator for the analysis. This study found governance, economic, and human capital to have a positive and significant causal relationship with economic growth in the long-run, while only economic freedom was found to have a negative and significant causal relationship with economic growth in the short-run. In addition, this study found that in case of disequilibrium, the model has a convergent speed of adjustment of about 10.8%. The study implications were discussed in the study.
Collaborative Filtering Method of Web Service Recommendation Based on Location Aware and Personalized

With the rapid growth of the number of Web services, it is necessary to build an efficient web service recommendation system in the face of massive web services. In order to recommend high-quality services to users, the key problem is how to obtain the s value of Web services. This paper proposes a collaborative web service recommendation method based on location clustering. Firstly, users are clustered according to the autonomous system by using the correlation between QoS and user location. According to the clustering results, the system fills in the vacancy Qos value; Then, the vacancy Qos value is filled in in advance and the similarity between active users and each user is calculated. Based on this, to P-K algorithm is used to obtain the most similar Qos value to predict the unknown service for active users to complete the recommendation. The method proposed in this paper can effectively solve the problem of data sparsity and cold start of Web services. At the same time, a better balance between accuracy and coverage is obtained.
Peningkatan Keterampilan Bahasa Inggris untuk Hiburan melalui Modul Pembelajaran Teks Narrative Berbentuk Fabel

The need for interactive and meaningful distance learning in English lessons is needed to improve students English skills including language skills and formative test-taking skills. This is done by the author through the use of interesting modules or for entertainment for students by utilizing narrative text material in the form of fables. The research method used is descriptive research on 32 students of class XI IPA 2 as a sample of research conducted at SMA Muhammadiyah 1 Taman. The results obtained in the form of observations of the achievement of English language skills including pronunciation, grammar, vocabulary, fluency, understanding are included in the intermediate or intermediate category with an average score of 2, 05. In addition, the students' English skills were also seen from the learning outcomes test data where the percentage of success of students who scored above the KKM (75) was 87.5%, namely 28 students while those who scored below the KKM were 4 students. The conclusion of this study is the achievement of students' English skills after using the narrative text learning module in the form of fables is included in the medium or intermediate category/level 2+ and the percentage of success of formative tests above the KKM is 87.5%.
SISTEM PENGOLAHAN NILAI UNTUK KURIKULUM PAUD BERBASIS DESKTOP DENGAN MODEL WATERFALL

The data processing of Al-Amin's Play Group student scores is still done manually, namely by handwriting on student assessment booksheets, this takes a long time and is not effective. The development of the number of students that increases from year to year requires accuracy in providing assessments without any mistakes and repetition of the same data. The purpose of this research is to design and make student assessment applications with object-oriented programming in the Al-Amin Play Group. Using the Waterfall model System Development Life Cycle (SDLC) method, the design based on the Unified Modeling Language (UML) and the Java Netbeans 8.2 programming language MySQL database. The research data includes student data, student attendance every semester from 2018 to 2019. The final result of the research is an object-oriented student assessment system that can be accessed through a laptop, personal computer (PC) device which is expected to help the foundation to facilitate data collection and processing of value data students and can see the progress of students in each semester at the Al-Amin Play Group in Kedewan Village. The system test results were declared feasible in terms of functionality, amounting to 97.9% in black box testing.
Typosquatting Potential on the Official Website (An Empirical Study of Popular Webites in Indonesia)

At the time of typing the website address (URL), the users often make mistakes (typos) that are unable to visit the desired website.The situation becomes worse when the wrong URL pointing to other websites that do not wish to be visited by the user and may be made available for the aim of cyber-crime.This condition is called Typosquatting.Typosquatting is often used to carry out dangerous cyber-attacks.Research conducted will focus on the potential Typosquatting popular website domain in Indonesia based on Similar web and Alexa rankings.The purpose of this research is to determine the potential for Typosquatting attacks on the popular website domain.Potential observation for Typosquatting was carried out using the Domain Security Test owned by Immuniweb.The result obtained from observation is the number of active domains contained in Typosquatting potential domain has a percentage of 90 % and 26 % potential domain of Typosquatting visited by the users.The most identified Typosquatting model is substitution and addition, meanwhile the most widely used of the website purpose is Hit Stealing and Parking Domain / For Sale.The letters on the left and right of the type target letter have the potential to be more often cause typo if it is compared to the letters which are above and below the type target letter.
Generation of Regular Expressions for Large Clinical Dataset using NLP and Machine Learning Techniques

Machine learning supervised classification plays major role in large text classification.In health care data it contributes since couple of years for generating the privacy and security.Such kind of electric records might take large data on storage devices, so it needs to optimize with some processing techniques.The Natural Language Processing (NLP) features to represent text as a vector appropriate for use in machine learning algorithms.To describe text as just a vector suitable for use in machine learning algorithms, text classification techniques frequently rely on dictionary counters including bag-of-words as well NLP techniques.As an alternative feature set, editable search queries are proposed in this work.The suggested model utilizes the Smith Waterman (SW) optimization created by Pair -wise alignment to create a set of pattern matching characteristics based on labeled textual information or to train a later part classifier.The Naive Bayes (NB) supervised learning algorithm has used for classification.While a correlation of the special groups and traditional text characteristics shows that a classification algorithm does not make better decisions utilizing generated features, the produced factors can catch patterns that cannot be identified with collective expertise.As a result, it is significantly boost a classifier that combines conventional methods for generated characteristics.In the experimental analysis we evaluate the proposed system results with various existing systems that our system demonstrates effective results than traditional approaches.
Spontaneous and Stimulated Three Photon Generation

We study spontaneous and stimulated three photon generation rates in resonant and non-resonant structures. In the stimulated regime, we find that current technology allows for the generation of 10 5 photons per second in both structures.
SOCIO-SPIRITUAL IMAGE OF THE MODERN TEACHER OF PRIMARY CLASSES: REQUIREMENTS FOR IT, PROBLEMS AND WAYS TO OVERCOME THEM

The article examines the problems that may arise in the process of introducing graduates of higher educational institutions to pedagogical activity. The causes of these problems were also analyzed and recommendations for their elimination were developed.
Data Mining: An Effective Tool in Cognitive Psychological Emotion Analysis

Data Mining is an aggregate of various techniques and methods to extract out information from a large database in simple, understandable and usable form.A variety of data mining techniques has been applied successfully in the health care system and is attracting the attention of scientist and researchers throughout the world.The present research study describes various cognitive psychological theories of emotions and applications of different data mining methods.The study also emphasizes the data mining methods significant in the cognitive psychological emotion analysis.