Reviewerly/exHarmony huggingface dataset:
ACCEPTABILITY OF SHASP: SELF-HELP APP IN STATISTICS AND PROBABILITY

The main objective of this study was to develop a multi-device compatible, offline interactive digital Self-Learning Module called SHASP: Self-Help App in Statistics and Probability, which was designed to help the Grade 11 students to become independent learners. Specifically, it sought to answer the following questions: 1. What is the level of acceptability of SHASP: Self- Help App in Statistics and Probability in terms of the following pedagogical components namely learning content, assessment exercises, consistency, adaptability and appropriateness?; 2. What is the level of acceptability of SHASP: Self- Help App in Statistics and Probability in terms of the following technical components namely technical quality, ease of use and aesthetic value?The respondents of the study consisted of 30 select Mathematics teachers (15 from Lumban District and 15 from Kalayaan District) who evaluated the developed SHASP: Self-Help App in Statistics and Probability.The researcher gathered data and information on the lessons for the third quarter period in the said subject, giving close consideration on the DepEd-released self-learning modules, books, journals, video tutorials and other related articles and other forms of literature that can serve as supporting documents, give credibility to the boundaries of the lessons and immediate need for a workable solution.                Regarding SHASP: Self-Help App on Statistics and Probability, the researcher focused on the usage of computer-based instructional materials providing a detailed step-by-step word problem solving as well as practice problems for assessment and enrichment.                These are the results of this study. SHASP: Self-Help App in Statistics and Probability was given a remark of highly acceptable in all of its pedagogical components. The weighted mean are as follows: Learning Content (M = 4.55); Assessment Exercises (M= 4.58); Consistency (M= 4.49); Adaptability (M=4.56); Appropriateness (M= 4.48). It was also was given a remark of highly acceptable in all of its technical components. The weighted mean are as follows: Technical Quality(M = 4.50); Ease of Use (M= 4.51); Aesthetic Value (M= 4.61). Based on the data gathered and its findings, the researcher conclude that SHASP: Self-Help App In Statistics And Probability may be used as a learning material during the learners’ independent study. The researcher arrived at this conclusion as the teacher-evaluators agreed that there is sufficient learning content covered, adequate assessment exercises for mastery of each lesson, the lessons are consistent and related with each other, they are appropriate for the current grade level, may be used as an alternative learning material because it is adaptive, free from errors, easy to use and contains a visual design which helps maintain the learners interest.
Social Media Regulations Impact on Marketing and Commerce of Business Community in UAE

Social media regulation is the necessary factor for social media power and influence on marketing and attains the focus of regulators and researchers. Thus, the present research investigates the impact of industry self-regulation related to social media, government regulation related to social media and comprehensive regulations for public utility on the marketing and commerce of various business communities in UAE. This research also examines the mediating role of social media power among the links of industry self-regulation, government regulation, and comprehensive regulations for public utility, marketing, and commerce of various business communities in the UAE. This research has adopted the questionnaires to obtain the data from the respondents and also used the smart-PLS for analysis. The results indicated that industry self-regulation, government regulation, and comprehensive regulations for public utility have a positive association with the marketing and commerce of various business communities in the UAE. The results also indicated that social media power positively mediates among the links of industry self-regulation, government regulation, comprehensive regulations for public utility and marketing and commerce of various business communities in UAE. This research helps the regulators while developing the policies related to social media power, regulation and influence.
Extractive Text Summerization Pada Berita Berbahasa Indonesia Menggunakan Algoritma Support Vector Machine

According to the Program for International Student Assessment (PISA) for the 2018 survey of 61 countries that participated in PISA, the reading interest of the Indonesian people still received a low score of 358 out of an overall average score of 472. One of the consequences of low reading is the difficulty of understanding the content of reading, especially for long and many texts, so it will be easier to read the summary. With advances in text summarization technology can be done using text mining methods. text mining will retrieve information on big data from text-based documents, the summary process will take the main points of news or important sentences without changing the content of the reading or also called extraction techniques. To get maximum results, the weighting is done by extracting sentence features based on numerical data, quotations, sentence length, sentence position in paragraphs, and overall sentence position. The research methodology uses knowledge discovery in database (KDD) and modeling using support vector machine algorithms. Testing or evaluation using recall, precision and F-measure. The best research result is the scenario of comparison of test data and training data 7:3, using the Linear kernel, with accuracy 72,4%, precision 63,4%, recall 51,9%, and F-measure 57,1%.
Aplikasi Monitoring Tamu Pada Sistem Keamanan Perumahan Komplek Berbasis Android

There are so many cases that occur at home when the house is empty or being abandoned by its occupants, the impact of the theft is very detrimental to victims who have broken into their homes, these incidents often occur by damaging or breaking into the lock system on the doors and windows of the house. This theft causes unrest in the community because they feel less calm, safe, and comfortable when outside the home. In this study, an application was designed to make it easier to control the house with the use of IoT in creating an android-based information system that was applied to assist security guards in monitoring guests in real time. In this study, the information system used is facial recognition, where if there is a face that is not recognized or dangerous, the system will send a face image to the security guard android smartphone application.
Innovation Flows Through VR for Water Utility

Yorkshire Water commissioned a project with the AMRC to investigate the use of Virtual Reality (VR) during the design phase of their new ‘standard product’ catalogue. The project highlighted a number of design considerations which could be validated more easily, and rapidly through the exploitation of immersive VR, rather than the traditional approach of evaluating physical fluid handling prototypes which were very often scrapped. The use of VR not only produced significant cost savings for the company and consumers, it also enabled Yorkshire Water to reduce its carbon footprint as part of its mission to become a more sustainable utility through its Climate Change Strategy. The final phase of the project involved the successful implementation of a VR system which Yorkshire Water has incorporated into their product design lifecycle.
SSE Tech Support: Linux Terminal: gedit

This reference guide includes the essential information to navigate through the Linux terminal
국어교사의 비대면 쓰기 지도 실태 조사 연구

This study suggests effective ways to teach writing in the post COVID-19 era by analyzing the condition of non-face-to-face writing instruction in Korean class. For doing this, the study analyzed the results of a survey of 130 in-service Korean language teachers on the status, method, content of writing instruction and their perception on the writing instruction. The results are as follows. First, Korean language teachers mainly instructed writing by using face-to-face and non-face-to-face methods parallelly amid the COVID-19 pandemic. Second, in non-face-to-face situations, Korean language teachers mainly instructed writing by using videos in online classes. Third, Korean language teachers addressed “writing expressing friendship and emotions” the most in non-face-to-face writing instruction. Fourth, in non-face-to-face situations, Korean language teachers tended to perceive the reviewing process as the most difficult process and the content generating process as the easiest process to instruct in the writing process. Finally, Korean language teachers tended to perceive face-to-face writing instruction as the most effective method for writing instruction.
Incidencia del uso de aplicaciones móviles en el desempeño académico de estudiantes universitarios.

Through this article, we present the results of descriptive-correlational research to determine how the use of mobile devices has impacted the academic performance of the students of the Universidad Autonoma de Andes (UNIANDES), Santo Domingo campus. during school hours, in an environment where all students have these devices and most teachers do not know or do not yet apply strategies that allow them to regulate and take advantage of their potential as a didactic tool and restrict their use as a distracting element. Academic performance was considered as a qualitative aspect of the student and it is differentiated from the performance by giving it a quantitative character.
Design ideas and Empirical Analysis of Building Equipment Monitoring System Based on Cloud Computing Technology

In this paper, a complete monitoring platform based on distributed application system is designed for cloud computing environment, which is used to capture the resource utilization and load capacity of distributed application nodes. With the help of manual configuration strategy, cloud computing resources can be dynamically scheduled and the elastic computing ability of cloud computing environment can be fully utilized by application. It focuses on the creation of access credentials, storage services, MSSQL and Azure database services, cloud services and the access control of cloud platform. Finally, taking an actual building project as an example, the monitoring principle and function of the latest BAS after supplement and modification are implemented in the weak construction drawing to verify the effectiveness of the improved work.
《만물진원》의 간행과 17∼18세기 유교 지식인의 반응 ―제10편 창조설을 중심으로

This article compares and examines the responses of Chinese and Joseon Confucian intellectuals to the theory of Creation in Wanwu zhenyuan. Wanwu zhenyuan is an exclamation book written by Aleni, a Jesuit in China, that proves that the ‘true origin of all things’ is God and introduces the process of Creation. It has exerted considerable influence in China since its publication in Beijing in 1628.The doctrines of Wanwu zhenyuan caused animosity among local intellectuals. The reasons were many, but one of the main ones was the aggressive and exclusive attitude of the Jesuit missionaries toward the Confucian tradition and cultural authority. In particular, the notion of the Hell that even the ancient kings, the creators of Confucian civilization and bearers of truth, can not ascend to heaven seems to reinforce the resistance of Confucian intellectuals such as Huangzhen and Xudashou.In the 18th century, Joseon intellectuals who viewed Wanwu zhenyuan showed a different aspect from Chinese intellectuals in that they criticized it academically. After the Jinsan Incident in 1791, while the problem of Seohak became publicly debated at the national level and negative perceptions about it were strengthened, Nam Geukgwan and Hong Jeongha approached it carefully and dealt with it in the context of traditional knowledge. Their attitude can be said to be different from other anti-Seohak intellectuals who exclusively rejected Seohak before and after the Jinsan incident, and it can be said that they were far from the rigid atmosphere of the 19th century intellectual circle that completely denied Seohak and reproduced crude criticism.
KNOWLEDGE-BASED APPROACH TO ADAPTIVE SELECTION OF EQUIPMENT FOR TEACHING ROBOTICS

Innovations and progress in teaching, introduction of new academic disciplines in the curricula, changes in the paradigm of school education in Ukraine, the search for innovative tools, techniques and teaching methods, especially teaching STEAM create a good basis for teaching robotics. However, the organization of classes in robotics requires the creation of a special educational ecosystem, which important element is the technical base (equipment). It is not a secret, that administrative staff who sometimes even do not have required experience in technology are often engaged in the procurement of equipment and its selection. The current study was conducted to solve this problem, as well as to create a universal recommendation for creating an appropriate ecosystem for teaching robotics As part of the study, the task was to develop a prototype of an expert decision-making system for selecting of an appropriate equipment and zoning of a classroom (ICR) for conducting classes in robotics. Knowledge-oriented approach was used to create the prototype. Keywords: knowledge-based approach, robotics, adaptive selection, teaching robotics.
Arabic Handwriting Recognition with Wavelets

In this paper, we explore wavelet analysis for recognizing Arabic handwriting. Thus, two main studies are undertaken. First, we use some wavelets namely (db4, sym4 and coif1) and related techniques of feature extraction for the purpose of recognition of Arabic handwritten words’ images coming from the IFN/ENIT database. The multi-layer perceptron is used in the classification step. Further, after deciding on the parameters’ combination that worked the best, the latter is fed in an SVM classifier with optimized parameters using the K-Fold cross-validation technique. In this second study, a large number of wavelet families and members are tested. The results compete with the state-of-the-art ones.
The relevance of artificial intelligence for construction disputes

This chapter examines the relevance of artificial intelligence (AI) for construction disputes, focusing on LegalTec related to AI, machine learning, Distributed Ledger Technology (blockchain), Integrated Engineering or Construction ERP (Enterprise Resource Planning) systems and Building Information Modeling (BIM). Construction ERP and BIM use (virtual) central storage of all project data in databases that can be queried in real time and track all project related activities, which can also be more easily correlated by the operators. They create massive amounts of data in machine readable and standardized formats with potential for use in machine learning, AI and predictive technologies. If one considers the complexity, duration, the associated cost of most construction disputes and the often-voiced need in the construction industry for swifter resolution this kind of reduction of issues to be decided and the simplification concerning the establishment of facts seem to indicate that there should be a sufficiently great market for such functionalities that operate at the pre-legal dispute level.
Estimasi Kesalahan Pengukuran Berdasarkan CTT dan IRT Soal Tryout SBMPTN TPA Tahun 2018 di Kota Makassar

This research aims to estimate standard error of measurement with TCC and IRT approach and compare the most sensitive theory in estimating standard error of measurement about Tryout SBMPTN TPA Year 2018 in Makassar City. This research is descriptive - explorative research with quantitative approach. The subjects of this study were participants of SBMPTN tryout in 2018 in Makassar city as many as 455 examinee. Data source in this research is answer sheet of SBMPTN TPA trial tryout participants in Makassar City. The instrument used in this study, which is a matter of multiple choice of Academic Potential Test (TPA) consisting of 50 items. The result of standard error estimation based on CTT is SE.Meas = 2.95, SE.Est = 2.322 and SE.Pred = 3.743. While measurement error based on IRT is 0,349. IRT is more sensitive in estimating measurement error about Tryout SBMPTN TPA 2018 in Makassar city.
Modelling of the induced anisotropy in inelastic bodies

Processes of oriented plastic deformation and damage which induce an anisotropy of the inelastic properties are analysed in the paper. The model parameters are determined by performing a combination of one-dimensional experiments and by employing a microimitation approach (a combination between the experimental technique of speckle interferometry and FEM).
Toward real-time data processing: an advanced approach in big data analytics

Nowadays, a huge quantity of data are produced by means of multiple data sources. The existing tools and techniques are not capable of handling such voluminous data produced from a variety of sources. This continuous and varied generation of data requires advanced technologies for processing and storage, which seems to be a big challenge for data scientists. Some research studies are well defined in the area of streaming in big data. Streaming data are the real-time data or data in motion such as stock market data, sensor data, GPS data and twitter data. In stream processing, the data are not stored in databases instead it is processed and analyzed on the fly to get the value as soon as they are generated. There are a number of streaming frameworks proposed till date for big data applications that are used to pile up, evaluate and process the data that are generated and captured continuously. In this chapter, we provide an in-depth summary of various big data streaming approaches like Apache Storm, Apache Hive and Apache Samza. We also presented a comparative study regarding these streaming platforms.
Conventional Method and Narrative Approach in ELT Classroom: A Comparative Study

The study is an exploration in identifying the effectiveness of Conventional Method and Narrative Approach for learning English in English Language Teaching (ELT) classroom. This is an empirical data- based research with quantitative method that draws a conclusion which is capable of being verified through experiment by getting facts at first hand without regards for system and theory. This empirical study is considered to be the powerful support because of the evidence gathered through experiment that is useful in testing the hypothesis quantitatively. The research design is Two-Group, Pre-test – Post-test Design. In this experimental hypothesis testing research, a group which is disclosed to conventional method directly focusing on the syllabus of Technical English II is termed as ‘control group’ whereas, the group that is exposed to narration approach is termed as ‘experimental group’ not focusing directly on the syllabus of Technical English II. This study was accomplished among the randomly selected two sections of first year B. Tech. Engineering students of 2017-2018 batch during second semester at Dr. M.G.R. Educational and Research Institute. For quantitative studies the data management and analysis was performed through SPSS 20.0 version to statistically conclude the impact on the methods adopted. It has been statistically inferred that all the five factors of Narration Assessment Parameter (NAP) of the experimental group are highly significant due to the students’ participation in the narrative approach after listening; imitating and repeating the short stories and digital short stories they listened and watched.
Linking Transformational Leadership to OCB in Hospitality Industry: the Mediating Influence of Affective Commitment and Work Engagement

This paper aims to examine the process of forming the Organizational Citizenship Behavior (OCB) of employees in the hotel industry. This study also uses affective commitment and work engagement as mediating variables to clarify the mechanisms for the effect of transformational leadership on OCB. The design of this study is a quantitative study using a survey method through distributing questionnaires to frontline employees in the hospitality industry. 250 questionnaires distributed there were 218 that can be used. By testing using the Structural Equation Model - Partial Least Square (SEM-PLS) method with SMART PLS 3, it was found that transformational leadership has no direct effect on OCB like most other Asian studies. Affective commitment and work engagement show partial mediating effects in the relationship between transformational leadership and OCB in the workplace. This study found that transformational leadership can influence OCB through the mediating effects of affective commitment and job involvement. These results are expected to enrich the psychological mechanisms that can explain the effect of transformational leadership on OCB. Future research is expected to be able to explain a more comprehensive flow of transformational leadership, affective commitment, work engagement, and OCB.
학위 논문 감사의 글 장르분석 연구 -중국인과 한국인의 텍스트 비교를 중심으로-

The purpose of this study is to identify the differences between the two groups through genre analysis on the articles of dissertation acknowledgements that appeared in the thesis of Chinese and Koreans. To this end, research was conducted on master’s and doctoral thesis altogether 80 related to Korean language education. Specifically, the composition patterns of the two groups’ dissertation acknowledgements were examined, and the ‘moves’ measures and ‘steps’ composition of each text were analyzed. Besides, we looked at the differences in the rhetorical structure. According to the analysis results, there was no significant difference overall in the text composition patterns of the two groups, and similar results were also shown in the appearance of move nodes and steps. However, at the level of the steps, there was a significant difference in the frequency of ‘reflecting’ and ‘providing resources and helping technical support’ as the Chinese’s international student status was reflected. Also, at the step of ‘Blessing’, both groups were able to confirm the common cultural perception of the Eastern world by composing texts with forward-looking speech actions, and it is also known that Koreans list in detail the objects to express their appreciation compared to Chinese. This study is meaningful in that it examines differences in writing between Chinese and Koreans, targeting the writings of dissertation acknowledgements that have not been well handled so far.
Implementation of bm3d mri denoising equipped with noise invalidation technique using fpga.

— Magnetic Resonance Images (MRI) widely used for diagnosis and the treatment of brain tumours. It is the most powerful imaging technique developed to study the structural features of the internal body parts. MR images are affected by artefacts and noise that is adequately modelled as Rician noise. Image denoising plays an important role in MRI. In this paper BM3D algorithm is implemented with Noise Invalidation Denoising (NIDe) technique on FPGA. Noise Invalidation Denoising (NIDe) technique gives the optimum threshold value automatically based on the data and noise characteristics over hard thresholding. Variance Stabilization Transform (VST) applied before denoising which removes the dependency of the noise variance on the MRI image intensities. Experiments perform on metrics such as peak signal to noise ratio (PSNR) and structural similarity index (SSIM). FPGA implementation clearly shows the advantages over its Matlab implementation. This algorithm is coded in VHDL and can be simulated using ModelSim.