Reviewerly/exHarmony huggingface dataset:
An Analysis of Politeness in Teacher's Utterances in an English Classroom

The objectives of this research were three-fold: to explore the types of politeness uttered by the teacher, to analyze the most predominant type of politeness uttered, and to explore the strategies of politeness uttered by the teacher in an English classroom. This research employed a descriptive qualitative analysis. The subject of this research was an English teacher of MAN 1 Kolaka. This research was conducted with two cohorts; they were class XII.IA-2 and class XII.IA-4. The data were collected from three observations and recordings of teacher’s utterances. As many as 117 politeness utterances were identified, encompassing 55 positive politeness utterances, 45 negative politeness utterances, 6 bald on record utterances and 1 off record utterance. There were 17 strategies of politeness used by the English teacher. The most predominant type of politeness was positive politeness, including the strategies of exaggerating sympathy with the Hearer, which was used 3 times, including both the Speaker and the Hearer 6 times, giving gifts to Hearer 26 times, being optimistic 10 times, offering 2 times, notice attend to Hearer 4 times, using group identity mark 3 times, and Intensifying interest to the hearer 1 time.Keywords:Pragmatics, Politeness Strategies, Teacher’s Utterances, English Classroom
Classification of architectural designs using Deep Learning

Architecture style of buildings play’s an important role in various aspects. Architectural style or the construction method affects the human health in multiple ways. Many dynasties are ruled India and constructed various types of monuments. So, In this proposed work popular dynasties like Hoysala dynasty, Vijayanagar empire, Mughal empire, Nizam’s of Hyderabad, Chalukya dynasty etc. are considered for creating dataset for the work. The architects of those times had really good knowledge about the different scientific methods to be used for construction. This project aims at classification of different architectural styles. Automatic identification of different architectural styles would facilitate different applications. The dataset is manually created by downloading images from various websites. Deep learning, inception v3 master algorithm are used. Experiments are performed using tenser flow and bottle neck files are created for validation. Good recognition rate is achieved with a fewer data set.
Effect of Visualized Reading Content on Students’ Reading Motivation

The study was intended to explore the effect of visualized reading content on students’ reading motivation. This study was an experimental study. The present study was an experimental study with pretest-posttest design. This study was conducted in one junior high school in Singaraja and 32 students were involved. The result of analysis found that students reading motivation was better after the implementation of visualized reading content. Thus, it can be said that there is a significant mean difference between students in reading motivation before and after the implementation of visualized reading contents. Teachers are encouraged to implement visualized reading content in order to enhance students’ reading motivation.
An Effective Design of Model for Information Security Requirement Assessment

Information security is a major domain of analysis for enhancing the security of sensitive detained business organizations.These days, attackers are advancing themselves by applying highly advanced technological solutions such as artificially intelligent malicious codes, advanced phishing methods and many others to acquire sensitive and critical data from businesses.This paper presents a novel model framework to analyze the requirements of information security for a more robust information system and its assets in organizations.The framework of this model is designed in such a fashion that both new and legacy organizations can adopt it to define the requirement of security that will ensure confidentiality, integrity and availability of information systems and their componentsincluding sensitive domain business and private data that is critical to the organization.There are two different model frameworks which are proposed here.The first one provides specifications of the security requirements and the second provides for the audit of the access logs to capture any unethical practices and violations by internal users.The proposed model for security requirements provides the roadmap to analyze and build proper security requirements to secure business sensitive data.Stepwise processes which are needed to analyze and define security requirements are the key factors of this security model, as they help in clear definitions of security frameworks and infrastructure for an organization.The Audit Model provides the framework for defining information auditing requirements, thus enabling the capture of unethical and unauthorized access to the information system components of the organization.
Evaluation of the Impact of Innovation Management on Customer Satisfaction and the Innovative Behavior of Employees: Field Study in Commercial Banks in the State of Kuwait

Purpose: This research paper aimed at identifying the impact of innovation management on customer satisfaction and the behavior of innovative employees in commercial banks in Kuwait.Design/Methodology/Approach: Based on the descriptive-analytical approach, the study used the questionnaire on a sample represented by ( 5) banks in Kuwait (28%).After collecting the study data, the Statistical Analysis Program (SPSS) and PLS were used, several results were reached.Findings: There is a moderate degree of innovation management practice in commercial banks in the State of Kuwait, there are an impact and correlation between innovation management and the innovative climate from one hand and the innovative climate and customer satisfaction, on the other hand.It also showed the impact and correlation between the innovative climate and innovative behavior in the study population.Furthermore, there are an impact and correlation between network theory, innovation management, innovative climate, customer satisfaction, and the behavior of innovative workers.Practical Implication: The study recommended attention to managing innovation and the innovative climate and strengthening network theory in commercial banks.It also recommended stimulating the work of the Training and Development Department in commercial banks in the State of Kuwait.Originality/Value: The value of the study comes to find solutions to weaknesses, if any, and to strengths by not losing any sight of management phenomena and variables that contribute to the development of innovation management in commercial banks.
Nonlinear Nonlocal Algorithm for Video Filtering

Video sequences are frequently contaminated by noise throughout the acquisition process, resulting in considerable degradation of video display quality.In this paper, we present a novel method of video fi ltering.The proposed fi lter is developed from an optimization problem in which a Bayesian term and a noisy video sequence prior distribution are combined.The method begins by segmenting the video sequence into space-time blocks and then substituting each noisy block by a weighted average of non-local neighbor blocks.Gradient-based weights are used to dynamically adjust the edge preservation and smoothness of the reference block.The obtained formulation enables nonlinear fi ltering and, hence, preserving key features such as edges and corners while using the intrinsic Bayesian fi ltering framework.Experiments on diff erent video sequences with varying degrees of noise show that the proposed method performs better than state-of-the-art video fi ltering approaches.
Effects of Environmental Conditions on Photovoltaic Generation System Performance with Polycrystalline Panels

Photovoltaic solar energy is the third most widely used renewable source worldwide, after hydroelectric and wind energy, and this energy source requires experimental and theoretical development in specific topics such as the effect of environmental conditions on energy performance.Thus, this study's main objective was to determine the influence that meteorological conditions have on the performance of solar photovoltaic systems, based on measurements from a measurement station installed in the city of Barranquilla-Colombia, to determine the factors that significantly affect the system's energy efficiency deviation.The experimental results show a dependence of the solar panel energy performance on some weather conditions, which is an uncontrolled phenomenon such as the ambient temperature and the atmosphere's humidity.Also, solar panel temperature and irradiance were the parameters with greater importance in the systems power generation.Also, the panel temperature must be controlled to obtain the desired response, because the panel temperature is inversely proportional to the voltage and directly proportional to the current.However, the negative effect of increased panel temperature in sunny climates is compensated by increased solar hours, so the summer system has less instantaneous efficiency, but it has higher solar output throughout the day.Therefore, solar energy production study should be related to total daily production.
Analisis Kinerja Skema MPEG Surround Pada Pengkodean Audio 22 Kanal Menggunakan Bitrate 1000 - 2000 Kbps

MPEG surround is one of the most popular multichannel audio coding standards used today. In producing quality sound, there are several parts that are influential, but those that are directly related to sound reproduction, one of which is the method of downmixing, mixing the right channels will improve the quality of the sound produced. Because this research is closely related to data computing, the Matrix Laboratory (MATLAB) application is used. There are 2 stages carried out in the MATLAB application, namely the encoding and decoding process. In the encoding process in MATLAB, each audio channel is set according to a previously designed scheme. The results of this encoding are then decoded, so that the ODG value of each tested audio channel is obtained. In his presentation, the design and analysis of several domnmixing schemes was carried out. There are 5 schemes tested and to determine the performance of each scheme, these schemes are tested at high bitrates, from the range of 1000 Kbps to 2000 Kbps. Based on the test, it was found that the effect of increasing the bitrate is directly proportional to the resulting audio quality. During testing Scheme-5 has a better level of stability among all downmixing schemes and the average percentage increase in Objective Difference Grade (ODG) for all audio samples is 9.6927 %.
Stronger quantum advantages with photons

<i>Advanced Photonics</i>, co-published by SPIE and Chinese Laser Press, is a highly selective, Gold Open Access, international journal publishing innovative research in all areas of optics and photonics, including fundamental and applied research.
Challenges in translating Indonesian reduplication into English

The articles reflects how reduplication matters in the process of transferring meaning from the source language into the closest equivalent meaning in the target language. Indonesian reduplications are varied in their types and meaning that cover reduplications of verbs, nouns and adjectives and each has its own function such to indicate plurality in reduplicated noun, to indicate repeated action, to convey intensity, to emphasise or to form other meaning from the root. This study aims at investigating the types of Indonesian reduplication and the types of translation procedures applied in retaining the meaning of Indonesian reduplication into English as the target language. Descriptive translation study is applied as it provides a method for the description of language use in translation in the form of parallel corpora. The results show that the types of Indonesian reduplication are: full reduplication, partial reduplication and reduplication (stem and affix), and the translation procedures found are couplet, equivalent, modulation, and synonymy. This study gives the implication that in translating Indonesian reduplication into English; the translator should fully comprehend the meaning of the reduplicated word in the source language before defining its equivalent in the target language in order not to distort the meaning being expressed in the source language when it is transferred into the target language
A lighting control system of art museum based on image recognition and STM32

Intelligent lighting control system plays a vital role in the lighting regulation of art gallery. It is necessary to design an automatic control system of light regulation. This paper proposes a la...
VOCABULARY BOOK FOR DEAF STUDENTS

This study was a research and development (RD) study designed which involved: need analysis, design, development, implementation, and evaluation. The data were gathered through observation, questionnaires, interview, validation technique and test.The result of this study showed that: (1) the students need specific material about daily activity; (2) the design of book, learning English vocabulary which contain picture; (3)the deaf students’ wants Learning English use media images because image make it easier for them to remember English vocabulary, and they are able to describe facial expressions and gestures; (4) when learn English vocabulary they must remember each word by practicing it.
Pre-service Teachers' Perceptions on the Use of Mobile Applications for language Learning

Learning language nowadays can be done by many ways including using mobile technology or mobile phone and its applications. Learning uses mobile applications not only can be done by using app-based language learning, but also using general application. This descriptive case study was used to investigate and find out about pre-service teachers’ levels and perceptions on the use of mobile applications for language learning. The data from six pre-service teachers were collected by using semi-structured interviews and questionnaire. The result showed that all of pre-service teachers have different levels of using mobile applications for language learning based on their purposes, challenges and experiences. In addition, most of pre-service teachers have positive perceptions on the use of mobile application for their language learning regarding on aim-mobile technologies fit, appropriate of branch, and forms of m-learning application and tools’ sufficient adequacy of communication, the findings revealed that (1) mobile applications remove the limitation of time and space; (2) mobile applications are reliable for personal use; and (3) course materials could be sent to students via mobile applications. In conclusion, the use of mobile applications for language learning are helpful for pre-service teachers.
TECHNOLOGY AND PSYCHOLOGY: THE APPLICATION OF VR TECHNOLOGY

The development of technologies and their use in various fields of life and for different purposes have recently increased because of mandatory restrictive measures implemented by worldwide governments (to limit the spread of Covid-19). In this editorial are presented some notions about artificial reality and virtually created environments. It is discussed the opportunity to experience authentic emotions through virtual scenarios where people immerse themselves for teaching, training skills, or even when the real environment cannot be reproduced and only a simulated environment can help to enrich the experience and overcome some fears. It is shown that personal experience in a simulated reality, not only as an observer but also as a protagonist, stimulates and helps to acquire specific practical skills, and develop behavioral models leading to better learning and psychotherapeutic outcomes.
Cloud Computing Strategy and Impact in Banking/Financial Services

With recent advances in technology, internet has drastically changed the computing world from the concept of parallel computing to distributed computing to grid computing and now to cloud computing. The evolution of cloud computing over the past few years is potentially one of the major advances in the history of computing. Unfortunately, many banks are still hesitant to adopt cloud technology. New technologies such as cloud and AI will have the biggest impacts on the banking industry. For banks and credit unions wanting to achieve greater business agility, cloud technology enables organizations to respond instantly to changing market conditions, leveraging data and applied analytics to achieve customer experience and operational productivity benefits. As a result, cloud computing comes in to provide a solution to such challenges making banking a reliable and trustworthy service. This paper aims at cloud computing strategy, impact in banking and financial institutions and discusses the significant reliance of cloud computing.
An Analysis of Students’ Ability in the Use of Simple Past Tense by Implementing Mistake Buster Technique

This study is aimed at examining (1) the effectiveness of applying the Mistake Buster technique in improving the Senior High School students' English ability to use the Simple Past Tense; (2) to identify the process of English teaching and learning in applying the Mistake Buster technique to improve the English ability of 20 students in a Senior High School to use the Simple Past Tense.This research was an experimental research with the quantitative method.The Mistake Buster technique was the independent variable (x) and the students' English ability in the use of Simple Past Tense was the dependent variable (y).Moreover, the techniques of data collection were the test, questionnaire, and observation.The tests were given twice for the Pre-test and Post-test.The questionnaire was given after the post-test, and observation was conducted while giving the treatment to the class.The results showed that the Mistake Buster technique can improve the students' English ability in the use of Simple Past Tense.It was proven by the improvement of students' mean scores that the score for pre-test was 48 improved to 82 at post-test score.The low score of students pre-test caused by lack of knowledge towards the use of positive, negative, and interrogative Simple Past Tense for both nominal and verbal sentence.Moreover, the hypothesis testing by the use of Paired Sample Test which revealed that the T-test was 9.292 which was showing the Ha was accepted.Based on the significance score (2 tailed), which was 0.000 proved Ha was accepted.Moreover, the application of the Mistake Buster technique in the learning process is considered to have a positive effect on increasing the ability to understand the Simple Past Tense.Based on the results of observations and questionnaires that 85% of students considered the Mistake Buster technique in good and very good categories.
Development and implementation of interactive 3D video environment on run-time reconfigurable FPGA platform

Video data processing tasks are traditionally performed either through software-based systems when various algorithms must be applied to the data and when time issue is not critical, DSPs -- when certain time constraints are set but when the set of tasks is limited, or ASICs -- when the highest performance is required, the set of tasks is fixed and highly optimized, the data stream doesn't change, and the number of data streams is limited. For a real-time system which must operate on multiple data streams which also can change in time and on which various data processing algorithms must be applied neither of the mentioned approaches can be used. Timing requirements and power limitation does not allow utilization of sequential CPU. ASIC becomes too big to accomodate multiple processing circuits for each algorithm and associated modes. Only Run-Time Reconfigurable (RTR) FPGA approach allows implementation of such a system. The thesis presents a real-time stereo vision system with elements of synthesis of interactive 3-D virtual objects designed and implemented on the FPGA-based reconfigurable platform. FPGA chip integrates a hybrid architecture system with multi-mode and mutli-stream processing ability for critical time tasks and with embedded microprocessor(s) for computing complex algorithms for 3-D objects synthesis for which timing requirements are not so strict. An approach for the formal presentation and processing of the 3-D virtual objects and their transformation is also analyzed and presented in this paper. Architecture synthesis and optimization for a hybrid system are also considered. The experimental results proved the effectiveness of proposed approach: the FPGA-based system-on-chip provides stereo visualization in different modes (actual image and edge detection image), with synthesized 3-D controls (pressed and released buttons).
Kohonen Network-Based Adaptation of Non Sequential Data for Use in Convolutional Neural Networks

Convolutional neural networks have become one of the most powerful computing tools of artificial intelligence in recent years. They are especially suitable for the analysis of images and other data that have an inherent sequence structure, such as time series data. In the case of data in the form of vectors of features, the order of which does not matter, the use of convolutional neural networks is not justified. This paper presents a new method of representing non-sequential data as images that can be analyzed by a convolutional network. The well-known Kohonen network was used for this purpose. After training on non-sequential data, each example is represented by so-called U-image that can be used as input to a convolutional layer. A hybrid approach was also presented, where the neural network uses two types of input signals, both U-image representation and the original features. The results of the proposed method on traditional machine learning databases as well as on a difficult classification problem originating from the analysis of measurement data from experiments in particle physics are presented.
Establishing Evaluation Criteria for Digital Dental Simulation Systems and the Differences between Software and Evaluators

Purpose: Cavity and tooth preparation are essential curriculum components in dental education for undergraduate students, and faculty staff determine whether the standard of the work is acceptable. However, evaluators are inevitably subject to variability and bias, so quantification of the evaluation is desirable. Therefore, various digital devices have been developed to quantify evaluations, such as SURFLACER, Simodont, and DentSim. In this study, we aimed to investigate the use of evaluation software and to compare human evaluation with software evaluation using a new digital dental education device with a realtime evaluation function. Material and Method: Dental students prepared a full metal crown on an artificial mandibular left first molar, which was evaluated by the software and a human evaluator (a dentist). Results: The results showed that the software evaluation was more suitable with eight cross-sections than with four crosssections. The dentist evaluated the same teeth according to a set of evaluation criteria, but there were no statistically significant differences in any of the evaluation items. Finally, multivariate analysis was conducted to assess the relationship between the software evaluation using eight cross-sections and the human evaluator using dummy variables, and it revealed that the margin form evaluation by the dentist was a significant explanatory variable for the score by the software. Conclusion: This preliminary study is the first to demonstrate that the new digital dental education device has considerable potential as a digital educational tool.