Reviewerly/exHarmony huggingface dataset:
ISS: Intelligent Security System Using Facial Recognition.

Security is mandatory and of utmost importance for all organizations. While the legitimate people should be allowed inside enterprises, the illegal ones should be barred from entering and this can be achieved using face recognition techniques. In this work, we have come up with a robust architecture using artificial intelligence and Internet of things that can be used across different enterprises. We have also derived the methodology and solution for implementing a more advanced security system. For proper demonstration, we have also considered one of the business use cases along with proposed processing work flow.
Website Design and Implementation of Xunyang Lion’s Head Orange

With the rapid development of Internet technology, the development and maturity of e-commerce platforms has been promoted, and online shopping has become a trend. Its fast, convenient, and simple operation has an important impact on daily life and makes people’s choices on product consumption. It is also becoming more personalized and diverse. The development of e-commerce has provided a broad market for the marketing and promotion of agricultural products, provided convenient sales channels, reduced transaction links and losses, improved product circulation, and met user shopping needs. The market awareness of Xunyang Shitou is not high. I hope that through the form of a website, I will use the advantages of Internet promotion to break through the geographical restrictions, improve the popularity, and efficiently and quickly send it to each consumer. Demand has developed rapidly, driving local economic development.
Privacy-Preserving AI in Healthcare

Recent advances in Artificial Intelligence promise a brighter future for many industries. Particularly, in healthcare, AI is now playing a central role to complement understanding of the current problems while paving the way for new discoveries. However, as AI is fueled by data, serious concerns are rising to keep the balance between expanding AI and preserving the privacy of the data it utilizes, which, in the case of healthcare, often contains personal and sensitive information. In this chapter, we shed some light on how to preserve the privacy of data in healthcare while still harnessing and optimizing AI. We discuss several technical solutions that enable AI to advance while preserving the privacy of the underlying data. We also discuss privacy from a legal point of view and show how traditional legislation may fail to provide adequate protection to health data, then discuss more recent legislations with promising approach to achieving adequate data privacy.
INCAPACIDADE TEMPORÁRIA: A CARACTERIZAÇÃO DA COVID-19 COMO DOENÇA OCUPACIONAL

The present study aims to analyze the framework of SARS-CoV-2 - a pandemic caused by COVID-19 in Brazil - characterizing it as an occupational disease, and the possibility of the patient apply for the temporary disability benefit from the Instituto Nacional do Seguro Social - INSS . In this sense, the study traverse, preliminarily, the concept of temporary disability, presenting the requirements provided for in the specific legislation, so the laborer can apply for the benefit with the social security agency. Afterwards, the risk caused by COVID-19 to the Brazilian worker versus the need for work for survival will be analyzed. Consequently, the pandemic that has plagued Brazil is addressed, as well as discussing the possible characterization of such as an occupational disease, in a way that allows the worker to be infected by the virus to apply for the temporary disability benefit before the autarchy, being granted to the insured. To this end, it will be used as a deductive research method, in a bibliographic way, based on the Brazilian legal system and on researchers who address the theme. Finally, it is believed that there is a need to grant the temporary disability benefit to workers who apply for it because they have been infected with the COVID-19 virus, since it can be considered an occupational disease, having been acquired in the work environment. , the result of their livelihood, with no other alternative left for the worker other than facing the risk of contagion of the virus to carry out their work.
Optimasi Klasifikasi Batubara Berdasarkan Jenis Kalori dengan menggunakan Genetic Modified K-Nearest Neighbor (GMK-NN)

The K-Nearest Neighbor (K-NN) method is one of the oldest and most popular Nearest Neighbor-based methods. The researchers developed several methods to improve the performance of the K-NN algorithm by using the Genetic Modified K-Nearest Neighbor (GMK-NN) algorithm. This method combines the genetic algorithm and the K-NN algorithm in determining the optimal K value used in the classification prediction. The GMK-NN algorithm will greatly facilitate the examination of coal classification in the laboratory without having to do a lot of chemical and physics testing that takes a long time only with the data already available. In this research, K value optimization is done to predict the classification of coal based on calories owned by PT Jasa Mutu Mineral Indonesia in 2017. Based on the research, using the proportion of training and testing data 90:10, 80:20 and 70:30 obtained the value of K the most optimal is at K = 1. The highest prediction accuracy was obtained by using 90:10 proportion data which is 100%, then with the proportion of 80:20 data obtained prediction accuracy of 91.67% and with the proportion of 70:30 data obtained prediction accuracy of 94.44%.
Langenscheidt's German-English English-German Dictionary and the Graphical law

We study Langenscheidt's German-English English-German Dictionary. We draw the natural logarithm of the number of the German language entries, normalised, starting with a letter vs the natural logarithm of the rank of the letter, normalised. We find that the words underlie a magnetisation curve of a Spin-Glass in the presence of little external magnetic field. Moreover, we compare the German language with two Romance languages, the Basque and the Romanian, respectively, with respect to Spin-Glass magnetisation.
Growing an architecture for a neural network

We propose a new kind of automatic architecture search algorithm. The algorithm alternates pruning connections and adding neurons, and it is not restricted to layered architectures only. Here architecture is an arbitrary oriented graph with some weights (along with some biases and an activation function), so there may be no layered structure in such a network. The algorithm minimizes the complexity of staying within a given error. We demonstrate our algorithm on the brightness prediction problem of the next point through the previous points on an image. Our second test problem is the approximation of the bivariate function defining the brightness of a black and white image. Our optimized networks significantly outperform the standard solution for neural network architectures in both cases.
Henryk Mikołaj Górecki’s Chamber Music Works in the Context of the Transformations of the Composer’s Style: Selected Examples

The aim of this paper is to analyse stylistic changes in Henryk Mikołaj Górecki’s output on the example of four selected chamber music works: Quartettino, Op. 5, Concerto for Five Instruments and String Quartet, Op. 11, Little Music 4, Op. 28 and Aria (‘operatic scene’), Op. 59. By applying the methods of structural and auditory analysis as well as style criticism, I discuss the diversity of composition techniques found in these compositions. Additionally, my methodology has allowed me to represent the idiomatic, idiosyncratic features of Górecki’s style and study the ways in which Górecki approached chamber music.
ОСОБЕННОСТИ ПРИМЕНЕНИЯ ЦИФРОВЫХ ТЕХНОЛОГИЙ В ВЫСШЕЙ ШКОЛЕ: НА ПРИМЕРЕ КАЗАХСТАНА И РОССИИ

The article considers the features of digital technologies application and types of information training tools in the form of flowcharts. When using digital technologies as a necessary complement to traditional education in higher education, educational sites must be used, so examples of these sites are provided. In the course of studying this topic, the author focuses on the use of modern media resources that allow you to save time. It also provides full information about distance and online training, which has been actively implemented in recent years. In addition, there are examples of training in public and private universities in the country, the process of which is impossible without the latest technologies. It’s also said about online education, the global trend to get a certain course without leaving home has often started to be practiced in our country
콜센터 여성상담원의 감정노동과 직무스트레스가 직무만족도에 미치는 영향

Purpose : This research was to recognize how emotional labor and job stress affect female call center agents in modern society where communication and information are becoming more important. Methods : The subjects in this research included all female call center agents from a company in Gyeong-Gi-Do. Among 1,459 employees who participated in this survey, only 931 responses were focused, excluding male employees and positions other than call agents. This survey-based study was conducted frequency analysis, t-test, ANOVA, correlation analysis, multiple regression anaysis by the SPSS 18.0 statistical program. Results : Relevant to emotional labor and job satisfaction, the frequency of emotional labor, careful enough about the emotional expression, and emotional dissonance of emotional labor showed a significant negative correlation. In addition, the results indicated a significant negative correlation toward any emotional labor. Thus, the higher emotional job point led to the lower job satisfaction rate. As a result, higher job stress point creates lower job satisfaction. Conclusion : In conclusion, reducing labor and job stress appraisal work programs is required to promote efficiency and effectiveness from in the work place even at the national level, emotional labor and jobs should come up with ways to manage stress.
Ex-RSFO: Exponential Rider-based Sun Flower Optimization enabled Deep Convolution Neural Network for Image Classification

The collection of large set images is easily obtainable from web pages from huge video datasets. The progression of automatic approaches for handling large amount of images is the most significant one in daily life. However, retrieving and indexing the data is a major challenge in web pages. In addition, automatic organization and indexing of images is also a most important problem. In this paper, Exponential Rider Sun Flower Optimization (exp RSFO)-based Deep Convolution Neural Network (Deep CNN) is developed for image classification. Here, a weighted shape size pattern spectra is employed for extracting the significant features and analysing the patterns. The weighted shape size pattern spectra is considered by adapting weight shape decomposition and gray scale decomposition. Furthermore, Fuzzy Local Information C-Means Clustering (FLICM) technique is applied for clustering process. Besides, Deep Convolution Neural Network (Deep CNN) is utilized for image classification, and the classifier is trained by developed exp RSFO technique. The proposed exp RSFO algorithm is devised by incorporating Rider-based Sun Flower Optimization (RSFO) method and Exponential Weighted Moving Average (EWMA) scheme, whereas RSFO model is the combination of Rider Optimization Algorithm (ROA) and Sun Flower Optimization (SFO) technique. Conversely, the test image is acquired and it is subjected to weighted shape size spectra for feature extraction in testing phase. Here, matching is performed by centroid to identify cluster information, and new cluster vector is generated. Along with this, the performance of the developed approach is evaluated using three metrics, like accuracy, specificity and sensitivity. Hence, the developed technique achieved better accuracy, sensitivity and specificity of 96.21%, 95.22% and 96.20% for  image size.
Transition to Blended Delivery: A Case Study of a Mobile Programming Course

This action research explores the transformation of a mobile programming course from a face-to-face delivery, to blended learning, and then online learning due to the COVID-19 pandemic. It uses the Conversational Framework by Laurillard (2013) as its theoretical foundation to investigate how teachers can design and test an optimally effective learning experience. The learning design for mobile programming illustrates an approach that attempts to embrace the best of conventional and digital methods. The use of the online learning activity management system, as a means of capturing and sharing pedagogic approaches, helps identify whether the range of learning activities appropriately covers all learning styles.The study describes strategies, using the flipped classroom model, to overcome the four key challenges of blended learning: incorporating flexibility, stimulating interaction, facilitating students' learning processes, and fostering an affective learning climate. The study also explores, through the lecturers’ perspective, the issues of transitioning to a blended delivery and highlights considerations to increase students’ motivation and reduce the effect of “zoom fatigue”.Results demonstrate that moving to a blended delivery increases the workload for lecturers in the short, medium and long term but has the added benefit of increasing student active/passive learning ratio.
Dreamlike Environments: “Story-living” in Virtual Reality Installations

This article examines the narrative identity of a new emerging medium, the virtual reality installation. In order to do so, the representation of dream states often presented in virtual art will be considered as a metareflexive model to be analysed in order to comprehend the distinctive characteristics of this experience. From this point of view, the study distinguishes virtual from physical art installations, the experience of which has been compared by Claire Bishop to the process of de-codification of dreams, focusing on the concept of incorporation. Accordingly, this incorporated experience of immersive images will be considered in relation to contemporary dream theory, formulated in the fields of neuroscience and philosophy of mind. At the same time, a second focus will be devoted to the use of the dream metaphor in new media art dealing with media archaeology and in particular in the interactive artwork Beyond (1997). In conclusion, the analysis of two contemporary virtual reality installations metariflexively dealing with dream experience, Somnai (2018) and The Key (2019) will lead to the individuation of a common experiential model: storyliving instead of storytelling.
Pengembangan Lembar Kerja Mahasiswa Berbasis Konflik Kognitif untuk Pembelajaran Daring Fluida Statis

Online learning (E-Learning) has become an alternative learning in the form of experiment, but its application still has shortcomings such as the occurrence of misconceptions even at the college student level, so more effective learning guidelines are needed. The research in this article was made to develop cognitive conflict-based Student Worksheets on static fluid material for online learning for physics education students and to find out the assessment of the developed Student Worksheets. This study uses a research and development approach with analysis, design and development steps. The results of the Student Worksheet assessment were obtained using a validation questionnaire aimed at validators in the physics education program of Sebelas Maret University. Assessment aspects of Student Worksheets consist of appearance, content and language. The results of the validation show that the appearance gets a score of 17.67, the content gets a score of 74.3 and the language gets a score of 18.33. Based on the explanation above, it can be concluded that the Student Worksheet for static fluid material for Physics Education students gets a score of 110.33 so that it has very good criteria and can be used in online lectures.
FINANCIAL INNOVATION AND MONEY DEMAND IN TURKEY: EMPIRICAL EVIDENCE

This study investigates the impact of financial innovations on the money demand in Turkey by means of using the autoregressive distributed lagged (ARDL) bounds testing model as proposed by Pesaran et al. (2001) and Toda-Yamamoto from the period 1986-2019. The conclusions of our estimates have revealed that the real production, inflation and nominal interest rates are the variables that determine the money demand and which shows that the financial innovations do influence the money demand in Turkey in the short term and in the long term. The results obtained indicate that the ARDL bound testing approach confirm the existence of a long-term and short-term association between the financial innovations and the money demand. According to empirical analysis, the financial innovations positively affected the money demand in the long-term as well as in short-term..
Skills Framework for the Information Age (SFIA) untuk Penentuan Capaian Pembelajaran Lulusan Program Studi Teknologi Informasi

A skills framework provides a common terminology and model for skills or competencies in a specific sector in order to facilitate skills management by the users of the framework e.g. individuals and organisations. Typical use case for skills frameworks by organisations is assessing current skill proficiencies and planning future skill upgrades. A skills framework can be regarded as a type of standard, whether formal or ad-hoc, and thereby, in principle, it affords some of the usual advantages of standards such as reduced costs, greater efficiency and portability due to the same framework being used across organisations. In Education, skills framework provides quality of learning outcome through align curriculum to industry/employer needs and to improving graduate employability. SFIA is the world’s most widely adopted skills and competency framework. It is used by employers and profesional bodies across the world. Educations and training providers, especially ICT study program, can adopt SFIA to defining graduate learning outcomes, curricula, and to support the marketing and promotion of their products and services.
The Correlation Between Extensive Reading, Critical Reading, and Self-Esteem in Students’ Reading Abilities

This study examined the relathionship between extensive reading activity (ERA) and critical reading (CR), and self esteem. To do so, many classes from second grade of science class and social class in senior high school Lamongan, They were given test of extensive reading and critical reading and questionnaire of self-worth. To attain the desires of the research, this research uses the design of correlative ponder the discoveries of the study indicated that there was highest significant relationship between extensive reading and critical reading ablity, and between in-depth reading and self esteem, and the reserch was found with highest significant among critical studying capacity and self esteem. The collected data were analyzed using a statistical regression analysis using the Pearson product moment coefficient of correlation. The discussion of the result of analysis in this scientific work, this research has three conclusions, there are ERA and CR at either the 0.05 level. And between ERA and Self Esteem (SE) at either the 0.05 level or the 0.01 stage (2-tailed). And CRA and SE at either the 0.05 level or the 0.01 level (2-tailed) too. Therefore the teacher will predict what must be developed and the way to try to do it.
PROFESSIONAL TRAINING OF FUTURE TEACHERS OF NATURAL SCIENCES

It was established that the professional training of future teachers of natural sciences should be focused on providing an integrated model of education and based on the formation of students a set of general and special (professional) competencies and personal qualities, which are necessary for successful professional activity. Accordingly, the main content components of professional training of future teachers of natural sciences are knowledge of subjects (physics, chemistry, biology, etc.) and their interdisciplinary interaction, understanding of teaching methods, ability to use this knowledge in educational activities and willingness to apply knowledge, skills and abilities in professional activities. The training teacher of natural sciences should be focused on teaching an integrated course «Natural Sciences», which is studied in high school in which natural subjects are not specialized, although his qualifications are a teacher of natural sciences, physics, chemistry, biology, in this specialist has broader qualifications and, accordingly, the range of competencies. Therefore, in addition to the formed competencies in each subject, we expect that in the process of training teachers of natural sciences is also important to integrate the curriculum of mandatory disciplines, which will ensure the formation of a holistic system of knowledge and skills. Analytical review of the programs of the course «Natural Sciences» for high school in terms of their content allowed us to state that they were aimed at the formation of natural sciences competence of the individual, but each provides it differently. While some clearly show the presence of separate semantic blocks of different subjects, in others we see an attempt to make the program more integrated basis on objects of study: matter, field, energy and technology, we anticipate human habitation in the environment and man-made society. We convinced that this approach will be further develops, because it corresponds to the idea of integrativity, embedded in the idea of the emergence of this subject in high school. The introduction of an integrated course «Natural Sciences» in high school forces to move away from the disparate formation of natural knowledge in individual subjects and strengthens the integrative nature of the content of natural subjects. Accordingly, the professional training of future teachers of natural sciences should be improve in the direction of integrating the knowledge, skills and abilities of students in the process of studying the relevant professional disciplines. It was recommended to introduce integrated disciplines in the process of training future teachers of natural sciences, which will ensure their quality professional training.
Silicon photonic MEMS phase shifter with μs time constant built on a foundry platform

MEMS enable low power tuners in silicon photonics, but existing phase shifters lack in range, speed, and loss. We implement a 2 π phase shifter with a 1.54 μs time constant and 0.5 dB insertion loss in IMEC’s iSiPP50G platform.
Blueprint : Centipede Shoe Rack / Muhammad Hafiz Azizan ...[et al.]

In the era of technological advancement, most of the people nowadays are tempting to cope with all changes of technology from time to time. Nowadays, based on the survey stated that 73% of the car user in Kola Bharu store shoes in the car. The problem may face by the car user is the shoes is disperse away and bad odor in the car also is present. Centipede Shoe Rack have the solution to overcome this problem such as the product is small in size and easy to compress and stretch. The product also contains mini air humidifier to reduce the bad odor that produce from the shoes. The extra features of the product is have the extra space to store the socks. Based on the survey of concept testing shows that 93.33% of the respondents say that the product is good and majority of the respondent assume that Centipede Shoe Rack is interesting product. The features of the product is attractive, easy to use and keep, protective and odorless based on the concept testing that had been conducted to the respondents. Overall, Centipede Shoe Rack is an efficient product that extension from the standard shoe rack and suitable to use especially for the white collar, lecturer and university students.