Reviewerly/exHarmony huggingface dataset:
COMMERCIAL AND RESEARCH CLUSTERING OF AUGMENTED REALITY: DISCOURSES AND DIVIDES BETWEEN AR APPS AND APPLICATIONS

Although the majority of Augmented Reality (AR) scholarship is based in Computer Science disciplines, it is nevertheless important to consider emergent trends in AR discourses as research and development shifts from technology labs to media markets. While technical understandings of AR are necessary, they are insufficient to understand how networked spatial computing is augmenting everyday life. In response, this paper maps and compares two specific AR discourses for nodes of power and authority. First, it systematically reviews how AR research citations are shifting from science and technical foci to applied uses of AR via a systematic scientometric review. That work allows, among other insights, consideration of the extent disciplinary boundaries shaped how AR is understood and innovated. Second is contrasting these evolving patterns with current consumer exposure to AR via a critical technocultural discourse analysis (CTDA) of the presentation of phone-based AR apps available on the iOS App Store and Google Play. Comparative discussion of these inquiries adds to understandings of how AR is conceptualised in research and commercial discourses, and how these data might inform future research and practice in the socialisation of AR systems, media, and experience.
AXIOLOGICAL ASPECTS OF THE ORGANIZATION OF THE HUMANISTIC ENVIRONMENTS IN THE CONTEXT OF PEDAGOGICAL EDUCATION

The emphasis is on the axiological aspect of the importance of methodology as a scientific ways of organizing a humanistic environment. Particular attention is paid to understanding the humanization of education as educational services that reflect the needs of the individual and society. It is argued that the rational integration of universal values is a condition for achieving the goals set for education. Special attention is paid the possibilities of integrating educational work and practice of universal values in the process of forming value orientations for future teachers. The concepts of “value”, “axiology”, “humanism” and their leading role in the formation of the personality of the subject of the educational process. The article reveals the essence of the axiological approach in vocational training teachers, its levels are considered: theoretical and methodological and moral and spiritual. It is proved that from the perspective of these levels, the axiological approach canconsidered as a principle of organization of the humanistic environment and a way of building the content of teacher education. Setting out axiological aspects in organizations of the humanistic environment and development of consciousness of future teachers in the context of teacher education.
The Impact of HRM Practices on Organizational Financial Performance of Banking Sector of Pakistan

This research comprehensively assessed the relation between framework of human resource management (HRM) practices and organizational financial performance. The results based on a sample of banks of Pakistan demonstrate that these practices have a monetarily and measurably huge effect on financial performance of organization in short and long term. Information was gathered through a questionnaire survey and tested on random sample of 120 bank employees in Pakistan. The effect of HR practices on financial performance of association is to a limited extent dependent upon their interrelationships. The mediating model is applied where the perceived organizational support is the mediating factor among the independent variables HR practices and dependent variable the financial performance of firm. The investigation demonstrates the relationship on the information gathered by the surveys using Statistical techniques, i.e. correlation and regression. The study concluded that all tested variables have a positive relation and impact on financial performance of banks. Towards the end, the research challenges are presented to mainstream researchers and future patterns are also enlisted.
학문 목적 한국어 말하기 수업에서의 음성합성기술(TTS) 활용 사례 연구 -‘발표하기’ 과제를 중심으로-

The purpose of this study is to apply the TTS(Text-to-Speech) program to the field of Korean language education and to improve presentation skills by leading input/output activities. In this study, learners’ perceptions were examined through a survey after using listening material produced by the TTS program in intermediate Korean speaking classes for foreign students. The Korean speaking class focused on presentation. In the class, the presentation written by the learner was produced as a listening material using the TTS program and distributed to the students. It also induced input/output tasks by presenting students with tasks to record after listening to the listening material and practicing presentation. At the end of the semester, the final composition written by the students was produced as listening material and distributed to provide a model for pronunciation practice. As a result, it was confirmed that the use of TTS program in academic speaking classes provided sufficient input/output opportunities for students to learn Korean speaking and listening. However, it was confirmed that the task of improving the performance of TTS programs remained to produce listening material close to natural languages. (Yonsei University)
Research on interactive works that show respect and reflection on electronic products - Focused on the Work &lt;ELECTICK&gt;

An interactive installation artwork <ELECTICK> was created using certain material and videos to observe its interactive experience and reveal the relationship between realistic reflection in interactive installation art and the “electronic disease” of modern people, while investigating and reflecting on the human literature. The importance of reflecting reality and humanistic investigation were proved in this field by comparing it with the interactive installation artworks of other artists. The theoretical results of the experiment showed that the reflection of reality in interactive installation artworks can arouse people
Intellectual Property and Privacy Law

Abstract This chapter explores the intersections between intellectual property (IP) and privacy law. It notes that while the scope of what we may consider to be ‘intellectual property’ continues to expand to cover new creative and innovative practices, so too the meaning and scope of what we may consider to be ‘privacy’—traditionally understood as allowing the individual to enjoy a private sphere free from the public gaze—has come under pressure to expand to address new situations where loss of control over personal information and incursions on personal identity are seen to undermine human dignity and liberty. Thus ‘privacy’ and ‘intellectual property’ become ever more imbricated in our modern digital world, and we can expect to see ever more interchange between the laws that regulate these domains.
URGENSI PRESERVASI INFORMASI DALAM KONTEKS ARSIP KELUARGA

Various types of records must have a valuable system for managing and maintaining records. Generally management records activity are managed by records institution in the scale institution, regional, and national. There is one types of records that also needed better management process, that is family records. Family records is one type of arhives that is belong to personal archives or records, every person in the scope of that family must be responsible for taking care their records, this is also known as preserving family records. Preserving family records can be done in a simplest way, such as storing records document in a records shelf or storage box, paying attention in room condition for storing records, and also classified records by their types, its use, and year. The aim of preserving family records are to maintain the information inside that records, preventing records from destructive elements from human error and disaster. And importantly, making information or records retrieval process easier whenever needed in the future.
Il controllo bibliografico nell’era digitale: identificatori, metadati, punti d’accesso e rispetto del contesto culturale e linguistico

The paper takes up and develops the inaugural speech held the author at the International Conference Bibliographic Control in the Digital Ecosystem (Florence, 8th-12th February 2021). The idea of universal bibliographic (UBC) control has been present for centuries in the history of cataloguing and is based on the humanistic ideal of sharing recorded knowledge produced anywhere in the world. In the contemporary era, IFLA has played a central role in universal bibliographic control, stimulating national bibliographic agencies and other institutions to promote standards and collaborations that go beyond the national sphere, leading to multicenter and even more cooperative bibliographic control. The tradition of cataloguing also grows and is enriched by the dialogue with different communities and users’ groups. The free reuse of data can take place in contexts very different from the original ones, multiplying for all the opportunities for universal access and the production of new knowledge: the UBC, therefore, must now look at interoperability and flexibility in the dialogue with the various communities of stakeholders and with the cultural institutions.
A Survey on Data Security in Cloud Computing Using Blockchain: Challenges, Existing-State-Of-The-Art Methods, And Future Directions

Cloud computing is one of the ruling storage solutions. However, the cloud computing centralized storage method is not stable. Blockchain, on the other hand, is a decentralized cloud storage system that ensures data security. Cloud environments are vulnerable to several attacks which compromise the basic confidentiality, integrity, availability, and security of the network. This research focus on decentralized, safe data storage, high data availability, and effective use of storage resources. To properly respond to the situation of the blockchain method, we have conducted a comprehensive survey of the most recent and promising blockchain state-of-the-art methods, the P2P network for data dissemination, hash functions for data authentication, and IPFS (InterPlanetary File System) protocol for data integrity. Furthermore, we have discussed a detailed comparison of consensus algorithms of Blockchain concerning security. Also, we have discussed the future of blockchain and cloud computing. The major focus of this study is to secure the data in Cloud computing using blockchain and ease for researchers for further research work.
Digital technologies in support of students, teachers and parents

The use of digital teaching-learning methods and technologies in the didactic activity contributes to the improvement of the quality of the instructive-educational process, having an active-participatory character and a real active-formative value on the student's personality. In the socio-cultural tradition, ICT is defined as a means of mediation for knowledge, and from a dialogical perspective, it is seen as a means of opening, deepening and broadening the aspirations of dialogue. We must not forget that learning does not only involve the accumulation of knowledge, but growth, enrichment, evolution. Some rules can be stated for the successful integration of ICT in teaching. First of all, we must be sure that we have control over the material, both in terms of content and format, even if you are supported by an ICT specialist. Then it is necessary to have a plan on paper, separate from the material on digital media, the purpose and form of the presentation should not be very clear. Above all, the focus must be on the student and his learning needs. The biggest danger in any teaching-learning project that includes ICT and to be more focused on technology / creativity, not on the student-receiver and his learning needs.
An IOT based Patient Health Monitoring System

This paper highlights the design and implementation of an IoT-based patient health monitoring system for medical services. The proposed model enables users to improve health related risks and reduce the cost of collecting and analyzing live and big data efficiently. The idea came into mind because in daily life we need to check our blood pressure, heart beat rate, temperature, etc. and for this reason we have to go every time in the doctor’s chamber for check up. Nowadays To reduce this problem in busy life, the idea of this model came; it will reduce the time of patients and doctors and provides much better accurate results than manual check-up. Through this, we can also effectively monitor the patient’s health condition and assumes what type of diseases he/she possesses now or can be affected in future, so the patient has a chance to know their diseases bit early and take necessary health precaution measures. It also provides solution to remote medical support, drug delivery and management. If the patient is too much ill or aged and there is no chance for him/her to come to the doctor then he/she will able to get emergency treatment through this. At least we can say, that in the 21st century where increased population is a main problem in all over the world, there is a need to change and do something new in the field of healthcare where it can play a big role.
Deep Quantile Regression for Uncertainty Estimation in Unsupervised and Supervised Lesion Detection

Despite impressive state-of-the-art performance on a wide variety of machine learning tasks in multiple applications, deep learning methods can produce over-confident predictions, particularly with limited training data. Therefore, quantifying uncertainty is particularly important in critical applications such as lesion detection and clinical diagnosis, where a realistic assessment of uncertainty is essential in determining surgical margins, disease status and appropriate treatment. In this work, we propose a novel approach that uses quantile regression for quantifying aleatoric uncertainty in both supervised and unsupervised lesion detection problems. The resulting confidence intervals can be used for lesion detection and segmentation. In the unsupervised setting, we combine quantile regression with the Variational AutoEncoder (VAE). The VAE is trained on lesion-free data, so when presented with an image with a lesion, it tends to reconstruct a lesion-free version of the image. To detect the lesion, we then compare the input (lesion) and output (lesion-free) images. Here we address the problem of quantifying uncertainty in the images that are reconstructed by the VAE as the basis for principled outlier or lesion detection. The VAE models the output as a conditionally independent Gaussian characterized by its mean and variance. Unfortunately, joint optimization of both mean and variance in the VAE leads to the well-known problem of shrinkage or underestimation of variance. Here we describe an alternative Quantile-Regression VAE (QR-VAE) that avoids this variance shrinkage problem by directly estimating conditional quantiles for the input image. Using the estimated quantiles, we compute the conditional mean and variance for the input image from which we then detect outliers by thresholding at a false-discovery-rate corrected p-value. In the supervised setting, we develop binary quantile regression (BQR) for the supervised lesion segmentation task. We show how BQR can be used to capture uncertainty in lesion boundaries in a manner that characterizes expert disagreement.
Short Overview on the Main Issues of Speaker Recognition

As a special language expression, phonetics not only contains semantic information, but also conveys rich other information such as speaker's language, gender, age, emotion, pathology, physiology and psychology. With the development of society, speaker recognition has become an important part of biometrics recognition. In this paper, the basic principles of speaker recognition, feature extraction and common models are introduced, and the difficulties and hot spots in the study are discussed.
Artificial Intelligence and the 4th Industrial Revolution

Artificial Intelligence lies at the core of the 4th Industrial Revolution. The convergence of ever-increasing computing power, machine learning and big data analytics has reshaped the world around us. Today’s computers are knowledge machines that have cognitively evolved brains and use 10–15 layers of neural networks. Today we do not instruct the machines to do something but instead have trained them to learn themselves and solve the problems. Advances in cognitive and neural sciences have led to deep learning and machine learning and are changing the way knowledge economy works. There is a sweeping shift in the immersive automation and mechanization driven by artificial intelligence into goods and services, manufacturing, transport, utilities and changing human dynamics. Technology has moved beyond analytical to predictive to prescriptive applications with the advances in artificial intelligence. Machine learning has enabled long leaps in fields as diverse as economics, finance, marketing, operations, image processing to medical diagnosis. Software personal assistants, robotics, context-aware processing, image processing and facial recognition are conspicuously recognized applications of artificial intelligence. Machine learning as a service features software environment for building machine learning algorithms covering the fields of marketing, risk analysis, stock trading, fraud detection and predictive analysis to name but a few. While AI and ML are changing the game, they also pose threats of governance over data privacy, net ethics and cybersecurity issues and underscore the need for broader cyber laws and policymaking in the future. The transformative impact of artificial intelligence, machine learning and embedded technology will shape the new economy and market space. How will the economies, markets, ecosystems and organizations react and respond in this ever-expanding yet the interconnected world remains to be seen.
Automatic ER and PR scoring in Immunohistochemistry H-DAB Breast Cancer images

Breast Cancer (BC) is the most frequently diagnosed cancer for women. This way, the Brazilian Uniﬁed Health System (SUS) focuses on studying the disease and improving all the steps involved in dealing with BC. The presence or absence of the Estrogen Receptor (ER) and the Progesterone Receptor (PR), which deﬁne invasive subtypes, is detected through Immunohistochemistry (IHC). One way to assist the manual assessment of pathologists and histopathologists is to develop automatic scoring systems. Fortunately, digital pathology is increasingly achieving higher agreement with the pathologist. Therefore we create an automatic scoring system composed of image preprocessing, feature extracting, and classiﬁcation achieves a 69% f-score rate.
ASPECTOS IMAGENOLÓGICOS DO SARS-COV-2 NA TOMOGRAFIA COMPUTADORIZADA DE TÓRAX

Introducao: O surto de coronavirus (COVID-19) comecou em 2019, sendo relatado pela primeira em Wuhan, Provinvia de Hubei, China, se espalhando rapidamente por todo o mundo, sendo considerado pela Organizacao Mundial da Saude (OMS) um caso de emergencia global de saude publica. Objetivo: Este trabalho teve como objetivo analisar quais sao os principais metodos diagnosticos utilizados para o diagnostico e acompanhamento de COVID-19, e avaliar o papel da tomografia computadorizada de torax no combate a COVID-19 e suas principais caracteristicas imagenologicas. Metodologia: Ao desenvolver este trabalho foram utilizados como base de pesquisa artigos cientificos nacionais e internacionais encontrados na internet, em sites especializados como o Google Academico, Scielo, Lilacs, PubMed, utilizando as Palavras-chave: Tomografia Computadorizada. COVID19. SARS-CoV-2. Conclusao: A tomografia computadorizada (TC) do torax se tornou um grande aliado no diagnostico e acompanhamento de pacientes com COVID-19 devido a sua alta sensibilidade e simplicidade na realizacao do exame, outro fator que contribuiu para a preferencia na utilizacao da TC do torax e a baixa sensibilidade dos testes em geral e a grande quantidade de pacientes com testes falso negativos de RTPCR. Para que a TC de torax seja um aliado valioso no combate a COVID-19 e necessario que tenha pleno conhecimento das caracteristicas apresentadas no exame. IMAGING ASPECTS OF SARS-COV-2 ON CHEST COMPUTED TOMOGRAPHY Introduction: The coronavirus outbreak (COVID-19) began in 2019, being reported for the first time in Wuhan, Hubei Province, China, spreading rapidly throughout the world, being considered by the World Health Organization (WHO) an emergency case global public health system. Objective: This study aimed to analyze what are the main diagnostic methods used for the diagnosis and monitoring of COVID19, and to evaluate the role of chest computed tomography in combating COVID-19 and its main imaging characteristics. Methodology: In developing this work, national and international scientific articles found on the internet were used as research bases, on specialized sites such as Google Scholar, Scielo, Lilacs, PubMed, using the Keywords: Computed Tomography. COVID-19. SARS-CoV-2. Conclusion: Computed tomography (CT) of the chest has become a great ally in the diagnosis and monitoring of patients with COVID-19 due to its high sensitivity and simplicity in carrying out the exam, another factor that contributed to the preference in the use of chest CT is the low sensitivity of the tests in general and the large number of patients with false negative RT-PCR tests. For chest CT to be a valuable ally in combating COVID-19, it is necessary that you have full knowledge of the characteristics presented in the exam.
PEDAGOGICAL PRACTICE AS A LINK FOR CONNECTING THEORY AND PRACTICE IN TEACHING ELEMENTARY MATHEMATICS

Mathematics as a subject has been taught since the early years of the education. Elementary school teachers take great responsibility to teach this difficult, abstract, but sometimes boring subject. Hypothetically privilege of understanding this subject is a certain number of students. Teachers not only need to be a professional of the subject, but at the same time they must be artists also. This requires much work, patience, determination, and much love for children and the profession. Students of the Pedagogy Faculty of University of Tetovo are getting prepared for teaching Mathematics in elementary schoolsfirst in the theoretical part and then in the practical part. Pedagogical practice is realized in elementary schools, observing Mathematic teaching by teachers with experience and realizations of Mathematics classes by students themselves. Mathematical observations enable students to benefit from the experience of other teachers. This observation develops students observation skills, develops communication skills with colleagues of the same profession. Observation also makes it possible for students to observe application in practice of knowledge in the pedagogical content. This research evaluates the impact of Mathematic teaching practice on Pedagogy Faculty students of Tetova University. Questionnaire collects data of 46 students. Results showes that PedagoyFacullty students benefited greatly from participating in Mathematics teaching practice because they were able to build proper confidence and competence in lesson preparation and developed skills and attitude of a teacher during the practice. It was also revealed that teaching practice helps students to learn how to participate in school activities. This study proves (Pearson coefficient) the hypothesis that students’ opinion is not depended by students general success and students’ Mathematics success. According the hypothesis Mathematics teaching practice benefits all students and it should be practiced without hesitation in the subject Didactics of Teaching Mathematics as well as in other subjects where didactic theories are studied.