Reviewerly/exHarmony huggingface dataset:
A new depth residual network combined recurrent with residual structure for human action recognition from videos

Human action recognition in videos has attracted much attention due to its wide application prospects in research field, such as human-computer interaction, intelligent detection and video search. And deep learning technology has achieved very good results in many fields of the computer vision, especially convolutional networks have achieved the best results in image recognition. However, most convolutional networks are not suitable for dealing with temporal problems. In response to the problems, this paper proposes a new computational framework for the problem of human action recognition from videos, which is presented in this paper by using modified deep residual network. First, the deep residual network is used to obtain features through the fully connected layer, then the recurrent neural network with the residual structure is introduced to improve the efficiency of classification. According to the similar characteristics of adjacent frames in content, the residual structure is introduced into the RNN to increase the depth of the model and obtain better classification effect. Moreover, in order to solve the over-fitting problem, pruning with preference is carried out. According to the proportion of parameters of each node, some parameters are cut off in the training process. Data experiments on some most popular benchmarks as Olympic sports and HMDB51 demonstrate that the presented method could achieve comparable good results to the state of the art.
Silicon photonic quantum computing

It is increasingly accepted that all commercially useful quantum computing applications require error-correction and therefore at least 1 million physical qubits. The manufacturing capability and expertise of the semiconductor industry are needed to deliver a commercially useful quantum computer on any reasonable time or money scale. In this talk, we will show how unique technology in the areas of silicon photonics and quantum system architecture enable the path to manufacturability and scalability of a fault-tolerant, general-purpose 1-milliion qubit quantum computer.
STUDENT YOUTH TRAINING AT THE MODERN STAGE OF EDUCATION DEVELOPMENT

Any field of activity, within the framework of modern scientific and technical development, has undergone, and continues to make more and more adjustments to its structure. Changes in the structure of the sphere of education, in particular - the discipline "Physical culture", is no exception. The main documentation on which the lessons on the subject are based is the educational-methodological complex of the discipline (EMCD), the working curriculum (WC), as well as their constituent parts. In the current conditions (pandemic), education had, for the most part, to switch to such a type of education as distance learning. Physical education teachers, coaches and teachers had to find new methods and means of conducting classes. Changing the methods (even coordinating ones) in conducting classes in the discipline "Physical culture" does not cancel its purposefulness. The goal - upbringing, development and maintenance of a healthy lifestyle among student youth, still remains relevant.
Analisis Sentimen Terhadap Vaksinasi Astra Zeneca pada Twitter Menggunakan Metode Naïve Bayes dan K-NN

The number of positive examples of Coronavirus continues to grow every day, especially in Indonesia. In an effort to reduce the surge in the higher case, the government carried out vaccination programs provided free for all Indonesian people. One vaccine given to Masyara-kat is the Astra Zeneca vaccine. In the provision of these vaccines bring benefits and losses in the community, some are supported and doubtful, some even refuse. On social media Twitter, Astra Zeneca is one of the most widely discussed in social media because of the many opinions or opinions that have sprung up from various circles. Some opinions from the community on Twitter will be used as data to examine the analysis of sentiment in the Astra Zeneca vaccine that utilizes the Naïve Bayes and K-NN methods. It is expected to produce an accurate level of accuracy. Based on the results of the study found different levels of accuracy, for the use of the Naïve Bayes method produced an accuracy rate of 90.71% +/- 4.66% (Micro Average: 90.77%) while the KNN method produced an accuracy rate of 74.78% +/- 3.74% (micro Average: 74.77%).
Deep Learning-Based Analysis for Abnormal Diagnosis of Air Compressors

Due to recent development of sensor technology and IoT, research is being actively conducted on PHM (Prognostics and Health Management), a methodology that collects equipment or system status information and determines maintenance using diagnosis and prediction techniques. Among various research studies, research on anomaly detection technology that detects abnormalities in assets through data is becoming more important due to the nature of industrial sites where it is difficult to obtain failure data. Conventional machine learning-based and statistical-based models such as PCA, KNN, MD, and iForest involve human intervention in the data preprocessing process. Thus, they are not suitable for time series data. Recently, deep learning-based anomaly detection models with better performances than conventional machine learning models are being developed. In particular, several models with improved performance by fusing time series data with LSTM, AE (Autoencoder), VAE (Variational Auto Encoder), and GAN (Generative Adversarial Network) are attracting attention as anomaly detection models for time series data. In the present study, we present a method that uses Likelihood to improve the evaluation method of existing models.
OKCFTr: Translators for Knowledge Reuse

Reuse is considered as an applicable way to improve productivity, which is especially applicable for knowledge based systems. The reuse of knowledge can avoid the bottleneck of developing knowledge based systems and hence greatly improve productivity. Translation is considered as an approach to facilitating knowledge reuse. The number of translators can be reduced by using a canonical form in translation. In this article, it is shown how the OKCFTr can be used to translate facts among Insight 2+, IBM ESE, CLIPS, OPS5, NEXPERT, and KAPPA. Translation schemes and examples are listed to demonstrate the feasibility. The OKCFTr can be used to facilitate knowledge reuse and collaboration. Integrating with a user interface, the OKCFTr becomes an Expert System Prototyping System to support expert system prototyping. In addition, the OKCF can serve as a communication convention in networks.
Dual education conditions for pedagogical bases of specialists inclusive training

One of the key problems of training a new type of specialist is the problem of forming appropriate inclusive competencies among students of pedagogical colleges. The article deals with the scientific and pedagogical bases of inclusive training of future specialists in the conditions of dual education. The work is based on the idea that the introduction of elements of the dual system of teaching students of pedagogical specialties will contribute to the qualitative development of student's general and inclusive training in the specialty, as well as the acquisition of practical skills in the relevant field directly in the educational organization. The study collected data through an experiment that included128 students and 10 representatives of employers. Data were analyzed using percentages and a pie chart. Results proved that the dual training system as a product of social partnership is an effective and flexible mechanism for training highly qualified specialists who can solve complex production tasks.&#x0D; &#x0D; Keywords: Dual education; inclusive training; pedagogical.
An Application for Simulating Patient Handoff Using 360 Video and Eye Tracking in Virtual Reality

Virtual reality (VR) is a relatively new and rapidly growing field which is becoming accessible by the larger research community as well as being commercially available for en- tertainment. Relatively cheap and commercially available head mounted displays (HMDs) are the largest reason for this increase in availability. This work uses Unity and an HMD to create a VR environment to display a 360◦video of a pre-recorded patient handoff be- tween a nurse and doctor. The VR environment went through different designs while in development. This works discusses each stage of it’s design and the unique challenges we encountered during development. This work also discusses the implementation of the user study and the visualization of collected eye tracking data.
Cloud Security: Challenges and Solutions

Cloud computing is the delivery of shared computing services—including servers, storage, databases, networking, software, analytics, and intelligence— over the Internet (“the cloud”) to offer faster innovation, flexible resources, and economies of scale. To simplify, Cloud computing is on-demand delivery of IT resources. Many organizations are stuck in the conundrum of whether to cloudify or not to cloudify, mainly due to concerns related to the security of enterprise sensitive data. Removing this barrier is the pre-requisite to fully unleash the tremendous potential of cloud computing. The revolutionary principle of ‘Shared Resources’ is the cause of concern from Information Security point of view. Confidentiality, Integrity, Availability, Authenticity, and Privacy are essential concerns for both Cloud providers and consumers as well. Security concerns have given rise to an active area of research due to the many security threats that many organizations have faced at present. This seminar report provides a concise study on data security and privacy protection issues associated with cloud computing. Then this report discusses some current solutions and finally describes some measures for top identified threats in data security and privacy protection issues in cloud.
Is enterprise AR is outperforming consumer AR?

AR headsets are being used to improve efficiency in staff training, manufacturing, production and design, etc. As it evolves, AR will provide immersive step by step instructions for technicians, leading to time saving and cost reduction. AR makes work more accurate and work environment safer through engaging simulation and training of different scenarios. On the consumer side, it’s mostly mobile AR that prevails in mass market. The major factor which are fueling the AR market growth of consumers is worldwide high penetration of smartphone and mobile devices. Which going to win?
Introduction to the Special Issue on the International Joint Conference on Rules and Reasoning, RuleML+RR 2019

Abstract This special issue of Theory and Practice of Logic Programming consists of extended versions of five selected papers from the 3rd International Joint Conference on Rules and Reasoning (RuleML+RR 2019). RuleML+RR 2019 was held in conjunction with the 5th Global Conference on Artificial Intelligence, GCAI 2019, as part of the Bolzano Rules and Artificial INtelligence Summit in Bolzano, Italy, from 17 to 19 of September 2019.
RANCANG BANGUN SISTEM INFORMASI RETENSI REKAM MEDIS DI RSIA X

This study aimed to design and create an outpatient medical record retention information system at The X Hospital. The results of research conducted, found several problems faced by the health center. Itâ€™s hard to find active and inactive medical record data, so the medical record data that are retained or inactive is unknown. The research method used is a qualitative approach that is supported by data collection techniques, using observation, interviews, and library research. The development method used is the waterfall method assisted by the design of Data Flow Diagrams. This system is based on a desktop that uses Microsoft Visual Studio 2010 as a programming language and uses the Microsoft Office Access 2013 database. Based on the problems above, the writer tries to give some suggestions, including (1) the Need development of information systems technology that the author will design. (2) Integration of health information systems to obtain efficient and effective performance.
Estratégias que visam a saúde mental dos idosos em isolamento social pela Covid-19

Objective: To identify in the literature which strategies aim to improve the mental health of the elderly in social isolation due to the COVID-19 pandemic. Methods: This is an integrative literature review, built through six steps. The acromion PICOT was used for the elaboration of the guiding question, being Target Audience (P), Intervention (I), Purchase (C), Outcome/Outcomes (O) and Time (T). Thus, the guiding question of the study was: “Identify which strategies aim to improve the mental health of the elderly in social isolation?”. Data collection was carried out from June to July 2021, in the Virtual Health Library (BVS) and PUBMED databases, using descriptors obtained through the Health Sciences Descriptors (DeCS), using inclusion criteria for the selection of articles. After reading these articles, a synthesis matrix was elaborated, containing the information. Results: Seven articles were selected, five from 2020 and two from 2021, all of which were published in English, in the PUBMED database. Final considerations: It is noteworthy that digital technologies provide an interaction of the elderly with their families, in addition to alleviating feelings of loneliness, depression and anxiety, experienced by these elderly people.
Teacher Perceptions on Computer and Media Learning (ICT) in English Language Acquisition in Primary and Secondary Schools in Macedonia

The recent reform of education in the Republic of North Macedonia has brought innovation in the use of technology in the teaching process as well as in the use of computers as a tool, and also as a method and a way to learn. Also, projects and curricula for computer learning have been developed in both primary and secondary schools. In this context, this theoretically-empirical research combines the reality of the use of ICT tools in English language classes in elementary and secondary schools with segments defined in the English language curriculum. With the empirical, descriptive, and conclusive results gained in this research, where 108 English language teachers in the primary and secondary schools of Skopje, Gostivar, and Tetovo were surveyed, a statistical difference (sig = 0.028) was observed in teacher attitudes per city in terms of level and the impact of ICT tools on the productivity of students in English language classes as well as the statistical difference (sig = 0.043) in teachers' attitudes by their age. In the end, the hierarchy of ICT tools was determined according to their level of use and the hierarchy of skills developed by the use of ICT tools in English language classes in elementary and secondary schools.
Reasoning in inconsistent prioritized knowledge bases: an argumentative approach

&lt;p&gt;A study of query answering in prioritized ontological knowledge bases (KBs) has received attention in recent years. While several semantics of query answering have been proposed and their complexity is rather well-understood, the problem of explaining inconsistency-tolerant query answers has paid less attention. Explaining query answers permits users to understand not only what is entailed or not entailed by an inconsistent DL-LiteR KBs in the presence of priority, but also why. We, therefore, concern with the use of argumentation frameworks to allow users to better understand explanation techniques of querying answers over inconsistent DL-LiteR KBs in the presence of priority. More specifically, we propose a new variant of Dung’s argumentation frameworks, which corresponds to a given inconsistent DL-LiteR KB. We clarify a close relation between preferred subtheories adopted in such prioritized DL-LiteR setting and acceptable semantics of the corresponding argumentation framework. The significant result paves the way for applying algorithms and proof theories to establish preferred subtheories inferences in prioritized DL-LiteR KBs.&lt;/p&gt;
PENGGUNAAN MODEL PEMBELAJARAN CONTEXTUAL THEACING LEARNING (CTL) UNTUK MENINGKATKAN KETERAMPILAN BELAJAR MATERI BERWUDHU KELAS I SDN KALIANGET BARAT III KABUPATEN SUMENEP

Abstract&#x0D; This research activity procedurally uses the Classroom Action Research (CAR) design. The results of the study, the use of the Contextual Theacing Learning (CTL) learning model can improve learning skills about ablution in grade 1 students of SDN Kalianget Barat III Sumenep Regency. This can be seen in the increase in the average value of learning skills in cycle I and cycle II, namely cycle-1 70.1 and cycle-2 89.96, it is seen that almost all students are skilled in performing ablution movements. This means that learning with the Contextual Theacing Learning (CTL) method can improve learning skills.
Pengaruh Media Pembelajaran Berbasis Website (Wordwall) Terhadap Hasil Belajar Peserta Didik Pada Mata Pelajaran Fiqih Kelas VII Di Sekolah Menengah Pertama Muhammadiyah 07 Paciran

This study uses the application of the classroom action research model (CAR) with the aim of knowing learning outcomes in fiqh class VII subjects through wordwall game media because after using wordwall game media students obtain complete learning outcomes at SMP Muhammadiyah 07 Blimbing, Paciran for the 2020/2021 academic year. . The population in this study were all seventh grade students at SMP Muhammadiyah 07 Blimbing, Paciran for the 2020/2021 academic year, totaling 50 students. In this study, the data collection technique used was the observation method.&#x0D; From the results of data processing questions before using the application of web-based game learning media (Wordwall) and after using the application of web-based game learning media (Wordwall) or commonly referred to as pre-test and post-test, which were tested with the equation formula Product Moment Correlation with significance level of 5% and 95% confidence level and 1% significance level and 99% confidence level, the result of rcount is 0.955. Meanwhile, in the rtable with 50 respondents, it is known that the rtable prices are 0.284 and 0.368. After being compared with rcount, it turns out that rcount is greater than rtable (0.284 &lt; 0.955&gt; 0.478), meaning that Ho is rejected and Ha is accepted. Furthermore, in the interpretation of the assessment, the correlation coefficient found is 0.955, which is between 0.80-1,000, so it is included in the very strong category.
Evolution in the Field of Mathematics Education: Its People, its Products, and its Directions

Reflections on the Field of Mathematics Education
Compulsory Vaccination and Fundamental Human Rights in the World of Work

During the COVID-19 epidemiological emergency, several countries adopted regulations which have affected the world of work. The impact of these measures on workers and other employees has been the subject of numerous studies. Among the legislation, there are some that apply to specific occupational groups, such as healthcare workers, and others that apply more generally to a broad section of society. What they have in common is that they restrict the fundamental rights of workers to an extent that justifies a thorough human rights and constitutional rights analysis. The aim of this paper is to analyse the issue of compulsory vaccination by focusing primarily on the case law of the European Court of Human Rights and attempt to interpret it in relation to the domestic regulation of the COVID-19 pandemic. The second part of the paper is a case study based on the Hungarian legislation, which was adopted recently.
Polarized Single Photon Generation from a Quantum Dot

The linearly polarized single photon is a key component for single-photon applications, such as quantum simulators and quantum key distribution.Here, we propose a novel approach for generating linearly polarized single photons using a simple elliptic mesa containing an InAs/GaAs quantum dot (QD).We found that 91% of the QD emission can be linearly polarized along the major axis for an elliptic mesa with a minor axis diameter of 300 nm.The degree of linear polarization of the QD emission was studied with the polarization mode distribution in the QD layer of the elliptic mesa by finite-difference time-domain simulations.The mode polarized along the major axis was dominant over the mesa plane, especially in the center for the 300 nm mesa, enabling high linear polarization of single photons emitted from the mesa.The proposed method for generating linearly polarized single photons using a simple elliptic mesa, which features a broad operation band and can be easily fabricated, will be potentially useful in numerous single-photon applications.
A Text Location Method for Sign Based on Pixel-level Gradient Ray Images and Edge Contour Mapping

Abstract Compared with deep learning methods, traditional image processing methods have lower computational costs and have advantages for typical problems such as sign text, this paper proposes a sign text location method based on pixel-level gradient ray map and edge contour mapping. First, based on image pre-processing, the pixel-level gradient ray map is obtained by using the Stroke Width Transform. Then, using the Maximally Stable Extremal Region method to locate the irregular text candidate area in the ray map. At the same time, add a mask layer to filter the irregular candidate area, and then regularize the candidate area and perform Non-Maximum Suppression processing. Finally, the background non-text candidate area is processed by extracting the mapping of the closed edge contour of the image, and the remaining text area positioning candidate frame coordinates are mapped back to the original picture. The experimental results show that the method is simple and clear, the effect is remarkable, and it has good robustness to the sign of different sizes.
DIGITAL LITERACY IN MINIMIZING THE SPREAD OF HOAX NEWS

The availability of diverse information and easy access in the digital era has a negative side to the acceptance and review of information by the public. The availability of information that everyone wants makes a weakness, namely the number of hoax news present against the existing news. Departing from the above, the purpose of researching digital skills which will be an effort to suppress the rate of spread of hoax news that is widely circulated among internet-based media users, especially to students of MAN 1 Panyabungan. This study uses in-depth interviews with MAN 1 Panyabungan students and observations on their social media. This activity involved 20 students from Class XI. The results obtained from this study are 7 students based on the results of interviews and categorized as having high digital skills will be more introspective in carrying out news sharing activities by reading and re-checking the validity of the news received, 6 students prefer to directly share news without doing crosschecks. On the content and sources of news and the rest of the students chose to be indifferent to the activities of re-sharing the news they found. In this study, the level of awareness of MAN 1 Panyabungan students began to spread at the developing stage towards caring for news because of awareness of literacy and digital skills
The Third Memory

The paper is the result of long reflections on the essence and mechanisms of human memory. The complex phenomenon of memory is considered in the article from the perspective of various approaches, both natural science and human science, in which memory is understood either as a biological property, or as a social function, or as a cultural construct. The author puts forward a hypothesis that in the current age of high technologies we can talk about the formation of a third type of memory, some kind of artificial storage, in which personal and internal experiences coexist with a continuous flow of external information. The virtual nature of such a memory to a certain extent eliminates the usual opposition between the collective and the individual, and thereby not only expands the epistemological capabilities of a person, but also significantly corrects his existential parameters.