Reviewerly/exHarmony huggingface dataset:
Content Analysis of Health-Based Iranian Systems and Apps on Covid-19

Aims: E-health services play an important role in controlling the epidemic, implementing quarantine and responding to current and future health needs. The aim of the study was to evaluate the quality and content of Persian-centric covid-19 health systems and applications. Instrument & Methods: In this descriptive study, the feedback and information of Iranian health-oriented applications and systems (screening, prevention and treatment) related to Covid-19 and having direct and indirect interaction with users in December 2020 were examined. Keyword (s): system, site, software, application, app, installation, sars-cov-2, covid-19, coronavirus, covid-19, coronavirus, self-assessment, health, care, consulting, screening, prevention, follow, disease, diagnosis, treatment, emergency, instructions, training, online, online and testing were searched on the sites of Google, Yahoo and Bing and the markets of Bazaar Cafe, Miket, Charkhooneh, Anardoni, Apple App, Sibcheh. Then the software and systems were reviewed and the items related to Covid-19 were evaluated based on the MARS scale. Findings: Iranian health-oriented apps/systems included 8 applications, 4 systems and 4 mobile application systems. The total number of installed applications in the country was 941173 and "Mask" had the highest installation with 75% (n=700000). The acceptance rate/use of Covid-19 screening-treatment systems and applications was 2.2% of the population with smartphones in the country. Based on the ranking scale of the smartphone application, the highest average was in the dimension of information (3.2) and the lowest was in the individual perception of the quality of the application (2) and interaction (2.3) (total average 2.6). The 4030, Clinic, Mask, and Corona-115 apps scored the most points with 3.6, 3.5, 3.3, and 3.1 out of 5, respectively. Conclusion: This study suggests that most COVID-related apps meet acceptable criteria for content, or functionality, and poor criteria for quality, esthetic and interesting features.
Motion-core assistive tools using pervasive embedded intelligence

Real-time human movement monitoring anywhere at any time is time critical depending on core human motion activities, in particular nation’s valuable asserts; athletes and soldiers considered as reference standard of any society. Light weight wearable technologies are the key measurements and instruments system integrated to develop human motion-core assistive tools (MAT) using pervasive embedded intelligence. Unlike many existing motion analysis models, motion-core models are based on domain specific data service architectures beyond cloud technologies using inner data structures and data models created. Four layered micro system architecture that consists of sensing, networking, service and Motion-core IoT (MIoT) is proposed. Knowledge base was designed as a distributed and networked data center based on transient and resident data addressing modes in order to guarantee the secure data accessing, propagating, visualizing and control between these two modes of operations. While transient data change and avail in relevant clouds storages, corresponding resident data and processed data retain inside local servers or/and private clouds. Data mapping and translation techniques are applied for the formation of complete motion-core data packet related to the test subject under consideration. Thus, hybrid MIoT system is developed using 3D decision fusion models which are the internationally quantifiable standards for assessing human motion set by trainers, coachers, physiotherapists and orthopedics. MIoT built as motion-core assistive tools have been tested for rehabilitation monitoring, injury prevention and performance optimization of athletes, soldiers, and general public. The hybrid system introduced in this work is novel and proves lower down the latency and connectivity independence by allowing human movement analysis during daily active lifestyle.
Unsupervised 3D Feature Extraction and Edge Detection Algorithm

In this note, I'll present an unsupervised algorithm that can extract three-dimensional features from an ordinary two-dimensional image, and detect edges within the image, thereby extracting two-dimensional shape information, in each case in polynomial time.
From Emergency to Emergence: re-think design approach in a transition age.

This position paper look at the COVID-19 pandemic human condition that arises with fundamental conversations about design as a fluid social, cultural, and political artifact. The aim of our position comes from the necessity of consider some concepts to analyse epistemic and ontological consequences of the pandemia in the field of design research. There is no question about the huge impact of pandemic disease on the planet. On the other hand, terms as environment, digital, hyperobjects have already deeply changed our perception of the reality, our daily life, our behaviours. Rather than an emergency to be responded to quickly, the virus is here intended as an opportunity to let problems and solutions already in place for some time, aware that it is not life that has changed after the pandemic, but the most accurate perception we have of it.
E-Learning Education a Potential Learning Solution for Rural India

Mobile phones, internet, tablets, IPads, their applications, social media etc are part of our lives from the start till the end of the day. Technology is touching every aspect of society and changing it drastically. But there is one very important part of the society that has also been touched by new innovations and discoveries with its golden hands and that is education with the concept of E-learning. Like all other areas, in this case also urban areas are influenced to a greater extent than rural areas. So much more could have been done to bring the revolution in learning process in rural areas of India. In this research paper development through E-learning and its barriers with future solution in rural India is observed. In this research paper, we observed that E-learning is an effective tool for development of educational sector in India. E-learning is learning, utilizing electronic technologies to access educational curriculum outside of a traditional classroom. In most cases, it refers to a course, program or degree delivered completely online. The basic objective of this research paper is to understand concept of e-learning with its challenges and solution to examine the type of e-learning. The research paper focused on e-learning in rural India.
Spirituality, Culture And Behavior As A Main Factor Of Satisfaction Of The Needs Of Human And Society

The article provides a scientific analysis of the relationship between the development of society and the interests of a person, spiritual, educational and moral factors of the realization of needs and interests, the characteristics of interests in the relationship between the individual and society.
Flow Control of Proton Exchange Membrane Fuel Cell with Theory of Inventive Problem Solving (TRIZ)

An optimization strategy is proposed to improve the performance of a proton exchange membrane fuel cell (PEMFC) by using the theory of inventive problem solving (TRIZ) and game theory.TRIZ is widely used to provide solutions to the problems of systematic and innovative designs as it is based on the analysis of scientific and engineering aspects in patented technologies.Factors that improve and worsen the flow control of air and hydrogen are selected by TRIZ.The selected factors are assessed to establish quality optimization strategies, with game theory used to formulate the reward matrix from the negotiation between two parameters.A COMSOL simulation of quality gain and loss was performed using the measured data of inlet temperature, inlet pressure, and pressure drop, which were found to be important factors.The results showed that the outlet temperature, outlet pressure, and pressure drop were improved by 16.67, 78.8, and 11.73% by the control of the inlet temperature, inlet pressure, and flow of air and hydrogen, respectively.TRIZ with game theory was proved effective for obtaining an appropriate flow control strategy of a PEMFC, and provides an effective and easy way to design and manufacture a device when there are many factors and parameters to consider.
치위생학 전공 학생의 특수목적 영어교과목 요구분석

Objectives: This study analyzes the demands of dental hygiene college students for English courses and proposes ways to improve English courses for college students majoring in dental hygiene that would take advantage of English for specific purposes (ESP) in the future. Methods: Using a structured questionnaire, four universities by region with departments of dental hygiene were selected at random, and out of a total of 260 college students majoring in dental hygiene, data of 258 students, excluding data with missing values, were considered for investigating the needs of English curriculum development using the SPSS program. Results: Total 82.1% of the students expected English programs, and they said that English was important, The proposal for English curriculum development indicated that although the number of English programs was sufficient, diversification of English programs or changes in methods of managing classes were required. As for the need for English programs (66.4%), they required more ESP, such as practical English for dental or dental terminology, which can be used clinically and more than English for general purposes (EGP). Conclusions: Students in dental hygiene showed a higher demand for more professional ESP that can use clinically as dental hygienists in the future. It is necessary to consider the reorganization of the curriculum or changes in the method of managing English classes by reflecting one demands of dental hygiene students.
Penerapan Algoritma K-Means Dalam Pengelompokan Pekerja Tetap Perusahaan Konstruksi Menurut Provinsi

A construction company is one of the economic sector businesses that deal with planning and supervision of construction activities to form a building. Permanent workers, namely workers who have a work agreement with the employer for a period of time not based on a decision letter. Based on data obtained from the official Government website, which is located at https://www.bps.go.id/, which displays several numbers ranging from 2010 to 2018 according to provinces in Indonesia. For this reason, the data will be processed by clustering in 2 clusters, namely the highest and lowest, using the Data Mining method with the K-Means Algorithm. In this research technique, the data will be grouped based on the province's name that has the number of permanent construction company workers from 2010 to 2018. The Data Mining method is used to facilitate data grouping of the number of construction company permanent workers according to provinces in Indonesia. The decision-based results were based on the number of permanent workers in construction companies by province with the highest 1 province, namely DKI Jakarta and 33 other provinces, including the lowest level. It is hoped that this research can be an input to the government, provinces that have become more concerned with construction companies based on the clusters that have been carried out.
VEDesc: vertex-edge constraint on local learned descriptors

To improve the performance of local learned descriptors, many researchers pay primary attention to the triplet loss network. As expected, it is useful to achieve state-of-the-art performance on various datasets. However, these local learned descriptors suffer from the inconsistency problem without considering the relationship between two descriptors in a patch. Consequently, the problem causes the irregular spatial distribution of local learned descriptors. In this paper, we propose a neat method to overcome the above inconsistency problem. The core idea is to design a triplet loss function of vertex-edge constraint (VEC), which takes the correlation between two descriptors of a patch into account. Furthermore, to minimize the non-matching descriptors’ influence, we propose an exponential algorithm to reduce the difference between the long and short sides. The competitive performance against state-of-the-art methods on various datasets demonstrates the effectiveness of the proposed method.
Impact of Double Barrel Plan on the Crime Rate

Nowadays, developing countries like Philippines are experiencing inevitable crime problems. The country, Philippines, has been very active in developing methods to reduce if not eradicate the crime rate. One of such methods is called the Double Barrel Plan (DBP) which is an enforcement on the war on drugs. This study evaluated the impact of the DBP on reducing the index and non-index crime rate under quasi-experimental conditions. Quasi-experimental used were single group pre- and post-test design and interrupted time series design. The impact indicators used were the index crime rate and non-index crime rate. Results showed that crime rate after the implementation of the DBP is significantly lesser than the crime rate before the implementation of the DBP for index and non-index crimes using Wilcoxon signed-ranks test. However, using interrupted time series design in the groups studied, DBP has no definite effect on reducing those type of crimes. Nevertheless, the DBP did succeed in reducing the index and non-index crime rate in a specific location of the Philippines. Hence, the DBP has an impact on the reduction of index and non-index crimes.
Development of Online Project Based Learning Models in Graphic Media Development Courses

Current learning patterns require synergy with technology. In the era of disruption of online-based learning answers the challenges of the time, learning without being bound by space, distance and time that requires the active role of students in the learning process itself. Integrating project-based learning models and online learning methods, the purpose of this research is to produce a Online Project Based Learning model in the subject of Graphic Media Development that has feasibility aspects for students of Educational Technology. This research is a development research using the development model of Borg and Gall which has ten steps. The results of this study indicate that the Online Project Based Learning model has been validated by learning design experts and material experts. Learning design experts and material experts have assessed and stated that this model is feasible. Thus, it can be concluded that the Online Project Based Learning model is declared suitable for use in learning subjects in Graphic Media Developmen
SISTEM INFORMASI AKUNTANSI BERBASIS DESKTOP PADA WATER PARK DUTAMAS BATAM

The system used in the Wahana Water Park Batam still uses Ms Excel which often experiences problems including data loss and delays in presenting financial data. For the financial system that is used, manuals by writing in books. With these problems, an information system design is needed that is able to overcome the problems that exist at Wahana Water Park.The purpose of this research is to design an accounting information system from ticket sales and other income that is currently running at Wahana Water Park Dutamas Batam and to implement an accounting information system for Wahana Water Park Dutamas Batam based on the system that has been designed.The system is in the form of Data Flow Diagrams (DFD) and Entity Relationship Diagrams. For data storage, the system uses a database so that it can store large amounts of data and does not require a lot of space. System design with interface. The results of this study are that the accounting information system program that has been created can provide convenience in data processing and can solve existing problems with the existence of an accounting information system program, making it easier to calculate incoming money or income, expenses and other costs. For data storage media has been computerized and stored in a database, thus speeding up the search for data.
Investigating Iraqi EFL Secondary School Students' Perceptions towards Using Mobile Language Learning Technique

Changes in mobile technologies, developments in information technologies and telecommunication, computers programs and expansion of mobile market, likewise have inspired people to make use of these “anytime” and “anywhere” technologies in second language teaching. Use of mobile devices in language teaching has been the focus of language learning studies since language learning necessitates interaction and autonomy which are the key concepts in mobile assisted language learning for learners.&#x0D; The research aims at investigating Iraqi EFL secondary school students' perceptions towards using mobile language learning technique.&#x0D; To achieve the aim of the present research, a sample of 40 secondary school students were chosen randomly from many schools .&#x0D; To fulfill the aim of the study, the questionnaire of students consists of (17) items. After the analysis of the data, the findings indicated that the vast majority of students had had used their mobile phones to study English. Also, they expressed their welcome towards using this technology to study English in the future.&#x0D; It is recommended to promote the use of mobile learning devices, and encourage students to use mobile as a means of learning and teaching English language in various stages of education.
TASTING ONLINE PSYCHODRAMA WITH OBESITY SUFFERERS. DO YOU ACCEPT

The author shares experiences of psychodramatic care online with obese patients, as a tasting, which inspires the creation of resources and reflections on psychotherapeutic practice in times of the Covid-19 pandemic, as well as in new times, demonstrating the viability of the psychodramatic reference in this modality.
Dual Tree Discrete Wavelet Transform and Entropy based Approach for Video Shot Boundary Detection

Shot Boundary detection is one of the most prominent steps for the various video processing techniques like indexing of videos, video retrieval, video summarization, video scene analysis, etc. In this paper, we have projected a useful technique based on dual-tree Discrete Wavelet Transform. The dual-tree structure with selected filters returns the approximate decomposition in an analytical manner. Due to the existence of the two trees, the noise component is characterized precisely. The outcome of the DTDWT is distortion less with normalized localized function and exact reconstruction of the signal. WE have used the entropy function to measure the uncertainty in the random variable. Finally, we evaluated the algorithm using Recall, Precision, and F1 measure. Experimental results demonstrate the efficiency of the given method.
Resolving Ambiguity Using Word Embeddings for Personalized Information Retrieval in Folksonomy Systems

The diversity and high volume of available information on the web make data retrieval a serious challenge in this environment. On the other hand, obtaining user satisfaction is difficult, which is one of the main challenges of data retrieval systems. Depending on their information about interests and needs for the same keyword, different people expect different responses from Information Retrieval (IR) systems. Achieving this goal requires an effective method to retrieve information. Personalized Information Retrieval (PIR) is an effective method to achieve this goal which is considered by researchers today.  Folksonomy is the process that allows users to tag in a specific domain of information in a social environment (tags are accessible to other users). Folksonomy systems are made collaborative tagging systems. Due to the large volume and variety of tags produced, resolving ambiguity is a severe challenge in these systems. In recent years, word embedding methods have been considered by researchers as a successful method to fix the ambiguity of texts. This study proposes a model which, in addition to using word embedding methods to remove tag ambiguity, provides search results in a personalized approach by fixing ambiguity and sentiment analysis combination tailored to users' interests. In this research, different models of word embeddings were applied. The experiments' results show that after applying the fixing ambiguity, the mean accuracy criterion improved by 1.93% and the mean MRR (Mean Reciprocal Rank)  by 0.38%.
App2Check @ ATE_ABSITA 2020: Aspect Term Extraction and Aspect-based Sentiment Analysis

In this paper we describe and present the results of the system we specifically developed and submitted for our participation to the ATE_ABSITA 2020 evaluation campaign on the Aspect Term Extraction (ATE), Aspect-based Sentiment Analysis (ABSA), and Sentiment Analysis (SA) tasks. The official results show that App2Check ranks first in all of the three tasks, reaching a F1 score which is 0.14236 higher than the second best system in the ATE task and 0.11943 higher in the ABSA task; it shows a Root-Mean-Square Error (RMSE) that is 0.13075 lower than the second classified in the SA task.
Sentiment Analysis Of The Impact Of COVID-19 On Indonesia'S Economy Through Social Media Using The Ann Method

Social media platforms and micro blogging websites are rich sources of user-generated data. The internet has changed the way people express their thoughts and feelings through social media, like Twitter. Twitter as a place for information flow, Twitter is a rich source for learning about people's opinions and sentiment analysis. This study aims to determine how much the impact of the co-19 pandemic on economic conditions in Indonesia, measured from the resulting community sentiment. To solve the problem in this case study using a method that is for pre-processing data using cleansing, filtering, tokenization and stemming. The classification process uses the Artificial Neural Networks (ANN) method. The data used are Indonesian-language tweets with the keywords COVID-19, Economi Indonesia, MSME, storylineverline and phk, with a dataset of 1600 tweets. The results of this study are sentiment analysis of the impact of co-19 on the Indonesian economy. Results of training dataSMEs get an accuracy of 99.37% and Ojekonline data get an accuracy of 99.25%.
Correction to: from AI, creativity and music to IoT, HCI, musical instrument design and audio interaction: a journey in sound

An Erratum to this paper has been published: https://doi.org/10.1007/s00779-021-01574-9
Some Aspects of the Formation and Representation Prnciple of Interdisciplinary Collection in the Digital Space of Scientific Knowledge

Interdisciplinary thematic projects implemented by means of the electronic library "Scientific heritage of Russia" allow integrating objects of various nature (printed publications, archival documents, multimedia objects) into a single thematic resource and making it accessible to users. The approaches to the formation of interdisciplinary thematic collections in the digital space of scientific knowledge are investigated. Algorithms for the formation and presentation of a digital interdisciplinary collection are presented. The method of creation and presentation of virtual collections in the information environment of the electronic library "Scientific heritage of Russia". The main types of sections present in most projects are indicated. The main stages of the formation of an interdisciplinary collection in the digital space of knowledge have been formed and described, including the composition of the collection sections, sources for presenting collection materials, dispatching work with sources, the formation of metadata, the main types of sections, etc. An example of the application of the content formation methodology for creating an interdisciplinary collection is given.