Reviewerly/exHarmony huggingface dataset:
Accelerating Smart Speaker Service with Content Prefetching and Local Control

Smart speakers like Amazon Echo or Google Home are popular because they provides intelligent virtual assistant services. However, smart speakers should be connected through the Internet to the voice server in the cloud that utilizes the powerful computing resources, which may cause the additional latency. In this paper, we propose a content prefetching and local control method to improve the response time of voice commands to smart speakers. Our proposal consists of local user intent detection on the device, content prefetching, and local text-to-speech processing. We select the popular voice commands regarding weather, music, news and time services, and implement a smart speaker prototype that can execute user intent detection at the device and play the prefetched contents with Google API. We compare our speaker prototype with five smart speakers by Amazon, Google, Kakao, Naver, and SKT. From five representative voice commands, we show that our local control of prefetched contents significantly improves the response time. For instance, in music and news services, the response time is reduced from 4.88 seconds to 0.11 seconds and 8.54 seconds to 0.13 seconds, respectively.
Electrodiagnostic (EDX) Predictors of Sensory Neuropathy in Primary Hypothyroidism and its Association with Age and Body Mass Index (BMI): A Cross Sectional Study

Background: Sensory neuropathy occurs in hypothyroidism often early as compared to motor. Involvement of median and sural nerve is reported earliest in literature. There is controversial electrophysiological data with respect to predictors of neuropathy and its association with age and body mass index. Objectives: Present study was aimed to find out EDX predictors of sensory neuropathy and its association with age and BMI in primary hypothyroidism patients. Materials and Method: Total 28 out of 39 hypothyroid cases referred to clinical neurophysiology laboratory were selected for analysis. These cases satisfied the biochemical and EDX criteria. Percentages of abnormalities in different variables of nerve conduction study were calculated. Also coefficient of correlation between age, BMI and different variables evaluated for association between them if any. Results: Study population was having age range from 23-75 years, 15 female and 13 male. Female preponderance was observed. Correlation between Age, BMI and different variables of NCV were statistically not significant. Sensory conduction velocity was most common abnormality observed (49%), followed by SNAP amplitude (42%) and onset latency (25%). Conclusion: We concluded that age and BMI have no effect on occurrence of neuropathy in primary hypothyroidism. Sensory Conduction velocity was most common predictor of sensory neuropathy in these cases.
Growth of Problem Solving Ability in Strength of Material

3 problem-solving abilities are fostered in the strength of materials. These are fostered during the derivation of formula, by using the formula and through the application of design. In these processes, there is a use of existing knowledge in common. Therefore, making a habit to use the existing knowledge was set as an achievement purpose and the development of problem-solving ability used the strength of materials was set as the achievement goal. In this study, educational effects are described.
A copula-based visualization technique for a neural network

Interpretability of machine learning is defined as the extent to which humans can comprehend the reason of a decision. However, a neural network is not considered interpretable due to the ambiguity in its decision-making process. Therefore, in this study, we propose a new algorithm that reveals which feature values the trained neural network considers important and which paths are mainly traced in the process of decision-making. In the proposed algorithm, the score estimated by the correlation coefficients between the neural network layers that can be calculated by applying the concept of a pair copula was defined. We compared the estimated score with the feature importance values of Random Forest, which is sometimes regarded as a highly interpretable algorithm, in the experiment and confirmed that the results were consistent with each other. This algorithm suggests an approach for compressing a neural network and its parameter tuning because the algorithm identifies the paths that contribute to the classification or prediction results.
EXPLORING HOW PRE-SERVICE TEACHERS’ PERCEIVING COLLABORATIVE WORK BASED ON AN EXPERIENCE OF EDUCATIONAL CO-WORKING BETWEEN UNIVERSITY AND SCHOOL

Information about the paper titled "EXPLORING HOW PRE-SERVICE TEACHERS’ PERCEIVING COLLABORATIVE WORK BASED ON AN EXPERIENCE OF EDUCATIONAL CO-WORKING BETWEEN UNIVERSITY AND SCHOOL" at IATED Digital Library
Trinity Image in M. V. Nesterov’s Painting: Specificity of Artistic Language and Religious and Philosophical Interpretations

The article for the first time examines interpretation of the Trinity image in M. V. Nesterov’s painting with a view to identify specificity of artistic language and philosophical content, vectors of spiritual and artistic influence, peculiarities of religious and philosophical interpretations. Analysing poorly investigated artworks, the researcher traces influence of the Old Russian, Byzantine, Italian art, academic, realistic, modernistic trends, reveals impact of the Russian philosophical thought on the painter’s religious and philosophical attitudes. The conclusion is made that M. V. Nesterov interpreted the Trinity dogma from the viewpoint of the philosopher and the painter-innovator.
INCLUSION OF INTERACTIVE VIDEO CONTENT USING EDPUZZLE© AS PART OF THE PRACTICAL TRAINING IN STUDENTS OF PHYSICAL THERAPY

Introduction: Learning manual abilities is a key element for students in the Degree of Physical Therapy. Different manual therapy techniques are explained theoretically and practically by professors, and afterwards, students organize small groups in order to practice what they have previously learned. Even though they are used to a passive learning experience, students create their own videos applying those techniques for further studying.Previous research has shown that students retain practical learning content up to 60% more if they have an active role in the process. Therefore, the use of an approach based on active learning using ICT tools such as the Edpuzzle© video edition software, will enable teachers to verify if the students are following the created content, how many times are students viewing each video and if they are understanding how useful can the content be.Objectives: The aim of this work was to determine if the use of ICTs such as the Edpuzzle video edition software helped students of Physical Therapy enhance their abilities in manual therapy and reduce common practical mistakes.Mterials and method: This study was performed at Universitat de València (Spain) and included 50 students that belonged to the Degree in Physical Therapy. Students divided into small groups (3-4 students). Each group was responsible for the development of a video that contained the proper way to do 1 or 2 manual therapy techniques they had previously been shown in class. After that, every video was analyzed by the whole class, along with the professor in charge, in order to detect possible errors of the technique’s execution or position. The last step was the introduction of the Edpuzzle software in order to insert several questions at every point of time in the video, looking to asses if the student understood the given information and was able to detect common mistakes. A survey was also given after the intervention in order to know what the student thought about the idea. Results: Results show that the inclusion of this ICTs was very positively accepted by students, due to the dynamic learning process, that better resembles a future working environment. More so, the produced material served as a resourceful tool for students to study whenever they needed or wanted.
Memory Aggregation Networks for Efficient Interactive Video Object Segmentation

Interactive video object segmentation (iVOS) aims at efficiently harvesting high-quality segmentation masks of the target object in a video with user interactions. Most previous state-of-the-arts tackle the iVOS with two independent networks for conducting user interaction and temporal propagation, respectively, leading to inefficiencies during the inference stage. In this work, we propose a unified framework, named Memory Aggregation Networks (MA-Net), to address the challenging iVOS in a more efficient way. Our MA-Net integrates the interaction and the propagation operations into a single network, which significantly promotes the efficiency of iVOS in the scheme of multi-round interactions. More importantly, we propose a simple yet effective memory aggregation mechanism to record the informative knowledge from the previous interaction rounds, improving the robustness in discovering challenging objects of interest greatly. We conduct extensive experiments on the validation set of DAVIS Challenge 2018 benchmark. In particular, our MA-Net achieves the J@60 score of 76.1% without any bells and whistles, outperforming the state-of-the-arts with more than 2.7%.
Towards Safer Self-Driving Through Great PAIN (Physically Adversarial Intelligent Networks).

Automated vehicles' neural networks suffer from overfit, poor generalizability, and untrained edge cases due to limited data availability. Researchers synthesize randomized edge-case scenarios to assist in the training process, though simulation introduces potential for overfit to latent rules and features. Automating worst-case scenario generation could yield informative data for improving self driving. To this end, we introduce a Physically Adversarial Intelligent Network (PAIN), wherein self-driving vehicles interact aggressively in the CARLA simulation environment. We train two agents, a protagonist and an adversary, using dueling double deep Q networks (DDDQNs) with prioritized experience replay. The coupled networks alternately seek-to-collide and to avoid collisions such that the defensive avoidance algorithm increases the mean-time-to-failure and distance traveled under non-hostile operating conditions. The trained protagonist becomes more resilient to environmental uncertainty and less prone to corner case failures resulting in collisions than the agent trained without an adversary.
PRIVATE ASSESSMENT OF THE COMPETENCE OF THE STUDENT

The competence approach to assessing the level of the student's education within&#x0D; the framework of the educational program is considered and a description of the computer program&#x0D; developed by the authors is worked out, the algorithm of which is based on the evaluation of the «indicator» of the competence level and the «private evaluation» obtained in the students study of the discipline provided in the curriculum.
고객서비스 정보시스템 재구축과 신규구축 성공에 영향을 미치는 요인에 관한 비교사례연구

Rrecently, companies have made great efforts to satisfy various needs and heightened expectations of customers, and the importance of customer center as customer contact department for customer relationship management is increasing. In the knowledge ecosystem, corporate customer centers are emerging as a new alternative to acquiring corporate competitiveness by increasing sales and increasing market share by improving marketing support activities and customer relationship management at customer contact points. As a result, the interest in the customer center has increased rapidly because it provides the opportunity to contact with the customer. In addition, in the era of the fourth industrial revolution, the customer center, which is a collection of information and communication technologies, has a big data-based voice recognition technology to elaborate customer service, thereby enhancing customer satisfaction and contributing to marketing through continuous interaction with customers. Of course, we have the opportunity to transform into the frontline business intelligence front for customer knowledge. This study is a comparative case study on how the customer center of K Life Insurance that takes the lead in the customer center industry has successfully renewed and established their key information systems to improve customer services and reinforce marketing support competencies. Based on the above, this study will present factors affecting successful implementation and settlement of the customer service information systems of customer centers by independently analyzing two individual cases.
USING OPEN EDUCATIONAL RESOURCES BY PRIMARY TEACHERS FOR MATHEMATIC TEACHING

Effective use of different resources to support teaching is a teacher competence and most teachers are already able to use Open Educational Resources (OER), which are often defined as freely accessible materials that are used for teaching, learning and evaluation. The educational use of these resources must be made consciously and wisely. Also, mathematics teachers, if they use tasks from freely downloadable servers in their lessons, must subject these tasks to careful examination and analysis, think through them in a didactic context and verify the accuracy of their results.There are big differences between mathematical materials within OER and most of the Czech ones are focused only on tasks requiring algorithmic thinking or practicing formulas. Concerned at the level of the English language, teachers seek inspiration, especially from home sources. The paper aims to present the results of teachers' work with selected foreign OERs. As part of the pilot survey in 2019, teachers were asked to select 10 tasks for implementation in the mathematics of primary school, to translate them and to methodically analyze and evaluate them from given sources (https://www.youcubed.org/ and https://nrich.maths.org/) about the effectiveness of teaching mathematics. Data processing was carried out qualitatively in the form of text analysis, whereby these tasks were grouped into common categories and analyzed.Teachers usually evaluated the work with these tasks very positively, with the fact that their implementation enriched their teaching of mathematics. The paper also includes specific examples of students´ solutions.
ASSESSING CREATIVITY VIA PROBLEM SOLVING TASK ON A VIDEO-BASED MEDIA IN HIGH STAKES RECRUITING PROCESS

T.A. Pereira da Ponte1, J. Zanetti Rocca2 1Insper (BRAZIL) 2Universidade Federal de Mato Grosso (BRAZIL)
E, System EXPERD SYSTEM OF OBESITY DIAGNOSIS USING BACKWARD CHAINING METHOD AND CERTAIN FACTOR

Obesity is a medical condition in the form of excess body fat that accumulates in such a way as to have a detrimental impact on health, which then decreases life expectancy and or increases health problems. Obesity is now a common health problem in this modern society with a variety of technological discoveries that make people don't need to move a lot to do something, resulting in people living a lifestyle without much Move. Researchers feel the need for an expert system application that can easily diagnose obesity with everyone just by modalizing simple applications on people's smartphones. The expert system that is built will diagnose early obesity disease by method of drawing inferences using backward chaining method and to test the level of belief conclusions using certainity factor method. The system will be able to provide output in the form of obesity diagnosis, explanation, tips and advice on obesity handling solutions. System development Methods using ESDLC (Expert System Development Life Cycle). The system is built on Android.
ENTREPRENEURS IN RUSSIAN SYSTEM OF EDUCATION. EXPERIENCE AND PROSPECTS

Entrepreneurship is an essential feature of the modern economy. Its main characteristics are: initiative style, independence, systematic update, innovative ideas, financial and social risks. The purpose of such an activity is to earn profit - as in classical business. Currently, in Russia entrepreneurship is developing in various fields, each possessing its own characteristic features. The academic purpose of this study is to analyze the characteristics of entrepreneurship in the field of education in Russia. These features proceed from the fact that education belongs to the branches of the social sphere. Educational organizations are created mainly as non-profit organizations. In these circumstances profit-making cannot be the goal of their activities, including the entrepreneurial one. At the same time, in conditions of limited budget funding, budget educational organizations are forced to find various types of activities that bring them additional income. The implementation of market principles in the work of educational organizations allows us to reduce budget expenditures for their maintenance and to ensure the development of the quality and scope of services provided. The independence of educational organizations is expanding. Competition encourages improving the quality of education, introducing various innovations. This determines the need for entrepreneurial activity in educational organizations, which becomes a necessary condition for their development, increased competitiveness, and improved material and technical base, increasing the salaries of teachers and staff. In the 90s, new type of universities began to emerge in Russia, which crucial difference from those of the state is based on principally new form of financing. That means that they are financed only by students, charitable foundations and sponsors. The emergence of commercial universities has helped make higher education more accessible, especially in regions where educational innovations are not penetrating so quickly. On the other hand, there were precedents for some abuses, because of which unscrupulous institutions lost their license and cast a shadow on the reputation of other non-state institutions. Another problem of Russian commercial universities is that their funding is not enough for the needs prescribed in the licensing rules. So, new trends in Russian education as far as new challenges in this field are being researched in the article. Main methods, used in the research: method of structural analysis, method of statistics, method of economic analysis and method of complex analysis.
FOREIGN ENGINEERING STUDENTS COACHING WITH ICT: CHATBOT

At University Degrees, students must be the core of their own teaching-learning process; and foreign students, who come to our international degree programs in Spain to realize one year of their university studies also. Nevertheless, first, these foreign students need to be incorporated and included in the style and culture of our country and university system.Universities have international programs to offer facilities to get a flat, the travel to our town and to give them welcome when they arrive at our cities. However, there are some common activities that foreign students need to do, which are not offered from those university programs. Some real examples of these questions are the following. Going to buy food, clothes (if they don’t have the specific clothes adapted to our weather), doctor, hospital, and even hairdresser (I had the case of African students who couldn’t find a specialist hairdresser in a city as Valladolid, which is not too large to offer that service), cannot be responded at all from University international students service.Information and Communication Tools (ICT) allow us to automate the management and attention of these common and top-level questions that require both, time and human and economic resources. Therefore, we have implemented an ICT tool that aims to be a fast, simple, clear and efficient response procedure for this type of questions.As the mobile phone is the most used electronic device by our students, we thought to offer a solution for it. After an analysis about different options, we decide to apply an ICT called chatbot, so, we have designed and developed a chatbot tool specifically for the aim of this work.In addition, we included information about other questions related to schedules of different buildings at University, classes, laboratories, tutoring, subjects and exams. The objective is to give them in a quick and simple way all the relevant information to involve them in the University as soon as possible.Our chatbot tool simulates two-way communication with a human agent to answer questions. However, the system is fully computer-based and automatic, which means that a machine is responding (software program) and it operates autonomously, without requiring the intervention of a human operator. In addition, our tool can help them anytime and anywhere. As foreign students belong to an international program, which requires learning in English language, we have designed and implemented the chatbot tool in English too.The function of coaching by chatbot of all this foreign students for starting their studies at our Spanish university, an Engineering School, and for helping with some domestic questions as supermarkets, typical shops, culture activities, museums, hairdresser, hospitals, and others, is valued as necessary and positive from these students.
INNOVATIVE APPLICATION OF BEHAVIOURAL RESEARCH AND ANALYSES IN EDUCATION PROCESS

In year 2017 Slovak economist where in for a shock. Over the course of four months the price of butter went up by 53%, while overall consumption dropped by only 8% over the observed period. Some sources even argue that butter consumption went up a bit for a short period of time during the substantial price increase. Furthermore, UN statistics show that Ukraine’s children vaccination rate plummeted from almost full vaccination in 1990 to less than 50% of children in 2014. Apart from defying logic these phenomena that our world is full of have one thing in common. They originate from the behavioural factor of human mind. Contradictory to our beliefs our minds are behaving irrational more often than they are not, as is highlighted by a growing number of behavioural psychologists likes of Daniel Kahneman, Elliot Aronson, Dan Ariely and many more. Academic research in behavioural field focuses mostly on experimental trials and identification of particular biases and faults in human cognition. Based on years of academic research in this field the aim of our article is to analyse the most common cognitive biases and misassumptions that humans commit during their decision-making process. Identify easy experiments that can be conducted in real time during education process and will create a lasting impact on students. Furthermore, this paper establishes a methodology for practical education of students in behavioural fields aimed at helping students understand the delicate and fragile nature of human decision-making process. After identification of key aspects and topics, experimental part of the research was done on 30 students. Based on detailed feedback conducted before and after the lectures where delivered study aims to identify how students opinions changed in regard mostly but not exclusively to confidence in their own decisions, understanding of the process their mind works and realisation of fact that they can be easily manipulated. In future research we aim to link these changes in perception of ones own cognitive process to improvement in business performance, communication and resistance to fake news and propaganda. We also aim to iteratively analyse and improve the course based on measured change in student’s perception and feedback provided.