Reviewerly/exHarmony huggingface dataset:
Reading Skills in Self-Directed Learning

The article focuses on development of deep reading skills for high school students and university students. Deep reading is closely related to deep learning and lifelong learning skills that have to be acquired in the modern world. Developed deep reading skills create enjoyment and interest, which is a pathway to deep learning that will enable students become self-directed learners. Currently, we live in an information age when a massive amount of information comes through digital texts. At the same time, printed texts are still enjoyed by a large part of population. At this moment educators are facing a difficult task – not to give up the goal to help students develop deep reading skills when there is temptation to turn to light reading under the pressure of computer technologies that offer an easy and fast access to information. The article offers some reading strategies that can be applied to develop deep reading skills.
Pareizrakstības kļūdas krievu valodā kā svešvalodā pamatskolā

The purpose of the paper is to determine the most typical and frequently used orthograms to pay attention to, when teaching Russian as a foreign language in a primary school. Our practical experience of teaching and our observation of the process of learning Russian as a foreign language allows us to state and suggest that schools lack systematic and focused teaching of Russian orthography. Pupils make a lot of mistakes because they do not understand the reason why such mistakes occur, they lack orthographic vigilance, i.e., the ability and skills to determine an orthographically “dangerous place”. Most teachers do not include practices and spelling skills of forming orthographic literacy into the context of their class activities and do not know practices of working on orthograms of different types and origin. It is considered that pupils learn Russian orthography through listening comprehension and through books and, thus, remember and memorize the spelling of different words well enough. It is believed that the pupil’s first step in the creation of a system of exercises to form orthographic literacy is the development of a classification of orthograms that are topical and frequent in teaching Russian as a foreign language in a primary school (forms 6–9). Similar research was conducted several decades ago, therefore, it is now necessary to develop and determine the methodology as well as technology for conducting an experiment and revealing the currently most typical orthographic and spelling mistakes. The classification of orthograms has been made with account of a comparative analysis of phonetic, orthographic and graphic systems of the Russian and Latvian languages. For the Latvian audience, it is expedient to single out phonetic and non-phonetic orthograms. Phonetic orthograms are those caused by underdeveloped phonemic awareness, interference of Latvian pronunciation and incorrect articulation of Russian sounds (seven types have been singled out). Non-phonetic orthograms (morphologic and traditional) are true orthograms and their spelling causes difficulties for both Latvian and Russian pupils. To determine the frequency and quality of mistakes in the Russian language, we have performed a diagnostic assessment. The data of our practical research can be used in forecasting mistakes of pupils who study Russian as a foreign language, creating a system of monitoring skills and abilities in writing, developing tests and exercises to contribute to the improvement of orthographic literacy of pupils.
Problem Analysis and Needs E-Book Based on Android of Biology Materials in SMAN 3 Padang

High-quality human resources are needed by all levels of society and the country. In this 21st century, we know the term millennial generation, this generation is generally found among students who are still teenagers. The student is very familiar with using a communication device in the form of a smartphone. The use of smartphones in schools as educational media needs to be optimized. The purpose of this study is to describe the problem analysis and the need for e-book based on android biological material. This type of research uses descriptive qualitative analysis by data collection, data analysis, and conclusions. Based on the results of data analysis it can be stated that: 1) the author's interview with biology teacher at SMAN 3 Padang on April 23, 2019, stated that the unavailability of teaching materials in the form of an e-book based on android. 2) learning materials used during the learning process in the form of LKPD, books, modules, and browsing from the internet. 3) Students are allowed to carry a smartphone at school. 4) the learning process during the use of teaching materials as a whole has not been able to visualize the material structure and function of animal tissues and digestive systems as evidenced by the student questionnaire 23.76% and 20.79%. 5) learners agree if teaching material is in the form of an e-book based on android at school.
Pengembangan Media Pembelajaran Menggunakan Kodular Pada Materi Percabangan Dan Perulangan Guna Meningkatkan Pemahaman Siswa

This research aims to produce learning media using kodular in the form of anbasedapplication android / smartphone on branching and repetition material at SMK Negeri5 Sukoharjo and to test the effectiveness and eligibility of instructional media in theintermediary of teaching and learning processes to improve student understanding oflearning outcomes. Development of instructional media uses a codular platform andthere are 3 stages of eligibility testing from media experts, material experts and 30students as research subjects. The method used is Research and Development (R&D).The results obtained in this study are: 1) The assessment of media experts is 96.25%which is included in the suitable category; 2) The expert judgment on material a is89.28% which is included in the suitable category; 3) The assessment of the SUSquestionnaire is 70.15 which means that the score is included in the good ranking.The conclusion of this study is the learning media using kodular on the material ofbranching and looping is suitable and effective and can improve studentunderstanding.
Farewell to Dawn: A Virtual Theatre Production

In this video, we present Farewell to Dawn [1], an exemplar of Virtual Theatre, which we define as a live theatrical performance realized completely in a virtual space with contributors participating from different physical locales. The dance piece was performed live at the Rochester Institute of Technology in December 2016. This production combines virtual and augmented reality with motion capture to produce a live theatrical experience fully realized and experienced in a virtual space. The video presents the complete dance performance interspersed with behind the scene footage resulting in a unique 360 viewing experience.
Social networks and their role in the development of information services libraries of palaces of culture in Alexandria: a field study

Social networks play many social, cultural, educational, etc. roles in thelives of individuals in different cultures. There is no doubt that public librarieshave been heavily influenced by social networks in providing information servicesto the users. Therefore, any information specialist must make the best use of it tofill the gaps that his library cannot do, either for lack of time or for a tight budget.Also, social networks help the information specialist to provide what is new to theusers, as they always needs to know the new trends and waits the library toprovide him with.Public libraries in today's world are no longer as they were in the past,especially in the developed countries, because of their use of moderntechnologies that have emerged in the field of communications and informationtechnology, which became known as the “era of information and knowledge”,which imposed a new reality and cast a shadow over public libraries in all itsaspects and components. From: concepts and objectives through buildings,equipment, manpower, programs and services to planning, execution andevaluation. All this was covered by the winds of change and the introduction ofthese technologies became an important requirementThis study attempts to identify the importance of social networks indeveloping services provided by the public libraries affiliated to the GeneralAuthority for Cultural Palaces at Alexandria governorate as a public libraries thatneed to be presented with their services wherever the user resides and at anytime. Also, the public libraries should make all their services available throughtheir websites. The study also tries to know the extent of the impact of social  networks to increase the number of users of the services of these libraries, alsoThe study attempts to serve as a guide that can be used by libraries of culturalpalaces through proposals that will increase the effectiveness of benefiting fromits services in the age of social networks.The study based on the field survey methodology to determine theservices provided by the libraries of cultural palaces in Alexandria Governorate inthe era of social networks, and collecting facts and data, and then explainingthem to use their semantics in achieving the objectives of the study, One of themost important findings of the study that, social networks have helped to providebetter services, increasing the number of users from these libraries day after day
Sistem Pakar Diagnosa Penyakit Pada Sistem Pencernaan Kelinci Menggunakan Metode Fuzzy Expert System

Diseases of the digestive system are a type of disease that often attacks rabbits. This disease is also one of the causes of death in rabbits. This is based on interviews with veterinarians who say that, if diseases of the digestive system are not given the treatment quickly and precisely it will cause death in rabbits. Most veterinarians only open practices in big cities, so it is not uncommon for rabbit breeders who are late in giving treatment to diseases of the digestive system suffered by their pet rabbits. Based on the above problems, it is necessary to create an expert system that can help rabbit keepers and veterinarians in diagnosing diseases in the digestive system of rabbits, because so far there has not been any application to deal with this. The Fuzzy Expert System method will calculate every symptom experienced by rabbits by using the inference method from mamdani. In the Mamdani method, both input and output variables are divided into one or more fuzzy sets. The end result will be done by the process of processing a fuzzy set obtained from the composition of fuzzy rules to produce output in the form of a number in the fuzzy set domain, while this process is called affirmation (defuzzification). From the results of testing the system using the visual basic 2008 program is good to use, but still needs a lot of development in applying it to the expert system
An Investigation on the Outcomes of Rail-Based Solar Tracking System Incorporating Minimum Torque Condition for Increasing the Photovoltaic Energy Capture on Sunny Days

The effectiveness of each solar-operated system mostly depends upon its orientation with respect to sunbeams, and for this, there do plethora of system exist, but as per the ecological and geometrical circumstances, the efficiency of conventional systems varies, and for the reason that, the overall yield is deteriorated. It has known that an external energy source is essential for driving the solar tracking unit. Somehow, if one could minimize or dispense with this external energy source, the effectiveness of the photovoltaic panel would increase. An approach is made to develop the rail-based solar tracking system, which could dispense the external energy source by incorporating minimum torque condition. This study comprises an investigational corroboration of a perception to be used in optimum tracking stratagem during the sunny days in India. The work also insights experimental and simulation studies of incident sun insolation and energy yield of PV module in different conformations. The data analysis was performed for the city of Vasad (22.5° N, 73.1° E). The study outcomes obtained here have corroborated the method that employs the perception of “rail-based solar tracking incorporating the minimum torque condition” to determine feasibility of the scheme. The outcomes of this paper may aid as valuable consideration for upcoming solar energy usages.
LONGITUDINAL FIT ADHERENCE ANALYSES USING ITALIAN DATA

Aims To analyze patterns of participation among people invited for FIT screening and to assess the impact of screening history on the main performance parameters of the test.
SENTIMENT AND EMOTIONAL ANALYSIS OF USER OPINIONS ON TWITTER DATA USING MACHINE LEARNING TECHNIQUES

Technology today has become a momentous driving vehicle for communication world-wide.Social media platforms like twitter,facebook, instagram are the most important arenas for expressing views on transformations happening in and around the world everyday.Twitter is a rich origin of info for mining of user opinions.This paper reflects the idea of taking user opinions into consideration performing sentiment, emotion analysis and establishing conclusions on interested topics using Machine Learning algorithms.Naive Bayes and Support Vectors Machines in Machine Learning are tuned-up using supervised learning to obtain outputs for sentiment emotion analysis respectively.Sentiment analysis desires to obtain sentiment polarity (positive or negative) and Emotion analysis intent to obtain emotion (eg., empty , sadness , anger..etc) from user data. Such analysis essentially serves a gateway for consumer needs and generates growth opportunities in businesses.
Teaching strategies and methods of Oral Chinese Course for Korean stidents in non-target language environment──Taking Chosun University as an example

Takeing the teaching of Chinese in Chosun University ,this paper analyzes the common problems and causes of Korean students’ spoken Chinese in non-target language environment, and puts forward corresponding teaching strategies, to help Korean students improve their oral Chinese skills in non-target language environment. In the practical teaching, we have strengthened the practice of oral skills, raised the rate of students'speaking, implemented the situational teaching strategy, adapted to the students'life reality, interspersed with the hot phenomena of social life in China and Korea at present. Practice has proved that this is an effective teaching strategy for oral Chinese teaching in non-target environment.
The Effect of Perceived Similarity in Dominance on Customer Self-Disclosure to Chatbots in Conversational Commerce

Recent years have seen increased interest in the application of chatbots for conversational commerce. However, many chatbots are falling short of their expectations because customers are reluctant to disclose personal information to them (e.g., product interest, email address). Drawing on social response theory and similarity-attraction theory, we investigated (1) how a chatbot’s language style influences users’ perceived similarity in dominance (i.e., an important facet of personality) between them and the chatbot and (2) how these perceptions influence their self-disclosure behavior. We conducted an online experiment (N=205) with two chatbots with different language styles (dominant vs. submissive). Our results show that users attribute a dominant personality to a chatbot that uses strong language with frequent assertions, commands, and self-confident statements. Moreover, we find that the interplay of the user’s own dominance and the chatbot’s perceived dominance creates perceptions of similarity. These perceptions of similarity increase users’ degree of self-disclosure via an increased likelihood of accepting the chatbot’s advice. Our study reveals that language style is an important design feature of chatbots and highlights the need to account for the interplay of design features and user characteristics. Furthermore, it also advances our understanding of the impact of design on self-disclosure behavior.
Investigation on an application of emergency rescue in the initial natural earthquake by wavelet analysis

Abstract Earthquake brings great harm to humans. In order to achieve the desired effect and mitigation effectiveness of early warning, it must reduce the time of rapidly assessing earthquake location and processing seismic and other data. Seismic phase identification based on the wavelet analysis is a powerful and widely spread method in identifying the initial earthquakes. We can get the signals’ recognition factor of S wave and P wave in different scale. Then according to these recognition factors, we can determine the positioning function of primary earthquake of S wave and P wave. Next through the positioning function, we can easily pick up the first arrival of P wave and S wave. The wavelet packet analysis is a more precise analysis method of signal, which makes the frequency band multi-level division, and further decomposes the high-frequency part. Also, the wavelet analysis does not subdivide, and according to the characteristics of analysis-signal, the adaptive-select the corresponding frequency band is matched by the frequency spectrum of the signal, improving the time-frequency resolution. This paper mainly investigated the applications of initial earthquakes identification on emergency rescue, and it can be a useful theoretical reference for further relevant research.
Blind Deblurring of Single Car Image Based on Differential Autocorrelation and L-like Curve Method

Blind deblurring of single image is an inverse problem in the field of image processing. Its difficulty lies in the non-uniqueness of the inverse process. The regularization method is a classical algorithm for blind deblurring of images, it can iteratively solve blur kernel and clear image by constructing regularization terms. However, improper values of regularization parameter and blur kernel size can easily lead to poor inverse results. In this paper, by calculating differential autocorrelation of the image to obtain the blur scale as the blur kernel size. Then, we proposed a L-like curve method to calculate the regularization parameter. Finally, these calculation results were used to deblur the image with the regularization model. The experimental results show that the proposed method can effectively achieve blind deblurring of images, and the inverse effect of a single blurred car image is obvious. It can meet the requirements of accurately identifying the license plate information of blurred car image.
On the Backwash Effect of College English Application Ability Test on Higher Vocational English Teaching

As a foreign language subject, if there is not a natural and easy learning environment as good as Chinese, it is difficult to get the best teaching effect in China. The learning effect of students is closely related to the learning process. At present, the current situation of English Teaching in Higher Vocational Colleges in China is not satisfactory, and there are still many areas to be improved and optimized, which requires us to carefully examine and study. This paper specifically expounds the backwash effect of College English application ability test on English Teaching in higher vocational colleges .It is clear that the test is established with the approval of the Ministry of education of the people's Republic of China, and the members of College English application ability test focus on the design We hope that this paper can provide a reasonable reference for the related work.
AN IMPROVED HOMOMORPHIC BASED ENCRYPTION AND DECRYPTION PROCESS ON CLOUD TEXUAL DATA

Data security in cloud computing plays a vital role in the real-time applications. Most of the traditional homomorphic encryption models are difficult to encrypt large data in the rea-time applications. Also, these models are not application to large integers for large dataset. In this work, we have optimized the traditional homomorphic encryption model with large data in realtime cloud environment. Experimental results proved that the present model has better efficiency in term of runtime in realtime cloud environment.
Teleconsultation in a pandemic due to coronavirus: Challenges for telemedicine in the post-COVID-19 era/ Teleconsulta en la pandemia por coronavirus: Desafíos para la telemedicina pos-COVID-19

After being decreed, as of March 24, 2020, social isolation and mandatory confinement began in the national territory with the aim of stopping the transmission and preventing the spread of the coronavirus as it was declared a pandemic by the World Organization of Health (WHO). The Instituto de Coloproctologia (ICO) designed and developed, together with its largest insurance company EPS SURA and through the available technologies of information, a teleconsultation program, with the aim of maintaining the activities of colorectal surgery and pelvic floor biofeedback and thus guaranteeing uninterrupted medical care and access for our patients. After twenty-five days, 626 consultations were scheduled (colorectal surgery 62 % and pelvic floor biofeedback 38 %) with a percentage of execution of 94 % and a resolution of 78%. This shows that telemedicine, like all teleworking activities, came to stay with high levels of satisfaction, in a world that will never be the same again.
Examining Parameter Estimation when Treating Semi-Mixed Multidimensional Constructs as Unidimensional.

In this study, parameter estimation error was examined when three dimensional tests of a semi-mixed structure were estimated unidimensionally. Since previous studies have generally focused on two-dimensional mixed structured tests or three-dimensional approximately simple structured tests, this study adds to the literature by considering the impact of fitting a unidimensional model to multidimensional data using a test structure that has not previously been considered. Test structure, interdimensional correlation, difficulty of the test, and different underlying distributions of ability were considered. Test length was set at 30 items for all conditions. Although test length was fixed, the number of approximately simple and complex items varied. Under all conditions for both moderately difficult and difficult tests, the lowest error values for all discrimination parameters, with the exception of MDISC, were obtained, surprisingly, with a correlation of 0.00. The lowest RMSE values for the difficulty parameter were obtained for tests of medium difficulty when the underlying ability distribution was simulated as standard normal for all three dimensions. The estimation errors associated with the difficulty parameter were greatly impacted by differences in the underlying ability distributions. Ability estimation errors associated with the unidimensional estimate of ability decreased as the correlation between dimensions increased.
A Study on Students’ Use of Punctuation Marks in English Writing – A Case Study of Nepal

The present research is focused on correct and erroneous use of punctuation marks and compares boys and girls in terms of the use of punctuation marks. It mainly focused on finding out the proficiency of the students in the use of punctuation marks in English writing. In order to fulfill these objectives, 40 students of class XI (20 boys and 20 girls) from GVN Secondary schools of Banke District, Nepalgunj, Nepal were given test items related to the guided writing. To select school, the researcher used judgmental non-random sampling procedure and to choose students, random sampling procedures were used. The researcher found that fullstop has the highest frequency (i.e. 34.42%) and slash has the lowest frequency (i.e. 1.02%) of the total use. Article visualizations: