Reviewerly/exHarmony huggingface dataset:
University students’ perceptions of computer-mediated learning during the Covid-19 pandemic

Introduction. The ongoing pandemic has made computer-mediated learning in higher education ubiquitous, often posing organizational, methodological, psychological and didactic challenges to teachers and students. The current research investigates perceptions of computer-mediated and on-campus learning during the pandemic among students in various years of study. Materials and Methods. The research was conducted at Herzen State Pedagogical University of Russia in February 2021. The participants were 81 students in all years of study enrolled on psychology degree programs which were originally “on-campus” programs. The research was conducted by means of a two-part questionnaire which was administered using Google Docs. In the first part, participants were asked to rate, based on their personal experience, computer-mediated and on-campus learning in terms of effectiveness, resource intensity and consideration of the student’s individual differences using a 5-point Likert scale. They were also asked to indicate their preferred mode of education. In the second part, participants were asked to rate their personal experience with computer-mediated learning based on a number of criteria. These criteria were content-related (quality of theoretical and practical training), social (feeling as part of the department, the university, the psychological community; degree of social inclusion/isolation; access to aid from the teachers) and organizational (comfort with the organization of the learning process, ability to self-organize). Results. The results showed that students in different years of study are guided by different criteria of computer-mediated learning effectiveness. Specifically, students in the 3rd and 4th years of study significantly more often rate computer-mediated learning (compared to on-campus learning) as more effective (p &lt; 0.01) and providing a better quality of theoretical training. In contrast, students in the 1st and 2nd years of study significantly more often think that it is only on-campus learning that can ensure a more high-quality theoretical training (p &lt; 0.01). Senior students’ assessment of their learning effectiveness correlates with the availability of up-to-date information about events at the university, the access to aid from the teachers, and the consistency of the knowledge gained (p &lt; 0.05). Conclusion. These results can be used to organize psychological and pedagogical support of the educational process in order to prevent the socio-psychological maladaptation of students in various years of study in the course of computer-mediated learning.
Executive summary

Remote schooling during the early months of the COVID‑19 pandemic salvaged education for many students. But online classes did not work for everyone. While differences in access to the Internet and digital tools have been shrinking across the OECD, PISA 2018 shows a persistent gap between disadvantaged students with lower digital skill levels and advantaged students who readily use the Internet. This contributed to greater learning losses during the pandemic for vulnerable students. As society and schools move back to more normal functioning, we will need our best teachers and digital resources to help students find their footing again. But what constitutes “good” or effective teaching? And are good teachers working in the schools that really need them?
POLITENESS STRATEGIES USED BY ENGLISH NATIVE TEACHER: A CASE STUDY IN BILINGUAL PRE-KINDERGARTEN

The study aimed at describing types of politeness strategies used in Bilingual Pre-Kindergarten in Denpasar-Bali. The research was designed as a qualitative study by employing four instruments which included the researcher as the main instrument, observation sheets, video recorder and interview guide. The finding showed that the English-Native-Speaker (ENS) teacher dominantly used positive politeness strategy in order to motivate the students in teaching and learning process with the closer relationship compared with bald on-record strategy, off-record strategy and negative politeness strategy. However, saying-nothing strategy (Don’t do the FTA) could not be found due to the age and the needs of the students in which they needed an active communication environment because it influenced their social-emotional development.
TEACHERS’ AND STUDENTS’ PERCEPTION TOWARDS ONLINE LEARNING IN ENGLISH LEARNING CLASS 10 MIA SMA MANIAMAS NGABANG IN THE ACADEMIC YEAR OF 2021/2022

This study aims to determine the perception of teachers and students towards online learning in class 10 Mia SMA Maniamas Ngabang. The writers were using descriptive qualitative as a method in this research. The subjects were 2 English teachers and 35 students in the academic year of 2021/2022. Data sources in this research were: source (informants), place, and document. The data collection techniques used were questionnaire and interview, while data analysis techniques were data reduction, data presentation, and drawing conclusion. The results of this research were: (1) The learning process was less than optimal, teachers got difficulty in assessing students’ attitudes, lack of learning media facilities, and unstable internet networks. (2) From the number of 10th grade students at SMA Maniamas Ngabang showed that 11 students were not active in participating the learning process, while 24 students were active in participating the learning. Students were unable to understand learning materials and assignments due to limited space and time, unstable internet network, limited internet quota, and there were some students who did not have android phone. (3) Online learning could make students more independent in learning, but sometime they could not learn without direct role from their teacher. Keywords: Teachers' Perception, Students' Perception, Online Learning
The Effect of the Marketing Intelligence System on Adopting the New Financial Services: An Exploratory Study of the Opinions of a Sample of Managers at Al-Rafidain Bank in the City of Mosul

The current research aims to identify the effect of the marketing intelligence system as an independent dimension, which provides decision-makers with the necessary information that helps the bank to adopt new financial services as an approved dimension.In order to achieve the objectives of the research, Al-Rafidain Bank in the city of Mosul is chosen as a sample for the research.A questionnaire form is designed for the implementation of the study .It consisted of (20) indicators to measure the variables of the research.( 50) questionnaires have been distributed on the individuals surveyed represented by the bank's workers.The research assumes two main hypotheses: the first one of which is that there is no significant effect of the marketing intelligence system in the new financial services.The study reached a set of conclusions, the most important of which is that there is a significant effect of the variable on the basis of which the research proposals are made.
Hydrogeochemical analysis, geophysical assessment and geological mapping of the recharge zone of the Guarani Aquifer system in Santa Cruz do Sul, Brazil

A large part of the Guarani Aquifer is in the state of Rio Grande do Sul (southern Brazil). Aquifer?s recharge area is in the central and western regions of the state. So, this work was focused on the municipality of Santa Cruz do Sul. Because there is no water resources plan in the state by 2022, the hydrogeochemical, geophysical properties, and geological characteristics of the aquifer recharge region were evaluated. Field data were gathered, including chemical analysis of water in different wells and geophysical surveys in refraction seismic and geoelectrical methods. In addition, geological information was obtained from the Groundwater Information System (SIAGAS) public database. The different chemical parameters were mapped to perceive some elements? concentrations in Santa Cruz do Sul according to the SIAGAS data. In addition, the seismic refraction data and geoelectric method were processed and interpreted, concatenating all these results with the geology obtained from SIAGAS wells. The existing formations and the static level of the Guarani Aquifer were mapped using geological data. A high concentration of lead in the region which is a possible aquifer was found using geophysical methods. If located in this area aquifer could be used for human, agropastoral, or industrial after treatments.
Web-based Question and Answer Method to Improve Student Achievement for Sociolinguistics Course Participants

A teaching method comprises the principles and methods used by teachers to enable student learning and it also has an important role in learning activities. In education, we will find many kinds of it. One of them that still used by the teachers is Question and Answer method. Based on the previous researches found in google scholar, this method is able to be conducted by online and nononline. Almost the results inform that the method is useful and has positive impacts for increasing the comprehension of the subjects. The writer’s research is not far different from the previous researches. The objective of this study is to increase the student’s achievement in sociolinguistics subject by using Question and Answer method based on SIMANTE application. The writer chose it due to the weaknesses of lecturing method. By this method is hoped that it will increase the student’s achievement at sociolinguistics subject. Action Research by using system management test (SIMANTE) application was selected as a method of teaching. Then tests become means of colleting the data. The collected data were analysed by using simple descriptive analysis by counting the increasing from before and after treatment. The results of the research are as follows: 1. Class average increases well, that is 60.3 before action, action in cycle I 69.25, and action in cycle II 74.25. 2. Individual acquisition also increases, 20, 36, and 40/ 3. Class acquisition increases too, 50%, 90%, and 100%. 4. Class category acquisition change, from unfinished to finished. The conclusion is by using SIMANTE application, the student’s achiement in sociolinguistics subject increases significally. Based on the results, the writer suggests that Question and Answer based on SIMANTE application is recommended for alternative method of teaching.
Practice and Effects of Programming Education Using Drones in the Agriculture Unit of the Fifth Grade of Elementary School Social Studies

This study practices programming education using a drone in an elementary school and examines the effects on understanding the necessity of using technology in the industry. Before and after the class, students were asked to respond to a questionnaire survey about their awareness of participation in rice cultivation and to describe the jobs they thought were related to rice cultivation. After the class, students were asked to describe their image of rice cultivation in free text. From the questionnaire survey and the descriptions of jobs considered to be related to rice cultivation, it was suggested that programming education using drones was effective in reminding students of the use of drones for rice cultivation and fostering a sense of participation in rice cultivation. The results of the text mining analysis of the image of rice cultivation suggest that the experience of programming education using drones promotes thinking about the necessity of using drones for rice cultivation and the necessity of future rice cultivation, such as reconsidering the role of humans. Therefore, the results suggest that the experience of programming education using drones promotes thinking about the necessity of using drones for rice cultivation and what is necessary for future rice cultivation, such as reconsidering the role of humans.
Pap-smear image segmentation and stage detection of cervical cancer using deep learning

Cancer is abbreviated as a generic term for all the diseases. This disease can be fatal if not detected at theproper time and if the diagnosis is inaccurate. The mortality rate due to cancer can be decreased if it is detected at an early stage. This paper takes into consideration the clinical analysis of the Pap-Smear results of 30 patients and uses deep learning algorithms to segment the overlapping cell with the nucleus. As U-Net architecture requires less images, so the proposed algorithm can work on a smaller number of images. Then the Support Vector Machine classifier is used to detect the stages of the cancer. For segmenting Bio medical images U-Net and Region Proposal Network is used. In the proposed algorithm we leverage the U-Net with the RPN. The training of both the network is done separately rather it is done together. The output of the combined network which are segmented cells and nucleus of cells are put into the SVM classifier for the detection of the stages of the cancer. The false positive rate, false negative rate, true positive rate and true negative rate of the proposed algorithm is compared with another existing algorithm. The comparison results are included in the end of the paper in a separate section.
Partial Differential Equation (PDE) based Hybrid Diffusion Filters for Enhancing Noise Performance of Point of Care Ultrasound (POCUS) Images

A hybrid filter is developed by combining smoothing and edge preservation properties of anisotropic diffusion (AD) filters and noise reduction features of median filtering. Mixed Gaussian Impulse noise and speckle noise are considered for analysis. The performance of this hybrid filter is verified using ultrasound images. The effectiveness of this filter is assessed with Point of Care Ultrasound (POCUS) images to verify whether the algorithm developed is applicable to them. POCUS refers to a handheld portable ultrasound instrument that can be used at patient bedside. Quantitative analysis with COVID-19 POCUS images, in terms of SNR, SSIM and MSE is performed. Results demonstrate that for all test images, the proposed filter has the best SNR, least MSE, and highest SSIM. Significant improvement in image quality is thus observed both qualitatively and quantitatively. The novelty of suggested technique is its effectiveness in reducing both mixed Gaussian impulse noise and speckle noise in ultrasound as well as POCUS images without the need for separate filters. POCUS has played a significant role in the diagnosis and management of pulmonary, cardiac and vascular pathologies associated with COVID-19. Automatic segmentation of these images and subsequent automatic detection and diagnosis are becoming increasingly popular due to the rapid development of artificial intelligence technologies. These results are useful in implementing better pre-processing prior to segmentation of ultrasound images to facilitate improved patient care.
THE SPECIFICITY OF CONFLICT ASYMMETRIES IN VIRTUAL SPACE

The article examines the meaning of virtual space and its ontological role in the interpretative representations of asymmetric armed conflict. The analysis of key asymmetries is carried out in conditions when one of the fundamental layers of being is the virtual space and the interpretations of reality presented by it.
Towards a Blockchain-based Medical Test Results Management System: A Case Study in Vietnam

The role of the testing process cannot be denied in the diagnosis and treatment of patients' diseases in medical facilities today.The results from this process help doctors and nurses in medical centers make a preliminary and detailed assessment of symptoms and provide a specific course of treatment for their patients.In addition, these results are stored as a patient's medical record that serves as a reference for subsequent therapies.However, the storage of this information (i.e., paper-based, electronic-based) faces some difficulties for both approaches.Especially for developing countries (i.e., Vietnam), this process encounters some major obstacles at health centers in rural areas.Many centralized/decentralized storage methods have been proposed to solve the above problem.Besides, the current popular method is patient-centered (all information shared is decided by the patient) can solve the above problems and be applied by many research directions.However, these methods require the user (i.e., patient) to have a background in security and privacy as well as the cutting-edge technologies installed on their phones.This is extremely difficult to apply in rural areas in developing countries where people are not yet conscious of protecting their personal information.This paper proposes a mechanism for storing and managing test results of patients at medical centers based on blockchain technology -applicable to developing countries.We build a proof-of-concept based on the Hyperledger Fabric platform and exploit the Hyperledger Caliper to evaluate a variety of scenarios related to system performance (i.e., create, query, and update).
How AI Can Be Applied in Creative Fields

In recent years experiments regarding machine creativity got more common, but it is a question existing since centuries. This paper describes how machine creativity differs from human creativity in multiple fields, including music, fine arts, and literature.
Teacher's Perception of the Synectic Model and Problem-Based Learning on Poetry Writing Skills in Class IV Elementary School

Indonesian language lessons are often underestimated as difficult, but in reality, many students do not understand Indonesian language learning, one of which is writing poetry. Writing poetry cannot be done through conventional methods because writing poetry requires a very high imagination. One of the innovations that can be done in poetry writing is the synectic model and the problem-based learning model. The purpose of this research is an exploratory study of synectic models and problem-based learning on poetry writing skills for class IV. The method used in this research is an exploratory qualitative conducted in elementary schools in the Kanjengan Cluster, Central Semarang. The results of the analysis show that teachers need innovation in learning to increase students' imagination which will later be poured into the form of poetry. One of the innovations that can be applied is to use synectic models and problem-based learning in the process of learning to write poetry.
KARAKTERISTIK KESULITAN PADA PEMBELAJARAN DARING SISWA MADRASAH ALIYAH ISLAMIYAH PONTIANAK

AbstractThe purpose of this research is to determined the characteristics of learners which has learning difficulties when online learning. This study was conducted using an qualitative research method with descriptive approach. Informants data sources used in this study were three students class X Madrasah Aliyah Islamiyah Pontianak who were determine by using purposive sampling technique. The resarch method used an intrinsic case study and data collection techniques in the form of interviews, observation and documentation studies. Analysis of data collection using the interactive model of Miles and Huberman which consists of three stages, namely reduction, presentation and conclusion. The results of this research showed that the students characteristics who experience study difficulties during the online learning process include feeling unmotivated in participating in online learning, not focusing on online learning and difficulties in understanding the subject matter. Thus, it was concluded that the characteristics of learners who have difficulty online learning are marked by changes in student learning motivation who become less enthusiastic in the learning process.Keywords: Characteristics, Online Learning Difficulties, Students
Penerapan Model Pembelajaran Quantum Teaching untuk Meningkatkan Aktivitas dan Hasil Belajar Matematika Siswa Sekolah Dasar

The purpose of this study was to determine the increase in student activity and learning outcomes in mathematics subjects after applying the Quantum Teaching. The research method used in this research is Classroom Action Research. The data collection technique used is observation to observe student learning activities while to see the increase in learning outcomes using tests. The data analysis technique used is qualitative data analysis and quantitative data analysis. Qualitative data analysis techniques were used to analyze student learning activities during the learning process. While the quantitative data analysis technique was used to analyze the score acquisition of the student learning activity observation sheet and student learning test results by calculating the average acquisition of each cycle. The results showed that the application of the Quantum Teaching provided an increase in student activity and learning outcomes. Learning activity in cycle 1 was 63.99% which then increased in cycle 2 by 79.35%. As for student learning outcomes in cycle 1 and cycle 2 of 100%.
A &lt;i&gt;N&lt;/i&gt;-party authenticated group key distribution protocol using quantum-reflection architecture

In this paper, quantum reflection security protocol is studied and an n-party authenticated group key distribution protocol based on quantum-reflection architecture is proposed. The N-AGKDP can implement identity authentication between participants and quickly distribute group key. In this protocol, a trusted third party sends the quantum sequence containing the session key through the quantum channel to the first ordered participant. And then by quantum-reflection technique, all the ordered participants can get the session key by delay line device and their own password or secret shared key with TTP. The protocol has a general structure for implementing the n-party PGKA program. In addition, we give an example of n = 3 so that readers can better understand our agreement. Compared with the traditional password-based group key protocol, our new protocol can resist the attack of quantum computers and is more secure.
Artificial Intelligence and contractual liability under Polish law. Selected issues

Background: Growing presence of artificial intelligence (AI) in the public sphere, and its ensuing ‘robot-human’ and ‘robot-environment’ interactions, can certainly affect the rules of contractual liability.&#x0D; Research purpose: The article analyses how AI and its commercialization can impact on Polish legal regulations governing contractual relations and the contractual liability. The purpose of this article is to present the issue of the AI impact on the conclusion and performance of contracts in Polish civil law, with particular emphasis on contractual liability arising in this context, as well as potential problems associated with it, not only for parties to a contract, but also for lawyers who have to face a puzzle of finding legal solutions to technological progress making real mechanisms that until recently have been treated in science-fiction categories.&#x0D; Methods: The analysis is based on the dogmatic and legal method.&#x0D; Conclusions: It is necessary to distinguish between situations where artificial intelligence is a subject of the contract, and cases where artificial intelligence is a party to the contract. In the former case, it seems that the current general provisions on contractual liability, as well as the provisions governing individual contracts, can be used to a considerable extent. However, contractual liability seems to be much more problematic when a robot is a party to the contract. This issue is inseparable from the developing of intelligent robots (artificial intelligence) and possibly the granting of legal personality to them&#x0D;