Reviewerly/exHarmony huggingface dataset:
Modernization of Traditional Educational Forms in the Context of Distance Learning

The research aims to reveal the contradictions and issues of higher education in the context of a rapid digital transformation related to the pandemic. We carry out a comparative analysis of students’ academic performance in traditional, distance, and mixed educational formats. Based on the analysis of the literature, teaching practice, and the survey conducted with students, we revealed that despite the visible increase in academic performance during online studying and mixed learning environment, issues regarding technical equipment, stable Internet connection, students’ non-involvement in the educational process, the change of their priorities in favor of part-time job or even the complete loss of communication with the university became more complicated. We conclude that improving the traditional educational form towards more effective ICT adaptation to lectures is crucial, including practical and laboratory classes. It is necessary to conduct classes in a digital format, despite the presence or absence of a pandemic. The mixed learning format will allow us to combine the advantages of traditional and distance learning.
Analysis of the use of the Python programming language for statistical calculations.

This article presents a review of the use of Python for data analysis. It discusses the main specialized libraries and the advantages of using Python for data analysis. Also, the main phases of data analysis are explained in general and in an example with the programming language. It is concluded that Python presents multiple advantages in its use and that in spite of being an open source software, it allows professional and sophisticated work in data management and statistical calculations.
Block Matching Algorithms for the Estimation of Motion in Image Sequences: Analysis

Several video coding standards and techniques have been introduced for multimedia applications, particularly h.26x series for video processing. These standards employ motion estimation process for reducing the amount of data that is required to store or transmit the video. Motion estimation process is an inextricable part of the video coding as it removes the temporal redundancy between successive frames of video sequences. This paper is about these motion estimation algorithms, their search procedures, complexity, advantages, and limitations. A survey of motion estimation algorithms including full search algorithm, many fast search, and fast full search block-based algorithms has been presented. An evaluation of up to date motion estimation algorithms, based on a number of empirical results on several test video sequences, is presented as well.
EDUCATION 4.0: HYBRID LEARNING AND MICROLEARNING IN A SMART ENVIRONMENT

The term "4.0" refers here, as in all areas whether Industry 4.0, Work 4.0, or Society 4.0, to the paradigm of digitalization and support through new technologies. In the last few years, education and training are becoming more closely related to the labor market, and so the goal is to foster competent learners to meet the core skills for life and work in the 21st century. Building such a future-ready education system requires the design of curricula, that impart the necessary knowledge and skills for the modern workplace. The various pedagogical and technological innovations in recent years have created new concepts of learning environments, that optimize learners' ability to learn. They are commonly referred to as "smart learning environments". Innovative education based on advanced technologies should focus on stimulating thinking and creativity and address the individual differences of learners. The purpose of this paper is twofold. First, combines some educational concepts such as micro and hybrid learning with the support of immersive technologies to develop smart learning environments for a personalized and gamified seamless learning experience. Second, demonstrates how the concept of Micro-hybrid-immersive learning enables a seamless transition between school and the world of work and achieves educational inclusion.
Investigation of the Relationship between Academic Competencies and Social Information Processing of 60–72 Month-Old Children

Starting from the preschool period, children need to grow up as individuals with high academic skills, academic enablers and respond positively to their social situations. Academic skills and academic enablers together constitute academic competence. The positive reaction of children to the problems they face constitutes social information processing. This study aimed to examine the relationship between the academic competencies of 60–72-month-old children and their social information processing. The study was designed with the relational survey method. The study group consisted of 132 children aged 60–72 months with normal development who attend preschool education. The data collection tools of the study are as follows: Personal Information Form, The Social Information Processing Interview–Preschool Version, and Teacher Rating Scales of Early Academic Competence. Spearman's rank-order correlation test was used to evaluate the relationship between the scales. The findings of the study revealed that there is a relationship between the interpretation of cues and response decision, which are subdimensions of the social information processing model, academic skills (numeracy, early literacy, thinking skills, and comprehension) and academic enablers (social-emotional competence, approaches to learning, and communication).
Sedimentary and mineralogy characteristics of late quaternary sediments, Garmian area, Kurdistan Region, NE Iraq

The quaternary sediments have been studied in four sections; Garmian area, Kurdistan Region, North East Iraq, which are multi-features, multi-sources, and variable lithological compositional characteristics. The grain size granulometry was used and identified, gravel, sand and mud. Gravel-sized particles are partially producing a greater amount than sand and mud size in both sections (Sar-Qallah-1 and Salih-Agha). Statistical parameters such as (mean, mode, sorting, skewness and kurtosis), have shown that the sediments are very poorly sorted, very fine skewed and platykurtic. Petrographic studies of sediments under polarized microscope investigated that these sediments are predominately consisting of (chert and carbonate rock fragments), with the existence of few amounts of igneous and metamorphic rock fragments, feldspar and monocrystalline quartz. These fragments types are an indication of multiple source rocks originate from Ophiolites and thrust sheets from the Penjween area (North Iraq). Various types of heavy minerals are identified; opaque (hematite and pyrite), and nonopaque minerals (pyroxene, amphibole, epidote and zircon). X-ray diffraction technique is used to interpret clay mineralogy which indicates that chlorite and palygorskite are the main clay mineral with the presence of non-clay minerals such as quartz and calcite.
New Insights and Different Economic Factors in Banking Sectors and Current Challenges

A well-developed banking system is prerequisite for a fast-growing economy. The introduction of financial instruments is a collaborative effort that pits the results of analysis of the banking sector's development and impact on the economy against basic regulatory standards and approaches to state regulation of the financial system's development and banking subsystem. Banking sectors, according to economic literature, play an intermediation role by enabling money transfers between fund-suppliers and fund-demanders. This can be accomplished by attracting savings and then directing those funds into loans to fund various economic activities, resulting in economic growth (EG). Every bank has its own internal component that affects financial performance in a particular way the more efficient a country's financial sector develops, the more likely its limited resources will be channeled to the most productive use. Openness in the banking sector may have a direct impact on growth by enhancing access to financial services and indirectly by improving the efficiency of financial intermediaries, both of which lower the cost of financing and, as a result, encourage capital accumulation and economic growth. A variety of macroeconomic links, notably the one between financial development and long-run growth, have been studied using cross-country regressions. Microeconomic explanation differs from the traditional perspective, which sees financial intermediaries as a bridge between borrowers and lenders' differing interests in terms of the size, maturity, and risk of a financial investment.
DRI-MVSNet: A depth residual inference network for multi-view stereo images

Three-dimensional (3D) image reconstruction is an important field of computer vision for restoring the 3D geometry of a given scene. Due to the demand for large amounts of memory, prevalent methods of 3D reconstruction yield inaccurate results, because of which the highly accuracy reconstruction of a scene remains an outstanding challenge. This study proposes a cascaded depth residual inference network, called DRI-MVSNet, that uses a cross-view similarity-based feature map fusion module for residual inference. It involves three improvements. First, a combined module is used for processing channel-related and spatial information to capture the relevant contextual information and improve feature representation. It combines the channel attention mechanism and spatial pooling networks. Second, a cross-view similarity-based feature map fusion module is proposed that learns the similarity between pairs of pixel in each source and reference image at planes of different depths along the frustum of the reference camera. Third, a deep, multi-stage residual prediction module is designed to generate a high-precision depth map that uses a non-uniform depth sampling strategy to construct hypothetical depth planes. The results of extensive experiments show that DRI-MVSNet delivers competitive performance on the DTU and the Tanks &amp; Temples datasets, and the accuracy and completeness of the point cloud reconstructed by it are significantly superior to those of state-of-the-art benchmarks.
Project-based learning in teaching speaking to young learners: Is it effective?

Students� disfluency in speaking is caused by limited practice, incorrect pronunciation, and inappropriate learning methods. That of the last point drove this research in finding out the effectiveness of using Project-based Learning (PBL) to improve students� speaking skills. The study participants were 59 students of the seventh graders of SMP Muhammadiyah 1 Kudus, divided into the experimental and the control classes using a quasi-experimental research design. The data were obtained from the pre-test and the post-test. The results showed that the students� speaking ability mean scores in both classes were higher in the post-test than in the pre-test. In addition, the independent sample t-test supported the result in the hypothesis testing. It means that project-based learning applied had a significant difference or effective to improve young-learner students� speaking skills. To conclude, using this method created more fun, active, and interactive speaking class atmosphere for young learners.
Construction of a Health Management Model for Early Identification of Ischaemic Stroke in Cloud Computing

Knowledge discovery and cloud computing can help early identification of ischaemic stroke and provide intelligent, humane, and preventive healthcare services for patients at high risk of stroke. This study proposes constructing a health management model for early identification and warning of ischaemic stroke based on IoT and cloud computing, and discusses its connotation, constructive ideas, and research content so as to provide reference for its health management in order to develop and implement countermeasures and to compare the awareness of early stroke symptoms and first aid knowledge among stroke patients and their families before and after the activity. The rate of awareness of early symptoms and first aid among stroke patients and their families increased from 36% to 78%, and the difference was statistically significant ( <math xmlns="http://www.w3.org/1998/Math/MathML" id="M1"> <mi>P</mi> <mo>&lt;</mo> <mn>0.05</mn> </math> ) before and after the activity.
Problematic Technology Use: The impact of personality and continued use

Modern software development depends on tools and techniques to represent implied information processing logic to the human engineer, relying chiefly on effortful human reasoning to best determine critical properties of the software system. Current conceptualization, visualization and contextualization of software in development amounts to a significant under-utilization of already limited development resources directed to optimization, prevention, and addressing fundamental security properties of the software system. As a step toward increasing such utilization as a basis for a global ecosystem of secure software, this work explores and evaluates an alternative representation of software source code for the sake of secure development, manifesting universal, critical properties of the system to enhance control of security factors while the bulk of the properties of the system are being determined and the costly skills of the developer are directed to the many aspects of the task.
Integrating Question Answering and Text-to-SQL in Portuguese

Deep learning transformers have drastically improved systems that automatically answer questions in natural language. However, different questions demand different answering techniques; here we propose, build and validate an architecture that integrates different modules to answer two distinct kinds of queries. Our architecture takes a free-form natural language text and classifies it to send it either to a Neural Question Answering Reasoner or a Natural Language parser to SQL. We implemented a complete system for the Portuguese language, using some of the main tools available for the language and translating training and testing datasets. Experiments show that our system selects the appropriate answering method with high accuracy (over 99%), thus validating a modular question answering strategy.
Trend of Radical Innovation Research

This research aims to visualise the state of the art of radical innovation research that furthers research in this topic.Radical innovation research has increasingly been raised since information technology was used in business, but it has not matured.Radical innovation contributes to the high number of research published in recent years.However, there is still limited research focusing on analysing radical innovation in the last decade.This research shows that as many as 1,568 datasets were derived from Scopus databases and visualised using the R-studio bibliometrics packagebiblioshiny.This research also presents the potential topics for future study based on the trend topics, co-occurrences, and historical network.
Application of the Talking Stick Cooperative Learning Model in Improving Student Learning Outcomes

The purpose of this study was to improve student learning outcomes through the application of the talking stick cooperative learning model in social studies class IV at SDN 11 Limboto Barat. This type of research is Classroom Action Research. In the initial observation, there were 15 students who completed 54%. After the first cycle of action was carried out, it increased to 21 students who completed 75%, who had not completed 7 students or 25%. The implementation of the second cycle that was completed increased by 26 students, 93% and those who had not completed 2 students or 7%. Based on the results of the research conducted, it can be concluded that the talking stick cooperative learning model can improve student learning outcomes in social studies learning in class IV SDN 11 Limboto Barat.
Pluriverse Skins DIY Bio-Production. For a Post-Anthropocentric Coexistence

By developing practice-based research, through critical and speculative design methodologies, we propose a definition of “skin” not as a univocal boundary of subjective bodies (animal, plants, or other creatures), but as a pluriverse membrane of connection across and between species. Deeply inspired by holistic and posthuman philosophical approaches (such as Braidotti, Pannikar, Escobar, Coccia), the ongoing research feeds such a definition of “pluriverse skins” by experiments on bio-media and the relative speculative scenarios. We present three aspects of the study: a) preliminary reflection about how design is affected and transformed by ecological notions; b) design experiments in bio-media to create skins that can unfold as the carrier of new forms of ecological awareness; c) discussion about the aesthetic of bioskins and implication for the notion of a new post-anthropocentrism at large. Pluriverse Skins offers an alternative look into biomaterials, by the means of practical and speculative investigation: in the paper we discuss how such an approach could contribute to reshaping the meaning of bio production, within the emerging post-anthropocentric paradigm.
MORAL VALUES IN ENGLISH TEXTBOOK: “WHEN ENGLISH RINGS A BELL”

This research was aimed to know about moral values in the textbook. Textbooks were analyzed by using critical discourse analysis (CDA) data was obtained through analyzing the whole texts. This study attempts to examined the moral values which appeared in the English textbook "When English Rings a Bell" for seventh of Junior high school or equivalent based on the curriculum and presidential decree to teach character education to students, which included 18 moral values and to describe the moral values represented in the practice of conversational texts. It was designed as content analysis in the form of descriptive qualitative research. The result of this study were (1) The most apparently of moral values found in the English textbook were social awareness, curiosity, and responsibility, and (2) Moral values in English textbook was found in the conversation text through implicitly in the form of a moral message conveyed by the writer. it can be concluded that the authors of this textbook focus more on social values such as social awareness, curiosity, responsibility in the form of teaching moral values as character education for students at an early age. Then, the textbook was contained the moral values based on the presidential decree about character education. The textbook was quite good, but it can be improved. Keywords: Moral Value, English Textbook, Critical Discourse Analysis
Trust for Big Data Usage in Cloud

Integrating big data with an agile cloud platform can significantly affect how businesses achieve their objectives. Many companies are moving to the cloud, but the trust issue seemed to make a move to the cloud slower. This paper investigated the factors that affect Service Satisfaction that led to Trust. Since the sample was not normally distributed, the researchers used the PLS-SEM tool to analyse the relationship of the variables. The variables are Data Security, Data Privacy, Cloud Benefits, Reputation, Service Level Agreement (SLA), Risk Management, Service Satisfaction and Trust. The variables were linked together based on the analysis from qualitative research supported by theories, and the linkages were being validated through quantitative data analysis. The quantitative data analysis found that Data Security, Cloud Benefits, Reputation and SLA influence Service Satisfaction and Service Satisfaction influences trust.
Fuzzy Method Design for IoT-Based Mushroom Greenhouse Controlling

The ideal conditions for the oyster mushrooms growth are at a humidity of 65-75% and 29-31C during incubation, while the growth of stems should be at a humidity of 70-90% 29-32C. This ideal ecosystem is maintained by aeration and manual watering. Still, the results are not optimal in preventing damage to the mycelium during the incubation period, resulting in a decrease in crop yields. Automatic control has not created ideal conditions because air temperature and humidity regulation are only based on fans and sprayers that do not directly affect air conditions. Therefore, we need a method to manipulate the mushroom greenhouse space ecosystem, namely fuzzy logic, the application of fuzzy logic integrated with sensors, actuators, and microcontrollers with the Internet of Things to solve this problem. The results of the installation of fuzzy logic in the mushroom's greenhouse in this system can be seen from the fan's modulation response and the pump's duration. The test results of this control feature can manipulate temperature and humidity. Therefore, the oyster mushroom greenhouse produces an ideal state of 29.8C, the humidity of 68.97% RH, and the production has been proven to be optimal with an average daily harvest of 3.8kg.
Augmented Reality Applications in Education: Arloopa Application Example

Arloopa is an augmented reality application that enables the integration of digital content such as images, sounds, texts into real world environments. By another definition the Arloopa app is an AR visualization tool that brings the physical and digital worlds together as one. Arloopa is an augmented reality (AR) and virtual reality (VR) app and game development company which provides advanced AR and VR services, such as: cloud-based augmented reality services, custom branded augmented reality app and game development, virtual reality app and game development, 2D and 3D content creation. In this study, the integration of Arloopa application into educational environments and application examples are presented within the scope of augmented reality applications course at a government university in Turkey. In addition, in this research, the presentation of the Arloopa application within a course unit and tips will be given to be used in future research on the integration of the application into education. At the end of the process, an interview form was prepared to determine opinions from the students about the Arloopa application and the use of augmented reality applications in education in general. The interview form prepared by the researcher was applied to 27 students within the scope of the course. According to the results obtained; the students found the use of augmented reality applications in education useful in terms of making the lesson fun, providing permanence in learning, and improving creativity skills. Despite all these positive aspects, the fact that some apps are salaried is accepted as the biggest limitation.