Reviewerly/exHarmony huggingface dataset:
Metrics and Indicators of Online Learning in Higher Education

This article aims to present research regarding the effectiveness of online learning within the domain of Higher Education, as well as to suggest means of measuring it within other contexts of online learning. The research’s purpose consists on identifying and analyzing different environments and practices of online learning, as well as how to proceed with its measurements, with the intent of involving its different stakeholders in decision-making processes for quality improvement within such learning practices. This study is based on a bibliographic review with the purpose of providing solid answers to the following research questions: (Q1) What are the Higher Education contexts in which online learning can occur? (Q2) What are the key metrics that allow us to measure the effectiveness of online learning in Higher Education? The results that were found from the literature review identify that the contexts of online learning constitute themselves as innovative pedagogical models that empower students, facilitating and promoting their learning process (Q1). Furthermore, the main metrics regarding the different Pedagogical and Technological Dimensions, in respect to the domain of Higher Education, and the realization of the importance of its measurement within various dimensions, and for the multiple elements inherent to learning processes, have also been identified (Q2). The dynamics of digital learning in Higher Education are framed by the contexts and processes in which they take place, they are also mobilized by its actors, and become measurable, through indicators and metrics which constitute themselves as core moderating elements for the success of online education in this domain.
From Upgrades to Trade-ins: Behavioral Motives and Environmental Impact

Durable goods manufacturers increasingly choose to offer trade-ins rather than upgrades to facilitate replacement purchases. With a rational consumer behavior model, the two schemes are equivalent and yield the same profit for the manufacturers. From a behavioral perspective however upgrades and trade-ins evoke different mental frames (buying versus selling, respectively) within which consumers anchor on different reference points to evaluate a replacement offer. A manufacturer can then manage consumers’ reference point and replacement decision making process by carefully designing its production and pricing policies within each scheme. We find that with upgrades, the manufacturer has incentives to offer the current version alongside the new version as the current version’s price provides the optimal reference point to evaluate the upgrade offer. However, with trade-ins, the manufacturer discontinues the current version and relies on the secondary market's price for managing consumers’ reference point. Comparing the two schemes, we show that trade-ins increase manufacturers’ profit and improve the reuse ratio of products which we define as the volume of replacement purchases to the total volume of production. Further, our numerical analysis illustrates that manufacturers benefit from consumers' reference-dependent behavior, and that the optimal profit increases in the disparity between owners’ and buyers’ valuations of secondhand products as reference effects become stronger. The total volume of production however is generally higher with trade-ins.
One-shot Learning of Fusion Model in Patient Identity Recognition in ICU Ward

The number of patients in the ICU ward is relatively small, if traditional deep learning is used for access control recognition. You need to use a large number of data sets, which will inevitably consume a lot of time. And One-Shot Learning can realize only one or several different facial expression images of each patient. Then the identity of the current patient can be correctly identified. This method has huge advantages over traditional deep learning methods that require hundreds or thousands of samples. This paper combines Resnet152 to complete the extraction of facial features, and then uses the twin network composed of Resnet152 to generate the facial similarity calculation function. Use the face data set to train the formed twin network, and then collect a facial image of each patient in the ward to make a support set. Support Set does not need to participate in network training. It can directly compare the similarity with the currently queried picture. Support Set can be added and deleted according to the latest patients in the ward, which will not affect the accuracy of the system. The generated similarity calculation function is used to calculate which face in the current support set is most similar to it, thereby determining the identity of the current person.
The significance of the emotional intelligence of a university teacher for students

The transfer of education into the sphere of rendering services expands the status of a university teacher with the relevant competencies of a manager of educational interaction. The recognition of emotional intelligence as one of the main components of the professional success of a modern specialist actualizes the need to develop the skills of understanding and managing emotions in a university teacher. The research problem is the awareness of the need for the development of emotional intelligence in a university teacher. The purpose of the research is to determine the significance for students of the presence of basic skills of emotional intelligence in a teacher. The research methods are questioning, analysis, synthesis, generalization. The results of the study are as follows: a questionnaire has been developed on the basic communication skills of emotional intelligence; students' survey has been conducted to identify their attitude to a teacher's emotional competence; the following skills have been prioritized: to address them by name; to be friendly when communicating; to give emotional color to the material presented; do not interrupt students in the process of communication; to be able to feel his emotional state and, on the basis of this, to build communication with him. Key conclusions: students are aware of the need for a teacher to carry out professional activities based on emotional intelligence; they expect a positive manifestation of his emotional competence associated with interpersonal interaction; remote learning mode actualize the competent manifestation of the emotional intelligence of the teacher, performing a compensatory function in remote interaction.
MENERAPKAN KONSEP DASAR DALAM MEMBACA DENGAN METODE TUTOR SEBAYA DALAM RANGKA MENINGKATKAN KEMAMPUAN MEMBACA PEMAHAMAN SISWA KELAS IV DI SDN 4 MONTONG BETOK TAHUN PELAJARAN 2020/2021

Applying Basic Concepts in Reading with the Peer Tutor Method in Order to Improve Reading Comprehension of Grade IV Students at SDN 4 Montong Betok for the 2020/2021 Academic Year. This study aims to determine student learning outcomes through the Peer Tutor Method, in learning Indonesian. This research was conducted in the form of Classroom Action Research. The stages carried out are: Action Planning, Action Implementation, Evaluation/Observation and Reflection. The subjects of this study were fourth grade students in the odd semester of the 2020/2021 academic year. as many as 29 people. The research data are: (1). Student learning outcomes are collected through learning outcomes tests. (2). Student activities were collected through observation guidelines. Data were analyzed descriptively qualitatively. From the results of data analysis, it was found that the increase in students' reading ability can be seen from the increase in the average and completeness of student learning from cycle I to cycle II. In the first cycle the average score of students is 67.5 and in the second cycle the average value is 75.44, or it can be seen that the calculation of the percentage of classical completeness from the first cycle to the second cycle is 62% to 85%. Students who completed the first cycle were 21 students while those who did not complete were 13 (38%) people. But in the second cycle, 29 students (85%) completed and 5 students did not complete (15%). Based on the results of the data above, Peer Tutors can be used as a strategy in the learning process.
A Rapid Image Semantic Segment Method Based on Deeplab V3+

As one of research directions in the fields of image processing and computer vision, image semantic segmentation classifies images by pixel for semantic comprehension. Due to the lack of a general theory of segmentation, conventional image semantic segmentation algorithms are mostly on the strength of specific image models, so a variety of methods develope with their respective range for using and relative merits. What’s more, it’s a pity that most of them can only use the underlying features to generate simple segmentation results of foreground and background. Since the breakthrough in deep learning at the ImageNet competition in 2012, convolutional neural networks have taken every field of computer vision by storm. Image semantic segmentation has broken through the limits of traditional methods rapidly after the integration of deep learning. After making use of convolutional neural networks, its accuracy for segmentation has been improved effectively so that image semantic segmentation at present can further meet the requirements of segmentation technology in different application scenarios. In recent years, it has developed rapidly and gradually become a research hotspot. This paper mainly studies the image semantic segmentation methods about Deeplab series based on deep learning and raises a lightweight model for semantic segmentation based on Deeplab v3+. Regarding MobileNet as backbone to extract features, it makes use of atrous spatial pyramid pooing to gain global multi-scale features. Then the decoder structure concatenates multi-scale features and low-level features to enhance the expression for spatial features and improve its performance. After sufficient experiments on PASCAL VOC using the fast semantic segmentation model, the result reveals that it obtains a good balance between accuracy and speed.
Mathematics Integration on the Development of a 3d Action Role-Playing Game: The Light of End

The game entitled “Mathematics Integration on the Development of a 3d Action Role-Playing Game: The Light of End” used a 3d graphic presentation of characters, equipment, quest and monsters that were rendered using two powerful software: Unreal 4 and Blender 2.8. The researchers developed the base gameplay systems in C++ using Unreal 4. It is an action role-playing game with a combination of mathematical operations like addition and subtraction that the players need to solve to gain player’s stamina during combat battle. This helped gamers and students in the study of simple addition in mathematics because they need to answer the problems as quick as possible. The action role-playing game is based on the Philippine myths where characters like IbongAdarna, AnitunTabo, Maria Makiling, Bathala and Sitan were created, and proper blending / textures were carefully applied. This game has an open world where various quests can be selected like Forest, Caves, Castle and Ice Lands. Each quest contains different monsters and Boss. The player’s goal is to destroy or kill all the monsters and the final stage is to defeat the Boss during combat battle. Solving the addition problem that will appear during the battle will help the player to regenerate stamina that will surely help in defeating the Boss. Thus, this action role-playing game helped the player to develop critical thinking skills by solving addition problems and continue the quests successfully. Various assets / materials for the player to use were carefully designed and proper effects were applied. The game can be accessed even without internet connection. This is good for those students or players that would like to play the game but lack of data or no access to internet. Rad Methodology, which serves as a guide and steps in the development of the framework, was used by the researchers. Under Rad Methodology, the researchers cautiously followed activities under each phase: Planning for requirements, User Interface Design, Construction and Cutover. The evaluation of the respondents included seventeen (17) IT professionals, fifty-four (54) IT students, twenty-eight (28) Bulacan State University (BulSU) students, and ninety-one (91) non-BulSU students. It also demonstrates the interpretation of the mean distributions, which varies from Bad, Fair, Good, Very Good, and Excellent as the highest interpretation. The researchers devised an assessment instrument that is based on the Software Quality Model following a five-point Likert scale. The game got a computed total mean score of 4.76 with an Excellent evaluation.
black hole sun

black hole sun Jeremy Paden (bio) excellent, let's talk about the stars, Luis,let's talk about lights & their satellitesway up in the sky, & let's talk about your namethat comes from luster, from something bathedin light, like the moon or like a clear nightdressed up in a petticoat of spikenardoh satellite, satellite of love, there,high in the night sky, colored like a plum—we walked out with naked feet on the frostyground of the garden at 4 in the morningto watch the moon, as that shadow passed, blushfrom a solar hug, thank you for the metaphor,the early hour brought to mind when my wife& kids & a friend of our daughter & Ileft Lexington before sunrise to arrivein Hopkinsville just after first lightbecause on that 21st of August, minutesafter midday, a pas de deux was to beginthat would culminate at 1:24 pmwith a sun completely darkened by a 3minute kiss, like that long, slow kissbetween Ingrid Bergman & Cary Grantin Notorious that mocked the Hays Codes—hundreds of us had gathered in the field& all of us were left breathless, my parents,who had driven 10 hours to be with us,responded to that sacred spectacleby singing psalms once they had their voice—yes,of course, these are utterly natural forces,this attraction that keeps star & satellite,planet & moon in orbit, that work to line up [End Page 37] these 3 enormous bodies, they are undeniablycommon, everyday & outright holy—I remainedsilent, agape, to quote your namesake(that gardener & school teacher LudwigWittgenstein), when faced with what wecannot name, silence... eclipseshave their fan clubs, their Dead Heads,who go from show to show chasingthe high, & I wonder, how many faithfulwill have congregated today, December 4,in the Antarctic, how many pilgrimswill have made the journey to witness the kiss,that moment when the moon dresses upin the ring of fire of that black hole sun [End Page 38] Jeremy Paden Jeremy Paden was raised in Nicaragua, Costa Rica, and the Dominican Republic. He is a poet, translator, and professor of Latin American literature at Transylvania University in Lexington, Kentucky. He is the author of four collections of poems. Among these, ruina montium, about the 2010 Chilean mine collapse, has been published in both English (Broadstone Books, 2016) and Spanish (Valparaíso, 2018). He is also the translator for various poets from Argentina, Chile, Colombia, and Spain. Copyright © 2022 Berea College
Applying Efficient Selection Techniques of Unlabeled Instances for Wrapper-Based Semi-Supervised Methods

Semi-supervised learning (SSL) is a machine learning approach that integrates supervised and unsupervised learning mechanisms. This integration may be done in different ways and one possibility is to use a wrapper-based strategy. The main aim of a wrapper-based strategy is to use a small number of labelled instances to create a learning model. Then, this created model is used in a labelling process, where some unlabelled instances are labelled, and consequently, these instances are incorporated into the labelled set. One important aspect of a wrapper-based SSL method is the selection of unlabelled instances to be labelled in the labelling process. In other words, an efficient selection process plays an important role in the design of a wrapper-based SSL method since it can lead to an efficient labelling process, and in turn, the creation of efficient learning models. In this paper, we propose the use of three selection methods that can be applied to wrapper-based SSL methods. The main idea is to use two different selection criteria, prediction confidence or classification agreement with a distance metric, to perform an efficient selection of the unlabelled instances. In order to assess the feasibility of the proposed approach, the selection methods are applied in two well-known wrapper-based SSL methods, which are: Self-training and Co-training. Additionally, an empirical analysis will be conducted in which we compare the standard Self-training and Co-training methods against the proposed versions of these two SSL methods over 35 classification datasets.
Empirical Investigation in Embedded Systems: Quality Attributes in General, Maintainability in Particular

The quality of software systems is an important aspect especially for embedded systems, thus strategies and actions for analysing the trade-off between various quality attributes need to be improved. To satisfy multiple quality constraints, an important concern refers to safeguarding the level of critical qualities against other non-critical ones starting with the design phase by applying best practices, standards, and actions.The aim of this investigation is twofold: first, to determine which quality attributes are important in embedded systems, and second to inquire maintainability in particular, emphasizing on the practices that are associated with, i.e., coding rules, conventions, documentation, code review, and refactoring. Qualitative and quantitative analysis are used to extract information from two data collection sources: interviews with managers and survey for developers.Our work recognizes various quality attributes as being important in embedded systems with different priorities and analyzes which maintainability related activities are important, investigates when these practices are put into action in embedded projects, and proves a good interrelation between management and development in regards to quality aspects.
The level of use of biometric methods in Russian periodicals

The level of the use of two biometrical methods most frequently applied in Russian biological and medical periodicals is analyzed. The data are based on material processing of more than 100 issues of magazines of 19 names. The sequence of magazine names according to their biometrical rating is proposed.
Penerapan Sistem Pembelajaran Interaktif Berbasis Augmented Reality Khusus Difabel

Education is a necessity that must be possessed by every human being, regardless of whether normal or disabled, especially for the disabled. This research aims to improve the quality of education for the disabled by providing confidence and the ability to receive lessons to be more interesting and interactive about what is conveyed by the teacher. The application of information technology in interactive learning systems is very helpful in the learning process for people with disabilities. The latest technology used in the delivery of information is the technology of Augmented Reality (AR). AR is a technology that combines three-dimensional (3D) virtual objects into a real three-dimensional environment at the same time. The 3-dimensional model is commonly used as a teaching aid to make students better understand the material provided. AR provides a more realistic interaction and is a progress of a promising technology method that can motivate users to engage in a more active learning system. Augmented Reality can be built using the help of Vuforia and Unity 3D software. In this study explains the basic concepts of making AR applications, with the Marker Based Tracking method. While the development model used is the waterfall model which consists of five phases, namely analysis, design, implementation, testing and maintenance. The results of this study are interactive learning media applications with Augmented Reality that will be used by the disabled, especially in the city of Bandung and in general in all schools in Indonesia, through their supervisors, and the results of this study serve as a comparison for other researchers in the selection of topics, studies, the method to be applied
Psychological and pedagogical features: the use of digital technology in a blended learning environment

The article highlights the problems of the digitalization of the educational process, which affect the pedagogical cluster and are of a psychological nature. The authors investigate the transformational changes in education in general and the individual beliefs of each subject of the educational process, caused by both the change in the format of learning (distance, mixed), and the use of new technologies (digital, communication). The purpose of the article is to identify the strategic trend of the educational process, which is a synergistic combination of pedagogical methodology and psychological practice and avoiding dialectical opposition of these components of the educational space. At the same time, it should be noted that the introduction of digital technologies in the educational process allows for short-term difficulties, which is a usual phenomenon for innovations in the educational sphere. Consequently, there is a need to differentiate the fundamental problems and temporary shortcomings that are inherent in the new format of learning (pedagogical features). Based on the awareness of this classification, it is necessary to develop psychological techniques that will prevent a negative reaction to the new models of learning and contribute to a painless moral and spiritual adaptation to the realities of the present (psychological characteristics). The methods used in the study are divided into two main groups: general-scientific, which investigates the pedagogical component (synergetic, analysis, structural and typological methods), and general-scientific, which are characterized by psychological direction (dialectics, observation, and comparative analysis). With the help of methods disclosed psychological and pedagogical features of the process of digitalization of education in a mixed learning environment. The result of the study is to develop and carry out methodological constants that will contribute to the synergy for the new pedagogical components (digital technology) and the psychological disposition to their proper use (awareness of the effectiveness of new technologies). So, the digitalization of education has demonstrated its relevance and effectiveness in the pedagogical dimension in the organization of blended and distance learning under the constraints of the COVID-19 pandemic. The task of the psychological cluster is to substantiate the positive aspects of the digitalization of the educational process.
Teachers’ Perceptions on Secondary English Education in the COVID-19 Pandemic Era

This study examined the secondary school teachers’ perceptions on English classes during the COVID-19 Pandemic era. Through in-depth interviews, the 8 participating teachers shared their experiences and perceptions on online and off-line classes. While each class mode had both pros and cons, they perceived that online classes were less effective than off-line classes on student learning. As there was little interaction between the teacher and students, it was difficult to assess students’ class participation and understanding in online classes. However, the impact worked differently depending on their proficiency and motivational level. Students with high proficiency and motivation tended to enjoy pre-recorded classes because they could study at their own pace, with repetitive viewing. Therefore, classroom teachers should be mindful of the pros and cons of each class mode as well as students’ learning styles and their proficiency level.