Reviewerly/exHarmony huggingface dataset:
PERSONALITY-ORIENTED APPROACH TO STUDY: PROS AND CONS

Background: New trends in the educational sector development are caused by the transformation of the society's socio-economic structure and by values changing. New tendency and pandemic conditions especially require more lability. It gives and more possibilities and more problems at the same time. Materials and Methods: It have been noted individual learning forms are not strange for most people. We have learned the pros and cons of the individual learning systems in front of both teacher and student. Results: The construction of the individual educational system is an urgent task of modern education. The development of information and communication technologies that took place at the end of the previous century has triggered global alterations, and the new interpretation of educational processes too. The individual approach is the most effective realization of the competency model because of its centered around each individual with his singularities. The article proposes to analyze the advantages and disadvantages of the individual approach through the scheme: analysis of its base, components,and formulation of different tasks for each student. Discussions and Conclusions: Our outcomes demonstrate there is no single right, any learning form has its pros and cons. It depends on the learning direction, learning stimuli of the student, and teacher's proper to be in lability and new tendency
DEVELOPMENT OF STUDENTS CREATIVE ABILITIES

The article examines the formation of creative thinking in students in technology lessons. In the formation of creative abilities, the choice of forms of organizing work in the lesson is of no small importance, the content of the selected forms, the classification of lessons and the task of the teacher are revealed.
Mango Fruit Image Enhancement using Convolution Filters for Automatic Fruit Sorting Machine

In this modern era transmission of digital images are becoming a major method of communication. Errors in image acquisition process is based on noise and they do not duplicate the accurate intensities of the exact scene. This image used as an input for decision making. To produce high quality image, noise should be removed by using suitable algorithm. There are various types of noises that degrades the image such as salt and pepper noise, Gaussian noise and Poisson noise, it’s necessary to have knowledge about the noise present in the image.  The paper proposed a new algorithm “Convolution Filter (CMF)”. This approach has been proved that to have better PSNR value to remove the noise in digital image when compared to the other existing algorithms.
Developing and conducting classes using video tutorials

This article discusses the issues of developing and conducting lessons using the method of video lessons. The stages of organizing video lessons during the distance learning are provided.The article discusses the video lesson itself in different ways, for example, the following three types of lessons can be distinguished:a lesson on the introduction (explanation) of new material; lessons on consolidation of knowledge, skills and abilities are provided; summarizes knowledge, skills and abilities and ends with a control lesson.Topical issues are addressed in order to create short videos on each topic so that students can review the material on their own and not wait for the teacher’s answer. There are several programs for creating video lessons. They are: Сamtasia Studio, Macromedia Flash, Screen2exe, Jing, Werbineria, Wink.It is shown that the whole process can be divided into three stages: write a video tutorial on Camtasia Recorder, editing (post-editing) is provided in the Camtasia Studio editor,the video file is encoded.
Algorithms for Categorical-Generative Analysis: Implementing an Inductive, Comparative Method for Social Processes based on Formal Language Theory

This paper proposes a methodology for the analysis of a category of social process based on a representative set of sequences of outcomes of decision-making events. The goal is to describe and compare the evolutionary path of the abstract category in more than one empirical setting. First, this work argues for the classification task on types of events using the Quine-McCluskey algorithm, which is based on Set Theory. Next, it recommends the classification of the set of sequences of event outcomes using the Nevill-Manning algorithm, which is based on Formal Language Theory. In the practice of research, both differ from classification algorithms based on Information Theory and Probability Theory because of the assumptions about the nature of the phenomenon under studying in addition to the underlying mathematics used.
Physical and mechanical properties of artocarpus integer peel paper / Fairuzdzah Ahmad Lothfy … [et al.]

There are some environmental problems that are faced when producing papers from trees such as deforestation, air pollution, greenhouse gas emissions and disposal of animal habitats. Jackfruit waste such as the peel could be used as a new raw material for producing papers and at the same time, it could reduce problems with waste disposal due to the peel being solid waste. The objectives of this research are to fabricate the Artocarpus Integer peel (AIP) paper and study its physical and mechanical properties. The basic weight of AIP paper is 80.76-85.30 g/m2 and the bulk is 1.18-1.27 cm3/g. The fabricated AIP paper shows that it has good folding, tearing index, tensile strength, strain, and tensile energy absorption. The porosity size of AIP paper is 31.58 μm. Thus, utilizing AIP as an alternative raw material could increase the economic value, help to reduce the cost of disposal and consequently reduce the environmental pollution.
KONSEPTUALISASI MUATAN PADA BUKU-BUKU BACAAN LITERASI ANAK ABAD 21

Children's literacy books become one of the books that are much favored by Indonesian people specifically by children. Along with the development of the times, literacy reading books also increasingly carry out both in terms of advantages and in the field of its products. Book content or content becomes important. This is intended so that children's literacy reading books can be enjoyed by children. Research on the discussion of concepts in children's literacy reading books in the 21st century. This research is a qualitative research with a type of literature study. Data sources used in this study are literacy books published by the Ministry of Education and Culture of the Republic of Indonesia in 2017-2019. The analysis technique used in this study uses data analysis techniques consisting of content analysis (content analysis). The research structure, theme, context of content, characters, as well as the setting and flow of literacy reading books published by the Ministry of Education and Culture. The results of this study consist of a description of the structure of the story in a literacy reading book and conceptualization of the contents of a literacy reading book that contains:
Identification of Natural Frequency and Damping Ratio using Mikrotremor on Evacuation Building Ulee Lheue and Alue Deah Teungoh

Dynamic of structure is parameter robustness building to dynamic load. That include natural frequency, and damping ratio. Dynamical structure characteristic analysis is done at escape building Ulee Lheue and escape building Alue Deah Teungoh using mikrotremor data record. The objectives are to find out the natural frequency of the building and ground beneath, and damping ratio of building. Horizontal to Vertical Spectral Ratio (HVSR) is use to process the ground data, , Floor Spectral Ratio (FSR) and Random Decrement Method (RDM) is use to process the building data. The results of ground natural frequency (f 0 ) Alue Deah Teungoh is 4,571 Hz, and Ulee Lheue is 5,022 Hz. Natural frequency (f 0 ) escape building Alue Deah Teungoh is 1,461 – 2,443 Hz, and escape buiding Ulee Lheue is 1,430 – 4,168 Hz. Damping ratio escape building Alue Deah Teungoh is 2,000 – 4,496 %, Damping ratio escape building Alue Deah Teungoh is 2,973 – 4,831 %.
호주 대학의 한국학 현황과 과제

Journal of the International Network for Korean Language and Culture 17-2, 75-98. Based on objective or quantitative analysis, personal observations and some anecdotal notes, this study presents the recent developments of Australian universities that offer Korean Studies major programs and their academic activities. Additionally, this study presents an analysis of the current state of Korean Studies programs and their characteristic developments and explores their current and future challenges. Specifically, the study begins by presenting a main statistical index––namely the global standings of the Australian universities that offer Korean Studies––together with information about their global learning programs. It then undertakes analysis of their development in stages and the current state of the Korean language and Korean studies programs, in addition to investigating government support and the appointment of faculty members, approaches to teaching and research, and the recent activities of academic bodies that are related to Korean Studies. The study also briefly highlights the strengths, weaknesses, opportunities and challenges of the Australian universities that offer Korean Studies. The study followingly presents and briefly discusses challenges such as establishing new faculty positions, offering new disciplinary courses, raising early career scholars, and forming digital or virtual research clusters. It concludes with a brief discussion regarding the implications from the experiences of Australian universities for the development of Korean Studies in other regions.(UNSW)
Consecuencias que genera el bullying a nivel integral en los estudiantes en edad escolar según estudios en Latinoamérica entre 2010 - 2020

This document is aimed at contributing to the construction of a state of knowledge about the various investigations generated around violence in the school context, bullying, through an exhaustive bibliographic review that will allow a greater understanding of the consequences of these violent practices in the school environment. This is due to the fact that violent behaviors in educational institutions have aroused great interest at the national and international level in researchers, teachers, parents, psychologists and different entities that seek to improve school relations between children and adolescents; to maintain a healthy coexistence, a free development of personality, autonomy, self-confidence and spaces free of violence as a basis for a respectful society. There are many views that this issue has attracted and it has been approached from different research fields, in which it is sought to establish the role of each of those involved; the context in which it develops, family history, characteristics of behaviors that increase the possibility of school violence and the magnitude of the damage that violent behaviors cause in school-age children and adolescents.
Monotonicity and Noise-Tolerance in Case-Based Reasoning with Abstract Argumentation (with Appendix)

Recently, abstract argumentation-based models of case-based reasoning ($AA{\text -} CBR$ in short) have been proposed, originally inspired by the legal domain, but also applicable as classifiers in different scenarios. However, the formal properties of $AA{\text -} CBR$ as a reasoning system remain largely unexplored. In this paper, we focus on analysing the non-monotonicity properties of a regular version of $AA{\text -} CBR$ (that we call $AA{\text -} CBR_{\succeq}$). Specifically, we prove that $AA{\text -} CBR_{\succeq}$ is not cautiously monotonic, a property frequently considered desirable in the literature. We then define a variation of $AA{\text -} CBR_{\succeq}$ which is cautiously monotonic. Further, we prove that such variation is equivalent to using $AA{\text -} CBR_{\succeq}$ with a restricted casebase consisting of all surprising and sufficient cases in the original casebase. As a by-product, we prove that this variation of $AA{\text -} CBR_{\succeq}$ is cumulative, rationally monotonic, and empowers a principled treatment of noise in incoherent casebases. Finally, we illustrate $AA{\text -} CBR$ and cautious monotonicity questions on a case study on the U.S. Trade Secrets domain, a legal casebase.
Certificateless Privacy Protection Scheme based on Fog Computing in V2G Network

With large-scale electric vehicles connected to the power grid, the security and operating efficiency of V2G networks are facing severe challenges. Aiming at the shortcomings of the existing V2G privacy protection schemes, this study proposes a certificateless privacy protection scheme based on fog computing in V2G network. This scheme applies the elliptic curve certificateless public key signcryption algorithm to the V2G network, avoiding the bilinear pairing operation. At the same time, we introduce the fog calculation model into the charging and discharging data transmission process to design a new V2G network architecture, and used data aggregation technology, which can effectively improve the calculation efficiency. This study compares the security and computational overhead with other existing V2G privacy protection scheme. Compared with other schemes, the security and computational efficiency of the scheme proposed in this article are better.
Desarrollo de competencias parentales durante la emergencia sanitaria por COVID-19 en Bogotá

The measures taken by the national government to contain COVID-19 in Colombia have marked changes in the daily life of most of the country's families, applying quarantines, partial closures, contact restrictions and social distancing as a measure to prevent spread. Home became the space where social interactions are created including school and work, causing significant changes in family’s relationships. This degree work investigates the development of the parental competencies of two 7-year-old children´s parents, in the context of the measures implemented by the Colombian government for prevention and control of spread of COVID-19. A qualitative method was used through guided conversations, in which the experiences related to the social ecology of the child were addressed, as well, as the parental competencies that might be observed in the experiences described by the participants. Likewise, the opinion of an expert professional, psychologist and mother was consulted, who contributed to the analysis and considerations of the obtained results. It was possible to appreciate significant changes in parental competencies, thus highlighting the participant’s capacity to adapt in relation to raising their children, also, it was observed a decrease within children’s social circles, as a result of the physical distancing due to the confinement measures. Future research is proposed to analyze elements such as the emotional impact of the pandemic on parents, as well as the challenges around the role of parenthood and motherhood within this new normality. is invited to reflect on elements such as the emotional impact of the pandemic on parents, as well as the challenges around the role of parenthood and motherhood within this new normality.
Realization of a multi-node quantum network of remote solid-state qubits

We report on the realization of a three-node entanglement-based quantum network. We combine remote quantum nodes based on diamond communication qubits into a scalable phase-stabilized architecture, supplemented with a robust memory qubit and local quantum logic. Also, we achieve real-time communication and feed-forward gate operations across the network. We demonstrate two key quantum network protocols without post-selection: the distribution of genuine multipartite entangled states across the three nodes and entanglement swapping through an intermediary node. Finally, we will discuss the most recent experiments using the network as a platform for exploring, testing, and developing multi-node quantum network protocols and a quantum network control stack.
A Notification Alert System with Heartbeat and Temperature Sensors for Abnormal Health Conditions

Generally, we go to a hospital for two reasons, that is, for a regular check-up for aged people and the other is during health issues. For some cases, we need an Ambulance or any means of transport to reach the hospital when the condition becomes critical. Unfortunately, in such cases, we don’t have any predictive systems which keep track of the health conditions of the people and notifies when the situation becomes abnormal. Therefore, in our paper, we have addressed this issue with the help of a system which keeps track of our health and raises an alert notification to our relatives and the doctors of the nearby hospitals or maybe a family doctor who knows our condition well, in case of any abnormal health condition. The proposed system consists of device trackers and sensors to keep track of data and uses a messaging service to send alert notification. This work can further be improvised to suit the current pandemic situation (COVID—19) which can be used as a tracker for tracing the COVID patients. We can place all the required sensors like temperature sensor, heartbeat sensor, pressure sensor, wearable sensors.
The Political Exemption: A Justifiable Invasion of Privacy in the Political Sphere?

This article argues that the ‘political exemptions’ in the Privacy Act 1988 (Cth) pose a threat not only to privacy, but to core democratic values, and are therefore unjustifiable. While the threat to privacy imposed by the exemptions has grown more intense in recent years as new technologies usher in increasingly covert and data-intensive techniques for electioneering, proposals to change the law have gained little traction in Parliament. Instead, supporters of the exemptions maintain that the provisions support the proper functioning of the Australian democratic system. This article examines the operation of the exemptions under contemporary conditions, mapping the coverage of the provisions against the current technological and political milieu, in order to evaluate the effects of the exemptions on democratic processes. The analysis reveals that not only do the exemptions expose voters to a greater threat of privacy invasion, they threaten key democratic values which underpin the Australian political system.
Video Analytics with Zero-streaming Cameras.

Low-cost cameras enable powerful analytics. An unexploited opportunity is that most captured videos remain cold without being queried. For efficiency, we advocate for these cameras to be zero streaming: capturing videos to local storage and communicating with the cloud only when analytics is requested. How to query zero-streaming cameras efficiently? Our response is a camera/cloud runtime system called DIVA. It addresses two key challenges: to best use limited camera resource during video capture; to rapidly explore massive videos during query execution. DIVA contributes two unconventional techniques. (1) When capturing videos, a camera builds sparse yet accurate landmark frames, from which it learns reliable knowledge for accelerating future queries. (2) When executing a query, a camera processes frames in multiple passes with increasingly more expensive operators. As such, DIVA presents and keeps refining inexact query results throughout the query's execution. On diverse queries over 15 videos lasting 720 hours in total, DIVA runs at more than 100x video realtime and outperforms competitive alternative designs. To our knowledge, DIVA is the first system for querying large videos stored on low-cost remote cameras.
Optimally Reliable & Cheap Payment Flows on the Lightning Network.

Today, payment paths in Bitcoin's Lightning Network are found by searching for shortest paths on the fee graph. We enhance this approach in two dimensions. Firstly, we take into account the probability of a payment actually being possible due to the unknown balance distributions in the channels. Secondly, we use minimum cost flows as a proper generalization of shortest paths to multi-part payments (MPP). In particular we show that under plausible assumptions about the balance distributions we can find the most likely MPP for any given set of senders, recipients and amounts by solving for a (generalized) integer minimum cost flow with a separable and convex cost function. Polynomial time exact algorithms as well as approximations are known for this optimization problem. We present a round-based algorithm of min-cost flow computations for delivering large payment amounts over the Lightning Network. This algorithm works by updating the probability distributions with the information gained from both successful and unsuccessful paths on prior rounds. In all our experiments a single digit number of rounds sufficed to deliver payments of sizes that were close to the total local balance of the sender. Early experiments indicate that our approach increases the size of payments that can be reliably delivered by several orders of magnitude compared to the current state of the art. We observe that finding the cheapest multi-part payments is an NP-hard problem considering the current fee structure and propose dropping the base fee to make it a linear min-cost flow problem. Finally, we discuss possibilities for maximizing the probability while at the same time minimizing the fees of a flow. While this turns out to be a hard problem in general as well - even in the single path case - it appears to be surprisingly tractable in practice.
Strategi Kepala Sekolah dalam Pelaksanaan Ujian Nasional Berbasis Komputer (UNBK) di Sekolah Menengah Pertama

This qualitative case study aims to review and analyze the condition of the information and communication technology (ICT) facilities for the implementation of the computer-based national examination (UNBK), the principal's strategies in implementing UNBK, and the obstacles in implementing UNBK at one of junior high schools in Kota Kendari, Southeast Sulawesi, Indonesia. Data were collected by interview, observation and documentation. The result of data analysis revealed the lack of facilities for the implementation of UNBK in the school. The principal's strategies in implementing UNBK in the school cover various aspects, such as facilities and infrastructure, human resources, and pupil affairs. Two obstacles emerged i.e., technical and non-technical.
LibGuides: Research Data Support Services for Researchers: Writing a DMP

This guide supports the University’s Policy on Research Data Management contained within the Research Integrity Policy Framework. The guide provides guidance for Swansea University researchers on expectations, obligations, advice and support for research