Reviewerly/exHarmony huggingface dataset:
A CASE STUDY OF HOW SPEAKING SKILL TAUGHT TO EFL STUDENTS IN JUNIOR HIGH SCHOOL LEVEL

Speaking is again can be seen as a skill which is very difficult to be taught, learnt and observed. Since its urgency in making meaningful communication between students,   this research is conducted within the pandemic situation. Mostly teachers are reluctant even left the students with their own speaking ability without any constructive ideas or strategies to overcome this crucial problems. The researcher’s taught is blowing with tis condition and it is important to investigate the phenomena of how speaking skill taught especially in Junior High School moreover within this new normal era.  With its all limitation, this research focus on only to see how the teacher teaches students in term of speaking skill. The method of this research is qualitative that observation and interpretation are mostly used to obtain the data for detailed results and discussion. The observation is done to see the real phenomena happened within the classroom while the teaching and learning process is running, and there is no any intervention from the researcher at all. While the interpretation is done to reveal the condition how is actually the speaking skill is taught following minimum standard of how actually speaking skill be given in Junior High School level. The results and discussion have shown that  the teacher implements collaborative work and maximize the feedback to improve students’ exposure to certain spoken language from them. However, this kind of finding is yet constructively help students with their speaking. It still needs a lot of adequate strategies to explore the students’ speaking skill to the fullest.
How to Build and Debug Programs

In this chapter, we look in more detail at the build tools we are using. The RP2040 SDK does much of the work supporting building our programs, but it is beneficial to understand what is going on underneath the high-level tools. Next, we delve into the GNU debugger (gdb), which single-steps through our programs and examines registers and memory as we go.
An Energy-Based View of Graph Neural Networks

Graph neural networks are a popular variant of neural networks that work with graph-structured data. In this work, we consider combining graph neural networks with the energy-based view of Grathwohl et al. (2019) with the aim of obtaining a more robust classifier. We successfully implement this framework by proposing a novel method to ensure generation over features as well as the adjacency matrix and evaluate our method against the standard graph convolutional network (GCN) architecture (Kipf & Welling (2016)). Our approach obtains comparable discriminative performance while improving robustness, opening promising new directions for future research for energy-based graph neural networks.
Clustering GNI Per Capita on a Continental Level

This chapter covers unsupervised machine learning. In unsupervised machine learning, you do not fragment data, rather you present the model with the entire data set and allow the model to discover patterns in the data on its own, without any supervision. Given that this chapter covers cluster analysis, it introduces the simplest unsupervised machine learning model, called k-means. The k-means method is easy to comprehend. When you’re conducting cluster analysis, there is no real response variable—you treat all the variables the same. There is no predictor variable either, so there is no case of prediction/forecasting. You only analyze the patterns in the data.
Impact of Information Security Policies on Security Breach Incidences in Kenyan Public Universities: An Observational Approach

The aim of this study was to investigate the Impact of Information Security Policies on Security Beach incidences in Kenyan public universities. Information security policies are designed to safeguard network resources from security breaches.&nbsp; The objectives of the study were: to investigate if there is a relationship between network security policies and information security breach incidents, to determine the relationship between server security policies and information security breach incidents, to investigate if there is a relationship between application security policies and information security breach incidents and to investigate the impact of information security policies on information security breach incidents. The study utilized a questionnaire to collect primary data from IT personnel in public universities with regard to their perceptions of how information security policies affect computer security breach incidents. A simple random sampling was used to identify 200 IT employees from public universities in Kenya. Pearson correlation analysis was used to study the relationships between the variables. Independent t-tests (2-tailed) and ANOVA test were used to determine the level of significance. According to the results of the study, there is a weak relationship between information security policies and security breach incidences. The study hopes to add to the body of academic knowledge in the public educational institutions in Kenya where information repository is a resource.
Advanced Spark Streaming

Chapter 6 introduced the core concepts in streaming processing, the Spark Structured Streaming processing engine’s features, and the basic steps of developing a streaming application. Real-world streaming applications usually need to extract insights or patterns from the incoming real-time data at scale and feed that information into downstream applications to make business decisions or save that information in some storage system for further analysis or visualization purposes. Another aspect of real-world streaming applications is that they are continuously running to process real-time data as it comes in. Therefore, they must be resilient against failures.
ShyTech Displays – Enabling a new era of puristic vehicle design and enhanced user experience

It has felt like Covid-19 had a stranglehold on us. But we haven‘t allowed ourselves to be defeated. On the contrary, we are taking advantage of the opportunities that arise as a result. Not only the long-overdue push towards digitalization, for example, but also the time gained by making fewer journeys. Those who show strength now and position themselves for the future will win. And that is exactly the reason why we have been preparing ELIV 2021 with such a lot of enthusiasm.
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning

Multimodal meta-learning is a recent problem that extends conventional few-shot meta-learning by generalizing its setup to diverse multimodal task distributions. This setup makes a step towards mimicking how humans make use of a diverse set of prior skills to learn new skills. Previous work has achieved encouraging performance. In particular, in spite of the diversity of the multimodal tasks, previous work claims that a single meta-learner trained on a multimodal distribution can sometimes outperform multiple specialized meta-learners trained on individual unimodal distributions. The improvement is attributed to knowledge transfer between different modes of task distributions. However, there is no deep investigation to verify and understand the knowledge transfer between multimodal tasks. Our work makes two contributions to multimodal meta-learning. First, we propose a method to quantify knowledge transfer between tasks of different modes at a micro-level. Our quantitative, task-level analysis is inspired by the recent transference idea from multi-task learning. Second, inspired by hard parameter sharing in multi-task learning and a new interpretation of related work, we propose a new multimodal meta-learner that outperforms existing work by considerable margins. While the major focus is on multimodal meta-learning, our work also attempts to shed light on task interaction in conventional meta-learning. The code for this project is available at this https URL.
Analysis and implementation of the solar tree by determining the optimal angle in Shiraz-Iran

The solar tree is a combination of technology and art that is considered as the application of solar energy in the art of urban architecture. This study aims to combine solar technology with architectural style and art, help urban beautification and investigate the increase in solar panels' efficiency by focusing on the optimal slope and no shading in the form of a new solar tree structure. In this paper, the best angle for placing panels on tree branches to increase Shiraz's maximum efficiency has been calculated. The best angle is done with the help of the NRI mathematical model. Also, the Fibonacci sequence, which originates from nature and real trees, has been used to minimize shadows on this tree. The panels' optimal slope calculations are performed using MATLAB software. Also, the monthly efficiency changes resulting from the optimal slope have been calculated and displayed. By analyzing the computational relationships and their implementation by PVsyst simulator, the optimal annual slope of solar panels obtained 30 degrees. By implementing it in the solar tree structure, the proposed model's annual efficiency has increased by 12% compared to the fixed state. This article examines the technical methods of using solar systems in urban architecture with emphasis on integration methods. In the proposed and implemented solar tree model with the ability to adjust the optimal angle and beautify passages, parks and recreation centers, it is possible to charge electronic equipment such as mobile phones, tablets, and electric bicycles through clean solar energy.
Context aware COPD adaptation system

The separation of concerns as a conceptual paradigm aims to manage the complexity of the software systems by dividing them into different concerns and aspects. The benefits of this paradigm such as adaptability, reusability and maintenance, have been key drivers of its adoption and usability, particularly in healthcare systems. Developing a context aware healthcare system with adaptive, flexible and maintainable architecture requires modularity because we need to make decisions based on context of patients. In the pervasive and emerging architectures such as Cloud computing, Fog Computing, Mobile Edge Computing and Internet of Things, the fundamental characteristic of the applications is their ability to adapt or to react according to the information of the context. The pervasive computing made many of our daily life’s tasks much easier. We have developed COPD healthcare system to protect patients against risk factors (context). In this talk, I will describe briefly this COPD system, then discuss three adaptation approaches based on separation of concerns, such as i) static (Aspect-oriented Programming), ii) Configuration (spring), and iii) dynamic (OSGi, MAPE). Then, I will illustrate dynamic approach to support adaptability of COPD diseases. In addition, I will give an overview of our context-aware healthcare systems.
Use of the Internet at the Reference Desk

The Internet has made simple a combined effort that was previously possible only through collegial exchanges between institutions or through the more formalized efforts supported by professional groups such as the Public Services Section of the Medical Library Association. Reference staff can surf over to the Ready Reference Collection of the Internet Public Library rather than calling the public library for answers to general reference queries that were once considered outside the scope of our collection and, sometimes, our expertise. Fishman reviews the literature on using electronic mail at the reference desk, emphasizing the management considerations. The Internet will continue to be both a delight and a frustration in receiving and answering the information needs of our patrons. The clientele that is served at the reference desk has also begun to change. There has been a well-documented rise in health consumerism supported by advocates in positions of power.
Chapter 4. Taking Your Library Instruction to YouTube

There are many types of technology resources available to deliver instruction and information in the field of librarianship. Five years ago Heather chose to create the first of two YouTube Channels, Tech Fifteen. The purpose of the channel was to share information, tips, and ideas on the integration of technology with librarians and the peer educators. This chapter will take the reader through the creation process and how to maintain a Youtube channel with an educational lens.
Virtual Reality Technology for Learning the Process of Organic Rice Cultivation

Organic rice cultivation is a process that requires skilled personnel. Therefore, those who have begun to study must learn from those who have direct experience through training. However, with the problem of organizing training requires a lot of location and operating costs; the idea is to apply Virtual Reality technology that helps to create a learning environment to solve problems. The objective of this research is the following: 1) develop virtual reality technology on learning to plant organic rice 2) study the users’ satisfaction of the virtual reality technology system. In which the study population was farmers in Surin Province. A sample of 400 people was used by the convenient sampling method. The research tools included 1) virtual reality technology on learning about organic rice cultivation 2) satisfaction questionnaire. The statistics used in this research were mean and standard deviation. The tools were tested with sample group in conjunction with agricultural training and published through social media by collecting research data during August - September 2020. The result of research showed that 1) to be able to develop Virtual Reality technology in the form of a video that can be viewed in 360 degrees by distributing through social media via mobile applications and websites. The content shows the process of growing organic rice which consists of a total of 11 scenes. 2) The result of the satisfaction assessment showed that the samples were able to access the information easily and quickly, easier to understand the process of planting organic rice and apply the knowledge into practice by oneself. The overall satisfaction assessment results were standard deviation was 0.13 and the mean was 4.34 which can be implied to be at the high level.Keywords: Virtual reality in rice planting, Organic rice, Virtual reality
Privacy-Aware Contact Sharing for Groups in P2P Networks

The need for peer-to-peer (p2p) communications is obvious because current centralized solutions are capturing and storing too much information from individuals communicating with each other. HELIOS platform introduces a new social media platform that is not controlled by any central operator but brings the power of possession of the data back to the users. It does not have centralized servers that store and handle receiving/sending of the messages. Instead, HELIOS platform relies on the current open-source solutions available in the p2p communities to propagate the messages to the wanted recipients of the data and/or messages. The authors of this paper propose a set of protocols to help answer one specific problem related to p2p communication. Especially, this paper proposes how to privately share data (end-point address or other) of the user with such other users who have previously connected with the user securely, either offline or online.
Influence of Information Quality and System Quality on the Use of Edmodo

This study aims to analyze the effect of information quality and system quality on trust, the effect of trust on the use of Edmodo, and the effect of information quality and system quality on the use of Edmodo, and analyze whether trust is a mediator or not. This study uses a correlational research design. The results showed that information quality and system quality were not significantly affected by trust, trust had a positive effect on Edmodo use. This research is expected to contribute to the study of information systems, especially in the use of learning technology through edmodo.
기업의 감염병 예방을 위한 BCP 강화방안 연구

As the number of confirmed cases of Covid-19 is not decreasing, it is time for domestic companies to respond preemptively and in terms of business continuity. The purpose of this study is to present measures to strengthen BCP to prevent infectious diseases in the enterprise. In this work, three methods of data investigation are used. The first was to search for keywords in academic databases such as the National Assembly Library and the Korea Research and Information Service to investigate degree papers and academic papers. Second, we investigated literature such as research reports, manuals, and guidelines on infectious diseases. Finally, the researchers visited official websites such as KDCA, MOHW, and MOIS to collect and analyze recent data. BCP In view of the Board, a new risk analysis should be made and a disaster preparedness system tailored to the characteristics of the entity should be established. We need to analyze corporate weaknesses and focus on safety culture. It is also important to look at how customers choose their services and products. Based on this, differentiated service strategies should be presented. It is hoped that the results of this study can be used as basic data for companies that want to systematically manage and operate BCP to prevent infectious diseases.
THE FOLK STUDY FOUNDATION OF NATIONAL PATRIOTIC EDUCATION IN THE ACTIVITY OF A MUSICAL ART TEACHER

The national-patriotic rebirth that occurs in modern Ukraine activates the public attention to the problem of a harmonious, integrated, creative, spiritually developed, tolerant person. In view of this, the use of music, including Ukrainian, national-patriotic education of the future teachers of music has become most promising, necessary and urgent. The comprehensive development of students’ mental and physical abilities is provided by a system of scientific knowledge, skills and abilities, which should correspond to the social demand of the society. The article highlights the relevance of the ethnographic foundation in the activity of the teacher of musical art for the fulfillment of the main tasks of national-patriotic education. The questions of possibilities of realization of modern pedagogical technologies in the educational process of modern school are raised.
A Linguistic Approach to News Articles

이 연구는 뉴스 이용자들이 미디어 언어를 제대로 이해할 수 있는 방법을 모색한 논문이다. 보도기사도 언어로 이루어진 텍스트이기 때문에 언어적 기준으로 미디어 언어를 평가하는 방법을 제시하였다. 그 기준은 정확성, 균형성, 명시성, 완결성이다. 정확성은 어휘, 문장구조, 언어 표현 등으로 평가한다. 균형성은 기사에 등장하는 대상에 대한 균형적 서술, 논리적 균형성 등으로 분석한다. 명시성은 취재원을 인용할 경우 그 실체를 확인할 수 있는 언어 표현으로 파악한다. 완결성은 사건에 대한 정보를 육하원칙으로 충분히 제공하고 있는가를 중심으로 판단한다. 이러한 기준으로 보도기사를 평가하면, 균형성이 부족한 편향보도, 명시성이 부족한 허위보도, 완결성이 부족한 왜곡보도로 나누어진다.This study aims to find out an approach for an audience to understand media language properly. As news articles also function as linguistic texts, the study presents a way to assess media language on a linguistic basis. The norms are accuracy, proportion, clarity, and integrity. We can evaluate accuracy with vocabulary, sentence structures, and linguistic expressions. To analyze proportion, we use balanced narration and logical equilibrium concerning objects in news articles. We can grasp clarity through linguistic expressions to ascertain news sources when they are cited. With a focus on sufficient presentation of information on events with 5W1H, we can judge integrity. To assess news articles on these norms, the study classifies biased coverage lacking proportion, fake news short of clarity, and distorted report with inadequate integrity. Therefore, news readers can judge media language according as linguistic expressions in news coverage bring problems.
Sampling of Non-flat Morphology for Grey Value Images

Sampling is a basic operation in image processing. In previous literature, a morphological sampling theorem has been established showing how sampling interacts with image reconstruction by morphological operations. However, while many aspects of morphological sampling have been investigated for binary images in classic works, only some of them have been extended to grey scale imagery. Especially, previous attempts to study the relation between sampling and grey scale morphology are restricted by construction to flat morphological filters. In order to establish a sampling theory for non-flat morphology, we establish an alternative definition for grey scale opening and closing relying on the umbra notion. Making use of this, we prove a sampling theorem about the interaction of sampling with fundamental morphological operations for non-flat morphology. This allows to make precise corresponding relations between sampling and image reconstruction, extending classic results for flat morphology of grey value images.
An Analysis and Application of HRMS Tools in Industries

HRMS tools are the application that helps any organization to set up an environment that helps them to easily view their employees, their activities, and other work-related jobs. This application is available to everyone where a user can register into the application with the required details and access to the credentials. The admin then can add the employees of their organization and give them roles and responsibilities. The admin can also give updated responsibilities to HR who can then make the required changes. The HR is responsible for recruiting the employees and also he can add upon the employees into the organization. The employees can look up their inbox, dashboard, recruit, personal details on the application. They can also get a help and support system which they can contact if there are any requirements. They can edit their profile anytime, can search for any requirements, and can get news feed from the organization. These are some of the functionalities of the application. Apart from that they can also view their salary slips, can apply for a leave application, and so on. With the advancement in the development of computers, HRMS tools are developed in such a way that humans can interact with it. The recent developments in the field of computer science especially in the field of Artificial Intelligence(AI) have opened wide doors for the development of efficient HRMS tools thereby reducing human efforts. In this paper, an analysis has been made between the HRMS tools developed with AI and HRMS tools without AI and based on the suitability the applications of these HRMS tools are drawn.
Collaboration and advance planning across campus create more cybersecure universities

“Cybersecurity is a threat that changes all the time, so addressing it involves everybody living and breathing security as second nature.” This was a key theme on September 22, 2021, when the National Student Clearinghouse hosted a webinar titled “CyberSecurED: Building a Cyber‐Ready Campus.” The webinar panelists — experts from EDUCAUSE, the Cyber Readiness Institute, REN‐ISAC, and NSC — discussed the role of university registrars and enrollment managers in preventing and responding to cyberattacks.
Digital Crabtree: Computer Simulation of Folsom Fluting

The Folsom Point is possibly one of the finest examples of flaked stone art in the world. Since 1926 when it was first reported, it has been collected, studied, and replicated. In the fall of 1997, this question caused the author to conceive of the idea of modeling the fluting of a Folsom point with a computer. Finite Element Analysis (FEA) software was acquired in February, 1998, the testing of the software and the concept began the same month. The mechanics of flake creation is an extremely difficult subject. The reasons for this are numerous, but one reason looms larger than the others. The removal of any given flake in the real world can be repeated because flake removal is a destructive process. Computer modeling is a form of experimental archaeology that can overcome some of the problems of real world experiments. To model the mechanics of channel flake removal the author used a computer program of the FEA category.