Reviewerly/exHarmony huggingface dataset:
Perancangan Halaman Login Hotspot Dan Membangun Web Server Sederhana Pada Ubuntu Server 20.4 Menggunakan Oracle Virtualbox

Wireless or wireless communication is a necessity that cannot be separated from people's lives in this era. In addition to the rapidly growing wireless communication, information technology is also growing rapidly. The development of web server applications that are increasingly rapid since the advent of internet technology is very helpful in the ease and speed of sending, delivering and receiving information. Hotspot internet network is an alternative technology that is easier to implement in work environments such as offices. Hotspot network device installation is more flexible because it does not require a cable connection between computers. To do the configuration requires a virtual machine application and in this case is virtualbox. In addition to the virtual box as virtual machine, there is also an OS used to build a web server, namely Linux, Linux is an open source OS where the OS is very flexible to use.Keywords : Hotspot, Web Server, Virtualbox, Linux
대학교 비대면 수업에서 학습자의 학습실재감이 학습몰입, 학습만족도에 미치는 영향

With the innovative development of ICT, a change in the social paradigm has an effect on education, so the current educational environment has been drastically transformed into online education. In particular, non-contact classes are conducted in all universities, as e-Learning which has been only conducted in cyber universities is also applied to the general education programs managed by general universities, in the midst of COVID-19. This study, therefore, aims to examine the effect of learners' learning presence on both learning flow and learning satisfaction in non-contact university class. The subjects included 253 undergraduates majoring in the department of aviation tourism & service in H University located in Chungnam, and a statistical analysis was conducted by using SPSS WIN 21.0. The findings are as follows: First, cognitive presence, emotional presence and social presence, among the learning presence has significantly positive effects on the learning flow. Second, cognitive presence, emotional presence and social presence, among the learning presence has significantly positive effects on the learning satisfaction. Third, the learning flow has a significantly positive effect on the learning satisfaction. The results suggest that it is necessary to make efforts to enhance the learning satisfaction by managing systematic learner-centered curriculum and using various contents in non-contact university class.
A Weakly Supervised Amodal Segmenter with Boundary Uncertainty Estimation

This paper addresses weakly supervised amodal instance segmentation, where the goal is to segment both visible and occluded (amodal) object parts, while training provides only ground-truth visible (modal) segmentations. Following prior work, we use data manipulation to generate occlusions in training images and thus train a segmenter to predict amodal segmentations of the manipulated data. The resulting predictions on training images are taken as the pseudo-ground truth for the standard training of Mask-RCNN, which we use for amodal instance segmentation of test images. For generating the pseudo-ground truth, we specify a new Amodal Segmenter based on Boundary Uncertainty estimation (ASBU) and make two contributions. First, while prior work uses the occluder's mask, our ASBU uses the occlusion boundary as input. Second, ASBU estimates an uncertainty map of the prediction. The estimated uncertainty regularizes learning such that lower segmentation loss is incurred on regions with high uncertainty. ASBU achieves significant performance improvement relative to the state of the art on the COCOA and KINS datasets in three tasks: amodal instance segmentation, amodal completion, and ordering recovery.
Review Paper on Data Mining Techniques and Applications

Data mining is the process of extracting hidden and useful patterns and information from data. Data mining is a new technology that helps businesses to predict future trends and behaviors, allowing them to make proactive, knowledge driven decisions. The aim of this paper is to show the process of data mining and how it can help decision makers to make better decisions. Practically, data mining is really useful for any organization which has huge amount of data. Data mining help regular databases to perform faster. They also help to increase the profit, because of the correct decisions made with the help of data mining. This paper shows the various steps performed during the process of data mining and how it can be used by various industries to get better answers from huge amount of data.
DESIGN A MODEL TO ANALYZE THE IMPACT OF DIFFERENT ASPECTS ON SOFTWARE DEVELOPMENT PERFORMANCE

The accomplishment of feasible upper hand has been a significant objective of each industry these days. In the quickly developing software industry, the expanding number of contenders, accessibility of various software development tools and cycle with differed the board procedure has made the industry more mind boggling and testing. To comprehend this interest of continually changing climate of software market, the known ascribes and factors of representative conduct, for example, team size, requirements, innovation, culture, experience and software development frameworks ought to be considered to settle on choice. The interrelation between these accessible assets assists with bettering comprehends the developmental interaction and accomplish better outcome. Quality of software items relies on different period of software development measure. Cycle of software development is utilized to make and accomplish quality in software items. Software development measure utilizes four primary stages which have its own significance for development. Software quality is a conformance to requirements which is isolated into useful and non-practical requirements.
Unidirectional information-interaction network for person re-identification

Person re-identification (re-ID) is the task of matching the same individuals across multiple cameras, and its performance is greatly influenced by background clutter. Most re-ID methods remove background clutter using hard manners, such as the use of segmentation algorithms. However, the hard manner may damage the structure information and smoothness of original images. In this work, we propose a unidirectional information-interaction network (UI2N) that consists of a global stream (G-Stream) and a background-graying stream (BGg-Stream). The G-Stream and BGg-Stream carry out unidirectional information interaction such that their features are complementary. We further propose a soft manner with the UI2N to weaken background clutter by background-graying. The soft manner can help the UI2N filter out background interference and retain some informative background cues. Extensive evaluations demonstrate that our method significantly outperforms many state-of-the-art approaches in the challenging Market-1501, DukeMTMC-reID, and CUHK03-NP datasets.
LibGuides: Graphic Novels Aren't Just for Fun!: Types of Graphic Novels

This LibGuide will show how Graphic Novels can be a gateway to learning. Whether a graphic novel provides content or just engages a reader, they can be used to inspire students of all backgrounds and reading levels to read. Types of Graphic Novels will be featured on this page.
4차 산업혁명 시대의 영재교육을 위한 융복합의 의미

In these days, rapid social changes are receiving much attention to the public caused by emerging technologies such as artificial intelligence, big data and virtual reality. The grand shift by the fourth industrial revolution brings about the growing demand on the facilitation of prospective industries and research fields and highlights the significance of combining science, engineering and arts with the use of up-to-date technologies in the educational context. Thus, this study discusses the meaning of convergence in the contemporary times and implications for convergence-based education for the gifted in science.
The Intersection of Technology Competence and Professional Responsibility: Opportunities and Obligations for Legal Education

Technology has fundamentally changed the legal profession and the delivery of legal services. Lawyers routinely use technology, including artificial intelligence, for legal research, e-discovery, document review, practice management, timekeeping and billing, document drafting, and many other tasks. The American Bar Association (ABA) amended the Model Rules of Professional Conduct in 2012 to include an explicit duty of technology competence, and thirty-nine states have adopted a rule requiring technology competence. Further, the ABA adopted a resolution in 2019 urging the courts and profession to address the ethical issues around using artificial intelligence in the practice of law. This essay traces the developing use of technology in the practice of law, examines the ABA’s guidance with respect to the use of technology in practice, and addresses the intersection of legal competence and professional responsibility. Law schools have an obligation to prepare students to be effective, ethical, and responsible participants in the legal profession, which includes technology competence. Further, law schools must establish learning outcomes which provide competency in professional skills needed for competent and ethical participation as members of the legal profession, which also includes technology competence. Law schools have many opportunities to prepare students to be ethical, responsible users of technology in practice. Required Professional Responsibility courses and curricula should include the ethical pitfalls and considerations of using technology in practice. Law schools should also address the intersection of technology and professional responsibility in legal writing courses, clinics, and externships.
Remedial Writing Composition Module and Achievement of Grade 11 Senior High School Humanities and Social Sciences Students

The Remedial Writing Composition Module is one of the strategies for non-proficient writers and also enhancement strategy among developing writers and poor writers which encourages them to love writing. It was conducted among the Grade 11 Senior High School Students of STI College Tacurong during the School Year 2018-2019.The study was conducted to determine the effectiveness of the module, which was evaluated in terms of its content, relevance, acceptability, and instructional quality. The level of the writing achievement of the students was evaluated in terms or reading sentences writing, paragraphs writing, and narrative writing. The significant difference on the students writing achievement and the mean gain scores between the control group and experimental group in the pre-test and in the post-test were tested.Based on the results, the “Remedial Writing Composition Module” was excellent and passed the qualities expected by the target users, which composed of the reading and writing teachers and tutors. Based on the evaluation, the writing composition module met 91% and above quality standards. The experimental group who utilized the writing composition module got the highest mean compared to the control group, after they underwent an intensive intervention strategy. A significant improvement was revealed in the students’ writing achievement after utilizing the module, which contained various activities such as the sentences writing, paragraphs writing, and narratives writing.It is recommended that the “Remedial Writing Composition Module” should be adapted by STI College Tacurong and any other private and public schools and be integrated in their classroom program. Moreover, reading module should be utilized by the teachers during their class especially the reading and writing teachers during regular class or even remedial class.
Elon Musk reverses course on selling NFT song

Billionaire Elon Musk reversed course on Tuesday after announcing he would sell a techno music track he produced about non-fungible tokens (NFT).
On the Nature of Data Science

One can hear "Data Science" defined as a synonym for machine learning or as a branch of Statistics. I shall argue that it is far more than that; it is the natural evolution of the technology of very large-scale data management to solve problems in scientific and commercial fields. To support my argument, I shall give a brief introduction to two algorithms that are important in data science but that are neither machine learning nor statistics: locality-sensitive hashing and counting distinct elements.
초임 국어교사의 성장 과정 연구

The purpose of this study was to examine in-depth how beginning Korean teachers mature in their teaching profession. and especially what difficulties they face and how they should cope with them. To this end, seven incipient Korean language teachers who were within three years of beginning their career were selected as the participants for this study and data was collected for ten months and then qualitatively analyzed. As a result of the study, beginning Korean language teachers were developing through the process of creating their own educational philosophy while experiencing the confluence of their learned educational philosophy, along with the gradual process of finding their identity while experiencing the confusion of identity, and the process of establishing relationships with students, parents, and fellow teachers. The period as a beginning teacher is an important time in terms of maturation and development of the teacher for adaptation to the teaching profession. enhancing professionalism of the work, and forming an identity as a teacher. The significance of this study is that it provides detailed information about the growth process during this period. In addition, by checking the concrete aspect about what kind of difficulties the beginning teachers confronted and what kind of thoughts they had when dealing with the problems, abundant information is provided to design and fulfill teacher education such as for the teaching profession adjustment program development, which is to help their professional growth.
University Library: Critical Evaluation of News Sources: Websites for Evaluating News

Learn how to determine the credibility of news articles and sites, understand the importance of journalistic integrity, and perform basic fact-checking measures.
CURRENT ISSUES OF LEADERSHIP

The article discusses the main historical views of scientists on the emergence of leadership. The differentiation, typologization and models of leadership perception are disclosed. The article is devoted to the consideration of the modern understanding of the phenomenon of leadership, the influence of history on understanding leadership and its role in the world, its relationship with management. The main focus of the article is on the study of the theoretical and practical foundations of human leadership in a company. Issues of leadership and their role in management are considered. The article discusses the role of a leader and manager, their similarities and differences, as well as the need of each for the effective existence of a company or group. The authors analyze the distinctive features of a leader and his behavior, the specifics of the presentation of the image of a leader, the path to becoming a leader, and why not everyone can be a leader. The place of a leader in the modern world is analyzed, the qualities necessary to be a leader. New requirements for modern management are highlighted, new features of a manager who can effectively combine the role of a demanding boss with the role of an inspirer, a visionary leader, such a leader that members of the organization are not forced to follow as subordinates, but as loyal followers and associates, are highlighted. The authors of the article substantiate the relevance of the leadership problem, the degree of its development in the scientific and educational literature. The essential features of leadership in management are revealed.
A Homological Condition on Equational Unifiability.

Equational unification is the problem of solving an equation modulo equational axioms. In this paper, we provide a relationship between equational unification and homological algebra for equational theories. We will construct a functor from the category of sets of equational axioms to the category of abelian groups. Then, our main theorem gives a necessary condition of equational unifiability that is described in terms of abelian groups associated with equational axioms and homomorphisms between them. To construct our functor, we use a ringoid (a category enriched over the category of abelian groups) obtained from the equational axioms and a free resolution of a good module over the ringoid, which was developed by Malbos and Mimram.
Framing Reference Architectures with the View Model

Many reference architecture descriptions have been published, but they lack a common meta language. This lack makes it hard to generate architecture descriptions in a standardized, straight-forward manner, and it also makes it hard to compare reference architecture descriptions with each other. This article attempts to overcome this shortcoming by grounding reference architecture description in the standardized view model in ISO/IEC/IEEE 40201.
Traffic congestion simulation system using rule based / Muhammad Azrul Naim Ramli

There is an increasing of vehicle using the road year by year especially in the main city. This is good because it showing that the economy of that particular city is also increasing. Unfortunately, because of it, the traffic flow in that city may become overload and this is leading to traffic congestion. So, the aim of this paper is to reduce the traffic congestion by designing a smart traffic light control model that can show the flow of traffic in the city. The traffic light should be able to react in real time traffic behavior. This can be done by using rule based so that we can control the traffic light with the sets of rules implemented and we can also control it in the present time. This project is using waterfall model as the methodology and the steps involve including requirement, design, implementation and analysis. For the testing phase, the simulation model is tested whether it will display the traffic according sets of rules implemented. After doing the functionality test, the simulation model showing that it can react efficiently with the current traffic flow in that time and it meet with the objective. In the future, the system can be enhanced by providing more feature such as simulating traffic that have more than one lane. This is good to provide more accurate simulation for that particular road. This system can also have a good feature like in emergency situation such as when there is need to change red light to green if there is emergency vehicle want to pass by.
Racial Bias in Algorithmic IP

Machine learning systems, a form of artificial intelligence (AI), are increasingly being deployed both for the creation of innovative works and the administration of intellectual property (IP) rights associated with those works. At the same time, evidence of racial bias in IP systems is manifest and growing. Legal scholars have already noted that as AI becomes part of the intellectual property landscape, the biases present in existing IP systems may infect algorithmic processes trained on data from past practices. Unfortunately, much of the discussion to date conflates technical biases in AI systems with social biases, requiring disambiguation of the two. The latter type of bias, social bias, is already endemic throughout IP, and so the addition of AI systems requires special consideration only to the extent that they present special problems.In this essay I begin identifying such social bias problems that are particular to algorithmic determinations through AI processing. One set of problems relates to the illusion of numerical objectivity; AI outputs tend to be assigned undue weight due to the universal but fallacious impression that they are objective and neutral. A second set of problems relates to the performative nature of algorithmic processes; they tend to produce the effects that they assume, and in the intellectual property context hold the potential for altering the nature of protected works. Identifying these problems indicates that currently proposed solutions will be inadequate, and points toward a different approach to dealing with racial bias in algorithmic IP.
Monitoring and forecasting of tropical cyclones: A new information-modeling tool

Information-modeling tracker (IMT) is proposed as a tool for the diagnostics of oceanic aquatories where tropical cyclones are arisen. IMT is based on the complex of algorithms for the evaluation of the atmosphere-ocean system instability. Instability indicator of the atmosphere-ocean system (IIAOS) is developed to be the base for IMT synthesize and as precursor of tropical cyclone beginning. The IIAOS harmonization with the Saffir-Simpson scale allows the assessment of tropical cyclone characteristics including its strength and forms the basis for the atmosphere-ocean diagnostics in real time regime. The results of information-modeling tracking of set of tropical cyclones are encouraging and the IMT functional structure synthesized in this study can be used as an element of global ocean monitoring system.
LibGuides: Punctuation and Capitalization: Welcome

Learn more about English rules of capitalization and punctuation to help you become a more confident writer.
Providing The Motivational Excellence Model Of Human Resources In Increasing Productivity, Resilience, And Psychological Well-Being Of Human Resources

Background and Aim: Manpower is one of the most important resources of managers today. How to make the best use of human resources is an important condition for the efficiency and effectiveness of the organization. The purpose of this study was to determine the motivational model of human resource excellence in increasing productivity, resilience and psychological well-being of office workers in Toos Industrial Town in Mashhad.Method: The statistical population consisted of all employees of factories of Toos Industrial Town in Mashhad. Using systematic random sampling, 60 persons were selected as the final sample. For data collection, questionnaires of motivation (researcher-made), human resource perception, psychological well-being scale, resilience, and productivity were used. Data were analyzed using path analysis and regression coefficient.Results: The predicted pathways in the motivational excellence model had statistically significant coefficients. In other words, the path to planning and strategies with a direct effect of 0.938, the path of planning to processes with a direct effect of 1.54, the path of processes to results with a direct effect of 0.310 and ultimately the path of results Productivity, productivity and psychological well-being with direct effects of 6.05, 16.49 and 7.99 indicated that the research model was significant.Conclusion: It can be said that productivity and resiliency are two psychological and internal factors in employees and if we can adopt appropriate strategies for optimizing human resource utilization, we can increase employee productivity and resilience against stress.
System for Detecting the Location of a Magnetized Marker in a Human Subject

In this letter, we describe the design and operation of a magnetic detection system for marking lesions in human breasts that might be cancerous. The system is comprised of a thin cylindrical permanent magnet implanted in the breast to mark the lesion location. A handheld detector, covered by a sterilized sleeve, would be manipulated by the surgeon to detect the location of the magnet. Evenly spaced sensors in the neck of the detector are calibrated to mitigate the effects of external magnetic fields. The nominal signature of the embedded magnet is used to estimate the distance from the detector tip to the magnet. The distance is indicated both by a display panel and the pitch of an audible signal. Details of the design process and initial laboratory operation of this magnetic marker detection system are presented.