Reviewerly/exHarmony huggingface dataset:
The Use Of Pre-Writing Techniques To Overcome Students' Obstacles In Writing

Writing, as one of the communication tools, has been considered as an important way to express feeling, though and idea. It needs a process, and most people agree that some obstacles often found when the process is running. This study tried to figure out what the most frequent obstacles in writing. Specifically, this study was conducted in Senior High School Islamic Boarding School in Banda Aceh. The sample was taken purposively. Purposive sampling is a non-random sampling where the researcher uses a wide range of methods to identify all potential causes of a highly specific and challenging population. By using document analysis and questionnaires, the data was shown that the most frequent obstacle found by the students was writer’s block. Most of the students faced stagnation during the writing process. Furthermore, regarding to the techniques the students choose the most that help them in writing was brainstorming or listing. Most of them agree that using brainstorming as pre-writing techniques could help them in reducing problems that occurred during writing process.
Membangun Sistem Informasi Apotek sebagai Media Pelayanan di Masa Pandemi Corona Virus Disease 19 (Covid-19)

Currently, technology is developing rapidly in various aspects that are well integrated, such as the Sendang Farma Pharmacy. The system used is still considered too complicated so that the admin is less painstaking in data entry and website usage. This results in the number of goods in the system and actual stocks that do not match so that consumers are disappointed because the drug supply is not available. The scope of the problem currently observed is how to design information systems at pharmacies that aim to facilitate data processing in information so that it is effective and efficient according to user desires. The design of this system is also useful for improving customer service during the Covid-19 pandemic so that it can increase customer satisfaction. The method used in this research is the SDLC (System Development Life Cycle) method with the waterfall model. The website of the Sendang Farma Pharmacy is designed using a programming language, MySQL as a database and PHP. The result of this system is a pharmacy information system that will get information and drug inventory at the Sendang Farma Pharmacy.
Learning-based decentralized offloading decision making in an adversarial environment

Vehicular fog computing (VFC) pushes the cloud computing capability to the distributed fog nodes at the edge of the Internet, enabling compute-intensive and latency-sensitive computing services for vehicles through task offloading. However, a heterogeneous mobility environment introduces uncertainties in terms of resource supply and demand, which are inevitable bottlenecks for the optimal offloading decision. Also, these uncertainties bring extra challenges to task offloading under the oblivious adversary attack and data privacy risks. In this article, we develop a new adversarial online learning algorithm with bandit feedback based on the adversarial multi-armed bandit theory, to enable scalable and low-complexity offloading decision making. Specifically, we focus on optimizing fog node selection with the aim of minimizing the offloading service costs in terms of delay and energy. The key is to implicitly tune the exploration bonus in the selection process and the assessment rules of the designed algorithm, taking into account volatile resource supply and demand. We theoretically prove that the input-size dependent selection rule allows to choose a suitable fog node without exploring the sub-optimal actions, and also an appropriate score patching rule allows to quickly adapt to evolving circumstances, which reduce variance and bias simultaneously, thereby achieving a better exploitation-exploration balance. Simulation results verify the effectiveness and robustness of the proposed algorithm.
IMPLEMENTASI STRING MATCHING DENGAN ALGORITMA BOYER-MOORE UNTUK MENENTUKAN TINGKAT KEMIRIPAN PADA PENGAJUAN JUDUL SKRIPSI/TA MAHASISWA (STUDI KASUS: UNIVERSITAS XYZ)

In determining the research topic as well as the title for the Thesis / TA, it is possible that there will be a similarity in the title between one student and another, whether intentionally or unintentionally. For this reason, the Study Program must check the titles submitted by students, so as to avoid indications of similar titles and indications of plagiarism. Efforts that can be made to make it easier to check the Thesis title are by performing string matching on the text on the title that will be submitted by students. One of the string matching algorithms is Boyer-Moore. Boyer-Moore, who made the match starting from the rightmost character then left based on the value of the occurrence heuristic (HO) and match heuristic (MH) in determining the shift. This research produces a system that is able to determine the similarity of the proposed Thesis titles based on the existing title repositories. From the results of testing the processing time by entering 100 and its multiples show that the Boyer-Moore algorithm is able to match quickly. The results also showed that the more data the more time it took, but the average increase in time only increased by 34%.
Technology: A Foundation for Economic Development

The world has now become closer together as one global village, thanks to the technological progress. No doubt, Technology brings development with it and, when managed properly, creates wealth for individuals, companies as well as nations. This paper discusses the role of management of technology, demonstrates the impact of technology, defines the necessary ingredients, brings out the details about the drivers of change, in creating economic growth, organizational competitiveness and prosperity and demonstrates the impact of technology on fostering national development and improving competitiveness. It also discusses the responses needed by governments of developing countries, recommends strategies to be followed by corporations, etc., with a special attention on the Human Resource Development effort required to prepare a workforce capable of supporting the change.
Implementation of self-organized educational space into the process of music art learning

Випуск 79 том 1'2021 Серія 5. Педагогічні науки: реалії та перспективи Boliak T. M. Professional competence of a primary school teacher as a condition for successful learning in a New Ukrainian School (NUS)The articles consider the understanding and content of modern scientific and pedagogical terminology (reform of primary education, competence, pedagogical competence, professional competence, professional competence of primary school teachers) and "roles" of primary school teachers (facilitator, tutor), which appeared in the concepts of implementation New Ukrainian School (NUS); Emphasis is placed on the content of professional competence of primary school teachers and highlights the main components that are extremely important at the present stage of development of society, taking into account the changes taking place in education; Also, the theoretical analysis of psychological and pedagogical scientific literature allowed to identify five main criteria of professional competence of primary school teachers (general cultural criterion, general professional criterion, communicative criterion, personal criterion, criterion of development and self-education); According to the analysis of scientific works, the key components of a teacher's professional competence were identified and described, namely: informational, communicative, productive, moral, psychological, social, mathematical, autonomy for the competence and personal qualities of a teacher.Emphasis is placed on the importance as a vector of humane and creative approach to primary school students of partnership pedagogy (students and their parents, culture of communication, interaction and cooperation between teachers).It is the pedagogy of partnership that allows individuals to successfully build relationships with other people, because without interaction with others, without understanding their own and their feelings, it is impossible to achieve common goals.The professional competence of a primary school teacher is the result of creative professional activity, an integrated indicator of the personal activity essence of a teacher.A professionally competent teacher successfully solves the problems of the educational process, prepares students for life, achieves the desired results in personal development.It is proved that a primary school teacher is the main actor in reforming the concept of the New Ukrainian School (NUS).
Mineração de Texto para a Análise do Perfil Emocional de Usuários de Jogo Empático

Daily, a large amount of data circulates on the Internet, producing a lot of information in the form of images, videos and texts. Then, it is necessary to analyze and extract these information automatically. Therefore, this work presents a case study that applies text mining to extract the emotional and sentimental profiles from the comments of the Last Day of June game users, where the results and the information extracted from the analysis of sentiments were presented. Three classification algorithms were used: Naive Bayes, Support Vector Machine (SVM) and K-Nearest Neighbors (KNN) to predict the class of elements according to the emotions or feelings identified in the comments analysis. As a result, SVM with radial kernel was the one with the best accuracy, with 79%, followed by KNN with 3 closest neighbors, with 75%, and finally, Naive Bayes, with 62%.
THE SYSTEM OF DEVELOPMENT OF PROFESSIONAL COMPETENCE IN FUTURE PRIMARY SCHOOL TEACHERS

The following article deals with the result of theoretical and practical study of the system of development of professional competence of students (future primary school teachers) in higher education and the important aspects of pedagogical practice in it. The modern higher education institution aims to form a wide range of professional skills and competencies of its graduates, from which the higher education institutions of the republic are interested in training qualified, mature, competitive specialists in the modern labor market.During the studies, students of the Faculty of Primary Education (future primary school teachers) must not only acquire the knowledge, skills and competencies necessary to demonstrate their success in the professional field, but also develop important qualities of the teaching profession. To achieve this goal, a whole set of pedagogical tools, including pedagogical practice should be used. Such an organization of the system of development of professional competencies of future primary school teachers contributes to the formation and development of professional competence. For this we should create the necessary conditions for students, to develop professional skills and professional competence in the course of teaching and pedagogical practice in higher education, to have the ability to become a professional, to enrich their professional knowledge and use it in practice, to develop creative, innovative ideas. All this indicates the urgency of the issue of forming the basis of professional competence in modern higher education.
Unsolvability of the Quintic Formalized in Dependent Type Theory

In this paper, we describe an axiom-free Coq formalization that there does not exists a general method for solving by radicals polynomial equations of degree greater than 4. This development includes a proof of Galois' Theorem of the equivalence between solvable extensions and extensions solvable by radicals. The unsolvability of the general quintic follows from applying this theorem to a well chosen polynomial with unsolvable Galois group.
LibGuides: ScholarWorks (ABIERTA): Theses and Projects

CSU Fullerton's Institutional Repository: Archiving a Breadth of Institutional and Educational Resources by Titans for All Graduate and Honors theses and projects
Commonsense Knowledge Base Construction in the Age of Big Data

Compiling commonsense knowledge is traditionally an AI topic approached by manual labor. Recent advances in web data processing have enabled automated approaches. In this demonstration we will showcase three systems for automated commonsense knowledge base construction, highlighting each time one aspect of specific interest to the data management community. (i) We use Quasimodo to illustrate knowledge extraction systems engineering, (ii) Dice to illustrate the role that schema constraints play in cleaning fuzzy commonsense knowledge, and (iii) Ascent to illustrate the relevance of conceptual modelling. The demos are available online at https://quasimodo.r2.enst.fr, https://dice.mpi-inf.mpg.de and ascent.mpi-inf.mpg.de.
The Sample Complexity of Meta Sparse Regression

This paper addresses the meta-learning problem in sparse linear regression with infinite tasks. We assume that the learner can access several similar tasks. The goal of the learner is to transfer knowledge from the prior tasks to a similar but novel task. For p parameters, size of the support set k , and l samples per task, we show that T \in O (( k log(p) ) /l ) tasks are sufficient in order to recover the common support of all tasks. With the recovered support, we can greatly reduce the sample complexity for estimating the parameter of the novel task, i.e., l \in O (1) with respect to T and p . We also prove that our rates are minimax optimal. A key difference between meta-learning and the classical multi-task learning, is that meta-learning focuses only on the recovery of the parameters of the novel task, while multi-task learning estimates the parameter of all tasks, which requires l to grow with T . Instead, our efficient meta-learning estimator allows for l to be constant with respect to T (i.e., few-shot learning).
A Study on the Cooperation to develop Defence Science and Technology of GSRI

As a representative public research institute, a government-funded research institute in the field of science and technology (Jung Jeon-yeon), which plays a key role in creating innovative results for national growth, recently promoted the military use of innovative private technologies such as the 4th Industrial Revolution technology to promote defense science and technology. A cooperative plan for development was suggested.
A bitcoin rush and purple maize

Bitcoin flickers and flares Last year’s decline in natural gas consumption has fired up some in the oil and gas industry to explore a different kind of resource extraction—one that uses computers to mine for digital currency. Quartz reports that since the pandemic began, a handful of gas companies in the western US have tapped excess flare gas—an environmentally contentious by-product of oil extraction that’s typically burned off—to power generators that supply cheap electricity to data centers that mine bitcoins, a cryptocurrency. Cryptocurrency mining, which involves using computers to solve cryptographic equations, has been criticized for its outsize energy requirements. According to researchers at the Oak Ridge Institute for Science and Education , bitcoin mining consumes more than twice the energy required to mine an equivalent value of copper, gold, or platinum. EZ Blockchain, a company that sells digital mining infrastructure to gas companies, says its model offers a way
A REVIEW PAPER ON ADAPTIVE MODIFIED ADVANCED ENCRYPTION STANDARD

Ensuring the security of the sensitive data from being accessed by unauthorized user is very important issue, especially while being transmitted or stored for the companies and end users. Multiple ways are used to do this job; one of the most famous is to use cryptography. Cryptography is used to transfer the data in a form that is not understood by anyone apart from the intended recipient. The advance standard encryption algorithm (AES) is one of the most secure encryption algorithms, but AES suffers from consumption of unnecessary time to achieve the necessary complexity needed to meet the security level, especially for real time application. In this research, a modified scheme is developed for the encryption/decryption algorithm by modifying the MixColumns stage.The aim of new scheme is to increase the speed of the encryption/ decryption process while maintaining the complexity of the design by using IV vectors depends on true random number generator.
Implementation of Low Cost SDR&amp;nbsp;in HF Band for&amp;nbsp;Emergency Application

Abstract When events are uncontrolled due to hurricanes, the communication will breakdown. During this strenuous situation there is a need for reliable communication system to provide alert and emergency services. There remains a particular attention towards portability, reconfigurability, and interoperability in a communication system to reduce response time during emergencies. The real-time implementation helps to come across alternatives to overcome practical difficulties and challenges. This motivates us to implement a Relay Node in real-time using SDR , hence an experiment is carried out in order to gain first hand experience between different types of architecture of SDR i.e.VUSDR, HackRF One, and USRP. The architecture of Low-cost VUSDR and comparison between different types of SDR has been presented in this paper. Future scope and applications are presented.
MODERN PROBLEMS OF CHANGES MANAGEMENT IN HIGHER EDUCATION IN RUSSIA

The accelerating flow of changes in all spheres of society puts humanity in the face of the problem of determining its place and role in this flow. Should we follow the limits set by the parameters and conditions of the flow, or try to control it? The answer to this by no means idle question should be given first of all by university science – that part of science that produces not only new knowledge, but also the main resource for their practical implementation – competent people. Accordingly, universities should also be in the flow of changes and determine the goals, objectives and content of ongoing changes not only for society, but also for themselves. The basic contours of this personal identity process are already beginning to become clear. There is a consensus that the transformation of higher education should be managed. But many questions, both theoretical and practical, remain open. And the main among them is question of how and by whom this process should be managed. The article deals with the features of the current stage of development of management relations in higher education in Russia. The necessity of transforming university activities is shown. The conditions and approaches to making changes are described. The practical policy of implementing changes is analyzed. Suggestions for its improvement are put forward and justified.
Proceedings - AI/ML for Cybersecurity: Challenges, Solutions, and Novel Ideas at SIAM Data Mining 2021.

Malicious cyber activity is ubiquitous and its harmful effects have dramatic and often irreversible impacts on society. Given the shortage of cybersecurity professionals, the ever-evolving adversary, the massive amounts of data which could contain evidence of an attack, and the speed at which defensive actions must be taken, innovations which enable autonomy in cybersecurity must continue to expand, in order to move away from a reactive defense posture and towards a more proactive one. The challenges in this space are quite different from those associated with applying AI in other domains such as computer vision. The environment suffers from an incredibly high degree of uncertainty, stemming from the intractability of ingesting all the available data, as well as the possibility that malicious actors are manipulating the data. Another unique challenge in this space is the dynamism of the adversary causes the indicators of compromise to change frequently and without warning. In spite of these challenges, machine learning has been applied to this domain and has achieved some success in the realm of detection. While this aspect of the problem is far from solved, a growing part of the commercial sector is providing ML-enhanced capabilities as a service. Many of these entities also provide platforms which facilitate the deployment of these automated solutions. Academic research in this space is growing and continues to influence current solutions, as well as strengthen foundational knowledge which will make autonomous agents in this space a possibility.
Research on CSI Indoor Personnel Behavior Detection Algorithm Based on Adaptive Kalman Filter

In order to improve the accuracy of indoor personnel detection, we propose a channel state information (CSI) indoor personnel behavior detection algorithm based on adaptive Kalman filter in this paper. After collecting the original data package of CSI, the adaptive Kalman filter algorithm of variance compensation is used to filter the original data, and the dichotomous K-means clustering algorithm is used to classify the collected data and establish the fingerprint database. Then the k-nearest neighbor (KNN) matching algorithm is used to match the real-time data with the fingerprint database data to achieve the indoor behavior detection. The experimental results show that compared with the LIFS and FIMD methods, the method can recognize the action behavior of indoor people more accurately.
Aprendizaje basado en problemas, sobre ambiente virtual de aprendizaje, un modelo de enseñanza y aprendizaje en la Universidad Santo Tomás (VUAD)

the virtual learning environment, a teaching and learning model at Universidad Santo Tomás -VUAD
Dandelion: multiplexing Byzantine agreements to unlock blockchain performance

Permissionless blockchain protocols are known to consume an outrageous amount of computing power and suffer from a trade-off between latency and confidence in transaction confirmation. The recently proposed Algorand blockchain protocol employs Byzantine agreements and has shown transaction confirmation latency on the order of seconds. Its strong resilience to Denial-of-Service and Sybil attacks and its low computing power footprint make it a strong candidate for the venue of decentralized economies and business ecosystems across industries. Nevertheless, Algorand's throughput is still far from the requirements of such applications. In this paper, we empower Algorand's protocol by multiplexing its byzantine agreements in order to improve performance. Experiments on wide area networks with up to ten thousand nodes show a 4-fold throughput increase compared to the original Algorand protocol.
新历史主义视域下的‘南京大屠杀’叙事 ― 以哈金的《南京安魂曲》为例 ―

As a historical event during the Second World War, the authenticity of is beyond doubt, but the narration of the fact of Nanjing Massacre can be endowed with the narrator''s subjective feelings (including values, ideology and interpretation). How to record and express, and how to reproduce such a devastating human disaster, to many novelists, it is difficult to strike a balance between fact and explanation, fact and value. There seems to be a gap between the fictionality of novels and the aim of seeking the truth in history. However, it seems that Ha Jin undertakes the dual responsibility of a historian and a novelist: on one hand, he utilizes the novel as an approach to expose the complexity of the characters'' psychology and emotions of daily life; on the other hand, he holds the precise attitude of a historian, and focuses on a large number of historical materials, retells the history in a recording language style. How Ha Jin overlaps history and literature, how to sublimate history into literature, will be the focus of this paper. Based on Hayden White''s theory of historical interpretation and analysing author''s identity value , the characters in the novel, narrative perspective characteristics, this paper attempts to illustrate the current significance of the historical narrative of Nanjing Requiem.
LibGuides: Academic Study Skills Offer: Level 3 and Access

A short guide to our in-class support sessions Information about Study Skills sessions for FE