Reviewerly/exHarmony huggingface dataset:
미용관련 계약학과 교육 서비스품질이 학생들의 행복감과 자신감에 미치는 영향

In modern society, there are a lot of contracts and departments that students can work and study together. The purpose of this study is to present the quality of education services in order to enhance the confidence and happiness of students in the contract department related to beauty care. The survey targets were conducted among students of beauty contract department. Also the collected data, SPSS 22.0, using the analysis. Applied to the data analysis method of frequency analysis, factor analysis, reliability analysis and regression analysis. The results are as follows. First, as a result of examining the demographic characteristics, it was the highest in female, 20s, unmarried, hair designer, monthly income is 1 million won more than 2 million won less, Working career is 1 year more than 3 years less, and a staff of 5 people and over 10 people less. Second, as a result of evaluating and trusting the validity and reliability of educational service quality, euphoria, and self-confidence, education service has three components, Happiness consists of two factors, and Confidence consists of two factors. Third, As a result of regression analysis, it was found that empathy, Typology and Reactive of education service quality had a great effect on euphoria and self-confidence Therefore, in order to improve the quality of the beauty education service, the school systematically establishes the curriculum suitable for the major education, and It is thought that it will help students improve their happiness and confidence by listening to, improving, and supplementing their students'' opinions.
Marcelo Sandoval-Escobar: Fugitive accused of ramming stolen truck into two cars at auto shop in SeaTac

King County Sheriff’s detectives say multiple tips from Washington’s Most Wanted viewers helped identify the hit and run suspect featured on WMW two weeks ago as 44-year-old Marcelo Sandoval-Escobar.
ENACTMENT OF DEEP LEARNING METHODS FOR BIRD CATALOGING BY DEPLOYING CONVOLUTION NEURAL NETWORKS (CNN)

The species understanding is integral for ensuring biodiversity. Locating bird species is a challenging task often resulting in difficult levels. It is a difficult problem in identifying both humans and computers. To provide a handy tool for bird identification, we develop a deep learning platform and a tensor flow framework for pointing out. To develop such a system a bird data to set is required to classify an image. Winged animal pictures were ordered by a convolution neural system (CNN) to distinguish includes in the picture. The algorithm takes input image, assigns importance to various objects, and differentiates one from the other. In CNN, the Sigmoid function is used to obtain the probability of the image. Image converted to grayscale format and divided into certain pixels where more feature extraction takes place. After, the algorithm is trained good accuracy developed is the score sheet is obtained from it. The outcome acquired was of high effectiveness as the framework could undoubtedly distinguish flying creature animal groups from a picture transferred by the client.
Evolving roles for electronic resources librarian in digital Era

Information communication technology changes the working system in every area. Library and information centers also affected with it. Introduction of web reduces the need of library because users will get information from internet at any place at any time. The paper aims to highlight the affect of internet on library usage. Concept of e-learning by born digital generation. Components of electronic resource library. Libraries help in e-learning, user’s expectation from e-resource library and at last the skills required in electronic resource librarian. Data have been gathered by reviewing the literature. After profound review of literature it is found that e-resource libraries are established but to some extent. There are difficulties for librarians to manage e-resources as they are not IT literate. So it is suggested that change in the library science syllabus is the most important thing to do. If librarians cannot IT literate they cannot manage successful electronic resource library.Keywords: Digital Library, Information Literacy, Electronic resource library, E-librarian
AI and Tort Law

Tort law allows parties to seek remedies (typically in the form of monetary damages) for losses caused by a wrongdoer’s intentional conduct, failure to exercise reasonable care, and/or introduction of a specific risk into society. The scope of tort law makes it especially relevant for individuals who are harmed as a result of an artificial intelligence (AI)-system operated by another person, company, or government agent with whom the injured person has no pre-existing legal relationship (e.g. no contract or commercial relationship). This chapter examines the application of three primary areas of tort law to AI-systems. Plaintiffs might pursue intentional tort actions when an AI-system is used to intentionally carry out harmful conduct. While this is not likely to be the main source of litigation, intentional torts can provide remedies for harms that might not be available through other areas of law. Negligence and strict liability claims are likely to be more common legal mechanisms in the AI context. A plaintiff might have a more straightforward case in a strict liability claim against a wrongdoer, but these claims are only available in specific situations in Canada. A negligence claim will be the likely mechanism for most plaintiffs suffering losses from a defendant’s use of an AI-system. Negligence actions for AI-related injuries will present a number of complexities and challenges for plaintiffs. Even seemingly straightforward preliminary issues like identifying who to name as a defendant might raise barriers to accessing remedies through tort law. These challenges, and some potential opportunities, are outlined below.
Kreativitas Guru Bahasa Inggris dalam Mengajar Daring

This study aims to determine the description of the creativity of teaching some English teachers in Yunior High School in Banyumas regency during pandemic covid-19, particularly in using online learning media. The method used in the research is descriptive qualitative. One of online learning challenge is boredom, less motivation, uninteresting learning, many homeworks, and also the students don’t go to school for a long time and they will disturb the learning effectivity. In this case, teachers creativity is primarly needed so teachers can manage online learning to be an interesting class and it will motivate students to study and in turn it will also improve students ’achievement. The results show that from 8 English Yunior High School teachers in Banyumas regency researched, found many various way of teaching online using online media. The creativity that has done is the planning, implementing, dan evaluation in teaching online. There are 3 online media used in planning &amp; implementing, they are Whatsapp group, Google Classroom, and Video Converence (Zoom/Google meet). In addition there are 5 online media used in evaluation, they are Ms. Word, Google Forms, Quizizz, Ms. Forms. And Online Crossword. From this study concluded that English teachers creativity is very good in which each teacher has his/her own creativity adapted with the students’ situation &amp; condition and it becomes the other choice of teaching online model for readers.
Library Guides: Collection Development Committee (CDC): Committee Resources

Previously the Collections and Online Resources Working Group – The CDC has been recently established and is composed by all faculty with liaison responsibilities. Documents or links to documents or webpages
Bermuda Triangles: GNNs Fail to Detect Simple Topological Structures

Most graph neural network architectures work by message-passing node vector embeddings over the adjacency matrix, and it is assumed that they capture graph topology by doing that. We design two synthetic tasks, focusing purely on topological problems -- triangle detection and clique distance -- on which graph neural networks perform surprisingly badly, failing to detect those bermuda triangles. Datasets and their generation scripts are publicly available on this http URL and this http URL.
Balancing exploration and exploitation in ACS algorithms for data clustering

Ant colony optimization (ACO) is a swarm algorithm inspired by different behaviors of ants. The algorithm minimizes deterministic imperfections by assuming the clustering problem as an optimization problem. A balanced exploration and exploitation activity is necessary to produce optimal results. ACO for clustering (ACOC) is an ant colony system (ACS) algorithm inspired by the foraging behavior of ants for clustering tasks. The ACOC performs clustering based on random initial centroids, which are generated iteratively during the algorithm run. This makes the algorithm deviate from the clustering solution and performs abiased exploration. This study proposes a modified ACOC called the population ACOC (P-ACOC) toaddress this issue. The proposed P-ACOC allows the ants to process and update their own centroid during the algorithm run, thereby intensifying the search at the neighborhood before moving to another location.However, the algorithm quickly produces a premature convergence due to the exploitation of the same clustering results during centroid update. To resolve this issue, this study proposes a second modification by adding a restart strategy that balances between the exploration and exploitation strategy in P-ACOC.Each time the algorithm begins to converge with the same clustering solution, the restart strategy isperformed to change the behavior of the algorithm from exploitation to exploration. The performance of the proposed algorithm is compared with that of several common clustering algorithms using real-world datasets. The results show that the accuracy of the proposed algorithm surpasses those of other algorithms.
La Competencia Digital ante contextos de exclusión

The results of an investigation that focus on the study of Digital Competence fromthe analysis of a case study are presented in this article. The unfavorable context of a 12-year-old child (economic, social and cultural), with a family situation with high levels ofdestructuring, is described to analyze the influence of the different agents involved in hiseducation, in depth in the Formal spaces, in the school environment, as informal at thefamily level and the potential group of equals. Large gaps are identified and emerge bycontrasting the developed skills of the case with the research that analyses the proposeddimensions for Digital Competence. The results uncover that the development of them isscarce and focus mainly on processes related to communication and collaboration andrelated to the search for information. The research also highlights the difficulties that emergefrom the school institution in order to work on this type of learning and act as a truecompensatory agent. We mainly identify two limiting areas when it comes to working withdigital skills: the oversizing of the curriculum of content in subjects of Primary Education andthe search for low levels of conflict with families by conditioning the processes ofeducational innovation.
Artificial Intelligence and Intellectual Property Rights: A Futuristic Study

The basis for this research originally stemmed after getting to know the huge development which is taking part in the Artificial Intelligence sector and the change which is taking place in other sector due to the development in the Artificial Intelligence. In this dissertation named Artificial Intelligence and Intellectual Property Rights: A Futuristic Study, we will see that with the development in Artificial Intelligence has it invaded to Intellectual property rights. Will Artificial Intelligence would really get any protection under the IP regime. As Artificial Intelligence is a huge sector in itself we will focus on the legal provisions provided to them under the IP regimes.
Analisa Pengaruh Pembebanan Dan Kenaikan Suhu Belitan Terhadap Susut Umur Transformator #8 150/20 kV Pada GIS New Pulogadung

Transformer is one of the vital objects in the transmission line system. And it is important to take care of the equipment from interference. Aging of transformer itself can be reduced as a result of several factors one of them loading transformer. In a practice the power transformer in the substation could be excessive burden, remember as a result of load transfer maneuver in the distribution system. Besides growth in the current era of electricity is increasing, causing descreasing equipment life due to the greater loading. The purpose of this study to predict the life of the transformer as a result of the increased of loading each year. This research uses quantity method. The source of the data used is loading transformer and the ambient temperature at the transformer substation #8 Pulogadung. Based on data analysis, we concluded that the aging of transformer affected by accretion expense (MW), the increase in the Hot-Spot Temperature and Temperature Top-Oil. Based on the loading maxsimum of the year 2016, 2017, 2018 and calculate loading forecasts at 2019, 2020, 2021, 2022, and 2023 in the follow RUPTL PLN 2019-2028 as result transformer #8 GIS New Pulogadung remain 4,67 year with a maximum of loading 40,421 MW.
What is on Social Media that is not in WordNet? A Preliminary Analysis on the TwitterAAE Corpus.

Natural Language Processing tools and resources have been so far mainly created and trained for standard varieties of language. Nowadays, with the use of large amounts of data gathered from social media, other varieties and registers need to be processed, which may present other challenges and difficulties. In this work, we focus on English and we present a preliminary analysis by comparing the TwitterAAE corpus, which is annotated for ethnicity, and WordNet by quantifying and explaining the online language that WordNet misses.
Emerging Technologies in The Audit Environment: Use and Perceived Importance Among Independent Auditors

To discover the possible weakness of knowledge and the use of a diverse group of technologies among independent auditors.The descriptive survey study was used to describe the level of usable importance of innovative technologies among 196 auditors and find any correlation between 31 emerging technologies and the audit firms' quality ranking.In general, this paper's results enumerate that Iranian auditors have a relatively acceptable knowledge and willingness to use emerging technologies, including Blockchain, Audit 4.0, etc. In auditing. However, due to various reasons such as lack of access to global markets, political and economic constraints, such facilitators are rarely used in auditing. For instance, technologies, including RPA, AI, and CPS, are not used by Iranian auditors. Although some items were deficient, the related tools' Importance level was moderate.This research suggests that due to businesses' failure to grow as much as innovative technologies, partners and decision-makers may believe that there is no need for emerging technologies in auditing. However, this may not be the case, as auditors generally emphasized that the importance level of technologies was moderate and high. There seems to be a positive correlation between audit firm's quality rankings and the use of emerging technologies in audit processes. There is no meaningful correlation between audit firms' quality rankings and the importance of emerging technologies.
DEEP LEARNING FOR IMAGE CLASSIFICATION IN DIFFERENT COLOR SYSTEMS

Image classification is one of the most fundamental applications in the field of computer vision, which continues to arouse enormous interest. People can recognize a large number of objects in images with little effort, even though a number of their characteristics can change. Objects can be recognized even when their detection is partially difficult. At the same time, algorithmic description of the recognition problem for computer implementation is still an urgent problem. Existing methods for solving this problem are effective only for certain cases (for example, for geometric objects, human faces, road signs, printed or handwritten symbols) and only under certain conditions. A model designed to identify and classify objects must be able to identify their location, as well as distinguish between various features of objects, such as edges, corners, color differences, etc. Deep convolutional neural networks have demonstrated the best performance when working with images, which sometimes exceeds the capabilities of human vision. However, even with this significant improvement, there are still some issues with overfitting and vanishing gradient. To solve them, some well-known methods are used: data augmentation, batch normalization and dropout; modern classification models do not perform color space conversion of original RGB images. The study of the use of different color spaces in the task of image classification is one of the topical problems related to deep learning, and it determines the relevance of this study. If this problem is solved, this will improve performance of the models used.
LibGuides: BrowZine: Making BrowZine Work for You

BrowZine is an online catalog featuring full text journals from multiple publishers, all in one place!
THE IMPORTANCE OF CROSS-CULTURAL UNDERSTANDING IN ENGLISH LANGUAGE LEARNING

Learning English as a foreign language is not only learning the four skills of language, reading, writing, speaking and listening, but also life skill to enable the learners to communicate .Language and culture are interrelated , hence, teaching and learning language will include the culture of its speakers. Language teachers must have knowledge of cultural understanding, Cross Cultural Understanding (CCU). It refers to basic ability to recognize, interpret and react to people and situations that are open to misunderstanding due to cultural difference. Different cultural background can create conflict, frustration, and even shock. Therefore, learners are expected to master about CCU, so that it would minimize or overcome such problems. They need to know properly the culture of the country and the people where the language is from. This is a review of literature research, based on the results from several previous study. This study reveals that there are some cultural knowledge that can be learned and taught to the students, while some others need to be practiced in the class room, or applied in the real classroom communication practice. Keywords : CCU (Cross Cultural Understanding), Foreign Language Learning
Entanglement instability in the interaction of two qubits with a common non-Markovian environment

In this work we study the steady state entanglement between two qubits interacting asymetrically with a common non-Markovian environment. Depending on the initial two-qubit state, the asymmetry in the couplings between each qubit and the non-Markovian environment may lead to enhanced entanglement in the steady state of the system, measured in terms of the two-qubit concurrence. Our results indicate that, if a qubit-qubit interaction is also present, the two-qubit steady state concurrence is always favored by the symmetric or anti-symmetric coupling configuration. Although finite, the steady concurrence is predicted to be highly unstable in this regime as long as the interaction between the two qubits is larger than the couplings between each qubit and the non-Markovian reservoir.
Designing Efficient Contact Tracing Through Risk-Based Quarantining

Contact tracing for COVID-19 is especially challenging because transmission often occurs in the absence of symptoms and because a purported 20% of cases cause 80% of infections, resulting in a small risk of infection for some contacts and a high risk for others. Here, we introduce risk-based quarantine, a system for contact tracing where each cluster (a group of individuals with a common source of exposure) is observed for symptoms when tracing begins, and clusters that do not display them are released from quarantine. We show that, under our assumptions, risk-based quarantine reduces the amount of quarantine time served by more than 30%, while achieving a reduction in transmission similar to standard contact tracing policies where all contacts are quarantined for two weeks. We compare our proposed risk-based quarantine approach against test-driven release policies, which fail to achieve a comparable level of transmission reduction due to the inability of tests to detect exposed people who are not yet infectious but will eventually become so. Additionally, test-based release policies are expensive, limiting their effectiveness in low-resource environments, whereas the costs imposed by risk-based quarantine are primarily in terms of labor and organization.
Exploring the Nexus between Governance, Domestic Investment and Economic Growth in the Maghreb Region.

The objective of this study is to investigate the interrelationship between governance, domestic investment and economic growth in Maghreb region by using a simultaneous equation model estimated by Generalized Method of Moments (GMM). In fact, the findings support a bidirectional relationship between economic growth and domestic investment, a unidirectional causal relationship between governance and economic growth, as well as between governance and domestic investment.
과학 수업에서 비주얼씽킹 도입에 대한 초등교사의 인식과 실행 - 교사 온라인 커뮤니티 자료를 중심으로 -

The purpose of this study is to investigate how elementary teachers perceive and practice using Visual Thinking (VT) in science classes. For this, we collected 161 VT teaching materials for science that uploaded on the elementary teacher’s online communities, and analyzed the characteristics. Also we interviewed four elementary teachers who have used VT in science class. The results are as follows. First, VT teaching materials shared in teacher’s online communities were most often used to review the science concepts that students learned. Most of the materials required ‘remember’ among the Cognitive Process, and most of them provided layouts for VT activities. Second, the participants were using VT materials to review the science concepts they learned, so that students remember them. Third, the participants were satisfied because of the beliefs of effects as follows: facilitating learning and reviewing what students had learned; increasing students’ positive reactions and confidence; learning through the interation among learners; the formation of habits thinking visually; indirect experiences of science class; possibility of class corresponding to learner characteristics. Fourth, the participants had difficulties in preparing for the VT science class, such as the burden of making VT materials, the long preparation time, concerns over overlapping contents, consideration of learners’ VT skills, and the themselves’ drawing ability. Furthermore, they also had difficulties in proceeding for the class, like different preference among learners about Visualization and loss of objectives in science class using VT. Fifth, the participants needed support as follows: platform to share students’ VT results; VT case books and teachers’ guidebooks; physical environment.
LibGuides: Research Data Management: Sources of data

A guide to managing outputs of research projects and handling issues such as copyright and data protection laws