Reviewerly/exHarmony huggingface dataset:
Lightweight framework for interconnecting virtual and real things via Node-RED

Key innovative technologies for I4.0 are Internet of Things (IoT), Cyber-Physical Systems (CPSs), self-organizing machines (M2M), cloud computing, big data and Mixed Reality (MR). Microsoft HoloLens2 (HL2) is the new MR revolution for Industry 4.0. The proposed study addresses the potential of Node-RED IoT platform and HoloLens2 for interconnecting virtual and real things from the current scene in the MR window. The augmented holograms on scenes interface the physical object and link behaviours to them seamlessly and regardless of their heterogeneous technologies. A lightweight framework for interconnecting virtual and real things in HoloLens 2 via Node-RED is proposed. The framework uses open-source tools and standard protocols like IoT protocols, Microsoft WebSocket, MRTK for Unity, HL2 APIs and Node-RED nodes used to interact with Python or ROS processes. More detailed experimental analysis will be performed in the future in order to prove that this framework is enough practicable and stable.
Characteristic Analysis and Investigation Strategy of Computer Network Crime

Abstract This article analyzes the basic characteristics of computer network crime, including diversity, concealment, severity. The research content of this article combines the key points of application of electronic forensics technology, network investigation technology, and network tracking investigation technology. The author studied how to determine the investigative strategy, implement temptation investigation, and do a good job of monitoring and tracking coping strategies. The purpose of this article is to speed up the investigation of computer network crimes and improve the efficiency of solving cases.
Claims, Roles, and Confirmations

In this chapter, I continue to add features to the store and build administration tools that use those features through the UserManager<T> class. I start by adding support for storing and managing claims and then use these features to add support for roles, which are given special status in ASP.NET Core and ASP.NET Core Identity because they are so widely used. I also show you how to generate and validate confirmation tokens, which are used to ensure that a user can access the email address or phone number they provide. Table 17-1 puts these features in context.
Quantum two-state sharing

In this paper, we propose a novel scheme for quantum two-state sharing (QTSS) by using a five-qubit entangled state as the quantum channel. In this scheme, a dealer Alice has two unknown quantum states and wants her three agents to share the quantum states. After the dealer performs a four-qubit measurement on her qubits, and the controller employs a single-qubit measurement on his own qubit, the state receivers can reconstruct the original states by using the appropriate unitary operations. It is shown that, only if all agents collaborate with each other, the QTSS can be completed with unit success probability.
TEACHING READING USING SMALL GROUP DISCUSSION WITH SHORT STORIES TO INCREASE VOCABULARY AT SMK N 5 SURAKARTA

The aims of this research are to: (1) describe the use of small group discussion with short stories in teaching reading at SMK N 5 Surakarta and (2) identify the students’ responses to the use of small group discussion technique with short stories used by the teacher in teaching reading at SMK N 5 Surakarta. This study conducted using a descriptive qualitative research. The researcher did this research at SMK N 5 Surakarta. The subjects were the English teacher and the tenth grade students of SMK N 5 Surakarta in 2020/2021 academic year. The data in this research were the interview transcripts and some documents, syllabus, lesson plan, and teaching materials. Those data were collected through interviews, questionnaire, and document analysis. The analysis of the data, it was found that (1) The English teacher used short stories with small Group Discussion. Short stories in small group discussion functioned to enhance the learners’ vocabulary acquisition. There are three steps: Pre-activities, Whilst-activities, Post-activities. (2) Most of the students give a positive responses toward the use of Small Group Discussion in teaching reading. In conclusion, Small Group Discussion was a good way to teach reading and obtain positive responses from the students.
Alignment of Dialogue Models

The chapter shows how interlocutors achieve alignment of dialogue models -- that is, both situation models and dialogue game models. Such alignment is the basis of successful dialogue. We discuss the importance of co-reference for alignment of situation models. We then consider the role of meta-representation of aiignment in dialogue and how this controls what people choose to say next. We consider the relationship between focal alignment of dialogue models and what is in the shared workspace. Finally, we discuss the relationship between alignment and common ground.
Information Seeking Behavior of College Students During the Pandemic Covid-19: Case Study at Bukit Parung Asri Housing

The emergence of the global Covid-19 pandemic has led to changes in learning activities that were initially carried out face-to-face to being completely at home, of course affecting changes in college students' information-seeking behavior, who can usually use printed information sources to become all digital.For this reason, this research was conducted to be able to find out how the information-seeking behavior of college students at Bukit Parung Asri Housing in fulfilling the need for lecture information during the pandemic.The method used in this research is a qualitative method with data collection techniques through interviews and literature studies.Based on the results of the study, it can be concluded that college students who live in Bukit Parung Asri Housing tend to be more able to implement electronic collections rather than printed ones and have information-seeking behavior that is by David Ellis' search behavior model theory.During the search process, there were obstacles to the internet network and also information sources that had limited access.
On Professional Self-Determination of Philosophy Teachers in Russia

In the beginning of this paper, the author presents a critical analysis of “The Carnival Time: Russian High School and Science in the Postmodern Era” by P. A. Orekhovsky and V. I. Razumov who scrutinize ongoing degradation in Russian science and education. This crisis is a local variation of deep global crisis (described among others by B. Readings (1996)). Their article represents such a particular feature of humanities in Russian higher educational institutions, as systematic lack of attention to personal educational interests of students that unavoidably leads to certain monologicity. Before now, there has been gnoseological inequality between teachers and students. Thereby, objectives and content of education were predetermined. Global crisis of education is grounded by factual disappearance of this inequality. However, one can appreciate new possibilities for philosophy teachers to live on according to their professional self-determination. In the second part of the article, it is proposed to evaluate the situation from the standpoint of dedicated philosophers for whom teaching is the most appropriate way to fulfill their professional self-determination. Philosophy is a unique profession, where it is barely impossible to separate professional thinking of a philosopher from the practice of teaching Philosophy. To teach philosophy is to philosophize. In this paper, the author considers the term ‘self-determination’ as creation of general value grounds of the philosophy teachers’ practical (everyday) activity, which provides every professional activity with justification as reasonably necessary to establish these values. Self-determination establishes a bridge between personal ethics and everyday practical life decisions. In order to implement their self-determination, philosophers need educational situations. Therefore the main proposition of this paper is that philosophy teachers have a chance to take advantage of the ongoing situation if they develop self-determination and explore educational interests of prospective students.
Exploring Neural Language Models via Analysis of Local and Global Self-Attention Spaces.

Large pretrained language models using the transformer neural network architecture are becoming a dominant methodology for many natural language processing tasks, such as question answering, text classification, word sense disambiguation, text completion and machine translation. Commonly comprising hundreds of millions of parameters, these models offer state-of-the-art performance, but at the expense of interpretability. The attention mechanism is the main component of transformer networks. We present AttViz, a method for exploration of self-attention in transformer networks, which can help in explanation and debugging of the trained models by showing associations between text tokens in an input sequence. We show that existing deep learning pipelines can be explored with AttViz, which offers novel visualizations of the attention heads and their aggregations. We implemented the proposed methods in an online toolkit and an offline library. Using examples from news analysis, we demonstrate how AttViz can be used to inspect and potentially better understand what a model has learned.
The body scan practice

Many participants comment on how challenging the body scan practice is compared to mindful movement and sitting practices. A key intention of the body scan practice is to bring awareness and gentle inquiry to the sensations directly felt as the participant focuses attention on one part of the body after another. The body scan teaches a way to shift from modes of 'thinking-doing' to a mode of 'sensing-being' and illustrates how the people often judge ourselves harshly for loosing attention, which can lead to unhelpful inner dialogue and rumination. It shows the reader that how the people handle difficulties that arise during practice is what makes the difference. The body scan practice illustrates how over-identification with the people body image can lead to self-criticism; being connected to the direct experience of sensation can help the reader 'feel more at home in their body'.
LibGuides: Guided Pathways: School of Business, Health, and Human Services

This guide will outline the ways in which the library can support Guided Pathways efforts at Moreno Valley College.
Security Implementation by Machine Learning Based Face Recognization with SVM

Face detection is a computer technology being used in a variety of applications that identifies human faces in digital images. Face detection also refers to the psychological process by which humans locate and attend to faces in a visual scene. Face detection can be regarded as a specific case of object-class detection. In object-class detection, the task is to find the locations and sizes of all objects in an image that belong to a given. As per the various face detection system seen various work done onto the detection with various way. In existing this are get evaluate with the HOG with SVM, which will help us to get the exact value so that it is necessary to implement the system which will more effective and advance. As per the face detection seen there are various face detection systems are implemented. Determining face is easy but recognition is quite typical so that we are proposed machine learning based face recognition with SVM which helps to determine and detect the faces So the proposed system will get integrated with highly efficient and effective SVM model for face recognition. The proposed methodology will help us to implement the face based security implementation in any security system like door lock, mobile screen lock etc.
LibGuides: Library Orientation: Home

The purpose of this guide is to introduce you to services and resources available at your Library.
Wavelet-based super resolution of downsampling-based compressed video

Downsampling performed prior to encoding in video compression discards the high-frequency information of the original video frames. This necessitates super resolution (SR) to recover the lost information after decoding. In this paper, we propose a framework for the downsampling-based video compression problem along with a method for wavelet-based SR. We develop a framework by integrating the downsampling and transform steps of the conventional models. We then use the proposed SR method implemented directly on the wavelet sub-bands at the decoder side. Experimental results demonstrate the superiority of the proposed method in comparison with the conventional techniques employed for resolution enhancement of decoded videos.
HUMAN BEHAVIOR RECOGNITION BASED ON CONVOLUTIONAL NEURAL NETWORK (CNN)

Individually working up on collection of human behaviour identification structure supported the Convolution Neural Network created for the precise behaviour of human in publicly places. Essentially, a video with some behaviors of human information sets are divided into pictures. Subsequently, we have a tendency to method all the pictures by using a vigorous mechanism called background subtraction which detects the changes in order of images that helps in finding many applications. For instance the coaching information set area unit are up skilled with an outline of CNN model, and  the deep learning networks are made of random Gradient descent used for updating the framework of our model. Ultimately, assorted behaviors with samples area unit are systematized and known with the acquired system replica. Therefore, area unit will equate the present thought ways.  Upshot displays that  Convolutional Neural Network will analyse the human behaviour model mechanically and determine the behaviour of human without any metadata.
Bike Buyer Prediction

Bike Buying System is an appearing approach of the transport in the global. Industries are trying to structure a bike share system. Previously they botched to use data analytics genuinely. That forecast the utilize such system that will be kind for the customers to plan their journey. There may be a chance that bike stores can be filled or vacant when a traveler comes to the store. The dependent variable can be categorized into levels, so this problem falls under Classification algorithms in machine learning. To predict the output or dependent variable in Classification algorithms, have different algorithms. They are Logistic Regression, KNN (k-Nearest Neighbor), Linear SVM, Gaussian SVM, Decision tree, Random forest. By comparing various algorithms results, we produce best accuracy.
중‧고령자의 노후 준비도가 성공적 노화에 미치는 영향

The purpose of this study is to verify the relationship of the influence of the sub-variables of retirement readiness of middle-aged and elderly people on successful aging, and to increase the improvement of successful aging by verifying the mediating effect of family resilience and social support in the process of affecting them. s The main research results according to the research questions et in this study are summarized as follows. First, in the relationship of the effects of retirement readiness on successful aging, it was found that physical readiness, emotional readiness, economic readiness, and social readiness, which are sub-factors of the retirement readiness, had a significant effect on all sub-variables. These results can be seen that successful aging increases when the retirement readiness is high. Second, in the effects of retirement readiness on family resilience and social support, retirement readiness had a significant effect on family resilience and social support. These results show that the higher the retirement readiness, the higher the family resilience and social support. Third, in the effects of family resilience and social support on successful aging, it was found that family resilience and social support had a significant effect on successful aging. These results indicate that successful aging increases when family resilience and social support are high. Finally, it was found that family resilience and social support had mediating effects in the relationship between retirement readiness and successful aging.
Perawatan Koleksi Naskah Lontar di Perpustakaan Dinas Kebudayaan Pemerintah Provinsi Bali

The purpose of this research was to find out the treatment of lontar manuscript collections at theLibrary of Dinas Kebudayaan Pemerintah Provinsi Bali. This research uses a descriptive researchmethod with a aqualitative approach. Data collection techniques used are observasion to the library,conducting interviews, documentation and literature. The informant on this research are 3 (three)informant, consistof the head of the inventory section for maintaining cultural documentation, alibrarian and a library afficers at the Library of Dinas Kebudayaa Pemerintah Provinsi Bali. Thisresearch was conducted during February-May 2019. The damage that occurs in the collection ofpalm-leaf manucripts in the Library of Dinas Kebudayaan Pemerintah Provinsi Bali is writing that usfaded, dry or moist. The treatment of lontar manuscript collection is done by smearing lemongrassoil that has been mixed with alcohol and giving pecan charcoal to the lontar manuscript.
INCREASING VOCABULARY MASTERY OF THE TENTH GRADE STUDENTS AT SMK NEGERI 1 GALANG THROUGH SONG

This research belongs to experimental design with pre-test and post-test activity. The objective of the research is to find out how Song can increase the students’ achievment in vocabulary mastery. Sample of the research were 25 students’ of tenth grade of SMK Negeri 1 Galang. In doing this research, the researcher used a media or Song of production. The data analysis of the research was quantitative measurement to find the mean. Based on the data analysis from pre-test and post-test activity. Based on the result, it was found that the use of Song in teaching English is effective to increase the students’ vocabulary mastery and very beneficial for the students in order to facilitate them in learning English. Based on this finding, it is suggested that Song in teaching English can be recommended for the English taecher. but the English teacher should select appropriate Song to the students’. Keywords : increasing, Vocabulary, Mastery, Song.
IRNLP_DAIICT@LT-EDI-EACL2021: Hope Speech detection in Code Mixed text using TF-IDF Char N-grams and MuRIL

This paper presents the participation of the IRNLP_DAIICT team from Information Retrieval and Natural Language Processing lab at DA-IICT, India in LT-EDI@EACL2021 Hope Speech Detection task. The aim of this shared task is to identify hope speech from a code-mixed data-set of YouTube comments. The task is to classify comments into Hope Speech, Non Hope speech or Not in language, for three languages: English, Malayalam-English and Tamil-English. We use TF-IDF character n-grams and pretrained MuRIL embeddings for text representation and Logistic Regression and Linear SVM for classification. Our best approach achieved second, eighth and fifth rank with weighted F1 score of 0.92, 0.75 and 0.57 in English, Malayalam-English and Tamil-English on test dataset respectively
LibGuides: English Resource Guide: Citation Generators

A guide from Funderburg Library on how to use library resources to do research for your English and journalism classes.
Application of Knowledge Management Requirements in the Mining Industries Sector from the Employees' Point of View: A Suggested Case Study on the Jordan Phosphate Mines Company

The study aims to develop a research model to identify the requirements of knowledge management in the mining sector from the perspective of employees, by examining the relationship between knowledge management requirements (organizational culture, management leadership, organizational structure and information technology) and the application of knowledge management in the mining sector, in order to determine the reality of knowledge management requirements in Jordanian phosphate in the development, management, production and manufacture of phosphates resulting in more efficient production, while the study made several recommendations, such as holding a series of workshops and conferences to introduce a knowledge management culture, designing a central database in various sectors, including the mining industry, to store and exchange knowledge, focusing on infrastructure and technology and allocating financial and intellectual resources. This is to establish effective communication networks in the mining sector.
LibGuides: Library Orientation: Library Layout and Facilities

The purpose of this guide is to introduce you to services and resources available at your Library.
보육교사의 직무스트레스가 교사와 영유아와의 상호작용 관계에서 사회적지지의 매개효과

The purpose of this study was to analyze the effect of job stress that a child care teacher perceives on the interaction between teachers and infants and to verify the mediated effect of social support. Through this, we recognized the importance of interaction between teachers and infants who directly affect the quality of child care and provide basic data on improving social support for child care teachers and improving social systems and policy making to relieve job stress. Studies have shown that although the job stress of child care teachers did not directly affect the interaction of infants, it showed an negative correlation to social support and a positive correlation between the interaction of teachers and infants. Social support has also been shown to act as a medium. In other words, the job stress of child care teachers, social support, and interaction between teachers and infants have significant correlation, and when the job stress of child care teachers is low and social support is high, the interaction between teachers and infants has been shown to have a positive effect.
Using Machine Learning Techniques to Classify the Interference of HPC applications in Virtual Machines with Uncertain Data

This work aims to predict the level of interference caused by concurrent access to shared resources, such as cache and main memory, that can drastically affect the performance of HPC applications executed in clouds, by using some well-known machine learning techniques. As the user does not know the exact number of resource accesses in practice, we propose a human-readable categorization of these accesses. The used dataset contains information about synthetic and real HPC applications, and, to reﬂect the uncertainty of the user categorization, we inserted some noisy data in it. Our results showed that our approach could correctly predict the level of interference in most cases, indicating that it can be a practical solution.
On the Issue of the Need to Adopt a Strategy for Legal Education and Upbringing of Youth in the Russian Federation

At present, in Russia, the younger generation's legal upbringing is one of the priority areas of modernising state educational policy.It is based on a system of knowledge and understanding of the law and actions aimed at their practical implementation, which is directly related to the state of education and upbringing in society.The main issue in the modernisation of education should be the expansion and deepening of the legal knowledge of students and the cultivation of legal behavior, the development of strong legal traditions, and the direct overcoming of legal nihilism.This study aims to develop a mechanism that can increase the level of legal awareness among young people and overcome legal nihilism.Based on the theoretical analysis of scientific literature, the system of normative legal acts, the results of a sociological survey, authors concluded that in achieving the designated goal, the educational environment occupies a fundamental but not an exhaustive place, and the globality of the considered problem necessitates the involvement of all mechanisms of the state in its resolution and civil society.These circumstances require adopting the Strategy of Legal Education and Upbringing of Youth as a document of strategic planning at the federal level.