Reviewerly/exHarmony huggingface dataset:
Once upon a Time, 'about 1.170 Results': Exploring Search Engines as Narrators

With more of our lives moved into the online realm, we increasingly appear to others as digital representations. Unsurprisingly, these representations can become reason for concern. The European Commission sought to address some of these concerns by, next to other means, introducing the notorious art. of the General Data Protection Regulation, the right to erasure (right to be forgotten). The article has been used in relation to a key application that can present a digital representation of us to Web users, namely search engines. This gave rise to a heated discussed that understood search engines in diverse, opposite, manners: as neutral intermediaries on the one hand, and as processors that do additional things to content on the other. In order to contribute to the ongoing societal and legal discussion, I suggest to research the nature of the problems from a mixed philosophical perspective. As I will argue, these problems go beyond the increased accessibility of the content in space and time. Drawing on information theory and Ricoeur’s work on meaning and narrative identity, I explore how search engines imprint a certain technological directionality on the content they present. Search engines appropriate content shared by others and transform, reframe, and reorder this content in their new value perspective to offer it to a new audience on their own terms. As a search engine reconfigures appropriated content into an algorithmically driven plot — albeit a plot with a very thin storyline —, it becomes a new storyteller. In the search engine's 'story', the identity of human beings is framed and narrated in a spectacular manner where even the mundane or distant past can become a defining element of the referent. While online technologies could in theory be employed to support our identity and autonomy, we currently seem to have lost control over our narrative, at least in the most pivotal of applications.
Penilaian Kapabilitas Tata Kelola TI Perguruan Tinggi dengan Framework COBIT 5 dan ITIL V3

The intention of doing the research is to formulate an assessment model of higher education IT governance capability, by integrating two frameworks, namely COBIT 5 and ITIL V3. Currently, there is no academic organization that has fully formulated a measurement model for IT governance capabilities that can be adopted to manage both governance and services. To achieve the goal of this research will be measured needs to be done using the COBIT 5 framework as a tool to get the capability level of IT governance. Next will measure the level of capability of existing IT services with ITIL V3. The proposed model was obtained from the measurement activities using COBIT 5 domain, namely EDM02, EDM03, APO01, APO04, APO07, APO12, and APO13. After measuring, sevens processes that lead to IT governance and IT services are evaluated, namely evaluating, directing, and overseeing the delivery of benefits and managing IT service portfolios and optimizing risks; manage IT management frameworks and carry out seven steps to improve IT processes; managing innovations in higher education; managing human resources; managing capacity; manage risk and manage information security. The model generated from this research is expected to serve as a best practice for Universities in Indonesia in implementing Good IT Governance
Optimal Trajectory Generation for Intelligent Vehicles in Complex Traffic Based on Iteration Convex Optimization

Intelligent vehicles face considerable challenges in the complex traffic environment since they need to deal with various constraints and elements. This dissertation puts forward a novel trajectory planning framework for intelligent vehicles to generate safe and optimal driving trajectories. First, we design a spatiotemporal occupancy framework to deal with all kinds of elements in the complex driving environment based on the Frenét frame. This framework unifies various constraints on the road in the three-dimensional spatiotemporal representation and clearly describes the collision-free configuration space. Then we use the convex approximation method to construct a time-varying convex feasible region based on the above accurate temporal and spatial description. We formulate the trajectory planning problem as a standard quadratic programming formulation with collision-free and dynamics constraints. Finally, we apply the iterative convex optimization algorithm to solve the quadratic programming problem in the time-varying convex feasible region. Moreover, we design several typical experimental scenarios and have verified that the proposed method has good effectiveness and real-time.
Copy Move Forgery Detection Techniques: A Comprehensive Survey of Challenges and Future Directions

Digital Image Forensics is a growing field of image processing that attempts to gain objective proof of the origin and veracity of a visual image.Copy-move forgery detection (CMFD) has currently become an active research topic in the passive/blind image forensics field.There has no doubt that conventional techniques and especially the keypoint based techniques have pushed the CMFD forward in the previous two decades.However, CMFD techniques in general and conventional techniques in particular suffer from several challenges.And thus, increasing approaches are exploiting deep learning for CMFD.In this survey, we cover the conventional and the deep learning based CMFD techniques from a new perspective.We classify the CMFD techniques into several classifications according to the detection methodology, the detection paradigm, and the detection capability .We discuss the challenges facing the CMFD techniques as well as the ways for solving them.In addition, this survey covers the evaluation metrics and datasets commonly utilized for CMFD.Also, we are debating and proposing certain plans for future research.This survey will be helpful for the researchers' as it master the recent trends of CMFD and outline some future research directions.
APPLYING MULTISENSORY APPROACH TO PROMOTE ENGAGEMENT IN PRIMARY ENGLISH HOME-BASED LEARNING

This paper introduces the multisensory approach as a way of teaching that promotes engagement by involving the learners’ senses of sight, hearing, touch, and physical movement. This paper aims to describe the teachers’ role in applying multisensory approach in Primary English Home-based learning, find the benefits and challenges in applying multisensory approach, and provide strategies to overcome the challenges. This study uses qualitative descriptive as the research method and the data was taken from the researcher’s reflections, lesson plans, observation reports and mentor’s feedback. This study shows that multisensory approach positively promoted engagement in primary English home-based learning. Several classroom activities that can be used in applying multisensory approach are Total Physical Response, color codes, storytelling, art & craft, and interactive PowerPoint. The challenges occurred from technicalities and monitoring the students’ behavior. Therefore, parents’ involvement is highly required to monitor students’ behavior in home-based learning process. For the next researcher, it is suggested to find ways to maximize home-based learning by maintaining social interaction among students.
The Role of Education and Internet User for Encourage Indonesian Economic Growth in The Digital Era

This study aims to examine patterns of data change on investment in education, technology, and economic growth in Indonesia. By examining the behavior of investment data in education, technology, and economic growth, it can be predicted the opportunities for encouraging economic growth in terms of education and technology so that it can be seen how big the role of education and technology is in driving economic growth in Indonesia.This study examines the relationship between internet users, education, and economic growth in Indonesia. To achieve this goal, the Quantitative Threshold Autoregressive method is used to predict data behavior so that the relationship between data behavior and the relationship between variables of internet users, education, and economic growth can be known. Internet users as an indication of internet technology literacy have an impact on the Indonesian economy. The push for internet users in Indonesia is on the supply side, where there has been an increase in production, including starting new internet-based businesses in Indonesia. Education plays a role in encouraging community productivity through increasing human capital and mastery of technology so that education and technological literacy as indicated by the increase in internet users in Indonesia encourage each other to increase Indonesia's economic growth.
Authorship of AI Generated Works under the Copyright Act, 1957: An Analytical Study

With the recent development of artificial intelligence (AI), increasingly creative works have been created by non-human authors. AI is now capable of producing complex creations which becomes indistinguishable from works made by human beings. Traditionally the authorship of copyright in computer generated works was not in question because the program was merely a tool that supported the creative process, very much like a pen and paper. However, with the latest types of artificial intelligence, the computer program is no longer a tool and it actually makes many of the decisions involved in the creative process without human intervention. Section 2(d) of the Copyright Act, 1957 in India defines ‘author’ in the context of different copyrightable works but does not make any reference to the legal personality of the author. The present study explores the feasibility and implications of this assertion. It addresses the scope of the definition of ‘person’ in the Copyright Act, 1957 and examines whether AI can be considered as author. Consequently it analyses the implications of including AI as author of copyrighted work. It further analyses the implication of granting authorship to AI and the problems of handling legal responsibilities arising out of such authorship. Therefore, the study contends that AI cannot be considered as author since they will not be able to discharge legal responsibilities. Drawing analogy from the ‘Lavery’ decision, this paper argues that in the absence of having the legal capacity to claim remedies for copyright infringement, the argument of extending copyright protection to AI generated works will fail.
Il documento bibliografico: alcune considerazioni sul concetto e sul termine

A proposal to define the concept of bibliographic and a critique of the proposal to replace the term document with resource.
Important Topics in Blockchain

Blockchain is an emerging technology that can radically improve transactions security at banking, supply chain, and other transaction networks. It's estimated that Blockchain will generate $3.1 trillion in new business value by 2030. Essentially, it provides the basis for a dynamic distributed ledger that can be applied to save time when recording transactions between parties, remove costs associated with intermediaries, and reduce risks of fraud and tampering. This book explores the fundamentals and applications of Blockchain technology. Readers will learn about the decentralized peer-to-peer network, distributed ledger, and the trust model that defines Blockchain technology. They will also be introduced to the basic components of Blockchain (transaction, block, block header, and the chain), its operations (hashing, verification, validation, and consensus model), underlying algorithms, and essentials of trust (hard fork and soft fork). Private and public Blockchain networks similar to Bitcoin and Ethereum will be introduced, as will concepts of Smart Contracts, Proof of Work and Proof of Stack, and cryptocurrency including Facebook's Libra will be elucidated. Also, the book will address the relationship between Blockchain technology, Internet of Things (IoT), Artificial Intelligence (AI), Cybersecurity, Digital Transformation and Quantum Computing. Readers will understand the inner workings and applications of this disruptive technology and its potential impact on all aspects of the business world and society. A look at the future trends of Blockchain Technology will be presented in the book.
Environmental friendliness of educational innovations and agency of consumption of educational services

The environmental imperative is one of the leading imperatives of our time. Its understanding varies widely in different contexts. One such object is educational innovation. The theoretical basis of variations is two main groups of ideas: 1) the idea of development as a process and a result of gradual, “stable”, often “planned” / projected quantitative “accumulations”, and 2) the idea of development as a crisis, coupled with periods of abrupt / revolutionary, “emergent integrative and qualitative transformations, the exit of the system from the state of homeostasis to a new state, transparent for its members. The purpose of the study is to analyze the problems of environmental friendliness of educational innovations in the context of ensuring the subjectivity of the consumption of educational services. The research method is a phenomenological theoretical analysis of the problems of educational innovations within the framework of traditional and modern concepts of the development of society. The concept of the development of society, reflecting the general ideas about its functioning and improvement, as well as the formation and development of its members, acts as the basis for education reforms. Each of the concepts provides its own view of the forms and goals of education as a process of formation and improvement of subjectivity.
Blockchain-based Solutions for COVID-19

Currently, the entire nation has been gripped by a virus known as the SARS-CoV2 or COVID-19. Due to the high transmission rate and lack of proper knowledge and management about this novel virus, the graph of infected people and mortality rate goes high. This is an alarming call for the upgrade of existing health services. The conventional healthcare system fails to manage this situation effectively. The existing health system is based on centralized control and faces undesirable interference during the data sharing process. This limits the efficiency of traditional healthcare services. A new technology termed “Blockchain” acts as a distributed database along with synchronized and verified information. Being a decentralized and distributed technology, it can be used as an amazing asset for day-to-day applications. Medical services are one of the areas with specific applications where blockchain should have an intense effect. It is prompting a wide extent of chances and potential outcomes in the existing medical care scenario. Thus this chapter will focus on the opportunities of this emerging technology in Medicare. Moreover, the chapter will also cover general challenges faced during the COVID-19 pandemic, promising use cases for blockchain technology in healthcare, prominent advantages of blockchain technology for COVID-19 pandemic, and application of blockchain technology in combating COVID-19. Though the adaptation of this technology on a mass scale won’t be easy, hence an exclusive section is dedicated to cover potential difficulties that blockchain in medical services could confront.
ANALISIS PEMAHAMAN PERILAKU MAHASISWA MENGGUNAKAN ELEARNING: PERSPEKTIF MODEL TAM PADA POLITEKNIK

The study examined a technology acceptance model (TAM) perspective on electronic learning using Polytechnic students. The study was conducted on Politeknik Negeri Semarang students who had and were using Elnino as official electronic learning, using structural equation modeling (SEM) analysis. Empirically the results presented a technology acceptance model in online learning, with the determinant of behavioral intentions is the perception of belief in the usefulness of Elnino. At the same time, the attitude towards the use of Elnino is determined by the perception of belief in the usefulness, ease of use, and social, environmental norms of Polines students. Self-confidence and accessibility on the Elnino have an indirect effect on the use attitude, through the perception of belief in the usefulness and ease of use of Elnino. Keywords: E-Learning, technology acceptance, attitude of e-learning, behaviroal intention
LibGuides: Social Media: Library Resources

This guide provides resources pertaining to social media and its effect on society. It is primarily geared toward students who have selected Social Media as the topic for their research and writing assignments.
Celebrating Lynne C. Howarth: Scholar, Educator, Colleague, Mentor

Few people have had as outsized an impact on their field or profession as Lynne C. Howarth, one of her generation’s preeminent cataloging and classification theorists.
LibGuides: Music Studio Specific Resources: Percussion

These resources are highlights from our collection and are all available right now at CWU Brooks Library! Arranged by studio.
Moving Object Detection with Deep CNNS

Object detection has been playing an increasingly important role in many fields in recent years. Object detection is a still challenging task because, for the group of people, each individual has his unique appearance and, body shape. Compared with the traditional method, the deep learning neural network has the advantages of shorter computing time, higher accuracy and easier operation. Therefore, deep learning met classifichod has been widely used in object detection. The current state of art in object detection is Retina Net. Among all the deep learning approaches, Retina Net gives the highest accuracy of object detection (Lin, Goyal, Girshick, He, & Piotr Dollar, 2018).The temporal component of video provides additional and significant clues as compared to the static image. In this paper, the temporal relationship of the images is utilized to improve the accuracy of object detection. Compared to using only an image, the accuracy of object detection is 21.4% higher when a sequence of images is applied.
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KINERJA SISTEM INFORMASI AKUNTANSI PADA PERUSAHAAN DAERAH PASAR KOTA DENPASAR

Many companies are experiencing problems in this pandemic situation, some agencies are implementing work from home for their employees, this is certainly a new challenge for all companies to continue to optimize information technology-based services that can be done from home so as to maintain the performance of information systems, one of which is accounting information system. The purpose of this research is to find out the factors that influence the Performance of Accounting Information Systems in the Denpasar City Market Area. The independent variables in this study are the influence of the training program, top management support, task complexity and personal technical ability and the dependent variable in this study is the performance of the accounting information system. The sampling technique used in this study was purposive sampling with a sample of 55 employees. The data analysis technique used is multiple linear regression analysis techniques. The results of this study indicate that top management training programs and support have a positive effect, task complexity has a negative effect on the performance of accounting information systems. While personal technical ability does not affect the performance of accounting information systems.
A Still Image Compression Scheme with Joint Probability Based Scanning of a Bit Plane Using Golomb-Rice Code

In this paper, a modified JPEG2000 still image compression system has been proposed. A three level decomposition of Daubechies 9/7 Discrete Wavelet Transformation has been first applied to the entire input image. Then, scalar quantization is used to decrease and round off the transformed coefficients. The quantized coefficients are then subjected to bit modeling in each bit plane. A joint probability statistical model based significance selection has been proposed to select the significant bit for entropy coding with two scan coding technique. In this proposed work, after selecting all the significant bits in a particular bit plane, a geometrically distributed set of context is modeled and subjected to encode with Golomb-Rice coding to give compressed data. The decompression is effected with a simple, respective inverse operation. The proposed system has been experimented with standard benchmark images and the standard performance measures, Compression Ratio and Peak-Signal to Noise Ratio are used to evaluate the result.
Using Distributed Cloud Computing to Solve Resource-Intensive Tasks

A method for solving resource-intensive tasks that actively use the CPU, when the computing resources of one server become insufficient, is proposed. The need to solve this class of problems arises when using various machine learning models in a production environment, as well as in scientific research. Cloud computing allows you to organize distributed task processing on virtual servers that are easy to create, maintain, and replicate. An approach based on the use of free software implemented in the Python programming language is justified and proposed. The resulting solution is considered from the point of view of the theory of queuing. The effect of the proposed approach in solving problems of face recognition and analysis of biomedical signals is described.
Analisis Pola Persebaran Pencemaran Air Tanah di Sekitar Penambangan Sumur Minyak Tua Desa Wonocolo, Kedewan, Bojonegoro

Wonocolo Village is a traditional old oil well mining tourism area in Kedewan District, Bojonegoro Regency. This existence affects water quality because it is one of many factors causing groundwater pollution. The purpose study is to determine the distribution pattern of pollution such as iron, manganese, and zinc due to oil mining. Moreover, the study predicts the pattern of distribution of pollution in groundwater over a certain period of time. The method used for this study is groundwater modeling (MATLAB). Thus, determination of sampling based on SNI 6989.58:2008 with 3 (three) sampling points. The determination of the distribution pattern uses the parameters such as Iron, Manganese, and Zinc. The simulation results of the 2-dimensional distribution model and in the range in the next 18 years and 50 years. The prediction result for iron content is still in good condition. Meanwhile for manganese content and zinc content will be polluted after 50 years with a detected distance of ± 1150 m and ± 1400 m respectively from the contaminant source point.
LibGuides: Writing and Research: Searching

This Guide will provide you with some resources that will help you in your research and your writing Strategies for searching the library catalogue and databases, as well as general research strategies.
TaiwanICDF and National Taiwan Normal University Cooperate on One-To-One Overseas Online Mandarin Courses

The TaiwanICDF has collaborated with the Department of Chinese as a Second Language at National Taiwan Normal University (NTNU) since this July, uniting teaching resources of both sides to benefit students in partner countries and expand the diversity of M
Seguir Comunicándonos en tiempos de Pandemia.

The reflection that is presented, seeks to show the need to continue communicating in times of pandemic.  This exercise is essential in the training of professionals in the undergraduate, especially for students in the health area, who in recent times have had to complement their face-to-face training with virtual learning spaces. It is necessary to foster social and affective skills for professional performance.
Holt Library: Early Childhood Education: Books

Learn about child growth and development, nutrition, physical development, and communication skills and to foster the cognitive, physical, social, and creative development of young children.