Reviewerly/exHarmony huggingface dataset:
Unsur Teks Berita Pada Koran Jawa Pos Dan Pemanfaatannya Sebagai Bahan Ajar Siswa SMP Kelas VIII

This research aims to describe (1) news component of Jawa Post Newspaper in 2018-2019 edition, (2) it’s usage as an Indonesian learning material for 8th grade of Junior High School students. This kind of research uses qualitative- descriptive method. Data in this research is a news from newspaper. The data source is Jawa Post Newspaper in 2018-2019 edition. This collecting data uses of observing and writing technique, for the data source is a text. Validity of this research uses triangulation theory. The data analyzing uses agih method. Result of this research states that the news in Jawa Post Newspaper in 2018-2019 edition does not always fulfill all components. Components that always noted in the news are what and who, while component that’s not always noted in the news are why in data 5, where component in data 10, 12, 13, dan 14, when component in data 3, 5, 8, 9, 10, dan 14, and how component in data 1, 13, dan 14. The complete analyzing result can be implemented an Indonesian learning material for 8th grade of Junior High School students, while one with uncomplete components can be used as questions by command to complete component that is not stated in the text.
Quantum Theory of Circuit Systems – I. Aspects of Symmetry Principles and a Generalization of the Nonlinear Schrödinger Equation in Charge Space

The quantization of circuits finds many interesting applications, e.g. quantum computer, molecular and biophysics. The method can be extended to nuclear physics, if the exchange interactions between nuclear particles are described by currents. A system of mutually coupled circuits can be treated by the linear Schrodinger equation yielding symmetries such as SU2, SU3, SU4, etc. A generalization of the principles to a nonlinear/nonlocal Schrodinger is presented; the nonlocal exchange between elementary particles is mediated by a Gaussian kernel (integral transform) in the charge space. The SU3 (or SU4, if four charges Q1,…,Q4 are accounted for) are used as the basic structure of the circuits. In nonlocal fields these symmetries hold, in the same fashion, too, but the energy levels are not equidistant as it the case at circuit quantization, equivalent to the 3D harmonic oscillator. The Gaussian kernel assumes zero value in the positive half-plane with E > 0. To avoid this hindrance a kernel is proposed, which only uses terms up to the second order of the Gaussian kernel, and a self-interacting 3D oscillator keeps excitations of arbitrary order to indemnify the confinement of quarks.
LibGuides: Evaluating Information Sources: Has Source been Cited?

Use the information on this guide to help you understand and evaluate the different types of information sources.
Four-Step Entrepreneurial System Approach to Control Students Dropout from Secondary School in Indonesia and Supply Chain Performance

Student dropout is one of the crucial challenges at Indonesian secondary schools. Increase in dropout ratio has negative consequence towards supply chain performance (SCP). Various studies discussed the issue of student dropout and provided various solutions, however, it is still under discussion among the scholars and practitioners which requires a comprehensive framework. Hence, the objective of this study is twofold. This study primarily focused on two major areas, firstly; introduce various strategies to overcome the student dropout rate at secondary school, secondly; to consider the effect of student dropout ratio on SCP. For this purpose, a survey was carried out and data were collected from secondary school teachers in Indonesia. To carry out a survey, 500 questionnaires were distributed among the secondary school teachers. Results of the study highlighted that, four-step entrepreneurial system approach which is based on four major parts, namely; self-assessment, goal identification, planning and networking has significant role to decrease the student dropout ratio. Moreover, student dropout ratio has negative relationship with SCP. Additionally, entrepreneurial fun learning strengthens the relationship between four-step entrepreneurial system and student dropout ratio.
A Comparison of CasPer Against Other ML Techniques for Stress Recognition

When developing multi-layer neural networks (MLNNs), determining an appropriate size can be computationally intensive. Cascade Correlation algorithms such as CasPer attempt to address this, however, associated research often uses artificially constructed data. Additionally, few papers compare the effectiveness with standard MLNNs. This paper takes the ANUstressDB database and applies a genetic algorithm autoencoder to reduce the number of features. The efficiency and accuracy of CasPer on this dataset is then compared to CasCor, MLNN, KNN, and SVM. Results indicate the training time for CasPer was much lower than the MLNNs at a small cost to prediction accuracy. CasPer also had similar training efficiency to simple algorithms such as SVM, yet had a higher predictive ability. This indicates CasPer would be a good choice for difficult problems that require small training times. Furthermore, the cascading feature of the network makes it better at fitting to unknown problems, while remaining almost as accurate as standard MLNNs.
Dance to Music Expressively: A Brain-Inspired System Based on Audio-Semantic Model for Cognitive Development of Robots

Cognitive development is one of the most challenging and promising research fields in robotics, in which emotion and memory play an important role. In this paper, an audio-semantic (AS) model combining deep convolutional neural network and recurrent attractor network is proposed to associate music to its semantic mapping. Using the proposed model, we design the system inspired by the functional structure of the limbic system in our brain for the cognitive development of robots. The system allows the robot to make different dance decisions based on the corresponding semantic features obtained from music. The proposed model borrows some mechanisms from the human brain, using the distributed attractor network to activate multiple semantic tags of music, and the results meet the expectations. In the experiment, we show the effectiveness of the model and apply the system on the NAO robot.
Engenharia social: avaliação de riscos e vulnerabilidades tendo o fator humano como o elo mais fraco da segurança da informação

Assuming that information is currently one of the most valuable assets for an organization, this paper aims to demonstrate how Social Engineering can be used to exploit human behavioral characteristics in order to gain benefits or sensitive information. In every organization the weakest link in information security is the human being. Most companies are not prepared or do not give due attention to this topic. Thus, this work aims to: analyze the main techniques and strategies used by Social engineering to exploit the vulnerabilities and risks to which organizations are exposed; And, conduct a case study with the analysis of vulnerabilities and risks related to information security. To evaluate the proposal, an intrusion test was applied to a company in the glass industry, with the application of some techniques of Social engineering. It was possible to see that the company does not have an efficient management of information security, and thus is vulnerable and an easy target for criminals to obtain sensitive and essential information to the business.
T-SAMnet: A Segmentation Driven Network for Image Manipulation Detection

Although most of the current image manipulation detection algorithms gain great breakthrough, it still generally has problems in detecting multiple types of tampering techniques, and in receiving the classification, detection and segmentation results simultaneously. We propose a two streams network driven by segmentation mask, called T-SAMnet, where RGB images and noise images provide semantic features and noise inconsistency features for the network respectively. RGB stream generates tampered region detection bounding box and segmentation mask, and then is fused with the noise stream to generate classification results. The segmentation mask, on the one hand, supervises the characteristics of the network learning tampered region, feeds back as segmentation attention mechanism to constraint detection branch. The experimental results demonstrates that our method achieves state-of-the-art performance on the three standard image manipulation detection datasets.
The Open Access Landscape – an overview

Presentation at the 1st Basel Sustainable Publishing Forum conference, Basel, 09.09.19, arranged by MDPI. https://sustainablesolutionstoopenaccess.sciforum.net/.
Wood or blood?

Wood or Blood? New scores and new sounds for voice and clarinet Astrid Kvalbein and Gjertrud Pedersen, Norwegian Academy of Music What is this thing called a score, and how do we relate to it as performers, in order to realize a musical work? This is the fundamental question of this exposition. As a duo we have related to scores in a variety of ways over the years: from the traditional reading and interpreting of sheet music of works by distant (some dead) composers, to learning new works in dialogue with living composers and to taking part in the creative processes from the commissioning of a work to its premiere and beyond. This reflective practice has triggered many questions: could the score for instance be conceptualized as a contract, in which some elements are negotiable and others are not? Where two equal parts, the performer(s) and the composer might have qualitatively different assignments on how to realize the music? Finally: might reflecting on such questions influence our interpretative practices? To shed light on these issues, we take as examples three works from our recent repertoire: Ragnhild Berstad’s Vevtråd (Weaving thread, 2010), Jan Martin Smørdal’s The Lesser Nighthawk (2012) and Lene Grenager’s Tre eller blod (Wood or blood, 2005). We will share – attempt to unfold – some of the experiences gained from working with this music, in close collaboration and dialogue with the composers. Observing the processes from a certain temporal distance, we see how our attitudes as a duo has developed over a longer span of time, into a more confident 'we'.
The research on the scenarios of cloud platform and traditional platform for resource delivery

The cloud computing technology is based on cheap PC servers of X86 framework, utilizing plenty of virtualization technology, distributed computation technology, distributed storage technology to provide computation and storage services. Compared to traditional mode, it has both advantages and disadvantages. This page will make a comparison of them in the four aspects of resource distribution method, expansion modes, operating character, construction and maintenance cost to find the most suitable scenarios for application.
Technology Readiness of Local Contractors for Internet of Things Application at Construction Sites

Internet of Things (IoT) is a man-made technology conceptualised by intelligent virtualobjects, which capable of knowing all things and allows the devices around themselvesto interact automatically without human control. Every year, the number of IoT devicesusage is exponentially increasing and estimated as much as 75.44 billion devices will beconnected in IoT network. In line with the expansion of the IoT network, the constructionindustry should take into consideration as otherwise the construction industry will be leftbehind by other industries. This is because the construction industry should utilise theapplications offered by IoT to ensure the smoothness of the construction industry in theproject. Therefore, the first objective of this study is to identity the relevant IoTapplications for local construction sites. Second, is to determine the challenges of IoTapplications for local construction sites. Last but not least, the last objective of thisresearch is to determine the technology readiness of local contractors for relevant IoTapplications at construction sites. The research method used to achieve the objective isthrough the questionnaire method. The target population for this research is focus on thelocal contractors with different grades of firm size among Malaysia. The findings showthat Malaysia had mature enough to adopt IoT and local contractor also can accept IoT intheir construction sites. However, there are the strongest inhibitor to stop theimplementation of IoT is financial challenges. Therefore, some relevant parties shouldmake some plan, to help the contractors overcome their financial problem especially forthose who willing to adopt the IoT technology in their construction sites. For example,government can offer subsidence when construction companies are willing to adopt IoTtechnology. The incensement of adoption of IoT in Malaysia is more pluses than minuses, it will increase the Malaysia's innovation competitiveness and help to achieve Malaysia’s Vision 2020.
The Effect of Anticipation-Reaction Guide (ARG) Strategy on Students’ Reading Comprehension at the Eight Grade Students of Junior High School in the Academic Year of 2019/2020.

This study is an experimental which was conducted at MTs Muhammadiyah 04 Medan, in academic year 2019/2020. The objective of this study was aimed to find out whether the effect of Anticipation-Reaction Guide (ARG) strategy significantly affect students’ reading comprehension. The population of this research was the second grade which is distributed into two classes with total 60 students. Experimental class consisted of 30 students and control class consisted of 30 students. The instrument for collecting data was reading comprehension narrative text in the form of multiple choice test, that consist of 20 questions. Pre-test and post-test were conducted in both experimental and control class. To analyze the data was used t-test formula. After analyzed the data, the writer got; (1) the students’ achievement in reading comprehension by using ARG strategy got the mean 76.5 and standard deviation is 9.839. (2) the students’ achievement in reading comprehension who were taught by discussion method got the mean 70.333 and standard deviation is 8.703, the value of “t” test is 5.430 and “t” table 1.671. So that, the “t” test is higher than “t” table and the alternative hypothesis (Ha) proposed is accepted and null (H0) is rejected. The finding showed that the students who taught by Anticipation-Reaction Guide (ARG) strategy got higher score than those who taught by using discussion method. It means that there was significant effect of using ARG strategy on students reading comprehension in narrative text.
From Novice to Expert: The Lived Experience of Master Teachers in Science

This study explored the lived experiences of Master Teachers to help bridge the teaching gap with the novice Science teachers. This phenomenological inquiry utilized a set of open-ended questions constructed based on Domain 1 of the Philippine Professional Standards for Teachers (PPST) and employed semi-structured interviews among seven purposively chosen participants. Data were recorded, transcribed and analyzed through Colaizzi’s seven-step method. It revealed nine themes that are aligned to three of the seven domains of the PPST. It emphasized that to become master teachers, time, effort and hard work have to be invested by the novice Science teachers. Their lived experiences are considered intricate, unique and encompassing. Finally, it is recommended that the explored lived experiences through the PPST should be considered as a springboard data for DepEd administrators, co-teachers, stakeholders’ community, and students to improve the teaching-learning process.
Music in Virtual Reality: Musical Immersivity and Interactivity

Author(s): Peire-Serrate, Tomas | Advisor(s): Lefkowitz, David S; Krouse, Ian | Abstract: Volume IThis dissertation will explore virtual reality (VR) as a “spatialized”environment for artistic expression and creation, focusing particularly on the composer’s creative process when working with it. VR environments are already expanding and reformulating the concept of immersivity and interaction, as thoseiiterms have been understood to date. The motivations and goals of the creative impulse responsible for generating works of art will be considered not only from the perspective of composition but also as an underlying force common in artistic expression—a reflection of the need to communicate between individuals at a deep abstract level.VR provides a new space, analogous to the physical world, but with the potential to become more flexible and adaptable to the purposes of the composer or artist, and to theoretically present the opportunity to recreate what the artist mentally imagined more faithfully. Beyond a space, VR is also a communication and artistic medium still in the process of developing a unique aesthetic identity.Volume IIThe second volume of this dissertation consists of two works, Meeting andHillary, each conceived since their inception to have concert hall performance and VR version. Hillary has a version which is a combination of acoustic and electronics. Meeting has both acoustic and spatialized electronic concert hall versions. Whereas the concert hall format has been premiered in both cases, their VR versions are projected here though a description according to the format presented at the end of chapter 4 of volume I. These descriptions follow the score for each piece.
THE EFFECT OF MICROTEACHING AND GUIDED FIELD PRACTICE (PLT) ON READINESS TO BECOME PROFESSIONAL TEACHER OF THE ACCOUNTING EDUCATION STUDENT STATE UNIVERSITY OF YOGYAKARTA CLASS OF 2015

This research aims to determine whether there is an effect of the Microteaching Quality and Guided Field Practice (PLT) on Readiness to Become Professional Teacher. This research uses a quantitative approach with the respondents from the Accounting Education Student 2015 State University of Yogyakarta amounted to 63 students. Data collection techniques using a questionnaire. The data analysis technique uses multiple regression analysis. The results showed: 1) There was no significant effect of Microteaching Quality on Readiness to Become Professional Teacher with = -0.317 and significance value of 0.752. 2) There was a positive and significant effect of Guided Field Practice (PLT) on Readiness to Become Professional Teacher with = 3.963 and significance value of 0,000. The determination coefficient ( is 0.208 or 20.8%. These results identify that Readiness to Become Professional Teacher can be explained by the variable of Microteaching Quality and Guided Field Practice on 20.8%. Keywords: Microteaching, Guided Field Practice, Readiness to Become Professional Teacher
Basics of Rust

In this chapter we will explore Rust as a language and the unique constructs and programming models that Rust supports. We will also discuss the biggest selling points of Rust and what makes this language particularly appealing to machine learning applications.
LibGuides: Lovejoy Library MakerLab: Equipment and Tools

Links to equipment and tools descriptions and reservations page.Also, a link to MakerLab images and videos.
LibGuides: Applying for Your First Credit Card: Home

The purpose of this guide is to instruct someone through the process of applying for their first ever credit card by providing key definitions and resources.
PEER GROUP MENTORING AS A WAY TO SUPPORT THE WELL-BEING AND COMPETENCE DEVELOPMENT OF UNIVERSITY PERSONNEL

PEER GROUP MENTORING AS A WAY TO SUPPORT THE WELL-BEING AND COMPETENCE DEVELOPMENT OF UNIVERSITY PERSONNEL
IMPLEMENTASI APLIKASI PERMAINAN EDUKATIF PADA ANAK USIA DINI DI PAUD MUSAFIR KOTA MANADO

Information technology development nowadays has a significant impact on education. The Technology referred here like learning media using multimedia-based or software-based. One of the principles of preschool education is play-based learning. This research utilizes Technology to develop computer games based media learning for pre-schoolers and aims to improve the student's competencies, especially in using Application Technology as a media learning. These media have five features using Indonesian language, there are riddles games, simple counting games, drawing menu, words construct game and coloring menu. This media learning game was implemented to twenty-two preschool students with an age range between 3-5 years with their teacher accompaniment. The result showed that this application could be used as an alternative media learning for the student and the teacher of preschool to develop the children creativity and competencies.
The influences of color space in the process of resolution enhancement for digital images

Super resolution (SR) reconstruction and pixel interpolation are profitable technologies to acquire high resolution (HR) images from low resolution images. However, implementing the same interpolation or SR algorithms in different color spaces may still produce diverse results. Therefore, this study aimed to systematically investigate how the selection of color spaces take effect in the process of increasing image resolution. The resolution enhancement means involved an SR algorithm based on classified dictionary learning proposed by us and an SR algorithm based on deep learning with convolutional neural networks, as well as three typical pixel interpolation algorithms of bicubic, bilinear, and nearest. The evaluated color spaces involved RGB, YCbCr, YIQ, HSV, HSI, and CIELAB, which produced corresponding color coordinate systems. Based on the numerical measures of the peak signal to noise ratio (PSNR) and the color difference formula CIEDE2000 calculated between the original HR images and the processed versions, the results indicate that, YCbCr, YIQ, and CIELAB are suitable mapping spaces for resolution enhancement operations, and only the coordinate of bright and dark information is the dimension that need to be reconstructed by SR methods. Besides, color spaces with perceptual parameters of hue, brightness/lightness, and colorfulness/chroman/saturation are not suitable neither for SR reconstruction nor for pixel interpolation, which would cause severe color distortions. Thus, for preferable image effect, the recommended strategies are implementing SR algorithms for merely L * coordinate of CIELAB space or merely Y coordinate of YCbCr and YIQ systems, while the other two coordinates use the bicubic interpolation algorithm.
Pengaruh Motivasi, Persepsi Biaya Pendidikan, Dan Lama Pendidikan Terhadap Minat Mahasiswa Akuntansi Untuk Mengikuti Pendidikan Profesi Akuntansi (PPAk)(Studi pada mahasiswa angkatan 2016 program studi akuntansi Universitas Muhammadiyah Surakarta)

The purpose of this study was to determine the effect of motivation, perceptions of educational costs, and length of education on student interest in participating in the Accounting Professional Education (PPAk) program. The population in this study are students of accounting at Muhammadiyah University, Surakarta. The sample in this study was the 2016 batch of accounting students at the Muhammadiyah University of Surakarta. The analysis method in this study uses multiple linear regression analysis. The results of this study show that motivation has an impact on student interest in taking the Accounting Professional Education Program (PPAk) with a significance value of 0,000 0.05.