Reviewerly/exHarmony huggingface dataset:
Heave, Sway, Surge

Author(s): Davancens, Joseph | Advisor(s): Carson, Benjamin L | Abstract: Heave, Sway, Surge (2014–19) is a musical composition for nine instruments that attempts to evoke the subjectivity of a body in motion by deploying sound-mass textures that rely on transitional acoustic states. It uses motion and force as its musical material and a system of notation in which acoustic parameters are represented vertically against horizontal time, with line segments plotting their continuous values; and shows discrete positions and configurations as tablature. The production of the score relied on a suite of software tools that formalizes musical materials, compositional processes and score structures in an object-oriented fashion, and typesets a score in PDF format for digital distribution and printing. This essay provides historical context for my aspirations with this work, discusses the modeling of instrumental performance parameters, details he notation system designed for the score, describes the architecture and development process of the software, and illustrates the decisions involved in the composition of the work.
Research Guides: Virtual Reality at UAB Libraries: VR at Lister Hill Library

This guide is intended to serve as a source of general information about the virtual reality tools and related services provided by the UAB Libraries. Virtual reality tools and services are intended to support UAB Libraries mission and that of the Univers
Development of Teaching and Learning Materials by Modifying the Dice Game according to the National Gifted Education Program Standards

This study follows the procedure for developing teaching and learning materials presented in the national gifted education program standard (Lee, et al., 2017). The purpose of this article is to develop competency-oriented teaching and learning materials based on the game of die gaming. The data development model of this study followed the KEDI type enrichment learning 3-step model and the 5th grade students of the elementary school grade gifted class were following as: (1) learning goals(interest, ideas, mathematics) (3) mathematical content areas (numbers, operations, figures, data and possibilities); (4) competency areas (6 core competencies for mathematic gifted students), respectively. In order to improve the quality of output even for students in the gifted class, both teachers and students should clearly recognize the objectives of the learning guidelines and the outputs, and repeat them to confirm that the output reflecting the mathematical content(probability) you can lead. This study confirms that it can be a competency –oriented teaching/learning program that can positively influence the gifted students' core competencies.
Efficient hyperparameter tuning using Bayesian optimization

This thesis addresses many open challenges in hyperparameter tuning of machine learning algorithms. The thesis develops efficient Bayesian optimization frameworks for hyperparameter tuning by utilizing different techniques like transfer learning, parallel computing, and domain-specific prior knowledge induction.
Industry Academic Partnership Program – IAPP Indonesia Developing Indonesian Coastal Areas as Sustainable Tourism Destinations – A replicable Integrated Engineering Model for Exemplary Waste Managemen

Under the remit as a delivery partner of the Newton Fund, the Royal Academy of Engineering has partnered with the Ministry of Research, Technology and Higher Education of the Republic of Indonesia (RISTEKDIKTI) to enhance engineering teaching, research and innovation outcomes in Indonesian universities by building bilateral industry academia links. We have partnered with the Institut Teknologi Bandung (ITB) in Indonesia with industry partners Lembaga Penerapan Teknologi Tepat (LPTT), MANTRA, CLEAR Community and Atelier 10. Together, we have worked on two projects that address the impact of coastal pollution on tourism in Indonesia. In the context of an urgent need in Indonesia to address waste management infrastructure provision in coastal areas, LSBU and ITB are collaborating with the industry partners to deliver a world-standard integrated waste-management engineering model as an exemplar solution for Indonesia. In this IAPP programme, our team combines a wide-ranging Industry and Academic expertise to develop and enhance engineering methodology and technology. It brings innovative approach in addressing Indonesia’s waste management challenges. This project is a catalyst for further industry engagement, and a knowledge based and skills transfer in Engineering research and education. Batu Karas in Pangandaran, West Java has been selected as a UN Sustainable Tourism Observatory and study area for engineering research into waste management, both programmes run by ITB.
Hiebert Library: Adding LibGuides to your Class on Moodle.: Home

This is a step by step guide to assist you in adding an already created library guide to your Moodle Pages.
Top 10 des musiques du moment ! – Collège Jacques Daguerre - Cormeilles-en-Parisis (95) - Collège numérique

N°10 : Champagne Showers --- LMFAO N°9 : Suave (Kiss Me) --- Nayer, Mohombi & Pitbull N°8 : Sexy And I Know It --- LMFAO N°7 : Whenever --- The Black Eyed Peas N°6 : Stereo Hearts --- Gym Class Hereos…
Communication Theory Extensions

Communication and media effects scholars have unique perspectives to predict why and for whom cyberbullying is likely. Unlike the social psychological and sociological theories, communication theories should have the explanatory power to offer a theory that is unique to the cyberbullying domain; however, few empirical studies exist. This chapter discusses two theories that have received a paucity of research support: the online disinhibition effect and uses and gratifications theory. Akin to the previous two chapters, this chapter delves into the theoretical postulates of each model before discussing the empirical work that has used either theory to predict cyberbullying perpetration. Finally, the strengths and limitations of the two approaches are discussed.
Cybersecurity pathway wins preliminary approval

The State Board of Education (SBOE) took preliminary steps to establish a cybersecurity pathway as an option under the Science, Technology, Engineering, and Mathematics (STEM) endorsement, part of the state’s current graduation program. The pathway will include existing technology applications and career and technica
INTELLECTUAL PROPERTY AND MEDIA CULTURE IN HIGHER EDUCATION

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 5814-5819ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.1427Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
Parent-Child Reading: More than to Improve Children’s Reading

Parents are the first teachers of their children in many aspects, including the language learning.Numerous studies have shown that parent-child reading can promote the language ability of children who are about to enter the reading stage.Moreover, good parent-child reading process can promote the child's social development.This paper mainly discusses how to improve the quality of parent-child reading based on the author's self-analysis and related researches.
BGP Security Tracking

This document describes the BGP Path Security Tracking attribute, anextension to BGP-4. This attribute provides a transitive means fornetworks to indicate BGP security checks in place to upstreamnetworks. Upstream networks can optionally use that information tomodify the path selection algorithm giving preference to pathsreporting better security where the prefix length is the same and as-path length is similar. Effectively reporting no security would betreated the same as prepending the announcement once and reportingstrong security would be treated the same as not prepending. The netresult of using the information to influence path selection is thatmore secured paths would be preferred over less secured paths.
Pengaruh Penggunaan Model Pembelajaran Sinektik Terhadap Kemampuan Menulis Puisi Siswa Kelas V Di SD Negeri 49 Kota Bengkulu

This study aims to determine the effect of the use of synoptic learning model on the ability to write poetry of class V students in SD Negeri 49 Kota Bengkulu. The type of this research is quantitative research and the research design is The Matching Only Pretest-Posttest Control Group Design, taking the test twice before and after giving treatment (treatment) in the sample class. Population in this research is class V student amounted to 43 student. The sample in this research consists of two classes, namely VB as experimental class and VA as control class with sampling total sampling technique. The research instrument uses a description test (essay). The data of the research were analyzed using inferential analysis that is t-test. Based on the results of data analysis obtained tcount value of 2.39 and ttable value of 2.019 with a significant level of 5%. This shows that the tcount = 2.39 ? ttable = 2.019 and it is concluded that there is an effect of using a synoptic learning model on the ability to write poetry of class V students in SD Negeri 49 Kota Bengkulu .
Algebraic computing and tensors in general relativity

Albert Einstein's field equations for general relativity have proven to be revolutionary in modern physics. There remains the possibility that many predictions may still lie within these equations. The thesis examines the use of software in assisting the exploration of the potential wealth of information in the equations.
Photofeeler-D3: A Neural Network with Voter Modeling for Dating Photo Rating

In just a few years, online dating has become the dominant way that young people meet to date, making the deceptively error-prone task of picking good dating profile photos vital to a generation's ability to form romantic connections. Until now, artificial intelligence approaches to Dating Photo Impression Prediction (DPIP) have been very inaccurate, unadaptable to real-world application, and have only taken into account a subject's physical attractiveness. To that effect, we propose Photofeeler-D3 - the first convolutional neural network as accurate as 10 human votes for how smart, trustworthy, and the subject appears in highly variable dating photos. Our attractive output is also applicable to Facial Beauty Prediction (FBP), making Photofeeler-D3 state-of-the-art for both DPIP and FBP. We achieve this by leveraging Photofeeler's Dating Dataset (PDD) with over 1 million images and tens of millions of votes, our novel technique of voter modeling, and cutting-edge computer vision techniques.
Container-Based Virtualization for Real-Time Data Streaming Processing on the Edge Computing Architecture

Container-based virtualization is one of the prominent technologies in the cloud computing. Containers virtualize at the operating system level which provides a lightweight operation than traditional virtualization on a hypervisor. The combination of the Internet of Things (IoT), edge computing and container-based virtualization is going to make system rapid, inexpensive, and more reliable. In this paper, we intend to implement a complete set of edge computing architectures based on containerization on an IoT environment. In this case, we implemented container-based virtualization which constructs Kubernetes Minion (Nodes) in the Docker container service independently for each service on the Edge side. We used humidity and temperature sensory data as our case study. We set up the Raspberry Pi on the Edge Gateway and Kubernetes minion on the Raspberry Pi to provide the service application, which contains Grafana, the open platform for analytics and monitoring. For short-term data storage, we use InfluxDB as a data store for large amounts of time-series data.
Bitcoin: A Meticulous Analysis

Bitcoin is the worldwide crypto currency and it is the digital payment system known as the decentralized digital currency. All the transactions are recorded in a public ledger known as block chain. It has no central authority or no single administrator. This paper studies about the technical view of the bitcoin system, the problems faced in the peer-to-peer network, schemes used for improving the quality of transactions, and also the security issues faced by the user while proceeding with these transactions. It includes the major advantages of bitcoin transactions and its worldwide usage. The other side of bitcoin includes the usage of it in ransom ware attack and in other illegal activities. Finally this paper also comprises why bitcoin is not widely accepted in India.
Submission to the Online Safety Charter Consultation Paper

We are a group of Australian academic researchers working in digital rights issues and the social implications and regulation of technology. This submission outlines what we believe should be key priorities for any attempt to shape the direction of future reform of online safety policy and legislative arrangements in Australia, and specifically, responds to discussion questions 14 and 33. In summary, we: • Stress the importance of clear, certain rules for content hosts and other internet intermediaries. Any content regulation or intermediary liability scheme must be proportionate and include strong safeguards for due process. We are extremely concerned about recent developments that seek to hold technology firms criminally liable for user-generated content, as this could have a number of unintended and potentially detrimental impacts; • Highlight the importance of recognising that a major potential pitfall and risk of content removal is the takedown of critical expression and valuable counter-speech. This risk can be mitigated through multi stakeholder engagement and collaboration; training moderators (or regulators) to identify and understand content that counteracts hate speech; and ensuring due process mechanisms are in place (Question 14); and • Emphasise the importance of transparency and accountability measures. In particular, we believe that in any system of co-regulation, it is critical that the technology firms that regulate online content provide access to granular, disaggregated data that can facilitate research on public interest questions (Question 33).
A SURVEY : CLOUD COMPUTING TECHNOLOGY

Abstract Cloud can be defined as place at remote location and by remote location it means a place that is far away from us having all the data we need ,i.e. photos, documents, databases, contacts or anything that we use in our daily lives. Computing means to access , modify or manipulate any kind of information or data by using COMPUTING TECHNOLOGY ,i.e. computing may involve computer’s hardware/software but it must involve some kind of computer system. Therefore by summing up , cloud computing is technology which gives us the way to access and manipulate  our data/information which is stored somewhere at a remote location by using internet. Keywords —Cloud Computing, Public Cloud, Private Cloud ,Service Model,Security.
ELABORATION OF A DIGITAL BOOK OF THE THEME OF GRAPHICS OF THE SUBJECT OF STATISTICS AT THE FESC

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 6390-6394ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.1551Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
A naturalistic, big-data approach to understanding the brain

Presented on April 8, 2019 at 11:15 a.m. in the Krone Engineered Biosystems Building, room 1005.
EFFECT OF SOCIAL NETWORKING ON EMPLOYEE PERFORMANCE: A CASE STUDY OF COAST WATER SERVICE BOARD

The main objective of the study was to establish the effect of social networking on employee performance . The study targeted Coast Water Services Board as the case study. The study specifically established the effect of Facebook, twitter, LinkedIn and WhatsApp on employee performance. The target population of the study comprised of 200 employees working in CWSB, Mombasa County. For this study, data was collected using structured questionnaires based on the research hypotheses. Data analysis was done with the help of Statistical Package for Social Science (SPSS) version 23. Descriptive statistics included frequencies distribution, and percentages and mean, while inferential statistical analysis used included correlations, and regression. The study findings established that there was a positive effect reported for Facebook on employee performance. Also there was a significant effect of twitter on employee performance. However, minimal effect was reported for WhatsApp on employee performance. The study therefore based on the findings obtained concluded that Face book was the most used social network in the organization, and that users’ most frequent activities on Facebook was writing messages. Further the study concluded that LinkedIn was the appropriate social networking site for professional development and that LinkedIn used by employees lowered the employee productivity. Further the study recommended that the organization should provide specific time for twitter usage to employees to avoid reduction in employee productivity. Also the organization should encourage employee to use twitter on adding value to the firm. To maximize the potential of social networking within the organization, it was recommended that organizations come up with specific networks for organization wide social networking. Key Terms: Employee performance, LinkedIn, Social network, Social networking, Twitter, You tube CITATION: Toroitich, B. T., &amp; Datche, E. (2019). Effect of social networking on employee performance: A case study of coast water service board. The Strategic Journal of Business &amp; Change Management, 6 (2), 480 – 501.
DESIGNING CURRICULUM FOR TEACHING T-SHAPED DESIGNERS

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 2194-2197ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.0607Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
Two-Prover Bit-Commitments : Classical, Quantum and Non-Signaling

This thesis considers multi-prover commitment schemes whose security is based on restrictions on the communication between the provers. The results are applicable to so-called relativistic commitment schemes: schemes whose security is guaranteed by the fact that information does not travel faster than the speed of light. A commitment scheme is a cryptographic protocol solving the following problem: One party, the prover, has selected a value which he wants to keep secret at first. The prover wants to have the option to reveal it to the other party, the verifier, at a later time, but the verifier wants a guarantee that no value other than the originally selected one can be revealed. Standard commitment schemes can only be proven secure with computational hardness assumptions. This can be circumvented by splitting the prover into multiple entities and restricting their communication, e.g., no communication at all, or communication only with a delay (as in relativistic commitment schemes). This dissertation introduces new methods for analyzing and designing such multi-prover schemes. As an application, we show that the Lunghi et al. commitment scheme from 2015 has much stronger security that their original analysis indicated.
Access to Electricity and Drinking Water in the Presence of Ethnic Diversity: Evidence from Nigeria

ABSTRACTThe study analysed the effects of ethnic diversity on access to drinking water and electricity in Nigeria. Our analysis indicates that ethnic diversity at the sub-national level has reduced households’ access to safe drinking water, but increased provision of electricity. The implication of the finding is that provision of targeted public goods are more prone to negative effects of ethnic diversity than non targeted public goods. Ethnic diversity will increase provision of public goods due to increased lobbying by the various ethnic groups. The study recommends that the national government should provide targeted public goods in heterogeneous countries.
An Overview of Deep Learning in Prognostics and Health Management

Deep learning has attracted intense interest recently in Prognostics and Health Management (PHM), due to its enormous representing power and capability in automated feature learning. This paper attempts to survey recent advancements of PHM methodologies associated with deep learning. After a brief introduction to several deep learning models, we reviewed and analyzed applications of fault detection, diagnosis and prognosis using deep learning, respectively. The survey reveals that most existing work utilized deep learning to conduct feature learning from unstructured raw data including vibration data, current signals, images and videos. Deep learning provides a general framework for PHM applications: fault detection uses either reconstruction error or stacks a binary classier on top of the network to detect anomalies; fault diagnosis typically adds a soft-max layer to perform multi-class classification; and prognosis adds a continuous regression layer to predict remaining useful life. We further pointed out some challenges and potential opportunities in the field.
LibGuides: Swank Video Streaming Help: Home

Instructions and troubleshooting for accessing streaming video through the Moorpark College Library.
ASSESSING IMPACT OF DIGITAL TRANSFORMATION ON READINESS OF USING DIGITAL SERVICES

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 7786-7792ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.1918Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
Pemanfaatan Akses dan Sumber Belajar Digital dalam Mendukung Peningkatan Profesionalisme Guru Akuntansi di SMA Negeri 3 Sukoharjo

The study aims (1) to know the utilization access and digital learning sources that used by accounting teacher in Senior High School 3 Sukoharjo, (2) to know the accounting teachers’ professionalism to access and digital learning sources in Senior High School 3 Sukoharjo. This type of research is qualitative, and this methodology of research is descriptive qualitative by using ethnography design. The data of this research were collected by using observation, collecting the data, data reducing, data presenting/display, and drawing conclusion. The validity of data is triangulation by comparing the data from any other sources and technique of triangulation are comparing data from interview, observation, and documentation. The findings of this research show that (1) there was not contribution of the knowledge from the internet to increasing and raising the teacher understanding to deliver learning material by utilization of internet access for accounting teacher in Senior High School 3 Sukoharjo was lower, it make the activeness of the accounting teachers’ in Senior High School 3 Sekoharjois less to used digital learning sources and another digital facilities. (2) the accounting teachers in Senior High School 3 Sukoharjo are still in the learning process to mastering the internet access and also the digital learning sources, it is make the teacher ability to utilise the digital learning sources in Senior High School 3 Sukoharjoto support their professionalism is lower. The conclusion of this research is the readiness and the teacher ability to utilizing the access and digital sources learning to support the raising their professionalism is very lower. Keywords: access, digital learning sources, ability, professionalism
AUTOMATED SYSTEM FOR MONITORING COMPLIANCE OF EDUCATIONAL PROGRAMS WITH NEW GENERATION STANDARDS

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 9703-9710ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.2413Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain