Reviewerly/exHarmony huggingface dataset:
Use of Airborne Hyperspectral Datasets to Remotely Map a Siliciclastic Succession (Bresnahan Group, Australia)

Summary Remote mapping of siliciclastic successions can be difficult due to the lack of available techniques to determine the mineralogical constituents of sandstones (e.g. K-Feldspar and quartz) and textural information like grain-size. Mineral maps of white mica relative abundance, processed from airborne hyperspectral data, are used here to observe the compositional variability in sandstone clasts with grain-size changes in the siliciclastic Bresnahan Group, located in Australia. Modal petrographic analysis indicated an increase in the proportion of white mica and claystone clasts in the finer sandstones, compared to the coarser sandstones. The change in composition has a reverse exponential trend. Further reaching implications for use elsewhere are considered.
Kritik Sosial dalam Naskah Drama Bangjo Karya Harjito dan Implementasinya Sebagai Bahan Ajar di SMA

This study aims to (1) describe the structure that built the Bangjo drama script by Harjito, (2) express social criticism contained in Harjito's Bangjo drama script,and (3) describe the implementation of the results of Harjito's Bangjo drama scriptas Indonesian literaryteaching material in senior high school. This study useddescriptive qualitative method. Data sources obtained from Bangjo Harjito'splaywriting amounted to 16 sheets. The technique of collecting data uses librarytechniques, listening techniques and notes, and snippet techniques. The dataanalysis technique in this study was carried out using the dialectical method. Theresults of this study were (1) the plot used by Harjito in the Bangjo drama script,namely the forward flow. The figure presented in the Bangjo drama script has fourcharacters with the main character, Yu Manis. Furthermore, there are fivesupporting figures, namely Mas Darmo, Prayitno, and Mbak Tari. Implicitly, thetime setting described is at night. The incident depicted in the Bangjo script tookplace in Angkringan Yu Manis with the depiction of being in a crowd point of themiddle to lower society. This text adopts the story of the habits of the workers intheir lives. (2) the form of social criticism contained in Harjito's Bangjo play isdivided into four, namely criticism of social processes, criticism of social change,criticism of social problems and criticism of social structures and (3) Harjito'sBangjo drama script can be used as teaching material in the first semester of XIclass high school with KD 1.2 and 1.3.
On The Possibility Of Normative Contestation Of Automated Data-Driven Decisions

This provocation intends to identify the possible requirements of a transparency model which aims to decompose and analyse automated decision-making systems not by the mechanisms of their operation but rather by the normativity embedded in their behaviour/action. For the effective contestation of automated decisions, essential components of a Rule-based Model (RbM) are briefly described as: i) the data as ‘decisional input’, ii) the ‘normativities’ contained by the system both at the inference and decision (rule-making) level, iii) the context and further implications of the decision, iv) the accountable actors
세종학당 표준 교육과정 운영 재정비 연구

The objective of this study is to propose a means of revising the standard curricula of King Sejong Institute, a leading establishment that promotes Korean language and culture. Its current programs vary by region, depending on the educational environment of respective countries. There is also a need to develop the standard educational programs that incorporates newly developed textbooks, “Sejong Korean language conversation” and “Sejong Korean culture”, into the presently used “Sejong Korean”. To this end, we conducted an online survey for 283 people, including the institute’s faculty, administrators, and program managers, to examine how the institute’s standard program is being managed and how the newly developed textbooks are being used. On the basis of early studies and the survey result, we developed a proposal on revising the standard curricula of King Sejong Institute and managing the revised curricula. For flexible curricula management, we propose three levels of program hours: 45 52 hours for Ga(A) type, 53 75 hours for Na(B) type, and 76 104 hours for Da(C) type. Furthermore, we propose an operational model for the institute’s curricula that covers all the three above mentioned textbooks. (Kyunghee University, Korea University, University of Malaya, Korea University)
Device Enhanced Authentication: Passwords and Second Factors

Presented on January 11, 2019 at 12:00 p.m. in the Klaus Advanced Computing Building, Room 1116W.
Bake Believe (a Holonovel)

This paper presents a sugarcoated dystopian holonovel situated in a distant future, where the holodeck has become the main learning and entertainment technology through which people upload personal knowledge and experiences to be used as an immaterial currency. A young woman, Madeleine, is a fierce and competitive baker. She aspires to win the 104th biennial of “The World Championship of Cake Design.” The virtual avatars in her baking program guide her in her quest, but in order to win, she needs to make a truly original cake. To get proper help, she needs to get the best advice from a superior hologram-baker. It is more expensive than what she can afford paying with knowledge, so she ends up paying with a personal experience—and afterward she has to deal with the consequences of sharing that experience with the rest of the world.
Unsupervised generation of Arabic words

Automated word generation might be seen as the reverse process of morphology learning. The aim is to automatically coin valid words in the targeted language. As many other challenges in the field of natural language processing (NLP), the building of the generation engine might be carried out using a supervised or unsupervised approach. The former requires a clean learning data set of a decent size whereas the later needs no more than a plain text. Nonetheless, the unsupervised approaches are usually blamed for their low accuracy. The present article reports the results of an investigation on a context free generation of classical Arabic words. Unsupervised and relatively simple, The proposed approach reached easily an accuracy of 90%.
Structural modelling of the Malaysian consumers desire to embrace QR code

In today's world, mobile devices has become one of the influential innovation that influences the humans' life on various aspects on daily basis. The emergence of the innovative technology has given the marketers and advertisers a platform to create new intercreative and creative forms and design compared to what was created traditionally. The aim of this study is to scrutinise about the Malaysian consumers' desire to adopt quick response (QR) codes as a marketing communication tools. In order to address the aim of the study, an extended technology acceptance model has been used. In this study, the consumers' intention were examined from the perspective of perceived usefulness, perceived ease of use, social influence and self efficacy. This study is expected to bring the gap in the existing literature closer and contribute valuable information to the practitioners in the market about the aspects that should be focused on when developing marketing communications using QR codes.
LibGuides: Grade 4: Investigating Matter and Energy

The Draft K-4 Curriculum (2018) is built around essential understandings that are consistent across the grades. The Guiding Questions that lead to outcomes are unique for each grade. Use New.LearnAlberta.ca for complete outcomes.
THE POSSIBILITIES OF E-LEARNING TECHNOLOGY IN THE STUDY OF MATHEMATICAL ANALYSIS

The course of mathematical analysis is important in the subject preparation of computer science students. The article deals with the issues of improving the level of mathematical competence of students in the study of mathematical analysis using e – learning technology based on the learning environment of the European system of distance learning (Learning Management System-LMS) Moodle. The principles of selection of theoretical and practical content of the electronic course in mathematical analysis are described. The efficiency of the use of the developed training course as an auxiliary didactic tools. The experimental work was attended by students of the 1st course of the direction "Applied Informatics". The article presents some results of the use in the educational process of the electronic course in the process of mastering the discipline "Mathematical analysis".
Big praise for council's CCTV and concierge system

Sandwell Council’s CCTV and concierge service has been praised for its huge contribution to improving community safety by helping police and other agencies to fight crime and anti-social behaviour – and helping to solve several high-profile cases.
Say Library: When Alexa Meets Primo

Amazon Alexa is one of the best-known consumer products employing voice-activated AI bot or personal assistant. It acts as an intelligent agent that interacts with users’ voice and responds with answers and support. Alexa for Business, a business version of Alexa, was released in November 2017. It enables businesses to develop customized applications and knowledge base within the organizational context and allows users to query directions, manage devices, organize events in their calendar, and report building or equipment problems. At the University of Southern California, we have been exploring possible applications with Alexa for Business with the generous funding from the Dean of the Libraries. We have developed Alexa skills or applications to interact with Alma and Primo VE using Alma/Primo API:USC Libraries Search: patrons can query Primo VE for library holdings by author, title, and keyword through Primo APIUSC Libraries Search: patrons can inquire the library hours stored in Alma API and library eventsUSC Libraries FAQ: patrons can get answers of most commonly asked library questions, such as library policies and locationsOther promising use cases we aim to explore include allowing Alexa to control devices, such as computers, projectors, and monitors in library’s meeting and study rooms.In this presentation, we will describe our experiences on developing Alexa skills, demonstrate its use, share the lessons we learned, and discuss the security and privacy issues associated with such technology.
MODEL PENGAMBILAN BUKU DIGITAL MENGGUNAKAN QR CODE (STUDI KASUS PERPUSTAKAAN UNIVERSITAS PEMBANGUNAN NASIONAL “VETERAN” JAKARTA)

People's awareness of the importance of excellent service that is convenient for users demanding the availability of an efficient and reliable system. The National Development University Library Veteran Jakarta is well aware of the importance of a system that can improve student performance . This library system is in accordance with the existing process with several new features identified, so as to improve efficiency in searching thesis data. Use and use of QR Code already found around us with the aim of marketing and providing information . Besides use The QR Code on these matters, there are many moreuseswhich is still unexplored. QR Code can be used on library, by scanning a QR Code on n serv web and display any content of the chapter on thesis, so that the search can book based on the reviews from visitors,dal am problems Zbar algorithm used to download the QR Code detection to be able to read version italnya dig. All of that is done through web-based services in the library Wi-Fi coverage area .The results of this study are in the form of an android-based application that will provide more information to students who are constrained by the limited availability of thesis in the library
Human Activity Understanding and Prediction with Stochastic Grammar

Author(s): Jia, Baoxiong | Advisor(s): Zhu, Song-chun | Abstract: Video understanding is a booming research problem in computer vision. With its innate feature where spatial and temporal information entangles with each other, video understanding has been challenging mainly because of the difficulty for having a unified framework where these two aspects can be modeled jointly. Among the tasks in video understanding, human activity understanding and prediction serve as a good starting point where the spatial-temporal reasoning capability of learning modules can be tested. Most of the current approaches towards solving the human activity understanding and prediction problems use deep neural networks for spatial-temporal reasoning. However, this type of approach lacks the ability to reason beyond the local frames and conduct long-term temporal reasoning. On the other hand, stochastic grammar models are used to model observed sequences on a symbolic level with all history information considered, but they perform poorly on handling noisy input sequences. Given these insights and problems of current approaches, we propose the generalized Earley parser for bridging the gap between sequence inputs and symbolic grammars. By combining the advantages of these two types of methods, we show that the proposed model achieves a better performance on both human activity recognition and future prediction.
Null-Screen design for freeform surface testing

In this work, we present the null-screen design for testing the shape of freeform surfaces. To validate the proposed method, we calculated the null-screen for the Zernike surface (n=3, m=−3), with a peak to valley (PV) of 31.765 mm and 5.559 mm rms.
MAGIC MOB – AN AUTONOMOUS TABLE CLEANING ROBOT

The autonomous table cleaning robot cleans a table after every dine-in.It is designed in a more efficient, secured and cost effective way using Internet of Things (IOT) technology and controlled using a mobile application developed using android studio with Google firebase with a secured, authenticated and cloud stored API's.This autonomous table cleaning robot doesn't disturb the people who are having food.This robot not only automates cleaning but also reduces man power and monthly wages to pay for employees.It also provides latest technology support with secured application interface to the user.
Effects of the Modified RVI Strategy on the Academic Vocabulary of the Elementary School Students with Mild Intellectual Disabilities

The purpose of this study is to examine the effects of the modified Robust Vocabulary Instruction (RVI) strategy intervention in teaching academic vocabulary for elementary school students with mild intellectual disabilities (ID). The participants are two fifth graders and one sixth grader with mild ID attending D elementary school in P city. The multiple baseline probe design across participants is applied in this study. The results are as follows. First, the modified RVI strategy intervention is effective for learning academic vocabulary among elementary school students with mild ID. Second, the modified RVI strategy intervention is effective for maintaining the learning effects of academic vocabulary among elementary school students with mild ID. Based on the results, this study suggests that the modified RVI strategy may be useful in teaching academic vocabulary and is effective in improving academic achievement of elementary school students with mild ID in inclusive settings.
Finding Health Care Usability and Safety Issues in Consumer Product Reviews

Multiple techniques exist for eliciting usability and safety information related to product design. These methods work well for some types of use scenarios but have limitations. This work proposes a supplemental method of obtaining information relevant to usability and safety by systematically evaluating consumer reviews of medical devices using Natural Language Processing (NLP) techniques. Results include valuable information about categories of use, user priorities, and sources of user confusion. This project described a new method for gathering information from end users of medical devices. The information extracted may be useful to clinicians, manufacturers, and patient educators.
Research and Application Based on Improved Call Fingerprint Identification Algorithm

In order to effectively determine whether a user is a re-entry user, this paper is based on an improved call fingerprinting algorithm. Research and analysis were carried out by mining relevant characteristics of new and old users' contact circles (including call characteristics and SMS features). On the basis of the weighting algorithm TF-IDF in the call fingerprint algorithm, the speech and audio times were combined with the short message frequency. At the same time, on the basis of the speech and audio times, the parameter of the length of the call was increased to further reflect the weight of the user's communication circle number. The improved call fingerprint recognition algorithm can improve the accuracy of identifying re-entry users, and can also provide a new theoretical basis for the discrimination of multi-card users. The Experiments showed that the model could effectively determine whether a user was re-entering the network and had a high detection accuracy.
PB1682 ADULT ACUTE LEUKEMIA AND SEASONALITY: A SINGLE CENTER EXPERIENCE

Background: Etiology of acute leukemias have been investigated for a long time. Although the exact causes are not known, both genetic and environmental factors are thought to play an important role. Some infectious agents underlie etiology of many haematological malignancies. Evidence suggests antigenic stimulation consequent to community – acquired infections may stimulate oncogens or may disrupt tumor supressor genes. Therefore seasonal changes in incidence of acute leukemia have been studied over the last 2 decades with mixed results. Aims: The aim of this study was to investigate seasonal changes in the incidence of acute leukemia in adults. Methods: Data from Dr. Abdurrahman Yurtaslan Ankara Oncology Training and Research Hospital, Stem Cell Transplantation Unit database were retrospectively analyzed. Results: A total of 252 patients with acute leukemia had received allogeneic bone marrow transplantation at our center between March 2009 and December 2018. Their data were retrospectively analyzed. 152 patients had acute myeloid leukemia (AML, n = 152) and 100 patients had acute lymphoblastic leukemia (ALL, n = 100). No relation was found between season of first diagnose date and incidence of AML and ALL(p = 0.900, p = 0.206,respectively) Summary/Conclusion: Environmental factors including infections have long been suspected as a probable factor in the etiology of leukemias. If there is a seasonal variation in the onset of leukemia, this may be interpreted as supportive evidence of infectious etiology but in our study, we found no seasonal effect related to date of diagnosis.
Motion estimation algorithm for images of vital signs monitors using Block Matching

The present article describes the design of an algorithm that allows the motion estimation in images using the Block Matching strategy. The search criteria used to design the algorithm is called the sum of absolute differences (SAD). For research development, a VGA reference image of 640×480 pixels, divided into 8×8 macroblocks, is taken. The algorithm has been validated through different simulation scenarios. Among the main results are obtained processing times per frame of 18 ms (without parallelization) and 8.7 ms (with a first level of parallelization); what is useful for video compression systems for transmission. These times were obtained with images of telemedicine tests, particularly in the transmission of video on vital signs monitors.
PENGARUH EFEKTIVITAS PENGENDALIAN INTERNAL, KESESUAIN KOMPENSASI, MORALITAS MANAJEMEN, KETAATAN ATURAN AKUNTANSI, DAN ASIMETRI INFORMASI TERHADAP KECENDERUNGAN KECURANGAN AKUNTANSI

This study aims to determine the effect of internal control effectiveness, suitability of compensation, the morality of management, the observance of accounting rules, and information asymmetry to the tendency of accounting fraud (a survey of the company's distributor in the city of Bengkulu). The data used in this research is primary data, which is obtained by spreading the questionnaire. The number of samples used in this study is 50 samples. Data analysis techniques using the help of IBM SPSS 16.0. The results showed that the effectiveness of the internal control and the morality of management negatively affect the tendency of accounting fraud. While information asymmetry has a positive effect on the tendency of accounting fraud. To the suitability of the compensation and the observance of accounting rules does not negatively affect the tendency of accounting fraud.Key words: Influence, Compensation, Management, Rules, Asymmetry, Accounting
Dynamic Networks to Hybrid Cloud DCs Problem Statement

This document describes the problems that enterprises face today wheninterconnecting their branch offices with dynamic workloads in thirdparty data centers (a.k.a. Cloud DCs). There can be many problemsassociated with network connecting to or among Clouds, many of whichprobably are out of the IETF scope. The objective of this document isto identify some of the problems that need additional work in IETFRouting area. Other problems are out of the scope of this document.It examines some of the approaches interconnecting cloud DCs withenterprises' on-premises DCs & branch offices. This document alsodescribes some of the network problems that many enterprises face whenthey have workloads & applications & data split among different datacenters, especially for those enterprises with multiple sites that arealready interconnected by VPNs (e.g., MPLS L2VPN/L3VPN). Currentoperational problems are examined to determine whether there is a needto improve existing protocols or whether a new protocol is necessaryto solve them.
Code 8.7: Conference Report

The Code 8.7 Conference Report provides a summary of the Code 8.7 event that took place in February 2019. The conference, organized by Delta 8.7, The Alan Turing Institute, the Computing Community Consortium, Tech Against Trafficking, the Rights Lab and the Global Security Initiative at Arizona State University, brought together the artificial intelligence, machine learning, computational science and anti-slavery communities. Over two days, more than 30 speakers and 120 participants discussed how these technologies could be used to help in the fight to eradicate forced labour, modern slavery, human trafficking and child labour in line with Target 8.7 of the Sustainable Development Goals. The report highlights some of the key conversations that took place over the two days of the conference, including how best to combine Big Data and Small Data, the possibilities of information and communications technology (ICT) for survivor self-identification and the roles of satellite remote sensing, crowd-computing and open digital maps to better visualize slavery locations, and the next steps for continued collaboration between the anti-slavery and tech communities.