Reviewerly/exHarmony huggingface dataset:
The PACTOLS Thesaurus, a controlled and shared vocabulary system for archeology

Created by the Frantiq network (Federation and Resources on Antiquity), initially for the documentary indexing of scientific literature, PACTOLS is a unique reservoir of thematic metadata dedicated to archaeology. The thesaurus manager on which it relies, Opentheso, also provides it with technical capabilities for openness and interoperability that complement its standardization. In addition, the assignment of a permanent identifier to each concept makes each one a web object, identifiable anditable. PACTOLS is therefore a pivotal vocabulary that meets the standards of the semantic web and open science. It respects the FAIR principles: it can be consulted and freely accessible online, it is interoperable and reusable. Its lexical and normative characteristics represent a tool with a rare potential, which is now available to all actors in archaeology. The PACTOLS development project, conducted as part of the MASA Consortium of the Huma-Num Very Large Research Infrastructure, is intended to provide the archaeological community with a reference vocabulary that facilitates the sharing of scientific data and productions in archaeology on the web. It is oriented in two directions: on the one hand, it consolidates the semantic structure that leads to the reorganization of domains, facilitating navigation in the thesaurus. On the other hand, terminology content is enriched, in particular by the addition of speciality vocabularies and by alignment with scientific vocabularies and programs in the field, which are available on the web. The reorganisation of the thesaurus is carried out in close collaboration with the experts concerned. To this end, the modalities of dynamic contribution to the thesaurus are extended to all actors in the discipline, on the basis of specific authorization levels. A larger community is organized, trained and supported in the shared handling of the thesaurus. Because PACTOLS, as a reference vocabulary, is recommended as soon as excavation data are processed, for example at Inrap. It is also associated with programs to promote research data and integrated by several archaeological journals into their production, via the editorial production chain Metopes in XML-TEI.PACTOLS, a common reservoir for metadata in archaeology and archaeoscience, is a brick to data interoperability. It can be easily integrated into simple database systems or organized more powerfully with ontologies for a web of linked data.
MOBILE PHONE USAGE AND DISTRACTION IN LEARNING SESSIONS

Objective:To identify the prevalence of mobile phone use in class rooms and the distraction they cause. Study Design: Mixed method transformational study conducted in pragmatic paradigm.Place and Duration of Study: Army Medical College, Rawalpindi, from 1st Mar 2017 to 31st Mar 2017. Material and Methods:Focus group discussions were conducted employing three expressive students from each of the three classes. These discussions were used to develop themes which were then utilized to formulate a questionnaire. The validity of the questionnaire was confirmed by two expert medical educationists. The survey was conducted by distributing the self-answering questionnaire among the students. Simple descriptive statistics were then used to analyze the cross sectional data thus collected using SPSS version 20.Results:A total of 300 forms were distributed of which 235 (78.33%) were retrieved. Ninety one (38.72%) were from 3rd year, 82 (34.89%) from 4th year and 62 (26.38%) from final year. A total of 124 (52.8%) were males and 111 (47.2%) were females. Fifty three point two percent used their mobile in class rooms 21-30 times/day and 12.3% even more than that. Fifty four percent students texted and 17% played games during the class. About 50% claimed that they spent 25-50% class time on their mobiles. About 30% claimed that they used mobiles to fight boredom in the class
LibGuides: Reference Management Software: Workshops

This guide will introduce you to the variety of Reference Management Software NTU Library supports and give you tips on how to make the most out of them.
Sali A. Tagliamonte. 2016. Teen talk. The language of adolescents. Cambridge: Cambridge University Press. Pp. xiv + 298. CAN $33.95 (softcover).

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System-Logical Approach to Content Analysis and Structuring Programs School Course in General Biology

The formation of a competent specialist of the agrarian direction, rationally using natural resources, at first incorporated in the school course of general biology. The article reflects a critical understanding of existing and existing domestic programs and textbooks of this course from the standpoint of a systematic approach, synergetics and dialectical logic. The content and structure of the course of general biology, based on this approach, are proposed.
LibGuides: Library Support for Research Students: Home

A Guide to library services for Research staff and students at the University of the Highlands and Islands
Content Based Image Retrieval System Using Fusion of Texture Features with Various Distance Metrics

Abstract- From previous few years, the necessity of a large database used to reserve vast images has been developed very fast and will also increase in the coming generation. From the enormous database, extracting and querying of the images perfectly is supreme to produce the visual content. Content Based Image Retrieval System (CBIRS) provides us utmost outcome to fetch the images from massive dataset. In these systems, various features like texture, shape, color, spatial information, edge etc. can be used to represent an image. This paper provides the review of basic features of an image denoted by color, texture and shape. For color feature extraction, techniques like color histogram (CH), dominant color descriptor (DCD), Color correlogram etc. have been described. Tamura, steerable pyramid, Gabor wavelet transform, grey level co-occurrence matrix (GLCM) are the techniques described for texture features extraction and lastly Zernike moments and MPEG-7 for shape feature extraction. If we are using single feature to retrieve the image, it takes more retrieval time. In this paper, a review of Content based retrieval system (CBIRS) is explained.
Towards Understanding Voice Discrimination Abilities of Humans and Machines

Author(s): Park, Soo Jin | Advisor(s): Alwan, Abeer A. H. | Abstract: An individual's voice can vary dramatically depending on word choice, affect, and other factors. Such intrinsic within-talker variability causes considerable difficulties when distinguishing talkers by their voices, both for humans and machines. For machines, phonetic content variability substantially degrades performance when utterances are short (e.g., l 10 sec). Humans, on the contrary, are less influenced by content variability, and they perform better than machines in such conditions. Hence, understanding which and how acoustic features are related to human responses might provide insights to improve machine performance. Yet, little is known about human and machine voice discrimination ability under various kinds of intrinsic within-talker variabilities.This dissertation presents studies of voice discrimination abilities of humans and machines under text, affect, and speaking-style variabilities. The main focus is in developing a feature set, based on a psychoacoustic model of voice quality, that can be used to improve machine performance and to find acoustic correlates with human responses. In order to systematically investigate the effects of within- and between-talker variability, a database was developed at UCLA. More than a hundred females and a hundred males were recorded with various speech styles, including sustained vowels, read sentences, affective speech, and pet-directed speech.Preliminary experiments indicated that the voice quality feature set (VQual1) was promising for predicting human responses, and for improving automatic speaker verification (ASV) performance which degraded significantly under text, affect and/or speaking-style variabilities. VQual1 was modified to another set (VQual2) to better differentiate talkers, leading to further improvements in short-utterance text-independent ASV tasks. Voice discrimination abilities of humans and machines for very short utterances (~ 2 sec) under high text and style variability were analyzed using read sentences and pet-directed speech. Humans were more accurate than machines for read sentence pairs, but the performance difference became small for style-mismatched pairs and for perceptually marked talkers. Humans' and machines' decision spaces were weakly correlated, indicating a weak or non-linear relationship between talker representations by humans and machines. However, for different-talker pairs, the VQual2-based system responses were highly correlated with human responses. Results also suggested that machines could supplement human decisions for perceptually marked talkers. Additionally, VQual2 was effective in perceived affect recognition, suggesting another application where voice quality features can contribute to predict human decisions.
PROTECTRAIL exhibition at the 9th UIC world security congress – PROTECTRAIL

On 13 and 14 November 2013, a PROTECTRAIL stand was set up for the 9th UIC world security congress in Paris UIC HQ, a two-day conference that brings together security stakeholders from all over…
Supervised Machine Learning Algorithms for Credit Card Fraudulent Transaction Detection

Cashless transactions such as online transactions, credit card transactions, and mobile wallet are becoming more popular in financial transactions nowadays. With increased number of such cashless transaction, number of fraudulent transactions is also increasing. Fraud can be distinguished by analyzing spending behavior of customers (users) from previous transaction data. Credit card fraud has highly imbalanced publicly available datasets. In this paper, we apply many supervised machine learning algorithms to detect credit card fraudulent transactions using a real-world dataset. Furthermore, we employ these algorithms to implement a super classifier using ensemble learning methods. We identify the most important variables that may lead to higher accuracy in credit card fraudulent transaction detection. Additionally, we compare and discuss the performance of various supervised machine learning algorithms that exist in literature against the super classifier that we implemented in this paper.
Proper Guidance Image Generation Based on Saliency Factor for Better Transmission Refinement in Image Dehazing

Guided image filter is one of the most commonly used ways to refine transmission maps. However, since this filter transfers the structures of the guidance image to the filtering output, when the guidance image is the input image itself, even small textures in the input image will cause the change of transmission, which is obviously contrary to the principle that transmission changes only when scene depth changes. In this paper, saliency detection, which simulates the way human eyes work, is introduced into haze removal to tackle the above issue. We first use saliency detection to capture the depth change regions, and then the saliency value is used as an adjustable factor to compute proper guidance images, in which most texture details are blurred but the depth change regions are remained clearly visible. Experimental results show that our method has great superiority in detail recovery compared with other state-of-art methods.
A Multi-Sensor Approach for Near-Shore Tsunami Early Warning and Monitoring Earthquake Effects on Structures

Author(s): Saunders, Jessie Kate | Advisor(s): Haase, Jennifer S | Abstract: In this dissertation, we explore how high-rate displacement data from Global Navigation Satellite Systems (GNSS) sensors can be used in combination with other instrumentation, including strong-motion accelerometers and seafloor geodetic sensors, for applications to near-shore tsunami early warning and structural monitoring of earthquakes. Accurate estimates of fault slip amount and along-strike rupture extent are necessary for determining the coastal extent of high-amplitude tsunami waves. We describe how these values can be estimated using static slip inversions of coseismic data from GNSS sensors used in conjunction with seafloor coseismic data from hypothetical offshore networks. We find that a trench-parallel profile of offshore stations over the deformation front is an optimized offshore network for this approach. We find that the most accurate slip estimates require horizontal seafloor coseismic data which is currently not feasible to obtain in real time. We then explore how using existing real-time technology -- high-rate GNSS as well as onshore and offshore three-component strong-motion accelerometers -- could be used in a rapid hypothesis test of modified kinematic slip inversions to confirm the depth of slip location of a megathrust earthquake given that shallow earthquakes produce the most dangerous tsunamis. If the GNSS sensors and accelerometers are collocated, their data can be combined in a Kalman filter to produce seismogeodetic waveforms: broadband displacements that contain the high-frequency information from the accelerometers and low-frequency and static offset information from the GNSS sensors. As the GNSS and seismic monitoring networks were developed independently, many of these stations are not collocated. We compare with a shake table experiment how Micro-Electro-Mechanical Systems (MEMS) accelerometers perform relative to observatory-grade accelerometers at frequencies of interest, and evaluate their applicability to upgrading existing GNSS sensors into seismogeodetic stations for earthquake early warning and rapid response purposes. This experiment demonstrated the utility of the combined seismogeodetic data for structural monitoring, and we provide an example applying seismogeodetic instrumentation to record in-situ building motion for an aging reinforced concrete structure in Oklahoma, an oil producing region that is currently experiencing high rates of induced seismicity.
Early childhood teachers’ perspectives on unification educatio

본 연구의 목적은 통일 교육을 바라보는 유아 교사들의 사고과정을 알아보기 위해 통일 후 교육패러다임의 변화에 대하여 탐색하는 양적, 질적 사례연구이다. 31명의 유아 교사를 연구 참여자로 선정, 연구자와의 인터뷰를 통해 자료를 수집하였다. 이를 통하여 자료의 분석, 텍스트의 범주화 및 주제화를 통하여 유아 교사들의 통일 교육에 대한, 이야기를 탐색하고자 하였다. 그 결과 유아 교사들은 통일이 된다면 남북한이 화합을 위해 가장 우선시 되어야 할 점은 교육제도의 화합 (35개), 경제관념에 대한 화합(31개), 언어의 이질성 극복하기(25개), 국가체재의 화합(24개), 문화 이질성 극복하기(23개), 법체계의 화합(19개), 나라를 상징하는 것의 화합(17개), 교통체계의 화합(17개), 군사체계의 화합(11개), 역사교육의 화합(9개), 복지제도의 화합(7개), 통신체계의 화합(6개), 의, 식, 주의 화합(각4개), 정서, 자유, 종교의 화합 (4개) 등의 순서로 도출된 주제는 총232개로 나타났다. 또한, 통일 이후 유아 교사들은 유아교육 현장에서 교육이 이루어진다면 어떠한 점에서 교육의 변화가 일어날 것인지에 대한 집단토론을 실시 한 후 도출된 주제를 범주화하고 이름을 붙였다. 그 내용은 ‘통일 미래의 화합과 비전’, ‘통일로 가는 징검다리’, ‘통일의 느낌 경험하기’, ‘통일 한반도 사회교육’이다. 즉 통일에 대한 바람직한 인식과 사고는 통일 이후 효율적인 통일 교육을 기대할 수 있으므로 통일 교육에 대한 이해 및 연구를 통해 향후 통일 교육 정책 및 교육의 방향을 지원할 수 있는 기회를 제공하는데 의의가 있다.This study is quantitative and qualitative case study which explores the change of educational paradigm after unification in order to investigate how early childhood teachers think or view unification education. 31 early childhood teachers were selected as research participants and data were collected through interviews with them. Early childhood teachers perspectives on unification education were examined through data analysis, text categorization, and topicalization. As a result, the most important thing that teachers responded if unification of the two Koreas takes place was harmonization of an education system (35), followed by harmonization of economic ideas (31), overcoming heterogeneity in language (25), harmonization of the national system (24), overcoming heterogeneity in culture (23), harmonization of legal system (19), harmonization of the symbolism of the country (17), harmonization of the transportation system (17), harmonization of the military system (11), harmonization of history education (9), harmonization of welfare system (7), harmonization of a communication system (6), harmonization of food, clothing, and places to live (4 each), and harmonization of the ways of expressing emotion, freedom, and religion (4). The total number of themes that were derived from participants was 232. In addition, group discussions were held about what kind of educational changes would occur in early childhood education settings after unification. The data from the teacher discussion were categorized into harmonization and vision for national unification of Korea in the future , stepping onto the bridge to unification , experiencing the feeling of unification , and social education on the Korean Peninsula . Desirable recognition and thinking about unification can result in efficient unification education after unification. Thus, it is meaningful to have an opportunity to suggest the direction of education and unification education policy afterwards through the understanding and studying unification education.
TPhatic Means in Videoblogs (Based on Film Reviews on YouTube)

This paper is devoted to the analysis of phatic function realization in vlogs. Phatic function realization varies in different spheres such as everyday communication or mass media. Phatics in mass media is really significant because holding peoples’ attention is vital in this sphere. That’s why there are some specific phatic tactics which are observed by the author. After this these tactics are compared with phatic arsenal in internet media. The author comes to conclusion that phatics in videoblogs consists of various means from different spheres of communication. What is more, YouTube communication develops its own phatic means based on audience and technical factors.
Analysis on the current state of the continuity between early childhood and primary education through the curriculum of university and graduate school that train early childhood and primary teachers

이 연구의 목적은 유아교사와 초등교사 양성 대학 및 대학원 교육과정에 나타난 유·초 연계교육 관련 교과목 개설 여부를 통해 유·초 연계교육의 실태를 분석하는 데 있다. 이를 위해 ‘진로정보망 커리어넷(www.career.go.kr)’ 누리집에서 ‘보육’ 또는 ‘유아교육’이 포함된 학과와 ‘초등교육’ 학과가 설치된 대학을 검색한 후 각 대학 및 대학원 누리집에서 해당 학과 또는 전공의 교육과정을 살펴보았다. 연구 결과 유아교사 양성 대학은 209개 학과 중 11개 학과에, 유아교사 양성 대학의 대학원은 78개 학과 또는 전공 중 11개 학과 또는 전공에, 초등교사 양성 대학은 13개 대학 중 3개 대학에, 초등교사 양성 대학의 대학원은 13개 대학원 중 8개 대학원에 유·초 연계교육 관련 교과목이 개설되어 개설률이 저조한 것으로 나타났다. 그러므로 교사들이 유&#65381;초 연계교육에 대한 전문성을 갖기 위해서는 유아교사와 초등교사를 양성하는 대학 및 대학원이 적극적으로 그 책임을 다할 필요가 있으며, 국가에서 강조하는 유&#65381;초 연계교육이 실제로 이루어지기 위해서는 유아교사와 초등교사를 양성하는 대학 및 대학원에 유&#65381;초 연계교육 관련 교과목이 개설되어야 한다.The purpose of this study was to analyze the current state of the continuity between early childhood and primary education through the curriculum of university and graduate school that train early childhood and primary teachers. For this purpose, We investigated the curriculum of the department or major in each university and graduate school s homepage. As a result, the number of subjects related to continuity between early childhood and primary education was small. The subjects related to continuity between early childhood and primary education were 11 out of 209 departments of universities that train early childhood teachers, 11 out of 78 departments/majorities of graduate schools that train early childhood teachers, 3 out of 13 universities that train primary teachers, and 8 out of 13 of graduate schools that train primary teachers. Therefore, university and graduate school that train early childhood and primary teachers need to take active responsibility for teachers expertise in the continuity between early childhood and primary education. In addition, university and graduate school that train early childhood and primary teachers should open the subject related to the continuity between early childhood and primary education.
Achieving Syntax Interoperability of Existing Traffic Controllers and Intelligent Transport Systems

This paper presents a solution for achieving syntax interoperability between different systems. It is necessary to ensure that one system will accept data from the other systems and so to ensure efficient data exchange to work together, without changing the exchanged information. The goal of this research is to present a concrete solution of achieving syntax interoperability between existing traffic controllers and control traffic management system using DATEX II standard for Europe, based on Open Traffic Systems 2 protocol communication. The exchange of data and their intelligibility between the systems using the standard is the key for interoperability. The aim of this paper is to present how to convert binary format of data in any format which other traffic management system can understand. Syntax interoperability deals with the agreed data formats of communication so that machine-to-machine (system to system) communication can be parsed and understood by each machine (system). To achieve syntax interoperability with intelligent transport systems, it requires integrations at the following three levels: [1] In this paper, research will be focused on achieving syntax interoperability at the three levels previously mentioned. The solution is based on converting one data format (binary) to another data format (XML, etc.) which understood by systems.
ShodhGangotri-Repository of Indian Research in Progress: An Analysis

This present paper aims to provide the status of contributions made by the universities of India to the open access repository ShodhGangotri. There are 59 universities in India contributed 5153 synopses to ShodhGangotri as on August 13, 2018. ShodhGangotri plays an important role to avoid duplication of research work as it provides information about proposed research work submitted in various universities and educational institutions.
Nature-inspired cryptography and cryptanalysis

Cryptography, i.e., the study of keeping information confidential and authentic, and cryptanalysis, i.e., the practice and study of analyzing cryptographic techniques,1 have developed over the centuries in an arms race. Advantages on one side always have led to advantages on the other side. Thus, lots of talented scientists have invested their energy in improving either cryptographic algorithms, protocols, implementations and the like, or their analysis. In this strive, a broad spectrum of methods and approaches is used, ranging from pure mathematics to quantum physics. It is not surprising that also nature has been used as a guide, ranging from genetic algorithms (GAs) to design new cryptographic primitives to ant-colony algorithms to pursue most promising paths first in cryptanalysis. Consequently, a number of nature-inspired approaches have found their way into cryptology, comprising both cryptography itself and cryptanalysis. This chapter is structured into four parts. After the brief introduction into the importance of nature-inspired cryptology given above, some background and preliminary information will be presented. The central parts will cover general ideas (including classical approaches) and recent developments in nature-inspired cryptography and cryptanalysis, respectively.
Supporting Feature Engineering in End-User Machine Learning

A truly human-centred approach to Machine Learning (ML) must consider how to support people modelling phenomena beyond those receiving the bulk of industry and academic attention, including phenomena relevant only to niche communities and for which large datasets may never exist. While deep feature learning is often viewed as a panacea that obviates the task of feature engineering, it may be insufficient to support users with small datasets, novel data sources, and unusual learning problems. We argue that it is therefore necessary to investigate how to support users who are not ML experts in deriving suitable feature representations for new ML problems. We also report on the results of a preliminary study comparing user-driven and automated feature engineering approaches in a sensor-based gesture recognition task.