Reviewerly/exHarmony huggingface dataset:
A Study on the characteristics and applicability of the Teacher Training Program of the 2015 Revised Integrated Social Studies: A Paradigm Shift of the Teacher Training Program Development

이 연구의 목적은 2015 개정 통합사회 교원연수 프로그램의 특징 및 적용 가능성을 분석함으로써, 향후 통합사회 교원연수 프로그램의 개발 방향에 대한 시사점을 도출하는 것이다. 이를 위해 통합사회 과목 도입기의 교원연수 프로그램의 개발 및 운영 과정을 분석하고, 연수 참여 교사와 연수 강사를 대상으로 설문조사와 초점 집단 면접을 수행하였다. 먼저, 연수 프로그램의 특징을 분석한 결과, 연수 개발 및 운영 과정이 실행 연구의 성격을 갖고, 연수 강사 중심의 협력적 시스템을 구축하여 표준화된 프로그램 개발을 지향한다는 점이 드러났다. 또한, 연수 내용의 차원에서는 교육과정-수업-평가의 유기적인 흐름을 강조하고, 방법 차원에서는 실습을 강조하며, 교사 전문성 제고와 관련하여 협력적 관계를 통한 집단전문성의 향상을 모색한다는 특징이 드러났다. 이와 관련하여, 연수 참여 교사들은 연수 프로그램에 대해 높은 만족도를 보였으며, 연수 참여 교사 및 연수 강사들은 흐름이 있는 내용 구성, 실습형 연수, 다른 전공 교사들과의 협력적 분임 활동, 우수한 현장 교사로 구성된 연수 강사 활용, 개별 강사가 아닌 시스템에 기반 한 연수 개발 및 운영 체제 등을 연수 프로그램의 강점으로 파악하였다. 이상의 분석 결과를 바탕으로 향후 통합사회 연수 프로그램 개발 방향에 대한 시사점을 제안하였다.The goal of this study is to analyze the characteristics and applicability of the Teacher Training Program of the 2015 Revised Integrated Social Studies Subject. Also, it is to draw implications for the future direction of teacher training program development. For this purpose, we analyzed the development and operation procedures of teacher training programs as well as conducted a survey and focus group interviews with instructors and teachers who participated the program. As a result of analyzing the characteristics of the training program, its development and operation procedures were characterized as an action research, which builds a collaborative system based on a instructor learning community and protocol-based standardized program development. In terms of the training program content, it emphasized an organic flow between national curriculum, class and evaluation. Furthermore, in terms of the training methods, it emphasized a practice while showing characteristics of finding ways to improve a collective expertise through cooperative relationships that are related to enhancing teacher professionalism. The participating teachers showed a high degree of satisfaction with the details of the program. Both the participating teachers and the instructors appointed streamlined content composition, practical training, cooperative activities with teachers of different sub-major, utilization of training instructors who are excellent on-site teachers, development and operating system of the program based on a system not an individual instructor as the strengths of the practice-based program. Based on the results of this study, we proposed implications to improve the training system development for the future integrated social studies training program.
Development of Mobile Based Network Monitoring Application in Bandung City Office of Communication and Informatic

Based on the results of research conducted at the Bandung City Communication and Information Service, data was obtained that the problem with DISKOMINFO is that the network monitoring application that is owned is cacti network, the application only shows on the monitor screen of the DISKOMINFO control room and if there is a problem on the network, for example, if it is not properly connected, the network technician does not immediately know this because there is no notification directly to the network technology. To overcome these problems, as a solution the author recommends to build and implement network monitoring in activities on the use of smartphones, namely Android applications so that the application can be used by network technicians to simplify and speed up the process of monitoring in real time and wherever it is because the system will immediately provide notification according to network problems that occur. The method used in this study is the literature method and interview where data collection problems will be a reference for a solution. In the construction of this application the author uses the JAVA programming language and database storage using MySQL. The author also uses UML (Unified Modeling Language) in helping system design analysis. The Android-based network monitoring application that is built can be used by network technicians of the Bandung City Communication and Information Service Office, as a support for its work, which is monitoring the network according to notifications received from the system in the Bandung city government environment in real time
Santa Rosa's past and future earthquakes

First posted August 26, 2019 For additional information, contact: Earthquake Science CenterU.S. Geological Survey345 Middlefield Road, MS 977Menlo Park, California 94025 Santa Rosa is no stranger to earthquakes. This northern California city was damaged several times in the late 19th and early 20th centuries by shaking from earthquakes, culminating in the devastating earthquake of 1906, whose rupture passed 20 miles to the west of the city on the San Andreas Fault. Then in 1969, Santa Rosa was again strongly shaken and buildings were damaged by a pair of nearby, moderate-sized earthquakes on the Rodgers Creek Fault. Since then, scientists have learned how the underlying geology increases shaking damage in Santa Rosa, have mapped where the Rodgers Creek Fault runs beneath the city, and have discovered that this fault is capable of much larger earthquakes. Following the 1969 earthquakes, Santa Rosa rose to the challenge of improving seismic safety; however, continued progress is needed to increase seismic resilience and reduce the impact of future earthquakes.
A Study on the Korean Cultural Program for Foreign Students under Global Korea Scholarship

본 연구는 해외 거주 외국인 대학생을 대상으로 교육부가 지원해 오고 있는 글로벌 코리아 장학생을 위한 한국 문화 체험 프로그램에 대한 사례 연구이다. 국제적으로 한국과 한국 문화에 대한 관심이 높아지면서 교육부는 국가적 차원에서 전략적 주요 국가를 선정하고 그 나라의 대학생을 초청하여 한국어와 한국 문화를 체험하는 프로그램을 제공해 오고 있다. 본 연구에서는 교육부의 위탁을 받은 서울의 한 대학에서 30명의 글로벌 코리아 외국인 장학생들에게 한국 문화 체험 프로그램을 제공한 후 내용과 참여에 대한 만족도를 조사하였다. 참여자들의 만족도를 파악하기 위해 설문조사를 실시하여 정량적으로 분석하였고, 면담을 시행해 문화 프로그램에 대한 반응을 분석하였다. 또한, 조력자로 참석한 7명의 한국인 대학생 포커스 그룹인 서포터들에게 심층 면담을 시행하였다. 연구결과 참여자들의 프로그램에 대한 만족도가 상당히 높았고 특히 팀별로 준비한 문화 프로젝트를 통해 한국 문화뿐만 아니라 참여자들의 상호문화에 관한 관심과 생각이 긍정적으로 변화되는 것을 볼 수 있었다. 이러한 결과는 단기간의 외국인 문화 체험 프로그램을 시행할 경우 프로젝트 활동을 통해 학생들의 참여 동기를 높이면서 실질적인 한국어 학습으로 확장될 수 있다는 가능성을 보여주었다. 다른 한편으로 앞으로 외국인을 위한 문화 체험 프로그램에 한국어 언어 사용의 활용도가 높은 문화 활동 프로젝트와 교육 활동이 필요하다는 것을 시사해주고 있다.This study describes the general contour of the cultural program for foreign students who were selected for the Global Korean Scholarship (GKS) in Korea. 30 GKS participants from 26 different countries were invited to participate in the Korean cultural program for 11 days at a university in Seoul. In the program, the participants were divided into different groups. They were assigned a cultural project and given a Korean supporter’ assistance. The seven Korean supporters in each group played a significant role in facilitating the foreign students’ improved understanding of the Korean language and culture. A questionnaire was administrated to evaluate the students’ satisfaction and responses towards the program in general and the cultural project in particular. For further research, the researchers interviewed the participants and the Korean supporters about the program. The results revealed positive responses to the cultural program and the team project. The participants developed some degree of inter-cultural awareness, introducing their own language and culture and respecting each country’s culture during the team projects. This study implies that a cultural program for invited foreign students should include the active use of the Korean language on the basis of inter-cultural communication.
A study on Aspect of Teacher’s Speech and Educational Implications in Korean Language Class of Middle School : Focusing on the ‘QuestionAnswer-Evaluation/Feedback’ Dialogue Sequence

이 연구는 교실의 역동적 상호작용 가운데 교사와 학생 간 대화에 주목하여 공적인 의사소통 상황에서 학습을 전제로 한 수업 대화를 질적으로 분석하고자 하였다. 특히 이를 위해 미시 기술적 연구의 관점을 취하여 교실이라는 특수한 공간에서 이루어지는 구체적인 수업 장면을 대상으로 교사 발화의 양상에 주목하고 이로부터 교육적 함의를 도출하는 데 목적이 있다. 교수 화법 양을 살펴보기 위해 서울 강서구에 위치한 M중학교(남녀 공학)의 2학년 국어 수업을 대상으로 수업 관찰, 비디오 및 오디오 녹화자료, 현장 필드 노트자료를 수집하였고, 이를 바탕으로 수업 대화의 과정을 질적으로 분석하고 탐구하였다. 기존의 연구들이 여전히 대화연속체 유형화에 관한 연구나 교사의 질문 발화, 평가 및 피드백 발화 자체에만 초점을 둔 연구임을 지적하고 교실이라는 특수한 공간에서 교사와 학생 간의 역동적 상호작용의 모습을 온전히 포착하지 못하는 한계에서 벗어나기 위해 수업의 각 단계, 세부 과목, 교사의 의도 등 교실을 둘러싼 다양한 맥락을 고려하여 교수 화법의 양상을 총체적으로 살펴보았다. 연구 결과 대화연속체의 ‘전략적’ 사용을 고려해야 한다는 점, 관계 중심적 질문을 통해 감정적 소통과 학문적 소통과의 균형을 고려해야 한다는 점, 지식의 공동 구성을 위한 토대 마련을 위해 ‘집단 대화’로서의 수업 대화를 강조할 필요가 있음을 확인하였다.This study involved a qualitative analysis of in-class dialogue, particularly focusing on teacher-student dialogue in dynamic in-class interactions, based on the assumption that learning occurs under conditions of public communication. This is to examine the patterns of teachers’ speech in specific educational settings within classrooms and draw educational implications therefrom, using the micro-ethnographic research method. To observe the teachers speech, data was collected ’ from Korean language classes for 2nd graders of M middle school (coed school) located in Gangseo-gu, Seoul, using the methods of class observation, video and audio recordings, and field note-taking. The process of in-class dialogue was qualitatively analyzed, based on the collected data, and this analysis was used to examine language patterns during the process of teaching. Most of the previous studies focused on the categorization of dialogue sequences (question utterances, evaluations, and feedback utterances of the teacher). Hence, those studies could not completely define the dynamic interactions between the teacher and students in the unique classroom setting. This study aimed to overcome the limitations of previous studies by comprehensively investigating the patterns of language of teaching while considering various contexts surrounding the classroom, including each stage of a class, specific teaching subjects, and the intent of the teacher. The results of this study revealed that it is necessary to consider the strategic use of dialogue sequences and to take into account the balance between emotional and academic communication through relationship-oriented questions, as well as to emphasize in-class dialogue as collective dialogue, to lay the groundwork for co-construction of knowledge.
The Conceptıon of Learnıng Model of Wrıtıng a Scıentıfıc Artıcles For Non-Natıve Speakers Based on Blended Learnıng

Indonesian Language for Non-Native Speakers (ILNS) learning is mostly implemented in various universities in Indonesia through various programs. Along with the government's policy, various Indonesian universities encourage their students to write scientific articles for publication, both for proceedings and journals. Therefore, it is needed a learning model to write scientific articles. Generally, these learning activities have learners who come from the digital or Z generation. Referring to the characteristics of learners, learning activities to write scientific articles can be done based on blended learning. This research aims to discuss the theoretical studies which are needed in developing a model of learning to write scientific articles based on blended learning. In accordance with the purpose of writing, this research describes theoretical studies of learning models, second language writing, scientific articles, blended learning, and the development of blended learning.
Movie Plot Analysis via Turning Point Identification.

According to screenwriting theory, turning points (e.g., change of plans, major setback, climax) are crucial narrative moments within a screenplay: they define the plot structure, determine its progression and segment the screenplay into thematic units (e.g., setup, complications, aftermath). We propose the task of turning point identification in movies as a means of analyzing their narrative structure. We argue that turning points and the segmentation they provide can facilitate processing long, complex narratives, such as screenplays, for summarization and question answering. We introduce a dataset consisting of screenplays and plot synopses annotated with turning points and present an end-to-end neural network model that identifies turning points in plot synopses and projects them onto scenes in screenplays. Our model outperforms strong baselines based on state-of-the-art sentence representations and the expected position of turning points.
Bin-wise Temperature Scaling (BTS): Improvement in Confidence Calibration Performance through Simple Scaling Techniques

The prediction reliability of neural networks is important in many applications. Specifically, in safety-critical domains, such as cancer prediction or autonomous driving, a reliable confidence of model's prediction is critical for the interpretation of the results. Modern deep neural networks have achieved a significant improvement in performance for many different image classification tasks. However, these networks tend to be poorly calibrated in terms of output confidence. Temperature scaling is an efficient post-processing-based calibration scheme and obtains well calibrated results. In this study, we leverage the concept of temperature scaling to build a sophisticated bin-wise scaling. Furthermore, we adopt augmentation of validation samples for elaborated scaling. The proposed methods consistently improve calibration performance with various datasets and deep convolutional neural network models.
@scottishstoater Why not include CC-0 or ...

@scottishstoater Why not include CC-0 or even CC-BY-SA photos from Flickr...I love this approach as I get more art than stock.
LibGuides: Hack Your Library: Guide for New IUPUI Faculty: Home

Use this guide to meet your library liaison, learn about our institutional repository, and create digital profiles to disseminate your work.
Succinct Arguments in the Quantum Random Oracle Model.

Succinct non-interactive arguments (SNARGs) are highly efficient certificates of membership in non-deterministic languages. Constructions of SNARGs in the random oracle model are widely believed to be post-quantum secure, provided the oracle is instantiated with a suitable post-quantum hash function. No formal evidence, however, supports this belief.
An incremental approach for solution of text clustering problem

Text clustering is a significant study field in data mining. In text clustering, hidden-information is revealed by analysing text datasets with data mining techniques. Text clustering is used in many current application areas such as document recognition, document organisation, indexing, and visualisation. Since it is used in important applications it is in need of efficient algorithms. In this paper, k-means based algorithms in literature are investigated and a novel k-means based text clustering algorithm is defined. Proposed algorithm is compared with existing k-means algorithm in literature on five real-world datasets. Obtained implications show that recommended algorithm is efficient and useful.
Analisis dan Perancangan Desain Sistem Informasi Pembayaran Tagihan Supplier Pada PT. Jaya Teknik Indonesia Berdasarkan Kebutuhan Sistem

Abstract - Economic development in Indonesia is currently growing rapidly. To achieve this economic development, a good system is needed. One of these systems is a payment system. That is a system that deals with payments made by a company to suppliers so that a job can be completed on time without any financial disturbances. An integrated system makes it easy for employees to do their work. PT Jaya Teknik Indonesia is a contracting company. The existing system of PT Jaya Teknik Indonesia is currently not computerized. The manual process for checking the billing file causes the length of the payment process due to the large number of billing files that have to be processed and not connected between one part and another so that to conduct a complete data check must ask directly the relevant part. Because of this, the author tries to make the bill payment system of suppliers at PT Jaya Teknik Indonesia. This payment system analysis is made to solve the problems that exist in this company in order to achieve an effective and efficient system in carrying out activities in the company.&#x0D; Keywords: System Design, Payment Information System Design, Payment Information System, Bill Payment Information System
LENN: Laplacian Probability Based Extended Nearest Neighbor Classification Algorithm for Web Page Retrieval

Web page prediction is the area of interest that enables to tackle the problem of dealing with the massive collection of the web pages, mainly, in retrieving the highly relevant web pages. The hectic challenge of the web page prediction methods relied on time-effective and cost-effective management. The problem of dealing with the issue is tackled using the efficient web page retrieval algorithm. The paper proposes a new classifier called, Laplacian probability based Extended Nearest Neighbor (LENN)that is formed through the integration of the Laplacian probability with the Extended Nearest Neighbor (ENN)classifier. The proposed LENN classifier determines the nearest web pages of the query. Accordingly, the web page retrieval is done in three important steps, such as pre-processing, feature indexing and web page retrieval. The key words are stored in the database for performing the feature match such that the highly relevant web page is retrieved based on the maximum value of the score. The experimentation using five benchmarks prove that the proposed method is effective compared with the existing methods of web page retrieval. The maximum precision, recall, and F-measure of the proposed method is found to be 98%, 96.7%, and 97.3%, respectively.
<i>The New Oxford Shakespeare Authorship Companion</i>

Twenty years ago, Richard Janko criticized the partiality and narrowness of Morris and Powell’s New Companion to Homer: The prevalent focus on the limits to our knowledge has become all too often a...
Analysis of Deep Learning Architectures for Human Action Recognition

Given the advances done in Image Classification and the great success this field is obtaining, Video Classification is the natural follow-up, although this task has more difficulties. This thesis describes the results of the implementations of some of the most successful techniques and approaches and then, the results of their fusion in order to achieve better performance and accuracy. Firstly, the Single Stream Architecture has been proposed with an LSTM implementation. Then, to consider also the temporal behavior, the Two Streams Architecture has been reproposed with two LSTM subnetworks. Moreover, in order to consider long-range temporal information as well, the Temporal Segment Network main concepts have been implemented. The implementations exploit the potentiality of Python, programming language, and Keras, a Deep Learning Framework that provides high-level neural networks APIs. The experiments exploit the Optical Flow Estimation techniques, namely Farneback estimation and LiteFlowNet warped estimation. They have been performed on UCF101 Human Action Recognition dataset. The results obtained are consistent with the state of the art techniques.
“Follow the Money” - Mapping issues with digital platforms into actionable theories of harm

The paper argues that antitrust tool should be seriously dialled up and can play a major role in the digital space if we are willing to evolve the economic (and legal) thinking on theories of…
S-Net, A Neural Network Based Countermeasure for AES

Hardware implementations of encryption schemes are unprotected against side-channel analysis techniques. Physical realizations of secure algorithms leak side-channel information through power, noise, time, sound and electromagnetic radiation. Data-dependent correlations with this leakage are exploited to obtain secret information. Power analysis techniques are powerful, undetectable and non-intrusive attacks that allow an adversary to extracts the secret key of the encryption scheme. These techniques rely on analyzing the power consumed by these physical realizations using leakage models and statistical techniques. Implementing a countermeasure against power analysis attacks require a thorough understanding of the attack, encryption algorithm and it's implementation on hardware and software. Conventional countermeasures for AES against power analysis techniques minimize the side-channel information by implementing masking and hiding strategies at different abstraction levels. This thesis investigates a new class of countermeasures known as through the implementation of the Substitution Box transformation using a neural network (S-Net). The inherent properties associated with the neural network architecture is expected to remove the correlation between the power consumed and the secret key used for encryption by breaking the linear power characteristics assumed by the leakage model. The proposed approach was implemented in software and an attack framework is used to run side-channel attacks and quantify information leakage. The effectiveness of the implemented countermeasure is measured by checking and quantifying it's security against Differential and Correlation Power Analysis, Template and Deep Learning based techniques. The results indicate that the implementation is secure against these attacks.
An Analysis of the Importance of Vocal Music Teaching to the Cultivation of Students' Comprehensive Ability

This paper discusses the present situation and future development direction of vocal music in normal universities, which shows that vocal music teaching in normal universities is of great importance in cultivating students' comprehensive ability.
Rancang Bangun Sistem Informasi pelayanan Paket Pernikahan Pada Mindo Wedding Organizer

Abstract: Mindo Wedding Organizer is a business in the field of wedding and catering services that includes wedding planning consultations or other large events that serve catering, rental clothes and bridal makeup. In this study, researchers identified the problem using an Ishikawa diagram so that it was known the cause and effect of the existing problems. Next, the researchers propose a computerized system with the waterfall method. With Computerization System the problems that exist in this company, especially in terms of data processing can be resolved properly, and with a computerized system can be achieved an activity that is effective and efficient in supporting the activities of this company.&#x0D; &#x0D; Keywords: Wedding Package Services, Information Systems, Ishikawa, Waterfall
Approximate Learning of Limit-Average Automata.

Limit-average automata are weighted automata on infinite words that use average to aggregate the weights seen in infinite runs. We study approximate learning problems for limit-average automata in two settings: passive and active. In the passive learning case, we show that limit-average automata are not PAC-learnable as samples must be of exponential-size to provide (with good probability) enough details to learn an automaton. We also show that the problem of finding an automaton that fits a given sample is NP-complete. In the active learning case, we show that limit-average automata can be learned almost-exactly, i.e., we can learn in polynomial time an automaton that is consistent with the target automaton on almost all words. On the other hand, we show that the problem of learning an automaton that approximates the target automaton (with perhaps fewer states) is NP-complete. The abovementioned results are shown for the uniform distribution on words. We briefly discuss learning over different distributions.
Research Guides: Library Resources for MSN Students: Creating Your Search

This guide provides information on how best to utilize library resources throughout your MSN program at the College of Nursing. How to take your clinical question to an advanced search strategy using the PICO method