Reviewerly/exHarmony huggingface dataset:
DeepAssist: Deep Knowledge Grounding for Factual and Conversational Natural Language Interfaces

Author(s): Yavuz, Semih | Advisor(s): Yan, Xifeng | Abstract: Enabling humans to use natural language to interact with computers towards achieving certain goals such accessing factual information, finding restaurants, holding engaging conversations with an AI agent has been one of the central goals of Artificial Intelligence. Many people use natural language interfaces (NLIs) such as Siri, Google Assistant, and Alexa in their daily life. Furthermore, there are several more equally promising, but less explored domains such as health, law, customer service, etc. Hence, developing more reliable, capable, and extendible NLIs has the potential to lead to the next generation human computer interaction technologies. Although several promising results have been achieved in both academia and industry, there are still several challenges to tackle towards realizing such NLIs in full fledge. This thesis tackles the problem of building reliable NLIs by addressing the central challenges confronted with.The contributions of this thesis are presented in three main parts. The first part is covered by the first three chapters and focuses on factual (single-turn) NLIs that aim to generate a concise answer for factual user queries such as Who is the president of Canada?. We discuss how our proposed approaches for answer type inference and query revision of factual queries over a large knowledge base can help improve the performance of the state-of-the-art NLIs for factoid question answering task. In the third chapter, we present an in-depth analysis towards better understanding the kinds of language understanding capabilities required to solve current benchmarks.In the second part, we investigate conversational NLIs that can generate responses to user queries in a multi-turn fashion. With the goal of making these responses more informative and engaging for users, the main contribution of this study is to introduce principled neural architecture that can generate responses grounded on a relevant external knowledge by hierarchical attention and copy mechanisms.Learning to generate coherent and engaging natural language from data is one of the most crucial capabilities for the next generation NLIs that can speak with users. In the last part of this thesis, we focus on a more foundational line of research where we propose and discuss a novel training objective for conditional language generation models.
Ordering of Adverbials of Time and Place in Grammars and in an Annotated English-Czech Parallel Corpus

The data from a parallel annotated English-Czech corpus serve for testing the general issue of the variability of the mutual position of LOC and TWHEN in Czech and English (Sect.4.1) and for the analysis of the relation between information structure and the given order in the two languages (Sect.4.2).The most relevant and innovative results in the investigation, namely the cases where the position of TWHEN and LOC differs in Czech and English in that the same modification is placed in Topic in the sentence in one language and in Focus in the corresponding sentence in the other are presented in Sect.4.3.
LibGuides: LinkedIn Learning: Home

Online learning platform with over 13,000 courses taught by real-world experts. Includes Lynda.com content.
Identifying Explicit Features of Persian Comments

Recently, the approach towards mining various opinions on weblogs, forums and websites has gained attentions and interests of numerous researchers. In this regard, feature-based opinion mining has been extensively studied in English documents in order to identify implicit and explicit product features and relevant opinions. However, in case of texts written in Persian language, this task faces serious challenges. The objective of this research is to present an unsupervised method for feature-based opinion mining in Persian; an approach which does not require a labeled training dataset. The proposed method in this paper involves extracting explicit product features. Previous studies dealing with extraction of explicit features often focus on lexical roles of words; the approach which cannot be used in distinguishing between an adjective as a part of a noun or a sentiment word. In this study, in addition to lexical roles, syntactic roles are also considered to extract more relevant explicit features. The results demonstrate that the proposed method has got higher recall and precision values compared to prior studies.
ETHNO CULTURAL COMPETENCE IN PROFESSIONAL DEVELOPMENT OF TEACHERS

Appears in: ICERI2019 Proceedings Publication year: 2019Pages: 2663-2671ISBN: 978-84-09-14755-7ISSN: 2340-1095doi: 10.21125/iceri.2019.0693Conference name: 12th annual International Conference of Education, Research and InnovationDates: 11-13 November, 2019Location: Seville, Spain
LibGuides: Instructional Strategies: Videos

This guide is for the subject of Instructional Strategies. It contains resources available in the NCU Library.
(SELF-)ASSESSMENT OF IMPORTANCE OF PRIMARY FORM PEDAGOGUES’ MANAGERIAL COMPETENCES

Appears in: ICERI2019 Proceedings Publication year: 2019Pages: 11386-11393ISBN: 978-84-09-14755-7ISSN: 2340-1095doi: 10.21125/iceri.2019.2837Conference name: 12th annual International Conference of Education, Research and InnovationDates: 11-13 November, 2019Location: Seville, Spain
Global similarity based ontology to enhance the quality of big and distributed RDF data

Nowadays, the web content of e-commerce data is increasing rapidly, which make the traditional techniques to querying this resources not efficient, for that the researches focus to how using the new technologies to provide a relevant and complete answers to user query. Using Technologies of big data and web semantic are two new fields that can be exploiting to processes data semantically and to handle with storage of this hug data.
A study on physical access control using QR code as virtual identification system for door access control

The increase in criminal activities in today’s world is the cause of tremendous development in safety measures across the nation. One of the widely used safety measures is physical access control. Authentication methods of physical access control such as keys, biometrics (fingerprint, retinal scan), smart cards and One Time Password (OTP) require additional equipment and a high cost to purchase, install and to maintain it, whereby many organizations depending on their specific industry and its requirement along with budget allocation, may choose to opt for these features or not. Unfortunately, tools like keys and smart cards are not unique to specific users and could be possibly misplaced due to human error. OTPs are normally received as text messages on mobile devices and it could be accessed by other parties than the actual individual under minimal supervision by the owner of the device. In this innovative era, smartphones play a noteworthy part in our daily life. This device is easily detectable when it has been misplaced since it is being habitually utilized everyday. Hence, smartphone is utilized in our research due to its deliberate availability. An element that will be corporated on the device, is the Quick Response (QR) code. A QR code can now, not just solely save massive records, but additionally has the error-correction capacity. The QR code has been provided to each UPM students in the PutraVID (Putra Virtual Identification) application as a physical access control tool. The PutraVID has implemented the usage of QR code in the campus for everyday use. Although the QR code is utilized in a huge scale in the campus, there is no particular system to differentiate UPM students and the public, as they not more wearing their matric card or staff ID card as they used to prior to the introduction and implementation PutraVID. The campus environment became vulnerable to attacks as it became an opportunity for unauthorized people to trespass the facilities and caused damages. In order to cope with this issue, QR code is generated in PutraVID which is unique to individuals, as it contains their information such as matric number and name. This information is encrypted into a two-dimensional matrix code, used to scan and access facilities especially restricted areas. The QR code will not be the same for two people, as each student has their individual information stored in it, in order to avoid outsiders from having access to the campus environment. Hence, the entire ecosystem for this system is researched and developed in this paper inclusive of the hardware and software part which proficiently handles the problem. The system develops a centralized door access control management system which is used to store the time stamp of students and staff, and introduces an IoT-based door access control system using the QR code of PutraVID.
Distance Learning Factors Needed for Foreign Language Teaching: Perspective of University Policy Makers

This study aims to estimate the lecturers’ perspective on the Distance Learning Unit (Pendidikan Jarak Jauh Mata Kuliah – PJJ Makul). The implementation of this internet-based lecture can provide convenience and breadth of access for students, especially those constrained by the distance between residence/workplace and campus location. The respondents of this research will voluntarily involve Universitas Sarjanawiyata Tamansiswa (UST) lecturers of Graduate English Education Department who play role as policy makers and have formulated a curriculum in which there are some Distance Learning Units. These units are planned to be implemented by the UST Graduate Education Directorate. The main consideration for the holding of these units is the difficulty of UST Postgraduate students, most of whom have worked as teachers and employees of institutions and have difficulty in time and distance to study in a classroom. Distance Learning Units held by the Graduate English Language Education Department are expected to be able to provide a partial solution to these problems for recent and prospective students.
Exploring Small Group Discussion Method in Teaching Speaking. (A Case Study at the first grade of MA Al-Khairiyah Pabuaran).

Rike Umi A’ini. 152301794. 2019. Exploring Small Group Discussion Method in Teaching Speaking. (A Case Study at the first grade of MA Al-Khairiyah Pabuaran).This research investigated on the exploring small group discussion method in teaching speaking at MA Al-Khairiyah Pabuaran. It was conducted based on to the main problem. 1) How is Small Group Discussion applied in teaching Speaking? 2) How is the students’ respond in Speaking using Small Group Discussion? 3) What difficulties are faced by students’ in teaching Speaking? The research designed of this study was case study research with qualitative approach. The researcher collected the data from 15 students. The instruments were observation, and interview. The result showed that the teaching process using small group discussion method is a method that involves students’ in doing things and thinking about material. It involves students’ directly and actively in the learning process it self. It is found that the lack of the students’ ability in speaking and confident when they speak in front of friends. Thus in applying teaching speaking in the class, let the students gets involved actively, in order to achieve optimizing of students ability. The students respond on SGD feel the enjoy and happy, because they gets new vocabulary. In addition, relating to the difficulties in learning speaking because they have limited understanding of vocabulary and grammar.Keyword: Teaching Speaking, Small Group Discussion.
Detecting Bone Fracture Using Transfer Learning

Deep learning is a key technology which is used in medical image analysis to enhance informed decision-making. Decision-making models need accuracy for better outcomes. In this chapter, we have presented an application of Transfer Learning (TL) to detect open bone fracture using limited set of images. TL is a kind of self-evolving Deep Learning (DL) technique. In each iteration of TL, the model is improvised based on the knowledge transferred from the previously learned task. One of the research challenges in medical image analysis is the unavailability of large data set publicly. This data set is necessary for deep learning methods. There are many sources of image generation such as X-rays, CT scan, ECG, and Ultrasound. But, these images are not available to researchers due to privacy issue of the patients. In order to overcome this limitation of availability of large data set, we have used augmented data set. A small data set has been augmented to increase the image orientation and count. We have applied DL based Convolution Neural Networks (CNN) on medical images for overcoming the limitation of availability of large data set for training. We have attempted to solve the problem of open bone fracture detection using limited number of images. We have achieved this by applying Speeded Up Robust Features (SURF) extractor on preprocessed radiograph images. SURF is a local feature descriptor and detector. The outcome of SURF extractor is then fed to per-trained models using transfer learning technique. Our proposed system would ease the manual process of identifying the presence and extremity of bone fracture. The proposed approach detects fracture from the given X-ray images with an accuracy of 98.8%. Comparative analysis shows that transfer learning gives significantly comparable results as compared to training model from scratch or even better in some cases. There is a downside of the proposed approach as in some cases, TL is vulnerable to overfitting due to less training data, and in some cases, poor preprocessing might lead to the poor classification of data.
Methodological Foundations Of Communicative Creativity System Development Among University Students

The article discusses the methodological foundations of communicative creativity system development for university students, interpreted as a set of interconnected and interdependent components that represent a certain integrity, based on the use of a set of scientific approaches: systemic, participatory and discursive, implemented on the basis of the principles of cognitive content transformation into emotional, free communication choice, and creative behavior social reinforcement.The scientific approaches considered in the article were the methodological foundations of a system development for the formation of communicative creativity among university students.The materials of the article are of practical value for organizing the training process in the context of students' communicative creativity development.
SECONDARY IMMERSION TEACHER DEVELOPMENT AS AN UNFOLDING PROCESS

1 Mary Immaculate College, University of Limerick (IRELAND)2 Institute of Technology, Tralee (IRELAND)
An approach to secure EPUB ebook content

EPUB is an industry standard e-book format. Digital content owners and producers use Digital Rights Management (DRM) to protect and regulate the mechanism of distribution and usage of those digital assets. The features of content protection may range from limiting simple copying or transferring the content, and enabling reading to an authorized reader hardware/software, to complex enterprise distribution policies involving user and device authentication for a specific duration. Commercial E-Publishing services offer to help authors to self-publish or distribute their eBooks with DRM on agreed royalty terms. These E-Publishing services mandate extensive guidelines and procedures to make the content readable and use a proprietary format with DRM. Since International Digital Publishing Forum (IDPF) has no standardized algorithm for copyright protection of EPUB, there is a challenge to secure the EPUB content following the copyright recommendations. In this paper, we present an overview of the proposed EPUB Content protection and control system and explain a mechanism to protect the EPUB content in a cross-platform open source EPUB editor. We have implemented a prototype of the system using the ‘Sigil‘ EPUB authoring tool.
Availability Degree of Organizational Identification Dimensions of Kindergartens Care takers from their point of view - Afield Study in Lattakia City

The research aim to identify the Availability Degree of Organizational Identification Dimensions of Kindergartens Care takers in Lattakia City, and to identify the difference in the degrees of the sample according to variables (educational qualification, experience, training courses). The sample of (198) Kindergarten care takers for the academic year 2018/2019. The present research used the descriptive analytical approach. To achieve the object of the research a questionnaire has been included (36) methods, distributed to three dimensions (similarity, loyalty, membership), then the validity of the questionnaire was established though a jury of (7) of the teaching staff of educational at Damascus and Tishreen Universities. Pilot sample consisted of (24) Kindergarten care takers, Reliability was established by Cronbach – Alpha Reliability at least (0.89). The research ended to the Availability Degree of Organizational Identification Dimensions of Kindergartens Care takers in Lattakia City was middle degree. There was no statistically significant differences in the availability degree of organizational identification Dimensions of Kindergartens Care takers in Lattakia according to (experience), while the results showed significant differences according to (educational qualification, training courses). The study recommended that promote healthy organizational climate in order to help the Kindergarten care takers to participate in the decision making process, which in return strengthens the concept of organizational identification for them. هدف البحث إلى تعرف درجة توافر التماثل التنظيمي لدى مربيات رياض الأطفال من وجهة نظرهن في مدينة اللاذقية، وتعرف الفروق في متوسطات درجاتهن تبعا للمتغيرات الآتية (عدد سنوات الخبرة، المؤهل العلمي والتربوي، الدورات التدريبية)، واشتملت عينة البحث على (198) مربية روضة للعام الدراسي 2018/2019، وتم استخدام المنهج الوصفي. ولتحقيق هدف البحث تم تصميم استبانة تضمنت (36) عبارة، ضمت ثلاثة أبعاد هي (الولاء التنظيمي، التشابه التنظيمي، العضوية)، وتم التأكد من صدقها من خلال عرضها على مجموعة مؤلفة من (7) محكمين مختصين في كليتي التربية بجامعتي دمشق وتشرين، و التأكد من ثباتها بتطبيقها على عينة استطلاعية شملت (24) مربية روضة و حساب معامل ألفا كرونباخ، والذي بلغ (0.89). وانتهى البحث إلى أن درجة توافر التماثل التنظيمي لدى مربيات الرياض في مدينة اللاذقية جاءت بدرجة متوسطة، كما بينت النتائج عدم وجود فروق ذات دلالة إحصائية بين إجابات المربيات تبعا لمتغير عدد سنوات الخبرة، ووجود فرق ذو دلالة إحصائية تبعا لمتغير المؤهل العلمي والتربوي لصالح حملة دبلوم التأهيل التربوي، وتبعا لمتغير الدورات التدريبية لصالح المربيات اللواتي خضعن لدورات تدريبية. ومن خلال النتائج تم التوصل إليها قدمت مقترحات من أهمها: توفير مناخ تنظيمي ملائم لمساعدة مربيات الرياض بالمشاركة الفاعلة في عملية اتخاذ القرارات، من أجل تقوية مفهوم التماثل التنظيمي لديهم.
Library: Education - SMART Boards: Home

This is a quick 'Getting Started' guide for interactive displays with a focus on SMART Technologies products that are commonly found in Alberta K-12 schools.
Research on Reducing Water Content of Polycrystalline Enterprise Filter Cake

Abstract The filter cake in polycrystalline enterprise has high water content and therefore a large volume, which is difficult to regenerate, the common treatment method is to stack and landfill in the waste dumps. With the environmental pressure has became serious these years, it has a great significance to reduce the volume of filter cake. This research studied the filtration performance of different filtration methods for the polycrystalline enterprise waste water, namely traditional Chamber Filter Press, Chamber Filter Press &amp; passing compressed air, Diaphragm Filter Press. The results showed that the water content of filter cake pressed by traditional Chamber Filter Press is 80.6%, the passing compressed air method decreases the water content slightly. However, the water filter pressed method reduced the water content and the volume of the filter cake remarkably. It is more in accord with the national development production strategy of environmentally friendly, safety and efficiently.
LibGuides: Finding Textbooks: Online Retailers

A resource to help students explore their options when finding, renting, and buying textbooks.
Country of Origin Criteria for Digitalization with National IT Products

In today’s world, digital transformation enhancement in IT sector becomes crucial for efficient solutions in organizations. Institutions in public sector try to enrich its process solutions with additional products and services. On the other hand, especially in developing countries, there is a high tendency to obtain products with domestic resources in order to reduce financial expenses. Besides, it may be crucial for public and military institutions to develop IT products with domestic resources in order to preserve data security and privacy. Thus, there is a need to develop a reliable scale to measure nationality and domesticity of products. This study attempts to construct a methodology for determining country of origin of IT products. Suggested methodology was verified by interviews with experts in subject area.
ANALISIS DAN PERANCANGAN SISTEM INFORMASI PENDATAAN KELUARGA PENERIMA MANFAAT (KPM) BANTUAN PANGAN NON TUNAI (BPNT) PADA DINAS SOSIAL KOTA JAMBI

The Social Service Office of Jambi City faces difficulties in registering the people who receiving non-cashfood assistance. Data collection is still done conventionally so that it allows errors in the process of datainput, multiple identities, files build up, sometimes files are easily lost and difficult to find. This problemcauses the author to provide a solution in the form of a website-based KPM BPNT Data InformationSystem using Use Case Diagrams, Activity Diagrams and Class Diagrams as a system design model. Thedesign of the system is only limited to a prototype. The results obtained in the form of a Draft InformationSystem for KPM BPNT Information for Jambi City Social Service Office which can be implementedfurther so as to produce a data information system that supports the data collection activities of the JambiCity Social Service Ofice
Automation of the Questionnaire Subsystem in the System of the Library Reader Base Accounting

The purpose of the article is to create a comprehensive system that allows questioning of external and internal library respondents and analyze questionnaire results using reporting.Research methods are customer questionnaire methodologies, customer relationship optimization using questionnaire tools, comparative analysis of questionnaire tools and analytical processing of received information in modern information systems, methods of survey tools’ automation, data exchange mechanisms for interviewing external respondents, methodology for analysing survey results.The novelty of the study is the construction and development of automation tools for questioning and interviewing respondents in libraries, the creation of an interactive environment in the work of a modern library as a sociocultural institute.Conclusions. The implementation of the developed system when working with libraries to automate work with clients, the formation of a database of potential customers and other types of interaction with library respondents will significantly expand the range of relevant information in the areas of work with staff and customer relationships, more mobile to create a personnel policy and a policy of customer relations, bonus programs and the like. All this ultimately leads to a decrease in the risks of losing customers, staff errors and significantly affects the efficiency of modern libraries.