Reviewerly/exHarmony huggingface dataset:
Artificial neural computing with nanophotonics (Conference Presentation)

We show that optical waves passing through a nanophotonic medium can perform artificial neural computing. Complex information, such as an image, is encoded in the wave front of in-put light. The medium continuously transforms the wave front to realize highly sophisticated computing tasks such as image recognition. At the output, optical energy is concentrated to well defined locations, which for example can be interpreted as the identity of the object in the image. These computing media can be as small as tens of wavelengths in size and thus offer extremely high computing density. They exploit sub-wavelength linear and nonlinear scatterers to realize sophisticated input-output mapping far beyond traditional nanophotonic devices. To enable these complex neural computing, we draw inspiration from artificial neural network and use stochastic gradient decent to optimize nonlinear nanophotonic structures with structural gradient computed from adjoint state method.
Improving distributed vector representation of short and noisy texts in the context of online classification

The classification of messages generated by users on social networks and other Internet platforms is challenging because they are often short and full of slang, abbreviations, and idioms, which hinders the feature extraction. To address this problem, this study proposes a data augmentation technique to increase the number of data in order to improve the quality of the textual representation model and, consequently, the performance in the classification. The proposed technique is evaluated in the online classification of sentiments in Twitter messages. The experiments were carefully performed and a statistical analysis of the results indicated that the data augmentation is effective in online classification of short and noisy text messages.
Perception Towards the Performance of Outboard Motors Among Malaysian Coastal Fishermen in Manjung, Perak

Fishermen, particularly those in coastal seas, are often categorized under low-income community. Many efforts have been taken to assist this community to sustain their livelihoods, but hampered by various factors such as high operational cost. Coastal fishing boats specifically made from fiberglass are greatly dependent on petrol-powered outboard motor to generate power. The high fuel consumption of outboard motors is believed one of the factors that contribute to their high operational cost. To this end, it is necessary to dive into the fishermen’s perception on this issue. This paper presents finding on the perception of coastal fishermen towards the performance of outboard motors and their views on fuel-saving engines. Some key areas are discussed and explained in this paper. A questionnaire had been developed as a survey tool; divided into three parts, covering cost factor, engine factor and operation factor. The questionnaire was developed based on Likert scale and distributed to randomly selected respondents among the fishermen community at Manjung, Perak. The data was then processed using Statistical Package for Social Science (SPSS). The results showed that inshore fishermen are not satisfied with petrol outboard motor, with more than 95% confidence level.
Peningkatan Keterampilan dan Teknik Presentasi bagi Pustakawan Perguruan Tinggi

The purpose of this study is to improve the skills and presentation techniques for librarians and library managers at Padjadjaran University. The dedication uses study analysis method. The results showed that there was an increase in presentation skills and techniques for librarians and library managers at Padjadjaran University through workshops. Workshop participants attended all the series of activities, starting from listening to the presentation of the material by the speakers, discussing it, and doing the practice of making presentation material using Prezi software. It is expected that will come. Participants will further develop with these activities.
A teacher and a student today: antinomies of modern education from the standpoint of the theory of generations

The article highlights one of the current trends in the development and optimization of modern education – taking into account the characteristics of each of the present generations and the use of such learning tools that reflect and embody these features. We are talking about both the didactic and technological features of the learning process (how to learn and train?), the most sensitive for each of the generations, and the semantic, essential aspects of the learning process (what and why learn and train?) that make the learning process itself relevant, meaningful, promising for each of the generations, not formally required. The result of such an approach to optimizing the learning process is to increase the effectiveness of both the learning process and the education system as a whole in each specific historical period in the development of society. Yes, of course, what is the modern Teacher and the modern Pupil today?
Library Guides: Open Science Framework (OSF): Best Practices

OSF is an open source cloud-based project management platform that helps teams collaborate in one centralized location and provides file hosting, version control, persistent URLs, and DOI registration.
COMPETÊNCIAS EMPREENDEDORAS PARA PRESTAÇÃO DE SERVIÇOS DE INFORMAÇÃO POR BIBLIOTECÁRIOS NO BRASIL

This work aims to analyze the entrepreneurial skills of librarians who have companies in the area of Information Management in Brazil. In order to do this, we sought to know the entrepreneurial skills according to the literature, the librarians who have a company in Brazil and the services provided, the entrepreneurial training of these librarians and their perception of the skills required to undertake new businesses.The universe was composed of Brazilian librarians mapped through contact to class entities and via Portal EmpreendeBiblio, totalizing 46 librarians who accepted to participate in the research.To analyze the competences, the conceptual model of entrepreneurial skills of Cooley (1990) was used.The results point to the predominance of the female gender among the entrepreneurial librarians, in the age range between 31 and 40 years; the companies are located mainly in São Paulo, Rio de Janeiro and Santa Catarina, most of which are formalized and have business oriented to the management of conventional and digital documents and files, consulting in the elaboration of projects, organization of libraries, standardization of works and projects, among other services.Most of them took specialization courses.Regarding the category of entrepreneurship competences, it is evidenced by the participating librarians that the most important ones were commitment, information search, persuasion, networking and persistence.Finally, based on all the information obtained, a map of enterprising skills of the librarians was elaborated.It was concluded that, although librarians have indicated that they possess all entrepreneurial skills, there is a tendency that some skills are more important than others.
Milli e-Arşiv Bilgi Sistemi Ağı ve Veri Merkezi Yapılanma Önerisi: Yenilikçi Teknolojiler-Yeni Nesil Arşivciler-Yapay Zekâ ve Ötesi ...

Today, business and transaction processes in institutions are realized with information management systems that use innovative information technologies in electronic environments. In this context, applications affecting information management systems such as information management and information security, big data, robotics process automation, machine learning, artificial intelligence, quantum technologies have been among the priorities of institutions and government. Archives have become prominent in every period of history as a symbol of independence of states and societies. In the information age, nations and states need archives more than ever before. Archives are evolving with developing technology and a change and transformation is experienced. Managing this change and transformation well is not only a responsibility but a necessity. If we want to carry the past and the present into the world of the future, we have to structure our archives in accordance with today's conditions and move them to the future. We have to apply developments such as artificial intelligence, machine learning, robotic process automation, quantum technologies to records management and archive processes. Because humanity is now governed through information systems, the main element/phenomenon of these systems is data, information and records. Government agencies need to use innovative technologies and develop ‘Enterprise e-Archive Data Centers’ to manage their data and information in more secure environments. In this context, ‘National e-Archive Information System and National Archive Data Center’ should be configured. Records management and archiving is not a profession that will vanish naturally, but it can disappear in the form of outdated. Then we have to transform this field, the profession, and bring a new dimension.
A Study on the Korean Culture Education Using legal Holiday

언어와 문화는 불가분의 관계로서 외국어를 학습하는 과정은 목표어에 대한 습득과정일 뿐만 아니라 목표어 공동체 구성원이 기본으로 공유하는 문화 지식과 배경에 대한 학습 과정이기도 하다. 외국인 학습자가 한국인이 상식적으로 알고 있는 기본 문화 배경 지식에 대한 결여는 의사소통 단절로 이어질 수가 있다. 한국의 공휴일은 한국의 역사, 민족의 기념일 및 정책 제정 등과 긴밀히 연관이 있는 문화적 내용을 포괄하고 있을 뿐만 아니라 달력에 표기되어 한국인의 일상생활, 학습과 업무 배치에도 상당한 영향을 미치게 된다. 본 연구에서는 이러한 공휴일의 개념, 분류, 공휴일의 각 요소에 관련된 연혁, 배경 지식 문화 등을 살펴보고 이로부터 배경의 일관성, 통시적 연속성, 민족적 계승성과 조건적 변이성 등 공휴일의 4가지 특성을 도출하여 이를 활용한 한국 문화 교육 방안을 제안하였다. 이는 외국인 한국어 학습자, 비원어민 교사의 한국 문화 교수·학습에 실효성 있는 도움을 주고 교재의 공휴일 관련 문화 내용 편찬에도 일조할 것으로 기대된다.Language and culture are inseparable; learning a foreign language is not only about acquiring the target language but also about learning the cultural background of the community and the people who use the language. A lack of elementary knowledge of the cultural background by foreign learners of the Korean language, considered common sense by native Koreans, may lead to communication breakdown. Korean legal holidays represent culturally significant events, closely related to the history, anniversaries, or policy-making of the nation, besides they are noted on the calendar, influencing the everyday lives of Koreans, not to mention study and work schedules. Subsequent to defining and categorizing legal holidays, this study examined the history and knowledge of the cultural background of legal holidays. Next, four characteristics of legal holidays-consistency of the background, diachronic continuity, ethnic inheritance, and conditional variability were extracted from the results and effective measures to teach Korean culture to foreign learners of Korean was suggested. The results of this study are expected to help non-native teachers as well as foreign learners of the Korean language to teach and learn Korean culture and pave the way for writing the content related to legal holidays in textbooks.
THE RELATIONSHIP BETWEEN LANGUAGE LEARNING STRATEGIES AND VOCATIONAL LEARNERS’ EFL PROFICIENCY

Abstract&#x0D; Language learning strategies (LLS) are perceived as tools for teacher to educate the learners behave self-directed learning. It also known, improving language proficient. In the case of vocational college students, they practically use self-directed learning in learning English outside classroom since they should pass the TOEFL test after the internship as the requirement of graduation. Hereby, this study identifies: (1) the frequently language learning strategy used by vocational college learners, (2) the relationship between language learning strategy and English proficiency, (3) the strategy used by learners which could predict learners proficient. The participant is 52 students of Politeknik Kota Malang in 2016- 2017 academic year which done the TOEFL test and willing to complete the Strategy Inventory of Language Learning (SILL). This study employed quantitative approach and correlational research as the research design to identify the relationship between variables. There are six strategies of language learning strategies by Oxford (1990) as the independent variables (predictors) and English proficiency (criterion) as the dependent variable. Therefore, multiple regression analysis employed in this study. The result showed that metacognitive strategy reported highly used by learners. While compensation, cognitive, social strategies reported medium used by learners. The low strategy used was affective and memory strategies. Although, language learning strategy cannot simultaneously predict the English proficiency there is one strategy that can be used to predict English proficiency, namely compensation strategy.&#x0D; Keywords: Language Learning Strategies, EFL Learners, English Proficiency.
With pain and hope for the renaissance of Ukrainian education. Interview with the All-Ukrainian scientific and practical journal “Headmaster of a School, Lyceum, Gymnasium”

In recent years, speeches and publications of journalists and politicians, educators and psychologists, and all kinds of experts, have raised the issue of education. It is quite obvious that this is not some coincidence or another intellectual fashion, fertilized by political expediency. This is followed by the objective tendencies of the world process, which require radical changes in education in the context of exponential technologies. The vast majority of domestic and foreign scientists say that the current education system does not meet the requirements of the time. They are criticized and modeled on a new image that is more relevant to the current socio-cultural situation.
Transfer generative adversarial network for multimodal CT image super-resolution (Conference Presentation)

Multimodal computed tomography (CT) scans, including non-contrast CT (NCCT), CT Perfusion (CTP), and CT Angiography (CTA) are widely used in acute stroke diagnosis and treatment planning. While each imaging modality is for different visualization purposes such as anatomical structures and functional information, image quality is obtained variously. In this work, we aim at enhancing the image quality for all modalities by using deep learning technology. Through our experiments, we demonstrate that by using transfer learning and generative adversarial network, NCCT images are beneficial for CTP image reconstruction, and CTP images are helpful for CTA image quality enhancement.
Node Copying for Protection Against Graph Neural Network Topology Attacks

Adversarial attacks can affect the performance of existing deep learning models. With the increased interest in graph based machine learning techniques, there have been investigations which suggest that these models are also vulnerable to attacks. In particular, corruptions of the graph topology can degrade the performance of graph based learning algorithms severely. This is due to the fact that the prediction capability of these algorithms relies mostly on the similarity structure imposed by the graph connectivity. Therefore, detecting the location of the corruption and correcting the induced errors becomes crucial. There has been some recent work which tackles the detection problem, however these methods do not address the effect of the attack on the downstream learning task. In this work, we propose an algorithm that uses node copying to mitigate the degradation in classification that is caused by adversarial attacks. The proposed methodology is applied only after the model for the downstream task is trained and the added computation cost scales well for large graphs. Experimental results show the effectiveness of our approach for several real world datasets.
Application of a Stochastic-Fuzzy Approach to Modeling Optimal Discrete Time Dynamical Systems by Using Large Scale Data Processing

In the paper the proposed dynamical model of the system is defined by fuzzy states and a transitionfunction. The transition function is represented by conditional probabilities of respective fuzzy events. Thecriteria of optimization, as well as constraints, constitute fuzzy sets. The dynamical model has a form of astochastic-fuzzy knowledge base, where the rules and weights of rules have been built by using large-scale datasets.
OBU Library: Online Library Services: LibChat

This guide provides information regarding the library's remote services such as links to online resources and research assistance tools.
UPAYA MENINGKATKAN AKTIVITAS BELAJAR SISWA MELALUI METODE DEMONSTRASI PADA SD NEGERI 42 MANDAU

This research is motivated by student activities that are still low so the purpose of this study is an effort to increase student activity in learning. One of the actions taken by the researcher is through the demonstration method. This research is a classroom action research conducted on grade I students of SDN 42 Mandau with a total of 23 students. Data were collected using an observation sheet to observe teacher actions and student activities. The results showed that the demonstration method can increase the learning activities of 42 Mandau elementary school students with a percentage of teacher action by 56% and 59% of student activities included in the sufficient category in the first cycle. Then an increase in the second cycle with the percentage of teacher action by 79% and 80% of student activities belonging to either category.
Self-referenced interferometric method for SLM phase calibration based on two blazed gratings (Conference Presentation)

We propose a self-reference interferometric method for phase calibration of spatial light modulator (SLM) based on two blazed gratings. Compared with traditional methods, the proposed method yields more stable results by generating fringes with lower spatial frequency, thus making it possible for accurate, low cost measurement of the phase modulation of an SLM.
ROLE OF SENTIMENT ANALYSIS USING DEEP LEARNING

Sentiment Analysis is a recent topic in the area of Natural Language Processing. Sentiment Analysis analyses the problem of forums, discussions, likes, comments, reviews uploaded on micro blogging platforms regarding about the views that they have an idea about a person, product, or event. This paper identifies the role of sentiment analysis with deep learning to classify the polarity of given information or the expressed view is positive, negative or neutral. Deep Learning is the up-to-date term in the area of machine learning. Machine Learning is a process to construct intelligent systems. Deep Learning is a method to utilize machine learning. The main goal of this paper is to find out the recent updates that relate to text classification of sentiment analysis. Sentiment Analysis is implemented in different approaches of deep level representation and also to find out the approach that generate output with high accurate results.
PENERAPAN METODE SQ3R UNTUK MENINGKATKAN KETERAMPILAN MEMBACA PEMAHAMAN SISWA KELAS IV A SD N KOTAGEDE 3 YOGYAKARTA

This research aims at improving the reading comprehension skill using SQ3R method on fourth grade of Kotagede 3 Elementary School. The type of this research was collaborative classroom action research. The subjects in this research were 32 fourth grade students of Kotagede 3 Elementary School. The design used Kemmis dan Mc. Taggarts’s. the data collection in this research was through the test and observation. The analysis data used in this reseach were quantitative descriptive and qualitative descriptive. The research shows that the SQ3R method can improve the reading comprehension skill of fourth grade students at Kotagede 3 Elementary School. It can be seen from the improvement of learning process and the improvement of the reading comprehension test results. The result of the test shows that the pretest average score is 62,6% with student’s pretest completeness percentage is 15,6% increases to 68,78 with completeness precentage 59,4% in the end of cycle I. the students’ average score in cycle II is 76,8 with completeness percentage 100%.Keywords: reading comprehension skills, SQ3R method, elementary school
THE EFFECT OF USING SMALL - GROUP WORK TECHNIQUE ON THE STUDENTS ACHIEVEMENT IN READING COMPREHENSION AT SMP MUHAMMADIYAH 06 MEDAN

This study deals with the effect of using small-group work ( sgw) technique on Student’s Reading Comprehension. The objective of the study is to find out whether the use of SGW learning has a significant effect on students reading comprehension. In carrying out this study. The research took 82 students of SMP MUHAMMADIYAH 06 MEDAN as the sample of the study. It was divided into two groups. The first group ( Experimental Group) which contain was taught by using SGW. Which contain of 43 students was taught by using conventional method. The result shows that the students were taught by using SGW were higher that the students taught by other text. Value were got is 149,8>0.05. it means that SGW has applied to the students in teaching reading gave significant effect. Keywords: small group work, reading comprehension, descriptive text
A Conceptual model of Decision Support System for UAE Government Agencies

The paper outlines the conceptual framework of Decision Support System (DSS) for better performance of UAE government agencies. This research identified three different factors namely existing factors, new potential factors and alternative factors. The existing factors are system quality and data quality. These two factors are integrated with new potential factors which is support quality and problem match. Time and organization size are identified as alternative factor to improve the performance of UAE government agencies. The DSS will be used to aid the UAE government agencies in providing better service to public and provide within government agencies with the information on how to manage corporate governance practices.
LibGuides: Working Remotely: Off-Campus Access

MCW Libraries will continue to provide high quality services and resources where ever you may be.
Application and Research of User Portrait in Digital Library

The library service system based on user portraits, through the personalization of knowledge services, and the utilization of library information resources and user experience. The article discusses the research status of user portraits in the field of libraries at home and abroad, and elaborates on three aspects: necessity, feasibility and model construction. Drawing on the development experience of user portraits in the field of e-commerce and foreign libraries, this paper proposes building a model of user profiling in domestic library application.