Reviewerly/exHarmony huggingface dataset:
Spoken word corpus and dictionary definition for an African language

The preservation of languages is critical to maintaining and strengthening the cultures and identities of communities, and this is especially true for under-resourced languages with a predominantly oral culture. Most African languages have a relatively short literary past, and as such the task of dictionary making cannot rely on textual corpora as has been the standard practice in lexicography. This paper emphasizes the significance of the spoken word and the oral tradition as repositories of vocabulary, and argues that spoken word corpora greatly outweigh the value of printed texts for lexicography. We describe a methodology for creating a digital dialectal dictionary for the Igbo language from such a spoken word corpus. We also highlight the language technology tools and resources that have been created to support the transcription of thousands of hours of Igbo speech and the subsequent compilation of these transcriptions into an XML-encoded textual corpus of Igbo dialects. The methodology described in this paper can serve as a blueprint that can be adopted for other under-resourced languages that have predominantly oral cultures.
Watching the Phoenix. To the Anniversary of the Academician Vitalyi V. Naumkin

Russian researcher, diplomat, and
LibGuides: Virtual Library Guide: Trial Resources

This guide provides information on the Lewis Library's response to the coronavirus (COVID-19) outbreak, including updates to our hours of operation, online access to library resources and services, and other helpful links.  Here is a listing of temporary databases and resources available
Violin and Small Orchestra

Author(s): Clark, Alex | Abstract: This music score was submitted for the Kaleidoscope 2020 Call for Scores, an open access collaboration with the UCLA Music Library.
AN EXPERIMENTAL REVIEW ON EFFECT OF PRINCIPAL COMPONENT ANALYSIS ON MACHINE LEARNING TECHNIQUES

Nowadays, huge amount of data is generating all around the world due to enhancements in the digital technology.Artificial Intelligent systems analyze the data, extract some useful hidden structures and create models for classification or regression of future data.Machine Learning is a subset of Artificial Intelligence, which is capable to design of intelligent models based on historical relationships or trends inside data.Data Mining and Machine Learning techniques playing very crucial role in analysis and management of huge profusion of data.Principal Component Analysis (PCA) reduces the complexity of data analysis by transforming the components as linear uncorrelated components, decreasing dimensions of data without effecting the accuracy of the model.This paper presents an experimental comparative analysis on the effect of PCA in 24 different machine learning models.Considered 24 Machine Learning techniques are implemented and trained with standard and multivariate Fisher's Iris data set.This dataset has 150 samples of three species of Iris (setosa, virginica and versicolor) and each sample has four features (lengths and the widths of the sepals and petals).A comparative analysis is made in terms of clustering accuracies and learning times at different levels of PCA.
Jaringan Syaraf Tiruan Pengaruh Infuse Pada Berat Badan Pria dengan Menggunakan Metode Backpropagation

Artificial Neural Network or in short ANN, is a computational system where architecture and operations are inspired by knowledge of biological nerve cells in the brain, which is one of the artificial representations of the human brain that always tries to stimulate the learning process in the human brain. Infusion or also called intravenous infusion is a fluid that works to increase body fluids. Infusion fluid also functions to maintain normal body functions and provide adequate calorie intake, especially for male patients who are recovering and after surgery. In this study, implementing a backpropagation neural network method to study existing data in order to prove the presence or absence of the influence of the infusion on male body weight. The input used is an effect that occurs after the use of infusion, then represented by using the backpropagation algorithm
Computational phenotyping and clinical natural language processing

Heretofore this book has considered targeted questions for which data had already been extracted and the features made explicit. In this chapter, we will consider a different type of data engineering task which is extremely common in real-world, applied settings. Through a discussion of computational phenotyping and a relevant subset of clinical natural language processing techniques, we will discuss approaches to defining patient populations and implementing searches for relevant patients from the sort of “raw” medical record data that exists in clinical record systems. This chapter thus occupies a critical gap between understanding how data are represented in medial record systems and data warehouses and how data points are examined and refined into useful models. This gap is the question of how a general problem is initially probed, how patients and their relevant information are found, and how this may be used to feed many of the other modeling approaches we have discussed.
Correction to: Virtual, Augmented and Mixed Reality. Industrial and Everyday Life Applications

The original version of this chapter 2 was revised. A video was added to help provide clarity and a visual explanation of the paper. The title of the originally published chapter 27 contained a typo. The title was corrected.
A Comparison of Chinese and Korean EFL Learners’ Self-directed Learning Readiness

From the beginning of the 21st century, the cultivation and improvement of college students'' English autonomous learning ability has become an important symbol of deepening college English teaching reform. The research in this field has payed more and more attention from the academic circle and foreign language teachers. Based on the opportunity of studying in South Korea, the author has made some surveys on English autonomous learning among college students in China and South Korea. Through comparison, we found that there were obvious differences between Chinese and Korean college students in English autonomous learning. This paper analyzes the reasons of the differences between the two countries'' students in independent learning of English and puts forward some countermeasures. Although autonomous learning of English is the trend of college English teaching, there are still many aspects to be improved for Chinese students.
LibGuides: Document Delivery Services : Free Online Resources: Websites/Resources

Document Delivery Service (DDS) is a service for KAUST students, faculty and staff to request full-text articles and book chapters (maximum 3 chapters) not available in the Library sources.
RANCANG BANGUN SISTEM INFORMASI KEARSIPAN PADA BAGIAN KEARSIPAN DAN DOKUMENTASI MAHKAMAH AGUNG RI

The Indonesian Supreme Court Archives and Documentation Sub-Section requires an information system that supports and provides satisfactory services for archivists, because the current system is still operated conventionally and has not been computerized. The Supreme Court of the Republic of Indonesia as a judicial institution that applies a modern judicial body, currently records management is still using the manual method, namely by using paper. This can cause several problems including corrupted or lost archive data and spending a lot of time in the process of collecting new records. The best solution is to design a web-based archiving information system using the waterfall method, using several web-based application processing software. Hopefully this is the Supreme Court Archives and Documentation Sub Division of the Republic of Indonesia Supreme Court that is easier to collect data on archives and prevent lost or damaged data. Archive staff also benefit from this system because it will reduce the time to find the required records.
LibGuides: Child Development: Images and Video

An interdisciplinary guide for child and adolescent development, school psychology, and education research needs.
Improving the Quality of Drive System using Adaptive Fuzzy Controller Method

This article studies gear transmission. This is one of the most common actuators in a range of machines. For problems requiring high accuracy with the assumption that it is impossible to accurately measure friction torque, elastic deformation, torque on the driveshaft and the gap between gears, one must use additional The same mechanical solutions are electronic and electronic controllers so that it is easy to set up adjustment control methods to compensate for the number of deviations that mechanical devices cannot solve. The paper presents a new control method to improve the quality of gear transmission by a fuzzy adaptive controller. Simulation results on Matlab-Simulink software have shownthe effectiveness of the proposed method.
WEBSITE AND MOBILE APPLICATION FOR AUTOMOBILE SERVICE CENTER

People always wish to live a comforting life without any physical work.Internet being the backbone of all the technologies, which provides a very robust infrastructure for any web based software.The Website and Mobile Application for Vehicle Service Center is a step forward in the field of service centers.The purpose of this project is to automate the overall process for the owner of the garage, mechanic and the user by finding out the various factors responsible for affecting servicing and maintenance process of automobiles for all in order speed up time required for it.Here, we provide the project paper on 'Design Website and Mobile Application for Vehicle Service Center'.Any Vehicle user can make use of such app to communicate with the particular service centre for which the service is provided.These are two applications an android app and website which can be used by the any automobile user according to their ease.Idea behind the proposed system is to provide as much as service to the owner of the service centre as possible.This system will provide services to the owner to monitor overall flow of the service centre like transaction of spare part, money etc.Only when user registers with necessary details, we are building this as user friendliness, in formativeness and time saving.
IMPROVING STUDENTSâ€™ READING COMPREHENSION BY USING GUESSING MEANING FROM CONTEXT

The researchers had found that learning reading are (1) investigating whether there was a significant difference of studentsâ€™ reading comprehension achievement before and after being taught by using Guessing Meaning from Context strategy, (2) findingout in terms of strategies for Guessing Meaning from Context which strategies produced better achievement by the students.The researchers carried out quantitative study with one group Pre-test Post-test Design, involving one class as experimental class. The instrument in this research was reading test. The data analysis showed there was a significant difference on studentsâ€™ reading comprehension achievement after being taught by using Guessing Meaning from Context strategy. Then, surrounding words, pictures, experience, and imagination as the strategiesincreased the most than the otherstrategies. Hypothesis test showed that the significance value (2- tailed) was 0.000 (p&lt;0.05). It could be concluded that null-hypothesis was rejected. So, the result of the research inferred Guessing Meaning from Context to be able to improve the studentsâ€™ reading comprehension in all aspects.Â Keywords: guessing meaning from context, improving, reading skill.Â
Human Face Reaction Recognition with Attention Mechanism using CNN

Face expression recognition is a challenging task because of various unconstrained reactions that the users may experience. Although existing framework have been practically flawless on investigating compelled frontal faces, they neglect to perform when some piece of appearances is blocked or covered up. So, considering that, we have proposed a convolution neutral network (CNN) along with attention mechanism (ACNN) that can focus on the most discriminative un-occluded regions on the face and it can address the issue that occurred in the existing system. ACNN automatically detects or perceives the hidden facial patches and pays attention only to the unblocked and patches that could be informative. The ACNN can concentrate on unmistakable just as unhindered districts in facial picture. Considering unique facial features, we propose an alternative version of ACNN called pACNN that crops patches from the last convolution feature maps. In our project we have made 16 patches each of size 4*4 from the convolution feature maps. For every detected patch, PG-Unit calculate weight of the given patch. The proposed ACNN is to be trained on both types of occlusions real and synthetic.
IMPROVEMENT OF DIDACTIC METHODS USED IN SCIENCE DOMAIN

One problem of modern didactics is related to application of proper scientific and efficient pedagogical methods.The didactic methods should be permanently adapted to the new generation background. In the designing process asreference point should be considered the attractiveness of the proposed technique, but without neglecting the desiredoutputs considered. One of the newest teaching and learning perspective suppose multidisciplinary and interdisciplinaryapproach of the teaching-learning process.Classical teaching methods are principally based on teacher exposure and students individual study. Due togeneration mentality changes and the inconveniences presented by the standard didactics the techniques described in thepresent paper are based on cooperation and discovery. The students are encouraged to actively participate in the learningprocess. This approach contributes to improvement of cognitive and critical thinking. This focuses on testing andevaluating possible solutions in specific situation, followed by choosing the optimal solution based on the arguments.These represent important attributes to future specialist in science domain.
Learn to Personalized Image Search from the Photo Sharing Websites

Increasingly developed social sharing websites, like Flickr and Youtube, allow users to create, share, annotate and comment medias.The large-scale usergenerated meta-data not only facilitate users in sharing and organizing multimedia content, but provide useful information to improve media retrieval and management.Personalized search serves as one of such examples where the web search experience is improved by generating the returned list according to the modified user search intents.In this paper, we exploit the social annotations and propose a novel framework simultaneously considering the user and query relevance to learn to personalized image search.The basic premise is to embed the user preference and query-related search intent into user-specific topic spaces.Since the users' original annotation is too sparse for topic modeling, we need to enrich users' annotation pool before user-specific topic spaces construction.The proposed framework contains two components: 1) A Ranking based Multi-correlation Tensor Factorization model is proposed to perform annotation prediction, which is considered as users' potential annotations for the images; 2) We introduce User-specific Topic Modeling to map the query relevance and user preference into the same user-specific topic space.For performance evaluation, two resources involved with users' social activities are employed.Experiments on a large-scale Flickr dataset demonstrate the effectiveness of the proposed method.
Novel obstacle-avoiding path planning for crop protection UAV using optimized Dubins curve

In recent years, the crop protection unmanned aerial vehicle (UAV) has been raised great attention around the world due to the advantages of more efficient operation and lower requirement of special landing airport. However, there are few researches on obstacle-avoiding path planning for crop protection UAV. In this study, an improved Dubins curve algorithm was proposed for path planning with multiple obstacle constraints. First, according to the flight parameters of UAV and the types of obstacles in the field, the obstacle circle model and the small obstacle model were established. Second, after selecting the appropriate Dubins curve to generate the obstacle-avoiding path for multiple obstacles, the genetic algorithm (GA) was used to search the optimal obstacle-avoiding path. Third, for turning in the path planning, a strategy considering the size of the spray width and the UAV’s minimum turning radius was presented, which could decrease the speed change times. The results showed that the proposed algorithm can decrease the area of overlap and skip to 205.1%, while the path length increased by only 1.6% in comparison with the traditional Dubins obstacle-avoiding algorithm under the same conditions. With the increase of obstacle radius, the area of overlap and skip reduced effectively with no significant increase in path length. Therefore, the algorithm can efficiently improve the validity of path planning with multiple obstacle constraints and ensure the safety of flight.Keywords: Dubins curve, path planning, genetic algorithm, overlap and skip spray, crop protection UAVDOI: 10.25165/j.ijabe.20201304.3205Citation: Zhang X H, Fan C G, Cao Z Y, Fang J L, Jia Y J. Novel obstacle-avoiding path planning for crop protection UAV using optimized Dubins curve. Int J Agric & Biol Eng, 2020; 13(4): 172–177.
WAVELETS FOR SELF-CALIBRATED BUNDLE BLOCK ADJUSTMENT

Abstract. This paper entails a methodological novelty and builds upon prior research on a wavelets-based model for digital camera self-calibration. We introduce a new kernel function based on the compactly supported orthogonal third-order asymmetric Daubechies wavelet to correct systematic image distortion errors. Tests are done by using aerial images taken with a high-resolution metric digital aerial mapping camera. The quality of experimental results is evaluated by using reliable and high precision ground check points in the calibration field. For example, a four-fold block with this wavelet self-calibration model has the external accuracy of about 0.28 GSD (=ground sampling distance) in the horizontal direction, and about 0.43 GSD in the vertical direction, respectively, where 1GSD ≈ 4.6cm. The posterior standard deviations σ̂0 of unit weight are reduced from 0.37 pixel to 0.27 pixel. The residual vector lengths are also significantly reduced after our wavelet additional parameters are used. Experimental results support the proposal and demonstrate the applicability of this new model.
L’insegnamento della cortesia come elemento della competenza comunicativa nei manuali d’italiano LS: sfide e soluzioni

The aim of this paper is to address the issue of teaching politeness in textbooks dedicated to learners of Italian as a foreign language. It is assumed that in today’s ever-changing world, full of conflicts and challenges of various kinds, polite communication has become of increasing importance as it helps overcome differences between the participants of the act of communication and promote a peaceful coexistence. Politeness is a phenomenon particularly sensitive to the situational context: the forms considered appropriate vary according to the parameters such as place, channel, age or status of the interactants. Since the complexity of politeness and the variability of its exponents make it difficult to teach, the purpose of this research is to analyze if and how the current textbooks of Italian deal with this aspect of communicative competence. The paper examines which aspects of politeness are taught and with what methods. The analysis is based on the selected textbooks of Italian published in Italy and Poland, in order to compare their approaches.
The Tectonics and Metallogenesis of Asia(Tianfeng Wan)

Book Review| August 01, 2020 The Tectonics and Metallogenesis of Asia(Tianfeng Wan) Richard J. Goldfarb Richard J. Goldfarb Goldfarb Global Gold Boulder, Colorado, USA July 11, 2020 Search for other works by this author on: GSW Google Scholar Economic Geology (2020) 115 (5): 1151–1152. https://doi.org/10.5382/econgeo.115.5.br01 Article history first online: 06 Aug 2020 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Tools Icon Tools Get Permissions Search Site Citation Richard J. Goldfarb; The Tectonics and Metallogenesis of Asia(Tianfeng Wan). Economic Geology 2020;; 115 (5): 1151–1152. doi: https://doi.org/10.5382/econgeo.115.5.br01 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu nav search search input Search input auto suggest search filter All ContentBy SocietyEconomic Geology Search Advanced Search The Tectonics and Metallogenesis of Asia. Tianfeng Wan. 2020. Springer. 319 Pp. eBook ISBN 978-981-15-3032-6. Hardcover ISBN 978-981-15-3031-9. €155.99. This is an ambitious volume that attempts to review the tectonic provinces of Asia, their geological history, and their metallogeny. The preface notes that the economic geology aspects of the volume are based on collected information from “242 giant or supergiant ore deposits, fields and provinces in Asia.” The book is divided into three parts of roughly equal length—tectonic domains, tectonic evolution, and tectono-metallogenesis. The six domains include eastern Russian or “Siberian plate,” central Asia/Mongolia, North China-Tarim block, South China block,... You do not currently have access to this article.
Online Topic Detection and Tracking System and Its Application on Stock Market in China

Financial markets are very sensitive to emerging news related to stock because investors need to continuously monitor financial events when deciding buying and selling stocks. Tracking important events has done mostly using rule-based methods in the past, which is time-consuming in the face of huge online news data. To track this issue, in this paper, a novel document embedding technology based on TF-IDF and BERT incorporating online text cluster algorithm to form an automated event detection system is proposed. Embedding technology is first used to encode text to vectors and then an online text cluster algorithm - SinglePass is implemented to accomplish topic tracking. Experiment results show that the proposed algorithms can effectively detect and track online topics. In addition, both domestic and international events such as the outbreak of novel coronavirus (COVID-19) and Sino-U.S. trade war and their impact on capital market in China are analyzed, which demonstrate the practical and economic value of proposed system.
PEMBELAJARAN MENULIS TEKS EKSPOSISI MELALUI THINK TALK WRITE (TTW) PADA SISWA KELAS VIII

The enactment of the 2013 curriculum requires the active role of students in producing various types of texts, including exposition texts. The lack of students' ability to express their thoughts makes it difficult for students to produce exposition texts. This research focuses on two problems, namely: (1) how is the implementation of learning to write exposition text through Think Talk Write (TTW) in class VIII students? (2) what is the ability of Grade VIII students in writing exposition text through TTW? The research aims to describe: (1) the implementation of learning to write exposition text through TTW in class VIII students, (2) the ability of class VIII students in writing exposition text through TTW. Qualitative descriptive methods are used in research and utilize interviews, observations, and tests as research techniques. The research results show that (1) the implementation of TTW used by teachers has been carried out in accordance with the syntax of the learning model, namely by applying the think, talk, and write stages. (2) Students' writing ability is classified into good criteria with a percentage of 74%.