Reviewerly/exHarmony huggingface dataset:
현대몽골어와 한국어의 의문문 대조 연구

Interrogative sentences in modern Mongolian appear through interrogative words (асуух төлөөний уг), interrogative particles (асуух сул уг) and intonation (аялга), and out of these, interrogative words and interrogative particles are the most prevalent. Meanwhile, Korean interrogative sentences generally appear through interrogative words, interrogative word endings (sentence-closing ending) and intonation. While Mongolian and Korean are both SOV languages, whereas Mongolian expresses questions by connecting interrogative particles to the end of sentences (declarative sentences), Korean uses various interrogative sentence-closing endings in the place of interrogative particles. That is, interrogative sentence-closing endings are used instead of declarative sentence-closing endings for changes (conjugations) in the verb endings. In this aspect, the interrogative sentences in the two languages show fundamental differences.While the interrogative sentences in modern Mongolian have different interrogative particles at the end of the sentences based on whether there are interrogative words in the interrogative sentence, this is not the case in Korean. This is because the interrogative sentences in Korean are formed through the changes (conjugations) in the verb endings at the end of the sentence regardless of whether there are interrogative words. In addition, in the case of Korean interrogative sentences, interrogative sentences are realized through changes in the verb endings based on the level of honorifics. Therefore, Mongolian students who study Korean have difficulties in properly understanding and learning the levels of interrogative endings in verbs in the honorific system based on the relationship between the speaker and the listener.In both modern Mongolian and Korean, it is possible to make a sentence (declarative sentence) into an interrogative sentence by rising the intonation in the situations where there are no interrogative words or interrogative particles (in the case of Mongolian), or there are no changes in the verb ending (in the case of Korean) that make an interrogative sentence. This can be considered as a similar point of the two languages. In addition, there are no ways to make an interrogative sentence by changing the position of the predicate (change in word order).In both modern Mongolian and Korean, it is impossible to understand the various possible meanings of sentences with ambiguity simply through sentence form or syntactic structure form. It is necessary to consider the various semantic and pragmatic elements including the intonation and tone of the speaker, changes in word order, surrounding environment, situation of the conversation, preceding and following context and conversational context. There should be proper understanding of the meanings from both languages to select and use the appropriate response forms.
Can questions summarize a corpus? Using question generation for characterizing COVID-19 research

What are the latent questions on some textual data? In this work, we investigate using question generation models for exploring a collection of documents. Our method, dubbed corpus2question, consists of applying a pre-trained question generation model over a corpus and aggregating the resulting questions by frequency and time. This technique is an alternative to methods such as topic modelling and word cloud for summarizing large amounts of textual data. Results show that applying corpus2question on a corpus of scientific articles related to COVID-19 yields relevant questions about the topic. The most frequent questions are what is covid 19 and what is the treatment for covid. Among the 1000 most frequent questions are what is the threshold for herd immunity and what is the role of ace2 in viral entry. We show that the proposed method generated similar questions for 13 of the 27 expert-made questions from the CovidQA question answering dataset. The code to reproduce our experiments and the generated questions are available at: this https URL
Trust Evaluation Mechanism for User Recruitment in Network Crowd-Sensing

In step with the researches finished until date millions of students graduate every yr. The problem of consumer recruitment with accept as true with is a big problem. Automatic consumer Recruitment machine is a product which can be exceptional ideal for any agency’s recruitment procedure. The device could be strong enough for you to automatically extract the resume content and keep it in a shape form inside the Database. Class algorithm (Naive Bayes) will be run at the profiles to perceive profile classes or lessons. Also the company can specify his criteria and also decide the importance level. Because the internet grows, amount of electronic text increases swiftly. This brings the benefit of attaining the records sources in a reasonably-priced and quick way. Textual content mining is useful method as they deliver the shortest precis of the document. But they're not often protected in the texts. There are proposed methods for automated keyword extraction. This machine additionally introduces such a method, which identifies the keywords with their frequencies and positions in the schooling set. It uses Naive Bayesian Classifier with supervised getting to know for filtering the large amount of information. An automatic consumer Recruitment system using text mining & classification approach can deal with this hassle.
Extensions of the kernel method of test score equating

This thesis makes contributions within the area of test score equating and specifically kernel equating. The first paper of this thesis studies the estimation of the test score distributions needed ...
PENINGKATAN HASIL BELAJAR SISWA MELALUI METODE INKUIRI PADA TEMA TOKOH DAN PENEMUAN

The research is motivated by the low student learning outcomes on the theme of Figure and Discovery. The research aims to improve student learning outcomes by using the inquiry method in class VI MIS Emplak Pangandaran Regency. The research method used was Classroom Action Research. The study was conducted in two cycles. Each cycle includes the stages of planning, implementation of actions, observation and reflection. The research subjects were all students of class VI MIS Empal Pangandaran Regency in the first semester of 2019/2020 Academic Year totaling 19 students. The results showed: (1) There was an increase in students' enthusiasm and attention towards the material delivered by the teacher, namely 37% in the first cycle and 79% in the second cycle. (2) There was an increase in student activity, namely 43.5% in the first cycle and 75% in the second cycle. (3) An increase in student learning outcomes is in the first cycle of 66.4% and the second cycle of 73.35%. The results showed an increase in student learning outcomes through the method of inquiry on the theme of the characters and findings on the 1st learning in class VI students of MIS Emplak Pangandaran Regency in the academic year 2019/2019.
CURIE: A Cellular Automaton for Concept Drift Detection

Data stream mining extracts information from large quantities of data flowing fast and continuously (data streams). They are usually affected by changes in the data distribution, giving rise to a phenomenon referred to as concept drift. Thus, learning models must detect and adapt to such changes, so as to exhibit a good predictive performance after a drift has occurred. In this regard, the development of effective drift detection algorithms becomes a key factor in data stream mining. In this work we propose CU RIE, a drift detector relying on cellular automata. Specifically, in CU RIE the distribution of the data stream is represented in the grid of a cellular automata, whose neighborhood rule can then be utilized to detect possible distribution changes over the stream. Computer simulations are presented and discussed to show that CU RIE, when hybridized with other base learners, renders a competitive behavior in terms of detection metrics and classification accuracy. CU RIE is compared with well-established drift detectors over synthetic datasets with varying drift characteristics.
Research Guides: Foundations of Science Research Guide: Searching the Libraries

A guide to using the Columbia University Libraries for students in the Frontiers of Science course.
The Factors Which Influence Financial Accountability of Schools in Medan Tuntungan

The objective of the research was to analyze the influence of financial statement accountability of schools in Medan Tuntungan Subdistrict. The research used descriptive causal method. Primary data ware gathered by conducting a survey by distributing questionnaires to the principals and school treasurers as the respondents and analyzed by using multiple linear regression analysis. The population was 76 schools in Medan Tuntungan Subdistrict. The result of the research showed that transparency in organizing the schools, standard of performance, and people’s participation partially had positive and significant influence on financial accountability of schools. It was also found that transparency in organizing the schools, standard of performance, and people’s participation simultaneously had positive and significant influence on financial accountability of schools. The predicting capacity of the three variables toward financial accountability of schools in Medan Tuntungan Subdistrict was 65.7%, while the remaining 34,3% was explained the others variables excluded from the research.
Commands 4 Autonomous Vehicles (C4AV) Workshop Summary

The task of visual grounding requires locating the most relevant region or object in an image, given a natural language query. So far, progress on this task was mostly measured on curated datasets, which are not always representative of human spoken language. In this work, we deviate from recent, popular task settings and consider the problem under an autonomous vehicle scenario. In particular, we consider a situation where passengers can give free-form natural language commands to a vehicle which can be associated with an object in the street scene. To stimulate research on this topic, we have organized the \emph{Commands for Autonomous Vehicles} (C4AV) challenge based on the recent \emph{Talk2Car} dataset (URL: this https URL). This paper presents the results of the challenge. First, we compare the used benchmark against existing datasets for visual grounding. Second, we identify the aspects that render top-performing models successful, and relate them to existing state-of-the-art models for visual grounding, in addition to detecting potential failure cases by evaluating on carefully selected subsets. Finally, we discuss several possibilities for future work.
LibGuides: New Science & Math Books: Science - General and Interdisciplinary

A selection of new and recently donated books in the science and main libraries, including mathematics.
Developing a digital learning environment as a condition of digital citizenship

espanolEl proposito del siguiente articulo es abordar el tema de la educacion civica en la cultura digital. En paises con un pequeno volumen de iniciativas locales de educacion en medios, es esencial analizar la evolucion de la cultura de la comunicacion. Este analisis de la cultura de comunicacion indica la necesidad de un nuevo contrato social para la universidad que se encuentre dentro del alcance de la logica del consumidor. Los resultados indican que la interaccion social efectiva dentro y fuera de la universidad es posible a traves de la profunda influencia de los nuevos medios en las practicas educativas y la vida cotidiana. EnglishThe purpose of the following article is to address the issue of civic education in digital culture. In countries with a small volume of local media education initiatives, analyzing evolving communication culture is essential. This communication culture analysis indicates the need for a new social contract for the university that falls within the scope of consumer logic. The results indicate that effective social interaction, within and outside the university, is possible through the profound influence of new media on educational practices and daily life.
Nilai Pendidikan Dalam Novel Kabola Karya Dony Kleden: Tinjauan Sosiologi Sastra

The Objective of this research is to desribe the Education Values in novel Kabola by Dony Kleden: based on the Review of Literary Sociology. Kind of research that used in this research is qualitative descriptive. Data collection technique in this research is library study techniques. Data analysis technique in this research are: collecting, selecting, analysing, and delivering the result of the research. The results, known that there are education values that really benefits. Those education values are religion, social, aesthetic, tolerance, hard work, creative, independent, curiosity, honesty, love peace, friendship, responsibility which ic described based on the review of literary sociology.Keywords: Education Values, Review of Literary Sociology, Novel.
A superlinguistics of hyperlink ‘pointing’

We present a ‘superlinguistic’ analysis of hyperlinks, building on parallels with cospeech pointing gestures. We show that one is able to give acceptability judgments for hyperlink placement and use, allowing us to define a precise syntax and semantics of hyperlinks. We show that these patterns interact with core linguistic systems, including constituent structure, semantic type, veridicality, and information structure.
CORRUPTION: A GRABBING-HAND OR A HELPING-HAND FOR FOREIGN DIRECT INVESTMENT: EVIDENCE FROM EAST AFRICAN COUNTRIES

FDI is an integral part of globalization and global economy that generates employment, enhance technological and product development, and ultimately economic development and growth. Given its importance FDI is affected by various socio-economic and political factors such as corruption. But there is no conscience whether corruption plays a grabbing- hand role or a helping hand role for FDI inflow. The aim of the study is to examine the Corruption- FDI nexus in selected East African countries for the time span 1990 to 2019. The panel ARDL model was applied using the PMG estimation technique. Based on the PMG estimation results the short run and long run relationships between FDI inflow and its determinants was analysed. The main findings showed that in long run COC positively and significantly (1%) influence FDI inflow in East African countries during the period 1990-2019. The other control variables that affect FDI inflow are INFR and TO. In the long run, INFR and TO positively and statistically significantly (1% and 5%, respectively) influence FDI inflow. Other variables such as MS and INFL have no significant impact on FDI inflow in long run. In the short run, COC, MS, INFR, INFL and TO are irrelevant to FDI inflow. Policy makers, investment bureaus, and other stake holders should work more on control of corruption (COC) to enhance the flow of FDI. Potential research can be conducted by considering other policy and investment variables using most recent data for more African countries. Keyword: Corruption, FDI, panel ARDL JEL Classification: C33, P45, E61 CITATION: Mengistu, N. L. (2020). Corruption: A grabbing-hand or a helping-hand for foreign direct investment: Evidence from East African countries. The Strategic Journal of Business &amp; Change Management , 7(3), 1544 – 1554.
“LUCRATIVE AND HIDDEN”: FACTORS INFLUENCING CYBERCRIME INVOLVEMENT AMONG YOUTH IN METROPOLITAN LAGOS

Increasing access to the Internet. Although there have been studies on cybercrime, studies from within the subculture have remained mostly unexplored. This study, therefore, examined factors responsible for youth involvement in cybercrime. The study adopted diffusion of innovation and space transition theories. The study design was exploratory involving the use of qualitative methods of data collection. Four localities with a preponderance of cybercrime in Lagos State were purposively selected: Surulere, Ikotun, Badagry and Bariga. Ten In-depth Interviews and two case study were employed to collect data from youth involved in cybercrime that were chosen through guided referral in each locality. Through participant observation, youth involved in cybercrime were interacted with repeatedly over four years. Data were also collected from secondary sources such as EFCC and police records and periodicals. The data collected were content analysed. Access to the Internet and peer influence were the significant factors affecting youth involvement in cybercrime. However, other factors are economic, social, and psychological. Youth involved in cybercrime has been encouraged by the complexity and sophistication of the Internet. Therefore, stiffer regulations are necessities for adequate control of the virtual environment among others.
Het Atlantis van de Middelnederlandse ridderepiek : Een schatting van het tekstverlies met methodes uit de ecodiversiteit

It is well known that the study of historical literature is impeded by the incom- plete transmission of sources: due to a century-long loss of sources, inevitably, a large number of texts is no longer known to us. As such, our current perspective on the literary diversity of the past is probably underestimating the actual wealth of texts that once existed. Statistical methods from eco-diversity can assist us in adjusting this esti- mate in a quantitative and precise manner. Applied to Middle Dutch chivalric epics, these methods suggest that prior estimates of text loss may be too conservative: the methods estimate that up to half of the original texts have been lost (and possibly many more).
New bins installed to protect City’s marine environment

New bins located at popular fishing spots in Quinns Rocks and Mindarie aim to reduce the amount of waste entering our oceans.
Subject Guides: Welcome to Special Collections: Home

A guide to visiting the Special Collections department at the University of Iowa Libraries.
Niederreiter cryptosystems using quasi-cyclic codes that resist quantum Fourier sampling

<p style='text-indent:20px;'>McEliece and Niederreiter cryptosystems are robust and versatile cryptosystems. These cryptosystems work with many linear error-correcting codes. They are popular these days because they can be quantum-secure. In this paper, we study the Niederreiter cryptosystem using non-binary quasi-cyclic codes. We prove, if these quasi-cyclic codes satisfy certain conditions, the corresponding Niederreiter cryptosystem is resistant to the hidden subgroup problem using weak quantum Fourier sampling. Though our work uses the weak Fourier sampling, we argue that its conclusions should remain valid for the strong Fourier sampling as well.
관객 참여를 기반에 둔 큐레토리얼 실천 : 2012 부산비엔날레 《배움의 정원》을 중심으로

This study analyzes, through the qualitative research method of ethnography, the 2012 Busan Biennale Garden of Learning, which put audience participation at the forefront of the exhibition production process. Based on participant observation and in-depth interviews to uncover the exhibition’s production process, we scrutinize the roles of the Learning Council, the exhibition’s audience participatory group which closely collaborated with the exhibition director. The Learning Council agonized over the exhibition’s direction and display methods, intervened in the artists’ production process, and planned and implemented education programs through months of preparation leading up to the exhibition’s opening. We thus affirm that the Learning Council played the critical role as a co-creator of the exhibition production process. Audience participation as demonstrated in Garden of Learning did not stop at a superficial slogan or concept; it was indeed a curatorial practice that marshaled the public to create and share stories of ‘now’ through ‘here’.
Quantum Enhancement of Optical Measurements using Four-wave Mixing in Rb vapor

Using four-wave mixing in hot Rb vapor, we demonstrate the production of two-mode intensity squeezing between beams with significantly different optical angular momenta and an all-optical polarization-based truncated SU(1,1) interferometer for alloptical quantum-enhanced imaging and sensing.
LibGuides: Writing and Illustrating Children's Books: Home

A comprehensive guide to get you started in your process of writing and illustrating a children's book.
EXPLORING ENGLISH TEACHERS’ PERCEPTIONS ON USING SITUATIONAL LANGUAGE TEACHING METHOD IN TEACHING VOCABULARY

The research was accomplished to investigate the perceptions of elemantary- school teachers on using Situational Language Teaching method in teaching vocabulary. The aims of this study were to examine the advantages of using situational language teaching method in teaching vocabularies and to investigate English teachers’challenges of using Situational Language Teaching method in teaching vocabulary. This research was completed by using a qualitative approach and the reseachers employed a semi-structured inteview to collect the data. The research participants were five English teachers who teach English subject at elementary schools in Aceh Barat. The results of this research indicate that the advantages of using this method were enhancing students’ motivation ,and creating an effective teaching-learning process. Then, the challenges of using Situational Language Teaching methods in teaching vocabulary were preparing course material and dealing with students’ boredom.
Three Studies in Uneven Meters

Author(s): Ivanova, Vera | Abstract: This music score was submitted for the Kaleidoscope 2020 Call for Scores, an open access collaboration with the UCLA Music Library.
Preschool Education is a Preliminary Factor in the Development of the Social Sector

The article is argue that an innovative method of teaching students in a competency-based approach based on the understanding of yesterday-today-tomorrow in the field of education in the preparation of future teachers for work in preschool organizations (PES). based on practical experiences.
IMPLEMENTASI METODE BACKWARD CHAINING PADA APLIKASI PENENTUAN GANGGUAN SLEEPING DISORDER

Sleep is very important for humans because sleep determines the rhythm of everyday life. Sleep quality with enough time will help to restore energy and improve the quality of human life. However, if there is sleep disturbance and lack of sleep, enthusiasm and energy will decrease. Every human being spends a quarter to a third of the entire world. The similarity of symptoms that exist in sleep disorders makes doctors and psychology inhibited in diagnosing types of sleep disorders. The era of information technology (IT) helps human work by giving birth to supporting technology to simplify work by giving birth to systems to solve a problem. Computers easily present knowledge that illustrates how an expert approaches a problem, called an expert system. Expert system for diagnosing sleeping disorder type using Backward Chaining method was chosen on the grounds that this system can adopt human knowledge to computers. So that the computer can solve problems like those of hali. With the Backward Chaining method, this application can find the type of sleeping disorder easily, quickly, precisely and efficiently. The results showed that there were 9 types of sleeping disorder consisting of insomnia, transient insomnia, short-term insomnia, chronic insomnia, narcolepsy, hypersomnia, parasomnia, sleep apnea, and sleep paralysis. The application of an expert system with the Backward Chaining method is able to diagnose all types of sleeping disorder properly based on the symptoms complained of by the patient so that the patient can quickly and accurately find out the type of sleeping disorder suffered. This application is for the future to be able to further enrich the complexity of symptoms in order to provide more complex analysis information.