Reviewerly/exHarmony huggingface dataset:
The Effect of Picture Storybook on Students’ Vocabulary and Motivation in Writing Narrative Text

The objectives of this study are to investigate the effect of picture storybook on students’ vocabulary and students’ motivation in responding the media of picture storybook. The research methodology was quasiexperimental design. The subject of this study was the students of class VIII A and VII B in SMPN 01 Doro, Pekalongan in the Academy Year 2019/2020. The sample was two classes consisting of 30 students both of experiment and control clas. I used learning media of picture storybook and textbook in control class. The data in this study were collected through pre-test, post-test and questionnaire. From the data analysis, it was obtained that sig. value (2-tailed) of 0,000 <0.05, it means that Ho is accepted because of the Sig. higher than  . that there are differences in the average of student learning outcomes for the pre-test experimental class with the experimental class post-test which gained a significant increase as much 19.16 that was from 54.16 to 72.83. Based on the questionnaire students are motivated learning using picture storybooks at it can improve their English vocabulary (73.8%). As a final remark, it is expected that by using picture storybook in learning vocabulary could improve students’ vocabulary mastery and learning motivation. Keywords: Vocabulary, motivation, picture storybook
Registers Iceland : form portal

The application is constructed for Registers Iceland (i. Þjoðskra islands) and is a web-based form portal that works as a central place for all forms created by the system’s administrators on the website. Users can fill out the forms which are then delivered by the form portal, streamlining the entire process for both senders and receivers of any form. The goal of the project was to create a solution for the staff of Registers Iceland which makes it easier to submit requests, reports and etc.
#endsars shows why the police is not ‘your friend’

The Nigerian police’s motto, The Police is Your Friend, intends to remap perceptions of state violence at the fore of the youth-led #EndSARS protests. While highlighting the transformative potential of social media, protesters also brought into focus the ways in which the Nigerian postcolonial state abuses citizens and estranges them through acts of violence. But if not a friend, is the state an enemy or a stranger?
LibGuides: Videos for HBU Students- Online or On Campus: Databases Videos by Vendors

This guide was created to hold the new video to assist HBU Students as they navigate Moody Library Databases and other resources Online.
And then you are left holding the baby! : Strategic manoeuvring with the argumentum ad consequentiam

In argumentative discourse fallacies occur regularly, but often they seem not to be noticed by the participants. In spite of the fact that people generally denounce this fallacy when confronted with clear case, this also goes for the fallacy known as the argumentum ad consequentiam. In explaining this paradox it is argued in this paper that certain types of argumentum ad consequentiam are modes of strategic manoeuvring which take on a reasonable appearance by mimicking legitimate pragmatic argumentation or reductio ad absurdum argumentation. In an experiment we tested the following hypothesis: fallacious argumentum ad consequentiam argumentation is regarded less unreasonable when it is presented in this way as reasonable pragmatic argumentation.
A Model for Communication in Information Technology Classes

A model for communication in information technology classes and the technology for its creation is presented. The applications of the model when using a webinar in class, as well as using a real contests and competitions to present a created product are shown.
How good MVSNets are at depth fusion

We study the effects of the additional input to deep multi-view stereo methods in the form of low-quality sensor depth. We modify two state-of-the-art deep multi-view stereo methods for using with the input depth. We show that the additional input depth may improve the quality of deep multi-view stereo.
Annotating verbal MWEs in Irish for the PARSEME Shared Task 1.2

This paper describes the creation of two Irish corpora (labelled and unlabelled) for verbal MWEsfor inclusion in the PARSEME Shared Task 1.2 on automatic identification of verbal MWEs, andthe process of developing verbal MWE categories for Irish. A qualitative analysis on the twocorpora is presented, along with discussion of Irish verbal MWEs.
Relationship Between The Characteristics Of The Wound And The Event Of Patient Infection

The results of observations at RSUD H. Andi Sultan Daeng Radja carried out observations on all types of wounds that entered the emergency room with each wound characteristic observed, namely the location of the wound, the shape of the wound, the size of the wound, the depth of the wound, and the wound edge. Research Objectives To determine the relationship between wound characteristics and infection incidence in RSUD H. Andi Sulthan Daeng Radja, Bulukumba Regency. The research design is quantitative research. This study used a cross-sectional design. The sample size is 14 people. Results Based on the Fisher exact test, the value of p = 0.005 (&lt;α = 0.05) was obtained, which means that there is a significant relationship between the location of the wound and the incidence of infection. Kolmogorov Smirnov test results obtained p-value = 0.016 (&lt;α = 0.05), which means that there is a significant relationship between the shape of the wound and the incidence of infection. Kolmogorov Smirnov test results obtained p-value = 0.010 (&lt;α = 0.05), which means that there is a significant relationship between wound size and the incidence of infection. Kolmogorov Smirnov test results obtained p-value = 0.002 (&lt;α = 0.05), which means that there is a significant relationship between wound depth and the incidence of infection. The Kolmogorov Smirnov test results obtained p-value = 0.267 (&gt; α = 0.05), which means that there is no significant relationship between the wound edges and the incidence of infection. Conclusion and suggestion that there is a significant relationship between the location, shape, size, and depth of the wound and the incidence of infection. It is hoped that there will be further research with a larger number of samples with in-depth studies.
수 환경 분야에서의 딥러닝 모델 적용사례

Deep learning models, which imitate the function of human brain, have drawn attention from many engineering fields (mechanical, agricultural, and computer engineering etc). The major advantages of deep learning in engineering fields can be summarized by objects detection, classification, and time-series prediction. As well, it has been applied into environmental science and engineering fields. Here, we compiled our previous attempts to apply deep learning models in water-environment field and presented the future opportunities.
Power of deep learning: Quantifying language to explain cross-sectional returns

When quantifying qualitative information from unstructured textual data, traditional bag-of-words approaches capture only semantic features of single words/phrases. The context, the sequence of words, and the relations among words (i.e., higher-order interaction features) are ignored. We introduce deep neural networks (NNs) to encode and mimic human intelligence in processing natural language. Using the NN-based artificial intelligence, we construct a new sentiment measure that is specific to performance discussions and is adjusted for complex contextual negations. We find that this performance-specific sentiment explains cross-sectional returns and future operating performance better than umbrella sentiment proxies used in the literature.
Hubungan Antara Efikasi Diri Dan Berpikir Positif Dengan Kecemasan Berbicara Di Depan Umum Pada Mahasiswa Fakultas Psikologi Universitas Muhammadiyah Surakarta

Skills or the ability to speak in public is very important for someone because it will be useful to improve public speaking and develop soft skills possessed, but not everyone has this skill, if someone does not have these skills then when speaking in front of the crowd will have difficulty and can cause public speaking anxiety. The purpose of this research is to find out whether there is a relationship between self-efficacy and positive thinking with public speaking anxiety. The population in this study were students of the Faculty of Psychology UMS class of 2019 with a sample of 84 students. Determination of the sample using random sampling techniques. The method in this study uses a quantitative approach, with public speaking anxiety as the dependent variable (Y) and self-efficacy (X1) and positive thinking (X2) as the independent variable. Data collection in this study is that the subjects filled out the public speaking anxiety anxiety questionnaire with reliability α = 0.879, self-efficacy scale α = 0.946 and positive thinking scale α = 0.940. Data analysis techniques using multiple regression analysis that has met the tests of normality and linearity. The results of the analysis for minor hypotheses are seen from the Pearson correlation value (r) for public speaking anxiety and self-efficacy are (r) = -0,635 and Sig (1-tailed) <0.001 which shows a very significant negative relationship and the results of the correlation between variable anxiety public speaking and positive thinking are (r) = -0.741 and Sig (1-tailed) <0.001 which indicates a very significant negative relationship. The major hypothesis can be seen from the ANOVA table that is F 50.238 with a df value of 81 and Sig <0.001 which shows a very significant relationship, it can be concluded that the proposed hypothesis is accepted. The effective contribution of self-efficacy variables and positive thinking in influencing public speaking anxiety can be seen from the R Square section summary table model in this study the results are 55.4% with self-efficacy details of 7.6% and positive thinking variables of 47.8 % then the remaining 44.6% is influenced by other variables.
Multi-module Spatial Semantic Network for Semantic Segmentation

In this work, we present an efficient method for semantic segmentation. In our method, a new network is introduced which consists of multiple modules to extract various features. Firstly, multi-scale spatial information is preserved in a spatial module with small stride and a pyramid pooling unit. Secondly, different level feature maps of backbone network are combined to extract multiple level semantic features. Finally, semantic features are further enhanced in the context module, in which various scales contextual information is integrated to facilitate complex scene understanding. We show competitive performance on two segmentation databases, including the CamVid and the Cityscapes dataset. The experimental results demonstrate that the proposed segmentation method can yield state-of-the-art segmentation accuracy. Contribution-We develop a multi-module network to implement semantic segmentation.
A Study on the Effect of Customer Integration and Market Orientation on the Uncertainty and Flexibility of Supply Chain and Management

The purpose of this study was to analyze structural relationships with regard to the effect of customer integration, which is a type of integration in the supply chain, and market orientation of supply chain on the resulting change in the supply chain and management performance. The results of analysis in this study are as follows: First, customer integration and market orientation had a positive effect on reducing the flexibility and uncertainty of SCM. The decreased flexibility and uncertainty of SCM had a positive effect on non-financial performance, which also had a positive effect on financial performance. Second, customer integration and market orientation had a positive effect on financial and non-financial performance indirectly by decreasing the flexibility and uncertainty of SCM. Third, the effect of customer integration and uncertainty of SCM on the flexibility of SCM changed depending on the position in the supply chain; the effect was larger in the distribution group. The implications based on the analysis results are as follows: It is expected that the ability to deal with market changes in the overall supply chain is improved by laying the foundation for cooperation through establishing information infrastructure, including sharing information with trade partners and integrating systems, and implementing customer integration based on these achievements. It is also necessary to consider the business types and characteristics of individual companies in establishing information infrastructure.
Subject Guides: Submitting Electronic Theses and Dissertations (ETDs): ETD Submission Powerpoint Presentation

This guide provides guidance for American University students who are required to submit their theses or dissertations electronically. IMPORTANT NOTE: links to AU's official ETD Submission and Style Guide and templates are located under the HOME tab below
CollFrEn: Rich Bilingual English–French Collocation Resource

Collocations in the sense of idiosyncratic lexical co-occurrences of two syntactically bound words traditionally pose a challenge to language learners and many Natural Language Processing (NLP) applications alike. Reliable ground truth (i.e., ideally manually compiled) resources are thus of high value. We present a manually compiled bilingual English–French collocation resource with 7,480 collocations in English and 6,733 in French. Each collocation is enriched with information that facilitates its downstream exploitation in NLP tasks such as machine translation, word sense disambiguation, natural language generation, relation classification, and so forth. Our proposed enrichment covers: the semantic category of the collocation (its lexical function), its vector space representation (for each individual word as well as their joint collocation embedding), a subcategorization pattern of both its elements, as well as their corresponding BabelNet id, and finally, indices of their occurrences in large scale reference corpora.
PENGETAHUAN DAN KESIAPSIAGAAN MASYARAKAT MISKIN DALAM MENGHADAPI BANJIR ROB DI KECAMATAN PENJARINGAN JAKARTA UTARA

Climate change has resulted in rising sea levels that could lead to floods in coastal areas. This has an impact on the people living in the area. Factors affecting the vulnerability of communities in the face of disasters include poverty, education level, knowledge, awareness, and availability of easily accessible information. Poor socially vulnerable societies and living in coastal areas make it even more vulnerable to frequent robust flood threats. For that the poor must have knowledge and preparedness in the face of rob flood in its territory. This research is a qualitative research with case study approach aimed at analyzing the knowledge of the poor about rob flood and poor people's preparedness in the face of rob flood. The research location is located in Kecamatan Penjaringan, North Jakarta with the participants selected through purposive sampling technique. Techniques of collecting data using interviews, observations, and study documents that are then analyzed thematically according to the code that has been determined. The results show that poor people's knowledge about rob floods is still low as their knowledge has not yet led to the safety (safe culture) habit of dealing with robot floods, their knowledge is based solely on experience during their stay in areas affected by rob floods and often experience them, as well as poor people's preparedness in the face of floods, rob is still low, the poor have not been empowered or involved in programs or activities related to disaster preparedness. The poor need to improve their knowledge capacity through education, training, socialization, and simulations that can be done alone or with government support.
Errata to “State Estimation Methods in Navigation: Overview and Application”

In the above-named work [ibid., vol. 35, no. 12, pp. 16–31, Dec 1, 2020], the affiliation for the author Sanat K. Biswas was incorrectly listed. The affiliation for this author should be Indraprastha Institute of Information Technology, Delhi 110020, India.
VMWE discovery: a comparative analysis between Literature and Twitter Corpora

We evaluate manually five lexical association measurements as regards the discovery of Modern Greek verb multiword expressions with two or more lexicalised components usingmwetoolkit3 (Ramisch et al., 2010). We use Twitter corpora and compare our findings with previous work on fiction corpora. The results of LL, MLE and T-score were found to overlap significantly in both the fiction and the Twitter corpora, while the results of PMI and Dice do not.We find that MWEs with two lexicalised components are more frequent in Twitter than in fiction corpora and that lean syntactic patterns help retrieve them more efficiently than richer ones.Our work (i) supports the enrichment of the lexicographical database for Modern Greek MWEs’ IDION’ (Markantonatou et al., 2019) and (ii) highlights aspects of the usage of five association measurements on specific text genres for best MWE discovery results.
Creating a dynamic and responsive curriculum

This chapter aims to partner schools, their intent around the development of curriculum and the practical ways in which it is implemented by individual teachers and their impact. It aims to support teachers and students in implementing a dynamic, responsive curriculum that represents the children in their class. In planning for a dynamic and relevant curriculum it is essential to continuously evaluate the purpose of each piece of teaching that will be adopted and implemented from the wider curriculum plan. In order for the creation of a dynamic and relevant curriculum to be implemented successfully by teachers, the role of the leadership team in the school is critical. The significance of local and global current affairs is also important when creating a dynamic curriculum that is relevant and inspiring for children. And it attempts, not only to create bridges between worlds, but to support children's own naming and manipulating of the dynamic relationships among worlds.
Research Guides: OER - Open Educational Resources: Find OER

Your guide to making course materials more affordable for our students! Use this page to help you locate open resources for your courses.
Distributed Machine Learning Framework: New Algorithms and Theoretical Foundation

Machine learning is gaining fresh momentum, and has helped us to enhance not only many industrial and professional processes but also our everyday living. The recent success of machine learning relies heavily on the surge of big data, big models, and big computing. However, inefficient algorithms restrict the applications of machine learning to big data mining tasks. In terms of big data, serious concerns, such as communication overhead and data privacy, should be rigorously addressed when we train models using large amounts of data located on multiple devices. In terms of the big model, it is still an underexplored research area if a model is too big to train on a single device. To address these challenging problems, this thesis is focusing on designing new large-scale machine learning models, efficiently optimizing and training methods for big data mining, and studying new discoveries in both theory and applications. For the challenges raised by big data, we proposed several new asynchronous distributed stochastic gradient descent or coordinate descent methods for efficiently solving convex and non-convex problems. We also designed new large-batch training methods for deep learning models to reduce the computation time significantly with better generalization performance. For the challenges raised by the big model, We scaled up the deep learning models by parallelizing the layer-wise computations with a theoretical guarantee, which is the first algorithm breaking the lock of backpropagation such that the large model can be dramatically accelerated.
The Role of Voter Education in Combating Hate Speech and Electoral Violence in Nigeria

The paper examined the role of voter education in combating hate speech and electoral violence in Nigeria.Hate speech and electoral violence have been serious issues in Nigeria in recent time, they have caused many problems to the level of growth and development of Nigeria.There is no doubt in saying the development and culture of men affected by hate speech and electoral violence in Nigeria.Hence, this paper extensively discussed the concept of electoral violence and hate speech, forms, and causes of hate speech and electoral violence as well as the effects of hate speech and electoral violence.The paper concluded that the only mechanism in curbing hate speech and electoral violence which seed has eaten deep in the life of the electorates is voter education.To this end, the paper suggested among others that the government should create massive sensitization through voter education to prevent the menace of hate speeches in the country.
ANALYTICAL MODELING AND OPTIMIZATION OF THE EDUCATIONAL PROCESS OF THE UNIVERSITY

The problems of the quality of higher education are constantly discussed at different levels, but so far no precise recipes for a radical change in the situation have been developed. Constantly changing standards, dictated by the trend of the times and changes in the requirements of the labor market, only exacerbate this situation. As they say, if you constantly loosen the ground, nothing will sprout on it. However, the rapid obsolescence of knowledge, the need for timely and effective changes in the educational process to meet the requirements of the market and the employer, the displacement of outdated professions by new ones, weak basic training (in most cases) of school graduates require different approaches to optimizing the educational process in universities. The key problems of the educational process in universities lie in its different understanding by teachers, students, heads of basic educational programs (OEP) and the employer. The student and the employer understand (or should understand) that relevant knowledge is needed that meets the requirements of the current market, which can constantly change, and in this case, the educational process must be quickly rebuilt. Teachers and leaders of OOP offer for study the material that they themselves own, regardless of whether there is a need for this knowledge (sometimes very outdated) among students who are later expected by the employer. One of the approaches that can make it possible to effectively optimize the educational process depending on the changing realities of time and the market is the project approach, which, according to the authors, must be laid as the basis for the design of the educational process at the university. The article simulates the educational process of the university in order to identify the factors that determine its effectiveness and the possibility of following these factors. The ways of optimization (reengineering) of this process, increasing its adaptability to the requirements of the labor market are proposed.