Reviewerly/exHarmony huggingface dataset:
영어 동사 Begin, Start, Continue, Cease의 비정형 보충절 사용에 관한 연구

The aim of this study is to examine the usage patterns of the non-finite complement clauses of four aspectualizers(or aspectualizing verbs), such as begin, start, continue, and cease. The data is from the British National Corpus Web(BNCweb). The study is concerned with the verbs of the pairs of the non-finite complement clauses and investigates the semantic properties of the verbs. The results are follows; firstly, the aspectualizers, begin, continue, and cease co-occur absolutely with to-infinitive, whereas the aspectualize start co-occur a little more with gerund as their complements than with to-infinitive. Secondly, the verbs taking the infinitival complements mostly tend to represent stativity shown in verbs such as change of state, cognitive and emotion verbs. As well, they are cognitive verbs and emotion verbs. On the contrary, the verbs taking the gerundive complements are action verbs, especially representing the movement of entity and creating new entities. This study is hoping to shed new light on the semantics of the infinitival and gerundive complements and thereby contributes to the semantically motivated nature of the distribution of the complements.
Why Do Employment Policies Fail to Reduce Unemployment in Sub-Saharan Africa? Looking towards the brain drain

This paper aims to determine the effect of employment policies on unemployment in Sub-Saharan Africa, controlling for the brain drain. The Generalized Method Moment (GMM) is used to assess the direct and joint impact of employment policies and brain drain on unemployment, over the period from 1990 to 2010, on a sample of 17 Sub-Saharan (SSA) countries. The results show that, separately, employment policies and brain significantly contribute to reducing the level of unemployment with a more pronounced effect. Conversely, the study finds that the interaction between employment policies and the brain drain positively impacts the level of unemployment. Thus, policy-makers in SSA should consider reducing the brain drain so that employment policies can fully play their role in reducing unemployment.
SISTEM PEMBELAJARAN MENGGUNAKAN TEKNOLOGI INFORMASI DAN KOMUNIKASI DALAM BIDANG PENDIDIKAN (E-education)

The current development of information and communication technology provides various communication facilities for exchanging information so that place, time and distance are no longer an obstacle in solving various affairs. The rapid development of information and communication technology cannot be separated from the development of computer engineering tools. Advances in computer science and information technology today also have a very positive impact on the field of education in learning. The most influential application in the field of computer technology and information technology in an education sector is the use of computer network devices and the internet. With the internet, all information services on educational targets are not limited to space, place, time and distance. Through internet network services, information can be provided as a learning resource, this learning medium that can be studied according to the needs and speed of learning of students and the learning process. This learning media is not limited to letters or images but all can be combined with various things such as graphics, animation, video, audio together so that this learning media is better known as a multimedia. The positive influence of the use of an internet for education in building education must be able to keep up with developments in science and technology (IPTEK). Applications include the world of industrial companies so that alumni are able to meet the demands of competency abilities. Based on these facts, one way to be able to keep up with the development of Technology Science (IPTEK) is always updating and all of this can be obtained through internet media. However, in its implementation, there are still many needs to support facilities and infrastructure, managers and users of information. In addition, great motivation rose from teachers to be able to control and optimize the use of ICT for teaching and learning in the classroom.
Meningkatkan Minat dan Hasil Belajar Siswa Melalui Media E-Book Berekstensi Epub Di MTs. Al-Amin Silo

Based on the results of observations in the 8th Class of MTs. Al-Amin in science learning shows that teachers always use textbook as the main learning media. The selection of unvaried media makes the students’ interest in learning science low causes the low learning outcomes, as evidenced by the data about 80% shows that the value of students was ≤70 still below the minimum completeness criteria. This study aims to improve students’ learning outcomes and interests through EPUB extension of E-Book media. The type of research used is classroom action research (CAR). Based on the results of the study, students’ learning outcomes in the first cycle was 69 and it had increased to 76 in the second cycle. Students' interest was obtained by 61% in the first cycle and there was an increase to 79% in the second cycle. Thus, it can be concluded that there is an improvement in students’ interest and learning outcomes in the application of E-book media with EPUB extensions to the material of Motion and Living Beings.Keywords : learning outcomes, e-book, EPUB.
Identification of Online Public Shaming Using Machine Learning Framework

Social Media Platforms involve not millions but billions of users around the globe. Interactions on these easily available social media sites like Twitter have a huge impact on people. Nowadays, there is undesirable negative impact for daily life. These hugely used major platforms of communication have now become a great source of dispersing unwanted data and irrelevant information, Twitter being one of the most extravagant social media platform in our times, the topmost popular microblogging services is now used as a weapon to share unethical, unreasonable amount of opinions, media. In this proposed work the dishonouring comments, tweets towards people are categorized into 9 types. The tweets are further classifies into one of these types or non-shaming tweets towards people. Observation says out of the multitude of taking an interested clients who posts remarks on a specific occasion, lions share are probably going to modify the person in question. Moreover, it is not the nonshaming devotee who checks the increment quicker but of shaming in twitter.
PHUBBING OF STUDENTS IN “Y” UNIVERSITY

Phubbing is a short word from cellphone and snubbing where phubbing has theattitude of ignoring the other person using a smartphone. Phubbingis an abbreviation forphone and snubbing where phubbingshows the attitude of hurting the other personusing a smartphone. This research aims to describe phubbing at Y students. Theresearch subjects used in this study were 40 students in“Y” university. This selectedwith a purposive sampling technique. Analysis of the data used is using descriptivestatistical analysis with the help of SPSS 23 for Windows. The results of this researchindicate r = 0.320, from 30 items around 25 items are valid and 5 item is fall. Scorevalidation ranging from 0.356 to 0.899 and reliabilitywith a value of 0.712. It can beconcluded that phubbingof students in “Y’university are the quite high category.
고등학생의 코로나 19 예방행위와 영향요인 연구

Objectives: This study aimed to analyze the degree of COVID-19 prevention behavior and to identify its affecting factors among high school students. The participants were 135 students from two high schools located in J city. Methods: Data were collected from July 20 to 27, 2020 using self-reported questionnaires. The data were analyzed using descriptive statistics: t-test, ANOVA, and multiple regression analysis using IBM SPSS 25.0. Results: The subjects got a mean of 2.89 in COVID-19 prevention behavior (range 1-4). The factors that affected the COVID-19 prevention behavior revealed grade (β=-.352, p<.001), gender (β=-.374, p<.001), subjective health status (β=.186, p=.040), perceived susceptibility (β=.182, p=.038), and self-efficacy (β=-.172, p=.030). These factors explained 38.3% of the variance in COVID-19 prevention behavior. Conclusions: The results indicated that high school students have not taken enough COVID-19 prevention behavior. Therefore, it is necessary to develop intervention strategies to improve the practice of COVID-19 prevention behavior among high school students, including subjective health status, perceived susceptibility, and self-efficacy.
Data Warehouse Penerapan Metode Nine-Step Kimball Dalam Implementasi Data Warehouse Perpustakaan Dengan Pemodelan Star Schema: Penerapan Metode Nine-Step Kimball Dalam Implementasi Data Warehouse Perpustakaan Dengan Pemodelan Star Schema

The PCR library is a facility for the academic community to look for books that are used as references to support the teaching and learning to process. There are many business processes that occur in the library, such as borrowing books, returning books, procuring books and others. The PCR library has a website-based information system that stores library data, including book collection data, borrowing data and returning books and library visitor data. At present the data is only stored and has not been utilized to help develop the library. By using multidimensional data warehouse modeling, library data currently available can produce information such as borrower patterns, and distribution of visitor data, which can be utilized to improve services in the library. This research was built by applying the kimball nine-step method to facilitate the construction of the data warehouse. The modeling applied is star schema. This scheme is a scheme that is easy to understand than other schemes. The results of this study are to produce 2 dashboards that visualize borrowing data and library visitors in a graphical form that displays lending patterns and visitors to the PCR library.
A New Notion of Individually Fair Clustering: $α$-Equitable $k$-Center

Clustering is a fundamental problem in unsupervised machine learning, and fair variants of it have recently received significant attention. In this work we introduce a novel definition of fairness for clustering problems. Specifically, in our model each point $j$ has a set of other points $\mathcal{S}_j$ that it perceives as similar to itself, and it feels that it is fairly treated, if the quality of service it receives in the solution is $\alpha$-close to that of the points in $\mathcal{S}_j$. We begin our study by answering questions regarding the structure of the problem, namely for what values of $\alpha$ the problem is well-defined, and what the behavior of the Price of Fairness (PoF) for it is. For the well-defined region of $\alpha$, we provide efficient and easily implementable approximation algorithms for the $k$-center objective, which in certain cases also enjoy bounded PoF guarantees. We finally complement our analysis by an extensive suite of experiments that validates the effectiveness of our theoretical results.
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Government’s Role in Advancing Innovation

The paper examines the way that policy of governmental intervention can promote innovation and achieve a leading role in global markets. Innovation is a major driver of economic development and what drives competition in modern age, allowing nations a competitive position through investments in technology. The nature of innovation changed significantly in the last decades, and it is today based on technological advancement and openness to global developments. As the world is changing, competition between countries accelerates, and the role of governments in technology development is critical. The paper argues that the most significant role in innovation is provided by governments, which need to create new markets rather than just supervise them. Israel is a leader in innovation, providing the perfect example for the success of governmental policy to encourages innovation. The country is known as the “Start-up Nation”, which means that its economic growth is linked to technology and innovation. This policy promotes innovation by the government, which is deeply involved in the market and dictates the scope of technological advancement.
An Analytical Study of Search Engine Optimization (SEO) Techniques: To Maximize Number of Travelers on an E-Content Material Website

Web index is the most conspicuous device to extricate data from web (www). It is an enormous dispersed computerized data. The idea of data recovery frameworks is to just get the contribution from client as keywords, process it at that point contrasted and the database and the data is given to the client. search motor enhancement is the procedure which is utilized to expand the significance of the pages which are most much of the time visited which the client happen upon regularly. This article presents and talks about the idea of search motor advancement, highlights of web index and diagram of components and devices utilized in web crawler advancement. In website streamlining there are chiefly two fundamental calculations utilized page rank and Hypertext Initiated Topic Search(HITS). In page rank calculation, joins associated with different pages and sites are given more significance and weightage while in the HITS calculation question based hunt is performed.
A Novel Construction of Perfect Strict Avalanche Criterion S-box using Simple Irreducible Polynomials

An irreducible polynomial is one of the main components in building an S-box with an algebraic technique approach. The selection of the precise irreducible polynomial will determine the quality of the S-box produced. One method for determining good S-box quality is strict avalanche criterion will be perfect if it has a value of 0.5. Unfortunately, in previous studies, the strict avalanche criterion value of the S-box produced still did not reach perfect value. In this paper, we will discuss S-box construction using selected irreducible polynomials. This selection is based on the number of elements of the least amount of irreducible polynomials that make it easier to construct S-box construction. There are 17 irreducible polynomials that meet these criteria. The strict avalanche criterion test results show that the irreducible polynomial p17(x) =x8 + x7 + x6 + x + 1 is the best with a perfect SAC value of 0.5. One indicator that a robust S-box is an ideal strict avalanche criterion value of 0.5
LibGuides: Adult Summer Reading 2021: Home

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pysentimiento: A Python Toolkit for Sentiment Analysis and SocialNLP tasks.

Extracting opinions from texts has gathered a lot of interest in the last years, as we are experiencing an unprecedented volume of user-generated content in social networks and other places. A problem that social researchers find in using opinion mining tools is that they are usually behind commercial APIs and unavailable for other languages than English. To address these issues, we present pysentimiento, a multilingual Python toolkit for Sentiment Analysis and other Social NLP tasks. This open-source library brings state-of-the-art models for Spanish and English in a black-box fashion, allowing researchers to easily access these techniques.
FEATURES OF THE FUTURE OF TUTORING FOR THE TEACHER OF CHEMISTRY IN INCLUSIVE EDUCATION

Inclusive education–ensuring equal access to education for all learners,taking into account the diversity of special educational needs and individual opportunities. People with disabilities need to acquire the fundamental knowledge that enables survival in society under the specific demands caused by functional limitations that hinder participation in ordinary education systems. The system of inclusive education represents the system of inclusive education which includes disabled children, in the general education and social adaptation, irrespective of their floor, origin, religion or the status, for elimination of barriers to their children, special support for needs of the state, that is quality of the general education which is focused on effective state policy. Thus, on the basis of inclusive education it is provided to all disabled children equal opportunities and also a deep comprehension of special needs of children with special needs.
Some Practical Challenges with Possible Solutions for Machine Learning in Medical Imaging

This chapter highlights three challenges that are frequently met with when devising a machine learning (ML) solution for medical imaging/computer-aided diagnosis problems: (1) Dependency on the size of the training dataset, (2) class imbalance, and (3) controlling the confidence of the ML model easily. We propose employing state-of-the-art deep learning techniques with some novel ideas that we have employed in the last 3 years to tackle the aforementioned problems. To reduce reliance on training data, we employ transfer learning. To solve for class imbalance, we employ a novel loss function based on focal loss. Finally, we show the application of Bayesian learning to devise a framework to easily control the confidence of an ML framework through easily tunable parameters. The three different solutions are demonstrated through three case studies with extensive experimental results, on Alzheimer’s diagnosis, lesion segmentation, and finally, breast cancer diagnosis.
STUDENTS’ SPEAKING ABILITY FOR EVERYDAY COMMUNICATION

The students’ speaking ability at second semester students of English Education Department Faculty of Education and Teachers Training Lancang Kuning University seemed that lower then what was expected by the lecturer. So, this research aimed to see scientifically how the students’ speaking ability for everyday communication is and the factors influence their speaking ability. This research has been conducted by using mix method design because the researcher wanted to figure out quantitative and qualitative data from this research. The firs research purpose was to find out the quantitative data and the second purpose was to find out qualitative data. After collecting the data by using speaking test and interview, the researcher has found the result. It is showed that the students speaking ability in everyday communication is 69 categorized into fair level. It is influenced by several factors, such as lack of vocabulary, no understanding about grammar, lack of confidence, lack of understanding about sound of word, and lack encouragement from society. So, the second semester students of English Education Department Faculty of Education and Teachers Training Lancang Kuning University should find the best strategy to develop their speaking ability.
Risk Bounds for Unsupervised Cross-Domain Mapping with IPMs

The recent empirical success of unsupervised cross-domain mapping algorithms, between two domains that share common characteristics, is not well-supported by theoretical justifications. This lacuna is especially troubling, given the clear ambiguity in such mappings. We work with adversarial training methods based on IPMs and derive a novel risk bound, which upper bounds the risk between the learned mapping $h$ and the target mapping $y$, by a sum of three terms: (i) the risk between $h$ and the most distant alternative mapping that was learned by the same cross-domain mapping algorithm, (ii) the minimal discrepancy between the target domain and the domain obtained by applying a hypothesis $h^*$ on the samples of the source domain, where $h^*$ is a hypothesis selectable by the same algorithm. The bound is directly related to Occam's razor and encourages the selection of the minimal architecture that supports a small mapping discrepancy and (iii) an approximation error term that decreases as the complexity of the class of discriminators increases and is empirically shown to be small. The bound leads to multiple algorithmic consequences, including a method for hyperparameters selection and for early stopping in cross-domain mapping GANs. We also demonstrate a novel capability for unsupervised learning of estimating confidence in the mapping of every specific sample.
Telephony Speech Enhancement Using Threshold Estimation Based Data Hiding

Public telephone system transmit speech across a limited frequency range, about 300–3400 Hz, called narrowband (NB) which results in a significant reduction of quality and intelligibility of speech. This paper proposes a fully backward compatible novel method for bandwidth extension of NB speech. The method uses threshold estimation based technique to provide a perceptually better wideband speech signal. The CELP parameters are extracted from the high frequency components of speech signal existing above NB, which are then spread by using spreading sequences, and are embedded in the NB speech signal using threshold estimation based data hiding technique. The embedded information is extracted at the receiving end to reconstruct the wideband speech signal. Theoretical and simulation analyses show that the proposed method is robust to quantization and channel noises. The log spectral distortion test clearly show that the reconstructed wideband signal gives a much better performance in terms of speech quality when compared to the conventional speech bandwidth extension methods employing data hiding..
The Correlation Between Students Grammar Mastery and Their Speaking Ability (A Correlational Study at the Eleventh Grade of MA Turus Pandeglang in Academic Year 2018/2019)

ENENG SUHAYATI. 152301770. 2019. The Correlation Between Students Grammar Mastery and Their Speaking Ability” (A Correlational Study at the Eleventh Grade of MA Turus Pandeglang in Academic Year 2018/2019)This research was to find out whether there is positive and significant correlation between grammar mastery and speaking ability at the Eleventh grade of MA Turus Pandeglang in the Academic year of 2018/2019. The sample of this Study were 38 Students. The method used in this study was quantitative method and the technique used in this study was a co-relational technique. The researcher conducted multiple choice test to the students and it is consist of 30 items. While in assessing students’ speaking ability focused on introduction. The result of rcounted is 0.563 based on the 0.005 significant level, the value of the rtabel is 0.320. The computation showed that the rcounted is higher than rtable that is 0.563>0.320. It also indicates that the correlation between students’ grammar mastery and their speaking ability is high. Based on the fact above, the hypothesis is accepted