Reviewerly/exHarmony huggingface dataset:
Study of the Modification of a Novel Text through Adjusting the Coverage of the Vocabulary: Focused on Park Tae-won’s A Day in the Life of Kubo the Novelist

This study aims to revise novel texts for intermediate-level Korean language learners through text coverage adjustment. The target text, Park Tae-won’s A Day in the Life of Kubo the Novelist is a work that illustrates the conflicts concerning the daily life, ideal, and reality seen in the eyes of a helpless intellectual in the 1930s through the process of walking and wandering and is a short story included a high frequency in high school textbooks under the 2009 revised national curriculum. This work suits the personal growth model in the literature education models by Carter and Long (1991) and can be closely connected to the experience of the learners who study abroad in unfamiliar places. Furthermore, since it is possible to peek the Korean modernization through the image of Gyeongseong during the Japanese colonial period, it can also be connected to the class of a cultural model. For the revision of the text, this study revised the text based on the result of Hwang (2017) who analyzed text coverage of short stories included in high school textbooks, expanding the vocabulary list standard of Korean Language Education Vocabulary Content Development by the National Institute of the Korean Language to Classes A-E, so that vocabularies in Classes A-C would be more than 95% of the entire text. The coverage of 95% and over was taken as the standard according to Yoon (2011) and Nation (2013) who investigated the coverage of understandable reading texts for Korean-language learners, and the text coverage of 95% becomes the threshold for successful reading performance. Hopefully, this study would prepare the base for the practical utilization of novels in the field of Korean language education, revising the text for the learners’ levels objectively and efficiently by utilizing the established corpus materials and research criteria.&#x0D;
The crab that hoaxes for a mate

If you have ever given up pursuing your crush because you think that your rival’s appearance is more good-looking and his gesture is more romantic than you, the fiddler crab can teach you a valuable lesson.
학문으로서의 신학에 있어서 기도의 중요성

This paper presents an argument for the legitimate place of theology and theological education in the university context. To support this argument, paradoxically, this article demonstrates a particularity of Christian theology by speaking of the necessity of prayer which is one of the most religious activities; this is the characteristic of this article. First, to prove this argument, this article defines theology as a science. Theology is a specifically academic science with its particular subject and object. Second, this study examines prayer as a communion with God. Prayer is essential to have a relationship with God, who is not only the object of theology but the subject. In this section, this study shows how prayer contributes to theological studies. Third, this study looks into the principles of prayer, by which theological studies can be guided in the right direction. Finally, this article argues the importance of prayer for theologians. Prayer, as a means to integrate intellect and spirituality, is an inevitable practice for theologians to proceed with the work of theology. Through prayer, theologians not only achieve a clearer understanding of God’s revelation but become able to live out with the church the time of the kingdom of God, which is distinguished from the world.
New Students on Sesame Street: What Order-Aware Matrix Embeddings Can  Learn from BERT

Large-scale pretrained language models (PreLMs) are revolutionizing natural language processing across all benchmarks. However, their sheer size is prohibitive in low-resource or large-scale applications. While common approaches reduce the size of PreLMs via same-architecture distillation or pruning, we explore distilling PreLMs into more efficient order-aware embedding models. Our results on the GLUE benchmark show that embedding-centric students, which have learned from BERT, yield scores comparable to DistilBERT on QQP and RTE, often match or exceed the scores of ELMo, and only fall behind on detecting linguistic acceptability.
Simple steps are all you need: Frank-Wolfe and generalized self-concordant functions

Generalized self-concordance is a key property present in the objective function of many important learning problems. We establish the convergence rate of a simple Frank-Wolfe variant that uses the open-loop step size strategy $\gamma_t = 2/(t+2)$, obtaining a $\mathcal{O}(1/t)$ convergence rate for this class of functions in terms of primal gap and Frank-Wolfe gap, where $t$ is the iteration count. This avoids the use of second-order information or the need to estimate local smoothness parameters of previous work. We also show improved convergence rates for various common cases, e.g., when the feasible region under consideration is uniformly convex or polyhedral.
Categorical realization of conceptually significant meaning in I.A. Ilyin’s discourse

The paper discusses the specifics of the synthetic discourse of works by I.A. Ilyin, which connects the features of philosophical, religious and aesthetic discourses. The method of linguity literal interpretation, aimed at justifying the characteristics of the functioning of language units in the discourse of the individual, is established by the originality of the interaction of philosophical, religious, political and aesthetic plans of the content in the word and text. Three options for the interaction of discourses are described: philosophical plus political, plus religious, plus aesthetic; philosophical plus religious, plus aesthetic, philosophical plus aesthetic. It is determined that in the discourse of I.A. Ilyin structural and semantic synthesis of word and text conditions implemented by the categories of personality, events, temporality, space and evaluation, asked by the philosophical mental vector, due to the interaction on the field of discourse of philosophical and religious, philosophical and aesthetic, philosophical and political conditions of content. Conceptually significant meaning is decoded by establishing the explicit and implicit methods of representation of the semantics of the word, micro and macrocontext, deterministic cohesion of the personal discourse. The proposed interpretation of the synthetic type discourse determines the discourse of the works of I.A. Ilyin as a specific communicative space, outlined by the following coordinate system: Actually thinking (philosophy), an active public position (polytick), the purpose of “seeing in the whole of God” (religion), “Justice in the subject / subject” (aesthetics).
Reasoning Visual Dialog with Sparse Graph Learning and Knowledge  Transfer

Visual dialog is a task of answering a sequence of questions grounded in an image using the previous dialog history as context. In this paper, we study how to address two fundamental challenges for this task: (1) reasoning over underlying semantic structures among dialog rounds and (2) identifying several appropriate answers to the given question. To address these challenges, we propose a Sparse Graph Learning (SGL) method to formulate visual dialog as a graph structure learning task. SGL infers inherently sparse dialog structures by incorporating binary and score edges and leveraging a new structural loss function. Next, we introduce a Knowledge Transfer (KT) method that extracts the answer predictions from the teacher model and uses them as pseudo labels. We propose KT to remedy the shortcomings of single ground-truth labels, which severely limit the ability of a model to obtain multiple reasonable answers. As a result, our proposed model significantly improves reasoning capability compared to baseline methods and outperforms the state-of-the-art approaches on the VisDial v1.0 dataset. The source code is available at https://github.com/gicheonkang/SGLKT-VisDial.
Brand protection: creating an enforcement framework for action

Effective brand protection programs should have several enforcement components. An effective enforcement strategy can form a strong foundation for anti-counterfeiting efforts and be an integral part of any total business solution. This chapter provides a guide for the design, implementation, and operation of an effective enforcement function. One of the most critical components of any enforcement function is investigations, the thorough and systematic process to gather evidence and determine the facts of an incident. Investigations should address the who, what, when, where, why, and how of an incident, and give attention to the questions of what is known, how it is known, and why it matters. Effective intelligence gathering and analysis capabilities also provide value by identifying and targeting counterfeiting operations, prioritizing investigative efforts, focusing resources on repeat or serious offenders, and helping rights holders increase their effectiveness and efficiency. Product authentication forms yet another key component of enforcement programs.
Improving the mechanisms of continuous professional development of public education workers: Analysis, problems and solutions

The article describes the current state of the system of continuous professional development for public educators, the results of the analysis and the practical results of improving the content and mechanism of the system of continuous professional development.
The Effect of Volume Fraction Variations Epoxy-Rice Straw Composite Fibers with NaOH Treatment on Tensile and Bending Strength

Rice straw waste is often a problem for farmers because of the lack of utilization until finally, only burning is done. The use of rice straw for composites aims to increase the economy and maximize the potential of rice straw waste to be more useful in the industry. This research uses epoxy sikadur 52-id mixed hardener in the ratio (2:1) as a matrix, and rice straw fiber as reinforcement, with a fiber length of 3 cm. The composition of fiber and resin uses a volume fraction of 10% fiber: 90% resin, 20% fiber: 80% resin, and 30% fiber: 70% resin. Printing using acrylic prints with a hand lay-up technique. The size of the test specimen refers to ASTM D-3039 for the tensile test and ASTM D790-03 for the bending test. The greatest tensile voltage is found in the volume fraction of 30% fiber of 25,431 MPa. The highest strain occurred in the volume fraction of 30% fiber 1.779. The largest modulus of elasticity comes from the volume fraction of 30% fiber of 1,988 GPa. In the bending test, the largest tensile voltage is found in the volume fraction of 30% fiber, which is 93.260 MPa. The highest strain occurred at a 10% fiber volume fraction of 4.721. The largest modulus of elasticity comes from the volume fraction of 30% fiber which is 3.739 GPa. In both types of testing, it was found that the volume fraction of 30% fiber had the highest tensile and bending strength.
On the Factorization of Numbers of the Form X^2+c

We study the factorization of the numbers N=X^2+c, where c is a fixed constant, and this independently of the value of gcd⁡(X,c). We prove the existence of a family of sequences with arithmetic difference (Un,Zn) generating factorizations, i.e. such that: (Un)^2+c= ZnZn+1. The different properties demonstrated allow us to establish new factorization methods by a subset of prime numbers and to define a prime sieve. An algorithm is presented on this basis and leads to empirical results which suggest a positive answer to Landau's 4th problem.
Star-crossed, Wi-Fi-enabled lovers

Over the centuries, when lovers found themselves far apart, they expressed their emotions in handwritten letters. Whether the message was eloquent or simple, the letter told the recipient the sender was thinking of them even though they were miles apart. It could be read again and again to keep the loved one &apos;alive&apos; in their memory. In the 20th century, the handwritten billet-doux has been largely replaced by emails and texts which serve the same purpose, to remind the reader someone is thinking of them.There are also tactile ways that technology in the 21st century can remind separated lovers that they are important to someone. Wearable technology fashion brand CuteCiruit introduced the haptic telecommunication HugShirt in 2002. Sensors and actuators are embedded into the long-sleeved T-shirt to allow the wearer to send and receive hugs. A hug is sent by the wearer who hugs the shirt they are wearing and the sensors send the hug&apos;s location, strength, and intensity data via Bluetooth to their phone&apos;s HugShirt app, which transmits the data to a connected shirt in which the actuators deliver the hug to the wearer. The HugShirt is created from soft and stretchable digitally printed fabric so there are no wires connecting sensors and actuators. To find the right location for the sensors and actuators, the designers used "body storming" sessions involving volunteers hugging each other for long periods to map out the popular positions of hands on bodies.
Modernization of education, facilitating mobility and ensuring the relevance of teacher qualifications

The article includes an analysis of topics of great interest regarding the concepts of international, regional and national qualifications frameworks, as well as sectorial qualifications frameworks for teacher education and training, their development and implementation trends, policies, good practices and recommendations, new roles of teachers in the 21st century and the skills that need to be developed to meet societal challenges.
Atomic quantum processors make their debut

Two research groups demonstrate quantum algorithms using neutral atoms as qubits. Tim Wogan reports.
Higher Education Reforms in Ukraine during the COVID-19 Pandemic

The outbreak of COVID in Ukraine coincided with the turbulent time of reforms in all significant social and economic spheres, including the education sector. The challenges brought by the pandemic were exacerbated by the upheavals in in the political sphere, the balance of power of national and local political actors, and the quality of governance and leadership in government. The government imposed on-and-off curfews, depending on the circumstances. Strict quarantines, adaptive quarantines, and weekend quarantines were ordered on a rotation basis. As the data show, before the pandemic most students and teachers were not adept with online technologies. Moreover, new data on spending suggest that students and employees had to bear a significant cost in relation to health protection (e.g., purchasing masks and sanitation). The current pandemic crisis is likely to exacerbate and widen preexisting inequalities in access to education and educational performance due to the uneven spread of digital technologies and the required skills to use these technologies. Nevertheless, despite the many difficulties and challenges, the educational sector in Ukraine has managed to adapt gradually to new the realities. However, the success of this sector depends on how well socio-economic reforms are implemented in Ukraine, and on whether there is peace in the region.
Public Sentiments in User Generated Content amid COVID-19 Pandemic in Ghana

Towards post COVID-19 pandemic, a natural language processing (NLP) technique was leveraged to understand the sentiments of Ghanaians through their public discourse in tweets during the lockdown period in Ghana. With NLP resources, feature words were extracted from the tweets and fed into three machine learning algorithms to track public sentiments in the tweets. The algorithms, support vector machines (SVM), na&#x00EF;ve-bayes (NB) and artificial neural network (ANN) were evaluated to ascertain their efficacies. Frequently occurring words used by Ghanaians during the lockdown period were extracted to provide more insight into public sentiments. The study revealed that negative sentiments prevailed throughout the COVID-19 lockdown among Ghanaians. However, positive sentiments were surprisingly high at some points during the lockdown period. The result of evaluating the machine learning classifier yielded SVM as the best performing classifier though the other classifiers performed beyond the acceptable threshold. With these findings, it is envisioned that this study will be adopted by policymakers, as a guide, towards public management of public sentiments in pandemics.
A Secure Electronic Commerce Transactions System using AES-Cryptography and Audio Steganography

The explosive increase in the adoption of Information Technology in electronic commerce and other facets of human life has resulted in corresponding increase in concerns for security and privacy of parties involved. The very frequent and frightening rate at which data or users’ privacy breaches occur today implies that carrying out online transactions can pose […]
Main Models of the Temporal Structure of Consciousness

The paper considers three main models of temporal consciousness proposed in grappling with the “paradox of temporal awareness”. They are based on the notion that there is a basic element of perception in the form of some “mental frame” or “apparent present” which, while effective for describing some perceptual features, does not fully reflect our phenomenal experience. It is argued that a two-level model based on the separation of the “specious present” and “current present” is best correlated with higher-order theories of consciousness and should act as a basis for further development of the temporal model of consciousness.
Kubernetes

Kubernetes is a popular container orchestration framework. It runs containers on Linux machines (virtual or physical) based on various parameters.
Modelling Skewed and Heavy-tailed Data Using a Normal Weighted Inverse Gaussian Distribution

The normal distribution is inadequate in capturing skewed and heavy-tailed behaviour of data taken over short time intervals. In addition the data can be leptokurtic. For this reason a normal weighted inverse Gaussian distribution is proposed as an alternative to the normal inverse Gaussian distribution to handle such data. The mixing distribution used in the normal variance mean mixture is a finite mixture of two special cases of Generalized Inverse Gaussian \((\textit{GIG})\) distribution. The two special cases and the finite mixture are weighted inverse Gaussian distribution. The motivation for this work is that a finite mixture is more flexible than a single/standard distribution. The \(textit{EM}\)-algorithm has been used for parameter estimation.
Hubungan Konsep Diri dan Komunikasi Interpersonal dengan Motivasi Belajar pada Siswa Sekolah Menengah Pertama

This research aims to find out the relationship of Self-Concept and Interpersonal Communication with Learning Motivation in State Junior High School Students 2 Tanjung Tiram Bara Regency, with a population of 167 students. The research sample numbered 33 students. The method used in this study is a quantitative method with sampling techniques using the Stratified Random Sampling Proportional Technique. Abstract is written briefly and factually, covering research objectives, research methods, results and conclusions. Abstracts are written in one paragraph; written in two languages (Indonesian and English); abstract lengths ranging from 150 - 200 words. Avoid referrals and unusual abbreviations. Cambria 10, with one line spacing (1) spacing. In Indonesian. The instrument used is the Likert Scale model. Data collection techniques use three scales consisting of the Self-Concept Scale, Interpersonal Communication and Learning Motivation. The analysis technique used is multiple regression. Based on the results of the study concluded that: 1) Self-concept is positively related to student learning motivation indicated by a correlation coefficient of R = 0.768. Where the contribution of variable X1 to variable Y amounted to R2 = 58.9%. 2) Interpersonal communication is positively related to student learning motivation indicated by a correlation coefficient of R = 0.584. Where the contribution of variable X2 to Y amounted to R2 = 34.1%. 3) Self-Concept and Interpersonal Communication together have a relationship to learning motivation of R = 0.783. Where the variable contribution of X1 and X2 to Y amounted to R2 = 61.3%. From these results it can be said that the higher the Self-Concept and Interpersonal Communication, the higher the motivation to learn, and vice versa the lower the Self-Concept and Interpersonal Communication, the lower the student's Learning Motivation
IMPLEMENTASI SYSTEM USABILITY SCALE UNTUK PENGEMBANGAN MODEL COMPUTER BASED TEST PADA PESANTREN NAFIDATUNNAJAH

ABSTRACT&#x0D; It has been a year since the Covid-19 pandemic has occurred in Indonesia, starting from the tourism sector, the economy, and others including education. Of course, the learning and assessment process becomes difficult to carry out, one of which is at the Nafidatunnajah Islamic Boarding School which is located on the border in Rawakalong, Gunung Sindur, Bogor Regency. The Nafidatunnajah Islamic Boarding School has formal education including vocational education, MTS, and MI. Information technology and computers which can now be used are very important factors in the world of education, from offline face-to-face learning to online using e-learning, Zoom meetings, including changing Paper Based Tests to Computer Based Tests (CBT). This research uses Rapid Application Development (RAD) software model and Unified Modeling Language tools. With the development of this CBT model, it is hoped that it can provide a solution for testing the entrance test which will be measured using the System Usability Scale method. For teachers, the user responses were taken by 10 teachers and for prospective students, the user responses were taken for 20 students by being tested using a web-based CBT application on a browser on each computer, then filling out a questionnaire sheet. The output obtained by using the System Usability Scale in this application is ease of use, more practical and faster, this is stated by prospective students by 77% and teachers by 76%.&#x0D; &#x0D; Keywords: Computer Based Test, RAD, Web, Unified Modelling Language, System Usability Scale
Canada: Royalties for works of intellectual property in the internet – interpretation of the Copyright Act

Article Canada: Royalties for works of intellectual property in the internet – interpretation of the Copyright Act was published on August 1, 2022 in the journal Computer Law Review International (volume 23, issue 4).
Hold my Hand Application for Disabilities

In this project, we aim to take advantage of today's technology to offer a helping hand to people with special needs. Therefore, this work suggests a control system as an Android application in addition to a website for people with special needs. Many people with special needs have problems asking for or interpreting and recognizing their needs. Hence the idea of the application is designed to work on smart devices to help them communicate and identify their understanding way. Through the keyboard or speech translation. Artificial intelligence techniques have used to enrich the work and add useful and important features such as chatbot technology. In short, this project is to make life as easy as possible for people with physical disabilities and make them go about their lives without relying on others or waiting for help.