Reviewerly/exHarmony huggingface dataset:
직업영어 학습이 특성화고등학교 학생들의 영어 어휘 학습에 미치는 영향에 관한 연구

The purpose of this paper is to examine the effect of vocational English instruction on vocational high school students by measuring their general and financial vocabulary learning. Vocabulary tests were administered to 286vocational high school students to measure their general and financial vocabulary understanding. The findings of this study illustrate that, understanding general vocabulary, no significant differences were observed between students who learned financial English and those who did not. Also, their understanding of general vocabulary is not related to how long they learned general English. However, in understanding financial vocabulary, the students who learned financial English showed better understanding of financial vocabulary than those who did not. The results imply that vocational English classes such as financial English need to be expanded in vocational high schools. The fact that the length of learning general English does not make a significant difference in students’ understanding of general as well as financial vocabulary substantiates the claim. The paper concludes with some suggestions for EFL classrooms, especially in vocational school settings, claiming a need for the curriculum revision and teacher training to extend vocational English to meet the needs of students.
Impact-Learning: A Robust Machine Learning Algorithm

The ultimate goal of this research paper is to introduce a robust machine learning algorithm called Impact-Learning, which is being used widely to achieve more advanced results on many machine-learning related challenges. Impact learning is a supervised machine learning algorithm for resolving classification and linear or polynomial regression knowledge from examples. It also contributes to analyzing systems for competitive data. This algorithm is unique for being capable of learning from a competition, which is the impact of independent features. In other words, it is trained by the impacts of the features from the intrinsic rate of natural increase (RNI). The input to the Impact Learning is a training set of numerical data. In this work, we used six datasets related to regressions and classifications as the experiment of the Impact Learning, and the comparison indicates that at outperforms other standard machine learning regressions and classifications algorithms such as Random forest tree, SVM, Naive Bayes, Logistic regression and so forth.
Revisiting Lightweight Block Ciphers: Review, Taxonomy and Future directions.

Block ciphers have been extremely predominant in the area of cryptography and due to the paradigm shift towards devices of resource constrained nature, lightweight block ciphers have totally influenced the field and has been a go-to option ever since. The growth of resource constrained devices have put forth a dire need for the security solutions that are feasible in terms of resources without taking a toll on the security that they offer. As the world is starting to move towards Internet of Things (IoT), data security and privacy in this environment is a major concern. This is due to the reason that a huge number of devices that operate in this environment are resource constrained. Because of their resource-constrained nature, advanced mainstream cryptographic ciphers and techniques do not perform as efficiently on such devices. This has led to the boom in the field of ‘lightweight cryptography’ which aims at developing cryptographic techniques that perform efficiently in a resource constrained environment. Over the period of past two decades or so, a bulk of lightweight block ciphers have been proposed due to the growing need and demand in lightweight cryptography. In this paper, we review the state-of-the-art lightweight block ciphers, present a comprehensive design niche, give a detailed taxonomy with multiple classifications and present future research directions.
Information and Communication Technology in Online Learning Process

This study aims to analyze Information and Communication Technology (ICT) in the online learning process. The method used to meet the needs of analysis was the descriptive method with a qualitative approach. This study indicates the use of information and communication technology has an important role in the implementation of online learning. This learning process can run well with the existence of information and communication technology that has developed quite rapidly, coupled with applications that support the implementation of online learning, such as Zoom meetings that provide easy access and have many advantages and other information media. This paper aims to improve the quality of learning, expand access to learning, visualize abstract ideas, present learning material to be more attractive, and make it easier for us to find information; with this, students can learn easily and be done anytime and anywhere. This paper concludes that if information and communication technology (ICT) is well designed and developed and utilized according to the objectives and characteristics of an institution, the use of information and communication technology in learning will improve the quality of learning, both the process and the results.
학교용 감각처리 평가도구 문항 개발 - 예비연구

Objective: This study aimed to develop an evaluation tool for the sensory processing ability of school children based on their school activities.Methods: The following steps were involved in the development of the tool: 1) a literature review to develop questions related to sensory processing skills in school, 2) interviews with experts, i.e., elementary school teachers (3 persons) and occupational therapists (4 persons), to develop preliminary questions, and 3) an examination of the suitability of the questions by experts (elementary school teachers (24 persons) and occupational therapists (19 persons)).Results: Through the literature review, 179 items were collected, and in the preliminary item composition stage, 93 items were deleted and 23 items were added to form 105 items. In the composition stage of the main items, 87 items were composed by deleting 19 items and adding 1 item when the content validity index value was satisfied at a rate of 70-80% depending on the stage. The results are as follows: For the development of the sensory evaluation tool, a total of 87 items were developed: 45 items related to general learning activity; 17 related to art, music, and physical activity; and 25 related to meal and break-time activities.Conclusion: This study is significant because a tool was developed to evaluate the sensory processing ability of school children in Korea based on their school activities. Therefore, it is expected to be gainfully employed in educational and clinical settings to evaluate behaviors related to the difficulty of sensory processing in school children.
An Agent Interaction Protocol Language for Describing Group Decision-Making

In this paper, we present a language developed for describing group decision-making among agents. This includes the use of interaction protocols to govern agent interactions towards global decision goals, and rules govern human-agent interactions towards local decision tasks. The Contract-net protocol is used as an example, and a prototype system is implemented to demonstrate the application of the language. The multi-dimensional adaptivity of the method in solving group decision problems is discussed.
Covering Populist Media Criticism: When Journalists’ Professional Norms Turn Against Them

Various countries have seen a rise in populist rhetoric used by politicians, parties, and movements to discredit journalists, news outlets, and “The Media.” Research indicates that such rhetoric affects the public’s perceptions of the news media, posing a real challenge to professional journalism. Unlike other targets of populist criticism, journalists find themselves required to mediate that criticism to the public, which puts them in a particularly awkward position . Drawing on thematic analysis of 40 semistructured interviews with Israeli journalists who have been publicly scrutinized by Israel’s prime minister, this article suggests that journalists’ interpretation of traditional journalistic norms, and particularly the ethos of objectivity, leads them to amplify the accusations against them, while refraining from refuting them. As journalists confuse objectivity with passivity, the populist criticism turns into a sophisticated form of “soft” censorship, which uses imagined audiences to manipulate journalists’ professional norms against them.
The Implementation of Hamming Code Using Video Steganography

As time goes on, the internet world grows larger and larger. The massive number of people involved in the internet means that there are more data flying around in cyberspace waiting for someone to receive it; that is where the need for steganography emerges. The role of steganography is to ensure that the necessary transmitted data does not fall in the hands of the wrong person. It hides the vital data inside an image or video without noticeable changes, where only a key provided by the sender allows the receiver to crack open the cover and see the original data. Steganography is often mistaken as a method of cryptography. In fact, they are two different methods, but they can be used together. In cryptography, the observer can detect that there is a hidden message but he doesn’t have the required tools to crack it. Hamming code is a type of cryptography and it’s use in my paper will strengthen the security of this implementation and make it even harder to decipher.
IL DISPOSITIVO PSICHIATRICO NELLO SPECCHIO DEL MANICOMIO CRIMINALE/PSYCHIATRIC DEVICE WITHIN CRIMINAL ASYLUMS

This article points out the device of judicial asylums in Italy, stopping before the origin of the OPG (Judicial Psychiatric Hospital). The meanings of device practices are explored because they are still current. Keywords: Device, Judicial Asylums, Italian Context, Repressive Pratices. Leda Marino e Dottoranda in “Mind, Gender and Language” presso il Dipartimento di Studi Umanistici dell’Universita degli Studi di Napoli Federico II.
인스타그램 텍스트 기사형, 사진 화보형, 영상클립형 방송 게시물 형식에 따른 이용 경험과 지속시청의도

This study seeks to examine how the user’s experience in the form of the broadcast posts on Instagram affects the intent of viewing the program. The study is conducted by producing the posts of of the broadcasters on Instagram into video clip-type, text-oriented news article type, and image-oriented pictorial type. We looked at how users exposed to each type of post have different experiences and how each type of post has an impact on the intent of viewing experience. As a result of the research, video clip-type users’ viewing intentions were enhanced through the experience of forming relationships and pursuing entertainment, while news article-type and pictorial users’ viewing intentions were enhanced through the experience of information acquisition. These findings show that video is an important tool for branding because it is used as a tool for social interaction and is easier to spread through hashtags. The images and news articles have confirmed that the user’s curiosity and alertness have increased the amount of attention or reading to the information, thereby facilitating the acquisition of specific information.
ERRORS ON NARRATIVE WRITING MADE BY THE TENTH GRADE STUDENTS OF MAN 2 KUTAI KARTANEGARA

This article describes linguistics errors on narrative writing made by the tenth grade students of MAN 2 Kutai Kartanegara in academic year 2017/2018. This study used a descriptive qualitative design. The subject of the study was 28 of the tenth grade students of MAN 2 Kutai Kartanegara. The instrument of this study was a written test in narrative form. To analyze the data, the researcher tabulated the data, analyzed the data, summarized the data and made a conclusion. The research revealed the following findings: The types of linguistics errors in grammatical on narrative writing made by the students were using incorrect tense on narrative writing itself and part of speech, such as article, pronoun and preposition. The errors of tense obtained from the data were: (a) not appropriate in using tense; (b) difficulties in using regular and irregular verb; (c) incomplete sentences; (d) confused to unite two actions; and (e) using L1. The errors of article and preposition obtained from the data were: (a) omission error; (b) addition error; and (c) selection error. The errors of pronoun obtained from the data were: (a) personal error and (b) possessive error. The most type of common linguistics errors of the students was tense errors with 202 or  38%, it was followed by article errors with 131 or 25%, and then it was followed by pronoun errors with 103 or 20% and the less error  was preposition errors with 90 or 17%. The characteristic of the students’ errors on tense were not using the past tense as the rule of narrative writing itself. Most of the students using present tense, although several of them using past tense, they were confused to unite two action in past. The characteristic of the students’ errors on article were characterized by missing, adding, and selecting article of “a” in sentence. The characteristic of the students’ errors on pronoun were characterized by the using of personal pronoun “it” and possessive pronoun “he” as substitute of the previous subject or object. The characteristic of the students’ errors on preposition were characterized by omitting and adding preposition of “to” and selecting preposition of “in”. Key Words : error, narrative writing
DNMT3A Gene Polymorphismin Iraqi Acute Myeloid Leukemia Patients and its Relation to Prognostic Factors and Response to Therapy

Acute myeloid leukemia (AML) is a complex and heterogeneous malignant disease of hematopoietic stem and progenitor cells characterized by the accumulation of immature blasts cells in the bone marrow, blood or other organs, that is related to  environmental, genetic and epigenetic factors. Previous studies have shown that single nucleotide polymorphisms (SNP) of DNMT3A  were correlated with the susceptibility of cancer, also suggested to play a crucial role in human cancer prognosis. The aim of the study is to assess the frequency of DNMT3A gene single nucleotide polymorphism (rs11695471) in Iraqi acute myeloid leukemia patients and it is association with disease development and response to treatment. The study included 80 persons, 40 AML patients and 40 healthy control age and sex matched. Routine investigations were collected which including symptoms and signs, physical examination, complete blood count, peripheral blood smears, bone marrow aspirates and immunophenotyping. RT (real time) polymerase chain reaction technique was used to detect DNMT3A gene polymorphism with Sa-cycler-96 well using genomic DNA isolated from peripheral blood and Taq Man SNP genotyping assay (rs11695471) for both patients and control. DNMT3A SNP rs11695471 was detected in all AML patients with 50% showing wild homozygous genotype and 50% showing the variant genotype, while 67.5% of control showing the wild homozygous genotype and 32.5% showed the variant genotype (P value=0.02). 77% of remission in AML cases are related to wild homozygous genotype (TT) of DNMT3A gene polymorphism, while 63% of non remission cases are related to the variant genotype(TA and AA). DNMT3A SNP rs11695471 is common among Iraqi AML patients and may force a high risk of AML development and influence response to treatment.
Research on Autonomous Learning from the Perspective of Big Data in Personal Learning Environment--a Case Study of Zhaoqing

The platform of personal learning environment is built. Knowledge communicators, such as teachers, monitor learners dynamically through the function of the platform, and pay attention to the performance of learners in the process of personal learning, including the overall learning progress, and the personal learning environment platform solves the problems that a single learner cannot completely solve. The platform provides a scheme for learners to learn from each other and guide learning Learners establish learning knowledge base, and gradually complete learning knowledge activities through knowledge sharing and exchange cycle.
Interactive Effect of Gender, Test Anxiety, and Test Items Sequencing on Academic Performance of SS3 Students in Mathematics in Calabar Education Zone, Cross River State, Nigeria

The rationale of this study was to examine the interactive effect of gender, test anxiety, and test items sequencing on the academic performance in mathematics among SS3 students in Calabar Education Zone, Cross River State. Two formulated null hypotheses directed the study. The study adopted the quasi-experimental design. Simple random sampling technique was used in drawing a sample of 474 students from a population of 8,549 SS3 students. A Mathematics Achievement Test (MAT) and a Test Anxiety Scale (TAS) were used primarily as the instruments for data collection. The reliability coefficient obtained for both instruments were .88 and .82 respectively. The data collected were analyzed using descriptive statistics such as mean and standard deviation, while the null hypotheses were tested respectively, using Pearson product-moment Correlation, and Analysis of Covariance where applicable. Findings indicated that test anxiety contributes negatively to academic performance in Mathematics; there is a significant interaction effect between item sequencing and gender on academic performance; between item sequencing and test anxiety on academic performance; and between gender and test anxiety on academic performance in Mathematics respectively; The findings also showed that Based on these findings conclusion and recommendations were made.
Drug Information Extraction Using Image Processing

- People find many types of drugs for medication but not all of them are safe for usage. It should be checked if the drug they are using does not cause any side effects and provides speedy recovery. The information about the drug should be clear and accurate so that there are no side effects after usage. In order to provide accurate information, all the data should be collected. This issue can be solved using an application that reads the information about these drugs and states whether it is safe to consume that drug or know if it causes any side effects. This project uses image processing and what kind of medication it is just by capturing an image and extracts the text on the image and reviewing the information about that drug. This method also helps decide a proper medication for the illiterate.
Mobile Health for covid-19 Pandemic Surveillance in Developing Countries: the case of Saudi Arabia

Recently, Covid-19 pandemic has been causing a large number of deaths as well as hugeeconomic losses all over the world. Future pandemics probably influence more and more especially indeveloping countries due to their shortage in surveillance and healthcare resources. E-Health servicessignificantly helps detecting and reporting any potential pandemic through employing digital data to betransmitted electronically labeled and retrieved local and distance sites. The implying of eHealth can solvethis problem but at the same time it is considered to be costly expensive, which developing countries areprevented from using it due to their limited technical and financial resources. However, Smart-phonescommunication technologies continually improve access to and the ability to be afforded eHealth serviceseven for the countries which have limited resources. Therefore, the present paper clarifies the way that aLocation tracking using Smart-phone devices can be employed in m-Health, which supposedly assistcovid-19 pandemic surveillance in developing countries.
ENHANCED RECURRENT CONVOLUTIONAL NEURAL NETWORKS BASED EMAIL PHISHING DETECTION

Email communication has now become a necessary conversation medium in our daily life. Particularly for the finance sector, communication by email represents a primary role in their businesses. So, it is necessary to classify emails based on their performance. Email phishing is one of the most serious Internet phenomena that make various difficulties to business class essentially to the finance sector. Furthermore, phishing emails are increasing at a dangerous rate in recent days. Hence, more environmentally friendly technology for phishing detection is required to manage the risk of phishing emails. This paper proposes an intelligent system for identifying phishing emails using enhanced recurrent convolutional neural networks (ERCNN). The system performs as new ability to have a web browser as an extension that notifies the user mechanically during detection of phishing emails. The whole system is based on a deep learning approach, in particular supervisory mastery. We chose the Convolutional Neural Network (CNN) due to its excellent overall performance in this category. Our conscience is looking for a higher overall performance classifier by analyzing phishing emails' potential and selecting aenhancedmixture of them to train the classifier. The results shows that proposed work get98.8% accuracy and a total of 26 features.
Analysis of the Construction of Mixed Teaching Model for Comprehensive English Based on the "Rain Classroom" Platform

The rapid development of information technology has led to the reform and innovation of education. The combination of traditional and online teaching models in the current teaching field has become a general trend. More and more professional courses have adopted an online teaching pattern. Teaching platforms and teaching resource libraries are playing an active role in promoting mixed teaching, and bring new vitality to the optimization and improvement of the teaching quality of professional courses. This article takes the teaching of  Comprehensive English in colleges and universities as an example to propose methods to build a practical mixed teaching model based on the online teaching platform, aiming to achieve performance updates of the platform and realize scientific teaching.
Shifting Wor(l)ds: Poetic Encounters with Untranslatable Words

All stories are unique and telling. What would happen if AI practitioners started to incorporate questions about language and untranslatable words – those words borrowed from another language, impossible to translate precisely – into their daily practice. Would they also experience a new awareness and does it lead them to a better understanding of people of different cultures?