Reviewerly/exHarmony huggingface dataset:
A Corpus-based Study of Lexical Bundles in Rhetorical Moves of L1 and L2 Research Article Abstracts in Applied Linguistics

This paper aims to compare structural characteristics of lexical bundles in rhetorical moves of applied linguistics research abstracts written by two groups of L1 and L2 academic writers. This study makes a comparison of four-word lexical bundles frequency and structural types among five rhetorical moves. The corpora used in this comparative study were the Native Research Article Corpus for L1 writers and the Chinese Research Article Corpus for L2 writers, which made up of research article abstracts from both Chinese and international journals of applied linguistics from 2005 to 2015. The results show that L2 writers used more bundles than L1 writers did in the moves of purpose presenting the research (Move 2) and summarizing the findings (Move 4). In terms of lexical bundle structural types, both L1 and L2 writers used more VP-based lexical bundles than NP-based and PP-based bundles in each move. Compared with L1 writers, L2 writers demonstrated a tendency to overuse lexical bundles both in types and tokens. The findings may provide a good reference for academic writing instructions in English for academic purposes.
EKSTRAKSI FITUR CITRA API BERBASIS EKSTRAKSI WARNA PADA RUANG WARNA HSV dan RGB

The potential for fires increased at this time. Many factors cause fire, both small sale and large scale, such as forest fires. Early detection of fire is one of the right solutions. The Research about detection fire use any methods, you can use UAVs (Unmanned Aerial Vehicle), Android devices, and other technologies that are mostly based on image processing. This is one of the research based on image processing with fire objects. Fire image will be processed in the features extraction with the source of the fire coming from the candle. The candle is used as a detection object because the color characteristics of the fire in the candle as same as a larger scale fire. The method used is feature extraction based on colour extraction in HSV color space (Hue Saturation Value) and RGB color space (Red Green Blue). The result of this research are parameters of each color space for fire detection, there are HSV color space get 0,2≥Hue≥0,1; 0,85≥Saturation≥0,5; and 1≥Value≥0,9, and also for RGB color space get 255≥Red≥230; 250≥Green≥100; and 130≥Blue.
한국인의 중금속과 유기용제에 대한 인식도와 정보취득 경로

Objectives: This study aimed to investigate the public cognition and information acquisition route for heavy metals and organic solvents in the general population in order to provide information for the development of public relations materials.Methods: The study was carried out by questionnaire from January to March 2011 by an interview with trained surveyors. There were 700 participants, divided by gender and age. A questionnaire was issued consisting of subjective and objective cognition evaluation items and questions about information acquisition route and preferred information acquisition route for six heavy metals and five organic solvents. Data were expressed as a percentage using the SPSS 23.0 software package.Result: For heavy metals, subjective and objective cognition degrees were higher in the order of lead, mercury, cadmium, and arsenic. They were higher among males than females, and in adults compared to school-age subjects. For organic solvents, both cognition degrees were high in the order of acetone, benzene, and formaldehyde. However, cognition degree by gender and age showed a complex pattern. As a response to information acquisition route, broadcast media had the highest in all ages and genders, followed by word of mouth from neighbors in elementary school children, school education or expert lectures in middle and high school students up to people in their 30s, and print media among those in their 40s to over 60s. There was no difference in the order by gender. As a response to preference for information acquisition route, broadcast media also proved the highest in all ages and genders, followed by school education or professional lectures among those in elementary school and over their 60s, and the internet in other age groups. Females preferred school education or expert lectures and word of mouth from neighbors, while males preferred the internet. In the case of the internet, the ranking was higher for preferred information acquisition route compared with the ranking for information acquisition route.Conclusions: This data on cognition degree, information acquisition route, and preferred information acquisition route according to gender and age can provide basic data for the development of educational and promotional materials for heavy metals and organic solvents exposure management.
Probabilistic task modelling for meta-learning

We propose probabilistic task modelling -- a generative probabilistic model for collections of tasks used in meta-learning. The proposed model combines variational auto-encoding and latent Dirichlet allocation to model each task as a mixture of Gaussian distribution in an embedding space. Such modelling provides an explicit representation of a task through its task-theme mixture. We present an efficient approximation inference technique based on variational inference method for empirical Bayes parameter estimation. We perform empirical evaluations to validate the task uncertainty and task distance produced by the proposed method through correlation diagrams of the prediction accuracy on testing tasks. We also carry out experiments of task selection in meta-learning to demonstrate how the task relatedness inferred from the proposed model help to facilitate meta-learning algorithms.
Machine Learning Based Secured Data Transmission For Banking Application

Security in the Internet of Things emphasizes on securing the Internet-enabled gadgets that link to wireless networks.  IoT Safety attempts to safeguard IoT devices and systems against cybercrime and it is considered to be a vital security element linked to the Internet of Things. Conversely, banking applications are progressively being supervised for their failure to provide a sufficient degree of customer support and to protect themselves against and respond to cyber-attacks. One of the main factors for this is the vulnerability of fintech systems and networks to malfunctioning. Therefore, wireless networks covering these IoT products are extremely unprotected. IoT is a lightweight system and it is optimal when using lightweight and energy-efficient cryptography for protection. Deep learning is an efficient technique to analyze threats and respond to attacks and security incidents. So this work addresses both security and energy efficiency in IoT using two novel techniques carried out through deep learning. This work contributes to the most innovative way of saving energy in IoT devices through decreasing the use of energy-expensive ‘1’ values in the interface of Dynamic RAM. This can be done by using Base + XOR encoding of data during data transmission. Also, the security of data is incorporated using chaotic XOR encryption (CXE) algorithm which is proved to perform faster and stronger encryption using XOR operation. Using Conditional Generative Adversarial Network (CGAN) based deep learning technique, the Base + XOR encoding technique and CXE are trained well in the banking application. The data generation in CGAN is carried out based on criteria produced using generator model. This work is proved to be consuming less energy, less data transmission time, and provides more security when compared to the existing systems.
Analysis The Strategy In Improving Students Reading Comprehension of “ Content Area Reading and Learning” English Book

This research is intended to know whether the teaching and learning process of reading comprehension using the Content Area Reading and Learning English Book helps to develop students' understanding and people who want to master English language skills, one of which is reading, in overcoming reading comprehension problems using reading books will increase  structure or strategy.  This research uses qualitative methods. The writing of this scientific paper aims to find out what strategies are used in developing students' skills or abilities, as well as those who want to master the English reading skills which are the basis of English before reaching writing and speaking, and according to the application in the Content Area Reading and Learning English Book, and the results of the research strategy used in learning to read are small group teams towards clearly articulated goals.
Towards offensive language detection and reduction in four Software Engineering communities

Software Engineering (SE) communities such as Stack Overflow have become unwelcoming, particularly through members' use of offensive language. Research has shown that offensive language drives users away from active engagement within these platforms. This work aims to explore this issue more broadly by investigating the nature of offensive language in comments posted by users in four prominent SE platforms - GitHub, Gitter, Slack and Stack Overflow (SO). It proposes an approach to detect and classify offensive language in SE communities by adopting natural language processing and deep learning techniques. Further, a Conflict Reduction System (CRS), which identifies offence and then suggests what changes could be made to minimize offence has been proposed. Beyond showing the prevalence of offensive language in over 1 million comments from four different communities which ranges from 0.07% to 0.43%, our results show promise in successful detection and classification of such language. The CRS system has the potential to drastically reduce manual moderation efforts to detect and reduce offence in SE communities.
Directed Graph Embeddings in Pseudo-Riemannian Manifolds

The inductive biases of graph representation learning algorithms are often encoded in the background geometry of their embedding space. In this paper, we show that general directed graphs can be effectively represented by an embedding model that combines three components: a pseudo-Riemannian metric structure, a non-trivial global topology, and a unique likelihood function that explicitly incorporates a preferred direction in embedding space. We demonstrate the representational capabilities of this method by applying it to the task of link prediction on a series of synthetic and real directed graphs from natural language applications and biology. In particular, we show that low-dimensional cylindrical Minkowski and anti-de Sitter spacetimes can produce equal or better graph representations than curved Riemannian manifolds of higher dimensions.
Robots y Derecho de autor: La posibilidad de una autoría cibernética

espanolLa introduccion de la Inteligencia artificial en el campo del Derecho de autor lleva anos produciendo obras generadas por sistemas computacionales. Esta incidencia se traduce para muchos autores en dos consecuencias: La primera, que la Inteligencia artificial, como la humana, puede ser creativa, puede producir obras literarias o artisticas; la segunda, que de tales creaciones deriva una autoria acompanada de la titularidad de los derechos sobre la obra, titularidad que, dice el TR de nuestra Ley de Propiedad intelectual en su articulo 1, corresponde al autor por el solo hecho de su creacion. La primera afirmacion debe ser, a mi juicio, matizada; la segunda, sin embargo, entiendo que debe ser rechazada, y en este trabajo se exponen las razones para ello. EnglishThe introduction of Artificial Intelligence in the scope of Copyright has been producing computer generated works made by AI systems for years. This incidence results, for many authors, into two consequences: The first, that artificial Intelligence, like human one, can be creative, can produce literary or artistic works; the second, that from such creations derives an authorship accompanied by the ownership of the rights on the work, ownership that, says the text of our Intellectual Property Law in its article 1, belongs to the author by the sole fact of its creation. The first statement must be, in my opinion, nuanced; the second, however, I understand that it must be rejected, and in this work the reasons for this are explained.
Technology and the Changing World of Case Investigation and Contact Tracing

Case investigation and contact tracing are two fundamental public health activities that involve working with a patient who has been diagnosed with a probable or actual infectious disease to identify contacts who may have been infected through exposure to the patient. [...]reported research studies have used a wide variation of follow-up techniques. [...]of these factors, waiting until testing has established the presence of the COVID-19 is much too late to effectively slow the spread of the disease. Flow reliable is the tool and how was this determined? A tool may pick up almost every case of COVID-19 (a highly sensitive tool) however, the tool may not eliminate other illnesses with related symptoms (a low specific tool). [...]screening for fever alone is not an effective approach to screen for COVID-19.
LibGuides: Faculty Support Services: General

This portal provides information about library resources and services that can support faculty teaching and research
An Content-Based Medical Image Mining System Based On Fuzzy C-Means Associate Oppositional Crow Search Optimization

In recent, Content-Based Image Retrieval (CBIR) requires remained unique on the best research areas in the ground of processor presentations. The advent of the World Wide Web, proliferation of digital cameras and as well as the use of multimedia systems for public and private use, images have become more and more common around the world. The significant objective of this research is to enhance the retrieving performance of the CBIR system by incorporating optimization techniques to predict appropriate centroid in Fuzzy C-means (FCM). The intention to incorporate an optimization technique to predict FCM centroids certainly reduces complexity and computation time. The swarm intelligence method is determined to solve the prediction of optimal FCM centers of gravity and to understand the basic methodology in implementing crow search Optimization (CSO) and particle swarm optimization (PSO) urges the development of an oppositional Crow Search Optimization (OCSO). The results show that the incorporation of OCSO into FCM shows superior results competitive techniques.
인공지능(AI)을 활용한 한국어 듣기 교육 자료 제작 연구 -음성합성기술(TTS) 활용을 중심으로-

Although the scope of application of artificial intelligence(AI) related technologies has been expanding to various fields over the past decade, research on utilization in Korean language education has been minimal. Therefore, in this study, we sought to explore the educational use of listening material produced by the TTS program. First of all, as a result of the listening evaluation on learners, there was no significant difference between the sound source recorded by a professional voice actor and the listening material using the TTS program. Second, Listening materials were evaluated for Korean teachers. ‘Pronunciation’ could be considered good overall. ''Intonation and Accent'' needs to be elaborated according to context of situations, including the speaker''s feelings. and that ‘time factors’ can be accepted naturally in general, but some sentences were awkward. Third, after analyzing the accuracy of the listening material produced through the STT program, 96%, the pronunciation of the listening material was generally clear. Overall, the listening material produced by the TTS system has been evaluated in various ways, and the possibility of educational use in the Korean language education field can be evaluated positively. However, expanding the scope of the TTS program requires continuous performance improvement efforts. (Yonsei University)
LibGuides: Recursos de Coronavirus para hispanohablantes en Santa Clara | Coronavirus Resources for Spanish Speakers in Santa Clara: Libros para adolescentes | Books for Teens

The purpose of this guide is to provide resources, such as books, e-books and websites, dedicated for Spanish speakers to easily find information on the novel coronavirus (COVID-19)
태국어의 품사와 문장 성분에 관한 연구 -수식사를 중심으로-

The main assertion of this paper is that the study on the classification of the parts of speech, and sentence constituents in Thai language are distinctively made on the basis of the co-relation of the word, parts of speech, and sentence constituents.The purpose of classifying parts of speech and sentence constituents is to understand and describe the language properly well. In the process of second language acquisition, it is significant / strongly required for a second language learner to correctly grasp the parts of speech and sentence constituents of the target language. Learners’ errors occur if the parts of speech and sentence constituents are not fully comprehended.One of the causes of Korean Thai learner’s errors is the learners overlook the linguistic characteristic of Thai language. In other words, the characteristic of isolated language is that there is no change in the form of vocabulary. Therefore, classification of parts of speech and sentence constituents in Thai plays a significant role in reducing such errors / contributes to reduce such errors.In this article, to help Korean Thai learners’ understanding, the parts of speech and sentence constituents of Thai were classified and compared to those of Korean. In addition, we investigated the type of ‘modifier’, one of the parts of speech in Thai. In particular, we studied how this ‘modifier’ is used in Thai sentences and the applications of ‘modifier’ in Thai from the perspective of ‘the multi category of parts of speech’.
한·일 ‘복합동사 대비 단일동사’의 상호교차유형 - 『겨울연가』·『冬のソナタ』 번역을 중심으로 -

This study compared examples of compound verbs in ‘Winter Sonata(겨울연가)’ (The script of Korean KBS2 TV Drama Winter Sonata) and ‘冬のソナタ’ its translation into Japanese to investigate examples of the types of expressions in Korea and Japan and their diversity. As a result, the following meaningful results were obtained.1. As a result of the investigation of compound verbs in Korea and Japan, classifying them into lexical compound verbs, grammatical compound verbs, and integrated compound verbs, most were grammatical compound verbs in both languages.2. As for the intersectional translation of “single verbs to compound verbs” in Korea and Japan, there were many more examples and types in Japanese than in Korean.3. The types of intersections of single verbs to compound verbs could be classified into seven types as follows: (a)Mimetic word+single verb (b)Adverb/adjective -(게/로/히) +single verb (c)Affix+single verb (d)Sino-Korean word+(하다/시키다) (e)Auxiliary verb -(어/여)+single verb (f)-(을/으로/에)+single verb; and (g)collocation and single verb (-나다/-지다)4. In the examples of Korean single verbs compared to Japanese compound verbs, there were a lot of examples of grammatical compound verbs while, compared to Korean compound verbs, in the types of Japanese single verbs, mostly, there were a lot of lexical compound verbs. The kinds of their types were simple, and there was a smaller number of examples
Lower-Bounded Proper Losses for Weakly Supervised Classification

This paper discusses the problem of weakly supervised classification, in which instances are given weak labels that are produced by some label-corruption process. The goal is to derive conditions under which loss functions for weak-label learning are proper and lower-bounded -- two essential requirements for the losses used in class-probability estimation. To this end, we derive a representation theorem for proper losses in supervised learning, which dualizes the Savage representation. We use this theorem to characterize proper weak-label losses and find a condition for them to be lower-bounded. From these theoretical findings, we derive a novel regularization scheme called generalized logit squeezing, which makes any proper weak-label loss bounded from below, without losing properness. Furthermore, we experimentally demonstrate the effectiveness of our proposed approach, as compared to improper or unbounded losses. The results highlight the importance of properness and lower-boundedness.
The Subjectivity on Multicultural Families : Q-Methodology

The objectives of this study are to understand the subjectivity of multicultural families perceived by nursing students, to describe the characteristics of each type, and also to understand the classification of multicultural families by applying the Q-methodology. Total of 20 students of the nursing department in A college were asked to classify total of 42 sentences of statements about multicultural families. The collected data was analyzed by using the QUANL PC Program. In the results of this study, the nursing students’ perception of multicultural families was divided into three factors. The types of subjectivity on multicultural families included the ‘type of accepting and acknowledging multicultural families’, the ‘type of seeking for institutional support’, and the ‘type of conservative perception’. This study provided the basic data of basic humanities and social science education for nurses and nursing students who would nurse multicultural families.
2D Animation PSA: Hygiene Self-Care From Infectious Of Various Human Contracted Diseases

The objective of this project is to create a public service announcement (PSA) video on hygiene, infectious self-care of various human contracted diseases using 2D animation that provides interactive graphic information on the subject. This research focuses on educating teenagers by sharing hygiene, self-care, virus knowledge, and diseases that can be infected with many individuals in many countries step-by -step. There are diseases like the Corona Virus (Covid-19). The multimedia approach instructional solution is the ADDIE Model that will be used in this study. 100 percent believe that this video will teach teens about the right hygiene method, self-care, based on the assessment study. Then 86.5 percent rate the video as outstanding for describing the virus and how other people will be affected. Finally, 96.2 percent analyze this video to continuously create information for the public. Overall, this study will provide the public with self-awareness, better understanding of the virus, and useful knowledge of hygiene, self-care, and infected diseases, especially when explained in the graphic method of interactive information.
DESAIN SISTEM BASISDATA UNTUK PENYEDIAAN LAYANAN INFORMASI PADA DESA SUKATANI, KECAMATAN CIKANDE, KABUPATEN SERANG, BANTEN

Referring to Law Number six of 2014 concerning Villages, that villages are encouraged to play a role in building village social resilience, providing basic services, alleviating poverty, improving the quality of human resources, and improving people's welfare. To realize the role of the village, it is necessary to have a comprehensive and accurate village database as the information needed, both by the community and by other stakeholders. This study uses a prototype method with the aim of designing the database system needed to provide information services in Sukatani village, Cikande sub-district, Serang district, Banten. The result of the research is in the form of a comprehensive village database system prototype with the hope that it can help realize the role of the village. Especially Sukatani Village, Cikande District, Serang - Banten