Reviewerly/exHarmony huggingface dataset:
A Pragmatic Analysis of Humour in American TV Talk Shows

This research is conducted to study the phenomenon of humour pragmatically in TV talk shows. Though humour is found in daily conversation, most people ignore how it is working in the production. The concept of humour indicates both positive (non- aggressive) and negative (aggressive) affects which may unify or divide people, but it is more preferable to take positive humour into the consideration of this research to narrow down the topic. The objectives of this research are to analyze the maxims that are violated to create humor, to describe and explain the production of humour by examining the pragmatic structure of humorous transcripts, and to explain the functions of humor created through maxims violation expressed by speakers in TV talk shows. This research is conducted by using qualitative method. The data are in the form of utterances done by speakers. The data sources of this research are selected from the videos on You Tube Channel. After being collected, the data are analyzed based on three levels: the initiation of humour and its purpose, the pragmatic strategies of humour, and functions of humor. As a result, criticism is the essential purpose of using humour. Additionally, all Leech's maxims are relatively violated among the speakers with special focus on tact and approbation maxims whereas the violation of Grice's maxims is highly found in quality more than other maxims because of the lack of truth in the humourous utterances. Finally, Affiliative function is the most preferable one attracted by speakers to reach simply their goal behind humour.
PERFORMANCE COMPARISON ON VARIOUS METHODS OF OBJECT DETECTION AND TRACKING TECHNIQUES

Perception and tracing the moving objects in image sequence and computer applications is very important and a tough scrutiny is needed. In object detection, non-stationary or moving things are looked out for in the sequences of images. This is the very first step to be done. To track an object, Object Representation is the next thing on the list. Object tracking pins down the actual position of the non-stationary or moving thing. Recognizing the actual position of a moving object is a demanding chore. Object tracking is important for different purposes like traffic monitoring, surveillance, robotics and also, animation. Under this, we have deliberated various object detection and object tracking techniques. The aim is to scrutinize foregoing methods in this field Also, to recognize the rifts and propose new system or technique for the same.
COVID-19 Response In Low- and Middle-Income Countries: DonÃ¢??t Overlook The Role of Mobile Phone Communication

Appraisals of wellbeing limits with regards to the Covid illness 2019 (COVID-19) pandemicindicate that generally low-and center pay nations (LMICs) are not operationally prepared to oversee this health crisis. Propelled by overall accomplishments in other irresistible sickness plagues and our experience in Sub-Saharan Africa, we support cell phone correspondence to improve information collection and detailing, correspondence between medical care laborers, general wellbeing foundations, and patients, and the execution of infection following and resulting hazard delineated seclusion measures. Programmaticaction is required for midway planned announcing and correspondence frameworks working with mobile phones in emergency the board plans for tending to the COVID-19 pandemic in LMICs.
Incompleteness Analysis of Medical Record Data on Inpatient Discharge Summary

Hepatoma or hepatocellular carcinoma (KHS) is a primary malignant tumor of the liver originating from hepatocytes and the 3rd cause of death from cancer in the world. The history of a hepatoma patient can be seen based on the patient's medical record. The filling of medical record is done by doctors, nurses / midwives and medical record personel. However, in medical record filling, incompleteness is often found and cause inaccurate information. The study design used a retrospective analysis approach. Variable in the study were incompleteness; authentication and documentation on patient discharge summary form. Population in this study is inpatient medical records for Hepatoma cases in a Padang City Hospital from January to March 2019 were 75 medical record documents (discharge summary form) inpatients with hepatoma cases. The results indicated that there were incompletenesses on discharge data, date of birth, gender, name of the consular doctor, name of the doctor who sent, address, diagnosis, ICD code, procedure code, discharge status, follow-up, patient or family signature. The largest incompleteness filling out the discharge summary form is found in address data items as many as 46 medical records (61%).
An Error Analysis of Using Question Tag on Students’ Writing Test of English Department Universitas Pamulang

Based on the observation, researchers find that there are students’ error of using Question tag in writing test at English letters department of UNPAM. The difficulty of understanding and applying the structure of using question tag in writing test become the problem. The aim of this research is to know the English Letters Department students’ errors of using question tags in writing test at Universitas Pamulang. Researchers use descriptive qualitative method. The population of this research is around 200 third year students of English Letters Department, Unpam. Researchers take 30 students to represent the sample of population of purposive sampling technique. The instrument is argumentative writing test. Researchers ask students to write argumentative text with question tags inside, such as: positive sentences, negative sentences and modal auxiliaries. Then researchers collect the data, identify the data, classify the errors of question tag and explain the causes of students’ errors in question tag writing test. Researchers use Richard’s theory to analyze the causes of error into: 1. Overgeneralization. 2. Incomplete application of rules. 3. False concepts hypothesized 4. Ignorance of rule restriction. After this study, researchers expected to be able to enrich the lecturers and students’ knowledge and to improve students’ ability in writing Question tag, know both the kinds and the causes of students’ error of using question tags in writing test.
Sistem Informasi Pembayaran Sekolah Pada SMK Widya Kutoarjo Berbasis Web

The school payment system at SMK Widya Kutoarjo is still handwritten. Data related to payments such as building management payments, uniform payments, book payments, and government assistance are kept in the form of files, making them less effective and efficient. The purpose of this study is to create a school payment information system, with the benefit of facilitating the process of managing school payment data and making it easier for parents to monitor student payment status. The school payment information system designed using Context Diagrams, Data Flow Diagrams (DFD), and Entity Relationship Diagrams (ERD) aim to help the payment process to be more effective in managing data.
An international, multi-stakeholder survey about metadata awareness, knowledge, and use in scholarly communications

Abstract The Metadata 2020 initiative is an ongoing effort to bring various scholarly communications stakeholder groups together to promote principles and standards of practice to improve the quality of metadata. To understand the perspectives and practices regarding metadata of the main stakeholder groups (librarians, publishers, researchers, and repository managers), we conducted a survey during summer 2019. The survey content was generated by representatives from the stakeholder groups. A link to an online survey (17 or 18 questions depending on the group) was distributed through multiple social media, listserv, and blog outlets. Responses were anonymous, with an optional entry for names and email addresses for those who were willing to be contacted later. Complete responses (N = 211; 87 librarians, 27 publishers, 48 repository managers, and 49 researchers) representing 23 countries on four continents were analyzed and summarized for thematic content and ranking of awareness and practices. Across the stakeholder groups, the level of awareness and usage of metadata methods and practices was highly variable. Clear gaps across the groups point to the need for consolidation of schema and practices, as well as broad educational efforts to increase knowledge and implementation of metadata in scholarly communications.
자아 쓰기와 이야기 쓰기 ―중국고전시가에서의 서정(抒情)과 서사(敍事)

This essay attempts to redefine the genre characteristic in Chinese classical poetry by applying the two concepts of “self” and “narrative.” In the traditional period, the literati in ancient China believed that literary works must express one’s emotions. Although the rigid rule that emotions should be expressed in a lyrical genre and that the narrative delivery system should be implemented in the epic style did not exist, over time the literati increasingly tended to differentiate clearly between the roles of the two items. After learning from various texts of the Han Dynasty 漢代, the literati successfully created a poetic self that could represent the poet’s emotions since the Wei Jin 魏晉 period, and they even tried to standardize the types of emotions expressed by the poetic self. Through the Jian’an 建安 period, the emotions in literary works were restricted to “the refined and empathic style.” For this reason, while in many poems of the Wei Jin 魏晉 and Six Dynasties 六朝 period, we can easily find the poetic self succeed in interiorizing emotions, we cannot find the embodiment of narrative which is considered to interrupt the delivery of emotions. I think the narrative delivery system was initiated early, but the initiative was taken away from self-expression only rarely in Chinese lyric poetry. The following several features appeared in the successful cases of the narrative delivery in Chinese poetry. First, pure fiction must be avoided and narrative must be based on an event that actually happened or is likely to happen in real life. Second, when delivering narrative in poetry, the literati paid attention to the way of highlighting some short scenes rather than constructing the overall framework. Third, no matter how much the literati appreciated the value of narrative in Chinese poetry, they did not acknowledge the authority of narrative to overpower the poetic self. In conclusion, the poetic self seized the absolute authority in Chinese verse, whereas the narrative element in verse was only an auxiliary means to express the emotions of the poetic self. We may, therefore, reasonably conclude that “poetry expresses intent(shi yan zhi)” was the only doctrine that controlled the writing world of the literati until the end of the traditional period in China.
使用三維 N3Net 和細節水平圖作影片去噪

Noise is an inevitable problem of photography due to hardware limitations. To tackle with it, researchers have developed various kinds of denoising methods. One of the methods use neighbor frames from video to help denoising each frames, which is so-called video denoising. In this paper, we use N3NET as backbone, which leverages neighbor patches to help denoising, and extend the concept of it to multiple images denoising problem. Furthermore, we train another sub-model to learn a so-called detail-level map of images, an analogy to noise-level map of noise from photography terms. In the end we use both detail-level map and original frames to predict the denoised result. We show that by using 3D N3Net we can have similar visual quality with state-of-the-art methods. And with close-to-ground-truth detail-level map, we can further improve the result.
Metaheuristic optimization in neural network model for seasonal data

The use of metaheuristic optimization techniques in obtaining the optimal weights of neural network model for the time series was the main part of this research. The three optimization methods used as experiments were genetic algorithm (GA), particle swarm optimization (PSO), and modified bee colony (MBC). Feed forward neural network (FFNN) was the neural network (NN) architecture chosen in this research. The limitations and weaknesses of gradient-based methods for learning algorithm inspired some researchers to use other techniques. A reasonable choice is non-gradient based method. Neural network is inspired by the characteristics of creatures. Therefore, the optimization techniques which are also resemble the patterns of life in nature will be appropriate. In this study, various scenarios on the three metaheuristic optimization methods were applied to get the best one. The proposed procedure was applied to the rainfall data. The experimental study showed that GA and PSO were recommended as optimization methods at FFNN model for the rainfall data.
Varying the stop lights

Induced SeismicityTraffic light protocols can help to mitigate induced earthquakes from unconventional oil production. However, they are not geographically tuned to account for how shaking may actually translate to structural damage. Schultz et al. incorporated damage tolerance into a traffic light protocol for the Eagle Ford shale play. They found that shut-off may be necessary more quickly in populated regions, whereas sparsely populated areas of the play can take up to a magnitude 5 earthquake without issue. This risk-based strategy provides a more nuanced approach to regulating induced seismicity.Science , this issue p. [504][1] [1]: /lookup/doi/10.1126/science.abg5451
Forthcoming: The Handbook of Lexical Functional Grammar

Lexical Functional Grammar (LFG) is a nontransformational theory oflinguistic structure, first developed in the 1970s by Joan Bresnan andRonald M. Kaplan, which assumes that language is best described andmodeled by parallel structures representing different facets oflinguistic organization and information, related by means offunctional correspondences. This volume has five parts. Part I,Overview and Introduction, provides an introduction to core syntacticconcepts and representations. Part II, Grammatical Phenomena, reviewsLFG work on a range of grammatical phenomena or constructions. PartIII, Grammatical modules and interfaces, provides an overview of LFGwork on semantics, argument structure, prosody, information structure,and morphology. Part IV, Linguistic disciplines, reviews LFG work inthe disciplines of historical linguistics, learnability,psycholinguistics, and second language learning. Part V, Formal andcomputational issues and applications, provides an overview ofcomputational and formal properties of the theory, implementations,and computational work on parsing, translation, grammar induction, andtreebanks. Part VI, Language families and regions, reviews LFG workon languages spoken in particular geographical areas or in particularlanguage families. The final section, Comparing LFG with otherlinguistic theories, discusses LFG work in relation to othertheoretical approaches.
Исследование мотиваций студентов к обучению на различных этапах образовательного процесса

Y. D. Danilov, O. P. Burko, E. G. Kudritskaya. Research of Students 'Motivations to Teaching at Different Stagesof the Educational Process
Help ID suspect, vehicle seen on camera after using purse theft victim’s credit card to buy $500 in gift cards

Lynnwood Police are asking for the public’s help to identify a suspect in a silver Ford Taurus with black wheels seen on surveillance camera in Renton after using a woman's credit card that was stolen during a purse theft to purchase $500 worth of gift cards.
مفهوم الذات لدى ذوي اضطرابات التعلم و العاديين : دراسة مقارنة مع المعسورين قرائيا نمودجا

Abstract : The present study aimed at identifying the self-concept of people with learning disorders - dyslexics as a model - through a comparative study between the self-concept of dyslexic children and normal ones. The study sample consisted of 74 primary school pupils, who were subjected to a self-concept test. This was prepared by Talaat Mansour, in addition to the diagnostic test of reading dyslexia by Nasra Abdul Majid Jaljal. The results concluded that there were differences in self-concept between dyslexics and ordinary people. Keywords: Self-concept; Learning disorders; dyslexics; Academic achievement.
SEGMENTASI DAN PERAMALAN PASAR RETAIL MENGGUNAKAN XGBOOST DAN PRINCIPAL COMPONENT ANALYSIS

The growth of the online retail market in Indonesia is an excellent business opportunity. It is predicted that this growth will continue to move upward due to the increasing internet penetration. With greater exposure to brands, products and offerings, consumers become smarter and wiser in their purchasing decisions. Offering goods and services that match the tastes and behavior of consumers is very important to maintain business continuity. So far, the models developed are divided into two major parts, namely the time series approach and machine learning. In this study, segmentation and forecasting of online retail sector sales were carried out using extreme gradient boosting (XGBoost). The data used in this study is an online retail dataset obtained from the UCI repository. The k-means clustering (KMC) method is applied to determine the target or data class. Principal component analysis (PCA) is applied to reduce data dimensions by eliminating irrelevant features. Model evaluation is based on confusion matrix and macro average ROC curve. Based on the research results, XGBoost can perform retail data classification well, this can be seen through confusion matrix metrics and ROC curves.
THE USE OF RIDDLE FOR TEACHING WRITING TO EFL

The objective of this research is about using riddle to improve the learners’, especially the English Foreign Learners (EFL) writing skill. The development of teaching learning activity has brought some new ways in teaching learning English activity.  It also relates to the use of technology to support the process of teaching learning activity. The development of technology has also made some applications to support it. Riddle is one of the applications that can be used as a teaching tool to support the process of teaching learning activity. Riddle can also be used as a tool to teach writing. Writing is one of the English skills that should be mastered by the learners, especially EFL. Writing is the most difficult skill in learning English as it relates to many others elements in English such as grammar, vocabulary, punctuation, etc. The participants of this research are the learners in of the English Course at Gading Serpong, Tangerang. Descriptive qualitative was used as the method of the research and the EFLs’ paper are used as the instruments of the research. The results of the research are: (1) Most learners were excited when they are asked to make a riddle; (2) The learners could explore the words and sentences related to the riddle; (3) Learners who have good writing skill could make a good riddle, and (4) Learners who are not really good at writing, got some difficulties in exploring and guessing the riddle given by another friends.
Multi-location Trails for Stability of Growth Parameters of Horsegram Mutants

Multi-location trials for growth parameters such as plant height (cm), primary branches per plant, days for first flower and days for maturity in horsegram [(Macrotyloma uniflorum (Lam.) Verdc] mutants are important for evaluation of genotype by environment interaction and identification of superior genotypes in the final selection cycles. The objective of this study was to evaluate stability and adaptability of growth parameters of horsegram mutants. Multilocation trails of horsegram mutants were conducted at different localities of five districts such as 1. Pokhari (Tal-Ashti, Dist-Beed), Chinchpur, Tal-Paranda, Dist-Osmanabad), 3. Hulgewadi (Tal-Karmala, Dist-Solapur), 4. Kuldharan (Tal-Karjat, Dist-Ahmednagar) and Pimpalwadi, (Tal-Kankavali, Dist-Sindhudurg).The stability of growth parameters in M 4 , M 5 and M 6 generations was investigated.Almost all mutants like early dwarf, early semi dwarf, late and high yielding showed stability in all generations at five localities in five districts of Maharashtra.
Analisis Ancaman Terhadap Penerapan Framework Manajemen Insiden Di Indonesia

The incident management framework is a tools that can be used as an early warning system to overcome problems in the implementation of information technology. This Framework also used for measuring the maturity level of incident management that has been carried out by institutions in Indonesia. We can used it as an open intelligence of information source. Within national scope, this framework used for knowing Indonesia’s ability to deal with cyber incidents. Therefore, it is necessary to conduct a threat analysis on the implementation of incident management framework. Author used mix-method research, which is the combination between qualitative and quantitative research. The result of this research is coefficient value of threat analysis to the implementation of incident management is 15.86. This value is included in high category.
RESUME BUILDER APPLICATION

A resume is a document used by individuals to present their background and skill sets. A resume also spelled resume or resume also called curriculum vitae or CV. A document that has a brief summary or listing about relevant education and experience. The resume or CV is typically the first item that a potential user encounters regarding the job seeker and is mostly used for screening an applicant’s which is often followed by an interview, while seeking employment in the job search process and well-designed resume. The Resume Builder will help user build his/her personal advertisement through Resume Builder system develop a resume builder with job placement system. Many large employers use electronic resume processing systems to handle large number of resumes. Job portal advertisement may direct applicants to email his resume to their company or visit their website and submit a resume in electronic format. Online jobs search through most popular websites is beneficial as they have served for so many years as a prominent search tool for job seekers and employers alike. In spite of their valuable utility in linking employers with the potential employees, the searching process and technology used by job searching websites have not kept pace with the rapid changes in computing capability and machine intelligence. The Information and data retrieval techniques are used by these websites primarily depends on manually entered search queries with some advanced similarity metrics for ranking search result.