Reviewerly/exHarmony huggingface dataset:
Fast-and-frugal trees for decision-making

Fast-and-frugal trees for classification/decision are at the intersection of three families of models: lexicographic, linear and tree-based. We briefly examine the classification performance of simple models when making inferences out of sample, in 11 medical data sets in terms of Receiver Operating Characteristics diagrams and predictive accuracy. The heuristic approaches, Naïve Bayes and fast- and-frugal trees, outperform models that are normatively optimal when fitting data. The success of fast-and-frugal trees lies in their ecological rationality: their construction exploits the structure of information in the data sets. The tool ARBOR, a digital learning tool, which is a plug-in to the freely available data-science education software CODAP can be used for constructing and interpreting fast- and-frugal classification and decision trees. This paper is an abridged version of work by Woike, Hoffrage &amp; Martignon on the integration of classification and decision models into a common framework (Woike, Hoffrage &amp; Martignon, 2017).
A Network-Graph Based IT Artifact Aiding the Theory Building Process

To support theory building, we introduce a network-graph based IT artifact to provide high recall during exploratory searches and high precision using knowledge gained through the literature discovery process.The use of network graphs, where all data is represented as a node, relationship, or property of either, offers a flexible and tailorable methodology able to accommodate the highly iterative process of theory building.This IT artifact was developed to enable aggregation and normalization of data from varied sources and formats to support the acquisition and assessment of literature needed throughout this process.Our goal in presenting this IT artifact is to promote an accessible and pragmatic approach addressing the varied challenges of Information Systems researchers during the information seeking process.
RHETORICAL ANALYSIS OF PRESIDENT TRUMP POLITICAL SPEECH IN PALM BEACH, FLORIDA ON JANUARY 3RD, 2020 ON THE KILLING OF QASSEM SOLEIMANI

This research analyzes rhetoric which is uttered by President Trump in his political speech in Palm Beach, Florida on January 2020 on the killing of Qassem Soleimani. The analysis involves its context, arguments, and also the effects caused by his speech. The research method used is descriptive qualitative method. The data were taken from the video, the transcript of the speech and the news related to the speech. Martin theory (2014) of rhetorical analysis on political speech and Cicero`s theory in Aristotle (2008) of the classical principle of rhetoric are used to analyze the data. The research results are the rhetorical context of President Trump`s speech is to respond and clarify the killing of Qassem Soleimani; and the accusation of started a war, thus the rhetorical argument shows that the speech used all the classical principle of rhetoric and the rhetorical effect of the speech is escalating the tension in the region.
Efficient Weighted Edit Distance and N-gram Language Models to Improve Spelling Correction of Segmentation Errors

In most research that has dealt with the correction of spelling errors, the errors are caused by the misuse of space (deletion or insertion of space) are not tackled.Forgetting to deal with this type of errors in the texts poses a problem of understanding and ambiguity of the meaning of the sentence containing these errors.In this article, we propose a new approach to correct errors due to the insertion of space in a word, and at the same time correct other types of editing errors.This approach is based on the edit distance and uses bi-grams language models to correct words in context.The test conducted on hundreds of erroneous words (by insertion of space and/or by simple editing errors) made it possible to assess the relevance and validity of the methods developed to correct this type of error.The approaches proposed in this article provide a very important clarification and reminder by comparing them to those of other existing approaches.
VR Users Are More Relaxed and Optimistic during COVID Lockdown than Others

Numerous studies have shown how the confinement period linked to the health situation of COVID-19 (SARS-CoV2) has been psychologically destructive for many people. These psychological disorders are generally linked to confinement and isolation. At the same time, virtual reality tools are becoming more popular, the level of immersion in cheap HMD (Head Mounted Display) helmets today allows access to a satisfactory level of presence. Our theory, widely supported by substantial literature, is that the regular use of immersive Virtual Reality during periods of confinement could allow users to better endure the psychological constraints. We observed the correlation between the weekly use of HMD Virtual Reality headsets, during the COVID-19 confinement period and the levels of well-being of users. Our study involved n = 56 participants divided into two groups of users and non-users of HMD headset. They answered 2 SWEMWBS and ONS questionnaires plus a social trust question. The results show a significant correlation between the use of virtual reality headset during COVID-19 lockdown and the level of relaxation and optimistic feeling but also a correlation between this use of VR (Virtual Reality) HMD and the feeling of being less close to others during the same period.
THE CONTOUR OF PERINATAL EXPERIENCE

The article outlines perinatal experience as a specific state of subjective reality with formation of basic mental functions, sensory deprivation, partial body immobility and hypoxia. This state is characterized by: inactivity of will; absence of self-consciousness and sometimes even feeling of “self”; spontaneity of consciousness, dominance of protopathic cognitive processes over epicritical ones, spatial thinking over logical reasoning; absence of logical form in the information received; change of space-time continuum consisting in the phenomena of reversibility, slowing down and even full stop of time and uncontrolled flow of visual and/or acoustical experiences.
THE MAJOR ELEMENTAL COMPOSITION OF MIDDLE PALEOCENE SEDIMENTS OF SOUTHERN INDUS BASIN PAKISTAN: IMPLICATION ON PROVENANCE

The current study area is a northeastern part of Karachi arc and located in Lakhi Range and also the Southeastern part of Karachi arc which is Thar Desert. Present study is focused on Bara Formation with specifically source rock study, as it could be understand that from where these detritus were being supplied, either from Indian craton or Asian plate in Middle Paleocene time. These sediments are composed of Sandstone, Shale, Coal, and Siltstone with some traces of fossils. Ninety five samples of Middle Paleocene sediments from three localities (Ranikot, Lakhra and Thar) with five stratigraphic sections have investigated for geochemical elements identification. The studied sediments have been classified as Litharenite, Sublitharenite, arkose, Sub-arkose greywacke, Iron sand, Iron shale. PIA and CIA of studied section of basin had been facing low/low to high weathering conditions in source area. The majority of samples indicate the passive margin tectonic settings. Middle Paleocene sediments of Southern Indus Basin is concluded here as the sediments had been supplied from Indian shield rocks and it can be summarized that the Indian plate was not collided with Asia plate in Middle Paleocene time (61.6-59.2 million years age) at Southern Indus Basin of Pakistan.
AN OVERVIEW OF THE INTERGENERATIONAL FINANCIAL TRANSFERS IN ROMANIA

Intergenerational transfers are one of the most important and contentious aspects of modern welfare systems.In today's societies, financial transfers between adult generations in the family are an important part of the intergenerational link.They are important not only for the family as a whole -how it distributes its resources and ensures its members' well-being -but also for broader aspects such as welfare policy, social inequality, and social integration.The financial transfers are playing an important role in accumulation and distribution of the wealth.In consequence these financial transfers are important not only for the individuals, but also for the social aspects of the wealth redistribution.Using the dataset provided by Survey of Health, Ageing and Retirement in Europe (SHARE), we want to create the profile of the persons over 50 from Romania that give and receive financial aid.
Whole Language Approach Implementation as a Child Language Learning Model Development

This research was conducted to implement a holistic language approach (whole language approach) as a development model for students' language learning at SDN (Public School) 2 Sigli. This study uses a classroom action research method by providing action in each cycle starting from planning, acting, observing, and reflecting. This research was conducted at the Sigli 2 Public Elementary School. The subjects of this study consisted of 10 students consisting of 6 boys and 4 girls. The results of observations were processed through data analysis techniques with descriptive statistics, namely finding the percentage and average value of the improvement in Indonesian language skills obtained through observation, interviews and discussions, and document review. The results showed that the implementation of the whole language approach which includes immertion, demonstration, expectation, responsibility, employment, approximation, and feedback can improve students' reading ability. Based on the results of observations in the pre-cycle, the percentage of pre-cycle reading ability was still 30.25%. In the first cycle, after the action was carried out for 7 meetings, the percentage increased to 85.50%. Based on these data shows an increase in the percentage of reading ability from the results of pre-cycle observations by 55.25%. The implication of this research is that the whole language approach is expected to be used as the development of a language learning model at SDN 2 Sigli, because it is natural and fun and is the same age as the stages of student development.
Ontology-based Daily Menu Recommendation System for Complementary Food According to Nutritional Needs using Naïve Bayes and TOPSIS

Babies begin to be given complementary feeding at the age of 6 to 24 months.Complementary foods given to babies need to meet nutritional needs according to their ages.Since, at these ages, babies are just learning to eat, it is necessary to plan a complementary food menu referring to the nutritional needs and the baby and mother's preferences.It is certainly not an easy thing for a mother.Therefore, a recommendation system is needed to determine the baby's daily menu according to those all.This research proposes a complementary food menu recommendation system that considers the balanced composition of three significant nutrients (carbohydrates, protein, and fat) in the diet.It also takes into account the baby and mother's preferences.The ontology contains Knowledge-based about food and its nutritional content and the nutritional needs of babies according to their ages.Naive Bayes is used to prepare menu options according to user preferences.TOPSIS method is used in this study to provide optimal recommendations regarding nutritional balance and user preferences.Several mothers who have had babies aged 6-24 months and mothers of babies aged 6-24 months were asked to test the recommendation system.The results of the usability testing of the system using SUS showed a good level of user satisfaction.
Feature Extraction using Gaussian-MFCC for Speaker Recognition System

Voice is one of biometrics that is interesting to be analyzed. A voice from a person has a unique form. It cannot be identically produced twice or more. To extract this uniqueness, feature extraction is needed. One of the popular feature extractions is MFCC. The original MFCC uses triangular filter as its filter-bank. In this paper, the original filter-bank is compared with Gaussian filter-bank to obtain a better recognition output. For the decision, Euclidean distance and Manhattan distance are used. In this paper, the result shows that Gaussian filter-bank can substitute the original filter-bank of MFCC to reach a better result.
Role of Mobile Phones in Developing Motivation through Reading Activities in English Language Learners

This case study attempts to elucidate the effects that the use of mobile phones as tools for teaching reading have in fostering motivation in EFL students. Through the use of qualitative research techniques, the professor executes a set of activities in a reading techniques course for second-year English language learners; focus groups and questionnaires help gather the students' perceptions on their involvement, enjoyment, and investment; the atmosphere created during the implementation of the activities, and their overall experience. In conclusion, the ubiquity of cell phones provides advantages in the development of motivation towards learning English and in fostering independence.
A Novel Multimodal Biometric System using Face and FKP

Single modality based biometric authentication systems are suffered from some security issues such as inter-class variation, spoof attacks and so on.A multimodal biometrics system overcomes these security issues by fusion of two or more modalities of an individual.In this paper, a novel multimodal biometric system is proposed that integrates face and Finger Knuckle Print (FKP) at the feature level.An image transformation algorithm is applied on the face and FKP images at sensor level.Scale Invariant Feature Transform (SIFT) algorithm is used to extract the feature vector of the transformed images.These transformed feature vectors are used for further processing.KNN and SVM classifiers are used for classification at matching level.An image transformation technique secures the original biometric modalities of a person.The experimental work has been performed on public dataset with the help of MATLAB 2017b and result shows that proposed multimodal system outperform as compared with other.
Use of Acronyms and Slang among Adolescents on Social Media

This research is related to the use of acronyms and slang by teenagers in social media such as Facebook, Instagram, and WhatsApp. In this case, this research on the use of acronyms and slang in social media aims to find out the slang terms used by teenagers on social media and also describes a slang found in social media such as Facebook, Instagram, and WhatsApp. Then, it describes the meaning of slang contained in the social media and examples of slang sentences used by teenagers everyday on social media. This research is classified as a qualitative research type because in this research it tries to examine social phenomena in an atmosphere that takes place naturally and naturally. In analyzing the data, the researcher used qualitative methods with reading and documentation techniques. After that, some data can be found in the form of utterances or words that come from interactions between adolescents on social media. The results showed that, there were 25 examples of acronyms and 25 slang terms found by researchers in social media such as Facebook, Instagram and Whatsapp.
Election Assessment in Dekina Local Government Area of Kogi State Using Geographic Information System Based Approach

Geographic Information System based Approach to electoral mapping is an efficient platform that provides database useful for electoral officials to conduct elections, manage and analyze electoral dynamics.Dekina Local Government Area of Kogi State has recorded successions of election violence in some specific locations which has led to cancellation of election result in those areas, with challenges ranging from ballot stuffing, manipulation of result sheets, illegal creation of result sheet and a host of others.This study is aimed at using geographic information-based approach to monitor elections in Dekina Local Government Area of Kogi State.The objectives include; to digitize the required existing map of the study area, to generate thematic datasets needed for the study, to create a robust electoral database and conduct spatial and attribute queries that will show the potential of GIS in election monitoring within Dekina Local Government Area of Kogi State.The methodology employed in this study involved the conversion of analogue map to digital map which also involved the process of scanning, georeferencing, digitizing, geodatabase creation and query generation.The result obtained are the depiction of the spatial location of polling units within the study area, query result showing polling units with voter population above 500, 1000 and 2000 respectively, the depiction of polling units with records of violence that led to the cancellation of election result in the 2019 Presidential/House of Assemblies election.The study was able to find out that there are no polling units around Ochigi, Olaji at Ojikpalada ward in Dekina LGA.It was also able to find out that, just 20% of the entire population of Anyigba occupants is registered voters.This study was able to recommend that more polling units should be created at Ochigi, Olaji at Ojikpalada ward and also, more voter education and sensitization be carried out at Anyigba to increase voter population and create election awareness.
Web-Based System for Bali Tourism Sentiment Analysis during The Covid-19 Pandemic using Django Web Framework and Naive Bayes Method

The province of Bali, which relies heavily on the tourism sector, is certainly affected by the Covid-19 pandemic.The various policies taken by the Bali Provincial Government in order to break the chain of the spread of Covid-19 always experience pros and cons in the community.The data from the analysis of public opinion on social media can be used as feedback to the government.The results of the analysis of social media data can be used as consideration for formulating more targeted policies.Analyzing public opinion on social media is not an easy thing.The challenges of processing opinion data from social media include the large amount of data that requires high costs such as time and effort if you have to analyze it manually one by one.The problem is complicated by dirty opinion data because it does not use standard language.In this study, a web-based system was developed to analyze Bali tourism sentiment using the Naïve Bayes method.The web-based system was developed with the Django web framework with a waterfall software development model.Based on performance testing, the Naive Bayes method can perform sentiment classification very well, which is indicated by an accuracy value of 81,70% and an f-measure value of 82,02%.From the results of sentiment analysis related to the topic of Bali tourism during the COVID-19 pandemic, the classification results obtained 65.67% of tweet data with positive sentiment and 34.33% of tweet data with negative sentiment from a total of 2377 tweet data collected in the period March 1, 2020 to March 1 2021.
Django Based E-Learning Website

Abstract: In this modern world technology is expanding in each and every sector of society. And growth of technology in education system is important which has led to growth and more use of e-learning via different websites. E-learning helps student to access and store data virtually so that it can be easily used irrespective of someone’s location. Through this various elearning portals it becomes easier for teacher to provide data to a lot of students remotely. Technology used to design this elearning site is python and django.It will allow new user to register them self and existing one can login using their respective ids and password. Teacher can easily interact with students using this e learning platform and also track student performance by organizing various quizzes. Users can also enrollee in different courses at a same time and can view the different content available on site easily. This project helps students to enrollee in various free courses and learns new skills by taking a course of their choice .The main focus of this project is not only to provide free courses to students but also to provide a platform to teachers where they can teach many students and provide them knowledge regarding a particular course. Keywords: Django, python, html, javascript, CSS
Influence of Digital Medium on the Construction of New Interdependencies between Text and Im

The difference between word and image, known from the analogue culture, ‘breaks down’ at the level of generating digital transmission − in the Internet media, web applications, websites, web browsers. The suggested identity of the ‘material’ aspect of writing and image, defined as the assignment of digits to both, finds its consequences at the operational level, that is, in means of communication.
Unification types in Euclidean modal logics

Abstract We prove that $\textbf {K}5$ and some of its extensions that do not contain $\textbf {K}4$ are of unification type $1$.
CORRELATION BETWEEN PARENTING PATTERNS AND INDEPENDENCE IN LEARNING ON LEARNING OUTCOMES TO FOURTH GRADE STUDENTS OF PUBLIC ELEMENTARY SCHOOLS IN CLUSTER 2, CIPONDOH SUB-DISTRICT, TANGERANG CITY IN THE ACADEMIC YEAR OF 2019/2020

&lt;p&gt;&lt;strong&gt;&lt;em&gt;Abstract&lt;/em&gt;&lt;/strong&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt;The study aimed to determine positive correlation between parenting patterns and &lt;/em&gt;&lt;em&gt;independence in &lt;/em&gt;&lt;em&gt;lear&lt;/em&gt;&lt;em&gt;ning on &lt;/em&gt;&lt;em&gt;learning outcomes to fourth grade &lt;/em&gt;&lt;em&gt;students of public elementary schools in cluster 2 in Cipondoh Sub-district Tangerang City in academic year of 2019/2020&lt;/em&gt;&lt;em&gt;.&lt;/em&gt;&lt;em&gt; &lt;/em&gt;&lt;em&gt;It was correlational quantitative method. Sampling method was a simple random sampling technique. &lt;/em&gt;&lt;em&gt;The researcher used the SPSS application in analyzing regression, multiple correlation, and classical assumption test of data. &lt;/em&gt;&lt;em&gt;The results showed that (1) the value &lt;/em&gt;&lt;em&gt;of correlation coefficient &lt;/em&gt;&lt;em&gt;between parenting patterns on learning outcomes was 0.344 and the determination coefficient was 11.9%; (2) the value &lt;/em&gt;&lt;em&gt;of correlation coefficient &lt;/em&gt;&lt;em&gt;between independence in learning on learning outcomes was 0.315 and the determination coefficient was 9.97%; (3) the value &lt;/em&gt;&lt;em&gt;of correlation coefficient &lt;/em&gt;&lt;em&gt;between parenting patterns and independence in learning on learning outcomes was 0.391 and the determination coefficient was 15.3%.&lt;/em&gt;&lt;em&gt; &lt;/em&gt;&lt;em&gt;It concludes that there is positive correlation between parenting patterns and independence in learning on learning outcomes to fourth grade &lt;/em&gt;&lt;em&gt;students of public elementary schools in cluster 2 in Cipondoh Sub-district Tangerang City in academic year of 2019/2020&lt;/em&gt;&lt;em&gt;.&lt;/em&gt;&lt;/p&gt;