Reviewerly/exHarmony huggingface dataset:
WhatsApp Group Application: Increasing or Decreasing The Closeness

The contestation of presidential elections tends to color the content of public talks.This includes students from the Faculty of Social and Political Sciences, at Halu Oleo University, which is channeled through WhatsApp Group (WAG).Differences in the choice between users often lead to conflict.Therefore, this article aims to describe the merger and number of WAGs that are followed, conflicts that occur in the WAG, acts of leave groups conducted by WAG members, as well as comments given after the leave group event by one of the members related to the conflict.The method used in this study is using the quantitative descriptive method, where data is collected through questionnaires to 201 respondents as samples, observations, and interviews to selected samples.The results showed that most students attended a number of WAGs.In some WAGs that followed, there were conflicts relating to presidential elections which led to the leave group action conducted by WAG members.The debate and conflict that occurred on the WhatsApp group, showed that as a communication media, WhatsApp Group had a role in increasing, while reducing the level of closeness among group members.Even though the initial goal of group formation was based on the desire to establish closer communication between members who were friends and partners.The awareness of members on the initial purpose of forming WAG is expected to minimize possible conflicts in the WAG, so that the conditions of relations between members can be harmonious
Hypertension risk modeling using penalized spline estimator approach based on consumption of salt, sugar, and fat factors

Hypertension is one of the health problems that arise without symptoms. It means that emergence factors of symptoms of hypertension cannot be known certainty. There were some previous researchers who pointed out that the risk factors of hypertension can be caused by overweight (obese), heredity, age, and history of family's life. However, according to study run by World Health Organization (WHO) in 2013, risk factors of hypertension may also be caused by the consumption of fatty acids, saturated fat, salt and sugar. In that research, WHO used parametric regression model approach. So, this model cannot accommodate locally behavior of risk factors. Therefore, in this research, we propose analysis methods by using both parametric logistic regression and nonparametric logistic regression models approaches that can accommodate locally behavior of risk factors. In this research, to model hypertension caused by consumption of salt, sugar, and fat we use link function of logit in parametric logistic regression and use penalized spline estimator in nonparametric logistic regression. The results show that classification accuracy based on nonparametric logistic regression is 90.7% and based on parametric logistic regression is 65.6%. It means that for modeling the risk of hypertension based on consumption of salt, sugar, and fat, the use of penalized spline estimator of nonparametric logistic regression is better than that of logit link function of parametric logistic regression.
KEMAMPUAN MENULIS CERITA FANTASI SISWA KELAS VII SMP NEGERI 1 KONAWE SELATAN KENDARI

Abstract : The problem in this research is how is the ability to write fantasy stories in class VII Students of SMP Negeri 1 Konawe Selatan?.The purpose of this study was to describethe ability to write fantasy stories in class VII Students of SMP Negeri 1 Konawe Selatan . The type of research used is classified as field research. The method used in this research is quantitative descriptive method. The population in this study were seventh grade students of SMP Negeri 1 Konawe Selatan in the academic year 2017/2018 with a total of 237 students. The sample in this study were 149 students using the proportionate stratifed ramdom sampling technique. The instrument used to collect data in this study is the ability to write fantasy stories given to students in the form of written tests. Based on the results of the study The ability to write fantasy stories of class VII students of SMP Negeri 1 Konawe Selatan, it can be explained that from 149 students who were individually sampled there were 72 students (48.32%) in the capable category and 77 students (51.67%) in the category of incompetent. It can be concluded that the seventh grade students of Konawe Selatan Middle School 1 in writing fantasy stories were categorized as incapable. That said, because classically the ability to write fantasy stories of class VII students of SMP Negeri 1 Konawe Selatan only reached 48.32% did not reach the classical completeness criteria of 85%. This can be seen from the acquisition of scores obtained by the seventh grade students of South Konawe 1 Junior High School in writing fantasy stories which included aspects of content suitability with titles (89.26%), orientation (83.89%), complications (54.36%) , resolution (46.97%), there are oddities or miracles in the story (45.63%), unique characters (46.30%), use of pronouns (89.93%), use of words / expressions of surprise (42 , 95%), the use of time sequence conjunctions (85.23%), and the use of direct dialogue / sentences in stories (30.20%). From all aspects assessed there are three aspects that are categorized as capable, namely the conformity of the contents with the title, the use of person pronouns and the use of time sequence conjunctions.Keywords: ability; fantasy stories; writing
Vietnamese Multi-Grained Named Entity Recognition

This paper presents Vietnamese Multi-Grained Named Entity (VMGNER), which is a modified approach from the latest Multi-Grained Named Entity Recognition model. This model is not only effective in recognizing overlapping entities but also the non-overlapping entities. This method is different from the conventional approaches which consider NER as sequential tagging. It defines the entities by their length which the maximum length is six. VMGNER consists of two components, that are Detector, taking responsibility of detecting two kinds of Named Entity, and Classifier, classifying those entities into different categories. This model applies the contextual embeddings of BERT, attention mechanism and Focal Loss to improve the performance. The experiment shows the outstanding result in recognition of non-overlapping and nested named entities in Vietnamese.
Design of An Automatic Follower Shopping Trolley Based on Image Processing

In the era of industrial revolution 4.0, all human activities are replaced by machines. Humans are required to optimize brain function than muscle function. All human work is facilitated by robots or tools work automatically. For example, shopping activities in the modern market. Consumers prefer to shop in the modern market than the traditional market, because the items are complete, neatly arranged, and they have facilities like trolleys as transporters. Trolleys can be pushed and pulled easily. But when shopping, parents have a problem with pushing or pulling a trolley when they carrying their children. Therefore, we created a design for automatic follower shopping trolley based on image processing which can follow the consumers when shopping. This trolley has a webcam camera as a sensor to take pictures of the objects or special accessories that used by consumers. The result of data are processed in such a way and then it will be obtained the x and y coordinates positions of the consumer and the next data will be sent to the Raspberry Pi 3 which will automatically determine the movement of the trolley. The test results showed that the distance range detected between trolleys and consumers ranged from 0.5 meters to 2 meters, and trolleys can move according to the point where the object was detected. Thus, the trolley can follow the user well.
THE EFFECT OF KEEPING VOCABULARY NOTEBOOK ON STUDENTS’ VOCABULARY ACHIEVEMENT AT THE SECOND GRADES IN SMP N 2 RAHA

This study investigated the effect of keeping vocabulary notebooks on students’ vocabulary achievement at the second grade in SMPN 2 Raha. The purpose of this study is to find out a significant effect after keeping vocabulary notebook on students’ vocabulary achievement. This study applied quantitative research design. This study used vocabulary notebook as a treatment in learning process for the students. The subject of this study was second grades students of SMPN 2 Raha who were registered in academy year 2017-2018. The technique of taking sample of study was purposive sampling. The sample of this study was class VIII2 as an experimental class and class VIII1 as a control class. The instrument of this study was vocabulary test consist of 30 numbers, the result showed that there was not a significant effect of keeping vocabulary notebooks on students’ vocabulary . It was not proved with the improvement of students were the students more active in the classroom rather than the teacher. Students can discover the new words by themselves on the learning activities. the result of students’ vocabulary test was supported with the mean score in post-test of experimental class is higher than the mean score in the post-test of control class. The mean score for the post-test in experimental class was 82.15 and the mean score for post-test in control class was 79.36. but the data was not distributed normally, the analysis of the data was used the non parametric analysis and the result of Mann Whitney non parametric analysis, the value of Sig 2-tailed = 0.57 with α 0.05. it means that H0 is accepted. It is because the value of Asymp sig 2-tailed is above the alpha (a) value. This result showed that there was not a significant effect of using vocabulary notebooks on students’ vocabularu achievement at the second grades in SMP Negeri 2 Raha. Keywords: Effect,Vocabulary Notebooks,Learning Activities,Vocabulary Achievement.
Multi-task Causal Learning with Gaussian Processes

This paper studies the problem of learning the correlation structure of a set of intervention functions defined on the directed acyclic graph (DAG) of a causal model. This is useful when we are interested in jointly learning the causal effects of interventions on different subsets of variables in a DAG, which is common in field such as healthcare or operations research. We propose the first multi-task causal Gaussian process (GP) model, which we call DAG-GP, that allows for information sharing across continuous interventions and across experiments on different variables. DAG-GP accommodates different assumptions in terms of data availability and captures the correlation between functions lying in input spaces of different dimensionality via a well-defined integral operator. We give theoretical results detailing when and how the DAG-GP model can be formulated depending on the DAG. We test both the quality of its predictions and its calibrated uncertainties. Compared to single-task models, DAG-GP achieves the best fitting performance in a variety of real and synthetic settings. In addition, it helps to select optimal interventions faster than competing approaches when used within sequential decision making frameworks, like active learning or Bayesian optimization.
An Interactive System for Knowledge Graph Search

Recent years, knowledge graphs (KG) have experienced rapid growth since they contain enormous volume of facts about the real world, and become the source of various knowledge. It is hence highly desirable that the query-processing engine of a KG is capable of processing queries presented in natural language directly, though these natural language queries bring various ambiguities. In this paper, we present \(\mathsf {KGBot}\), an interactive system for searching information from knowledge graphs with natural language. \(\mathsf {KGBot}\) has the following characteristics: it (1) understands queries issued with natural languages; (2) resolve query ambiguity via human-computer interaction; and (3) provides a graphical interface to interact with users.
Usage of Posts

The ideal management of a severely damaged tooth structure with any sort of periapical or pulpal pathology is dependent on a definitive and careful endodontic treatment as well as on a good and strong prosthodontic management which should be tried to be accomplished by all clinicians.Majority of the teeth which have undergone pulp extirpation and subsequent treatment are weak structurally and require an endodontic post and core build system for adequate functionality as well as aesthetics.Amongst all the available options for post and core systems, the decision to select an appropriate one can be challenging to the clinicians.If a tooth has lost significant coronal structure due to underlying caries or any sort of pulpal pathology, it is important to treat it endodontically also equal attention should be paid to its restoration to its anatomic form and function.However when sufficient remaining tooth substance is present, there no need of a post and the tooth can be endodontically treated with a prosthetic crown for its restoration.If a tooth has lost most of its tooth structure, it definitely necessitates the use of a post.The function of a post is to help retain a core which will provide structure and support to the future crown.An endodontic post not only provides strength and support to the remaining crown structure by retaining the core but also to the radicular part of the tooth.The more the tooth structure is preserved, the lower is the risk of catastrophic failures for that tooth.Posts which are pre -fabricated have numerous options from material aspect.This review article emphasizes on the various parameters to be considered before planning an endodontic post for a tooth.
Steve Dobrogosz's 'When Lilacs Last in the Dooryard Bloom'd': A Conductor's Perspective

Swedish composer Steve Dobrogosz (b. 1956) is primarily known for his jazz piano and songwriting career, having been an influential figure in the Stockholm musical scene since the 1980’s. Eventually he began to explore traditional notated composition and, following the international success of his Mass (1992) for choir, piano, and strings, Dobrogosz’s compositional style became more refined while retaining its exploratory nature. His compositions currently number in the thousands, including significant choral/orchestral works like the Requiem (2001), Christmas Cantata (2003), Stabat Mater (2012), and When Lilacs Last in the Dooryard Bloom’d (2000). Dobrogosz is a master of creating full, luxuriant sonic textures that require careful treatment of text. This document is an analysis of Steve Dobrogosz’s choral/orchestral setting of Walt Whitman’s pastoral elegy When Lilacs Last in the Dooryard Bloom’d. Contained within the paper are sections covering biographical information of the both the composer and the poet Walt Whitman, Dobrogosz's compositional approach and style, and a detailed musical analysis of each of the six movements that dissects form/thematic structure, tonality, texture, thematic construction, meter/rhythm, and harmony. The analysis pays particular attention to the synthesis of Walt Whitman’s unmetered free verse and Dobrogosz’s lyrical melodic constructions, illustrating Dobrogosz’s masterful handling of complicated poetic material.
Subject Guides: Submitting Electronic Theses and Dissertations (ETDs): American University Digital Research Archive (AUDRA)

This guide provides guidance for American University students who are required to submit their theses or dissertations electronically. IMPORTANT NOTE: links to AU's official ETD Submission and Style Guide and templates are located under the HOME tab below
Technologies for the Formation of Axiological Orientations of Future Kindergarten Educators

The article provides characterization of&nbsp; the problems of increasing requirements for teachers of the system of primary vocational education, namely for an instructor of vocational training in «Food technology». The complex of difficulties an instructor of vocational training has in the workplace has been specified. The author has identified the reasons for their lack of teacher training, and has substantiated the need to improve vocational training competence. The work claims that the success of an instructor of vocational training is determined by the assistance they receive in the workplace, at educational institutions, when overcoming professional pedagogical difficulties. Professional and pedagogical competence of an instructor of vocational training in «Food technology» is defined as an integral set of knowledge, skills, abilities and qualities of a person that allow to successfully carry out educational and vocational training of future caterers. It has been argued that the improvement of professional and pedagogical competence of an instructor of vocational training should be realized in the course of their professional activity. A model has been offered in order to solve the problem of improving professional and pedagogical competence of an instructor of vocational training in «Food technology».
Corpus of Usage Examples: What Is It Good For?

Lexicography and corpus studies of grammar have a long history of fruitful interaction. For the most part, however, this has been a one-way relationship. Lexicographers have extensively used corpora to identify previously undetected word senses or find natural usage examples; using lexicographic materials when conducting data-driven investigations of grammar, on the other hand, is hardly commonplace. In this paper, I present a Beserman Udmurt corpus made out of "artificial" dictionary examples. I argue that, although such a corpus can not be used for certain kinds of corpus-based research, it is nevertheless a very useful tool for writing a reference grammar of a language. This is particularly important in the case of underresourced endangered varieties, which Beserman is, because of the scarcity of available corpus data. The paper describes the process of developing the Beserman usage example corpus, explores its differences compared to traditional text corpora, and discusses how those can be beneficial for grammar research.
Impact of Bricolage on Organizational Innovation Through Recognition of Opportunities

Although several studies have presented bricolage as a method in the context of new projects to address resource limitations, none have specifically explored the effects of bricolage to find potential on organizational innovation prospects within the context of recognition of opportunity. The purpose of this research is to identify how the bricolage effect on organization innovation through the recognition of opportunities. The prior study was adopted a causal and comparative design of a quantitative approach while a cross-sectional survey technique is determined to gather data by questionnaire. A simple random sampling technique is adopted to select 242 employees of various Chinese organizations who are working in Pakistan. Descriptive statistics, Pearson correlation, ANOVA, and simple linear regression is regressed to analyze the data through inferential statistical techniques. The results of the study showed there is no substantial change of bricolage on organizational innovation by recognition of opportunities based on the number of staff, year of initiation, and position of the employee. However, it is suggested that organizations should hold training and conferences to raise awareness among workers about the recognition of opportunities and their benefits. This study could be useful to decision-makers, Chinese, and resident investors who plan to invest in Pakistan. Investors can take benefit from understanding the local economy and organization innovation by recognition of opportunities.
Improving Medical Annotation Quality to Decrease Labeling Burden Using Stratified Noisy Cross-Validation.

As machine learning has become increasingly applied to medical imaging data, noise in training labels has emerged as an important challenge. Variability in diagnosis of medical images is well established; in addition, variability in training and attention to task among medical labelers may exacerbate this issue. Methods for identifying and mitigating the impact of low quality labels have been studied, but are not well characterized in medical imaging tasks. For instance, Noisy Cross-Validation splits the training data into halves, and has been shown to identify low-quality labels in computer vision tasks; but it has not been applied to medical imaging tasks specifically. In this work we introduce Stratified Noisy Cross-Validation (SNCV), an extension of noisy cross validation. SNCV can provide estimates of confidence in model predictions by assigning a quality score to each example; stratify labels to handle class imbalance; and identify likely low-quality labels to analyze the causes. We assess performance of SNCV on diagnosis of glaucoma suspect risk from retinal fundus photographs, a clinically important yet nuanced labeling task. Using training data from a previously-published deep learning model, we compute a continuous quality score (QS) for each training example. We relabel 1,277 low-QS examples using a trained glaucoma specialist; the new labels agree with the SNCV prediction over the initial label >85% of the time, indicating that low-QS examples mostly reflect labeler errors. We then quantify the impact of training with only high-QS labels, showing that strong model performance may be obtained with many fewer examples. By applying the method to randomly sub-sampled training dataset, we show that our method can reduce labelling burden by approximately 50% while achieving model performance non-inferior to using the full dataset on multiple held-out test sets.
THE EFFECT OF THREE PHASE TECHNIQUE ON STUDENTS’ READING COMPREHENSION

The objective of the study is to know whether or not three phase technique has significant effect on students’ reading comprehension. The design of this study was quasi experimental research. The population of the study were students who were taking Reading 1 class in English study program at Halu Oleo University in academic year of 2016-2017. By employing purposive sampling technique the researcher chose class A as the sample of this study. Instrument of study was reading comprehension test in form of multiple choices questions. The result of this study confirmed that the teaching reading by using three phase reading technique could give significant effect on the students’ reading comprehension. Based on the Paired Sample Test, it was found that there was a significant difference of students’ reading comprehension score before and after they were given treatment by using three phase reading technique procedure in Reading 1 class with the significant degree of 0.013. Furthermore, there was also significant improvement in students' mean score (79.78). Therefore, the proposed hypothesis which stated “three phase reading technique has significant effect on students’ reading comprehension” was accepted. Keywords: Three Phase Technique, Reading Comprehension