Reviewerly/exHarmony huggingface dataset:
Design Of Dental Police Patient Service Information System at Upt Puskesmas Talagabodas Bandung: Design Of Dental Police Patient Service Information System at Upt Puskesmas Talagabodas Bandung

The era of globalization and information will have created new standards that must be met by all players in this sector, no exception in the health care sector. The increasingly rapid development of technology also has an impact on all layers of business, whether it be a company, an institution, or an agency that is large or small in scale so that the information system supported by proper data processing is proven to be able to accelerate performance which in the end will generate great benefits for society.This study aims to determine the design description of the information system for dental services at the UPT Puskesmas Talagabodas Bandung. The research methods used in this study are qualitative research methods and data collection techniques, by means of observation, interviews, and web searches. Meanwhile, the software development method used is the waterfall method.From the research that has been carried out, it was found that there are several problems related to the service of polygene patients, (1) Patient care for polygygies is still done manually so that it consumes a lot of time. (3) There is no report for the reference given. Solutions to problems that exist in the current system, including: (1) The need for the development of information systems and data sources regarding information systems services, especially in polygyny services such as the information system that the author designed. (2) It is better if a centralized storage system is to be carried out in order to make it easier to control recorded documents and integrate them with other services (3) Consider and develop a back-up information system to meet each patient's need for service-service activities.
Real-World Language Use With Familiar Versus Unfamiliar Interlocutors in Young and Older Adults

Abstract Real-world contexts may compensate for age-related changes in language production. We compared age effects on vocabulary richness (i.e., entropy) and grammatical complexity (i.e., clause length) in conversations with familiar interlocutors (i.e., significant other, friends, family members) versus with strangers. We collected thousands of 30-seconds speech samples from 61 young and 48 healthy older adults across four days using a portable audio recording device — the Electronically Activated Recorder (EAR). Bayesian multilevel analyses showed that participants used richer vocabulary and more complex grammar with familiar interlocutors than strangers. Young adults used richer vocabulary than older adults. Furthermore, older adults produced equally complex grammar with the significant other as young adults did, but simpler grammar with friends and family members. We found no age group differences in grammatical complexity with strangers (lacking statistical power). In sum, familiarity with the significant other may benefit older adults in producing complex grammar in real-world conversations.
Creation of a Software Development Team in Scrum Projects

A project team is one of the most important elements of the success of software development projects and company maturity in total. Effective use of agile project management approaches requires a highly qualified, motivated, cross-functional project team. The work is devoted to the analysis of approaches that allow forming of a development team taking into account the principles and values of Scrum, as well as provide an opportunity to assess the effectiveness of the team at the stage of selecting candidates and teaming them. The problem of a software development team creation is formalized in the work. The analysis of the selection conditions of candidates was provided. The express method of a team creation to create a development team that meets the requirements of a Scrum project, values, and principles of Scrum, to analyze in terms of compliance with team properties and project requirements, and provides a formal approach to further team management is offered
SIKAP BAHASA SISWA KELAS XI SMA NEGERI 1 GEUMPANG TERHADAP BAHASA INDONESIA

The aim of this study was to describe the language attitudes of XI grade students of State Senior High School 1 Geumpang towards the Indonesian language. The total number of students in grade XI students of the school for the 2019/2020 school year was 120 students. As many as 30 students were chosen as research respondents by using a random sampling technique. This research used a quantitative descriptive approach. The data were collected using questionnaires distributed to students. The data obtained from the questionnaires were analyzed by using the Likert Scale to measure attitude, with answer categories ranging from Strongly Agree (SA), Agree (A), Doubt (D), Disagree (DA), and Strongly Disagree (SD). All data obtained from the questionnaires were coded to facilitate the data analysis. The data processing was carried out in several stages, i.e. compiling the questions in the questionnaire, asking students to fill out a questionnaire, and analyzing the data. The data were classified into two groups, i.e. positive and negative attitudes. The results revealed that grade XI students of State Senior High School 1 of Geumpang showed a positive attitude towards the Indonesian language.
Research on the Big Data Intelligent Application

Abstract In order to improve the big data intelligent application ability based on network information system, the big data intelligent application mode with advanced system, unified standard and efficient service is constructed from different dimensions and levels, and the direction for the overall technology and system development of the big data intelligence application is pointed out.
Correction to: Batch mode active learning via adaptive criteria weights

A correction to this paper has been published: https://doi.org/10.1007/s10489-020-02146-9
Constraining and Enabling Factors in the Use of ICT in Rural Schools in Nepal

The OLE-Nepal project has deployed over 6,500 XO laptops in schools in Nepal, pre-installed with materials designed to support the national curriculum. This has raised hopes that technology can transform the quality of education available in remote regions. In order to investigate if and how the technology can have this impact, a case study was carried out which gathered detailed data on the use of the computers in three schools in contrasting remote rural areas of Nepal. The principal data collection methods were interviews, focus groups, classroom observations, and questionnaires. The results show that the effectiveness of technology in transforming schools is strongly dependent on local conditions and practices. This paper identifies constraining and enabling factors which can be identified in the case study data: infrastructure, classroom management, gender, and teacher motivation and training.
Dialog-based Help Desk through Automated Question Answering and Intent Detection

Modern personal assistants require to access unstructured information in order to successfully fulfill user requests. In this paper, we have studied the use of two machine learning components to design personal assistants: intent classification, to understand the user request, and answer sentence selection, to carry out question answering from unstructured text. The evaluation results derived on five different real-world datasets, associated with different companies, show high accuracy for both tasks. This suggests that modern QA and dialog technology is effective for real-world tasks.
EXTERNAL IMAGE OF THE МODERN LIBRARY AS A STRATEGIC TASK OF ITS MANAGEMENT

Introduction. In modern scientific research of the social communications in general and the library science in particular, the issues of forming the image of the modern library in accordance with the requirements of the today's life have recently become relevant. Purpose and methods. The purpose of the study is to consider the features and components of the external image of the modern library and develop recommendations for its improvement. The traditional set of general scientific principles (determinism, reflection, unity of opposites) and methods (formal-logical, conceptual and functional analysis, content analysis, synthesis, abstraction, etc.) are used to solve the research tasks. Results. The article elucidates the fundamental qualities of the library's image. The system of factors influencing the image of the modern library is determined. The components of the external image of the library are analyzed and recommendations for its improvement are highlighted. Conclusions. A positive image is the result of the effective activities, covering processes from the study of the public opinion, inquiries of the library service users, which should be based on the serious social research, to the implementation of these inquiries by influencing both employees and service consumers. It is impossible to separate from the previous image; it is necessary to provide its radically new interpretation. That is why the formation of the image of a modern library is appropriate to make on the basis of the clear positive components of the existing database with the addition of the new characteristics that meet modern realities that need to be rethought, interpreted within a new image concept.
From “Before” to “After”: Generating Natural Language Instructions from Image Pairs in a Simple Visual Domain

While certain types of instructions can be com-pactly expressed via images, there are situations where one might want to verbalise them, for example when directing someone. We investigate the task of Instruction Generation from Before/After Image Pairs which is to derive from images an instruction for effecting the implied change. For this, we make use of prior work on instruction following in a visual environment. We take an existing dataset, the BLOCKS data collected by Bisk et al. (2016) and investigate whether it is suitable for training an instruction generator as well. We find that it is, and investigate several simple baselines, taking these from the related task of image captioning. Through a series of experiments that simplify the task (by making image processing easier or completely side-stepping it; and by creating template-based targeted instructions), we investigate areas for improvement. We find that captioning models get some way towards solving the task, but have some difficulty with it, and future improvements must lie in the way the change is detected in the instruction.
Case Study 2: Writing Stuff for the Real World

Academic writing is highly specialized and requires the writer to communicate to a (relatively small) group of his or her scientific peers at a conference or in a scientific journal. While the research results may have important messages for the public, for businesses, policy makers, and practitioners, these journal articles are often not accessible nor understandable for persons outside of the discipline (Cheung, 2018). Researchers may be required to write lay summaries or media reports of their work, but all too often these are poorly done—almost to the level of disrespecting the very people they might be trying to reach. In this case study, we present a simple framework for writing your research in a way that will help you to reach a wider audience.
A Study on the Correlation among Cultural Adaptation Stress, Academic Motivation, Korean Excellence and Academic Achievement of International Students Residing in Korea: Focusing on International Students from China and Vietnam

The purpose of this study was to present a plan to systematically help international students to successfully study abroad by empirically analyzing the relationship between cultural adaptation stress, academic motivation, Korean excellence, and academic achievement of international students in Korea. To this end, a questionnaire survey was conducted for international students in three regions from November 15 to December 5, 2019, and a multiple regression analysis was conducted using 279 of the total 300 copies as analysis data for this study. As a result of this study, first, cultural adaptation stress had positive(+) and negative(-) effects on academic motivation and Korean excellence. Second, cultural adaptation stress partially negative(-) on academic achievement. Third, Korean excellence had a positive(+) effect on academic achievement.
IMPROVING STUDENTS 'CONFIDENCE IN SPEAKING THROUGH SIMULATION METHOD

The aim of this study is to improve students' confidence in speaking (Speaking) through Simulation methods for grade 9.1 students at SMP Negeri 3 Pringsewu. This study is a collaborative  action research (CAR) with two cycles. Researchers used questionnaires and observations which were then triangulated. The data analysis technique uses a comparative descriptive analysis. After being given treatment in cycle I and II there were 31 (86%) students who had high self-confidence, 3 (8.4%) students of the total number of students who had low self-confidence, and 2 (5.6%) students of the total who still had low self-confidence.
Metric Methods in Computer Vision and Pattern Recognition

Since its inception, the notion of metric finds numerous applications not only in various domains of mathematics but also in computer science. Some special metrics (like Hausdorff metric on sets, Fréchet metrics on the set of curves, the Kantorovich metric on the set of probability measures as well as their versions and modifications) allow for obtaining quantitative estimations of dissimilarity between objects of different nature, in particular, images or sets of data. Comparison of objects is used in computer vision for evaluation of the accuracy of classifiers, search for objects by template, handwriting recognition. Therefore, we provide a survey of literature on the subject focusing on results concerning Fréchet metrics on the set of trees (in particular, curves) in metric space obtained by the authors. These metrics have their modifications called the Gromov-Fréchet metrics and they are defined on the isometry classes of (nonrooted) trees in metric spaces. In particular, we prove that the obtained space of trees is separable and non-complete. The consideration of the paper concern the quality of segmentation of objects that are presented in the form of polygons. Comparison of objects is based on the Fréchet metric between trees.
MaskADNet: MOTS Based on ADNet

In this paper, we aim to perform multi-object tracking and segmentation (MOTS) of moving objects in traffic video datasets. A novel method for tracking multiple objects is proposed, which uses masked images as input for training ADNet [39], and we name it as MaskADNet. Segmentation mask prior for tracking using only foreground instances has shown significant improvements in tracking performance. Better online update using masked images and reduced tracking failures help achieve 10.57% and 12% increase in precision and success rates over the previous approach [2]. The segmentation masks obtained after tracking using MaskADNet have a better Jaccard index or Intersection over Union for masks. The network also achieves improvements in association of tracks with detection or re-identification of lost targets in multi-object tracking scenarios, with minimal changes in identity. The proposed method of tracking has shown that tracking using segmentation masks can achieve significant improvements for multi-object tracking and segmentation.
The experience of organizing a problem solving lecture in the middle of the twentieth century

The manuscript deals with organizing a problem solving lecture. It describes the experience of higher schools lecturers of the Eastern Ukrainian region in the middle of the twentieth century (the 50-60s). The research is significant because Ukraine seeks to raise the level of higher education and academic staff of the Universities is looking for appropriate forms and methods teaching in order to increase the efficiency of the organization of the student learning process. As leading teachers of the previous period have positive experience of organizing a problem solving lecture it may be useful to study it. The purpose of the article is generalizing features of the problem solving lectures on the basis of the analysis of positive experience of organizing them in higher schools of the Eastern Ukrainian region in the middle of the twentieth century (the 50-60s). The used research methods were general theoretical ones, namely analysis and synthesis of scientific sources under investigation as well as the historical retrospective method applied in historical investigation. The results revealed that lectures, which took more than 50% of time, played one of the most important roles in the organization of the educational process of Universities. Problem solving lectures were a priority for leading lecturers as they had a number of advantages. They are the following: 1) the problem solving lectures were the most economical way of learning; 2) they demonstrated to be efficient as for perception of educational material by students; 3) such lectures could be supposed as one of the most efficient ways of forming worldviews and principles; 4) they were a tool of intensification of students’ cognitive activity; 5) such lectures motivated students to active listening and participating in the lecture organization; 6) they were realized more accurately, remembered better and gave food for individual further thought. The prospects for further research may become practical, laboratory, seminar and other types of classes based on problem solving method, which were widely used together with the lectures during the studied period.
ANALISIS SENTIMEN PT TIKI JALUR NUGRAHA EKAKURIR (PT TIKI JNE) PADA MEDIA SOSIAL TWITTER MENGGUNAKAN MODEL FEED FORWARD NEURAL NETWORK

In the 2000s until now, e-commerce systems have continued to develop throughout the world and even in Indonesia. PT Tiki Jalur Nugraha Ekakurir (PT Tiki JNE) is a freight forwarding company that provides convenience for the public in carrying out online shopping activities, and shipping other goods. The large volume of shipments makes PT Tiki JNE have several problems in service that have led to several kinds of responses from users. Sentiment analysis on Twitter social media can be an option to see how PT Tiki JNE’s users respond to services that have been provided. These responses are classified into positive sentiments and negative sentiments. In this research data processing is performed using text mining as the initial source of numerical data from document data which will later be classified using the Artificial Neural Network model with the Resilient Backpropagation algorithm. Data labeling is done manually and sentiment scoring. The test results show that the best model obtained is FFNN 867-7-1 by using the evaluation model 10-Fold Cross Validation to get an overall accuracy performance of 80.27%, kappa accuracy of 39.13%, precision of 69.04%, recall of 70.56%, and f-measure of 69.8% which can be interpreted that the model used is quite good. Analysis of the results using wordcloud shows the tendency of opinion sentiment categories depending on the words used in the tweet.
Target Tracking Method Based on Correlation Filter and Particle Filter

Object tracking is one of the most important tasks in computer vision, many researchers have proposed a lot of effective methods to solve the all kinds of the recent problems in object tracking. During the movement of the targets, the change of object scale may produce a lot of difficulties in object tracing problems, and it may lead to be failed in tracking. The paper proposed method is designed both correlation filter and particle filter. In order to achieve the purpose of tracking, the process of correlation filter is to learn an array of filters so that the response value obtained by the convolution of the learned filters is the largest. The particle filter guides the sample particles to the distribution mode of the target state. The samples of the particle strategy can effectively deal with the large scale variations of the target during movement. Experiment on the OTB database shows that the paper proposed method makes good performance.
Syntactic and Semantic Impact of Prepositions in Machine Translation : An Empirical Study of French-English Translation of Prepositions ‘à’, ‘de’ and ‘en’

This paper presents a study about ambiguous French prepositions, stressing out their roles as dependencies introducers, in order to derive some translation heuristics into English, based on a French-English set of parallel texts. These heuristics are formulated out of statistical observations and use some up-to-date results in Machine Translation (MT). Their originality mostly relies upon two items: (1) The importance given to syntax and dependency relations, along with lexicons, the latter being well browsed by the present literature in the domain (2) The existence of intrinsic semantics in prepositions, something rather discarded in NLP literature devoted to statistical MT, that tends to point at the most appropriate translation. An experiment has been run on corpora in both languages, using a dependency parser in the source language, and results looked to be encouraging for a “step by step approach” for MT improvement.
Perangkat Pembelajaran Berbasis E-Learning Di Sekolah Dasar

The development of Information and Communication Technology has greatly contributed to humans in various fields, including in the field of education. The form of the development of information technology applied in the world of education is E-Learning. E-Learning is an innovation in the world of education that greatly contributes to changes in the learning process. Before carrying out learning, teachers are required to pay attention to various components in the learning system which includes learning devices. Learning tools are everything that must be prepared by the teacher before carrying out learning. One component of the learning device is the learning implementation plan. In the learning implementation plan, there are media and learning models used by the teacher in teaching. The media that teachers can use in E-Learning include WhatsApp, google classroom, google forms, and learning houses. Learning models that can be used in E-Learning, especially in primary schools, include SOLE (Self Organized Learning Environments) learning models and Project Based Learning learning models.
Experimental Analysis the Forward and Reverse Motion of Three Omnidirectional Wheel Robot (TODWR)

Presently in the automation era vehicle robot is very important, therefore analysis the vehicle robot is most interesting topic for researchers. Omnidirectional wheels brought a renaissance in the area of vehicle robot. This study presents a design of the three omnidirectional wheeled robot (TODWR) controller and its application for a vehicle robot. As the omnidirectional wheels’ has a holonomic character, the three omnidirectional wheeled robot (TODWR) are capable to move any desire trajectory. The chassis of this robot is equilateral triangle shape and all omnidirectional wheels are arranged each of the corners of the triangle. The track are designed on the fixed world frame and then converted by the method of inverse kinematic to individual motor speeds.