Reviewerly/exHarmony huggingface dataset:
FORMATION OF RESEARCH COMPETENCE OF FUTURE HIGHER SCHOOL TEACHERS IN THE PROCESS OF PROFESSIONAL TRAINING

The article reveals the theoretical aspects of the problem of forming the research competence of future teachers of higher education, which is associated with the transition to a unified European education system and the renewal of the educational process of higher education with an orientation towards the formation and development of the personality of a competent teacher-researcher who owns the technology of scientific and pedagogical activity. The necessity of the development of the intellectual consciousness of the future teacher of higher education, which determines the style of scientific thinking, is substantiated by the main indicators of consistency, dynamism, problematicity, categoricality, reflexivity, evidence, predictability, projectivity, search ability, creativity. The authors have revealed the structure and the content of the research competence of the future teachers of higher education. The structural components of the research competence of future teachers of higher education are highlighted: cognitive, diagnostic, project constructive, technological, reflective, communicative. The pedagogical conditions for the formation of research competence of the future teacher of higher education are scientifically substantiated: motivational and value, creating needs and determining the persistent positive motivation of the future teacher of higher education in mastering research qualities; meaningful and constructive, which combine the individual and technological capabilities of scientific and pedagogical activity and the requirements of the forthcoming professional activity of a teacher of higher education; organizational and pedagogical, determining the establishment and retention of pedagogically expedient relationships between teachers and students, based on cooperation and mutual interest in research; reflexive-corrective, contributing to the analysis, accounting and correction of the process and the result of the formation of research competence in future teachers of higher education.
First Steps in Creating a Methodology to Develop and Test Scheduling Policies for Internet of Things

Internet of Things (IoT) refers to a paradigm in which all objects can send information and collaborate with their computing resources through the Internet. The combination of Fog and Cloud Computing defines a distributed system composed of heterogeneous resources interconnected by different communication technologies. Despite its theoretical capacity, using these computational resources poses a challenge to distributed applications and scheduling policies. In this work, we show the initial steps in developing a tool to support the creation of scheduling policies combining simulation and validation. We show the details to be considered when selecting and configuring the different layers of software. To evaluate the proposal, we use a segmentation method in both platforms and a theoretical model to predict the total compute time. Our results show that both simulation and validation platforms agree in the obtained results which also can be explained in terms of a theoretical model.
Study of Linguistic Deviations Used in Advertising Slogans of Confectionery and Beverages in India

A slogan becomes a mode of identification for any product, in the minds of the consumers, when a brand or company uses it consistently to represent or to advertise that product. Primary aim of a slogan of advertisement is to attract attention and the copywriters who create them use various devices to achieve this purpose. One of the predominant device used by them is liberal use of linguistic deviations. The catchy slogans captivate attention of every consumer segment especially children. The studies investigating the creative aspect of ads dealing with products related to children is very scarce. This paper aims at carrying out the content analysis of different types of linguistic deviations used in advertising messages of confectionery and beverages in India. This investigations reveals that grammatical deviations are majorly used as it provides ample creative liberty to create catchy and innovative slogans. Overall all the types of deviations are found in every advertising slogan.
The Mediation Disruption: A Path to Better Conflict Resolution Through Interdisciplinarity and Cognitive Diversity

As the COVID-19 pandemic continues to expose obsolete business practices and force companies into uncharted territories, a disruption worth (re)considering for companies is to replace their over-reliance on litigation with mediation. In order for mediators to make this transition more appetizing for businesses, we must train mediators to: 1) think more holistically through interdisciplinary training; and 2) foster cognitive diversity amongst our pool.
OCHADAI at SMM4H-2021 Task 5: Classifying self-reporting tweets on potential cases of COVID-19 by ensembling pre-trained language models

Since the outbreak of coronavirus at the end of 2019, there have been numerous studies on coro- navirus in the NLP arena. Meanwhile, Twitter has been a valuable source of news and a pub- lic medium for the conveyance of information and personal expression. This paper describes the system developed by the Ochadai team for the Social Media Mining for Health Appli- cations (SMM4H) 2021 Task 5, which aims to automatically distinguish English tweets that self-report potential cases of COVID-19 from those that do not. We proposed a model ensemble that leverages pre-trained represen- tations from COVID-Twitter-BERT (Müller et al., 2020), RoBERTa (Liu et al., 2019), and Twitter-RoBERTa (Glazkova et al., 2021). Our model obtained F1-scores of 76% on the test set in the evaluation phase, and 77.5% in the post-evaluation phase.
Valoración de los universitarios sobre el uso de la aplicación Alcula en el proceso educativo por medio de la ciencia de datos y el aprendizaje automático

espanolEsta investigacion mixta analiza el uso de la aplicacion Alcula como herramienta de apoyo en el proceso educativo sobre el Diagrama de caja por medio de la ciencia de datos y el aprendizaje automatico. La muestra esta compuesta por 34 estudiantes de las Licenciaturas en Administracion, Comercio y Mercadotecnia que cursaron la asignatura Estadistica Basica Aplicada en el ciclo escolar 2017. Los resultados del aprendizaje automatico (regresion lineal) indican que la interfaz rapida, sencilla y agradable de la aplicacion Alcula influye positivamente en el proceso de ensenanza-aprendizaje sobre el Diagrama de caja. Por otro lado, la ciencia de datos permite construir 3 modelos predictivos sobre el uso de la aplicacion Alcula por medio de la tecnica arbol de decision. Asimismo, los universitarios estan motivados y satisfechos de utilizar esta herramienta tecnologica en las actividades escolares. Por ultimo, Alcula es una aplicacion web innovadora y util para el campo de la estadistica. EnglishThis mixed research analyzes the use of the Alcula application as a support tool in the educational process on the Box Plot through data science and machine learning. The sample consists of 34 students from the Bachelor of Administration, Commerce and Marketing who studied the Applied Basic Statistics subject in the 2017 school year. The results of machine learning (linear regression) indicate that the fast, simple and pleasant interface of Alcula positively influences the teaching-learning process on the Box Plot. On the other hand, data science allows building 3 predictive models about the use of the Alcula application by means of the decision tree technique. Likewise, the students are motivated and satisfied to use this technological tool in school activities. Finally, Alcula is an innovative and useful web application for the field of statistics.
Do You Really Understand What I Mean? A Visual Representation of Micro-operation Intention

In AR assembly, only experienced workers can complete the physical tasks with high operation precision requirements. The reason is that they use their brains to transform the information reflecting micro-operation intention into a series of manual operation rules. Because novices are not familiar with these rules, they often encounter problems of low precision and low efficiency. In order to describe these rules with AR instruction, this paper does some research work. Firstly, traditional AR and microAR are defined, and their differences and relations in guiding micro-operation are explained. On this basis, a microAR oriented to human microoperation rules is proposed. Then, according to the traditional AR and microAR, three instructions are designed to guide novice micro-operation assembly. An example is designed to test the assembly time and operation experience of three interfaces under a physical task. The results show that compared with traditional AR instruction, microAR instruction can better guide novice micro-operation.
De-Colorization and Colorization of Video Using GAN and ConvNet.

Under the limited storage, computing and network bandwidth resources, the video compression coding technology plays an important role for visual communication. To efficiently compress raw video data, a colorization-based video compression coding method is proposed in this work. In the proposed encoder, only the video luminance components are encoded and transmitted. To restore the video chrominance information, a generative adversarial network (GAN) model is adopted in the proposed decoder. To make the GAN work efficiently for video De-colorization and colorization. We investigate GAN as a general-purpose solution to image-to-image translation problems for video. These networks not only learn the mapping from input image to output image, but also learn a loss function to train this mapping. This makes it possible to apply the same generic approach to problems that traditionally would require very different loss formulations. We demonstrate that this approach is effective at synthesizing video frame from label maps, reconstructing objects from edge maps, and colorizing images, among other tasks. Indeed, since the release of the pix2pix software associated with this work, many internet users (many of them artists) have posted their own experiments with our system.
A Program for University Student’s IT Leadership Renovation

In this paper, we propose a new program for university student’s IT leadership renovation. Automation and Artificial Intelligence(AI) are changing the nature of work. According to MGI report, they will change the skills needed in the workforce. Leadership is one of the skills needed more of in the future at workplace including IT industry. Leadership could be defined as having 5 level leadership. According to the 5 level leadership, a program was formulated to renovate university student’s self-leadership, teamwork, team leadership and finally global leadership. We named the program as Stepping-Stone Platform for Student’s IT Leadership Renovation(SSP-SLR). Each level of four stepping stones consists of one semester. Student can raise their leadership skills by the program step by step. Various instruction learning methodologies are adopted to the program, including Flipped learning which has been proved effective in many ways in the field of education recently.
An Improved Object Detection Method using Feature Map Refinement and Anchor Optimization

Lower detection accuracy and insufficient detection ability for small objects are the main problems of the region-free object detection algorithm. Aiming at solving the abovementioned problems, an improved object detection method using feature map refinement and anchor optimization is proposed. Firstly, the reverse fusion operation is performed on each of the object detection layer, which can provide the lower layers with more semantic information by the fusion of detection features at different levels. Secondly, the self-attention module is used to refine each detection feature map, calibrates the features between channels, and enhances the expression ability of local features. In addition, the anchor optimization model is introduced on each feature layer associated with anchors, and the anchors with higher probability of containing an object and more closely match the location and size of the object are obtained. In this model, semantic features are used to confirm and remove negative anchors to reduce search space of the objects, and preliminary adjustments are made to the locations and sizes of anchors. Comprehensive experimental results on PASCAL VOC detection dataset demonstrate the effectiveness of the proposed method. In particular, with VGG-16 and lower dimension 300×300 input size, the proposed method achieves a mAP of 79.1% on VOC 2007 test set with an inference speed of 24.7 milliseconds per image.
Covid 19 Tweets Classification Using RNN in Deep Learning

Covid at Ist termed Corona Virus of 2019, was articulated as a global pandemic by World Health Organzation on 11/03/2020. Phenomenal squeezing factors has pressurized  every nation to forge persuading necessities for administering the general population by looking over the case count , fittingly making use of open resources. Fast count of surprising cases all around has set fear of freedom for all, anexity and fear among people. This errand is to set up a Deep Learning computation fit for predicting tweets of different kinds of assessments, for instance, positive, negative, fair, incredibly antagonistic An assessment of the proposed and current estimations reveals that the accuracy assessment types gathering subject to RNN (Recurrent Neural Network) is higher than various estimations. It is expected that the accomplishment of the got results will augment if the RNN procedure is maintained by adding extra component extraction systems and request successfully feeling types on tweets.
Game Ai Using Parametrized Behavior Monitoring

Game AI with a Non-Player Controlled Bots is the systems that are built into a game. These systems offer competition or objectives that the player must overcome to progress. Although in most situations, these NPCs provide an acceptable level of competition, over time, they become predictable and no longer pose any challenge to the players. Game AIs and NPCs use a basic detection and computational system to perform actions that seem to oppose the players, and these are even lesser of an opposition to players and will lead to loss of worth in the section of the game that would be more enjoyable to those if the opposition would be more challenging.
Pengembangan Media Interaktif Berbasis Mind Mapping dengan Aplikasi Macromedia Director MX 2004 Pada Mata Pelajaran IPS Untuk kelas IX SMP

This research is a procedural development with research subjects 4 respondents, consisting of two people validator media experts and two experts: two lecturers material UNP and two Masters SMP N 1 Batusanggkar. The instrument includes the content of the material aspects and aspects of the media. Data was analyzed by qualitative descriptive to determine the quality of interactive multimedia in teaching IPS.Hasil analysis pointed that the interactive multimedia teaching material, entitled Development-based Interactive Media Mind Mapping with director Macromedia MX 2004 applications for learning social studies to junior class IX are packaged in a CD Learning this into Category Very Baik.Berdasarkan Results deskripstif test data experts point out that this interactive multimedia teaching materials fit for use as a source of learning and alternative media in solving problems of social studies in junior high.
Parikh Fuzzy Vector for Finite Words of Rectangular Hilbert Space Filling Curve

Parikh Fuzzy vector for finite words of Rectangular Hilbert Space Filling Curve is introduced. Recurrence relations for this vector and its complement vector are produced. It is shown that the components of the Parikh Fuzzy vector are equally distributed at the limiting level. Hence, it is observed that the Parikh Fuzzy vector tends to a constant vector as n tends to infinity. Moreover, it is also valid to any other kinds of Space Filling Curves like Lebesgue Space Filling Curve, Peano Curve and Moore Curve
Multimodal Approach to Literation Practice in Primary School Students

This paper is a literature review that describes a multimodal approach to literacy practice in elementary school students. This approach provides opportunities for students to be creative and educative. Usually, the teacher when teaching is less active and students only watch and listen to what is being said, but the teacher does not activate the atmosphere, the child tends to be silent even just playing. Students are confused about getting ideas to tell stories freely and widely because students are only fixated on one reading book. In its implementation, a multimodal approach in elementary schools can be carried out by focusing on writing and drawing activities, assisted by digital technology that can provide interesting information. Digital technology provides many benefits in terms of linguistics, audio, visual, spatial, and gestures in creating a story. To learn something, students must be smart in literacy, namely in writing, reading, and listening. The four languages are interrelated. In life we are inseparable from communication, now it is not the only face to face but we can communicate via electronic media. Multimodal is a resource for children to build ideas and help students' minds more open. With a multimodal approach, it is a student's experience that is always remembered, this provision does not only apply to elementary schools but will be useful until later continuing with higher education.
Now Is a Great Time to Consider Hazard Mitigation

Journal AWWAVolume 113, Issue 5 p. 84-87 Security & Preparedness Now Is a Great Time to Consider Hazard Mitigation Conor Howachyn, Corresponding Author Conor Howachyn howachyn.conor@epa.gov Search for more papers by this authorDavid Goldbloom-Helzner, David Goldbloom-Helzner goldbloom-helzner.david@epa.gov Both authors contributed equally to the writing of this column.Search for more papers by this author Conor Howachyn, Corresponding Author Conor Howachyn howachyn.conor@epa.gov Search for more papers by this authorDavid Goldbloom-Helzner, David Goldbloom-Helzner goldbloom-helzner.david@epa.gov Both authors contributed equally to the writing of this column.Search for more papers by this author First published: 02 June 2021 https://doi.org/10.1002/awwa.1731 Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Volume113, Issue5June 2021Pages 84-87 RelatedInformation
Numerical and experimental assessment of string gauge influence on guitar tone

String gauge is known for affecting a guitar's tone, playability and volume. It is often a subject of debate between younger players and becomes a staple and signature of older ones. The choice between the heavier or lighter strings is usually made based on personal taste and practical reasons. Although string gauge is intuitively associated with fatter or thinner sound, physics behind string vibration do not necessarily confirm this assumption. In the study, the impact of string gauge on the guitar's tone is assessed in several ways. A numerical study is carried out, introducing a time-domain dynamic analysis of a coupled string-structure system. A basic experimental study is also performed to validate the numerical results. The study is focused on estimation of the three aspects of sound—harmonic composition, sustain and volume—and how they are affected by the guitar's string gauge.
Preparing students for research activities based on project technology

The article highlights the use of design technology in the classroom, with the aim of preparing students for research activities in biology. The ways of developing the research competence of future specialists in the preparation of professional activities are grounded. The set of interrelated components (organizational, content, activity, evaluative and productive), focused on the development of personal intellectual qualities in the course of students’ scientific activities in the educational process of studying biology, has been substantiated.
Presenting the Roman archaeofaunal initiative (RAF)

We present the Roman archaeofaunal initiative (RAF) which brings together a community of Roman archaeofauna data compilers and experts. In our presentation we will describe the efforts being made to achieve common data standards for Roman archaeofaunal data. The RAF initiative is linked to the Pandora initiative which brings together a network of historical and archaeological databases devoted to the study of the human past. Under the Pandora initiative an emphasis is placed on the recognition of the research and data collection efforts made by both data producers and data compilers. Pandora effectively functions as a hub where data compiled across separate individual databases is made readily visible and accessible to the wider research community.
Standard Operational Mechanism for E-Govemance during Pandemics: An Indian Case Study

E-Governance has become a major component in the functioning of governments worldwide. E-governance strategies are formulated keeping in view long-term applications, resources, and infrastructure in mind. A large lengthy process goes into the details of stepwise step roles and responsibilities while creating a digital/electronic equivalent of a physical service which many times is marred by limitations of practical ability. Recent Covid-19/SARS-Cov2 corona pandemic which has swept across the world bought countries to a halt. In this paper, the authors discuss the significance of e-governance during pandemics and propose a framework and standard operating procedures for the smooth functioning of e-governance services with the participation of government officials and machines even during disasters and pandemics.
Study on Overseas Readers' Reception of English Versions of Chinese Network Literature Based on Python Sentiment Analysis Technology

Based on Python sentiment analysis technology, this paper collects overseas readers' comments on the English version of Lord of the Mysteries, the most popular translated work of Shanghai International Network Literature Week 2020, to investigate the acceptance attitude of the book by ordinary readers from the micro level with quantitative data. It also classifies and summarizes the representative evaluation of reader groups, and explores the specific emotional attitudes and literary preferences of ordinary English-speaking readers Chinese online literature reading experience, so as to provide useful reference experience for the going out and going in of Chinese popular literature the multicultural context of the digital globalization era.