Reviewerly/exHarmony huggingface dataset:
The Influence of YouTubers to the Individual Among the Society

The main objective of this research is to investigate the current trend, which is how influential YouTubers are to the individual in the society and what types of YouTubers and topic of discussions are impactful to the society as well as what are the methods of YouTubers use to get fame. YouTube is the most popular media platform that allows people to find entertainment by watching videos, and also YouTube content creator to share their opinions and thoughts by uploading their videos. In the research, I have collected 100 respondents’ opinions towards the topic of the research and finally found out that the reasons of YouTubers become impactful and at the same time they did bring few impacts to the society.
Automatic Storytelling from Wearable Sensor Data for Health and Wellness Applications

Storytelling describes our daily living activities in many ways. It assists us to understand what we have done to advance our health and wellbeing. In this paper, we present our novel approach to generate scripts from events, which are detected from wearable sensor data. First, we use Deep Neural Network (DNN) to recognize semantic concepts such as gesture, activity, and location for generating a chronological sequence of events. Second, we apply a sequence to sequence (SEQ2SEQ) model consisting of two recurrent neural networks (RNNs) to generate human-understandable stories. The results show that our method can improve the performance of script generation (SG) by using SEQ2SEQ with 0.972 BLEU-1 score.
FARM

Associations search is one of the methods of data analysis. Association Rule Mining (ARM) approach can construct association rules from observational data, but the most widely used algorithm Apriori typically produces large number of unstructured results without any ranking or statistical significance. We propose a novel method for association rules mining FARM (Fishbone Association Rule Mining) to address these challenges.
Percepção dos enfermeiros na terapia de feridas: Tratamento e coberturas

The objective of this study was to evaluate nurses' knowledge about wound care in health institutions located in Campinas and neighboring regions. The nurse acts directly in choosing the ideal techniques and dressings that will be used to promote an environment that enables rapid tissue repair. The applied methodology included a literature review of wounds and field research through interviews assisted by the application of a questionnaire with open and closed questions about the evaluation and management of wounds. After collecting and analyzing the data, they were confronted with the information available in the literature and researches related to wound treatment. The results allow inferring that nurses made their choices based on technical-scientific knowledge and on the etiology of wounds. In addition, it is possible to state that the knowledge of the interviewed nurses proved to have great relevance both for the management of injuries and for the promotion of suitable care.
Cardi Bot: A Natural Language Application That Answers Your Cardiology Questions

Comprehensive cardiology guidelines are traditionally published in a format with limited capacity for interaction. A question-answer format to interrogate literature offers a practical tool for cardiologists. Amazon Alexa Skills is a software development framework that permits an interactive voice interface that permits the development of a bespoke virtual assistant.
Intellectual Impact of Mobile Educational Games on Secondary School Education in Nigeria: Case Study of Government Girls&amp;apos; College Makurdi

Mobile phones, laptops, tablets and lots more have become a learning tool with unlimited prospects in both classrooms and outdoor learning.Using mobile games in education combines conventional and active learning with fun in possibly exceptional forms.This study accessed the intellectual impact of mobile educational games on secondary school education in Nigeria.A case study approach was adopted for the quantitative research.The sample consisted of 169 students and 52 teachers respectively.Questionnaires were administered to them.Sixty-four percent (64%) of students and fifty two percent (52%) of teachers were aware of mobile educational games.Forty three (43%) of students and forty six percent (46%) of teachers used mobile educational games.Fifty four (54%) of students and forty two percent (42%) of teachers responded that Mobile educational games assist learning and teaching.Forty five (45%) of students and thirty five (35%) of teachers responded that existing mobile educational games are very helpful in assisting learning and teaching.Fifty seven percent (57%) of students and twenty three (23%) of teachers indicated that existing mobile educational games are not based on secondary school subjects.The study recommended that selected questions for such games should be based on the Nigerian secondaryschool curriculum, and students and teachers should be effectively exposed to this tool so as to enhance the quality of education in the secondary school sector.
A Model on Fuzzy Logic Implementation in the Development of Traffic Management in Smart Cities: Artificial Intelligence Approach

Smart cities have been developing using a combination of new emerging technologies which majorly Include Internet of Things (IoT), Big Data, Blockchain, Augmented Reality, and Artificial Intelligence (AI). These technologies have contributed to the development of many fields such as transportation, environmental protection, energy, medical care, and logistics, and have produced many social, economic and ecological benefits Traffic monitoring has become one of the censorious issues in large cities. The Latest traffic light frameworks utilize a fixed time delay for various traffic directions and do follow a specific cycle while changing starting with one sign then onto the next. This makes undesirable blockage during top hours, loss of worker hours, and in the long run decreases profitability. A smart city is one that extraordinarily decreases vehicle traffic and permits individuals and merchandise to be moved without any problem. Wise traffic frameworks are a case of this and the accomplishment of independent vehicle transportation would be a prime case of achievement for a smart city, as this could decrease vehicle-related passing’s. Every one of these endeavors would lessen contamination, bringing about a more beneficial populace. We propose to you a system that has proven to be smart, intelligent, and capable of solving traffic system issues that offer to be a boon to smart cities and control systems emerging cities of the world
The Development of Additional Materials in Kahoot! and the Use to Teach Reading Skill/ تطوير المواد الإضافية ببرنامج كاهوت واستخدامها لتعليم مهارة القراءة

The purpose of this research is to: (1) describe how to develop additional material using the Kahoot application and its use in learning reading proficiency for beginners, and (2) describe the level of effectiveness of additional material using the Kahoot application and its use in learning reading proficiency for beginners. This research uses Reiser and Mollenda's ADDIE development method, namely analysis, preparation, development, application, and evaluation. The results of this study are (1) Additional material using the Kahoot media consists of ten texts. The researcher developed 20 questions for each theme in multiple-choice form and based on three basic abilities, namely reading comprehension, vocabulary comprehension, and grammar comprehension. (2) The results of the field test show that this media is not yet effective for use in reading learning activities due to limitations in the application of the media due to the corona outbreak.
Medical Image Application by Hybrid Transform Coding Scheme

Efficient compression of images using hybrid schemes has become the spotlight for developers in recent times. Hybrid compression techniques (DWT and DCT) are the basis of the proposed compression scheme presented in this paper. The aim here is to achieve higher compression threshold while maintaining the quality of the reconstructed image, attempting to achieve this by using different compression levels on wavelet coefficients of the DWT (HH and LL) bands, in the time when (HL and LH) bands are undergoing DCT transform. According to the type of transformation, adaptive quantization of the retained coefficient is performed. Lastly the quantization indices are encoded using entropy coding (variable shift coding). Results of our trails indicate using hybrid DWT-DCT algorithm significantly improves coding performance.
Impact of information-infrastructure mechanism of self-development management at industrial enterprises on employee engagement: empirical evidence

The work deals with the problems of a self-development organization considered as a self-organization system without hierarchy and employee position. Such kind of management is realized by self-management teams having full authority, responsibility and focus on the result. An individual and group motivation mechanism uses the employee potential to achieve one’s ambition targets. The employee and one’s potential are engaged with a maximum power in all fields of activity. Enterprises management explores employee engagement to estimate and manage this process. Each manager has enough cases when employee goes far beyond job responsibilities to achieve the result. This employee is engaged taking an initiative and informal responsibility. Engagement is a multidimensional construction, which demonstrates employee wishes to invest self-resources (knowledge, skills, competences, emotions and power) in enterprises activity. Engagement is a positive moment implying active involvement, loyalty and direct work. A lot of engagement investigations are aimed at management, result and employee’s participation in organization management. The study of employee’s initiative is a part of employee’s engagement according to infrastructure and information factors at industrial enterprises in Perm region described in the article.
Development of SelfSpeaking Body Weight Scale for Visually Impaired People in Tanzania

Speaking weight scale is an important low vision health aid that measures and announces the measured weight.It is valuable in numerous applications such as Bathroom scale, Kitchen scale, and more.Different talking scales have been developed for the blind community.Many talking scales have language options for English, German, French, or Spanish.However, only limited work exists for Self speaking visually impaired community in EAC given the fact that no talking scale can announce weight in Self which is the common language in EAC.Therefore, this project aims to develop a Self-speaking weighing machine to assist visually impaired people in Tanzania.The developed device is divided into two major parts.On the front end of the design, sensors are used to capture weight parameters.The captured values are mapped onto a sequence of voice patterns.The back-end consists of transferring a sequence of voice patterns to a loudspeaker whereby the voice patterns are stored on an SD card.Finally, the developed device has been evaluated on several objects with known weights.The results show that the developed device accurately measures weight, displays weight, and announces it in the Self language.However, blind people still need assistance from sighted persons to be directed to the scale's platform.The developed device has great potential as a low vision health aid for Self speakers.Moreover, the features of this device can be further improved by integrating iBeacon technology to increase the autonomy of blind people to use the scale and navigate to the device's location safely.
Digital Learning Across Boundaries : Using digital technologies to innovate digital collaborations and develop changemaking in student teachers.

This poster will summarise the work we have been doing in the DLAB2 project this year. The project combines key themes of developing changemakers, social innovation and the use of innovative digital learning tools to blend physical and digital learning environments and provide powerful opportunities for international collaboration. The research aligns with the United Nations’ Sustainable Development Goal 4.7 (2015) by promoting sustainable societies and global citizenship through education, and developing intercultural awareness through the use of digital technology and pedagogies. This year the project is focusing on crossing personal boundaries which seems particularly salient given the social impacts of the COVID-19 pandemic. The DLAB participants, who total approximately 200 individuals, are not only looking at how technology can be used to innovate learning in school itself but how it can be used more widely to collaborate with children and schools across countries and produce resources collaboratively. Whilst last year’s research explored how to project promoted changemaking activities in school children, this year’s research, and this poster, will detail how the project has supported and developed changemaking in the student teachers, with a particular focus on crossing personal boundaries. The research uses an ethnographic methodology, focusing on the experiences of the students teachers; it applies a participatory action research framework whereby all participants contribute to the research through methods such as photo elicitation and reflective vlogs. Emerging evidence suggests that the ways in which student teachers have crossed personal boundaries, and encouraged children to cross personal boundaries, have revolved around the changes to working practices seen in schools due to COVID-19. This includes uses of technology, approaches to teaching and reflecting upon the children’s needs and experiences during the pandemic
STRATEGIES IN LEARNING SPEAKING SKILLS USED BY THE ADULT EFL STUDENTS

This research was conducted to find out and to describe the speaking skills strategies used by the adult EFL students of Pohuwato University and the adults' reason for using those strategies in learning speaking skills. The qualitative descriptive has been employed as the method of the research, and the researcher took the students in the fourth semester of the English department of Pohuwato University as the subject of the research through purposive sampling. To obtain the data, the researcher used the interview and observation as the instrument. The result of the data shows that there are three strategies used by adult EFL students in learning speaking skills. They are cognitive, metacognitive and socio-affective strategies. In cognitive strategy, the students mostly like to apply practicing and analyzing and reasoning. In metacognitive, they used to apply arranging and planning and monitoring, and in socio-affective, they applied to cooperate with others as their strategies to use in learning speaking skills.
Kish Guides: Computer Literacy Help: Screen Capture

Find help here for computer questions How to turn the content of your screen into a digital file
Roc Curve Based Muti_Objective Pso For Outlier Detection Using Hybrid Dragon Fly Optimization

Outlier detection is a fundamental advance in the information mining measure. Its principle reason  to eliminate the contrary information from the first information. This cycle helps in the expulsion of information that are vital for doing to accelerate the applications like order, information annoyance, and pressure. It assumes a significant part in the climate guaging, execution examination of sportsperson, and organization interruption location frameworks. The outlier for the single variable can be effectively noticed however for the n-variable, it turns into a drawn-out measure. To improve the presentation of outlier detection in n-variable or traits a few techniques were proposed. A portion of the current strategies are factual methodologies, vicinity based measures, arrangement approaches, and record based methodologies, and optimization based methodologies. The initial four methodologies couldn't characterize the data when there is a defect in the names. However, the optimization based methodology can beat this issue even there is blemished marking. One of the current improvement approaches is Particle swarm optimization. The current strategy neglected to deal with the bigger records and more modest properties. To conquer this issue a hybrid dragon fly PSO and multi-layer feed-forward neural organization are proposed. This goal is accomplished with the assistance of the ROC bend (negative proportion) as the goal work.
Social Media Based EFL Learning: Opportunities and Challenges

The growth of communication medium from traditional oral, as in face to face interaction, or written communication, as in letters, to the era of social media where people can communicate wirelessly without having to meet in person change the way people communicate with each other. Social media has become personal necessities for almost every person in order to communicate with their peers, acquaintance, friends, and families. It becomes unseparated part of human life. Thus, social media not only has affected people’s personal life, such as interacting with families, friends, and spouses for personal purposes but also their professional life. Mainstream social media platforms provide unlimited amount of information to language learning that change how human acquire information around them. This paper discusses the paradigm shift in education, the positive and negative effects of using social media as a language learning tool, and the conceptual framework in social media based teaching.
Anti-immigrant hate speech as propaganda

There are many studies about hate speech and propaganda during Nazi Germany and other dictatorships at the beginning of the 20th century. Even so, a few years ago, the renaissance of these thoughts in the mainstream media seemed impossible. Nowadays, in 2019, Donald Trump is the President of the United States (U.S.), and it is frequent to find messages against immigrants, women, and mass media in his official Twitter account. In fact, the principal idea of his presidential campaign was to build a wall between the U.S. and Mexico in order to limit immigration. President Trump’s administration, however, is not an exception. In Spain, a political party called Vox is bringing back ideas from Francisco Franco, who ruled a dictatorship in Spain for 40 years. Santiago Abascal, the leader, is spreading messages against immigrants, women, and media similar to Trump’s, and making their social media accounts ideal channels to study and compare. The objective of this chapter is to analyze both politicians, Trump and Abascal, and the hate speech that circulates through analysis of their official Twitter accounts. Specifically, we focus on the messages related to immigrants, the scapegoats of these new political leaders. The methodology is based on a structured content analysis from January 1 to October 31, 2019.
Using Python for Analysis and Verification of Mixed-mode Signal Chains

Any application involving sensitive measurements of the physical world starts with accurate, precise, and low-noise signal chain. Modern, highly integrated data acquisition devices can often be directly connected to sensor outputs, performing analog signal conditioning, digitization, and digital filtering on a single silicon device, greatly simplifying system electronics. However, a complete understanding of the signal chain's noise sources and noise limiting filters is still required to extract maximum performance from and debug these modern devices.
Bitcoin Price Prediction

In this Paper, Bitcoin Price is all focused is on, in recent times bitcoin has been one of the largest cryptocurrencies and if people are well known about the price of bitcoin in the near future then it may benefit many of them and keeping this in mind the price is predicted taking all the factors which affect bitcoin into consideration.
The heads of Academic Departments at the University of Jordan thought about spreading culture from the point of view of faculty members

The study aimed to uncover the role of the heads of academic departments at the University of Jordan in spreading the organizational culture from the viewpoint of its faculty members. The study used the descriptive survey approach, in order to survey the role of the heads of academic departments at the University of Jordan in disseminating organizational culture from the point of view of the faculty members in it, Of 348 members, and the following results were reached. The general average of the role of academic department heads at the University of Jordan in spreading organizational culture from the viewpoint of its faculty members is medium with an arithmetic mean (3.22) and a standard deviation (0.68). The study also found that there are no statistically significant differences at the level of (5.05) = a for the role of the heads of academic departments at the University of Jordan in spreading the organizational culture from the point of view of the faculty members in it due to the variable of rank, experience in all fields, and the study recommended encouraging and motivating department heads to work. To spread the organizational culture in a variety of ways, and to conduct more studies on the subject of study in Jordanian universities in order to provide decision-makers with a scientific base to help them rely on it in addressing the current reality to obtain what is desired , there are no significant differences at the level of the sign (a = 0.05) depending on the main study variables (grade, years of experience, Among the most important recommendations that came out of the study is to encourage and motivate department heads to work on spreading organizational culture in a variety of ways, and to conduct more studies on the subject of study in Jordanian universities so as to provide decision-makers with a scientific base that helps them rely on it in addressing the current reality to obtain what is desired.
WEB-BASED E-TAGGING INFORMATION SYSTEM DESIGN AT KALBE MORINAGA INDONESIA COMPANY

The development of information technology is currently very fast, one of which is in the company. From the development of information technology is expected to help facilitate all existing activities in a company. This study aims to build a web-based equipment damage reporting system at Kalbe Morinaga Indonesia Company. This web-based equipment damage reporting system is used to facilitate the delivery of equipment damage found by operators around the operator's working area. Thus the design of an information system requires accurate data and information so that the designed information system can meet the needs as desired. The research method used is the System Development Life Cycle (SDLC) with the waterfall model with the stages of analysis, design, coding and testing. Meanwhile, to get the data needed in this study is to conduct interviews, observations, and documentation. The result of this research is an e-tagging information system, this system is expected to make it easier to document the tagging process in the company's operations and can reduce the time needed for reporting, processing, and verifying a finding of equipment damage at Kalbe Morinaga Indonesia Company.