Reviewerly/exHarmony huggingface dataset:
A Study on the Performance Improvement of Face Recognition Algorithm by Normalization Technique

Through the combination of computer vision technology and artificial intelligence, facial recognition technology is drawing attention as a new means of personal authentication in the era of the fourth industry. Facial recognition technology uses imaging equipment to photograph a person"s face and extract characteristic data. The extracted data are matched against the facial features of the stored database. Facial recognition technology is a contactless technology compared to other biometric recognition technologies, which is used in various fields due to its high hygiene, convenience and security, and in particular, safety accidents in workplaces are closely related to life, and various studies related to workplace safety management using intelligent video information are being conducted in the manufacturing industry. In this paper, a study is conducted on the development of facial recognition algorithm using deep learning to control worker access in hazardous areas. The accuracy of the recognition of the proposed facial recognition algorithm (object detection algorithm (SSD) and object recognition algorithm (ResNet)) is closely related to the safety of the operator. Therefore, the goal is to analyze the relationship between various normalization techniques (Min-Max Scaler, MaxAbs Scaler, Standard Scaler) and the recognition rate of the proposed facial recognition algorithm to propose a high-accuracy facial recognition algorithm. In the future, we will conduct research on safety issues in the manufacturing industry based on facial recognition and image recognition technologies.
LibGuides: Introduction to Comics for Adults: Where Should I Start?: Home

The world of comic books can be intimidating. This guide outlines various notable works, databases, and other resources to help you feel more confident the next time you enter a comic book shop or graphic novel section of your local public library.
Research on suitability evaluation of team members of scientific research and innovation team

ObjectiveTo construct a quantitative evaluation model for the suitability evaluation of scientific research innovation team members.MethodsFirstly to identify and clarify the key indicators of the evaluation of scientific research team members, including: the evaluation of professional relevance of members, academic contribution expectation of members, evaluation indicators of cooperation convenience, and analysis of common evaluation indicators of objectives. Secondly, to conduct qualitative analysis of relevant indicators to determine the weighting levels of each sub-item of different indicators. Finally, design the mathematical model of calculation according to the weights and scores granted to the importance, grade, etc. of the indicators.ResultsAfter the simulation calculation, the designed formula can better reflect the weighting level of different indicators, which makes the evaluation of the suitability of the research team members feasible.ConclusionsQuantitative evaluation of the suitability evaluation index of innovation team members makes the evaluation of innovation team members have evidence to follow, the evaluation results are fair and equitable, and easy to be accepted by all parties. It also helps to guide the team to clearly establish the direction.Key words: Scientific research management; Innovation team; Science and technology evaluation; Quantitative evaluation
Digital Environment of the Department as a Factor of Future Specialists` Professional Information Culture Formation

The realities of modern society indicate the necessity for widespread use in the activities of any specialist services of global informatization. In this regard, the requirements to the formation of a high level of information culture of future specialists in the university as a mandatory component of their future professional activity are actualized. The effectiveness of solving the problem of quality of training of modern specialists largely depends on the conditions of constant and motivated information activities of departments. The aim of the work is to substantiate the model of the digital environment of the department, contributing to the formation of professional information culture of students. Projective strategy and information modeling of the object as a system were used in the construction of the digital model of the department. The external, internal criteria and quality indicators of digitalization of the information environment, the main software and information components are substantiated. The designed digital environment of the department contributes to the motivation of students and teachers to educational and professional activities. The proposed model began to be implemented in a number of universities in Krasnoyarsk. The materials of the article have practical value for all participants of the educational process at the university, including specialists in informatization of education, administrative workers responsible for the quality of the educational process at the university.
LibGuides: Academic Study Skills: E-Resources and e-books

Useful resources to help with Research, Academic Writing and Referencing Information to help you access our E-resources
A Multi-Dimensional View of Aggression when voicing Opinion.

The advent of social media has immensely proliferated the amount of opinions and arguments voiced on the internet. These virtual debates often present cases of aggression. While research has been focused largely on analyzing aggression and stance in isolation from each other, this work is the first attempt to gain an extensive and fine-grained understanding of patterns of aggression and figurative language use when voicing opinion. We present a Hindi-English code-mixed dataset of opinion on the politico-social issue of ‘2016 India banknote demonetisation‘ and annotate it across multiple dimensions such as aggression, hate speech, emotion arousal and figurative language usage (such as sarcasm/irony, metaphors/similes, puns/word-play).
A Study on the Game Immersion and Emotional Evaluation through Eye Tracking

Since the concept of emotional engineering has emerged, there has been a movement in the game industry to develop games based on emotional tendencies. The game has been shifted from the traditional game that seeks competition and victory to the stimulation of human emotion. Therefore, a system called emotional evaluation was applied at the development stage before the game is released. The emotion evaluation system is an evaluation method that can verify the usability of the game interface, system, and the player's emotional desire. However, there is a disadvantage that the evaluation method of the item selection method is dependent on the subjectivity of the evaluator. There is also a problem that the evaluator's answer may change depending on whether or not the game is fully immersed. In particular, games are more affected by immersion than other media contents. Immersion is difficult to measure because it is difficult to quantify through numbers. Therefore, in this study, we propose a method to increase the reliability of emotional evaluation by measuring the player's immersion using eye tracking technology and then conducting emotional evaluation.
역번역을 활용한 한국어 텍스트 교육 -번역 전공 유학생을 대상으로-

The purpose of the study is to propose Korean text education for foreign students majoring in translation. Korean as a foreign language students need to improve their Korean skills before taking higher level translation classes. However, there are no basic courses to solve this problem. For this purpose, the study argued for providing Korean text education for advanced Korean language courses and translation. Further, it attempted to show the effectiveness of ‘back translation’. For the study, an experiment was conducted with two groups. One group studied the text structure and language of the instruction manual, and the other group did not study them. The research findings are as follows: first, the text-trained experimental group performed better than their counterpart. They completed the text properly and did not make many translation errors or language errors. In addition, the experimental group showed higher satisfaction with the class. Based on the results of the study, future research suggestions are made.
한국 ICT 산업생태계 분석에 따른 전망과 과제

The ICT industrial ecosystem in Korea show structural vulnerability. The common characteristics of global companies leading the 21 century are concentrated on how the platform should be constructed. We have to promote Software and Contents Industry. The hyperconnectivity and superintelligence are the distinct features of Smart society and 4’s industial time. Our country are urgently needed new ecosystem(IoT, AI, Big data).
HASIL BELAJAR MATEMATIKA SISWA DENGAN MENERAPKAN MODEL PEMBELAJARAN ANCHORED INSTRUCTION

The purpose of this study was to determine whether the improvement in mathematics learning outcomes of students of class X IPA of SMA Negeri 6 Tanjungpinang who learned through the Anchored Instruction (AI) learning model was higher than those learned through conventional learning models. This study uses a quantitative approach to quasy experimental research and the Pretest Posttest Control Group Design research design. The samples in this study were class X IPA 1 as the experimental class and class X IPA 2 as the control class determined by the random class technique. Data collection techniques in this study are observation and tests. Data analysis techniques in this study used data description, normalized gain, prerequisite test, and hypothesis testing. The results of this study indicate that the increase in mathematics learning outcomes of students who get learning with the Anchored Instruction learning model is higher than students who get conventional learning.
An Analysis of Short Text Detection and Classification Algorithms

In recent years, there has been an exponential growth within the number of complex documents and texts. It requires a deeper understanding of machine learning methods to be ready to accurately classify texts in many applications. Understanding the rapidly growing short text is extremely important. Short text is different from traditional documents in its length. With the recent explosive growth of e-commerce and online communication, a replacement genre of text, short text, has been extensively applied in many areas. Numerous researches specialise in short text mining. It's a challenge to classify the short text due to its natural characters, like sparseness, large-scale, immediacy, non-standardization etc. With the rapid development of the web, Web users and Web service are generating more and more short text, including tweets, search snippets, product reviews then on. There's an urgent demand to know the short text. For instance an honest understanding of tweets can help advertisers put relevant advertisements along the tweets, which makes revenue without hurting user experience Short text classification is one among important tasks in tongue Processing (NLP). Unlike paragraphs or documents, short texts are more ambiguous .They do not have enough contextual information, which poses challenge for classification. We retrieve knowledge from external knowledge source to reinforce the semantic representation of short texts. We take conceptual information as a sort of data and incorporate it into deep neural networks. Here we are going to study different methods available for text classification and categorisation.
Penerapan Konseling Adiksi Narkoba di Balai Rehabilitasi Badan Narkotika Nasional (BNN) Tanah Merah Samarinda

In East Kalimantan, many people use Substance Use Disorders (GPZ) due to drug use that require counseling services in rehabilitation. Related research to study the qualifications and competencies of counselors involving drug counseling, techniques used, evaluation, coordination and solutions in the application of drug counseling at the National Narcotics Rehabilitation Agency (BNN) Tanah Merah-Samarinda. This research uses descriptive qualitative method. Data sources consist of primary and secondary data sources. Collection techniques used are interviews, observation, and study documentation. Data analysis techniques consist of data reduction, data display, conclusion drawing. The technique of checking validity data uses credibility, transferability, dependability, and confirmability. The results showed that this study involved 13 people, 11 people from health education and 1 psychologist. Counseling techniques used consist of individual counseling, group counseling and family counseling as well as cognitive and behavioral therapy (CBT). Clients receive experience and knowledge to support healthy and proven life. The hard character of the client and the negative family stigma often become difficult in providing services. However, through the approval of individual humanists, patience and high service commitment can work well.
La introducción de la herramienta didáctica PSeInt en el proceso de enseñanza aprendizaje: una propuesta para Álgebra Lineal/ The introduction of the didactical tool PSeInt in the teaching and learning process: a proposal for Linear Algebra

Objective: Informatics tools offer university professors new resources to change traditional teaching. This paper gives arguments to introduce PSeInt, a software widely used in Latin America, in the teaching and learning process of Lineal Algebra.Methods: Theoretical methods were used to construct a framework for the proposal. Likewise, the foundations, structure, functioning and possibilities of PSeInt software was analyzed to consider the software as a material of the research.Results: The main finding of the research is the statement of theoretical premises for using PSeInt software in the teaching and learning process of Linear Algebra, together with an illustration of suitable tasks. Conclusions: The introduction of this tool favors the development of algorithmically thinking, the comprehension of conceptual relations, an interdisciplinary approach and students’ motivation.
Improving Pupils Self-Image

At the present time it is noticeable that children hold a misconception about who they are and what are they capable of. So called low self-image is a result of body deviations from their peer norms, weak social contact, unpopularity in the class and low learning achievements. School helps to improve pupils self-image with various activities. It is important to know, that a child has a shaped self-concept by the age of five, before he enters the school. School is only a further factor that can improve the concept with the help of diligent teachers. It is important that a teacher with a positive and real self-image works with those children. The teacher can do the most with his attitude towards them, if he treats them with respect and acceptance, even when their ideas are less appropriate. At the same time the teacher has to set clear demands and boundaries. For many years I have been searching for ways to influence the self-image of my pupils. I run workshops about self-respect and setting their own goals and ways to achieve them. Children search and make friends, solve problems through games, learn how to cope with stress and think positive... But above all, I encourage them to become accustomed to healthy food and lots of outdoor activities. Of course, the transformation of the self-image is a long-lasting process, but worthy of every child.
Improving Students' Speaking Skill through Snowball Throwing Technique (STT) at Indonesian Junior High School

This research is a Classroom Action Research (CAR). It aimed at improving students’ speaking skill of the 7th grade at SMP N 1 Kotabunan East Bolaang Mongondow through the snowball throwing technique. The subjects of this research were 31 students consisted of 21 girls and 10 boys. But, only 25 students who attended the classroom. In this research, the researchers used mixed method (quantitative and qualitative design). To collect the data, the researchers utilized by using tests and observation. The researchers conducted the tests by asking the questions that related to the lessons that students had previously learnt. Meanwhile, observation was accomplished in order to observe qualitatively about the students’ learning process by the technique. The results showed that, in the first cycle, the mean score was 39.84 with percentage of students who passed the test was 52%. While in the second cycle, the mean score of post-test was 72.16 with the percentage of students who passed the test was 100%. According to the observation in the first cycle, it revealed that students could not carry out the technique properly and some students were not good in speaking such as having bad grammar and pronunciation. Furthermore, the researchers used the papers to construct as a ball in conducting the snowball throwing technique. In the second cycle, it indicated that the students were going better by carrying out the following technique. Based on the indication of the result, it can be said that there was an improvement of students’ speaking skill through snowball throwing technique of the 7th grade at SMP N 1 Kotabunan East Bolang Mongondow.
Text Detection and Recognition Techniques from Images using React Native

Text detection and recognition from images becomes very crucial part in many of the Computer Vision problems.It becomes one of the modes for concluding on some knowledge-based decision while working in domains of natural language processing, robotics and artificial intelligence.Due to the usage of modern tools for image acquisition like surveillance cameras, mobile cameras, etc. and social website posts has gathered heaps of image data.Textual information can be extracted from images and used for further classifications or decision making.However, research on Text detection and recognition has been carried out from two decades.In this paper we tried to give brief of the research work done in this field.The paper shows various comparisons between the methods used by researchers for text detection and recognition.It also highlights the various applications in combination with GPRS, hardware, etc. used now a days using text detection and classification.
Observing User Interface Design Patterns for Websites from a User-experience Point-of-View

Nowadays, user dashboards have been widely used everywhere, and the design complexity is growing with the more and more advanced technology.A very important aspect in user dashboards design is their specifications that describe what the systems have to do.The specification should provide criteria for the systems to be designed.The criteria are formulated in a specification language, which is kept preferably on a high abstraction level and, for example, need not be executable.The specification gives a formal model by class-library extensions, by this way to ensure the consistency of the systems and define the properties of the systems.In many modern applications, graphs play important role in representing the specifications of user dashboards.The richness and practical purposes are needed by the specifications.The richness comes from several resources, which have the variations in the way of different types of graphs.Besides the general graph, there are Conditional Process Graph (CPG), Petri nets and other types of graphs.It turns more difficult to work on these graph representations in a textual format since now the user dashboards become more and more complicated.We need to develop a visual dashboard, which users can design and edit the graph visually based on certain form of specifications.There exist some kind of dashboards for graphs, but they each mostly focus on one type of graph at a time.If new graph is introduced, they cannot work anymore.So, we propose an extensible visual dashboard, which can edit many types of graph with their own specifications that are defined in formal ways.All the representations in the dashboard are graph-based and they share common concepts such like edges and nodes.By this way, the dashboard becomes extensible and it is not simply the combination of several dashboards.In this paper, we study different methods to design user dashboards, and evaluate the best practices in designing the same.
The Application of Information Gap Activity to Improve Speaking Skill of Nursing Students

Nowadays, Speaking as one of four skills taught in English become popular and very important to be learned. Since 4.0 revolution era has been launched, the students from junior high school to university level are interested to study English especially speaking skill. The study aimed to investigate the significant difference in speaking achievement before and after the students were taught using Information Gap Activity. The pre-experimental design through one group pretest-posttest design was used in this study. The 4th semester students of S1 Nursing Science program at STIK Siti Khadijah Palembang in academic year 2019/2020 was the population of this study. The sample of this study was all of the population of this study. Since the total number of the population was 22 students, they all selected as the sample in this study. The test was administered twice as pretest and posttest. The result of the test was analyzed by using t-test through SPSS (Statistical Package for Social Science).
ANALISIS KALIMAT PERSUASI DALAM AKUN INSTAGRAM @KULINERTANJUNGPINANG DAN IMPLEMENTASINYA DALAM PEMBELAJARAN BAHASA INDONESIA TINGKAT SEKOLAH MENENGAH PERTAMA

This study aims to describe the persuasion sentences and the structure of persuasion sentences in the Instagram account @kulinertanjungpinang and their implementation in Indonesian Language learning in junior high school level. The persuasion sentence in the @kulinertanjungpinang instagram account is then implemented as an example of teaching material in Indonesian language learning at the junior high school grade VIII in odd semester on the subject matter of advertisements, slogans, and posters. The object of research is a sentence in the form of a caption / photo description uploaded in the @kulinertanjungpinang instagram account which starts from November 2018 to February 2019. This type of research is descriptive using a qualitative approach. The data collection technique used is the documentation technique. The data analysis technique used is the content analysis technique. The results obtained were 16 persuasive sentences in the @kulinertanjungpinang instagram account which then the sentence structure was analyzed and implemented in Indonesian language learning in the subject matter of advertisements, slogans, and posters.
GSU Library Research Guides: Web Savvy -- General Guide: Signs of Trouble

A multi-page tutorial on evaluating web sites, for beginners and those who think they know. Types of page you should not touch with a ten foot barge pole.
PEMBELAJARAN MENULIS TEKS DESKRIPSI SISWA KELAS VII SEKOLAH MENENGAH PERTAMA

Learning to Write Description Texts in Grade VII Middle School Students . This study aims to: (1) describe the learning of writing descriptive text by grade VII teachers of SMP Negeri 2 Wonomulyo, and (2) describing the learning of writing descriptive text by grade VII A students of SMP Negeri 2 Wonomulyo. This research is a qualitative descriptive study. Data collection is done by observation, documentation, and interviews. The results of this study indicate that learning activities undertaken by teachers include learning planning, learning implementation, and learning assessment. Meanwhile, learning activities undertaken by students relate to the implementation of learning that produces products in the form of written text descriptions.