Reviewerly/exHarmony huggingface dataset:
Analyzing Logs from Proxy Server and Captive Portal Using K-Means Clustering Algorithm

The traffic on World Wide Web is rapidly increasing, and an enormous amount of generated data due to users’ various interactions with websites. Thus, web data becomes one of the most valuable resources for information retrievals and knowledge discoveries. The study utilized the logs from the Proxy Server and Captive Portal database and used Web Usage Mining to discover useful and exciting patterns from the web data. Moreover, k-means clustering algorithm was used to provide specific groups of the user access patterns specifically for the number of user sessions and websites accessed by the network users. Based on the results, it had been found out that most of the time, users are more engage in utilizing the internet.
Public Safety Knowledge Graph using Bilstm- Attention-CRF and Multi-Source Data

Public safety has always been a hot topic in the world, yet related data are stored in various forms of structures and have a huge amount. The poor characteristics of these huge amounts of heterogeneous data bring great difficulties to its application. For the purpose of applying these data conveniently and efficiently, knowledge graph was adopted. Public safety knowledge graph can help organize public safety data by an organized and properly utilized form, so that it can be used more optimally in public safety related retrieval, question and answer systems, etc. In this paper, unstructured, as well as structured public safety data were used for constructing, with the support of BiLSTM-Attention-CRF model. To be able to reveal this public safety knowledge graph in an understandable way, Neo4j database was used to store public safety knowledge graph.
قياس جاهزية جامعة سومر لتبني ممارسات تقنية المعلومات الخضراء: Measuring the readiness of Summer University to adopt green information technology practices

المستخلص   يهدف البحث الى قياس جاهزية جامعة سومر لتقنية المعلومات الخضراء مستعينا بمقيـــاس جاهزية المنظمة لتقنية المعلومات الخضراء المعد من قبل (Molla et al:2011) والمتكون من خمسة أبعاد (الاتجاهات نحو تقنية المعلومات الخضراء، وسياسة تقنية المعلومات الخضراء، وممارسات تقنية المعلومات الخضراء، والإدارة الرشيدة لتقنية المعلومات الخضراء وتقنيات تقنية المعلومات الخضراء). حيث أعد الباحثان استبانة مخصصة لهذا الغرض تكونت من خمسة ابعاد فسرتها (30) فقرة. أخضعت لاختبارات الصدق والثبات على وفق ما هو معمول به في مثل هذه الحالات. كشفت نتائج البحث أن جاهزية المنظمة التي نفذت بها الدراسة لازالت بعيدة عن المقياس المعتمد، مع ذلك فان بعد الاتجاهات تجاوز تقريبا منتصف الطريق الذي يفصله عن الدرجة النهائية على هذا المحور. اختتمت الدراسة بأهم التوصيات ذات الصلة.   Abstract  The present research attempted to measure the readiness of University of Summer for Green Information Technology by using the framework introduced by (Molla et al: 2011).  Molla and his colleague framework consists of five dimensions (attitude towards green information technology،green information technology policy، green information technology practices and Green Information Technology and Governance of Green Information Technology). The Authors prepared and distributed a questionnaire dedicated for this purpose consisted of five dimensions interpreted by 30 items. The instrument was subjected to tests validity and reliability. The results of our work revealed that the readiness of our organization is still far from the approved scale. The study was ended with the most relevant concluded and recommendations.
CUIDADOS NA SAÚDE MENTAL DE IDOSOS NA TRANSIÇÃO PANDEMIA DO COVID-19 – NOVA NORMALIDADE

Objective: to analyze the available evidence and propose mental health care of older adults in the post-pandemic transition. Development: the global crisis currently experienced due to the COVID-19 pandemic has caused the isolation of older adults. Due to distancing, the presence of psychological symptoms that affect the mental health of aged individuals has been enhanced, but the prevalence of these symptoms and their sequelae in the transition to the new normality must be considered. Final considerations: the Tidal Model demands Nursing care in mental health, where the role of the nurse will be to promote strategies that facilitate decision-making in favor of mental health by the older adults themselves in their adaptive process.
Sthree Raksha: Panic Intimation Device For Women

Women play an important role in empowering our economy and bringing a change in the country. Women earlier stayed indoors to perform their house old chores but are now balancing between work and home simultaneously. They are contributing to the economic development competing with men as well. They are working in both the day and night shifts. Women and girls are being assaulted, harassed, molested, and raped at all times. The world has become very unsafe for women and girls. A woman or a girl desires to be independent and move around freely without being concerned for their own security. In times of danger, they need not feel helpless or insecure if they have some sort of safety device with them. We propose a system which is the integration of multiple components. The hardware is a “Smart Device” which continuously communicates with a smart phone that has access to the internet. The device also ensures to provide live tracking feature which helps her family and friends to be intimated during times of panic.
Alternative Tool to Engage Learners in Comprehending Written Forms in Mandarin

In the Malaysian context, Mandarin is taught as a foreign language. Learning the written forms can be challenging, especially for non-native speakers. Furthermore, teachers found this component to be problematic, based on learners’ classroom written tasks. In order to assist learners’ comprehension of the written form, a board game called ‘Catch Me If You Can’ was developed. The focus of this study is to find out the effectiveness of the board game in learning the written forms. The study sample consisted of 20 respondents from a local University. Data comprised the responses from questionnaires and interviews. A pre and post test was administered to gauge students’ performance in the written tasks. The findings showed the respondents enjoyed learning the written forms in a fun and engaging way. Hence, this game can be used as complementary tool in the teaching and learning of written forms.
An IDR Framework of Opportunities and Barriers between HCI and NLP

This paper presents a framework of opportunities and barriers/risks between the two research fields Natural Language Processing (NLP) and Human-Computer Interaction (HCI). The framework is constructed by following an interdisciplinary research-model (IDR), combining field-specific knowledge with existing work in the two fields. The resulting framework is intended as a departure point for discussion and inspiration for research collaborations.
Study of sample efficiency improvements for reinforcement learning algorithms

Machine learning is the study of how programmed algorithms can learn useful knowledge from data automatically. As a sub-field of machine learning, reinforcement learning (RL) focuses on problems that require sequential decision making. In particular, it is about interacting with the environment and taking action according to the environment information sequentially to maximizing some rewards. Reinforcement learning attracts many interests due to its recent successes in robotics as well as playing video games, GO, and poker. However, the fundamental challenges in reinforcement learning still limit its applications to real-world, cost and risk sensitive applications. One major challenge is relatively low sample efficiency in most systems. Sample efficiency is a term used to describe how well the samples are used to train the model. Because of low sample efficiency, it requires a huge number of samples to reach a certain level of performance. In most algorithms of reinforcement learning, methods such as experience replay are used to increase the sample efficiency. In the experience replay, a certain number of samples are saved in a buffer and new data will replace the oldest data in the set. When training, data will be randomly selected from the buffer. However, this will generate the problem of distribution mismatch, as the data chosen this way may not match the current model. In my research, methods are designed so that the samples collected from the past can reflect the current model. That will allow the model to use the data more effectively and thus increase its training efficiency.
ZYJ@LT-EDI-EACL2021:XLM-RoBERTa-Based Model with Attention for Hope Speech Detection

Due to the development of modern computer technology and the increase in the number of online media users, we can see all kinds of posts and comments everywhere on the internet. Hope speech can not only inspire the creators but also make other viewers pleasant. It is necessary to effectively and automatically detect hope speech. This paper describes the approach of our team in the task of hope speech detection. We use the attention mechanism to adjust the weight of all the output layers of XLM-RoBERTa to make full use of the information extracted from each layer, and use the weighted sum of all the output layers to complete the classification task. And we use the Stratified-K-Fold method to enhance the training data set. We achieve a weighted average F1-score of 0.59, 0.84, and 0.92 for Tamil, Malayalam, and English language, ranked 3rd, 2nd, and 2nd.
Text – To – Audio Converter

This paper aims to give an overview of Text- to- Speech converter using JAVA script. This report presents the development of a progressive web application of Text- to- Audio converter which is capable of performing different tasks. It can convert the text which is typed in the text box into audio and can also convert a pdf text to audio. Text-to-Audio Converter is a technology that converts written text from a descriptive medium to a spoken language, allowing the end user to easily understand what is written via the audio output.
REVOLUTIONARY BIOSEMIOTICS IN MOSCOW (VERY SUBJECTIVE NOTES FROM A TARTU GRADUATE STUDENT)

This essay is dedicated to my impressions and reflections on the two conferences in Moscow in which I participated in 2019. The first of them is the 19th Gathering in Biosemiotics. The second conference was called «Evolution of Human Capacities to Know and to Act». Both events demonstrated groundbreaking, revolutionary shifts emerging in biosemiotics.
THE EFFECT OF QUESTION ANSWER RELATIONSHIP ON STUDENTS’ READING COMPREHENSION ON NARRATIVE TEXTS

The object of the research was to found the effect of Question Answer Relationship onstudents’ reading comprehension on narrative texts at the tenth grade  SMA Imelda Medan. The sample of this research was the tenth grade students of SMA Imelda Medan. They were class X Mia 1 as the experimental category and class X Mia 2 as the control class. Each category consisted of 25. The use of the method in this research was a quantitative method. The instruments of this research were tests. To choosing the sample on the research the researcher used purposive sampling. The researcher used SPSS 18 for calculation and analysis the data in this research . The value of the research was found that post-test mean score for control class was 77,44, while post-test mean score for experimental class was 82,08. It was also obtained that 2-tailed 0,002 ≤ 0,050. It showed that the H a was accepted and H 0 was rejected. Based on the value of quantitative data analysis, the categorized as higher effect. It indicates that the implementation of Question answer relationship was effective on teaching reading comprehension on narrative text.
Meningkatkan Kemampuan Menulis (BI) Dan Cara Penulisan Nilai Uang (MAMA) Dengan Media Audio Visual Siswa Kelas II SD N 3 Pasar Pangururan Tahun Pembelajaran 2020

This classroom action research was motivated by several factors, including the lack of students' ability to write short stories. The problem in this research is how to improve students' ability to write stories (BI) and how to write money (Mama) using audio-visual media. This study aims to improve students' ability to write stories and how to write the value of money (Mama) using audio-visual media, namely by rewriting in their own words the film that has been watched as an example. This research is quantitative and qualitative. The method used in this research is the method of observation and testing. The research setting is in public elementary schools, namely in class II SD Negeri 3 Pasar Pangururan, with a total of 32 students. The process of implementing the action is carried out in two cycles, and each cycle consists of four stages, starting from the planning stage, implementing the action, observing, and the reflection stage. The quantitative research results in the first cycle with results 69% (class average) and 69% (number of students who completed learning). Whereas in cycle II showed an increase of 84% (class average) and 100% (number of students who completed learning). From this research it can be concluded that using audio-visual media can improve the ability to write short stories and how to write the value of money for Class II SD Negeri 3 Pasar Pangururan in the 2020 academic year. Keywords: Writing, Value for Money, Audio, Visual, Mama
SYNTHESIS OF STRUCTURE OF THE ADDER BY MODULE

The subject of the article is the study of the structure of low-bit binary adders for an arbitrary modulus of the residual class system (RCS). The purpose of this article is to develop an algorithm for synthesizing the structure of the adder of two residuals of numbers by an arbitrary value of the RCS module, by organizing inter-bit connections between the binary digits of the adder, the combination of which determines the structure of the adder modulo. Tasks: to investigate the possibility of performing the operation of addition of two residuals in RCS based on positional binary adders; to analyze the influence of additionally introduced interdigit connections into the positional binary adder on the value of the contents of this adder; to develop an algorithm for the synthesis of an adder by an arbitrary RCS module. Research methods: methods of analysis and synthesis of computer systems, number theory, coding theory in RCS. The following results were obtained. It is shown in the work that the introduction of additional interdigit connections in a positional binary adder allows changing the contents of this adder. The rules for the introduction of these additional links are formulated, on the basis of which an algorithm for the synthesis of an adder by an arbitrary RCS modulus is obtained. Specific examples of the synthesis of structures of binary adders for various values of the RCS modules are given. Conclusions. Thus, the paper proposes an algorithm for the synthesis of an adder by an arbitrary RCS module, which is based on the use of positional binary adders, by introducing additional inter-bit connections. The application of the considered algorithm expands the functionality of positional binary adders
Формування математичної компетентності учнів початкових класів за допомогою інструментів дистанційного навчання

The authors analyzed the distance learning tools used in primary school using theoretical and empirical research methods. They identified effective distance learning tools and pedagogical conditions for the mathematical competence’s development in primary school children. The use of distance learning tools in mathematics lessons contributes to a faster and clearer explanation of educational material in mathematics, pupils’ interest in the subject, creative and critical thinking development, spatial imagination. It is effective to use the following distance learning tools for the mathematical competence’s development in primary school children: for video conferences – online services ZOOM, GoogleMeet, MSTeams, Skype; for live broadcast – YouTube, Facebook, Instagram; for video editing – VideoPad, iMovie, YouCut, InShot, Camtasia Studio, Sony Vegas Pro 10, VideoPad, FilmoraGo; for sharing the educational materials – Google ClassRoom, «New knowledge», «My class»; to diversify the work forms on mathematics lessons – LearningApps, Genially, Padlet, Mural, Jamboard.google; to test knowledge – testers Kahoot, LearningApps, Google Forms, etc.It is determined that the pedagogical conditions for the effective mathematical competence’s formation in primary school children using distance learning tools are the primary school teachers’ awareness of their need; understanding that the main task is to encourage primary school children to learn independently, not just to evaluate them using distance learning tools in a study process.
The evaluation of CUDA performance on the Jetson Nano board for an image binarization task

One of the most preferred platforms or boards for developing 'real-time image-video processing' applications is NVIDIA's Jetson Nano, which is equipped with CUDA that will accelerate the performance. However, there is no research has yet evaluated CUDA performance on the Jetson Nano for Real-Time Image/Video Processing applications. Through this research, an evaluation of the CUDA performance on Jetson Nano will be obtained by running the Thresholding application with and without the CUDA feature. Some of the aspects evaluated from this study are as follows: CPU usage percentage, GPU usage percentage, temperature level, Current Usage on CPU, Current Usage on GPU from the research results, it was found that the CUDA feature does not always provide added value or performance in its use, CUDA will run very effectively when offline (not real-time), but in real-time, the performance with and without CUDA is almost the same.
Паттерны движений: хореографический минимализм Анны Терезы де Кеерсмакер

The  issues  of  creating  a  choreo-musical  artistic  product  are  highlighted. The  mechanism  of  combining  musical  and  choreographic  texts  is  considered. Alternative principles of discreteness and independence and interaction in the creation of a modern choreographic production are described. The necessity of considering alternative approaches to optimizing the interdependence of music and movements in both technological and sensory directions is justified.
An Integrative Conceptual Framework on Employee Performance during COVID-19 Pandemic for Bahrain SMEs

The purpose of this study is to add insight to the integrative conceptual framework on employee performance during the COVID-19 pandemic for Bahrain SMEs. The literature review indicates the effects of motivation, remote work environment, and employee performance during the coivd-19 pandemic. A positivism research approach was used and data were collected through a literature review. The findings from the literature review indicate motivation, remote work environment, and employee satisfaction has a significant effect on employee performance during the COVID-9 pandemic. Also, we addressed some potential guidance and suggestions to help future researchers study the other variables that could impact their employee performance during COVID-19.
ИКТ-ГРАМОТНОСТЬ СТУДЕНТОВ ВЫПУСНИКОВ ПЕДАГОГИЧЕСКОЙ СПЕЦИАЛЬНОСТИ ВУЗА

The article presents results of the survey of ICT literacy of students graduating from a teaching specialty. Knowledge of the types of information and communication technology and the frequency of their use by graduate students in the educational process and in pedagogical practices are defined. The role of the subject ―Practicum of application of IT means‖ which is studied during the 4th year of Bachelor program was established. Most students responded use the Internet, e-mail, photocopy, computer, interactive whiteboard, e-books, PowerPoint, and slides. It was also revealed that there are students who do not use the above listed ICTs at all and even some of them are not familiar with them.
Software Artifact Traceability in Big Data Systems

Traceability is the glue that holds together software artifacts at different levels of abstraction, from system design to software requirements. Traceability links ensure that code is maintainable and can minimize faults stemming from improper implementations, misunderstood requirements, and unexecuted test cases. Effectively, traceability ensures that all aspects of the software design life cycle are interconnected for both assurance and certification purposes. For big data applications, traceability remains a critical activity to ensure that the system can adequately support each big data dimension (i.e., “V”). For instance, a big data application may be subject to unexpected combinations of data types in a JSON packet that may result in an exception error, or alternatively, the rate at which data is received may be faster than the system can support, resulting in dropped packets. This chapter focuses on software traceability in the presence of big data, comprising topics in software traceability, link discovery, and link maintenance.
The Current Situation and Improved Methods of College Students’ Media Information Contact, Cognition and Communication

In the current new media environment of "everyone has a microphone", college students, as the main group staying on the network media for a long time, take the initiative to obtain information through multiple media channels, understand the media information according to their own learning and life experience, and then spread media information creatively. However, in this process, there are also some problems, such as the weak self-control awareness of college students when they contact with media information, the overestimation of their own media literacy level, and the lack of systematisms and sense of responsibility when disseminating media information. On this context, the author puts forward that college students' ability of media contact, media cognition and media communication can be improved by training the thinking ability of the brain and understanding the media information objectively and comprehensively.
A New Three-dimensional Integrated Multi-index Method for CBIR System

This paper proposes a new image retrieval method called the 3D integrated multi-index to fuse SIFT (Scale Invariant Feature Transform) visual words with other features at the indexing level.The advantage of the 3D integrated multi-index is that it can produce finer subdivisions in the search space.Compared with the inverted indices of medium-sized codebook, the proposed method increases time slightly in preprocessing and querying.Particularly, the SIFT, contour and colour features are fused into the integrated multi-index, and the joint cooperation of complementary features significantly reduces the impact of false positive matches, so that effective image retrieval can be achieved.Extensive experiments on five benchmark datasets show that the 3D integrated multi-index significantly improves the retrieval accuracy.While compared with other methods, it requires an acceptable memory usage and query time.Importantly, we show that the 3D integrated multi-index is well complementary to many prior techniques, which make our method compared favorably with the state-of-the-arts.