Reviewerly/exHarmony huggingface dataset:
Mathematical modeling of infectious diseases on the example of Astana city

Infectious diseases are caused by pathogens («microbes»), including viruses, bacteria, fungi and parasites, and are ranked by the World Health Organization as the second leading cause of death worldwide. These infections can cause temporary discomfort, severe tissue damage, or even death. Timely accumulation of complex information about the disease with the introduction of computer data processing into the system of the medical service will increase the level of information support for epidemiological surveillance. The paper considers the concepts and existing mathematical models of the spread of coronavirus infection COVID-19, based on SIR-type models. Variety of models of this type are most suitable for predicting, since the disease has a sufficiently long incubation period and the presence of asymptomatic carriers. A mathematical description of the SEIR model with thirteen variables is given.
SmartNews: An Automatic Approach for Event Detection on Media Platforms

Social Media Platforms (SMPs) are currently the leading media data sources in the world; billions of people’s electronic devices have adopted these SMPs for their use. The users ‘ accounts on these platforms generate massive amounts of data daily. Data have become an essential building block for many organizations of different domains. Recently, media organizations started using social media as a principal source to collect data, mainly news. Having recognized the importance of SMPs and data availability, media organizations are not using these data efficiently. Many media organizations still use and analyze internet data, especially from social media, manually, which leads to many disadvantages. This research proposes a more efficient and automated approach to collecting information from social media. Actually, this paper proposes an integrated framework that can extract data from multiple SMPs and merge them, store them, and finally allow media workers to extract fundamental data (events) automatically and smartly from social media. The proposed framework takes input from a query and finds the following information: top tweets, total likes and retweets on this query, user’s identity, sentiment analysis, and finally, the prediction component that can classify if a particular item has classified an event or not. An advantage of this approach is to help media leaders control and track their performance in the media sector and maintain popularity on the internet. The proposed system has been validated on real datasets collected from different data sources. Findings show that this proposed system has remarkable accuracy, precision, and recall results, after evaluating different machine learning algorithms.
Tamás Demeter, Ted Parent and Adam Toon, (Eds.), "Mental Fictionalism: Philosophical Explorations"

Tamás Demeter, Ted Parent and Adam Toon, (Eds.), "Mental Fictionalism: Philosophical Explorations". An article from journal Philosophy in Review (Volume 42, Number 4, November 2022, pp. 1-48), on Érudit.
Implementing Roleplay Strategy To Help Trainees' Speaking Ability At English Language Teaching Assistance (ELTA) Maluku and North Maluku (MMU) Program

The article focused on the Roleplay strategy and the way to improve trainees' speaking ability. The subject of this research is the ELTA MMU trainees, and the materials used were taken from the concept of Role Play. This research consists of two cycles, with five meetings for the first cycle and three meetings for the second cycle, based on the schedule designed by the researcher. The researcher used oral tests to collect the data, and a questionnaire was used to gain the trainees' responses to Role Play. The data collected from this research shows that ELTA trainees' speaking ability is improved through Role Play. The trainees give positive opinions and responses during the use of Role Play. Based on the data, the researcher concluded that the element of speaking that has more progress for trainees' speaking improvement is comprehensive. The data shows that 9 to 10 trainees scored 3 in the first cycle, but in the second cycle, 8 to 15 participants successfully achieved a score of 4. From the result, it can be proved that the use of Role Play is successful in improving trainees' speaking ability.
The Word Sorts Strategy

This study discussed the use of Word Sort Strategy as a tool in teaching vocabulary. Teaching vocabulary is essential in language learning. The teacher should be able to use appropriate ways for teaching vocabulary so that the students can learn effectively Harmer, as cited in Yulianto 2010:19-20). Most of the students consider that learning vocabulary is difficult so that they lack interest and motivation. Students sometimes could only say and understand some words and could not develop their ideas well in their sentences. Therefore the teachers have a very important role to increase students’ motivation to learn supported by interesting ways as Word Sort Strategy. Word Sort Strategy contributes to increasing the students’ interest and motivation, making the students has a sense of the context of language and Word Sort can be a specific reference point. It can enhance students’ motivation in learning vocabulary.
Using Flashcard as A Media In Teaching Vocabulary For The Eighth Grade Students Of Junior High School

The problem of this study was the students’ vocabulary mastery was still low. This study aims to improve student's vocabulary by using Flash Card for the eighth-grade students of SMP Kristen 1 Dobo. One alternative to facilitating students' problems is by using Flashcards. Flashcards can be used as medium and visual aids that are interesting and helpful for the students and teacher during the teaching-learning process. Vocabulary is essential for students in learning English as a foreign language. Vocabulary is a fundamental and essential thing to know. The purpose of learning Vocabulary is to help the students to be able to communicate and help the students to reflect on their experience, show idea, feelings and also understand any kind of meaning. Common vocabulary will obstruct the students' speaking, listening, reading, or writing. Therefore, the students need to learn vocabulary before the four skills.
Students’ Attitude on Learning English At Junior High Schools in Aru District

The focus of this research is the researcher wants to make a survey to investigate about student’s attitudes on Learning English. The survey has done in November 2020 to December 2020 at five junior high schools in Dobo, eight grades and the researcher also used questioner as the instrument to collect the data from the students. The questioner has divided into multiple choice to gain the information about students interest in learning English, frequency of study English in a week, read the material before class, never absent to study English, make the summaries, read English book, reread materials, submit assignment which is consist of 21 questions and the essay, it is gain about students’ like or dislike, important or not, challenges in learn English, the way to learn English with fun, attitude should be developed and suggestion for the English teacher which is consist of 5 questions. It was taken of ten students from each school. At the end of the research, the result showed that most of the students from five junior high schools in Dobo showed their positive attitude in learn English and the rest of them showed the negative attitude in learn it. It means that the students still have courage to learn English. So hopefully English should be used by students not only at school but it must be started from family, environment and school to improve their English skill.
Getting up close and personal with molecules in virtual reality

Virtual reality (VR) tools let chemists explore proteins and molecules, build and test potential drugs, and collaborate with colleagues remotely. In this video, C&EN reporter Sam Lemonick tries out a VR app that incorporates visualizations of molecules with advanced computational tools—offering a new way for chemists to develop drugs and address other problems—and learns how VR could help scientists use robotic lab equipment. Researchers who are using VR to study SARS-CoV-2 say the tools are giving them new insights about the virus and vaccines. But one scientist cautions that the cost of equipment could limit VR’s potential to address global problems. Learn more at cenm.ag/virtualresearch .
INTERNATIONAL ACTIVITY OF THE DEPARTMENT OF LIBRARY SCIENCE AND INFORMOLOGY OF THE INSTITUTE OF JOURNALISM AT BORYS GRINCHENKO KYIV UNIVERSITY

The article examines the main milestones in the development of international activities of the Department of Library Science and Informmology of the Institute of Journalism at Borys Grinchenko Kyiv University in 2016–2021. The participation of teachers and students of the department in international academic mobility programmes, as well as in international research projects is analysed. Indicators for the development and submission of grant applications are demonstrated, in particular with regard to the winning applications. The scientific publications of the teachers of the department, which were published in the publications indexed in the scientometric databases “Scopus” and “Web of Science”, are analysed. Generalised data on the participation of teachers and students of the department in Ukrainian and international scientific conferences are presented.
EDUCATIONAL, SOCIO-HUMANITARIAN AND PROJECT ACTIVITIES OF THE DEPARTMENT OF LIBRARY SCIENCE AND INFORMATION SCIENCE AT THE INSTITUTE OF JOURNALISM (2016–2021)

The article considers the project activities and socio-humanitarian work of the Department of Library Science and Information Science at Grinchenko University for five years. The aim of the article is to highlight the activities and achievements of both teachers and students of the department during the implementation of the new educational strategy. To achieve this goal, the following research methods are used: analysis of the source base, monitoring of the site of the department, description of the educational and project activities of the department. Attention is paid to the renewal of educational programmes, the introduction of a new specialty, the results of students’ work in the Competence Centers and projects that develop flexible skills of students. The results are an analysis of practice-oriented learning, a description of the implemented plans and active socio-humanitarian activities of the staff of the department and students, interaction with partners. Significant projects aimed at popularising the activities of the Department of Library Science and Information Science, the Institute of Journalism and Grinchenko University are highlighted.
Using RAP (Read, Ask, Put) Strategy to Improve Students’ Ability in Reading Comprehension at Class VIII2 of SMP Negeri 2 Dobo

This study was conducted to determine the effectiveness of RAP Strategy in improving students' reading comprehension at the second grade of SMP Negeri 2 Dobo and also to know students' responses toward the implementation of RAP Strategy in to improving students' reading comprehension. This study used Classroom Action Research (CAR). The procedure of the research consisted of four main steps; planning, implementing, observing, and reflecting through cycles. This study was conducted in two cycles. The instruments were test, observation checklist, and questionnaire. The criteria of success were set by the score &gt;18. The implementation was successful if 75% of the students got the score &gt; 18. The findings showed that the students' scores in the reading comprehension test improved in cycle 2. The data showed that the average score in the reading comprehension test improved from 8 students (32%) who got a fair-excellent level to 25 students (100%) got a fair-excellent level. From these findings, it can be inferred that the RAP Strategy has proven to be able to improve students' reading comprehension. In addition, students presented their positive attitude during the implementation of the RAP Strategy. This could be seen in their responses in questionnaire and observation checklist. Finally, it is suggested that the teacher needs to use an RAP Strategy, especially in teaching reading comprehension. It is also suggested that further researchers can use the result of this research as a reference.
Teachers’ Strategies in Teaching Reading at Junior High Schools in Sirimau Sub-District

The purpose of this research is to explain the understanding of teachers about the method of teaching reading comprehension, the techniques that are widely used, the challenges encountered by the teacher and the approaches that have been found to solve these problems. This used the template of the survey using a hybrid approach, where the results were gathered in quantitative and qualitative terms. The subjects of this research were 35 junior high school English teachers in Ambon city. The data collection method was questionnaire, survey and assessment checklist. The findings revealed that the technique plays a significant role in English reading practices; the techniques enable teachers to conduct their teaching tasks faster and well-arranged. Mostly, students use speaking aloud, summarization, vocabulary development, skimming, and testing. In the end, the teachers themselves and the students were faced with the challenges of using the technique in the teaching and learning process. The approaches used by teachers to solve the challenges were enhancing students' knowledge of vocabulary, inspiring pupils, and introducing different methods for teaching literacy. Teachers need to expand their understanding of techniques in the teaching and learning process.
Clear the Floor: One Library’s Approach to the Removal and Integration of Items from Two Print Journal Collections

Due to the desire for more student space at the University of New Mexico Health Sciences Center, the Health Sciences Library and Informatics Center reviewed its serial holdings both in the library and in its offsite storage facility and determined which titles to retain and discard. This paper will briefly describe the selection process and then discuss the methods and phases of the project used to discard material in two shelving locations including auctioning material, donating material to another library, removing unselected material, and repurposing material for a decorative noise-abatement wall. This paper will also discuss the process of integrating items selected for retention from two shelving locations in separate buildings into one shelving location. The author will share the lessons learned throughout the project.
A user study on asking clarifying questions in web search

Asking Clarifying Questions (CQs) in information-seeking systems is becoming more attractive, because of its advantage to discover the users' underlying information needs. In the multi-turn information-seeking sessions, CQs may be of different qualities and can be asked in various orders. Therefore, it is critical to understand and measure how the order of CQs and their quality affect user behavior and satisfaction. In this presentation, we present a user study to investigate to what extent the CQ quality trajectories (i.e., asking CQs of different qualities in chronological order) affect user behavior and satisfaction, on both query and session levels. Our user study is conducted by deploying an online experimental system, in which users are asked to interact with CQs and the system in order to complete a set of Web search tasks. The study highlights that the trajectory of CQs does affect the way users interact with Search Engine Result Pages (SERPs), e.g., asking preceding low-quality CQs before high-quality CQs lowers user behavior measures, i.e., users interact with SERPs less extensively, while users interact with SERPs more extensively when they have seen preceding high-quality CQs before low-quality CQs. Our study also demonstrates that asking follow-up high-quality CQs alleviates the earlier negative impact of low search performance and user satisfaction caused by the low-quality CQ. In addition, only showing high-quality CQs while hiding low-quality CQs receives better gains with less effort. That is, always showing all CQs may be risky and low-quality CQs do disturb users. Further, based on observations from our user study, we propose a transformer-based model to predict which CQs to ask, aiming to avoid disturbing users.
Book genre suggestions based on using algorithms

A scientific study of statistical models and algorithms is known as machine learning. K-N N and matrix are two machine learning methods utilize in this study factorization. The BX books dataset is used in the system for recommending books. Collective selection and material-based sorting systems are both employed the suggestion method as a selection strategy. To offer to a customer the "rank" or "first alternative" for an element, pattern filtering is used. Information regarding the customer's initial choice on unique subjects related to movies, literature, travel, TV, and business, among other things, was collected during the suggestion process. On the other hand, a system for selecting and recommending that works makes use of the customer's past performance or history. Cooperative sorting is a technique for analyzing and comparing categories among users.
Realtime Object Detection and Disease Prediction of Visually Impaired People

In order to detect objects, this research combines real-time object identification with appropriate deep learning techniques. In our study, we describe the creation of a real-time system for item recognition, classification, and position estimation in the open environment. Blind and visually impaired people daily deal with a variety of difficulties. The proposed plan's goal. Computer vision is used to precisely identify indoor items. Those who are blind or visually challenged can use navigational aids, The Technology for navigation of the blind is not sufficiently accessible, without vision it can be challenging for visually impaired persons to navigate through rooms or different road paths .The main aim to develop the project is to help the visually impaired people and to detect the obstacles .The blind persons life become easier and without anyone helps they can walk alone through street they does not need anyone to assist them they can handle their self correctly. The preventing users from dangerous location our aim is to collected from environment (cameras, sensors, scanners, etc.) and transmitted to the users to the audio format. Data in the healthcare industry consists of all the information related to patients. Herea general architecture has been proposed for predicting the disease in the healthcare industry
The Diverse Names Generator: An app for decreasing bias and promoting inclusion

It has been well established that example sentences in linguistics use a remarkably non-diverse set of proper names in terms of gender, culture, and ethnicity (e.g., Macaulay &amp; Brice 1997, Cépeda et al. 2021, and Kotek et al. 2021). Here, we introduce a new resource, the Diverse Names Generator (DNG), which provides randomly selected proper names with IPA transcriptions from a user-contributed, linguist-curated database of names from a wide range of languages and cultures. Generating names randomly helps users to overcome unconscious bias that may lead them to default to using Anglophone, male-gendered names. The DNG can be accessed both through a website interface and through a downloadable Android app, both with offline capabilities. This novel resource is the first of its kind and can be used both while preparing examples ahead of time and while generating examples live in the classroom.
That’s the Wrong Lung! Evaluating and Improving the Interpretability of Unsupervised Multimodal Encoders for Medical Data

Pretraining multimodal models on Electronic Health Records (EHRs) provides a means of learning representations that can transfer to downstream tasks with minimal supervision. Recent multimodal models induce soft local alignments between image regions and sentences. This is of particular interest in the medical domain, where alignments might highlight regions in an image relevant to specific phenomena described in free-text. While past work has suggested that attention "heatmaps" can be interpreted in this manner, there has been little evaluation of such alignments. We compare alignments from a state-of-the-art multimodal (image and text) model for EHR with human annotations that link image regions to sentences. Our main finding is that the text has an often weak or unintuitive influence on attention; alignments do not consistently reflect basic anatomical information. Moreover, synthetic modifications - such as substituting "left" for "right" - do not substantially influence highlights. Simple techniques such as allowing the model to opt out of attending to the image and few-shot finetuning show promise in terms of their ability to improve alignments with very little or no supervision. We make our code and checkpoints open-source.
ANALYSIS OF LIABILITY OF INTERNET INTERMEDIARIES FOR COPYRIGHT INFRINGEMENT AND PENALTY PROCEDURE

Internet intermediaries, such as search engines, social media platforms, and hosting services, can potentially be held liable for copyright infringement that occurs through their platforms.This liability arises from the fact that intermediaries may play a role in facilitating or enabling such infringement, even if they are not the ones directly responsible for it.To address this issue, many countries have established legal frameworks that aim to balance the interests of copyright owners with the need to promote innovation and free expression on the Internet.One such framework is the Digital Millennium Copyright Act (DMCA) in the United States, which provides a "safe harbor" for intermediaries who comply with certain requirements, such as promptly removing infringing content when notified by a copyright owner.However, the liability of intermediaries for copyright infringement is still a complex and evolving area of law, with different jurisdictions taking different approaches.Overall, the liability of intermediaries for copyright infringement is a complex legal issue that requires careful consideration of the various interests at stake.While intermediaries can play an important role in facilitating access to information and promoting free expression, they must also be held accountable for any harm they may cause to copyright owners.
Motivation to the behavior of use and exchange of digital educational resources by rural teachers

This study analyzes the technical-educational problems that prevent or enable information to be shared within the faculty of rural educational units. They have generated data that evidences the need to create a space for the distribution of knowledge and content associated with the Digital Educational Resources (DER) proposed by Wang, Tigelaar and Wilfried in their text "Rural teachers sharing of digital educational resources: From motivation to behavior".&#x0D; The work identified the style of socialization of information or literature conceived in four educational units of the Ecuadorian community located in the provinces of Los Ríos and Guayas respectively. A demographic and experiential sampling was carried out with 127 samples executed and 123 samples validated through a reliability index of Cronbach and Robustness-aware 2-bit quantization in real time. The results indicate that the internal and external motivation of the faculty allow to visualize the understanding and behavior of the human resource to share knowledge. These indicate that it is possible to achieve a strategic curriculum plan through the mitigation of barriers, promoting an improvement in educational quality.