Reviewerly/exHarmony huggingface dataset:
Perancangan Sistem Perangkap Hama Tanaman Petani Otomatis Menggunakan Modul Mikrokontroler Arduino

An animal can also be called a pest if it causes damage to natural ecosystems or acts as an agent for spreading disease in human habitats. The pest in question is a mouse-like animal that aims to make a trap using a load cell weight sensor with an Arduino microcontroller module. The scope of the problem in this research is the cultivation of maize and paddy fields in Mardingding District, Karo Regency. For testing purposes, 3 trials are used, respectively, corn and rice fields. The variable is limited to animals the size of a mouse. The purpose of this research is to build a plant pest trapping device using the Arduino uno micro controller module which can make it easier to catch pests efficiently. Farmers no longer need to control within a certain period of time. so it can save time and energy to do other jobs. The application is built using the programming language used is the C language and the Arduino IDE with notification to farmers only via short messages via cellphones.
Excessive Sound Exposure on Stage

Placing a large number of instruments on stage will inherently result in a very loud condition on stage. The situation is very critical for a profession which depends so heavily on hearing. As musicians’ groups evaluate the working conditions of being subject to this loud sound level for many hours, there is some question as to how the acoustician can improve the situation. Unfortunately, this is an issue that is mostly independent of the room acoustics. While we do put considerable effort into reflecting sound back to stage to provide acoustic support to the musicians, these do not affect the sound level on stage nearly as much as the direct sound of the instruments.
Language Identification Between Kannada And Malayalam Using Neural Networks

Language identification (LID) is one of the most widely used natural language processing technology. The language identification accurately identify the language from the given raw text corpus. It is one of the classification problem. Malayalam and Kannada Dravidian languages are used as raw text corpus which are morphologically rich in their features. In this work, we used deep learning network approach, focused on RNN, LSTM and GRU to improve the language modelling performance. We show that LSTM and GRU are achieve best performance compared to RNN. GRU is modified versions of RNN and it is similar to LSTM but fewer parameter. LSTM training time is too large than GRU. This paper introduces the language identification and mainly focuses deep neural network learning model for language identification.
Histopathological profile of breast cancer at a tertiary hospital in Malawi: A retrospective cross-sectional study.

Breast cancer is one of the major public health problem in developing countries. In Malawi, cancer of the breast among females is among the top four accounting for 4.9%. The study determined the histopathologic profile of breast cancer in Northern Malawi from July 2013 to June 2018. A record based retrospective cross-sectional study was conducted at Mzuzu Central Hospital. We reviewed 202 histopathological results of breast specimens during the study period. Data was analyzed using STATA version 14.0. Out of 202 clinically diagnosed breast lesions/tumours, 102 (50.5%) were histopathologically confirmed cancerous in nature, and 100 (49.5%) were non-cancerous. Ductal carcinoma was the leading histologic presentation with 68 cases representing 66.7%. Participants in the age group of 70-89 years were 13 times more likely to develop breast cancer (OR 12.66; P-value = 0.001; 95% CI 2.79 - 57.46), compared to those in the age group 10-29 years. The magnitude of breast cancer in Mzuzu Central Hospital, Northern Malawi is alarming (50.5%). Policy makers should emphasise on awareness campaigns for early and routine breast screening, early diagnosis and early treatment.
The Role of a Facilitator in Co-Design Applications for Exploratory Analysis in Domains of High Complexity: The Case of MAHiCGO

Background: Robust and useful tools for exploratory analysis in biosciences are still lagging behind the size and complexity of the biological datasets produced since the completion of the human genome in 2000. A possible reason is that developers are unlikely to understand domain and case-specific requirements of existing research questions. Methods: We formed a design team comprising a visualization expert, a Human Computer Interaction (HCI) researcher, bioinformatics domain experts, and the Principal Investigator (PI) as a `facilitator' filling the communication gap between them. We implemented co-design methodology. Results: We identified the need for an interactive visual analytic tool for exploratory analysis of biological data. We describe the process of developing MAHiCGO, a novel tool for the simultaneous visualization of MA Gene Expression data, Hi-C data and Gene Ontology (GO) information in an interactive manner for the exploratory analysis of biological data. Conclusion: The key finding of this research to include a facilitator role in the co-design is useful in the evolving fields of design research and of bioinformatics, merging computational sciences with biosciences. The findings support in understanding new functional roles in the field of design, in particular design of computer applications in highly complex domains such as bioinformatics, and for highly complex tasks such as exploratory tasks. The findings also stress on the key role of visualization to expand user cognitive capabilities, and of co-design for constant engagement of domain experts in the creation process.
IMPLEMENTING K-MEANS METHOD FOR VISITOR CLUSTERING LIBRARY ITN MALANG

Library of National Istitute Of Technology Malang is one of the facilities and infrastructure that provides various services for providing academic information, while there are collections such as research results, papers, articles, theses and postgraduate theses, there is loan transaction data so far not used further. to also explore patterns of information that might be valuable for use in evaluating book collections and other documentation. Researchers have initiated to produce an application that can group visitors and borrowers using the K-Means method, helping librarians to evaluate information on visits and book borrowing in the ITN Malang library.&#x0D; This research is a Research and Development research based on website-based applications, the method used is the K-Means method, for thesis product develope that needed include system only used for computers , the system can only be accessed by ITN Malang library staff.&#x0D; The results of this study are a product in the form of a website application, the product has a feature, namely the system on the website can provide analysis of information on visitors and borrowers, based on functional testing the whole system is successful and running well, based on user testing, it is known that the percentage of respondents is 50% Very Good, 48% Good and 2% Not Good, based on research concluded that all features can run well on the Mozilla Firefox 83.0 and Google Chrome 87.0.4280.88 browsers, based on testing the majority of users rated very well on application usage.&#x0D;
Picturing a Thousand Unspoken Words

I explore how empathetic visual argument may be the mode best suited for eliciting appropriate force to the reasons given by arguers who face systematic identity prejudices. In the verbal mode, this force is often skewed through epistemic injustice (Fricker 2007), argumentative injustice (Bondy 2010), and discursive injustice (Kukla 2010). Highlighting their reliance on the Aristotelian sense of enthymeme, I show how visual arguments are highly context specific. Using Ian Dove’s Visual Scheming (2016) and the theory of the Retort collective (2004) via case study, I demonstrate how the visual mode can leave the appropriate force in the arguer’s control.
Elements of students educational trajectories individualization retrospective analysis

The article discusses one of the current problems of the educational process implementation effectivenessthe problem of the student's educational trajectory individualization.The theoretical and methodological aspects retrospective analysis of scientific research in the framework of student's educational process individualization (personalization) formation is carried out to identify the most significant advantages of individual students' educational trajectories implementation in modern educational programs.The author's attention is focused on approaches of student's educational process individualization essence and structure content.The analysis showed that the considered topics are widely represented in scientific research of the professional pedagogical community, starting from the end of the 19th century, mainly in the United States of America (USA).The analysis of the individual trajectories transformation allows us to formulate the key advantages of their educational process integration: students independently form the pace of mastering the program; flexibility of approach as the ability to master the discipline materials in the acceptable time, as the ability to adjust the schedule in accordance with their own needs; software and other information technology tools as an auxiliary tool for individualization; ample opportunities to build a trajectory and control the process of forming competencies and intermediate certification in "real time"; an individual trajectory is suitable for educational process various formats; variability of educational technologies and tools of individualization; increasing the students involvement in the educational process; one-to-one training is focused on students with different needs and experiences.The author comes to the conclusion that the significant advantages of student's individual educational trajectories to the educational program's implementation actualize the problem of finding optimal tools and technologies for transforming education in order to make it more targeted and specific for each student.
"Spotto la quarantena": per una analisi dell'italiano scritto degli studenti universitari via social network in tempo di COVID-19

“Spotted” posts represent one of the most popular forms of Computer-mediated Communication (CMC) among university students in Italy, and as such, they represent a privileged context to analyze the Italian language used by students on the Web This kind of informal communication channels is active especially on Instagram, and provides relevant insights on the spontaneous writing of young people Based on Spotted-ITA Corpus, a corpus of over 30,000 posts retrieved from Italian Spotted accounts on Instagram, this paper presents a focus on the period of lockdown in Italy due to COVID pandemics and its immediately preceding period, showing how this corpus can be useful in analyzing the way Italian university students communicated during this unique and extraordinary experience Copyright © 2020 for this paper by its authors
Privacy Detection and Protection for Intelligent Transportation Shared Travel Service

There is a large amount of privacy data in the big data environment. This paper studies the privacy detection and protection for intelligent transportation shared travel service. On the basis of traditional security policy, through the operation of anonymization of private data, the purpose of keeping private data secret under the premise of protecting data characteristics is realized. The anonymized private data can be used by data engineers to upgrade system functions and improve system user experience. In this paper, through the use of Hadoop project HBase tools, complete the data cleaning of privacy data, data desensitization operation. This paper designs and implements a privacy protection scheme for intelligent shared transportation system in big data environment. This paper uses K anonymous protection technology, data encryption technology to achieve the protection of privacy data. In this paper, HBase technology is used to desensitize the privacy data of the server. The experimental results show that the privacy protection scheme proposed in this paper can meet the security requirements of privacy data in transmission, storage and application.
The impact of adopting of assessment for learning and adaptive learning system on students’ foreign language performance

Globalisation has made the learning of foreign language very important, however, to provide effective teaching and learning of foreign languages to achieve better performance (anticipated targets) is necessary to understand the factors influencing teaching, learning, and attainment of learning targets of students. Based on factors such as knowing of course content, knowing of assessment schedule, frequent assessment, feedback after assessment, the adoption of adaptive learning system, and individualized learning environment the paper examines their impact on effective teaching and learning as well as better performance of learners at RUDN University. Using sum of squares regression model, it was found that knowing of course content and frequent assessment positively influence effective teaching and learning, while frequent assessment, feedback after assessment, and an individualised learning environment promote better performance of students by helping attain anticipated targets during their foreign language course. This is instructive to stakeholders to take the necessary steps required to help enhance teaching, learning and performance of learners.
THEATER TEHNOLOGIES IN FORMATION OF SOCIO-CREATIVE PERSOMALITY

This article is dedicated to actual problems of theater technologies usage as one of the conditions of social and creative personality. We have analyzed such methods and approaches to educational influence of the art which stimulate personality`s acknowledgment of social experience, its social and creative development and correspond to integrity of personality development. Questions of social and creative development of the personality are fundamentally described in philosophical and psychological and pedagogical literature. Based on the analysis of scientific resources enabled us to make a conclusion that social and creative personality has a social active and creative profile. Its activity is focused on upgrade and creation of new quality updated forms of social relationship and social reality. It also means mobilization of its intellectual, emotional and physical power which enable him to open abilities, concentrate energy on achievement of society interests. While active participation of the personality in the youth theater creative development takes place. Communication with the art of theater forms personal attitude to the heros and actions which take place in formation of empathetic emotions. It forms special emotional attitude to the surrounding world, ability to the empathy to the heros and actions, actively participate in the actions which take place in the theater. This is the way how personal deep and strong knowledge are formed as well as general and concrete ways of actions. They develop and form internal scheme as basis of practical activity. As a result of obtained social cultural experience is activation of self conscious activity and development of this basic integrity personality skill – empathy, co-creativity which influence the change of the current or building of the new ways of behaviour in correspondence with social rules and human attitude to the environment.
The Impacts of Institutions and Recourses Management Improvement on Economic Growth in MENA Countries (Spatial Models in Panel Data)

The Impacts of Institutions and Recourses Management Improvement on Economic Growth in MENA Countries (Spatial Models in Panel Data)
PENGEMBANGAN MEDIA PEMBELAJARAN MONOPOLI BERBASIS GAME HAGO PADA MATERI VIRUS KELAS X SMA

The purpose of this study is to analys the quality of monopoly based on Game Hago. The Hago Game-based monopoly on virus material for class X SMA is very feasible as a learning medium with the percentage of material experts being 84% (very feasible), media experts being 96% (very feasible). Game-based monopoly Hago gets a response from expert practitioners who are teachers of Biology subjects at the Hang Tuah Tarakan High School of 94% (very feasible) and student responses using Hago Game-based Monopoly learning media are 92% (very good). Keywords: Monopoly based on Hago Game, Quality
Developing Materials of Literary Appreciation of Peace-loving Short Stories to Boost the National Characters through Learning Management System (LMS)

Peace-loving-themed short stories have some potential to reconstruct national characters. Such characters are paramount in response to the lack of tolerance during the millennial era. Such short stories can be implemented through various modes, one of them being short-story appreciation. When the outbreak of the COVID-19 pandemic hit Indonesia, the government suggested shifting schools to online learning. One of the online learning platforms used in Indonesia is the Learning Management System (LMS). The purpose of the current research is to develop via LMS instructional materials for short-stories appreciation using peace-loving-themed short stories that aim at strengthening national characters. This study used the research and development design proposed by Borg and Gall. The instructional materials developed are in the form of e-learning website which consists of formulated tasks of short stories appreciation. The validation test shows that this type of learning material is valid and applicable to be used. The instructional material includes contents focusing on the theme of peace-loving stories. Moreover, the aspects of national characters boosted by this type of material includes tolerance, equality, altruism (caring for others), empathy, and sympathy, which are depicted through the characters in the stories. The forms of tasks are also designed in a way to expose the national characters conveyed in the stories.&#x0D; Keywords: materials, peace-loving short stories, national characters, LMS
Development for performance of Porter stemmer algorithm

The Porter stemmer algorithm is a broadly used, however, an essential tool for natural language processing in the area of information access. Stemming is used to remove words that add the final morphological and diacritical endings of words in English words to their root form to extract the word root, i.e. called stem/root in the primary text processing stage. In other words, it is a linguistic process that simply extracts the main part that may be close to the relative and related root. Text classification is a major task in extracting relevant information from a large volume of data. In this paper, we suggest ways to improve a version of the Porter algorithm with the aim of processing and overcome its limitations and to save time and memory by reducing the size of the words. The system uses the improved Porter derivation technique for word pruning. Whereas performs cognitive-inspired computing to discover morphologically related words from the corpus without any human intervention or language-specific knowledge. The improved Porter algorithm is compared to the original stemmer. The improved Porter algorithm has better performance and enables more accurate information retrieval (IR).
Integration of the automated control system into the educational establishment

This article deals with issues related to the integration of an automated control system into an educational establishment.Here we talk about the main tasks of this project, highlighting possible challenges and potential results.
Nanoparticle-based World – ORIGIN OF LIFE THEORY

Many theories are currently being accepted as possible explanations for the origins of life on early Earth (e.g.Metabolism-first world, Zinc world, Thioester world, RNA world and others).However, discovered enzymemimetic properties of nanoparticles may lead to reconsideration of these theories.Recently, we postulated that one of the stages of chemical evolution could have been associated with nanozymatic activity of different nanoparticles that could form primitive prebiotic photodynamic redox chemical networks with proto-enzymatic activity.Our theory (Nanoparticle-based World) assumes that chemical evolution passed through the nanoparticle-assisted stage and could have led to sustainable metabolism.Formamide-based prebiotic chemistry assumes that formamide could have accumulated in sufficient amounts to serve as a feedstock and reaction medium for the synthesis of the first biogenic molecules.In this work, UV-induced formation (prebiotic scenario) of nanoparticles with xanthine oxidase like activity was demonstrated.All reactants (thiol-containing compounds, metals ions -zinc and cadmium, ammonia and fomamide) were highly probably present on early Earth.
A study and analysis of image security algorithms and the current challenges

To explore the image data security algorithms , especially in terms of data communication.2. To explore the challenges and gaps in the same direction.3. To explore the method's applicability and parametric study.4. To analyse the related results for the impact analysis.
The Impact of Foreign Direct Investment on Productivity of Domestic Firms: The Case of Sudanese Banking Industry

The research expands existing international business literature by exploring the impact of Foreign Direct Investment (FDI) on domestic banks. It investigates how FDI affects the productivity of domestic banks in Sudan. Many countries strive to attract foreign direct investment (FDI) hoping that knowledge brought by FDI will spillover to domestic industries and increase their productivity. In contrast with earlier literature that tried to find positive interindustry spillovers from multinationals, this study focuses on effects operating in banking industry. The analysis, based on firm-level data from Sudan , the results show evidence consistent with positive productivity spillovers from FDI taking place through contacts between foreign affiliates and their local counterparts . The data indicate that productivity spillovers are associated with foreign owned banks.
PEMEROLEHAN KALIMAT ANAK USIA 4 TAHUN STUDI KASUS : ANNISA LAILATUL ROCHMAH

The problem discussed in this study is the variety of sentences, especially in children aged 4 years, This study aims to describe how the various sentences of children at the age of 4 years. Language is a means to communicate between one another. In children language has been formed since the child is still in the womb. Sentences are part of the language, many opinions about the variety of sentences in children, the opinions of the experts developed to follow the times. In this study the range of sentences used is the variety of sentences according to Gorys Keraf. This study aims to describe the variety of sentences in children aged 4 years, research method used is descriptive qualitative research. The data in this research is data which is tangible words, phrases, and sentences that emerged from the speech of 4 year old child, especially from Annisa Lailatul Rochmah as research object. Data were analyzed using descriptive method. After the data were collected and analyzed, there were eighty-six data from three sentences, ie, minimal versus long sentences, minor versus major, and core versus transformational sentences.
Teachers’ self-education forms for students’ key competencies formation

ПЕДАГОГІЧНІ ІННОВАЦІЇ: ІДЕЇ, РЕАЛІЇ, ПЕРСПЕКТИВИ means are key in the recovery processes' optimization.They include: rational planning of educational and independent classes; combination of general and special physical training; optimal construction of classes during the week in the month, semester, year; undulation and variability of loads; the correct ratio of exercise and rest; rational construction of a separate educational or training session; creating a positive emotional background, etc.Prospects for further research are to study the physical means of recovery impact on the level of National Police of Ukraine efficiency.