Reviewerly/exHarmony huggingface dataset:
Deposit of Intellectual Activity Results: Challenges and Opportunities of Open Access and Open Science for Ukraine

The aim of the article is to study the place of the process of depositing the intellectual activity results within the paradigm of open science; to summarize relevant international developments; to offer their use for the transformation of the deposit system in Ukraine.&#x0D; Research methods. The article uses a set of general scientific methods of generalization and analysis, synthesis and forecasting, as well as special library science methods, which made it possible to achieve the declared goal.&#x0D; Scientific novelty of obtained results lies in grounding the need in modification of policies and procedures for depositing intellectual property results, and the creation of necessary infrastructure, taking into consideration the concepts of open access and open science, as well as the corresponding international practice.&#x0D; Main conclusions. The open science paradigm implementation is a current world trend, which enables immediate and constant access to the results of scientific research and data. Many challenges are brought about by this tendency for both scientists and those ones in charge of publishing, storing, and preserving data, such as libraries. The transformation of the system of intellectual property results depositing in Ukraine should take into account the best international experience in the development of research infrastructure, and the creation of repositories of publications and data; ensuring their compatibility and interoperability; more active introduction of the culture of preprints and open review; the development of public license and copyright policies; the needs of relevant research and practices in the field of digital curatorship. Especially, all the highlighted above should be viewed in the aspect of the National Open Science Plan which was approved in Ukraine in October, 2022, the need for integration with the European Open Science Cloud, and the new version of the Law of Ukraine “On Copyright and Related Rights”, which has entered into force since January 1, 2023.
THE VIOLATING OF POLITENESS MAXIMS FOUND IN CLASSROOM INTERACTION BETWEEN TEACHER AND ENGLISH STUDENTS

Politeness is a way to convey expressions smoothly, nicely and politely in verbal communication. Politeness is also required to be carried out in official forums such as the learning and teaching process in the classroom. In this case, the researcher is interested and raises the title of violation from the maxim of politeness in language teaching and learning interactions in the seventh semester students. The purpose of this study is to describe objectively the politeness maxims violated by teacher or students in the class interaction. This research is a qualitative research and the source of data in this study is in the form of conversations between students and teachers that have been copied or converted into written form. Based on the data analysis, it can be concluded that the deviation of politeness maxims in teaching and learning interactions occurs in all politeness maxims, namely the maxim of wisdom, maxim of generosity, maxim of praise, maxim of humility, maxim of agreement, and maxim of sympathy. The maxim that most violated appear in wisdom maxim, generosity maxim, agreement maxim, and sympathy maxim with three violation of each. While the violation that occurs the least is the maxim of humility which only appears once. Violations from these maxims occur due to various behaviors, such as giving harm to others, having bad thoughts, criticizing and putting others down, self-
Simple and Efficient Chaotic Based Method of Message Cryptography

A simple and easy to implement method of secret message cryptography will be introduced. The message to be encrypted-decrypted is to be converted to binary matrix, this matrix is to be reshaped to 16 columns matrix, and the contents of this matrix will be rearranged base on the contents of the generated indices key. A chaotic paramaters included in the private key will be used to run a chaotic logistic map model to generate a 16 elements chaotic key, this key will be sorted to get the required indices key. The proposed method will be flixeble and it will be used to encrypt-decrypt any message with any length. Changing the message or/and changing the key will not affect the method. The produced decrypted message will be sensitive to the selected PK, any changes in the private key in the decryption process will produce a carrupted unreadable message. The proposed method will be tested and implemented using various in sizes messages, the obtained result will be used to prove the sensitivity, quality and efficiency of the proposed method.
Desiderata for the Data Governance and FAIR Principles Adoption in Health Data Hubs

The objective of this study, as part of the European HealthyCloud project, has been to analyse the data management mechanisms of representative data hubs in Europe and identify whether they comply with an adequate adoption of FAIR principles that will enable data discovery. A dedicated consultation survey was performed, and the analysis of the results allowed to generate a set of comprehensive recommendations and best practices so that these data hubs can be integrated into a data sharing ecosystem such as the future European Health Research and Innovation Cloud.
Design of Intelligent Home Planting Robot Based on MR Technology

The purpose of this paper is to explore the interactive mode of intelligent home planting robot based on MR technology. In recent years, China's green plant industry market is expanding, the residential economy is developing rapidly under the epidemic prevention and control, and the smart planting machines used at home have attracted much attention. The design of intelligent home planting robot was explored in this study, which could provide reference for the design of related home intelligent products. Market research, literature research, user interview and user collaborative design methods to analyze the current design trend and user needs of home intelligent robots were adopted in the research. The results show that the development of labor courses in urban primary and secondary schools was affected by the epidemic, and there were some problems of children with less exposure to outdoor activities and a low understanding of vegetables. In order to meet the needs of children for home planting and understanding of green vegetables, our research team completed the design and output from the directions of human-computer interaction, appearance and modeling, sustainable development and plant demand visualization. The intelligent home planting robot is designed to grow green vegetables at home, which can compost degradable waste as raw materials. Based on MR technology, the real-time feedback of plants through operation interface and cartoon expression, which is of great research value and reference significance.
Evergreen: A Mixed Reality Transformation for Experiencing Plant Dyeing

Plant dyeing is a traditional process of dyeing with plants, which is natural, environmentally friendly and safe. However, in modern times, due to the widespread popularity of low-cost chemical dyeing and changeless conventional exhibition forms, plant dyeing is gradually losing people's attention. With an increasing urgent need to promote this sustainable ancient handicraft, the transformation and evolution of conventional plant dyeing exhibitions are of great importance, towards experiences that are helpful for the public to understand courses of plant dyeing, during which the advocated products bring people the aesthetic satisfaction and consumption desire. To enhance the effectiveness and improve the learning experience of exhibition activities, we applied MR (Mixed-Reality) technologies to construct an environment by merging the real and virtual worlds. Allowing participants to interact with the coexisting physical and digital objects, this MR environment sets up an interactive feedback information loop between the virtual world, real world and participants, intensifying the sense of reality in user experience. In this paper, we designed a transformation of promotion from traditional physical exhibitions to mix-reality ones, and implemented Evergreen, a MR interactive space that allows people to experience plant dyeing. As it was demonstrated at an art exhibition in Xiamen city, China, we conducted user tests on site to verify the effectiveness of this proposed transformation.
Correlation between Dominant Sensory Mechanisms during Interaction Processes with Virtual Products and Human Interaction Cycles

Through the exploration of Human Behavior with the use of networks as well as the Tetrachoric Coefficient (TC), it was sought the relationship between the active Dominant Sensory Mechanisms (DSM) during the interaction processes with 3 Virtual Products in 3 groups of users., and the Human Interaction Cycles (HIC) performed by each user. The DSM of each user was obtained from the number of repetitions of each Sensory Mechanism (SM) registered in each network. Likewise, the HICs were determined based on the attention of the person in a certain factor of the Virtual Product (VP), its breakage was considered the end of the attentional process and the number of breaks of each attentional process was counted like a cycle. The results obtained suggest the existence of a varied dependency in the dichotomy: Dominant Sensory Mechanisms and the cycles of human interaction executed in each Virtual Product. Likewise, the results obtained from the Tetrachoric Coefficient (TC) show a directly proportional relationship between the DSM and the HIC in the first two groups of users. However, the results show an inversely proportional relationship in the third group of users. Likewise, the second and third User Groups were the ones that showed the greatest relationship between the DSM and the HICs. In this sense, the results of the second group of users show that the greater the dominance of DSM, the greater the HIC. In the case of the third group of users, it was shown that the greater the DSM, the lower the HIC.
PENERAPAN PEMBELAJARAN LITERASI DIKELAS DAN PEMANFAATAN MEDIA PEMBELAJARAN POLIS (POHON LITERASI) PADA SISWA KELAS 1 SD KARTIKA XIII-1 AMBON

This article describes the Thematic KKN program which is a form of activity that provides learning experiences for students to live in the midst of society outside the campus. I became one of the students of the Thematic KKN located at SD Kartika XIII-1 Ambon, Waihaong Village, Nusaniwe District. The University focused our Thematic KKN on the importance of literacy learning for students in schools and the use of learning media in the classroom. Literacy for students is an important point, besides that it is important for schools and teachers to raise awareness of the importance of control to students in class learning using learning media. By implementing literacy in the classroom and utilizing learning media, it is hoped that students can grow into a generation that can think critically. Using a qualitative approach with a case study type of research, the results of research and interviews and observations conducted show that the role of Thematic KKN students at SD Kartika XIII-1 Ambon in learning Literacy in the classroom and utilizing learning media to students and also increasing parents' awareness of the importance of control to children in the learning process at home, shows that it is very beneficial in increasing the resources and potential of students at school
The Effectiveness of Politeness Achievements on Students’ Academic performance

A way to be polite is to be polite. It is a wonderful quality. It demonstrates discipline. It means treating other people with consideration and respect. Each individual needs to hear beneficial things and see great ways of behaving towards themselves. As a result, it's critical to treat others with respect and kindness. Being polite is more than just saying nice things to other people; it also includes how we treat the animals and environment around us. For the most part, individuals show graciousness to senior faculty, this is a perilous pattern in a humanized world. Politeness is a sensitive topic, but till now there are no studies focusing on the politeness. The current study focuses on the politeness of the students at the Iraqi universities. It is a qualitative study since it conducted a number of in-depth interviews with both lecturers and students. The results show that politeness does play a role in the academic performance of the students.
A corpus-assisted critical discourse analysis of hate speech in German and Polish social media posts

The present paper investigates linguistic data that include hate speech motivated by the alleged or real ethnic or national identity of its addressee in German and Polish Internet-based communication. Focusing on hate speech on Facebook, this paper contributes to the studies of hate speech (e.g. Meibauer, 2013; Meibauer, 2021) in online communication (e.g. Baider &amp; Constantinou, 2020; He et al., 2021; Founta &amp; Specia, 2021) and, in a more general sense, to the vast area of research on the use of aggressive language. Based on a representative corpus, the predominant categories of user-generated hateful statements are teased out relative to their form and stance by means of critical discourse analysis and corpus linguistics tools. In the analytical part, we discuss the discursive practices used in the posts, together with the meanings they communicate, followed by a comparative analysis of their frequencies in comparable corpora. Our findings confirm that hate speech is linguistically conditioned by its socio-cultural context. For instance, our contrastive analysis of German and Polish online data indicates that the two nationalities use different discursive practices to express their aversion to the Other, and that Polish comments are more overtly insulting than German comments.
The Role of Morphological Variation in Evolutionary Robotics: Maximizing Performance and Robustness

Exposing an Evolutionary Algorithm that is used to evolve robot controllers to variable conditions is necessary to obtain solutions which are robust and can cross the reality gap. However, we do not yet have methods for analyzing and understanding the impact of the varying morphological conditions which impact the evolutionary process, and therefore for choosing suitable variation ranges. By morphological conditions, we refer to the starting state of the robot, and to variations in its sensor readings during operation due to noise. In this article, we introduce a method that permits us to measure the impact of these morphological variations and we analyze the relation between the amplitude of variations, the modality with which they are introduced, and the performance and robustness of evolving agents. Our results demonstrate that (i) the evolutionary algorithm can tolerate morphological variations which have a very high impact, (ii) variations affecting the actions of the agent are tolerated much better than variations affecting the initial state of the agent or of the environment, and (iii) improving the accuracy of the fitness measure through multiple evaluations is not always useful. Moreover, our results show that morphological variations permit generating solutions which perform better both in varying and non-varying conditions.
Bipartite Ranking Fairness through a Model Agnostic Ordering Adjustment

Recently, with the applications of algorithms in various risky scenarios, algorithmic fairness has been a serious concern and received lots of interest in machine learning community. In this article, we focus on the bipartite ranking scenario, where the instances come from either the positive or negative class and the goal is to learn a ranking function that ranks positive instances higher than negative ones. We are interested in whether the learned ranking function can cause systematic disparity across different protected groups defined by sensitive attributes. While there could be a trade-off between fairness and performance, we propose a model agnostic post-processing framework xOrder for achieving fairness in bipartite ranking and maintaining the algorithm classification performance. In particular, we optimize a weighted sum of the utility as identifying an optimal warping path across different protected groups and solve it through a dynamic programming process. xOrder is compatible with various classification models and ranking fairness metrics, including supervised and unsupervised fairness metrics. In addition to binary groups, xOrder can be applied to multiple protected groups. We evaluate our proposed algorithm on four benchmark data sets and two real-world patient electronic health record repositories. xOrder consistently achieves a better balance between the algorithm utility and ranking fairness on a variety of datasets with different metrics. From the visualization of the calibrated ranking scores, xOrder mitigates the score distribution shifts of different groups compared with baselines. Moreover, additional analytical results verify that xOrder achieves a robust performance when faced with fewer samples and a bigger difference between training and testing ranking score distributions.
Penerapan Particle Swarm Optimization Untuk Meningkatkan Kinerja Algoritma K-Nearest Neighbor Dalam Klasifikasi Penyakit Diabetes

The study aims to apply the KNN algorithm to classify diabetes by combining the PSO algorithm as a selection so as to obtain the best accuracy from the KNN algorithm in classifying, so that it can be applied to diagnose diabetes. This research consists of several stages of research including dataset collection, data pre-processing, data sharing, finding the optimal k-value to the classification process and performance or accuracy testing. From this research, the accuracy of the KNN algorithm before feature selection using PSO is 75% at k-optimal 19 and after feature selection using PSO is obtained an increase in accuracy to 77.213% at the same k value with features that affect the pima dataset, namely Glucose, Blood Pressure, Skin Thickness, Insulin, BMI, Diabetes Pedigree Function, and Age. Thus the use of KNN with PSO feature selection can be used to identify diabetes because it has a much better level of accuracy.
The role of leadership in the process of remembering and forgetting: An experience report

This research highlights the importance of preserving the collective memory of organizations to harness past experiences, lessons learned, and best practices, from the process of remembering and forgetting. It sought to answer the following question: what is the role of the process of remembering and forgetting in learning from the collective memory of managers, after changes in work processes through the pandemic. The general objective is to describe the observation of how social memory impacts the process of remembering and forgetting. The methodology applied is a social study, descriptive with the method of experience report, of the observations of the working group of managers for the remodeling of the work activities of the emergency care units located in Fortaleza-Ceará, and managed by the Institute of Health and Hospital Management. It is observed that memory management, from the process of remembering and forgetting, should be naturally practiced within the organization, to avoid wasting time, and financial resources, creating something that the unit already has. It is also concluded that the approaches reinforce the notions that organizational memory plays a crucial role in the creation of competitive advantage and the sustainability of organizations.
Anthropometric Study of Facial Index and its Clinical Implications among Medical Students in Devdaha Medical College and Research Institute, Rupandehi, Nepal

Background: The human facial contour has always been an interesting subject for anatomists, anthropologists, plastic surgeons and artists. The purpose of study was to create and evaluate data on face anthropometry. Methods: A descriptive cross-sectional study was conducted in 200 medical students studying at a ter­tiary care hospital during the period of 5th September 2022 to 5th February 2023 after ethical clearance from the institutional review committee (Ref. No: 194/079/080). Simple random sampling was done. Data were collected, entered in Statistical Package for Social Sciences version 20. Results: We observed that mean indices of the facial height was10.43± 0.84, facial width was 12.40±0.68,range of facial height was 9.31-13.01 and range of facial width was11.10-15.13 cm. Mesoprosopic face was predominant among female whereas leptoprosopic face type was more common among male population of the study. The most common face type was mesoprosopic and the uncommon was hyperleptoprosopic. The least common face among men was Europrosopic while among women was hyperleptoprosopic type. There was significant difference in the male and the female facial index. Conclusions: A higher index for all the parameters was seen among males than females. The data obtained may be useful in anthropological research, forensic, genetic research, as well as in medical clinical practice.
Analisis Penilaian Keterampilan Menulis Karangan Narasi Menggunakan Media Visual pada Siswa Kelas V SDN Kalideres 06 Pagi

This study aims to analyze the assessment of skills in writing narrative essays using visual media in fifth grade students at SDN Kalideres 06 Pagi. Regarding the skills of writing narrative essays, there are many obstacles faced by students, especially in expressing their ideas or thoughts in written form, students' lack of interest in reading, difficulties in determining the object of writing, difficulty in arranging the right words in standard language, and thinking that writing is something which is unpleasant. Therefore, the solution to overcome these obstacles is by using visual media because it can attract students' understanding to be skilled at writing narrative essays. This type of research used is qualitative research with descriptive methods. Data collection techniques in the form of observation, interviews, documentation, and test. The research subjects were teachers and students of grade V. The results obtained in this study were that students achieve the highest score of 90 and the lowest score of 55, it is important for students to increase their scores. In assessing the teacher gives scores according to indicators in writing using visual media including conformity with pictures, accuracy of the meaning of the whole story, and accuracy (words, sentences, spelling, and grammar).
Perancangan Prototipe Web Diseminasi Sensus Pertanian 2023 dengan Responsive Web Design

After carrying out the complete enumeration in the 2023 Agricultural Census, BPS is obliged to present the data that has been obtained through data dissemination, one of which uses a website. However, the previous census web dissemination, ST2013, only got usability testing results of 66.19% and mobile device users had difficulty viewing information on the web. Therefore, we need a ST2023 web dissemination that has a responsive design on all screen sizes. To overcome this problem, researchers conducted a study to design a responsive 2023 Agricultural Census Dissemination Web Prototype using Responsive Web Design techniques. The prototype was then evaluated using usability testing and got a result of 81.64%. Responsiveness and compatibility tests on various browsers have also been carried out and got the results that the prototype is responsive on all screen sizes and performs well in most browsers on different devices.