Reviewerly/exHarmony huggingface dataset:
The Correlation between Personality Type, Learning Motivation, and Ability to Read Poetry of Indonesian 10th Grade Students

The conditions of human personality and motivation significantly influence all activities undertaken, including during the learning process. The ability to recite poetry is one of the learning achievements in the Indonesian language subject in the realm of literature. This research aims to identify the conditions of personality types, learning motivation, and the ability to recite literary poetry in vocational school (SMK) students. In addition to describing each component, these three variables will be interconnected to determine the strength of the relationships that occur. The research method used is a quantitative method with a correlational research design. The population used consists of 10th-grade students at SMKN 12 Surabaya, with the research sample being 32 students from the X-2 class majoring in Creative Metal Crafts and Jewelry. Data collection is carried out using questionnaire and observation techniques. After the data is collected, a multiple correlation analysis is performed with the aim of demonstrating the relationship between the three research variables. The results of this research include: 1) The personality type of X-2 students majoring in Creative Metal Crafts and Jewelry at SMKN 12 Surabaya tends to be introverted; 2) The learning motivation of X-2 students majoring in Creative Metal Crafts and Jewelry at SMKN 12 Surabaya is in the Very Low category; 3) The ability to recite poetry of X-2 students majoring in Creative Metal Crafts and Jewelry at SMKN 12 Surabaya is classified as insufficient or falls into category D; 4) The personality type (X1) and learning motivation (X2) variables together have a positive and significant correlation in the Moderate category with the ability to recite poetry variable (Y), with a correlation coefficient value of 0.526.
Objective assessment of learning outcomes: Peculiarities of design and application of assessment tools in modern conditions of digital development

Introduction. The article deals with the problem of designing and application of assessment tools in the context of objective assessment of learning outcomes in higher education. The aim of the article is to identify the peculiarities of design and application of assessment tools in modern conditions of digital development for the objective assessment of learning outcomes. Materials and Methods. In order to achieve the purpose of the research, the authors used theoretical (analysis of theoretical sources) and empirical (survey of 222 teachers) methods. The data obtained were subjected to quantitative and qualitative analysis. Results. The authors analyzed the approaches to the interpretation of assessment procedures and means in theoretical studies and regulatory documents. The main results of the study allowed to identify a number of problems in the development of assessment tools banks: substitution of the subject of the assessment for the knowledge component; orientation to the development of assessment materials at the discipline level; assessment of the validity and reliability of the designed assessment tools; assessment of teachers’ labor input; the ratio of the used template assessment tools and practical tasks; difficulties in the design of interdisciplinary assessment tools and competence assessment in general; underestimation of the potential of digital environment in the development of assessment tools. Evaluating the problems of designing and applying assessment tools by teachers depended on the subject area they teach and their experience of participation in the development of assessment tools at various levels. The dependence on teachers’professional experience and the position held has not been revealed. Conclusions. Based on the results of the study, conclusions about the types of problems in designing and application of assessment tools in modern conditions are drawn. Practical recommendations are provided.
Influence of Reading Books on Psychological Wellbeing and Decision Making among Higher Secondary Students

The study aims to find out the influence of books reading on Psychological Wellbeing and Decision Making of higher secondary students. Convenient random sampling technique is used for the selection of the sample. A total of 1269 higher secondary students are selected from the city of Chennai. Scale of Psychological wellbeing and Decision Making Scale were administered for the present study to collect data. Results are statistically analyzed through Critical ratio and correlation. Present research concludes that books reading enhances Psychological Wellbeing and decisions making skills among higher secondary students.
PENGARUH PENGGUNAAN MEDIA KOMIK TERHADAP KEMAMPUAN MENULIS KALIMAT PADA KELAS III SD INPRES 15 KABUPATEN SORONG

Learning media is one of the tools used to achieve learning. It is kind of visual or audio. Learning media is easy to understand the material from teacher’s explanation. This research is quantitative method with pre-experimental design. The sample of this research is the third students and the total number is 20 students. To analyse the data is used SPSS application to calculate the result of pre-test and post-test. Based on the result, the average of post-test score is 87.30 with the standard deviation 4.74 and the average of pre-test score is 72.75 with standard deviation 6.27. It means that those scores are calculated statistically to get the score of ttable 0.10 and the significant of paired samples test is 0.00 &lt; 0.05, it indicates that there is an improvement of experimental class that uses comic media in writing sentence. The use of comic media can help the student in writing sentence and students motivate in learning process.
BLOCKCHAIN, A STRATEGIC TECHNOLOGY TO BE ADOPTED BY PUBLIC AND PRIVATE COMPANIES FOR THE BENEFIT OF BRAZILIAN SOCIETY

Purpose: Highlight the strategies used by organizations when using blockchain, the problems and difficulties they face, and how the use of blockchain technologies can help public and private Brazilian companies, understanding their concepts and importance. Theoretical Framework: Blockchain technology emerges to allow transactions to be more secure and transparent and is very important for organizations to make their processes more agile. However, to implement it, it is important to use strategies. Design/Methodology/Approach: Important aspects for the implementation and use of blockchain by organizations, challenges, benefits, essentiality, and the need to obtain this knowledge were analyzed, therefore, four public and private Brazilian companies were analyzed, where a bibliographic review was used and, therefore, exploratory research. Findings: Strategies were identified, such as storing and managing data with blockchain and using cryptocurrencies as a form of payment. The challenges to be overcome are usability, scalability, environmental impact, security, and crime. Public and private companies benefit from lower costs, agility, efficiency, shorter transaction times, customer attraction and greater engagement. Research, Practical &amp; Social Implications: The research was relevant, and the objectives were met, the implications identified proved to be beneficial for companies and society. Originality/Value: The use of blockchain by organizations to address problems and increase business scalability is essential, as it brings greater capacity to control operations in an integrated manner with better communication and greater transparency towards society.
Bio-Inspired Watermarking Method for Authentication of Fundus Images in Computer-Aided Diagnosis of Retinopathy

Nowadays, medical imaging has become an indispensable tool for the diagnosis of some pathologies and as a health prevention instrument. In addition, medical images are transmitted over all types of computer networks, many of them insecure or susceptible to intervention, making sensitive patient information vulnerable. Thus, image watermarking is a popular approach to embed copyright protection, Electronic Patient Information (EPR), institution information, or other digital image into medical images. However, in the medical field, the watermark must preserve the quality of the image for diagnosis purposes. In addition, the inserted watermark must be robust both to intentional and unintentional attacks, which try to delete or weaken it. This work presents a bio-inspired watermarking algorithm applied to retinal fundus images used in computer-aided retinopathy diagnosis. The proposed system uses the Steered Hermite Transform (SHT), an image model inspired by the Human Vision System (HVS), as a spread spectrum watermarking technique, by leveraging its bio-inspired nature to give imperceptibility to the watermark. In addition, the Singular Value Decomposition (SVD) is used to incorporate the robustness of the watermark against attacks. Moreover, the watermark is embedded into the RGB fundus images through the blood vessel patterns extracted by the SHT and using the luma band of Y’CbCr color model. Also, the watermark was encrypted using the Jigsaw Transform (JST) to incorporate an extra level of security. The proposed approach was tested using the image public dataset MESSIDOR-2, which contains 1748 8-bit color images of different sizes and presenting different Diabetic Retinopathy (DR). Thus, on the one hand, in the experiments we evaluate the proposed bio-inspired watermarking method over the entire MESSIDOR-2 dataset, showing that the embedding process does not affect the quality of the fundus images and the extracted watermark, by obtaining average Peak Signal-to-Noise Ratio (PSNR) values higher to 53 dB for the watermarked images and average PSNR values higher to 32 dB to the extracted watermark for the entire dataset. Also, we tested the method against image processing and geometric attacks successfully extracting the watermarking. A comparison of the proposed method against state-of-the-art was performed, obtaining competitive results. On the other hand, we classified the DR grade of the fundus image dataset using four trained deep learning models (VGG16, ResNet50, InceptionV3, and YOLOv8) to evaluate the inference results using the originals and marked images. Thus, the results show that DR grading remains both in the non-marked and marked images.
Ethics: What is the Brazilian Software Engineering Research Scenario?

Background: Ethics is the theory or science of the moral behavior of humans in society. Traditionally, we value “unethical” actions that go against determining morality in a specific context. One of the sub-domains of Ethics is Computational Ethics, which deals with ethical dilemmas that are strictly related to computational issues. Dilemmas in this area involve privacy, improper access, intellectual property, digital norms and laws, power, socio-technical aspects (such as gender discrimination), and robotics, among others. In this context, “Software Engineering” and “Software” are different objects. Engineering is an act, a practice, as also coding, programming, and software reuse. As with any act, moral and subsequent ethical considerations are appropriate. We characterize software as an object of concrete reality, as a sociotechnical system formed by a technical artifact, human aspect, and procedural aspect. This assumption will form the main base discussion of ethics and morals in Software Engineering in this paper. Objective: The goal of this paper is to unveil the Brazilian Software Engineering ethics panorama. Method: We follow the rigor of, and inspired by, a Systematic Literature Review (SLR) protocol to answer the question: how does ethics explicitly permeate the Brazilian Software Engineering publications between the last thirteen years (2010 and 2022)? Results: After analyzing 1529 papers through the research protocol, 175 (≈11%) presented some explicit occurrence of ethical aspects. The occurrence was relevant in only 7 papers (≈0.4%), exposing a shallow scenario on ethical or moral aspects. Conclusions: If Ethics is a topic considered important to deliberate, research or discuss, this did not occur significantly in the Brazilian Software Engineering research scenario since 2010. With this result in mind, we discussed parallel terms and concepts to enrich the contribution of the qualitative synthesis.
Machine Physics and Performance

Advanced Series on Directions in High Energy PhysicsThe High Luminosity Large Hadron Collider, pp. 121-164 (2024) Open AccessChapter 5: Machine Physics and PerformanceG. Arduini, R. De Maria, M. Giovannozzi, G. Iadarola, E. Métral, Y. Papaphilippou, and R. TomásG. ArduiniCERN, BE Department, Genève 23, CH-1211, Switzerland, R. De MariaCERN, BE Department, Genève 23, CH-1211, Switzerland, M. GiovannozziCERN, BE Department, Genève 23, CH-1211, Switzerland, G. IadarolaCERN, BE Department, Genève 23, CH-1211, Switzerland, E. MétralCERN, BE Department, Genève 23, CH-1211, Switzerland, Y. PapaphilippouCERN, BE Department, Genève 23, CH-1211, Switzerland, and R. TomásCERN, BE Department, Genève 23, CH-1211, Switzerlandhttps://doi.org/10.1142/9789811278952_0005Cited by:0 (Source: Crossref) PreviousNext AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail Abstract: The main beam and machine parameter choices and the underlying beam dynamics considerations are reviewed together with the main challenges and expected performance. FiguresReferencesRelatedDetails Recommended The High Luminosity Large Hadron ColliderMetrics History Information© Oliver S Brüning and Lucio RossiThis is an open access article published by World Scientific Publishing Company. It is distributed under the terms of the Creative Commons Attribution 4.0 (CC BY) License.PDF download
Higher Education Language Translation Practices in North Sumatra: Case Study of Lecturer and Student Perceptions

This research explores the multifaceted concept of translanguaging in the context of teaching English as a foreign language in three universities in North Sumatra. Translanguaging, a term encompassing various aspects of multilingualism, is examined as a pedagogical approach that utilizes multiple languages within a classroom setting. The study investigates translanguaging practices among lecturers and aims to address three key research questions: the types of translanguaging practices, perceptions of lecturers and students, and the motivations behind incorporating translanguaging in teaching and learning activities. The research method is a qualitative method with a case study approach model focusing on the exploration of a "bounded system" on one specific case or on some cases in detail by exploring data in depth. Through a combination of surveys and interviews with lecturers, the study identifies eight motivations for the intentional use of translanguaging practices. These motivations include adjusting to students' proficiency levels, clarification, and emphasis, translanguaging as an academic strategy, providing challenges for student growth, considering diverse student demographics, expressing firmness and solidarity, addressing real lexical needs in communication, and expressing group identity. The findings reveal positive responses to translanguaging from both lecturers and students, highlighting its versatility in meeting educational objectives and fostering effective communication in diverse learning environments. The motivations align with existing literature, emphasizing the adaptability and significance of translanguaging in enriching the teaching and learning experience. The study concludes with several insights into translanguaging practices in North Sumatra's universities and recommends possibilities for future research and practical implementation. The proposed recommendations include professional development for lecturers, curriculum design, student training, and calls for more studies in tranlanguaging. Overall, this research contributes to the understanding of translanguaging motivations and offers practical suggestions for enhancing its integration in higher education institutions.
Interactive CBIR System for Various Similarity Metrics Based on Colour Content of Image

The ‘Content Based Image Retrieval’ (CBIR) is a well-known image retrieval system. It has become more popular in recent decades due to its large image datasets. This paper provides a detailed interactive CBIR system for comparing various similarity metrics. Similarity metrics are usually distance metrics that can measure the closeness of the image features. Image retrieval is implemented as user interactive, where users can select various similarity measures for comparison. This interactive or graphical system allows six distance metrics on retinal image retrieval. The reported results confirm that the implemented system performs well.
The Effectiveness of English in Supporting Communication with Customers to Provide the Best Service in the World of Work

This research aims to determine the description of workers' ability to speak English, English is needed to communicate via online media/internet both with fellow actors and with consumers consisting of domestic consumers and tourists. The total sample technique used in this research was 70 people. The description of the characteristics of MSME actors consists of age, education, length of business, and media ownership, while the characteristics of MSMEs are presented based on micro, small and medium business scale. English language skills are measured based on the ability to read, understand and interpret messages on social media. Based on the formulation of research objectives and the results of data analysis tests, it can be concluded that the description of the characteristics of MSME actors mostly includes those of productive age (80%), most of the respondents are male (40%), the education of MSME actors is dominated by undergraduate graduates (60%), and has Most have more than 5 years of experience and most have more than 1(77.14%) media experience. The characteristics of business scale include small scale (50%), only 1.43% of medium scale ones were in the research sample. The description of the English language skills of MSME players is quite good with an average score of 3.32, while the ability to use media has a better average score than English language skills, namely 3.42. The results of the correlational analysis show that there is a very real positive relationship between English language ability and media use ability, which is expressed by an r value of 0.993, meaning that the higher the English language ability, the higher the media use ability.
The dependence of the effectiveness of neural networks for recognizing human voice on language

This study examines the effectiveness of neural network architectures (multilayer perceptron MLP, convolutional neural network CNN, recurrent neural network RNN) for human voice recognition, with an emphasis on the Kazakh language. Problems related to language, the difference between speakers, and the influence of network architecture on recognition accuracy are considered. The methodology includes extensive training and testing, studying the accuracy of recognition in different languages, and different sets of data on speakers. Using a comparative analysis, this study evaluates the performance of three architectures trained exclusively in the Kazakh language. The testing included statements in Kazakhs and other languages, while the number of speakers varied to assess its impact on recognition accuracy. During the study, the results showed that CNN neural networks are more effective in recognizing human voice than RNN and MLP. Also, it was found that the CNN has a higher accuracy in recognizing the human voice in the Kazakh language, both for a small and for a large number of announcers. For example, for 20 speakers, the recognition error in Russian was 21.86 %, whereas in Kazakhs it was 10.6 %. A similar trend was observed for 80 speakers: 16.2 % Russians and 8.3 % Kazakhs. It can also be argued that learning one language does not guarantee high recognition accuracy in other languages. Therefore, the accuracy of human voice recognition by neural networks depends significantly on the language in which training is conducted. In addition, this study highlights the importance of different sets of speaker data to achieve optimal results. This knowledge is crucial for advancing the development of reliable human voice recognition systems that can accurately identify different human voices in different language contexts
Indonesian Twitter Users’ Language Attitude Towards English-Indonesian Code-mixing

Social media users need language as a tool to communicate, both in verbal and written form. Over time, the language used in social media also shows some significant growth. Talking about language in social media, there is an interesting phenomenon recently on social media that can be reached within the internet, namely the code-mixing of Indonesian and English (which in Indonesian are also popularly known as Jaksel language, Keminggris, Kemlondo, Indoglish, Englonesian, or Bahasa Gado-gado). This study is aimed to find out the attitudes of 500 Indonesian Twitter users towards English-Indonesian code-mixing with a questionnaire. This study uses a descriptive-quantitative approach. For the result of each aspect, it shows a quite positive indication: Cognitive aspect 2.92, Affective aspect 2.75, and Conative 2.79. If the three aspects being summed up, also indicated a quite positive attitude towards the code-mixing with point or score 2.82. The attitudes come from many reasons and factors, such as the need for understandability in communication, language prestige, prepossessing or attracting attention, confidence, and language aptitude.
CHARACTERISTICS OF LONELINESS EXPERIENCE AMONG ADOLESCENTS WITH DIFFERENT LEVELS OF SELF-REGULATION

The paper examines the characteristics of adolescents’ loneliness experience via the lens of individual differences in self-regulation. The study included 82 participants aged 13 to 14. The levels of self-regulation were identified by means of cluster analysis. To investigate the specifics of loneliness experience in the groups of respondents with the outlined levels of self-regulation, a Kruskal–Wallis H test was used. The study found statistically significant differences in the characteristics of loneliness experience among adolescent respondents with high, medium, and low levels of self-regulation.
A SMARTPHONE IN A STUDENT’S HANDS: PROS AND CONS

This publication presents the results obtained as part of the search (preparatory) stage of an experiment on the problem of using mobile phones in the educational process. At this stage, the authors summarised the domestic and foreign experience and carried out an individual analysis of their own pedagogical work, including: an interview with the 1st–4th-year university students (“04.03.01 Chemistry” field of study); identification of possible ways for students to use phones for educational purposes; trial inclusion of tasks requiring the use of a smartphone when mastering certain academic disciplines. According to the research, positive and negative aspects of the use of a mobile phone in the educational process were identified, and a number of contradictions related to the ambiguity of understanding the problem under study were revealed