Reviewerly/exHarmony huggingface dataset:
Preface

Welcome to 2023 International Conference on Computational and Mathematical Methods in Engineering, which was held in Qingdao, China on 29-30 July 2023! As the editor of this proceeding, I’m honored to present this special issue to you. The CMME2023 aims to provide a platform for scholars and researchers in related fields to exchange ideas and present their research results. It covers engineering issues and is designed to provide readers with an opportunity to gain a comprehensive understanding of cutting-edge research. With the rapid development of technology, engineering computing plays a crucial role in the field of natural science and practical applications. Through the cross-integration of computer science, mathematics and engineering, improve the theory and application of engineering computing. The study of engineering computing and mathematical methods, not only helps us better understand and explain phenomena, but also provides us with opportunities to optimize design and improve efficiency. We are committed to publishing high-quality, original, and practical articles, covering a wide range of research fields, such as structural mechanics, fluid mechanics, electronics and communication engineering, etc. Meanwhile, we also welcome submissions from different backgrounds and professional fields, and promote interdisciplinary collaboration and knowledge sharing. To ensure the scientific and reliable content, journal quality and academic standards, all papers undergone peer review by using a rigorous peer review system. Each submission is reviewed by anonymous experts and will only be accepted for publication after passing rigorous review. This guarantees the quality and accuracy of the published articles and allows readers to rely on these research results with confidence. We would like to express our deep gratitude to the authors who participated in this CMME, as well as all the anonymous reviewers, who filled in the content of this proceeding and provided valuable comments and suggestions. Here, you will find a series of inspiring and forward-looking articles covering the latest research in various fields. We hope that these articles will stimulate your thinking and provide you with valuable reference and guidance as you practice engineering computing and mathematical methods. We also hope that through the promotion and dissemination of this proceeding, we can further promote the development of the field of engineering computing and make positive contributions to solving major problems in engineering practice. Finally, I would like to thank all the contributing authors, reviewers and editorial team for their hard work and support. Sincerely hope that CMME2023 can provide valuable information for your research and practice in related fields and make positive contribution. We can’t wait to see you at next CMME 2024! CMME2023 Organizing Committee 2 August 2023
Analysis of Mathematical Elements for Programming Education Presented in Finnish 1st and 2nd Grade Elementary Mathematics Textbooks

Since 2016, Finland has been implementing programming education in elementary school mathematics. This study analyzed Finnish first and second grade elementary mathematics textbooks and tutorials that reflected programming education. Previous studies on programming were analyzed to extract mathematical elements for programming instruction, and based on the extracted sequence, rules, selection, variables, possibilities, logic elements, functions, and algorithm, the contents of elementary mathematics textbooks in Finland were analyzed. As a result of the analysis, in Finnish mathematics textbooks, activities suitable for programming learning were evenly presented by utilizing all content elements as a whole, and a separate lesson for programming was also organized. In addition, the basic content of programming suitable for the student level was presented mathematically, and the level was changed and presented as the grade level went up. Looking at each element, activities for variables and logic elements accounted for a large part, and students were provided with opportunities to learn various mathematical elements related to programming during the first and second grades of elementary school. Based on these results, this study is expected to provide significant resources for applying programming to mathematics education in Korea.
Analysis of Research Trends on the Career Development Competencies of College Students: Focused on Journals Published in Korea

The purpose of this study was to analyze research trends on the career development competencies of college students in South Korea. A total of 25 papers were analyzed, selected from the Academic Information Service (RISS) using keywords 'undergraduate' or ‘college’ and 'career development competencies'. Key findings are as follows. First, studies on career development competencies of college students have been consistently published since 2002, peaking in 2015, primarily in education-related journals. Second, the majority of research subjects were 4-year college students. Third, most studies focused on enhancing career education by exploring the relationship between career development competencies and related variables. Fourth, in terms of research method, it was found that quantitative research conducted as cross-sectional studies were the most. Fifth, the measures of Heejin Sung and Seung-il Na(2012) were the mostly used to measure the career development competencies. In addition, the sub-factors were self-understanding, major and occupational knowledge, career decision certainty, decision-making efficacy, relationship utilization efficacy, and job search skills. Sixth, career development competencies of college students were most often used as a dependent variable and had a positive relationship with employment support service experience, career exploration behavior, employment possibility, major satisfaction, and career decision-making. Based on the research findings, several future research directions in the area of the career development competencies are provided.
WAVE: A media installation exploring the poetics of emergent crowd behavior

‘The Wave’ is a term that references a behavior pattern often observed in stadiums featuring large crowds such as those that gather during sporting events. During this ritual, individuals follow a sequence of movements; standing up, throwing their arms up into the air, and sitting back down. These individual actions are synchronized with the movements of other individuals in close proximity. The result is an undulating visual pattern of a rising and falling wave that sweeps across the crowd, much to the amusement of its participants.
SENTIMENT ANALYSIS IN TEXT BASED SYSTEMS USING MACHINE LEARNING TECHNIQUES

The goal of this work is to apply machine learning based models in order to understand text based inputs. The project’s purpose is to use machine learning based models in real world applications such as chatbots. Using artificial intelligence based machine learning models leads significant improvement in real world applications, reducing human labor costs. Keywords: artificial intelligence, machine learning, intelligent systems, nlp, chatbots, nlu, sentiment analysis, text-based systems, supervised learning, classification, deep learning, text preprocessing, sentiment classification.
IRRIGATION SYSTEM PROBLEM BASED ON Z-INFORMATION

In this paper an automatic intelligent irrigation system is considered. Irrigation regimes for agricultural crops provide the determination of scientifically based norms of irrigation, depending on the soil, physiological, climatic and technical characteristics of the irrigated array. In modern irrigation systems, the parameters of irrigation regimes are calculated similarly to traditional methods. But to solve the problem of efficient irrigation, it is necessary to take into account the weak formalizability, which makes it difficult to use accurate mathematical models to describe the control system. The solution of this problem would be partially possible if there were a large number of qualified experts who, taking into account the linguistic nature of the variables, are able, using their experience without constructing any dependencies, to determine the optimal irrigation rates. In the absence to date of such reference experts in intelligent irrigation planning systems, mathematical models based on Soft Computing should come forward. Our model is based on Z-information as an important qualitative attribute of information on which decisions are based is its reliability. The concept of Z-number relates to the issue of reliability of information, especially in the realms of decision analysis. Z-number valuations, take into account the uncertаinty of the experts` opinion in estimаtion of the options. Keywords: Z-numbers, uncertainty, reliability.
QWriter: A Reinforcement Learning-Based Robot for Early Literacy Acquisition

Robot-assisted language learning produces comparable results to human tutors in a long-term study with elementary school children.
Lessons from Ph.D. Fieldwork: A Conversation with Dr. Azra Ismail

interview Open Access Share on Lessons from Ph.D. Fieldwork: A Conversation with Dr. Azra Ismail Authors: Vishal Sharma Georgia Institute of Technology Georgia Institute of TechnologySearch about this author , Azra Ismail Emory University Emory UniversitySearch about this author Authors Info & Claims XRDS: Crossroads, The ACM Magazine for StudentsVolume 30Issue 1Fall 2023pp 70–73https://doi.org/10.1145/3611688Published:20 October 2023Publication History 0citation0DownloadsMetricsTotal Citations0Total Downloads0Last 12 Months0Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteView all FormatsPDF
DEVELOPING PROFESSIONAL SKILLS OF FUTURE TEACHERS OF ENGLISH IN MIXED-ABILITY GROUPS

The ultimate goal of pedagogical education is to prepare specialists who possess a sufficient level of professional competence and are able to teach successfully at school. To achieve this goal, it should be taken into account that students in one academic group may differ in a number of characteristics, such as their cultural and social background, motivation, learner styles, level of academic performance in different subjects, etc. The study aims to set out guidelines for developing professional skills of future teachers of English while working in mixed-ability groups.&#x0D; The analysis of students’ academic performance in the courses of methodology and General English leads to the conclusion that the levels of professional skills in one academic group may differ considerably from student to student and that the acquisition of these skills is in many cases affected by students’ level of language command, but the impact in question is not limited to this factor.&#x0D; The study also outlines the particularities of teaching methodology in comparison with teaching English to ordinary learners. In the process of teaching methodology, it is recommended; 1) to consider students’ level of communicative competence; 2) to identify the reasons for the discrepancy between students’ levels of communicative and professional skills and to take these data into account while developing the course; 3) to use differentiated instruction explicitly; 4) to adapt the process and product of teaching (but not the content) to the students’ needs; 5) to delegate responsibility for differentiation to students; 6) to use all modes of interaction (whole-class activities, individual work, work in homogeneous and heterogeneous groups). Following these guidelines by methodology teachers may increase the chances for pre-service teachers of English to acquire all the professional skills stated in the educational program by the end of Year 4.&#x0D; Further research in this field involves: 1) developing the algorithm of teacher actions in planning and using differentiated instruction while teaching the course of methodology to pre-service teachers of English; 2) working out a set of activities for teaching the course of methodology to pre-service teachers of English and verifying the effectiveness of these activities via conducting a pedagogical intervention.
TRAINING OF FUTURE SPECIALISTS WITH HIGHER EDUCATION FOR PROFESSIONAL AND COMMUNICATIVE INTERACTION

The research outlines important aspects of the preparation of highly qualified specialists aimed at increasing the efficiency of their professional activity by improving their communication skills, which are used to transfer significant amounts of information of crucial importance for professional decision-making.&#x0D; The article studies the formation of personal competences of future specialists with higher education with the priority of communicative competence as the basic means of prospective students’ training. The authors focus the attention on development of key competences that are formed in the process of learning humanitarian subjects as well as on determining the aspects of the competence approach in education. Thus, the main features of key competences of prospective specialists are distinguished and analyzed.&#x0D; The article studies the concept and the essence of the competence approach and its practical implementation into the system of higher education. The authors have identified that the formation of the communicative competence is a reliable tool of creative-motivational thinking formation in the higher education seekers.&#x0D; It is concluded that according to the results of the research conducted, professional self-realization is an important component of the system of personal self-development of the modern specialists, as well as the formation of professional competences. Communicative competence is identified as the activity aimed at improving future specialists’ personalities in accordance with professional requirements. In particular, the professional culture of a student-foreigner is determined as a set of practical and spiritual attributes that determine the quality of their professional activity, which are closely related to their intellectual, general pedagogical and psychological, methodological, and informational, theoretical, practical and cultural activities as well.
Is ReLU Adversarially Robust?

The efficacy of deep learning models has been called into question by the presence of adversarial examples. Addressing the vulnerability of deep learning models to adversarial examples is crucial for ensuring their continued development and deployment. In this work, we focus on the role of rectified linear unit (ReLU) activation functions in the generation of adversarial examples. ReLU functions are commonly used in deep learning models because they facilitate the training process. However, our empirical analysis demonstrates that ReLU functions are not robust against adversarial examples. We propose a modified version of the ReLU function, which improves robustness against adversarial examples. Our results are supported by an experiment, which confirms the effectiveness of our proposed modification. Additionally, we demonstrate that applying adversarial training to our customized model further enhances its robustness compared to a general model.
Semi-Supervised Classification of Collapsed Building Using Remote Sensing, In-Placed Sensors, and Fragility Functions

In this paper, we demonstrate the application of a new methodology for rapid identification of damaged areas to the case of the 2016 Kumamoto earthquake sequence. The method aims to integrate Synthetic Aperture Radar (SAR) imagery, fragility functions, and intense ground motion maps to calibrate a neural network changes detector in SAR images. All the necessary data was collected within a remarkably short period, maintaining relevance to real-world applications. Our findings indicate that minimal labeled data, such as from just six collapsed buildings, is sufficient for optimal neural network calibration. Upon validation with third-party data, this approach achieved an 84% accuracy rate, suggesting its potential as an effective tool during the crucial post-earthquake response phase, as it can provide decision-makers with crucial information to efficiently organize and allocate resources, such as sending aid, food, and rescue squads to the most severely affected areas.
Pengaruh Motivasi Belajar dan Self Efficacy Terhadap Kemandirian Belajar Siswa pada Mata Pelajaran Praktikum Akuntansi Perusahaan Jasa, Dagang dan Manufaktur Kelas XI Akuntansi Keuangan Lembaga (AKL) di SMK Negeri 1 Negara

This research aims to determine the influence of learning motivation and self efficacy partially and simultaneously on self regulated learning students in the subject of Practicum Accounting for Service, Merchandising and Manufacturing Company class XI AKL at SMK Negeri 1 Negara. This research uses a quantitative approach, causal comparative type. The research population is all students of class XI AKL at SMK Negeri 1 Negara totaling 144 students with a sample 108 respondents obtained using probability sampling with simple random sampling technique. Data collection was carried out through observation, questionnaires and in-depth interviews which were analyzed descriptive and multiple linear regression which were tested through SPSS. The results of the research stated: (1) learning motivation influences self regulated learning, with a Tcount 7.514 &gt; Ttable 1.983 and Sig. 0.000 &lt; 0.05 so that H1 is accepted, (2) self efficacy influences self regulated learning, with a Tcount 3.153 &gt; Ttable 1.983 and Sig. 0.002 &lt; 0.05 so that H2 is accepted, (3) learning motivation and self efficacy simultaneously influence self regulated learning, with a value of Fcount 177.284 &gt; Ftable 3.08 and Sig. 0.000 &lt; 0.05 so H3 is accepted. Self regulated learning students 77.2% influenced by learning motivation and self efficacy, it can be seen that the coefficient of determination is 0.772.
Specificity, Authenticity, and Inseparability: Assessing Integrated Oral Skills for Pilots and Air Traffic Controllers

Because the stakes are so high when assessing the oral language skills of pilots and air traffic controllers, they deserve to be tested in the use of the most specific language features of aviation English and in the most authentic context of their professions. In this talk I will discuss the problem of defining language specificity for professional purposes, the problem of reproducing authentic contexts in assessments, and the problem of the inseparability of language knowledge and professional background knowledge. In terms of specificity, I will talk about “Codes of Relevance,” which relate language use to specific professional contexts. The notion of authenticity is paramount since, unless pilot and ATC test takers can relate to the professional context in a realistic manner, then the judgments we make concerning their language abilities may not be valid. Finally, I will discuss the consequences of the notion that language knowledge and professional background knowledge are theoretically and practically inseparable.
HUMAN CREATIVE POTENTIAL AS A DRIVING FORCE OF MODERN SOCIETY

The statement of basic materials. The concept of creativity is multifaceted, which is why it is studied in different ways. But we should pay attention to the philosophical aspect of creativity. Because it is philosophy that reveals the phenomenon of creativity in terms of ontological content and the generation of something new. Plato emphasized that the fruit of God's creativity is the world order, which is based on divine contemplation, which in turn is revealed as reasonable in the process of human creativity. This idea was developed as “creation out of nothing”, which justified the idea of the divine creation of the world in the realm of pure spirit. It should be noted that philosophers of the Middle Ages considered the concept of creativity in two aspects: theistic and pantheistic. The former is based on the understanding of creativity as the command of a divine personality - God is the creator of the world and man, and he not only created the world but also controls it through divine providence. The latter aspect of creativity is based on the Platonic understanding of creativity as the mind contemplating itself. Creativity is a social phenomenon; it is not possible without a carrier, that is, an individual or society as a whole. An individual, in turn, reveals himself or herself through creativity; he or she has a certain creative potential, capabilities that establish his or her ability to create. In addition, creative potential is an important resource for creative activity. It is also important to take into account that creativity can be considered on different scales and in different spheres of human activity. The concept of a “creative person” means not only the presence of creative potential, but also the ability to use this potential to implement creative ideas. Thus, an individual's ability to transform the surrounding reality, i.e. the socio-cultural environment, is possible only if he or she has creative potential. Creative potential, in its turn, is characterized by a combination of creative abilities, peculiarities of creative thinking and internal resources of a person. It should be noted that creativity and creative potential are key success factors in areas where creative approaches are required, such as science, philosophy, art, etc. It is important to support and develop people's creative abilities so that they create new ideas and products that will change the world around us. Thus, the contradictions that arise between society and individuals in solving social problems can be overcome by actualizing the creative potential of the individual.
A Window into the Multiple Views of Linked Data

RDF mapping engines enable access to existing heterogeneous data sources as RDF Knowledge Graph (KG). However, these mapping engines have two challenges: i) processing streaming data sources with changing velocity efficiently, ii) and providing a rich variety in the format of the generated KG output. To tackle these challenges, I carry out my research in 3 steps. I will first design a highly scalable data stream mapping solution to handle dynamic velocity of streaming data sources. Preliminary results indicate that our stream mapping solution outperforms state of the art engines with lower latency, constant memory usage, and higher throughput. I will then refine this architecture in a task-based fashion, aiming to be a common architecture for any kind of mapping. Finally, I will utilize the common modular mapping architecture and extend it with a component to derive an intermediate representation of the data mapping process, enabling heterogeneous to heterogeneous data mapping. The combined solution will provide a highly scalable heterogeneous to heterogeneous data stream mapping engine, enabling us to have multiple views of the underlying KG.