Reviewerly/exHarmony huggingface dataset:
FAIR Assessment Practices

The poster presents FAIR assessment experiences in the context of the two NFDI consortia KonsortSWD and BERD@NFDI, employing the established Research Data Alliance's FAIR Data Maturity Model (RDA-FDMM) and the F-UJI Tool, an automated solution. RDA-FDMM, a manual technique, is more comprehensive, while the automated F-UJI tool effectively detects areas of improvement in metadata presentation that automated means can address. Our experiences highlight the need to examine both machine-readable as well as non-machine-readable elements and acknowledge automated tools' limitations, while valuing their insights. As the research ecosystem advances, metadata representation should be made increasingly machine-readable. We recommend a "FAIR by design" approach from the beginning to ensure alignment with FAIR principles in project outcomes. Continuous assessments during a project’s lifetime promote ongoing research data infrastructure improvements within the NFDI consortia context, contributing to NFDI infrastructure innovation and optimization.
Connecting the Dots

The Helmholtz Centers operate scientific-technical infrastructures that produce a high volume of digital research data, making Helmholtz a hub for expertise in research data. With the rapid digital transformation and growing volume of data, Helmholtz has implemented relevant policies and engaged in NFDI in various ways to manage and use research data effectively. The Helmholtz Information &amp; Data Science Incubator, in particular the HMC and HIFIS platforms, contribute to these networking activities. The Helmholtz Open Science Office organized several internal forums for Helmholtz members to discuss NFDI, their findings will be presented at the Conference on Research Data Infrastructure (CoRDI). Helmholtz' multifaceted commitment to research data infrastructure is closely related to NFDI activities. The presentation at CoRDI will demonstrate how a large national research data ecosystem can be successfully connected to the NFDI network, highlighting opportunities for future collaboration.
An Analysis of Students� Difficulties in Learning TOEFL at Seventh Semester of Universitas HKBP Nommensen Pematangsiantar

The purpose of this study is to investigate the students� difficulties in conducting the TOEFL test in the skill of structure and written expressions. Descriptive qualitative was implemented in this research with students of the seventh semester of English Department of Universitas HKBP Nommensen Pematangsiantar as the data. The result was the most difficult skills faced by the students were skill 25, it was the use parallel structure with paired conjunction, with only 3 students. Some factors causing the skill to be the most difficult was students lost their focus in managing time and they were lack of knowledge and training in practising the section of structure (grammar).
Android-Based Practical Work Student Registration form Application System Design

This system is designed to improve the efficiency of the attendance process through the use of information technology. The system allows students to register for attendance online through an android-based mobile application. Implementation involves developing an application with registration and attendance recording features, as well as student data management. Evaluation involves user feedback to improve performance and functionality. The support of PT PLN (Persero) is very important in the implementation of this system. The hope is that this online attendance system can improve the efficiency, accuracy, and reliability of the attendance process for practical work students at PT PLN (Persero) and provide guidance for other organizations in utilizing information technology.
Importance of Velocity Model Calibration in the Automated Event Detection and Location in Long-Term Microseismic Monitoring

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Students’ Performance Prediction in Higher Education During COVID-19 Pandemic Based on Recurrent Forecasting and Singular Spectrum Analysis

The COVID-19 pandemic is a virus that is changing habits in human life worldwide. The COVID-19 outbreaks in Indonesia have forced educational activities such as teaching and learning to be conducted online. Teaching and learning activities using the online method are familiar, but the effectiveness of this method still needs to be investigated to be applied in all educational systems. This study used the predictive modeling of Recurrent Forecasting (RF) derived from Singular Spectrum Analysis (SSA) to know the online learning method's practicality on the student's academic performance. The fundamental notion of the predictive fusion model is to improve the effectiveness of several forms of forecast models in SSA by employing a fusion method of two parameters, a window length (L), and a number of leading components (r). This study used undergraduate students' grade point averages (GPA) from a public university in Indonesia through online classes during the COVID-19 epidemic. The experiments unveiled that a parameter of L = 14 ( ) yielded the finest prediction using the RF-SSA model with a root mean square error (RMSE) value of 0.20. Such a finding signified the ability of the RF-SSA to project the students' academic performance according to the GPA for the forthcoming semester. Nonetheless, developing the RF-SSA algorithm for greater effectiveness is essential to acquiring more datasets, such as by gathering a bigger group of respondents from several Indonesian universities.
Development of grammatical speaking skills in a foreign language lesson in secondary school using gamification technique

Introduction. Knowledge of foreign languages is now an indispensable condition revealing competence of a specialist in any field. As a result, a foreign language is one of the tools for personal and professional development. However, it should be noted that the motivation to learn a foreign language at the secondary education level is sometimes reduced. The research is aimed at determining the efficiency of introducing gamification technique into the educational process for the successful mastery of grammatical material in the fifth grade of secondary school. The research is based on the material of the German language; however, the proposed teaching technique might be used in the study of other foreign languages. Materials and methods. An experiment to identify the efficiency of using gamification technique for the development of grammatical speaking skills during the education process was performed on the basis of three secondary schools in the Lipetsk, Voronezh and Moscow regions. The initial and final level of development of grammatical speaking skills was determined. In order to assess the role of gamification for development of grammatical speaking skills among students in the fifth grade, a survey of teachers was conducted. Pearson’s chisquared test was used to evaluate the experiment efficiency. Results. During the experiment, the developed set of tasks and exercises aimed at the development of grammatical speaking skills and having formulations characteristic of the game, was tested. The use of the above set of tasks significantly influenced the development of grammatical speaking skills in a foreign language of the fifth grade students (χ2 = 6.290; p&lt;0.05). Scientific novelty. It has been revealed that the use of gamification technique for the development of grammatical speaking skills in the fifth grade students is efficient when combining games with traditional didactic tasks, including those developed using digital tools. Practical relevance. The use of gamification technique in the educational process allows for successful solving of problems of teaching foreign languages being identified during the research. The proposed methodology for the development of grammatical speaking skills in the fifth grade students can be used in the practical activities of foreign language teachers as well as teachers of additional education.
Utilization of the Canva Application for Elementary School Learning Media

The purpose of this research is to develop learning media using the Canva application in elementary schools, for beginners and teachers in elementary schools which are used to create multimedia-based learning media as teaching materials that are used at this time, the decreasing quality of learning at this time especially in among the elementary school level, it is on this occasion that we explain the use and use of the Canva application, the aim is to increase the interest and sympathy of teachers and students in learning and also to facilitate the process of understanding student learning in schools so that it can be said that the quality of education in elementary schools is perfect. This Canva application has several interesting features to offer including ready-to-use templates, icons and illustrations, text, background tips and tricks for using applications, animations and duplication, as time goes by and the use of technology depends on ourselves to use it.
Research on dynamic parameter identification and collision detection method for cooperative robots

Purpose The safety performance of cooperative robots is particularly important. This paper aims to study collision detection and response of cooperative robots, which meet the lightweight requirements of cooperative robots and help to ensure the safety of humans and robots. Design/methodology/approach This paper proposes a collision detection, recognition and response method based on dynamic models. First, this paper identifies the dynamic model of the robot. Second, an external torque observer is established based on the model, and a dynamic threshold collision detection method is designed to reduce the interference of model uncertainty on collision detection. Finally, a collision position and direction estimation method is designed, and a robot collision response strategy is proposed to reduce the harm caused by collisions to humans. Findings Comparative experiments are conducted on static threshold and dynamic threshold collision detection, and the results showed that the static threshold only detected one collision while the dynamic threshold could detect all collisions. Conducting collision position and direction estimation and collision response experiments, and the results show that this method can determine the location and direction of collision occurrence, and enable the robot to achieve collision separation. Originality/value This paper designs a dynamic threshold collision detection method that does not require external sensors. Compared with static threshold collision detection methods, this method can significantly improve the sensitivity of collision detection. This paper also proposes a collision position direction estimation method and collision separation response strategy, which can enable robots to achieve post collision separation and improve the safety of cooperative robots.
Interval valued fuzzy ideals of TM-algebra

We introduce the notion of interval value fuzzy ideal of TM-algebra as a generalization of a fuzzy ideal of TM-algebra and investigate some basic properties. Interval value fuzzy ideals and T-ideals are defined and several examples are presented. The relation between interval value fuzzy ideal and fuzzy T-ideal is studied.
Jointly Learning Structure-Augmented Semantic Representation and Logical Rules for Knowledge Graph Completion

Knowledge Graph Complementation (KGC) aims to predict the missing triples in incomplete knowledge graphs (KGs). However, existing approaches rely either on structural features, semantic features or logical rules. There is not yet a unified way to exploit all three features mentioned above. To address this problem, this paper proposes a new KGC framework, SSL, which jointly embeds structure-augmented semantics representation in the natural language description of triples with their logical rules. First, SSL fine-tunes a pre-trained language model to capture the semantic information in the natural language description corresponding to the triple. Then, for logical rules corresponding to different relation types, we augment them to embeddings of entities and relations to activate stronger representation capabilities. Finally, by jointly training, we can obtain more expressive embeddings for the downstream KGC task. Our extensive experiments on a variety of KGC benchmarks have demonstrated the effectivity of our method.
Topological structures induced by chromatic partitioning of vertex set of graphs

This paper presents a method of constructing topologies on vertex set of a graph G induced by chromatic partition of vertex set of the graph. It introduces colour lower approximation and colour upper approximation of vertex induced subgraphs and acquaints the open and closed sets of the topology generated by chromatic partition on the vertex set of graphs. It explores some of the properties of colour lower approximation and colour upper approximation of vertex induced subgraphs. It also establishes some new subgraphs based on the colour lower approximation and colour upper approximation and some of their properties have been studied.
Exploring and Improving Workflows for the Donation and Curation of Research Data

Managing research data and preparing it for long term archiving at a research data center is a time-consuming, repetitive and error prone process without obvious rewards or incentives. To address these challenges, we aim at the integration of a standard data management tool into one of the research data centers of the German Network of Educational Research Data. The goal is to improve workflows for both, data donors and curators and to explore transferable solutions that allow researchers and curators to work on the same platform when entering and editing metadata.
A. S. Makarenko and the fate of his legacy in nowadays Russia

Introduction. The problem of educating the younger generation is one of the most important in modern Russian pedagogy. Russian scientists and teachers are carefully studying the legacy of their outstanding predecessors, the teachers of the past. Anton Semyonovich Makarenko (1888-1939) is one of such scientists who have left a unique mark in pedagogical science and practice. The article was written in connection with the 135th anniversary of his birth. The purpose of the article is to show the importance of Makarenko's personality in the development of Russian education. As tasks, the author highlights the characterization and evaluation of his achievements in practical work and pedagogical theory, the presentation of previously unknown biographical data of the teacher, his colleagues and relatives. Materials and methods. In the process of working on the article, the author used the following research methods: analysis of historical and pedagogical, memoir and fiction literature on the topic of the work, biographical, historical and comparative methods, as well as axiological (value) approach to the study of pedagogical innovations by A. S. Makarenko. Results. Up to the present time, Makarenko's personality, his practical activities and literary works cause heated debates among Russian practical teachers and theoretical teachers. The author characterizes Makarenko's achievements as a teacher, manifested in a factually reliable and accurate disclosure of the events of the biography of an outstanding teacher and his selfless efforts in the re-education of pupils and the pedagogization of their social environment. Makarenko is shown as a prominent writer and teacher. In fact, he is the founder of Russian artistic and pedagogical literature ("Pedagogical poem", "Flags on towers", "Book for parents"). Conclusion. The Soviet education had developed itself for decades in the main stream of the pedagogy of Makarenko. But the post-Soviet Russian education seems to avoid the Makarenko’s legacy. A. S. Makarenko is one of the most important teachers in the history of Russian education. His personality and pedagogical heritage need further study by historians of pedagogy.
Development and Validation of Lesson Plans based on Growth Mindset Activities

This study attempts to create and validate lesson plans that feature growth mindset exercises. The idea of a growth mindset made popular by psychologist Carol Dweck. She promotes the idea that intelligence and skills can be acquired by hard work, smart maneuvers, and persistence. The lesson plans were developed to improve students' motivation, resiliency, and learning outcomes while encouraging a growth mindset among them. The study took a methodical approach, integrating both theoretical underpinnings and actual application. In order to understand the growth mindset theory, associated teaching methodologies, and existing lesson plans, a thorough assessment of the literature was first done. Using this information as a foundation, a collection of lesson plans that incorporate diverse activities like goal-setting, self-reflection, feedback, and the creation of a positive learning environment were created. Research and Development design (R&amp;D) from Sukmadinata was used in the study. The research contributes to the field of education by providing validated lesson plans that promote the cultivation of a growth mindset. Educators can incorporate these lesson plans into their teaching practices to foster positive learning environments and support students' development of essential abilities like critical thinking, problem-solving, and resilience.
PENGUJIAN PENGEMBANGAN TERHADAP ALGORITMA VIGENERE KEY KRIPTOGRAFI

The process of digital communication through media that is already integrated with the internet requires a security system in order to prevent confidential data from being acquired by unauthorized third parties and misused by these third parties. In order not to know the confidentiality of the data, techniques and algorithms are needed that can make secret messages not understand the meaning of the secret message. One of the data security techniques is cryptography, which can scramble the arrangement of characters that humans understand into characters that are not understood by humans with various languages. This research is the development of the Vigenere Key Kriptography algorithm for the encryption and decryption process in text messages that include all the characters on the computer keyboard keys. The results of the encryption will be in the form of a.txt file which contains cipher text and the results of the decryption will be plain text that appears in the application text box and the test uses the Python programming language. This research can produce cryptographic techniques that can produce ciphertext of all characters on the computer keyboard keys and can scramble text so that it cannot be understood by human language for data security
International Data Access Network (IDAN) for Sensitive Microdata in Humanities &amp; Social Sciences

In a globalized world it becomes increasingly important to provide international research data. This is particularly true in Humanities &amp; Social Sciences. With legal frameworks changing, administrative data can increasingly be utilised both for official statistics and to facilitate new research, enabling the development of evidence-based policy for the public benefit. Secure access conditions generally apply to using these rich, highly detailed level data. However, using data from various sources is difficult when they are fragmented in ‘silos’ between several Research Data Centres (RDCs). While this might be the case at a national level, it is very likely to be the case at an international level. The latter is a major obstacle for international comparative research. The International Data Access Network (IDAN, https://idan.network/) aims at creating a concrete operational international framework enabling access to controlled data for research. The Network was founded in 2018, at the same time when the European General Data Protection Regulation became active. It currently involves six RDCs from France, Germany, the Netherlands and the United Kingdom. Within IDAN, step by step cooperative solutions are developed taking into account the particular legal and security requirements that are at the core of both, national and transnational access to confidential data. Initially, the partners’ access systems are being implemented in each partners’ premise based on bilateral agreements. This process involves combining requirements of security and surveillance for Safe Rooms. It sets up a new concrete environment for researchers to work remotely with data from the other partners from their local RDC. IDAN is a perfect match for the topic “Connecting RDM” regarding confidential data which are a highly demanded by the international research community. The presentation will show the opportunities and obstacles in developing the IDAN infrastructure. Based on discussions with research experts with heterogeneous backgrounds in Europe, it will also discuss researcher’s expectations and needs to further improve access to international research data. IDAN could be a role model for other research disciplines and research infrastructure for pushing the boundaries of international data access.
Model for assessing the influence of scientists based on the global citation network and the history of scientific results

The research considers the actual task of developing a model for evaluating the influence of scientists, taking into account the dynamics of changes in publishing activity. The paper formalizes the concept of the scientist's information environment, particularly the scientist's influence and the subject space. It shows the connection of the information space with choosing scientific partners. The concepts of the dynamic information space of a scientist and the subject scientific environment of a scientist are also introduced. It is established that they are accumulative in nature. As a result, a model for evaluating the influence of scientists based on the global citation network was developed, considering the age of scientific results. The introduction of the aging factor of the publication allows for increasing the sensitivity of the method for evaluating the influence of scientists. The developed model makes it possible to improve the cooperation of scientific teams, which is the basis of the analysis of their productivity.