Reviewerly/exHarmony huggingface dataset:
A Semantic Mapping Method of Relation Representation Enhancement for Few-Shot Knowledge Graph Completion

Few-shot knowledge graph completion (FKGC) tasks involve determining the authenticity of triple candidates using a small number of reference triples with a given relation. Intuitively, the expression of relation features contributes to the close correlation among the triples with the same relation. Therefore, the relation features are not comprehensive enough, leading to the fact that the triples cannot learn sufficient association information for the FKGC task. In this paper, an enhanced relation semantic representation model is constructed for associative reference triples from both aspects of external structure and internal semantics. On the one hand, as the structure around the triple is helpful to understand the relation semantics implicated in the triple, a graph convolution network with attention and relation features is proposed to obtain the graph structure features. Furthermore, the local structure information of triples can be used to learn the deep relation semantics. On the other hand, entity information can enhance the perception of the relation semantics in the triple. Afterward, in order to associate the triples with the same relation by enhanced relation semantics, a semantic mapping method is proposed, which uses shared merged variables to map the relation, entity, and graph structure features into the same embedding space. Finally, a prototype network based on attention convolution is established to extract the relation prototype representation, and then classify query triples to achieve the purpose of completing the knowledge graph. Through experimental verification, the proposed model achieves excellent performance on two datasets commonly used in the FKGC.
Development of Performance Culture of Orchestra Conductors in the Process of Master's Training

The purpose of the article is to study the development of the performance culture of orchestra conductors in the process of master's training in order to ensure the further successful employment of future specialists. Research methodology. The research used general scientific (generalisation, comparison, induction, and deduction) and empirical-theoretical methods (analysis, synthesis) to understand the literature on the article issue. System-structural analysis using a whole range of methods (semiotic, cultural, theoretical generalisation) enabled comprehensive understanding the stated issue. Scientific novelty. The scientific novelty of the results obtained in the article is determined by the solution of an important scientific task, which consists in developing theoretical provisions and practical recommendations regarding the development of the performing culture of orchestra conductors in the process of master's training. The article further developed the study of the performance culture of orchestral conductors. Conclusions. It has been established that conducting is defined as one of the varieties of musical performance art, which expresses the art of managing a musical team. It has been found that orchestral conducting is based on a system of hand movements, which requires an orchestral conductor to have comprehensive education, musical and theoretical training, active will, good memory, fine hearing, synthesis of psychological and informational principles. It has been determined that the manual technique in the system of expressiveness of the orchestra conductor serves as a subtle and perfect channel for transmitting the dynamics of artistic feelings, the inner feeling of the artistic image, which is manifested in the gesture, look, and facial expressions of the orchestra conductor. It has been found that the performing culture of an orchestra conductor carries not only the worldview of the author, but also the style of an orchestra conductor, which is distinguished by perfect aesthetic views, interests, and tastes. It has been determined that the performance culture of an orchestra conductor at its highest level acts as the ability of an orchestra conductor to consciously assimilate, form, actualise, multiply, preserve, and transfer professional value to increase the effectiveness of conducting activity.&#x0D; Key words: performance culture, orchestra conductor, orchestra conducting.
Backtracking and k-Nearest Neighbour for Non-Player Character to Balance Opponent in a Turn-Based Role Playing Game of Anagram

Anagram is a turn-based role-playing game where two players construct words by arranging given letters. A significant aspect of playing a game is the challenge. A good challenge comes from an opponent with a close ability. In a two-player game like Anagram, the second player can be a nonhuman player called Non-Playable Character (NPC). A balanced game is more engaging. Therefore, it is imperative to insert artificial intelligence (AI) into an NPC to make it possess a balance ability. This study investigates the AI algorithm that is the most appropriate to make a balance NPC for Anagram games. We tested three scenarios: Descending AI, Random AI, and AI with k-Nearest Neighbour (k-NN). Descending AI gets an Anagram solution by selecting a word with the highest score from all possible answers. Random AI picks a word randomly from the possible answers, while AI with k-NN chooses a word closest to one of the human players. The results show that Descending AI is the best algorithm to make the strongest NPC, which always gets the highest score, followed by Random AI and AI with k-NN. However, AI with the k-NN algorithm makes the constructed NPC has the highest number of turns at an average of 18, while Descending AI gets 14 turns and Random AI has 15 turns. Looking at the remaining lives at the end of the game, AI with k-NN makes the NPC has 25 lives left, while Descending AI has 59 lives, and Random AI has 48 lives. Less remaining lives suggest that NPC containing AI with the k-NN algorithm matches closer to the human player and therefore is more suitable for Anagram NPC.
Prospectivity Mapping of Heavy Mineral Ore Deposits Based upon Machine-Learning Algorithms: Columbite-Tantalite Deposits in West- Central Côte d’Ivoire

This study aimed to model the prospectivity for placer deposits using geomorphic and landscape parameters. Within a geographic information system (GIS), spatial autocorrelation analysis of 3709 geochemical samples was used to identify prospective and non-prospective targets for columbite-tantalite (Nb-Ta) placer deposits of Hana-Lobo (H-L) Geological Complex (West- Central Côte d’Ivoire, West Africa). Based on mineralization system analysis, hydrologic, geomorphologic and landscape parameters were extracted at the locations of the identified targets. Supervised automatic classification approaches were applied, including Random Forest (RF), K-Nearest Neighbors (KNN) and Support Vector Machines (SVM) to find a prospectivity model complex enough to capture the nature of the data. Metrics such as cross-validation accuracy (CVA), Receiver Operating Characteristic (ROC) curves, Area Under Curve (AUC) values and F-score values were used to evaluate the performance and robustness of output models. Results of applying machine-learning algorithms demonstrated that predictions provided by the final RF and KNN models were very close (κ = 0.56 and CVA = 0.69; κ = 0.54 and CVA = 0.68, respectively) and those provided by the SVM models were slightly lower with κ = 0.46 and CVA = 0.63. Independent validation results confirmed the slightly higher performance of both KNN and RF prospectivity models, compared to final SVM. Sensitivity analyses of both KNN and RF prospectivity models for medium and high-grade Nb-Ta deposits show a prediction rate of up to 90%.
Characteristics of the formation of inmutational processes in an institution of tertiary education

The aim of the article is to present the characteristics of the formation of inmutational processes in an institution of tertiary education, as well as to describe possible ways of counteracting the influence of inmutational processes. The research methodology is based on the general scientific and special methods of cognition such as analysis, synthesis, logical method, monitoring, and the method of visualisation of research results. The scientific novelty. The peculiarities of the formation of inmutational processes in an institution of tertiary education have been determined, a model of external inmutation in the formation of a negative image has been developed. The result of such influence might be a negative attitude towards an institution of tertiary education, a decrease in the number of applicants, and a model of internal inmutation, the result of which is the imposition of someone else’s opinion, the absence of a critical mindset among candidates. Possible methods of counteracting the influence of inmutational processes in the process of forming a negative image of institutions of tertiary educational are introduced. Conclusions. The article presents two scenarios of the formation of inmutational processes with the participation of representatives of the external and internal target audience of an institution of tertiary education in the form of models of external and internal inmutation during the formation of a negative image of an institution of tertiary education. Empirical confirmation of the formation of inmutative processes in Ukrainian institutions of tertiary education is provided, in particular, the results of a survey among students of ten SAIUP participating universities into their awareness of the criteria for evaluating academic disciplines, as well as into the ‘freedom’ of choosing academic disciplines are given. The main aspects of the information strategy of counteracting the formation of inmutational processes in the creating of the image of an institution of tertiary education are defined as follows: systematic monitoring of external information resources; formation and support of the information presence of an institution of tertiary education; conducting an effective, targeted PR campaign; work for an internal target audience.&#x0D; Keywords: inmutational processes; institution of tertiary education, negative image, inmutated inmutants.
FasterAI: A Lightweight Library for Neural Networks Compression

FasterAI is a PyTorch-based library, aiming to facilitate the use of deep neural network compression techniques, such as sparsification, pruning, knowledge distillation, or regularization. The library is built with the purpose of enabling quick implementation and experimentation. More particularly, compression techniques are leveraging callback systems of libraries, such as fastai and Pytorch Lightning to propose a user-friendly and high-level API. The main asset of FasterAI is its lightweight, yet powerful, simplicity of use. Indeed, because it has been developed in a very granular way, users can create thousands of unique experiments by using different combinations of parameters, with only a single line of additional code. This allows FasterAI to be suited for practical usage, as it contains the most common compression techniques available out-of-the-box, but also for research, as implementing a new compression technique usually boils down to writing a single line of code. In this paper, we propose an in-depth presentation of the different compression techniques available in FasterAI. As a proof of concept and to better grasp how the library is used, we present results achieved by applying each technique on a ResNet-18 architecture, trained on CALTECH-101.
THE ROLE OF THE DIGITALIZATION OF LEARNING MEDIA ON THE QUALITY OF LEARNING

The school functioned as a place to educate and forge students into complete individuals. Schools, through existing facilities, must be able to prepare students to be competent in the digitalization era. Efforts to improve the quality of learning during the current pandemic must be in the process of improving and updating the learning media used. This study aims to determine the role of digitalization of learning media on the quality of learning at SDN Bronggang Baru. The method used in this study is qualitative, with a focused interview approach carried out through several stages. The observations were made to obtain an initial picture regarding digitization at SDN Bronggang Baru. Based on these observations, a literature study was conducted to provide a theoretical analysis of digitalization in schools based on previous research and expert opinions. Data collection and processing are done based on the results of observations and literature studies that have been performed as well as the effects of focus group discussions. This research shows that the output of digitalization of learning media implemented at SDN Bronggang Baru positively impacts the quality of learning for the entire academic community in the school environment. Digitizing education makes the transfer of information easy and fast. Services to students can be maximized with the digitalization of this education. The digitalization of education can be the forerunner to realizing an intelligent school with an insight into the future.
Origin and development of multilevel library and information education on the Аfrican continent

The purpose of the article is to characterise the main stages of the evolution and current vectors of development of tertiary library and information education in African countries. Research methodology. Complex application of systematic, historical, and comparative approaches, as well as empirical methods of scientific cognition enable revealing the main stages of evolution of tertiary library and information education on the African continent, determining the factors that influence its development and modernisation and contribute to the gradual transition to a multilevel model and transformational educational standards. The scientific novelty of the work is based on the results of comparative and content analyses of the Bachelor, Master, and Ph.D. degree programs in the Library and Information Sciences at African national universities in historical retrospective. These results reveal the main stages of development of Library and Information tertiary education, as well as vectors of its modernisation on the African continent. Conclusions. The study of the genesis of library schools in African universities, as well as content analysis of the introduced educational programs in training specialists at different educational levels allowed determination of the main stages of the evolution of tertiary library education on the African continent. In particular, these stages are as follows: the stage of emergence (early 1960s – late 1980s), the stage of active development (1990 – 2000s), and the stage of modernisation changes (2010s – present). However, even now, only 10 per cent of African countries have educational units that provide two or three levels of tertiary library education. The main factors behind the slow development of multilevel library and information education in African countries are the insufficiency of academic and teaching personnel who would ensure the high production rate of Masters and Doctors of Philosophy in the field of Library and Information Sciences; underestimation by African countries’ governments of the role of high-quality training for information specialists and, as a result, an annual reduction in the number of budget places in the Library and Information Sciences specialty; poor organisational, methodical, technical, and technological infrastructure for ensuring the educational process.&#x0D; Keywords: tertiary library education, Africa, history of tertiary library education, digitisation of education, diversification of library science educational programs.&#x0D;
Uncertainty Ordinal Multi-Instance Learning for Breast Cancer Diagnosis

Ordinal multi-instance learning (OMIL) deals with the weak supervision scenario wherein instances in each training bag are not only multi-class but also have rank order relationships between classes, such as breast cancer, which has become one of the most frequent diseases in women. Most of the existing work has generally been to classify the region of interest (mass or microcalcification) on the mammogram as either benign or malignant, while ignoring the normal mammogram classification. Early screening for breast disease is particularly important for further diagnosis. Since early benign lesion areas on a mammogram are very similar to normal tissue, three classifications of mammograms for the improved screening of early benign lesions are necessary. In OMIL, an expert will only label the set of instances (bag), instead of labeling every instance. When labeling efforts are focused on the class of bags, ordinal classes of the instance inside the bag are not labeled. However, recent work on ordinal multi-instance has used the traditional support vector machine to solve the multi-classification problem without utilizing the ordinal information regarding the instances in the bag. In this paper, we propose a method that explicitly models the ordinal class information for bags and instances in bags. Specifically, we specify a key instance from the bag as a positive instance of bags, and design ordinal minimum uncertainty loss to iteratively optimize the selected key instances from the bags. The extensive experimental results clearly prove the effectiveness of the proposed ordinal instance-learning approach, which achieves 52.021% accuracy, 61.471% sensitivity, 47.206% specificity, 57.895% precision, and an 59.629% F1 score on a DDSM dataset.
Electronic information resources of libraries of technical universities of Ukraine: a comparative analysis

The purpose of the article is to identify and conduct a comparative analysis of electronic information resources to which technical university libraries provide remote access to users. The research methodology is based on the general scientific and special methods of cognition such us analysis, synthesis, logical method, monitoring, and the method of visualisation of research results. The scientific novelty of the work lies in the expansion of ideas about modern electronic information resources, with which the libraries of technical institutions of tertiary education of Ukraine serve their users in the conditions of a pandemic and martial law. Conclusions. In this study, a comparative analysis of information resources provided remotely to users of technical university libraries of Ukraine during quarantine and martial law was carried out. The research made it possible to identify two leaders: the scientific library of the Zaporizhia Polytechnic National University and the scientific library of the Chernihiv Polytechnic National University, which offer their users the most comprehensive list of information resources: electronic catalog, institutional repository, electronic libraries, their own electronic collections, recommended information resources available on the Internet in public access. The libraries conduct extensive information activities in social networks (Twitter, Instagram, and Facebook), as well as support YouTube channels. Another advantage in user information service is that library staff create thematic reviews of literature in the form of presentations using the Calameo web service and place them on the library website.&#x0D; Keywords: scientific and technical libraries, website, information resources, quarantine, martial law, virtual exhibitions, thematic literature reviews, electronic catalog, institutional repository, electronic libraries, electronic collections.
RELATIONSHIP OF VOCABULARYMASTERY WITH HIGH SCHOOL STUDENTS’ SPEECH TEXT WRITING SKILLS SOURCED FROM LITERARY WORKS

This study aims first to describe the vocabulary mastery of class XI students of SMA N 4 West Sumatra. Second, define the writing skills of class XI students of SMA N 4 West Sumatra. Third, describe the relationship between vocabulary mastery and writing skills of class XI students of SMA N 4 West Sumatra.This type of quantitative research with correlation method. The research population is class XI students of SMA N 4 West Sumatra in 2021/2022. The sample in the study of students of class XI IPS 2 amounted to 34 people. This research data is the score of the objective test of vocabulary mastery and the score of writing lecture texts for class XI SMA 4 West Sumatra students. Based on the results of the study concluded as follows. First, the vocabulary mastery of class XI students of SMA N 4 West Sumatra obtained an average score of 71.38 in the range of 66-75% on a scale of 10, with qualifications more than adequate (LdC). Second, the writing skills of class XI students of SMA N 4 West Sumatra obtained an average score of 78.33 in the range of 76-85% on a scale of 10, with a qualification of Good (B). Third, there is a significant relationship between vocabulary mastery and writing skills of class XI students of SMA N 4 West Sumatra. Then the hypothesis is accepted because the test results prove that tcount from ttable is 2.39 1.70. This proves that vocabulary mastery is related to students' text writing skills.
English for Scientific &amp; Technical Writing

Abstract: ‘Communication is important not only in an organization but also in our daily life. When we use communication pertaining to technical, industrial or business matters belong to the category of technical or business communication’’. Scientific and technical writing, a form of technical communication, is a style of writing used in fields of diverse as computer hardware and software, engineering, chemistry, the aerospace, industry, robotics, finance, consumer electronics and biotechnology. Technical writing teams or departments are often referred to as Information development, User Assistance, Technical Documentation, or Technical Publications. Technical writers themselves may be called API writers, information developers, documentation specialists, documentation engineers, or technical content developers. Specific areas to be elaborated on the full paper. “ Nature of scientific and technical documentation-basics of scientific and technical documentation- organization in technical and scientific documentation – style in technical and scientific documentation –ABC of good technical and scientific documentation – history of technical and scientific documentation’. Broadly speaking, technical documentation can be categorized into three types, depending on the style of writing, the level of knowledge transferred and the target audience. End user assistance: These information products help a user understand how ton use a technical software or hardware product. Traditional technical documentation: here the objective of the writer is to communicate with a specific audience.
Self-touch: an immersive interaction-technique to enhance body awareness

Abstract Physical well-being depends essentially on how the own body is perceived. A missing correspondence between the perception of one’s own body and reality can be distressing and eventually lead to mental illness. The touch of the own body is a multi-sensory experience to strengthen the feeling of the own body. We have developed an interaction technique that allows the self-touch of the own body in an immersive environment to support therapy procedures. Through additional visual feedback, we want to strengthen the feeling for the own body to achieve a sustainable effect in the own body perception. We conducted an expert evaluation to analyse the potential impact of our application and to localize and fix possible usability problems. The experts noted the ease of understanding and suitability of the interaction technique for increasing body awareness. However, the technical challenges such as stable and accurate body tracking were also mentioned. In addition, new ideas were given that would further support body awareness.