Reviewerly/exHarmony huggingface dataset:
An Analysis of Positionalism’s Roles in Use

Roles as argument places in a positionalist account of relations are pervasive in conceptual data modelling and linguistics, known also as components of a relationship and as semantic, thematic, or deep roles as parts of a verb or verb class, respectively. They are also planned to be used in Abstract Wikipedia that seeks to combine them. There is, however, no insight in systematic or ontologically sound usage of such roles, in contradistinction to the ample attention given to aligning classes to nouns and relationships to verbs. Roles, as identifiable argument places, may benefit from similar efforts toward an ontology of roles. We aim to take a first step in that direction in a two-pronged approach. First, we conducted an analysis of a set of 101 conceptual data models on their use of roles. Second, we analysed VerbNet, an authoritative linguistic knowledge base on thematic roles. The results show promise for improvements of naming roles in conceptual data models. VerbNet’s roles are challenging to align to an ontology due to its mixing of the ontological and linguistic layers and flexibility of natural language. The insights obtained also indicate ample avenues for further research.
Towards Completely Automated Advertisement Personalization: An Integration of Generative AI and Information Systems

The emergence of generative artificial intelligence (AI) models has captured the attention of businesses and researchers alike. In this article, we aim to evaluate the efficacy of generative AI in creating marketing content and propose an integration method of generative AI with an information system that processes, profiles, and generates marketing content. We examine the potential of generative AI in four domains: content generation, content variety, content quality, and personalized content. While generative AI has shown significant proficiency in generating varied and aesthetic visual and textual content, challenges remain in achieving high-quality, personalized content. We conducted two studies to evaluate the ability of generative AI to create marketing content. In the first study, we show that AI can create high-quality images that are just as impactful as human-created images. We then test an implementation of automated AI advertising personalization and find that such a method is successful at personalizing advertisements to consumers and increasing customer engagement. The article concludes by suggesting steps necessary for completely automated advertisement personalization.
Digital Tools for Innovative Higher Education Teaching - A Scoping Review of Empirical Studies

Since the COVID-19 pandemic has outbursts, changes in the teaching process are observable. What was a temporary countermeasure against the pandemic is now considered a didactic tool. More and more teachers and entire higher education institutions decided to permanently implement digital tools or innovative teaching methods into the didactic process. The continuous development of technology fosters innovation in the teaching process. It allows teachers to use newer and newer teaching tools, better and better adapted to the real needs of students. The main goal of this article is to point out, by a scoping review of the papers published between 2020 and 2023, the digital tools used in the teaching process at the higher education level. The review focuses only on the original articles written in English, which present studies on implementing innovative digital teaching tools. The article is a form of a preliminary catalog of didactic tools used at the higher education level in the last three years, with their quantitative presentation. The tools have been categorized according to the technologies they use and then assigned to the scientific disciplines in accordance with the OECD classification in which they were used.
Is Safe Agile Portfolio Management Compatible With COBIT?

Background. Software development companies leverage various agile practices to remain flex- ible in dynamically developing markets. The iterative nature of Agile introduces new challenges at the portfolio management level. Yet, the research on Agile portfolio management has enjoyed limited research interest. Aim. Describe how traditional management approaches can leverage existing agile portfolio management practices and concepts. Method. Conceptual Analysis with mapping of SAFe portfolio management concepts and COBIT 2019. Results. Portfolio man- agement concepts from SAFe which the COBIT 2019 practitioners can leverage. Conclusion. Using the frameworks SAFe and COBIT combined is not yet ready for implementation. Rec- ommendation. Introduce new COBIT’s focus area so that the agile concepts can be leveraged.
Data Generation Based on Domain Ontology

The growing importance of IT systems implies an increased demand for reliable data. Such data can be used for different purposes, including application testing, AI training, or domain query- ing. Existing tools struggle to generate realistic data consistent with the business rules of the domain under consideration. The paper proposes a data generation method based on ontology, which is treated as a source of domain knowledge description. Wordnet taxonomy supports the generation process by allowing the selection of appropriate external resources to create instance properties. An ontology reasoner is used to enrich generated properties. The proposed method has been implemented as a prototype tool capable of processing ontologies expressed in OWL 2. The tool tests showed that the generated data is complete and corrected within the supported set of constraints. Data realism depends on the domain definition, the provided sources of data, and the instrumentation of the generation process through configuration.
Development of a software tool for remote control of knowledge

The purpose of this study was to develop and implement an information system for evaluating and testing students' knowledge in order to simplify the process of creating tests and evaluating the educational achievements of teachers. In the course of the work, a review of existing computer training programs, an analysis of the market of modern analogues was carried out, and on the basis of the obtained data, functional and non-functional requirements for the developed software product were formulated. Based on the requirements, technical and software tools were chosen for the development of the program, namely the JavaScript programming language and the ReactJS framework for the development of the client part of the web application, which allows for quick and convenient development of interactive user interfaces and guarantees the stable operation of the system. The server part of the application is implemented using the powerful and flexible Spring framework, which allows you to create scalable and high-performance web applications.&#x0D; To achieve the goal, the following tasks are solved in the work: registering a new user, editing user data, logging in and out of the system, viewing/creating/editing/deleting a study group, viewing students of a selected group, viewing/creating/editing/deleting/ publishing a test, viewing/creating/editing an exercise in a separate test, receiving all exercises in a selected test, assigning a test to a selected group, the ability to view/take tests assigned to the user (his group), the ability to check exercises and assign a grade (some exercises may be evaluated by the system automatically if the teacher gave the correct answer for comparison), the ability to view the result for the passed test. A MySQL database was designed and built according to the described data model that corresponds to the third degree of normalization. The structural and functional scheme of the system has been developed. There are three user roles: administrator, teacher, student. Great importance was attached to ensuring the simplicity and ease of use of the user's product, as this plays a key role in the use of the software. In the process of developing the program, great attention was paid to creating an intuitive and comfortable interface.&#x0D; As a result, an information system for automated testing was created, which successfully fulfills the assigned tasks and meets all the specified requirements, and is also fully ready for practical implementation. The obtained results can be used both to integrate the program into the educational process and to provide students with the opportunity to acquire practical skills
Effectiveness of Graphic Novels to Motivate Reading among ESL Learners: A Literature Review

This paper reviewed literature on the effectiveness of graphic novels to foster reading motivation among ESL learners in the educational framework of Malaysian schools. The research process involved two phases: (1) data searching and collection, and (2) assessing the quality of studies, where literature obtained from 2 databases (Google Scholar and Educational Resources Information Centre (ERIC) were filtered, guided by a review question. The selection criteria of the past studies encompassed three aspects: (1) using specific search keywords, (2) language used and (3) year of publication (2019-2023). The keyword search focused on papers of (1) the impact of graphic novels on reading motivation, and (2) the effectiveness of graphic novels in motivating reading among ESL learners, specifically in Malaysia. From 98 papers searched, this review looked at 25 pertinent studies on how graphic novels may motivate ESL learners to read. Several effects have been identified, including increasing pupils’ engagement; graphic novels as an effective tool; and enhancing reading motivation. The findings of this research may be advantageous for ESL teachers in integrating graphic novels into their classroom. Potential possibilities for future research could include investigating the influence of digital graphic novels on the motivation to read among ESL learners, as well as examining the effects of incorporating graphic novels alongside other instructional approaches (such as peer learning or cooperative learning) on the motivation to read among ESL learners.
Innovation and Entrepreneurship Education Evaluation Index of Application-oriented Institutes: Based on High-quality Development

Innovation and entrepreneurship education is an essential and powerful measure to cultivate innovative talents. Application-oriented institutes are critical in developing innovative and entrepreneurial talent for local cities. In a historical period when China's economy has turned to high-quality development, application-oriented institutes should continuously combine high-quality development with improving innovation and entrepreneurship education. Based on the characteristics of application-oriented institutes, this paper studies the construction of an application-oriented institutes innovation and entrepreneurship education evaluation index from the aspects of organizational system guarantee, teacher team construction, curriculum system construction, practice channel construction, student learning situation, and funding guarantee. It will assist in objectively evaluating the impact of innovation and entrepreneurship education, continuously optimizing and improving innovation and entrepreneurship education, and achieving more efficient training of innovative individuals.
Decision Support System for Specialization Selection Based on Student Interests and Abilities Using the Weighted Product Method

This research was developed to provide a more efficient and accurate solution in assisting the process of selecting student specializations. This research aims to help schools determine whether or not specializations are appropriate for students. The method used in this research is the Weighted Product (WP) Method. This method was chosen because it is capable of solving multi-criteria problems and providing specialization recommendations based on accurate criteria weight calculations. Next, the data that has been collected will be entered into a decision support system that has been created using the Weighted Product method. This Decision Support System will calculate the weight scores and criteria that have been determined. It is hoped that the results of this research can help schools provide specialization options that suit students' interests and abilities. The application test results and questionnaire test results are categorized as feasible based on the research success table and implementation This decision support system application shows that this application runs well through functional testing and produces the expected output.
Motivation and Performance of Employees of Pokhara Based Internet Service Providers

Employee motivation is one of the important factors that can help the employer to improve employees and organizational performance. This research paper aims to investigate the impact of motivation on employee performance in Pokhara based internet provider. This article is based on case study method in which ‘Pokhara Internet Private Limited’ was selected by following lottery method of sampling. The study sample size was about 90% (103) of the population which was randomly selected from each department of the Pokhara Internet Pvt. Limited with the help of employees name list provided by HR Department. The study applied empirical approach in which a survey questionnaire was used to collect quantitative data. For the fulfillment of research objective various statistical techniques has been applied. The hypothesis was set to test under some constraints. The statistical tool like descriptive statistic and inferential statistics like ANOVA, multiple linear regressions was applied for this regard the famous statistical software named SPSS-20 has been used. The results validated the research questions and proved statistically significant impact of employees’ motivation on their performance. Moreover, it is also known that female employees had high level of motivation in the sample institution.
The Impact of Generative AI and ChatGPT on Creating Digital Advertising Campaigns

The use of AI-based solutions is currently discussed in relation to various industries. The proliferation of tools based on generative artificial intelligence (GAI), including the emergence of ChatGPT, has resulted in testing as a first step and implementations in further areas of business life, including marketing, as a second step. Still only a few studies have analyzed and evaluated specific solutions for different areas of marketing, including advert design. In order to fill this gap, areas where GAI and ChatGPT are used during the various stages of creating a digital advertising campaign have been identified. Therefore, the aim of this paper is to investigate the impact of GAI and ChatGPT on theory and practice on different stages of the digital advertising campaign building process. This objective is followed by a research question: how can marketers use GAI and ChatGPT to create an effective digital advertising campaign? The process of building a digital advertising campaign should be considered and analyzed in terms of the impact of using GAI and ChatGPT technology and, at the same time, the role played by marketers at each stage and their contribution to this process in collaboration with GAI-based tools. This article is intended as a preliminary exploration of the impact of using GAI and ChatGPT on the digital marketing campaign building process. Therefore, the methodology applied includes critical literature analysis, secondary data analysis and individual in depth interview (IDI) with an expert (CEO of a advertising agency). This represents a first step in the study, to be followed by in-depth empirical research (qualitative as well as quantitative) to verify and develop the conclusions drawn. The article analyses the impact of using generative AI and ChatGPT on the process of creating an advertising campaign in digital media from a theoretical and practical point of view. Theoretical and managerial implications are also presented.
Project Based Learning: Pembuatan Motion Graphics “Affordable” untuk Klien LB LIA

Project-Based Learning (PjBL) is a learning approach where students learn by actively participating in real projects or tasks. This approach aims to prepare learners to face real-world situations and develop skills relevant to careers and everyday life. The (PjBL) approach was used in the creation of this motion graphics titled "Affordable" with the client LB LIA. The PjBL process involved planning, client needs analysis, conceptualization, production and evaluation. The results show that PjBL helps learners develop a deep understanding of graphic design and effective communication skills with clients. PjBL helped learners develop a deep understanding of graphic design and effective communication skills with clients. Although time management and communication challenges arose, collaboration between students and clients successfully overcame these obstacles so that this motion graphics project could run smoothly. With a focus on project-oriented learning, this article can serve as a guide for those interested in maximizing students' educational experience in the real world.
Factors Influencing Students’ Dropout in Bachelor’s Program in Kalika Multiple Campus, Pokhara

Students’ dropout is one of the major phenomenons in higher education. This article primarily aimed to explore the factors influencing students’ dropout in the bachelor program of Kalika Multiple Campus, Pokhara and identify the reasons behind it. A descriptive design had been taken to describe the dropout rate and fifteen dropout students of bachelor’s degree faculty of education were selected as the respondents through judgmental purposive sampling procedure. Unstructured telephone interviewing was used as the tool for collecting the required information. This study bases on the theoretical tenets of Maslow’s Hierarchy of Needs, Motivation and Engagement, and Cognitive Load Theory. This study found that the main reasons of students’ dropout explored from student-related indicators were their low academic achievement in examination and irregularity in class; campus-related indicators were lack of academic support, feedback, motivation and encouragement from teachers, and problem of institutional information system; and lastly, family-related indicators were lacks of financial support from home and, different family problems. The implication of this study is to solve the problem of students’ drop out specifically in Kalika Multiple Campus and generally in the development of higher education programs in Nepal.
APM-YOLOv7 for Small-Target Water-Floating Garbage Detection Based on Multi-Scale Feature Adaptive Weighted Fusion

As affected by limited information and the complex background, the accuracy of small-target water-floating garbage detection is low. To increase the detection accuracy, in this research, a small-target detection method based on APM-YOLOv7 (the improved YOLOv7 with ACanny PConv-ELAN and MGA attention) is proposed. Firstly, the adaptive algorithm ACanny (adaptive Canny) for river channel outline extraction is proposed to extract the river channel information from the complex background, mitigating interference of the complex background and more accurately extracting the features of small-target water-floating garbage. Secondly, the lightweight partial convolution (PConv) is introduced, and the partial convolution-efficient layer aggregation network module (PConv-ELAN) is designed in the YOLOv7 network to improve the feature extraction capability of the model from morphologically variable water-floating garbage. Finally, after analyzing the limitations of the YOLOv7 network in small-target detection, a multi-scale gated attention for adaptive weight allocation (MGA) is put forward, which highlights features of small-target garbage and decreases missed detection probability. The experimental results showed that compared with the benchmark YOLOv7, the detection accuracy in the form of the mean Average Precision (mAP) of APM-YOLOv7 was improved by 7.02%, that of mmAP (mAP0.5:0.95) was improved by 3.91%, and Recall was improved by 11.82%, all of which meet the requirements of high-precision and real-time water-floating garbage detection and provide reliable reference for the intelligent management of water-floating garbage.
Facial Analysis of the Igbo Ethnic Group of Nigeria for the Evaluation of Sexual Dimorphism

Background: Facial analysis defines the measurement of soft tissue in the face used in forensics, anthropology, artistic design, and facial reconstruction. The study aims to evaluate the sexual differences in facial parameters among the Igbo ethnic group of Nigeria.&#x0D; Methods: 400 (200 males and 200 females) subjects of Igbo origin volunteered for the study. Each subject's frontal view photographs were taken in the Natural Head Position (NHP) and analyzed using Pro-Image Facial Software Version 2 to evaluate the nasal width, nasal height, mouth width, facial width, facial height, inner canthal distance, and outer canthal distance. Data obtained were analyzed with IBM SPSS (version 23) and independent T-test as an inferential statistic.&#x0D; Results: The result showed that NW was (M=5.16±0.65, F=5.34±0.53, t=-2.91, p=0.00), NH was (M=5.61±0.62, F=5.26±0.57, t=5.92, p=0.00), MW was (M=6.64±0.7, F=6.54±0.71, t=1.46, p=0.14), FW was (M=16.17±1.31, F=15.07±2.04, t=6.39, p=0.00), FH was (M=16.63±1.11, F=16.08±1.31, t=4.36, p=0.00), En was (M=4.62±0.46, F=4.31±0.47, t=6.75, p=0.00) and Ex was (M=12.23±0.86, F=12.16±1.01, t=0.82, p=0.41).&#x0D; Conclusion: The nasal width and Height, facial width and height, and inner canthal distance show gender differences among the Igbo ethnic group of Nigeria. This study will have a practical application in Forensics, Anthropology, Artistic and Industrial design, and to medical professionals involved in facial reconstruction.
Philosophical Discourses on Economic Governance: An African Perspectives

This paper offers a comprehensive analysis of African perspectives on economic governance from a philosophical viewpoint. The study highlights the importance of incorporating African philosophical perspectives in economic governance and provides insights into the challenges and opportunities for economic governance in Africa. It also provides policymakers with valuable insights into the key factors that influence economic governance in Africa and highlights the necessary policy interventions required to improve economic governance in the region. Additionally, the study offers directions for future research, emphasizing the need for further research on the relationship between African philosophical perspectives and economic governance, as well as comparative studies of economic governance in different regions. Overall, this study contributes to the knowledge base on economic governance in Africa and provides important insights for policymakers and practitioners seeking to improve economic governance in the region.&#x0D;
The Effectiveness of KMS Filling Training on the Accuracy of Immunization Cadres in Interpreting Weighing Results at RSIA Sitti Khadidjah Gorontalo City

KMS is a card containing the child's normal growth curve based on the anthropometric index of body weight according to age. The role of cadres related to monitoring growth and development is very important. The purpose of this study was to determine the effectiveness of KMS filling training on the accuracy of immunization cadres in interpreting weighing results. Pre-Experimental Research Design with One-Group pre-posttest approach. Sampling by probability sampling of as many as 13 respondents. Data collection using questionnaires (Pre-test and Post-test) and tested using paired t-test. The results showed that the average knowledge before (pretest) was 66.92 and after (posttest) given training became 78.23 with p = value 0.001 For the average value of skills before training (pretest) was 57.38 while after training (posttest) 86.23 with p = value 0.000. It can be concluded that there is an effectiveness of KMS filling training, and there is an accuracy of immunization cadres in interpreting weighing results.