Reviewerly/exHarmony huggingface dataset:
QALD-9-ES: A Spanish Dataset for Question Answering Systems

Knowledge Graph Question Answering (KGQA) systems enable access to semantic information for any user who can compose a question in natural language. KGQA systems are now a core component of many industrial applications, including chatbots and conversational search applications. Although distinct worldwide cultures speak different languages, the number of languages covered by KGQA systems and its resources is mainly limited to English. To implement KGQA systems worldwide, we need to expand the current KGQA resources to languages other than English. Taking into account the recent popularity that Large-Scale Language Models are receiving, we believe that providing quality resources is key to the development of future pipelines. One of these resources is the datasets used to train and test KGQA systems. Among the few multilingual KGQA datasets available, only one covers Spanish, i.e., QALD-9. We reviewed the Spanish translations in the QALD-9 dataset and confirmed several issues that may affect the KGQA system’s quality. Taking this into account, we created new Spanish translations for this dataset and reviewed them manually with the help of native speakers. This dataset provides newly created, high-quality translations for QALD-9; we call this extension QALD-9-ES. We merged these translations into the QALD-9-plus dataset, which provides trustworthy native translations for QALD-9 in nine languages, intending to create one complete source of high-quality translations. We compared the new translations with the QALD-9 original ones using language-agnostic quantitative text analysis measures and found improvements in the results of the new translations. Finally, we compared both translations using the GERBIL QA benchmark framework using a KGQA system that supports Spanish. Although the question-answering scores only improved slightly, we believe that improving the quality of the existing translations will result in better KGQA systems and therefore increase the applicability of KGQA w.r.t. the Spanish language domain.
Polyvocal Knowledge Modelling for Ethnographic Heritage Object Provenance

Purpose: Information about biographies of museum objects (object provenance) is often unavailable in machine-readable format. This limits findability and reusability of object provenance information for domain research. We address the challenges of defining a data model to represent ethnographic cultural heritage objects’ provenance, which includes multiple interpretations (polyvocality) of, and theories for, the object biography, chains of custody and context of acquiring. Methodology: To develop a data model for representing the provenance of ethnographic objects, we conducted (semi-)structured interviews with five provenance experts to elicit a set of requirements. Based on these requirements and a careful examination of six diverse examples of ethnographic object provenance reports, we established a set of modelling choices that utilise existing ontologies such as CIDOC-CRM (a domain standard) and PROV-DM, as well as RDF-named graphs. Evaluation: Finally, we validate the model on provenance reports containing six seen and five unseen ethnographic cultural heritage object from three separate sources. The 11 reports are converted into RDF triples following the proposed data model. We also constructed SPARQL queries corresponding to nine competency questions elicited from domain experts in order to report on satisfiability. Findings: The results show that the adapted combined model allows us to express the heterogeneity and polyvocality of the object provenance information, trace data provenance and link with other data sources for further enrichment. Value: The proposed model from this paper allows publishing such knowledge in a machine-readable format, which will foster information contextualisation, findability and reusability.
Online simulator for practicing the skills of performing mathematical operations

The article describes a tool to solve the problem of insufficient development of schoolchildren’s arithmetic operations skills. The authors believe that the use of computer technologies in the process of teaching mathematics will allow the building of individual learning trajectories for each student and ensure the development of arithmetic operations skills to a stable state. The authors introduce a new concept of “skill architecture” and demonstrate the possibilities of building the skill architecture of a school mathematics course: structuring skills into groups and creating a new approach to practicing mathematical skills from simple to complex, starting from elementary school. The article presents the rationale for the development, concept, and requirements for an online simulator for practicing the skills of performing mathematical operations. The concept of the simulator is based on the results of research: analysis of the subject area of the school mathematics course; identification of the architecture of skills that allows building individual learning trajectories; development of a methodology for evaluating the effectiveness of tasks for practicing a particular skill by analyzing learning curves. The online application “Mathematical Operations Simulator” has been developed. The concept of the proposed online mathematics simulator can be used as a basis for developing similar solutions for any subject area of the school curriculum. The simulator can also be used in distance learning conditions.
New Constructions of Approximately Symmetric Informationally Complete Positive Operator-Valued Measures by Character Sums over Galois Rings

Abstract In quantum information theory, symmetric informationally complete positive operator-valued measures (SIC-POVMs) are related to quantum state tomography, quantum cryptography and foundational studies. It is difficult to construct SIC-POVMs and remains unknown whether SIC-POVMs exist for infinitely dimension. Therefore, researchers have proposed the solution to construct approximately symmetric informationally complete positive operator-valued measures (ASIC-POVMs). This paper proposes a construction of ASIC-POVMs using character sums over Galois rings. The dimension of this ASIC-POVMs is q -1, where q is a prime power. Also, our constructions include partial results about ASIC-POVMs constructed by X. Cao et al (X. Cao, J. Mi and S. Xu: Two constructions of approximately symmetric informationally complete positive operator-valued measures. J. Math. Phys., 58(6), 062201 (2017)). Mathematics Subject Classification (2020) 81P15 · 81P45
Pengembangan e-modul interaktif berbasis aplikasi book creator mata pelajaran produk kreatif dan kewirausahaan kelas XII BDP SMK PGRI 13 Surabaya

The development of an interactive e-module based on the book creator application in the subject of Creative Products and Entrepreneurship aims to complement learning and as an alternative used in teaching and learning. This type of research used the ADDIE development model. The average validation score for material experts is 90% with very feasible criteria, the average validation result for media experts is 96% with very feasible criteria, the average validation result for linguists is 96% with very feasible criteria. The response value of the field trial students obtained an average of 87.1% with very decent criteria.
PENGEMBANGAN MEDIA PEMBELAJARAN INTERAKTIF MENGGUNAKAN ARTICULATE STORYLINE 3 PADA TEMA 8 LINGKUNGAN SAHABAT KITA

Development of Interactive Learning Media Using Articulate Storyline 3 on Theme 8 The Environment of Our Friends. This study aims to develop and determine the feasibility of interactive learning media Articulate Storyline 3 theme of the environment of our friends subtheme of humans and the learning environment 2. This study uses the type of Research and Development (R&amp;D) studies, these research and development steps use the ADDIE model with 5 stages consisting of Analysis, Design, Development, Implementation and Evaluation stages. This research was implemented at SDN Bantarkemang 1 with class V as the research subject. The data collection techniques used were interviews, observations, questionnaires, and documentation. The feasibility of the media products developed obtained a percentage of 83% media experts, 100% language experts, and 94% material experts with very feasible criteria. While the students response was 96,64%, the user response (teacher) was 97,77%, and the N-Gain score obtained was 0,56 with a moderate category, which means that the media products developed are effective enough to be used in learning. Based on the results of the study, it can be concluded that the interactive learning media Articulate Storyline 3 developed in the study proved feasible and effective enough to be used during learning.&#x0D;
EVALUASI PENERAPAN SISTEM AKUNTANSI DANA KAS KECIL PADA PT. SUNGAI BUDI CIREBON

This research aims to determine petty cash management at PT. Sungai Budi Cirebon Branch and to find out the internal controls applied to the management of petty cash funds at the company. Research conducted at PT. Sungai Budi Cirebon Branch uses a research method related to petty cash funds, namely the imprest fund method. The results of this research are PT. Sungai Budi Cirebon Branch has implemented petty cash fund management (using the imprest fund method) in accordance with applicable accounting standards. This research still has several limitations in the field of internal control, namely cash disbursement transaction documents have not been stamped "Paid", have not used printed serial numbered forms, and there is no formation of an organizational unit to check internal control activities. This research has contributed to lecturers and students majoring in computerized accounting. The resulting contributions include providing direct practical understanding to students regarding internal control of petty cash funds in companies, using the imprest fund method. The novelty of this research is the implementation of daily cash taking reports carried out by the management for petty cash cashiers.Keywords: Evaluation, Implementation, System, Accounting, Funds, Petty Cash.
Multi-Modal Deep Learning for Effective Malicious Webpage Detection

The pervasive threat of malicious webpages, which can lead to financial loss, data breaches, and malware infections, underscores the need for effective detection methods. Conventional techniques for detecting malicious web content primarily rely on URL-based features or features extracted from various webpage components, employing a single feature vector input into a machine learning model for classifying webpages as benign or malicious. However, these approaches insufficiently address the complexities inherent in malicious webpages. To overcome this limitation, a novel Multi-Modal Deep Learning method for malicious webpage detection is proposed in this study. Three types of automatically extracted features, specifically those derived from the URL, the JavaScript code, and the webpage text, are leveraged. Each feature type is processed by a distinct deep learning model, facilitating a comprehensive analysis of the webpage. The proposed method demonstrates a high degree of effectiveness, achieving an accuracy rate of 97.90% and a false negative rate of a mere 2%. The results highlight the advantages of utilizing multi-modal features and deep learning techniques for detecting malicious webpages. By considering various aspects of web content, the proposed method offers improved accuracy and a more comprehensive understanding of malicious activities, thereby enhancing web user security and effectively mitigating the risks associated with malicious webpages.
Factors That Determine the Adoption Intention of Mobile Chatbots for Customer Service: An Empirical Study from Greece

Technological advances have considerably contributed to creating effective communication between businesses and customers. Based on Artificial Intelligence (AI), chatbots, which are text- or voice-based virtual assistants, promote customer interaction and service at any time, and are particularly popular among young people, who constantly use smartphones for numerous transactions and communication.
A new Evaluation System of CIPP's "Classified Training, Application Guidance and Whole-Process Education" for Undergraduate English Teaching

This article introduces the application of CIPP model in the evaluation of blended teaching of undergraduate English, and proposes a new evaluation system of "classified cultivation, application guidance, and full process education". Blended teaching, as a teaching mode that integrates traditional c
Feedback Literacy of Pre-Service English Teachers in Guangxi from the Perspective of Educational Informatization 2.0

Feedback has long been recognized as one of the potentially most powerful means of enhancing student achievement. In the context of Educational Informatization 2.0, this study conducts a questionnaire survey among 375 pre-service English teachers from four different grades in Guangxi to explore the
Multi-Relational Graph Neural Networks Based Model Prediction for Subjective Well-Being of Middle-aged and Elderly People

happiness is the basis for measuring the mental health and quality of life of middle-aged and elderly people. Traditional research methods based on machine learning models are low complexity and poor universality, leading to inaccurate results, deep learning convenient structural information among m
The Application of Information Technology in Primary Science Education under the Background of Digitalization

Primary science course bears heavy responsibility of science enlightenment, and foundational primary science education experiences play a significant role in defining students’ long-term science trajectories. And the deep integration of information technology and science education is highlighted in
Research on the Mode and Practice of Maker Education in Higher Vocational College under Information Technology Environment

To ensure the operation and development of maker education in university teaching,according to students' different learning levels of theoretical knowledge and students' interest in classroom learning, using methods such as integrating theory with practice, conducting investigations and scientific e
Research on the Structure and Construction Technology of Longshou Canal Engineering in the Western Han Dynasty

In order to clarify the characteristics and causes of engineering structure and construction technology in ancient hydraulic conservancy projects in Guanzhong area, taking Longshou Canal in the Western Han Dynasty as the research object, the hydrogeological environment of Longshou Canal construction
Two-Dimensional Uncertain Linguistic Petri Net for Knowledge Representation and Reasoning

FPNs are a useful instrument for modelling expert systems to conduct knowledge representation and reasoning. Nevertheless, the current representation methods with FPNs are unable to handle the uncertain linguistic knowledge given by domain experts and the reliability of their judgments. In addition, the existing reasoning algorithms are not able to capture the interrelationship of the propositions with the same output transition. Therefore, we present a new type of FPNs, called 2-dimensional uncertain linguistic Petri nets (2DULPNs), by using the 2-dimensional uncertain linguistic variables (2DULVs) and Choquet integral for knowledge representation and reasoning.
Dynamic Adaptive Fuzzy Petri Nets for Knowledge Representation and Reasoning

As a promising tool for knowledge representation and reasoning, FPNs still suffer a couple of deficiencies.
Linguistic Z-Number Petri Nets for Knowledge Representation and Acquisition

In this chapter, we develop a new model named linguistic Z-number Petri nets (LZPNs) for knowledge representation and acquisition in the large group environment.
Dilemmas and Strategies for Enhancing the Adaptability of Vocational Education Taking Yunnan Province as an Example

The 14th Five-Year Plan for the Development of Education in Yunnan Province clearly states that enhancing the adaptability of vocational education, striving to achieve high-quality development of vocational education, and accelerate establish the Southeast Asian radiation central in Yunnan Province.
Research on Bilingual Teaching of Art and Design Major in Colleges and Universities under the Target of International Talents Training

Global economic integration, coupled with social and cultural pluralism, has given rise to the internationalization of higher education in many countries. Bilingual teaching is a direct way to cultivate versatile talents with international vision, which is conducive to addressing the developmental n
Exploring the Potential of ChatGPT in Automated Code Refinement: An Empirical Study

Code review is an essential activity for ensuring the quality and maintainability of software projects. However, it is a time-consuming and often error-prone task that can significantly impact the development process. Recently, ChatGPT, a cutting-edge language model, has demonstrated impressive performance in various natural language processing tasks, suggesting its potential to automate code review processes. However, it is still unclear how well ChatGPT performs in code review tasks. To fill this gap, in this paper, we conduct the first empirical study to understand the capabilities of ChatGPT in code review tasks, specifically focusing on automated code refinement based on given code reviews. To conduct the study, we select the existing benchmark CodeReview and construct a new code review dataset with high quality. We use CodeReviewer, a state-of-the-art code review tool, as a baseline for comparison with ChatGPT. Our results show that ChatGPT outperforms CodeReviewer in code refinement tasks. Specifically, our results show that ChatGPT achieves higher EM and BLEU scores of 22.78 and 76.44 respectively, while the state-of-the-art method achieves only 15.50 and 62.88 on a high-quality code review dataset. We further identify the root causes for ChatGPT's underperformance and propose several strategies to mitigate these challenges. Our study provides insights into the potential of ChatGPT in automating the code review process, and highlights the potential research directions.
In This Issue

The noninteractive zero-knowledge proof (NIZKP) is underlying a broad spectrum of applications. The major categories of NIZKP are instantiated with deterministic hash functions in the real world. However, the outputs of deterministic hash ...Zero-knowledge proof (ZKP) is a fundamental cryptographic primitive that allows a prover to convince a verifier of the validity of a statement without leaking any further information. As an efficient variant of ZKP, noninteractive zero-knowledge proof (...
Safe and sound: Strengthening cybersecurity in healthcare through robust staff educational programs

This article emphasizes the importance of comprehensive cybersecurity education programs in the healthcare industry. The rapid development of technology in healthcare has brought numerous advantages, including electronic health records and telehealth services. However, these advancements also expose the healthcare industry to significant cybersecurity risks. The healthcare industry is an attractive target for cybercriminals due to the presence of sensitive personal and financial information. Current regulations, such as HIPAA and PIPEDA, are in place to protect patient information, but 95% of healthcare industry breaches result from human error. Healthcare organizations must prioritize robust cybersecurity measures and implement comprehensive education programs for all healthcare professionals. This article recommends tailoring educational content to different healthcare roles and incorporating ongoing learning and awareness as essential elements of cybersecurity education. Overall, it calls for a holistic approach to cybersecurity education in healthcare to protect patient information and mitigate cyberthreats.
CULTURAL AND EDUCATIONAL ACTIVITIES OF THE MYKOLAIV REGIONAL ART MUSEUM NAMED BY V. VERESHAGHIN

International scientific conference «Development of culture and art in the war and post-war periods» : conference proceedings (September 6–7, 2023, Wloclawek, the Republic of Poland). Riga, Latvia : «Baltija Publishing», 2023. 92 pages.
Robo-advisory an intrinsic convergence of ai in enhancing investment returns – An empirical analysis

The vigor of Robo-advisory is anchored along with AI (Artificial Intelligence) to expedite, synthesize and synchronize the requisite information, an enabler in the progression of upscaling and facilitating financial intelligence and advice, to the xennials and the millennials, on their investment patterns. Innumerable times the investors usually behave irrationally in their investment decisions on selecting financial instruments, schemes or in trading, generally termed as behavioral biases. The prime target for Robo-platforms are the Millennials and the Xennials, due to affordability, 24/7 accessibility and utmost transparency with zero or nil investment bias, through a fusion model (of Robo-plus -Human) or a hybrid strategy, that can help to invigorate the investor’s investment goals. Henceforth this analytical study pertains to apply the advanced TAM (Technology Acceptance Model) on some of the significant variables such as the Perceived Usefulness, Perceived Trust, Perceived Security and the most inevitable demographic variables of the investors, administering the Structural Equation Model, that has confirmed, much remarkable user interface and the competences of AI has played a predominant role in structuring better ease- of- usage, trust and security among the investors on utilizing the Robo-Advisory Services.
Assessing the relationship between employment opportunities and criminal tendencies of educated youth

This research examines the hypothesis that criminal activity has increased behavior among knowledgeable young people in Lagos state, Nigeria, in response to the unequal employment opportunities in the public sector. The tool that was used for the purpose of data collection was the questionnaire. Through the use of techniques including simple random sampling and sophisticated sampling, 1900 individuals overall and four geographical regions were selected accordingly. The Statistical Package for the Social Sciences analyzed the acquired data. According to the study, uneven access to work prospects is a key factor contributing to the rise in juvenile delinquency in Lagos. The study's findings indicate that the disparity in hiring practices for open positions in the broader public sector is the cause of the rise in criminal activity among educated Nigerians in Lagos. Consequently, the report recommends that the hiring process in various government entities follows legal procedures and that a supportive business climate that promotes small and medium-sized firms be created.
Research on the Distribution of Proof Responsibility in Civil Litigation of Trade Secret Infringement

In the civil litigation dispute of trade secret infringement, the allocation of the burden of proof is particularly important. According to relevant statistics, the successful rate of trade secret right holders is low, the reason why is mainly due to the right holder's limited ability to prove. The newly amended Anti-Unfair Competition Law has increased the allocation of the burden of proof in trade secret cases, not only made provisions for the proof of trade secret elements, but also clarified the application of the transfer of the burden of proof, which is intended to reduce the difficulty of the plaintiff's proof and strengthen the judicial protection of trade secrets. However, due to the amendment is to keep in line with the "China-US trade agreement", the process is relatively hasty.Accordingly, there are vague and insufficient provisions in the law.The preliminary proof and its standard of proof are not clear,and the effect of Article 32 of the new regulations on the reduction of the plaintiff's burden of proof and the increase of the defendant's burden of proof still needs to be tested in judicial practice as well.