Reviewerly/exHarmony huggingface dataset:
Factors Affecting the Likelihood of Fraudulent in Procurement Process: the Case of Royal Malaysian Air Force

Procurement encompasses activities and processes of purchasing good products and services in the public or private sector. It has been reported that 60% of fraud and economic crime perpetrators in the public sector were from government officials. Procurement fraud has increased in the public sector since 2012. This study aims to investigate the practice and likelihood of fraud in the Royal Malaysian Air Force (RMAF) procurement process and to recommend the course to improve the effectiveness of implementing the e-procurement system. This study employed a quantitative method to achieve the objectives of the research. This study adopted a questionnaire from previous research instruments used in many studies related to fraud intention as the primary data collection method. The questionnaire was distributed to the selected officers and other ranks within RMAF. The respondents were among all officers and employees involved directly in the procurement process. Using quantitative research for the data collection method allowed the researcher to evaluate and understand this data through statistical analysis. This study's findings revealed that work commitment, capability, and opportunity had a significant association with the likelihood of fraud in the RMAF e-procurement system when Pearson's correlation was used. Results from regression analysis addressed that capability and opportunity significantly influence the possibility of fraud.
Synthetic Realities in the Digital Age: Navigating the Opportunities and Challenges of AI-Generated Content

&lt;p&gt;In the age of rapid technological evolution, synthetic realities and AI-generated content are transforming the very fabric of digital interaction. This article delves into the multifaceted landscape of artificial intelligence's role in the creation of auto-generated content, spanning text, images, videos, and 3D mediums. The challenges posed by such developments—ranging from misinformation campaigns to threats against traditional forensics—are examined in depth. At the same time, the article highlights emergent opportunities in the realms of security, privacy, and digital forensics that are spurred by these AI advancements. Within this discourse, the paper seeks to propose robust policies and regulatory frameworks that can uphold the integrity of digital media while ensuring societal safety. Balancing ethical considerations, the article underscores the necessity of international cooperation, technological innovation, and public awareness to navigate the transformative potential of synthetic media. Through a blend of case studies, future projections, and policy discussions, the article offers a comprehensive perspective on the intricate interplay between AI-enabled content and societal implications.&lt;/p&gt;
Autonomous AI: what does autonomy mean in relation to persons or machines?

Artificially intelligent machines are increasingly capable of accomplishing tasks that have until now been considered exclusively human abilities. One such task is the ability to invent. In 2021, an Australian court became the first court in the world to recognise an Artificially Intelligent system as the inventor in a patent application, raising the question of whether AI systems could be considered the responsible actor of their actions, instead of the human using the AI. This paper examines the question of autonomy: how the concept of autonomy underpins the granting of legal rights to humans, and whether it is justified to grant legal rights to AI systems that are autonomous. We propose that there are two distinct and separate concepts of autonomy, Person Autonomy and Machine Autonomy, and that this distinction can guide how the law should treat AI systems.
PENERAPAN MODEL PEMBELAJARAN TEAMS GAMES TOURNAMENT (TGT) MENGGUNAKAN MEDIA KARTU KUARTET UNTUK MENINGKATKAN HASIL BELAJAR SISWA MATA PELAJARAN PPKN KELAS V

Based on the results of conservation at SD 5 Klumpit, Kudus Regency, studentlearning outcomes in Civics and Indonesian subjects are still below the MinimumCompleteness Criteria (KKM). This is because the learning process is centered onthe teacher so that students are less active in participating in learning. The purposeof this study is to improve student learning outcomes using the Teams GamesTournamet (TGT) learning model using quartet card learning media. The methodused was Classroom Action Research which was conducted for 2 cycles with 2meetings in each 1 cycle. By using observation data collection techiques and test.The subjects of this research were all fifth grade students at SD 5 Klumpit. In cyclesI and II, PPKn subjects obtained a classical completeness result of 72% to 88%,while the Indonesian language subject obtained a classical completeness of 72% incycle I to 76% in cycle II. From these results it can be concluded that the TGTlearning model using quartet card media can improve student learning outcomes.
Exposing EFL Students’ FLRA in Reading Section: The Case of TOEFL Course

Foreign Language Reading Anxiety (FLRA) becomes increasingly crucial for EFL students since it prevents the learners' reading grasp. This study reports on college students’ reflections on reading. The study's main objective was to determine students' reading anxiety levels and discover the most potential factors contributing to students’ Foreign Language Reading Anxiety (FLRA) in TOEFL Test. It was administered to 22 students of the English Department in Universitas Pembinaan Masyarakat Indonesia using purposive sampling in the academic year 2022/2023. To achieve this purpose, this study utilized both quantitative and qualitative approaches. The data were collected using a Foreign Language Reading Anxiety Scale (FLRAS) questionnaire with five-point Likert scale participants and an interview sheet to examine the levels of their reading anxiety and its factors. The results demonstrate that the student's reading anxiety levels were 18% in the low category, 64% in the medium category, and 18% in the high category. It indicates that they experienced a medium level of anxiety while reading with unfamiliar vocabulary and unknown topics, and the fear of making mistakes was identified as the significant factor of FL reading anxiety.
Pelatihan Sketch Up Untuk Guru SMKN 5 Pekanbaru pada Jurusan Desain Permodelan dan Informasi Bangunan

Sketch Up training at SMKN 5 Pekanbaru basically aims to provide insight and skills about applications that help teachers to know the development of software that can be used in the world of education, especially those related to modeling systems. In the process of implementing the service, material will be given gradually using the lecture method, namely with presentations which are followed by demonstrations and direct practice on the computer media of each trainee so that the overall sketch up application material can be used by teachers of SMKN 5 Pekanbaru to can be conveyed to all students, especially in the department of modeling design and building information. To maintain a sustainable understanding of the Sketch Up application, the school responded very positively so the school was enthusiastic about opening up opportunities for the service team to hold further training for students at SMKN 5 Pekanbaru.
Critical Software Security Weaknesses

In this work, we extend our historical study on the most significant software security weaknesses, reevaluate our findings, and look closely at the injection and memory corruption/disclosure weaknesses through the NIST Bugs Framework lenses. Our goal is to continue raising awareness about the patterns of reoccurring software security vulnerabilities that enable malicious activity.
Industria y educación: un breviario de ideas

In the historical changes in society, technology has been a determining factor. Historical records show that the industrial revolution with its technological differences: - the steam engine, electricity, digital computing and artificial intelligence - have changed the way we have lived, developed productive activities, transformed “the economy of education”, Remodeled the cities and caused the disease, according to conspiracy theories, with the sabers of the zoonetic virus. That said, life in society has been altered by the profound transformations driven by the technological revolution, in an evolutionary time line, which begins with the “world workshop” or first era of machines with the loom of spinning, in England as an archetype, around the year 1760, and then reaching our days, as the last distillation, or second age of machines with the proclamation of the “new digital galaxy”, which receives and distributes signals and data, at the World Economic Forum in Davos, Switzerland.
Pemberdayaan Anak Panti Asuhan Murni Kota Makassar Melalui Literasi Membaca

This community service activity aims to increase the reading interest of the Murni Orphanage children through the Literacy Diary method. The method of implementing this service used mentoring by implementing reading activities for 15 minutes every day and writing down the results of the reading in a Literacy Diary. Questionnaires were used to evaluate this activity, and the results were analyzed descriptively. The results of this community service activity could increase children's interest in reading, with a satisfaction level of 77.8% of the usefulness indicator for activity participants. The indicators of the success of this service also included the equipment used during the activity, the atmosphere and situation during the implementation of the activity, activity time, the media, reading materials/materials, guidance from a mentor, reading literacy practices, mentor's adaptability, and mastery of the material from the mentor respectively.
Building Trust in AI -A Simplified Guide to Ensure Software Quality

In recent years, Artificial Intelligence (AI) has emerged as an innovative technology in a variety of areas, including software development. The demand for high-quality software has grown in tandem with the increasing complexity of applications and user expectations.AI-driven approaches are revolutionizing traditional software development methodologies by automating and augmenting various stages of the development life cycle, leading to improved efficiency, reduced costs, and enhanced software quality. This research explores the crucial role of AI in developing high-quality software and its impact on the software development process. Firstly, it discusses how AI technologies like machine learning, natural language processing, and deep learning can facilitate requirements gathering, analysis, and validation, leading to better understanding and refinement of user needs. Next, it delves into the significance of AI in automating the coding process, such as generating code snippets, fixing bugs, and optimizing performance, thus accelerating development and reducing human errors. Moreover, the paper highlights the pivotal role of AI in software testing and quality assurance. AI-powered testing tools can execute comprehensive tests more efficiently, detect defects, and predict potential software vulnerabilities, thereby enhancing the overall reliability and robustness of the software product. Additionally, AI techniques can enable real-time monitoring and analytics, allowing developers to identify and address issues promptly during the software's operational phase. Furthermore, the paper addresses the ethical considerations and challenges associated with AI in software development, including bias in training data, interpretability of AI-driven decisions, and potential job displacement for software developers.
Fuzzy Time Series Lee dengan Average Based Length untuk Prediksi Jumlah Penduduk Miskin Sulawesi Tenggara

This study aims to predict the number of poor people in Southeast Sulawesi using the Lee’s Fuzzy Time Series with Average Based Length. The data used in this research is annual periodic data from 2004-2022 downloaded from the bps.go.id website. The results of the study show that the poverty rate in Southeast Sulawesi in 2023 will reach 301,801 people. The model is successful in reading data movements, with the number of error values &gt; 0 indicating the direction of prediction error which tends to be underestimated. However, the resulting accuracy is very good, indicated by the MAPE value of 1.71%.
ОЦІНКА ВПЛИВУ ІКТ НА ЕФЕКТИВНІСТЬ ВИВЧЕННЯ БІОЛОГІЇ У ЗАКЛАДІ ЗАГАЛЬНОЇ СЕРЕДНЬОЇ ОСВІТИ

The article presents the results of the impact of ICT on the effectiveness of studying Biology in an Institution of General Secondary Education. The expediency of using information technologies in lessons to obtain high results is considered. To understand Biology, it is important to observe living natural objects, study their structure, etc. It is sometimes impossible to do this during a lesson, especially during distance learning, but modern information and communication technologies provide such an opportunity. With the help of computer technologies, it is possible to present video materials with the demonstration of natural objects. In addition, specially developed educational information aids facilitate the process of knowledge formation, its consolidation and checking the level of information assimilation. Studies have shown that the use of ICT increases students' motivation, improves knowledge acquisition, stimulates cognitive activity, develops critical thinking and creative potential. Various ICT methods and tools that can be used to improve the effectiveness of studying Biology are also considered. These include websites, computer programs, simulations, videos, virtual labs, and other interactive resources. The use of these tools allows you to gain deeper practical knowledge, as well as develop independent work skills and communication skills, allow you to receive educational material at any place and time, and contribute to the individualization of education. The need to integrate ICT into the educational process to improve the quality of biological education is emphasized. The use of ICT in Institutions of General Secondary Education can be an effective means of attracting students to the study of Biology, increasing their cognitive activity, expanding access to current information and teaching digital literacy.
Developing quality reading instruction through a contextual approach in the English Language Education

The problems discussed in this study are related to the development of the quality Reading instruction through a contextual approach for students of English language program. The purpose of the study is to improve the quality of Reading learning through a contextual approach to students of the English Language Education Study Program, FKIP, University of Lampung. This research employed Class Action Research (CAR) which is intended to provide information on how to take appropriate actions to improve student activities in the learning process with a contextual learning approach that has an impact on increasing student learning achievement. The results showed that the quality of Reading learning increased through a contextual approach in the English Language Education Study Program students. In cycle I the average value is 62.4. In cycle II the average value increases to 68.7. In cycle III the average value is 77.2. This proves that the use of a contextual approach is able to improve the quality of reading learning for English Language Education Study Program students, FKIP, University of Lampung.
Security Life Cycle framework for Exploring &amp; Prevention of Zero day attacks in Cyberterrorism

The rise of cyber terrorism poses a significant threat to governments, businesses, and individuals worldwide. Cyber terrorists use information technology to carry out attacks that range from simple hacking attempts to more sophisticated attacks involving malware, ransomware, and zero-day exploits. This paper aims to provide an in-depth understanding of cyber terrorism, with a special focus on zero-day attacks. As the world becomes more digitized and automated, it brings convenience to everyone's lives. However, it also leads to growing concerns about security threats, including data leakage, website hacking, attacks, phishing, and zero-day attacks. These concerns are not only for organizations, businesses, and society, but also for governments worldwide. This paper aims to provide an introductory literature review on the basics of cyber-terrorism, focusing on zero-day attacks. The paper explores the economic and financial destruction caused by zero-day attacks and examines various types of zero-day attacks. It also looks at the steps taken by international organizations to address these issues and the recommendations they have made. Additionally, the paper examines the impact of these externalities on policymaking and society. As cyber-security becomes increasingly important for businesses and policymakers, the paper aims to delve deeper into this aspect, which has the potential to threaten national security, public life, and the economic and financial stability of developed, developing, and underdeveloped economies.
Research on Accurate Recommendation of Learning Resources based on Graph Neural Networks and Convolutional Algorithms

In response to the challenges of "learning confusion" and "information overload" in online learning, a personalized learning resource recommendation algorithm based on graph neural networks and convolution is proposed to address the cold start and data scarcity issues of existing traditional recommendation algorithms. Analyze the characteristics of the Knowledge graph of learners and curriculum resources in depth, use the graph Auto encoder to extract the auxiliary information and features in the Knowledge graph and establish the corresponding feature matrix, and use Convolutional neural network for classification and prediction. The experimental results show that this algorithm improves the performance of recommendation systems, improves learners' learning efficiency, and promotes personalized development.
Exploring Interpersonal Language in Wedding Discourse on Social Media

As evidenced by YouTube's rising online popularity, sharing experiences via social media is becoming more and more common. Since the advent of digital media, communication and experience sharing have changed. A wedding speech is an intriguing example of this genre, where the speaker naturally expresses gratitude to the newlyweds and guests while reliving family history. By recognizing important linguistic elements, the audience can better understand the interpersonal ties presented. The present study aimed to explore the interpersonal language and investigate the significant linguistic features of social media speech through a spoken analysis of YouTube videos. Approximately 2.5 hours (and 13,707 words) worth of real audio-visual recordings of wedding speeches were gathered and transcribed. The theoretical foundation for this study is strengthened by systemic functional linguistics (SFL). The findings and discussions section provides a comprehensive review of interpersonal language as it relates to appraisal theory, for example, the context variables of genre and register and lexico-grammatical features. These findings were investigated to comprehend the underlying interpersonal meanings in various language strata domains. The present study advances our knowledge of how language shapes speakers' communicative behavior in wedding discourse and provides insight into this novel media text form.
Development of Digital Comic Media with Ethnomathematics Nuances of Palembang Traditional Food for Elementary School Fifth Grade Minimum Competency Assessment Activities

The minimum competence assessment (AKM) activity designed by the Ministry of Education and Culture is used to assess student literacy and numeracy at every level of education. This activity provides a great challenge for teachers to create a learning media that can support the student learning process in implementing AKM. This study uses the 4D development research model which includes Defining, Designing, Developing, and Disseminating. This research was conducted with 3 experts and 23 students as research objects. The results of this study in the form of quantitative data were analyzed to become qualitative data using the media validation formula and practicality test. This development research obtained the final result in the form of digital comic media with ethnomathematics nuances of traditional Palembang food to increase valid and practical basic numeracy literacy with an average final validation test of 3.33 with a good classification (valid) and an overall practicality test percentage of 87.5% which classified as very practical. The media produced as the final product can be declared fit for use as media that can be used during class AKM activities. Keywords: Digital Comics, Ethnomathematics, AKM
MANAGEMENT OF THE ONBOARDING PROCESS INFORMATION SUPPORT OF IT SPECIALISTS USING RPA TECHNOLOGIES

Enterprises have recently begun to hold public conferences, which consider the proposed development of a software solution for onboarding new professionals. Therefore, when large companies onboard new young specialists their HR-managers need to have high-quality, fast and effective onboarding system. To implement an onboarding system based on distance learning, a new employee will have access to the company's courses. A new employee uses this system and takes basic courses aimed to enhance professional competencies, such as teamwork, customer focus, critical thinking, presentation and communication skills and etc. A new employee takes courses to deep study of his professional area. These courses are related to the study of the business-process, interactions with the user, the design of enterprise systems. By the end of the study an employee will have theoretical knowledge, backed up by tests and assignments in the courses, as well as handouts from the courses.
A 3-dimensional histology computer model of malignant melanoma and its implications for digital pathology

Historically, cancer diagnoses have been made by pathologists using two-dimensional histological slides. However, with the advent of digital pathology and artificial intelligence, slides are being digitised, providing new opportunities to integrate their information. Since nature is 3-dimensional (3D), it seems intuitive to digitally reassemble the 3D structure for diagnosis.To develop the first human-3D-melanoma-histology-model with full data and code availability. Further, to evaluate the 3D-simulation together with experienced pathologists in the field and discuss the implications of digital 3D-models for the future of digital pathology.A malignant melanoma of the skin was digitised via 3 µm cuts by a slide scanner; an open-source software was then leveraged to construct the 3D model. A total of nine pathologists from four different countries with at least 10 years of experience in the histologic diagnosis of melanoma tested the model and discussed their experiences as well as implications for future pathology.We successfully constructed and tested the first 3D-model of human melanoma. Based on testing, 88.9% of pathologists believe that the technology is likely to enter routine pathology within the next 10 years; advantages include a better reflectance of anatomy, 3D assessment of symmetry and the opportunity to simultaneously evaluate different tissue levels at the same time; limitations include the high consumption of tissue and a yet inferior resolution due to computational limitations.3D-histology-models are promising for digital pathology of cancer and melanoma specifically, however, there are yet limitations which need to be carefully addressed.