Reviewerly/exHarmony huggingface dataset:
Learning Using TikTok for Reducing Pronunciation Errors

Technology has advanced swiftly within the realm of education, and it has had a significant impact on teaching and learning. The researcher uses a social media TikTok duet feature, which is currently very popular among students as a medium for English learning. These studies specifically focus on the potential of TikTok for reducing pronunciation errors. The aim of this research is to reduce students' pronunciation errors by using the TikTok application. The problem that will be examined is whether TikTok can reduce students' pronunciation errors. This research employed a quantitative methodology and adopted an experimental design. The participants were segregated into two categories: an experimental group and a control group. The study sample was derived from two classes at SMP Negeri 1 Pandaan, specifically the 9th grade, comprising a total of 62 students. The instruments used were pretest and posttest administered before and after treatment. The examination test comprised of typically dispersed understudies with comparable attributes, guaranteeing homogeneity. Factual procedures, for example, free examples t-test and estimated time of arrival squared test were utilized for examination. The SPSS test yielded a value of 0 that was statistically significant. 000. As 0.000 under 005. Consequently, H0 is dismissed and H1 is acknowledged. This study saw as a higher η-square worth (0.733) in the exploratory gathering contrasted with the benchmark group (0.582), showing a bigger impact size because of exploratory condition. This demonstrates that roughly 73. The treatment was responsible for 3% of the experimental group's variance in the dependent variable. It showed that students reduce after using TikTok as a learning media because TikTok is popular social media. So that student can be motivated to learning material. This implies that using TikTok application as a learning media can reduce pronunciation errors in students.
Pages to Screen: Digitalized Yearbook with Chatbox and Gallery

This study explores the potential of Digitalized Yearbook as a transformative tool. Aimed at enhancing customer engagement, streamlining yearbook production, and expanding service offerings, Digitalized Yearbook promises to position its client as a leader in innovative event photography and printing solutions. With a focus on improving alumni engagement and school administration efficiency, Digitalized Yearbook serves as a dynamic platform for reconnecting graduates, managing data, and preserving school memories. Utilizing the Waterfall Model, this project adhered to clear, defined stages, facilitating effective planning, resource allocation, and quality control. This structured approach minimized risks and enhanced the efficiency of the development process. The evaluation of Digitalized Yearbook revealed a 94.37% effectiveness rate, marking it as 'Excellently Functional.' This score reflects not only the system's technical proficiency but also its successful integration of functionality, reliability, and user-centric design, indicating its substantial potential to revolutionize the landscape of event photography and alumni engagement.
Notes towards infrastructure governance for large language models

This paper draws on information infrastructures (IIs) in science and technology studies (STS), as well as on feminist STS scholarship and contemporary critical accounts of digital technologies, to build an initial mapping of the infrastructural mechanisms and implications of large language models (LLMs). Through a comparison with discriminatory machine learning (ML) systems and a case study on gender bias, I present LLMs as contested artefacts with categorising and performative capabilities. This paper suggests that generative systems do not tangibly depart from traditional, discriminative counterparts in terms of their underlying probabilistic mechanisms, and therefore both technologies can be theorised as infrastructures of categorisation. However, LLMs additionally retain performative capabilities through their linguistic outputs. Here, I outline the intuition behind this phenomenon, which I refer to as “language as infrastructure”. While traditional, discriminative systems “disappear” into larger IIs, the hype surrounding generative technologies presents an opportunity to scrutinise these artefacts, to alter their computational mechanisms and introduce governance measures]. I illustrate this thesis through Sharma’s formulation of “broken machine”, and suggest dataset curation and participatory design as governance mechanisms that can partly address downstream harms in LLMs (Barocas, et al., 2023).
Image encryption based on s-box and 3D-chaotic maps and secure image transmission through ofdm in rayleigh fading channel

Data security is vital if transferred over a wireless network or stored on a personal computer. The essential properties of chaos, such as initial state sensitivity and unpredictability, make it a crucial candidate for encryption applications. This paper proposes a 3D chaotic map and a cascaded S-Box that can be combined to get a high-efficiency and complex cryptographic algorithm. The first stage is ciphering using a 3D cat map, the second stage is an S-box based on a 3D Henon map, and the third stage is another ciphering stage using a 3D Henon map. This study combines various encryption techniques, including cipher algorithms and substitution boxes, with the OFDM system to establish a secure image transmission over a Rayleigh fading channel. BPSK modulation is used to ensure the simplicity of the proposed system. Three grey images are used, Lena, the camera-man, and Pepper, for testing and comparing with previous works. Security analysis is performed to evaluate the quality and security of the encryption process. For image transmission evaluation, the PSNR and BER are utilized. According to the statistical results, the proposed image encryption scheme is secure and efficient. The comparison with the previous studies shows that this system is competitive with previous works.
Organizational Culture’s Involvement Dimension and Academic Staff Task Performance

The influence of empowerment, team orientation, and capability development dimensions of involvement on academic staff’s task performance at Cihan University-Erbil is examined in this paper. By shedding light on the link between these involvement characteristics and academic staff task performance, this study adds to the body of knowledge in the field of organizational behavior and management. This research uses a quantitative methodology. Based on well-known theories and scales for task performance, empowerment, team orientation, and capability development, a questionnaire is created. Academic staff members from Cihan University-Erbil’s various departments make up the sample. To guarantee representation and generalizability of the results, a random sampling approach is used. The study contributed to the body of knowledge on involvement performance in this setting by demonstrating how academic staff task performance was positively impacted by empowerment, team orientation, and capability development. Furthermore, the results offer significant perspectives for academic staff and university administrators on how to raise the degrees of empowerment, team orientation, and capability development to enhance academic staff task performance.
A Scoping Review on the Hidden Curriculum in Education

This article provides a systematic overview of constituting elements of the hidden curriculum in education: norms reproduced in the social context, group roles and behaviors, media for norm transmission; their effects on individuals and society, and various coping strategies. A scoping review was conducted, analyzing 23 articles based on defined categories. The literature reveals different reproduced norms (e.g., conformity, temporal rhythmizing), roles with specific attributes (e.g., teacher power, student recognition), and media for norm transmission (e.g., teaching materials, routines and rituals). Effects of the hidden curriculum occur on individual and societal levels, with various coping strategies identified.
Organizational information security threats: Status and challenges

Organizational information security is a critical concern in today’s interconnected and data-driven world. With the increasing frequency and sophistication of cyber threats, organizations face significant risks to the confidentiality, integrity, and availability of their sensitive information. This paper provides an overview of the key aspects and challenges related to organizational information security. It highlights the importance of implementing robust security measures, such as firewalls, intrusion detection systems, encryption technologies, and secure coding practices, to protect against external threats. It also demonstrates the need for continuous monitoring, threat intelligence sharing, and incident response capabilities to detect and respond to security incidents effectively. This survey shows importance of user awareness, training, and adherence to security policies and procedures. In addition, the significance of establishing a security-centric culture within organizations to mitigate the risk of insider threats and promote a strong security posture is discussed. The evolving threat landscape, including challenges associated with advanced persistent threats, zero-day vulnerabilities, and the security of emerging technologies such as IoT and AI are highlighted, together with the need for ongoing research and innovation to address these challenges and enhance the effectiveness of preventive measures.
Supplemental Material: Cenozoic Pb–Zn–Ag mineralization in the Western Alps

&lt;p&gt; Analytical methods and monazite U–Th–Pb, allanite Th–Pb and phengite Rb–Sr data analysis for the Pb–Zn–Ag deposits in the French Northern Alps; chemical map with summary table of the phengite and albite compositions; Tables S1–S8; and Figures S1 and S2. &lt;/p&gt;
Enhancing Data Access Security through the Utilization of [2048,512,4] Linear Code

Linear code is a type of error-correcting code that satisfies the property of closure under addition. Linear codes have been a major component in data security and cryptography and has been proven as an important tool in maintaining privacy. Linear code, [n,k,d] is a type of linear code with specific parameters that describe its properties and capabilities with n being the length of codewords, k, the dimension of the code and d denotes the minimum Hamming distance. Code [2048,512,4] is an example of [n,k,d] Linear code with large codeword length, high dimension and a moderate minimum hamming distance. It was generated by a combination of two of [1024,256,4] linear code and its validity has been verified and confirmed using Gilbert Varshamov bound. This paper proposes a technique to enhance data access security by utilizing linear code [2048,512,4]. The proposed algorithm utilizes a sophisticated linear code equivalence test methodology to create a robust and secure system that generates and validates unique [2048, 512, 4] linear codes. These codes serve as highly effective authentication mechanisms, granting individualized access privileges to different users within the system. Also, by employing cutting-edge techniques in linear code equivalence testing, the algorithm ensures the generation of distinct and non-repeating [2048, 512, 4] linear codes, uniquely tailored to be each user's credentials. The analysis of the results reveals that to breach such a security measure, an intruder would need to contend with a vast number of permutations and combinations. In particular, there are 2048 P 2048 patterns and an astounding 131,328 distinct combinations of codewords that remain unknown to any potential breacher. These findings underscore the robustness and invulnerability of the proposed technique for enhancing data access security. The proposed technique also demonstrates a potential for significantly enhancing the protection of sensitive data for organisations in both pre-quantum and post quantum computing within the digital ecosystem.
Clustering-based Recommendations for Enhancing Students’ Academic Performance by Recognizing Prevalent Assessment Method using Exploratory Data Analysis

Objectives: To analyse students’ academic performance based on assessment methods and determine the most prevalent one through which students can be categorised for recommending optimal student-centered pedagogies that enhance students’ performance. Methods: Exploratory Data Analysis identifies the implications of the assessment methods based on the marks obtained by students in Continuous Assessments (CA) and the Cumulative Test (CT). Continuous Assessment (CA) and Cumulative Test (CT) marks of three subjects that come under foundation science, elective, and skill-based course of 100 undergraduate students are collected from a reputed Arts and Science Institution using stratified sampling technique, analyzed, and the recommendations are made based on the statistical observations and cluster analysis. Clustering recognises learning patterns of the students’ on the learners’ data. The Elbow method determines the number of clusters where the Silhouette score identifies the best suitable clustering technique for the dataset. K-Means Clustering categorises students based on their performance, that helps to give recommendations to improve. Findings: Based on Univariate and Bivariate analysis on the dataset, this work identifies Continuous Assessment (CA) as a prevalent evaluation strategy that motivates students to get engaged throughout rather than just before the exam. Based on the Silhouette Score (above .5), K-Means clustering is chosen to discover hidden patterns in the assessment marks depending on the three clusters determined by the Elbow method. It helps to identify the underperformers (46%) and suggest personalised recommendations for improving student’s academic performance as per clusters. Novelty: This work integrates Statistical Analysis and Clustering Analysis as per the optimal clusters determined by the Elbow method for identifying patterns hidden in assessment marks based on the prevalent assessment types. As a result, it enables more personalised recommendations for recognising the predominant assessment method and boosting academic achievement. Keywords: Continuous Assessment, Cumulative Test, Statistical Analysis, Exploratory Data Analysis, Univariate, Bivariate, Cluster Analysis, Elbow Method, K­Means Clustering
FUTURE-PROOFING THE WORKFORCE: TRAINING AND DEVELOPMENT IN THE DIGITAL AGE

In the context of quick technological development, this qualitative research study focuses on training and development strategies in the digital age. Relying on secondary data analysis, it synthesises diverse sources such as literature, articles, websites, reports, and case studies. The research explores workforce readiness for digital transformation, emphasising key themes like adaptive learning, immersive technologies (virtual and augmented reality), and continuous learning. Uncovering challenges in accessibility, engagement, and resource allocation, the study offers valuable insights for organisations navigating the digital landscape. It provides a nuanced understanding of the shifts in workforce development, guiding practitioners with practical, data-driven recommendations. This research is valuable for organisations and practitioners aiming to equip their workforce with the essential skills for success in an ever-changing digital environment.&lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/lit/0758/a.php" alt="Hit counter" /&gt;&lt;/p&gt;
Digital Literacy for Women's Empowerment: A Solution to Grow Awareness of Countering Hoaxes

The purpose of this study is to explore the effectiveness of digital literacy programmes for women to raise awareness and combat hoaxes. The object of the research is the women's recitation community who are members of the Aisyiyah organisation. The importance of digital literacy in today's digital era and the need for continued investment in programmes to help women become more digitally literate. Using a quasi-experimental design, this study used pre-test and post-test data to measure awareness and combat hoaxes. Data was collected from primary and secondary sources, including surveys and literature reviews. The results showed an improvement in literacy and this reflected the participants' understanding and application of digital literacy skills, including social media, blogs, videos, images and editing tools. A comparison between the pre and post-test results and the change in error rates can give an idea of the increase or decrease in digital literacy skills after the programme.
DATA QUALITY ASSESSMENT: A CASE STUDY ON ASSET VALUATION COMPARISON DATA

To realize a data-driven organization, good data quality is needed as a foundation for solving various problems related to data management. The case study used in this research is asset valuation comparison data. The purpose of this research is to define dimensions, measure and analyze data quality on asset valuation comparison data. There are three dimensions used in measuring data quality in this study which are adjusted based on existing regulations at Ministry X, namely accuracy, completeness, and validity. This research uses the stages in the Total Data Quality Management (TDQM) framework to measure data quality. The results of measuring all dimensions, 29 out of 58 business rules cannot be fulfilled completely. The business rules that can be fulfilled in each dimension are 47.06% in the completeness dimension, 60% in the validity dimension, and 44.44% in the accuracy dimension. The main factor causing the existence of data attributes that have not met the data quality business rules is because the asset valuation comparison data comes from various data sources. In addition, there are methods or standards for recording data from data source units that are not uniform, so an evaluation of the uniformity of data standardization and the implementation of data governance is needed. The results of this study can be used as material for organizational consideration to be more aware of the current state of data quality. In addition, it can be used by organizations to design strategies and steps to improve data quality so that it can support leaders in making the right decisions.
Does the Effect of Different Governance Channels Depend on the Level of Development of African Countries?

The level of development of African States is consistent with the discussions surrounding the need for countries in the region to be fully immersed in practical philosophy. Decision-makers must adopt a coordinated strategy to stimulate the sustainable development of their economy; by incorporating various national plans aimed at encouraging well-being into national governance mechanisms. This paper studied the impact of governance on sustainable development. We use a dynamic panel estimation model, incorporating the PCA technique, to group the governance indicators of Kaufmann et al. [1] into three main composite indicators: economic, institutional and political governance. The Pooled Mean Group (PMG) estimate shows that the development level of African countries is strongly influenced by established institutions. In the short- and long-term, various governance indicators (political, economic, and institutional) have a significant impact on human development and the ecological footprint of countries with high levels of development. On the other hand, they can only significantly stimulate development in countries with a medium level of development in the long term. Much more effort should be made in poorly developed countries to address the shortcomings that limit the implementation of laws and the fulfillment of the obligations of companies, the state, and citizens to ensure sustainable development.
Application UI UX Design Selling Laptops Online Using The Design Thinking Model

Nowadays, there are several online payment systems over the internet to serve the needs of online businesses. Buying and selling laptops online has become popular due to its convenience, wider selection, and competitive prices. Customers can browse various brands and models, compare features and prices from various sellers on e-commerce platforms. The purpose of this research is to design a mobile-based online laptop selling application that can make it easier for users to order laptops that are more efficient by using design thinking modeling. After designing the user interface, further testing is carried out using the System Usability Scale (SUS) approach which obtained a score of 65 which is at grade D, so it can be concluded that the design of the user interface of this laptop selling application is okay to be developed into a mobile-based application.
Study of digital approach in education and psychology among selected users in Ukraine

The purpose of the article is to study the digital approach in pedagogy and psychology of the future, to characterise the main trends and globalisation challenges that will accompany this process in the future. The scientific research methods used for the study are survey (with a coverage of 300 people), analysis, synthesis. Descriptive statistics, correlation and thematic analysis were used to summarise the quantitative results. The results of the study indicate that significant transformations are observed at the level of interaction between mentors and students, in the process of shaping the content of education and using tools for knowledge transfer. Until now, the focus of digital technologies has been on the interaction between teachers and students, but in the modern context, this approach has evolved into comprehensive horizontal communication within the educational community. The results of the study confirm that the use of digital tools is a productive and useful measure, which is recognised by most respondents. At the same time, a significant number of respondents use digital tools on a regular basis, even daily or several times a week. This indicates a high level of integration of digital technologies into the work of teachers and psychologists in general. It is important to note that, unlike European and American colleagues who actively introduce elements of artificial intelligence into the educational process and activities of psychologists, Ukrainian respondents mainly focus on the use of online platforms such as Zoom, Microsoft Teams, Google Meet, Moodle, Google Classroom, etc. This is in line with current trends in assessing the impact of digitalisation on the professional activities of teachers and psychologists. The conclusions indicate that it is equally important to further develop research in the direction of using foreign experience that actively implements the capabilities of artificial intelligence.