Reviewerly/exHarmony huggingface dataset:
The Practical Application of Satir’s Iceberg Theory in Contemporary Education: Study Based on the Teacher-Pupil Relationship and Students’ Learning Efficiency of High School

Education plays a crucial role in people’s lives throughout history. Nowadays, all countries over the world attach great importance to education unprecedentedly, but teaching practice is far from many emerging advanced educational theories. Thus, educational theory and practical application must constantly reconcile and innovate. After collecting and analyzing relevant literature, this article adopts a case study, interview method and participatory research based on Satir’s iceberg theory to investigate the educational application practice in the stages of high school, where the most prominent contradiction has long existed. The objective of the study is to better achieve the goal of education, which means not only to impart knowledge but, more importantly, to cultivate students’ comprehensive qualities and abilities by teaching innovation. It explores the practical application of Satir's iceberg theory in contemporary education and combines specific cases to enrich it in order to provide new ideas and methods for educators. The results of the study revealed that positive and good interaction can improve the teacher-pupil relationship and students’ learning efficiency in high school, and educators can use Satir’s iceberg theory to touch the psychological world beneath the iceberg of students.
Design and Build API-Based Multistore Marketplace Using Agile Methodology

The business activities of a company require technology that can drive operational efficiency. Marketplaces have become one of the effective marketing channels today for promoting the company's products and services. To reach a broader market, having more than one store on a marketplace is a choice that many companies currently opt for. However, managing multiple stores on marketplaces is not an efficient management approach. This research is an applied study conducted in one startup company (profitto.co.id) that sells developing furniture components, aiming to provide the implementation of an API-based system integration solution to manage multiple stores on Tokopedia and utilizes the Scrum methodology for software development.
Security and Privacy of Wearable Wireless Sensors in Healthcare: A Systematic Review

Wearable Wireless Sensor Network (WWSN) devices are widely used in healthcare to monitor health data. However, when WWSN users transmit their data to healthcare professionals or third parties over wireless connections, they face privacy and security vulnerabilities. This paper aims to identify the unsolved privacy and security challenges in wearable sensor devices in healthcare, especially the aspects overlooked by previous research. The main research question is: What are the unsolved privacy and security challenges in wearable sensor devices in healthcare, and what are their implications for users and healthcare professionals? This systematic review employs specific keywords to search for relevant publications on bibliographic databases, including Google Scholar, Scopus, IEEE Xplore, and Web of Science. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) charts helped in screening and summarising the selected papers. The results highlight the critical areas that can make WWSNs vulnerable to security attacks. The findings examine the security and privacy issues of wearable sensor devices in cloud computing, fog computing, the Internet of Things (IoT) and the like. Many studies examine IoT due to its privacy and security challenges, especially regarding handling extensive data, using public channels, deploying advanced technologies, managing sharing policies alongside the growing number of wireless devices, and protecting data from hackers. These challenges seriously threaten the confidentiality, integrity, and availability of health data transmitted by WWSN users to healthcare professionals or third parties in cloud-based environments and IoT and are exacerbated by limited resources. The significant findings thereby focus on unresolved areas in IoT. This paper aims to safeguard against cyber-attacks on healthcare and increase users' adoption rate of WWSN devices.
Design and Parameter Optimization of Zero Position Code Considering Diffraction Based on Deep Learning Generative Adversarial Networks

Abstract Absolute measurement has consistently been the primary focus in the development of precision linear and angular displacement measurements. The scheme design of binary zero position codes is an important factor for absolute measurement. Designing and optimizing high-bit zero position codes with over 100 bits face considerable challenges. Simultaneously, the working parameters of zero position codes [unit code width ( b ), distance ( d ), and yaw angle ( α )] remarkably affect their post-installation performance, particularly in absolute positioning and limit code application in multi-degree-of-freedom measurement schemes. This study addresses these challenges by proposing a design method for zero position codes that considers diffraction based on generative adversarial networks and aims to explore a design with increased efficiency and accuracy as well as optimization for high-bit zero position codes. Additionally, the tolerance range of zero positioning performance for each working parameter is examined. By leveraging the adversarial network structure, this study generates the optimization of a 150-bit code and processes the tests of the zero position code by using simulation results. The following working parameter ranges for code design are recommended on the basis of theoretical and experimental results: b greater than 10 μm, d and α within 1000 μm and 3490 μrad, and avoidance of intervals with sharp changes in the full width at half maximum. The proposed code design and parameter optimization lay a solid foundation for research and engineering applications in absolute measurement field and have considerable potential for generalization and wide applicability.
Epistemic Logic Programs: A Study of Some Properties

Abstract Epistemic logic programs (ELPs), extend answer set programming (ASP) with epistemic operators. The semantics of such programs is provided in terms of world views , which are sets of belief sets, that is, syntactically, sets of sets of atoms. Different semantic approaches propose different characterizations of world views. Recent work has introduced semantic properties that should be met by any semantics for ELPs, like the Epistemic Splitting Property , that, if satisfied, allows to modularly compute world views in a bottom-up fashion, analogously to “traditional” ASP. We analyze the possibility of changing the perspective, shifting from a bottom-up to a top-down approach to splitting. We propose a basic top-down approach, which we prove to be equivalent to the bottom-up one. We then propose an extended approach, where our new definition: (i) is provably applicable to many of the existing semantics; (ii) operates similarly to “traditional” ASP; (iii) provably coincides under any semantics with the bottom-up notion of splitting at least on the class of Epistemically Stratified Programs (which are, intuitively, those where the use of epistemic operators is stratified); (iv) better adheres to common ASP programming methodology.
Correlating forensic data for enhanced network crime investigations: Techniques for packet sniffing, network forensics, and attack detection

&lt;p class="MDPI18keywords"&gt;In today’s digitally saturated world, digital devices are frequently involved in criminal events as targets, mediums, or witnesses. Forensic investigations encompass the collection, recovery, analysis, and presentation of information stored on network devices, with specific relevance to network crimes. Such investigations often necessitate the use of diverse analysis tools and methods. This study introduces techniques that support digital investigators in correlating and presenting information derived from forensic data, with a primary focus on packet sniffing, network forensics, and attack detection. By leveraging these methodologies, investigators aim to achieve more valuable reconstructions of events or actions, resulting in enhanced case conclusions. The study emphasizes the importance of understanding how malware operates within the context of the Internet. It explores packet sniffing techniques to capture and analyze network data, enabling investigators to detect and trace the origins of malicious activities. Additionally, it delves into the realm of network forensics, proposing effective methods for gathering evidence from network devices and reconstructing digital events. Furthermore, the study covers the significance of attack detection in network crime investigations. It highlights techniques to identify and analyze attack patterns, facilitating the identification of perpetrators and their motivations. By correlating information obtained from forensic data, investigators can obtain comprehensive insights into the nature and impacts of network crimes. Overall, this study aims to arm digital investigators with the knowledge and tools necessary to navigate the complexities of packet sniffing, network forensics, and attack detection. By incorporating these techniques into their investigations, investigators can achieve more robust reconstructions of events, draw well-informed conclusions, and contribute to the successful resolution of network crime cases.&lt;/p&gt;
Professional IT Ethics in Hacktivism - Case IT Army of Ukraine

This short paper is motivated by the current developments in the Russo-Ukrainian conflict and especially the broad emergence of cyber-based activities in it. The rise of crowdsourced activity in response to the conflict in the form of hacktivist groups such as the IT Army of Ukraine presents an ethical dilemma for IT professionals that is reflected in this paper with the help of the ACM Code of Ethics and Professional Conduct. Even though hacktivism as an activity could for the most part be seen as contradictory to the ACM Code of Ethics, the General Ethical Principles give surprising support for the activities of the IT Army of Ukraine in the current socio-political context of the Russo-Ukrainian conflict.
Some new quantum MDS codes with large minimum distance

Abstract The construction of quantum Maximum Distance Separable (MDS) error-correcting codes is of great significance in practical applications, as it plays a vital role in enhancing the reliability and efficiency of quantum communication and quantum computing. As a result, it remains an active research topic in the field of quantum information science. In this paper, based on generalized Reed-Solomon (GRS) codes and Hermitian construction, we construct two new classes of quantum MDS codes. Our constructed quantum MDS codes are novel in the sense that their parameters differ from all previously known codes. Furthermore, most of our codes exhibit significantly larger minimum distance compared to the existing ones of the same length.
Cloud Computing Transformed IT Organizations With Its On-Demand Model, Notably Infrastructure as a Service (IaaS). Cloud Providers Manage Extensive Physical Devices, Consuming Substantial Energy and Bandwidth for Data Traffic During Virtual Machine D

Cloud computing transformed IT organizations&#x0D; with its on-demand model, notably Infrastructure&#x0D; as a Service (IaaS). Cloud providers manage&#x0D; extensive physical devices, consuming&#x0D; substantial energy and bandwidth for data traffic&#x0D; during virtual machine deployment. Balancing&#x0D; energy and bandwidth are critical. This thesis&#x0D; presents BOHGOA integrated with ACO to&#x0D; optimize virtual machine placement in clouds,&#x0D; simultaneously considering bandwidth and&#x0D; energy. It yields Pareto-optimal solutions for this&#x0D; trade-off. Using CloudSim, BOHGOA&#x0D; outperformed GA, ACO, and FFD algorithms,&#x0D; reducing bandwidth consumption by 54.14%,&#x0D; 32.11%, 57.47% (240 VMs) and 38.12%,&#x0D; 22.76%, 47.05% (500 VMs) respectively.&#x0D; Additionally, it decreased physical machine&#x0D; energy usage by 37.70%, 34.01%, 40.14% (240&#x0D; VMs) and 27.50%, 22.28%, 30.52% (500 VMs)&#x0D; respectively. These results underscore&#x0D; BOHGOA&amp;#039;s effectiveness in optimizing cloud&#x0D; VM placement.
Institutional Redesign and Dynamics of Collaborative Ties in the Educational Ecosystem

As the landscape of education evolves, there is a growing need to understand and adapt to the changing dynamics of partnerships and collaborations within the educational sector. While previous studies have predominantly focused on spiral models, social networks, and platform models, little attention has been given to the emerging new institutional design in education. Through an extensive analysis of open sources, this research identifies the roles played by both conventional and non-conventional actors in shaping the educational landscape and their contributions to community development.&#x0D; The study reveals the evolving roles of universities, highlighting their active engagement in fostering entrepreneurship, creating vibrant communities, and supporting lifelong learning. As a result of our study, we propose a mapped scheme illustrating the relationships between the university and other actors within the educational space and illustrating the university’s potential to gain ecosystem leadership.&#x0D; In summary, by capitalizing on the identified opportunities, both parties (universities and non-conventional actors) can foster a thriving ecosystem, driving community development, lifelong learning, and local entrepreneurship.
Exploration of the Integrated Training Model for Information Technology Teachers

With the acceleration of the social information process, information awareness and information skills have become the basic qualities of every citizen. The establishment of the training mechanism for scientific and technological innovation talents from the beginning of higher education is insufficient to meet the needs of the development of the times. It is imperative to improve the training of information technology innovation talents and explore a new training model. This paper describes the general situation of the development of education in the field of information technology from a domestic and international perspective. It then analyzes the existing problems, explores new exploration models and implementation suggestions, and puts forward prospects at the end of the paper.
ANALISA KEPUASAN PENGGUNA WEBSITE TOP UP VOUCHER GAMES ONLINE MENGGUNAKAN WEBQUAL 4.0

The online gaming industry generates revenue through the sale of games that customers pay to play. In Indonesia, there are numerous programs that offer online game vouchers at different costs and with various payment options. The objective of this study is to identify the variables that influence user satisfaction on web applications that offer online game coupons. The study used the WebQual 4.0 methodology as a tool for evaluating the caliber of web apps. The research was conducted online via the Google Form application. The data collection period spanned from June 11, 2023 to June 29, 2023, and we got 130 respondents. The data was evaluated using descriptive statistical analysis with the aid of SPSS tools. The findings of this study indicate that the variable of Interaction Quality (X3) has a significant role in determining user satisfaction for online game voucher websites, however the factors of Usability (X1) and Information Quality (X2) do not exert any influence on user satisfaction. Therefore, this research shows that hypotheses H1 and H2 are rejected for all data groups. This research provides recommendations to online game voucher application owners to focus on interaction quality variables in further web application development.
Snail Homing and Mating Search Algorithm: A Novel Bio-Inspired Metaheuristic Algorithm

Abstract In this paper, a novel Snail Homing and Mating Search (SHMS) algorithm is proposed. It is inspired from the biological behaviour of the snails. Snails continuously travels to find food and a mate, leaving behind a trail of mucus that serves as a guide for their return. Snails tend to navigate by following the available trails on the ground and responding to cues from nearby shelter homes. The proposed SHMS algorithm is investigated by solving several unimodal and multimodal functions. The solutions are validated using standard statistical tests such as two-sided and pairwise signed rank Wilcoxon test and Friedman rank test. The solution obtained from the SHMS algorithm exhibited superior robustness as well as search space exploration capabilities within the less computational cost. The real-world application of SHMS algorithm is successfully demonstrated in the engineering design domain by solving three cases of design and economic optimization shell and tube heat exchanger problem. The objective function value and other statistical results obtained using SHMS algorithm are compared with other well-known metaheuristic algorithms.
Fostering cultural heritage awareness through VR serious gaming: A study on promoting Saudi heritage among the younger generation

This study employs a virtual reality (VR) game to examine the role of VR gaming in learning Saudi cultural heritage. By creating 3D (Three-dimensional) virtual heritage buildings, the game immerses players in cultural scenes, fostering a lasting appreciation for art history. Objectives include making heritage information dissemination engaging, blending learning and entertainment in a 3D environment, designing a gamified setting for active learning, and igniting interest in culture, tradition, architecture, and art history. This paper further highlights the significance of serious gaming in promoting the Saudi cultural heritage among the younger generation. The research involved immersing 59 participants into a heritage building environment using a VR game and then probing their experience of the environment through a questionnaire. Results indicate positive participant experiences, increased interest in Saudi cultural heritage and appreciation for VR technology. The study demonstrates the potential of VR games to make heritage accessible and enjoyable for the younger generation, motivating further exploration and learning. Valuable resources are provided for individuals and researchers interested in using VR gaming for cultural heritage engagement.
Methods Used in YouTube for Teaching and Learning English Language: A Systematic Literature Review

Challenges await in giving and receiving English instructions. One way globalization proposes to create a fun, engaging, and fulfilling setting for English language education is the appropriate use of YouTube. This paper is a systematic review of literature on the use of YouTube in teaching and learning the English language. It also followed thematic content analysis via manual coding. Eligibility criteria were prepared before going to Google Scholar and ERIC databases to look for studies that could be used. PRISMA Flowchart was used to show how the researcher only had 46 articles for this study. PICO Framework was utilized to summarize the data gathered and aid the researcher in asking the question, “How was YouTube used for teaching and learning the English language? and “What specific skills are developed in the use of YouTube for teaching and learning English?”. The results constructed Horizontal, Intersecting, Vertical, Parallel, and Spiral methods for English instruction. It also revealed that speaking, pronunciation, listening, self-learning, comprehension, grammar, reading and writing improved. Future researchers can work on guidelines for selecting content or using YouTube for teaching and learning the English language.
KLASTERISASI ANGKATAN KERJA DI INDONESIA BERDASARKAN USIA MENGGUNAKAN METODE ALGORITMA K-MEANS

The concept of the population is divided into two groups, namely the working age population and the population not working age. Indonesia, which has 34 provinces, has an unequal distribution of labor force due to the level of economic growth that is still not evenly distributed in several sectors. Labor is the most important and influential element in managing and controlling the economic system. In this study the method used in the grouping of provinces was based on the workforce in 34 provinces using the K-Means algorithm. The purpose of grouping data is done to get a province grouping that has a workforce in Indonesia by grouping / clustering into 3 groups based on age groups using the K-Means algorithm. Based on the calculations, the results of cluster 0 were 6 provinces, cluster 1 as many as 3 provinces and cluster 2 were 25 provinces. The K-Means algorithm can be used to understand the workforce problems and make it easier to describe the characteristics or characteristics of each group. Based on these results, the local government can give more attention to the regions with the smallest workforce such as the Province of Central Sulawesi, East Kalimantan, Jambi so that economic growth in various sectors can be increased so that the welfare of the workforce, especially in terms of work in the field of work can be easily obtained.
Kinetic Model Evaluation of Arsenic and Selenium Sources and Mobility in Waste Rock of the Powder River Basin, USA

Abstract Groundwater quality can be impacted through the backfilling of coal pits with waste rock containing new mineral surfaces and transportable particles. Reaction fronts may propagate with the saturation of these backfill aquifers as the previously bound minerals and newly created nanomaterials provide additional release of potential contaminants. This study was implemented to identify newly available arsenic and selenium sources and effectively model their release with the weathering of waste rock from the Cordero Rojo Mine in the Powder River Basin, Wyoming. Basic forward models were constructed to replicate the typical modeling scenario for the identified mineral sources of arsenic and selenium in the Powder River Basin overburden—pyrite and gypsum, respectively. The basic forward models were unable to capture the arsenic and selenium trends recorded for leachate from a kinetic column loaded with waste rock from the Cordero Rojo Mine. Enhanced models were constructed to capture nanomaterial contributions to supplement the initially identified processes of the oxidation of arsenic-bearing pyrite and dissolution of selenium-bearing gypsum. Incorporation of the nanomaterial contributions produced modeled arsenic and selenium trends similar to the observed trends in the column leachate. The identification and modeling of newly available contaminant sources in backfill waste rock is necessary to predict the exceedance of water quality criteria for overburden formations that have not previously shown the potential for water quality contamination.
The Influence of Organizational Culture and the Role of Internal Audit on Fraud Prevention

The rise of fraud or fraud that occurs in organizations can cause losses to the organization so that the organization is difficult to develop, so there is a need for awareness of the importance of fraud prevention to minimize losses due to fraud. This article aims to examine and review research related to the factors that influence fraud prevention, namely organizational culture and the role of internal audit. This literature review also has the aim of developing hypotheses about the influence between variables to be used in further research. The results of this research article conclude that organizational culture, and the role of internal audit have a positive effect on fraud prevention. This indicates that the better the organizational culture and internal audit, the better the implementation of fraud prevention in the organization