Reviewerly/exHarmony huggingface dataset:
Survey paper on different Cloud Auditing Systems

Let us start by considering that there is a public pool of computer resources, these resources are made available as and when required i.e., are offered on-demand to the users. This is Cloud Computing in its simplest and most basic form. The different cloud services being offered can be categorized as application as a service (PaaS), infrastructure as a service (IaaS), and software as a service (SaaS). The requirements of a cloud user fall under any of these services and accordingly can be offered to the cloud user.&#x0D; In current times, there is lot of interest in cloud computing as well as in its adoption. But the cloud users are fearful of losing the power and governance due to lack of transparency, accountability and confidence in the cloud. To improve the trust of cloud users, the cloud can be audited and verified against cloud user’s security properties. This helps in instilling a sense of faith in cloud users that their security properties are respected in the cloud. The cloud presents several problems in collection of data and processing due to the irregularity of information architecture and the lack of correlation. Furthermore, on one hand the size of cloud is humongous and on the other hand there is continuous or runtime need of validation, hence the verification of security properties becomes a difficult task.&#x0D; Still, lot of work is happening in cloud security auditing. In this paper, we will try to review and summarize some of the recent work done in this area.
Balancing Human Rights and the Use of Artificial Intelligence in Border Security in Africa

In a continent marked by its historical pursuit of secure borders, Africa now stands at a pivotal juncture, transitioning from traditional physical barriers to harnessing the transformative potential of Artificial Intelligence (AI) technologies. This transformation signifies the continent’s unwavering commitment to efficiency and innovation, yet it unveils a formidable challenge – striking a harmonious balance between the imperative of security and safeguarding of fundamental human rights and freedoms. The integration of AI in border security, with its utilization of biometric data, facial recognition, iris scanning, and more, has given rise to a host of intricate concerns, including ethical considerations such as transparency and accountability. Privacy emerges as a paramount issue as the data reservoirs amassed at border crossings raise questions about storage, accessibility, and potential misuse. The complexities of personal information management take centre stage, necessitating scrutiny over data handling, security, and safeguards against abuse. Through an examination of historical trends and a detailed analysis of past and present border security practices in Africa, this paper reviews the evolution of strategies and challenges in Africa’s border security. This investigation spotlights the continent’s adoption of AI as a cornerstone in safeguarding its borders. However, it underscores that while advancements are evident, a delicate equilibrium must be achieved. This paper argues that achieving a harmonious balance between bolstering security measures and safeguarding individual rights and freedoms, all within the framework of ethical principles is an attainable endeavor.
Study on the spelling norms and errors in the use of Korean abbreviations

Chapter 4, Section 5, Paragraphs 32 to 40 of the Hangul Orthography, which is the Korean language norm, provides detailed regulations on the spelling of Korean abbreviations. However, actual Korean speakers show usage patterns that are significantly different from the norms when it comes to spell and use of abbreviations, or experience a lot of confusion about normative usage. In addition, words that are not commonly used in the Korean language appear to be included in the norms. Accordingly, there is a need to systematically organize the norms for Korean abbreviations and examine the gap with actual usage patterns.&#x0D; To summarize what I learned about the writing norms and usage patterns of Korean abbreviations in this paper, it is as follows. First, there were forms that used the normative abbreviation with significantly lower frequency. Examples include ‘‘mwosi, mue, bwaeseo, ssaeeo, pyeda’, etc.&#x0D; Second, there were forms of both normative abbreviation and incorrect abbreviation that showed a certain degree of usage frequency. For example, ‘didyeo:*dideo’, seopseopji:*seopseopchi’, etc.&#x0D; Third, there were examples in which the original forms of some abbreviations was rarely used in real use. Examples include ‘gaatda, seoeotda, pyeoeotda’, etc.&#x0D; Fourth, among the same type of abbreviations, there were some examples where the normative form was used frequently, while there were also examples where the incorrect form was used frequently. For example, even though it is an abbreviation of the same type, ‘yokeondae:*yogeondae’ has a high frequency of use in the normative form, but the frequency of use of the two forms of ‘ganpyeonke:*ganpyeonge’ was similar.&#x0D; It is hoped that this discussion in this paper will reduce confusion among Korean users regarding abbreviated spelling and help foreign learners learn Korean. In addition, it is believed that it will be a reference in establishing liguistic norms for Korean abbreviations.
A Study on the Types of New Words Including Chinese Characters and their Social and Cultural Implications -Focusing on the new words in the New Zones Dictionary column among the Seoul Economy and the Asian Economy from 2020 to 2023-

The purpose of this paper's study is to educate Chinese people who study Korean in new words that include Chinese characters. To this end, the research method and contents of the research were extracted from all new words published in the 『Seoul Economy』and『Asia Economy』from 2020 to 2023. The extracted new words were classified into morphological and semantic categories and analyzed. Through this, the morphological characteristics and semantic results are summarized as follows. First, when categorized in morphology, three-syllable new words accounted for the largest proportion. Second, when looking at languages style, the most common complex style with “Han + Go” appeared. Third, the proportion of each new word classification that includes Chinese characters according to the coined language method was in the order of abbreviation &gt; synthesis &gt; hybrid &gt; borrowing &gt; folding &gt; prefix. Fourth, based on meaningful classification, social and cultural phenomena such as “social phenomena in which dating violence frequently occurred,” “serious employment difficulties,” and “increase of single-person households and the current pursuit of happiness” can be seen. New words are created by changes in cultural background or social phenomena. Therefore, if linked with social and cultural backgrounds, more effective vocabulary education can be achieved.
Effects of Metacognitive Monitoring Strategy on Korea-China Translation Ability: For Korean language students at universities in China

The purpose of this study is to study the effect of improving the translation consciousness and translation ability of learners in the 3rd year of the Department of Korean Language at Chinese University by applying metacognitive monitoring among metacognitive strategies to Korean translation classes. Metacognitive strategies are widely applied to foreign language learning, and among them, metacognitive monitoring strategies are used as important educational means as the core content of metacognitive strategies. This study investigated whether metacognitive monitoring strategies were applied to translation classes of the 3rd year of Chinese universities and Korean learners to improve their translation consciousness. To this end, five parameters belonging to metacognitive monitoring were analyzed and organized, and lecture contents and reflection journals were designed accordingly and introduced into Korean-Chinese translation classes. Through a survey and a Korean-Chinese translation test, the correlation with the T-test was detected on the effect of applying metacognitive monitoring. According to the analysis of the detection results, learners who applied the metacognitive monitoring strategy had a sense of detection of translation knowledge that selected appropriate vocabulary and grammar according to the translation consciousness considering the entire sentence, and the experimental results showed that the self-regulation ability related to translation increased. Conversely, learners who did not encounter metacognitive monitoring strategies showed the results of not achieving educational goals.
Artificial intelligence and blockchain technology for efficient electronic medical record management

Over the past decade, blockchain technology has expanded at a staggering rate. The clandestineness and anonymity that "B" provides led to its primer as the underpinning of cryptocurrencies like Bitcoin, but it quickly found efficacy in other contexts as well. Secure data logging, transactions, and maintenance via smart contracts (SCs) are just a few examples of how blockchain technology has been put to use in the healthcare sector. Artificial intelligence (AI) has been extensively incorporated into blockchain to make it smart, bringing together the best of the two technologies. Many people have many physicians and receive multiple prescriptions and reports over the course of their therapy. Physicians and medical personnel can use the medical information of a patient to better care for them in the event of a life-threatening situation. However, time constraints prevent them from reviewing the person&apos;s medical record and a variety of past findings and prescriptions. In this chapter, we put forward a blockchain-based framework that incorporates AI to streamline the process of compiling a patient&apos;s medical history from disparate sources such as prescriptions (printed or handwritten) and imprinted documents into a single record. The report is kept safely via a decentralized blockchain network and displays just the most important facts in a succinct style for ease of access and reading.
Penerapan Media Pop Up Book Pada Pembelajaran IPAS Materi Ayo Berkenalan Dengan Bumi Kita Pada Siswa Kelas 5 SD Negeri 2 Kalirejo

Low student interest in learning is a cause that comes from teachers paying less attention to learning facilities for students at school, often we find that the learning that teachers provide to students is still very simple, this can affect student interest in carrying out learning. The purpose of this study is to describe the planning, implementation, supporting factors and inhibiting factors of the application of pop up book media in learning IPAS material Let's Get Acquainted with Our Earth in grade V students of SDN 2 Kalirejo. The type of research used is qualitative with a descriptive approach design. Data collection techniques through observation, interviews, and documentation. The research place was conducted at SD Negeri 2 Kalirejo. The research time started from August 2023 to November 2023. Data validity uses triangulation of sources and techniques. Data analysis techniques use data analysis steps according to Miles and Huberman which consist of data collection, data reduction, data presentation, conclusions. The results of this study indicate that by using Pop Up Book learning media on the learning IPAS, students look enthusiastic in participating in learning, students are more focused and active to answer the material presented, students feel happy with learning using pop up book media, the application of pop up book media has succeeded in motivating students, the material conveyed is easily understood by students.
Worldwide research history and trends on Blockchain applications in education: A bibliometric analysis, 2017-2022

Academic scholars have been studying Blockchain technology since 2017. As a result, the progression of this technology has drawn interest from researchers in various research fields, including education. Because of this tendency, it is imperative that the existing literature be thoroughly reviewed to assist researchers in identifying gaps for future studies. Thus, this study used bibliometric analysis to assess the current research trend on blockchain applications in education. This study compiled all published works on Blockchain in education as of January 8th, 2023, from the Scopus database. The data was integrated using Publish or Perish software, and data visualization was done using VOSviewer. Additionally, Microsoft Excel was used to analyze the data. Fifty-one documents were retrieved in total based on the search results. In particular, from 2018 to 2019, the growth rate of publications in educational Blockchain increased dramatically. Most of the publications were written in English and published in journals and conference proceedings. Computer science has dominated research on educational Blockchain, and most research was done in India. The analysis also revealed that the most commonly used terms, "blockchain" and "blockchain in education," correspond to the main areas of study that have been done on the educational Blockchain. Unfortunately, the assessment component has received very little attention from previous educational blockchain studies. In addition to outlining the development of the scientific literature on the subject, this study also highlights areas of current research interest and possible future research prospects.
Chatbot research: Unveiling evolutionary trends and collaborative pathways through bibliometric analysis

As technology continues to grow and rapidly transform, marketing techniques have adapted to meet the evolving desires and requirements of customers. The recent advancements in artificial intelligence (AI) and machine learning, coupled with the widespread popularity of the internet and messaging platforms, have led businesses to shift their focus toward chatbots. This study aims to contribute to the field of chatbot research by conducting a bibliometric analysis of chatbot papers available in the Scopus and Web of Science (WoS) databases. A comprehensive analysis of 360 articles was performed utilizing the Bibliometrix software package. The keywords "Chatbot" and "Artificial Intelligence" emerged as the most frequently employed terms in the majority of publications. Collaboration between the United States and China was found to be the most extensive in the field. However, limited studies have been conducted on marketing-related aspects of chatbots, such as anthropomorphism, customer satisfaction, and trust. This study reviews Scopus and WoS titles and abstracts to provide an in-depth view of chatbot research and recommends new areas of research.
Penerapan Metode Profile Matching pada Proses Penerimaan Siswa Baru MTs N Fillial Jeblog

&#x0D; &#x0D; &#x0D; &#x0D; MTs N Fillial Jeblog Klaten is a place of education where supporting the acceptance of new students still takes a long time or is less efficient in determining whether students are declared accepted or rejected. There needs to be a decision support system that helps schools determine whether students are accepted according to school criteria. With a decision support system designed using the profile matching method, this problem can be resolved by using a computer system that applies the profile matching method to the process of admitting new students, which in the process uses national exam scores, mathematics, Indonesian, English and achievement as assessment criteria. and prospective students who register as an alternative.&#x0D; &#x0D; &#x0D; &#x0D;
Sistem Informasi Geografis Peta Lokasi Toko Oleh-oleh Khas Wonosari Berbasis Website

&#x0D; &#x0D; &#x0D; &#x0D; &#x0D; Wonosasri, Gunung Kidul district, Special Region of Yogyakarta is famous for having quite a lot of interesting tourist destinations for tourists to visit. Tourist attractions that are quite famous in Indonesia are Wediombo Beach, Nglambor Beach, Becici Hill Pine Forest, Oya River, Ngringrong Valley, Sri Gethuk Waterfall, Ki Ageng Giring III Grave, Baron Beach, Wunung Giri Sela Kandha, Stone Garden, Kejawan Temple, Tanding Cave, Pindul Cave, Kalisuci Cave Tubing, Jomblang Cave, HeHa Sky View, Gesing Beach, Sadranan Beach, Drini Beach, Bukit Bintang, Puncak Segoro, Tanding Cave, Embung Glangeran, Slili Beach and many others. Apart from being famous as an attractive tourist destination, Wonosari Yogyakarta also has various types of souvenirs typical of Tiwul food, Gatot, Nasi Tiwul, Prawn Peyek, Fried Grasshoppers, Fried Lungkrung, Cassava Crackers, Various processed sea fish, Seaweed Peyek, Manggleng, Pathilo , and ornamental stone handicrafts, wooden and wooden batik crafts, natural colored batik crafts, bamboo crafts, vetiver crafts, natural handicrafts, silver crafts, cast metal crafts, blacksmith crafts, copper and brass crafts, and so on. Tourists who want to buy souvenirs often have difficulty finding souvenir shop locations. This research aims to develop a system that can provide information on the location of souvenir shops around users. This research was built using the waterfall method starting with the analysis, design, implementation and stages testing. The programming language used is PHP and MySql for the database. The result of this research is that a website that can display locations can display the distance and information on souvenir shops so that it really helps tourists/people to see the distance and information on souvenir shops. According to the UAT testing carried out, it is hoped that 90% of tourists/people will be helped. with the development of this system.&#x0D; &#x0D; &#x0D; &#x0D; &#x0D;
Sistem Informasi Layanan Pengadilan Agama Boyolali Berbasis Android

The Religious Court or often referred to as the Religious Court is one of the government institutions that carries out judicial functions in the field of religious law issues, especially Islam, such as marriage problems and inheritance issues in Islam. The religious court as a government institution is currently working to create information transparency and improve public services to the public. There are several services on the Boyolali Religious Court, this research focuses on making the Boyolali Religious Court Information System based on Android using a flutter framework from the client side, for the admin using the web created using codeigniter flramework. Data collection methods include interviews, observation, literature study and questionnaires. The method uses the extreme programming method (XP). The result of this research is the construction of a web-based and android-based Boyolali Religious Court Service Information System which informs what services are available at the Boyolali Religious Court and features checking the Divorce Certificate online via androd.
Digital Assessment and Validation of Personnel Innovation Capability in E-commerce Industry Based on Trusted Execution Environment by Blockchain Technology

In recent years, the performance of employees has become particularly critical in the complexity of the e-commerce business environment and the continuous optimization of duties and divisions of labor. Therefore, it is important to effectively assess the personnel in the competitive environment and encourage their innovative capabilities. In this study, blockchain technology was used to establish a digital archive for e-commerce personnel based on the assessment of the digitalization of the innovation ability in e-commerce. The purpose was to enhance the ability of e-commerce personnel to conduct research and raise the industry’s expectations for them. The results were used to establish a post-trust mechanism for the certification process of each e-commerce personnel. Using Trusted Execution Environment (TEE) technology, the e-commerce industry personnel were trained for full lifecycle storage, sourcing, authentication, and modeling. This study introduced the TEE product Intel Software Guard Extensions (SGX)) in the blockchain system and its reliable execution environment to optimize verifiable queries. The models performed well for Internet innovation workers from different backgrounds.
Application of Deep Learning for the Classification of Drowning Incidents

Drowning has consistently garnered extensive attention for public safety. In recent years, with the advancements in deep learning and computer vision, methods using image and video data have been developed to recognize and monitor drowning incidents. Individuals in drowning situations are often incapable of emitting audible distress calls or displaying vigorous struggle. Thus, we used deep learning methodologies to assess definitive drowning incidents. Given the scarcity of publicly available drowning datasets, we investigated drowning behaviors for data collection and simulated drowning scenarios. When image analysis results indicated the likelihood of drowning-related incidents, notifications were dispatched to on-site lifeguards for the final judgment and rescue. By detecting and recognizing drowning behaviors, victims of drowning can be saved.
Design of Variable Polynomial Graph Filter Using Fractional-Order Graph Laplacian Matrix

A polynomial graph filter is one of the widely used systems for processing irregular data collected from various complex networks. To increase the flexibility of the conventional constant graph filter in use which has a fixed spectral response, a more general type of graph filter called variable graph filter (VGF) was used in this study. Three steps used in the proposed VGF design method include the following. (1) The constant prototype graph filter in which a basic building matrix is chosen as the scaled graph Laplacian matrix (SGLM) is designed by the Lp-norm minimization method. (2) The SGLM of a prototype filter is replaced by the fractional-order SGLM such that the cut-off frequency of the filter is adjusted by changing the value of the fractional order. The spectral mapping relation between the original and mapped frequency is derived. (3) An implementation structure of VGF is provided by using direct-form realization. The fractional order in the structure is adjusted without redesigning the graph filter. Finally, the denoising application of the sensor network was used to determine the optimal fractional order value for obtaining the best signal-to-noise ratio (SNR) and demonstrate the effectiveness of the designed VGF,
Parents' Investment in English Language Schooling: A Study at SMP Alam Lubuklinggau

This qualitative study investigates the motivations of parents choosing English language education for their children at SMP Alam Lubuklinggau, a school increasingly integrating English into its curriculum. Focusing on 34 independent parents, who enrolled their children without expecting tangible incentives such as tuition fee reductions or housing provisions, the study explores the rationale behind these educational choices. Data were gathered through a combination of observations and one-to-one semi-standardized interviews, offering in-depth insights into parental perspectives. Thematic analysis was employed to interpret the findings, highlighting the parents’ emphasis on language acquisition, particularly in enhancing their children's English proficiency. The results demonstrate that parents predominantly view the enrollment at SMP Alam Lubuklinggau as an investment in their children's future language skills. This investment decision was found to be significantly influenced by the parents' unique characteristics, social roles, affiliations, and financial standing. The study concludes that the primary driving force behind these educational decisions is the desire to equip children with essential language skills in an increasingly globalized world, rather than short-term benefits or financial incentives