Reviewerly/exHarmony huggingface dataset:
Sulfidation And Gold Precipitation In The Jugan Gold Deposit In Bau, Sarawak, East Malaysia: Insights From Correlation Plots And Factor Analysis

The Jugan Gold Deposit (JGD) is part of the Bau Mineral District (BMD) in Bau, Sarawak, East Malaysia. Although the mineral district is well studied, limited studies were conducted on the JGD. This paper presents the results of statistical studies using the multi-element geochemical data emphasizing the trace elements association with gold, alteration-mineralization, and the precipitation mechanism of the gold-bearing sulfide minerals. The correlation matrix displays positive correlation associations, particularly those associated with gold mineralization, i.e., arsenic, sulfur, antimony, and bismuth. Factor analysis grouped the trace elements into eight factors that reflect lithologies, mineralization, alteration, and geological processes in the JGD. Elements comprising the gold mineralization assemblage have the most significant factor (Factor 1) with the highest variance. The mineral assemblage was enriched during the alteration-mineralization process, as confirmed by the isocon plot. The barren samples (&lt;0.01g/t) and gold-bearing samples (&gt;0.2 g/t) plotted in a Fe vs. S diagram indicate that sulfidation is the precipitation mechanism of gold-bearing sulfide minerals. The immobility of iron and the vertical trajectory trend in the Fe vs. S diagram suggest that the possible source of Fe for gold-bearing sulfide minerals is the sedimentary host rock. Collectively, characteristics such as (1) the association of gold-bearing sulfide minerals with carbonate mineral assemblage and (2) high bismuth loadings on the main mineralization stage suggest a distinct geochemical characteristic of JGD relative to both Carlin-type deposits (CTD) and Carlin-like deposits (CLD); hence it is inferred to be a sedimentary-hosted gold deposit (SHGD). Establishing the JGD characteristics will contribute to a better understanding of the deposit and the BMD. Exploration-wise, it will assist future exploration work in delineating Au mineralization zones.
China's investment in digital technologies and the Digital Great Game

Software systems that can improvise and adapt to new environments or generalise and apply knowledge to different scenarios. Examples include systems that can understand human speech and act as virtual assistants, compete with humans in complex games such as chess or Go, operate machinery autonomously, translate between human languages, or handle financial investments. Blockchain and AI are merely the latest iterations, as is the ‘Internet of Things’, where household appliances, roads, cars and cities are enabled by digital technology to become ‘smart’. Use of the properties of quantum physics to store data and perform computations. Rather than using binary bits, quantum computers employ quantum bits (qubits) using physical systems such as the spin of an electron or the orientation of a photon. A network of internet servers dedicated to the storage, management and processing of data as a single digital ecosystem, rather than by local servers or personal computers.
Legal dimensions of blockchain technology

All technologies need not be a concern of law; however, the chances of them becoming an act of law owing to the contractual arrangements between the subjects or the utilization of technology interfering with something covering within the aspect of act of law makes them a concern of law. The failure of the exercise of extending the existing legal mandates for the purpose of utilizing for containing or controlling technological nuances owing to total detachment between the existing legal structure and the developed technology compels for the creation of new laws. Various types of technologies have compelled the creation of new laws for the legal control of the same. The evolution of blockchain also belongs to the said category. The idea of blockchain in its bare minimum itself is creating challenges to the present existing legal structure. The idea of blockchain itself is relying on cryptographic techniques. The control of cryptography itself has become a big concern of law. Thus, the basic technology of blockchain itself is precipitating a concern. The blockchain in its practical application is further creating issues in the legal realms of privacy, data protection, taxation, jurisdiction, property laws, and contractual relationships significantly. The idea of blockchain itself envelopes within it information on the transaction as well as the creators who add to the block. Based on the same, the law shall examine the extent of the challenges on privacy. Coming to the ambit of data protection, the absence of clear-cut demarcation between this concept of data controller and data processors itself makes it a challenge for existing laws. The contributors of blockchain are distributed across geographical boundaries and are thus a fertile ground for jurisdictional issues, choice of laws, and conflicts of laws. The manifestation of blockchain in the form of crypto assets and identifying that as a property stand vindicated and accepted at multiple levels. This questions the notion, the concept of property, and its legal control. The blockchain-induced contract formations, even to the extent of automated processes, are another legal challenge. The above narrative is on the major legal concerns identified in the use of blockchain technology. The chapter explores the various aspects of legal concerns created by blockchain technology and its utilization.
Blockchain – Foundational infrastructure for Web 3.0 and cryptoassets

Clinical blockchain and distributed ledger technologies (DLTs) are the preferred technology used to deliver cryptoassets of multiple forms and functions for various applications. DLT is based on a decentralized database managed by various servers across participants and computing nodes. Transactions are recorded with an immutable hash generated from a cryptographic signature, then grouped in blocks with append-only mode and formed a secure chain of blocks by including the previous block’s hash. This DLT technology eliminates costly reconciliation settlements and automates business processes, lowering business costs and opening new business opportunities. Web 3.0 is a forward step toward a new version of the decentralized Internet based on blockchain as infrastructure. Web 3.0 is a permission-less protocol where no central intermediary controls which party gets access to what services, nor do they facilitate transactions among parties in the network; thus, it technically manages user privacy better. Web 3.0 apps, also called decentralized apps (dApps), are built over blockchain or decentralized networks of peer-to-peer nodes. These apps utilize assets created using cryptographic techniques to perform business or trade in the platform as delivery versus payment. Decentralized finance (DeFi) leverages Web 3.0 to execute different types of financial transactions on the blockchain using cryptoassets. All major DeFi protocol supports various types of tokens like utility tokens, payment tokens, asset-backed tokens, and others. Due to this framework, the traditional CEFI (centralized finance) can offer a broad range of products in DeFi with the objective of enabling peer-to-peer or machine-based algorithms that drive governances and operations. Although blockchain and DLTs are closely related to cryptoassets and the crypto economy, they are not tightly coupled. Beyond digital assets, blockchain and DLTs are now being applied to wide-ranging use cases by several sectors in the traditional economy. To support this, several blockchain and DLT platforms have been purposely developed and designed to help and deliver applications that are compliant with regulation and legal frameworks.
Mass surveillance in the age of COVID-19

Epidemiological surveillance programs such as digital contact tracing have been touted as a silver bullet that will free the American public from the strictures of social distancing, enabling a return to school, work, and socializing. This Article assesses whether and under what circumstances the United States ought to embrace such programs. Part I analyzes the constitutionality of programs like digital contact tracing, arguing that the Fourth Amendment's protection against unreasonable searches and seizures may well regulate the use of location data for epidemiological purposes, but that the legislative and executive branches have significant latitude to develop these programs within the broad constraints of the "special needs" doctrine elaborated by the courts in parallel circumstances. Part II cautions that the absence of a firm warrant requirement for digital contact tracing should not serve as a green light for unregulated and mass digital location tracking. In light of substantial risks to privacy, policy makers must ask hard questions about efficacy and the comparative advantages of location tracking versus more traditional means of controlling epidemic contagions, take seriously threats to privacy, tailor programs parsimoniously, establish clear metrics for determining success, and set clear plans for decommissioning surveillance programs.
Photovoltaic power combination prediction system based on improved multi‐objective optimization algorithm and nonlinear weighting strategy

Abstract The large‐scale connection of photovoltaic ( PV ) power generation to the power grid introduces considerable challenges to the grid's stable operation. To ensure grid stability, the key is to improve the accuracy of PV power prediction. Currently, PV power prediction is primarily dependent on single‐model construction, which ignores the role of data processing technologies, thus resulting in inadequate prediction performance. Accordingly, in this study, a combined prediction system is developed by integrating advanced deep learning algorithms and data processing techniques to improve the accuracy of PV power prediction. In addition, a nonlinear weighting strategy based on an improved multi‐objective dragonfly optimization algorithm ( IMODA ) is proposed to determine the final prediction result. In the IMODA , cloud model generator, tent mapping, and Pareto solution selection strategy based on knee points are introduced to resolve the defects of the original algorithm. The performance of the proposed combined system was scientifically evaluated and analysed by considering the PV power datasets of four seasons in Belgium as an example. The mean absolute percentage errors of the proposed system on the four datasets are 4.0198, 4.7943, 4.3587, and 5.9286. These values indicate an improvement range of 5%–30% compared with the errors of other benchmark models.
Expering Pansori Application Scheme in Chinese Korean Language Curriculum: Take the ｢Jeok Byuk Ga｣

Purpose: Considering that there is no content on pansori in the textbook of Korean, this study examined the method of teaching the pansori Jeok Byuk Ga in the Korean language subject in China. Methods: After clarifying the scope of ｢Jeok Byuk Ga｣ that was suitable for education, and the learning that was appropriate according to the contents, such as ‘learning about contents’ by introducing classes, ‘learning about genres’ for acquiring genre knowledge, and ‘in-depth learning’ for thinking more deeply an activity was designed. Results: In ‘learning about content’, the research revealed that teachers can proceed through an entertainment activity called ‘playing with love’, and learning about a genre can be taught by comparing it with the genre of novels that students have already learned. In the ‘deep learning’ stage, activities can be conducted on diverse topics, such as thoughts on transformation, and a comparison of novels and pansori for learning ｢Jeok Byuk Ga｣. Conclusion: When teaching pansori students can learn more than ｢Jeok Byuk Ga｣in the Korean language course, as there are many other learning activities besides those noted in this research. However, since ｢Jeok Byuk Ga｣is an important work noting the change of pansori, it is possible to have an opportunity to discuss the common ways of enjoying literature such as genre change, and learning ｢Jeok Byuk Ga｣is would be to learners.
Ecological Transformation Value and Application Direction in the Ideas of Gugak Education

Purpose: The purpose of this study was to understand the ecological transformation value contained in the ideas of Gugak education and to seek the direction of Gugak education in order to foster ecological sensitivity. Methods: First, a-literature review was conducted focusing on previous studies in the field of music and music education related to ecological transformation education. Second, the relationship between ecological transformation education and Gugak was revealed, and implications for Gugak education were identified. Third, the direction of Gugak education to cultivate ecological sensitivity was sought. Results: Three findings were sought as the direction of Gugak education to foster ecological sensitivity. First, in understanding ecological space, genre painting was utilized to learn how to use human life and ecological space in harmony with nature. Second, in experiencing the life of the ecological community, students learned how to coexist with nature by experiencing repeated customs every year, such as seasonal customs, other customs, rituals, plays, food, and songs. Third, in the expression of the sound of nature, the activities of singing and playing musical instruments, which can be called bowls containing nature as it is, were utilized for students to fully feel nature and accept ecological life. Conclusion: Gugak education plays a role in naturally recognizing the ecological transformation value contained in Gugak. Listening to Gugak based on these ideas, cultivated a willingness to participate in ecological transformation, and laid the foundation for further practice. In order for this to be properly implemented, it is necessary to devise and apply teaching and learning plans in consideration of the connection between research on content and related music at the school level. Therefore, in the 2022 revised music curriculum, it is hoped that Korean traditional music education will be provided to develop ecological sensitivity that is actually helpful at elementary and secondary schools.
Effects of Scoring Features on the Accuracy of the Automated Scoring Model of English

Purpose: This study attempted to compare the performance of an automated scoring model based on scoring features and three other automated scoring models that do not use the scoring feature. Methods: The data used in this study were 300 essays written by native English speakers in the tenth grade, which were divided into training and validating data at a ratio of 7:3. The RF model was used to predict the scores of the essays based on the analysis of 106 linguistic features extracted from Coh-Metrix. The accuracy of this model was compared to that of three deep learning models― RNN, LSTM, and GRU―which do not use those scoring features. Lastly, in the case of the RF model, scoring features mainly affecting accuracy prediction were further analyzed. Results: RNN which is a type of deep learning had an agreement with human scoring results ranging from .39 to .69 (mean=.58) in each rating domain, while LSTM showed an agreement between .59 and .72 (mean=.64), and GRU’s agreement was between .59 and .72 (mean=.64). However, when using the RF model based on the scoring features, its average accuracy was between .60 to .76 (mean=.69), which is the highest agreement among the four models. In the case of the RF model, ‘word count,’ ‘sentence count,’ and ‘vocabulary density’ were common characteristics across all scoring domains, but several scoring features reflecting the characteristics of each scoring domain were also found. Conclusion: When large-scale data is not available, the RF model showed relatively high automated scoring performance, and the RF model that provides learners with pedagogical feedback based on scoring features would be more useful compared to the other three automated scoring models in terms of the utilization of the automated scoring result.
Multidimensional IPA Analysis of the Innovation School Policy

Purpose: The purpose of this study was to evaluate the Innovation School policy that has spread nationwide since 2009 through Cooper’s multidimensional policy analysis method. Based on this, the future direction of the Innovation School was discussed. Methods: A survey was conducted on elementary, middle, and high school teachers’ perceptions in area A, which has been operating the Innovation School since 2015. By applying a four-dimensional model as a tool for evaluating policy, the Innovation School policy was divided into normative-dimension, structural-dimension, constituentive-dimension, and technical-dimension domains. Based on this, the importance-performance analysis (IPA) was performed. Results: As a result of the study, democratic management was recognized as the most urgent and intensive factor to be supplemented. In addition, the importance and performance were rated the lowest for connection with the local community. In addition, the participation and role of staff and parents in the management of the Innovation School were found to be insignificant. And teachers’ perceptions pointed out the ambiguity of the roles of school supervisors and demanded that the meaningless evaluation be avoided. Conclusion: Teachers' perceptions can be perceived as a threat to the sustainability of the Innovation School. The local community and several school members were excluded from the Innovation School policy which was aimed at the broader school community. The question of democracy was also being raised, and this area can be evaluated as requiring another innovation.
A Study on the Policy Plan for Operating the System of Regional Public Basic Education Teacher for Students with Borderline Inteligence

The purpose of this study is to draw up a policy plan for operating the system of regional public talents(basic education teachers) who will take charge of education for persons with borderline intelligence as a public sphere. Methodological perspective of this study is that local government cultivate, employ, manage the regional talents necessary to region itself, and so institutionalize to serve their own region. The basic education teachers are public education talents, who regard themselves as educational volunteers and are cultivated through the training course based on special education run by regional universities and the related institutions. We design that public education talents can acquire qualification of regular or assistant teacher, and then local Ministry of Education select and employ some of them. Up to recently, education for persons with borderline intelligence was a sphere that has been lack of national and social interests. Now, Ministry of Education and local government should pay close attention to the sphere as a public one, and deal with positive policies.
Academic Research Trends on College Education After the COVID-19 Pandemic

The purpose of this study is to comprehensively examine the trends of academic research on college education after the COVID-19 Pandemic and to suggest implications for the post-COVID era. To achieve this purpose, articles searched for as keywords ‘COVID-19’, ‘university education’, and ‘university’ were set as research subjects. A total of 197 articles published in the Korea Citation Index (KCI) journals from January 2020 to September 2022 were selected, and network text analysis was performed on research keywords. As a result of the study, academic research related to college education in the context of COVID-19 was mainly conducted with the main keywords of ‘college student’, ‘remote class’, ‘non-face-to-face’, ‘stress’, and ‘college life adaptation’. The study found that four clusters were derived as grouping keywords with high conceptual relationships: 1) research related to student experience of college life, 2) research related to psychological and emotional changes of students, 3) research related to adaptation to college life, and 4) research related to distance learning in non-face-to-face situations. Based on the findings, theoretical and practical implications for the development of college education in the post-COVID era are presented.
Analyzing the Relationship between Career Interest Type and Academic Performance among College Students

The purpose of this study was to investigate the relationship between career interest types and academic performance of college students. First, as a result of analyzing the difference between male and female college students for each type, career interest types were different according to gender. And distribution orders of each career interest type within the two groups showed significant differences. In the male student group: investigative type was the highest, social type was the second highest, and artistic type was the lowest. On the other hand, unlike male students, in the female student group: social type was the highest, artistic type was the next and investigative type was the lowest. According to the analysis of gender differences in career interest type scores, there were significant differences in all five types except for investigative type. Male students were higher than female just in realistic type and female students had significantly higher scores in realistic type, artistic type, social type, enterprising type and conventional type. As a result of analyzing the differences in academic performance according to the career interest type, it was found that artistic type students in the entire college student group and male student group showed significantly lower academic performance than other types in calculus, so special guidance measures and teaching methods are needed to improve their learning abilities.
The Effects of Teachers' Digital Literacy and Transformational Leadership of School Principals on Teachers’ Innovative Teaching Behavior with ICT Mediated by Teacher Engagement

Purpose: The purpose of this study was to verify the factors affecting teachers' innovative behavior with ICT in the Covid-19 situation, and to provide theoretical and practical implications of teachers' innovative behavior using ICT such as online education. Methods: For this purpose, the structural relationship between teachers' digital literacy, school principal's transformational leadership, teacher engagement, and teachers' innovative behavior with ICT was verified. Data collected from 639 elementary, middle and high school teachers nationwide were analyzed by applying the structural equation model. Results: First, digital literacy and the teacher engagement of teachers had a direct and significant effect on innovative behavior with ICT, but the principal's transformational leadership did not have a significant effect on innovative behavior with ICT. Second, the teacher's digital literacy and the principal's transformational leadership had a direct and significant effect on teacher engagement. Third, as a result of verification of the mediating effect of teacher engagement, it was verified that teacher engagement had a mediating effect in the relationship between the digital literacy of teachers and innovative behavior with ICT, and the transformational leadership of the principal and innovative behavior with ICT. In particular, in the relationship between the principal's transformational leadership and innovative behavior with ICT, teacher engagement had a full mediating effect. Conclusion: Teachers' digital literacy and principal's transformative leadership were confirmed to possess direct and indirect factors affecting teachers' innovative behavior with ICT. Teacher engagement plays an important role in the relationship between relevant factors and teachers' innovative behavior with ICT, and it is necessary to consider ways to enhance teacher engagement in order to improve teachers' innovative behavior with ICT.