Reviewerly/exHarmony huggingface dataset:
Cryptocurrency in the Light of Sentiments : A Bibliometric Approach

Purpose : Cryptocurrency has drawn interest from academia and business, particularly amid notable spikes in the price of Bitcoin. The presence of cryptocurrencies and their technology-focused investments are intimately related to investor behavior. Due to its unpredictability, mood has a greater impact on Bitcoin investing than technical factors. The purpose of this study was to perform a bibliometric review in this field. Methodology : Using VOSviewer software, this article attempted to do a bibliometric study of papers on sentiments and cryptocurrencies included in the Scopus database. The study complied with the PRISMA framework, which is the recommended practice for systematic reviews. Findings : The findings showed that this field is seeing a massive increase in research activity. A total of 483 distinct authors wrote 151 articles. Studies that examined changes in the Bitcoin industry have received the attention they deserve in finance publications. Three connected clusters were discovered by co-citation analysis, indicating that studies are looking at how cryptocurrencies work as financial market investments using social media sentiments. Practical Implications : The study on cryptocurrency sentiments offered valuable insights for investors, policymakers, and the market. It informed decision-making on investments, risk management, and regulations, providing a foundation for practical tools in the dynamic cryptocurrency market. These insights will contribute to a resilient and sustainable ecosystem, guiding public awareness for responsible cryptocurrency use. Originality : To the best of our knowledge, this work is the first in this developing field to do a bibliometric literature evaluation on Scopus articles.
Increasing student engagement through digital branding in higher education marketing

As a result of the employment of social media, interpersonal contact and user involvement are made possible, which results in the modification of traditional hierarchical communication techniques and the introduction of an unexpected component into the decision-making process of customers. Even though it is considered to be a component of internet marketing, social media marketing is a crucial component for individuals and businesses that need to retain their competitiveness. On the other hand, the success of social media marketing is dependent on the presence of innovative items, the responsiveness of organizations to the market, and the construction of powerful online platforms. Twitter, Instagram, and Facebook are just some of the social networking sites that have evolved into indispensable tools for marketers. Since they enable interactive contact, these platforms are of tremendous value when it comes to the marketing of companies and services. Websites that facilitate social networking play an important part in the spread of information about educational institutions of higher learning. These websites also serve as effective means for recruiting prospective students. It has not yet been determined whether or not the content that is broadcast on these internet platforms has an effect on the cognitive processes that prospective students use when making choices about their education. The acknowledgment of user interaction on social media platforms is the most important non-financial benefit that organizations may get from their use of these platforms. When we have a thorough awareness of user interaction across a variety of platforms, we may have a better grasp of the influence that it has on how people perceive businesses. Instagram has become a significant medium for educational institutions of higher learning due to its visual-centric qualities, as well as its heightened engagement rates among a varied, youthful, and multinational community. This article places a strong emphasis on the relevance of brand equity within the context of the marketing strategy used by educational institutions of higher learning. When it comes to the idea of brand equity, there are several elements that may have an impact on it. Some of these characteristics include, but are not limited to, the personality of the brand, social credibility, and market position. It is quite necessary for educational institutions to make certain that they provide excellent services and facilities to their students. Nevertheless, the construction of a communication system that is both competent and effective is equally important for the purpose of boosting the positioning of the university's brand and effectively managing the value of its brand. The concept of "brand soul" serves as the basis for this, and it refers to the way the teachers and staff of the educational institution become the embodiment of the brand.
Prospects of re-signifying life through the methods of the realistic theater of Constantin Stanislavski and Ivana Chubbuck

Acting is a complex and difficult to define art. It's easy to distinguish between good acting and bad acting. Being able to be captivating in a job while someone else, playing the same role and saying the same words, could be better or worse? If this depended solely on the script, on the beauty of the language, on a skillful construction of the sentence, we would just need to read it. But it's a matter of interpretation.
Detecting Similarity of Program Code Using an Aggregated Approach to the Problem of Plagiarism Detection

In this work, the primary strategies employed for code plagiarism were explored, alongside an analysis of prevalent methods for detecting copied content. Based on the results of the analysis of various approaches, as well as the analysis of the subject area itself and on the basis of the formulated requirements, a new System for automatically checking software similarity for plagiarism was successfully designed, implemented and tested. When developing the System, an aggregated approach was used, which made it possible to use several basic similarity detection algorithms. Namely, the Greedy Row Tiling algorithm and the Sifting algorithm. Since the System is designed for programmers, in particular, for teachers, and also with the possibility of local launch, it is proposed to perform user interaction with the System in the form of a command line interface. The System is implemented in Python, which ensures that the suggested System is platform independent. Regular expressions are used to implement preprocessing and exclusion functions, and the libclang library is used for С++ code parsing and tokenization functions. Promising applications for the developed System include education and programming competitions. So universities and colleges can use the System to check code written by students to detect plagiarism. And in competitive environments such as hackathons or programming competitions, the System can be used to ensure fairness and prevent plagiarism among participants.
Estimating total organic carbon of potential source rocks in the Espírito Santo Basin, SE Brazil, using XGBoost

Identifying and constraining source rocks is critical for petroleum system modeling and risk assessment. Traditional methods for total organic carbon (TOC) estimation based on well logs have limitations, leading to the emergence of machine learning techniques like XGBoost. This study compiled a comprehensive data set of well log and geochemical data from the Espírito Santo Basin, SE Brazil, and XGBoost, which was integrated with pySpark, was used for running multiple machine learning models to predict TOC. Parameter tuning was performed by randomly combining model configurations over multiple replication data frames. XGBoost effectively predicted TOC, yielding a coefficient of determination R2 of 0.71, RMSE of 0.55 and MAE of 0.30, based on the average of all 10-fold cross-validation test sets. Heteroscedasticity was observed, possibly related to the presence of outliers in the target TOC variable, which may be linked to variable organic-matter deposition and preservation processes through the geological time, such as during Oceanic Anoxic Events (OAEs). The results indicate the potential of machine learning for TOC prediction in large, heterogeneous data sets, outperforming the traditional ΔlogR method and offering a promising tool for the usage of available public data sets in similar applications, such as the oil and gas (O&G) industry's exploration phase or field reassessment.
Implementing Cognitive Semantics of Autoepistemic Membership Statements: The Case of Categories with Prototypes

This article presents a model of an architecture of an artificial cognitive agent that performs the function of generating autoepistemic membership statements used to communicate beliefs about the belonging of an observed external object to a category with a prototype. The meaning of statements is described within the model by means of cognitive semantics. The presented proposal builds upon a pre-existing architecture and a semantic model designed for a simpler case of categories without a prototype. The main conclusion is that it is possible to develop an interactive cognitive agent capable of learning about categories with prototypes and producing autoepistemic membership statements fulfilling requirements of Rosch’s standard version of prototype semantics and satisfying pragmatic and logical rules for generating equivalents of these statements in natural languages. Detailed results include the following: an original proposal for an agent’s architecture, a model of an agent’s strategy of learning categories with a prototype, a scheme for determining the computational complexity of particular implementations of the learning strategy, definitions of cognitive semantics for particular cases of autoepistemic membership statements, and an analytical verification of properties of the proposed cognitive semantics. Finally, this article discusses the directions of further development and potential variants of the proposed architecture.
Geogas prospecting for igneous ore deposits covered by regolith: The Zijinshan high-sulfidation epithermal Cu-Au deposit in the Cathaysia Block

The mining industry faces a challenge due to the scarcity of outcrop or near-surface mineral deposits, necessitating the development of low-cost and efficient prospecting methods to explore through cover. Inductively coupled plasma mass spectrometry (ICP-MS) has been applied to geological sample analysis, and scientists have gradually improved the method of geogas prospecting. As a result, geogas prospecting has shown promising results in detecting underlying concealed Au, U, and Cu-Ni deposits covered by Gobi sand and Quaternary sediments.To verify the effectiveness of this method for exploring underlying concealed mineral deposits developed in igneous covered areas, the Zijinshan high-sulfidation epithermal (HSE) Cu-Au deposit, a concealed mineral deposit in southeastern China, was selected as the experimental field. Our experiments revealed nanoscale particles composed of Au, Cu-Fe, and Cu-other elements in the geogas captured above the ore bodies of the deposit. Furthermore, Cu-nanoscale particles retain the isotopic composition of copper found in both the oxidation zone and deep copper ores. The geogas samples exhibited similar C1-chondrite normalized rare earth element (REE) distributions, with REE patterns indicating significant enrichment of LREE relative to HREE and similar (La)N/(Sm)N and (Gd)N/(Yb)N ratios. These characteristics are similar to those of the gold ores, copper ores, altered rock, and bedrock near the ore bodies. These findings suggest that deep-penetration geochemical methods using geogas can be a valuable tool for uncovering underlying concealed mineral deposits in igneous covered areas.
Supplemental Material: Lithospheric mantle as a metal storage reservoir for orogenic gold deposits in active continental margins: Evidence from Hg isotopes

&lt;p&gt;Geology of the Jiaodong gold province, analytical methods, supplementary notes, Figure S1, and Tables S1–S2. &lt;/p&gt;
Strategies for Enhancing the Practical and Innovative Abilities of Environmental Major Students

In order to meet the quality requirements of applied talent cultivation in local universities and enhance students' innovation ability, this study which take the environmental major students of Zhaoqing University as an example, explores the role of the “industry-university-research-application” platform, college student innovation and entrepreneurship training programs and various subject competitions in talent cultivation. It is benefit to encourage students to complete self practice ability cultivation through school enterprise platforms, training programs, and competitions. This study provide reference for improving the abilities of environmental majors in similar universities.
Digital Teaching Competence and Educational Inclusion in Higher Education. A Systematic Review

This article presents a systematic review of the literature with the aim of providing an updated framework for the scientific production developed in the field of digital competence and inclusive education in Higher Education, as indexed in the Web of Science (WoS) and SCOPUS databases. Twenty-one scientific articles published between 2016-2023 were included and analyzed, with no temporal cohort established. The search matches yielded a first document of the topic of study in 2016 in the Social Sciences Citation Index. The results obtained on the conceptual structure of the analyzed documents were carried out through a multiple correspondence analysis (MCA) observing the existence of two dimensions composed of three clusters. Cluster one was composed of studies on digital competence, virtual learning environments, digital divide, and functional diversity, among others. Cluster two comprised studies carried out on digital tools and competencies, inclusive education, educational processes, and digital strategies; while cluster three was made up of educational inclusion related to interculturality and digital competence. Among its limitations, there were aspects related to the heterogeneity of the studies, which make it difficult to compare the data, and the sample and size of the study, which makes the results obtained and the generated data have a lower percentage of generalization compare to studies that use larger simples. This study has implications for researchers and Higher Education institutions interested in research on digital competence for inclusive education, with the possibilities of digital competence for inclusive education being established from the studied variables, allowing teachers to adapt and personalize learning to meet individual student needs. All of this is in line with the goals of the 2030 Agenda, concerning the empowerment of citizens and the digitization of public services to ensure the population's access to such services via the internet.
An Improved Public Key Cryptographic Algorithm Based on Chebyshev Polynomials and RSA

Due to its very desirable properties, Chebyshev polynomials are often used in the design of public key cryptographic systems. This paper discretizes the Chebyshev mapping, generalizes the properties of Chebyshev polynomials, and proposes an improved public key encryption algorithm based on Chebyshev chaotic mapping and RSA, i.e., CRPKC−Ki. This algorithm introduces alternative multiplication coefficients Ki, the selection of which is determined by the size of TrTdxmodN=TdTrxmodN, and the specific value selection rules are shared secrets among participants, overcoming the shortcomings of previous schemes. In the key generation and encryption/decryption stages, more complex intermediate processes are used to achieve higher algorithm complexity, making the algorithm more robust against ordinary attacks. The algorithm is also compared with other RSA-based algorithms to demonstrate its effectiveness in terms of performance and security.
Quadripartite quantum steering generated by single-pass cascaded nonlinear processes

Abstract Quantum steering has become an important resource for quantum information due to its unique asymmetry. In this paper, quadripartite quantum steering generated by single-pass non-degenerate optical parametric amplification cascaded with a sum-frequency process is investigated. Firstly, idler beam is produced by different-frequency process between pump and signal. Secondly, sum-frequency beam is generated by cascaded sum-frequency process between idler and pump in the same optical superlattice. Quadripartite quantum steering among pump, signal, idler and sum-frequency beams id demonstrated based on the criterion for multipartite quantum steering. The influences of nonlinear coupling coefficients $\kappa$, dimensionless propagation length $\xi$, and the initial values of pump and signal on the variation characteristic of the quadripartite steering are also investigated. The results indicate that slightly larger nonlinear coupling coefficients of cascaded nonlinear processes and weaker signals can achieve better quadripartite quantum steering. This simple quadripartite quantum steering preparation scheme does not require a resonant cavity and is easier to implement experimentally, with potential applications in quantum communication and computing.
Entanglement and Replica Symmetry Breaking in a Driven-Dissipative Quantum Spin Glass

We describe simulations of the quantum dynamics of a confocal cavity QED system that realizes an intrinsically driven-dissipative spin glass. A close connection between open quantum dynamics and replica symmetry breaking is established, in which individual quantum trajectories are the replicas. We observe that entanglement plays an important role in the emergence of replica symmetry breaking in a fully connected, frustrated spin network of up to 15 spin-1/2 particles. Quantum trajectories of entangled spins reach steady-state spin configurations of lower energy than that of semiclassical trajectories. Cavity emission allows monitoring of the continuous stochastic evolution of spin configurations, while backaction from this projects entangled states into states of broken Ising and replica symmetry. The emergence of spin glass order manifests itself through the simultaneous absence of magnetization and the presence of nontrivial spin overlap density distributions among replicas. Moreover, these overlaps reveal incipient ultrametric order, in line with the Parisi replica symmetry breaking solution for the Sherrington-Kirkpatrick model. A nonthermal Parisi order parameter distribution, however, highlights the driven-dissipative nature of this quantum optical spin glass. This practicable system could serve as a test bed for exploring how quantum effects enrich the physics of spin glasses.4 MoreReceived 21 July 2023Revised 19 November 2023Accepted 10 January 2024DOI:https://doi.org/10.1103/PhysRevX.14.011026Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.Published by the American Physical SocietyPhysics Subject Headings (PhySH)Research AreasAtoms, ions, & molecules in cavitiesCavity quantum electrodynamicsDissipative dynamicsPhysical SystemsSpin glassesTechniquesCavity resonatorsAtomic, Molecular & OpticalQuantum Information, Science & TechnologyStatistical Physics & ThermodynamicsCondensed Matter, Materials & Applied Physics
Philosophy of future: analytical overview of interaction between education, science, and artificial intelligence in the context of contemporary challenges

Currently, artificial intelligence is changing the future landscape of technology and digitalization and transforming the way knowledge is generated and shared in education and science. The aim of the article is to interpret the future through interactions between education, science, and AI and to outline their potential challenges when digital transformations occur. While answering the research questions the mixed-methods approach was applied. For the study both quantitative and qualitative data was collected through descriptive and empirical survey. The empirical survey included computer-assisted web interview to assess the most relevant concepts according to the participants responses. The study involved 42 participants that were selected randomly. The selection criteria concerned educational background, previous experience, representation of diverse perspectives, theories, or approaches within the philosophy, active engagement in educational practice, and wiliness to participate. To analyse the data statistical software NVivo was applied. Approximately 70 recent scientific works were studied to present the problem through multifaceted approach. The findings show the participants’ anticipations are related to the cognitive load theory, constructivist theory, and socio-cultural theory. A number of challenges threatening innovative developments arise within the educational and scientific environments. They include ethical concerns, misinformation, digital divide, unequal infrastructure, lack of regulation, lack of digital skills, resistance to change, technology integration, and limited digital pedagogy. Ethics plays a crucial role in shaping digital transformations in education and science. The category of academic virtue is closely connected to ethical and responsible use of Ai. The paradigm of academic virtue includes ethical of knowledge, collaboration, responsibility, honesty, accuracy, adaptability, openness. AI brings automated content creation, language processing opportunities, real-time translation, and enhanced accessibility and, therefore, changes communication in the field of education and science. The research showed that the principles of effective implementation of AI in education and science include philosophical, educational, and ethical dimensions.
Development of Vinzons Pilot High School Online Enrollment with Student Track Identification System

The Vinzons Pilot High School is a top secondary school in the Camarines Norte province. About 6,000 students attend VPHS every year with the number seeing a steady increase. which recruited around 200 instructors and staff members. Enrolment allows around 6000 students every year which poses a concern for the student and the employees of the school. It is for that reason that the digitizing enrolment system is among the alternatives that can help to manage the large number of participants and the data to manage. The agenda on the establishment of online enrolment system coupled with student track identification for Vinzons Pilot High School was offered as an alternative for the usual manual process, and to facilitate flow and eliminate disorganization of transactions and work. The research focuses on how hand enrolling works on the side of school transactions and students' opinions about their selective track. The enrolment procedure is time-consuming and is not so efficient as manual enrolment method is used to cover multiple transactions like the updating and adding of student data, the provision of Learner Information System reports, student sectioning, assisting students to choose a specialty among others. The study requires proper data management because the study concentrates on monitoring adherence to the restrictions and assessing the manual system. In this, the proponent obtained the necessary data that would guide the development of redesigning and automating the existing process and serving students to find the right path to their career.