Reviewerly/exHarmony huggingface dataset:
Web Services-Based Analysis of Human Resource Management Education Data for Infrastructure Development

In order to explore the intelligent algorithms that can be used in the modern design of rural green buildings, this paper conducts factor analysis based on the modern design requirements of rural green buildings, and constructs a data mining algorithm suitable for factor analysis of rural green buildings on the basis of quantitative analysis.Data mining technology uses energy consumption software to simulate and analyze the energy consumption of the building, calculate the energy consumption in the normal operation stage, and calculate the corresponding energy consumption and multiply it by the carbon emission factor of the corresponding energy to derive the carbon emissions during the operation phase.In addition, this paper combines the actual situation of rural green buildings to conduct a multifaceted architectural case analysis, and combines the actual situation to construct a system functional structure.Finally, this paper verifies the method proposed in this paper through experimental research.From the research results, it can be seen that the method proposed in this paper has a better effect.
Study of Early Diagnosis in Healthcare System of Fatal Blood Disease through Artificial Intelligence (AI)

Abstract: Artificial Intelligence proves to be of immense help when it comes to diagnosing of fatal blood-related diseases at an early stage. With the help of AI-enhanced microscopes, we are now able to scan for harmful substances and bacteria in samples of blood. AI is a trending development in science and technology to allow different machines and methodologies to understand such bacteria in the blood samples. The current research experiment is attempted to analyses the collective data from various sources available through the researches on the study of disease such as skin, pancreatic cancer, tuberculosis, diabetes, dementia and Alzheimer’s. The experimental outcome effectively reflects the early detection of above-mentioned disease through the use of Artificial Intelligence technology further expanding the zone of scientific determining of such diseases.
Unraveling the Influence of Anxiety on Language Learning: Examining its Implications for Student Behavior and Academic Performance

This study aimed to unravel the influence of anxiety on language learning and examine its implications for student behavior and academic performance. A comprehensive review of existing literature was conducted to explore the causes, manifestations, and effects of anxiety on language learners. The relationship between anxiety and student behavior in language learning contexts and its impact on academic performance was a particular focus of the investigation. A mixed-methods approach was employed, utilizing both quantitative and qualitative data collection methods. Surveys, interviews, and observations were used to gather data on anxiety levels, student behavior, and academic performance. The collected data were analyzed using appropriate statistical and qualitative analysis techniques to identify patterns, trends, and correlations. The findings of this study contribute to the existing body of knowledge on anxiety in language learning and provide valuable insights into its implications for student behavior and academic performance. By understanding the impact of anxiety, language educators and institutions can develop effective strategies to support language learners and create a more conducive learning environment. Addressing anxiety in language learning has the potential to enhance student outcomes and promote a positive language-learning experience.
Memory-Safe Elimination of Side Channels

In this project, we find a new service for partial control-flow linearization (PCFL), a code transformation initially conceived to maximize work performed in vectorized programs. We show that PCFL can be employed as a defense mechanism against timing attacks. This transformation is sound: given an instance of its public inputs, the partially linearized program always runs the same sequence of instructions, regardless of secret inputs. Incidentally, if the original program is publicly safe, then accesses to the data cache will be data oblivious in the transformed code. The transformation is optimal: every branch that depends on some secret data is linearized; no branch that depends on only public data is linearized. Therefore, the transformation preserves loops that depend exclusively on public information. If every branch that leaves a loop depends on secret data, then the transformed program will not terminate. Our transformation extends previous work in non-trivial ways. It handles C constructs such as “break”, “switch” and “continue”, which are absent in the FaCT domain-specific language (2018). Like Constantine (2021), our code transformation ensures operation invariance, but without requiring profiling information. Additionally, in contrast to SC-Eliminator (2018), our implementation handles programs containing general, unbounded loops.
‘Life World’ on Ledger: A ‘Scenic’ View

This paper explores the sociological and cultural implications of blockchain technology, specifically focusing on three prominent blockchain ecosystems: Bitcoin, Ethereum, and Algorand. The study utilizes the concept of the lifeworld, which encompasses collective human perceptions and everyday communicative social interaction, to analyze the formation and perpetuation of lifeworlds within these ecosystems. By employing scene theory as an analytical framework, the research identifies structural and thematic aspects of the lifeworlds represented in the discourse on Reddit and Twitter. The analysis reveals how these virtual spaces shape the unique social orderings, normative politics, and cultural identities associated with each blockchain. The study emphasizes the role of identity expression, cultural attitudes towards money, and the dynamics of boundary work within these scenes. Overall, the paper provides insights into the distinct lifeworlds and dynamics of Bitcoin, Ethereum, and Algorand, showcasing the significance of sociocultural factors in blockchain ecosystems and illustrating how a scenes lens offers insights into dynamics at the ecosystem level that may not be visible in an exploration of blockchain technology at the level of technological category.
The Effect of PjBL with Oral Corrective Feedback on Student Scientific Article Writing Skills

The purpose of this study was to determine the effectiveness of using the Project Based Learning model integrated with Oral Corrective Feedback in teaching academic writing in tertiary institutions. This form of research uses an experimental methodology and is quantitative in nature. Matching Pretest-Post-Test Control Group Design was used as the research methodology. This research data collection strategy uses tests. The test given is a performance test, in which students make scientific articles to be published in journals. The research data processing technique was SPSS 17. Based on the findings and discussion it can be concluded that the use of the PjBL model integrated with Oral Corrective Feedback is more effective than using the PjBL model alone to teach students academic writing in the field. Indonesian Language and Literature Study Program, Padang State University. The use of this model is one of the innovations in learning based on the latest curriculum by integrating innovative language learning methods in learning in tertiary institutions.
Digital competence and school leadership in Greece

The main purpose of this study is the assessment of principals in special secondary education schools for students with special educational needs digital competence (SEN) in Greece. In addition, the main goal was to highlight digital competence principals that offer in their administrative issues. In order to collect relevant to the purposes of this research data, the quantitative method based on survey and questionnaire was mainly used. The quantification was effectuated with the use of the Statistical Program SPSS suitable for descriptive and correlation analyses of collected of data. The use of descriptive statistics allows the presentation of the demographic data of the research as well as gives the trend that is resulted from the answers of the research questions that were asked. Additionally, the reference to the methods of inductive statistics was applied. These methods are focused on the possibility to rely on findings from a sample of observations. The inductive statistics evaluates the questionnaire confidence. The descriptive statistics described the main characteristics of individual variables. For these reasons, the questionnaire was distributed to a great number of principals of special secondary education schools of all regions of Greece. In consequence of Covid-19 and geographical distance, the questionnaire was effectuated online via Google forms. From the 198 principals that obtained the questionnaire, only 174 principals sent back the answer. The results demonstrated that the digital competence significantly contributes to the principals’ administrative management. The digital competence helps saving the time and reducing the volume of documents ensuring their easy access to the digital world. It is important to evaluate the principals’ digital competence and its impact on their administrative tasks in Greece in order to enrich the scientific research in Greece concerning the crucial topic and its impact on the educational community.
ENVIRONMENTAL FACTORS AND SMES’ PERFORMANCE IN OGUN STATE, NIGERIA

The effect of environmental factors has engendered a lot of debate in the existing literature. This study examines the effect of environmental factors on SMEs performance in Ogun State, Nigeria. The study is premised on the dimensions of environmental factors, which are employees, shareholders, government support and competitive pressure. Survey research design, comprising of 218 business owners in Ijebu Ode and Ago-Iwoye, Ogun State, Nigeria was employed. The F-statistics (Fc = 32.931; P = 0.000) shows that environmental factors are strong determinants of SMEs performance. The findings further revealed that shareholders (Tc = 3.041; P &lt; 0.05) and competitive pressure (Tc = -2.753; P &lt; 0.05) are the critical factors determining SMEs performance in Ogun State, Nigeria while employees and government support are also significantly related to the performance of SMEs. Hence, business owners should pay more attention to the environment factors as well as competitive pressure and shareholders since these are the most critical measures of the environmental factors determining the performance of SMEs in Ogun State, Nigeria.
A Coinductive Reformulation of Milner's Proof System for Regular Expressions Modulo Bisimilarity

Milner (1984) defined an operational semantics for regular expressions as finite-state processes. In order to axiomatize bisimilarity of regular expressions under this process semantics, he adapted Salomaa's proof system that is complete for equality of regular expressions under the language semantics. Apart from most equational axioms, Milner's system Mil inherits from Salomaa's system a non-algebraic rule for solving single fixed-point equations. Recognizing distinctive properties of the process semantics that render Salomaa's proof strategy inapplicable, Milner posed completeness of the system Mil as an open question. As a proof-theoretic approach to this problem we characterize the derivational power that the fixed-point rule adds to the purely equational part Mil$^-$ of Mil. We do so by means of a coinductive rule that permits cyclic derivations that consist of a finite process graph with empty steps that satisfies the layered loop existence and elimination property LLEE, and two of its Mil$^{-}$-provable solutions. With this rule as replacement for the fixed-point rule in Mil, we define the coinductive reformulation cMil as an extension of Mil$^{-}$. In order to show that cMil and Mil are theorem equivalent we develop effective proof transformations from Mil to cMil, and vice versa. Since it is located half-way in between bisimulations and proofs in Milner's system Mil, cMil may become a beachhead for a completeness proof of Mil. This article extends our contribution to the CALCO 2022 proceedings. Here we refine the proof transformations by framing them as eliminations of derivable and admissible rules, and we link coinductive proofs to a coalgebraic formulation of solutions of process graphs.
Infrastructure Optimizing through a Big Data Clustering Algorithm-Based Model for Universities' English Online Learning Platform

In order to explore the intelligent algorithms that can be used in the modern design of rural green buildings, this paper conducts factor analysis based on the modern design requirements of rural green buildings, and constructs a data mining algorithm suitable for factor analysis of rural green buildings on the basis of quantitative analysis.Data mining technology uses energy consumption software to simulate and analyze the energy consumption of the building, calculate the energy consumption in the normal operation stage, and calculate the corresponding energy consumption and multiply it by the carbon emission factor of the corresponding energy to derive the carbon emissions during the operation phase.In addition, this paper combines the actual situation of rural green buildings to conduct a multifaceted architectural case analysis, and combines the actual situation to construct a system functional structure.Finally, this paper verifies the method proposed in this paper through experimental research.From the research results, it can be seen that the method proposed in this paper has a better effect.
Computational Intelligence Oriented Intelligent Clustering Method for Keyword Groups in English Language

In order to explore the intelligent algorithms that can be used in the modern design of rural green buildings, this paper conducts factor analysis based on the modern design requirements of rural green buildings, and constructs a data mining algorithm suitable for factor analysis of rural green buildings on the basis of quantitative analysis.Data mining technology uses energy consumption software to simulate and analyze the energy consumption of the building, calculate the energy consumption in the normal operation stage, and calculate the corresponding energy consumption and multiply it by the carbon emission factor of the corresponding energy to derive the carbon emissions during the operation phase.In addition, this paper combines the actual situation of rural green buildings to conduct a multifaceted architectural case analysis, and combines the actual situation to construct a system functional structure.Finally, this paper verifies the method proposed in this paper through experimental research.From the research results, it can be seen that the method proposed in this paper has a better effect.
Digital approach in pedagogy and psychology of the future: trends, globalization challenges

People have been interested in the phenomenon of learning for a very long time. An impressive number of hypotheses and theories of learning have emerged along with the development of human thought and the scientific method of cognition of nature. The use of computers in education has been the subject of much research and debate. Technology has often been seen as a tool to help both teachers and students. Research in related literature has shown that we learn differently and engage in different types of knowledge creation when we use technology. The use of technology in teaching and learning has fueled the development of digital pedagogy. The SCOPUS and Web of Science databases were used to assess the problematic nature of the topic. 144 articles were analyzed, of which 20 articles related to the topic were taken for analysis. This paper analyzes trends in the digital approach to pedagogy and psychology of the future in the context of globalization. During the 2022-2023 academic year, a survey was conducted in three stages. The empirical study involved 216 teachers of pedagogical faculties from different higher education institutions of Ukraine who filled out a questionnaire through Google forms. The results of the survey have identified the main ideas of the digital approach to education, made it possible to identify the most popular digital learning tools, outline key areas in the education of the future, and determine the main trend in pedagogy in the face of globalization challenges, namely, a change in the educational paradigm that would allow digital technologies to coexist with traditional educational norms.
Product Overview Sentiment Analysis Using Lexicon Hybrid-Based Approach and Machine Learning

Various sentiment analysis methods have been proposed to obtain reviewing opinions from machine learning and vocabulary-based sentiment. In previous research using only machine learning methods, I got an unsatisfactory accuracy score because a lexical / lexicon hybrid method was used in this study. Machine learning is proposed that can improve the performance of existing sentiment analysis. With this proposal the researcher was able to obtain experimental results that showed that the classifiers that produced the best results for the game review were Hybrid Lexicon and Nave Bayes with an accuracy of 70%.
Computer-Based National Assessment Implementation Independently At Jaya 1st State Junior High School Aceh Jaya District, Indonesia

Assessment is an activity to reveal the quality of the process and learning outcomes. Implementation of competency assessment at SMP Negeri 1 Jaya in Aceh Jaya Regency independently since 2020. However, the performance of the first year, the Computer-Based National Assessment, could have run better due to network factors that made it difficult to access the central server. Whereas in 2021, there were also problems with sudden power outages and the internet network weakening, causing a failure in one of the sessions. As well as the readiness of students to answer literacy and numeracy questions which are still constrained by abilities that are still below average based on the 2022 Jaya 1 Public Middle School Education report card, the literacy ability score is 1.83, and the numeracy ability score is 1.72 respectively each of them is still at level 1. These problems become a big picture and challenge, so they become obstacles in implementing independent computer-based national assessments at SMP Negeri 1 Jaya.
The impact of marketing information systems on the competitive advantage of Jordanian pharmaceutical companies

This study aimed to identify the effect of marketing information systems on the competitive advantage of pharmaceutical companies in Jordan. The study community and its sample were represented by all the employees in the Jordanian pharmaceutical companies which consisted of (400) employees who were chosen in a simple random manner. To achieve the objective of the study, the analytical descriptive method was used. After conducting the statistical analysis, the study concluded the following: There is a statistically significant relation between internal records, marketing research, marketing intelligence and competitive advantage in Jordanian pharmaceutical companies. Based on previous findings, the study recommends the following: The Company has to rely on many sources of marketing intelligence in the recruitment centers, employees and of the competing companies. Pharmaceutical companies should follow customer services through periodic reports on customer feedback, complaints and satisfaction with service performance.
PENGEMBANGAN E-MODUL CANVA TEMA 7 SUBTEMA 2 PADA MATA PELAJARAN IPA MATERI MACAM-MACAM GAYA UNTUK SISWA KELAS IV

Canva's E-module learning can make learning more optimal because students have repeated access to learning materials that can be accessed anywhere. This study aims to determine the feasibility of e-module teaching materials on the theme 7 The Beauty of Diversity in My Country, the sub-theme The Beauty of Cultural Diversity of My Country for class IV SD. The method used in this study was research and development (Analysis, Design, Development, Implementation, Evaluation). starting with gathering information on needs, making e-module designs, expert validation, revising products, after that limited product trials and evaluations. The research results from the validation of linguists, media experts, and material experts get an overall average percentage of 93% which indicates that Canva's e-module is “Very Decent”. At the limited trial stage, the students' response to the Canva e-module "Very Good" was obtained by obtaining an overall average percentage of 86%. Based on the results of the research from expert validation and student responses, it can be concluded that the development of the Canva e-module theme 7 sub-theme 2 in the Natural Sciences subject matter of various styles for grade IV students is very feasible and well used in the learning process, interesting, interactive, and practical.
Lev Meerovich Bregman

In the paper, a brief history of life and work of celebrated Russian mathematician Lev Meerovich Bregman (the author of Bregman divergence and Bregman method) is exposed. The list of Bregman’s main publications is given.
Early childhood care and education policy intentions and the realities in rural areas

Early Childhood Development (ECD) policies are primary determinants in the provision of quality early childhood development outcomes. Healthy and safe environments play a critical role in enhancing children’s care and development. This is even more critical for children living in marginalised communities to develop foundational knowledge and thrive beyond their primary years. However, ECD practitioners in rural areas are faced with a severe lack of basic health facilities, care and learning resources. Regardless of this, education and care at these rural ECD centres are expected to continue. Young children are progressed from these inadequate ECD centres to formal schooling for enrolment in Grade R with limited foundational knowledge. The study intended to look into ECD policies and challenges faced by the under-resourced ECD centres whose mandate is to provide quality learning opportunities for young children. The research applied a qualitative approach within an interpretivist paradigm. Data were obtained through semi-structured interviews, writing field notes, observations and photographs. Three (3) education officials, two (2) ECD managers and four (4) practitioners were purposefully sampled. The study found that unregistered ECD centres in rural areas do not have the basic resources required to provide children with foundational knowledge. The findings recommend that ECD practitioners at these centres should be empowered and upskilled in the registration processes to access quality programmes, infrastructure, water and sanitation facilities. This will ensure that young children are provided with a safe and secure learning environment to enhance development opportunities.