Reviewerly/exHarmony huggingface dataset:
Hubungan antara Kemampuan Literasi Numerasi dengan Hasil Belajar Matematika Siswa Kelas Tinggi

This research is a quantitative research with a symmetrical correlational type of research which aims to determine whether there is a significant relationship between numeracy literacy skills and high grade students' mathematics learning outcomes at SDN 70 Lamurukung, Tellusiattinge District, Bone Regency. Based on the results of descriptive statistical analysis, it was obtained that the numeracy literacy ability had an average of 83.77 and a percentage of 93% in the very good category and students' mathematics learning outcomes with an average of 82.67 and a percentage of 87% in the very good category. Then from the results of inferential statistical analysis obtained t count of 5.6362 and t table with a significance of 5% of 1.66462 so that t count t table. The conclusion of this study is that there is a significant relationship between numeracy literacy skills and high grade students' mathematics learning outcomes at SDN 70 Lamurukung, Tellusiattinge District, Bone Regency
Social Capital, Firm Performance, Operating Business Environment

Globally the manufacturing sector is recognized as a key driver of economic development.Kenya's manufacturing sector is no exception with a contribution of 10% to gross domestic product from 2008 to 2014.In the 2017-2019 time period, however, the contribution deteriorated to 8.4%, 7.7% and 7.54% respectively, suggesting a possible premature de-industrialization.If this trend persists, Kenya's goal of achieving a robust manufacturing sector through the Big Four Agenda may not be achieved.While the government has implemented strategies and interventions to boost the sector, these do not seem to reverse the trend.Against this backdrop, we explore how social capital as a readily available resource can be tapped to enhance performance among the micro, small and medium manufacturing enterprises.The study employs relevant theories namely social capital theory, resource-based view, and dynamic capability, among others.The sample includes 384 ventures from a population of 61,931 licensed manufacturing businesses operating within Nairobi City County.Findings indicate that social capital positively and significantly predicted the performance of micro, small and medium manufacturing enterprises.No moderating effect was found in the link between social capital, operating environment and performance.The study recommends that management and policy interventions harness more and diverse networks to enable firms better manage changes within the operating environment without adverse impact on performance.
The Effectiveness of Virtual Reality Exposure Therapy Module for Reducing Acrophobia Symptoms

The amount of places that require a person to be in high-altitude circumstances is a barrier for people who are afraid of heights or also known as acrophobia. The therapist can offer a 3D stimulus using Virtual Reality (VR), making it a more efficient alternative to exposure treatments. Virtual Reality Exposure Therapy is the practice of exposing oneself to a fearful stimulus via a VR camera (VRET). The purpose of this study is to determine the effectiveness of the VRET module in reducing acrophobia symptoms. The pretest-posttest control group design was utilized in the study. Participants with acrophobia were separated into two groups: the control (n=14) and the experimental (n=15) who received VRET treatment. They completed the Acrophobia Questionnaire (AQ) before and after the nine VRET sessions. Compared to control condition, participants in the experimental group reported lower scores in AQ-Anxiety and AQ-Avoidance. Furthermore, each exposure session results in a significant decrease in psychological assessments utilizing the State-Trait Anxiety Inventory and Autonomic Perception Questionnaire scales. A significant decrease has also occurred in the Respiratory Rate and Skin Conductance indicators. According to the findings of this study, the VRET module is effective in reducing the psychological and physiological symptoms of acrophobia.
The Extended Technology Acceptance Model (ETAM): Examining Students’ Acceptance of Online Learning During COVID-19 Pandemic

This study contributes to the existing literature on online learning during COVID-19 pandemic in higher education by investigating the relationships between the cognitive variables and students' adoption of online learning. Based on Technology Acceptance Model (TAM), some hypotheses we formulated to test the links between TAM constructs and online learning anxiety as an antecedent. This study adopted structural equation modeling (SEM) to scrutinize technology adoption for a sample of 569 students in Oman. The results indicated that attitude towards online learning is a strong predictor of technology adoption during COVID-19 pandemic. Furthermore, both the perceived usefulness of online learning and perceived ease of online use yielded a significant contribution of attitude. Besides, online learning anxiety affected both the perceived usefulness and perceived ease of online use negatively where perceived ease of use is predicted largely while perceived usefulness is predicted modestly. In the light of the previous findings, some recommendations and implications are provided.
Sharp local minimax rates for goodness-of-fit testing in multivariate binomial and Poisson families and in multinomials

We consider the identity testing problem -or goodness-of-fit testing problemin multivariate binomial families, multivariate Poisson families and multinomial distributions.Given a known distribution p and n i.i.d.samples drawn from an unknown distribution q, we investigate how large > 0 should be to distinguish, with high probability, the case p D q from the case d.p; q/, where d denotes a specific distance over probability distributions.We answer this question in the case of a family of different distances: d.p; q/ D kp qk t for t 2 OE1; 2, where k k t is the entrywise `t norm.Besides being locally minimax-optimal -i.e.characterizing the detection threshold in dependence of the known matrix p -our tests have simple expressions and are easily implementable.
Effects of the TPACK Levels of University Teachers on the Use of Online Teaching Technical Tools

Abstract—The effects of technological pedagogical content knowledge (TPACK) on teachers’ use of online teaching technical tools are analyzed through a case study based on 297 civil engineering teachers in 7 universities of China. Results show that the overall Cronbach’s α is 0.868, Kaiser–Meyer–Olkin test (KMO)is 0.781, and the corresponding P value is 0.000, indicating the high reliability and validity of the study. The content knowledge(CK), technological knowledge(TK), and TPACK of civil engineering teachers in universities have significantly positive effects on their use of online teaching technical tools. Conclusions can provide important references to expand the research scope and content of TPACK, promote the professional development of civil engineering teachers in universities, and help them enrich information knowledge structure.
Design of an Exchange Protocol for the Quantum Blockchain

This paper explores the idea of a quantum exchange protocol between two entities, validated by (at least) a third one. Two entities, part of a greater system, decide they want to trade quantum goods: their exchange is configurable, and allows them to select the type of good, from a selected preset, and the desired quantity, up to a maximum value (one of the quantum goods can be interpreted as quantum money/a form of quantum currency). Certain qubits should also be used as a way of storing the details of the transfer, after it has been validated (acting in a similar way to a quantum ledger). The quantum circuits of the proposed design are implemented using the Python programming language with the help of Qiskit, IBM’s open-source quantum framework.
Enhancing financial performance by applying knowledge management and new financial technologies in the banking industry

Considering the mediating role of the new financial technologies, this paper aims to study the relationship between the use of knowledge management (KM) and the enhancing financial performance of banks in the banking industry of Iran. In terms of purpose, the paper was applied and correlational one in terms of descriptive method. The statistical sample was made up of 180 senior and middle managers of active banks in Iran with at least 5 years of work experience (tenure) in KM and new financial technologies. Moreover, A questionnaire was applied to collect research data, and the validity and reliability were confirmed through CVR and Cronbach's alpha indices. Upon collecting the data to test the research hypotheses, the structural equation modeling method was applied in the SmartPLS. The results showed that KM holds a positive and significant effect on enhancing financial performance and 0.682 directly predicts the changes related to the financial performance of the studied banks. Furthermore, further analysis of the results showed that KM through modern financial technologies holds a positive and significant effect on the financial performance of active banks in the banking industry of Iran. Consequently, applying KM dimensions (use of knowledge, acquisition of knowledge, and integration of knowledge) along with modern financial technologies - such as cloud computing technology, smart contracts, and artificial intelligence – is likely to enhance the financial performance of banks and provide sustainable profitability.
Achieving sustainable job performance of employees through transformational leadership and employee participation

The aim of this study was to investigate the relationship between the use of transformational leadership style and sustainable job performance of Keshavarzi Bank of Iran employees with respect to the mediating role of employee participation. The present study was an applied goal and in terms of descriptive method was a correlation. The statistical population of the present study consisted of 483 senior and middle managers of the Agricultural Bank of Iran with at least 5 years of experience. A questionnaire was used to collect research data, the validity and reliability of which were confirmed by CVR and Cronbach's alpha. After collecting data to test the research hypotheses, the structural equation modeling method was used in Smart PLS software. The results of testing the research hypotheses showed that transformational leadership style has a positive and significant effect on sustainable job performance of Keshavarzi Bank of Iran employees and directly predicts 0.755 of changes related to sustainable job performance. The results also showed that transformational leadership style through employee participation has a positive and significant effect on sustainable job performance of Keshavarzi Bank of Iran employees. Accordingly, it can be said that employees who are guided by transformational leadership style, often strive to benefit the organization beyond the defined job tasks and achieve a stable level of job performance in the long run.
Towards learner-centric pedagogies: Technology-enhanced teaching and learning in the 21st century classroom

Effective professional development contributes to improved teacher knowledge and practice as well as deep and meaningful student learning. Despite professional development being cited by the South African Department of Basic Education as a priority goal, teacher professional development activities have been inadequate. In this article, we use a socio-cultural perspective to investigate the pedagogical affordances of digitalisation and technology integration. This study is part of a larger mixed methods study but for the purpose of this article we focus solely on its qualitative results. The aim of the study was to understand teachers' best practices with digital technologies and how these technologies are being used to inform the 21st century classroom and encourage a learner-centric environment. The findings reveal weaknesses in the professional development activities regarding digital technologies and learner-centric pedagogies that are generally episodic, one-size-fits-all events focused largely on technical knowledge. The chief impediment towards learner-centric pedagogies and the implementation of technology-enhanced teaching and learning is the misalignment between teachers' digital abilities and the demands of the 21st century technology-equipped classrooms. Our recommendation is the continual situated professional development of teachers, including the creation of professional learning communities and the harnessing of digital technologies to provide an effective blended approach to teacher learning and instructional delivery in the 21st century.
MODEL OF BLENDED LEARNING IN HIGHER EDUCATIONAL INSTITUTIONS: DEVELOPMENT, IMPLEMENTATION AND EVALUATION

The paper examines the problem of blended learning modeling to ensure high-quality vocational training of specialists-to-be of various profiles at higher education institutions of Ukraine. The purpose of the research is to develop a model of blended learning for higher education institutions and to analyze the results of its implementation in the educational process. It was concluded that there are quite a few approaches to the development and practical implementation of blended learning models. In the paper blended learning is considered as a reasonable combination of the traditional educational process in classrooms with distance learning, students' self-study and the use of digital technologies, which takes place according to a certain scheme. The concepts of "blended learning" and "hybrid learning" as well as several existing models of blended learning are analyzed. The generalized model of blended learning at higher education institutions along with its visual representation has been developed. The implementation of this model allows practitioners to combine different types of educational activities in the process of face-to-face and remote classes in exactly the combination that is necessary to achieve the expected results under the conditions of a specific higher education institution. The results of a survey conducted at Bogdan Khmelnitsky Melitopol State Pedagogical University are given. During the survey attention has been paid to the following aspects: how students understand the essence of blended learning as well as the difference between the use of distance learning elements in the face-to-face learning process and the full application of distance and blended learning technologies during quarantine; students' attitude to traditional, blended and distance learning; how students perceive the educational process organized on the basis of the proposed generalized model of blended learning. In addition, it has been found out which digital technologies are used at universities for the organization of blended learning. In general, according to the results of the survey, the expediency of using the developed model has been confirmed and promising directions of scientific research in the field of blended learning have been determined.
Generating Semantic Matches Between Maintenance Work Orders for Diagnostic Decision Support

Improving maintenance knowledge intelligence using text data is challenging since the maintenance information is mainly recorded as text. To unlock the knowledge from the maintenance text, a decision-making solution based on retrieving similar cases to help solve new maintenance problems is proposed. In this work, an unsupervised domain fine-tuning technique, Transformer-based Sequential Denoising Auto-Encoder (TSDAE) is used to fine-tune the BERT (Bidirectional Encoder Representations from Transformers) model on domain-specific corpora composed of the Maintenance Work Orders (MWOs). Unsupervised fine-tuning helped the BERT model to adapt MWOs text. Results indicate fine-tuned BERT model can generate semantic matches between MWOs regardless of the complex nature of maintenance text.
Dataset for Fault Classification in Rock Drills, a Fast Oscillating Hydraulic System

This work describes the collection and properties of the publicly available rock drill fault classification data set rockdrill11, used for the 2022 PHM Conference Data Challenge. The data is collected from a carefully instrumented hydraulic rock drill, operating in normal operation in a test cell while inducing a number of faults. Hydraulic pressure is measured at 50kHz at three different locations, resulting in detailed pressure signatures for each fault. Due to wave propagation phenomena, the system is sensitive to individual differences between different rock drills, drills rigs and configurations. Such differences named "individuals" are introduced in the data by altering certain parameters in the test setup. An important part of the data is therefore the availability of No-fault reference cycles, which are supplied for all individuals. These reference cycles give information on how individuals differ from each other, and can be used to improve classification.
National Scientific Information Infrastructure: Problems, Tasks and Prospects

Introduction. Large volumes of scientific data and the development of the Data-Driven Science paradigm create a need for fundamentally new tools with which to work with information and conduct scientific communication. The emergence of such tools is only possible given the prerequisite technological foundation – a well-developed digital infrastructure for the storage and exchange of a large variety of scientific data, intended for use not only by researchers but also by software agents. The article analyzes the problems in the established practices of scientific information management in Russia and the existing barriers that prevent the creation of a new generation of tools. Overcoming them is a very complex and large-scale task, due to the diversity of actors involved in scientific information, the types of scientific information, the specificity of various subject areas, and other factors. To do so, we need a Strategy for the Development of a National Scientific Information Infrastructure, a set of systemic changes in the standards and practices for working with scientific information which will affect a significant part of the scientific community. Results and Discussion. The main provisions of the Strategy are formulated, including the goal, objectives and principles of development, its main mission (creating an environment for the formation of value chains of scientific information) and key results – new highly intelligent services for informational support of various types of scientific activity. Conclusion. The implementation of the proposed Strategy should result in new highly intelligent services offering informational support for various types of scientific activity; development of digital competencies among researchers; a significant increase in the use of scientific content; development of the market for scientific information services; improvements in the system of division of scientific labor.
A human-computer interaction system based on eye, eyebrow and head movements

ÖzDevices like computers that require manual control are difficult to use by disabled people such as having multiple sclerosis (MS), amyotrophic lateral sclerosis (ALS), partial stroke, etc.These people have a very limited movement capability such that they can do most of the interaction with a limited movement of head and the eye.Assistive technologies are very important for people with disabilities not to be dependent on anyone in daily life.In this study, we present a humancomputer interaction application that works based on analysis of the head and eye/eyebrow movements from real-time images captured by a visual camera.We propose Difference Between Eye and Eyebrow (DEEB) features to detect the action intention of the user and properly realize the computer keyboard and mouse actions based on eyebrow, eye and head movements.In addition, there are shortcut keys in the designed interface that facilitate access to Instagram, WhatsApp, YouTube etc. which are considered to make it easier for individuals with disabilities to communicate with their social environment.We obtained satisfactory results on the designed interface in the experimental study.Manuel kontrol gerektiren bilgisayar gibi cihazların, Multipl Skleroz (MS), Amiyotrofik Lateral Skleroz (ALS), kısmi felç gibi engelli kişiler tarafından kullanılması zordur.Bu kişiler sınırlı hareket kabiliyetine sahip olduklarından çevresiyle iletişimlerinin çoğunu kısıtlı baş ve göz hareketleri ile gerçekleştirebilmektedirler.Engellilerin günlük hayatta kimseye bağımlı olmaması için yardımcı teknolojiler oldukça önemlidir
Designing a Stratified English Homework in Primary Schools under the Concept of Double Reduction

&lt;p&gt;The design of homework for primary school English teaching is important, but it has not been given enough attention in actual primary school English teaching. Teachers focus more on teaching than on designing homework. They prioritize grammar over critical thinking. They focus on the whole class instead of on each student individually. The quality of primary school English homework should be improved by focusing on the purpose, applicability, and individuality of the homework.&lt;/p&gt;
Forecasting Population of Madiun Regency Using ARIMA Method

The high population growth of the Madiun Regency can cause population density that can have implications for other problems, both in terms of social, economic, welfare, security, land availability, availability of clean water, and food needs. This study aims to predict the population growth of Madiun Regency using the ARIMA method. The ARIMA (Autoregressive Integrated Moving Average) method is popular for forecasting time series data, which is reliable because the calculation process is done gradually. This study uses annual population data of Madiun Regency from 1983 to 2021 and produces an ARIMA forecasting model (0,2,1) with a MAPE value of 8.42%. The results of this study are expected to be used as information from the Madiun Regency government in anticipating the emergence of problems caused by the population level of Madiun Regency in the future.
On the Application of Noiseless Steganography and Elliptic Curves Cryptography Digital Signature Algorithm Methods in Securing Text Messages

Elliptic curve cryptography includes symmetric key cryptography systems that base their security on mathematical problems of elliptic curves. There are several ways that can be used to define the elliptic curve equation that depends on the infinite field used, one of which is the infinite field prima ( where ). Elliptic curve cryptography can be used for multiple protocol purposes, digital signatures, and encryption schemes.The purpose of this study is to determine the process of hiding encrypted messages using the Noiseless Steganography method as well as the generation of private keys and public keys and the process of verifying the validity of the Elliptic Curves Cryptography Digital Signature Algorithm (ECDSA). The result of this thesis is that a line graph is obtained that store or hides a message using the steganography method and a message authenticity from the process of key generation and verification of validity using the ECDSA method. By selecting three samples consisting of one test sample and two differentiating samples, a line graph, an MD5 hash value, and a value at the point are obtained different. Successively obtained values to message “Matematika 2018”, “MATEMATIKA 2018”, and “2018 matematika” are and . The discussion in this thesis only covers the elliptic curves on prime finite field. So, for the next thesis, the next researcher can do a discussion about the elliptic curve on the finite field or the application of elliptic curve cryptography and other steganographic methods