Reviewerly/exHarmony huggingface dataset:
Implementasi Pembelajaran E-Learning Berbasis Schoology Untuk Meningkatkan Keaktifan Pembelajaran Pada Mata Kuliah Akuntansi Sektor Publik Mahasiswa Pendidikan Akuntansi Ums

This study aims: (1.) To find out how the application of Schoology-based E-learning in the learning process in public sector accounting courses in accounting education students at Muhammadiyah University of Surakarta. (2.) To determine the effect after the implementation of Schoology-based E-learning in public sector accounting courses in accounting education students at the Muhammadiyah University of Surakarta. (3.) To find out the activeness of Schoology-based E-learning in public sector accounting courses in accounting education students at the Muhammadiyah University of Surakarta. This type of qualitative research with ethnographic approach research design. Data collection techniques using interviews, observation of passive participation, and documentation. Data validity is done by source triangulation and method triangulation. Data analysis techniques use an interactive model with steps of data collection, data reduction, data presentation and data verification / drawing conclusions. The results showed that, (1) The application of e-learning learning media has been used in the Accounting Education Study Program which consists of 3 media platforms including Edmodo, Moodle and Schoology. (2) The effect of applying e-learning with schoology on public sector accounting courses has positive and negative impacts. The positive impact arising from the use of e-learning with schoology means that the learning process can be accented anywhere and anytime, accessing material that is easier and more flexible learning activities can be carried out anytime and anywhere without having to meet face to face. The negative impact of the application of e-learning with schoology is the reduced direct interaction between lecturer and student so that the lecturer cannot directly observe the progress of his students, (3) The activeness of learning in public sector accounting courses with the adoption of schoology-based e-learning has increased activity where students who are normally not active become more active and willing to argue in discussion forums using schoology because they can be accessed anytime and anywhere, easy access to material increase the activeness of students in processing and understanding the material because it can be done anytime and anywhere so that students are easier and more flexible in their learning process.
Energy-Optimal 3D Path Planning for MAV with Motion Uncertainty

Practical applications of microaerial vehicle face significant challenges including imprecise localization, limited on-board energy, and motion uncertainty. This paper focuses on the latter two issues. The core of proposed energy-optimal path planning algorithm is an energy consumption model deriving from real measurements of a specific quadrotor and utilizing a 2D Gaussian distribution function to simulate the uncertainty of random drift. Based on these two models, we formulate the optimal path traversing the 3D map with minimum energy consumption using a heuristic ant colony optimization. Multiple sets of contrast experiments demonstrate the effectiveness and efficiency of the proposed algorithm.
PROPOSED METHODOLOGY FOR ESTABLISHING AN EARLY GNSS WARNING SYSTEM FOR REAL-TIME DEFORMATION MONITORING

Early Warning System (EWS) for monitoring megastructures deformation, natural hazards, earthquakes, and landslidescan prevent economic and life losses. Nowadays, Real-Time Precise Point Positioning (RT-PPP) plays a vital role in thisdomain since it relies on precise real-time measurements derived from a single receiver, provides real-time monitoring andglobal coverage. Nevertheless, RT-PPP measurements and methodology is very sensitive to outliers in products, latenciesand changes in the constellation geometry. Consequently, there are long initialization periods, losses of convergence anddifferent noise sources, with a high impact on the warning system's availability or even led out to initiate false warnings.This study presents the first experiment to propose a methodology that can help the decision-makers confirm the warningbased on the probability of the detected movement by using machine learning classification models. For this, in the firstexperiment, a laser engraving machine device was modified to simulate deformations. A control unit will be designed basedon open-source software, Python libraries are implemented, and the G programming language used to control the devicemotions. All this research will be the background on which the early warning service will be developed.
A Black Widow Optimization Algorithm Using Chaos Reproduction Operator

Nature-inspired optimization algorithms can solve different scientific and engineering problems. Recently, metaheuristic algorithms are becoming powerful methods for solving NP problems. Black Widow Optimization (BWO) algorithm, is inspired by the mating behavior of black widow spiders. In this paper, a proposed more efficient algorithm for black widow optimization algorithm using a chaotic reproduction operator is proposed. Some experiments have been performed to study chaotic modernization in simulations of evolution. Three different algorithms are proposed; the first algorithm is called speedy, the second algorithm is called periodic and The third algorithm is called chaotic. The second order logistic function with one parameter is used to show the chaotic behavior. Obtained results show the efficiency that the proposed algorithms are more efficient than the old ones.
Regardless of Age, Virtual Learning has Proven a Challenge

Younger and older students alike face challenges with virtual school, said Andrea Smith, an early childhood education professor in Western Michigan University's College of Education and Human Devel...
Use of Fiction in the Formation of the Worldview of Youth

This article aims to provide basic information about use of fiction in shaping world looking of youth. Reading fiction can be based on giving mental stimulation that is helpful to improve speech, life style, approach, memory, vocabulary, and intention. In the process of reading, we usually put ourselves into the thought of the main heroes. Directly, this can help enhance empathy and emotional intellect. As we know, reading books has got many advantages that are fruitful to develop all skills of youth. Also, reading can improve your life in many ways. The best part is, reading is amazing and helpful for enlarging mindset of children. Actually, you will stimulate your mind and increase your emotional intelligence. But you can also go on exciting adventures and experience a life paradigm shift. Reading fiction books helps to learn more about analytical, logical, critical thinking, speaking, writing skills, empathy, tolerance,and stress reduction.
Determinants with Legendre symbol entries and elliptic curves

Determinants with Legendre symbol entries have close relations with charactersums and elliptic curves over finite fields. In recent years, Sun, Krachun andhis cooperators studied this topic. In this paper, we confirm some conjecturesposed by Sun and investigate some related topics. For instance, given any integers $c,d$ with $d\ne0$ and $c^2-4d\ne0$, we showthat there are infinitely many odd primes $p$ such that$$\det\bigg[\left(\frac{i^2+cij+dj^2}{p}\right)\bigg]_{0\le i,j\le p-1}=0,$$where $(\frac{\cdot}{p})$ is the Legendre symbol. This confirms a conjecture ofSun.
Arbitrary Mixing of Frequency-Range Multimode Quantum States Using Nonlinear Waveguide Crystals Based on Dispersion Engineering

As a method of quantum pulse gating in a quantum simulator, we experimentally demonstrate arbitrary mixing of multimode quantum states prepared in the frequency domain.
Learning and Investing During COVID-19 Crisis: A Behavioral Finance Perspective

We 5 have a common intention to empower teaching and learning communities via innovative teaching practices during Covid 19.As teachers cum researchers, we create a common platform so that they could share their point of view in techniques to improve teaching and learning practices in India during Covid 19.
The Chronology of Archaeological Assemblages Based on Automatic Bayesian Procedure: Eastern Iberia as Study Case

The purpose of this work is to show an automatic Bayesian procedure to obtain accurate chronological information of archaeological assemblages characterized by palimpsest or neither radiocarbon dates and whose temporal information comes only from bifacial flint arrowheads.In this work, a classification based on the Dirichlet-multinomial inferential process and its posterior predictive probability distribution are applied. Its purpose is to predict the chronological period of archaeological assemblages (levels or sites) based on the predictive probability distribution of each bifacial flint arrowhead types defined in the Eastern Iberia during the 4th and 3rd millennium cal BC. The results of this suggest that this approach is very useful to obtain accurate chronology when other archaeological information is not available or it is not defining.
Analysis of global solar energy dynamics on horizontal module in Minna, Niger state, Nigeria

The availability of solar energy in any location on the earth surface is affected by time of the day and seasonal variations, and in some instances loads vary in accordance with seasons also. Therefore, accurate knowledge of the quantity available at any particular location and time and the dynamics is imperative for solar power system design and installation. In this study, analysis of global solar irradiance on horizontal surface was carried out with the consideration of the prevailing atmospheric conditions and seasons in Minna, Nigeria. Li-200SA MA200 pyranometer sensor, incorporated with CR1000 software-based data logging system with computer interface, placed horizontally at the same test plane and at about three meters of height were employed to measure global solar irradiance. The logger was programmed to measure and log solar irradiance at every 5 minutes intervals from 8:00 am to 7:00 pm local time for the duration of 3 years from 2016 to 2018. Data analysis was carried out to obtain the hourly, daily, monthly and yearly global irradiance dynamics on horizontal surface using Excel spread sheet. The result shows seasonal variations.
EDUCACIÓN VIRTUAL EN CHILE, EJEMPLO DE UN NUEVO ESPACIO PARA EL APRENDIZAJE

espanolLa Educacion Virtual nace en el ano 2002 a partir de un proyecto conjunto entre el Centro de Perfeccionamiento, Experimentacion e Investigaciones Pedagogicas CPEIP y el Centro de Educacion y Tecnologia Enlaces. CPEIP ha desarrollado una linea de formacion docente a distancia a traves de Internet ejecutando varios cursos desde el ano 2002, y Enlaces durante los ultimos 15 anos ha dedicado sus esfuerzos a proporcionar el acceso de profesores y estudiantes a oportunidades educativas asociadas a las nuevas tecnologias de informacion y comunicacion. Ambas instituciones decidieron aunar sus esfuerzos y desarrollar un proyecto conjunto que integra a la linea de formacion docente a distancia del CPEIP, hasta ahora dirigida a la actualizacion curricular, diferentes estrategias de apoyo a la apropiacion de las TIC y la integracion curricular de las mismas. EnglishThe Virtual Education was born in 2002 from a joint project between the Center for Improvement, Experimentation and Pedagogical Research CPEIP and the Center for Education and Technology Links. CPEIP has developed a line of distance teacher training through the Internet running several courses since 2002, and Enlaces during the last 15 years has dedicated its efforts to provide the access of teachers and students to educational opportunities associated with new technologies of Information and communication. Both institutions decided to combine their efforts and develop a joint project that integrates the CPEIP distance teacher training line, up to now aimed at curriculum updating, different strategies to support the appropriation of ICTs and their curricular integration.
Women, Community Education and Rural Transformation in Nigeria: A Synergy

Women have always been relevant in any development process either at home or in their various communities.They are the key actors in bringing about real changes positively given their population statistics and their active roles in the community.They are often at the grassroots level and are seen to be important in decision making processes though in most cases this is not acknowledged or appreciated given the patriarchal nature of the communities and also at higher levels of human socialisation.This paper seeks to bring to discourse the crucial importance of women and how the transformation process of their communities may not be worthwhile if they are not actively involved.The popular notion that if you train a woman you train a community is the underlying factor guiding this paper.The paper is also premised on the fact that if women are giving the right atmosphere and environment to operate then, a strong synergy is expected to bring about positive rural transformation for the betterment of all the stakeholders.
MODEL KOLABORASI TQM DALAM PEMENUHAN TRIDHARMA PERGURUAN TINGGI

The tridharma of higher education in the form of education, research, and community service is the mandate of the legislation for universities. In implementing tridharma, universities should adapt to the development and needs of the community as well as science and technology (Science, Technology and the Arts). It can hardly be fulfilled by a university alone because of the growing needs of the society where all branches of science need to be integrated and connected. This study explained how collaboration could be applied in universities with a TQM approach. TQM has been widely used in various organizations and has proven its success for this approach was chosen in developing the existing collaboration model. Literature analysis method of TQM and collaboration was used in this study. The result is collaboration in fulfilling the Tridharma of higher education by using the TQM approach in a model stage could help organizations achieve previously agreed goals and adapt to existing science and technology needs.
Sistema semiótico para la interpretación crítica de textos en docentes de Educación Básica Regular

The critical interpretation of a text is a complex process for the development of critical thinking of people, which is a goal that is in process and is a very important issue in current education for the improvement of student learning and learning. teachers from their professional training, consequently, the objective of this article is to carry out an analytical reflection on the importance of semiotic systems in the reading and interpretation of a text. Document review and analysis was used as the main method, which corresponds to a type of qualitative research due to its critical and interpretive nature for an adequate theoretical systematization. The results reveal that the ability to interpret people's texts from verbal and non-verbal semiotic systems helps to develop their critical thinking, this in the field of education improves the learning process.
The Antecedents and Outcomes of Brand Relationship Quality and Customer Engagement

Nowadays, hotels need further efforts to grow new streams of income as rivalry is penetrating and new visitors are difficult to confirm at a mature phrase. It is vital for hotel managers to recognize additional concerning customer engagement with brand, to recognize what the antecedents of these kind of engagements are, and to distinguish what consequences they are able to achieve from customer engagement. The study aimed to investigate the background and result of brand relationship quality and customer engagement at hotels industry in the Northern of Iraq. Quantitative Research used in the current study. Quantitative Research is conclusive in its purpose as it tries to quantify the problem and understand how prevalent it is by looking for projectable results to a larger population. According to the ministry of tourism, 3 million people visited Erbil on 2018. the authors have used online sample calculator to measure my sample size, according to that I have found that the authors need to distribute 400 questionnaires, but the authors received 353 valid questionnaires. The authors applied a simple regression analysis to measure research hypotheses, the findings revealed that the highest value and most effective concerning measuring the background and result of brand relationship quality and customer engagement at hotels industry in the Northern of Iraq, was first hypothesis which stated that Hotel stay related membership benefits of loyalty program positively influence Brand relationship quality. In contrast, the lowest value was for second hypothesis which stated that Non-Hotel stay related membership benefits of loyalty program positively influence customer engagement.
Ensemble Technique on Predictive Analysis and Fraud Orders Detection using Supervised Machine Learning Algorithms in Supply Chain Management

Background: In this research article, the researcher developed a predictive model on fraud orders detection using ensemble approach of supervised machine learning algorithms in supply chain management. Fraud orders are the significant research issues in business industries with respect to supply chain management and logistics management activities it creates a misleading statistic and disrupting the entire business process. The researcher pointed out some of the significant research issues on fraud orders detection in supply chain management.Method: The researcher used the ensemble techniques on predictive model which are based on different supervised machine learning algorithms. This research article intended to the comparative research study on different supervised machine learning algorithms and its accuracy level such as Logistic Regression 0.69, Random Forest Classifier 0.89, K-Neighbours Classifier 0.74, Gaussian-NB0.67, Decision Tree Classifier 0.88. This predictive model is verified at 89% accuracy level and can be capable to handle imbalance training datasets and predict the sales and orders are in category of fraud or not.Results: The researcher handled the imbalance datasets with accuracy level of 89% to identify the orders are in category of fraud or not. The researcher used the sales and orders datasets from Kaggle and refined the data with data pre-process process. During the data analysis process the data are passed through the different supervised machine learning algorithms and finally the researcher found that Random Forest Classifier given the 89% accuracy level to classify those orders are in category of fraud or not. One of closer predictive model-based Decision Tree Classifier which is also given the 88% accuracy level and very close to Random Forest Classifier.Conclusion: Finally, the researcher concluded that the ensemble approach of predictive model is based on Logistic Regression, Random Forest Classifier, K-Neighbours Classifier, Gaussian-NB, Decision Tree Classifier on Fraud Orders Detection Using Supervised Machine Learning Algorithms in Supply Chain Management. This predictive model is verifying at 89% accuracy level to classify whether the orders are in category of fraud or not. The researcher assure that the predictive model would be benefited for the industries in supply chain management and logistics management to identify the sales and orders are fraud or not and enhanced the business process and operational activities.
Trade-offs Between Privacy-Preserving and Explainable Machine Learning in Healthcare

Background: Machine Learning has enormous potential for applications in various fields. Explainability and privacy are two key questions when training a Machine Learning model especially in critical information infrastructure such as the healthcare sector.Objective: The goal of this paper is to identify the current state of research and possible trade-offs between explainability and privacy of Machine Learning models. Furthermore, the aim was to identify possible ways of implementing explainability methods in Federated Learning, a privacy-preserving setting.Methods: First, we have conducted a systematic literature review to identify possible trade-offs. Second, we evaluated and selected methods that one can theoretically implement without risking privacy in a Federated Learning application with a focus on medical image analysis.Results: Our results show that only a few researchers have so far been discussing possible trade-offs between explainable and privacy-preserving Machine Learning. The three relevant papers show that there is a natural trade-off, and a higher level of explainability can make a model more vulnerable to attacks and therefore have a higher risk of privacy leakage. For our implementation example of explainable Machine Learning methods in Federated Learning we came to the result that it seems to be theoretically possible. Our selected methods are SHapley Additive exPlanations, Gradient-weighted Class Activation Mapping, and Local Interpretable Model-Agnostic Explanations. However, experiments would be necessary to confirm these ideas.Conclusion: To summarize, we showed that possible trade-offs between explainable and privacy-preserving Machine Learning methods exist, though, is not yet fully discussed in the literature.
The Relationship Between Intercultural Interactions At University And The Creativity Of Russian Students: The Role Of Intercultural Competence

This research studies the relationship between home country intercultural experience, intercultural and creativity among Russian students. We assume that students from culturally heterogeneous groups or/and students having a course dedicated to intercultural issues are more creative, as cultural diversity and cultural learning are associated with a higher level of intercultural competence, and intercultural may be positively related to creativity. The sample of the first study included 72 students and the sample of the second study included 272 students of HSE University. Creativity was measured by the indicators of creative thinking (fluency, flexibility, and originality) via Many instances game from the creativity test battery of Runco; intercultural was measured using Assessment of intercultural competence of Fantini & Tirmizi. Home country intercultural experience was operationalized via the presence of students from other countries in the study groups and via the inclusion of a Cross-Cultural Psychology course in the students’ curriculum. The results of the first study show that cultural learning in the home country institution leads to higher levels of creativity, while the cultural heterogeneity of the groups is associated with an increase in creativity only when cultural learning was applied. The results of the second study show such components of intercultural as attitudes and the adaptability of behavior play an important role in the creativity of Russian students: attitudes are positively and the adaptability of behavior is negatively related to creativity.