Reviewerly/exHarmony huggingface dataset:
Study on Academic Evaluation Practice of Theoretical Courses of Sports Basketball Education under the Concept of Quantitative Evaluation

The report of the 20th National Congress of the Communist Party of my country clearly pointed out that it is necessary to cultivate high-quality teachers, which means improving the physical education ability of our country. The construction of physical education teachers in colleges and universities should not only have good professional skills but also have a profound theoretical foundation, which requires strengthening their teaching evaluation. Therefore, evaluating their teaching effects has become an important topic in the current teaching reform. For a long time, the theoretical teaching performance evaluation of domestic university sports majors mostly adopts quantitative methods such as paper and pen, pursuing precision, and quantification, thus greatly improving the comprehensive quality of students. This study is to analyze the academic performance of vocational basic courses of basketball in colleges and universities, using the quantitative evaluation method and developmental evaluation idea. The conclusion is that the teaching emphases of each discipline can be distinguished based on the evaluation criteria of teachers’ academic qualifications and quantitative evaluation so as to find the development direction of each discipline of sports basketball and the degree of goal completion.
Emergency Health Monitoring Assistance for Elderly People

Ubiquitous elderly care has been a central priority for both study and business because of the fast-expanding ageing population and the resulting health and social care challenges.Any remedy must be conceived, executed, and verified utilizing domain expertise, regardless of how critical technology is in attaining these goals.Distant real-time surveillance of a patient's health could be used to predict illness relapses and so allow for early action to address these difficulties.A wearable health monitoring system for the aged is described in this research.To keep track on the elderly, employed wireless wearable sensors and smart phones.It may provide remote management for the elderly at any time and from any location, as well as personalized service for everyone depending on their specific health needs.When the smart phone detects an emergency, it will immediately alert pre-assigned persons, who may be the elderly person's relatives and friends, and summon the emergency center's ambulance.It also serves as a personal health monitoring system and medical guidance, providing a single interaction platform and medical expertise repository so that the served person's family and friends may work with physicians to care for him or her.The system also has certain special features designed to meet the needs of the elderly, such as a frequent notification, a rapid alarm, medical counselling, and so on.
A secondary EWMA-based dictionary learning algorithm for polynomial phase signal denoising

Abstract Under the influence of additive white Gaussian noise, sparse representation cannot effectively remove noise associated with the polynomial phase signal (PPS) via most dictionary learning algorithms whose training data come from the noisy signal, such as K-SVD and RLS-DLA. In this paper, we present a novel dictionary learning algorithm based on secondary exponentially weighted moving average (SEWMA) to denoise PPS. In the proposed algorithm, we first estimate the signal-to-noise (SNR) of the PPS to set the optimal rate of a weighted decline using covariance matrix model. Second we use RLS-DLA to train the dictionary. Thirdly, SEWMA is used to refine atoms in the learned dictionary. In this way, the SNR of the reconstructed signal obtained using the proposed algorithm is clearly higher than that of other algorithms, whereas the mean squared error is lower than that of other algorithms. To obtain the optimal denoising performance, the optimal rate of a weighted decline is set based on the estimated SNR. Simulation results show that the proposed method outperforms the K-SVD, RLS-DLA in mean square error and the SNR.
AN ERROR ANALYSIS IN GENERATING COMPOUND COMPLEX SENTENCE ON STUDENTS’ WRITING

Since compound-complex sentences combine two distinct sentences, many students face difficulties to generate the type of sentence. This research aims to analyze the students’ errors in writing compound-complex sentences. The research applied the descriptive qualitative research design. The participants of the research are English education department students taking basic writing course. The data was taken from student’s writing task and analyzed classifying them into different types of sentence errors based on Hacker and Sommers (2011). The result shows that the error made by students are fused sentence 35.6 %, missing verb 28%, missing subject 20%, comma splices 13,3% and missing subject and verb 2,2%. It is advised that the lecturers in writing classes provide more tasks in addition to demonstrating more frequent errors and examples of compound-compound complex phrases taken from real-world texts.
THE ANALYSIS OF SIGN POSTS WORDS AND PHRASES ERROR IN STUDENTS’ WRITING ESSAY

This study was conducted to investigate and find out the student errors in using signposts in writing essays. Therefore, this study focused on finding the level of students’ ability in using signposts and the types of students’ errors in using signposts. 9 students of the fourth semester of English Education Program STKIP Dompu are taken as samples of the study. To obtain the data needed in this research the researcher tries to investigate the object by applying the descriptive quantitative method. The result of the test shows: (1) the mean score of the students in using signposts in writing paragraphs was 11, 22. It means that the students of English Education Program STKIP Dompu in applying signposts in essay writing were “very poor level”. (2) The types of students’ errors in using signposts in writing paragraphs are classified into four types: omissions errors, additions errors, misformations errors, and misordering errors.
EASEID- A SESSION-BASED SINGLE SIGN-ON SELF-SOVEREIGN IDENTITY AND ACCESS MANAGEMENT SYSTEM USING BLOCKCHAIN

To gain easy access to internet-based services, digital identity and access management systems may be employed.An identity management system based on blockchain can offer access to all of the services required by the user without jeopardizing their privacy or security.Users may have complete control over who the individual has access to their credentials.Service providers' validation will become simpler and quicker.The article gives an overview of blockchain, self-sovereignty, digital identity, and access management, as well as a recommended approach EASEID for a Session-based Single sign-on selfsovereign Identity and access management model built on the blockchain platform overcoming the vulnerabilities in the existing systems like Google, Facebook, etc. for gaining access to a variety of online services.
Central Bank Digital Currencies: To issue, or not to issue, that is the question- Legal and Economic Implications in the EU and, the Albanian Perspective

This research paper aims to serve as an added value to enrich the literature regarding the Central Banks Digital Currency and all its possible implications impacting the financial system. Our focus is on analysing CBDC from different perspectives, by analysing the motivations and concerns that lead countries with different economic conditions to introduce for their public this innovation as well as, to analyse the implications it poses due to significant fields of banking sector at whole, in terms of commercial banks, monetary policy of central bank or all the spikes that may happen in financial stability. The imminent allocation of crypto currencies has been the catalyst which has prompted Central Banks of various countries in Europe and beyond, to launch complex studies focusing on the implementation of macroeconomic policies in the context of digital currency issued by Central Banks. In prima facie overview, this process will be accompanied by various challenges, ascertained these challenges in the economic field but also in the legal one. This research paper, inter alia, aims to analyse the legal regulatory framework at the level of the European Union, taking into account the potential implications, material and procedural difficulties as well as, the economic effects that may derive from the issuance of digital currency issued by Central Banks. Along with analysation of EU legal framework in this research paper shall be analysed also the perspective of the Republic of Albania, as a candidate country for membership in the European Union which has the obligation to harmonize legislation with the aquis communiter.
Prediction and Estimation of River Velocity Based on GAN and Multifeature Fusion

The necessity of predicting and estimating river velocity motivates the development of a prediction method based on GAN image enhancement and multifeature fusion. In this method, in order to improve the image quality of river velocity, GAN network is used to enhance the image, so as to improve the integrity of image data set. In order to improve the accuracy of prediction, the image is extracted and fused with multiple features, and the extracted multiple features are taken as the input of CNN, so as to improve the prediction accuracy of convolution neural network. The results show that when the velocity is 0.25 m/s, 0.50 m/s, and 0.75 m/s, the accuracy of improved method can reach 85%, 90%, and 92%, which are higher than SVM, VGG-16, and BPNET algorithms. The above results indicate that the improvement has certain positive value and practical application value.
Evaluation of Visual-Induced Motion Sickness from Head-Mounted Display Using Heartbeat Evoked Potential: A Cognitive Load-Focused Approach

According to the sensory conflict theory, motion sickness is closely tied to the brain's ability to process information and its resources for adjusting to the variety of sensory inputs present in VR content. The goal of this study was to create a mechanism for analyzing motion sickness using the heart-evoked potential (HEP) phenomena and to suggest new metrics for doing so. In this study, participants watched VR content on 2D and head-mounted displays (HMD) for 15 minutes. Using paired t-tests and ANCOVA, the responses of HEP measures such as alpha power, latency, and amplitude of the first and second HEP components were compared. This study established that motion sickness impairs cognitive functioning, as indicated by an increase in HEP's alpha power. Additionally, during the sensation of motion sickness, the suggested indicators, such as latency and amplitude of the HEP waveform, demonstrated substantial variations and displayed strong relationships with alpha power measurements. According to the multitraitmultimethod matrix, latencies of the first HEP component in particular are suggested as superior quantitative evaluators of motion sickness to other measures. The proposed motion sickness model was put into practise using a support vector machine and validated using data from 20 additional subjects. The findings of the motion-sickness categorization included accuracy, F1 score, precision, recall, and area under the curve (AUC) of 0.875, 0.865, 0.941, 0.8, and 0.962, respectively.
Study on the Microclimate Effect of Water Body Form in Urban Square

In urban areas, water bodies have a positive effect on the microclimate of the surroundings.However, there is less information on the relationship between artificial water body forms and the microclimate, especially the artificial water bodies in urban squares.The study of the microclimate effect of the water body form and layout in the city square can provide the necessary reference for the design of a city square.This study first summarized the basic shape and area of the city square in Nanjing.Through the investigation of the water body form of the city square, two quantitative indicators of the water body were summarized: the water body area ratio and the water body shape index.According to these indicators, a series of different water body models were generated in the basic square model, which was used as the object of microclimate simulation.Using ENVI-met, simulations of city square models with different water forms were performed for a typical day of summer and winter, and their effects on thermal comfort were recorded.Through the statistical analysis of the simulation results, it was found that there is a clear correlation between the water body form indicators and the microclimate effects, although the microclimate effect intensity of different morphological indicators is different.The analysis results can provide a valuable reference for the design of city squares.
Variance reduction on general adaptive stochastic mirror descent

In this work, we propose a simple and generalized algorithmic framework for applying variance reduction to adaptive mirror descent algorithms for faster convergence. We introduce the SVRAMD algorithm, and provide its general convergence analysis in both the nonsmooth nonconvex optimization problem and the generalized P–L conditioned nonconvex optimization problem. We prove that variance reduction can reduce the gradient complexity of all adaptive mirror descent algorithms that satisfy a mild assumption and thus accelerate their convergence. In particular, our general theory implies that variance reduction can be applied to different algorithms with their distinct choices of the proximal function, such as gradient descent with time-varying step sizes, mirror descent with $$L_1$$ mirror maps, and self-adaptive algorithms such as AdaGrad and RMSProp. Moreover, the proved convergence rates of SVRAMD recover the existing rates without complicated algorithmic components, which indicates their optimality. Extensive experiments validate our theoretical findings.
Relationship Between Preservice Teachers' Micro-Teaching and Actual Teaching of Word Problems

Micro-teaching, widely used in teacher education program, is assumed to be effective in helping pre-service teachers bridge what they learn in their program courses and what they do in practicum classrooms.Yet, this assumption has not been carefully examined empirically.This study examines this assumption drawing on the video-taped micro-teaching after mathematics methods course module and actual videotaped lessons in practicum classrooms on word problem solving from 121 preservice teachers.It found that there are significant positive relationships between content and pedagogic content characteristics of participants' microteaching and actual lessons on word problem solving.There is a gap as they transferred theoretical mathematics knowledge and procedure demonstrated in microteaching to actual lessons.
Bayesian Nonparametric Clustering Mixture Model

Location tracking devices are becoming increasingly popular in practice to study movement of customers or track inventory.However, using location tracking devices in education contexts is quite novel.In this paper, we present a robust Bayesian nonparametric mixture model that clusters location data.We successfully apply this model on location data retrieved from two different events using Quuppa, a location tracking system, to identify statistically significant clusters.Implications of this model include identifying "unexpected" clusters during interactive learning activities such as groups of students isolated from other students.As a consequence, further research in behavioral analysis can be done to analyze why such behavior is exhibited.
The Sustainability Prospective of Irrigation System Management in Bali and Outside of Bali

Effective and efficient water resources management is unquestionably required to meet the high demand of water to support rapid population growth and socio-economic expansion. The water supply availability is slowly decreased due to plantation land clearing, construction projects, and land-change activities in the watershed area. This study aimed to analyze the sustainability of irrigation management in Bali and outside of Bali (Bolaang Mongondow Regency, North Sulawesi). Primary and secondary data were employed in this study. In-depth interview and focus group discussion sessions conducted to collect the primary data. The literature review technique applied to gather secondary data to support the study result and discussion. We recruited the committee of subak, farmers, and stakeholders or policymakers from the Local Board of Agriculture and Public Works and Public Housing (sub-irrigation division) to participate in this study. Multi-Dimensional Scaling method employed to analyze the study data. Results revealed that the sustainability prospective of the irrigation system management in Mongondow was relatively weak, especially on the physical-ecological, infrastructure-technology, and policy-institutional dimensions. However, we noticed that the economy and social dimension of the watershed area was relatively sustainable. Contrary situations were found on Saba Watershed in Buleleng Regency, Bali Province. We found that the sustainability prospective on the physical-ecological and infrastructure-technology dimension was relatively weak. But the dimension of the economy, socio-cultural, and policy-institutional was adequately sustainable.
Decentralized Lean Business Model Canvas for Blockchain-Based Enterprises

A generic decentralized lean business model canvas was developed using the principles of business process management and lean six sigma for blockchain-based systems presented in this study.Based on the literature review, it was found that business model canvas and lean canvas are some of the most widely used management tools.Business Model Canvas can be used for selling a specific product and lean canvas can be used for solving a specific problem.Based on Business Model Canvas, a Decentralized Business Model canvas for decentralized space was developed in which the key parameters such as Problem definition, Key resources, Key activities, and learning were missing.As the Learn Parameter is missing, there is no mechanism for rectification of error/problems and it does not take into account the principles of Business Process Management and Lean Six Sigma.As many companies who have already implemented the principles of Business Process Management and Lean Six Sigma are now moving to establish blockchain in their business.Also, several startups use blockchain ideals in their business model.This motivated us to develop a novel decentralized lean business model canvas template.This can be made suitable for any blockchain-based use cases to make strategic management plans.It uses 13 key parameters and overcomes the limitations posed by other canvases.Validation of the decentralized lean business model canvas was done by considering a use case scenario for scholarly communication and scientific publishing.The proposed system competes on time, cost, quality, security, and trust.
Preservice Teachers' Professional Vision for and Capacity to Teach Self-Regulated Learning: Effects of Scaffolding Level

Nevertheless, gaps in research remain concerning how teachers can actually bring SRL into classrooms.Teaching SRL requires the development of teachers' professional vision (PV; Goodwin, 1994) as it extends into the domain of teaching SRL, termed professional vision for SRL (PV for SRL).Raising new goals for preparation programs, current education reforms call to increase preservice teachers' SRL pedagogical knowledge throughout their training period (National Council for Accreditation of Teacher Education, 2010).Yet, SRL poses significant challenges for preservice teachers (Author,
Higher Education Sustainability Professionals as a Signaling Mechanism: A Social Network Analysis

For nearly three decades, policymakers have created a global script prescribing that higher education serves as an auspicious site for cultivating social change within the sustainability forefront.After a series of policy initiatives, higher education institutions (HEIs) are being called to infuse sustainability into all aspects of higher education (Cortese & Hattan, 2010; Kolenick, 2016).In response to these demands came a wave of hiring sustainability professionals-the driving force in bringing sustainability into practice amidst HEIs worldwide.In this study, we intentionally use the term "professional" to incorporate the variety of titles used to describe this role, including coordinators, managers, and directors.Sustainability professionals are understood as a promising instrument for helping HEIs in its forward journey in manifesting a more sustainable world (Hoover & Harder, 2015;Hopkins, 2016).Largely missing from policy, practice, and research, though, is a concrete explanation of what this role truly encapsulates.This is a curious omission given the prominence of sustainability professionals in higher education today.We suggest this is an important gap to fill because for professionals, "being able to attach some meaning to the concept, even if only implicitly, is essential to doing their jobs" (Gough, 2002, p.62).Therefore, this study aims to contribute a more refined understanding of the role of sustainability professionals by responding to the following research question: what characterizes the work of higher education sustainability professionals based on institutional job descriptions?
Image denoising model based on improved fractional calculus mathematical equation

Abstract Aiming at the problems of image edge blur and detail loss in most image denoising models, an image denoising model based on improved fractional calculus is proposed. Through the classification of image noise, the integer order PDE model is discussed. Based on the mathematical theory of fractional calculus, the fractional PDE model is discussed. The model is improved by combining texture detection operator, gray value detection operator, smoothing factor and fast algorithm. The simulation experiment of the model is carried out based on MATLAB simulation platform. The results show that the improved model is significantly better than other comparison models in image denoising effect, and the operation efficiency is higher.
Real-Time Reflectance Measurement Using an Astigmatic Optical Profilometer

An astigmatic optical profilometer with a commercial optical pickup head provides benefits, such as high resolution, compact size, and low cost. To eliminate artifacts caused by complex materials with different reflectances, a z-axis modulation mode is proposed to obtain quantitative surface morphology by measuring S curves on all image pixels. Moreover, the slope of the linear region in the S curve shows a positive relationship with the surface reflectance. However, the slope was calculated using an offline curve fitting method, which did not allow real-time reflectance imaging. Furthermore, quantitative reflectance data were unavailable because of the lack of calibration. In this study, we propose a novel method for real-time reflectance imaging by measuring the amplitude of a focus error signal (FES). The calibration results displayed a linear relationship between the FES amplitude and reflectance. The reflectance image of a grating sample with chrome patterns on a glass substrate demonstrates accurate reflectance measurements with a micrometer spatial resolution.