Reviewerly/exHarmony huggingface dataset:
QOS Evaluation For Web Service Recommendation

Quality-of-Service (QoS) is vital for characterising nonfunctional aspects of Web services as they become more prevalent and widely used on the World Wide Web.In this study, the system presents a collaborative filtering approach for forecasting Web service QoS values and producing Web service recommendations by leveraging previous service users' usage experiences.Web service QoS value prediction is a crucial topic for service selection and recommendation.Because the quality of the entire system depends on the QoS of a single Web service, QoS value is a crucial consideration when choosing a service.In practise, it is challenging to anticipate the missing QoS value of a web service using the available data.One of the highest rated techniques is collaborative filtering, which uses QoS values provided by comparable users to anticipate outcomes.Therefore, the prediction and assessment of missing QoS values use the prior QoS value given by the various users.For the prediction of QoS value, the user's reputation is equally crucial.Although location data is taken into account by existing Web service QoS value prediction algorithms, this may lower the accuracy of the predictions.As a means of resolving the aforementioned Web service recommendation issues, this study offers two novel solutions.In order to forecast multi-dimensional QoS effectively and conveniently, the system first suggests a tensor-based QoS prediction method (TBQP).The system then suggests a user preference-based approach for predicting overall QoS (OQPUP), which may be used to quickly and reliably gather user preferences and, as a result, provide an accurate assessment of overall QoS.
An Optimization Method for Characterizing Two Groups of Data

Feature selection is to choose a subset of features, out of a set of candidate features, such that the selected set best represents the whole in a particular aspect. We present a bi-objective optimization model for a feature selection problem in the context of data grouping. The aim is to select a set of features that has the smallest size and maximizes the similarities between samples of the same group and the differences between samples of different groups. We propose a lexicographic solution method and prove several properties of the problem. We show that even obtaining feasible solutions for the problem can be challenging, and we therefore develop efficient matheuristic algorithms. We test our algorithms on 136 datasets ranging from medium to large, including 11 real-world ones. We show that the proposed matheuristics can deliver quality solutions in a reasonable amount of time.
Financial Stability: Does Social Activism Matter?

We investigate the impact of social activism on financial system stability. Financial stability was analysed from two complementary perspectives: bank-led financial stability and financial system stability driven by sector-wide credit supply. Social activism was analysed from three perspectives: gender equality advocacy, environmental sustainability advocacy, and social protection advocacy. The findings reveal that gender equality and environmental sustainability advocacy have significant positive effects for financial stability while social protection advocacy has a significant negative effect for financial stability. Also, social activism has negative effects for financial stability in the post-2008 financial crisis era. Finally, there are differential effects for country-groups, for instance, social activism strongly improves bank-led financial stability in African countries and for BLEND countries (countries that are eligible for IDA borrowing based on per capita income levels and are also creditworthy for some borrowing from the International Bank of Restructuring and Development (IBRD). The findings are relevant for the on-going debate about whether social inclusivity and activism has any economic value for the stability of businesses and the financial system. The findings have implications
Model Checking Super-Operator-Valued Markov Chains

This chapter is devoted to studying a class of even more complex quantum systems modelled as so-called super-operator-valued Markov chains (SVMCs). This new model is particularly useful in modelling the high-level structure of quantum programs and quantum communication protocols. Several algorithms for checking SVMCs are presented in this chapter.
Does Senior High School Strand Matter in Nursing Students’ Academic Self-Regulated Learning and Academic Performance?

The Philippines recently adopted the K to 12 program in basic education. Under this program, students can choose their track and strand relative to their interests or career choices when they reach senior high school. However, issues surfaced when the K to 12 graduates were admitted to the college courses not aligned with the strand they have completed. This cross-sectional study was conducted to determine the difference in the academic self-regulated learning and performance of the STEM (Science and Technology, Engineering, and Mathematics) and non-STEM graduates in senior high school among freshmen nursing students in a city-subsidized college in the Philippines. The Academic Self-Regulation Learning Scale and grades of students in the first semester were used and analyzed in this study. Results showed that there was a significant difference in the academic self- regulated learning (p=0.045) and academic performance (p=0.000) of freshmen nursing students when grouped according to their senior high school strand. The STEM graduates had significantly higher academic self- regulated learning and academic performance than the non-STEM completers. Unfortunately, no significant relationship was established between academic self-regulated learning and academic performance (p=0.559). Students who are graduates of the STEM strand from senior high school appear to be better prepared to take up the nursing course. Colleges of nursing may consider the academic strand of students in senior high school when admitting students in the nursing program.
Accuracy Analysis of Community Satisfaction in Population Administration Services Using the C4.5 Algorithm and Naïve Bayes Method: Accuracy Analysis of Community Satisfaction in Population Administration Services Using the C4.5 Algorithm and Naïve Bayes Method

The Directorate General of Population and Civil Registration needs indicators for benchmarks in improving the quality of services for the community, one of which is conducting a survey of community satisfaction by using several attributes including requirements, mechanisms, completion times, product specifications, officer competencies, officer attitudes, reporting and advice as well as facilities and infrastructure where the satisfaction results can be classified using data mining. In this study, the authors tested two data mining classification methods, namely the C4.5 Algorithm method and the Naive Bayes method using RapidMiner software. From the test method, the accuracy of 88.00% was obtained using the Naive Bayes method and the C4.5 algorithm was obtained with an accuracy of 80.40%.
A New Model of Artificial Intelligence: Application to Data I

In this article, I'm going to apply the new, polynomial time model of artificial intelligence that I've developed to four well-known datasets from the UCI Machine Learning Repository. For each of the four classification problems, the categorizations and predictions generated by the algorithms were generated on an unsupervised basis. Over the four classification problems, the categorization algorithm had an average success rate of 92.833%, where success is measured by the percentage of categories that are consistent with the hidden classification data. Over the four classification problems, the prediction algorithm had an average success rate of 93.497%, where success is measured by the percentage of predictions that are consistent with the hidden classification data. All of the code necessary to run these algorithms, and apply them to the training data, is available on my researchgate homepage.
Developing interest and attention to the application of innovative technologies in the educational process

Numerous teaching methods have been created on the basis of the various forms and that are used and practiced in practice, and this process continues. The way that the way, the way a particular ACT of learning is shaped, is a form of self-study that serves to achieve that goal. Here are some of the paths that can be used for the activity that is required to be performed as a means of action, and the path chosen according to the intended purpose.
Effect of Composite Composition in Nanofiber for Degradation of Humic Acid Solution

One of the basic needs for human is clean water. Many lowlands and marshy areas in larger islands in Indonesia such as Sumatra and Kalimantan are the source of peat water. This type of water is harmful for people living in such areas and it cannot be used directly for drinking and living. According to the standard quality of good water, peat water does not meet the requirements as a source of water for daily life. Peat water is acidic, red-brownish coloured, and it contains higher organic matters especially humic acid and its derivatives. Photocatalysis process is one of the promising way to treat solution that contains humic acid. This research aims to pre-eliminary study activity of PVDF-TiO 2 /ZnO nanofiber for degradation of humic acid solution. Photocatalytic activities were studied inside photoreactor system with artificial UV radiation with 254 nm wavelength. The percentage of degradation after contacting humic acid solution to photocatalyst was determined by measuring humic acid solution before and after degradation by using UV-Vis spectrophotometer with maximum lambda in 219 nm. The rate constants were calculated and the results were 0,03909 min -1 and 0.02832 min -1 respectively for PVDF-4%TiO 2 /ZnO and PVDF-8%TiO 2 /ZnOnanofibers and it is in pseudo first order kinetic model.
Bitcoin, between Currency and Investment

This essay explores the possible qualification of bitcoin and the cryptocurrenciesat large, in order to shed light on the disputable relationship between these digitalrealities and the legal currencies. In particular, it attempts to reconstruct the juridicalframework within which the phenomenon de quo took shape and developed, so as toillustrate the fluid analogies and differences between cryptocurrencies, legal currencies,and financial instruments and products.
A REFERENCE LIST ON A SPECIFIC TOPIC: METHODOLOGY AND METHODS OF COMPILATION

The article discusses the methodology and methods for compiling a reference list on a specific topic of a scientific research of advanced complexity, as well as factors affecting the relevance of such a library service.
UPAYA MENINGKATKAN PRESTASI BELAJAR BAHASA INDONESIA TEMA DIRI SENDIRI MELALUI MODEL PEMBELAJARAN TEMATIK DENGAN MEDIA KARTU KATA

The purpose of this research is to improve learning achievement Indonesian theme yourself on the grade 1 students of SD Negeri 2 Ngraho through thematic learning model with said card medium . This research was conducted in the 1st grade, School 2 Ngraho District of Kedungtuban Blora totaling 26 students , 14 female and 12 male students . This research was conducted in two cycles . Each cycle includes four stages: ( 1 ) planning , ( 2 ) implementation , ( 3 ) observation , ( 4 ) reflection . The results showed that the average value of the first daily test average of 51.92 student learning outcomes can be improved to 65.57 in Cycle 1 . In cycle 2 the average value of student learning outcomes increased to 78.46 . The conclusions in this study are Learning Through Thematic Learning Model Media Card Words can increase learning Indonesian Presentation Themes Yourself For 1st grade students Ngraho At School 2 Semester 1 Kedungtuban Blora District of Academic Year 2011/2012 .
APPLICATION OF REMOTE SENSING AND FRACTAL MODELING IN IDENTIFYING THE ALTERATION ZONES IN MUTEH COMPLEX- CENTRAL IRAN

Muteh complex is located in the Northeast of the Golpayegan city and in the middle part of Sanandaj-Sirjan metamorphic complex. The host rock is mostly Schist and Gneisses, that are intruded and altered by younger granitic units. Gold mineralization is attributed to pyritic materials in host rock, that after leaching and destruction into Fe-hydroxides under the process of Alunitization, the gold related materials would be released and its grade in the altered rock units grows up. Three types of pyrite are present in the samples. The first generation of pyrite is parallel to the host rock schistosity. The second generation is perpendicular to the host rock schistosity and third generation is in fractures. Structurally high grade of the Au has accorded in places where conjugated faults with northwest to southeast trend are presents. The alteration type of area was identified by Spectral Angle Mapper(SAM) method and then have been classified by Number-Size(N-S) fractal method: also conjugate faults were extracted by using ETM+ satellite images and then classified by Concentration- Area fractal method. the most parts of alterated areas and gold mineralization related to these conjugated faults; XRD analysis, confirm the remote sensing method results and fire assay analysis is used for determining gold concentration in these areas.
Path Planning of Mobile Robots using the Artificial Potential Field Method and the Harris Hawks Metaheuristic Algorithm

Path planning of mobile robots is one of the important issues in the field of robotics. Also, optimizing the path length and crossing the local minima traps are the basic and up-to-date challenges in this field. One of the important methods in path planning of these robots is the artificial potential field method. Because it is based on simple mathematical calculations. One of the most important disadvantages of this method is getting trapped in local minima situations. One approach for solving the problem of local minima is to use optimization methods to find suitable coefficients (attractive and repulsive) and step length that can solve local minima and optimize the path length. The Harris Hawks algorithm is a powerful and new meta-heuristic algorithm in the field of optimization that is based on population and inspired by the life of Harris Hawks in nature. This algorithm has been able to prove its superiority over similar optimization methods in finding the optimal solution, faster convergence, lower computational time and not trapping in local minima. This method has not been used in the path planning of mobile robots. In order to eliminate the disadvantages of the artificial potential field method and to optimize the path length, the Harris Hawks algorithm has been used in this paper. The simulation results showed that the combination of the artificial potential field method and the Harris Hawks algorithm can solve the local minima problem and optimize the path length, increase the path efficiency and reduce the convergence time.
초등영어교육에서의 세계시민교육 효과 연구

The purpose of this study was to investigate the effects of global citizenship education which mainly focused on ‘values, perceptions and attitudes’...
Peningkatan Kemampuan Poetry Reading Komunitas Belajar HMJ Sastra Indonesia dan Sastra Inggris Universitas Lancang Kuning

The title of this community service is "Increasing the Poetry Reading Ability of the Learning Community of HMJ Indonesian Literature and English Literature, Faculty of Cultural Sciences, Lancang Kuning University. The aim of this training is to provide knowledge and skills about reading English poetry to the Indonesian and English Literature HMJ community. The ability to read English poetry is both receptive and productive. Receptive because they have to understand the meaning referred to in the poetry text, and productive when doing or giving appreciation. To improve students' reading skills, it is necessary to provide training on English poetry reading techniques properly and correctly so that students gain experience and knowledge that can be used in appreciation.
APPLIED INFORMATICS AT THE UNIVERSITY WITH ECONOMIC PROFILE

The article presents the analysis of the activity of the Department of Information Systems in Economy in the bachelors training in the field of «Applied Informatics». The data obtained by the questionnaire survey of the graduate group was used for the research
Mitigating the Impact of COVID-19 Through Technological Interventions is India Legally Equipped: Aarogya App Case Study

Tremendous utilisation of technology during lockdown and quarantine for COVD-19 pandemic has beenobserved. The health care agencies are making best possible efforts to fight the pandemic. The phoneapplications for tracing proximity to people to identify infection hotspots and possible transmission is alsogaining popularity. Various countries have launched apps which can be installed in smartphone for contacttracing. Indian government has also launched Aarogya Setu app. The launch of this app fueled alot ofdiscussion as compliance with patient privacy and human rightsissues. This app constantly monitors GPSlocation of an individual which is considered as an invasion of privacy by legal experts. Although AarogyaSetu app has many in built privacy features to protect sensitive data. In 2017 Supreme Court held privacyto be constitutionally protected right under Article 21 of the Indian Constitution. The same was followedby introduction of Personal Data Protection Bill in Parliament in year 2018 and again in 2019. However, itstill remains in the form of bill only. Further, in Puttaswammy Judgement Supreme Court allowed states tocollect data for certain legitimate purpose where there is state or public interest. COVID-19 has definitelyaccelerated the need to have stronger data protection legislation in India to protect patient privacy. Strongerdata protection law will only add to the legitimate, efficient and careful processing of important data whichis required to fight against the pandemic.
ABDIMAS UNTUK CONTENT CREATOR MELALUI WEBINAR DAN PELATIHAN

The impact of the COVID 19 pandemic is not only the health sector but also the economic sector.Many companies closed and their turnover decreased. In the end, many workers were sent homeand did not return to work. Several alumni and students of Universitas Muhammadiyah Sidoarjo(UMSIDA) were also affected, who eventually could no longer work. Meanwhile, the content creatorprofession is as promising as Youtuber. The purpose of this event is to increase knowledge andskills as a content creator for UMSIDA students and alumni, especially the Faculty of Business, Lawand Social Sciences (FHBIS). The methods used are webinars and training. The result was anincrease in participants' knowledge and skills regarding webinar materials and training as contentcreators.
Introduction to Big Multimodal Multimedia Data with Deep Analytics

introduction Share on Introduction to Big Multimodal Multimedia Data with Deep Analytics Authors: Yang Wang Hefei University of Technology Hefei University of TechnologyView Profile , Meng Fang Tecent AI Tecent AIView Profile , Joey Tianyi Zhou A-Star A-StarView Profile , Tingting Mu The University of Manchester The University of ManchesterView Profile , Dacheng Tao The UBTECH Sydney Artificial Intelligence Centre, the University of Sydney, Australia The UBTECH Sydney Artificial Intelligence Centre, the University of Sydney, AustraliaView Profile Authors Info & Claims ACM Transactions on Multimedia Computing, Communications, and ApplicationsVolume 17Issue 1sJanuary 2021 Article No.: 1pp 1–3https://doi.org/10.1145/3447530Online:31 March 2021Publication History 0citation212DownloadsMetricsTotal Citations0Total Downloads212Last 12 Months93Last 6 weeks4 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my Alerts New Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Online writing task for young learners during mco: pupils and parents responses

Malaysia Movement Control Order (MCO) has encouraged the education system to move forward in the Information Communication and Technology (ICT) usage especially to communicate, receive and sending information including tasks among educators and students. However, writing skill task for young learners is not an easy task to be carried out online without a close supervision from the teacher. Writing skills among second language learners require full attention and guidance from the teacher in the classroom especially in term of the teaching and learning of grammar rules. This study focuses on analysing and determining the effectiveness on pupils respond towards a writing task given via online. Parents involvement in guiding their child in completing their task was analysed too. A qualitative research design by using document analysis based on the responses given by twenty randomly chosen 12-year-old pupils and parents in a primary school in Johor, Malaysia were used in this study. Narrative writing analysis were used to explain the outcome. The results given by the pupils to complete the task were excellent. They managed to complete the task within the time frame given. Parents play a major role in guiding their children to use the ICT gadgets such as smartphones, computers and laptops with proper internet connection to complete and submit their task accordingly. It is hope that this paper would encourage educators, parents and pupils to adapt the new norm situation by using ICT especially in writing task that was always and only conducted in the classroom.
Automated Identification and Differentiation of Spectrally Similar Hydrothermal Minerals on Mars

Early telescopic observations corroborated hydration related absorptions on Mars in the infrared. Images from the Viking missions led to speculation of hydrothermal alteration and were followed by two missions which mapped the spatial variability of the ~ 3 μm hydration feature. Since then, the Compact Reconnaissance Imager for Mars (CRISM) has provided high spatial resolution (up to 18m) spectral identification of a suite of hydrothermal and diagenetic minerals which have illuminated a range of formation mechanisms. Presence/absence and spatial segregation or mixing of minerals like prehnite, epidote, chlorite amphiboles, and mixed-layer Fe/Mg smectite-chlorite provide valuable evidence for the geologic setting of deposits on Earth, and these phases are often used as temperature and aqueous chemistry indicators in terrestrial systems. Mapping the distribution of these phases will help to answer whether Mars had widespread conditions favorable for low-grade metamorphism and diagenesis, or only focused hydrothermal systems in areas of high heat flow. Further characterizing the chemistry and structure of these phases will then help to answer how most of the widespread Fe/Mg phyllosilicates formed, further defining early geochemical cycling and climate. A fully automated approach for accurate mapping of important hydrothermal mineral phases on Mars has been a challenge. Due to overlapping features in the M-OH region (~2.2-2.4 μm), the strongest absorption features of chlorite, prehnite, and epidote in the short-wave infrared are difficult to distinguish from one another and from the most commonly occurring hydrated silicates on Mars, Fe/Mg smectites. Weaker absorptions are present in both prehnite and epidote which help to distinguish them from chlorite and smectites, but their relative strength in the presence of noise and spatial mixing is often too low to confidently identify them without the noise suppression and feature enhancement methods described here. The spectral signatures of mixed-layer Fe/Mg smectite-chlorite and partially chloritized Fe/Mg smectites have not yet been adequately assessed. Here we evaluate the effectiveness of two empirical and statistical methods for identifying and differentiating these phases using CRISM data.