Reviewerly/exHarmony huggingface dataset:
Design of Hybrid Portable Underwater Turbine Hydro and Solar Energy Power Plants: Innovation to Use Underwater and Solar Current as Alternative Electricity in Dusun Dongol Sidoarjo

The need for electrical energy in Indonesia continues to increase every year. In line with the increase in the electrification ratio to 100% in 2050, the demand for electrical energy is projected to reach 7 times, namely 1,611 TWh. To meet electricity needs, the government has created a 35 GW program, but one of the largest contributors to power generation fuel is coal with a share of 58% or around 50 GW which is estimated to be exhausted within the next 68 years. For this reason, innovations are needed in terms of fulfilling electrical energy by utilizing renewable energy potential, one of which is hydro energy, which is 45,379 MW from a total resource of 75,091 MW. Therefore, from this potential, innovations related to renewable energy have been created, namely the Hybrid Portable Underwater Turbine Hydro and Solar Energy hybrid power plant. This power plant uses an undersea current as a propulsion which is hybridized with solar power to increase the production of electrical energy. This power plant has the advantage that there is an Underwater turbine design that is resistant to underwater flow and a water flow direction to increase the work efficiency of the underwater turbine. From the test results, the portable Underwater turbine hydro produces 950 W in a day. Solar panels produce 65.6 Watts a day. The total hybrid that can be produced is 1.02 kW a day. In its implementation it can supply loads of up to 900 (VA) such as lamps, fans, TV, etc. This hybrid power plant can be a solution to help meet electricity needs in the area around Dusun Dongol, Sidoarjo through alternative electrical energy innovations.
Research Guides: Text and Data Mining: Data sources

A brief guide to tools and resources (including datasets) for getting started with computational approaches to textual analysis.
A Note on Short Invertible Ring Elements and Applications to Cyclotomic and Trinomials Number Fields

Ring-SIS based $\Sigma$-protocols require a challenge set $\mathcal{C}$ in some ring $R$, usually an order in a number field $L$. These $\Sigma$-protocols impose various requirements on the subset $\mathcal{C}$, and finding a good, or even optimal, challenge set is a non-trivial task that involves making various trade-offs.  Ring-SIS based $\Sigma$-protocols require a challenge set $\mathcal{C}$ in some ring $R$, usually an order in a number field $L$. These $\Sigma$-protocols impose various requirements on the subset $\mathcal{C}$, and finding a good, or even optimal, challenge set is a non-trivial task that involves making various trade-offs. In particular, (1) the set $\mathcal{C}$ should be `large', (2) elements in $\mathcal{C}$ should be `small', and (3) differences of distinct elements in $\mathcal{C}$ should be invertible modulo a rational prime $p$. Moreover, for efficiency purposes, it is desirable that (4) the prime $p$ is small, and that (5) it splits in many factors in the number field $L$. These requirements on $\mathcal{C}$ are subject to certain trade-offs, e.g., between the splitting behavior of the prime $p$ and its size.  Lyubashevsky and Seiler (Eurocrypt 2018) have studied these trade-offs for subrings of cyclotomic number fields. Cyclotomic number fields possess convenient properties and as a result most Ring-SIS based protocols are defined over these specific fields. However, recent attacks have shown that, in certain protocols, these convenient properties can be exploited by adversaries, thereby weakening or even breaking the cryptographic protocols. In this work, we revisit the results of Lyubashevsky and Seiler and show that they follow from standard Galois theory, thereby simplifying their proofs. Subsequently, this approach leads to a natural generalization from cyclotomic to arbitrary number fields. We apply the generalized results to construct challenge sets in trinomial number fields of the form $\mathbb{Q}[X]/(f)$ with $f=X^n+aX^k+b \in \mathbb{Z}[X]$ irreducible. Along the way we prove a conjectured result on the practical applicability for cyclotomic number fields and prove the optimality of certain constructions. Finally, we find a new construction for challenge sets resulting in smaller prime sizes at the cost of slightly increasing the $\ell_2$-norm of the challenges.
ONLINE TEACHING OF MOBILE COMMUNICATION SYSTEMS DURING THE COVID-19 PANDEMIC USING MATLAB/OCTAVE

Appears in: EDULEARN21 Proceedings Publication year: 2021Pages: 7109-7118ISBN: 978-84-09-31267-2ISSN: 2340-1117doi: 10.21125/edulearn.2021.1435Conference name: 13th International Conference on Education and New Learning TechnologiesDates: 5-6 July, 2021Location: Online Conference
How does mental sorting scale

Author(s): Haridi, Susanne; Wu, Charley M; Dasgupta, Ishita; Schulz, Eric | Abstract: Human cognition can tackle a wide range of problems, producing scalable results within a manageable timeframe. Many cognitive models can predict human behavior but lack such scalability, resulting in rapidly increasing processing times for more complex inputs. We present a task where participants mentally sort sequences of rectangles by size while we measure reaction times (RTs) and accuracy. By manipulating the size of the input and the presence of latent structure in the sequences, we investigate i) how mental sorting scales with input complexity, ii) how latent structure influences scaling, and iii) how mental computations can be captured by plausible cognitive models. Our results reveal RTs scale linearly with sequence length, and participants can learn and actively use latent structure to sort faster. This behavior is in line with a noisy sorting algorithm, which sequentially rules out potential hypotheses about the latent structure, thus reducing complexity while retaining accuracy.
Download and Install Vshare for iOS without Jailbreak

Learn to Download And Install Vshare for iOS (iPhone/iPad) Without Jailbreak. Vshare is an awesome app. Today, I will share a little trick that will ...
Central Louisiana Technical Community College Library: Drafting and Design Technology: Library Resources: Databases and Electronic Articles

This guide will help you find information on Drafting and Design Technology in print and online. This page will assist you with finding articles and using the databases.
UPAYA MENINGKATKAN KETERAMPILAN MENULIS TEKS NEGOSIASI MELALUI PENERAPAN STRATEGI PEMBELAJARAN BERBASIS MASALAH (PROBLEM BASED LEARNING) PADA SISWA KELAS X SMA NURUL AMALIYAH T ANJUNG MORAWA TAHUN PEMBELAJARAN 2020-2021

This study aims to improve the implementation of negotiation text learning through the application of problem-based learning strategies in class X Nurul Amaliyah Tanjung Morawa in the 2020-2021 learning year to increase the value of writing negotiation text skills. This research is a classroom action research (PTK) through the research subjects of class X students Nurul Amaliyah Tanjung Morawa in the 2020-2021 learning year which consists of 32 students. This action research was conducted in two cycles, each of which contained four components, namely planning, implementing, observing, and reflecting. Observation data were obtained through tests, observations, document analysis, field notes, interviews, photo documentation, and questionnaires. The results showed that in the process of increasing the implementation of learning occurred in several aspects, for example in the aspect of student activity, student enthusiasm in participating in learning, student interaction in groups, and student attention. The results of observations during learning that can be shown. There is an increase in the value of the student's negotiating text on a commercial basis. In the first cycle, the average score of students in writing was 67.93, and an increase in the second cycle of 9.6% to 77.53. These results indicate that the application of problem-based learning strategies can improve the learning process and increase the value of writing negotiation text for class X students Nurul Amaliyah Tanjung Morawa in the 2020-2021 learning year. Keywords: writing skills, negotiation texts, problem-based learning strategies
LibGuides: Guided Pathways: Science

This guide will outline the ways in which the library can support Guided Pathways efforts at Moreno Valley College.
Digital and Innovative Education During the COVID-19 Pandemic: Uzbekistan

The pandemic has become a unique test of the power of international cooperation, manifested not only in the exchange of experience on epidemiological and organizational issues, but also in mutual financial, economic, and food assistance among the population. In this regard, it has become clear in Uzbekistan that it is difficult to fully ensure national security, especially human security, by eradicating the coronavirus only within the country. During the pandemic, international organizations provided the necessary assistance to Uzbekistan, and in 2020, $2.7 billion directed by international and foreign financial institutions, such as the Asian Development Bank, the World Bank, and the Japan International Cooperation Agency. The financial institutions will provide health care to fight the pandemic and have allocated $277 million to the storage health sector, sources said. The COVID-19 pandemic in the social context has significantly affected the population due to the great impact that has been generated in all the contexts where the individual develops. Among the problems that can be highlighted due to their level of increase is social inequality, discrimination, exclusion, and violence, among others, being those a reason for people to have effects on their well-being and quality of life. In relation to the aforementioned, this research aimed to analyze COVID-19 in the educational context in Uzbekistan universities and in the methodological context in virtual classes during this pandemic.
Managing Students’ Academic Information: :

Information systems in developed and developing c ountries have been equally threatened by cyber-attacks which are deliberate exploitations of computer systems, technology dependent enterprises and networks that can compromise data and lead to cybercrimes like information and identity theft. The study established the magnitude of cyber-attacks in Public Higher Education Institutions (HEIs) in Uganda by insiders likely to access vital information. Investigations into the likely causes of internal cyber-attacks and the level of preparedness on the part of Public HEIs to counteract any cyber threats associated with internal staff or trusted vendors were undertaken. A self-administered questionnaire and an interview guide were developed to solicit respondents’ views on whether 1) internal cyber-security threats are a reality 2) the magnitude of cyber attacks in Public Higher Education Institutions in Uganda 3) the likely causes of internal cybersecurity threats and 4) the level of preparedness on the part of Public HEIs to counteract any cyber threats associated with internal staff. Four purposively selected Public Higher Education Institutions that have computerised students’ information systems and in recent times suffered loss of students’ information were included in the study. Respondents were randomly selected from functional departments’ staff lists while key informants were purposively selected from functional departments and their views analyzed both qualitatively and quantitatively. Findings show that cyber-attacks are a real threat and do occur regularly although HEIs are sometimes not forthcoming in reporting their existence for fear of damaging their reputation and credibility. Results indicated lack of user education, unethical conduct, absence of policies, inadequate budget provisions, and cultures not easily adaptable to change, suggesting low levels of information security preparedness in many HEIs. The article provides recommendations including but not limited to: adequate information security budgets, strengthening of information security policies and disaster
LibGuides: Resource Sharing/ILL at University of Richmond Libraries : What is Resource Sharing/ILL?

This guide summarizes uses, updates, and guidance for Resource Sharing/ILL at Boatwright Library and Parsons Music Library at the University of Richmond. Description of resource sharing services.
La inteligencia emocional como fundamento de la educación emocional

This paper presents the influence and relevance of Emotional Intelligence (EI) as the foundation of emotional education on its 30th anniversary. Specifically, the EI model of Peter Salovey and John Mayer is described as an ability model with its advantages over other EI models such as Daniel Goleman's is highlighted for its applications to the education of emotions in society and at school. The scientific evidence on the benefits of EI in the school environment is also shown, showing its relevance in health and happiness, school life or people's academic performance. Finally, we present the RULER and INTEMO / INTEMO + emotional education programs designed from the Mayer and Salovey’s ability model which shows that, when students have received an adequate education in EI and with well-implemented programs, they enjoy better and with greater quality of life and well-being the socio-family relations and academic experiences.
Sequence Query Language Injection in Web Application Store Security

SQL injection attack is one of the most popular vulnerability attacks in the online web application as it has been listed through the most popular security research website of OWASP Top 10 Most Critical Web Application Security Risks from 2013 to 2017. (OWASP, 2017).The objective of developing this project is to develop a landing page of web application that are able to prevent SQL injection attack. This project is to prevent and develop with a secure web application in order to protect it from the SQL injection attack of vulnerability and other minor security risk. In the developing of the web application progress dot net (.NET) is one of the frameworks and are regularly expression that is mainly use to prevent SQL injection attack which is String SQL injection attack and Piggy-backed Queries attack. The tools that use to develop this web application is using Visual Studio 2019 and certain web browsers application which is Google chrome, Internet Explorer, Mozilla Firefox and etc.In this project, my team member and I has developed a web application what is allow the user to upload their project file to the system so that the other user such as student are able to download the file and it also can spread the student project to other users. The main function of the web application is allowing the developer or the user to upload file, sign in account, sign up account, block developer account, block uploaded file, download file, view login logs history, view reports, comment of the file, reject developer files and etc. The method that we use to develop this web application system is waterfall model. In this project we have used questionnaire as the requirement gathering technique that are gather from the public and the college student which is make through the google form and spread it around the college and university. Developing of this project, it has many testings of it and it has been done so that the SQL injection attack has been prevented and protected. Overall this web application is successfully protected to the SQL injection attack and it has been done with its objective and requirements. Last but not least, the weakness of this web application is that the security feature and function have to be keep up to date due to the technology changed rapidly therefore the SQL injection might have new method to attack into the server and the web application have to keep patch in order to prevent getting hack by the attacker.
Trainless model performance estimation based on random weights initialisations for neural architecture search

Neural architecture search has become an indispensable part of the deep learning field. Modern methods allow to find one of the best performing architectures, or to build one from scratch, but they typically make decisions based on the trained accuracy information. In the present article we explore instead how the architectural component of a neural network affects its prediction power. We focus on relationships between the trained accuracy of an architecture and its accuracy prior to training, by considering statistics over multiple initialisations. We observe that minimising the coefficient of variation of the untrained accuracy, $CV_{U}$, consistently leads to better performing architectures. We test the $CV_{U}$ as a neural architecture search scoring metric using the NAS-Bench-201 database of trained neural architectures. The architectures with the lowest $CV_{U}$ value have on average an accuracy of $91.90 \pm 2.27$, $64.08 \pm 5.63$ and $38.76 \pm 6.62$ for CIFAR-10, CIFAR-100 and a downscaled version of ImageNet, respectively. Since these values are statistically above the random baseline, we make a conclusion that a good architecture should be stable against weights initialisations. It takes about $190$ s for CIFAR-10 and CIFAR-100 and $133.9$ s for ImageNet16-120 to process $100$ architectures, on a batch of $256$ images, with $100$ initialisations.
The Effectiveness of Multimedia Learning in Enhancing Reading Comprehension Among Indigenous Pupils

The development of education is growing, and the technology-infused lesson is a powerful tool to attract pupils' attention, especially in reading. This approach can be seen as an adaptive movement to equip the learning process and the fourth industrial revolution. Nowadays, the demand of the technology-infused lesson is increasing as it is proven to help pupils learn the language better. Hence, this study explores multimedia learning as an approach to teaching reading comprehension. Besides, this study aims to answer two questions, which are the effectiveness of multimedia learning in helping indigenous pupils learn comprehension and which elements of media are effective in enhancing reading comprehension among indigenous pupils in Malaysia. Two instruments used to collect the data from 20 indigenous pupils in one primary school located in Kluang, Malaysia, and an action research design was used to achieve the purpose. The respondents were chosen through the judgment sampling technique. SPSS was used to analyse the data collected from the test, and thematic analysis was employed to analyse the semi-structured interview. The result shows that the implementation of multimedia learning in teaching reading comprehension is useful as the combination of multiple elements of media scaffolded the process of understanding. On the other hand, audio is the least effective in helping pupils comprehend the information.
The educational importance of listening to music for school children

The pleasure inherent in a morally and aesthetically educated person is expressed in such a way that it influences a person's heart to ask for a good word, advice, guidance. If you want to teach word formation, if you want your students to strive for good, cultivate the tenderness of the young heart, the sensitivity of the senses. Music is one of the most important means of influencing the young soul. You can't put it into words, you can explain it, but you can feel it. The main source of music is not only the external world, but also the person himself, his spiritual world, thinking and speech. This makes the teacher's job a bit more complicated, requiring him or her to perform all the music in the classroom. This is a complex task, which requires each music teacher to constantly improve their performance skills, and each lesson requires careful preparation. The emergence and formation of music and aesthetic culture depends on the complete mastery by students of each piece listened to. The student will then be able to fully integrate the teaching and learning skills taught by the teacher.
Research Guides: Find Full Text: Web Browser Tools

This guide provides strategies for accessing full text through Lane Library's licensed resources, no matter where you are and how you discover resources
Finite-Time Theory for Momentum Q-learning

Existing studies indicate that momentum ideas in conventional optimization can be used to improve the performance of Q-learning algorithms. However, the finite-time analysis for momentum-based Q-learning algorithms is only available for the tabular case without function approximation. This paper analyzes a class of momentum-based Q-learning algorithms with finite-time convergence guarantee. Specifically, we propose the MomentumQ algorithm, which integrates the Nesterov's and Polyak's momentum schemes, and generalizes the existing momentum-based Q-learning algorithms. For the infinite state-action space case, we establish the convergence guarantee for MomentumQ with linear function approximation under Markovian sampling. In particular, we characterize a finite-time convergence rate which is provably faster than the vanilla Q-learning. This is the first finite-time analysis for momentum-based Q-learning algorithms with function approximation. For the tabular case under synchronous sampling, we also obtain a finite-time convergence rate that is slightly better than the SpeedyQ [Azar et al., 2011].
무용현장에서 인문학 연구에 관한 소고

This study aimed to research the present condition of humanistic approach in dance education. It researched cases of approach to dance based on humanities. By examining various cases of humanities encountering and communicating with art in society, humanistic thoughts and approaches in dance education could be identified while clarifying current status of dance humanities. The viewpoint through which revitalization of humanities study should be looked was analyzed even though systematic approach on dance humanities is still at its beginning stage.
Leveraging Twitter Data to understand Sentiments on New Income Tax Reforms in India

The introduction of Goods and Service Tax (GST) was one of the biggest economic reforms in India. It leads to huge debate. Social networking websites provided a platform to general public for sharing their opinion on GST.  The analysis of these opinions to understand the public sentiment will prove helpful for future reforms.   Motivated from this fact, we collected GST related tweets from April 30, 2018 until May 1, 2018 and analyzed their polarity.  We investigated five different classifiers:  Linear Regression, Logistic Regression, Decision Tree, SVM, and Random Forest. For each classifier test runs were conducted using uni-gram and bi-gram feature a combination of both and their performance. The overall maximum accuracy of 94.12% was observed using random forest with a combination of unigram and bigram feature. The performance comparison is done with other existing work on GST. In order to assess the effect of feature combination on other dataset a test run is conducted on open source product review datasets. Random Forest using combination of uni-gram and bi-gram features exhibits better performance than other existing works on the same dataset.