Reviewerly/exHarmony huggingface dataset:
Writing Lyrics in English to An Indigenous Iban Song-Towards The Efficacy of Culturally Responsive Pedagogy

The main purpose of this study was to examine the use of Indigenous Iban song in enhancing the level 2 pupils’ writing skills. Culturally responsive pedagogy is a progressive approach that shapes the future learning process This research was conducted in a rural school of the Limbang district in Sarawak. The participants of this research comprised of 20 pupils from Year 4 until Year 6. Year 6 pupils were included as they were not sitting for UPSR due to Pandemic. Action Research with the model Kemmis &amp; McTaggart employed in this study. The findings from the questionnaires indicated a high level of agreement from the participants on implementation of writing lyrics in English to an indigenous Iban song.
DESIGN OF THE TIME MANAGEMENT SKILLS ACQUISITION SYSTEM USING LEARNING ANALYTICS

Learning skills include abilities, habits, understanding, and attitudes which are utilized to achieve learning.Students will not achieve good grades unless they properly manage their limited study time.However, it is not easy for them to organize their own study time and learn how to use it efficiently.Notably, learning analytics has not been used in previous research for time management.Learning analytics provides students with accurate data that they can use to manage their study time.Therefore, in this study, we designed a system based on a learning analytics approach with functions that allow students to make their own learning schedules and reflect on their learning behaviors.The system has visualization, calendars, and reflection functions, which are used by both students and their instructors.
Development of an Interactive Role Play Game (RPG) to Improve Early Childhood Digital Literacy

Children's social-emotional abilities are influenced by parenting styles. Children with democratic parenting tend to be able to express their emotions appropriately and recognize the emotions of their friends. This research aims to develop the interactive games for early childhood. The method used i
The role and importance of innovative software and didactic complexes in increasing the effectiveness of training

The article analyzes the problems of implementation and development of modern information and communication technologies in the education system, discusses the role and importance of innovative software and didactic complexes in increasing the effectiveness of education. An innovative software-didactic complex of a certain science and its components is presented. It is also based on the fact that the innovative software and didactic complex of the subject as a methodological system is a teaching tool that ensures the perfection and integrity of didactic material.
The Satisfaction of The Users of The Library Ban Romklao School Under The Office of The District School Phitsanulok Area 3

Abstract This study aimed to study 1) to study the satisfaction of service users of Baan Rom Klao School Library.Under the Phitsanulok Primary Educational Service Area Office 3 and 2) to compare the level of opinions on theuser satisfaction of the Ban Rom Klao School library. The samples were teachers, students at the secondary level.Baan Rom Klao School The sample size was calculated based on the Taro Yamane ready-made tables of 139people by Stratified Sampling. The tool used in this research was used to calculate the sample size. As aquestionnaire The statistics used for data analysis were frequency, percentage, mean, standard deviation, t-Test,F-Test, one-way analysis of variance. The results of the research on user satisfaction of Ban Rom Klao School Library were in the medium level(X = 3.41). The highest average was (X = 3.64), followed by the reliability of the service. Physical characteristicsLocation and environment And on access to information resources, respectively. The comparison of opinions onthe satisfaction of the users of the Ban Romklao School library found that sex and access to information resourceswere statistically significant at the .05 level. Education level Not significantly different. Keywords: Satisfaction, Users, Library, Ban Romklao School, Office of The District School Phitsanulok Area 3
Quality and effectiveness for design of learning outcomes in the language teaching

In this article was discusses the subject of pedagogical experience, describes the goals, objectives, and the analysis of the experience of the pedagogical experience, and analyzes its outcomes, in order to substantiate the peculiarities of the creative work of pupils in the mother tongue education. The main purpose of designing the creative activity of pupils in mother tongue education is to improve the quality of education and improve their quality. When and how to design the creativity ofpupils in their mother tongue education provides the desired pedagogical effect? Responding to this question requires a combination of educational types, including interpreting illustrated-visual education and creative learning.
A Sparse Deep Linear Discriminative Analysis using Sparse Evolutionary Training

Deep Linear Discriminative Analysis (DeepLDA) is an effective feature learning method that combines LDA with deep neural network. The core of DeepLDA is putting a LDA based loss function on the top of deep neural network, which is constructed by fully-connected layers. Generally speaking, fully-connected layers will lead to a large consumption of computing resource. What’s more, capacity of the deep neural network may too large to fit training data properly when fully-connected layers are used. Thus, performance of DeepLDA may be improved by increasing sparsity of the deep neural network. In this paper, a sparse training strategy is exploited to train DeepLDA. Dense layers in DeepLDA are replaced by a Erdös-Rényi random graph based sparse topology first. Then, sparse evolutionary training (SET) strategy is employed to train DeepLDA. Preliminary experiments show that DeepLDA trained with SET strategy outperforms DeepLDA trained with fully-connected layers on MINST classification task.
LibGuides: Digital Collections: Home

These collections of digitized State Library of Pennsylvania materials are freely available to all visitors.
INNOVATIVE TECHNOLOGIES IN TEACHING THE EDUCATIONAL DISCIPLINE LAW

The article discusses the features of teaching the academic discipline "Law". The role and significance of law in the educational process, the main goals, objectives and learning outcomes are revealed. Highlighted the fundamental problems of the content of the main topics of the discipline. It is concluded that in the process of studying the discipline "Law" a competency-based approach of students to professional activities is formed. This is facilitated by educational technologies that provide for the widespread use of active and interactive forms of conducting classes. Methodological recommendations are proposed for their study using active and interactive teaching methods, in particular, the case method
Interval-valued Fuzzy SA-ideals with Degree (λ,κ) of SA-algebra

Abstract In this paper, the notion of interval-valued fuzzy SA -ideals (briefly i-v fuzzy SA -ideal) in SA -algebras is introduced. Several theorems are stated and proved. The image and inverse image of i-v fuzzy SA -ideals are defined and how the homomorphic images and inverse images of i-v fuzzy SA -ideals become i-v fuzzy SA -ideals in SA -algebras is studied as well.
Bevisvärdering vid våldtäkt - en analys av balkongmetodens tillämpning i våldtäktsmål

In the Code of Judicial Procedure, the free examination of evidence is stipulated as a principle where all evidence that the parties can obtain is permissible and the value of that evidence is examined freely. The fact that the examination of evidence must be free means that the court is not bound by any legal rules or norms. However, the Supreme Court has developed a method of reviewing evidence that has developed and is applied mainly in rape cases. In NJA 2015 p. 702, the Supreme Court describes its method, to which they state that it must be applied with caution and discernment. Although the method has developed as a general model for the examination of evidence, it is not without shortcomings. Despite these shortcomings, the lower court instances do not prevent the frequent application of the method.In rape cases, the evidence often places great focus on the parties' stories. The practice that has developed in rape cases in recent times has largely dealt with a statement analysis that aimed to show the strengths and weaknesses of a statement. And thus, assess with certain criteria whether this indicates if it is true or not. Through the recent amendment to the law, rape has also shifted its focus from presenting evidence about what was previously the course of action to rape, violence and threats, to revolving around volunteering. Since the necessary prerequisite have changed and thus the legal fact, a natural consequence would thus be that the evidentiary fact changes. Whether this is the consequence that has taken place in practice will be discussed in the essay.The essay aims to shed light on the application of the balconymethod in rape cases – and discuss its strengths and weaknesses. Furthermore, a number of legal cases were raised to clarify how the method is applied in practice. There are already methods of evaluating evidence, but these have not gained the same significance as the balcony method. The hypothesis method that Christian Diesen was an advocate for is also a third method that is still relevant as it has its starting point in the evidentiary requirement in criminal cases - beyond reasonable doubt. An important distinction is made as the balcony method is rather a flow chart and not a method in the same sense as the previous “pure” evidence evaluation methods.
Double Chain Blockchain Based on Improved Virginia Algorithm

Abstract As more and more people accept Bitcoin, block chain technology has received extensive attention and research. Block chain is a decentralized open dean technology that combines data blocks with the chain structure in chronological order, and combines encryption, protocol mechanisms, and smart contracts. Block chain technology has the characteristics of decentralization, high security, difficult information tampering, traceability, and transparency. Therefore, more and more companies and institutions are focusing on block chain technology research. In the wide application of block chain technology, the current centralized transaction model of e-commerce has gradually exposed some problems, such as the obvious monopoly trend of third-party platforms caused by the excessive central power, the difficulty of cross-border transactions, and the insecurity of user privacy information. Difficulties in accountability for transaction disputes, numerous phishing websites, and proliferation of fakes. Moreover, the current block chain transactions lack legal supervision and protection, transaction efficiency is low, smart contract functions are limited and difficult to understand, and block chain is highly professional and difficult to be accepted by the general public. Based on this, this article proposes a product anti-counterfeiting traceability system using a dual-chain block chain based on an improved Virginia algorithm, analyzes the security of the traceability system, and verifies the feasibility of the system through simulation experiments. The further combination of chain block chain technology and product security field provides reference and reference.
Explainable-by-design Deep Learning

MACHINE and AI justifiably attract the attention and interest not only of the wider scientific community and industry, but also society and policy makers. However, even the most powerful (in terms of accuracy) algorithms such as deep learning (DL) can give a wrong output, which may be fatal. Due to the opaque and cumbersome model structure used by DL, some authors started to talk about a dystopian “black box” society. Despite the success in this area, the way computers learn is still principally different from the way people acquire new knowledge, recognise objects and make decisions.
El currículo como herramienta fundamental en la formación de los docentes universitarios

The curriculum must be a fundamental tool for the formation of the University Teacher in the XXI century, in any educational system structured with a high sense of efficiency and competitiveness it is necessary that the curriculum exists, as a logical, orderly and highly guiding process, that the objectives proposed in their approaches achieve the expected results in learning, therefore it is essential that teachers actively participate in their design, implementation, permanent evaluation, that they always follow their guidelines, that they are guarantors and always preserve their strict compliance, by all those who generate teaching from all possible points of view of knowledge. When an official curriculum is created, without consensus and only with the objective of fulfilling an institutional task, the proposed results are little fulfilled, since the teacher due to ignorance (on some occasions), of what is proposed in the curriculum, is inclined towards other alternatives and personal initiatives and there its essence and the identity of university thought are lost, so in this way it is understood that the way to know a curriculum is to know it from its essence, it is by knowing it throughout its process, therefore it is essential that the teacher university be a privileged actor in its preparation.
LibGuides: PY 230 - Criminal Psychology: DeLuca: Books and DVDs

This guide is designed to help students locate resources to successfully complete their research project on a serial killer.
Algebraic List Decoding of Elliptic Codes Through Module Basis Reduction

Elliptic codes is an important class of algebraic-geometric (AG) codes due to their least genus penalty. Their codeword length can exceed that of Reed-Solomon (RS) codes defined over the same finite field, resulting in a greater error-correction capability. This paper proposes the module basis reduction (BR) technique for solving the interpolation problem in algebraic list decoding (ALD) of one-point elliptic codes. A basis of the module that satisfies all interpolation constrains can be constructed by defining the explicit Lagrange interpolation function over the elliptic function field. They lead to the generators for the module basis. The basis can be further reduced to the desired Grobner basis which contains the minimum interpolation polynomial Q(x, y, z). Compared with Koetter’s interpolation, the BR interpolation technique significantly reduces the complexity in finding Q(x, y, z). Our analysis shows the BR interpolation complexity will reduce as the code rate increases.
Permutation invariant networks to learn Wasserstein metrics

Understanding the space of probability measures on a metric space equipped with a Wasserstein distance is one of the fundamental questions in mathematical analysis. The Wasserstein metric has received a lot of attention in the machine learning community especially for its principled way of comparing distributions. In this work, we use a permutation invariant network to map samples from probability measures into a low-dimensional space such that the Euclidean distance between the encoded samples reflects the Wasserstein distance between probability measures. We show that our network can generalize to correctly compute distances between unseen densities. We also show that these networks can learn the first and the second moments of probability distributions.
Quantum Key Distribution in softwarised networks

Quantum Key Distribution (QKD) is a rising field of research that aims at solving a very common problem in computer security: the problem of cryptographic key exchange. Nowadays, key distribution problem is solved leveraging algorithms that allow to dynamically generate common secrets starting from shared information. For these algorithms security lies in the difficulty for an adversary to compute mathematical operations needed to recover the generated secret. Nevertheless, advent of quantum computers represents a huge concern for classical security, since it has been proved capable of solving these operations in polynomial time. QKD represents a possible solution to this problem, since it allows to exchange keys between two distant parties in a way that is considered secure against both classical and quantum attacks. Recent studies focus their attention on protocols and technologies needed to improve QKD between two parties, with little attention to practical integration in real contexts. This work proposes a different approach: QKD is here used in a softwarised network in order to be accessed from different security services or applications that may need it. The goal of this work is to outline main challenges that need to be faced when distributing QKD as a service for multiple clients. A QKD simulator has been developed to understand limits and characteristics of different protocols in such an environment. On the top of it, QKD ETSI standard has been implemented in order to realise a key server capable of distributing quantum distributed keys to different clients. The proposed work provides a new perspective, in which QKD can be used in cloud environments without taking care about the implementation complexity that it carries with it. Moreover, it outlines criticalities and challenges that needs to be faced in order to integrate QKD in such a systems.
UAV Aerial Image Detection Based on Improved FCOS Algorithm

In order to solve the problem of small target detection in large-scale aerial images, on the basis of FCOS detection framework, the feature fusion layer and the problem of positive and negative sample balance are improved. GIOU is used to improve the loss function, the training scale is modified and multi-scale training strategy is used. At the same time, because the pre-selection box is not used, the training parameter adjustment time is greatly reduced, and the reasoning speed is improved under the condition of maintaining the accuracy. Under the same conditions, compared with the original FCOS, the accuracy of the improved FCOS is improved by about 6% and the speed is improved by 3 FPS.
RANCANG BANGUN APLIKASI AUGMENTED REALITY DENGAN METODE MARKERLESS BERBASIS ANDROID SEBAGAI MEDIA PROMOSI PARIWISATA DI KOTA TASIKMALAYASTUDI KASUS TAMAN WISATA KARANG RESIK

Most of tourism media promotion sites still use print media and social media, both of them are mostly in written form. To find out the information written, the user must read first so that information is delivered. Meanwhile, statistical data from UNESCO (United Nations Educational, Scientific and Cultural Organization) shows that Indonesian people have a low interest in reading which is ranked 60 out of 61 countries (Iswari, 2017). To overcome these problems, an application with augmented reality technology was made. According to Kurniawan Chandra Rahardja (Bayuaji, 2015), CEO of PT Interactive Indonesia Pratama, augmented reality technology is believed to change the dynamics of marketing with increasingly sophisticated and tangible tools, with a very broad application in various lines of business and industry.The purpose of the research is to design, build and testing the feasibility of the AR Aplication as a media promotion for the Karang Resik tourism park. In designing and building this application, it takes photos, layout, and the description of the vehicle. To process the data needed software namely blender and unity 2019. This AR application uses the markerless method, and the operating system used is the Android-based operating system, then for the application development method using the waterfall method. In this research, authors tested the application's feasibility level with the ISO 25010 testing method which consists of four aspects of testing, namely functional conformance testing with 100% results, compatibility testing with application results that can be run on 10 devices from 10 different devices. Testing the performance efficiency consists of three aspects with the results of which the thread access speed is an average of 77.5 seconds and an average CPU consumption of 11.3% and an average memory consumption of 532.1 mb, and usability testing with an average total result of 81%.
Indonesian Students’ Comprehension Of The French Articles (Les Articles): The Case Of Manado State University French Language Education Program

In French language, articles play an important role and one of the basic French skills is mastery of article usage. The objective of this study is to describe students’ performance and mastery of French articles. The research used descriptive research method. Data of the study were obtained by giving written tests of French language articles to French Language Education Program students enrolled in the 2018/2019 school year. The research instrument consisted of questions in the form of loose questions and questions in the form of text / short discourse. Data analysis used descriptive statistics analysis. Study result shows that students’ mastery of French article is quite low (Mean=48.28). However, there is difference in performance of each article type. Mastery of definite article is the highest (Mean=60.78)Keywords: definite article; indefinite article; partitive article; performance; mastery
LibGuides: Human Resource Management: Interlibrary Loan

Library resources guide for the Human Resource Management B.S.B.A. at Saint Joseph's College of Maine
Consumer Opinion Extraction Using Text Mining for Product Recommendations On E-Commerce

This study aims to evaluate consumer opinions in text form on e-commerce to determine the accuracy of ratings given by consumers with opinions using text mining with the lexicon approach. The research data was obtained online using a crawling technique using the API provided by Shopee. The conditions of diverse opinions and use of non-standard words are challenges in processing opinions. Opinion must be processed normalization and repairs using dictionary of words before going to extract using lexicon approach. Dictionary of words contain opinions with weights that are worth 1 to 5 for positive opinions and are worth -1 to -5 for negative opinions. For each opinion will be classified using the maximum ratio of the weight of positive opinion compared to the weight of negative opinion. The classification of opinion produced is positive, negative or neutral. Opinion classification is then compared with the rating classification to work out the extent of accuracy. The comparison produces an accuracy of 80.34% by completing an opinion dictionary.