Reviewerly/exHarmony huggingface dataset:
Ontology Based Construction of Bayesian Network

In ontology engineering tasks such as modeling of domain, ontology reasoning and mapping of concepts between ontology, dealing with uncertainty is vital.Bayesian networks are used to determine the likelihood of occurrences affected by different factors.In this paper the concept of ontology to Bayesian network conversion requires the following tasks: i) determining the relevant nodes, ii) relationships between the factors recognized (connections), iii) for each node with in the Bayesian network calculates the CPT's.Bayesian networks can capture and enhance the mixed way interdependence between techniques for ontology mapping.We outline the basic idea behind our approach and show some experiments on upper ontology.Then will focus on probabilistic ontology and their relationship with Bayesian Networks.At last it shows how the uncertainty can be handled by Bayesian network notion.
Repeated-root constacyclic codes of length 6lp^s

<p style='text-indent:20px;'>Let <inline-formula><tex-math id="M2">\begin{document}$ \mathbb{F}_{q} $\end{document}</tex-math></inline-formula> be a finite field with character <inline-formula><tex-math id="M3">\begin{document}$ p $\end{document}</tex-math></inline-formula> and <inline-formula><tex-math id="M4">\begin{document}$ p\neq{3},l\neq{3} $\end{document}</tex-math></inline-formula> be different odd primes. In this paper, we study constacyclic codes of length <inline-formula><tex-math id="M5">\begin{document}$ 6lp^s $\end{document}</tex-math></inline-formula> over finite field <inline-formula><tex-math id="M6">\begin{document}$ \mathbb{F}_{q} $\end{document}</tex-math></inline-formula>. The generator polynomials of all constacyclic codes and their duals are obtained. Moreover, we give the characterization and enumeration of linear complementary dual (LCD) and self-dual constacyclic codes of length <inline-formula><tex-math id="M7">\begin{document}$ 6lp^s $\end{document}</tex-math></inline-formula> over <inline-formula><tex-math id="M8">\begin{document}$ \mathbb{F}_{q} $\end{document}</tex-math></inline-formula>.
Effectiveness of financial market as Economic Development Agents in Africa (2008-2017).

The development in Africa’s financial sector in recent years has been remarkable. Though relatively underexplored and underinvested sector a mere decade ago, today, this sector is considered to be one of the continent’s brightest prospects. This is due to the fact that for some time now, financial sector development has been on front burners in the economic agenda of most African countries. This sector has the potential to transform the lives of millions of people across the continent. Low rate of economic development has created a lot of social stress in Africa, which is responsible for incidence and prevalence of poverty, and consequent social uprisings on a number of occasions. Various studies have examined the role of African financial market development on economic growth, but none have strictly generated a combined focus on the three major African groupings – the Southern, the Western and the Eastern African regions. This paper specifically address this void and it examines the determinant and impact of banking sector and stock market development on Africa’s economic growth and development. Various econometric techniques that include descriptive statistics, unit root tests and OLS were used to analyse data. The study finds out that local financial markets play crucial roles in economic development of Africa, albeit in varying magnitude. The study also observes that banking sector development and economic growth promote stock market development. In addition, this paper finds an interesting result in the fact that trade openness has a negative impact on stock market development, which is different from the findings of many other studies. Financial market size is also strongly related to the size of the economy. This paper has some policy implications. In order to promote banking and stock market development in the region, it is important to encourage savings by appropriate incentives, consider the possibility of one single currency for African countries in order to improve stock market liquidity and develop financial intermediaries. This paper shows an in‐depth analysis of Africa financial markets in order to assess how they can improve and benefit the global investor. In addition, it is found that financial intermediaries and stock markets are complements rather than substitutes in the growth process.
The Effect of Fishbone Diagram on Students’ Writing of Analytical Exposition Text

As writing in English is seemed to be highly demanded in schools, this study was conducted to obtain the empirical evidence of the effect of Fishbone Diagram on students' writing of Analytical Exposition Text.The research design in this study was quasi-experimental design with 64 samples of the eleventh-grade students of SMAN 4 Tangerang Selatan.The samples were taken through purposive sampling technique and classified into two classes; experimental and controlled classes.The controlled class was treated with conventional teaching method without using Fishbone Diagram while the experimental class was treated by using Fishbone Diagram as the tool to enhance their writing.The instrument of the data collection was writing tests which were given as pretests and post-tests.The data collected from this study were analysed using t-test in order to identify the significance level of the results.This study resulted that both classes gained their scores in post-test.However, the experimental class has performed more significant improvement than the controlled class.Thus, it can be concluded that Fishbone Diagram had significant effect on students' writing of Analytical Exposition
Adoption of computer particle swarm optimization algorithm under thermodynamic motion mechanism

In order to improve the stability and sensitivity of particle swarm optimization (PSO) algorithm and to solve the problem of premature convergence, in this re-search, a computer PSO algorithm based on thermodynamic motion mechanism is proposed based on the principle of thermodynamic motion mechanism. Firstly, the thermodynamic motion phenomenon, the diffusion law in kinematics and the standard PSO algorithm are introduced. Then, according to the basic idea of thermodynamic motion mechanism, the standardized PSO algorithm is optimized and its optimization process is introduced. Finally, the experimental results are analysed by setting the test function. The results show that among the five test functions, the computer PSO algorithm based on thermodynamic motion mechanism has a higher probability of jumping out of the local optimal solution. Its robustness and stability are much better than standard PSO algorithms. The evolution ability of the computer PSO algorithm based on thermodynamic motion mechanism is better than that of the standard PSO algorithm. The standard PSO algorithm is superior because it is based on thermodynamic motion mechanism. The research in this paper can provide good guidance for improving the performance of PSO algorithm.
CREATING AN ENGLISH MATERIALS IN ORAL DISCOURSE ASPECT FOR THE TAXI DRIVERS

This research was concerned in creating an English material in oral discourse aspect for the Taxi Drivers. The research conducted based on the problems faced by the taxi drivers in the tourism object which need English as a main language in communicating with the international passenger. The improvement in English skill especially in oral discourse for the taxi drivers was aimed to provide a better service in their job which runs in tourism field. The method used in conducting the research consists of three steps; they are chose the data source, collect the data, and analyse the data. The data was taken by doing the interview and spread the questionnaire to the taxi drivers in Sanur. The material selection was done by selecting the most difficult aspect that the drivers thought in learning English especially in oral discourse aspect. The analysed data provide the basis in creating an English material for the drivers. The theory applied in this research are theory of Hutchinson and Waters in their book entitled English for Specific purpose (1987) as the main theory and the theory of Van Dijk (1993) in his book entitled Principles od Discourse analysis and Searle, J. R. (1696) in her book entitled Speech Acts, an essay in the philosophy of language as supporting theories. As the result, the English materials was created based on Hutchinson and Waters theory which consists of input, content focus, language focus and task. Those model of learning was the most suitable to the taxi driver seen from the layout and also the English material has more specific material organization by applied this model.
Penggunaan Metode Ceramah Variasi Yang Disertai Kemampuan Orientasi Terhadap Peningkatan Kualitas Pembelajaran Ekonomi Siswa Kelas X - 8 SMAN 1 Paciran Lamongan

Abstract: Based on&#x0D; teacher observations identified that students of class X&#x0D; -&#x0D; 8 SMAN 1 Paciran Lamongan in receiving subject matter from teachers in&#x0D; general are still unclear or vague, so the following problems are formulated: Is&#x0D; there any influence of using the variety lectur&#x0D; e method accompanied by the ability&#x0D; of orientation towards learning outcomes Economics of class X&#x0D; -&#x0D; 8 students of&#x0D; SMAN 1 Paciran Lamongan in clarifying understanding about something and to&#x0D; prevent verbalism?&#x0D; The purpose of this class action research aims to&#x0D; familiarize the teacher in&#x0D; presenting economic subject material with variety lecture methods so that&#x0D; students are able to develop special attitudes and skills by thinking critically and&#x0D; creatively in seeing human relationships with the surrounding environm&#x0D; ent.&#x0D; The research took place at SMAN 1 Paciran Lamongan, the activity began with&#x0D; preparations to form 3 groups. Action research planning in each cycle is&#x0D; arranged together based on the observations and reflections of the teacher. Each&#x0D; cycle includes the st&#x0D; ages of observation and action and development planning.&#x0D; The conclusion of the above discussion is (I) Conventional methods in&#x0D; CAR in the field of Economics less influence students to further improve their&#x0D; learning outcomes, (2) Every class action using th&#x0D; e lecture method variations&#x0D; accompanied by orientation can foster students' courage to understand, make&#x0D; examples that are almost similar to those in the reading, as well as the ability to&#x0D; ask questions compared to using conventional methods, (3) The acquis&#x0D; ition of&#x0D; group student learning outcomes taught using the lecture method variations&#x0D; accompanied by better orientation than the group of students who are taught&#x0D; conventionally.&#x0D;
İkincil Dilde Akademik Yazarların Açımlama Süreçlerinin İncelenmesi

Paraphrasing is an essential component of academic writing to transform knowledge and avoid plagiarism.This study aimed to determine the misconception phenomena regarding paraphrase, L2 writers' background knowledge, and paraphrasing strategies through a writing task.A paraphrase task in English was conducted to 105 L2 writers and the paraphrased texts were analyzed to see the strengths and weaknesses of these products.Reflection notes were the other data collection tools.Results showed that L2 writers perceive paraphrasing as replacing some of the words by their synonyms with little syntactical modifications.Some of the participants suggested adding some personal views when paraphrasing.
Propagating Asymptotic-Estimated Gradients for Low Bitwidth Quantized Neural Networks

The quantized neural networks (QNNs) can be useful for neural network acceleration and compression, but during the training process they pose a challenge: how to propagate the gradient of loss function through the graph flow with a derivative of 0 almost everywhere. In response to this non-differentiable situation, we propose a novel Asymptotic-Quantized Estimator (AQE) to estimate the gradient. In particular, during back-propagation, the graph that relates inputs to output remains smoothness and differentiability. At the end of training, the weights and activations have been quantized to low-precision because of the asymptotic behaviour of AQE. Meanwhile, we propose a M-bit Inputs and N-bit Weights Network (MINW-Net) trained by AQE, a quantized neural network with 1-3 bits weights and activations. In the inference phase, we can use XNOR or SHIFT operations instead of convolution operations to accelerate the MINW-Net. Our experiments on CIFAR datasets demonstrate that our AQE is well defined, and the QNNs with AQE perform better than that with Straight-Through Estimator (STE). For example, in the case of the same ConvNet that has 1-bit weights and activations, our MINW-Net with AQE can achieve a prediction accuracy 1.5% higher than the Binarized Neural Network (BNN) with STE. The MINW-Net, which is trained from scratch by AQE, can achieve comparable classification accuracy as 32-bit counterparts on CIFAR test sets. Extensive experimental results on ImageNet dataset show great superiority of the proposed AQE and our MINW-Net achieves comparable results with other state-of-the-art QNNs.
Password Less Authentication

Background/objectives: Passwordless authentication is one of the most highlighted developments.It has gained much attention recently.Methods/findings: Social media and use of internet has been growing day by day, which further needs the security of that level.Security is an important part of the internet world.It is a huge responsibility to provide a level of security for each user.In this study, we aim to a general process of passwordless authentication, we explore some real life cases for a better view of the topic as well as we introduce the techniques of passwordless authentication and the biometric authentication like fingerprint sensors, face recognition, iris recognition, etc. Improvements/applications: This initiative, which includes many methods of overcoming the flaws of attacks done by hackers.These authentication techniques are adopted by many companies and are used in android smartphones and many more.
Using Fully Convolutional Networks for Floor Area Detection

Most mobile robots use visual images to obtain information about the surrounding environment and the nonlinear diffusion method to detect candidate areas of the floor, but they could not be applied to more complicated environments.In this study, a hybrid of fully convolutional networks (FCNs) and fuzzy integral is proposed for detecting the position of the floor and nonfloor from visual images.FCN is an end-to-end, pixels-to-pixels network for semantic segmentation.Semantic segmentation aims to perform dense segmentation tasks on images and segments each pixel to a specified category.To overcome the majority decision drawback in the traditional voting method and increase the accuracy, the fuzzy integral is used for the fusion of multiple FCNs with various optimal methods.The overall accuracy, mean accuracy, and mean intersection over union (MIoU) of the proposed method are 0.9824, 0.9816, and 0.9577, respectively.The experimental results show that the proposed hybrid method has better accuracy than other methods in identifying the location of the floor area.
Smart Home Security Menggunakan Face Recognition Dengan Metode Eigenface Berbasis Raspberry Pi

One of the biometric technologies that have been implemented in many security systems besides retinal recognition, fingerprint recognition and iris is facial recognition. On the hardware side itself, face recognition (Face Recognition) uses a camera to capture a person's face then compared to the previous face that has been stored in a particular database. There are several methods of facial recognition, namely neural networks, artificial neural networks, adaptive neuro fuzzy, and eigenface. Specifically in this study the method to be explained is the eigenface method. Specifically in this study the method that will be explained is the eigenface method, and uses a web cam to capture images in real time. The advantage of this method is that the computation is very fast and simple compared to the use of methods that require a lot of learning, such as artificial network requirements. Broadly speaking, the process of this application is the camera to capture faces, then an RGB value is obtained. Using the initial processing, resize, RGB to Grayscale, and histogram equalization for light alignment. The eigenface method functions to calculate the eigenvalue, and the eigenvector that will be used as a feature in making recognition. From the experiments and tests carried out, the tool can recognize facial images with a success rate of up to 90% at a distance of 25 cm with an average success of 72.5%. This proves this tool is quite good in face recognition.
libpmem: Low-Level Persistent Memory Support

This chapter introduces libpmem, one of the smallest libraries in PMDK. This C library is very low level, dealing with things like CPU instructions related to persistent memory, optimal ways to copy data to persistence, and file mapping. Programmers who only want completely raw access to persistent memory, without libraries to provide allocators or transactions, will likely want to use libpmem as a basis for their development.
Investigation and Thinking on the Information Construction of South China University of Technology

Abstract In order to better understand and improve the information construction of our university, further strengthen the network security and informationization work, and improve the quality of service, the network center conducted investigation on information construction and satisfaction of the university. Based on the statistics of the survey results and other related data support, we try to investigate and research the status quo of information construction in the university, explore the application of information technology in the whole university teaching, research, management and campus life, and analyse its practical application effects. Finally, it will provide reference and direction for the future work of the network center.
NETWORKED PROFESSIONAL LEARNING: THE INFLUENCE ON UNIVERSITY TEACHERS’ SELF-EFFICACY TO CREATE A POSITIVE UNIVERSITY CLIMATE

The aim of this study is to evaluate the influence of networked professional learning on university teachers’ self-efficacy to create a positive university climate. The study also provides, on the one hand, the theoretical overview of the scientific papers by Ukrainian and foreign scholars related to clarifying the understanding of the research leading concepts of “networked professional learning” and “informal learning” in scientific literature and, on the other hand, empirical research into the influence of networked professional learning on university teachers’ self-efficacy to create a positive university climate. The experimental research was conducted in two stages. During the first stage of research a total of 267 university teachers who volunteered to participate in the research were interviewed for eliciting information concerning their participation activity rate in specially focused network pedagogical communities. During the second stage 108 university teachers selected from the total population by homogeneous sampling completed a questionnaire on teacher self-efficacy developed by A. Bandura. Although the findings of the study show that not all university teachers believe that there is a clear link between networked professional learning and high level of university teachers’ self-efficacy, the majority of respondents recognize the increasing influence of informal learning in general and networked professional learning in particular on their professional growth. For understanding the research leading concepts and interpreting obtained findings methods of scientific literature analysis and mathematical statistics were used.
Topic Extraction of Crawled Documents Collection using Correlated Topic Model in Mapreduce Framework

The tremendous increase in the amount of available research documents impels researchers to propose topic models to extract the latent semantic themes of a documents collection.However, how to extract the hidden topics of the documents collection has become a crucial task for many topic model applications.Moreover, conventional topic modeling approaches suffer from the scalability problem when the size of documents collection increases.In this paper, the Correlated Topic Model with variational Expectation-Maximization algorithm is implemented in MapReduce framework to solve the scalability problem.The proposed approach utilizes the dataset crawled from the public digital library.In addition, the full-texts of the crawled documents are analysed to enhance the accuracy of MapReduce CTM.The experiments are conducted to demonstrate the performance of the proposed algorithm.From the evaluation, the proposed approach has a comparable performance in terms of topic coherences with LDA implemented in MapReduce framework.
The Practice of Assessing the Quality of Student Education: Perspectives from Finland, Canada, and Hong Kong

Critically reviewing the national systems for assessing the quality of education in Finland, Canada, and Hong Kong, the authors consider key issues related to the regulation of quality assessment of general education. The purpose of the study is to analyze foreign practices in the quality assessment regulation (general education) existing in the leading countries in the National Systems Performance Rating. Using the method of content analysis of normative documents, the authors determine the main features of the systems for assessing the quality of general education. They also identify the principles and approaches to assessing the quality of education in the studied countries, which have differences and depend on the goals and objectives of the program that defines the development strategy of the general country-specific education. The authors conclude that the quality assessment focused on the general education is the main criterion for the effectiveness of the functioning and development of the education system in the countries under analysis, and this is reflected in government programs that regulate activities in the field of education. The research also clearly shows that Finland and Canada use softer levers of education management, which give educational institutions more freedom. While in Hong Kong, more “tough” ones are used. In particular, Hong Kong relies on strictly regulated standards and procedures for ensuring the quality of education. The authors state that the practice of regulating the assessment of the quality of education in the studied countries should be taken into account in the development of regulatory and instructive documents governing activities to assess the quality of general education in the Russian Federation.