Reviewerly/exHarmony huggingface dataset:
Ações de mediação da informação no arquivo e na biblioteca universitária: a busca pela participação ativa dos usuários

The archivist and the librarian, as mediators of information, act, construct and interfere in the support to the users and in their formation in the search, access, use and appropriation of the information. The general objective of this research was to analyze how the actions of mediation and information and knowledge management developed in the Bernadete Sinay Neves Library and the Arlindo Coelho Fragoso Memorial of the Universidade Federal da Bahia can attract and strengthen ties with the users, so that these actions can also be deployed and / or reflected in the communication devices, in order to generate greater approximation with the user. Methodology : this descriptive research, which had the case study method, applied online questionnaires to the managers, students and researchers who work and / or frequent the environments. Conclusion : The relevance of the expansion of the services and products developed by the Library and in the Memorial, as well as the improvement of the information mediation actions already developed in order to measure satisfaction and respond to users' expectations is confirmed.
A Evaluation Model about Development Strategy of Fishery Companies Based on AHP Method

Changes in ocean temperature are closely related to the growth and reproduction of marine life, and also affect the development of fisheries.With the rise of the ocean temperature, the migration of Scottish herring and mackerel has had a significant impact on the development of the Scottish fishing economy and fishing companies.This article will use the Analytic Hierarchy Process (AHP) to establish a practical economic strategy evaluation model for the future development of the Scottish fishing companies, and then provide some reasonable suggestions.
La pedagogía en las TIC en el proceso enseñanza-aprendizaje del idioma inglés

Education has a great support in technology, in this field it must find what generates the best results. The current work aims to analyze the influence of pedagogy on ICT’s, especially in the most commonly applications used in the teaching and learning of the English language. Through the bibliographical review and the results obtained, the incompatibility of certain pedagogical models with the communicational approach in the teaching of English is concluded; also, that the ICT’s are better suited to this approach, but it depends mainly on who uses them and from whom learns.
A Low Complex Selective Block Correlation for Video Frame Interpolation

This paper presents a new frame interpolation technique based on correlation between non overlapping macro blocks.The proposed algorithm generates correlation values and identifies the median value as threshold amongst them.The blocks with correlation less than threshold are linearly interpolated.By linear interpolation between blocks reduces artifacts due to occlusions and holes caused by Motion Vector (MV) processing.Our algorithm decreases the computational complexity to minimum.Experimental results demonstrate that our proposed algorithm performs well in terms of SSIM and computational complexity compared to existing algorithms.
Research on Signal Processing Algorithm of Step Excitation Electromagnetic Flowmeter Based on Slurry Noise Analysis

Electromagnetic flowmeter will be interfered by slurry noise during slurry measurement. This paper analyzes the randomness and 1/f characteristics of slurry noise, and studies the influence of flow rate, sand-to-water mass ratio and excitation frequency on slurry noise characteristics. In order to reduce the influence of slurry noise, this paper compares and analyzes several smoothing filtering algorithms of slurry flow signal based on step excitation electromagnetic flowmeter. Through flow measurement experimental device, the comparative experiment of steady-state volatility and dynamic response speed of different algorithms has been carried out. Experiments show that moving average median smoothing algorithm has the best comprehensive filtering performance.
LibGuides: Remote Learning Resources: Magazines

These sites can be accessed during our time of digital learning. Authors, publishers, museums, and companies have given permission and access to use these links for remote learning.
A Study on Puzzle Game-based Learning Content for Understanding Mandala

This study proposes the development of ‘Mandala 37’, a puzzle game based content that learns the principles of 37 Honored Ones within the Diamond World Mandala. The proposed game is a new type of learning content that combines the development process of 37 Honored Ones with the characteristics of the puzzle game. It aims to increase the understanding of Buddhist content by inducing learners' interest and increasing their concentration. Learners can learn and understand the principles of the emergence of 37 Honored Ones naturally through the rules of the game. This study introduces the implementation process of the proposed game and explains how learners perceive the principle of 37 Honored Ones within the Diamond World Mandala through the game.
아들러 독서교육론의 현대적 의의

Adler emphasized individual political participation and responsibility in order to realize an ideal society where freedom, equality and values of justice coexist. In his view, the prosperity of a democratic society depended on the individual''s capacity to make up the society. But the pragmatism and materialism prevalent in society at the time made the individuals pay attention only to immediate interests or advancement, rather than pursuing universal values. Therefore, he regarded liberal education for all people as the most urgent task. Adler emphasized reading education as a method of liberal education. By reading, he believed that the learner could understand ‘great ideas’ and expand the breadth and depth of their understanding of the world, and cultivate wisdom. Adler''s theory of reading education has three modern significances. First, reading helps modern people enjoy leisure. Leisure never means labor or play. The essence of leisure is to develop intellectual and moral excellence. Secondly, by reading, every citizen of a democratic society should continue to study the humanities as the ‘transcendental form’. The purpose of learning the humanities should not be to acquire professional knowledge but to expand the breadth and depth of understanding of great ideas and the world. Thirdly, reading education should be aimed at forming political wisdom to present right direction of life. Political wisdom means raising society''s public intelligence based on individual intelligence to the level of wisdom. In a democratic society, political wisdom is important because it gives authority to all political decisions. To overcome the negative effects of pragmatism and materialism, the importance of reading education should be emphasizes more. Even though time goes by, reading still holds an important position as a way of liberal education. In short, reading education for humanities has important significance in two categories. First of all, in personal terms, reading humanities as a way of lifelong learning contributes to lead a happy life for every individual by enjoying leisure. Furthermore, in terms of social community, it makes an important contribution to achieving the harmony and prosperity of citizens by forming the political wisdom to make the best judgment and decision in the various opinions flooding democratic society.
Importance of Smart Channel for National Statistics and Information in the Context of Sultanate of Oman

The National Center for Statistics and Information (NCSI) in Oman was established in accordance to the Royal Decree 31/2012 affiliated to the Supreme Council for Planning. It is one of the most important sources for the development and sustainability of Oman's economy and is one of the entities, which have an information bank that helps to create Oman’s strategic plan. Most of this information is being used by high-level planners, which include governments, semi governments, and private sectors through the portal and other media sources. However, the majority of the information in terms of statistics is made available to the public through newspapers and magazines. This research paper focuses on the need for developing an information system channel through which NCSI can communicate and pass its information to every individual in the Sultanate of Oman with ease. Some information is required for study at the school level as well and thus, by considering various HCI (human-computer interaction) principles, the authors will be proposing a framework for a new electronic platform, which will be based on interactive media platform, which could be made available on Smart devices as well. This will increase the scope of this research and the outcomes will benefit the majority of the people. The need for the proposed system is evaluated through a survey and the outcomes are analyzed. It was found that the majority of the participants do not have clear information about various services and data provided by NCSI. Further, it was noted that most of the participants agreed that such an e-channel would facilitate to receive various statistics on a timely basis. This research would also include the study of similar systems in other countries and provide recommendations to design an effective framework.
Enriching Product Catalogs with User Opinions

A large number of opinions on products and their features are posted every day on e-commerce websites in user reviews. They are a valuable source of knowledge for both manufacturers and customers. However, reviews often bring so much information that exceeds the human capacity of reasoning and hampers their effective use. Thus, researchers on how to organize a large number of opinions available on the reviews in the Web play a substantial role. Traditional summarization methods group opinions around aspects, but they tend to generate too many aspects groups that are generic and difficult to interpret. We claim that the most important characteristics of the products correspond to the attributes in product catalogs. Thus, these attributes should guide the process of organizing opinions. This paper presents a summary of an approach called OpinionLink, based on machine-learning techniques, to enrich a product catalog with opinions extracted from product reviews. The experimental results demonstrate the effectiveness of the proposed approach.
PENGARUH METODE PEMBELAJARAN BERBASIS MASALAH TERHADAP KEMAMPUAN MENULIS PUISI SISWA KELAS X SMA PERSIAPAN AEK NABARA TAHUN PELAJARAN 2019/2020

The problem in this study is whether there is an influence of problem-based learning methods on the ability to write poetry grade X students SMA Aek Nabara year of learning 2019/2020?. The purpose in this study was to describe the influence of problem-based learning methods on the ability to write poetry grade X students SMA Aek Nabara Preparatory Year 2019/2020 learning. The method used in the research is the quasi experiment method to find data on whether there is a difference between the two groups. This method is used to observe the influence of problem-based learning (PBM) methods on student poetry writing skills. Therefore, the experiment group was tested with PBM methods while the control group was in test with conventional methods. The population in this study was a grade X student of Aek Nabara High School preparatory year 2019/2020 learning amounting to 110 people with a sample of 72 students, then the samples were divided into two groups, namely the group of experiments and control groups that numbered 36 people each. The instrument used in data collection is a test essay, where students are told to write poetry according to the criteria that had been described by previous researchers. The results showed that there was an influence of problem-based learning (PBM) methods on the ability to write poetry grade X students SMA Aek Nabara year lesson 2019/2020. From the comparative calculation of a significant standard value = 0.05 with DK 36-2, obtained a value of T 0.05 (34) between 2.021-2,000, the value of Thitung > This (16.80 > 2,021 – 20,000). This means an alternative hypothesis is acceptable. Thus a problem-based learning method can improve the writing ability of poetry students grade X SMA Prep Aek Nabara year lesson 2019/2020.
Library Guides: Data Curation: Transforming Data

This guide aims to help researchers through the data curation process at any stage in a projects lifecycle.
Understanding Human Aspects for an Effective Information Security Management Implementation

In today's world, information security is a trending as well as a crucial topic for both individuals and organisations.Cyber attacks cause financial loss for businesses with data breaches and production loss.Data breaches can result in loss of reputation, reduced customer loyalty, and fines.Also, due to cyber attacks, business continuity is affected so that organisations cannot provide continuous production.Therefore, organisations should reduce cyber risks by managing their information security.For this purpose, they may use ISO/IEC 27001 information security management standard.ISO/IEC 27001:2013 includes 114 controls that are in both technical and organisational level.However, in the practice of security management, individuals' information security behaviour could be underestimated.Herein, technology alone cannot guarantee the safety of information assets in organisations, thereby a range of human aspects should be taken into consideration.In this study, the importance of security behaviour with respect to ISO/IEC 27001 information security management implementation is presented.The present study extensively analyses the data collected from a survey of 630 people.The results of reliability measures and confirmatory factor analysis support the scale of the study.
Estimation of Particulate Levels Using Deep Dehazing Network and Temporal Prior

Particulate matters (PM) have become one of the important pollutants that deteriorate public health. Since PM is ubiquitous in the atmosphere, it is closely related to life quality in many different ways. Thus, a system to accurately monitor PM in diverse environments is imperative. Previous studies using digital images have relied on individual atmospheric images, not benefiting from both spatial and temporal effects of image sequences. This weakness led to undermining predictive power. To address this drawback, we propose a predictive model using the deep dehazing cascaded CNN and temporal priors. The temporal prior accommodates instantaneous visual moves and estimates PM concentration from residuals between the original and dehazed images. The present method also provides, as by-product, high-quality dehazed image sequences superior to the nontemporal methods. The improvements are supported by various experiments under a range of simulation scenarios and assessments using standard metrics.
Object Detection: Optimization of training Data in Genetic Programming

In this paper new approach for the optimization of training data for object detection particularly object localization problems in genetic programming (GP) is discussed.For the fitness function, the weighted F-measure of a genetic program is used considering localization fitness values of the detected object locations.The training data is categorized into four types: exact center, close to center, include center, and background for investigation data with this fitness function.An existing fitness function using above approach is examined and compared on three object detection problems of increasing difficulty.The results also suggest that using different proportion of all these data types to optimal results can be achieved which reduces time required for detection of objects.Only two data types Exact center type and close to center type data can be used to produce good detection results.As background type data contains less information we can neglect that type of data.
Efficient and Real-Time Face Recognition Based on Single Shot Multibox Detector

In this paper we present an efficient and real-time human face detection and recognition method based on human body region of interests (ROIs) provided by the single shot multibox detector (SSD). The SSD is a state-of-art general purpose object detector that can detect all kinds of items in the image data and provides detection probabilities. On the other hand, the histogram of oriented gradients (HOG) is another superb detector that is specially designed for human face detection. However, it takes much time to scan the whole image data in order to get the face features. Hence, the issue to us is to reduce the computation time spent for searching human faces and to cope with scalability of the object sizes. Here, in our method, we place the SSD in front of the HOG. The SSD is used to make the ROIs of the human bodies, not the faces importantly, so that the image data containing the human body ROIs only are processed by the HOG. In this way, the HOG can save much time to produce the ROIs of human faces. Then, the feature vectors for the human face ROIs are computed in order to train and also to recognize the people’s identities by using a deep learner. The computer simulations are performed to verify the proposed system using several well-known data bases. The performance evaluation is done in terms of speedup and accuracy as the multiplicity and scalability of people changes. The results show us that the proposed system performs efficiently and robustly than that of the conventional system without SSD, and advantageously it comes with better real-time feasibility.
Mathematical model of network flow control

Abstract In this paper, we consider a network whose nodes are regions between which it is necessary to distribute electricity coming from its source. Any power plant is a complex economic system that always combines simple concepts - the need to supply the power plant with the main resource for the production of electricity and the need to sell the generated electricity. In this model, due to the need to sell electricity to two regions, the prices for the sale of electricity do not matter. Profit maximization is achieved by minimizing production costs. The optimal policy for generating electricity in the i-th time period is found.
Fast Convergence of the Two Dimensional Discrete Shearlet Transform

The 2D discrete shearlet transform for a given function f in L2(R2) has been defined through dilation, shear and translation parameters in such a way that the continuity of f at (0, 0) can be studied by means of the convergence of the discrete shearlet transformas the dilation parameter converges to zero. Computer experiments illustrate this property by detecting edges in images that correspond to discontinuities.
An Analysis of Variance Method for Detection of Collocations in a Pedagogical Domain Corpus

In this paper, an exploratory experiment, based on analysis of variance, was carried out in order to get collocations in a pedagogical domain corpus. A semi-automatic corpus containing learning styles papers in Spanish was built. After wards, the corpus was lemmatized and a bigrams representation was extracted. The proposed method consists on divide the list of bigrams in quartiles, and analyzing the variance on each one of them. A list of collocations, which was evaluated using a gold standard built by an expert in the domain, was retrieved from each experiment accordingto established thre sholds for the method. Results showed a retrieved list with important collocation in the selected domain.
Towards an Assistive Social Robot Interacting with Human Patient to Establish a Mutual Affective Support

The paper describes an architecture for an assistive robot acting in a domestic environment aiming to establish a robust affective and emotional relationship with the patient during rehabilitation at home. The robot has the aim to support the patient in the therapy, to monitor the patient health state, to give affective support increasing the motivation of the human in a period of two or three weeks. The affective based relationship will arise from an interaction based on natural language verbal interaction, on the acquisition of data and vital parameters by environmental and wearable sensors, on a robust human perception using the perceptive robot capabilities. An important issue is that robot activity should be understandable by the human: the proposed architecture enables the robot to express its (emotional) state, its planes, and its interpretation of perceptual data. The implicit goal is to obtain a human emotional involvement that causes the patient to “take care of” its artificial assistant, trying to satisfy the robot’s expectation and motivation. The paper describes the proposed layered architecture (including modules components responsible for events and contexts detection, planning, complex verbal interaction, and artificial motivation, use cases, design patterns and control policies), discusses modeling use cases, and reports preliminary experimentation performed by simulation.
An Efficient Information-Rich Representation Scheme for Information Access and Knowledge Acquisition

Tremendous growth in the number of textual documents has produced daily requirements for effective development to explore, analyze, and discover knowledge from these textual documents. Conventional text mining and managing systems mainly use the presence or absence of key words to discover and analyze useful information from textual documents. However, simple word counts and frequency distributions of term appearances do not capture the meaning behind the words, which results in limiting the ability to mine the texts. This paper proposes a novel representation scheme of a semantic understanding-based approach to mine textual documents. This approach is based on semantic notions to represent the text in documents, to infer unknown dependencies and relationships among concepts in a text, to measure the relatedness between text documents and to apply mining processes using the representation and the relatedness measure. The representation scheme reflects the existing relationships among concepts and facilitates accurate relatedness measurements that result in a better mining performance. An extensive experimental evaluation is conducted on real datasets from various domains, indicating the importance of the proposed approach.
Bernstein polynomials and stochastic computing

Among the multiples applications of Bernstein polynomials there is one related to the processing of random signals, originally introduced by John von Neumann in 1956. Thanks to advances in technology, some ideas from the late sixties of the last century have been retaken in order to design implementations which allow -in certain cases- a simpler and more efficient processing than the traditional one. In this descriptive review article we will illustrate the use and importance of Bernstein polynomials in solving problems associated with stochastic computing, taking as a starting point the notion of stochastic logic in the sense of Qian-Riedel-Rosenberg.
Automated Assessment of Python Code

In this article we discuss some packages and techniques that might be useful for those who wish to assess Python code automatically.