Reviewerly/exHarmony huggingface dataset:
시설 지적장애 성인의 자기표현 및 의사소통 향상을 위한 놀이활동 프로그램 연구

The purpose of this study was to investigate how play activities were performed among the adults with intellectual disabilities living in residential facilities to determine how they affect self-expressions and communication necessary for their integration and socialization in local communities. A total of 20 play activity programs, 120 minutes per week, were conducted for 9 intellectually disabled individuals. They were 20 years old or older, did not have university education, were unemployed, and were living at the facilities for the disabled. The research results related to this are as follows. As for the 9 participants whose self-expressions and communication had been suppressed, their eye contact and communication increased, various emotions were expressed, and the participants who had lacked verbal expressions expressed their intentions with body movements. In the process of giving and receiving help to each other, verbal and non-verbal expressions and communication were actively carried out. The participants regained a sense of accomplishment and confidence through the experience of play activities, and self-expression and communication were learned through repeated experiences.
MVCC Libraries: Evaluate Sources: How-To

Learn how to decide whether a source is credible, and worthy of being used in your assignment.
Spoken Language Identification with Deep Convolutional Neural Network and Data Augmentation

In this paper, a spoken language detection system based on deep convolutional neural networks is presented. The neural network model is trained and tested on a speech dataset containing five languages. Speech signals are first converted into mel-spectrogram features and these features are fed into the deep convolutional neural network. Flattened outputs of the deep convolutional network are then fed into a recurrent layer, and a dense layer with softmax activation function is used as an output layer to predict the output language probabilities. This network results in 0.89 Fl-score in our test data. We also used a data augmentation method, namely SpecAugment, which increased the Fl-score to 0.94.
Sentiment Analysis for Refining Word Vectors Using Naïve Bayes Approach

Twitter is an American online news and social networking service where users post messages known as “tweets” and interact with them. With India accounting for over 7.83 million, there are over 400 million twitter users. It offers a platform for other users to analyze and base their choices on it when users express their opinions using tweets, which are unstructured texts succeeded by a hashtag. In this proposed system, sentiment analysis of tweets messages posted on twitter is considered. The views expressed in a piece of text as tweet are used to determine whether the attitude of the writer toward a specific subject, product, etc. is positive or negative. The proposed system uses word vector representations and refines them to perform sentiment analysis in a more effective way.
A Brief Introduction to Xiaoping Ding's New Number-figure Model and His Thoughts on New Calculus Principles

In this paper, the author introduces Mr. Xiaoping Ding's thoughts on the new number-figure model and the new calculus principles. Firstly, the mistakes and deficiencies of the current calculus principles are summarized briefly, and the source of these defects is found to be the deficiency of the current number-figure model. Secondly, on the basis of the critique on the current number-figure model, Ding's new model, which is capable to describe changes in the real world, is introduced. Thirdly, based on this new model, Ding's main thoughts on the new calculus principles, including the analysis of continuity and the calculation of the trend of functions, the principles of the differential and the derivative, and the principles of the integral, are introduced.
Generating Asset Paths for Financial SDEs with GANs

Generative adversarial networks (GANs) have shown promising results when applied on partial differential equations and financial time series generation. This thesis investigates if GANs can be used to provide a strong approximation to the solution of stochastic differential equations (SDEs) of the Ito type. Standard GANs are only able to approximate processes in conditional distribution, yielding a weak approximation to the SDE. A novel GAN architecture is proposed that enables strong approximation, called the constrained GAN. The discriminator of this GAN is informed with the random sample that corresponds to the Brownian motion increment between two time steps. This way, the constrained GAN does not only learn the conditional distribution, but the unique map from a random increment to the next asset value along the path, conditional on the previous value. The architecture was tested on geometric Brownian motion (GBM) and the Cox Ingersoll Ross (CIR) process in one dimension, where it was conditioned on a range of time steps and previous values of the asset process. The constrained GAN was shown to outperform discrete-time schemes in strong error on a discretisation with large time steps. It also outperformed the standard conditional GAN when approximating the conditional distribution. A method is proposed to extend the constrained GAN to general one-dimensional Ito SDEs, beyond the SDEs tested in this work. In future work, the constrained GAN should be conditioned on the SDE parameters as well, allowing it to learn an entire family of solutions at once. Furthermore, the architecture could be extended to higher dimensions, including systems of SDEs, such as the Heston model.
A Hybrid Quantum Secret Sharing Scheme Based on Mutually Unbiased Bases

With the advantages of both classical and quantum secret sharing, many practical hybrid quantum secret sharing schemes have been proposed. In this paper, we propose a hybrid quantum secret sharing scheme based on mutually unbiased bases and monotone span program. First, a dealer sends the shares in the linear secret sharing to the participants in the authorization set via a secure channel. Then, the dealer and participants perform unitary transformation on a d-dimensional quantum state sequentially, and the dealer publishes the measurement result confidentially to the participants in the authorization set to recover the secret. The verifiability of the scheme is guaranteed by the Hash function. Next, the correctness and security of the scheme are proved and our scheme is secure against the general eavesdropper attacks. Finally, a specific example is employed to further clarify the flexibility of the scheme and the detailed comparisons of similar quantum secret sharing schemes also show the superiority of our proposed scheme.The scheme realizes quantum secret sharing under the access structure with one qudit and different influence of the participants, which saves quantum resources and makes it more flexible and convenient in practical applications.
Simple experimental setup for producing polarization-entangled photons

Abstract Quantum entanglement is an important action in quantum mechanics. Basically, quantum entanglement of correlated photon pairs can be produced by spontaneous down-conversion process inside the two birefringence crystals. This work aims to create a pair of photons, i.e. signal and idler, that are entangled and to assay the relation between these photons by using polarization-entangled photon pairs to demonstrate quantum non-locality by comparing with the Malus’s law. From the experiments, the coincidence counts as a function of relative angle ( α - β ) between transmission axis of the polarizer and analyzer were obtained and the polarization entanglement curve was demonstrated. This result corresponding with polarization entanglement prediction term of ½ cos 2 ( α - β ) which confirmed the entanglement of photons.
PENGARUH KECERDASAN EMOSIONAL (EQ) MAHASISWA DAN METODE PENGAJARAN DOSEN TERHADAP TINGKAT PEMAHAMAN AKUNTANSI

The purpose of this research was to examine the effect of students' emotional intelligence and lecturer teaching methods on accounting understanding level. This study used questionnaire techniques. The sample used was 69 respondents with a purposive sampling method. The analytical technique used in this study is multiple regression. The results shown are that emotional intelligence affects the level of accounting understanding, while the teaching method of lecturers has no effect on the level of accounting understanding. Through the results of this research, it is expected that universities can strive to increase the students emotional intelligence as a measure of accounting understanding level because it can improve the quality of graduates. This research is important in education, especially universities which certainly wants the highest quality graduates, and for students to improve material understanding.
Percepciones de docentes sobre el aprendizaje móvil en Educación Superior

The general objective of this work is to examine the perceptions of professors about the use of mobile devices for academic purposes at the School of Law, Political and Social Sciences of the San Francisco Xavier de Chuquisaca University. The study ascribed to an interpretive paradigm, with a qualitative approach and a descriptive-transverse type of research. To collect the information, 15 semi-structured in-depth interviews were conducted, and based on the grounded theory, four analytical categories were identified: knowledge and uses, attitudes and skills, advantages and disadvantages, as well as challenges and opportunities in the implementation of mobile learning. The main findings are: teachers have a concept of mobile learning based on experience and daily pedagogical application. More positive than negative attitudes were evidenced for the pedagogical integration of these ICTs. The importance of developing social and technical skills at the same time is emphasized, although they recognize that they are not fully trained, especially in the area of digital and didactic competences, a situation that should not be an excuse for updating. The advantages of mobility, access to information, communication and collaborative work are the most outstanding, in contrast there are problems of connectivity and access to the latest technology. Finally, it was argued that Bolivia is in a unique opportunity to modernize its educational system; the ICTs do not replace the teacher’s work, but pose the challenge of implementing urgent institutional, pedagogical and technological changes with the participation of the State and all educational actors.
Generating Walking Bass Lines with HMM

In this paper, we propose a method of generating walking bass lines for jazz with a hidden Markov model (HMM). Although automatic harmonization has been widely and actively studied, automatic generation of walking bass lines has not. With our model, which includes hidden states that represent combinations of pitch classes and metric positions, different distributions of bass notes selected at different metric positions can be learned. The results of objective and subjective evaluations suggest that the model can learn such different tendencies of bass notes at different metric positions and generates musically flowing bass lines that contain passing notes.
SISTEM REKOMENDASI SEKOLAH MENENGAH PERTAMA DI KOTA BANDAR LAMPUNG MENGGUNAKAN METODE SAW (SIMPLE ADDITIVE WEIGHTING) BERBASIS SISTEM INFORMASI GEOGRAFIS

Along with the development of information technology in the rapidly advancing era of globalization, the school education office in the city of Lampung conducted a zoning system in the acceptance of prospective elementary school students and above. With the advancement of technology, registration of prospective new students can access online registration which makes it easy to register. And now there needs to be a decision support system for prospective students in choosing schools according to the zoning mapping of the region. Then a decision support system is applied using the SAW (Simple Additive Weighting) method based on geographic information systems because the method is more appropriate in selecting criteria that are suitable for prospective students. In this case there are 3 (three) criteria contained in the system in the form of distance criteria, criteria for the difference in the number of UN scores of students with passing grade, and school quota criteria
Image colour edge detection using hypercomplex convolution

Quaternions are considered for colour image edge detection. Most work on quaternions is based on a linear quaternion system (LQS) which applies multi-directional kernels (horizontal, vertical, and diagonal) using hypercomplex convolution, each kernel producing an edge map for a specific direction, and the final result is a combination of these maps. This paper introduces a new colour image edge detection filter based on LQS convolution. The process starts by applying quaternion convolution with the proposed filter, and then generating the final edge map by computing the magnitude of the result. The proposed filter is able to highlight both colour and greyscale edges in multiple directions using a single LQS convolution pass. The validity of the proposed filter is demonstrated, and its performance is supported experimentally through a set of comparisons with state-of-the-art methods.
PROBLEM LITERASI BUDAYA TEKS NONSASTRA PADA BUKU TEKS BAHASA INDONESIA KELAS VIII SMP TERBITAN KEMDIKBUD

This research aims to describe the lack of integration of literacy content based on non-literary text culture in Indonesian textbooks for grade VIII SMP. This study uses a qualitative approach with data analysis techniques in this study conducted by data reduction, data presentation and data verification until drawing conclusions. The data source of this research is the 2017 revised edition of the Indonesian textbook klass VIII SMP published by the Ministry of Education and Culture of the Republic of Indonesia. The description in this study is about the problem of lack of cultural-based literacy content in non-literary texts in textbooks. This research is based on the movement of strengthening character education to strengthen the character of students through though heart (ethics), though feeling (aesthetically), though thinking (literacy), and sports (kinesthetic). The results showed that the lack of literacy content for students based on culture in non-literary texts in Indonesian textbooks in grade VIII SMP. The non-literary texts analyzed include: news, ad text, exposition text, explanatory text, review text, and persuasive text.
Télé-neuropsychologie : nouvelles technologies et outils évaluatifs

Over the last fifty years, the technological revolution — also called the “digital revolution” —has been continuously reshaping our daily lives and bringing about new opportunities and challenges. This paper examines the practice of “teleneuropsychology” that has resulted from this technological revolution, raising three specific points: 1) the digitization of existing assessment tools enables neuropsychologists to more accurately record their patients’ behavior and simplifies data storage; 2) teleconsultations have seen increased take-up due to the current pandemic, enabling neuropsychologists to treat patients despite social distancing measures. However, technical issues and a lack of test standardization may limit their potential; and 3) large-scale self-assessment tools used by the general public can generate a considerable amount of data and offer valuable insights into cognitive diseases, although they also raise important privacy issues.
GPU Assisted Collision Avoidance for Trajectory Optimization: Parallelization of Lookup Table Computations for Robotic Motion Planners Based on Optimal Control

One of the biggest challenges associated with optimization based methods forrobotic motion planning is their extreme sensitivity to a good initial guess,especially in the presence of local minima i ...
ED-BeCT : An enhanced dynamic behavioral cloud trust model to evaluate the trustworthiness of the cloud service provider

Cloud computing is an evolving technology providing the delivery of on-demand calculating services to offer scalable resources dynamically in an economical manner. The companies that provide these types of services enable users to store their data in, and exchange information with a virtual space remotely. However, this fact makes this technology prone to various risks and security threats. Thus, in cloud environments, assessing the trustworthiness is a momentous challenge that requires much effort and time to build up users’ confidence to choose a trustworthy cloud service provider. Trust has been studied by many researchers using several techniques and evaluating various trust characteristics. In fact, conceptually, trust has a vague notion and in cloud computing, involves diverse trust characteristics such as security, reliability, auditability, multi-tenancy and so on. Although extensive research has been carried out on trust in cloud environments, no single study exists which evaluates trust with standard measures from different perspectives. In view of these issues, our objective in this thesis is to propose a comprehensive cloud trust model based on existing system and software quality standards as well as to consider the cloud services behavior to be compared with the proposed service level agreements (SLAs) to filter qualified cloud service providers. In the context of a proposal for an Enhanced Dynamic Behavioral Cloud Trust (ED-BeCT) model, we study the applicable system and software quality standards to find standard trust characteristics. We analyze the literature to derive the commonly recognized trust characteristics applicable for evaluating trust in cloud computing. Additionally, we derive proper measures for each trust characteristic to increase the accuracy of the proposed model in trust assessment. Concerning the different aspects of cloud computing, we generalize these trust measures for the three types of cloud service models (i.e. Software as a Service, Platform as a Service, Infrastructure as a Service). To consider the level of importance of each trust characteristic, we apply full consistency method (FUCOM) to calculate appropriate weights. In this method, the weights are calculated based on the mathematical transitivity conditions and equal relations between the weights and the comparative priorities of the trust characteristics. The final value of the trust is determined by applying the calculated weights in the normalized values of the trust measures in the SAW (Simple Additive Weighting) method. Our work thereby introduces a cloud trust model to overcome the deficiencies of the prior models proposed by other researchers. Throughout this thesis, the presented detail and analysis of the model shows that the proposed model is accurate and has the appropriate capabilities to calculate trust in cloud computing and evaluate the provided cloud services.
SOCIAL REALITY CONSTRUCTION IN THE TECHNO-SOCIAL WORLD: NEW ASPECTS OF SOCIOLOGICAL CONCEPTUALISATION

The paper considers the conceptual approaches to social reality construction amidst the developmentof digital technology forming the techno-social space, in which socio-cultural and technologicalaspects of human life and society are intertwined in the context of mutually conditioned changes.Based on the concepts of phenomenology, the mental bases of the social world exploration areenunciated and the role of digital technology in the social distribution of knowledge through new formsof everyday practices of communication is analyzed. Building upon the conceptual ideas of materialistphenomenology, it states that one needs to take into consideration the physical infrastructure of socialcommunications in the current situation, because there is a duplicitous nature of worldviews andreality through material and social aspects. The thesaurus approach places a special emphasis on acertain set of everyday knowledge being internalized in the primary and secondary socialization thatallows the individual to navigate in the environment. Based on the concepts of this approach, featuresof the thesaurus worldviews formed in the context of virtual and augmented reality are considered.Features of knowledge production and ways of its acquiring through the application of new analyticalmethods for big data processing are separately analyzed. It is shown that the intensified use ofinformation technologies in the intellectual activity of a modern individual deepens the functionalrelationship between them in the acquiring of new knowledge. It can be reflected in the thesaurusstructure. It is concluded that digital technology does not simply mediate the real-world exploration,acting as a neutral guide but transforms the construction of social reality.
LibGuides: Streaming Video: A Guide to Streaming Video Collections from NOVA Libraries: Films on Demand

A guide to finding and using streaming video for use in courses. Questions? Email LTS@nvcc.edu
Development of Web-based Technology for Environmental Engineering Education System

The objective of the ecological building instruction ought not just train understudies' natural information, the more significant thing is that it prepares understudies' natural ethics and structures the conduct which is good for the earth, and these must be shaped by training, in actuality. In the customary showing model of training, one instructor can just guide one practice simultaneously. With the improvement of organization innovation, instructor can control the distinctive practice exercises firing up in various areas or in various occasions by network. In light of the incorporation of viable need and intuitive qualities of condition instruction, the creator set forward an online domain training mode named "practice-intelligent partake in". The Core of this mode is to prepare understudies' natural ethics by training and to understand educators' guidance through organization.