Reviewerly/exHarmony huggingface dataset:
The first FOSD-tacotron-2-based text-to-speech application for Vietnamese

Recently, with the development and deployment of voicebots which help to minimize personnels at call centers, text-to-speech (TTS) systems supporting English and Chinese have attracted attentions of researchers and corporates worldwide. However, there is very limited published works in TTS developed for Vietnamese. Thus, this paper presents in detail the first Tacotron-2-based TTS application development for Vietnamese that utilizes the publicly available FPT open speech dataset (FOSD) containing approximately 30 hours of labeled audio files together with their transcripts. The dataset was made available by FPT Corporation with an open access license. A new cleaner was developed for supporting Vietnamese language rather than English which was provided by default in Mozilla TTS source code. After 225,000 training steps, the generated speeches have mean opinion score (MOS) well above the average value of 2.50 and center around 3.00 for both clearness and naturalness in a crowd-source survey.
«NOW YOU TELL ME WHAT YOU WANT TO DO ABOUT ME». TIMIRA. ROMANZO METICCIO AND THE ITALIAN HYPERMODERNITY

Starting from the intellectual posture assumed by the authors of the text and contextualizing the formal choices used in the writing, this essay aims to analyze Timira. Romanzo meticcio by Wu Ming 2 and Antar Mohamed in the literary context of hypermodernity. For the fact that compositional and modal strategies adopted in Timira are what most distinguished the text, the main purpose I have assumed to pursue is arriving at an analysis focused on them. In order to do this, in this essay I will discuss: the relations between Wu Ming’s and Luther Blissett’s cultural experiences; the particularity of Wu Ming’s intellectual positions and their application in narrative; the reasons and rhetorical tools which allow to think about Timira as an hypermodern literary work. Keywords: Wu Ming, Wu Ming 2, Luther Blissett, Timira, essayistic writing, hybridization, hypermodernity.
Joint Medical Ontology Representation Learning for Healthcare Predictions

Healthcare predictions aim at predicting diseases of the next visit to hospital with historical Electronic Health Records (EHR), which is a key research field in personalized healthcare. Previous research has demonstrated that learning meaningful medical ontology representations within the healthcare prediction model can alleviate the data insufficiency problem and thus is beneficial to this task. There are two main pathways of learning medical ontology representations. The first is through pre-defined knowledge graph such as the ICD tree, and the second is through the co-occurrence of diseases within each visit. Majority of existing works formalize their model under only one pathway, and fail to utilize the mutual benefits between them. To exploit these benefits, we propose JMRL, an end-to-end and accurate model for healthcare predictions with Joint Medical ontology Representation Learning. JMRL not only utilizes the joint information from both knowledge graph and co-occurrence statistics, but also make use of the mutual benefits between them in an advanced way with two explicit feedback strategies. Experimental results on the MIMIC-III dataset demonstrate the superiority of our model over all existing state-of-the-art approaches.
La gestión universitaria en tiempos de Covid-19: Retos, nuevas prácticas y aprendizajes

The extreme situation with the Covid-19 pandemic has posed great challenges and consequently new practices and learning for universities, leading to continuity in the training of professionals, the development of research and innovation and a permanent link with society, in conditions of social isolation, according to the particularities of the context, in the present and with a vision of a future still uncertain. The authors of this work reflect on what was previously stated, from experience, the study of information sources and the development of new practices under integrated working conditions and exchanges between universities.
Efektivitas Penggunaan Media Pembelajaran Interaktif Pada Mata Kuliah Teori dan Praktik Plumbing

This research is experimental research. The subjects in this study were students who took plumbing courses in the odd semester (109) 2018/2019 with 83 students. This research was conducted using the pretest posttest group discussion method by dividing the two learning groups namely the experimental group and the control group. The results showed that the experimental class had higher learning outcomes than the control class. In theory learning the results of the pretest and posttest in the control class get an average value of 42 and 69 which means there is an increase in value of 27 while the experimental class gets a higher value from the control class which is 46 at the pretest and 80 at the posttest so that the increase is much more large compared to the experimental class of 34. Based on this, the use of interactive multimedia is more effective than learning with powerpoint and video. In terms of interest seen from the questionnaire, suggestions and responses that were disseminated had increased students' interest in participating in learning. In addition, other results were obtained in this study that interactive multimedia is still needed a lot of development from the aspects of material, writing, display, video, and quiz.
FPGA Implementation of an Anonymization Algorithm

With the large amount of surveillance cameras in our public spaces there has been much discussion about their effects on privacy. Axis communications has an algorithm that tries to remedy this by making it hard to see who is in an image but still have it possible for a neural network to detect that there is a person present. This thesis explores how this algorithm needs to be adapted to be implementable on an FPGA that operates on the image stream directly from the sensor. Resulting in an anonymization that is much harder to turn off or bypass. The anonymization is performed by blurring the image with a box filter and edges are highlighted with a Sobel operator. These operations is performed in parallel and the edges from the Sobel operator is overlaid the blurred image from the box filter. The alterations made to the algorithm is tested in regards to how they affect the performance of Axis communications person detector. The detector requires the images to look similar to the result from the reference algorithm. The implementation then need to replicate parts of the Image Processing pipeline in the camera system and its inverse. This is done by adding a demosaic and remosaic stage before and after the algorithm, so that both the in and out image is on Bayer form but the anonymization is performed on images in RGB form. The change from floating point calculations to fixed point arithmetic is also done to improve how implementable the design would be and to reduce area consumption. Down sampling is suggested and implemented, to reduce the size of the largest block the box filter. The amount of decimal points needed in the overlaying stage is also tested and the block is simplified. The problem of not retraining the detector is discussed and some solution that could improve hardware utilization without loosing detector performance is suggested. (Less)
Upaya Kegiatan 30 Menit Baca Bersama SD N 01 Batu Payuang Kabupaten Lima Puluh Kota Meningkatkan Literasi Siswa

AbstractThis paper discusses a 30-minute reading activity together with SD Negeri 01 Batu Payuang, Lima Puluh Kota, to improve student literacy. paper writing aims to describe; 1) the implementation of the 30-minute reading together with the habituation stage, 2) the implementation of the 30-minute reading together with the development stage, 3) the implementation of the 30-minute reading together with the learning stages. Data were collected through observation and interviews with teachers and principals in SD Negeri 01 Batu Payuang, Lima Puluh Kota. Analyzing data is done descriptively.Based on the description in the previous chapter, it can be concluded as follows. The effort of reading 30 minutes together with SD Negeri 01 Batu Payuang, Lima Puluh Kota, has improved the students' literacy quite well. First, the implementation of the 30-minute reading activity along with the refraction stage including, the reading activity 15 minutes before learning and selecting reading books in schools has been carried out well while the activities of arranging facilities and a literacy-rich environment, creating a text-rich environment, and public engagement have not been carried out properly. Second, the implementation of the 30-minute reading activity together with the development phase including, the steps of reading at the development stage, the activities of discussing stories, and the use of libraries and reading corners in schools have been carried out properly in accordance with existing guidelines, while the activities of selecting fiction and nonfiction enrichment books, non-academic assessment at the development stage, appreciating the achievements of student literacy and the formation of the School Litersi Team has not been carried out well but some of these activities are in accordance with the applicable literacy guidelines. Third, the implementation of a 30-minute reading activity together with the learning phase including, among other things, reading activities, responding to reading activities, rewriting the contents of the story carried out in accordance with predetermined guidelines, but academic assessment activities at the learning stage are still not carried out according to predetermined guidelines. As well as the impact of the implementation of the 30-minute reading together activities including positive impacts, graduates are accepted at the Faforit and Junior High Schools and enhance student learning. The negative impact is the need for parents in fulfilling reading material for students, creating a boring atmosphere and making the eyes tired for students who are not accustomed to, for parents literacy activities can waste learning time, and sometimes takes time teaching and learning process in the classroom. Third, the constraints experienced are lack of literacy facilities and understanding of teachers and school staff towards literacy activities.Keywords: literacy, program, GLS.
ANALISIS REALISASI ANGGARAN DAN RENCANA KERJA ANGGARAN SEKOLAH (RKAS) TAHUN ANGGARAN 2016 DAN 2017 PADA SMPIT AL-IZZAH KOTA SERANG

This study aimed to determine how the budget realization and work plan for the Al-Izzah Junior High School budget in Serang City for the period 2016 and 2017 and to determine the suitability of the RPP and its realization. In this study, researchers used quantitative research because the data of this study were taken from the plan data and the realization of the school budget in the form of numbers and then examined the correctness. The results of this study found that there were differences between the realization and the budget, such as spending deviations that were not in accordance with school budget allocations and expenditures were not reasonable with predetermined values. It was expected that every activity carried out by school requires an evaluation of the activity program to carry out activities in accordance with what was planned. In preparing the school budget work plan, it was necessary to pay attention to the types, objects and details of expenditure objects that would be needed so that the plan was achieved, and the budget format was required both for reports and realization in accordance with Standard Operating Procedures.
Under the New Situation, School Physical Education and The Improvement of Students' Core Quality

The development of school physical education, as an important part of quality education, plays anirreplaceable role in enhancing students' physical and mental health. Physical education provides thefoundation for the comprehensive development of students, promotes the improvement of their core literacy,enables students to have good learning quality and moral character in the period of receiving education toadapt to the development of society, and further contributes to national construction and nationalrejuvenation. Therefore, there is a close relationship between the development of quality education and thecultivation of students' core literacy ability. The physical education work in schools provides basicconditions for the enhancement of students' physique and the development of comprehensive quality, and tosome extent improves students' core literacy. Through the in-depth study of the relationship between schoolphysical education and students' core quality, it makes contributions to the reform and innovation of nationalbasic quality education and the comprehensive development of students.
Ontology Export Patterns in OWLGrEd Editor

The OWLGrEd ontology editor allows graphical visualization and authoring of OWL 2.0 ontologies using a compact yet intuitive presentation that combines UML class diagram notation with textual Manchester syntax for expressions.For the full use of the graphical ontology tool, it is important to be able to export the ontology in one of OWL textual standards.We describe the OWLGrEd ontology export implementation using patterns that are ascribed to editor diagram abstract syntax elements.The OWLGrEd export patterns show the relationship between editor visual constructions and ontology textual form elements.The pattern-based method allows a tool end-user to define a custom field semantics in OWLGrEd extensions, and it can be generalized also for the model-to-text transformation within other similarly structured tools.
Towards a morphological analyzer for the umbundu language

In this document we present the first developments on an Umbundu dictionary for a jSpell, a morphological analyzer. Initially some comments are performed regarding the Umbundu language morphology, followed by the discussion on jSpell dictionaries structure and its environment. Last, we describe the Umbundu dictionary bootstrap process and perform some final experiments on its coverage.
Non Parametric Graph Learning for Bayesian Graph Neural Networks

Graphs are ubiquitous in modelling relational structures. Recent endeavours in machine learning for graph-structured data have led to many architectures and learning algorithms. However, the graph used by these algorithms is often constructed based on inaccurate modelling assumptions and/or noisy data. As a result, it fails to represent the true relationships between nodes. A Bayesian framework which targets posterior inference of the graph by considering it as a random quantity can be beneficial. In this paper, we propose a novel non-parametric graph model for constructing the posterior distribution of graph adjacency matrices. The proposed model is flexible in the sense that it can effectively take into account the output of graph-based learning algorithms that target specific tasks. In addition, model inference scales well to large graphs. We demonstrate the advantages of this model in three different problem settings: node classification, link prediction and recommendation.
FUZZY LOGIC CUSTOM INSTRUCTION SET FOR NIOS II PROCESSOR

The article describes a way to implement operations on fuzzy sets using additional processor instructions.As a target, a NIOS II soft processor is used.Due to the hardware implementation of instructions, the speed of their execution increases significantly.The integration of fuzzy instructions into the NIOS II processor instruction set simplifies the process of developing programs that use fuzzy inference algorithms.
Multilevel Methods for Imaging Applications

Wavelet-based multilevel methods for inverse problems in imaging are presented, and their potential in applications such as image deblurring, blind deconvolution, and light transport acquisition is demonstrated with numerical examples.
Blockchain-based Smart contracts: Concepts & Challenges and Adoption in Potential Banking Sectors

A Blockchain-based smart contract is a stored code to represent a contract between different parties and it executes automatically when predetermined terms and conditions met. In spite of the idea of Smart contract raised more than twenty years ago. The idea did not see the light until the emergence of Blockchain technology in 2008. With the advance in Blockchain technology, smart contracts are being use to serve a wide range of different applications. This paper explains the concept of smart contracts, its benefits and its applications focusing on banking sector. The paper also discusses the technical explanation about its execution and deployment through the Ethereum platform. Finally, the paper discusses the different challenges & future problems of smart contracts and proposed solutions.
Bilinguismo e plurilinguismo nel romanzo di formazione sardo: Deledda, Fiori, Ledda, Atzeni, Murgia

No AccessBilinguismo e plurilinguismo nel romanzo di formazione sardo: Deledda, Fiori, Ledda, Atzeni, MurgiaGigliola SulisGigliola SulisSearch for more papers by this authorhttps://doi.org/10.14220/9783737011327.275SectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinkedInRedditEmail About Previous chapter Next chapter FiguresReferencesRelatedDetails Download book coverWiener Arbeiten zur LinguistikVolume 5 1st editionISBN: 978-3-8471-1132-0 eISBN: 978-3-7370-1132-7HistoryPublished online:October 2020 PDF download
An Enhanced Approach to Extract Top-K High Productive Itemsets

The main purpose of this work is to develop a superior structure to extract top-K high productive itemsets. Here K is the picked portion of high productive itemsets that is to be established. High productive itemset tunneling is surely a prominent study in data mining but the factors for setting minimum utility margin are definitely a difficult task. In this work, an Enhanced approach to extract top-k high productive itemsets named Enhanced top-K high productive itemset tunneling (ETKU) is proposed. ETKU uses B+ Tree data structure instead of using a Utility Pattern Tree (UP-Tree) data structure that is used in existing Top-K high productive itemsets tunneling (TKU) method. Although TKU helps to reduce the time taken for the process of tunneling by reducing the total number of database scans to two, the complexity lies in the UP-Tree traversal for obtaining potential top-K high productive itemsets. B+ Tree used in ETKU does not have data associated with interior nodes so that more keys can fit into the memory. The leaf nodes of B+ Tree are linearly linked, so a full scan of a tree requires only one linear pass through all the leaf nodes.
La ricerca sull’intonazione del sardo: stato attuale e prospettive future

No AccessLa ricerca sull’intonazione del sardo: stato attuale e prospettive futureMaria del Mar Vanrell, Francesc Ballone, Teresa Cabré, Pilar Prieto, Carlo Schirru, Francesc Torres-TamaritMaria del Mar VanrellSearch for more papers by this author, Francesc BalloneSearch for more papers by this author, Teresa CabréSearch for more papers by this author, Pilar PrietoSearch for more papers by this author, Carlo SchirruSearch for more papers by this author, Francesc Torres-TamaritSearch for more papers by this authorhttps://doi.org/10.14220/9783737011327.71SectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinkedInRedditEmail About Previous chapter Next chapter FiguresReferencesRelatedDetails Download book coverWiener Arbeiten zur LinguistikVolume 5 1st editionISBN: 978-3-8471-1132-0 eISBN: 978-3-7370-1132-7HistoryPublished online:October 2020 PDF download
Research on the Effective Ways to Cultivate the Legal Risk Awareness of College Students’ Innovation

In recent years, “mass entrepreneurship and innovation” have continued to advance, and innovation and entrepreneurship have been deeply integrated with economic and social development. College students’ innovation and entrepreneurship have received support from relevant national policies and systems. However, the market economy is an economy under the rule of law, and college students’ innovation and entrepreneurship will inevitably face various legal risks. The most effective measure to prevent legal risks is to enhance college students’ own resistance. Therefore, an innovation and entrepreneurship legal education system with “one main line and three combinations” should be constructed to effectively enhance the college students’ own legal risk awareness and prevention capabilities for innovation and entrepreneurship.
An Analysis Study Flood Improving The Capacity Reduction Long Storage And Bozem

. Industry is an important infrastructure in the city. At the location of the coffee factory in the village of Bringinbendo, Sidoarjo with an area of ??± 119,372 m², there is a lack of green open space and small dimensions so that it cannot accommodate the water discharge during high rainfall. The analysis data used is 10 years of rainfall data observations from the data Rain Station of Botokan, Sruni, Ketegan and Karangnongko. In this study the method used Log Pearson Type III method. So that the 5 year return rain discharge is 105.75 m³/sec. The existing channel capacity is 4040.42 m³ while the required volume is 4947.16 m³ with a flood discharge of 2,450 m³ / sec. Then it needs a long storage with a capacity of 2575 m³ and bozem with a capacity of 337.5 m³ so that it can accommodate the volume of water.
Prediction of Hospital Re-admission Using Firefly Based Multi-layer Perceptron

From last few years, the focus involved in hospital management is quality care of patient.An essential measurement of care quality shows restraint readmissions.Numerous strategies exist to factually recognize patients well on the way to require clinic readmission.Right recognizable proof of high-chance patients permits medical clinics to astutely use constrained assets in relieving emergency clinic readmissions.Be that as it may, these techniques have seen minimal pragmatic selection in the clinical setting.This examination endeavors to distinguish the many open research addresses that have blocked far reaching appropriation of prescient emergency clinic readmission frameworks.Current frameworks frequently depend on organized information extricated from wellbeing records frameworks.This information can be costly and tedious to remove.Unstructured clinical notes are rationalist to the fundamental records framework and would decouple the prescient examination framework from the basic records framework.In any case, extra worries in clinical characteristic language preparing must be tended to before such a framework can be executed.In this paper we use the automated approach of predicting the possible hospital readmission.For to automate we use multi-layer perceptron model with an optimization technique.Current research focus on deep learning models but it takes huge time to make classification of data, proposed approach uses the firefly optimization it reduces the time taken for classification.