Reviewerly/exHarmony huggingface dataset:
Una reflexión sobre la Educación en Tiempos de pandemia

Colombia, as one of the countries that does not have a satellite communication system and connectivity that provide appropriate coverage at the national level, was forced by the pandemic to reengineer vital activities from the virtual sphere, which would allow the population to carry out all kinds of activities from their homes, because “the arrival of COVID-19, generated great repercussions in university life and in the conditions to ensure the right to education, forcing teachers to reinvent the teaching methodology and integrate the Technologies of Information and Communication in the training process ”Rueda (2020).
Comparison of Methods Generalizing Max- and Average-Pooling.

Max- and average-pooling are the most popular pooling methods for downsampling in convolutional neural networks. In this paper, we compare different pooling methods that generalize both max- and average-pooling. Furthermore, we propose another method based on a smooth approximation of the maximum function and put it into context with related methods. For the comparison, we use a VGG16 image classification network and train it on a large dataset of natural high-resolution images (Google Open Images v5). The results show that none of the more sophisticated methods perform significantly better in this classification task than standard max- or average-pooling.
“Presencialidad virtual” en un curso de Ingeniería Industrial: cómo se desarrollaron las clases de Análisis Numérico y Cálculo Avanzado durante la cuarentena

Covid-19 radically changed everyone´s life, both in personal as labor aspects. The mandatory quarantine forced faculty to change their way of doing every task they did with students: teaching, communicating, assessing… Some of them, could overpass obstacles following what was planned for face-to-face classes, others not so well, and it is logical, since few was prepared for what had to be done.Students also had to meet the requirements to the fast pace of change in the way of learning. Some, with scarce technological resources could not link up the courses. Others were able to join them with some difficulty, many had no obstacles and were able to keep up.Numerical Analysis and Advanced Calculus, one of the subjects in the third year of Industrial Engineering at Facultad Regional San Nicolas (UTN), quickly adapted to the new modality of non-presence classes. The flipped classroom strategy continued, as in the previous years. Virtual in classes was made possible by Zoom, with a high attendance rate. The monitoring of student activities in Moodle was also important. Some Office 365 tools were also applied. Despite some difficulties appeared when assessing, the results in general were satisfactory, especially considering that desertion was not significant.The strategies and tools used and the results obtained during the first semester are shown here, and some proposals for the second semester, assuming that the virtual presence will continue.
The Mediation Role of Organizational Slack And Innovation Climate on The Effect of Perceived Organizational Support in Academic Performance

The main objective of this research is to examine the mediation role of both organizational slack and innovation climate on the effect of perceived organizational support on academic performance at the colleges of Duhok University by using path analysis. The research reviews the contributions of researchers on the subjects of perceived organizational support (POS), organizational slack (OS), innovation climate (IC), and academic performance (AP). Constructing on previous studies, a set of hypotheses are formulated to express the effect of the POS, OS, IC variables on AP variable. A sample of 181 lecturers were selected to verify research hypotheses which have been proposed. Finally, the main conclusions of the research are presented. The results of the investigation reveal that the organizational slack and innovation climate variables mediates the influence between the perceived organizational support and the academic performance and that the indirect effect between the perceived organizational support and the academic performance was stronger than the direct influence between them.
Using Predict-O-Gram Strategy to Improve Student’s Ability in Reading Comprehension

Abstract: The objective of the study was to find out whether or not there was a significant difference in reading comprehension achievement between the students who were taught by using Predict-O-Gram Strategy and that of those who were not. The method used in this study was a quasi-experimental method. The sample of the study was 54 students, which divided into two groups, namely experimental group (class VIII.B) and a control group (class VIII.C), each of them consisted of 27 students. To collect the data the written test was used in the form of multiple-choice. Before giving the test, the test was tried out to non sample students of the eighth grade students of MTs Subulussalam Kayuagung class VIII. A in order to know whether or not the test was valid and reliable for sample not. The data obtained were analyzed by t-test and the calculation was done with SPSS (Statistical Package for Social Science) version 20. Based on the result of independent sample t-test, It found that there was a significant difference in reading comprehension achievement between the students who were taught by using Predict-O-Gram Strategy and that of those who were not.&#x0D; &#x0D; Keywords: predict-o-gram strategy, reading comprehension
KEMAMPUAN PRODUKSI FONOLOGIS BAHASA INDONESIA ANAK PENYANDANG DOWN SYNDROME DI SDLB BANYUWANGI

This study examines the ability of phonological production or the ability to produce language sounds, namely vowels and consonants in Indonesian with Down syndrome, a student of the Banyuwangi An-Moerty Extraordinary Primary School. Phonological sensitivity has an important role in communicating creativity, including for persons with disabilities. The purpose of this study is to describe phonological production capabilities, and to find out the causes of the inability to pronounce language sounds of persons with Down syndrome, Bagus Chandra. This research is a qualitative research. This research data in the form of words spoken by Bagus Candra collected by the method of observation or observation with note-taking techniques and data in the form of information from the people closest to home and school were collected by interview method with note-taking techniques. Language data that have been classified are analyzed by distributional methods or agih methods with basic BUL techniques and advanced techniques: skipping, replacing, inserting, and changing the meanings, while data in the form of information are analyzed by descriptive analytical methods. The results of this study indicate that Bagus Chandra's phonological production ability in producing vowel sounds and consonant sounds is mostly perfect, because all vowel sounds [a], [i], [u], [e], and [o], and consonant sounds which includes sounds [b], [c], [d], [g], [h], [j], [k], [l], [m], [n], [p], [q] , [s], [t], and [y] can be pronounced correctly without obstacles. In this case, only a small part of the consonant sound, namely: sounds [r], [f], [v], [w], [x], and, [z] cannot be pronounced perfectly. Physically, the inability is caused by abnormal growth of the tongue, which is the size of the tongue that is longer and wider, and often extended.
ID-Unet: Iterative Soft and Hard Deformation for View Synthesis

View synthesis is usually done by an autoencoder, in which the encoder maps a source view image into a latent content code, and the decoder transforms it into a target view image according to the condition. However, the source contents are often not well kept in this setting, which leads to unnecessary changes during the view translation. Although adding skipped connections, like Unet, alleviates the problem, but it often causes the failure on the view conformity. This paper proposes a new architecture by performing the source-to-target deformation in an iterative way. Instead of simply incorporating the features from multiple layers of the encoder, we design soft and hard deformation modules, which warp the encoder features to the target view at different resolutions, and give results to the decoder to complement the details. Particularly, the current warping flow is not only used to align the feature of the same resolution, but also as an approximation to coarsely deform the high resolution feature. Then the residual flow is estimated and applied in the high resolution, so that the deformation is built up in the coarse-to-fine fashion. To better constrain the model, we synthesize a rough target view image based on the intermediate flows and their warped features. The extensive ablation studies and the final results on two different data sets show the effectiveness of the proposed model.
Federated Learning in Side-Channel Analysis.

Recently introduced federated learning is an attractive framework for the distributed training of deep learning models with thousands of participants. However, it can potentially be used with malicious intent. For example, adversaries can use their smartphones to jointly train a classifier for extracting secret keys from the smartphones’ SIM cards without sharing their side-channel measurements with each other. With federated learning, each participant might be able to create a strong model in the absence of sufficient training data. Furthermore, they preserve their anonymity. In this paper, we investigate this new attack vector in the context of side-channel attacks. We compare the federated learning, which aggregates model updates submitted by N participants, with two other aggregating approaches: (1) training on combined side-channel data from N devices, and (2) using an ensemble of N individually trained models. Our first experiments on 8-bit Atmel ATxmega128D4 microcontroller implementation of AES show that federated learning is capable of outperforming the other approaches.
Element APIs and WebdriverIO Assertions

In the previous chapter, you learned about browser-specific APIs. This chapter discusses element-specific APIs. You use various assertions provided natively by WebdriverIO. Broadly, this chapter covers the following topics.
Complex stress state of materials and structural elements and strength criteria: the scientific business card of Academician A.O. Lebedev

On February 1, the scientific community celebrates the 90th anniversary of a prominent Ukrainian scientist in the field of deformable solid mechanics, laureate of the USSR State Prize (1982), the State Prize of Ukraine in Science and Technology (1997), Honored Worker of Science and Technology of Ukraine (2001), laureate of S.P. Tymoshenko (2004) and G.S. Pysarenko (2011) Prizes of the NAS of Ukraine, Doctor of Technical Sciences (1972), Professor (1976), Academician of the NAS of Ukraine (1988) Anatoliy O. Lebedev.
Fusing Medical Image Features and Clinical Features with Deep Learning for Computer-Aided Diagnosis

Current Computer-Aided Diagnosis (CAD) methods mainly depend on medical images. The clinical information, which usually needs to be considered in practical clinical diagnosis, has not been fully employed in CAD. In this paper, we propose a novel deep learning-based method for fusing Magnetic Resonance Imaging (MRI)/Computed Tomography (CT) images and clinical information for diagnostic tasks. Two paths of neural layers are performed to extract image features and clinical features, respectively, and at the same time clinical features are employed as the attention to guide the extraction of image features. Finally, these two modalities of features are concatenated to make decisions. We evaluate the proposed method on its applications to Alzheimer's disease diagnosis, mild cognitive impairment converter prediction and hepatic microvascular invasion diagnosis. The encouraging experimental results prove the values of the image feature extraction guided by clinical features and the concatenation of two modalities of features for classification, which improve the performance of diagnosis effectively and stably.
Penggunaan Afiks dalam Teks Deskripsi Karangan Siswa Kelas VII A SMP Negeri 2 Gatak Tahun Pelajaran 2018/2019

This study has three objectives. (1) identify the use of affix in the description text of students, (2) identify forms of error affix in the description text of students, and (3) identify the causes of misuse of affix and in the description text written by class VII A SMP Negeri 2 Gatak Tahun 2018/2019 lesson. This research method uses descriptive qualitative methods and interactive analysis techniques. The results of this study are, (1) the use of affixes, affixes used by students, namely, prefixes (di-, me-,ter-, ber-, pe-, ke-,dan se), suffixes (-an, -nya, -kan, dan ¬–wan), and confiks (ke-an, per-an, ber-an, me-i, me-kan, dan pe-an), (2) forms of errors in the use of affixes are, errors in the use of pre and allomorph prefixes, errors in the use of ber and allomorph prefixes, and improper writing of affixes, that is, in the prefix (di-, me-, ter-, ber-, pe-, ke-, dan se-), suffix (–an), and confix (ke-an, per-an, ber-an, me-i, dan me-kan), and (3) factors that cause misuse of student affixes, namely, lack of thoroughness, lack of understanding of affixation, inaccurate writing, being told but forgetting, and students still do not understand the affixes and are separated or combined.
LibGuides: Research Methods: Welcome!

The Research Methods Guide provides a general overview of research methodologies. The information included in this guide is also taught in the form of a workshop series by the library staff.
Applying Forensics Tools to Incident Investigation

This paper discusses the use of specialized forensics tools for fixing confidential data leaks, their comparison and capabilities, as well as the functionality of modern information flow control systems.
Hacia un aprendizaje significativo en el área de historia en la Institución Educativa San José en Uramita, Antioquia

Through the evaluation of the level of knowledge of the students of the fourth and fifth grades of the San Jose Educational Institution, in each of the academic periods between the years 2018 and 2019; it was evidenced in general, a low performance in the subject of history, mainly originated, by the omission or ignorance on the part of teachers of the various pedagogical methodologies available to improve the teaching-learning process. From this perspective, the purpose of this research is to strengthen the teaching and learning processes of history in children of the fourth and fifth grades, through the design and implementation of pedagogical strategies that allow them to overcome the difficulties associated with the learning of this subject; for which, a research with a qualitative approach was carried out, framed in the educational action research and based on the application of semi-structured interviews with two teachers of the area and the observation of students during the respective history classes. It is concluded that although the teachers of the area of history in the planning proposed diverse pedagogical strategies, it is also identified that they do not show availability to improve their teaching process and to execute new strategies that favor in the students the motivation for this subject and the acquisition of significant learning. The educational institution is urged to develop the curriculum of the area of history and strengthen the educational training of teachers, according to the subjects taught by them.
BASIC EDUCATION AND SCIENTIFIC ACTIVITY OF THE TEACHER OF INFORMATION TECHNOLOGIES FOR NON-PROFILE DIRECTIONS OF TRAINING

With regard to the areas of training undergoing training at the Department of Information Technologies in the Agro-Industrial Complex, an analysis of the Federal State Educational Standards 3 ++ was carried out. Disciplines of the department to the main disciplines of curricula and form the general professional competencies of future bachelors. The educational standards of the category to which the disciplines of the department belong have significant differences depending on the training plans. General professional competencies of disciplines of the IT cycle for non-core programs can be formed in the field of information culture before using tools and equipment. Requirements for staffing of basic educational programs are analyzed. The analysis of the correspondence of the faculty of the department to the requirements for the level of education is carried out. the analysis of the compliance of the faculty of the department with the requirement for scientific work in the profile of the disciplines read has been carried out. The content of scientific publications of the department teachers is analyzed. Each of the publications is placed in one of the areas of the future professional activity of the bachelor. It is shown that scientific work can be devoted to the improvement of hardware and software, but also the use of information technologies to solve scientific problems of professional activity of bachelors in almost all areas of training implemented by the department.
Il muro della lingua. Stranieri residenti e apprendimento dell’italiano avanzato a Perugia

The essay presents a research started in 2016 at the University for Foreigners of Perugia and dedicated to the learning of post-basic Italian by adult foreigners permanently residing in Perugia. The results of the survey will be published in a forthcoming volume entitled ‘ Il muro della lingua: stranieri residenti e l'apprendimento dell'italiano avanzato ’ ( The language barrier: resident foreigners and advanced Italian learning ). The first part addresses the issue of learning immigrants' identity, drawing on the definition of Straniero Residente proposed by Donatella Di Cesare. In the second part, I briefly describe the groups of informants and the structure of the questionnaire. The third section provides some examples and illustrates the methodological choices for the linguistics data analysis.
Physical Activity Of Children As A Condition For The Human Capital Development

The issues of children's health and systematic physical education and sports are an important point of strategic planning for the period up to 2035 at the regional and federal levels.The importance of organizing sports classes in ensuring the healthy and harmonious development of children during school education has been recognized by doctors and teachers.At present, the problem of health is exacerbated by the decline in physical activity and optimization as a result of the introduction of digital technologies and the development of robotics.At the same time, the human brain is processing more and more information, increasing mental loads, reducing vision, disrupting blood circulation, which leads to a future decline in efficiency.Despite the fact that the modern concept of human capital is transformed in favor of the intellectual, as many studies show, it is practically impossible to preserve the mental health of a person without physical health.In our view, the greatest potential for physical health can be realized in rural areas, but the problem of physical education of schoolchildren is national.The article presents a theoretical justification for the development of methods of physical rehabilitation of first-graders with diseases of the cardiovascular system.The structure, and content of the technique are revealed and the impact of individualized motor activity on the child's body is shown.
DEIXIS ANALYSIS IN THE SONG LYRICS OF TAYLOR SWIFT “22”

AbstractThis research aims to analyze four types of deixis by using theory of Alan Cruse (2000), interpret the reference meaning of deixis and find out the most dominant type of deixis that found in the song lyrics of Taylor Swift “22”. it consists of such deictic words that has reference meanings. Therefore, the song lyrics can be analyzed using pragmatic approach,specifically about deixis. This study was conducted by using descriptive qualitative method. The data which is used is the song of Taylor Swift “22” and then it is classified into the types of deixis. The findings showed that the types of deixis like person deixis, spatial deixis, temporal deixis, and discourse deixis are used in the song lyrics of Taylor Swift “22”. Based on discussion and finding can be concluded that all deixis are found in all songs, personal deixis is the most being found (15 Deictic words or 51,7%) the word “I, Me, You and We dominate all songs. in the second position Discourse Deixis is found (8 deictic words or 27,6%) and Spatial Deixis (5 deictic words or 17,2%), in the last position is Temporal Deixis (1 Deictic words or 3,4% )Keywords: pragmatics, deixis, song lyric
FastFlowNet: A Lightweight Network for Fast Optical Flow Estimation

Dense optical flow estimation plays a key role in many robotic vision tasks. In the past few years, with the advent of deep learning, we have witnessed great progress in optical flow estimation. However, current networks often consist of a large number of parameters and require heavy computation costs, largely hindering its application on low power-consumption devices such as mobile phones. In this paper, we tackle this challenge and design a lightweight model for fast and accurate optical flow prediction. Our proposed FastFlowNet follows the widely-used coarse-to-fine paradigm with following innovations. First, a new head enhanced pooling pyramid (HEPP) feature extractor is employed to intensify high-resolution pyramid features while reducing parameters. Second, we introduce a new center dense dilated correlation (CDDC) layer for constructing compact cost volume that can keep large search radius with reduced computation burden. Third, an efficient shuffle block decoder (SBD) is implanted into each pyramid level to accelerate flow estimation with marginal drops in accuracy. Experiments on both synthetic Sintel data and real-world KITTI datasets demonstrate the effectiveness of the proposed approach, which needs only 1/10 computation of comparable networks to achieve on par accuracy. In particular, FastFlowNet only contains 1.37M parameters; and can execute at 90 FPS (with a single GTX 1080Ti) or 5.7 FPS (embedded Jetson TX2 GPU) on a pair of Sintel images of resolution 1024x436.
Measuring Discrimination to Boost Comparative Testing for Multiple Deep Learning Models

The boom of DL technology leads to massive DL models built and shared, which facilitates the acquisition and reuse of DL models. For a given task, we encounter multiple DL models available with the same functionality, which are considered as candidates to achieve this task. Testers are expected to compare multiple DL models and select the more suitable ones w.r.t. the whole testing context. Due to the limitation of labeling effort, testers aim to select an efficient subset of samples to make an as precise rank estimation as possible for these models. To tackle this problem, we propose Sample Discrimination based Selection (SDS) to select efficient samples that could discriminate multiple models, i.e., the prediction behaviors (right/wrong) of these samples would be helpful to indicate the trend of model performance. To evaluate SDS, we conduct an extensive empirical study with three widely-used image datasets and 80 real world DL models. The experimental results show that, compared with state-of-the-art baseline methods, SDS is an effective and efficient sample selection method to rank multiple DL models.
Subject Guides: Extended Reality Space: Check-out Procedure

Virtual Reality (VR), Augmented Reality (AR), & Mixed Reality (MR), when taken beyond the bounds is referred to as Extended Reality (XR). This Space is for Research, Development, and Experimentation.