Reviewerly/exHarmony huggingface dataset:
WEB-BASED APPLICATION FOR ENHANCING ON-SITE AND REMOTE DATA COLLECTION PROCESS DURING PANDEMIC: AN EXPLORATORY STUDY

The COVID-19 pandemic has changed the way data collection for research takes place around the world. Such adaptation has forced a turn of research methodologies in conducting research. This study focuses on on-site and remote digital data collection methods that can be adopted during the pandemic. The method of research and data collection often requires a group of researchers to travel to a specific site to meet communities for data collection, which is not permissible during the pandemic. This paper explores the use of web-based application for documentation of the existing natural and built features, and land management system for identification of the rural community’s land information. In this paper, the use of a web-based application, namely i-LULACAST, is highlighted. The application was designed and used for data entry and management of the rural community with fewer human resources on-site while still maximizing the number of datasets needed for analysis. The system was built using Codelgniter Application 4.0.4 to develop libraries to link databases and perform operations such as data entry, location, and uploading pictures for particular data. This system has also shown prospects for other purposes, such as census, landscape data entry, and contact tracing for medical purposes.
Shunts

Aharonov et al. introduced class of quantum walks where the transition matrix is not (in general) a product of two reflections. (We call these shunt-decomposition walks.) In consequence, analysis of these walks is more difficult than the walks met with in earlier chapters. However the state space of walks is still the space of complex functions on the arcs of a graph. We give a description of these walks in graph theoretic terms, and study their behaviour.
Research on the SOTIF of intelligent connected vehicle cooperative sensing system based on road-side infrastructure support

The SOTIF has become the biggest obstacle to the large-scale commercial use of intelligent driving. Based on the domestic research status, this paper points out that there is a problem of heavy intelligence and weak connected in SOTIF, which deviates from the technological route of the coordinated development of intelligence and connected in China. In view of this problem, combined with my work practice, under the guidance of ISO21448 specification, this paper puts forward a SOTIF research framework for Cooperative Sensing System based on Road-side Infrastructure Support. Its feature is that it takes the vehicle perception as the core, uses the road-side perception system as a part of the vehicle sensing for data fusion and target recognition, and proposes an overall evaluation framework and quantitative index system, which provides ideas and directions for further research.
The smartphone role in the era of information technology

The world today is faced with huge achievements in development of technology and this enforce and speed up the process we wish for life. Using technology is a coin with two different sides of positive and may negative that should be cared not to make something worse than it is, then we should be aware of the advantages and disadvantages of the things we use to decrease the possible damages that can be resulted. Smartphone one of the technology era tools can make the best opportunity if it is understood well, mostly by the youth to get the best use of it, however, its properties and capabilities with various functions is beyond the scope of the youth understanding in some parts. The parents, teachers, society and the rulers’ duties should come to view and manage the status with a look toward the future. Neglecting the field, we are talking about something that may result more negative and destructive outcomes for all individual in our planet soon or late, then an effort to manage and or control the problem seems more necessary than ever.
FLUTTER: THE FUTURE OF APPLICATION DEVELOPMENT?

At the end of 2018 Google released Flutter, a new framework to program cross-platform apps for Android and iOS.It seems that it could have a similar impact on the digital world as Java technology at the time.This paper gives an overview of the philosophy and architecture of Flutter.The advantages and differences of Flutter compared to other techniques are discussed.
USING E-STUDY MATERIALS TO PROMOTE MATHEMATICS SELF-LEARNING AT UNIVERSITY

At present, issues of the education system and quality improvement are topical in the whole world.Today, universities need to be prepared to offer young people education that makes them competitive in these new working conditions.When considering development of the education, they shall understand necessity of changing both content and form of the studies.As today's youth grow in an era of digital technologies and is dwelling in a virtual environment, they increasingly are demanding flexible study format that complies with their usual habitat.Therefore, the main task of universities and other higher educational establishments at this time of change is to develop intellectual skills, exploratory research attitudes and build ICT skills in a new specialist.Mathematical study programs and didactics need to be improved on the basis of ICT (paying more attention to the application of mathematics, including using ICT), creating modern technology-based learning materials and ensuring the Internet access.In order to increase students' responsibility for the learning process and to promote the ability to independently acquire knowledge, skills and abilities, it is necessary to create the preconditions for self-directed learning in higher education institutions, that is, students themselves participating in setting the purpose of studies, planning the acquisition of the subject, presentations, and evaluating their work together by agreeing on final assessment with the assessment of peers and teachers.As known, e-studies and self-assessment tests are the basis of self-directed learning.Therefore, the purpose of this research is to determine the use of various e-study materials in the learning of a mathematics course, as well as the importance of tests in the selfassessment of mathematical knowledge and skills.The findings of this study include the analysis of the usage of e-study materials and tests for assessing students' mathematical knowledge and skills, as well as determination of the importance of self-assessment tests in the learning of a mathematics course, based on the students' opinion.
MIDDLE SCHOOL STUDENTS' INFORMATION AND COMMUNICATION LITERACY DEFICITS STUDY

Some results of the basic school (14 years old) students' information and communication competence (ICC) in the digital environment study are discussed.About 30,000 students (14 years old) took part in the study.Information and Communication Literacy is considered as the ability to use digital technologies to search, manage, integrate, evaluate and create information.It is one of the key competencies that all of basic school graduates should obtain.As the availability of digital technologies grows, the gap in the ability of students to use them productively becomes more and more noticeable.The study identifies the actual students' information and communication competencies deficits at the stage of middle school completion.Performance-based online Information and Communication Literacy test (ICL-test) was the main research tool of the study.An attempt was made to determine to what extent the level of students' ICC is related to the work of the school, and to what extent it depends on the extracurricular environment.The results of the study indicate a strong connection between the ICC of ninth graders and their out-of-school environment and a weak connection with the work of the school.The reasons for the insufficient level of the ICC in a significant part of the graduates of the basic school are discussed and recommendations for its increase are proposed.It was found that ICL-test is a reliable online instrument to measure students' information and communication competence.
Effects of Rotational Representation of Spatio-Temporal Cubes and Spatial Ability on Information Search

The purpose of this study was to explore which rotational representation, viewpoint rotation or object rotation, is more useful in search task where perceptual interaction with the data being manipulated exists using a spatio-temporal cube displaying cultural collection data.The horizontal data plane of the cube represented a geographical map, and the vertical axis represented time as an upward spatial dimension.Users manipulated the cube to identify the country and time period in which certain artworks with the characteristics specified in question items, i.e., coins or pottery, were most commonly used.In the viewpoint rotation condition, the background flowed along with a horizontal rotation, as if the users were moving around a stationary cube.In the cube rotation condition, the cube was rotated in front of the user's eyes, and the background did not change.Using spatial reference frame theory, we predicted that the advantage of viewpoint rotation, as described in imagery studies, holds true for the use of a visualization system in which the trajectory of the cube's rotation during manipulation was visible.Users were able to locate information more accurately when using viewpoint rotation.This was true for both users with high and low spatial abilities.
Semisupervised Surveillance Video Character Extraction and Recognition With Attentional Learning Multiframe Fusion

Character extraction in the video is very helpful to the understanding of the video content, especially the artificially superimposed characters such as time and place in the surveillance video. However, the performance of the existing algorithms does not meet the needs of application. Therefore, the authors improve semisupervised surveillance video character extraction and recognition with attentional learning multiframe feature fusion. First, the multiframe fusion strategy based on an attention mechanism is adopted to solve the target missing problem, and the Dense ASPP network is introduced to solve the character multiscale problem. Second, a character image denoising algorithm based on semisupervised fuzzy C-means clustering is proposed to isolate and extract clean binary character images. Finally, for some video characters that may involve privacy, traditional and deep learning-based video restoration algorithms are used for characteristic elimination.
Multi-frame optimisation for active stereo with inverse renderingto obtain consistent shape and projector-camera posesfor 3D endoscopic system

3D measurement of inside human body becomes important and several techniques have been proposed. Among them, ultra-small pattern projector with off-the-shelf endoscope is promising because of stability, accuracy and cost-effectiveness. One drawback of the system is that since 3D shape is reconstructed for each frame while endoscope head is moving, they are not registered. In addition, shapes are distorted independently, since the position of the projector cannot be fixed to the head. In this paper, we propose a novel bundle adjust (BA) algorithm to solve both distortion and shape registration problems for a 3D endoscope system based on pattern projection. By using the proposed method, multiple measurements that potentially have scale inconsistencies and shape distortions are registered, with simultaneous correction of inter-frame inconsistencies. The effectiveness of the technique is proved for measurements of concave shapes made of clay, phantom models, and a real stomach of a pig.
Deep fusion prior for plenoptic super-resolution all-in-focus imaging

Plenoptic imaging offers not only two-dimensional projections but also adds light array directions, thus supporting single-shot all-in-focus imaging. Its poor spatial resolution becomes an obstacle to high-quality all-in-focus imaging performance. Although various super-resolution (SR) methods have been designed and combined with multifocus image fusion (MFIF), high-quality multifocus fused SR images can be reconstructed for various applications, almost all of them deal with MFIF and SR separately. To our best knowledge, we first unify MFIF and SR problems as the multifocus image SR fusion (MFISRF) in the optical perspective and thus propose a dataset-free unsupervised framework named deep fusion prior (DFP) to address such MFISRF, particularly for plenoptic SR all-in-focus imaging. Both numerical and practical experiments have proved that our proposed DFP approaches or even outperforms those state-of-the-art MFIF and SR method combinations. Therefore, we believe DFP can be potentially used in various computational photography applications. The DFP codes are open source and available at http://github.com/GuYuanjie/DeepFusionPrior.
PROSPECTS FOR THE IMPLEMENTATION OF HEURISTIC ALGORITHMS FROM THE EVOLUTIONARY COMPUTING AS NEW EXPERIMENTAL APPROACHES IN SYNTHETIC BIOLOGY: IN SILICO TESTS

In vitro evolution ("evolution in a test tube", directed evolution) is a modern technology used in bioengineering that mimics the process of natural selection to direct proteins or nucleic acids to acquire a specific function.One of the most promising directions in the development of modern technologies for the evolution of macromolecules in vitro is the use of microdroplet devices based on the principles of microfluidics.A significant increase in the efficiency and cost reduction of in vitro evolution approaches can be achieved through the development and analysis of new heuristic evolutionary algorithms.This goal is achieved by numerical tests on computer models of real molecular genetic experiments (in silico experiments).This work was inspired by our recent key observation that many heuristic evolutionary algorithms can be associated with new engineering solutions for the modules of such microfluidic devices.Here, we have proposed and simulated new approaches to in vitro evolution with the prospect of their implementation in experimental microfluidic setups.In this report, we have demonstrated in our in silico experiments that some algorithms that have proven themselves in evolutionary computing turn out to be significantly more efficient than those algorithms that model the routine approaches of modern microdroplet microfluidics.Prospects for the implementation of such promising algorithms in new experimental approaches are discussed.
IDENTIFYING AND CHARACTERIZING CONCEPTS IN UNSTRUCTURED TEXTS USING AUTOMATIC ANNOTATION

Text annotation is an important and useful activity in semantic text analysis processes.The introduction of notes and marks in texts is one of the most common ways of valuing the content and revealing the semantics of a text, allowing its readers to have a more concrete idea of what is expressed in it.For a long time, text annotation processes were done manually often carried out in an ad hoc manner, without using a concrete method.It was a very time-consuming and labor-intensive process of different natures.Today, the great development of natural language processing, machine learning and mining text, promoted a strong emergence of applications in several domains.Text annotation was no exception.Through the combination of natural language processing and machine learning mechanisms, it is possible to develop systems that analyze texts, written in natural language, identifying words, creating contexts, and discovering and maintaining tags, their relationships and annotations, in an automatic way.In this paper, we present an automatic annotation system conceived and developed specifically for tagging the texts of the Book of Properties, a codex containing the inventory of the Archbishop's Table of Braga's properties (Portugal) in the 17th century.In addition to a general characterization of the system, we also describe the various stages of its annotation process with references taken from the Book of Properties.
Sound and Video Examples – Issue 27(3)

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On Adaptive Grid Approximations in the Weight Norm

The purpose of this paper is to develop an algorithm construction of adaptive variation-grid methods for classes of one-dimensional boundary value problems of the second order. Classes of non-degenerate problems are considered, as well as classes of problems with weak and strong degeneracy. The results obtained are suitable for learning computer systems designed to solve problems of the aforementioned classes. To achieve the set goals, the corresponding approximation theorems are established with degeneration. Ways of adaptive choice approximation space at a variation-grid method in a one-dimensional boundary value problem are considered. The locality of the approximation is substantially used. The considerations are reduced to an iterative process, while building an adaptive grid. Numerical examples illustrating the effectiveness of the proposed approach are given.
Peran Literasi Baca Tulis Dalam Menumbuhkan Minat Membaca Siswa di Madrasah Tsnawiyah Negeri

The School Literacy Movement (GLS) which is being promoted by the MTsN 2 Medan school which aims to increase students' interest in books, even if it is only a sheet and frees them to read any book. However, not all students are enthusiastic about reading literacy, even though the school has made extracurriculars based on reading and writing. The research method used was descriptive research using a survey approach. The subjects studied were all students at MTsN 2 Medan from grades VI, VII, XI, however, it was narrowed down to 30 people, with 10 samples taken at each grade level. Collecting data in the study was carried out by interview, observation, and documentation methods. The data obtained in this study were then analyzed using qualitative descriptive analysis and focused on using the Miles &amp; Huberman model which consisted of data reduction, presentation, and conclusion. The results of the analysis of this study indicate that the reading literacy activities carried out by MTsN 2 Medan schools provide good results and the growing interest in reading and writing of students. 'an. And the school also makes every class and corner of the school in the form of slogans that are easy for students to read and each class is provided with bookshelves that make it easier for students to read.
Contributo alla validazione del Digital Mindset Questionnaire in un campione di studenti universitari italiani

This study proposes the development and validation of the Digital Mindset Questionnaire (DMQ), an instrument aimed at investigating the Digital Mindset (DM), in a sample of 396 Italian university students (mean age 23.26 years; 73% F). The development of DMQ was based on the conceptualization of DM as a set of personal beliefs about technology, which is expressed through attitudes of openness or closure toward digital elements. To explore factorial and criterion validities, exploratory and confirmatory analyses were conducted and the relationships of DMQ with e-learning acceptance, technostress, and resistance to change were investigated. Results reveal good psychometric properties of DMQ and underlined the crucial role of DM in university learning contexts mediated by technology.
Enterprise Linux Distributions

This chapter begins the journey into enterprise Linux environments. In this chapter, we will start by looking at some common enterprise Linux distributions. We will first look at where these distributions came from and get a good understanding of why they are the leading enterprise Linux solutions available today.
Effective Scientific Writing Series: Part I

A scientific manuscript is a formal document that is submitted for publication in a scientific journal. The format of a scientific manuscript varies depending on the journal, but usually includes an abstract, introduction, materials and methods, results, discussion, and references sections. In this article, we will provide an overview of the elements of a scientific manuscript and how to prepare one for submission to a journal. In this article, we will be discussing the process of writing a scientific manuscript in different parts. We will go over the different sections of a scientific manuscript and what should be included in each one. With this knowledge in hand, you will be able to start writing your own scientific manuscripts. The process of writing a scientific manuscript can be daunting, but it is a necessary part of sharing your research with the world. We will give you a step-by-step guide on how to write a scientific manuscript so that you can get your work published in a journal. This article will highlight the process of selecting a journal for the scientific manuscript. Read more . . .
"Rational and Emotional Factors in Music and Performance Aesthetics "

"The leading task of the research is the definition and analysis of psychological factors, which depend not only on the formation, but also on the independent improvement of already acquired features of musical skills, including those that allow a performing musician to influence his/her own emotional sphere, keep it under constant control, adapt to the innate temperament and skills already formed in the process of professional training and performance practice. It is the analysis of these factors that makes it possible to recommend ways and methods of creating an individual style of a musician’s concert activities, as well as the constant self-improvement of his/her skills, which is necessary for a performing musician. The emotional and rational assimilation processes presented for analysis as initial factors of creative activity form the aesthetic relationship of the individual to reality directly through the subject of active communication with art (musical and instrumental, in particular). Keywords: performance process, psychology, aesthetics, motivation, rational and emotional factors "
Meta-Learned and TCAD-Assisted Sampling in Semiconductor Laser Annealing

While applying machine learning (ML) to semiconductor manufacturing is prevalent, an efficient way to sample the search space has not been explored much in key processes such as lithography, annealing, deposition, and etching. The aim is to use the fewest experimental trials to construct an accurate predictive model. Here, we proposed a technology computer added design (TCAD)-assisted meta-learned sampling approach. The meta-learner adjusts the way of sampling in terms of how to hybridize the TCAD with ML when selecting the next sampling point. While an advanced semiconductor process is expensive, efficient sampling is indispensable. Using laser annealing as an example, we demonstrate the effectiveness of the proposed algorithm where the mean square error (MSE) at the first 100 sampling steps using TCAD-assisted meta-learned sampling is significantly lower than the pure ML approach. Besides, with reference to the pure TCAD approach, the TCAD-assisted sampling prevents the MSE degradation at 200–400 sampling steps. The proposed approach can be used in other manufacturing or even any applied machine intelligence fields.