Personal Management of Digital Information in University Students from a Gender Perspective

The purpose of the present study is to delve into the process of personal management of digital information among Spanish university students in their final year and to analyze whether there are similarities or differences regarding students’ gender. A non-experimental methodological design has been implemented of an exploratory type and based on a questionnaire as a single data collection instrument. The instrument was validated by means of experts’ judgement, cognitive interview, and construct validity. A total of 2,054 students’ surveys were collected, sourced from all areas of knowledge, in 75 public and private universities. These surveys made it possible to obtain information about the information search, selection, organization, processing, and creation processes. The results revealed that university students have a positive self-concept about their own competence for personal management of information. However, they fail to take advantage of all the possibilities that the digital world offers them. Women search the Internet for more diverse resources than men. They have better judgment when it comes to selecting and processing the information they need. Male students rely more often than female ones on digital mediums when organizing and creating information and choose to publish the information in less complex and more popular formats than their female counterparts. The conclusions of the present study match those of the majority of reviewed studies, namely regarding the organization of information, contextual and social factors which influence the management of information, such as third-party support, and also in relation to the increasing implementation of digital technologies in information management processes.

Artificial Intelligence Advances in the World of Cardiovascular Imaging

The tremendous advances in digital information and communication technology have entered everything from our daily lives to the most intricate aspects of medical and surgical care. These advances are seen in electronic and mobile health and allow many new applications to further improve and make the diagnoses of patient diseases and conditions more precise. In the area of digital radiology with respect to diagnostics, the use of advanced imaging tools and techniques is now at the center of evaluation and treatment. Digital acquisition and analysis are central to diagnostic capabilities, especially in the field of cardiovascular imaging. Furthermore, the introduction of artificial intelligence (AI) into the world of digital cardiovascular imaging greatly broadens the capabilities of the field both with respect to advancement as well as with respect to complete and accurate diagnosis of cardiovascular conditions. The application of AI in recognition, diagnostics, protocol automation, and quality control for the analysis of cardiovascular imaging modalities such as echocardiography, nuclear cardiac imaging, cardiovascular computed tomography, cardiovascular magnetic resonance imaging, and other imaging, is a major advance that is improving rapidly and continuously. We document the innovations in the field of cardiovascular imaging that have been brought about by the acceptance and implementation of AI in relation to healthcare professionals and patients in the cardiovascular field.

The Structure of Social Networks and Its Link to Higher Education Students’ Socio-Emotional Loneliness During COVID-19

Lonely students typically underperform academically. According to several studies, the COVID-19 pandemic is an important risk factor for increases in loneliness, as the contact restrictions and the switch to mainly online classes potentially burden the students. The previously familiar academic environment (campus), as well as the exchange with peers and lecturers on site, were no longer made available. In our cross-sectional study, we examine factors that could potentially counteract the development of higher education student loneliness during the COVID-19 pandemic from a social network perspective. During the semester, N = 283 students from across all institutional faculties of a German comprehensive university took part in an online survey. We surveyed their social and emotional experiences of loneliness, their self-reported digital information-sharing behavior, and their current egocentric networks. Here, we distinguished between close online contacts (i.e., mainly online exchanges) and close offline contacts (i.e., mainly in-person face-to-face exchanges). In addition, we derived the interconnectedness (i.e., the densities of the egocentric networks) and heterogeneity (operationalized with the entropy) of students’ contacts. To obtain the latter, we used a novel two-step method combining t-distributed stochastic neighbor embedding (t-SNE) and cluster analysis. We explored the associations of the aforementioned predictors (i.e., information-sharing behavior, number of online and offline contacts, as well as interconnectedness and heterogeneity of the close contacts network) on social and emotional loneliness separately using two hierarchical multiple linear regression models. Our results suggest that social loneliness is strongly related to digital information-sharing behavior and the network structure of close contacts. In particular, high information-sharing behavior, high number of close contacts (whether offline or online), a highly interconnected network, and a homogeneous structure of close contacts were associated with low social loneliness. Emotional loneliness, on the other hand, was mainly related to network homogeneity, in the sense that students with homogeneous close contacts networks experienced low emotional loneliness. Overall, our study highlights the central role of students’ close social network on feelings of loneliness in the context of COVID-19 restrictions. Limitations and implications are discussed.

Possibilities of Correction of Alimentary Status in the Era of Digitalisation

A balanced diet contributes to the prevention of nutritionallyrelated diseases. The purpose of this paperwas to demonstrate how tools of the digital economy could be used to help improve nutritional status, using the example of Microsoft Excel. To improve nutritional status, reliable digital information is needed on the content of macronutrients and micronutrients in raw materials and foodproducts. Then the correction of the diet or formulation of an individual product can be carried out. The database “Chemical composition of food raw materials and food products” was developed using Microsoft Excel; this database is a digital tool for quick and reliable information about the nutrient profile of Russian raw materials and food products. Itobtained official state registration under the number 2012620334. The database is a series of spreadsheets that are interconnected by common key fields. For each type of food raw material or food product, the database contains descriptors: the main chemical composition (mass fraction of water, protein, fat, saturated fatty acids, polyunsaturated fatty acids, cholesterol, mono- and disaccharides, starch, digestible carbohydrates, dietary fibre, ash, organic acids); minerals (sodium, potassium, calcium, magnesium, phosphorus, iron); vitamins (A, B1 , B2 , PP, C, beta-carotene, retinol equivalent, tocopherol equivalent, niacin equivalent); and energy value. Using the database can help to speed up and facilitate calculating individual and group diets and can assist in adjusting the nutritional status for healthier outcomes. Keywords: healthy nutrition, nutritional status, chemical composition, database, digitalisation, Microsoft Excel

2022 roadmap on neuromorphic computing and engineering

Modern computation based on the von Neumann architecture is today a mature cutting-edge science. In the Von Neumann architecture, processing and memory units are implemented as separate blocks interchanging data intensively and continuously. This data transfer is responsible for a large part of the power consumption. The next generation computer technology is expected to solve problems at the exascale with 1018 calculations each second. Even though these future computers will be incredibly powerful, if they are based on von Neumann type architectures, they will consume between 20 and 30 megawatts of power and will not have intrinsic physically built-in capabilities to learn or deal with complex data as our brain does. These needs can be addressed by neuromorphic computing systems which are inspired by the biological concepts of the human brain. This new generation of computers has the potential to be used for the storage and processing of large amounts of digital information with much lower power consumption than conventional processors. Among their potential future applications, an important niche is moving the control from data centers to edge devices. The aim of this Roadmap is to present a snapshot of the present state of neuromorphic technology and provide an opinion on the challenges and opportunities that the future holds in the major areas of neuromorphic technology, namely materials, devices, neuromorphic circuits, neuromorphic algorithms, applications, and ethics. The Roadmap is a collection of perspectives where leading researchers in the neuromorphic community provide their own view about the current state and the future challenges for each research area. We hope that this Roadmap will be a useful resource by providing a concise yet comprehensive introduction to readers outside this field, for those who are just entering the field, as well as providing future perspectives for those who are well established in the neuromorphic computing community.

Augmented Reality: Focusing on Photonics in Industry 4.0

Industry 4.0 (or 4^th industrial revolution) facilitates horizontal and vertical digital information flow along value chains up to the end-customer and is highly relevant in a broad variety of industries. Augmented reality (AR) is a key technology in Industry 4.0, which connects the virtual and real-world environments using such digital information flows. In doing so, the technology relies upon the systems that includes hardware and software components. Particularly, optics and photonics are of much importance in the display and processing of information in these systems. However, a particular challenge is that the AR-based systems have not been adopted in the industry as much as other technologies even after several decades of their existence. Based on review of academic literature, an industrial survey and experiments conducted in the industry, this article aims to identify success factors and challenges of AR systems and metrics of photonic components that can form the basis of an AR* framework for photonics-based system design for future research. @font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:3 0 0 0 1 0;}p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-unhide:no; mso-style-qformat:yes; mso-style-parent:""; margin:0cm; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman",serif; mso-fareast-font-family:"Times New Roman"; mso-ansi-language:EN-US; mso-fareast-language:EN-US;}.MsoChpDefault {mso-style-type:export-only; mso-default-props:yes; font-size:10.0pt; mso-ansi-font-size:10.0pt; mso-bidi-font-size:10.0pt; mso-ansi-language:EN-US; mso-fareast-language:EN-US;}div.WordSection1 {page:WordSection1;}

Augmented Reality: Focusing on Photonics in Industry 4.0

Industry 4.0 (or 4^th industrial revolution) facilitates horizontal and vertical digital information flow along value chains up to the end-customer and is highly relevant in a broad variety of industries. Augmented reality (AR) is a key technology in Industry 4.0, which connects the virtual and real-world environments using such digital information flows. In doing so, the technology relies upon the systems that includes hardware and software components. Particularly, optics and photonics are of much importance in the display and processing of information in these systems. However, a particular challenge is that the AR-based systems have not been adopted in the industry as much as other technologies even after several decades of their existence. Based on review of academic literature, an industrial survey and experiments conducted in the industry, this article aims to identify success factors and challenges of AR systems and metrics of photonic components that can form the basis of an AR* framework for photonics-based system design for future research. @font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:3 0 0 0 1 0;}p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-unhide:no; mso-style-qformat:yes; mso-style-parent:""; margin:0cm; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman",serif; mso-fareast-font-family:"Times New Roman"; mso-ansi-language:EN-US; mso-fareast-language:EN-US;}.MsoChpDefault {mso-style-type:export-only; mso-default-props:yes; font-size:10.0pt; mso-ansi-font-size:10.0pt; mso-bidi-font-size:10.0pt; mso-ansi-language:EN-US; mso-fareast-language:EN-US;}div.WordSection1 {page:WordSection1;}

CONSIDERATION AND UTILIZE OF LIBRARY WEB RESOURCES BY FACULTY OF ENGINEERING COLLEGE IN EAST GODAVARI DISTRICT, ANDHRA PRADESH: A STUDY

Digital information resources are fetching more and more imperative for the academic community. The increase of technical colleges in Andhra Pradesh are quiet noteworthy and in advance of various states of India. Digital resources are measured as imperative resources of teaching, research and training. Consequently, digital resources play a important role in academic libraries as they are mostly jingle for the support of academic brilliancy and research. For these research questionnaires were distributed to the faculty members of 10 selected engineering colleges in East Godavari district of Andhra Pradesh. Accordingly, 400 questionnaire distributed amongst the faculty members of 10 engineering colleges. Out of 400, only 336 questionnaires were received back that is the overall response rate is 84%.. 27.98% of the faculties are utilize digital resources for bring up to date Knowledge. It is also found from the study that preponderance of the faculty members were satisfied with available digital resources.

The Art of Digital Curation

Artists have long engaged with digital and networked technologies in critical and creative ways to explore both new art forms and novel ways of disseminating artworks. Net-based artworks are often created with the intent to circulate outside traditional institutional spaces, and many are shared via artist-run platforms that involve curatorial practices distinct from those of museums or commercial galleries. This article focuses on a particular artist-run platform called Paper-Thin, characterizing the activities involved in managing the platform as digital curation in a polysemous sense – as both the curation of digital artworks and the stewardship of digital information in a complex technological ecosystem. While scholars and cultural heritage professionals have developed innovative preservation strategies for digital and new media artworks housed in institutional collections, the ongoing care of artworks shared through networked alternative spaces is largely carried out co-operatively by the artists and curators of these platforms. Drawing on Howard Becker’s sociological theory of art worlds as networks of co-operative actors, this article describes the patterns of co-operative work involved in creating, exhibiting, and then caring for Net-based art. The article outlines the importance, for cultural heritage professionals, of understanding the digital-curation practices of artists, as these artist-run networked platforms demonstrate emergent approaches to the stewardship of digital culture that move beyond a custodial paradigm.