Determinants of Economic Growth in the European Union Countries

This paper reassesses the long-debated relationship between the financial system development and economic growth. We use not only indicators for financial access, efficiency, stability and depth of the bank-oriented financial sector, but we also consider Eurozone membership, corruption perception and competitiveness of countries to examine the determinants of economic growth. We apply a panel data approach to 27 European countries over the 2004–2017 period. By splitting the time span, we examine whether the effect of financial system development, Eurozone membership, corruption perception and competitiveness on economic growth is affected by the occurrence of financial and debt crises. Our results indicate that loans to private sector do not always support economic growth. Our research also reveals that corruption perception has a negative impact on economic growth, and so does membership in Eurozone during a crisis.

A Secure and Fast Access Protocol for Collecting Terminal in Power Internet of Things based on Symmetric Cryptographic Algorithm

The development of Power Internet of Things has brought a variety of access requirements for massive collecting terminals. Based on the characteristics of security attributes of Power Internet of Things, this paper proposes a secure access protocol based on symmetric cryptographic algorithm for the large number of collecting terminals with limited manufacturing cost, computing power and storage resources. This protocol only uses the symmetric cryptographic algorithm which has the fast computing speed and low resource consumption, and the protocol can realize two-way identity authentication between the collecting terminal and master station. At the same time, combined with the historical access mechanism, it improves the access efficiency of the collecting terminals, and realizes the safe and fast access of the collecting terminal. Finally, compared with other protocols, the proposed protocol is also effective in security and performance.

Managing Cloud Intelligent Systems over Digital Ecosystems: Revealing Emerging App Technology in the Time of the COVID19 Pandemic

The COVID19 pandemic has indirectly changed the landscape of the business environment system through cloud intelligence within the digital ecosystem that has as a goal increasing the access, efficiency, effectiveness, equity and quality of business processes through cloud intelligent systems. Cloud intelligent systems are becoming revolutionary in today’s world pandemic causing a complete and drastic change to a variety of industries, including, security, transportation, business, logistics and manufacturing. The main purpose of cloud intelligence systems is to facilitate the ease of access from any location and the management of practical computing resources. One of the challenges faced by cloud technology today is scheduling. The role of scheduling algorithms is very important, since tasks are executed by orders that may need more attention. Here, scheduling algorithms intended to minimize monetary cost and minimize makespan time to execute the workflow are presented. This study proposes cloud intelligent systems apps through an approach to cloud computing scheduling that may lead to great benefits and efficiency. The result is very promising. It showed that there are numerous applications of intelligent systems due to the more advanced hardware being built nowadays, plus business processes advancing to become smarter and more efficient in growing profitably over a destructive digital ecosystem during the COVID19 pandemic. The results indicate that intelligent systems over the cloud play a big role not just for interacting with the world helping businesses grow, but as well as in the advancement for a better tomorrow.

Case simulations for permanent education in Primary Care – School of Patients DF

Background In scenarios of vulnerability that include triple charge of diseases, permanent education in Primary Care and university is fundamental to allow greater access, efficiency and safety for users and health teams. Objectives The School of Patients DF was created as a tool for popular and technical health education, including case simulations for practice. It consists of standard technical content (Chapters), categorized by conditions and diseases, shared by Google Drive and used primarily in selected primary care units of Brazil's capital city. Results Technical simulations are performed in pairs, 1 participant acts as “patient” with script in hand (topics of the training) while the other acts as “health professional” as if in a regular visit. Simulations are timed for 10 minutes for consultation and 5 for feedback, boosting learning. Contents are based on guidelines and protocols from the Ministry of Health, Secretary of Health and Brazilian Community and Family Medicine Society. Since 2016 there have been realized over 1400 simulations, including weekly classes for last term medical students at the capital city federal university. Conclusions Simulations optimize the time necessary for permanent education (15 minutes blocks), avoiding limiting access for triage and consults, allowing smaller groups to train with greater focus and independent of computers or projectors. Key messages Standardizing training and practice bring benefit to patient care and safety. Simulations with structured physical examination are important both for professional as well as students.

Family-based Treatment via videoconference: Clinical recommendations for treatment providers during COVID-19 and beyond

The necessity to employ distance-based methods to deliver on-going eating disorder care due to the novel coronavirus (COVID-19) pandemic represents a dramatic and urgent shift in treatment delivery. Yet, TeleHealth treatments for eating disorders in youth have not been adequately researched or rigorously tested. Based on clinical experience within our clinic and research programs, we aim to highlight the common challenges clinicians may encounter in providing Family-based Treatment (FBT) via TeleHealth for children and adolescents with Anorexia Nervosa and Bulimia Nervosa. We also discuss possible solutions and offer practical considerations for providers delivering FBT in this format. Additional research in TeleHealth treatment for eating disorders in youth may lead to improved access, efficiency, and effectiveness of FBT delivered via videoconferencing.

mzMLb: a future-proof raw mass spectrometry data format based on standards-compliant mzML and optimized for speed and storage requirements

With ever-increasing amounts of data produced by mass spectrometry (MS) proteomics and metabolomics, and the sheer volume of samples now analyzed, the need for a common open format possessing both file size efficiency and faster read/write speeds has become paramount to drive the next generation of data analysis pipelines. The Proteomics Standards Initiative (PSI) has established a clear and precise XML representation for data interchange, mzML, receiving substantial uptake; nevertheless, storage and file access efficiency has not been the main focus. We propose an HDF5 file format ‘mzMLb’ that is optimised for both read/write speed and storage of the raw mass spectrometry data. We provide extensive validation of write speed, random read speed and storage size, demonstrating a flexible format that with or without compression is faster than all existing approaches in virtually all cases, while with compression, is comparable in size to proprietary vendor file formats. Since our approach uniquely preserves the XML encoding of the metadata, the format implicitly supports future versions of mzML and is straightforward to implement: mzMLb’s design adheres to both HDF5 and NetCDF4 standard implementations, which allows it to be easily utilised by third parties due to their widespread programming language support. A reference implementation within the established ProteoWizard toolkit is provided.