Evaluation of the economic impact of COVID-19 on Brazilian private dental clinics: A cross-sectional study

BACKGROUND: The changes in dental care in the face of the COVID-19 pandemic resulted in the need for greater financial investment by dentists in biosafety measures and increase in the costs of dental consultations. OBJECTIVE: To evaluate the economic impact of the COVID-19 pandemic on dental practices in private clinics in Brazil. METHODS: A cross-sectional study was carried out, using an online questionnaire indexed in Google Forms, and distributed among dentists. The data obtained were analyzed using the IBM SPSS 25.0 software, evaluating the factors associated with strong or very strong impact on the participants’ income and the factors that motivated the dentists to look for a credit line. Multiple logistic regression models were constructed to identify the associated factors. Variables with p < 0.05 were considered statistically significant. RESULTS: Most participants were female, with a median age of 35 years. Dentists who are most concerned about their professional future (OR = 3.134; 95% CI: 1.804–5.445), who have longer office hours (OR = 2.056; 95% CI: 1.198–3.529), who had the greatest impact on the flow of patients (OR = 16.358; 95% CI: 9.408–28.443) and in need of investing in infrastructure (OR = 1.756; 95% CI: 1.014–3.041), had the greatest impact on monthly earnings. CONCLUSIONS: The pandemic and the new biosafety recommendations for care during this period had a negative impact on the income of Brazilian dental offices and increased the chance of seeking credit to alleviate the financial deficit.

Research on the Influence Mechanism of Block Chain on the Credit of Transportation Capacity Supply Chain Finance

This paper aims at the promotion of the application of inclusive financing into transportation capacity financing by combining transportation capacity supply chain with block chain technology as a brand-new financing topic. It focuses on the influencing mechanism by block chain on credit access, credit line, and credit supervision. From the perspective of “transportation” finance, the application of block chain in different scenarios is demonstrated after analyzing the attenuation process of credit transmission in the supply chain, the reviewing of two credit line evaluation methods of business self-compensation and credit guarantee, and the reviewing of regulatory requirements in transaction closed-loop, delivery closed-loop, and capital closed-loop; therefore the 3 major influencing mechanisms by block chain on the transportation capacity supply chain financing credit granting are discovered, indicating the effective improvement of financial institutions participation and better credit line for the financing of micro, medium, and small transportation enterprises (SMEs) by the application of block chain technology.

Correction to: Correlation Structures between Satellite All-Sky Infrared Brightness Temperatures and the Atmospheric State at Storm Scales

The article “Correlation Structures between Satellite All-Sky Infrared Brightness Temperatures and the Atmospheric State at Storm Scales”, written by Yunji ZHANG, Eugene E. CLOTHIAUX, and David J. STENSRUD was originally published electronically on the publisher’s internet portal on 30 of April 2021 without open access. With the author(s)’ decision to opt for Open Choice, the copyright of the article changed on 26 of October 2021 to © The Author(s), 2021 and the article is forthwith distributed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0.The original article has been corrected.

Correction to: Conditional Action and Quantum Versions of Maxwell’s Demon

The article “Conditional Action and Quantum Versions of Maxwell’s Demon”, written by Heinz‑Jurgen Schmidt, was originally published electronically on the publisher’s internet portal on 30 September 2020 without open access. With the author(s)’ decision to opt for Open Choice the copyright of the article changed on 17 September 2021 to © The Author(s) 2020 and the article is forthwith distributed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0. The original article has been corrected.

Correction to: Fiscal Policy, Multidimensional Poverty, and Equity in Uganda: A Child-Lens Analysis

The article ‘Fiscal Policy, Multidimensional Poverty, and Equity in Uganda: A Child-Lens Analysis’, written by Jose Cuesta, Jon Jellema and Lucia Ferrone was originally published electronically on the publisher’s internet portal on 18 of May 2021 without open access. With the author(s)’ decision to opt for Open Choice the copyright of the article changed on 14 of September 2021 to © The Author(s), 2021 and the article is forthwith distributed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0.

Risk-taking Channel of Bank Liquidity Creation Affecting Real Economy: Recommendation to tobacc industry

Objection: We investigate whether risk-taking channel exsits in the interaction of monetary policy, macroprudential regulation, liquidity creation and enterprise output. Methods: We adopt the mediating effect model with stepwise regression, Sobel and Bootstrap test to identify risk-taking mechanism of liquidity creation impact on real economy. Results: We find that pricing tools of monetary policy and macroprudential tools can inhibit the changes of risk-taking and liquidity creation caused by quantitative tools. In particular, the increasing systemic risk arises the off-balance-sheet liquidity creation. Consequently, risk-taking is an important channel for regulating affect liquidity creation. We also find that liquidity creation can increase business income through credit line. Conclusions: Reducing the internal conflict between monetary policy and macroprudential regulation and improving the banks’ soundness is beneficial to liquidity creation, further stimulating the sustainable development of enterprises. In particularly, bank should innovate credit products, for example tobacco loan in Yunnan or Gui Zhou, to support of regional economic growth.

Liquidity Provision and Co-insurance in Bank Syndicates

We study the capacity of the banking system to provide liquidity to the corporate sector in times of stress and how changes in this capacity affect corporate liquidity management. We show that the contractual arrangements among banks in loan syndicates co-insure liquidity risks of credit line drawdowns and generate a network of interbank exposures. We develop a simple model and simulate the liquidity and insurance capacity of the banking network. We find that the liquidity capacity of large banks has significantly increased following the introduction of liquidity regulation, and that the liquidity co-insurance function in loan syndicates is economically important. We also find that borrowers with higher reliance on credit lines in their liquidity management have become more likely to obtain credit lines from syndicates with higher liquidity. The assortative matching on liquidity characteristics has strengthened the role of banks as liquidity providers to the corporate sector.

An Intelligent Control Model of Credit Line Computing in Intelligence Health-Care Systems

Technologies such as machine learning and artificial intelligence have brought about a tremendous change to biomedical computing and intelligence health care. As a principal component of the intelligence healthcare system, the hospital information system (HIS) has provided great convenience to hospitals and patients, but incidents of leaking private information of patients through HIS occasionally occur at times. Therefore, it is necessary to properly control excessive access behavior. To reduce the risk of patient privacy leakage when medical data are accessed, this article proposes a dynamic permission intelligent access control model that introduces credit line calculation. According to the target given by the doctor in HIS and the actual access record, the International Classification of Diseases (ICD)-10 code is used to describe the degree of correlation, and the rationality of the access is formally described by a mathematical formula. The concept of intelligence healthcare credit lines is redefined with relevance and time Windows. The access control policy matches the corresponding credit limit and credit interval according to the authorization rules to achieve the purpose of intelligent control. Finally, with the actual data provided by a Grade-III Level-A hospital in Kunming, the program code is written through machine learning and biomedical computing-related technologies to complete the experimental test. The experiment proves that the intelligent access control model based on credit computing proposed in this study can play a role in protecting the privacy of patients to a certain extent.