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The development of financial technology has promoted the innovation and digital transformation of commercial banks. Through digital transformation, commercial banks can improve bank efficiency and operational capabilities. Through empirical analysis, this study explored the relationship between digital bank transformation and commercial bank operating capabilities and how COVID-19, bank categories, and enterprise life cycles affect the relationship between digital bank transformation and commercial bank operating capabilities. This study selected data from China's commercial banks from 2011 to 2021 and used the regression method of fixed effects to conduct an empirical analysis. The research results show that the digital transformation of banks has improved the operational capabilities of commercial banks. Further analysis showed that the emergence of COVID-19 has negatively affected their relationship. At the same time, compared with rural commercial banks and commercial banks in the recession and phase-out periods, non-rural commercial banks and commercial banks in the growth and maturity stages play a more vital moderating role in the impact of the digital transformation of banks on the financial performance of commercial banks. The main research object of this study is Chinese commercial banks, and this study examines the results of banks' digital transformation and enriches the research on digital transformation. At the same time, this study is helpful to investors who like investment banks and has good practical significance.
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The purpose of the article is to show the negative impact of the COVID-19 on GDP (Gross Domestic Product) growth in Kyrgyzstan. The research methodology is based on the works of domestic scientists and information and analytical reviews regarding GDP in Kyrgyzstan. An analysis was made of GDP growth after the country's accession to the EAEU (Eurasion Economic Union). Our country sought to join this union, and as it turned out, not in vain. The positive results from the performance in the EAEU are shown, especially for such a macroeconomic indicator as GDP. The negative impact of the COVID-19 pandemic on GDP in Kyrgyzstan and in other countries has been revealed. The consequences of the pandemic have been devastating for almost all countries. An analysis was made of the decline in GDP during the pandemic in Kyrgyzstan. Measures are given to ensure positive dynamics of the economic growth, such as the creation of favorable conditions for entrepreneurship;improving the business and stimulating investment activity;creating conditions for increasing productivity in the real sector of the economy;strengthening foreign trade relations and developing the domestic market. The obtained scientific results can be used in the program to improve the economic situation in the country. © 2023 The Authors.
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At present, the filtration of virus and other small particles in the air by meltblown cloth produced by electret treatment mainly depends on its electrostatic adsorption mechanism. However, because the surface charge of melt blown fabric can not be maintained for a long time, it can not maintain high efficiency filtration for a long time. Therefore, there is no guarantee for the medical staffs to not be infected by COVID-19. Therefore, it is necessary to improve the mechanical filtration efficiency of melt blown fabric in the situation of an electric charge loss. In this paper, nylon 6 (PA6) nanofibers were electrospun on melt blown cloth by electrospinning technology, and a sandwich material with melt blown cloth as surface layer and PA6 nanofibers as middle layer was made by hot- pressing technology;the surface morphology, thermal and mechanical properties of the sandwich material were characterized, and its filtration performance was tested. The experimental results show that the surface integrity of the sandwich material is high, and the diameter of nanofibers can reach about 67 nm;without the electret treatment, the filtration efficiency of the sandwich material for particles in an size of 0.2 μm is more than 95%,while the filtration efficiency of non-woven fabric is zero;the filtration resistance of the material is about 284 Pa, which is suitable for personal protection. © 2023 Chengdu University of Science and Technology. All rights reserved.
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PurposeThis study analyzes in-depth how knowledge-intensive small and medium-sized enterprises (SMEs) can achieve higher new product development (NPD) process performance in the epidemic era and examine the internal development mechanism of knowledge-intensive SMEs in the process of continuous digital transformation.Design/methodology/approachThis issue is tested with partial least squares on data collected via a survey conducted from November 2021 to February 2022. The sample comprises 487 knowledge-intensive SMEs operating in China.FindingsThe results indicate that one form of cross-functional ambidexterity, market development strategy (MDS), plays an important role in process performance from an inside-out financial perspective and an outside-in customer perspective. Simultaneously, product innovation efficiency (PIE) mediates the relationship between MDS and the above results. Big data analytics capabilities (BDACs) positively regulate the relationship between MDS and PIE.Research limitations/implicationsThe authors do not consider other contingency factors. Future research should introduce influential factors such as leadership and competitive intensity to further distinguish the effects of MDS on NPD process performance.Practical implicationsThe study findings offer suggestions to help knowledge-intensive SME managers better manage their NPD process by making better use of their limited resources in developing countries such as China.Originality/valueThis study is one of only a few to adopt a process-oriented perspective to specifically examine how one form of cross-functional ambidexterity, MDS, impacts knowledge-intensive SME process performance in the epidemic era. This study also extends the theoretical framework of cross-functional ambidexterity to BDAC research.
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In December 2019, a novel coronavirus broke out in Wuhan City, Hubei Province, and, as the center of the coronavirus disease 2019 (COVID-19) epidemic, the economy and production throughout Hubei Province suffered huge temporary impacts. Based on the input–output and industrial pollution emissions data of 33 industrial industries in Hubei from 2010 to 2019, this article uses the non-parametric frontier analysis method to calculate the potential production losses and compliance costs caused by environmental regulations in Hubei's industrial sector by year and industry. Research has found that the environmental technology efficiency of the industrial sector in Hubei is showing a trend of increasing year-on-year, but the overall efficiency level is still not high, and there is great room for improvement. The calculation results with and without environmental regulatory constraints indicate that, generally, production losses and compliance costs may be encountered in the industrial sector in Hubei, and there are significant differences by industry. The potential production losses and compliance costs in pollution-intensive industries are higher than those in clean production industries. On this basis, we propose relevant policy recommendations to improve the technological efficiency of Hubei's industrial environment, in order to promote the high-quality development of Hubei's industry in the post-epidemic era.
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A body of empirical literature exists which sets out how the accommodation industry performs across a range of locations. However, research on tourism regions in terms of its accommodation industry remains underdeveloped, especially in the Covid-19 pandemic when tourism faced unprecedented adversity and need to find a way to move forward. In an attempt to address this and take the Australian accommodation industry as a case study, this paper sought to investigate the efficiency of Australian tourism regions in the accommodation industry for the period of 2014/15–2017/18. The findings clearly showed that Australian tourism regions had seen significant growth in terms of their efficiency in the accommodation industry over the surveyed period. The Australian commercial large cities, namely Sydney, Melbourne, Brisbane, and the Goal Coast, represent perhaps the best example, having obtained a higher efficiency than all other tourism regions. Exogenous factors, such as the occupancy rate, the average daily rate, the number of international visitors and the number of domestic visitors overnight were identified as influencing the technical efficiency score of tourism regions, with policy formulation and implementation identified as being key to improving the efficiency of the accommodation industry at the regional level for a post-Covid-19 period. [ FROM AUTHOR] Copyright of International Journal of Hospitality & Tourism Administration is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
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"The ongoing journey to standardization on more aspects of submission and data exchange will continue to have an impact," he notes. lan Crone, business unit director Europe-fme Life Sciences, which provides business and technology services, points out that the web-based human variations electronic application form (eAF) for centrally authorized products (CAPs) has been available for use since 4 Nov. 2022 on the European Medicines Agency's (EMA's) new product lifecycle management (PLM) portal. Renato Rjavec, Amplexor Life Sciences "Many biopharmaceutical functions have spent the last decade modernizing their base technologies, most often in a cloud/software as a service environment platform that brings foundational benefit to individual functions," states Steve Gens managing partner. Internal productivity and external regulatory requirements are both driving this data connectivity within industry, he adds, which "requires a clear cross functional digitization strategy and focus on cross-functional data governance, master data management, and ensuring all data from these various authoritative systems [are] at the same high level. " "Many biopharmaceutical functions have spent the last decade modernizing their base technologies, most often in a cloud/ software as a service environment platform that brings foundational benefit to individual functions." -
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This paper investigates the dynamics and drivers of informational inefficiency in the Bitcoin futures market. To quantify the adaptive pattern of informational inefficiency, we leverage two groups of statistics which measure long memory and fractal dimension to construct a global-local market inefficiency index. Our findings validate the adaptive market hypothesis, and the global and local inefficiency exhibits different patterns and contributions. Regarding the driving factors of the time-varying inefficiency, our results suggest that trading activity of retailers (hedgers) increases (decreases) informational inefficiency. Compared to hedgers and retailers, the role played by speculators is more likely to be affected by the COVID-19 crisis. Extremely bullish and bearish investor sentiment has more significant impact on the local inefficiency. Arbitrage potential, funding liquidity, and the pandemic exert impacts on the global and local inefficiency differently. No significant evidence is found for market liquidity and policy uncertainty related to cryptocurrency.
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Recent advancements in nanotechnology have resulted in improved medicine delivery to the target site. Nanosponges are three-dimensional drug delivery systems that are nanoscale in size and created by cross-linking polymers. The introduction of Nanosponges has been a significant step toward overcoming issues such as drug toxicity, low bioavailability, and predictable medication release. Using a new way of nanotechnology, nanosponges, which are porous with small sponges (below one microm) flowing throughout the body, have demonstrated excellent results in delivering drugs. As a result, they reach the target place, attach to the skin's surface, and slowly release the medicine. Nanosponges can be used to encapsulate a wide range of medicines, including both hydrophilic and lipophilic pharmaceuticals. The medication delivery method using nanosponges is one of the most promising fields in pharmacy. It can be used as a biocatalyst carrier for vaccines, antibodies, enzymes, and proteins to be released. The existing study enlightens on the preparation method, evaluation, and prospective application in a medication delivery system and also focuses on patents filed in the field of nanosponges.Copyright © 2023 The Authors.
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The shortage of medical personnel is becoming a heavy burden on modern healthcare systems around the world. All countries, without exception, turned out to be vulnerable, regardless of the level of income and available forms of medical care. This study addresses the issue of staffing at the time of transition to a new technological level of the healthcare system in the United States. The paper shows that at the present stage in the country there is a need for fundamental changes in the personnel policy in the medical field. The challenges caused by the COVID-19 pandemic not only exposed all the vulnerabilities of the national health system, but also opened up opportunities considering the lessons learned to rethink the long-term vision of solving the workforce problems directly related to the use of new technologies. Based on the analysis of statistical data and sociological research, the author identified the latest trends of overcoming barriers in the field of training and retraining of personnel in the context of the transition to digital medicine. Overexertion among medical personnel associated with increased workload has exacerbated the problem of their professional burnout. The mass protests of physicians necessitated the development of new approaches to the labor protection of employees in the medical field. Solution of such important social problems will require a long time and financial costs and is possible only through the joint efforts of the state and the entire community as a whole. © 2023, Russian Academy of Sciences.
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Introduction: the COVID-19 pandemic has induced a transformation in the way hospitals function, causing a decrease in the time and efforts dedicated to surgical activity, which in turn has caused delays in the surgery schedule of most hospitals. This represents a major public health problem, significantly compromising the principle of equity that inspires public health systems throughout the world. To address this problem, it would be of the utmost importance to put in place initiatives to measure and improve surgical efficiency. Objective: evaluate indicators of efficiency in the use of operating rooms during the COVID-19 pandemic. Material and methods: a descriptive, longitudinal retrospective study was conducted on 3554 patients scheduled for surgery during a one-year period of the COVID-19 pandemic. Indicators of efficiency in they use of operating rooms were measured. The data was processed using SPSS v-25.0. Results: a total of 3,554 surgeries were scheduled, 1,309 of them emergency surgeries, 1,979 elective surgeries, and 266 deferred surgeries. The following parameters were estimated: Starting time of the procedure (42.32 ± 37.04 min);opportunity for emergency surgeries (104.69 ± 102.55 min);starting time of anesthesia (10.11 ± 9.85 min);starting time of surgery (40.03 ± 24.68 min);time of admission to post-anesthesia care unit/intensive care unit (PACU/ICU) (15.35 ± 29.94 min);turnover or replacement time (177.97 ± 174.33 min);active surgery time (27.70%). Conclusions: the COVID-19 pandemic negatively impacted the indicators of efficient use of operating rooms, posing new challenges for the management and organization of surgical work. (English) [ FROM AUTHOR] Introducción: la pandemia por COVID-19 ha emplazado una transformación hospitalaria, esto acarreó un decremento de la actividad quirúrgica e implicó un aplazamiento en la programación, lo que representó un problema, ya que comprometió sensiblemente el principio de equidad que inspira a los sistemas sanitarios. Así, resultó imperativa la implementación de iniciativas para medir y mejorar la eficiencia quirúrgica. Objetivo: medir los indicadores de uso eficiente del quirófano durante la pandemia por COVID-19. Material y métodos: se realizó un análisis descriptivo, longitudinal y retrospectivo en 3,554 pacientes programados para cirugía, durante la pandemia en un período de un año, además se midieron los indicadores de uso eficiente del quirófano. Los datos fueron procesados en SPSS v-25.0. Resultados: se programaron 3,554 cirugías, 1,309 urgencias, 1,979 electivas, 266 diferidas. Se estimó un tiempo de inicio del procedimiento 42.32 ± 37.04 min, oportunidad para urgencias quirúrgicas 104.69 ± 102.55 min, tiempo de inicio de anestesia 10.11 ± 9.85 min, tiempo de inicio de cirugía 40.03 ± 24.68 min, tiempo para la admisión en la unidad de cuidados postanestésicos/unidad de terapia intensiva (UCPA/UTI) 15.35 ± 29.94 min, tiempo de rotación o recambio 177.97 ± 174.33 min y tiempo quirúrgico activo 27.70%. Conclusiones: la pandemia por COVID-19 impactó negativamente en los indicadores de uso eficiente del quirófano, lo que implicará nuevos retos en la gestión y organización de la jornada quirúrgica para su mejora. (Spanish) [ FROM AUTHOR] Copyright of Revista Mexicana de Anestesiologia is the property of Colegio Mexicano de Anestesiologia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
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Objective: The present study aimed to assess the attitude and perception of Kabul city's residents toward COVID-19 vaccines hesitancy and acceptance. Methods: Applying a cross-sectional study design, the data was collected from 665 participants in Kabul city using a predesigned validated questionnaire. For statistical analysis, Spearman correlation, chi-square, and logistic regression techniques were used. Results: Although the vaccine availability was limited for the public during the survey period, 70.5% of the participants were willing to receive COVID-19 vaccines. Meanwhile, 49.2% participants were concerned about the COVID-19 vaccines side effects. The presence of positive COVID-19 cases among family members and friends (OR: 2.7), presence of fears during COVID-19 pandemic (OR: 4.4) and beliefs that vaccine has important and vital role in people's protection against COVID-19 (OR: 5.3), increase the likelihood of vaccine acceptance among the participants. On the other hand, participant's mistrust of the safety of COVID-19 vaccines (OR: 0.21) and disbelief on ministry of public health "MoPH" advice about COVID-19 vaccine safety and efficiency (OR: 0.27) decrease the odds of COVID-19 vaccine acceptance among the respondents. In addition, a strong correlation was found between vaccine attitude and vaccine acceptance scales (Spearman p=0.52, p<0.001). Conclusion: Although majority of the participants were willing to receive the COVID-19 vaccines, due to high level of participant's concerns about COVID-19 vaccines-related side effects, a great proportion of the respondents were hesitate to receive the COVID-19 vaccines. Accordingly, public awareness about COVID-19 vaccines must be increased to counteract incorrect and misleading propaganda about vaccination and immunization.
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The world's supply chains are changing as both expected and unexpected environmental pandemics occur. Even though some may be expected, the full extent and ramifications a pandemic will have is an estimate at best. Thus, both flexibility and resiliency are becoming crucial to efficient supply chain systems. This study analyses the recent COVID-19 phenomenon and uses it to gauge reactions, best practices, resilience-based issues and operational performance metrics in order to assist with potential future pandemics. Education, as seen, plays a pivotal role in effectively offering options to combat uncertainty and fluid situations. Such dynamic environments have historically posed a serious problem to operations;however, with proper preparation and care taken options are available today that help marginalize harm of future pandemics.
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The purpose of this study was to identify and measure the impact of the different effects of entropy states over the high-frequency trade of the cryptocurrency market, especially in Bitcoin, using and selecting optimal parameters of the Bayesian approach, specifically through approximate Bayesian computation (ABC). ABC corresponds to a class of computational methods rooted in Bayesian statistics that could be used to estimate the posterior distributions of model parameters. For this research, ABC was applied to estimate the daily prices of the Bitcoin cryptocurrency from May 2013 to December 2021. The findings suggest that the behaviour of the parameters for our tested trading algorithms, in which sudden jumps are observed, can be interpreted as changes in states of the generated time series. Additionally, it is possible to identify and model the effects of the COVID-19 pandemic on the series analysed in the research. Finally, the main contribution of this research is that we have characterised the relationship between entropy and the evolution of parameters defining the optimal selection of trading algorithms in the financial industry. [ FROM AUTHOR] Copyright of Mathematics (2227-7390) is the property of MDPI and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
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COVID-19 since its appearance caused serious problems to the health sector due to the increase in infected and deceased people by directly affecting their respiratory system, making it a primordial disease that led all countries to fight this virus, generating that other diseases go to the background such as diabetes mellitus, which is a disease caused by the neglect of people's lifestyles, that has been increasing over time and that has no cure but can be prevented by controlling your blood glucose level, this disease causes diabetic retinopathy in people that with the advance of it can cause loss of sight. In addition, to detect its stage the ophthalmologist relies on his experience, occupying a lot of time and being prone to make mistakes about the patient. In view of this problem, in this article a digital image processing system was performed for the detection of diabetic retinopathy and classified according to the characteristics obtained from the features by analyzing the fundus of the eye automatically and determining the stage in which the patient is. Through the development of this system, it was determined that it works in the best way, visualizing an efficiency of 95.78% in the detection of exudates, and an efficiency of 97.14% in the detection of hemorrhages and blood vessels, resulting in a reliable and safe system to detect diabetic retinopathy early in diabetic patients. © 2023 IEEE.
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The pandemic scenario caused by Covid-19 generated negative impacts. Covid-19 has made it clear that our daily lives depend to a high degree on access to energy. Therefore, now more than ever, it is necessary to promote new activities such as local food production, but also local energy capture. This article is an attempt to expose and quantify the benefits of a renewable energy transition in Ecuador post Covid-19 and post-oil. The generation, consumption, and reserves of oil in Ecuador were characterized, and the concept of energy transition was applied to evaluate the possibilities of integration of renewables, the progressive exit of thermal power plants, and future energy strategies. The year 2015 was taken as a basis and it was determined that energy use was 154.0 TWh / year, which corresponds to an end-user of approximately 147 TWh / year. The objective was to reduce this end-use demand to 80.0 TWh/year by 2055 through the integration of renewables and energy efficiency, for which 5 transition phases were planned until a 100% renewable system was obtained. It is concluded that the energy transition in Ecuador is technically possible and economically viable, without giving up the energy well-being that we currently enjoy. However, results show that even 100% renewable is not enough to face climate change.
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The benefits of good procurement practices in the healthcare sector are well known. Indeed, the importance of transparent, effective and efficient procurement of medical goods and services has gained momentum even more in light of the recent Covid-19 pandemic. However, there is little evidence of how traditional factors occurring on a procedure or contract level affect the effectiveness of public purchases when they take play in different institutional environments. This paper, therefore, contributes to this evidence using a large sample of public contracts in healthcare sectors awarded in 11 Central and East European Countries. The results support the previous evidence on the important role of transparency and open competitive bidding. Procedures with a prior call for competition and allowing for an unrestricted number of competitors lead to cost-effective contracts and higher direct savings. Effective government and lessening corruption have proven to facilitate better procurement outcomes, considering the financial aspects of awarded contracts. Moreover, the results on the effects of institutions contribute to the current academic debate by providing insight into the mechanism of obtaining cost-effectiveness and showing that strong institutions can play an important role in mitigating the adverse procurement outcomes related to less transparent and competition-restricting procedures.
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Objective: To design an optimal formulation for quercetin and vitamin C nano-phytosome. Method(s): Nano-phytosomes are prepared by the thin layer hydration technique using a 2-level-5-factor design experimental. A total of 32 experimental formulas were used for data analysis. The ratio of quercetin: soy lecithin (X1), the ratio of quercetin: cholesterol (X2), stirring speed (X3), stirring temperature (X4), and stirring time (X5) were used as independent factors, while globule size as a dependent factor. Data analysis was carried out by Design Expert12 application. Characterization of the optimal formula included physicochemical evaluation, globule size analysis, zeta potential, polydispersity index, entrapment efficiency, Transition Electron Microscopy (TEM) analysis, and FTIR analysis. Result(s): The optimal formula consisted of quercetin: vitamin C: lecithin: cholesterol ratio of 1: 1: 1.046: 0.105 mol;stirring speed 763.986 rpm;stirring time of 59 min, at temperature 51.73 degreeC which produced 59.26 nm average globule size, PDI value 0.66;zeta potential value-35.93+/-0.95 mV and average SPAN value 0.61. This formulation showed entrapment efficiency of quercetin 91.69+/-0.18 % and vitamin C 90.82+/-0.13 %. The TEM and FITR analysis showed the morphological of the globules and interactions between the drugs, soy lecithin, and cholesterol to form nano-phytosomes. Conclusion(s): The conditions to obtain the optimal formula for quercetin vitamin C nano-phytosome consisted of quercetin: vitamin C: lecithin: cholesterol ratio of 1: 1: 1.046: 0.105 mol;stirring speed 763.986 rpm;stirring time of 59 min, and at temperature 51.73 degreeC.Copyright © 2023 The Authors.
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Contract testing services demonstrate a major increase in the speed and efficiency of testing using new testing methods and technologies. Since the beginning of the COVID-19 pandemic, providers offering contract testing services have seen various changes and improvements to everyday processes. According to Lara Silverman, PhD, founder and principal consultant at LIS BioConsulting, it became increasingly crucial for contract testing labs to provide seamless services to clients and communicate any issues in a quick, efficient fashion. [...]corresponding services that are contracted with recognized service organizations are needed to solve technically demanding tasks.