| Title | Venue | Year | Impact | Source |
| 1701 | Abstract #1183942: Thyroid myopathy after receiving COVID-19 Vaccine | Endocr Pract | 2022 | | CORD-19 |
| 1702 | Abstract #1182615: Panhypopituitarism Induced by COVID-19 Infection | Endocr Pract | 2022 | | CORD-19 |
| 1703 | Abstract #1178145: A Rare case of Pituitary Apoplexy associated with COVID infection presenting with Central Diabetes Insipidus | Endocr Pract | 2022 | | CORD-19 |
| 1704 | Patient Self-Report Superior to Electronic Medical Record Abstraction for Identifying Positive COVID-19 Symptoms at Illness Onset Introduction Most initial COVID-19 research focused on hospitalized patients. Presenting symptomatology in the outpatient setting was poorly characterized, making it difficult for primary care physicians to predict which patients would require hospitalization. Purpose To characterize presenting symptoms of COVID-19 infection and baseline patient characteristics and evaluate for correlation with disease severity, duration, and chronicity in the outpatient setting. Methods 107 adult, English speaking patients with suspected and confirmed COVID-19 cases at the three primary care practices of Stony Brook University Hospital were studied between March and December, 2020. Survey data was collected from patient telephone interviews and electronic medical record (EMR) abstraction. Potential risk factors assessed included participant demographics, medical comorbidities, and number and type of symptoms at illness onset. Outcome measures included symptom duration, hospitalizations, and persistence of symptoms at 12 weeks from study enrollment. Results Patient self-report survey elicited nearly twice as many symptoms described at illness onset vs. those recorded in the EMR (p<0.0001). Higher number of symptoms at illness onset was positively associated with symptom duration and chronicity. The presence of fever and hypoxia at the onset of illness were each positively associated with eventual hospitalization for COVID-19 disease. Conclusions Early in the setting of newly emerging infectious diseases, particularly those such as COVID-19 which involve multiple organ systems, patient self-report of symptoms using a complete review of systems, rather than EMR abstraction alone, may be key for accurate disease identification and characterization as well as prediction of eventual disease severity, duration and chronicity. | N/A | 2022 | | CORD-19 |
| 1705 | Anti-ganglioside M1 autoantibodies in Egyptian children with autism: a cross-sectional comparative study BACKGROUND: Autism may be one of the pediatric autoimmune neuropsychiatric disorders, and several studies investigated the frequency of serum anti-ganglioside M1 autoantibodies in children with autism, as possible indicators of autoimmunity to the brain. The current study aimed to compare the level of anti-ganglioside M1 autoantibodies between autistic and normally developed children and to study the correlation between the level of anti-ganglioside M1 autoatibodies and the severity of autism. Forty children with autism and 40 age- and gender-matched healthy controls were enrolled. The Childhood Autism Rating Scale was used to assess the severity of autism in the patient group at the time of the study. The clinical and demographic data were recorded and plasma anti-ganglioside M1 autoantibodies level was measured in both groups. RESULTS: The mean anti-ganglioside M1 autoantibodies level was significantly higher in autistic patients compared to the control group. The anti-ganglioside M1 autoantibodies level in patients with mild to moderate severity was insignificantly lower than its level in patients with severe autism. CONCLUSIONS: Plasma anti-ganglioside MI autoantibodies levels are higher in autistic patients than in healthy controls which may imply that some cases of autism may be autoimmune in nature. | N/A | 2022 | | CORD-19 |
| 1706 | Optimization and Operations Research in Mitigation of a Pandemic The pandemic of COVID-19 initiated in 2019 and spread all over the world in 2020 has caused significant damages to the human society, making troubles to all aspects of our daily life. Facing the serious outbreak of the virus, we consider possible solutions from the perspectives of both governments and enterprises. Particularly, this paper discusses several applications of supply chain management, public resource allocation, and pandemic prevention using optimization and machine learning methods. Some useful insights in mitigating the pandemic and economy reopening are provided at the end of this paper. These insights might help governments to reduce the severity of the current pandemic and prevent the next round of outbreak. They may also improve companies’ reactions to the increasing uncertainties appearing in the business operations. Although the coronavirus imposes challenges to the entire society at the moment, we are confident to develop new techniques to prevent and eradicate the disease. | N/A | 2022 | | CORD-19 |
| 1707 | Helping to bring the crisis home The struggle carers faced obtaining personal protective equipment (PPE) is brought to life by the characters’ emotional reactions: Even a fly-on-the-wall documentary—which would be near-impossible given the social distancing restrictions in force at the time—would be unlikely to capture a moment like this as the workers would probably not react with such unfiltered emotion in the presence of a film crew. Graham's portrayal of Tony raises awareness of young onset Alzheimer's disease, but more importantly allows us to understand the condition on a more human level than even a documentary might, by showing how people with these conditions can handle difficult situations and their interactions with other people. | Lancet Neurol | 2022 | | CORD-19 |
| 1708 | Children and youth mental health: not all equal in the face of the COVID-19 pandemic This article reviews the empirical evidence gathered in the past 2 years on the impact of the COVID-19 pandemic on mental health for children and youth. Grounded in a social justice framework, this review highlights that all are not equal in the face of the pandemic, and that children, youth and families living in precarious contexts have been impacted most. Practice and policy measures moving forward must take this reality into account to help all children and youth thrive and recover from this unprecedented worldwide crisis. | Reference Module in Neuroscien | 2022 | | CORD-19 |
| 1709 | Effect on Ambient Air Quality in Nagpur due to lockdown to contain the spread of COVID-19 pandemic in the year 2020: a case study The present paper deals with the studies on the change in concentration of three standard pollutants namely, respiratory suspended particulate matter (RSPM or PM(10)), Sulphur dioxide (SO(2)) and Nitrogen dioxide (NO(2)) because of lockdown in India to prevent the spread of COVID-19 pandemic in 2020. The monthly average concentrations of the above pollutants observed at four monitoring stations in and around Nagpur city during January to December 2020 were analyzed and compared. Due to COVID-19 pandemic, there was a complete lockdown from 25th March to 31st May 2020 and phased reopening of areas outside containment zones from June 1st onwards. It is found that the average concentration of all the three pollutants at all four stations was reduced by about 50 % to 75 % due to lockdown. During lockdown, the minimum concentration of PM(10), SO(2) and NO(2) amongst all stations were found to be 40, 5 and 11 µg/m(3,) respectively, whereas the maximum concentrations were found to be 159, 20, and 50 µg/m(3,) respectively. The concentrations during lockdown were below the standards prescribed by CPCB, which were found to increase due to reopening. The Air quality index (AQI) at all four stations during lockdown was less than 50 (i.e. SATISFACTORY), whereas it increased above 100 (i.e. MODERATE) after reopening. As a result, the annual average concentration of pollutants was reduced in 2020 compared to previous years. | N/A | 2022 | | CORD-19 |
| 1710 | Introduction to the special issue on "COVID-19" | N/A | 2022 | | CORD-19 |
| 1711 | Contributions of vibrational spectroscopy to virology: A review Vibrational spectroscopic techniques, both infrared absorption and Raman scattering, are high precision, label free analytical techniques which have found applications in fields as diverse as analytical chemistry, pharmacology, forensics and archeometrics and, in recent times, have attracted increasing attention for biomedical applications. As analytical techniques, they have been applied to the characterisation of viruses as early as the 1970s, and, in the context of the coronavirus disease 2019 (COVID-19) pandemic, have been explored in response to the World Health Organisation as novel methodologies to aid in the global efforts to implement and improve rapid screening of viral infection. This review considers the history of the application of vibrational spectroscopic techniques to the characterisation of the morphology and chemical compositions of viruses, their attachment to, uptake by and replication in cells, and their potential for the detection of viruses in population screening, and in infection response monitoring applications. Particular consideration is devoted to recent efforts in the detection of severe acute respiratory syndrome coronavirus 2, and monitoring COVID-19. | N/A | 2022 | | CORD-19 |
| 1712 | Cosmopolitan tourists: the most resilient travellers in the face of COVID-19 Fear, whilst essential for survival, has the power to impair rational thinking. In tourism, fear can cease international travels. Previous studies demonstrated that cosmopolitan travellers are more resistant to irrational fear. This study aims to verify if cosmopolitans are more resistant to irrationality when facing the fear of COVID-19. Building on grounded theory, 64 in-depth interviews and direct observation, this study found that the cosmopolitan mindset, open-mindedness and strive for objectivity facilitates personal resilience, rational functioning in the face of fear. The study categorises travellers based on their resilience and suggests how to encourage each category amidst the threat of COVID-19. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11628-022-00482-z. | N/A | 2022 | | CORD-19 |
| 1713 | Design, synthesis, molecular modeling and DNA-binding studies of new barbituric acid derivatives Cancer disease is developing all over the world mainly in developing countries. We should learn more about DNA–ligand interactions to design new drugs that target biological activities like transcription, replication and translation of particular genes. To understand the mechanism of action and design-specific DNA binders, the evaluation of DNA–ligand interactions is critical. Novel barbituric acid derivatives based on (benzyloxy)benzaldehydes were synthesized and evaluated as DNA-binding agents. Among products, molecular docking studies revealed that 4j and 4m have the best interactions with the ctDNA via the minor groove binding. These results were approved by the quantum mechanics calculations. The interaction profiles of the selected compound (4j and 4m) with DNA were evaluated by UV–Visible titration. UV–Visible titration data confirm this interaction. According to the molecular modeling results, the Structure–Activity relationships for all synthesized barbituric acid derivatives were proposed. It was observed that N,N-dimethyl barbituric acid/4-hydroxybenzaldehyde derivatives have better DNA interactions than barbituric acid/vanillin and barbituric acid/3-hydroxybenzaldehyde derivatives. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13738-022-02576-x. | N/A | 2022 | | CORD-19 |
| 1714 | Sicherheit medizintechnischer Protokolle im Krankenhaus Medizinische Einrichtungen waren in den letzten Jahren immer wieder von Cyber-Angriffen betroffen. Auch wenn sich diese Angriffe derzeit auf die Office-IT-Infrastruktur der Einrichtungen konzentrieren, existiert mit medizinischen Systemen und Kommunikationsprotokollen eine weitere wenig beachtete Angriffsoberfläche. In diesem Beitrag analysieren wir die weit verbreiteten medizintechnischen Kommunikationsprotokolle DICOM und HL7 sowie Protokoll-Implementierungen auf ihre IT-Sicherheit. Dafür präsentieren wir die Ergebnisse der Sicherheitsanalyse der DICOM- und HL7-Standards, einen Fuzzer (“MedFUZZ”) für diese Protokolle sowie einen Schwachstellenscanner (“MedVAS”), der Schwachstellen in medizintechnischen Produktivumgebungen auffinden kann. | N/A | 2022 | | CORD-19 |
| 1715 | Regional shifts in production and trade in the metal markets: a comparison of China, the EU and the US Metal raw materials are essential for industrial production. Global metal markets have changed considerably since the start of the twenty-first century, China being the most influential driver of this change. With China’s economic rise, metal demand has skyrocketed, and global production shares in metal raw materials and trade volumes have shifted towards the People’s Republic. While China has become the dominant location for global metal production and consumption, older industrial economies like the European countries or the US have lost global share. This paper aims to compare the different developments in China, the European Union and the US regarding markets for the base metals aluminium, copper, lead, nickel, tin and zinc as well as iron and steel. The analysis covers movements in industrial production, metal production locations (mining – refined production – refined consumption) and metal trade volumes (ores and concentrates – waste and scrap – refined products and articles thereof). | N/A | 2022 | | CORD-19 |
| 1716 | Report | N/A | 2022 | | CORD-19 |
| 1717 | Rezensionen: Veranstaltungen, Bücher | N/A | 2022 | | CORD-19 |
| 1718 | Evaluate the challenges of sustainable supply chain 4.0 implementation under the circular economy concept using new decision making approach Industry 4.0 has the potential of growing industrialization and, on the other hand, disrupting the sustainability of prevailing manufacturing supply chains through inducing great challenges such as higher resource consumption that, in turn, results in global warming and climate change. As a result, researchers working in the area of sustainable supply chain 4.0 need to make deep evaluations on the challenges arising for manufacturing supply chains contemplating the improvement of their sustainability levels and having a digital transformation toward Industry 4.0. To fill this gap, the current paper designs an innovative framework on the basis of the Stepwise Weight Assessment Ratio Analysis (SWARA) technique and the Complex Proportional Assessment (COPRAS) approach to evaluate the challenges that may arise for supply chain 4.0 in the q-Rung Orthopair Fuzzy Sets (q-ROFSs) setting. The proposed method uses an extended SWARA process to determine the criteria importance degrees considering the experts’ preferences. The performance of the proposed method was assessed by conducting an empirical case study under the q-ROFSs condition. Further, a sensitivity analysis was executed to check whether the proposed method is stable enough to be relied on parameter values. Finally, the results obtained were compared to those of currently used methods to verify the obtained results’ reliability. As revealed by the comparative results, the framework proposed in this article was of higher consistency and strength compared to other prevailing approaches. | N/A | 2022 | | CORD-19 |
| 1719 | The effect of firm size, industry type and ownership structure on the relationship between firms' sustainable innovation capability and stock liquidity Does the company attach importance to research and development (R&D) investment in its operations? Is stock liquidity detrimental to corporate innovation and thus damages the company’s sustainable development capabilities? We estimate the relationship between between stock liquidity and firms’ sustainable innovation capability on China’s stock market by OLS method and difference in difference (DID) method. The traditional conclusion is: the higher the stock liquidity, the weaker the enterprise's sustainable innovation level, especially in state-owned enterprises. The DID estimation using the share-trading reform and the policy of large and small-sized non-tradable share shows that: stock liquidity will affect the sustainable innovation level of the enterprise positively. The reasons for this mechanism are the supervision mechanism in the operation of the enterprise, the effect of the balance of the ownership structure and the improvement of corporate governance. The conclusions are that the improvement of ownership concentration promotes this positive relationship, and the behavior of institutional investors does not have a significant impact. These findings also provide new insights into the relationship between corporate management and shareholder investment behavior on the level of innovation. | N/A | 2022 | | CORD-19 |
| 1720 | Modelling product lines diffusion: a framework incorporating competitive brands for sustainable innovations Understanding of consumer behavior, their changing demands due to increase in social interactions and communications, adoption of latest technologies over existing products have always been a set of fundamental activities for the firms. Keeping the objective of minimum process disruptions and discouraging product proliferation, firms always endeavor to match heterogeneous demands of consumers by emphasizing on the product line. Also, with globalization, rivalry amongst firms has reached a next level. Brands are trying to capture the market by coming up with various combinations of new product mix. Amongst various attributes of product mix, product line has helped firms to attract new potential buyers to a significantly good extent. Therefore, in today’s cutthroat competitive scenario, the concept of product line provides an opportunity for a firm to provide same kind of products with some variation at an altered pricing. The objective of this study is to understand how customers behave (with so many options) and deviate from one product to another product (within and outside the brand). All the possible customers’ shifting combinations that might impact the overall sales of product are captured through the proposed model. A mathematical innovation diffusion model is developed that is motivated by the concept of Bass model and multiple generational diffusion models. This modelling framework describes the scenario of competitive brands that offer multiple products in a marketplace and observing the shifting behavior of the customers and predict the sales when product lines are available. Validation of the model has been done on real-life sales data sets for automobiles industries of two different brands i.e., Hyundai and Maruti Suzuki. The importance of this study is to deliver a solution to the manufacturers that how consumer shifts from one brand to another brand. Therefore, it is imperative for the companies to develop such a product that would lead to customers’ loyalty towards the brand. | N/A | 2022 | | CORD-19 |
| 1721 | The relationship between open technological innovation, intellectual property rights capabilities, network strategy and AI technology under the Internet of Things The problems faced by the open technological innovation of China’s new ICT (information and communications technology) industry under IoT (Internet of Things) technology are expected to be analyzed to improve the overall innovation ability and ensure the sustainable development of related industries. An evaluation model is constructed for open technological innovation in the IoT industry by analyzing the development of IPR (Intellectual Property Rights) management, network strategy, and AI (artificial intelligence) technology under the development of IoT technology. Meanwhile, IBM SPSS Statistics 20.0 and IBM SPSS Amos 19.0 are used to analyze the data information of 306 enterprises in the information technology industry. Besides, the proposed hypotheses are verified by factor analysis, multiple regression, and Back Propagation Neural Network. Finally, a new evaluation index system is constructed for open technological innovation in the new ICT industry. The development of IoT technology provides a primary guarantee for the open technological innovation of the new ICT industry, and the network strategy has the greatest influence on the internal knowledge output mode. Besides, the experimental results indicate that the IoT and artificial intelligence have a critical display value for the open technological innovation of the emerging ICT industry, with the highest weight ratio of 48.25%. This result demonstrates that artificial intelligence is positively correlated with the external input information. Intellectual property management is a crucial guarantee of open technology innovation in the ICT industry. The evaluation model of open technological innovation in the ICT industry has good performance through case analysis, with the highest accuracy of 91.25%. Therefore, the evaluation index system reported here can reflect the important factors affecting the development of innovative technology, which can provide a theoretical basis and practical value for improving the existing open technology innovation system. | N/A | 2022 | | CORD-19 |
| 1722 | Supply chain and logistics optimization management for international trading enterprises using IoT-based economic logistics model Under the development trend of economic globalization, the financial difficulties of the supply chain may cause a serious crisis to the enterprises in the whole supply chain. It is necessary to alleviate the transformation pressure faced by international trading enterprises (ITE), to enhance the core competitiveness of ITE. This paper takes the SCLM (Supply Chain and Logistic Management) of ITE as the research object. Based on the analysis of the existing SCLM experience of ITE and the Internet of Things (IoT) technology, this paper puts forward the economic analysis model of the IoT-based SCLM. Specific data of some ITE prove the effectiveness of the proposed model. Further optimization is carried out through process analysis. The results show that the proposed SCLM economic analysis model based on IoT can effectively maximize the interests of enterprises and shorten the supply chain process by adding information groups. The introduced IoT-based method reduces the Average Queue Time (AQT) of vehicles by nearly 7 times and the Average Waiting Time (AWT) by nearly 4 times. After the IoT technology is applied to the SCLM of ITE, this paper significantly improves the cooperation efficiency of various departments, optimizes the relationship between customers and suppliers, and improves the core competitiveness of the enterprise. Therefore, this paper has important reference value for promoting the development of the small and micro machinery industry in China. | N/A | 2022 | | CORD-19 |
| 1723 | Digital technologies as enablers of supply chain sustainability in an emerging economy Vietnam is a country with significant potential for growth as a global centre for manufacturing, as supply chains look to reduce their over-reliance on China in the aftermath of COVID-19. The objective of this study is to better understand the current adoption rates and growth potential of emerging Industry 4.0 (I4.0) digital technologies and ascertain their potential to drive successful future sustainability initiatives amongst Vietnamese supply chain firms. These technologies offer a wide range of sustainability benefits, from a potential to reduce waste production and lower energy consumption to increased opportunities for recycling and industrial symbiosis. This empirical study surveys 223 Vietnamese supply chain experts to learn how digital technologies are being utilized in that region, what levels of future investment are expected, what preparatory measures are being taken to leverage new technologies, and what scope for improved supply chain sustainability exists. The findings indicate a low level of I4.0 digital technology adoption amongst Vietnamese supply chain firms, with the Internet of Things (IoT) currently being the most prevalent (48 percent adoption rate). Drones, Big Data Analytics and IoT are the I4.0 digital technologies expected to have the greatest future impact on Vietnamese supply chains. Whilst I4.0 digital technology adoption is still at this early stage, that may present a greater opportunity for driving future sustainability outcomes, than interrupting and retrofitting solutions to already-established networks and infrastructure. | N/A | 2022 | | CORD-19 |
| 1724 | Automated Truck Taxonomy Classification Using Deep Convolutional Neural Networks Trucks are the key transporters of freight. The types of commodities and goods mainly determine the right trailer for carrying them. Furthermore, finding the commodities’ flow is an important task for transportation agencies in better planning freight infrastructure investments and initiating near-term traffic throughput improvements. In this paper, we propose a fine-grained deep learning based truck classification system that can detect and classify the trucks, tractors, and trailers following the Federal Highway Administration’s (FHWA) vehicle schema. We created a large, fine-grained labeled dataset of vehicle images collected from state highways. Experimental results show the high accuracy of our system and visualize the salient features of the trucks that influence classification. | N/A | 2022 | | CORD-19 |
| 1725 | Mat-O-Covid: comment l'utiliser ? | N/A | 2022 | | CORD-19 |
| 1726 | Analyzing the impact of COVID-19 vaccination requirements on travelers' selection of hotels using a fuzzy multi-criteria decision-making approach In the later stages of the COVID-19 pandemic, hotels are taking various measures to balance pandemic prevention and business operations. Some hotels require travelers to be fully vaccinated prior to check-in, while others do not. In the latter type of hotels, fully vaccinated travelers may encounter others who are not vaccinated. All of these have created constraints for travelers to choose suitable hotel accommodation during this time. To address this issue, a fuzzy multi-criteria decision-making approach is proposed in this study to help traveler choose suitable hotel accommodation. In the proposed methodology, firstly, hotels are divided into two types considering their requirements for COVID-19 vaccination. Travelers are then asked to list the key factors to consider when choosing between these two types of hotels. To derive the priorities of these key factors, the proportionally calibrated fuzzy geometric mean (pcFGM) method is proposed. Subsequently, the fuzzy VIšekriterijumskoKOmpromisnoRangiranje (fuzzy VIKOR) method is applied to evaluate and compare the overall performances of different types of hotels for recommendations to travelers. The applicability of the proposed methodology is illustrated by a real case study. According to the experimental results, most hotels did not request travelers to be full vaccinated. Nevertheless, the hotels recommended to travelers covered both hotel types. | N/A | 2022 | | CORD-19 |
| 1727 | The future of industry 4.0 and the circular economy in Chinese supply chain: In the Era of post-COVID-19 pandemic The demand for new productive factors is increasingly required, exacerbated in a scenario in which a linear economy prevails. The circular economy (CE) adoption is a proposal to guarantee environmental sustainability and redirect an obsolete process such as the linear economy. Thus, one of the main factors that allow achieving sustainability is Industry 4.0 (I4.0). In addition, the research aims to evaluate the role of I4.0 during the COVID-19 pandemic in China. The literature review process defines ten future projections with potential for the CE's adoption. The two-round Delphi approach was developed with 54 CE experts to evaluate the projections. In both rounds, the probability of occurrence up to 2030, its impact on the CE and its desirability were evaluated. Likewise, the qualitative criteria of the experts were coded to evaluate the projections. From the ten projections, four are those with the highest probability of occurrence (EP > 70%), with high impact (I > 3.5) and desirability of occurrence (I > 3.5). Expert evaluations make it possible to identify that Industry 4.0 and the digital skills of workers, their financing, and the efficiency of Government policies have a high probability of occurrence in the adoption of the CE in 2030. This research responds to the special call of papers providing evidence favouring the implementation of I4.0 in the CE from a holistic approach to draw a roadmap towards adopting the CE practices. | N/A | 2022 | | CORD-19 |
| 1728 | Adoption of technological innovation and recycling practices in automobile sector: under the Covid-19 pandemic Rising environmental concerns and globalization of supply chain made their control and management difficult. Blockchain technology, as a distributed digital ledger technology, guarantees security, visibility, traceability, and transparency promises ease for environmental and global supply chain problems. In this research work, blockchain technology and business analytics techniques were critically analyzed in the context of supply chain. Global and local governmental bodies, consumers, and communities are putting pressure to meet sustainability goals, which prompts us to investigate how these technologies can address and aid remanufacturing and recycling practices and sustainability in supply chain. The results illustrate that advanced technologies have a key role in the implementation of remanufacturing and recycling practices. The results also indicate that the remanufacturing and recycling practices substantially improve automobile firm performance. Moreover, the results also indicated that Covid-19 pandemic has positive moderating effect between advanced technology and remanufacturing and recycling practices while having insignificant effect between remanufacturing and recycling practices and automobile firm performance. | N/A | 2022 | | CORD-19 |
| 1729 | Multi-dimensional supply chain flexibility and supply chain resilience: the role of supply chain risks exposure Natural disasters and unexpected disruptive events have forced practitioners and researchers to build resilience capability into their systems to survive and grow in tempestuous and turbulent times. This study empirically examined the effect of multi-dimensional supply chain flexibility (MDSCF) in improving supply chain resilience (SCRES) under a high supply chain (SC) risk environment. The study incorporated a survey technique and utilized valid responses from 191 large-scale manufacturing (LSM) firms of Pakistan. PLS-SEM is employed to analyze the hypothesized relationships. The findings indicated that MDSCF significantly contributes to improving SCRES. Moreover, the study shows strong significant moderating effects of the customer-oriented and external risks and the weak moderating effect of supplier-oriented risks towards augmenting SCRES. The study contributes to the SC (SC) risk management literature by providing empirical support for the need for multi-dimensional SC flexibility measures in bolstering SCRES under the high SC risk environment. | N/A | 2022 | | CORD-19 |
| 1730 | Digital technologies and circular economy in supply chain management: in the era of COVID-19 pandemic This empirical study aims to identify the importance of Digital Technologies (DT) as an enabler in the Circular Economy (C.E.) based business model, especially during Covid-19. The concept of 'circular economy' has now been advocated as a methodology to stimulate economic growth in line with the environmental sustainability. Hence, the practices of recycling, reduction, reuse/re-manufacture, and repairing (4R's) are deemed to be the core of a circular economy. Recently, the advent of the pandemic Covid-19 has forced the nations of the world to resort to alternate resource use in their manufacturing and trading of goods and services as the supply chains have almost remained disrupted since Covid-19 appeared. We investigate the impacts of Covid-19 upon the use of technological innovation (T.I.), circular economy practices (CEP), and organizational performance (ORP) incorporating the Structural Equation Modeling (SEM). Our results show that Covid-19 significantly impacted the adoption of technological innovation, circular economy, which leads toward organizational performance. Moreover, the practices and operations under the circular economy framework also appear to influence organizational performance significantly. Our study findings bring forward meaningful insights into improving CEF-cum-technology based practices in developing and emerging markets in Asia, and convey significant implications for the business community, policymakers, and researchers. | N/A | 2022 | | CORD-19 |
| 1731 | Lessons learned from Milan electric power distribution networks data analysis during COVID-19 pandemic COVID-19 pandemic has been a disruptive event from health, social, and economic points of view. Besides that, changes in people’s lifestyles, especially during the 2020 lockdowns, also affected energy networks. COVID-19 pandemic has resulted in a significant decline in electricity demand. The lockdown measures applied to handle the health crisis have caused the most relevant energy impact of the last years. In this paper, the local experiences of the distribution network of Milano, a city in northern Italy, are reported. The analysis starts with a summary of the restrictions imposed during 2020 and focuses on both active and reactive power flows, and faults. To this end, a comparison with 2019 data has been performed, highlighting the main differences with 2020. The outcome of the analysis is a valuable tool to predict urban distribution networks behavior during times of disruption, helping distribution system operators to prepare feasible short-term and long-term resilience plans. | N/A | 2022 | | CORD-19 |
| 1732 | Covid-19 in pediatric hematology-oncology and stem cell transplant patients -The spectrum of illness, complications and comparison of first two waves Introduction Indian subcontinent witnessed first wave of COVID-19 around March 2020 and second wave in April 2021. The mutant delta variant was ≈2.5 times more transmissible and led to the severe second wave. We compared the impact of two waves on pediatric hematology and oncology patients at our tertiary care centre that was at heart of managing COVID-19. Methods Children between 0–18 years, who were treated for a haematological illness, malignancy or stem cell transplant with confirmed COVID-19 infection or who developed multisystem inflammatory syndrome in children were included. Results A total of 48 (22-first, 26-second wave) children were evaluated. Despite better understanding of disease and standardised management algorithms, we found a trend towards younger age, increased requirements of oxygen, severe pneumonia and other post-covid complications in admitted patients during the second wave. We observed early RTPCR negativity in second wave. Invasive aspergillosis, disseminated candidiasis, reactivation of tuberculosis HLH and MISC were the main complications. No child died of COVID-19. Conclusion The second wave hit pediatric hematology and oncology patients harder than the first wave.COVID-19 infection in these patients may lead to significant morbidity and complications that interfere with treatment of their primary illnesses. They need close monitoring for development of life threatening infections. Early recognition and prompt therapy can optimise outcomes. | N/A | 2022 | | CORD-19 |
| 1733 | Thoracic Articles in AATS Journals | J Thorac Cardiovasc Surg | 2022 | | CORD-19 |
| 1734 | THE CARDIONERDS CASE REPORT SERIES: CONNECTING THE CARDIOLOGY COMMUNITY DURING THE COVID-19 PANDEMIC | J Am Coll Cardiol | 2021 | | CORD-19 |
| 1735 | IMPACT OF SOCIAL DETERMINANTS ON TELEHEALTH ACCEPTANCE FOR PEDIATRIC CARDIOLOGY CARE DELIVERY DURING THE EARLY PHASE OF THE COVID-19 PANDEMIC | J Am Coll Cardiol | 2021 | | CORD-19 |
| 1736 | TRENDS IN CANDIDATE TRANSPLANT STATUS FOR SINGLE ORGAN HEART TRANSPLANTS DURING THE COVID-19 PANDEMIC | J Am Coll Cardiol | 2021 | | CORD-19 |
| 1737 | IMPACT OF TRANSITION TO TELEHealthcare DELIVERY ON PEDIATRIC CARDIOLOGY CARE DURING THE EARLY PHASE OF THE COVID-19 PANDEMIC | J Am Coll Cardiol | 2021 | | CORD-19 |
| 1738 | THE ASSOCIATION OF STRUCTURAL INEQUITIES AND RACE WITH OUT-OF-HOSPITAL SUDDEN DEATH DURING THE COVID-19 PANDEMIC | J Am Coll Cardiol | 2021 | | CORD-19 |
| 1739 | TELE-PROCTORING: A NEW AVENUE TOWARDS PROCTORING CASES IN INTERVENTIONAL CARDIOLOGY | J Am Coll Cardiol | 2021 | | CORD-19 |
| 1740 | PATIENT SATISFACTION WITH TELEHEALTH FOR OUTPATIENT CARDIOVASCULAR CARE DURING THE COVID-19 PANDEMIC | J Am Coll Cardiol | 2021 | | CORD-19 |
| 1741 | SOCIOECONOMIC PREDICTORS OF TELEMEDICINE ACCESS AMONG PATIENTS RECEIVING AMBULATORY CARDIOVASCULAR CARE DURING THE COVID-19 PANDEMIC | J Am Coll Cardiol | 2021 | | CORD-19 |
| 1742 | OUT OF HOSPITAL CARDIAC ARREST AND ACUTE CORONARY SYNDROME AT AN URBAN TERTIARY CARE HOSPITAL IN PAKISTAN-COVID-19 PANDEMIC VS. PRE-PANDEMIC ERA | J Am Coll Cardiol | 2021 | | CORD-19 |
| 1743 | COMPLICATED VENTRICULAR SEPTAL RUPTURE REQUIRING MECHANICAL CIRCULATORY SUPPORT BRIDGE TO HEART TRANSPLANT: A CONSEQUENCE OF LATE PRESENTING MYOCARDIAL INFARCTION IN THE ERA OF COVID-19 | J Am Coll Cardiol | 2021 | | CORD-19 |
| 1744 | ESTIMATING HEART RATE IN ECHOCARDIOGRAPHY PATIENTS WHERE ECG MONITORING WAS NOT PERFORMED | J Am Coll Cardiol | 2021 | | CORD-19 |
| 1745 | DETERMINANTS OF TELEMEDICINE UTILIZATION IN AMBULATORY CARDIOVASCULAR CARE DURING THE COVID-19 PANDEMIC | J Am Coll Cardiol | 2021 | | CORD-19 |
| 1746 | IMPACT OF THE COVID-19 PANDEMIC ON GENERAL CARDIOLOGY FELLOWSHIP TRAINING: A REGION-WIDE SURVEY OF PROGRAM DIRECTORS | J Am Coll Cardiol | 2021 | | CORD-19 |
| 1747 | PACEMAKER SYNDROME AND CARDIOGENIC SHOCK SECONDARY TO DEVICE AT END OF LIFE DURING COVID-19 PANDEMIC | J Am Coll Cardiol | 2021 | | CORD-19 |
| 1748 | COMPARISON OF VIDEO AND TELEPHONE VIRTUAL VISITS IN THE OUTPATIENT MANAGEMENT OF HEART FAILURE PATIENTS DURING THE COVID-19 PANDEMIC | J Am Coll Cardiol | 2021 | | CORD-19 |
| 1749 | INITIAL SINGLE CENTER ST-SEGMENT ELEVATION MYOCARDIAL INFARCTION EXPERIENCE IN NEW YORK BEFORE AND DURING THE COVID-19 PANDEMIC | J Am Coll Cardiol | 2021 | | CORD-19 |
| 1750 | TEXT MESSAGING INTERVENTION TO PROMOTE CARDIAC HEALTH AND COMBAT LONELINESS DURING SOCIAL DISTANCING | J Am Coll Cardiol | 2021 | | CORD-19 |
