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A positive correlation was found between the RNFL and GCC values and the SCP VD and RPC VD. In MS patients, RPC VD values decreased in correlation with decreases in RNFL and GCC. This reduction increased as the disease duration and disability criteria increased. OCT and OCTA may be important biomarkers in MS.Previously, optic neuritis was thought to be typical, i.e. idiopathic or multiple sclerosis (MS) related, associated with a good visual prognosis, or atypical, i.e. not associated with MS and requiring corticosteroids or plasma exchange for vision to recover. More recently, the importance of optic neuritis in neuromyelitis optica spectrum disorder and myelin oligodendrocyte glycoprotein (MOG) antibody disease has become more appreciated. The results of the Optic Neuritis Treatment Trial (ONTT) has influenced how optic neuritis is treated around the world. For this review we surveyed the international literature on optic neuritis in adults. selleck kinase inhibitor Our aims were first to find the reported incidence of optic neuritis in different countries and to ascertain what percentage of cases were seropositive for anti-aquaporin 4 and anti-MOG antibodies, and second, to document the presenting features, treatment, and outcomes from a first episode of the different types of optic neuritis from these countries, and to compare the results with the outcomes of the ONTT cohort. From these data we have sought to highlight where ambiguities currently lie in how to manage optic neuritis and have made recommendations as to how future treatment trials in optic neuritis should be carried out in the current antibody testing era.The protection which the law gives animals is based on a fundamentally different philosophy to that it gives people. With people, causing significant physical harm is nearly always prohibited, irrespective of any benefit which might accrue to others. By contrast, animals' essential interests are weighed against a wide range of human interests, and usually they lose out. That routinely means that significant harm is inflicted on them, quite legally. Many consider that there is therefore a pressing need for lawyers committed to maximising the protection which animals receive. This article discusses the numerous ways in which lawyers can help animal protection organisations realise their goals, with two case studies. The first relates to the global trade in seal products and the second to the legal status of domesticated animals as chattels and the implications this has for their welfare.Novel corona virus pneumonia (COVID-19) broke out in 2019, which had a great impact on the development of world economy and people's lives. As a new mainstream image processing method, deep learning network has been constructed to extract medical features from chest CT images, and has been used as a new detection method in clinical practice. However, due to the medical characteristics of COVID-19 CT images, the lesions are widely distributed and have many local features. Therefore, it is difficult to diagnose directly by using the existing deep learning model. According to the medical features of CT images in COVID-19, a parallel bi-branch model (Trans-CNN Net) based on Transformer module and Convolutional Neural Network module is proposed by making full use of the local feature extraction capability of Convolutional Neural Network and the global feature extraction advantage of Transformer. According to the principle of cross-fusion, a bi-directional feature fusion structure is designed, in which features extracted from two branches are fused bi-directionally, and the parallel structures of branches are fused by a feature fusion module, forming a model that can extract features of different scales. To verify the effect of network classification, the classification accuracy on COVIDx-CT dataset is 96.7%, which is obviously higher than that of typical CNN network (ResNet-152) (95.2%) and Transformer network (Deit-B) (75.8%). These results demonstrate accuracy is improved. This model also provides a new method for the diagnosis of COVID-19, and through the combination of deep learning and medical imaging, it promotes the development of real-time diagnosis of lung diseases caused by COVID-19 infection, which is helpful for reliable and rapid diagnosis, thus saving precious lives.Health care systems in the United States are experimenting with a form of surveillance and intervention known as "hot spotting," which targets high-cost patients-the so-called "super-utilizers" of emergency departments-with intensive health and social services. Through a calculative deployment of resources to the costliest patients, health care hot spotting promises to simultaneously improve population health and decrease financial expenditures on health care for impoverished people. Through an ethnographic investigation of hot spotting's modes of distribution and its workings in the lives of patients and providers, we find that it targets the same individuals and neighborhoods as the police, who maintain longer-standing practices of hot spotting in zones of racialized urban poverty. This has led to a convergence of caring and punitive strategies of governance. The boundaries between them are shifting as a financialized logic of governance has come to dominate both health and criminal justice. [health care, chronic illness, governance, policing, poverty, United States].I use an unbalanced panel of over 11,000 academic records spanning from Spring 2017 to Spring 2020 to identify the difference in effects of the COVID-19 pandemic across lower- and higher-income students' academic performance. Using difference-in-differences models and event study analyses with individual fixed effects, I find a differential effect by students' pre-COVID-19 academic performance. Lower-income students in the bottom quartile of the Fall 2019 cumulative GPA distribution outperformed their higher-income peers with a 9% higher Spring 2020 GPA. This differential is fully explained by students' use of the flexible grading policy with lower-income ones being 35% more likely to exercise the pass/fail option than their counterparts. While no such GPA advantage is observed among top-performing lower-income students, in the absence of the flexible grading policy these students would have seen their GPA decrease by 5% relative to their counterfactual pre-pandemic mean. I find suggestive evidence that this lower performance may be driven by lower-income top-performing students experiencing greater challenges with online learning. These students also reported a higher use of incompletes than their higher-income peers and being more concerned about maintaining (merit-based) financial aid.
The present study examines how varying levels of restrictions on the nightlife economy have impacted violent crime during the COVID-19 pandemic and the extent to which the crime preventive side-effects of restrictions are associated with the density of alcohol outlets.
The Data stems from geocoded locations of violent crimes combined with data on the density of on-premises alcohol outlets and the level of COVID-19 restrictions in Copenhagen, Denmark. We use a negative binomial count model with cluster robust standard error to assess the effect of the interaction between alcohol outlet density and COVID-related restriction levels on the nightlife economy on the frequency of violent crime.
The article reveals how both the level of restrictions on the nightlife economy and the density of alcohol outlets significantly impacted the frequency of violent crime. The regression analysis shows that the effect of restrictions on the nightlife economy depends on the concentration of on-premises alcohol outlets in the area. In areas with a high concentration of outlets, we observe a much higher reduction in crime as consequence of the COVID-19 related restrictions.
The results shows that a more restricted nightlife economy, including earlier closing times, could have a crime preventive effect, especially in areas with a high density of alcohol outlets.
The results shows that a more restricted nightlife economy, including earlier closing times, could have a crime preventive effect, especially in areas with a high density of alcohol outlets.The note puts forward the idea of revealed desirability, a novel instrument, which like revealed preference is observable from choice and important for individual and social welfare. We provide the axiomatic underlying individual's choice model, preliminary experimental results that support the idea, and an appealing allocation rule that uses the revealed desirability information along with the revealed-preference information.
The online version supplementary material available at 10.1007/s11238-021-09855-8.
The online version supplementary material available at 10.1007/s11238-021-09855-8.The scientific community has found deep interest in anthraquinone-based compounds due to their therapeutic properties and challenging structural elements. Various architecturally beautiful natural products have been successfully synthesized in recent decades utilizing two main strategies either an early-stage synthesis of the anthraquinone and further elongation of the system, or a late-stage introduction of the anthraquinone ring moiety. Select syntheses of complex anthraquinone monomers and dimers within the past 20 years are described with an emphasis on the retrosynthetic disconnections that shape the anthraquinone-installation strategy.In response to the unexpected outbreak of the novel coronavirus (COVID-19), governments worldwide implemented stringent measures to contain its transmission. This study investigates the effect of the stringency of COVID-19 outbreak government measures on hotel occupancy rates in the world's top ten visitor destination countries. The analysis in this study draws upon the recently developed novel indicator, government stringency, compiled systematically by the Oxford COVID-19 Government Response Tracker for March 2020 to March 2021. By adopting a structural consumer choice model, the panel estimation procedure is applied to assess the effect of government stringency on hotel occupancy rates. The findings revealed a statistically significant adverse effect of government stringency on hotel occupancy rates. The findings suggest that although government containment measures had the desired effect of reducing transmissions of COVID-19 and a crucial predictor of hotel occupancy rates in the top ten tourist destination countries, it adversely impacted the tourism hospitality sector through reduced demand for hotel accommodation as occupancy rates plunged. This study's analysis supports the consumer choice modelling approach as it can be considered a relevant analytical framework that is satisfactorily able to explain the adverse effects of governments containment measures on hotel occupancy rates. This research contributes to the tourism modelling literature and complements previous studies in providing an additional understanding of the effect of government stringency measures based on the newly established Oxford COVID-19 Government Response Tracker Database within a coherent modelling framework.This article discusses the composition and transmission of early Buddhist texts with specific reference to sutras. After briefly summarizing the main reasons why it is likely that these oral compositions were designed to be memorized and transmitted verbatim, I will discuss the main types of changes that these texts underwent in the course of their transmission and the reasons such changes occurred, then attempt to give an account of the challenge that change, particularly intentional change, posed to the oral transmission of fixed, memorized texts.