Corneliussenkloster7303

Effective measures to reduce the risk of coronavirus disease 2019 (COVID-19) infection in overseas travelers are urgently needed. However, the effectiveness of current testing and isolation protocols is not yet fully understood. Here, we examined how the timing of testing and the number of tests conducted affect the spread of COVID-19 infection associated with airplane travel. We used two mathematical models of infectious disease dynamics to examine how different test protocols changed the density of infected individuals traveling by airplane and entering another country. We found that the timing of testing markedly affected the spread of COVID-19 infection. A single test conducted on the day before departure was the most effective at reducing the density of infected individuals travelling; this effectiveness decreased with increasing time before departure. After arrival, immediate testing was found to overlook individuals infected on the airplane. With respect to preventing infected individuals from entering the destination country, isolation with a single test on day 7 or 8 after arrival was comparable with isolation only for 11 or 14 days, respectively, depending on the model used, indicating that isolation length can be shortened with appropriately timed testing.[This corrects the article DOI 10.1016/j.artd.2020.11.007.].Pseudoaneurysm of the popliteal artery is a rare complication of total knee arthroplasty (TKA), with a reported incidence of 0.0095% to 0.088%. We describe the case of a 66-year-old female who underwent conversion of unicompartmental knee arthroplasty (2014) to a TKA because of instability symptoms. A pseudoaneurysm of the popliteal artery was found postoperatively on ultrasound performed because of persistent symptoms of pain and tightness of her calf and hypesthesia of digits 3 to 5. She was treated endovascularly with placement of a covered stent. At the most recent follow-up (8 months after surgery), the complaints of hypesthesia persist. A pseudoaneurysm of the popliteal artery is a rare, yet well-described, complication of TKA often found coincidentally on Duplex ultrasound usually performed to rule out a deep venous thrombosis. Prompt diagnosis is of great importance given the potential to developing compartment syndrome or irreversible neurological deficits.The Swedish approach to managing the 2020-2021 COVID-19 pandemic has received significant attention in international scholarly work and press. For this dataset, we have reviewed governmental and media archives to build a detailed timeline that chronicles significant policies, interventions, and events in the Swedish management of COVID-19. The dataset contains summary descriptions of what took place, when it happened, and who the principal actors involved were. Links to primary sources are provided for each entry. Because of the level of detail and saturation, the dataset offers a detailed account of Swedish pandemic governance and will benefit anyone working on Swedish pandemic management or doing comparative work between Sweden and other jurisdictions.We aggregate the United States (US) state-level data with LendingClub's loan book covering the period from 2008 to 2019. LendingClub is a FinTech lending company that provides loans through a technology-driven platform. It was one of the pioneering and leading US peer-to-peer (P2P) lending platforms. Our dataset consists of over two million observations (N=2,703,430) with diverse loan, borrowers and state-specific features. We provide the description of variables, descriptive statistics, and STATA code with the full dataset. The US possesses significant cross-state variation in terms of economic and demographic characteristics while having risk-sharing policies at the federal level to protect states' creditworthiness. This unique feature of our combined database creates an ideal opportunity to explore the P2P lending market within the context of macroeconomic variables. As the dataset covers a 12-year period for all US states, it enables further cross-sectional and longitudinal analyses of the FinTech lending market.The data presented here are related to the article entitled "Comparative analysis of Phytophthora genomes reveals oomycete pathogenesis in crops" [1]. These data contain the description of genomic structure of the two plant pathogens, P. fragariae and P. rubi and characterize several gene families associated with pathogenicity of them P450, ACX gene families, CAZymes and effector. This data presents the relevant results of two newly sequenced P. fragariae and P. rubi, so as to provide data for further studies by researchers.Regional data from the UK Government's Department for Transport has been analyzed to produce a forecasted dataset of the uptake of electric vehicles (EVs) within Counties of England to the first quarter of the year 2100 using an S-curve methodology. This data includes all vehicles, not just cars. The historic proportion of electric vehicles in the fleets of these regions is calculated using data from 2011 Q4 to 2021 Q1. This data is then analyzed using SCATE, the S-Curve Adoption Tool for EVs to forecast the future proportion of electric vehicles in these Counties. Two data tables are presented the reformatted historic data and the data from the S-curve analysis. Data is also presented for the collective UK.This paper described the collection of multi-modal physiological signals, which include electroencephalography, electrocardiograph (ECG), photoplethysmography, electrodermal activity, temperature, and accelerometer data, recorded from 89 healthy college students during resting state, the emotion induction and recovery, and a set of cognitive function assessment tasks. Emotion, sleep, cognition, depression, mood, and other factors were evaluated through different methods, and were included in this dataset. Six emotions (neutral, fear, sad, happy, anger, and disgust) were induced by movie clips. The cognitive functions such as sustained attention, response inhibition, working memory, and strategy use, were quantitatively measured by Cambridge neuropsychological test automatic battery. The sleep ECG was collected the night before the emotion-induction experiment, and the sleep quality was analysed based on the sleep ECG. After the experiment, the participants were required to fill in questionnaires to evaluate the emotion regulation strategies, depression score, recent mood, and sleep quality index. The database can not only be directly used for the research of emotion recognition on multi-modal physiological signals, but also can further explore the interactions between emotion, cognition, and sleep.An industrial polycarboxylate superplasticizer sample has been chosen in the Priority Program 2005 of the German Research Foundation (DFG SPP 2005). The molecular properties of this superplasticizer sample, such as molecular weight (Mw, Mn ), the polydispersity index (PDI) and the macromononmer conversion rate were determined using Size Exclusion Chromatography (SEC), and the sample's specific anionic charge amount was obtained via charge titration. Furthermore, the dispersing effectiveness of this superplasticizer sample was assessed through 'mini-slump' tests in pure OPC (CEM I 42.5 R) and in a limestone-calcined clay (LCC) cement. Moreover, the adsorption of the superplasticizer on both cements, and the dosage-dependent development of the zeta potential of both cement suspensions were captured. The data shall be used for the ongoing research within the Priority Program.Tree blossoms have been widely used on the prevention and treatment of a variety of diseases in traditional Chinese medicine for thousand years [1,2]. The growth of flowers is not only for their ornamental value, but also for nutritional, medicinal, cooking, cosmetic and aromatic properties. They are a rich source of many compounds, which play an important role in various metabolic processes of the human body [3]. Edible flowers can promote the global demand for more attractive and delicious food, and can improve the nutritional content of gourmet food [4]. Flowers are beneficial for anti-anxiety, anti-cancer, anti-inflammatory, antioxidant, diuretic and immune-modulator, etc. It is very important to identify edible flowers correctly, because only a few are edible [5]. The shapes or colors of different flowers may be very similar. Visual evaluation is one of the classification methods, but it is error-prone and time-consuming [6]. Flowers are divided into flowers from herbaceous plants (flower) and flower trees (blossom). Now there is a public herbaceous flower dataset [7], but lack of dataset for Chinese medicinal blossoms. This article presents and establishes the dataset for twelve most commonly and economically valuable blossoms used in traditional Chinese medicine. The dataset provide a collection of blossom images on traditional Chinese herbs help Chinese pharmacist to classify the categories of Chinese herbs. In addition, the dataset can serve as a resource for researchers who use different algorithms of machine learning or deep learning for image segmentation and image classification.The concept of a bond energy between a pair of atoms is well-established in chemistry and physics. In materials science, it is a fundamental parameter in the development of thermodynamic models such as the regular, quasi-chemical and sub-regular solution models, as well as the central atoms model. Accurate bond dissociation enthalpies are available for gaseous molecular compounds, but these values are likely to differ significantly from single bond strengths between atoms in liquids and solids. While interatomic potential functions have been developed for atomic pairs by fitting to observed quantities, these functions often contain invariant transformations that yield bond energies that differ by up to a factor of four from values provided by other potentials for the same system, even though both may produce the same physical properties. Moreover, there is presently no widely used approach to determine bond enthalpies in condensed phases. An approach has been developed earlier to calculate bond enthalpies in set of values where the number of bonds in the structure are difficult to establish. click here Used appropriately, these bond enthalpies enable classical approximations that-to first order-can capture critical material properties. A wide range of such estimates are possible, including the energies of vacancies and other atomic defects, solution enthalpies for complex, concentrated solid solution alloys (CCAs), formation enthalpies of higher-order compounds, and metallic glass stability. These bond enthalpies may also be useful for establishing trends in systematic studies that cover many systems, thus narrowing the scope of subsequent experimental measurements or computations which are more accurate, but are also more difficult and time consuming.

Freshly isolated uncultured adipose tissue-derived stromal cells (u-ADSCs), containing miscellaneous cells like the relatively abundant mesenchymal stem cells, are attractive for repair and regenerative therapy. However, the detailed characteristics and therapeutic efficacy of u-ADSCs obtained from disease-affected hosts are unknown. We compared the properties of u-ADSCs obtained from wild-type mice and from a mouse model of non-alcoholic steatohepatitis (NASH).

The NASH model was established by feeding C57BL/6J mice an atherogenic high-fat diet for 4 (NASH (4w)) or 12 weeks (NASH (12w)), followed by the isolation and characterization of u-ADSCs. Wild-type u-ADSCs or NASH-derived u-ADSCs were administered to mice with NASH cirrhosis, followed by analyses of hepatic inflammatory cells, antigen profiles, fibrosis, and gene expression.

Wild-type u-ADSCs and NASH-derived u-ADSCs did not show marked differences in surface antigen profiles. In NASH (4w) u-ADSCs, but not NASH (12w) u-ADSCs, the frequencies of the leukocyte markers CD11b, CD45, and CD44 were elevated; furthermore, we observed an increase in the M1/M2 macrophage ratio only in NASH (12w) u-ADSCs.