Kornumcoyle5640

The COVID-19 pandemic causes museums to seek financial aid from corporate sponsors. However, corporate sponsorship may have negative consequences for museums in terms of their authenticity. In this study, we therefore examine whether the extraordinary circumstances caused by the COVID-19 crisis change tourists' perceptions of corporate sponsorship. Indeed, we find that tourists react more positively to corporate sponsorship if the health crisis is salient. Moreover, we show that corporate sponsorship by multiple smaller- and medium-sized companies generates more positive outcomes for museums than the effort of a single large company, in terms of perceived authenticity loss, visiting intentions, and willingness to pay.Security is currently one of the top concerns in our society. From governmental installations to private companies and medical institutions, they all have to address directly with security issues as access to restricted information quarantine control, or criminal tracking. As an example, identifying patients is critical in hospitals or geriatrics in order to isolate infected people, which has proven to be a non- trivial issue with the COVID-19 pandemic that is currently affecting all countries, or to locate fled patients. Face recognition is then a non-intrusive alternative for performing these tasks. Although FaceNet from Google has proved to be almost perfect, in a multi-face scenario its performance decays rapidly. In order to mitigate this loss of performance, in this paper a cluster based on the Neural Computer Stick version 2 and OpenVINO by Intel is proposed. A detailed power and runtime study is shown for two programming models, namely multithreading and multiprocessing. L-NAME chemical structure Furthermore, 3 different hosts have been considered. In the most efficient configuration, an average of 6 frames per second has been achieved using the Raspberry Pi 4 as host and with a power consumption of just 11.2W, increasing by a factor of 3.3X the energy efficiency with respect to a PC-based solution in a multi-face scenario.One of the negative components of international travel is the higher likelihood of emergencies that affect a large number of people (mass negative impact on health), for example the transmission of infectious diseases, as e.g. SARS CoV-2 pandemic. The frequency and sources of mass-casualty incidents are currently changing dynamically, especially with the onset of terrorist attacks and large-scale natural disasters. Health services and emergency medical service (EMS) take part in addressing these emergencies. For this reason, this paper deals with the EMS emergency preparedness in the Czech Republic for an emergency events with a large number of affected people. EMS in the Czech Republic are not provided by the state but by individual regions. EMS in the Czech Republic do not have central management, nor do they use uniform data documentation. The investigation of the current situation has shown that the attitudes of EMS in individual regions of the Czech Republic to the tasks of emergency preparedness for mass casualty incidents are not identical. The current method of evaluating improvements in the quality of EMS emergency preparedness lacks consistency and is not comprehensively supervised. To tackle this, the paper presents an internal audit methodology for assessing the level of emergency preparedness of the emergency medical services. The authors therefore defined the decisive criteria and indicators assessing the quality level of EMS emergency preparedness at major disaster with multiple victim incident. When developing the methodological procedure of the preparedness evaluation, an algorithm was chosen, based on the gradual verification of the evaluation criteria and indicators by an expert group. Some findings and recommendations based on a research carried out in EMS in individual regions of the Czech Republic are presented.Behavioral Momentum Theory (BMT) is often described as analogous to Newton's (1687) laws of motion. That is to say, similar to an object in motion continuing in motion unless acted upon by a force, responses occurring in a static environment will continue to occur at the same rate, unless presented with a disruptor (Nevin, Tota, Torquato, & Shull, Journal of the Experimental Analysis of Behavior, 53, 359-379, 1990). When evaluating response rates through a behavioral momentum framework, responding continuing after a change in reinforcer conditions is said to persist. Previous research conducted with nonhuman animals indicates greater response persistence following conditions with either higher reinforcer rates or higher reinforcer magnitudes (Nevin, Journal of the Experimental Analysis of Behavior, 21(3), 389-408, 1974; Nevin et al., Journal of the Experimental Analysis of Behavior, 53, 359-379, 1990). Although BMT's implications extend across human and nonhuman species, this literature review attempts to provide practitioners and researchers information regarding response persistence across various conditions with human participants.

The latest European heart failure guidelines define patients as those with reduced (HFrEF), mid-range, and preserved (HFpEF) left ventricular ejection fraction (LVEF; <40%, 40%-49%, and ≥50%, respectively). We investigated the causes of rehospitalizations/deaths in our institution's heart failure patients and focused on differences in the clinical presentation, risk profile, and long-term outcomes between the HFrEF and HFpEF groups in a real-life scenario.

We followed 1274 patients discharged from heart failure hospitalization in 2 centres. The mean patient age was 75.9 years, and men and women were represented equally. During the minimal follow-up of 2 years, 57% of patients were hospitalised for any cause, 24.9% for decompensated heart failure, and 43.3% for any cardiovascular cause. A total of 36.1% of patients died, either with prior (11.8%) or without prior (24.3%) heart failure rehospitalization. Heart failure was also the most frequent cause of cardiovascular hospitalization, followed by gastroifiles, and cardiovascular event rates.To elucidate the genetics of coronary artery disease (CAD) in the Japanese population, we conducted a large-scale genome-wide association study of 168,228 individuals of Japanese ancestry (25,892 cases and 142,336 controls) with genotype imputation using a newly developed reference panel of Japanese haplotypes including 1,781 CAD cases and 2,636 controls. We detected eight new susceptibility loci and Japanese-specific rare variants contributing to disease severity and increased cardiovascular mortality. We then conducted a trans-ancestry meta-analysis and discovered 35 additional new loci. Using the meta-analysis results, we derived a polygenic risk score (PRS) for CAD, which outperformed those derived from either Japanese or European genome-wide association studies. The PRS prioritized risk factors among various clinical parameters and segregated individuals with increased risk of long-term cardiovascular mortality. Our data improve the clinical characterization of CAD genetics and suggest the utility of trans-ancestry meta-analysis for PRS derivation in non-European populations.Somatic mutations in driver genes may ultimately lead to the development of cancer. Understanding how somatic mutations accumulate in cancer genomes and the underlying factors that generate somatic mutations is therefore crucial for developing novel therapeutic strategies. To understand the interplay between spatial genome organization and specific mutational processes, we studied 3,000 tumor-normal-pair whole-genome datasets from 42 different human cancer types. Our analyses reveal that the change in somatic mutational load in cancer genomes is co-localized with topologically-associating-domain boundaries. Domain boundaries constitute a better proxy to track mutational load change than replication timing measurements. We show that different mutational processes lead to distinct somatic mutation distributions where certain processes generate mutations in active domains, and others generate mutations in inactive domains. Overall, the interplay between three-dimensional genome organization and active mutational processes has a substantial influence on the large-scale mutation-rate variations observed in human cancers.Here, we present a joint-tissue imputation (JTI) approach and a Mendelian randomization framework for causal inference, MR-JTI. JTI borrows information across transcriptomes of different tissues, leveraging shared genetic regulation, to improve prediction performance in a tissue-dependent manner. Notably, JTI includes the single-tissue imputation method PrediXcan as a special case and outperforms other single-tissue approaches (the Bayesian sparse linear mixed model and Dirichlet process regression). MR-JTI models variant-level heterogeneity (primarily due to horizontal pleiotropy, addressing a major challenge of transcriptome-wide association study interpretation) and performs causal inference with type I error control. link2 We make explicit the connection between the genetic architecture of gene expression and of complex traits and the suitability of Mendelian randomization as a causal inference strategy for transcriptome-wide association studies. We provide a resource of imputation models generated from GTEx and PsychENCODE panels. link3 Analysis of biobanks and meta-analysis data, and extensive simulations show substantially improved statistical power, replication and causal mapping rate for JTI relative to existing approaches.Adipocyte differentiation is driven by waves of transcriptional regulators that reprogram the enhancer landscape and change the wiring of the promoter interactome. Here, we use high-throughput chromosome conformation enhancer capture to interrogate the role of enhancer-to-enhancer interactions during differentiation of human mesenchymal stem cells. We find that enhancers form an elaborate network that is dynamic during differentiation and coupled with changes in enhancer activity. Transcription factors (TFs) at baited enhancers amplify TF binding at target enhancers, a phenomenon we term cross-interaction stabilization of TFs. Moreover, highly interconnected enhancers (HICE) act as integration hubs orchestrating differentiation by the formation of three-dimensional enhancer communities, inside which, HICE, and other enhancers, converge on phenotypically important gene promoters. Collectively, these results indicate that enhancer interactions play a key role in the regulation of enhancer function, and that HICE are important for both signal integration and compartmentalization of the genome.The angiopoietin (Ang)-Tie pathway is essential for the proper maturation and remodeling of the vasculature. Despite its importance in disease, the mechanisms that control signal transduction through this pathway are poorly understood. Here, we demonstrate that heparan sulfate glycosaminoglycans (HS GAGs) regulate Ang-Tie signaling through direct interactions with both Ang ligands and Tie1 receptors. HS GAGs formed ternary complexes with Ang1 or Ang4 and Tie2 receptors, resulting in potentiation of endothelial survival signaling. In addition, HS GAGs served as ligands for the orphan receptor Tie1. The HS-Tie1 interaction promoted Tie1-Tie2 heterodimerization and enhanced Tie1 stability within the mature vasculature. Loss of HS-Tie1 binding using CRISPR-Cas9-mediated mutagenesis in vivo led to decreased Tie protein levels, pathway suppression and aberrant retinal vascularization. Together, these results reveal that sulfated glycans use dual mechanisms to regulate Ang-Tie signaling and are important for the development and maintenance of the vasculature.