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Pyrrolopyrimidine Pulled Kinase Inhibitors for the Treatment of Cryptosporidiosis.
Polyvinyl alcohol (PVA) is a water-soluble synthetic polymer used in eye drops, embolization particles, and artificial cartilage. It has also been shown to cause expansion of functional multipotent self-renewing hematopoietic stem cells under serum-free conditions. In this study, we examined the effects of PVA on human pancreatic ductal adenocarcinoma (PDAC) cell lines using 2-dimensional (2D) and 3D-cultures with serum-free medium. In the 2D-culture, PVA-treatment induced an aggregated colony-like appearance in PDAC cells. It increased the growth of PK-8 cells in a dose-dependent manner as well as significantly increasing migration and invasion abilities. qRT-PCR showed an increase in α2 integrin and a decrease in matrix metalloprotease levels in PVA-treated PK-8 cells. Through qRT-PCR analysis, β1 integrin expression at the mRNA level was found to be decreased; however, it was unaltered at the protein level when assessed using FACS analysis. PVA further induced mesenchymal to epithelial transition-like alterations, including increased E-cadherin and decreased Vimentin and N-cadherin expression. Four cancer stem cell (CSC) markers were higher in PVA-treated PK-8 cells compared to controls. In 3D-culture, PVA-treated PK-8 cells showed a rod-like appearance with larger sphere size and higher growth ability. qRT-PCR showed that CSC markers did not increase and 2 of 4 drug transporters had decreased in PVA-treated PK-8 cells. These findings suggest that PVA increases the growth, migration, invasion, and sphere size of PK-8 cells, but does not increase the proportion of pancreatic CSCs under 3D-culture conditions with serum-free medium.This paper examines the time-frequency relationship between the number of confirmed COVID-19 cases, temperature, exchange rates and stock market return in the top-15 most affected countries by the COVID-19 pandemic. We employ Wavelet Coherence and Partial Wavelet Coherence on the daily data from 1st February, 2020 to 13th May, 2020. This study adds to the literature by implementing the Wavelet Coherence technique to explore the unexpected outbreak effects of the global pandemic on temperature, exchange rates and stock market returns. Our results reveal (i) there is evidence of cyclicality between temperature and COVID-19 cases, implying that average daily temperature has a significant impact on the spread of the COVID-19 disease in most of the countries; (ii) strong connectedness at low frequencies display that COVID-19 cases have a significant long-term impact on the exchange rate returns and stock markets returns of the most affected countries under study; (iii) after controlling for the effect of stock market returns and temperature, the co-movements between the confirmed COVID-19 cases and exchange rate returns becomes stronger; (iv) after controlling for the effect of exchange rate returns and temperature, the co-movements between the confirmed COVID-19 cases and stock market returns become stronger. BMS309403 Apart from theoretical contribution, this paper offers value to investors and policymakers as they attempt to combat the coronavirus risk and shape the economy and stock market behavior.This study aims to bring about a novel approach to the analysis of Sustainable Development Goals (SDGs) based solely on the appearance of news. Our purpose is to provide a monitoring tool that enables world news to be detected in an SDG-oriented manner, by considering multilingual as well as wide geographic coverage. The association of the goals with news basis the World Bank Group Topical Taxonomy, from which the selection of search words approximates the 17 development goals. News is extracted from The GDELT Project (Global Database of Events, Language and Tone) which gathers both printed as well as online news from around the world. 60 851 572 relevant news stories were identified in 2019. The intertwining of world news with SDGs as well as connections between countries are interpreted and highlight that even in the most SDG-sensitive countries, only 2.5% of the news can be attributed to the goals. Most of the news about sustainability appears in Africa as well as East and Southeast Asia, moreover typically the most negative tone of news can be observed in Africa. In the case of climate change (SDG 13), the United States plays a key role in both the share of news and the negative tone. Using the tools of network science, it can be verified that SDGs can be characterized on the basis of world news. This news-centred network analysis of SDGs identifies global partnerships as well as national stages of implementation towards a sustainable socio-environmental ecosystem. In the field of sustainability, it is vital to form the attitudes and environmental awareness of people, which strategic plans cannot address but can be measured well through the news.There is a growing expectation that doctoral candidates and early career academics publish research outputs such as journal articles and conference papers, and that they share their findings with key stakeholders beyond academia. However, it is not known if these expectations are being coupled with support from mentors and peers within institutions. Through interviews with recent PhD graduates working as early career researchers in Australia and Japan, this paper investigates if mentor and peer support for producing both academic and translational outputs was forthcoming during their doctoral candidature and beyond. It also investigates kinds of supports provided in doctoral candidature and early career. Thirty early career researchers in Australia and Japan took part in this qualitative study involving in-depth semi-structured interviews with a purposive sample of respondents. Researchers made translation support available for Japanese respondents so that those with limited English could take part. Findings suggest that mentor and peer support were not universal, and some respondents did not have a mentor or significant peer influence supporting their production of academic or translational research outputs. Support for sharing research with audiences beyond academia could be limited, with production of outputs for academic audiences consistently a greater focus of support. There were no mentoring supports for translational outputs that had salience across Australia and Japan within the sample. While limited attention has been given to the role that peer influence may play in supporting research output production of early career researchers the more even power relationship between peers as opposed to the peer-/mentor dyad can allow unique supports to flourish. Where institutions expect growing and diverse research output production by doctoral candidates and early career researchers, they should also ensure that support is provided through facilitating mentoring and peer relationships.
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