Contributors:S. A. M. den Hartog, D. R. Faulkner, Christopher J. Spiers
This dataset contains a series of MATLAB codes in which the friction coefficient of pure phyllosilicate gouges is predicted as a function of porosity and grain size, relative humidity, normal stress and slip velocity. The codes are based on a microphysical model for phyllosilicate friction that assumes that shearing is controlled by sliding along (001) grain/platelet interfaces operating in series with removal of overlapping grain edge barriers by basal cleavage. Please see our publication in Journal of Geophysical Research - Solid Earth for details.
1.Spray aerosol production from raindrop impact on seawater grows exponentially with increasing raindrop diameter.
2.The calculated spray aerosol production flux from precipitation could be larger than bubble bursting source in marine areas during rain events.
3.Spray aerosols from raindrop impact on seawater/soil contain metals and organics.
Contributors:Gulbin Konakci, berna uran, Özüm Erkin Geyiktepe
This study is to analyse the complementary and alternative treatments for the prevention of COVID-19/Coronavirus in the Turkish news.The sample of this descriptive study consisted of 160 news articles published between 11 March – 11 April 2020 on the websites of three highest-circulating newspapers throughout the nation. Quantitative media context analysis method, a form consisting of 14 questions and 2 sections were employed to evaluate news on newspapers. The data was analysed by using SPSS 21.0 statistical package programme using numbers and percentages.
In an online survey with n = 130 participants potential factors influencing initial trust in AI were asked. These are (1) digital affinity of the respondent, (2) expert status in production management of the respondent, (3) perceived capabilities of the AI, (4) perceived explainablitiy of the AI, (5) predictability of the decision situation and (6) costs of a wrong decision in the present decision situation.
The factors (1) and (2) were measured as between subjects, whereas the factors (3) - (6) are within subject factors.
This dataset contains data drawn from Thomson Reuters Datastream for the Turkish Lira against the currencies of its major trade partners: Germany, Russia, China, Italy, and UK. The time series cover the period from March 1996 to October 2019.
Associated with the dataset is the R code used for running the wavelet coherence of the exchange rate pairs and plotting the Time-Frequency domain plots.
This dataset consists of raw sequencing data (fasta) and analysed relative abundance data (histograms of the dominant 10 species in respective taxonomic ranks ). This project shows the first bacterial diversity profiling of high-microbial-abundance wild tropical marine sponges of southern South China Sea, which are Aaptos aaptos and Xestospongia muta from Bidong and Redang islands, Malaysia. Marine sponges are acknowledged as a bacterial hotspot and resource of novel natural products or genetic material. However, sponge-associated bacteria are difficult to be cultivated and the production of their desirable metabolites are inadequate in terms of rate and quantity, yet bioinformatics and metagenomics tools are progressing. Therefore, the diversity profiling of bacterial communities in marine sponges reveals the approximate gene pool for the gene mining or isolation of bacteria that are potentially and commercially beneficial in manufacturing industry, medicine, or agriculture. The bacterial community data exploited from this project is useful for critical comparison through additional or integrated bioinformatics processing with other marine sponge-associated bacterial community profile data. The community data of this project also unveils some general physiological function of the sponge-associated bacterial assemblage in its local environment. In the data provided, the sponge-associated bacterial communities in A. aaptos of Pulau Bidong, A. aaptos of Pulau Redang, and X. muta of Pulau Bidong have been denoted by A, B, and M, respectively.
Contributors:Elia-Aguado Fraile, Evangelia Chavdoula, Georgios I. Laliotis, Vollter Anastas, Oksana Serebrennikova, Maria D. Paraskevopoulou, Philip N. Tsichlis
KDM2B is a JmjC domain H3K36me2/H3K36me1 demethylase, which immortalizes cells in culture and contributes to the biology of both embryonic and adult stem and progenitor cells. It also functions as an oncogene that contributes to the self-renewal of breast cancer stem cells by regulating polycomb complexes. Here we show that the silencing of KDM2B results in the downregulation of SNAI2 (SLUG), SNAI1 (SNAIL) and SOX9, which also contribute to the biology of mammary stem and progenitor cells. The downregulation of these molecules is posttranscriptional and in the case of the SNAI2-encoded SLUG, it is due to calpain-dependent proteolytic degradation. Mechanistically, the latter depends on the activation of calpastatin-sensitive classical calpain(s) and on the phosphorylation-dependent inhibition of GSK3 via paracrine mechanisms. GSK3 inhibition sensitizes its target SLUG to classical calpains, which are activated by Ca2+ influx and calpastatin down regulation. The degradation of SLUG, induced by the KDM2B knockdown, promotes the differentiation of breast cancer stem cells in culture and reveals an unexpected mechanism of stem cell regulation by a histone demethylase.