Monitoring of Eschericia. Coli O157 From Raw Cow\u27s Milk in the Storage Tank in Sleman District, YOGYAKARTA

Escherichia coli O157 is a member of Enterobacteriaceae which has somatic antigen O157. E. coli O157 isassociated with life threatening diseases such as hemorrhagic colitis (HC), hemolytic uremic syndrome(HUS) and thrombotic thrombocytopenic purpura (TTP). Raw milk is considered a high risk food as it ishighly nutritious and serves as an ideal medium for bacterial growth. The aim of this study was to monitorE. coli O157 contamination in the storage tank before distribution in Sleman district, Yogyakarta. Totalof 30 raw milk samples were collected from the storage tank in Sleman district. Tryptic Soy Broth (TSB)media added with novobiocin was used as enrichment medium, while Chromocult Coliform Agar (CCA)and Chromagar O157 medium for screening test. Additional analysis including serologic and moleculartest of isolates obtained. Based on the screening result, 11,428 colonies were considered as E. coli O157 suspectthat produced red colour in CCA medium. Further screening employing Chromagar O157 mediumresulted in 3 potential colonies which produce mauve colour. These colonies were later tested with LatexTest O157 for serological reason, showing that none were E. coli O157. Molecular analysis with primer pairsfor detection of Stx1 and Stx2 genes confirm that none of the suspected strains have genes that encodedthe toxin, Stx1 and Stx2. These results showed that the presence of STEC (Shiga toxin E. coli) hasn\u27t foundin the tested samples of raw cow\u27s milk

Madym: A C++ toolkit for quantitative DCE-MRI analysis

In dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) a sequence of MRI images are acquired to measure the passage of a contrast-agent within a tissue of interest. Quantitative DCE-MRI (DCE-MRI), in which one or more tracer-kinetic models are fitted to the contrast-agent concentration time-series, enables the estimation of clinically useful parameters of tissue microvasculature (Tofts et al., 1999). Madym is a C++ toolkit for quantitative DCE-MRI analysis developed at the University of Manchester. It comprises a set of command line tools and a graphical user-interface based on an extendable C++ library. It is cross-platform, and requires few external libraries to build from source. Pre-built binaries (with all dependencies included) for Windows, MacOS and Linux are available so that Madym can be installed directly for users not wanting to or unable to compile the C++ source themselves. We have also developed complementary interfaces in Matlab (available in a separate open-source repository (M. Berks, 2021b)) and python (integrated with the main toolkit), that allow the flexibility of developing in those scripting languages, while allowing C++ to do the heavy-duty computational work of tracer-kinetic model fittin

Does conflict improve story dialogue? : a thesis presented in partial fulfilment of the requirements for the degree of Master of Science in Psychology at Massey University, Manawatū, New Zealand

While theorising on what makes a good story goes back over 1000 years, empirical research is more recent, and limited in extent. One almost universally held theory is that conflict improves stories. However, conflict is a broad and poorly conceptualised variable, and there is a dearth of empirical research into its effects on stories. Here we show that one specific form of conflict – conflictual dialogue – does not measurably improve ratings of story quality or how entertaining a story is. We used specially created stories, manipulated to create different levels of conflictual dialogue, in a repeated measures experiment. After the passage of dialogue, participants rated story quality and how entertaining they found the story. While the conflict manipulation was successful, is produced no significant difference in the rating of either quality or entertainment. However, the study may have been under-powered to find a small effect size. Despite the power issue, this study raises questions concerning whether conflict has a meaningful positive effect on the audience appreciation of conflictual dialogue, and may have wider implications for understanding the effects of conflict on stories

A comparison of the generalizability of MMPI code-type correlates selected by two statistical methods.

Dept. of Psychology. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis1975 .B38. Source: Masters Abstracts International, Volume: 40-07, page: . Thesis (M.A.)--University of Windsor (Canada), 1975

DeepSig: Deep learning improves signal peptide detection in proteins

Motivation: The identification of signal peptides in protein sequences is an important step toward protein localization and function characterization. Results: Here, we present DeepSig, an improved approach for signal peptide detection and cleavage-site prediction based on deep learning methods. Comparative benchmarks performed on an updated independent dataset of proteins show that DeepSig is the current best performing method, scoring better than other available state-of-the-art approaches on both signal peptide detection and precise cleavage-site identification. Availability and implementation: DeepSig is available as both standalone program and web server at https://deepsig.biocomp.unibo.it. All datasets used in this study can be obtained from the same website

A signal sequence suppressor mutant that stabilizes an assembled state of the twin arginine translocase

\ua9 2017, National Academy of Sciences. All rights reserved. The twin-arginine protein translocation (Tat) system mediates transport of folded proteins across the cytoplasmic membrane of bacteria and the thylakoid membrane of chloroplasts. The Tat system of Escherichia coli is made up of TatA, TatB, and TatC components. TatBC comprise the substrate receptor complex, and active Tat translocases are formed by the substrate-induced association of TatA oligomers with this receptor. Proteins are targeted to TatBC by signal peptides containing an essential pair of arginine residues. We isolated substitutions, locating to the transmembrane helix of TatB that restored transport activity to Tat signal peptides with inactivating twin arginine substitutions. A subset of these variants also suppressed inactivating substitutions in the signal peptide binding site on TatC. The suppressors did not function by restoring detectable signal peptide binding to the TatBC complex. Instead, site-specific cross-linking experiments indicate that the suppressor substitutions induce conformational change in the complex and movement of the TatB subunit. The TatB F13Y substitution was associated with the strongest suppressing activity, even allowing transport of a Tat substrate lacking a signal peptide. In vivo analysis using a TatA-YFP fusion showed that the TatB F13Y substitution resulted in signal peptide-independent assembly of the Tat translocase. We conclude that Tat signal peptides play roles in substrate targeting and in triggering assembly of the active translocase