71 research outputs found
Overview of building information modelling in healthcare projects
In this paper, we explore how BIM functionalities together with novel
management concepts and methods have been utilized in thirteen hospital
projects in the United States and the United Kingdom. Secondary data collection
and analysis were used as the method. Initial findings indicate that the utilization
of BIM enables a holistic view of project delivery and helps to integrate project
parties into a collaborative process. The initiative to implement BIM must come
from the top down to enable early involvement of all key stakeholders. It seems
that it is rather resistance from people to adapt to the new way of working and
thinking than immaturity of technology that hinders the utilization of BIM
Electron cloud buildup and impedance effects on beam dynamics in the future circular e+e− collider and experimental characterization of thin TiZrV vacuum chamber coatings
The Future Circular Collider FCC-ee is a study toward a high luminosity electron-positron collider with a centre-of-mass energy from 91 GeV to 365 GeV. Due to the beam parameters and pipe dimensions, collective effects and electron cloud can be very critical aspects for the machine and can represent the main limitations to its performance. An estimation of the electron cloud build up in the main machine components and an impedance model are required to analyze the induced instabilities and to find solutions for their mitigation. Special attention has been given to the resistive wall impedance associated with a layer of nonevaporable getter (NEG) coating on the vacuum chamber required for electron cloud mitigation. The studies presented in this paper will show that minimizing the thickness of this coating layer is mandatory to increase the single bunch instability thresholds in the proposed lepton collider at 45.6 GeV. For this reason, NEG thin films with thicknesses below 250 nm have been investigated by means of numerical simulations to minimize the resistive wall impedance. In parallel, an extensive measurement campaign was performed at CERN to characterize these thin films, with the purpose of finding the minimum effective thickness satisfying vacuum and electron cloud requirements
A Praise for Defensive Programming: Leveraging Uncertainty for Effective Malware Mitigation
A promising avenue for improving the effectiveness of behavioral-based
malware detectors would be to combine fast traditional machine learning
detectors with high-accuracy, but time-consuming deep learning models. The main
idea would be to place software receiving borderline classifications by
traditional machine learning methods in an environment where uncertainty is
added, while software is analyzed by more time-consuming deep learning models.
The goal of uncertainty would be to rate-limit actions of potential malware
during the time consuming deep analysis. In this paper, we present a detailed
description of the analysis and implementation of CHAMELEON, a framework for
realizing this uncertain environment for Linux. CHAMELEON offers two
environments for software: (i) standard - for any software identified as benign
by conventional machine learning methods and (ii) uncertain - for software
receiving borderline classifications when analyzed by these conventional
machine learning methods. The uncertain environment adds obstacles to software
execution through random perturbations applied probabilistically on selected
system calls. We evaluated CHAMELEON with 113 applications and 100 malware
samples for Linux. Our results showed that at threshold 10%, intrusive and
non-intrusive strategies caused approximately 65% of malware to fail
accomplishing their tasks, while approximately 30% of the analyzed benign
software to meet with various levels of disruption. With a dynamic, per-system
call threshold, CHAMELEON caused 92% of the malware to fail, and only 10% of
the benign software to be disrupted. We also found that I/O-bound software was
three times more affected by uncertainty than CPU-bound software. Further, we
analyzed the logs of software crashed with non-intrusive strategies, and found
that some crashes are due to the software bugs
Efficient construction of the kedarcidin chromophore ansamacrolide
The streamlined assembly of the ansamacrolide framework of the kedarcidin chromophore via an efficient atropselective Sonogashira coupling step is described. To this end, two newly improved practical syntheses of the cyclopentene and dine fragments have been developed, which feature 0.2 mol % catalytic loadings for an RCM step and i-PrMgCl/CH2I2 as a new entry to gem-disubstituted epoxides from ketones, both being applicable to 49-g scales
Host innate immune responses and microbiome profile of neonatal calves challenged with Cryptosporidium parvum and the effect of bovine colostrum supplementation
IntroductionCalves are highly susceptible to gastrointestinal infection with Cryptosporidium parvum (C. parvum), which can result in watery diarrhea and eventually death or impaired development. With little to no effective therapeutics, understanding the host’s microbiota and pathogen interaction at the mucosal immune system has been critical to identify and test novel control strategies.MethodsHerein, we used an experimental model of C. parvum challenge in neonatal calves to describe the clinical signs and histological and proteomic profiling of the mucosal innate immunity and microbiota shifts by metagenomics in the ileum and colon during cryptosporidiosis. Also, we investigated the impact of supplemental colostrum feeding on C. parvum infection.ResultsWe showed that C. parvum challenged calves experienced clinical signs including pyrexia and diarrhea 5 days post challenge. These calves showed ulcerative neutrophil ileitis with a proteomic signature driven by inflammatory effectors, including reactive oxygen species and myeloperoxidases. Colitis was also noticed with an aggravated mucin barrier depletion and incompletely filled goblet cells. The C. parvum challenged calves also displayed a pronounced dysbiosis with a high prevalence of Clostridium species (spp.) and number of exotoxins, adherence factors, and secretion systems related to Clostridium spp. and other enteropathogens, including Campylobacter spp., Escherichia sp., Shigella spp., and Listeria spp. Daily supplementation with a high-quality bovine colostrum product mitigated some of the clinical signs and modulated the gut immune response and concomitant microbiota to a pattern more similar to that of healthy unchallenged calves.DiscussionC. parvum infection in neonatal calves provoked severe diarrheic neutrophilic enterocolitis, perhaps augmented due to the lack of fully developed innate gut defenses. Colostrum supplementation showed limited effect mitigating diarrhea but demonstrated some clinical alleviation and specific modulatory influence on host gut immune responses and concomitant microbiota
Wolbachia Prophage DNA Adenine Methyltransferase Genes in Different Drosophila-Wolbachia Associations
Wolbachia is an obligatory intracellular bacterium which often manipulates the reproduction of its insect and isopod hosts. In contrast, Wolbachia is an essential symbiont in filarial nematodes. Lately, Wolbachia has been implicated in genomic imprinting of host DNA through cytosine methylation. The importance of DNA methylation in cell fate and biology calls for in depth studing of putative methylation-related genes. We present a molecular and phylogenetic analysis of a putative DNA adenine methyltransferase encoded by a prophage in the Wolbachia genome. Two slightly different copies of the gene, met1 and met2, exhibit a different distribution over various Wolbachia strains. The met2 gene is present in the majority of strains, in wAu, however, it contains a frameshift caused by a 2 bp deletion. Phylogenetic analysis of the met2 DNA sequences suggests a long association of the gene with the Wolbachia host strains. In addition, our analysis provides evidence for previously unnoticed multiple infections, the detection of which is critical for the molecular elucidation of modification and/or rescue mechanism of cytoplasmic incompatibility
Understanding conspiracy theories
Scholarly efforts to understand conspiracy theories have grown significantly in recent years, and there is now a broad and interdisciplinary literature that we review in this article. We ask three specific questions. First, what are the factors that are associated with conspiracy theorizing? Our review of the literature shows that conspiracy beliefs result from a range of psychological, political and social factors. Next, how are conspiracy theories communicated? Here, we explain how conspiracy theories are shared among individuals and spread through traditional and social media platforms. Next, what are the risks and rewards associated with conspiracy theories? By focusing on politics and science, we argue that conspiracy theories do more harm than good. Finally, because this is a growing literature and many open questions remain, we conclude by suggesting several promising avenues for future research
‘Europe’ in Greece: Lay constructions of Europe in the context of Greek immigration debates
In this paper, we analyse discourses about Europe in Greek debates about immigration and citizenship and highlight the complexities of ‘Europeanness’ as a symbolic resource for argumentation in these debates. Our data consist of lay discourses from two rounds of online public deliberation (2009/2010 and 2015) about a controversial new citizenship law in Greece. Our analysis shows that Europe is an ambivalent category. On the one hand, Europe symbolises progress, but, on the other hand, it is also constructed in terms of decline and ‘contamination’ by multiculturalism. Further, our analysis shows that the category of Europe can be mobilised in contradictory ways, in order to support arguments for and against citizenship rights for migrants. The paper concludes with a discussion of the ways in which constructions of Europe are implicated in processes of othering and inclusion in the context of current immigration debates
A Distributed Scheduling Algorithm in Central-Stage Buffered Multi-stage Switching Fabrics
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