3D FEA modelling of laminated composites in bending and their failure mechanisms

keywords: 3D keywords: 3D keywords: 3D keywords: 3D keywords: 3DAbstract This paper developed three-dimensional (3D) Finite Element Analysis (FEA) to investigate the effect of fibre lay-up on the initiation of failure of laminated composites in bending. Tsai-Hill failure criterion was applied to identify the critical areas of failure in composite laminates. In accordance with the 3D FEA, unidirectional ([0]16), cross-ply ([0/90]4s) and angle-ply ([±45]4s) laminates made up of pre-preg Carbon Fibre Reinforced Plastics (CFRP) composites were manufactured and tested under three-point bending. The basic principles of Classical Laminate Theory (CLT) were extended to three-dimension, and the analytical solution was critically compared with the FEA results. The 3D FEA results revealed significant transverse normal stresses in the cross-ply laminate and in-plane shear stress in the angle-ply laminate near free edge regions which are overlooked by conventional laminate model. The microscopic images showed that these free edge effects were the main reason for stiffness reduction observed in the bending tests. The study illustrated the significant effects of fibre lay-up on the flexural failure mechanisms in composite laminates which lead to some suggestions to improve the design of composite laminates

Radiologists' Attitudes and Use of Mammography Audit Reports

The U.S. Mammography Quality Standards Act (MQSA) mandates medical audits to track breast cancer outcomes data associated with interpretive performance. The objectives of our study were to assess the content and style of audits and examine use of, attitudes toward, and perceptions of the value that radiologists' have regarding mandated medical audits

Energy loss due to defect formation from 206Pb recoils in SuperCDMS germanium detectors

The Super Cryogenic Dark Matter Search experiment at the Soudan Underground Laboratory studied energy loss associated with defect formation in germanium crystals at mK temperatures using in situ 210Pb sources. We examine the spectrum of 206Pb nuclear recoils near its expected 103 keV endpoint energy and determine an energy loss of (6:08 ± 0:18)%, which we attribute to defect formation. From this result and using TRIM simulations, we extract the first experimentally determined average displacement threshold energy of 19.7+0.6−0.5 eV for germanium. This has implications for the analysis thresholds of future germanium-based dark matter searches

'Duck to water' or 'fish out of water'? Diversity in the experience of negotiating the transition to university

Winstone and Hulme present a critical discussion of the notion of transition to university. They argue that the common emphasis on the challenging nature of the transition fails to acknowledge the diversity in students’ experiences; for some students, the liminality and discomfort experienced during this critical period in their educational journey can be a transformational and empowering rite of passage. Rather than homogenising students’ experiences, Winstone and Hulme argue that it is beneficial to explore the transition experience through the lens of students’ expectations and subsequent experiences and to view the transition to university as part of a trajectory of transition experience within a student’s educational journey. The chapter also presents practical suggestions for engaging multiple student voices in understanding and facilitating positive transition experiences

What agricultural practices are most likely to deliver ‘sustainable intensification’ in the UK?

Sustainable intensification is a process by which agricultural productivity is enhanced whilst also creating environmental and social benefits. We aimed to identify practices likely to deliver sustainable intensification, currently available for UK farms but not yet widely adopted. We compiled a list of 18 farm management practices with the greatest potential to deliver sustainable intensification in the UK, following a well-developed stepwise methodology for identifying priority solutions, using a group decision-making technique with key agricultural experts. The list of priority management practices can provide the focal point of efforts to achieve sustainable intensification of agriculture, as the UK develops post-Brexit agricultural policy, and pursues the second Sustainable Development Goal, which aims to end hunger and promote sustainable agriculture. The practices largely reflect a technological, production-focused view of sustainable intensification, including for example, precision farming and animal health diagnostics, with less emphasis on the social and environmental aspects of sustainability. However, they do reflect an integrated approach to farming, covering many different aspects, from business organization and planning, to soil and crop management, to landscape and nature conservation. For a subset of ten of the priority practices, we gathered data on the level of existing uptake in English and Welsh farms through a stratified survey in seven focal regions. We find substantial existing uptake of most of the priority practices, indicating that UK farming is an innovative sector. The data identify two specific practices for which uptake is relatively low, but which some UK farmers find appealing and would consider adopting. These practices are: prediction of pest and disease outbreaks, especially for livestock farms; staff training on environmental issues, especially on arable farms

Measurement of the νe and total 8B solar neutrino fluxes with the Sudbury Neutrino Observatory phase-III data set

This paper details the solar neutrino analysis of the 385.17-day phase-III data set acquired by the Sudbury Neutrino Observatory (SNO). An array of 3He proportional counters was installed in the heavy-water target to measure precisely the rate of neutrino-deuteron neutral-current interactions. This technique to determine the total active 8B solar neutrino flux was largely independent of the methods employed in previous phases. The total flux of active neutrinos was measured to be 5.54-0.31+0.33(stat.)-0.34+0.36(syst.)×106 cm-2 s-1, consistent with previous measurements and standard solar models. A global analysis of solar and reactor neutrino mixing parameters yielded the best-fit values of Δm2=7.59-0.21+0.19×10 -5eV2 and θ=34.4-1.2+1.3degrees

Whole-genome sequencing reveals host factors underlying critical COVID-19

Critical COVID-19 is caused by immune-mediated inflammatory lung injury. Host genetic variation influences the development of illness requiring critical care1 or hospitalization2,3,4 after infection with SARS-CoV-2. The GenOMICC (Genetics of Mortality in Critical Care) study enables the comparison of genomes from individuals who are critically ill with those of population controls to find underlying disease mechanisms. Here we use whole-genome sequencing in 7,491 critically ill individuals compared with 48,400 controls to discover and replicate 23 independent variants that significantly predispose to critical COVID-19. We identify 16 new independent associations, including variants within genes that are involved in interferon signalling (IL10RB and PLSCR1), leucocyte differentiation (BCL11A) and blood-type antigen secretor status (FUT2). Using transcriptome-wide association and colocalization to infer the effect of gene expression on disease severity, we find evidence that implicates multiple genes—including reduced expression of a membrane flippase (ATP11A), and increased expression of a mucin (MUC1)—in critical disease. Mendelian randomization provides evidence in support of causal roles for myeloid cell adhesion molecules (SELE, ICAM5 and CD209) and the coagulation factor F8, all of which are potentially druggable targets. Our results are broadly consistent with a multi-component model of COVID-19 pathophysiology, in which at least two distinct mechanisms can predispose to life-threatening disease: failure to control viral replication; or an enhanced tendency towards pulmonary inflammation and intravascular coagulation. We show that comparison between cases of critical illness and population controls is highly efficient for the detection of therapeutically relevant mechanisms of disease

The importance of electrostatic interactions in the binding of paraquat to its elicited monoclonal antibody

In this study the pH-dependent interactions interactions between a paraquat-specific murine monoclonal antibody and two antigens: paraquat (1,1'-dimethyl-4,4'-bipyridinium dichloride), and a p-nitrophenol analogue (1-(N-methyl-4,4'-bipyridinium)-1-(2-hydroxy-5-nitrophenyl)methane dichloride; PQNP) were determined by ELISA. In each case the KAS-pH profile reflected the titration of a single amino acid residue. pK'a values derived from these plots were 8.90 (paraquat) and 8.13 (PQNP). Increasing pH led to a significant increase in the association constant for each antibody complex. A spectrophotometric titration of PQNP in the presence and absence of excess antibody indicated the presence of another charged amino acid residue at the binding site, which could be assigned as a carboxylic acid. From these studies, a model for paraquat-antibody binding has been proposed

Purification and characterization of two human liver carboxylesterases

1. 1. Two carboxylesterases (EC 3.1.1.1) purified from human livers were distinguished by pi (isoelectric point), nondenaturing polyacrylamide gel electrophoresis, molecular weight, catalytic activity, N-tenninus and immunological cross-reactivity. 2. 2. The low pI carboxylesterase has not been reported previously. 3. 3. Numerous bands seen when each enzyme was focused on analytical IEF gels could not be separated. 4. 4. When sections of the band pattern was refocused, the original complete band pattern was generated. 5. 5. Both the mid and low pI carboxylesterases had catalytic activity for xenobiotics as well as medium and long chain fatty acid esters