Epidemic model on a network: analysis and applications to COVID-19

We analyze an epidemic model on a network consisting of susceptible-infected-recovered equations at the nodes coupled by diffusion using a graph Laplacian. We introduce an epidemic criterion and examine different vaccination/containment strategies: we prove that it is most effective to vaccinate a node of highest degree. The model is also useful to evaluate deconfinement scenarios and prevent a so-called second wave. The model has few parameters enabling fitting to the data and the essential ingredient of importation of infected; these features are particularly important for the current COVID-19 epidemic

Analysis of the dynamic mutation in the SCA7 gene shows marked parental effects on CAG repeat transmission.

Journal ArticleThe gene for spinocerebellar ataxia 7 (SCA7) includes a transcribed, translated CAG tract that is expanded in SCA7 patients. We have determined expansions in 73 individuals from 17 SCA7 kindreds and compared them with repeat lengths of 180 unaffected individuals. Subjects with abnormal expansions comprise 59 clinically affected individuals and 14 at-risk currently unaffected individuals predicted to carry the mutation by haplotype analysis. For expanded alleles, CAG repeat length correlates with disease progression and severity and correlates inversely with age of onset. Increased repeat lengths are seen in generational transmission of the disease allele, consistent with the pattern of clinical anticipation seen in these kindreds. Repeat lengths in expanded alleles show somatic mosaicism in leukocyte DNA, suggesting that these alleles are unstable within individuals as well as between generations. Although dynamic repeat expansions from paternal transmissions are greater than those from maternal transmissions, maternal transmission of disease is more common, suggesting germline or embryonic effects of the repeat expansion

Offspring subcutaneous adipose markers are sensitive to the timing of maternal gestational weight gain

peer-reviewedBackground Excessive maternal weight gain during pregnancy impacts on offspring health. This study focused on the timing of maternal gestational weight gain, using a porcine model with mothers of normal pre-pregnancy weight. Methods Trial design ensured the trajectory of maternal gestational weight gain differed across treatments in early, mid and late gestation. Diet composition did not differ. On day 25 gestation, sows were assigned to one of five treatments: Control sows received a standard gestation diet of 2.3 kg/day (30 MJ DE/day) from early to late gestation (day 25–110 gestation). E sows received 4.6 kg food/day in early gestation (day 25–50 gestation). M sows doubled their food intake in mid gestation (day 50–80 gestation). EM sows doubled their food intake during both early and mid gestation (day 25–80 gestation). L sows consumed 3.5 kg food/day in late gestation (day 80–110 gestation). Offspring body weight and food intake levels were measured from birth to adolescence. Markers of lipid metabolism, hypertrophy and inflammation were investigated in subcutaneous adipose tissue of adolescent offspring. Results The trajectory of gestational weight gain differed across treatments. However total gestational weight gain did not differ except for EM sows who were the heaviest and fattest mothers at parturition. Offspring birth weight did not differ across treatments. Subcutaneous adipose tissue from EM offspring differed significantly from controls, with elevated mRNA levels of lipogenic (CD36, ACACB and LPL), nutrient transporters (FABP4 and GLUT4), lipolysis (HSL and ATGL), adipocyte size (MEST) and inflammation (PAI-1) indicators. The subcutaneous adipose depot from L offspring exhibited elevated levels of CD36, ACACB, LPL, GLUT4 and FABP4 mRNA transcripts compared to control offspring. Conclusions Increasing gestational weight gain in early gestation had the greatest impact on offspring postnatal growth rate. Increasing maternal food allowance in late gestation appeared to shift the offspring adipocyte focus towards accumulation of fat. Mothers who gained the most weight during gestation (EM mothers) gave birth to offspring whose subcutaneous adipose tissue, at adolescence, appeared hyperactive compared to controls. This study concluded that mothers, who gained more than the recommended weight gain in mid and late gestation, put their offspring adipose tissue at risk of dysfunction.This research was funded by Teagasc, under the National Development Plan. LBMcN was in receipt of a Teagasc Walsh Fellowship. Nestle hosted LG on a sabbatical and funded the RT-PCR cost

Efficient leaching of cellulases produced by Trichoderma harzianum in solid state fermentation

Recovery of cellulases from solid state culture of #Trichoderma harzianum$ was efficiently achieved by hydraulic pressing. Pressing of fermented solids yielded carboxymethyl-cellulase (CMCase) extraction efficiency of 71% and a ratio of leachate to fermented solids of 0.58 (v/w). Addition of water to pressed solids and second pressing improved the efficiency (95%) with simultaneous increase in the ratio to 1.16 (v/w). The overall extraction of filter paper activity was lower (85%) than that of CMCase. This technique is simple and its extraction efficiency is similar to that obtained in multiple-contact counter-current systems. The hydraulic press in its individuality was not used earlier to leach the product from fermented solids. (Résumé d'auteur

Explaining the environmentally sustainable consumer behavior: a social capital perspective

Purpose - The purpose of this study is to examine the effects of social capital within a community on the adoption of consumer eco-behaviour or environmentally sustainable behaviour of consumers. The authors draw on the behavioural perspective model (BPM) of consumer behaviour and social capital theory in arguing that social capital shapes a consumer\u27s knowledge of environmental issues and pro-environmental attitudes, which in turn influence a consumer\u27s perceived capability to engage in eco-behaviour. Design/methodology/approach - This study uses partial least squares approach to structural equation modelling of survey data involving 1,044 consumers in the Philippines. It involves testing of a measurement model to examine the validity and reliability of the constructs used in the study. This is followed by testing of the structural models to test the hypothesised relationships of the constructs. Findings - The results suggest the substantive influence of social capital on environmental knowledge, pro-environmental attitudes and eco-capability. Both knowledge and attitudes have positive effects on eco-capability, which in turn positively shapes eco-behaviour. Research limitations/implications - Future studies can examine how social capital as a multi-dimensional construct impacts context-specific consumer behaviour. Practical implications - Social and environmental marketing may focus on social network activation to encourage eco-behaviours of consumers. Social implications - Findings highlight the role of social capital within one\u27s community as a resource channel to encourage environmentally responsible consumer behaviour. Originality/value - The study extends the BPM by offering a social capital view as a more nuanced explanation of consumer eco-behaviour

Dynamic model of a non-linear servo control system using transmission line modelling technique

The modelling and simulation of a test rig based on the transmission line modelling technique is presented in this paper. The studied test rig is a non-linear servo control system and represents a CNC machine tool feed drive where the controller commands the movement of worktable linked to a motor through a ball-screw. The transmission line modelling technique has been successfully applied until now for hydraulic systems, electromagnetic, acoustics and several mechanical applications (not much emphasis on digital controllers). The paper presents a novel application of this method for modelling the interaction between the position loop controller, servo system and the worktable mechanism. It addresses the modelling of the non-linearities (Coulomb and viscous friction, backlash) and axial and torsional forces applied on the ball-screw nut during its linear movement. The simulation results generated by the MATLAB program compare well with the measured data when same stimuli are applied to the test rig. So this numerical method is successfully applied for accurate modelling of non-linear and dynamic behaviour of CNC machine tools feed drives