Modelling of Mass Transfer Resistances in Non-uniformly Washcoated Monolith Reactors

There are various methodologies to account for mass transfer within non-uniformly distributed washcoats in monolith reactors in 1D models (axially). However, 1+1D models (axially/radially) fail to capture local variations in mass transfer from different coating thicknesses or cracks. In this paper, we present a novel way to account for local material properties in a washcoated monolith reactor. The suggested method uses an existing 1+1D modelling framework and sectionalizes the washcoat into multiple tangential segments which are solved independently. Intelligent gravimetric analysis and scanning electron microscopy are used in combination to calculate local effective diffusivity as an input for each simulation. The new model is compared to the original 1+1D model using NO light-off simulations. The new model predicted increased conversion at elevated temperatures, where mass transfer limitations are present, due to the higher porosity in the corners. The simulation time for each model was similar due to the parallelizable nature of the new model

Avoiding delayed diagnosis of significant blunt bowel and mesenteric injuries: Can a scoring tool make the difference? A 7-year retrospective cohort study.

Significant blunt bowel and mesenteric injuries (sBBMI) are frequently missed despite the widespread use of computed tomography (CT). Early treatment improves the outcome related to these injuries. The aim of this study was to assess the prevalence of sBBMI, the incidence of delayed diagnosis and to test the performance of the Bowel Injury Prediction Score (BIPS), determined by the white blood cell (WBC) count, presence or absence of abdominal tenderness and CT grade of mesenteric injury. Single-centre, registry-based retrospective cohort study, screening all consecutive trauma patients admitted to Lausanne University Hospital Trauma Centre from 2008 to 2015 after a road traffic accident. All patients with reliable information about the presence or absence of sBBMI who underwent abdominal CT and for whom calculation of the BIPS was possible were included for analysis. The incidence of delayed (>24h after admission) diagnosis in the patient group with sBBMI was determined and the diagnostic performance of the BIPS for sBBMI was assessed. For analysis, 766 patients with reliable information about the presence or absence of sBBMI were included. The prevalence of sBBMI was 3.1% (24/766). In 24% (5/21) of stable trauma patients undergoing CT, a diagnostic delay of more than 24h occurred. Abdominal tenderness (p<0.0001) and CT grade ≥4 (p<0.0001) were associated with sBBMI, whereas CT grade 4 alone (p=0.93) and WBC count ≥17G/l (p=0.30) were not. A BIPS ≥2 had a sensitivity of 89% (95% CI, 67-99), specificity of 89% (95% CI, 86-91), positive likelihood ratio of 8 (95% CI, 6.1-10), negative likelihood ratio of 0.12 (95% CI, 0.03-0.44), positive predictive value (PPV) of 19% (95% CI, 15-24) and negative predictive value (NPV) of 99.7% (95% CI, 98.7-99.9). CT alone identified 79% (15/19) and the BIPS 89% (17/19) of patients with sBBMI (p=0.66). Diagnostic delays in patients with sBBMI are common (24%), despite the routine use of abdominal CT. Application of the BIPS on the present cohort would have led to a high number of non-therapeutic abdominal explorations without identifying significantly more sBBMI early than CT alone

Association of pelvic fracture patterns, pelvic binder use and arterial angio-embolization with transfusion requirements and mortality rates; a 7-year retrospective cohort study.

Pelvic fractures are severe injuries with frequently associated multi-system trauma and a high mortality rate. The value of the pelvic fracture pattern for predicting transfusion requirements and mortality is not entirely clear. To address hemorrhage from pelvic injuries, the early application of pelvic binders is now recommended and arterial angio-embolization is widely used for controlling arterial bleeding. Our aim was to assess the association of the pelvic fracture pattern according to the Tile classification system with transfusion requirements and mortality rates, and to evaluate the correlation between the use of pelvic binders and arterial angio-embolization and the mortality of patients with pelvic fractures. Single-center retrospective cohort study including all consecutive patients with a pelvic fracture from January 2008 to June 2015. All radiological fracture patterns were independently reviewed and grouped according to the Tile classification system. Data on patient demographics, use of pelvic binders and arterial angio-embolization, transfusion requirements and mortality were extracted from the institutional trauma registry and analyzed. The present study included 228 patients. Median patient age was 43.5 years and 68.9% were male. The two independent observers identified 105 Tile C (46.1%), 71 Tile B (31.1%) and 52 Tile A (22.8%) fractures, with substantial to almost perfect interobserver agreement (Kappa 0.70-0.83). Tile C fractures were associated with a higher mortality rate (p = 0.001) and higher transfusion requirements (p < 0.0001) than Tile A or B fractures. Arterial angio-embolization for pelvic bleeding (p = 0.05) and prehospital pelvic binder placement (p = 0.5) were not associated with differences in mortality rates. Tile C pelvic fractures are associated with higher transfusion requirements and a higher mortality rate than Tile A or B fractures. No association between the use of pelvic binders or arterial angio-embolization and survival was observed in this cohort of patients with pelvic fractures

Supporting Innovation in Organic Agriculture: A European Perspective Using Experience from the SOLID Project

Organic farming is recognized as one source for innovation helping agriculture to develop sustainably. However, the understanding of innovation in agriculture is characterized by technical optimism, relying mainly on new inputs and technologies originating from research. The paper uses the alternative framework of innovation systems describing innovation as the outcome of stakeholder interaction and examples from the SOLID (Sustainable Organic Low-Input Dairying) project to discuss the role of farmers, researchers and knowledge exchange for innovation. We used a farmer-led participatory approach to identify problems of organic and low-input dairy farming in Europe and develop and evaluate innovative practices. Experience so far shows that improvements of sustainability can be made through better exploitation of knowledge. For example, it is recognized that optimal utilization of good quality forage is vitally important, but farmers showed a lack of confidence in the reliability of forage production both in quantity and quality. We conclude that the systems framework improves the understanding of innovation processes in organic agriculture. Farmer-led research is an effective way to bring together the scientific approach with the farmers’ practical and context knowledge in finding solutions to problems experienced by farmers and to develop sustainability

In the dark in a large urban park: DNA barcodes illuminate cryptic and introduced moth species

Abstract To facilitate future assessments of diversity following disturbance events, we conducted a first level inventory of nocturnal Lepidoptera in Stanley Park, Vancouver, Canada. To aid the considerable task, we employed high-throughput DNA barcoding for the rough sorting of all material and for tentative species identifications, where possible. We report the preliminary species list of 190, the detection of four new exotic species (Argyresthia pruniella, Dichelia histrionana, Paraswammerdamia lutarea, and Prays fraxinella), and the potential discovery of two cryptic species. We describe the magnitude of assistance that barcoding presents for faunal inventories, from reducing specialist time to facilitating the detection of native and exotic species at low density

Can urban coffee consumption help predict US inflation?

Motivated by the importance of coffee to Americans and the significance of the coffee subsector to the US economy, we pursue three notable innovations. First, we augment the traditional Phillips curve model with the coffee price as a predictor, and show that the resulting model outperforms the traditional variant in both in-sample and out-of-sample predictability of US inflation. Second, we demonstrate the need to account for the inherent statistical features of predictors such as persistence, endogeneity, and conditional heteroskedasticity effects when dealing with US inflation. Consequently, we offer robust illustrations to show that the choice of estimator matters for improved US inflation forecasts. Third, the proposed augmented Phillips curve also outperforms time series models such as autoregressive integrated moving average and the fractionally integrated version for both in-sample and out-of-sample forecasts. Our results show that augmenting the traditional Phillips curve with the urban coffee price will produce better forecast results for US inflation only when the statistical effects are captured in the estimation process. Our results are robust to alternative measures of inflation, different data frequencies, higher order moments, multiple data samples and multiple forecast horizons