471 research outputs found

    Global trade statistics lack granularity to inform traceability and management of diverse and high-value fishes

    Get PDF
    Illegal, unreported and unregulated (IUU) fishing and seafood supply chain fraud are multifaceted problems that demand multifaceted solutions. Here, we investigate the extent to which global fisheries trade data analyses can support effective seafood traceability and promote sustainable seafood markets using one of the world’s most highly prized, yet misunderstood, groups of fishes as a model: the snappers, family Lutjanidae. By collating and comparing production, import and export data from international and national statistical collections for the period 2006–2013, we show that official trade data severely lack the level of detail required to track snapper trade flows, uncover potential IUU activities and/or inform exploitation management of snappers and related species. Moreover, we contend that the lack of taxonomic granularity and use of vague generic names in trade records represent one of the most insidious impediments to seafood traceability, and suggest that widely used harmonised commodity classification systems should evolve to address these gaps

    Mislabeling seafood does not promote sustainability : a comment on Stawitz et al (2016)

    Get PDF
    Recently, Stawitz et al. collated existing primary literature on DNA identification of finfish products and conducted a series of analyses to explore the environmental and economic ripples of species substitution. While we agree that the assessment of the impacts of seafood mislabeling is paramount, we show that the main conclusion of the study, which hints at a positive ecological impact arising from misnaming traded finfish species, is not warranted by the data, and may inadvertently cause damage to public perceptions of seafood provision, sustainability, and marine resource management

    The importance of model plane location and movement in dense discharge assessment

    Get PDF
    As dense plumes in the sea tend to form relatively thin layers at the seabed, flexible model vertical structure is needed to provide optimal resolution of plumes without requiring excessive computational resources. An Automatic Mesh Redistribution (AMR) method, based on a generalisation of the traditional sigma mesh, is presented, and demonstrated in application to the simulation of dense plume dispersion in the sea. The results of preliminary simulations for schematic and more realistic test cases are encouraging. It is demonstrated that the AMR method can adapt to relatively thin dense plumes, without the iterative refinement of plane locations that would be required to achieve similar results with some form of sigma mesh. The main details of plumes simulated with the AMR method are shown to be very similar to those obtained with a traditional sigma mesh after such a refinement process. The preliminary results presented here are to be investigated further, and will form the basis of an enhanced set of test cases. To date, only the clustering of model planes around steep vertical gradients in the concentration of a single tracer has been considered. However, the technique can be extended to multiple tracers, velocity shear, and/or other physical or derived quantities. Comprehensive data sets defining dense plume thicknesses in the field have not been available until relatively recently. It is planned to further test the AMR method in the light of a new data set in the near future

    Adaptive vertical layering in TELEMAC-3D

    Get PDF
    Many processes in environmental hydraulics exhibit sharp spatial gradients of some physical variable(s) in a small localised part of the overall water column. Examples of this include spreading of dense or buoyant plumes and thermal or saline stratification in reservoirs. In this paper, we demonstrate a robust adaptive mesh redistribution (AMR) method coded for TELEMAC-3D. The AMR method aims to capture these sharp gradients without requiring an excessive number of mesh layers or any prior knowledge of the flow structure. Rather than increasing the number of mesh planes in regions of sharp spatial gradients, the idea of mesh redistribution is to maintain a fixed number of planes that move in response to the local solution structure. The movement of the planes is governed by a diffusion equation; an approach that is discussed in Ref. [1]. This approach is similar to that used in the popular GETM software (Ref. [2]). Mesh plane elevations linked to gradients in tracer concentration only are discussed in this paper, although the extension to include velocity shear and/or bathymetry in the equations governing plane placement is expected to be straightforward. We present preliminary results demonstrating that the AMR method can adapt to relatively thin tracer plumes without the increased mesh resolution that would be required with some form of sigma mesh. Comparisons are drawn with an alternative approach in which plane elevations are specified by the user based on some a priori knowledge of the flow structure. The AMR method, which requires neither prior information about the flow nor user input, can be seen to give very similar results for the spreading of dense and buoyant plumes

    Mapping genomic and transcriptomic alterations spatially in epithelial cells adjacent to human breast carcinoma.

    Get PDF
    Almost all genomic studies of breast cancer have focused on well-established tumours because it is technically challenging to study the earliest mutational events occurring in human breast epithelial cells. To address this we created a unique dataset of epithelial samples ductoscopically obtained from ducts leading to breast carcinomas and matched samples from ducts on the opposite side of the nipple. Here, we demonstrate that perturbations in mRNA abundance, with increasing proximity to tumour, cannot be explained by copy number aberrations. Rather, we find a possibility of field cancerization surrounding the primary tumour by constructing a classifier that evaluates where epithelial samples were obtained relative to a tumour (cross-validated micro-averaged AUC = 0.74). We implement a spectral co-clustering algorithm to define biclusters. Relating to over-represented bicluster pathways, we further validate two genes with tissue microarrays and in vitro experiments. We highlight evidence suggesting that bicluster perturbation occurs early in tumour development

    The largest multicentre data collection on prepectoral breast reconstruction: The iBAG study

    Get PDF
    Background and Objectives: In the last years, prepectoral breast reconstruction has increased its popularity, becoming a standard reconstructive technique by preserving pectoralis major anatomy and functionality. Nevertheless, the lack of solid and extensive data negatively impacts on surgeons\u2019 correct information about postoperative complication rates and proper patient selection. This study aims to collect the largest evidence on this procedure. Methods: A multicentre retrospective audit, promoted by the Barcelona Hospital, collected the experience of 30 centers on prepectoral breast reconstruction with Braxon ADM. The study had the scientific support of INPECS and IIB societies which provided the online database Clinapsis. Results: A total of 1450 procedures were retrospectively collected in a 6-year period. Mean age 52.4 years, BMI 23.9, follow-up 22.7 months. Reconstruction was carried out after a tumor in 77.1% of the cases, 20.1% had prophylactic surgery, 2.8% had revisions. Diabetes, smoke, and immunosuppression had an influence on complications occurrence, as well as implant weight. Capsular contracture was associated with postoperative radiotherapy, but the overall rate was low (2.1%). Complications led to implant loss in 6.5% of the cases. Conclusions: The international Braxon Audit Group multicentre data collection represents a milestone in the field of breast reconstruction, extensively improving the knowledge of this procedure

    Bone marrow adipose tissue is a unique adipose subtype with distinct roles in glucose homeostasis

    Get PDF
    Bone marrow adipose tissue (BMAT) comprises >10% of total adipose mass, yet unlike white or brown adipose tissues (WAT or BAT) its metabolic functions remain unclear. Herein, we address this critical gap in knowledge. Our transcriptomic analyses revealed that BMAT is distinct from WAT and BAT, with altered glucose metabolism and decreased insulin responsiveness. We therefore tested these functions in mice and humans using positron emission tomography-computed tomography (PET/CT) with 18F-fluorodeoxyglucose. This revealed that BMAT resists insulin- and cold-stimulated glucose uptake, while further in vivo studies showed that, compared to WAT, BMAT resists insulin-stimulated Akt phosphorylation. Thus, BMAT is functionally distinct from WAT and BAT. However, in humans basal glucose uptake in BMAT is greater than in axial bones or subcutaneous WAT and can be greater than that in skeletal muscle, underscoring the potential of BMAT to influence systemic glucose homeostasis. These PET/CT studies characterise BMAT function in vivo, establish new methods for BMAT analysis, and identify BMAT as a distinct, major adipose tissue subtype

    Effectiveness of preoperative staging in rectal cancer: digital rectal examination, endoluminal ultrasound or magnetic resonance imaging?

    Get PDF
    In rectal cancer, preoperative staging should identify early tumours suitable for treatment by surgery alone and locally advanced tumours that require therapy to induce tumour regression from the potential resection margin. Currently, local staging can be performed by digital rectal examination (DRE), endoluminal ultrasound (EUS) or magnetic resonance imaging (MRI). Each staging method was compared for clinical benefit and cost-effectiveness. The accuracy of high-resolution MRI, DRE and EUS in identifying favourable, unfavourable and locally advanced rectal carcinomas in 98 patients undergoing total mesorectal excision was compared prospectively against the resection specimen pathological as the gold standard. Agreement between each staging modality with pathology assessment of tumour favourability was calculated with the chance-corrected agreement given as the kappa statistic, based on marginal homogenised data. Differences in effectiveness of the staging modalities were compared with differences in costs of the staging modalities to generate cost effectiveness ratios. Agreement between staging and histologic assessment of tumour favourability was 94% for MRI (kappa=0.81, s.e.=0.05; kappa(W)=0.83), compared with very poor agreements of 65% for DRE (kappa=0.08, s.e.=0.068, kappa(W)=0.16) and 69% for EUS (kappa=0.17, s.e.=0.065, kappa(W)=0.17). The resource benefits resulting from the use of MRI rather than DRE was 67164 UK pounds and 92244 UK pounds when MRI was used rather than EUS. Magnetic resonance imaging dominated both DRE and EUS on cost and clinical effectiveness by selecting appropriate patients for neoadjuvant therapy and justifies its use for local staging of rectal cancer patients
    • …
    corecore