Transitions to Agroecological Systems: Farmers’ Experience

The term agroecology is used mainly to describe an approach “emphasising ecological principles and practices in the design and management of agroecosystems, one that integrates the long-term protection of natural resources as an element of food, fuel and fibre production” (Lampkin et al., 2015, P9). Agroecological approaches in farming can make a major contribution to the sustainable intensification of agriculture in the UK but there is no specific policy framework for ‘agroecology’ in the UK. Building on a previous builds on the LUPG report by Lampkin et al. (2015) on the contribution of agroecology to sustainable intensification the report present a short background section, the approach, results and conclusion

Validation of automated artificial intelligence segmentation of optical coherence tomography images

PURPOSE To benchmark the human and machine performance of spectral-domain (SD) and swept-source (SS) optical coherence tomography (OCT) image segmentation, i.e., pixel-wise classification, for the compartments vitreous, retina, choroid, sclera. METHODS A convolutional neural network (CNN) was trained on OCT B-scan images annotated by a senior ground truth expert retina specialist to segment the posterior eye compartments. Independent benchmark data sets (30 SDOCT and 30 SSOCT) were manually segmented by three classes of graders with varying levels of ophthalmic proficiencies. Nine graders contributed to benchmark an additional 60 images in three consecutive runs. Inter-human and intra-human class agreement was measured and compared to the CNN results. RESULTS The CNN training data consisted of a total of 6210 manually segmented images derived from 2070 B-scans (1046 SDOCT and 1024 SSOCT; 630 C-Scans). The CNN segmentation revealed a high agreement with all grader groups. For all compartments and groups, the mean Intersection over Union (IOU) score of CNN compartmentalization versus group graders' compartmentalization was higher than the mean score for intra-grader group comparison. CONCLUSION The proposed deep learning segmentation algorithm (CNN) for automated eye compartment segmentation in OCT B-scans (SDOCT and SSOCT) is on par with manual segmentations by human graders

Unraveling the deep learning gearbox in optical coherence tomography image segmentation towards explainable artificial intelligence

Machine learning has greatly facilitated the analysis of medical data, while the internal operations usually remain intransparent. To better comprehend these opaque procedures, a convolutional neural network for optical coherence tomography image segmentation was enhanced with a Traceable Relevance Explainability (T-REX) technique. The proposed application was based on three components: ground truth generation by multiple graders, calculation of Hamming distances among graders and the machine learning algorithm, as well as a smart data visualization ('neural recording'). An overall average variability of 1.75% between the human graders and the algorithm was found, slightly minor to 2.02% among human graders. The ambiguity in ground truth had noteworthy impact on machine learning results, which could be visualized. The convolutional neural network balanced between graders and allowed for modifiable predictions dependent on the compartment. Using the proposed T-REX setup, machine learning processes could be rendered more transparent and understandable, possibly leading to optimized applications

Impaired working speed and executive functions as frontal lobe dysfunctions in young first-degree relatives of schizophrenic patients

The aim of the investigation was to detect neuropsychological markers, such as sustained and selective attention and executive functions, which contribute to the vulnerability to schizophrenia especially in young persons. Performance was assessed in 32 siblings and children of schizophrenic patients and 32 matched controls using Wisconsin Card Sorting Test, Colour-Word-Interference-Test, Trail Making Test, and d2-Concentration-Test. The first-degree relatives showed certain impairments on all four tests, in particular, slower times on all time-limited tests. These results suggest the need for more time when completing neuropsychological tasks involving selected and focused attention, as well as cognitive flexibility, as a possible indicator of genetic vulnerability to schizophrenia

Whole Brain Size and General Mental Ability: A Review

We review the literature on the relation between whole brain size and general mental ability (GMA) both within and between species. Among humans, in 28 samples using brain imaging techniques, the mean brain size/GMA correlation is 0.40 (N = 1,389; p < 10−10); in 59 samples using external head size measures it is 0.20 (N = 63,405; p < 10−10). In 6 samples using the method of correlated vectors to distill g, the general factor of mental ability, the mean r is 0.63. We also describe the brain size/GMA correlations with age, socioeconomic position, sex, and ancestral population groups, which also provide information about brain–behavior relationships. Finally, we examine brain size and mental ability from an evolutionary and behavior genetic perspective

A novel approach of homozygous haplotype sharing identifies candidate genes in autism spectrum disorder

Autism spectrum disorder (ASD) is a highly heritable disorder of complex and heterogeneous aetiology. It is primarily characterized by altered cognitive ability including impaired language and communication skills and fundamental deficits in social reciprocity. Despite some notable successes in neuropsychiatric genetics, overall, the high heritability of ASD (~90%) remains poorly explained by common genetic risk variants. However, recent studies suggest that rare genomic variation, in particular copy number variation, may account for a significant proportion of the genetic basis of ASD. We present a large scale analysis to identify candidate genes which may contain low-frequency recessive variation contributing to ASD while taking into account the potential contribution of population differences to the genetic heterogeneity of ASD. Our strategy, homozygous haplotype (HH) mapping, aims to detect homozygous segments of identical haplotype structure that are shared at a higher frequency amongst ASD patients compared to parental controls. The analysis was performed on 1,402 Autism Genome Project trios genotyped for 1 million single nucleotide polymorphisms (SNPs). We identified 25 known and 1,218 novel ASD candidate genes in the discovery analysis including CADM2, ABHD14A, CHRFAM7A, GRIK2, GRM3, EPHA3, FGF10, KCND2, PDZK1, IMMP2L and FOXP2. Furthermore, 10 of the previously reported ASD genes and 300 of the novel candidates identified in the discovery analysis were replicated in an independent sample of 1,182 trios. Our results demonstrate that regions of HH are significantly enriched for previously reported ASD candidate genes and the observed association is independent of gene size (odds ratio 2.10). Our findings highlight the applicability of HH mapping in complex disorders such as ASD and offer an alternative approach to the analysis of genome-wide association data

Diversity, preventive work and education : matters of health and well-being in firefighter discourse

Purpose: The aim of this study is to analyse how recurrent health hindrance themes in the firefighter discourse, identified by firefighters themselves, relate to a set of policies about diversity, preventive work and education of firefighters. The intention is further to discuss the implications of these policy initiatives and the resistance against them in terms of firefighters’ health and well-being at work. Method: Firefighters from three different rescue stations in Sweden, participated in either a focus group discussion or individual interviews. Different themes in firefighter discourse that were described as hindrances to the health and well-being of firefighters were identified. A strategic sample of policy documents that relate to the very same themes was also chosen for analysis and here we combined critical discourse analysis (CDA) with critical policy analysis. Results: The health hindrance themes regarding diversity, preventive work and education that firefighters identified have in common that they relate to changes in work culture and the firefighter profession. Conclusion: In conclusion, we argue that the most important challenge for the rescue service to tackle in the future, is how to transform firefighting to be more inclusive and yet maintaining the good health and well-being that exists among the vast majority of today’s firefighters.Originally included in thesis in manuscript form.</p

Transitions to Agroecological Systems: Farmers’ Viewpoints

We report a social science study of farmers’ experience of transition towards agroecological approaches in the UK with the aims to (i) identify motivations, challenges and opportunities encountered, together with the perceived benefits and disadvantages associated with the transition and (ii) gain an understanding of individuals’ trajectories in context, including social, economic, biophysical, cultural and psychological dimensions. Fourteen farmers in England, Scotland and Wales that had undergone an agroecological transition were interviewed in early 2017 using a semi-structured interview case study approach. Answers were analysed, considering mainly two theoretical models of farmers’ decision-making. Key triggers were farmers newly taking over a business or feeling inspired by meeting agroecological farmers. Farmers’ biggest challenges included issues related to people, technical issues, financial and organic regulations. State support measures were often mis-matched to the farmer’s approach which deterred some farmers from submitting applications

Promoting and Hindering Health and Well-Being in Firefighter Discourse

The aim of this critical discourse analysis is to identify and discuss dominant and recurrent themes in firefighter discourse that promote and hinder firefighters' health and well-being. Using critical discourse analysis, the focus is directed toward routine work culture at the station, as well as how firefighters deal with extraordinary events. The empirical material was collected from rescue services in Sweden representing different geographical areas. In total, 28 firefighters participated in focus group discussions or individual interviews. We identified dominant themes in the discourse that promoted firefighters' health and well-being. We also identified recurrent themes that may serve as hindrances to health and well-being. We note that themes in the latter category also relate to changes in the profession and work culture, expressing external pressures on the rescue service. One reason for resistance toward change might be the health benefits that the current order of firefighter discourse brings