A learning journey into contemporary bioregionalism

1. Bioregioning is a new wave of bioregional discourse that appears to be attracting interest among sustainability researchers and practitioners. 2. Through interviews with contemporary leaders and a reflexive research process, we explored bioregioning experiences across seven countries. Our paper outlines the motivations, practices and narratives that we encountered and positions these observations against prior expressions of bioregional thought and broader themes in sustainability research. 3. We found that in bioregioning, the concept of a bioregion remains important and seems to attract people to the discourse in three ways: It inspires visions of the future that encompass more-than-human thriving, it creates a conceptual container that enables a strategic narrative for change that connects places to larger scales, and it justifies the importance of everyday people exercising their right to ‘do’ something. 4. The combination of these motivators shows bioregioning's relationship with earlier expressions of bioregional thought: Like early bioregional thinkers, regional scales carry cognitive and strategic appeal, and like critical bioregionalism, power and justice are foregrounded to ensure the process of change is ethical. We suggest that in the shift to bioregioning, the bioregion serves as a boundary device, justifying (for some) a focus on regional scale action which has made bioregional discourse unique, and for others, rationalising participatory or emotional priorities. This lets bioregioning enact a dialogic approach to change and enables practitioners to consider questions of scale in open dialogue with emotive place-based dynamics, bringing nature re-connection and social–ecological systems research into consideration and overlap with the practice of bioregioning. 5. We observed parallels between our research process and the central features in bioregioning; both respond to ambitions and calls within sustainability to enact relational values and surface contextualised knowledge while also valuing generalisations and abstraction. Our study, we suggest, provides one example of how research into human–nature relationships in Western sustainability might be pursued in line with these ambitions

Where are you at? Re‐engaging bioregional ideas and what they offer geography

Bioregionalism was popularised in the 1970s back to the land movement. It is distinguished from other forms of environmentalism through the spatial imaginary of a bioregion as the scale for environmental action and regenerative living. Bioregional thought has been widely critiqued by geographers for its potentially deterministic understanding of the relationship between place and culture. This paper argues that bioregionalism is less of a homogenous movement and more of a discursive forum that houses a spectrum of perspectives. We identify three key tendencies within bioregional thought, an ontological tendency, a critical tendency and a processual tendency. Each tendency is rooted in different spatial imaginaries, and generates different axiologies and strategies of change. We argue that contemporary processual tendencies in bioregional thought are productive for geographers considering questions of (1) materiality, agency and place, (2) politics, ethics and place, and (3) acting in place for urgent and ethical change

Preserved rapid conceptual processing of emotional expressions despite reduced neuropsychological performance following traumatic brain injury

Objective: Emotional empathy is critical to successful social interactions and is often compromised after traumatic brain injury (TBI). Using the Emostroop task, we investigated whether adults with moderate to severe TBI (N = 26) have problems with rapid conceptual processing of emotional stimuli compared with controls (N = 30). Further, we investigated whether rapid conceptual processing of emotions relates to emotion recognition and emotional empathy. Method: In the Emostroop task, participants categorize emotional words (e.g., joyous, furious, and woeful) into three emotion categories: happy, sad, and angry. Each word is superimposed onto an image of a face, which expresses an emotion that is congruent to the word (congruent condition), incongruent to the word (incongruent condition), or is neutral (neutral condition). Slowed responding in the incongruent condition (interference) and speeded responding in the congruent condition (facilitation) indicates rapid conceptual processing of the faces. Participants also completed an emotion perception task, an empathy questionnaire (the BEES) and neuropsychological tests measuring processing speed, working memory, and executive function. Results: Contrary to our hypotheses, we found that rapid conceptual processing of emotional faces was preserved in people with TBI, despite diminished neuropsychological performance, emotion recognition, emotional empathy, and slowed responding. Further, the Emostroop effect was not correlated with self-reported emotional empathy or with emotion recognition. Conclusions: We conclude that in people with TBI, reduced empathy may be explained by processes downstream of the initial rapid conceptual processing of emotional information, such as flexibly attending and responding to this information in a goal-directed manner in complex environments

A systematic review of strategies to recruit and retain primary care doctors

Background There is a workforce crisis in primary care. Previous research has looked at the reasons underlying recruitment and retention problems, but little research has looked at what works to improve recruitment and retention. The aim of this systematic review is to evaluate interventions and strategies used to recruit and retain primary care doctors internationally. Methods A systematic review was undertaken. MEDLINE, EMBASE, CENTRAL and grey literature were searched from inception to January 2015.Articles assessing interventions aimed at recruiting or retaining doctors in high income countries, applicable to primary care doctors were included. No restrictions on language or year of publication. The first author screened all titles and abstracts and a second author screened 20%. Data extraction was carried out by one author and checked by a second. Meta-analysis was not possible due to heterogeneity. Results 51 studies assessing 42 interventions were retrieved. Interventions were categorised into thirteen groups: financial incentives (n=11), recruiting rural students (n=6), international recruitment (n=4), rural or primary care focused undergraduate placements (n=3), rural or underserved postgraduate training (n=3), well-being or peer support initiatives (n=3), marketing (n=2), mixed interventions (n=5), support for professional development or research (n=5), retainer schemes (n=4), re-entry schemes (n=1), specialised recruiters or case managers (n=2) and delayed partnerships (n=2). Studies were of low methodological quality with no RCTs and only 15 studies with a comparison group. Weak evidence supported the use of postgraduate placements in underserved areas, undergraduate rural placements and recruiting students to medical school from rural areas. There was mixed evidence about financial incentives. A marketing campaign was associated with lower recruitment. Conclusions This is the first systematic review of interventions to improve recruitment and retention of primary care doctors. Although the evidence base for recruiting and care doctors is weak and more high quality research is needed, this review found evidence to support undergraduate and postgraduate placements in underserved areas, and selective recruitment of medical students. Other initiatives covered may have potential to improve recruitment and retention of primary care practitioners, but their effectiveness has not been established

Image informatics strategies for deciphering neuronal network connectivity

Brain function relies on an intricate network of highly dynamic neuronal connections that rewires dramatically under the impulse of various external cues and pathological conditions. Among the neuronal structures that show morphologi- cal plasticity are neurites, synapses, dendritic spines and even nuclei. This structural remodelling is directly connected with functional changes such as intercellular com- munication and the associated calcium-bursting behaviour. In vitro cultured neu- ronal networks are valuable models for studying these morpho-functional changes. Owing to the automation and standardisation of both image acquisition and image analysis, it has become possible to extract statistically relevant readout from such networks. Here, we focus on the current state-of-the-art in image informatics that enables quantitative microscopic interrogation of neuronal networks. We describe the major correlates of neuronal connectivity and present workflows for analysing them. Finally, we provide an outlook on the challenges that remain to be addressed, and discuss how imaging algorithms can be extended beyond in vitro imaging studies

Automated Three-Dimensional Detection and Shape Classification of Dendritic Spines from Fluorescence Microscopy Images

A fundamental challenge in understanding how dendritic spine morphology controls learning and memory has been quantifying three-dimensional (3D) spine shapes with sufficient precision to distinguish morphologic types, and sufficient throughput for robust statistical analysis. The necessity to analyze large volumetric data sets accurately, efficiently, and in true 3D has been a major bottleneck in deriving reliable relationships between altered neuronal function and changes in spine morphology. We introduce a novel system for automated detection, shape analysis and classification of dendritic spines from laser scanning microscopy (LSM) images that directly addresses these limitations. The system is more accurate, and at least an order of magnitude faster, than existing technologies. By operating fully in 3D the algorithm resolves spines that are undetectable with standard two-dimensional (2D) tools. Adaptive local thresholding, voxel clustering and Rayburst Sampling generate a profile of diameter estimates used to classify spines into morphologic types, while minimizing optical smear and quantization artifacts. The technique opens new horizons on the objective evaluation of spine changes with synaptic plasticity, normal development and aging, and with neurodegenerative disorders that impair cognitive function

Diagnostic performance of glomerular PLA2R and THSD7A antibodies in biopsy confirmed primary membranous nephropathy in South Africans

Background: Serum and tissue-based tests using phospholipase A2 receptor 1 (PLA2R) and thrombospondin type-1 domain containing 7A (THSD7A) are established immune biomarkers for the diagnosis of primary membranous nephropathy (PMN). This study assessed the diagnostic performance of these biomarkers in the diagnosis of PMN in South Africans. Methods This was a cross-sectional analysis from a single centre in Cape Town, South Africa. Relevant biodata was collected from all patients. Histology, including slides for PLA2R and THSD7A were processed and assessed by typical microscopic and immunohistochemical features. Biopsy tissues of patients with membranous lupus nephritis (LN-V) and diabetic nephropathy (DN) were used as controls. The diagnostic accuracy for diagnosis of PMN using positive PLA2R and THSD7A were evaluated. Results Of the 88 patients included, 41 had PMN with a mean age of 44.5 ± 17.5 years and 61.0% were female. Histologically, PLA2R and THSD7A were only positive in the PMN group (51.2% and 4.9%, respectively) but negative in both control groups. The sensitivity of PLA2R and THSD7A for identifying PMN was 51.2% and 4.9%, respectively. The sensitivity of both tests together was 53.7% while the specificity and positive predictive values (PPV) for any of the tests (alone or in combination) was 100%. There was no difference in the sensitivity and specificity when using PLA2R alone compared to combining the two tests (p=0.32). Conclusion Glomerular staining of PLA2R and THSD7A could have potential diagnostic values in South Africans. This has implications on how immunotherapies can be initiated and used in these settings

Automated Reconstruction of Neuronal Morphology Based on Local Geometrical and Global Structural Models

Digital reconstruction of neurons from microscope images is an important and challenging problem in neuroscience. In this paper, we propose a model-based method to tackle this problem. We first formulate a model structure, then develop an algorithm for computing it by carefully taking into account morphological characteristics of neurons, as well as the image properties under typical imaging protocols. The method has been tested on the data sets used in the DIADEM competition and produced promising results for four out of the five data sets

The N-glycome of human embryonic stem cells

<p>Abstract</p> <p>Background</p> <p>Complex carbohydrate structures, glycans, are essential components of glycoproteins, glycolipids, and proteoglycans. While individual glycan structures including the SSEA and Tra antigens are already used to define undifferentiated human embryonic stem cells (hESC), the whole spectrum of stem cell glycans has remained unknown. We undertook a global study of the asparagine-linked glycoprotein glycans (N-glycans) of hESC and their differentiated progeny using MALDI-TOF mass spectrometric and NMR spectroscopic profiling. Structural analyses were performed by specific glycosidase enzymes and mass spectrometric fragmentation analyses.</p> <p>Results</p> <p>The data demonstrated that hESC have a characteristic N-glycome which consists of both a constant part and a variable part that changes during hESC differentiation. hESC-associated N-glycans were downregulated and new structures emerged in the differentiated cells. Previously mouse embryonic stem cells have been associated with complex fucosylation by use of SSEA-1 antibody. In the present study we found that complex fucosylation was the most characteristic glycosylation feature also in undifferentiated hESC. The most abundant complex fucosylated structures were Le^xand H type 2 antennae in sialylated complex-type N-glycans.</p> <p>Conclusion</p> <p>The N-glycan phenotype of hESC was shown to reflect their differentiation stage. During differentiation, hESC-associated N-glycan features were replaced by differentiated cell-associated structures. The results indicated that hESC differentiation stage can be determined by direct analysis of the N-glycan profile. These results provide the first overview of the N-glycan profile of hESC and form the basis for future strategies to target stem cell glycans.</p