218 research outputs found

    Effectiveness and Cost of Shrub Removal Methods in Degraded Woodlands Being Converted to Silvopasture

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    Transforming degraded woodlands to silvopasture is of interest in the Midwestern USA as it increases profitability of farms and benefits animal health. Invasive shrubs within woodlands, however, are a major obstacle to silvopasture establishment. Research was undertaken to evaluate the effectiveness, cost and resulting herbaceous canopy light interception of common brush-control methods when used alone or integrated over a two-year timeframe. Five treatments were established in a randomized complete block design. In the first year, treatments were either forestry mowed (mow) or rotationally grazed by goats (goats) at a stocking density of 5700 to 6000 kg per hectare. In the second year, mow and goat treatments were either grazed by goats again or shrubs were treated with a herbicide (herb). These were compared to a non-treated control. Costs of each treatment were calculated based on labor, equipment/supplies, and contracts. Vegetation composition and herbaceous canopy light interception were evaluated the summer after treatments were implemented. Forestry mowing followed by herbicide was the least expensive treatment at $1833/ha, while goats were 72% higher. Light interception by the herbaceous canopy was not reduced by goats, but mowing followed by goats increased light interception such that it was greater than repeated goat grazing (p\u3c0.05). While shrubs were initially impacted by treatments, resprouting resulted in no differences in abundance compared with non-treated controls. Grass abundance was similar in control plots and treatments (p\u3e0.05). Forb abundance remained similar in control and goat-grazed treatments but increased in mowed areas. Costs and effectiveness of multi-year treatments will continue to be evaluated through 2024

    Synth-by-Reg (SbR): Contrastive Learning for Synthesis-Based Registration of Paired Images

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    Nonlinear inter-modality registration is often challenging due to the lack of objective functions that are good proxies for alignment. Here we propose a synthesis-by-registration method to convert this problem into an easier intra-modality task. We introduce a registration loss for weakly supervised image translation between domains that does not require perfectly aligned training data. This loss capitalises on a registration U-Net with frozen weights, to drive a synthesis CNN towards the desired translation. We complement this loss with a structure preserving constraint based on contrastive learning, which prevents blurring and content shifts due to overfitting. We apply this method to the registration of histological sections to MRI slices, a key step in 3D histology reconstruction. Results on two public datasets show improvements over registration based on mutual information (13% reduction in landmark error) and synthesis-based algorithms such as CycleGAN (11% reduction), and are comparable to registration with label supervision. Code and data are publicly available at https://github.com/acasamitjana/SynthByReg

    What Africa can do to accelerate and sustain progress against malaria

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    After a longstanding global presence, malaria is now largely non-existent or suppressed in most parts of the world. Today, cases and deaths are primarily concentrated in sub-Saharan Africa. According to many experts, this persistence on the African continent reflects factors such as resistance to insecticides and drugs as well as insufficient access to essential commodities such as insecticide-treated nets and effective drugs. Crucially, however, this narrative ignores many central weaknesses in the fight against malaria and instead reinforces a narrow, commodity-driven vision of disease control. This paper therefore describes the core challenges hindering malaria programs in Africa and highlights key opportunities to rethink current strategies for sustainable control and elimination. The epidemiology of malaria in Africa presents far greater challenges than elsewhere and requires context-specific initiatives tailored to national and sub-national targets. To sustain progress, African countries must systematically address key weaknesses in its health systems, improve the quality and use of data for surveillance-responses, improve both technical and leadership competencies for malaria control, and gradually reduce overreliance on commodities while expanding multisectoral initiatives such as improved housing and environmental sanitation. They must also leverage increased funding from both domestic and international sources, and support pivotal research and development efforts locally. Effective vaccines and drugs, or other potentially transformative technologies such as genedrive modified mosquitoes, could further accelerate malaria control by complementing current tools. However, our underlying strategies remain insufficient and must be expanded to include more holistic and context-specific approaches critical to achieve and sustain effective malaria control

    Rethinking human resources and capacity building needs for malaria control and elimination in Africa

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    Despite considerable success in controlling malaria worldwide, progress toward achieving malaria elimination has largely stalled. In particular, strategies to overcome roadblocks in malaria control and elimination in Africa are critical to achieving worldwide malaria elimination goals-this continent carries 94% of the global malaria case burden. To identify key areas for targeted efforts, we combined a comprehensive review of current literature with direct feedback gathered from frontline malaria workers, leaders, and scholars from Africa. Our analysis identified deficiencies in human resources, training, and capacity building at all levels, from research and development to community involvement. Addressing these needs will require active and coordinated engagement of stakeholders as well as implementation of effective strategies, with malaria-endemic countries owning the relevant processes. This paper reports those valuable identified needs and their concomitant opportunities to accelerate progress toward the goals of the World Health Organization's Global Technical Strategy for Malaria 2016-2030. Ultimately, we underscore the critical need to re-think current approaches and expand concerted efforts toward increasing relevant human resources for health and capacity building at all levels if we are to develop the relevant competencies necessary to maintain current gains while accelerating momentum toward malaria control and elimination

    Healthy ageing education across Europe: a survey of ENPHE members

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    Background and Purpose Healthy ageing is an optimal status that people could achieve when they currently adapt their physical and psychological evolution that allow them to participate socially with a high level of autonomy. The process of becoming older is a personal process that can be very heterogeneous. This heterogeneity generates different approaches depending on the needs, capacities of adaptation and subject possibilities. Therefore, it is important that any kind of intervention should adapt specifically to each patient. Description With the goal to develop and offer updated education in Healthy Ageing, a group of five universities: Ecole d’Assas (France), Blanquerna-Universitat RamĂłn Lull (Spain), Univerzita PalackĂ©ho v Olomouci (Czech Republic), Kolegji Heimerer (Kosovo) and Escola de SaĂșde do AlcoitĂŁo (Portugal) decided to set up a joint adventure as encouraged by ENPHE. Our first step is to benchmark and characterise within Europe the tendencies, the offers and models of best practices. Material / Methods An online questionnaire was developed and sent to all the ENPHE members between January and February of 2017. The survey was composed of twenty close and open questions related to the participant identification, course description and identification of institutional projects in healthy ageing Summary of Results From a population of 136 EMPHE member's we receive 39 complete responses (27%) and the main results are: 69% of the respondents offer courses about healthy ageing; 88% Integrated in the bachelor degree ; mainly for Physiotherapists students (92%); and with the most prevalent topics (above 80%) - Assessment and intervention of clients/populations, multidisciplinary issues and Prevention; the main pedagogical approaches used are lectures (88%), clinical training/field work (77%) and casebased learning (74%); being written or oral examination (81%) the main assessment strategies used. Importance It is very important to empower the individual to become autonomous in deciding how to manage their own ageing process in a healthy way. Any curricula should take in account this reality in order to transform the role of health care professionals and provide them competences to support individuals in this process.N/

    Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas

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    Joint registration of a stack of 2D histological sections to recover 3D structure ("3D histology reconstruction") finds application in areas such as atlas building and validation of in vivo imaging. Straightforward pairwise registration of neighbouring sections yields smooth reconstructions but has well-known problems such as "banana effect" (straightening of curved structures) and "z-shift" (drift). While these problems can be alleviated with an external, linearly aligned reference (e.g., Magnetic Resonance (MR) images), registration is often inaccurate due to contrast differences and the strong nonlinear distortion of the tissue, including artefacts such as folds and tears. In this paper, we present a probabilistic model of spatial deformation that yields reconstructions for multiple histological stains that that are jointly smooth, robust to outliers, and follow the reference shape. The model relies on a spanning tree of latent transforms connecting all the sections and slices of the reference volume, and assumes that the registration between any pair of images can be see as a noisy version of the composition of (possibly inverted) latent transforms connecting the two images. Bayesian inference is used to compute the most likely latent transforms given a set of pairwise registrations between image pairs within and across modalities. We consider two likelihood models: Gaussian (ℓ2 norm, which can be minimised in closed form) and Laplacian (ℓ1 norm, minimised with linear programming). Results on synthetic deformations on multiple MR modalities, show that our method can accurately and robustly register multiple contrasts even in the presence of outliers. The framework is used for accurate 3D reconstruction of two stains (Nissl and parvalbumin) from the Allen human brain atlas, showing its benefits on real data with severe distortions. Moreover, we also provide the registration of the reconstructed volume to MNI space, bridging the gaps between two of the most widely used atlases in histology and MRI. The 3D reconstructed volumes and atlas registration can be downloaded from https://openneuro.org/datasets/ds003590. The code is freely available at https://github.com/acasamitjana/3dhirest

    Glucagon stimulation test to assess growth hormone status in Prader-Willi syndrome

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    Growth hormone deficiency (GHD) must be confirmed before starting treatment in adults with Prader-Willi syndrome (PWS). Most studies use the growth-hormone-releasing hormone plus arginine (GHRH-arginine) test. No data are available on the glucagon stimulation test (GST) in PWS. We compared the utility of fixed-dose (1 mg) GST versus GHRH-arginine test in diagnosing GHD. Adults and late adolescents with PWS underwent both tests on separate days. In the GHRH-arginine test, GHD was defined according to body mass index. In the GST, two cutoffs were analyzed: peak GH concentration 90 kg). We analyzed 34 patients: 22 weighing ≀ 90 kg and 12 weighing > 90 kg. In patients weighing ≀ 90 kg, the two tests were concordant in 16 (72.72%) patients (k = 0.476, p = 0.009 with GST cutoff 90 kg, the two tests were not concordant with GST cutoff 90 kg, the < 1 ng/mL cutoff seems better. Larger studies are necessary to establish definitive glucagon doses and cutoffs, especially in extremely obese patients
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