The Evolution of Natural Plant Communities through Crop Migration and Crop-to-weed Gene Flow

With the rising demand for food and biofuels, the efficiency of crop production has become vital to assuring food security. Genetically engineered (GE) crop varieties are broadly thought to be a solution for improving the efficiency of crop production, but concerns regarding their release have heightened as more discoveries have focused on the influence of genetically engineered crops on native and weedy plant species. Risk assessment of GE crop varieties focuses on two main areas: feralization of crop systems and crop-weed hybridization. Risks include naturalization, transgene introgression, and the formation of novel genotypes in natural systems. In this study, roadside surveys and sentinel plant experiments were conducted in North Dakota, U.S.A. in order to assess the risks facing natural plant communities by crop migration and crop to weed gene flow. We documented the establishment of transgenic, persisting canola (Brassica napus L.) populations on a large spatial scale in the U.S.A. and the development of novel genotypes within these populations. We also identify species and population level differences in hybridization rates between transgenic canola and weedy Brassica species within a commercial field environment

The Establishment of Genetically Engineered Canola Populations in the U.S.

Concerns regarding the commercial release of genetically engineered (GE) crops include naturalization, introgression to sexually compatible relatives and the transfer of beneficial traits to native and weedy species through hybridization. To date there have been few documented reports of escape leading some researchers to question the environmental risks of biotech products. In this study we conducted a systematic roadside survey of canola (Brassica napus) populations growing outside of cultivation in North Dakota, USA, the dominant canola growing region in the U.S. We document the presence of two escaped, transgenic genotypes, as well as non-GE canola, and provide evidence of novel combinations of transgenic forms in the wild. Our results demonstrate that feral populations are large and widespread. Moreover, flowering times of escaped populations, as well as the fertile condition of the majority of collections suggest that these populations are established and persistent outside of cultivation

Modulators of Cytoskeletal Reorganization in CA1 Hippocampal Neurons Show Increased Expression in Patients at Mid-Stage Alzheimer's Disease

During the progression of Alzheimer's disease (AD), hippocampal neurons undergo cytoskeletal reorganization, resulting in degenerative as well as regenerative changes. As neurofibrillary tangles form and dystrophic neurites appear, sprouting neuronal processes with growth cones emerge. Actin and tubulin are indispensable for normal neurite development and regenerative responses to injury and neurodegenerative stimuli. We have previously shown that actin capping protein beta2 subunit, Capzb2, binds tubulin and, in the presence of tau, affects microtubule polymerization necessary for neurite outgrowth and normal growth cone morphology. Accordingly, Capzb2 silencing in hippocampal neurons resulted in short, dystrophic neurites, seen in neurodegenerative diseases including AD. Here we demonstrate the statistically significant increase in the Capzb2 expression in the postmortem hippocampi in persons at mid-stage, Braak and Braak stage (BB) III-IV, non-familial AD in comparison to controls. The dynamics of Capzb2 expression in progressive AD stages cannot be attributed to reactive astrocytosis. Moreover, the increased expression of Capzb2 mRNA in CA1 pyramidal neurons in AD BB III-IV is accompanied by an increased mRNA expression of brain derived neurotrophic factor (BDNF) receptor tyrosine kinase B (TrkB), mediator of synaptic plasticity in hippocampal neurons. Thus, the up-regulation of Capzb2 and TrkB may reflect cytoskeletal reorganization and/or regenerative response occurring in hippocampal CA1 neurons at a specific stage of AD progression

Towards a consolidation of worldwide journal rankings - A classification using random forests and aggregate rating via data envelopment analysis

AbstractThe question of how to assess research outputs published in journals is now a global concern for academics. Numerous journal ratings and rankings exist, some featuring perceptual and peer-review-based journal ranks, some focusing on objective information related to citations, some using a combination of the two. This research consolidates existing journal rankings into an up-to-date and comprehensive list. Existing approaches to determining journal rankings are significantly advanced with the application of a new classification approach, ‘random forests’, and data envelopment analysis. As a result, a fresh look at a publication׳s place in the global research community is offered. While our approach is applicable to all management and business journals, we specifically exemplify the relative position of ‘operations research, management science, production and operations management’ journals within the broader management field, as well as within their own subject domain

Opening the Black Box of Cognitive-Behavioural Case Management in Clients with Ultra-High Risk for Psychosis

Background: Cognitive-behavioural therapy (CBT) is the first-choice treatment in clients with ultra-high risk (UHR) for psychosis. However, CBT is an umbrella term for a plethora of different strategies, and little is known about the association between the intensity and content of CBT and the severity of symptomatic outcome. Methods: A sample of 268 UHR participants received 6 months of CBT with case management (CBCM) in the context of the multi-centre NEURAPRO trial with monthly assessments of attenuated psychotic symptoms (APS). Using multilevel regressions and controlling for the initial severity of APS, the associations between (1) number of CBCM sessions received and severity of APS and (2) specific CBCM components and severity of APS were investigated. Results: In month 1, a higher number of sessions and more assessment of symptoms predicted an increase in APS, while in month 3, a higher number of sessions and more monitoring predicted a decrease in the level of APS. More therapeutic focus on APS predicted an overall increase in APS. Conclusions: Our findings indicate that the association between intensity/content of CBCM and severity of APS in a sample of UHR participants depends on the length of time in treatment. CBCM may positively impact the severity of APS later in the course of treatment. Therefore, it would seem important to keep UHR young people engaged in treatment beyond this initial period. Regarding the specific content of CBCM, a therapeutic focus on APS may not necessarily be beneficial in reducing the severity of APS, a possibility in need of further investigation. (C) 2017 S. Karger AG, Base

Interpreting the results of studies using latent variable models to assess data quality: an empirical example using confirmatory factor analysis

Data quality, Latent variable models, Differential item functioning, Confirmatory factor analysis, Survey methods,

Ethical Transparency and Economic Medicalization

shareholder wealth maximization, medicalization, bioethics, medical ethics,