1,000 research outputs found
Seasonal Climate Forecasts and Risk Management Among Georgia Farmers
Recent increases in the scientific robustness of seasonal climate forecasts have not led to substantial changes in farmersâ risk management strategies of actors, largely because there is poor integration of scientific forecasting into farmersâ decision-making processes. The goal of the research presented here is to explore the potentials and constraints for farmersâ application of seasonal climate forecasts through an analysis of the cultural contexts of their decision-making and information use. Semi-structured interviews were conducted with 38 farmers in southern Georgia, examining their approaches, risk-management, to livelihood goals and strategies, and interactions with weather and climate information. Findings indicate that farmersâ management of risks associated with climate variability is embedded within a broad array of social factors, including subjective construction of social and personal identities, goals, and values. These cultural contexts affect the ways that farmers interpret and might apply seasonal climate forecasts to agricultural decisions. These findings indicate that, rather than simply acting as a technical information input, seasonal climate forecasts and forecasters must gradually work theirway into farmersâ trusted social networks before their potential as risk management tools will be realized. Furthermore, while seeking to produce scientific information to support farmersâ adaptive practices, scientists themselves must adapt their own practices to better fit a coproduction of knowledge approach
Mechanisms of enhanced non-viral gene delivery to human mesenchymal stem cells induced by glucocorticoid priming
Background: Because of unique roles in wound healing, trophic tissue support, immunomodulation, differentiation ability, and immune privileged status, human mesenchymal stem cells (hMSCs), which can be easily derived from many adult tissues (e.g. bone marrow (BMSCs) and adipose tissue (AMSCs)), are under intense study for the applications of cell and gene therapeutics, as well as tissue engineering and regenerative medicine1. Genetic modification of hMSCs could allow for targeted delivery of transgenic therapeutic factors or genetically-guided differentiation. Non-viral gene delivery (i.e. cationic polymer- and lipid-mediated) is safer and more flexible than immunogenic and mutagenic viral vectors2, but it is less effective, especially in hMSCs (i.e. maximum 10-30% transfection)3. As part of an approach to understand molecular mechanisms of non-viral gene delivery4 and âprimeâ cells to be more receptive to transfection5, our lab recently demonstrated that transgene expression from lipofected hMSCs can be increased about 10-fold by priming cells, 30 mins before plasmid DNA (pDNA) transfection, with 100 nM dexamethasone (DEX), a glucocorticoid (Gc) drug, relative to EtOH vehicle control (VC)6. This work investigates the mechanisms by which Gc priming enhances non-viral gene delivery, which are currently unknown. Studies provide insights into the biological processes of Gc priming and transfection to inform future gene delivery technologies, and characterize a simple protocol to significantly enhance non-viral gene delivery of therapeutic transgenes for future clinical applications.
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Shuttle orbiter Ku-band radar/communications system design evaluation
Tasks performed in an examination and critique of a Ku-band radar communications system for the shuttle orbiter are reported. Topics cover: (1) Ku-band high gain antenna/widebeam horn design evaluation; (2) evaluation of the Ku-band SPA and EA-1 LRU software; (3) system test evaluation; (4) critical design review and development test evaluation; (5) Ku-band bent pipe channel performance evaluation; (6) Ku-band LRU interchangeability analysis; and (7) deliverable test equipment evaluation. Where discrepancies were found, modifications and improvements to the Ku-band system and the associated test procedures are suggested
Acetylcholine modulates gamma frequency oscillations in the hippocampus by activation of muscarinic M1 receptors
This is the author accepted manuscript. The final version is available from the publisher via the DOI in this record.This article has been accepted for publication and undergone full peer review but has not
been through the copyediting, typesetting, pagination and proofreading process, which may
lead to differences between this version and the Version of Record. Please cite this article as
doi: 10.1111/ejn.13582
This article is protected by copyright. All rights reserved.Modulation of gamma oscillations is important for the processing of information and the
disruption of gamma oscillations is a prominent feature of schizophrenia and Alzheimerâs disease. Gamma oscillations are generated by the interaction of excitatory and inhibitory
neurons where their precise frequency and amplitude are controlled by the balance of
Accepted Article
This article is protected by copyright. All rights reserved.
excitation and inhibition. Acetylcholine enhances the intrinsic excitability of pyramidal
neurons and supresses both excitatory and inhibitory synaptic transmission but the net
modulatory effect on gamma oscillations is not known. Here, we find that the power, but not
frequency, of optogenetically
-induced gamma oscillations in the CA3 region of mouse
hippocampal slices is enhanced by low concentrations of the broad spectrum cholinergic
agonist carbachol but reduced at higher concentrations. This bidirectional modulation of
gamma oscillations is replicated within a mathematical model by neuronal depolarization, but
not by reducing synaptic conductances, mimicking the effects of muscarinic M1 receptor
activation. The predicted role for M1 receptors was supported experimentally; bidirectional
modulation of gamma oscillations by acetylcholine was replicated by a selective M1 receptor
agonist and prevented by genetic deletion of M1 receptors. These results reveal that
acetylcholine release in CA3 of the hippocampus modulates gamma oscillation power but not
frequency in a bidirectional and dose
-dependent manner by acting primarily through
muscarinic M1 receptorsThis work was supported by the Wellcome Trust Neural Dynamics PhD programme (RTB)
and the Wellcome Trust (JRM). We thank Eli Lilly and Co. for gifts of GSK
-5 and M1
receptor knockout mice. We thank members of the Mellor lab for helpful discussions and J.
Brown for comments on previous versions of the manuscript. The authors declare no
competing financial interests
Glucocorticoid Priming of Nonviral Gene Delivery to hMSCs Increases Transfection by Reducing Induced Stresses
Human mesenchymal stem cells (hMSCs) are under study for cell and gene therapeutics because of their immunomodulatory and regenerative properties. Safe and efficient gene delivery could increase hMSC clinical potential by enabling expression of transgenes for control over factor production, behavior, and differentiation. Viral delivery is efficient but suffers from safety issues, while nonviral methods are safe but highly inefficient, especially in hMSCs. We previously demonstrated that priming cells with glucocorticoids (Gcs) before delivery of DNA complexes significantly increases hMSC transfection, which correlates with a rescue of transfection-induced metabolic and protein synthesis decline, and apoptosis. In this work, we show that transgene expression enhancement is mediated by transcriptional activation of endogenous hMSC genes by the cytosolic glucocorticoid receptor (cGR) and that transfection enhancement can be potentiated with a GR transcription-activation synergist. We demonstrate that the Gc-activated cGR modulates endogenous hMSC gene expression to ameliorate transfection-induced endoplasmic reticulum (ER) and oxidative stresses, apoptosis, and inflammatory responses to prevent hMSC metabolic and protein synthesis decline, resulting in enhanced transgene expression after nonviral gene delivery to hMSCs. These results provide insights important for rational design of more efficient nonviral gene delivery and priming techniques that could be utilized for clinical hMSC applications
Fitness for purpose? project-based, collaborative learning in engineering undergraduate education
In response to evolving work practices in engineering (Royal Academy of Engineering 2010) and the ever-changing nature of vocational and professional knowledge (Broad, 2016), attention has rightly turned to the development of innovative pedagogies to facilitate the entry of graduates to the employment market. Project-based Learning (PjBL) is an example of such an innovative pedagogy and has been developed in some HE contexts to provide students with authentic learning experiences which are designed to embed team working and collaboration; problem solving and solution-finding alongside the development of technical knowledge and skills (Mills and Treagust, 2003). Yet despite the introduction of collaborative inquiry-based curricula in engineering, comprehensive understanding of the pedagogical practices that these innovative practices require has not yet emerged (DamĆa & Nerland, 2016). At UCL Engineering, PjBL has been an integral feature of the Integrated Engineering Programme (IEP) undergraduate curriculum since 2014. Drawing upon an on-going collaborative Institute of Education/UCL âseed cornâ funded project, this paper will present data collected through observation of project-based learning scenarios and discussion with engineering undergraduates in situ. It will identify and discuss the nature of student learning and engagement in project-based learning activities, with particular attention to disciplinary issues and the development of student disciplinary knowledge. In so doing, it will assess whether PjBL is, indeed, âfit for purposeâ
Highlighting the learning in project-based undergraduate engineering education: pedagogical and methodological considerations
This paper presents a discussion of findings in relation to the pedagogy of Project Based Learning (PjBL) from a collaborative learning and teaching research project at UCL Engineering. It highlights the importance of adopting a) an understanding learning as a social practice in PjBL, and b) developing valid methodological approaches when capturing student learning experiences
A Discrete Version of the Inverse Scattering Problem and the J-matrix Method
The problem of the Hamiltonian matrix in the oscillator and Laguerre basis
construction from the S-matrix is treated in the context of the algebraic
analogue of the Marchenko method.Comment: 11 pages. The Laguerre basis case is adde
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Climate and fisheries: interacting paradigms, scales, and policy approaches ; the IRI-IPRC Pacific Climate-Fisheries Workshop, Honolulu, 14 - 17 November, 2001
An international workshop on research issues related to interactions between climate varia-tions and fisheries was held at the East-West Center of the University of Hawaii in Honolulu from November 14th to 17th, 2001. Forty-eight invited participants represented a sampling of top-tier international scientific expertise with respect to climatic effects on fishery resource populations, fishing operations, and fishery-related socioeconomic issues. An unusual aspect was the interaction of physical, biological, and social scientists at all levels of the discussions. No prepared papers were delivered. Rather, the intended focus was on interdisciplinary and interregional âcross-educationâ and cross-sharing of insights and ideas among scientists with experience ranging
over a variety of species and industry types, intended
to support a collaborative process of:
âą identifying alternative conceptual frameworks and ideas that may better support fruitful interdisciplinary collaborations (particularly between climate scientists and fishery scientists
of both the âecological/biologicalâ and âsocial scienceâ types);
âą exploring associated implications for innovative fisheries management approaches;
âą considering potential applications of the comparative method as a means for effective multilateral research on climate/ecosystems/fisheries issues in the Pacific basin;
âą exploring in this regard the potential utility of certain newly available technologies and methodologies.
The discussions both in plenary sessions as wellas in various separate âfocus groupâ sessions were wide ranging and animated. General consensus emerged on a variety of issues. It was widely agreed, for example, that: (1) as our available records of data and experience grow longer, the observations are not adding up to picture that conforms to conventional scenarios. Effects of environmental variability on fish stocks and fisheries can no longer be ignored, but we remain stuck in a paradigm that has existed for half a century and that is not solving the problem in any general way; (2) we need to move away from focusing so much of our available effort on identifying particular specific relationships and on producing empirical models fitted to specific sets of data, but rather to undertake efforts at more general synthesis that can generate testable general hypotheses (i.e., we need to search for mechanisms and processes, not correlations); (3) climate forecasts (e.g., ENSO forecasts, etc.) do have significant potential value for the fisheries sector, but the information content must be relevant, communicated properly, and compatible with available decision-support models; (4)
downside risks related to reliance on a poor forecast might in many cases outweigh potential benefits; however, we should not abandon the search for means to produce good forecasts; (5) inter-decadal-scale âregime shiftsâ, along with associated large-scale synchronies in resource population variations and resultant socioeconomic issues, probably represent the âhottestâ current set of climate-fisheries research topics. The apparent large-scale synchronies would seem to indicate a rather direct link of climatic events to resource population dynamics, which led to optimism among a significant portion of the workshop participants that major progress on the âclimate to fishâ portion of the problem might be possible on the near term.
On the other hand, there were also areas where broad consensus seemed to be lacking. For example, some participants were quite excited about the potential role of rapidly-evolving adaptive response mechanisms, but there was a general level of concern over a lack of clear evidence for their actual operation and significance in real ocean ecosystems. Likewise,certain participants advocated the idea of a comprehensive collaborative global empirical (statistical) study of available time series of relevant data, but there were questions as to exactly how and by which groups such a grandiose multilateral âdesk studyâ of historical data would be conducted
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