Value chain of Colorado agriculture, The

February 2013Includes bibliographical references.Includes executive summary and Insight briefs.Agriculture is a major contributor to the Colorado economy and, in the words of Governor John Hickenlooper, “led Colorado out of the recession.” In 2012, agriculture was designated as one of the key industries in the Colorado Blueprint initiative for economic development. For leaders in Colorado agriculture, the Blueprint provides a forum and opportunity to build bridges between the different commodities and communities that make up Colorado agriculture, including the closely associated food, beverage, and green industries, many of whom do not communicate regularly with one another. This value chain analysis is intended to serve as a common starting point for new conversations across the broad span of agricultural activities in Colorado. This analysis of the Value Chain of Colorado Agriculture supports the Colorado Blueprint initiative. It illustrates connections among disparate industries and sectors that nonetheless share common resources, constraints and opportunities. The information can aid in the formulation of industry, workforce, and economic development strategies. And, it can help to inform policy and regulatory decision-making processes

JAK1/2 inhibition with baricitinib in the treatment of autoinflammatory interferonopathies

BACKGROUND. Monogenic IFN-mediated autoinflammatory diseases present in infancy with systemic inflammation, an IFN response gene signature, inflammatory organ damage, and high mortality. We used the JAK inhibitor baricitinib, with IFN-blocking activity in vitro, to ameliorate disease. METHODS. Between October 2011 and February 2017, 10 patients with CANDLE (chronic atypical neutrophilic dermatosis with lipodystrophy and elevated temperatures), 4 patients with SAVI (stimulator of IFN genes-associated [STING-associated] vasculopathy with onset in infancy), and 4 patients with other interferonopathies were enrolled in an expanded access program. The patients underwent dose escalation, and the benefit was assessed by reductions in daily disease symptoms and corticosteroid requirement. Quality of life, organ inflammation, changes in IFN-induced biomarkers, and safety were longitudinally assessed. RESULTS. Eighteen patients were treated for a mean duration of 3.0 years (1.5-4.9 years). The median daily symptom score decreased from 1.3 (interquartile range [IQR], 0.93-1.78) to 0.25 (IQR, 0.1-0.63) (P < 0.0001). In 14 patients receiving corticosteroids at baseline, daily prednisone doses decreased from 0.44 mg/kg/day (IQR, 0.31-1.09) to 0.11 mg/kg/day (IQR, 0.02-0.24) (P < 0.01), and 5 of 10 patients with CANDLE achieved lasting clinical remission. The patients' quality of life and height and bone mineral density Z-scores significantly improved, and their IFN biomarkers decreased. Three patients, two of whom had genetically undefined conditions, discontinued treatment because of lack of efficacy, and one CANDLE patient discontinued treatment because of BK viremia and azotemia. The most common adverse events were upper respiratory infections, gastroenteritis, and BK viruria and viremia. CONCLUSION. Upon baricitinib treatment, clinical manifestations and inflammatory and IFN biomarkers improved in patients with the monogenic interferonopathies CANDLE, SAVI, and other interferonopathies. Monitoring safety and efficacy is important in benefit-risk assessment

Spatial dimensions of natural resource decisions: private responses to public resource decisions

2012 Fall.Includes bibliographical references.This dissertation illustrates how the use of spatial economics, as opposed to non-spatial methods, can enrich economic research related to natural resources decision-making. This research encompasses three distinct, but complementary, papers, based on two datasets that vary in richness and scale, and one data-driven model that will detail how data will need to be collected to inform natural resource infrastructure projects in a developing economy. The first essay uses cutting-edge spatial econometric techniques to evaluate the location decisions of private outdoor recreation providers. Here, I find clustering of outdoor recreation opportunities and that private providers are attracted to areas with existing public outdoor recreation opportunities when making their own location decisions. The second essay focuses on a specific form of privately provided outdoor recreation, agritourism, and again finds that the more existing outdoor recreation, the more agritourism trips will be taken. The second essay uses a hurdle travel cost model and focuses on the demanders, as opposed to the suppliers, of private outdoor recreation. The findings reveal that agritourists gain substantial consumer surplus (with averages ranging from $93 to$465) from their trip, and that the model treatment of multi-destination agritourists impacts the estimated consumer surplus. The first two papers use author-created outdoor recreation measures that are introduced in this dissertation. These measures were created to complement the USDA-Economic Research Service Natural Amenities Index, with input from the creators of the Natural Amenities Index, and have potential to be used in many natural resource and economic development studies as the Natural Amenities Index has been. In contrast to the other essays, the third essay recognizes that spatial relationships can be important in evaluating an economic question, even when dense spatial datasets are not available. The study uses an Equilibrium Displacement Model to evaluate water management and storage policies for a canal system in Afghanistan, a country where war and poverty have damaged infrastructure and made it difficult to collect accurate data. Producers' spatial location on the canal is of key importance to understanding their decisions and the failure to account for these spatial relationships could lead to misinformed policy decisions. The Equilibrium Displacement Model results show that water management and storage policies have different impacts on producers based on their spatial location on the canal. Through the use of three very different models, this dissertation illustrates the importance of incorporating spatial impacts when evaluating policies related to natural resources

Risk Indviduality in Crisis Planning: the Case of Gender in Amercan Agriculture

Crisis response can be improved by accounting for differences in risk perception. We confirm that gender individuality can be an important divider by using a case study of agricultural producers. Women were more risk averse and less confident. However, we found less difference than studies have found in other sectors. Our research shows that context matters. Results will vary by geographical location. Gender is one division that should be considered in crisis planning; however, it will not always be important

Risk Indviduality in Crisis Planning: the Case of Gender in Amercan Agriculture

Crisis response can be improved by accounting for differences in risk perception. We confirm that gender individuality can be an important divider by using a case study of agricultural producers. Women were more risk averse and less confident. However, we found less difference than studies have found in other sectors. Our research shows that context matters. Results will vary by geographical location. Gender is one division that should be considered in crisis planning; however, it will not always be important

The impact of physical fitness on resilience to modern life stress and the mediating role of general self-efficacy

Substantial evidence shows that physical activity and fitness play a protective role in the development of stress related disorders. However, the beneficial effects of fitness for resilience to modern life stress are not fully understood. Potentially protective effects may be attributed to enhanced resilience via underlying psychosocial mechanisms such as self-efficacy expectations. This study investigated whether physical activity and fitness contribute to prospectively measured resilience and examined the mediating effect of general self-efficacy. 431 initially healthy adults participated in fitness assessments as part of a longitudinal-prospective study, designed to identify mechanisms of resilience. Self-efficacy and habitual activity were assessed in parallel to cardiorespiratory and muscular fitness, which were determined by a submaximal step-test, hand strength and standing long jump test. Resilience was indexed by stressor reactivity: mental health problems in relation to reported life events and daily hassles, monitored quarterly for nine months. Hierarchical linear regression models and bootstrapped mediation analyses were applied. We could show that muscular and self-perceived fitness were positively associated with stress resilience. Extending this finding, the muscular fitness–resilience relationship was partly mediated by self-efficacy expectations. In this context, self-efficacy expectations may act as one underlying psychological mechanism, with complementary benefits for the promotion of mental health. While physical activity and cardiorespiratory fitness did not predict resilience prospectively, we found muscular and self-perceived fitness to be significant prognostic parameters for stress resilience. Although there is still more need to identify specific fitness parameters in light of stress resilience, our study underscores the general relevance of fitness for stress-related disorders prevention

The Frequent Stressor and Mental Health Monitoring-Paradigm: A Proposal for the Operationalization and Measurement of Resilience and the Identification of Resilience Processes in Longitudinal Observational Studies

Resilience has been defined as the maintenance or quick recovery of mental health during and after times of adversity. How to operationalize resilience and to determine the factors and processes that lead to good long-term mental health outcomes in stressor-exposed individuals is a matter of ongoing debate and of critical importance for the advancement of the field. One of the biggest challenges for implementing an outcome-based definition of resilience in longitudinal observational study designs lies in the fact that real-life adversity is usually unpredictable and that its substantial qualitative as well as temporal variability between subjects often precludes defining circumscribed time windows of inter-individually comparable stressor exposure relative to which the maintenance or recovery of mental health can be determined. To address this pertinent issue, we propose to frequently and regularly monitor stressor exposure (E) and mental health problems (P) throughout a study's observation period [Frequent Stressor and Mental Health Monitoring (FRESHMO)-paradigm]. On this basis, a subject's deviation at any single monitoring time point from the study sample's normative E–P relationship (the regression residual) can be used to calculate that subject's current mental health reactivity to stressor exposure (“stressor reactivity,” SR). The SR score takes into account the individual extent of experienced adversity and is comparable between and within subjects. Individual SR time courses across monitoring time points reflect intra-individual temporal variability in SR, where periods of under-reactivity (negative SR score) are associated with accumulation of fewer mental health problems than is normal for the sample. If FRESHMO is accompanied by regular measurement of potential resilience factors, temporal changes in resilience factors can be used to predict SR time courses. An increase in a resilience factor measurement explaining a lagged decrease in SR can then be considered to index a process of adaptation to stressor exposure that promotes a resilient outcome (an allostatic resilience process). This design principle allows resilience research to move beyond merely determining baseline predictors of resilience outcomes, which cannot inform about how individuals successfully adjust and adapt when confronted with adversity. Hence, FRESHMO plus regular resilience factor monitoring incorporates a dynamic-systems perspective into resilience research

Canakinumab reverses overexpression of inflammatory response genes in tumour necrosis factor receptor-associated periodic syndrome

OBJECTIVE: To explore whether gene expression profiling can identify a molecular mechanism for the clinical benefit of canakinumab treatment in patents with tumour necrosis factor receptor-associated periodic syndrome (TRAPS)