A note on the annual cycles of surface heat balance and temperature over a continent

A surface heating function, defined as the ratio of the time derivative of the mean annual temperature curve to the surface heat balance, is computed from the annual temperature range and heat balance data for the North American continent. An annual cycle of the surface heat balance is then reconstructed from the surface heating function and the annual temperature curve, and an annual cycle of evaporative plus turbulent heat loss is recomputed from the annual cycles of radiation balance and surface heat balance for the continent. The implications of these results for long range weather forecasting are discussed

Test and evaluation of a multifunction keyboard and a dedicated keyboard for control of a flight management computer

A flight management computer (FMC) control display unit (CDU) test was conducted to compare two types of input devices: a fixed legend (dedicated) keyboard and a programmable legend (multifunction) keyboard. The task used for comparison was operation of the flight management computer for the Boeing 737-300. The same tasks were performed by twelve pilots on the FMC control display unit configured with a programmable legend keyboard and with the currently used B737-300 dedicated keyboard. Flight simulator work activity levels and input task complexity were varied during each pilot session. Half of the points tested were previously familiar with the B737-300 dedicated keyboard CDU and half had no prior experience with it. The data collected included simulator flight parameters, keystroke time and sequences, and pilot questionnaire responses. A timeline analysis was also used for evaluation of the two keyboard concepts

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 farmers’ risk management strategies of actors, largely because there is poor integration of scientific forecasting into farmers’ decision-making processes. The goal of the research presented here is to explore the potentials and constraints for farmers’ 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 farmers’ 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 farmers’ trusted social networks before their potential as risk management tools will be realized. Furthermore, while seeking to produce scientific information to support farmers’ adaptive practices, scientists themselves must adapt their own practices to better fit a coproduction of knowledge approach

Pilot study and evaluation of a SMMR-derived sea ice data base

Data derived from the Nimbus 7 scanning multichannel microwave radiometer (SMMR) are discussed and the types of problems users have with satellite data are documented. The development of software for assessing the SMMR data is mentioned. Two case studies were conducted to verify the SMMR-derived sea ice concentrations and multi-year ice fractions. The results of a survey of potential users of SMMR data are presented, along with SMMR-derived sea ice concentration and multiyear ice fraction maps. The interaction of the Arctic atmosphere with the ice was studied using the Nimbus 7 SMMR. In addition, the characteristics of ice in the Arctic ocean were determined from SMMR data

Factors Associated with Attrition from Mindfulness-Based Cognitive Therapy in Patients with a History of Suicidal Depression

We report data from a randomised controlled trial of mindfulness-based cognitive therapy to pilot procedures for people with a history of suicidal ideation or behaviour, focusing in particular on the variables that distinguish those who complete an adequate ‘dose’ of treatment, from those who drop out. Sixty-eight participants were randomised to either immediate treatment with mindfulness-based cognitive therapy (MBCT) (n = 33) or to the waitlist (n = 36) arm of the trial. In addition to collecting demographic and clinical information, we assessed participants’ cognitive reactivity using the means end problem-solving task, completed before and after a mood induction procedure. Ten participants dropped out of treatment, and eight dropped out of the waitlist condition. Those who dropped out of MBCT were significantly younger than those who completed treatment, less likely to be on antidepressants, had higher levels of depressive rumination and brooding and showed significantly greater levels of problem-solving deterioration following mood challenge. None of these factors distinguished participants in the waiting list condition who remained in the study from those who dropped out. Our results suggest that individuals with high levels of cognitive reactivity, brooding and depressive rumination may find it particularly difficult to engage with MBCT, although paradoxically they are likely to have the most to gain from the development of mindfulness skills if they remain in class. Addressing how such patients can be best prepared for treatment and supported to remain in treatment when difficulties arise is an important challenge

Governance gaps in eradicating forced labor: from global to domestic supply chains

A growing body of scholarship analyzes the emergence and resilience of forced labor in developing countries within global value chains (GVCs). However, little is known about how forced labor arises within domestic supply chains concentrated within national borders, producing products for domestic consumption. We conduct one of the first studies of forced labor in domestic supply chains, through a cross-industry comparison of the regulatory gaps surrounding forced labor in the United Kingdom. We find that understanding the dynamics of forced labor in domestic supply chains requires us to conceptually modify the GVC framework to understand similarities and differences across these contexts. We conclude that addressing the governance gaps that surround forced labor will require scholars and policymakers to carefully refine their thinking about how we might design operative governance that effectively engages with local variation

From Dimensional Reduction of 4d Spin Foam Model to Adding Non-Gravitational Fields to 3d Spin Foam Model

A Kaluza-Klein like approach for a 4d spin foam model is considered. By applying this approach to a model based on group field theory in 4d (TOCY model), and using the Peter-Weyl expansion of the gravitational field, reconstruction of new non gravitational fields and interactions in the action are found. The perturbative expansion of the partition function produces graphs colored with su(2) algebraic data, from which one can reconstruct a 3d simplicial complex representing space-time and its geometry; (like in the Ponzano-Regge formulation of pure 3d quantum gravity), as well as the Feynman graph for typical matter fields. Thus a mechanism for generation of matter and construction of new dimensions are found from pure gravity.Comment: 11 pages, no figure, to be published in International Journal of Geometric Methods in Modern Physic

Differential localization and expression of complement in a rat model of motor neuron disease

ComBio is the major ASBMB conference held each year, in association with other organisations. This page has links to past, current and future ComBio meetings. Further information and links will be placed online as they become available

Dispositional Mindfulness, Meditation, and Conditional Goal Setting

Conditional goal setting (CGS, the tendency to regard high order goals such as happiness, as conditional upon the achievement of lower order goals) is observed in individuals with depression and recent research has suggested a link between levels of dispositional mindfulness and conditional goal setting in depressed patients. Since interventions which aim to increase mindfulness through training in meditation are used with patients suffering from depression it is of interest to examine whether such interventions might alter CGS. Study 1 examined the correlation between changes in dispositional mindfulness and changes in CGS over a 3-4 month period in patients participating in a pilot randomised controlled trial of Mindfulness-Based Cognitive Therapy (MBCT). Results indicated that increases in dispositional mindfulness were significantly associated with decreases in CGS, although this effect could not be attributed specifically to the group who had received training in meditation. Study 2 explored the impact of brief periods of either breathing or loving kindness meditation on CGS in 55 healthy participants. Contrary to expectation, a brief period of meditation increased CGS. Further analyses indicated that this effect was restricted to participants low in goal re-engagement ability who were allocated to loving kindness meditation. Longer term changes in dispositional mindfulness are associated with reductions in CGS in patients with depressed mood. However initial reactions to meditation, and in particular loving kindness meditation, may be counterintuitive and further research is required in order to determine the relationship between initial reactions and longer-term benefits of meditation practice