scholarly journals Economic choice between remifentanil and food in squirrel monkeys

Author(s):  
Samantha O. Brown ◽  
Devin P. Effinger ◽  
Rodrigo A. Montoro ◽  
Nabil Daddaoua ◽  
Zuzana Justinova ◽  
...  

AbstractTraditional approaches for evaluating if compounds are reinforcing, and thus a risk for abuse, include preclinical self-administration procedures conducted in the absence of alternative reinforcers. While the track record of this approach for determining abuse potential is good, that for predicting efficacy of addiction treatments is not. An alternate approach would be economic choice between drug and nondrug rewards, with parametrically varied options from trial to trial. This would promote goal-directed decisions between reward modalities and should provide metrics that reflect changes in internal state that influence desirability of a given option. We report herein a high throughput economic choice procedure in which squirrel monkeys choose between a short-lived opiate, remifentanil, and a palatable food reward. Stimuli on touchscreens indicate the amount of each reward type offered by varying the number of reward-specific elements. The rapid clearance of remifentanil avoids accumulation of confounding levels of drug, and permits a large number of trials with a wide range of offers of each reward modality. The use of a single metric encompassing multiple values of each reward type within a session enables estimation of indifference values using logistic regression. This indifference value is sensitive to reward devaluation within each reward domain, and is therefore a useful metric for determining shifts in reward preference, as shown with satiation and pharmacological treatment approaches.

2014 ◽  
Vol 169 ◽  
pp. 179-193 ◽  
Author(s):  
Julian Heinrich ◽  
Michael Krone ◽  
Seán I. O'Donoghue ◽  
Daniel Weiskopf

Intrinsically disordered regions (IDRs) in proteins are still not well understood, but are increasingly recognised as important in key biological functions, as well as in diseases. IDRs often confound experimental structure determination—however, they are present in many of the available 3D structures, where they exhibit a wide range of conformations, from ill-defined and highly flexible to well-defined upon binding to partner molecules, or upon post-translational modifications. Analysing such large conformational variations across ensembles of 3D structures can be complex and difficult; our goal in this paper is to improve this situation by augmenting traditional approaches (molecular graphics and principal components) with methods from human–computer interaction and information visualisation, especially parallel coordinates. We present a new tool integrating these approaches, and demonstrate how it can dissect ensembles to reveal functional insights into conformational variation and intrinsic disorder.


2016 ◽  
Vol 233 (10) ◽  
pp. 1867-1877 ◽  
Author(s):  
Charles W. Schindler ◽  
Maria Scherma ◽  
Godfrey H. Redhi ◽  
Subramanian K. Vadivel ◽  
Alexandros Makriyannis ◽  
...  

1994 ◽  
Vol 271 (2-3) ◽  
pp. 461-469 ◽  
Author(s):  
Christine A. Sannerud ◽  
Jose Prada ◽  
Donna M. Goldberg ◽  
Steven R. Goldberg

Traditio ◽  
2014 ◽  
Vol 69 ◽  
pp. 125-145
Author(s):  
Kirsten Wolf

The human face has the capacity to generate expressions associated with a wide range of affective states. Despite the fact that there are few words to describe human facial behaviors, the facial muscles allow for more than a thousand different facial appearances. Some examples of feelings that can be expressed are anger, concentration, contempt, excitement, nervousness, and surprise. Regardless of culture or language, the same expressions are associated with the same emotions and vary only in intensity. Using modern psychological analyses as a point of departure, this essay examines descriptions of human facial expressions as well as such bodily “symptoms” as flushing, turning pale, and weeping in Old Norse-Icelandic literature. The aim is to analyze the manner in which facial signs are used as a means of non-verbal communication to convey the impression of an individual's internal state to observers. More specifically, this essay seeks to determine when and why characters in these works are described as expressing particular facial emotions and, especially, the range of emotions expressed. The Sagas andþættirof Icelanders are in the forefront of the analysis and yield well over one hundred references to human facial expression and color. The examples show that through gaze, smiling, weeping, brows that are raised or knitted, and coloration, the Sagas andþættirof Icelanders tell of happiness or amusement, pleasant and unpleasant surprise, fear, anger, rage, sadness, interest, concern, and even mixed emotions for which language has no words. The Sagas andþættirof Icelanders may be reticent in talking about emotions and poor in emotional vocabulary, but this poverty is compensated for by making facial expressions signifiers of emotion. This essay makes clear that the works are less emotionally barren than often supposed. It also shows that our understanding of Old Norse-Icelandic “somatic semiotics” may well depend on the universality of facial expressions and that culture-specific “display rules” or “elicitors” are virtually nonexistent.


Author(s):  
Vsevolod Chernyshenko ◽  
Vladimir Soloviev ◽  
Vadim Feklin ◽  
Mikhail Koroteev ◽  
Nikita Titov

The chapter formalizes the financial task for the definitions and properties of financial indicators under study. A wide range of traditional approaches used for predicting economic time series were reviewed. Investigated as well were the advanced algorithms for predicting moments of reversals of market trends based on machine learning tools. The chapter discusses the effectiveness of different kinds of approaches, which is illustrated with related examples. Described is an original securities price dynamics trend classification algorithm, based on the use of the sliding window methodology and financial agents. General scheme of the classification algorithm to identify market phases is analyzed and results of computer modeling are presented. Selection of initial and resulting metrics is grounded.


Author(s):  
Stefan Westerlund ◽  
Christopher Harris

AbstractThe latest generation of radio astronomy interferometers will conduct all sky surveys with data products consisting of petabytes of spectral line data. Traditional approaches to identifying and parameterising the astrophysical sources within this data will not scale to datasets of this magnitude, since the performance of workstations will not keep up with the real-time generation of data. For this reason, it is necessary to employ high performance computing systems consisting of a large number of processors connected by a high-bandwidth network. In order to make use of such supercomputers substantial modifications must be made to serial source finding code. To ease the transition, this work presents the Scalable Source Finder Framework, a framework providing storage access, networking communication and data composition functionality, which can support a wide range of source finding algorithms provided they can be applied to subsets of the entire image. Additionally, the Parallel Gaussian Source Finder was implemented using SSoFF, utilising Gaussian filters, thresholding, and local statistics. PGSF was able to search on a 256GB simulated dataset in under 24 minutes, significantly less than the 8 to 12 hour observation that would generate such a dataset.


Author(s):  
Ph. M. Gerson ◽  
A. J. Taylor ◽  
B. Ramond

Technical Innovation covers the process of creating a new successful competitive product from invention to production and market introduction within a practical company related context. Typically education for this kind of complicated, open ended work requires mastering a wide range of knowledge-areas and a lot of hands-on training practice in projects and workshops. The combination of depth and width is symbolized by the “T-shape”. Well-known learning theories give a good rationale of the teaching approaches that were developed over the years and a confirmation of this approach, including the important role of the experienced tutor, is found in the study of excellent companies. Work of a “T-shaped” engineer in the technical innovation process bears many similarities to the ideal transformation process of a company, like Collins describes in his “Good to Great”. The processes have a very comparable open-ended character, a focus for essence and simple, elegant solutions, opportunities and inventions. Success seems to rely more on the right people and a concentrated shared-goal driven cooperation (“flow”), than on the right methods of work. Collins’ observations and conclusions, applied to the domain of engineering design education helps understanding the earlier reported 15 years success of the International Product Design Engineering (IPDE) course of the Hanze University Groningen, with its combination of lecturing, projects and workshops, with a high reality content and direct supervision. The IPDE-related “Open Dynamic Design” (ODD) project and the educational experiments showed similar observations. Essential is the committed experienced participation in real innovation projects and intensive workshops, lead by very experienced T-shaped supervisors/“masters”, having deep knowledge over a good part of technologies, entrepreneurial and/or design related issues and good understanding of interrelationship and consequences in the other fields. They also should have a track record on the methodologies of product innovation and product development. Like the Collins level-5 leaders, they should be able to be both creative and analytical, give the students freedom and control them at the appropriate moments. They power the theoretical most effective learning “circle” with focused introductions and assignments, their direct, knowledgeable and adequate feedback, and quiet help during contemplation. Then the workshops are really fun and effective. The Loughborough and Glasgow Design engineering courses, the new master course at the Innovation Centre of the University of Technology of Compiegne (UTC) and the one at the Hanze Institute for Technology — an upgrade from IPDE — are built on these insights. To safeguard the continuation of this approach, a pool of experienced and potential (home and guest) T-experts is founded together by the small group of universities and their industrial partners, working jointly in the workshops, projects and modules, training the trainers while training the students - in T-design.


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