Letteratura scientifica selezionata sul tema "Under pressure decision model"

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Articoli di riviste sul tema "Under pressure decision model":

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Tamir, Emanuel, e Mirit K. Grabarski. "Under Pressure: Why School Managements Use Garbage Can Model of Decision?" Research in Educational Administration & Leadership 3, n. 1 (27 luglio 2018): 1–28. http://dx.doi.org/10.30828/real/2018.1.1.

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Hwang, Mark I. "Decision making under time pressure: A model for information systems research". Information & Management 27, n. 4 (ottobre 1994): 197–203. http://dx.doi.org/10.1016/0378-7206(94)90048-5.

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Wu, Xinlin, e Daoxin Ding. "A Satisficing Heuristic Decision-Making Model under Limited Attention and Incomplete Preferences". Journal of Mathematics 2021 (3 dicembre 2021): 1–8. http://dx.doi.org/10.1155/2021/8951335.

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Classical choice theory assumes that a decision-maker considers all feasible alternatives. However, a decision-maker in the real world can not consider all alternatives because of limited attention. In this paper, we propose a satisficing choice model to describe the choice procedure based on the incomplete preferences under the limited attention of the decision-maker. Moreover, the existence and rationality properties of the satisficing choice model on the different domains are studied combined with some proposed rationality conditions. Further, the proposed satisficing choice model is applied to a case of quality competition. Results show that the satisficing choice model of this paper is of a certain theoretical guiding significance to a kind of emergency decisions made by decision-makers under the circumstance of time pressure and limited information. It can also be the theoretical foundation for the study on the boundedly rational decision-making.
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Goldsby, Elizabeth, Michael Goldsby, Christopher B. Neck e Christopher P. Neck. "Under Pressure: Time Management, Self-Leadership, and the Nurse Manager". Administrative Sciences 10, n. 3 (28 giugno 2020): 38. http://dx.doi.org/10.3390/admsci10030038.

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Decision making by nurses is complicated by the stress, chaos, and challenging demands of the work. One of the major stressors confronting nurses is perceived time pressure. Given the potential negative outcomes on nurses due to perceived time pressures, it seems logical that a nurse manager’s ability to lead nurses in moderating this time pressure and in turn to make better decisions could enhance nurse well-being and performance. Paralleling research in the nursing literature suggests that, in order to improve patients’ judgement of the care they received, nurse managers should embrace ways to lower nurses’ perceived time pressure. In this conceptual paper, we propose a model to help mitigate time pressure on nurse managers and their frontline nurses based on the research regarding time pressure, psychosocial care, time management, and self-leadership. Three metaconjectures and suggested future studies are given for further consideration by organizational and psychological researchers.
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Dai, Feng, Jingxu Liu e Ling Liang. "INDUSTRY SEGMENTATION UNDER ENVIRONMENTAL PRESSURE: AN OPTIMAL APPROACH". Technological and Economic Development of Economy 19, Supplement_1 (28 gennaio 2014): S524—S543. http://dx.doi.org/10.3846/20294913.2014.880081.

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Based on the Solow growth model, this paper builds a combinatorial model for economic growth under environmental pressure. Using the model, the optimal number of industries in an economy can be computed, and the “optimal number” can be regarded as a criterion for decision making concerning industry segmentation. This paper presents a critical value of the number of industries in an economy, which determines the economic output to grow (or not) after industry segmentation. The findings include the following: (1) technological progress and innovative growth cause an industry segmentation, and (2) industry segmentation is the primary approach to sustaining economic growth under environmental pressure.
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Glöckner, Andreas, e Sara D. Hodges. "Parallel Constraint Satisfaction in Memory-Based Decisions". Experimental Psychology 58, n. 3 (1 novembre 2011): 180–95. http://dx.doi.org/10.1027/1618-3169/a000084.

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Three studies sought to investigate decision strategies in memory-based decisions and to test the predictions of the parallel constraint satisfaction (PCS) model for decision making (Glöckner & Betsch, 2008). Time pressure was manipulated and the model was compared against simple heuristics (take the best and equal weight) and a weighted additive strategy. From PCS we predicted that fast intuitive decision making is based on compensatory information integration and that decision time increases and confidence decreases with increasing inconsistency in the decision task. In line with these predictions we observed a predominant usage of compensatory strategies under all time-pressure conditions and even with decision times as short as 1.7 s. For a substantial number of participants, choices and decision times were best explained by PCS, but there was also evidence for use of simple heuristics. The time-pressure manipulation did not significantly affect decision strategies. Overall, the results highlight intuitive, automatic processes in decision making and support the idea that human information-processing capabilities are less severely bounded than often assumed.
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Luini, Lorenzo P., e Francesco S. Marucci. "Prediction–Confirmation Hypothesis and Affective Deflection Model to account for split-second decisions and decision-making under pressure of proficient decision-makers". Cognition, Technology & Work 17, n. 3 (28 febbraio 2015): 329–44. http://dx.doi.org/10.1007/s10111-015-0328-0.

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Kalaitzi, Dimitra, Aristides Matopoulos, Michael Bourlakis e Wendy Tate. "Supply chains under resource pressure". International Journal of Operations & Production Management 39, n. 12 (10 dicembre 2019): 1323–54. http://dx.doi.org/10.1108/ijopm-02-2019-0137.

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Purpose The purpose of this paper is to investigate the implications of supply chain strategies that manufacturing companies can use to minimise or overcome natural resource scarcity, and ultimately improve resource efficiency and achieve competitive advantage. The relationship between resource efficiency and competitive advantage is also explored. Design/methodology/approach The proposed research model draws on resource dependence theory. Data were collected from 183 logistics, purchasing, sustainability and supply chain managers from various manufacturing companies and analysed by applying the partial least squares structural equation modelling technique. Findings The results indicate that both buffering and bridging strategies improve resource efficiency; however, only bridging strategies seem to lead to firm’s competitive advantage in terms of ownership and accessibility to resources. The relationship between resource efficiency and competitive advantage is not supported. Research limitations/implications Future research could confirm the robustness of these findings by using a larger sample size and taking into account other supply chain members. Practical implications This research provides guidance to managers faced with the growing risk of resource scarcity to achieve a resource efficient supply chain and an advantage over competitors. Originality/value Studies have explored the appropriate strategies for minimising dependencies caused by the scarcity of natural resources in the field of supply chain management; however, there is limited empirical work on investigating the impact of these strategies on resource efficiency and competitive advantage.
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Soshi, Takahiro, Mitsue Nagamine, Emiko Fukuda e Ai Takeuchi. "Modeling Skin Conductance Response Time Series during Consecutive Rapid Decision-Making under Concurrent Temporal Pressure and Information Ambiguity". Brain Sciences 11, n. 9 (25 agosto 2021): 1122. http://dx.doi.org/10.3390/brainsci11091122.

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Emergency situations promote risk-taking behaviors associated with anxiety reactivity. A previous study using the Iowa Gambling Task (IGT) has demonstrated that prespecified state anxiety predicts moderate risk-taking (middle-risk/high-return) after salient penalty events under temporal pressure and information ambiguity. Such moderate risk-taking can be used as a behavioral background in the case of fraud damage. We conducted two psychophysiological experiments using the IGT and used a psychophysiological modeling approach to examine how moderate risk-taking under temporal pressure and information ambiguity is associated with automatic physiological responses, such as a skin conductance response (SCR). The first experiment created template SCR functions under concurrent temporal pressure and information ambiguity. The second experiment produced a convolution model using the SCR functions and fitted the model to the SCR time series recorded under temporal pressure and no temporal pressure, respectively. We also collected the participants’ anxiety profiles before the IGT experiment. The first finding indicated that participants with higher state anxiety scores yielded better model fitting (that is, event-related physiological responses) under temporal pressure. The second finding demonstrated that participants with better model fitting made consecutive Deck A selections under temporal pressure more frequently. In summary, a psychophysiological modeling approach is effective for capturing overlapping SCRs and moderate risk-taking under concurrent temporal pressure and information ambiguity is associated with automatic physiological and emotional reactivity.
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Dutta, Neelotpal, Garvit Mathur e Mohammad Talha. "Analysis of the Formation of an Aneurysm in Arteries Through Finite Element Modeling Using Hyper-Elastic Model". Advanced Science, Engineering and Medicine 12, n. 12 (1 dicembre 2020): 1456–61. http://dx.doi.org/10.1166/asem.2020.2599.

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This paper presents the stress patterns and deformation in an artery with an aneurysm under a variation of pressure. An aneurysm occurs when a weak portion of artery wall bulges out under pressure. To make a proper treatment decision, one must understand the formation and growth of the condition. In this article, finite element analysis of the formation of fusiform aneurysms in arteries is presented using the hyperelastic material model by employing ANSYS. We present the effect of different blood pressures in the deformation of the weakened arterial wall and also compare it with a normal artery. This work can be used as a reference for research in this area.

Tesi sul tema "Under pressure decision model":

1

Savage, David A. "Decision making under pressure : a behavioural economics perspective". Thesis, Queensland University of Technology, 2013. https://eprints.qut.edu.au/64106/1/David_Savage_Thesis.pdf.

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This research investigates the decision making process of individuals from revealed preferences in extreme environments or life-and-death situations, from a behavioral economics perspective. The empirical analysis of revealed behavioral preferences shows how the individual decision making process can deviate from the standard self-interested or “homo economicus” model in non-standard situations. The environments examined include: elite athletes in FIFA World and Euro Cups; climbing on Everest and the Himalaya; communication during 9/11 and risk seeking after the 2011 Brisbane floods. The results reveal that the interaction of culture and environment has a significant impact on the decision process, as social behaviors and institutions are intimately intertwined, which govern the processes of human behavior and interaction. Additionally, that risk attitudes are not set and that immediate environmental factors can induce a significant shift in an individuals risk seeking behaviors.
2

Smith, Charles Adams Plater. "Decision-making under time pressure: The effects of time pressure on information search strategy, decision strategy, consistency, and outcome quality". Diss., The University of Arizona, 1990. http://hdl.handle.net/10150/185066.

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The design of information systems to support crisis management can be improved when more is known about the ways in which people process information under time pressure. A laboratory experiment was conducted to investigate the effects of time pressure on decision behavior. The decision task required the subjects to use a computerized information display to search for information under time pressure. When the time limit for searching expired, the subjects were required to make a decision. The decision task type, choice or judgment, and three separate information display formats were also manipulated. A total of 144 student subjects were randomly assigned to the resulting six combinations of task/display treatments. Each subject performed the decision task at three levels of time pressure. Dependent measures included information search strategy, decision strategy, decision consistency, and decision quality. Analyses of the results suggest that time pressure had no effect on the information search strategy or the decision strategy. For five of the six task/display groups, time pressure was inversely related to consistency and quality. One group exhibited an inverted U relationship between time pressure and consistency. Display format had an effect on information search strategy. Task type had an effect on both consistency and quality; the performances of the choice groups were superior to those of the judgment groups. The implications of these findings with respect to the design of information systems is discussed.
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Brooks, Scott M. "Decision making under time pressure : examination within a job interview context /". The Ohio State University, 1992. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487775034177871.

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Dickter, David Nathan. "The role of time orientation in decision-making under time pressure /". The Ohio State University, 1997. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487946103565876.

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Dickter, David N. "The role of time orientation in decision making under time pressure". Connect to resource, 1997. http://rave.ohiolink.edu/etdc/view.cgi?acc%5Fnum=osu1250528229.

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Marshall, Alyssa. "Toward a Model of Team Decision Making Under Stress". Honors in the Major Thesis, University of Central Florida, 2014. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/1621.

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Today’s organizations are increasingly relying on teams, rather than individuals, to complete tasks in the workplace. For some teams, these tasks require them to make high stakes decisions under stressful conditions. In military, medical, and emergency response fields, for example, workers are regularly asked to make decisions under high time pressure, uncertainty, and risk. The purpose of this study is to summarize previous team decision-making perspectives and create a model for team decision-making under stress. A literature review was conducted to examine the current state of team decision-making research. Several existing models of the team decision-making process were identified, representing multiple decision-making perspectives. Using this information, four primary characteristics of the team decision making process were identified. Team decision making appears to be multi-level, multi-phasic, dynamic, and cyclical process. An additional search examined the effects of stress on performance. Using this information and the characteristics outlined from the team decision making literature, a model was designed to describe the effects of stress on team decision making. This model offers several propositions regarding the effects of stress on specific cognitive and team processes and their relationship team decision making This study provides the theoretical basis for an empirical investigation of the relationship between stress and team decision making. This line of research has the potential to lead to practical solutions that may improve outcomes for workers in high stress occupations.
B.S.
Bachelors
Psychology
Sciences
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Stone, Thomas M. "Model development decisions under uncertainty in conceptual design". Thesis, Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44835.

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Model development decisions are an important feature of engineering design. The quality of simulation models often dictates the quality of design decisions, seeing as models guide decision makers (DM) in choosing design decisions. A quality model accurately represents the modeled system and is helpful for exploring what-if scenarios, optimizing design parameters, estimating design performance, and predicting the effect of design changes. However, obtaining a quality model comes at a cost in terms of model development--in experimentation, labor, model development time, and simulation time. Thus, DMs must make appropriate trade-offs when considering model development decisions. The primary challenge in model development is making decisions under significant uncertainty. This thesis addresses model development in the conceptual design phase where uncertainty levels are high. In the conceptual design phase, there are many information constraints which may include an incomplete requirements list, unclear design goals, and/or undefined resource constrains. During the embodiment design phase, the overall objective of the design is more clearly defined, and model development decisions can be made with respect to an overall objective function. For example, the objective may be to maximize profit, where the profit is a known function of the model output. In the conceptual design phase, this level of clarity is not always present, so the DM must make decisions under significant model uncertainty and objective uncertainty. In this thesis, conjoint analysis is employed to solicit the preferences of the decision maker for various model attributes, and the preferences are used to formulate a quasi-objective function during the conceptual design phase--where the overall design goals are vague. Epistemic uncertainty (i.e., imprecision) in model attributes is represented as intervals and propagated through the proposed model development framework. The model development framework is used to evaluate the best course of action (i.e., model development decision) for a real-world packaging design problem. The optimization of medical product packaging is assessed via mass spring damper models which predict contact forces experienced during shipping and handling. Novel testing techniques are employed to gather information from drop tests, and preliminary models are developed based on limited information. Imprecision in preliminary test results are quantified, and multiple model options are considered. Ultimately, this thesis presents a model development framework in which decision makers have systematic guidance for choosing optimal model development decisions.
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Lundström, Anton, e Hugo Andersson. "Nyckeln till self-efficacy : Beslutsfrihet, stress från föräldrar och optimism under sena tonåren". Thesis, Mälardalens högskola, Akademin för hälsa, vård och välfärd, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-28395.

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Enligt Bandura (1997) är self-efficacy tron på den egna förmågan att slutföra uppgifter och nå mål. Denna studie undersökte sambandet mellan upplevd beslutsfrihet under sena tonåren, upplevd stress från föräldrar under sena tonåren, upplevd optimism under sena tonåren och self-efficacy. Stickprovet på 133 studenter, varav 35 män och två av okänt kön skattade sina upplevelser och self-efficacy. En multipel hierarkisk regressionsanalys visade att self-efficacy korrelerade positivt med både beslutsfrihet och optimism vilket gav stöd för hypotes 1 och 3. Variationen i de oberoende variablerna och kontrollvariablerna kunde förklara 12% av variationen i self-efficacy. Sambandet mellan hög self-efficacy och hög upplevd grad av beslutsfrihet under sena tonåren förklarades som socialt stöd i form av tillit från föräldrarna. Sambandet mellan self-efficacy och upplevd grad av optimism under sena tonåren förklarades som att optimism ökar prestationen och chansen för framgångar. Studien föreslog att föräldrar bör ge sina tonåringar beslutsfrihet för att stärka self-efficacy.
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Hunt, Laurence T. "Modelling human decision under risk and uncertainty". Thesis, University of Oxford, 2011. http://ora.ox.ac.uk/objects/uuid:244ce799-7397-4698-8dac-c8ca5d0b3e28.

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Humans are unique in their ability to flexibly and rapidly adapt their behaviour and select courses of action that lead to future reward. Several ‘component processes’ must be implemented by the human brain in order to facilitate this behaviour. This thesis examines two such components; (i) the neural substrates supporting action selection during value- guided choice using magnetoencephalography (MEG), and (ii) learning the value of environmental stimuli and other people’s actions using functional magnetic resonance imaging (fMRI). In both situations, it is helpful to formally model the underlying component process, as this generates predictions of trial-to-trial variability in the signal from a brain region involved in its implementation. In the case of value-guided action selection, a biophysically realistic implementation of a drift diffusion model is used. Using this model, it is predicted that there are specific times and frequency bands at which correlates of value are seen. Firstly, there are correlates of the overall value of the two presented options, and secondly the difference in value between the options. Both correlates should be observed in the local field potential, which is closely related to the signal measured using MEG. Importantly, the content of these predictions is quite distinct from the function of the model circuit, which is to transform inputs relating to the value of each option into a categorical decision. In the case of social learning, the same reinforcement learning model is used to track both the value of two stimuli that the subject can choose between, and the advice of a confederate who is playing alongside them. As the confederate advice is actually delivered by a computer, it is possible to keep prediction error and learning rate terms for stimuli and advice orthogonal to one another, and so look for neural correlates of both social and non-social learning in the same fMRI data. Correlates of intentional inference are found in a network of brain regions previously implicated in social cognition, notably the dorsomedial prefrontal cortex, the right temporoparietal junction, and the anterior cingulate gyrus.
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Haddad, Marcel Adonis. "Nouveaux modèles robustes et probabilistes pour la localisation d'abris dans un contexte de feux de forêt". Electronic Thesis or Diss., Université Paris sciences et lettres, 2020. http://www.theses.fr/2020UPSLD021.

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A cause du réchauffement climatique, le nombre et l’intensité des feux de forêts augmentent autour du globe. Dansce contexte, la construction de refuges contre le feu est une solution de plus en plus envisagée. Le problème consisteessentiellement à localiser p refuges de sorte à minimiser la distance maximale qui sépare un usager du plus procherefuge accessible en cas de feux. Le territoire considéré est divisé en zones et est modélisé comme un graphe auxarêtes pondérées. Un départ de feux sur une seule zone (c’est-à-dire sur un sommet). La principale conséquence d’unfeu est que les chemins d’évacuation sont modifiés de deux manières. Premièrement, un chemin d’évacuation ne peutpas traverser le sommet en feu. Deuxièmement, le fait qu’une personne proche de l’incendie puisse avoir un choix limitéde direction d’évacuation, ou être sous stress, est modélisé à l’aide d’une stratégie d’évacuation nouvellement définie.Cette stratégie d’évacuation induit des distances d’évacuation particulières qui rendent notre modèle spécifique. Selon letype de données considéré et l’objectif recherché, nous proposons deux problèmes avec ce modèle: le Robust p-CenterUnder Pressure et le Probabilistic p-Center Under Pressure. Nous prouvons que ces deux problèmes sont NP-difficilessur des classes de graphes pertinentes pour notre contexte. Nous proposons également des résultats d’approximationet d’inapproximation. Finalement, nous développons des algorithmes polynomiaux sur des classes de graphes simples,et nous développons des algorithmes mathématiques basés sur la programmation linéaire
The location of shelters in different areas threatened by wildfires is one of the possible ways to reduce fatalities in acontext of an increasing number of catastrophic and severe forest fires. The problem is basically to locate p sheltersminimizing the maximum distance people will have to cover to reach the closest accessible shelter in case of fire. Thelandscape is divided in zones and is modeled as an edge-weighted graph with vertices corresponding to zones andedges corresponding to direct connections between two adjacent zones. Each scenario corresponds to a fire outbreak ona single zone (i.e., on a vertex) with the main consequence of modifying evacuation paths in two ways. First, an evacuationpath cannot pass through the vertex on fire. Second, the fact that someone close to the fire may have limited choice, ormay not take rational decisions, when selecting a direction to escape is modeled using a new kind of evacuation strategy.This evacuation strategy, called Under Pressure, induces particular evacuation distances which render our model specific.We propose two problems with this model: the Robust p-Center Under Pressure problem and the Probabilistic p-CenterUnder Pressure problem. First we prove hardness results for both problems on relevant classes of graphs for our context.In addition, we propose polynomial exact algorithms on simple classes of graphs and we develop mathematical algorithmsbased on integer linear programming

Libri sul tema "Under pressure decision model":

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Sciarini, Pascal. Political decision-making in Switzerland: The consensus model under pressure. New York, NY: Palgrave Macmillan, 2015.

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Careja, Romana, Patrick Emmenegger e Nathalie Giger, a cura di. The European Social Model under Pressure. Wiesbaden: Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-27043-8.

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Robinson, P. Stuart. The politics of international crisis escalation: Decision-making under pressure. London: Tauris Academic Studies, 1996.

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Sharps, Matthew Joseph. Processing under pressure: Stress, memory, and decision-making in law enforcement. Flushing, NY: Looseleaf Law Publications, 2010.

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Sharps, Matthew Joseph. Processing under pressure: Stress, memory, and decision-making in law enforcement. Flushing, NY: Looseleaf Law Publications, 2010.

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Sharps, Matthew Joseph. Processing under pressure: Stress, memory, and decision-making in law enforcement. Flushing, NY: Looseleaf Law Publications, 2010.

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Sharps, Matthew Joseph. Processing under pressure: Stress, memory, and decision-making in law enforcement. Flushing, NY: Looseleaf Law Publications, 2010.

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Svensson, Lars E. O. Bayesian and adaptive optimal policy under model uncertainty. Cambridge, Mass: National Bureau of Economic Research, 2007.

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Maddox, Dub. From headset to helmet: Coaching the R4 expert system ; accelerating quarterback-decision making under pressure. Apopka, FL: NewBookPublishing.com, a division of Reliance Media, Inc., 2011.

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Weisinger, Hendrie. Performing under pressure: The science of doing your best when it matters most. New York: Crown Business, 2015.

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Capitoli di libri sul tema "Under pressure decision model":

1

Alder, David B., Joe Causer e Jamie Poolton. "Training under pressure". In Anticipation and Decision Making in Sport, 359–74. New York, NY: Routledge, 2019.: Routledge, 2019. http://dx.doi.org/10.4324/9781315146270-20.

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Wilby, Robert L. "Stress-Testing Adaptation Options". In Springer Climate, 41–49. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-86211-4_6.

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AbstractThis technical contribution discusses ways of testing the performance of adaptation projects despite uncertainty about climate change. Robust decision making frameworks are recommended for evaluating project performance under a range of credible scenarios. Stress-testing options help to establish conditions under which there may be trade-offs between or even failure of project deliverables. Stress-tests may be undertaken for specified portfolios of management options, using models of the system being managed (including inputs and drivers of change), and then assessed against decision-relevant performance indicators with agreed options appraisal criteria. Field experiments and model simulations can be designed to test costs and benefits of adaptation measures. Simple rules may help to operationalize the findings of trials—such as ‘plant 1 km of trees along a headwater stream to cool summer water temperatures by 1 °C’. However, insights gained from field-based adaptation stress-testing are limited by the conditions experienced during the observation period. These may not be severe enough to represent extreme weather in the future. Model simulations overcome this constraint by applying credible climate changes within the virtual worlds of system models. Nonetheless, care must be taken to select meaningful change metrics and to represent plausible changes in boundary conditions for climate and non-climate pressures. All stress-testing should be accompanied by monitoring, evaluation and learning to benchmark benefits and confirm that expected outcomes are achieved.
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Saito, Kiyoko, David E. Rumelhart e Kazuo Shigemasu. "Decision Making Under Time Pressure". In Proceedings of the Twentieth Annual Conference of the Cognitive Science Society, 911–16. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781315782416-165.

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Bayram, Alper, e Antonino Marvuglia. "A Web-Based Dashboard for Estimating the Economic and Ecological Impacts of Land Use Class Changes for Key Land Patches". In Computational Science and Its Applications – ICCSA 2022 Workshops, 281–93. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10545-6_20.

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AbstractThe increasing pressure on land coming from the raising needs of a fast-growing population puts public and private landowners and decision makers in front of difficult choices concerning the best use of limited land resources. On one hand, agricultural land and grassland need to be used to support human food requirements. On the other hand, these land uses create trade-offs with other ecosystem functions, assets and services, such as ecological connectivity, biodiversity and natural habitat maintenance. In this paper a prototype web-based dashboard is presented, that aims at allowing a fully-fledged calculation of the economic and environmental trade-offs between different land uses of any land patch (excluding urban areas and infrastructures) and in the Grand Duchy of Luxembourg. An agent-based model (ABM) coupled with life-cycle assessment (LCA) runs on the background of the dashboard. The coupled model allows the simulation of the farm business and the calculation of the revenues made by farmers in every land patch under different farm management scenarios. Crossing the information coming from the model with other tools would also allow to integrate local environmental trade-offs, such as degradation of local habitats or ecological connectivity, and not only global ones defined in a non-spatialized way. The dashboard has a potentially high value to inform policy, strategies, or specific actions (e.g., environmental stewardship programs that integrate economic convenience as a condition) and has the necessary flexibility to integrate new aspects related to territorial analyses as they become available.
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Edland, Anne, e Ola Svenson. "Judgment and Decision Making Under Time Pressure". In Time Pressure and Stress in Human Judgment and Decision Making, 27–40. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4757-6846-6_2.

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Moens, Alexander. "Decision Making and the Multiple Advocacy Model". In Foreign Policy Under Carter, 5–33. New York: Routledge, 2021. http://dx.doi.org/10.4324/9780429045592-2.

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Sowell, Jesse. "A Conceptual Model of Planned Adaptation (PA)". In Decision Making under Deep Uncertainty, 289–320. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05252-2_13.

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8

Stiensmeier-Pelster, Joachim, e Martin Schürmann. "Information Processing in Decision Making under Time Pressure". In Time Pressure and Stress in Human Judgment and Decision Making, 241–53. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4757-6846-6_16.

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Careja, Romana, Patrick Emmenegger e Nathalie Giger. "The European social model under pressure: Introduction". In The European Social Model under Pressure, 1–11. Wiesbaden: Springer Fachmedien Wiesbaden, 2019. http://dx.doi.org/10.1007/978-3-658-27043-8_1.

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Kersten, G. E., e T. Szapiro. "A Redescription of a Negotiating Problem with Decision-Makers Under Pressure". In Theory and Decision Library, 177–94. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-4021-5_12.

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Atti di convegni sul tema "Under pressure decision model":

1

Tang, Jun, e Young Ho Park. "Fatigue Reliability Based Optimal Replacement Decision of Mechanical Components". In ASME/JSME 2004 Pressure Vessels and Piping Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/pvp2004-2762.

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This paper introduces a maintenance decision-making strategy in the general area of replacement and reliability of mechanical components. The decision-making strategy involves the optimization of replacement interval based on fatigue failure of mechanical components. This new approach is based on the cumulative damage distribution function for evaluating mean fatigue life. By using the approach, the analytical expressions for the mean and the variance of the cumulative damage distribution under both stationary narrow-band and stationary wide-band random process are provided. The mean value and variance of the fatigue life distribution are thus evaluated to determine the optimal replacement intervals under fatigue failure. An algorithm of evaluating the mean and standard deviation of fatigue life is also presented. Therefore, the reliability of a component under random cyclic loading for a specified duration is quantified accordingly. Even though the new method introduces a great deal of complexity in the analytical models, this method can efficiently determine replacement intervals for component whose operating costs increases with use and replacement intervals for component subject to failure induced by the random process. An example is presented to demonstrate the application of the present method.
2

Moonn, Ho-Rim, Changheui Jang, Jun-Hyun Park, Ill-Seok Jeong e Tae-Ryong Kim. "An Economic Assessment Methodology for Replacement of the Components of Nuclear Power Plant". In ASME 2002 Pressure Vessels and Piping Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/pvp2002-1379.

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Generally, the economic assessments of the major component replacements of nuclear power plants (NPPs) have been carried out in deterministic ways. However, the deterministic assessments had difficulty in treating the input variables with uncertainties, and could result in erroneous decision. A method based on the probability theory would be a proper alternative to take into account the uncertainties in real world much precisely. In this paper, an economic assessment for replacement of an NPP component has been performed through the decision analysis adopting the probability theory. The major factors of the decision analysis are the selected alternative among various options, the results brought about from the selection, and the relative priority of the certain alternative compared to the others. A significant advantage of the decision analysis lies in processing the uncertainties and risks. The model of decision analysis could be built with influence diagrams and decision trees. In this paper, the optimal time of replacing “A” type of steam generator (SG) was determined using the decision analysis methodology. This methodology can be applied to the economic evaluations for replacements of major components of NPPs under the free competition of Korean power market of in the future.
3

Van Noort, Roger, Paul Spriggs e Leo Arseneault. "Influx Management Decision Tree for Deep Water Managed Pressure Drilling Operations with a Below Tension Ring Surface Back Pressure System". In IADC/SPE International Drilling Conference and Exhibition. SPE, 2022. http://dx.doi.org/10.2118/208717-ms.

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Abstract Managed Pressure Drilling (MPD) in Surface Back Pressure (SBP) mode can recover from an influx efficiently if well conditions, MPD system capabilities and recovery procedures are understood and executed accordingly. A considerable number of operational and contingency procedures are required to execute MPD on a deepwater rig. The Driller remains responsible for well safety and he/she must work with the MPD Operator to conduct these procedures expediently to remain within the agreed MPD operational envelope. Changes in conditions, especially when an influx is detected, requires an immediate and correct response between the Driller and MPD Operator. It can be challenging to have multipage procedures for rig floor personnel to react to an influx. By the time the procedure is referenced, the influx may have exceeded the agreed MPD Operations Matrix’ limits. This paper's authors have developed a concise decision tree to better enable the Driller and MPD Operator's response to a potential influx. Certain steps need to be taken quickly by both members to limit influx size and stay within the agreed MPD Operations Matrix. Depending on influx size, water depth and well depth, further decisions may need to be taken to either circulate the influx up the riser or perform a MPD assisted shut in. The aid that has been developed and implemented on a recent deepwater well, is the MPD Influx Management Decision Tree (IMDT). The IMDT is a single page, graphical representation of a multipage procedure normally written for influx management in MPD operations. Using decision tree logic shapes, as well as an assigned color scheme, the Driller and MPD Operator can quickly navigate the MPD influx management procedure to bring the well under control. The IMDT: Prescribes who does what action and in what sequence. Is consistent with the MPD Operations Matrix color scheme (yellow, red). Illustrates decision points to be made by the Driller / MPD Operator as they execute the procedure. IMDT specific content may vary from project to project. The value of IMDT is in how the agreed steps are clearly, concisely and logically conveyed to the Driller and MPD Operator. The one-page format means both the Driller and MPD Operator can have it readily available should it be required.
4

Taher, Bilal, Rafic Youne`s e Said Abboudi. "Numerical Analysis of Thermomechanical Behavior of a Multimaterial Under Thermal Cycling Conditions". In ASME 2006 Pressure Vessels and Piping/ICPVT-11 Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/pvp2006-icpvt-11-93495.

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The increasing need of structures having multiple functions orientates designers to combine materials in order to obtain, according to coupling scales, multi-materials structures. The lifetime of these structures represents the essential decisive element for study offices and manufacturers. The results of this work should add to the set of functional charges and constraints of resistance, the improvement of the lifetime as an objective to optimize a multi-material. In this study, we propose a numerical analysis by the finite elements method of the thermo mechanical behavior of these materials and their damage under thermal cyclic solicitations. The sample is a two-dimensional plate constituted of two different isotropic layers (steel, aluminum) submitted to variable thermal conditions (heat flux condition on one side and convection exchange condition on the opposite side). The sample is supposed to be fixed in one direction and free in the other. The damage model is based on the works of Lemaiˆtre and Chaboche [8]. Numerical results are presented for different forms of heat flux cycling (triangular, square and sinusoidal excitations) with a comparison of the multi-material damage for each excitation. The study is concluded by an empirical optimizing of the thickness of materials according to the total lifetime caused by thermo-mechanical effect.
5

Yoshimura, Shinobu, Kazuo Furuta, Yoshihiro Isobe, Mitsuyuki Sagisaka, Michiyasu Noda, Tetsuya Wada e Hiroshi Akiba. "Maintenance Optimization of LWRs Based on PFM Analysis". In ASME 2006 Pressure Vessels and Piping/ICPVT-11 Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/pvp2006-icpvt-11-93619.

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We have been developing an integrated simulator for the maintenance optimization of LWRs (Light Water Reactors) based on PFM (Probabilistic Fracture Mechanics). As a typical example of the analysis, .an attempt was made to develop an economic evaluation model for the purpose of optimizing the maintenance activities of SG tubes in PWRs based on PFM approach, In the model, the probabilities of these risks were evaluated first and then the risk-benefit analysis was carried out to evaluate costs and profits as well during 60 years lifetime under various maintenance strategies. The model would be applied to pipes which are critical in terms of safety, availability and economy. The concept of the simulator is to provide a method to optimize maintenance activities for representative components and piping systems in nuclear power plants totally and quantitatively in terms of safety, availability and economic efficiency (both from cost and profit). The simulator will also provide a guideline regarding social acceptance of risk-based decision makings. This study has been conducted under “Innovative and Viable Nuclear Energy Technology (IVNET) Development Project” financially supported by Japanese METI.
6

GHIBERDIC, Marius-Florin, e Răzvan-Cătălin DOBREA. "LEARNING UNDER PRESSURE: THE DYNAMICS OF ADAPTATION AND TRANSFORMATION IN THE CONTEXT OF CRISIS MANAGEMENT". In INTERNATIONAL MANAGEMENT CONFERENCE. Editura ASE, 2024. http://dx.doi.org/10.24818/imc/2023/02.16.

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In an ever-changing world of threats and vulnerabilities, crisis management actors must continuously learn to adapt and transform their response capabilities. The most important challenge lies in the duality of the crisis management system, which is a system for planning between crises as well as a system for responding during crises. In this context, it is necessary to identify a model that allows understanding how systems subject to crisis conditions learn to adapt and transform. Such a model is used to improve understanding of the dynamics of learning and changing crisis management systems. Despite the fact that the global response to the COVID-19 pandemic has rapidly developed countermeasures, mainly of a medical nature, it has failed to ensure the resilience of health systems and economies, with the total human and economic cost still being felt. Based on this reality, our objective is to identify, through concrete examples, how we should learn from these shortcomings, i.e., how to implement more inclusive and equitable frameworks to prevent and respond to crises (health crises in this case). Taking measures to rebuild public and investor confidence in resilient local productive capacity, supply chains, regulatory frameworks, etc. and putting the voices of crisis managers at the heart of decision-making can help ensure preparedness for future threats. So, it's time to move beyond just talking about learning under pressure and implementing lessons and instead act consciously for a more resilient future.
7

Yoshida, Nobuyuki, e Atsushi Yamaguchi. "Effect of Thickness Measurement Procedure on Stress Analysis of Pipes With Local Metal Loss". In ASME 2013 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/pvp2013-97228.

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Fitness-For-Service (FFS) assessment using Finite Element Analysis (FEA) has been a problem in deciding yes-no which vary from evaluator to evaluator. The difference in decision making is caused by the degree of freedom in modeling a FEA model. In this study, burst pressures of pipes with local metal loss were calculated by using FEA in order to investigate the influence of thickness measurement intervals on FFS assessment. The analyzed pressures by FEA were verified by burst tests. A pipe specimen, which was thinned by corrosion under insulation in the actual plant, was used for the burst tests. Shape of the pipe specimen was measured by laser displacement meter and extracted at several types of interval. It is concluded that the analyzed pressures in various measurement intervals showed almost no difference, but were higher than the actual burst pressure of the specimen.
8

Colombo, Chiara, Stefano Monti, Mario Guagliano, Laura Vergani, Emanuele Fiordaligi e Fausto Fusari. "Numerical and Experimental Residual Stresses of Different Welded Joint Configurations in Heavy Wall". In ASME 2020 Pressure Vessels & Piping Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/pvp2020-21495.

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Abstract Refinery equipment subjected to high pressure is commonly made of Vanadium high strength steels (2¼Cr1Mo¼V), characterized by high allowable stress and low toughness in the as welded condition, leading to potential wall cracking before the application of thermal treatments. Therefore, the decision to perform specific thermal treatments after welding is of paramount importance. These thermal treatments, which are quite expensive and time demanding for the manufacturer, are still under discussion and not supported by evident scientific findings. The paper presents a numerical and experimental study on a plate-to-plate weld and on a nozzle-to-plate weld, created as ad-hoc mock-ups. Experimental residual stresses are collected by an X-ray diffractometer in the as welded configurations. These values are used to validate a complex 3D numerical model, implemented with the finite element software Abaqus and its AWI plugin. Finally, this validated model allows for the identification of joint criticality through two parameters: the volume of plasticized material per unit of welded length and the strain-based assessment according with ASME code. Their application as tools to compare the criticality of different welded geometries and the effect of thermal treatments on the residual stress field are discussed.
9

Shinde, Rutuja M., Manga Manga, Neha Muthavarapu, Keerthy Gopalakrishnan, Christopher A. Aakre, Alexander J. Ryu e Shivaram P. Arunachalam. "BLOOD PRESSURE PREDICTION FROM PHOTOPLETHYSMOGRAM SIGNAL USING ARTIFICIAL INTELLIGENCE". In 2023 Design of Medical Devices Conference. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/dmd2023-2769.

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Abstract Blood pressure measurement in current medical practice relies on manual methods with the most widely used modality being sphygmomanometers. Utilizing the principle of Photoplethysmography, it is possible to provide an accurate reading of one’s blood pressure through light signals and photodetector devices. This research paper introduces a new Artificial Intelligence driven approach to predict Blood pressure levels and classify them according to the updated ACC (American College of Cardiology) criteria as Normal, Elevated, Stage I, and II Hypertension from the given PPG signal values using Machine Learning Models. This research paper aims to accurately read the Systolic and Diastolic Blood Pressure using Artificial Intelligence, place them into the correct value bins and further prove that the blood pressure values differ based on different skin tones in different light wavelengths such as red, infrared, and green. Machine Learning models such as the Support Vector Machine have shown an accuracy of 70.58% for Systolic Blood Pressure and Decision Tree with an accuracy of 74.4% for Diastolic Blood Pressure classification. The models used in this research are Support Vector Machine, Decision Tree and K-Nearest Neighbor. This research study has future applications and extensions to predict blood pressure levels for patients with different skin tones under different light radiations and PPG signal readings. Neural Network models will be developed to compare the blood predictions from this work.
10

Nakamura, Izumi, Akihito Otani, Tadahiro Shibutani, Masaki Morishita e Masaki Shiratori. "Findings From the Benchmark Analyses on an Elbow In-Plane Bending Test and a Piping System Test". In ASME 2016 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/pvp2016-63419.

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For introducing the elastic-plastic behavior effect in the seismic safety estimation of nuclear piping systems, benchmark analyses on a static in-plane bending test on an elbow (the pipe element test) and a piping system test under one-directional excitation (the piping system test) were conducted. As for the benchmark analyses on the pipe element test, 14 groups participated in the benchmark analysis. The variation of the elastic-plastic analyses and the factors which affect the analytical results are examined by comparing the analytical results with the experimental results. From the examination of analytical results, it is shown that the decision of the yield stress for the analysis rather than the secondary gradient affects a lot on the load deflection curve or the strain behavior, when the stress-strain relationship is simulated by bi-linear approximation. The strain ranges are well simulated by the analyses, though the residual strains scatter a lot. The failure mode in the experiment was the fatigue failure at the flank of the elbow, and it was well predicted by the participants’ analyses. As for the benchmark analyses on the piping system test, ten groups participated in the benchmark analysis. The eigenvalue analyses are well estimated by the all participants, but the dynamic response and strain behavior of pipes under random input waves vary widely. The findings from the benchmark analyses would be reflected to the inelastic analysis guideline for the seismic safety estimation of nuclear piping systems under beyond design seismic input.

Rapporti di organizzazioni sul tema "Under pressure decision model":

1

Verghese, Preeti. A Model for Visual Decision Making Under Time Pressure. Fort Belvoir, VA: Defense Technical Information Center, settembre 2009. http://dx.doi.org/10.21236/ada567154.

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2

Sukach, Mykhailo. Crevice cutting model under geostatic pressure. PІDVODNІ TEHNOLOGІЇ, giugno 2019. http://dx.doi.org/10.31493/uwt1909.1301.

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3

Tipton, Emma, e Keith Seitter. Actionable Scientific Assessments for the Energy Sector. American Meteorological Society, ottobre 2022. http://dx.doi.org/10.1175/energy-sector-assessment-2022.

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Abstract (sommario):
There is an innate and critical relationship between energy and weather, water, and climate. As the deployment of renewable energy, particularly wind and solar energy, increases, so too does dependence on weather and weather variability. Understanding, accounting for, and communicating weather and climate variables is therefore critical for the planning and optimization of the energy system. This puts increasing pressure on the scientific community, and particularly those working on the weather and climate aspects of renewables, to provide the right information to meet the key decision-making needs of the energy sector. This study is the second of two pilot projects on the provision of actionable information for decision-making through the tailored and targeted assessment of weather and climate science. This study confirmed that excellent progress is being made on a variety of fronts associated with renewable energy, which is critically important as we move to increase use of renewables. A consistent theme in the discussions under this study, however, is the need to bring together many disparate types of data, modeling, and analyses toward convergent tools that adequately address the complex interconnectedness of a national power system built on renewable sources. In many ways, the most significant finding of this study is the need for major convergence research efforts to build the necessary historical reanalysis datasets, integrated weather-energy forecast models, and policy and regulatory frameworks that can leverage current disciplinary research efforts.
4

Willits, Daniel H., Meir Teitel, Josef Tanny, Mary M. Peet, Shabtai Cohen e Eli Matan. Comparing the performance of naturally ventilated and fan-ventilated greenhouses. United States Department of Agriculture, marzo 2006. http://dx.doi.org/10.32747/2006.7586542.bard.

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The objectives of this project were to predict the performance of naturally and fan-ventilated greenhouses as a function of climate, type of crop, evaporative cooling and greenhouse size, and to estimate the effects of the two cooling systems on yield, quality and disease development in the different crops under study. Background In the competitive field of greenhouse cultivation, growers and designers in both the US and Israel are repeatedly forced to choose between naturally ventilated (NV) and fan ventilated (FV) cooling systems as they expand their ranges in an effort to remain profitable. The known advantages and disadvantages of each system do not presently allow a clear decision. Whether essentially zero operating costs can offset the less dependable cooling of natural ventilation systems is question this report hopes to answer. Major Conclusions US It was concluded very early on that FV greenhouses without evaporative pad cooling are not competitive with NV greenhouses during hot weather. During the first year, the US team found that average air temperatures were always higher in the FV houses, compared to the NV houses, when evaporative pad cooling was not used, regardless of ventilation rate in the FV houses or the vent configuration in the NV houses. Canopy temperatures were also higher in the FV ventilated houses when three vents were used in the NV houses. A second major conclusion was that the US team found that low pressure fogging (4 atm) in NV houses does not completely offset the advantage of evaporative pad cooling in FV houses. High pressure fog (65 atm) is more effective, but considerably more expensive. Israel Experiments were done with roses in the years 2003-2005 and with tomatoes in 2005. Three modes of natural ventilation (roof, side and side + roof openings) were compared with a fan-ventilated (with evaporative cooling) house. It was shown that under common practice of fan ventilation, during summer, the ventilation rate is usually lower with NV than with FV. The microclimate under both NV and FV was not homogeneous. In both treatments there were strong gradients in temperature and humidity in the vertical direction. In addition, there were gradients that developed in horizontal planes in a direction parallel to the direction of the prevailing air velocity within the greenhouse. The gradients in the horizontal direction appear to be larger with FV than with NV. The ratio between sensible and latent heat fluxes (Bowen ratio) was found to be dependent considerably on whether NV or FV is applied. This ratio was generally negative in the naturally ventilated house (about -0.14) and positive in the fan ventilated one (about 0.19). Theoretical models based on Penman-Monteith equation were used to predict the interior air and crop temperatures and the transpiration rate with NV. Good agreement between the model and experimental results was obtained with regard to the air temperature and transpiration with side and side + roof ventilation. However, the agreement was poor with only roof ventilation. The yield (number of rose stems longer than 40 cm) was higher with FV
5

Harley, S., e J. Lewicki. A Fundamental Investigation on the Structural Dynamics of Model Siloxane Networks under Extreme Pressure. Office of Scientific and Technical Information (OSTI), aprile 2013. http://dx.doi.org/10.2172/1097752.

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Mackenzie, Colin F. Development and Enhancement of a Model of Performance and Decision Making Under Stress in a Real Life Setting. Fort Belvoir, VA: Defense Technical Information Center, settembre 1994. http://dx.doi.org/10.21236/ada285945.

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Mackenzie, Colin F. Development and Enhancement of a Model of Performance and Decision Making Under Stress in a Real Life Setting. Fort Belvoir, VA: Defense Technical Information Center, agosto 1992. http://dx.doi.org/10.21236/ada255129.

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Mackenzie, Colin F. Development and Enhancement of a Model of Performance and Decision Making Under Stress in a Real Life Setting. Fort Belvoir, VA: Defense Technical Information Center, maggio 1992. http://dx.doi.org/10.21236/ada255699.

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Mackenzie, Colin F. Development and Enhancement of a Model of Performance and Decision Making Under Stress in a Real Life Setting. Fort Belvoir, VA: Defense Technical Information Center, febbraio 1993. http://dx.doi.org/10.21236/ada261458.

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Mackenzie, Colin F. Development and Enhancement of a Model of Performance and Decision Making Under Stress in a Real Life Setting. Fort Belvoir, VA: Defense Technical Information Center, novembre 1993. http://dx.doi.org/10.21236/ada273441.

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