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Articles de revues sur le sujet « Decisional models »

Auteur : Grafiati

Publié le 9 mars 2023

Mis à jour le 31 juillet 2025

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T., S. Aimé Metchebon, Valérie Brison, and Marc Pirlot. "Two models for comparing decisional maps." International Journal of Multicriteria Decision Making 3, no. 2/3 (2013): 129. http://dx.doi.org/10.1504/ijmcdm.2013.053730.

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Pierre, Jean-Sébastien. "Ecological forecasting models: Accuracy versus decisional quality." Ecological Modelling 482 (August 2023): 110392. http://dx.doi.org/10.1016/j.ecolmodel.2023.110392.

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Ferrarese, Moreno. "Decisional processing on parking behavior in entropic settings." Archives of Transport 41, no. 1 (2017): 17–29. http://dx.doi.org/10.5604/01.3001.0009.7377.

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This paper surveys the most recent advances in the context of decisional processing with focusing on the parking behavior in entropic settings, including the measures and the necessary mechanisms for the interaction of the actors-players, and their connection to decisional processing theory. The aim of this article is to provide a critical review of the most fashionable models and methods in parking lot financial design: the first class of methods covers the approach of analysis with the random entropic model; the second class of methods is the decisional processing through rational choice mod

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Dewald, Samantha Rose, Loki Natarajan, and Irene Su. "Fertility preservation and decisional regret in young breast cancer survivors: A longitudinal analysis." Journal of Clinical Oncology 35, no. 5_suppl (2017): 106. http://dx.doi.org/10.1200/jco.2017.35.5_suppl.106.

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106 Background: Fertility is important to many young breast cancer survivors (YBCS), who face difficult decisions on whether to undergo fertility preservation prior to treatment. Because few longitudinal data assessing decisional regret are available, the objectives of this study were to assess longitudinal changes in decisional regret on fertility preservation following breast cancer diagnosis; determine if fertility preservation treatment decisions are related to decreased decisional regret. Methods: From 3 academic breast cancer programs, 169 YBCS younger than age 45 were recruited at diagn

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Neufeld, Richard W. J. "“Locus of Control, Sensation Seeking, and Mathematical Models of Stress and Decisional Control: Comment on De Brabander and Hellemans”." Psychological Reports 81, no. 3_suppl (1997): 1289–90. http://dx.doi.org/10.2466/pr0.1997.81.3f.1289.

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In a recent study, De Brabander and Hellemans (1996) reported that stress (somatic complaints) was inversely related to scores on personality scales of “thrill-and-adventure sensation seeking” and “internal locus of control.” These observations, useful in their own right, are of further value when examined in the light of mathematical models of stress and decisional control. It is suggested that diminished stress associated with higher scores on these scales may result from increased engagement and reduced aversiveness of cognitive demands mediating reduction of threat under conditions of deci

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Marcus, Bess H., Bernardine M. Pinto, Laurey R. Simkin, Janet E. Audrain, and Elaine R. Taylor. "Application of Theoretical Models to Exercise Behavior among Employed Women." American Journal of Health Promotion 9, no. 1 (1994): 49–55. http://dx.doi.org/10.4278/0890-1171-9.1.49.

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Purpose. This study examines the utility of three theoretical models—the stages of change model, self-efficacy theory, and the decisional balance model—in understanding exercise behavior among employed women. Design. Data for this cross-sectional study were collected as part of a routine follow-up of a worksite-based smoking and health risk appraisal study. Setting. The study was conducted in three Rhode Island worksites, including one manufacturing company, one medical center, and one retail outlet. Subjects. Of a sample of 431 women who completed exercise questionnaires, 293 reported partici

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Tricou, Colombe, Sriram Yennu, Murielle Ruer, Eduardo Bruera, and Marilène Filbet. "Decisional control preferences of patients with advanced cancer receiving palliative care." Palliative and Supportive Care 16, no. 5 (2017): 544–51. http://dx.doi.org/10.1017/s1478951517000803.

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ABSTRACTObjective:Understanding patients' decisional control preferences (DCPs) is important to improving the quality of care and the satisfaction of patients who have advanced cancer with their care. In addition to passive decisional control (i.e., the patient prefers his/her doctor or family caregiver to make a decision on their behalf) and active decisional control (i.e., the patient decides alone), shared decisional control, where patients and caregivers decide together, could be more appropriate. The primary aim of our study was to describe the decision-making process and the DCPs of pati

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Anguzu, R., R. Cusatis, N. Fergestrom, et al. "Decisional conflict among couples seeking specialty treatment for infertility in the USA: a longitudinal exploratory study." Human Reproduction 35, no. 3 (2020): 573–82. http://dx.doi.org/10.1093/humrep/dez292.

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Abstract STUDY QUESTION What are couples’ decisional conflicts around family-building approaches before and after seeking a specialty consultation for infertility? SUMMARY ANSWER Decisional conflict is high among couples before an initial specialty consultation for infertility; on average, women resolved decisional conflict more quickly than men. WHAT IS KNOWN ALREADY Couples have multiple options for addressing infertility, and decisional conflict may arise due to lack of information, uncertainty about options and potential risks or challenges to personal values. STUDY DESIGN, SIZE, DURATION

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Witteman, Holly O., Anne-Sophie Julien, Ruth Ndjaboue, et al. "What Helps People Make Values-Congruent Medical Decisions? Eleven Strategies Tested across 6 Studies." Medical Decision Making 40, no. 3 (2020): 266–78. http://dx.doi.org/10.1177/0272989x20904955.

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Background. High-quality health decisions are often defined as those that are both evidence informed and values congruent. A values-congruent decision aligns with what matters to those most affected by the decision. Values clarification methods are intended to support values-congruent decisions, but their effects on values congruence are rarely evaluated. Methods. We tested 11 strategies, including the 3 most commonly used values clarification methods, across 6 between-subjects online randomized experiments in demographically diverse US populations ( n1 = 1346, n2 = 456, n3 = 840, n4 = 1178, n

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Grangel, Reyes, Michel Bigand, and Jean-Pierre Bourey. "Transformation of decisional models into UML: application to GRAI grids." International Journal of Computer Integrated Manufacturing 23, no. 7 (2010): 655–72. http://dx.doi.org/10.1080/09511921003767563.

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Plesca, Cezar, Vincent Charvillat, and Romulus Grigoras. "Adapting Content Delivery to Limited Resources and Inferred User Interest." International Journal of Digital Multimedia Broadcasting 2008 (2008): 1–13. http://dx.doi.org/10.1155/2008/171385.

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This paper discusses adaptation policies for information systems that are subject to dynamic and stochastic contexts such as mobile access to multimedia web sites. In our approach, adaptation agents apply sequential decisional policies under uncertainty. We focus on the modeling of such decisional processes depending on whether the context is fully or partially observable. Our case study is a movie browsing service in a mobile environment that we model by using Markov decision processes (MDPs) and partially observable MDP (POMDP). We derive adaptation policies for this service, that take into

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Genga, Laura, Luca Allodi, and Nicola Zannone. "Association Rule Mining Meets Regression Analysis: An Automated Approach to Unveil Systematic Biases in Decision-Making Processes." Journal of Cybersecurity and Privacy 2, no. 1 (2022): 191–219. http://dx.doi.org/10.3390/jcp2010011.

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Decisional processes are at the basis of most businesses in several application domains. However, they are often not fully transparent and can be affected by human or algorithmic biases that may lead to systematically incorrect or unfair outcomes. In this work, we propose an approach for unveiling biases in decisional processes, which leverages association rule mining for systematic hypothesis generation and regression analysis for model selection and recommendation extraction. In particular, we use rule mining to elicit candidate hypotheses of bias from the observational data of the process.

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Mróz, Justyna, Loren Toussaint, and Kinga Kaleta. "Association between Religiosity and Forgiveness: Testing a Moderated Mediation Model of Self-Compassion and Adverse Childhood Experiences." Religions 15, no. 9 (2024): 1137. http://dx.doi.org/10.3390/rel15091137.

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(1) Background: Forgiveness is one way to deal with negative experiences. The protective–protective model and the resource-caravan model assume that positive resources come together and support coping. In this study, we tested the association of religiosity, decisional and emotional forgiveness, and the indirect associations running through self-compassion. In addition, negative experiences in childhood were considered as a moderator of the indirect model of associations. (2) Methods: The sample consisted of 309 participants. The measures included the Religious Meaning System Questionnaire, th

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Casula, Mattia. "Who governs in (local) governance? Theoretical considerations and empirical evidence." Revista de Administração Pública 51, no. 6 (2017): 1121–38. http://dx.doi.org/10.1590/0034-7612161618.

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Abstract This article aims to discuss the possible actors that can determine public policies, and the influence of new decisional arenas on politics. This theoretical work presents the evolution of different models of producing public policies, to the transformations taking place with the adoption of the governance model. Using empirical evidence from the Italian case, the study of new decisional arenas for the determination of public policies shows that there are still several problems to be addressed. Such problems are connected, above all, with the uncertain democratic nature of these arena

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Grangel, Reyes, Michel Bigand, and Jean-Pierre Bourey. "UML Profiles for Transforming GRAI Decisional Models into UML Use Cases." IFAC Proceedings Volumes 42, no. 4 (2009): 900–905. http://dx.doi.org/10.3182/20090603-3-ru-2001.0213.

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Costa, Luís, Miguel F. Gago, Darya Yelshyna, et al. "Application of Machine Learning in Postural Control Kinematics for the Diagnosis of Alzheimer’s Disease." Computational Intelligence and Neuroscience 2016 (2016): 1–15. http://dx.doi.org/10.1155/2016/3891253.

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The use of wearable devices to study gait and postural control is a growing field on neurodegenerative disorders such as Alzheimer’s disease (AD). In this paper, we investigate if machine-learning classifiers offer the discriminative power for the diagnosis of AD based on postural control kinematics. We compared Support Vector Machines (SVMs), Multiple Layer Perceptrons (MLPs), Radial Basis Function Neural Networks (RBNs), and Deep Belief Networks (DBNs) on 72 participants (36 AD patients and 36 healthy subjects) exposed to seven increasingly difficult postural tasks. The decisional space was

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Cherven, Brooke, Nataliya V. Ivankova, Jessica B. Spencer, et al. "Examining decisional needs and contextual factors influencing fertility status assessment among young female survivors of childhood cancer: A sequential mixed methods study protocol." PLOS ONE 18, no. 6 (2023): e0286511. http://dx.doi.org/10.1371/journal.pone.0286511.

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Introduction Female cancer survivors who received gonadotoxic cancer treatment are at risk for profound diminished ovarian reserve and/or primary ovarian insufficiency with resulting infertility, which can be associated with distress and decreased quality of life.. Despite prioritizing future parenthood, many survivors are unsure of the impact of their treatment on their future fertility, and little is known about the perceived reproductive health needs and factors associated with receipt of a fertility status assessment (FSA). There is a lack of developmentally appropriate reproductive health

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Bellitti, Joseph S., Alexa M. L’Insalata, and Tera L. Fazzino. "Discounting of Hyper-Palatable Foods Is Associated with Eating Motives and Binge Eating Behavior." Nutrients 17, no. 8 (2025): 1356. https://doi.org/10.3390/nu17081356.

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Background: High delay discounting (DD), or the tendency to prefer immediate rewards over larger delayed rewards, has been associated with health risk behaviors. This study examined the DD of hyper-palatable foods (HPFs) and money, and their associations with eating motives and binge eating behavior. Methods: An adult sample (N = 296) completed a DD task with single- and cross-commodity conditions with rewards of money and/or HPF (e.g., HPF now vs. HPF later; HPF now vs. money later). Regression models tested the association between DD, and eating motives and binge eating. Results: DD in the H

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Fiorucci, P., F. Gaetani, R. Minciardi, and E. Trasforini. "Natural risk assessment and decision planning for disaster mitigation." Advances in Geosciences 2 (May 13, 2005): 161–65. http://dx.doi.org/10.5194/adgeo-2-161-2005.

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Abstract. In this paper, decisional models are introduced aiming at defining a general framework for natural disaster mitigation. More specifically, an integrated approach based on system modelling and optimal resource assignment is presented in order to support the decision makers in pre-operational and real-time management of forest fire emergencies. Some strategies for pre-operative and real time risk management will be described and formalized as optimal resource assignment problems. To this end, some models capable to describe the resources dynamics will be introduced, both in pre-operati

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Rotaru, Ionela Magdalena, and Sorin Borza. "Conception And Fabrication In Automotive Industry Using Knowledge Management Principles." Balkan Region Conference on Engineering and Business Education 1, no. 1 (2014): 359–64. http://dx.doi.org/10.2478/cplbu-2014-0054.

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AbstractKnowledge management is a reality nowadays, a powerful resource and one of the premises that provides efficiency and decisional support to any approach no matter of the specific domain were we apply the knowledge management principles. Knowledge models, the specific instruments of the knowledge management represent the start point of this paper, in which we present some aspects regarding the conception and fabrication using knowledge models in the automotive industry field. The approach starts with a short presentation of some knowledge models from the technical area and in the final p

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Ogazón, Esteban, Neale R. Smith, and Angel Ruiz. "Assessing Different Two-Stage Stochastic Models for Optimizing Food Bank Networks’ Operations During Natural Disasters." Mathematics 12, no. 20 (2024): 3238. http://dx.doi.org/10.3390/math12203238.

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Humanitarian logistics face significant challenges during natural disasters due to operational uncertainties. Humanitarian logistics networks such as food banks must manage both regular operations and disaster-induced supply and demand. The study aims to develop and assess two-stage stochastic models that support decision-making under these dual operations. We evaluate various decisional strategies through extensive numerical experiments inspired in the operation of the food bank network Bancos de Alimentos de México (BAMX), highlighting the importance of suitable timeframes for reactive and a

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Morano, Rosato, Tajani, Manganelli, and Liddo. "Contextualized Property Market Models vs. Generalized Mass Appraisals: An Innovative Approach." Sustainability 11, no. 18 (2019): 4896. http://dx.doi.org/10.3390/su11184896.

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The present research takes into account the current and widespread need for rational valuation methodologies, able to correctly interpret the available market data. An innovative automated valuation model has been simultaneously implemented to three Italian study samples, each one constituted by two-hundred residential units sold in the years 2016–2017. The ability to generate a “unique” functional form for the three different territorial contexts considered, in which the relationships between the influencing factors and the selling prices are specified by different multiplicative coefficients

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Pendharkar, Parag C., and Marvin D. Troutt. "DEA based data preprocessing for maximum decisional efficiency linear case valuation models." Expert Systems with Applications 39, no. 10 (2012): 9435–42. http://dx.doi.org/10.1016/j.eswa.2012.02.118.

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Wenzel, Lari B., Dana B. Mukamel, Kathryn Osann, et al. "Shared decision-making in ovarian cancer." Journal of Clinical Oncology 35, no. 15_suppl (2017): 5549. http://dx.doi.org/10.1200/jco.2017.35.15_suppl.5549.

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5549 Background: The value of shared decision-making in ovarian cancer is relatively unexplored. The goal of this study was to test a new decision aid, Patient Centered Outcome Aid (PCOA), that facilitates shared decision-making and helps ovarian cancer patients assimilate information and identify quality of life (QOL), toxicity and survival trade-offs between IP/IV therapy and IV therapy alone, based on their preferences and personal clinical characteristics. Methods: Participants were randomized to either PCOA (N=64) or usual care (N=59). Patient characteristics, QOL and shared decision-maki

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Thomson, Jessica L., Lisa M. Tussing-Humphreys, Jamie M. Zoellner, and Melissa H. Goodman. "Psychosocial constructs were not mediators of intervention effects for dietary and physical activity outcomes in a church-based lifestyle intervention: Delta Body and Soul III." Public Health Nutrition 19, no. 11 (2016): 2060–69. http://dx.doi.org/10.1017/s1368980015003602.

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AbstractObjectiveEvaluating an intervention’s theoretical basis can inform design modifications to produce more effective interventions. Hence the present study’s purpose was to determine if effects from a multicomponent lifestyle intervention were mediated by changes in the psychosocial constructs decisional balance, self-efficacy and social support.DesignDelta Body and Soul III, conducted from August 2011 to May 2012, was a 6-month, church-based, lifestyle intervention designed to improve diet quality and increase physical activity. Primary outcomes, diet quality and aerobic and strength/fle

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Perales, D. David Pérez, Francisco-Cruz Lario Esteban, Ma Mar Eva Alemany Díaz, and Jorge E. Hernández. "Framework for Modelling the Decision." International Journal of Decision Support System Technology 4, no. 2 (2012): 59–77. http://dx.doi.org/10.4018/jdsst.2012040104.

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In the supply chains operations planning context, and from a research viewpoint, it has been mainly assumed that different supply chain members make decisions in a centralised manner (one decision centre). However, reality shows that this is not the most usual situation, rather distributed supply chain decision making is. This paper proposes a framework to support modelling the decisional view of collaborative planning from a decision-making process perspective for both centralised and distributed situations. Along these lines, the framework assumes that the supply chain may be composed of one

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Scaltritti, Michele, Remo Job, F. Xavier Alario, and Simone Sulpizio. "On the Boundaries between Decision and Action: Effector-selective Lateralization of Beta-frequency Power Is Modulated by the Lexical Frequency of Printed Words." Journal of Cognitive Neuroscience 32, no. 11 (2020): 2131–44. http://dx.doi.org/10.1162/jocn_a_01606.

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Current computational and neuroscientific models of decision-making posit a discrete, serial processing distinction between upstream decisional stages and downstream processes of motor-response implementation. We investigated this framework in the context of two-alternative forced-choice tasks on linguistic stimuli, words and pseudowords. In two experiments, we assessed the impact of lexical frequency and action semantics on two effector-selective EEG indexes of motor-response activation: the lateralized readiness potential and the lateralization of beta-frequency power. This allowed us to tra

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Mollá, Nuria, Alejandro Rabasa, Jesús J. Rodríguez-Sala, Joaquín Sánchez-Soriano, and Antonio Ferrándiz. "Incremental Decision Rules Algorithm: A Probabilistic and Dynamic Approach to Decisional Data Stream Problems." Mathematics 10, no. 1 (2021): 16. http://dx.doi.org/10.3390/math10010016.

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Data science is currently one of the most promising fields used to support the decision-making process. Particularly, data streams can give these supportive systems an updated base of knowledge that allows experts to make decisions with updated models. Incremental Decision Rules Algorithm (IDRA) proposes a new incremental decision-rule method based on the classical ID3 approach to generating and updating a rule set. This algorithm is a novel approach designed to fit a Decision Support System (DSS) whose motivation is to give accurate responses in an affordable time for a decision situation. Th

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Povey, M., S. Powell, N. Howes, D. Vimalachandran, and P. Sutton. "Evaluating the potential utility of three-dimensional printed models in preoperative planning and patient consent in gastrointestinal cancer surgery." Annals of The Royal College of Surgeons of England 103, no. 8 (2021): 615–20. http://dx.doi.org/10.1308/rcsann.2020.7102.

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Introduction The Future of Surgery report from the Royal College of Surgeons of England acknowledges the important role that three-dimensional imaging will play in support of personalised surgical interventions. One component of this is preoperative planning. We investigated surgeons’ and patients’ perceptions of this evolving technology. Materials and methods Ethical approval was obtained. From a normal computed tomography scan, three-dimensional models of the stomach, pancreas and rectum were rendered and printed on an Ultimaker™ three-dimensional printer. Semi-structured interviews were per

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Klann, Elyssa M., and Y. Joel Wong. "A Pregnancy Decision-Making Model: Psychological, Relational, and Cultural Factors Affecting Unintended Pregnancy." Psychology of Women Quarterly 44, no. 2 (2020): 170–86. http://dx.doi.org/10.1177/0361684320904321.

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Empirical data from the past 50 years have illuminated some of the factors that influence pregnancy decision-making. Yet, formal models of pregnancy decision-making are uncommon and rarely incorporate cultural perspectives. In order to address this gap in the literature, we propose the Pregnancy Decision-Making Model (PDMM), a comprehensive model of the factors that are likely to affect pregnancy decisions in the context of unintended pregnancy, with special attention to relational and intersectional components of pregnancy decisions. The PDMM begins with three primary Evaluation factors: Eval

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Toivonen, Kirsti, Tamara Williamson, Linda Carlson, Lauren Walker, and Tavis Campbell. "Potentially Modifiable Factors Associated with Adherence to Adjuvant Endocrine Therapy among Breast Cancer Survivors: A Systematic Review." Cancers 13, no. 1 (2020): 107. http://dx.doi.org/10.3390/cancers13010107.

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Adjuvant endocrine therapy (AET) reduces risk of breast cancer recurrence. However, suboptimal adherence and persistence to AET remain important clinical issues. Understanding factors associated with adherence may help inform efforts to improve use of AET as prescribed. The present systematic review examined potentially modifiable factors associated with adherence to AET in accordance with PRISMA guidelines (PROSPERO registration ID: CRD42019124200). All studies were included, whether factors were significantly associated with adherence or results were null. This review also accounted for the

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Wright, Megan S. "Dementia, Healthcare Decision Making, and Disability Law." Journal of Law, Medicine & Ethics 47, S4 (2019): 25–33. http://dx.doi.org/10.1177/1073110519898040.

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Persons with dementia often prefer to participate in decisions about their health care, but may be prevented from doing so because healthcare decision-making law facilitates use of advance directives or surrogate decision makers for persons with decisional impairments such as dementia. Federal and state disability law provide alternative decision-making models that do not prevent persons with mild to moderate dementia from making their own healthcare decisions at the time the decision needs to be made. In order to better promote autonomy and wellbeing, persons with dementia should be accommoda

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VENTRE, Viviana. "Behavioral issues in decision problems: the role of information." Journal of Mathematical Economics and Finance 4, no. 2 (2018): 27. http://dx.doi.org/10.14505/jmef.v4.2(7).02.

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Operational research (OR) might exhibit a partial perspective in modelling decisional processes as rational processes, because individual choices are strictly influenced by cognitive and motivational biases which can be different among people and for each person in dierent situation. We point out that the level of information of each problem solver play an important role in causing inconsistent preferences, and we demonstrate that only about strict conditions decision models coincide with real choices, because only in particular cases the optimum and rational decision matches with the real one

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Blanc-Sylvestre, Nicolas, Philippe Bouchard, Catherine Chaussain, and Claire Bardet. "Pre-Clinical Models in Implant Dentistry: Past, Present, Future." Biomedicines 9, no. 11 (2021): 1538. http://dx.doi.org/10.3390/biomedicines9111538.

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Biomedical research seeks to generate experimental results for translation to clinical settings. In order to improve the transition from bench to bedside, researchers must draw justifiable conclusions based on data from an appropriate model. Animal testing, as a prerequisite to human clinical exposure, is performed in a range of species, from laboratory mice to larger animals (such as dogs or non-human primates). Minipigs appear to be the animal of choice for studying bone surgery around intraoral dental implants. Dog models, well-known in the field of dental implant research, tend now to be u

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Copeland, A. M., and M. J. Wenger. "Investigating perceptual and decisional mechanisms for the dynamics of perceptual learning: Theory, models, and data." Journal of Vision 3, no. 9 (2010): 676. http://dx.doi.org/10.1167/3.9.676.

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Wong, Yu-Ning, Mark D. Schluchter, Terrance L. Albrecht, et al. "Financial Concerns About Participation in Clinical Trials Among Patients With Cancer." Journal of Clinical Oncology 34, no. 5 (2016): 479–87. http://dx.doi.org/10.1200/jco.2015.63.2463.

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Purpose The decision to enroll in a clinical trial is complex given the uncertain risks and benefits of new approaches. Many patients also have financial concerns. We sought to characterize the association between financial concerns and the quality of decision making about clinical trials. Methods We conducted a secondary data analysis of a randomized trial of a Web-based educational tool (Preparatory Education About Clinical Trials) designed to improve the preparation of patients with cancer for making decisions about clinical trial enrollment. Patients completed a baseline questionnaire that

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Minniti, Maria, and William Bygrave. "A Dynamic Model of Entrepreneurial Learning." Entrepreneurship Theory and Practice 25, no. 3 (2001): 5–16. http://dx.doi.org/10.1177/104225870102500301.

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We model entrepreneurial learning as a calibrated algorithm of an iterated choice problem in which entrepreneurs learn by updating a subjective stock of knowledge accumulated on the basis of past experiences. Specifically, we argue that entrepreneurs repeat only those choices that appear most promising and discard the ones that resulted in failure. The contribution of the paper is twofold. First, we provide a structural model of entrepreneurial learning in which failure is as informative—though clearly not as desirable—as success. Second, to complement standard economic models in which agents

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George, Tracey E., and Lee Epstein. "On the Nature of Supreme Court Decision Making." American Political Science Review 86, no. 2 (1992): 323–37. http://dx.doi.org/10.2307/1964223.

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How does the U.S. Supreme Court reach decisions? Since the 1940s, scholars have focused on two distinct explanations. The legal model suggests that the rule of law (stare decisis) is the key determinant. The extralegal model posits that an array of sociological, psychological, and political factors produce judicial outcomes. To determine which model better accounted for judicial decisions, we used Supreme Court cases involving the imposition of the death penalty since 1972 and estimated and evaluated the models' success in accounting for decisional outcomes. Although both models performed quit

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Piazza, Gianni. "Come decidono gli attivisti all'interno dei Centri Sociali? Uno studio comparato delle occupazioni in una cittŕ italiana." PARTECIPAZIONE E CONFLITTO, no. 1 (May 2012): 118–40. http://dx.doi.org/10.3280/paco2012-001006.

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The Social Centres in Italy are autonomous groups set up by left-wing radical activists, who occupy and/or self-manage unused buildings, where they organize political campaigns, social and countercultural activities. In this article, a typology of decision-making and internal democracy models, based on decisional method and preferences' treatment adopted (Consensual vs. Majoritarian), is here proposed and tested through the binary comparison of two Social Centres, as empirical cases, in the same city (Catania in Sicily), with the most dissimilar characteristics (campaigns/activities, political

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Granata, Giuseppe, and Giancarlo Scozzese. "The Influence of Virtual Communities in Marketing Decision." International Business Research 10, no. 12 (2017): 191. http://dx.doi.org/10.5539/ibr.v10n12p191.

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Purpose – The introduction and growth of the Internet and modern technology has had a strong impact on the structures of companies and led to a change in the decisional processes. In the new economic scenarios, with the growth of social networks and Web 3.0, technologies go through developments and transformations that are of vital importance to ensure the competitiveness of companies.Methodology – The study analyzes the possibility of applying social networks to the new business models, underlining their importance not only with regard to managers but also, and especially, to crowdsourcing pr

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Chen, Shi-Yu, Hui-Chun Hsu, Ruey-Hsia Wang, Yau-Jiunn Lee, and Chang-Hsun Hsieh. "Glycemic Control in Insulin-Treated Patients With Type 2 Diabetes: Empowerment Perceptions and Diabetes Distress as Important Determinants." Biological Research For Nursing 21, no. 2 (2018): 182–89. http://dx.doi.org/10.1177/1099800418820170.

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The purpose of this cross-sectional study was to explore the determinants of hemoglobin A1c (HbA1c) levels in insulin-treated patients with Type 2 diabetes mellitus (T2DM) based on demographic and disease characteristics, self-reported regimen adherence factors (adherence in insulin regimen and self-monitoring of blood glucose), and psychosocial factors (decisional balance for insulin injection, health literacy, self-efficacy for insulin injection, diabetes distress, and empowerment perceptions). Via convenience sampling, 255 insulin-treated patients with T2DM were recruited from two endocrino

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Carrozza, Chiara. "Italian water services reform from 1994 to 2008: decisional rounds and local modes of governance." Water Policy 13, no. 6 (2011): 751–68. http://dx.doi.org/10.2166/wp.2011.030.

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Italian water services reform, started in 1994, has been surrounded by a lively debate on water management models; however, the story of the reform is difficult to understand if only those models chosen by local public agencies are considered. This paper provides a general picture of the reform, analyzes the decision-making process and presents a map of local outcomes. The decision-making analysis considers the course of action taken by the actors involved in reform from 1994 to 2008, and summarizes the events into three rounds. The map of the local modes of governance is focused on the relati

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Krieger, Janice L., Jessica L. Krok-Schoen, Phokeng M. Dailey, et al. "Distributed Cognition in Cancer Treatment Decision Making: An Application of the DECIDE Decision-Making Styles Typology." Qualitative Health Research 27, no. 8 (2016): 1146–59. http://dx.doi.org/10.1177/1049732316645321.

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Distributed cognition occurs when cognitive and affective schemas are shared between two or more people during interpersonal discussion. Although extant research focuses on distributed cognition in decision making between health care providers and patients, studies show that caregivers are also highly influential in the treatment decisions of patients. However, there are little empirical data describing how and when families exert influence. The current article addresses this gap by examining decisional support in the context of cancer randomized clinical trial (RCT) decision making. Data are

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Obiri, Isaac Amankona, Qi Xia, Hu Xia, et al. "A Fully Secure KP-ABE Scheme on Prime-Order Bilinear Groups through Selective Techniques." Security and Communication Networks 2020 (November 29, 2020): 1–18. http://dx.doi.org/10.1155/2020/8869057.

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Key-policy attribute-based encryption (KP-ABE) is the cryptographic primitive which enables fine grained access control while still providing end-to-end encryption. Although traditional encryption schemes can provide end-to-end encryption, users have to either share the same decryption keys or the data have to be stored in multiple instances which are encrypted with different keys. Both of these options are undesirable. However, KP-ABE can provide less key overhead compared to the traditional encryption schemes. While there are a lot of KP-ABE schemes, none of them simultaneously supports mult

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Collignon, Bertrand, Axel Séguret, and José Halloy. "A stochastic vision-based model inspired by zebrafish collective behaviour in heterogeneous environments." Royal Society Open Science 3, no. 1 (2016): 150473. http://dx.doi.org/10.1098/rsos.150473.

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Collective motion is one of the most ubiquitous behaviours displayed by social organisms and has led to the development of numerous models. Recent advances in the understanding of sensory system and information processing by animals impels one to revise classical assumptions made in decisional algorithms. In this context, we present a model describing the three-dimensional visual sensory system of fish that adjust their trajectory according to their perception field. Furthermore, we introduce a stochastic process based on a probability distribution function to move in targeted directions rathe

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Nicora, Giovanna, Michele Catalano, Chandra Bortolotto, et al. "Bayesian Networks in the Management of Hospital Admissions: A Comparison between Explainable AI and Black Box AI during the Pandemic." Journal of Imaging 10, no. 5 (2024): 117. http://dx.doi.org/10.3390/jimaging10050117.

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Artificial Intelligence (AI) and Machine Learning (ML) approaches that could learn from large data sources have been identified as useful tools to support clinicians in their decisional process; AI and ML implementations have had a rapid acceleration during the recent COVID-19 pandemic. However, many ML classifiers are “black box” to the final user, since their underlying reasoning process is often obscure. Additionally, the performance of such models suffers from poor generalization ability in the presence of dataset shifts. Here, we present a comparison between an explainable-by-design (“whi

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Loh, Kah Poh (Melissa), Soroush Mortaz-Hedjri, Ying Wang, et al. "Patient Values, Information Preferences, and Decisional Preferences Among Older Adults with Acute Myeloid Leukemia." Blood 142, Supplement 1 (2023): 2352. http://dx.doi.org/10.1182/blood-2023-172827.

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Introduction: Newer treatments have permitted more older patients with acute myeloid leukemia (AML), including those with aging-related conditions, to receive leukemia-directed therapy. A better understanding of patient values (i.e., their priorities) as well as informational and decisional preferences is important to achieve high-quality shared decision making. In this study, we 1) describe the values of older adults with newly diagnosed AML; 2) assess demographics and aging-related conditions associated with patient values; and 3) describe informational and decisional preferences. Methods: W

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Smith, Philip L., and Simon D. Lilburn. "Vision for the blind: visual psychophysics and blinded inference for decision models." Psychonomic Bulletin & Review 27, no. 5 (2020): 882–910. http://dx.doi.org/10.3758/s13423-020-01742-7.

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Abstract Evidence accumulation models like the diffusion model are increasingly used by researchers to identify the contributions of sensory and decisional factors to the speed and accuracy of decision-making. Drift rates, decision criteria, and nondecision times estimated from such models provide meaningful estimates of the quality of evidence in the stimulus, the bias and caution in the decision process, and the duration of nondecision processes. Recently, Dutilh et al. (Psychonomic Bulletin & Review 26, 1051–1069, 2019) carried out a large-scale, blinded validation study of decision mod

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Yu, Catherine, Dorothy Choi, Brigida A. Bruno, et al. "Impact of MyDiabetesPlan, a Web-Based Patient Decision Aid on Decisional Conflict, Diabetes Distress, Quality of Life, and Chronic Illness Care in Patients With Diabetes: Cluster Randomized Controlled Trial." Journal of Medical Internet Research 22, no. 9 (2020): e16984. http://dx.doi.org/10.2196/16984.

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Background Person-centered care is critical for delivering high-quality diabetes care. Shared decision making (SDM) is central to person-centered care, and in diabetes care, it can improve decision quality, patient knowledge, and patient risk perception. Delivery of person-centered care can be facilitated with the use of patient decision aids (PtDAs). We developed MyDiabetesPlan, an interactive SDM and goal-setting PtDA designed to help individualize care priorities and support an interprofessional approach to SDM. Objective This study aims to assess the impact of MyDiabetesPlan on decisional

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Marini, Marco, Alessandro Ansani, and Fabio Paglieri. "Attraction comes from many sources: Attentional and comparative processes in decoy effects." Judgment and Decision Making 15, no. 5 (2020): 704–26. http://dx.doi.org/10.1017/s1930297500007889.

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AbstractThe attraction effect emerges when adding a seemingly irrelevant option (decoy) to a binary choice shifts preference towards a target option. This suggests that choice behaviour is dynamic, i.e., choice values are developed during deliberation, rather than manifesting some pre-existing preference set. Whereas several models of multialternative and multiattribute decision making consider dynamic choice processes as crucial to explain the attraction effect, empirically investigating the exact nature of such processes requires complementing choice output with other data. In this study, we

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