Journal articles: 'Model informed approach'

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Vorobiev, Oleg, Eric Herbold, Souheil Ezzedine, and Tarabay Antoun. "A continuum model for concrete informed by mesoscale studies." International Journal of Damage Mechanics 27, no. 10 (September 18, 2017): 1451–81. http://dx.doi.org/10.1177/1056789517730884.

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The paper describes a novel computational approach to refine continuum models for penetration calculations which involves two stages. At the first stage, a trial continuum model is used to model penetration into a concrete target. Model parameters are chosen to match experimental data on penetration depth. Deformation histories are recorded at few locations in the target around the penetrator. In the second stage, these histories are applied to the boundaries of a representative volume comparable to the element size in large scale penetration simulation. Discrete-continuum approach is used to model the deformation and failure of the material within the representative volume. The same deformation histories are applied to a single element which uses the model to be improved. Continuum model may include multiple parameters or functions which cannot be easily found using experimental data. We propose using mesoscale response to constrain such parameters and functions. Such tuning of the continuum model using typical deformation histories experienced by the target material during the penetration allows us to minimize the parameter space and build better models for penetration problems which are based on physics of penetration rather than intuition and ad hoc assumptions.

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Madabushi, Rajanikanth, Yaning Wang, and Issam Zineh. "A Holistic and Integrative Approach for Advancing Model‐Informed Drug Development." CPT: Pharmacometrics & Systems Pharmacology 8, no. 1 (January 2019): 9–11. http://dx.doi.org/10.1002/psp4.12379.

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Hughes, Hilary, Marcus Foth, and Kerry Mallan. "Social living labs for informed learning." Journal of Information Literacy 13, no. 2 (December 3, 2019): 112. http://dx.doi.org/10.11645/13.2.2641.

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This paper proposes social living labs for informed learning as an innovative approach to interprofessional and community education. It presents a new conceptual model and practice framework suited to rapidly changing, information-intensive work and social environments. The proposed approach is theoretically informed and evidence based. It integrates concepts from three complementary fields: Informed learning as information literacy pedagogy that enables using information critically and creatively to learn (information science); interprofessional education as a professional learning model with a cross-disciplinary and community reach (health sciences/medicine); and social living labs as informal learning context and problem-solving process (community development). After reviewing relevant literature, the paper introduces the concepts and research that underpin social living labs for informed learning. Then it presents a new conceptual model and a practice framework to guide their design and implementation. To illustrate the practical application of this approach, a hypothetical scenario envisages health practitioners, librarians and community members collaborating in a social living lab to address health and social challenges related to child obesity. The paper concludes by discussing anticipated benefits and limitations of the approach and possible wider application. As a contribution to theory, the paper uncovers a previously unrecognised synergy between the principles of informed learning, social living labs and interprofessional education. Supporting information literacy research and practice, the paper identifies a significant role for informed learning in community and professional education, and a novel strategy for health information literacy development. The paper is of interest to educators, researchers, and practitioners across information literacy, community development, healthcare, and other professional fields.

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Koury, Samantha P., and Susan A. Green. "Developing Trauma-Informed Care Champions: A Six-Month Learning Collaborative Training Model." Advances in Social Work 18, no. 1 (September 24, 2017): 145–66. http://dx.doi.org/10.18060/21303.

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This paper describes a six-month learning collaborative for service providers seeking to implement trauma-informed care (TIC) into their agencies. Although the professional literature on trauma-informed care has grown substantially over the past 10 years, little research has focused on how to effectively train agencies in creating a trauma-informed culture shift. Participants were trained as “TIC champions” to help facilitate the creation of trauma-informed approaches in their agencies. Through a parallel process, they learned the skills for planning and implementing a trauma-informed approach in their agency. At the completion of the training, trainers observed champions becoming more confident in their ability to assist their agencies in creating a trauma-informed culture shift. Though quantitative studies evaluating the learning collaborative are needed, initial findings suggest the collaborative approach is an effective means of guiding champions through the process of becoming trauma-informed.

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Wind, Stefanie A., and A. Adrienne Walker. "A Model‐Data‐Fit‐Informed Approach to Score Resolution in Performance Assessments." Educational Measurement: Issues and Practice 40, no. 3 (April 19, 2021): 52–63. http://dx.doi.org/10.1111/emip.12427.

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Montgomery, Jacob M., Santiago Olivella, Joshua D. Potter, and Brian F. Crisp. "An Informed Forensics Approach to Detecting Vote Irregularities." Political Analysis 23, no. 4 (2015): 488–505. http://dx.doi.org/10.1093/pan/mpv023.

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Electoral forensics involves examining election results for anomalies to efficiently identify patterns indicative of electoral irregularities. However, there is disagreement about which, if any, forensics tool is most effective at identifying fraud, and there is no method for integrating multiple tools. Moreover, forensic efforts have failed to systematically take advantage of country-specific details that might aid in diagnosing fraud. We deploy a Bayesian additive regression trees (BART) model–a machine-learning technique–on a large cross-national data set to explore the dense network of potential relationships between various forensic indicators of anomalies and electoral fraud risk factors, on the one hand, and the likelihood of fraud, on the other. This approach allows us to arbitrate between the relative importance of different forensic and contextual features for identifying electoral fraud and results in a diagnostic tool that can be relatively easily implemented in cross-national research.

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Miller, Faye Q. "Experiencing information use for early career academics’ learning: a knowledge ecosystem model." Journal of Documentation 71, no. 6 (October 12, 2015): 1228–49. http://dx.doi.org/10.1108/jd-04-2014-0058.

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Purpose – The purpose of this paper is to explore the informed learning experiences of early career academics (ECAs) while building their networks for professional and personal development. The notion that information and learning are inextricably linked via the concept of “informed learning” is used as a conceptual framework to gain a clearer picture of what informs ECAs while they learn and how they experience using that which informs their learning within this complex practice: to build, maintain and utilise their developmental networks. Design/methodology/approach – This research employs a qualitative framework using a constructivist grounded theory approach (Charmaz, 2006). Through semi-structured interviews with a sample of 14 ECAs from across two Australian universities, data were generated to investigate the research questions. The study used the methods of constant comparison to create codes and categories towards theme development. Further examination considered the relationship between thematic categories to construct an original theoretical model. Findings – The model presented is a “knowledge ecosystem”, which represents the core informed learning experience. The model consists of informal learning interactions such as relating to information to create knowledge and engaging in mutually supportive relationships with a variety of knowledge resources found in people who assist in early career development. Originality/value – Findings from this study present an alternative interpretation of informed learning that is focused on processes manifesting as human interactions with informing entities revolving around the contexts of reciprocal human relationships.

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Khoshkholgh, Sarouyeh, Andrea Zunino, and Klaus Mosegaard. "Informed proposal Monte Carlo." Geophysical Journal International 226, no. 2 (April 29, 2021): 1239–48. http://dx.doi.org/10.1093/gji/ggab173.

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SUMMARY Any search or sampling algorithm for solution of inverse problems needs guidance to be efficient. Many algorithms collect and apply information about the problem on the fly, and much improvement has been made in this way. However, as a consequence of the No-Free-Lunch Theorem, the only way we can ensure a significantly better performance of search and sampling algorithms is to build in as much external information about the problem as possible. In the special case of Markov Chain Monte Carlo (MCMC) sampling we review how this is done through the choice of proposal distribution, and we show how this way of adding more information about the problem can be made particularly efficient when based on an approximate physics model of the problem. A highly non-linear inverse scattering problem with a high-dimensional model space serves as an illustration of the gain of efficiency through this approach.

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Jongejan, Ruben, Roshanka Ranasinghe, and Han Vrijling. "A RISK-INFORMED APPROACH TO COASTAL ZONE MANAGEMENT." Coastal Engineering Proceedings 1, no. 32 (January 30, 2011): 8. http://dx.doi.org/10.9753/icce.v32.management.8.

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Economic and population growth have led to an unprecedented increase in the value at risk in coastal zones over the last century. To avoid excessive future losses, particularly in the light of projected climate change impacts, coastal zone managers have various instruments at their disposal. These primarily concern land-use planning (establishing buffer zones) and engineering solutions (beach nourishment and coastal protection). In this paper, we focus on risk mitigation through the implementation of buffer zones (setback lines). Foregoing land-use opportunities in coastal regions and protecting coasts is costly, but so is damage caused by inundation and storm erosion. Defining appropriate setback lines for land-use planning purposes is a balancing act. It is however unclear what level of protection is facilitated by current approaches for defining setback lines, and whether this is, at least from an economic perspective, sufficient. In this paper, we present an economic model to determine which setback lines would be optimal from an economic perspective. The results provide a useful reference point in the political debate about the acceptability of risk in coastal zones. The main conclusions are (i) that it is useful to define setback lines on the basis of their exceedance probabilities, (ii) that the exceedance probability of an economically efficient setback line will typically be in the order of magnitude of 1/100 per year, (iii) that it is important to distinguish between situations in which morphological conditions are stationary and non-stationary, and (iv) that long-term uncertainties (e.g. due to climate change) influence the exceedance probability of efficient setback lines but only to a limited extent.

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Li, Jerry, Mina Nikanjam, Coleen K. Cunningham, Elizabeth J. McFarland, Emily E. Coates, Katherine V. Houser, Bob C. Lin, et al. "Model Informed Development of VRC01 in Newborn Infants Using a Population Pharmacokinetics Approach." Clinical Pharmacology & Therapeutics 109, no. 1 (October 3, 2020): 184–92. http://dx.doi.org/10.1002/cpt.2026.

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Ryu, Doojin. "INFORMATION CONTENT OF INTER-TRANSACTION TIME: A STRUCTURAL APPROACH." Journal of Business Economics and Management 16, no. 4 (September 10, 2015): 697–711. http://dx.doi.org/10.3846/16111699.2013.804873.

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This study examines the information role of inter-transaction time by employing a structural market microstructure model. By analyzing the intraday data of the KOSPI200 futures market, we find that the inter-transaction time (i.e., time between two consecu- tive trades) reveals significant information, and that fast trading is indicative of informed trading. This result remains robust when the effect of trade size is incorporated into the model. Our regression analysis indicates that the information role of inter-transaction time becomes more important when informed trading is less concentrated, liquidity is lower, and the market is more volatile.

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Mahon, Daryl. "Trauma-informed servant leadership in health and social care settings." Mental Health and Social Inclusion 25, no. 3 (July 22, 2021): 306–20. http://dx.doi.org/10.1108/mhsi-05-2021-0023.

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Purpose Practitioners, organisations and policy makers in health and social care settings are increasingly recognising the need for trauma-informed approaches in organisational settings, with morbidity and financial burdens a growing concern over the past few years. Servant leadership has a unique focus on emotional healing, service to others as the first priority, in addition to the growth, well-being and personal and professional development of key stakeholders. This paper aims to discuss Trauma Informed Servant Leadership (TISL). Design/methodology/approach A targeted review of the servant leadership and trauma-informed care literature was conducted. Relevant studies, including systematic review and meta-analysis, were sourced, with the resulting interpretation informing the conceptual model. Findings Although there are general guidelines regarding how to go about instituting trauma-informed approaches, with calls for organisational leadership to adapt the often cited six trauma-informed principles, to date there has not been a leadership approach elucidated which takes as its starting point and core feature to be trauma informed. At the same time, there is a paucity of research elucidating trauma outcomes for service users or employees in the literature when a trauma-informed approach is used. However, there is a large body of evidence indicating that servant leadership has many of the outcomes at the employee level that trauma-informed approaches are attempting to attain. Thus, the author builds on a previous conceptual paper in which a model of servant leadership and servant leadership supervision are proposed to mitigate against compassion fatigue and secondary trauma in the health and social care sector. The author extends that research to this paper by recasting servant leadership as a trauma-informed model of leadership that naturally operationalises trauma-informed principles. Research limitations/implications A lack of primary data limits the extent to which conclusions can be drawn on the effectiveness of this conceptual model. However, the model is based on robust research across the differential components used; therefore, it can act as a framework for future empirical research designs to be studies at the organisational level. Both the servant leadership and trauma-informed literatures have been extended with the addition of this model. Practical implications TISL can complement the trauma-informed approach and may also be viable as an alternative to trauma-informed approaches. This paper offers guidelines to practitioners and organisations in health and social care on how to operationalise important trauma-informed principles through leadership. Social implications This conceptual model may help reduce the burden of trauma and re-traumatisation encountered by practitioners and service users in health and social care settings, impacting on morbidity. Originality/value To the best of the author’s knowledge, this is a novel approach, the first of its kind.

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Su, Ke. "A Research on the Informed Tectonics Design Model Based on Material." Applied Mechanics and Materials 556-562 (May 2014): 4211–13. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.4211.

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The institutionalized separation between form, structure and material, deeply embedded in modernist design theory. This research proposes a model based on informed tectonics for a material-based approach enabled form-generation. Based on the analysis of user demand, this thesis develops a way to build up user demand model based on user preference. This model gives some reference to the development of product innovation.

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Dodds, Michael, Yuan Xiong, Samer Mouksassi, Carl M. Kirkpatrick, Katrina Hui, Eileen Doyle, Kashyap Patel, et al. "Model‐informed drug repurposing: A pharmacometric approach to novel pathogen preparedness, response and retrospection." British Journal of Clinical Pharmacology 87, no. 9 (February 23, 2021): 3388–97. http://dx.doi.org/10.1111/bcp.14760.

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Kataoka, Sheryl H., Pamela Vona, Alejandra Acuna, Lisa Jaycox, Pia Escudero, Claudia Rojas, Erica Ramirez, Audra Langley, and Bradley Stein. "Applying a Trauma Informed School Systems Approach: Examples from School Community-Academic Partnerships." Ethnicity & Disease 28, Supp (September 6, 2018): 417–26. http://dx.doi.org/10.18865/ed.28.s2.417.

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Objectives: Schools can play an important role in addressing the effects of traumatic stress on students by providing prevention, early intervention, and intensive treatment for children exposed to trauma. This article aims to describe key domains for implementing trauma-informed practices in schools.Design: The Substance Abuse and Mental Health Administration (SAMHSA) has identified trauma-informed domains and principles for use across systems of care. This article applies these domains to schools and presents a model for a Trauma-Informed School System that highlights broad macro level factors, school-wide components, and tiered supports. Community partners from one school district apply this framework through case vignettes.Results: Case 1 describes the macro level components of this framework and the leveraging of school policies and financing to sustain trauma-informed practices in a public health model. Case 2 illustrates a school founded on trauma-informed principles and practices, and its promotion of a safe school environment through restorative practices. Case 3 discusses the role of school leadership in engaging and empowering families, communities, and school staff to address neighborhood and school violence.Conclusions: This article concludes with recommendations for dissemination of trauma-informed practices across schools at all stages of readiness. We identify three main areas for facilitating the use of this framework: 1) assessment of school staff knowledge and awareness of trauma; 2) assessment of school and/or district’s current implementation of trauma-informed principles and practices; 3) development and use of technology-assisted tools for broad dissemination of practices, data and evaluation, and workforce training of clinical and non-clinical staff. Ethn Dis.2018; 28(Suppl 2):417-426; doi:10.18865/ed.28.S2.417.

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Crenshaw, David A. "An Interpersonal Neurobiological-Informed Treatment Model for Childhood Traumatic Grief." OMEGA - Journal of Death and Dying 54, no. 4 (June 2007): 319–35. http://dx.doi.org/10.2190/b115-5526-0u27-4296.

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This article expands an earlier model of the tasks of grieving (1990, [1995], [2001]) by building on science based findings derived from research in attachment theory, neuroscience, interpersonal neurobiology, and childhood traumatic grief (CTG). The proposed treatment model is a prescriptive approach that spells out specific tasks to be undertaken by children suffering traumatic grief under the direction of a therapist who is trained in trauma-informed therapy approaches and draws heavily on the empirically derived childhood traumatic grief treatment model developed by Cohen and Mannarino (2004; Cohen, Mannarino, & Deblinger, 2006). This model expands on their work by proposing specific tasks that are informed by attachment theory research and the interpersonal neurobiological research (Schore, 2003a, 2003b; Siegel, 1999). Particular emphasis is placed on developing a coherent and meaningful narrative since this has been found as a crucial factor in recovery from trauma in attachment research (Siegel, 1999; Siegel & Hartzell, 2003).

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Klingmüller, Klaus, and Jos Lelieveld. "Climate-model-informed deep learning of global soil moisture distribution." Geoscientific Model Development 14, no. 7 (July 19, 2021): 4429–41. http://dx.doi.org/10.5194/gmd-14-4429-2021.

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Abstract. We present a deep neural network (DNN) that produces accurate predictions of observed surface soil moisture, applying meteorological data from a climate model. The network was trained on daily satellite retrievals of soil moisture from the European Space Agency (ESA) Climate Change Initiative (CCI). The predictors precipitation, temperature and humidity were simulated with the ECHAM/MESSy atmospheric chemistry–climate model (EMAC). Our evaluation shows that predictions of the trained DNN are highly correlated with the observations, both spatially and temporally, and free of bias. This offers an alternative for parameterisation schemes in climate models, especially in simulations that use but may not focus on soil moisture, which we illustrate with the threshold wind speed for mineral dust emissions. Moreover, the DNN can provide proxies for missing values in satellite observations to produce realistic, comprehensive and high-resolution global datasets. As the approach presented here could be similarly used for other variables and observations, the study is a proof of concept for basic but expedient machine learning techniques in climate modelling, which may motivate additional applications.

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Somerville, Mary M., and Niki Chatzipanagiotou. "Informed Systems: Enabling Collaborative Evidence Based Organizational Learning." Evidence Based Library and Information Practice 10, no. 4 (December 13, 2015): 24. http://dx.doi.org/10.18438/b8vp4x.

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Abstract Objective – In response to unrelenting disruptions in academic publishing and higher education ecosystems, the Informed Systems approach supports evidence based professional activities to make decisions and take actions. This conceptual paper presents two core models, Informed Systems Leadership Model and Collaborative Evidence-Based Information Process Model, whereby co-workers learn to make informed decisions by identifying the decisions to be made and the information required for those decisions. This is accomplished through collaborative design and iterative evaluation of workplace systems, relationships, and practices. Over time, increasingly effective and efficient structures and processes for using information to learn further organizational renewal and advance nimble responsiveness amidst dynamically changing circumstances. Methods – The integrated Informed Systems approach to fostering persistent workplace inquiry has its genesis in three theories that together activate and enable robust information usage and organizational learning. The information- and learning-intensive theories of Peter Checkland in England, which advance systems design, stimulate participants’ appreciation during the design process of the potential for using information to learn. Within a co-designed environment, intentional social practices continue workplace learning, described by Christine Bruce in Australia as informed learning enacted through information experiences. In addition, in Japan, Ikujiro Nonaka’s theories foster information exchange processes and knowledge creation activities within and across organizational units. In combination, these theories promote the kind of learning made possible through evolving and transferable capacity to use information to learn through design and usage of collaborative communication systems with associated professional practices. Informed Systems therein draws from three antecedent theories to create an original theoretical approach. Results – Over time and with practice, as co-workers design and enact information-focused and evidence based learning experiences, they learn the way to decision-making and action-taking. Increasingly more complex experiences of information exchange, sense making, and knowledge creation, well supported by workplace communication systems and professional practices, further dialogue and reflection and thereby enrich analysis and interpretation of complexities and interdependencies. Conclusions - Research projects and evaluation studies conducted since 2003 demonstrate the transformative potential of the holistic Informed Systems approach to creating robust workplace learning environments. Leaders are responsible for design of workplace environments supportive of well contextualized, information-rich conversations. Co-workers revisit both the nature of organizational information and the purpose of organizational work. As colleagues better understand the complexities of the organization and its situation, they learn to diagnose problems and identify consequences, guided by Informed Systems models. Systemic activity and process models activate collaborative evidence based information processes within enabling conditions for thought leadership and workplace learning that recognize learning is social. Enabling communication systems and professional practices therefore intentionally catalyze and support collegial inquiry to co-create information experiences and organizational knowledge through evidence based practice to enliven capacity, inform decisions, produce improvements, and sustain relationships. The Informed Systems approach is thereby a contribution to professional practice and workplace renewal through evidence based decision-making and action-taking in contemporary organizations.

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Herath, Herath Mudiyanselage Viraj Vidura, Jayashree Chadalawada, and Vladan Babovic. "Hydrologically informed machine learning for rainfall–runoff modelling: towards distributed modelling." Hydrology and Earth System Sciences 25, no. 8 (August 11, 2021): 4373–401. http://dx.doi.org/10.5194/hess-25-4373-2021.

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Abstract. Despite showing great success of applications in many commercial fields, machine learning and data science models generally show limited success in many scientific fields, including hydrology (Karpatne et al., 2017). The approach is often criticized for its lack of interpretability and physical consistency. This has led to the emergence of new modelling paradigms, such as theory-guided data science (TGDS) and physics-informed machine learning. The motivation behind such approaches is to improve the physical meaningfulness of machine learning models by blending existing scientific knowledge with learning algorithms. Following the same principles in our prior work (Chadalawada et al., 2020), a new model induction framework was founded on genetic programming (GP), namely the Machine Learning Rainfall–Runoff Model Induction (ML-RR-MI) toolkit. ML-RR-MI is capable of developing fully fledged lumped conceptual rainfall–runoff models for a watershed of interest using the building blocks of two flexible rainfall–runoff modelling frameworks. In this study, we extend ML-RR-MI towards inducing semi-distributed rainfall–runoff models. The meaningfulness and reliability of hydrological inferences gained from lumped models may tend to deteriorate within large catchments where the spatial heterogeneity of forcing variables and watershed properties is significant. This was the motivation behind developing our machine learning approach for distributed rainfall–runoff modelling titled Machine Induction Knowledge Augmented – System Hydrologique Asiatique (MIKA-SHA). MIKA-SHA captures spatial variabilities and automatically induces rainfall–runoff models for the catchment of interest without any explicit user selections. Currently, MIKA-SHA learns models utilizing the model building components of two flexible modelling frameworks. However, the proposed framework can be coupled with any internally coherent collection of building blocks. MIKA-SHA's model induction capabilities have been tested on the Rappahannock River basin near Fredericksburg, Virginia, USA. MIKA-SHA builds and tests many model configurations using the model building components of the two flexible modelling frameworks and quantitatively identifies the optimal model for the watershed of concern. In this study, MIKA-SHA is utilized to identify two optimal models (one from each flexible modelling framework) to capture the runoff dynamics of the Rappahannock River basin. Both optimal models achieve high-efficiency values in hydrograph predictions (both at catchment and subcatchment outlets) and good visual matches with the observed runoff response of the catchment. Furthermore, the resulting model architectures are compatible with previously reported research findings and fieldwork insights of the watershed and are readily interpretable by hydrologists. MIKA-SHA-induced semi-distributed model performances were compared against existing lumped model performances for the same basin. MIKA-SHA-induced optimal models outperform the lumped models used in this study in terms of efficiency values while benefitting hydrologists with more meaningful hydrological inferences about the runoff dynamics of the Rappahannock River basin.

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Soltani, Payam, Christophe Pinna, David J. Wagg, and Roly Whear. "Ageing simulation of a hydraulic engine mount: A data-informed finite element approach." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 233, no. 10 (July 12, 2018): 2432–42. http://dx.doi.org/10.1177/0954407018786147.

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Hydraulic engine mounts are key elements in an automotive vehicle suspension system that typically experience a change of their designed function during their working lifetime due to progressive material ageing, primarily from the elastomeric component. Ageing of the engine mount, resulting from severe and continuous mechanical and thermal loads, can have a detrimental impact on the ride and comfort and long-term customer satisfaction. This paper introduces a new practical methodology for simulating the ageing behaviour of engine mounts resulting from the change in properties of their elastomeric main spring component. To achieve this, a set of dynamic mechanical thermal analysis tests were conducted on elastomeric coupons taken from a set of engine mounts with different service and ageing conditions. These experimental results were used to characterise the change in mechanical response of the elastomer and to build up an empirical elastomer ageing model. Then a finite element model of the main spring was developed that used the elastomer ageing model so that the ageing behaviour of the engine mount could be simulated. The resulting ageing model was verified by using experimental results from a second batch of ex-service engine mounts. The results show an increasing trend of the vertical static stiffness of the engine mounts with distance travelled (or age) up to a certain distance (approximately 95,000 km). The trend is then reversed and a softening effect is observed. Moreover, the results reveal that both the maximum stiffness value and the distance travelled at the peak stiffness decrease as the temperature increases.

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Mantler, Tara, and Barat Wolfe. "Evaluation of Trauma-Informed Integrated Health Models of Care for Women: A Qualitative Case Study Approach." Partner Abuse 9, no. 2 (April 2018): 118–36. http://dx.doi.org/10.1891/1946-6560.9.2.118.

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For victims of partner abuse and trauma in Southwestern Ontario, unique options are available showcasing integrated models of trauma-informed care between social service agencies and primary health-care providers; however, little formal evaluation of these integration models has been completed. The purpose of this multiple case study approach is to examine the acceptability and perceived impacts of two models of trauma-informed social and primary care services, and identify gaps and recommendations for improving the quality of services offered to marginalized women. Participants were recruited from two models of care (facility- and system-level integration) utilizing three groups of participants: (a) administrators (n = 4); (b) frontline service providers (n = 10); and (c) women who utilized the services (n = 25). Despite the different approaches and limited resources, both integration models were acceptable in terms of suitability and comprehensiveness of integration and were impactful through strong partnerships and ameliorated system navigation. Unique to the facility-level integration model (e.g., had a nurse practitioner available onsite) was increased accessibility to health care and perceived improved mental and physical health in spite of the gaps in service provision and desire for additional services. Specific to the system integration model was the highlighted divergent views of care from outside health and social services resulting in an expressed desire by women for a facility integration approach. This study found, regardless of the model, that facility or system integration was highly acceptable and perceived to be impactful for victims of partner abuse and trauma.

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GAUTHIER, LAURENT. "INFORMED OPPORTUNISTIC TRADING AND PRICE OPTIMAL CONTROL." International Journal of Theoretical and Applied Finance 06, no. 01 (February 2003): 31–55. http://dx.doi.org/10.1142/s0219024903001773.

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In this paper we focus on the incentive to invest or disinvest in equity shares to benefit from discrepancies between their real value and their market prices, based on privileged information. Such a situation arises in particular when a manager trades his company's own stock. An existing simple model for the impact of transactions on prices is extended to the case of discrete transactions. This model is used to represent the impact of the informed agent's transactions. A probabilistic approach is proposed to determine the optimal control applied to the market price by the informed agent. Analytical solutions are derived to calculate the value of "realigning the price" for an informed market participant, and the properties of the controlled market price are discussed.

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Gomeni, Roberto, Jonathan Rabinowitz, Navin Goyal, Françoise Marie Madeleine Bressolle‐Gomeni, and Maurizio Fava. "Model‐Informed Approach to Assess the Treatment Effect Conditional to the Level of Placebo Response." Clinical Pharmacology & Therapeutics 106, no. 6 (August 30, 2019): 1253–60. http://dx.doi.org/10.1002/cpt.1584.

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Susanto, Budi O., Sebastian G. Wicha, Yanmin Hu, Anthony R. M. Coates, and Ulrika S. H. Simonsson. "Translational Model‐Informed Approach for Selection of Tuberculosis Drug Combination Regimens in Early Clinical Development." Clinical Pharmacology & Therapeutics 108, no. 2 (April 2, 2020): 274–86. http://dx.doi.org/10.1002/cpt.1814.

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Tao, Hai, Jing Wang, Zaher Mundher Yaseen, Muamer N. Mohammed, and Jasni Mohamad Zain. "Shrewd vehicle framework model with a streamlined informed approach for green transportation in smart cities." Environmental Impact Assessment Review 87 (March 2021): 106542. http://dx.doi.org/10.1016/j.eiar.2020.106542.

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Murray, Ann M., Ashley B. Petrone, and Amelia K. Adcock. "Utilization of a Parental Approach to Informed Consent in Intravenous Tissue Plasminogen Activator Administration Decision-Making: Patient Preference and Ethical Considerations." Neurology Research International 2019 (September 5, 2019): 1–4. http://dx.doi.org/10.1155/2019/9240603.

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Objective. While administration of intravenous tissue plasminogen activator (IV-tPA) is the standard of care in acute ischemic stroke and has been shown to have statistically significant benefit, there can also be potentially life-threatening complications; however, there is no standard informed consent approach. The purpose of this study was to present a parental, technical, and general model of informed consent for IV-TPA and to determine which approach was preferred. Methods. Survey respondents were asked to hypothetically decide whether or not to provide consent for their family member to receive IV-tPA. Respondents were presented with 3 informed consent models: one emphasizing parental qualities, one emphasizing statistical data, and one representing a general consent statement. After being presented each model, the respondents had to select their preferred consent model, as well as rate their level of agreeability toward their family member receiving the medication following each approach. Results. The results of 184 surveys showed respondents were equally as likely to give consent for their family member to receive IV-TPA following all three approaches; however, respondents were significantly more likely to prefer the parental approach compared to a technical or general approach. Conclusion. Our results indicate that while paternalism is generally discouraged in the medical community, some degree of parental language may be preferred by patients in tough decision-making situations toward consent to receive medical interventions.

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Uster, David W., Sophie L. Stocker, Jane E. Carland, Jonathan Brett, Deborah J. E. Marriott, Richard O. Day, and Sebastian G. Wicha. "A Model Averaging/Selection Approach Improves the Predictive Performance of Model‐Informed Precision Dosing: Vancomycin as a Case Study." Clinical Pharmacology & Therapeutics 109, no. 1 (November 5, 2020): 175–83. http://dx.doi.org/10.1002/cpt.2065.

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Melillo, Nicola, and Adam S. Darwich. "A latent variable approach to account for correlated inputs in global sensitivity analysis." Journal of Pharmacokinetics and Pharmacodynamics 48, no. 5 (May 25, 2021): 671–86. http://dx.doi.org/10.1007/s10928-021-09764-x.

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AbstractIn drug development decision-making is often supported through model-based methods, such as physiologically-based pharmacokinetics (PBPK). Global sensitivity analysis (GSA) is gaining use for quality assessment of model-informed inference. However, the inclusion and interpretation of correlated factors in GSA has proven an issue. Here we developed and evaluated a latent variable approach for dealing with correlated factors in GSA. An approach was developed that describes the correlation between two model inputs through the causal relationship of three independent factors: the latent variable and the unique variances of the two correlated parameters. The latent variable approach was applied to a set of algebraic models and a case from PBPK. Then, this method was compared to Sobol’s GSA assuming no correlations, Sobol’s GSA with groups and the Kucherenko approach. For the latent variable approach, GSA was performed with Sobol’s method. By using the latent variable approach, it is possible to devise a unique and easy interpretation of the sensitivity indices while maintaining the correlation between the factors. Compared methods either consider the parameters independent, group the dependent variables into one unique factor or present difficulties in the interpretation of the sensitivity indices. In situations where GSA is called upon to support model-informed decision-making, the latent variable approach offers a practical method, in terms of ease of implementation and interpretability, for applying GSA to models with correlated inputs that does not violate the independence assumption. Prerequisites and limitations of the approach are discussed.

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Sprang, Ginny, Leslie Anne Ross, and Brian Miller. "A data-driven, implementation-focused, organizational change approach to addressing secondary traumatic stress." European Journal for Person Centered Healthcare 6, no. 1 (April 30, 2018): 62. http://dx.doi.org/10.5750/ejpch.v6i1.1400.

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The literature is replete with examples of the heavy toll that Secondary Traumatic Stress (STS) exacts among the workers who assist trauma survivors. The subsequent impact of STS on the workforce manifests in low morale, turnover, loss of productivity, job dissatisfaction and presenteeism. As organizations strive to become more trauma-informed, addressing the impact of traumatic stress on providers and first-responders becomes a critical component of best practice in a trauma-informed workplace. The implementation framework detailed in this paper serves to facilitate the development of organizational supports for workers in trauma-serving settings. The process begins with a data-based decision support measure (the STSI-OA) and is facilitated by the use of the STSI-OA Organizational Change Toolkit that includes a range of activities to address STS in the workplace and evaluates progress toward becoming STS-informed. Integration of the STSI-OA and the NIRN implementation framework into an evidence-informed toolkit provides a model for creating success in the implementation of STS prevention and intervention practices.

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Gill, Charlotte, Denise Gottfredson, and Kirsten Hutzell. "Can school policing be trauma-informed? Lessons from Seattle." Policing: An International Journal of Police Strategies & Management 39, no. 3 (August 15, 2016): 551–65. http://dx.doi.org/10.1108/pijpsm-02-2016-0020.

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Purpose The purpose of this paper is to describe Seattle’s School Emphasis Officer (SEO) program, a distinctive approach to school policing that aims to connect at-risk students with services and has potential to incorporate a trauma-informed approach. Design/methodology/approach Using qualitative data collected from a process evaluation of SEO, including interviews, observations, and analysis of activity logs and program documentation, the authors explore elements of the program that could be adapted for the development of a trauma-informed policing (TIP) model and highlight some potential pitfalls. Findings SEO activities align well with trauma-informed principles of safety, promoting collaboration, and impulse management and are delivered in a context of trust-building, transparency, and responsivity. However, the program is poorly defined and has limited reach, has not been rigorously evaluated, and faces serious threats to sustainability. Research limitations/implications This study does not assess the effectiveness or appropriateness of TIP. A rigorous evaluation is needed to improve upon and test the model to ensure that increased contact between police and youth is effective and does not contribute to the school-to-prison pipeline. Originality/value To the authors’ knowledge, this paper is the first to describe a potential framework for TIP and lay out an agenda for further research and policy development around this idea.

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Gregoriou, Andros, and Mark Rhodes. "The accuracy of spread decomposition models in capturing informed trades." Review of Behavioral Finance 9, no. 1 (April 10, 2017): 2–13. http://dx.doi.org/10.1108/rbf-02-2017-0016.

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Purpose The purpose of this paper is to examine the empirical relationship between trades undertaken by informed agents (managers) and the proxies for informed trades computed by bid-ask spread decomposition models. Design/methodology/approach An econometric application of spread decomposition models to data from the London Stock Exchange, with an examination of whether the model predictions are co-integrated with actual outcomes. Findings The authors find overwhelming evidence of non-stationary behaviour between the actual and predicted informed trade prices. The findings suggest that there is a clear need for an alternative to extant spread decomposition models perhaps incorporating findings from behavioural finance. Originality/value Given the importance of stock market liquidity and the extensive use of spread decomposition models in predicting informed trades, the authors believe that the research conducted in the paper is an important contribution to the market microstructure literature.

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Likens, Gene E. "Biogeochemistry, the watershed approach: some uses and limitations." Marine and Freshwater Research 52, no. 1 (2001): 5. http://dx.doi.org/10.1071/mf99188.

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The watershed (catchment) approach provides a powerful conceptual model for quantitatively evaluating the structure, function and change within a landscape or region. The values and limitations of this approach are considered in this paper, with particular reference to the Hubbard Brook watershed–ecosystem model. The need for informed long-term (sustained) research is stressed; a haphazard collection of data is rarely valuable. Team-building efforts will be needed increasingly in the future to enhance the success of multidisciplinary teams tackling large and complex environmental problems.

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Han, Yucen, Zirui Xu, An-Chang Shi, and Lei Zhang. "Pathways connecting two opposed bilayers with a fusion pore: a molecularly-informed phase field approach." Soft Matter 16, no. 2 (2020): 366–74. http://dx.doi.org/10.1039/c9sm01983a.

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A phase field model with two phase fields, representing the concentration and the head–tail separation of amphiphilic molecules, respectively, has been constructed using an extension of the Ohta–Kawasaki model (Macromolecules, 1986, 19, 2621–2632).

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Volkening, Alexandria, and Björn Sandstede. "Modelling stripe formation in zebrafish: an agent-based approach." Journal of The Royal Society Interface 12, no. 112 (November 2015): 20150812. http://dx.doi.org/10.1098/rsif.2015.0812.

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Zebrafish have distinctive black stripes and yellow interstripes that form owing to the interaction of different pigment cells. We present a two-population agent-based model for the development and regeneration of these stripes and interstripes informed by recent experimental results. Our model describes stripe pattern formation, laser ablation and mutations. We find that fish growth shortens the necessary scale for long-range interactions and that iridophores, a third type of pigment cell, help align stripes and interstripes.

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Ward-Lasher, Allison, Jill Messing, and Jillian Stein-Seroussi. "Implementation of Trauma-Informed Care in a Housing First Program for Survivors of Intimate Partner Violence: A Case Study." Advances in Social Work 18, no. 1 (September 24, 2017): 202–16. http://dx.doi.org/10.18060/21313.

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The intersection of trauma with the need for safe, stable, sustainable, and long-term housing is important when working with survivors of intimate partner violence (IPV). IPV advocacy agencies are advised to use a trauma-informed approach to help practitioners understand the impact of IPV on individuals. Housing First, a model addressing homelessness that provides permanent housing without preconditions, has been found to increase housing stability for survivors of IPV. Thus, we used a case study approach to examine how practitioners and administrators implement trauma-informed care in a Housing First program for IPV survivors. Trauma-informed care principles and the Housing First model were found to be complementary. The majority of clients in this program retained housing up to 3-months after services ended and increased their safety and knowledge of domestic violence. Combining Housing First with trauma-informed care may increase success for survivors of IPV.

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van Breda, Adrian. "Developmental social case work: A process model." International Social Work 61, no. 1 (December 4, 2015): 66–78. http://dx.doi.org/10.1177/0020872815603786.

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Social development has been adopted as South Africa’s social welfare approach and is increasingly being adopted in Africa and other parts of the developing world. The translation of developmental social welfare to social work has, however, been difficult for many social workers. A particularly challenging aspect of this translation concerns the practice of social case work within a social development approach, a topic that has received virtually no attention in the social development literature. This article constructs a process model for a form of social case work that is informed by social development principles and priorities.

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Washburn, Jason J., Michelle Gebhardt, Denise M. Styer, K. R. Juzwin, and Lev Gottlieb. "Co-Occurring Disorders in the Treatment of Nonsuicidal Self-Injury: An Evidence-Informed Approach." Journal of Cognitive Psychotherapy 26, no. 4 (2012): 348–64. http://dx.doi.org/10.1891/0889-8391.26.4.348.

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Co-occurring disorders are common among patients who present for treatment with nonsuicidal self-injury (NSSI). Evidence-based approaches specifically designed for the treatment of NSSI are limited, although interest in this area of research is growing. An evidence-informed model for the treatment of NSSI and co-occurring disorders is presented here to stimulate interest in addressing co-occurring disorders in the treatment of NSSI. Case examples are presented to highlight the complexity of treating NSSI and co-occurring disorders and to illustrate a model of treatment at the acute level of care. The case examples also underscore the need for clinical researchers to address co-occurring disorders when developing treatments specifically for NSSI.

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Clewe, Oskar, Sebastian G. Wicha, Corné P. de Vogel, Jurriaan E. M. de Steenwinkel, and Ulrika S. H. Simonsson. "A model-informed preclinical approach for prediction of clinical pharmacodynamic interactions of anti-TB drug combinations." Journal of Antimicrobial Chemotherapy 73, no. 2 (November 9, 2017): 437–47. http://dx.doi.org/10.1093/jac/dkx380.

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Coninck, Pierre De. "Citizen Involvement in Waste Management: An Application of The STOPER Model via an Informed Consensus Approach." Environmental Management 23, no. 1 (January 1, 1999): 87–94. http://dx.doi.org/10.1007/s002679900169.

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Guterman, Jeffrey T., and James Rudes. "A Narrative Approach to Strategic Eclecticism." Journal of Mental Health Counseling 27, no. 1 (January 1, 2005): 1–12. http://dx.doi.org/10.17744/mehc.27.1.tf591m8384t50njt.

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Strategic eclecticism is set forth as a basis from which to use divergent theories and techniques within narrative therapy, a process-oriented model informed by postmodernism. The theory and practice of narrative therapy are described. Principles and guidelines for employing a narrative approach to strategic eclecticism are explicated along with a case example. Directions for future research and theory building also are considered. It is suggested that a narrative approach to strategic eclecticism speaks to the need for convergence between the modernist and postmodernist schools.

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Lee, D., P. Ward, and P. Block. "A global approach to defining flood seasons." Hydrology and Earth System Sciences Discussions 12, no. 4 (April 30, 2015): 4595–630. http://dx.doi.org/10.5194/hessd-12-4595-2015.

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Abstract. Globally, flood catastrophes lead all natural hazards in terms of impacts on society, causing billions of dollars of damages annually. While short-term flood warning systems are improving in number and sophistication, forecasting systems on the order of months to seasons are a rarity, yet may lead to further disaster preparedness. To lay the groundwork for prediction, dominant flood seasons must be adequately defined. A global approach is adopted here, using the PCR-GLOBWB model to define spatial and temporal characteristics of major flood seasons globally. The main flood season is identified using a volume-based threshold technique. In comparison with observations, 40% (50%) of locations at a station (sub-basin) scale have identical peak months and 81% (89%) are within 1 month, indicating strong agreement between model and observed flood seasons. Model defined flood seasons are additionally found to well represent actual flood records from the Dartmouth Flood Observatory, further substantiating the models ability to reproduce the appropriate flood season. Minor flood seasons are also defined for regions with bi-modal streamflow climatology. Properly defining flood seasons can lead to prediction through association of streamflow with local and large-scale hydroclimatic indicators, and eventual integration into early warning systems for informed advanced planning and management. This is especially attractive for regions with limited observations and/or little capacity to develop early warning flood systems.

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Mejdi, Abderrazak, Luca Alimonti, and Bryce Gardner. "Vibro-acoustic modeling of aircraft structures using Finite Element- informed Statistical Energy Analysis." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 3 (August 1, 2021): 3479–87. http://dx.doi.org/10.3397/in-2021-2417.

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This paper addresses the problem of predicting the structure born and airborne sound transmission in aircraft using Statistical Energy Analysis (SEA). Often analytical formulations are used to approximate the SEA parameters. In the present prediction method, a finite element (FE)-informed SEA approach is employed. To compute the coupling coefficient, the structure is represented with a repetition of unit cell and an FE model of the unit cell is assigned to evaluate the direct field dynamic stiffness matrix of the SEA subsystems at the connections. An efficient strategy is employed to determine the equivalent material properties of the FE model. Thus, a two-dimensional unit cells of different constructions such as composite, sandwich, visco-elastic laminate and ribbed section sections can be used. To evaluate the equivalent properties of multilayers structures, each layer is assumed as thick laminate with orthotropic orientation. Moreover, rotational inertia and transversal shearing, membrane and bending deformations are accounted for. First order shear deformation theory is employed. The developed approach handles symmetrical layouts of unlimited number of transversal compressible or incompressible layers. The accuracy of this modeling approach is confirmed through comparison to alternate validated theoretical approaches. Representative examples of spacecraft structural response and interior noise predictions for typical load cases are shown and the use of SEA models as a tool for guiding construction of complex structures to meet acoustic performance targets and optimize designs are presented. Conclusions about the application and advantages of this approach is presented.

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Qian, Zhong Sheng, and Huai Kou Miao. "Towards Testing Web Applications: A PFSM-Based Approach." Advanced Materials Research 204-210 (February 2011): 220–24. http://dx.doi.org/10.4028/www.scientific.net/amr.204-210.220.

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To ensure the quality of Web applications, Web testing is one of the effective methods. This paper proposes a Web usage model based on probable FSM (PFSM) which provides a way to derive the test cases for a Web application. The testing process is based on the idea that different parts of the Web application have different execution frequency. This testing method is a significant contribution to informed research.

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Cassese, Alberto, Michele Guindani, and Marina Vannucci. "A Bayesian Integrative Model for Genetical Genomics with Spatially Informed Variable Selection." Cancer Informatics 13s2 (January 2014): CIN.S13784. http://dx.doi.org/10.4137/cin.s13784.

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We consider a Bayesian hierarchical model for the integration of gene expression levels with comparative genomic hybridization (CGH) array measurements collected on the same subjects. The approach defines a measurement error model that relates the gene expression levels to latent copy number states. In turn, the latent states are related to the observed surrogate CGH measurements via a hidden Markov model. The model further incorporates variable selection with a spatial prior based on a probit link that exploits dependencies across adjacent DNA segments. Posterior inference is carried out via Markov chain Monte Carlo stochastic search techniques. We study the performance of the model in simulations and show better results than those achieved with recently proposed alternative priors. We also show an application to data from a genomic study on lung squamous cell carcinoma, where we identify potential candidates of associations between copy number variants and the transcriptional activity of target genes. Gene ontology (GO) analyses of our findings reveal enrichments in genes that code for proteins involved in cancer. Our model also identifies a number of potential candidate biomarkers for further experimental validation.

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Washburn, Jacob D., Maria Katherine Mejia-Guerra, Guillaume Ramstein, Karl A. Kremling, Ravi Valluru, Edward S. Buckler, and Hai Wang. "Evolutionarily informed deep learning methods for predicting relative transcript abundance from DNA sequence." Proceedings of the National Academy of Sciences 116, no. 12 (March 6, 2019): 5542–49. http://dx.doi.org/10.1073/pnas.1814551116.

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Deep learning methodologies have revolutionized prediction in many fields and show potential to do the same in molecular biology and genetics. However, applying these methods in their current forms ignores evolutionary dependencies within biological systems and can result in false positives and spurious conclusions. We developed two approaches that account for evolutionary relatedness in machine learning models: (i) gene-family–guided splitting and (ii) ortholog contrasts. The first approach accounts for evolution by constraining model training and testing sets to include different gene families. The second approach uses evolutionarily informed comparisons between orthologous genes to both control for and leverage evolutionary divergence during the training process. The two approaches were explored and validated within the context of mRNA expression level prediction and have the area under the ROC curve (auROC) values ranging from 0.75 to 0.94. Model weight inspections showed biologically interpretable patterns, resulting in the hypothesis that the 3′ UTR is more important for fine-tuning mRNA abundance levels while the 5′ UTR is more important for large-scale changes.

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Johnston, Curtis K., Rena J. Eudy-Byrne, Ahmed Elmokadem, Valerie Nock, Jan Marquard, Nima Soleymanlou, Matthew M. Riggs, and Karl-Heinz Liesenfeld. "A Model-Informed Drug Development (MIDD) Approach for a Low Dose of Empagliflozin in Patients with Type 1 Diabetes." Pharmaceutics 13, no. 4 (April 2, 2021): 485. http://dx.doi.org/10.3390/pharmaceutics13040485.

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In clinical trials, sodium-glucose co-transporter (SGLT) inhibitor use as adjunct to insulin therapy in type 1 diabetes (T1D) provides glucometabolic benefits while diabetic ketoacidosis risk is increased. The SGLT2 inhibitor empagliflozin was evaluated in two phase III trials: EASE-2 and EASE-3. A low, 2.5-mg dose was included in EASE-3 only. As the efficacy of higher empagliflozin doses (i.e., 10 and 25 mg) in T1D has been established in EASE-2 and EASE-3, a modeling and simulation approach was used to generate additional supportive evidence on efficacy for the 2.5-mg dose. We present the methodology behind the development and validation of two modeling and simulation frameworks: M-EASE-1, a semi-mechanistic model integrating information on insulin, glucose, and glycated hemoglobin; and M-EASE-2, a descriptive model informed by prior information. Both models were developed independently of data from EASE-3. Simulations based on these models assessed efficacy in untested clinical trial scenarios. In this manner, the models provide supportive evidence for efficacy of low-dose empagliflozin 2.5 mg in patients with T1D, illustrating how pharmacometric analyses can support efficacy assessments in the context of limited data.

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Zunino, Andrea, Klaus Mosegaard, Katrine Lange, Yulia Melnikova, and Thomas Mejer Hansen. "Monte Carlo reservoir analysis combining seismic reflection data and informed priors." GEOPHYSICS 80, no. 1 (January 1, 2015): R31—R41. http://dx.doi.org/10.1190/geo2014-0052.1.

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Determination of a petroleum reservoir structure and rock bulk properties relies extensively on inference from reflection seismology. However, classic deterministic methods to invert seismic data for reservoir properties suffer from some limitations, among which are the difficulty of handling complex, possibly nonlinear forward models, and the lack of robust uncertainty estimations. To overcome these limitations, we studied a methodology to invert seismic reflection data in the framework of the probabilistic approach to inverse problems, using a Markov chain Monte Carlo (McMC) algorithm with the goal to directly infer the rock facies and porosity of a target reservoir zone. We thus combined a rock-physics model with seismic data in a single inversion algorithm. For large data sets, the McMC method may become computationally impractical, so we relied on multiple-point-based a priori information to quantify geologically plausible models. We tested this methodology on a synthetic reservoir model. The solution of the inverse problem was then represented by a collection of facies and porosity reservoir models, which were samples of the posterior distribution. The final product included probability maps of the reservoir properties in obtained by performing statistical analysis on the collection of solutions.

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Acciaio, Beatrice, Alexander M. G. Cox, and Martin Huesmann. "Model-independent pricing with insider information: a skorokhod embedding approach." Advances in Applied Probability 53, no. 1 (March 2021): 30–56. http://dx.doi.org/10.1017/apr.2020.50.

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AbstractIn this paper we consider the pricing and hedging of financial derivatives in a model-independent setting, for a trader with additional information, or beliefs, on the evolution of asset prices. In particular, we suppose that the trader wants to act in a way which is independent of any modelling assumptions, but that she observes market information in the form of the prices of vanilla call options on the asset. We also assume that both the payoff of the derivative, and the insider’s information or beliefs, which take the form of a set of impossible paths, are time-invariant. In this way we accommodate drawdown constraints, as well as information/beliefs on quadratic variation or on the levels hit by asset prices. Our setup allows us to adapt recent work of [12] to prove duality results and a monotonicity principle. This enables us to determine geometric properties of the optimal models. Moreover, for specific types of information, we provide simple conditions for the existence of consistent models for the informed agent. Finally, we provide an example where our framework allows us to compute the impact of the information on the agent’s pricing bounds.

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Angus, Lynne, Jennifer Lewin, Tali Boritz, Emily Bryntwick, Naomi Carpenter, James Watson-Gaze, and Les Greenberg. "Narrative Processes Coding System: A Dialectical Constructivist Approach to Assessing Client Change Processes in Emotion-Focused Therapy of Depression." Research in Psychotherapy: Psychopathology, Process and Outcome 15, no. 2 (February 17, 2013): 54–61. http://dx.doi.org/10.4081/ripppo.2012.105.

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Drawing on a Dialectical Constructivist model of therapeutic change, this paper addresses the fundamental contributions of client narrative disclosure, emotional differentiation and reflexive meaning-making processes in emotion-focused treatments of depression. An overview of the multi-methodological steps undertaken to empirically investigate the contributions of client storytelling, emotional differentiation, and meaning-making processes, using the Narrative Processes Coding System (NPCS; Angus et al., 1999) are provided, followed by a summary of key research findings that informed the development of a narrative-informed approach to emotion-focused therapy of depression (Angus & Greenberg, 2011). Finally, therapy practice implications for the adoption of a research-informed approach to working with narrative and emotion processes in emotion-focused therapy are described and future research directions discussed.

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Corbett, John P., Patricio Colmegna, Jose Garcia-Tirado, and Marc D. Breton. "Anticipating Meals with Behavioral Profiles in an Artificial Pancreas System - An Informed Multistage Model Predictive Control Approach." IFAC-PapersOnLine 53, no. 2 (2020): 16305–10. http://dx.doi.org/10.1016/j.ifacol.2020.12.652.

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Journal articles on the topic 'Model informed approach'

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