Results 41 to 50 of about 334,309 (266)
Modeling Love with 4D Dynamical System
Chaos Theory and Applications, 2022 The dynamical modeling of romantic relationships is explained with a differential equation system designed to explain the development of love/hate feeling between two people over time.
Kadir Can Erbaş
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Proceedings of the 16th International Software Product Line Conference - Volume 2, 2012 Abstract Delta Modeling (ADM) offers an algebraic description of how a (software) product line may be built so that every product can be automatically derived by structured reuse of code. In traditional application engineering a single valid feature configuration is chosen, which does not change during the lifetime of the product.
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Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus +6 more
wiley +1 more source
Discrete Dynamics in Nature and Society, 2020 We propose a mathematical model that describes the dynamics of citizens who have the right to register on the electoral lists and participate in the political process and the negative influence of abstainers, who abstain from registration on the ...
Omar Balatif +2 more
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Modeling dynamical scalarization with a resummed post-Newtonian expansion [PDF]
, 2016 Despite stringent constraints set by astrophysical observations, there remain viable scalar-tensor theories that could be distinguished from general relativity with gravitational-wave detectors.
Buonanno, Alessandra, Sennett, Noah
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Multiregression Dynamic Models
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1993 SUMMARY Multiregression dynamic models are defined to preserve certain conditional independence structures over time across a multivariate time series. They are non-Gaussian and yet they can often be updated in closed form. The first two moments of their one-step-ahead forecast distribution can be easily calculated. Furthermore, they can
Queen, Catriona M., Smith, Jim Q.
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Ongoing evidence indicates increased risk of sarcopenic obesity among children and young people (CYP) with acute lymphoblastic leukemia (ALL), often beginning early in treatment, persisting into survivorship. This review evaluates current literature on body composition in CYP with ALL during and after treatment.
Lina A. Zahed +5 more
wiley +1 more source
, 2018 Since holography yields exact results, even in situations where perturbation theory is not applicable, it is an ideal framework for modeling strongly correlated systems.
Gran, Ulf +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Psychological safety (PS) is essential for teamwork, communication, and patient safety in complex healthcare environments. In pediatric oncology, interprofessional collaboration occurs under high emotional and organizational demands. Low PS may increase stress, burnout, and adverse events.
Alexandros Rahn +4 more
wiley +1 more source
ITEGAM-JETIAThis study investigates the impact of deep learning model architectures and optimization techniques on financial time series forecasting, with a focus on Transformer-based models and Long Short-Term Memory networks.
Rabia Nichani +3 more
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