Programs

• III International Symposium on Bovine Health, AO.R
• FAPESP Week Alemanha 2025, AR.EXT

• Abstract

  The proposed collaboration project between NOVA University and the University of São Paulo aims to advance the theoretical understanding of electron interactions, with significant implications for astrochemistry and nanotechnology. This interdisciplinary initiative seeks to empower researchers and the scientific community by fostering knowledge exchange, skill development, and the applica…

  Electron interactions with isolated molecular targets: applying theory to the experiment, AV.EXT

(Only some records are available in English at this moment)

• Abstract

  The process of new drug discovery is complex and faces significant challenges, such as a high failure rate and limitations in preclinical steps through the use of conventional methods such as 2D cell culture and animal testing. Although they play an important role in basic research, both formats have several limitations, especially the mimicry of human physiology. To overcome these limita…

  Development of a multi-organ chip connected by vascularized channels for application in personalized medicine., BP.DD

• Abstract

  The main goal of this project is to create extreme risk maps of the combined effect of drought-heat integrated with human perception of these events. The aim of this project is to monitor the confluence of these extremes, as it achieves extreme values synchronized, on a risk map designed in multiscale which covers Brazilian states, biomes and cities. Human perception will be incorporated …

  The climatic impact of drought and heat waves and the perception of thermal comfort in Brazil., BP.PD

• Abstract

  Studies on isolated tissues from mammals and reptiles have reported the presence and/or vasoactive function of endothelium-derived catecholamines, such as dopamine, noradrenaline and adrenaline, as well as recent findings (6-nitrodopamine - 6-ND, 6-cyanodopamine, 6-bromodopamine, 6-nitrodopa, and 6-nitroadrenaline). The presence of catecholamines in ectotherms and endotherms vasculature s…

  CHARACTERIZATION OF VASCULAR MODULATORS IN THE PULMONARY CIRCUIT IN ECTOTHERMIC TETRAPODS, BP.PD

(Only some records are available in English at this moment)

• Abstract

  Magnetic Resonance Imaging is a linear inverse problem that can be modeled by Bayesian inference. Assuming the noise and solution's distribution leads to variational regularization problems, for which appropriate optimization methods are known. With machine learning techniques, such as diffusion and score-based models, one can estimate the solution's distribution from data. However, the v…

  Efficient Iterative Reconstruction Algorithms for Magnetic Resonance Imaging, BE.EP.DR

• Abstract

  This project addresses issues that arise in the context of industrial production planning, involving extensions of the lot sizing problem. In general, within the industrial context, the lot sizing problem involves determining the quantity of products to be produced in each period over a finite time horizon, in order to meet a certain demand and optimize an objective function, such as mini…

  A Stochastic Approach to Lot-Sizing Decisions Under Demand Uncertainty, BE.PQ

• Abstract

  The continued growth of Internet traffic is driving telecom operators to provide robust, cost-effective, and performance-adaptive connectivity solutions to meet the Quality of Service requirements of applications. As a result, the risk of a capacity bottleneck is growing, which means that Internet technologies will not be able to satisfy the ever-growing demand for capacity. Optical netwo…

  Machine Learning as a Crucial Enabler for the Future Fiber-Optic Communication Systems, BE.PQ

(Only some records are available in English at this moment)