University of Coimbra

About: University of Coimbra is a education organization based out in Coimbra, Portugal. It is known for research contribution in the topics: Population & Context (language use). The organization has 14318 authors who have published 43067 publications receiving 994733 citations. The organization is also known as: UC & Universidade dos Estudos Gerais.

Semantic segmentation with second-order pooling

Abstract: Feature extraction, coding and pooling, are important components on many contemporary object recognition paradigms. In this paper we explore novel pooling techniques that encode the second-order statistics of local descriptors inside a region. To achieve this effect, we introduce multiplicative second-order analogues of average and max-pooling that together with appropriate non-linearities lead to state-of-the-art performance on free-form region recognition, without any type of feature coding. Instead of coding, we found that enriching local descriptors with additional image information leads to large performance gains, especially in conjunction with the proposed pooling methodology. We show that second-order pooling over free-form regions produces results superior to those of the winning systems in the Pascal VOC 2011 semantic segmentation challenge, with models that are 20,000 times faster.

Neuroinflammation, oxidative stress and the pathogenesis of Alzheimer's disease.

Abstract: Alzheimers disease (AD) is the most common neurodegenerative disorder that affects the elderly. The increase of lifeexpectancy is transforming AD into a major health-care problem. AD is characterized by a progressive impairment of memory and other cognitive skills leading to dementia. The major pathogenic factor associated to AD seems to be amyloid-beta peptide (Aβ) oligomers that tend to accumulate extracellularly as amyloid deposits and are associated with reactive microglia and astrocytes as well as with degeneration of neuronal processes. The involvement of microglia and astrocytes in the onset and progress of neurodegenerative process in AD is becoming increasingly recognized, albeit it is commonly accepted that neuroinflammation and oxidative stress can have both detrimental and beneficial influences on the neural tissue. However, little is known about the interplay of microglia, astrocytes and neurons in response to Aβ, especially in the early phases of AD. This review discusses current knowledge about the involvement of neuroinflammation in AD pathogenesis, focusing on phenotypic and functional responses of microglia, astrocytes and neurons in this process. The abnormal production by glia cells of pro-inflammatory cytokines, chemokines and the complement system, as well as reactive oxygen and nitrogen species, can disrupt nerve terminals activity causing dysfunction and loss of synapses, which correlates with memory decline; these are phenomena preceding the neuronal death associated with late stages of AD. Thus, therapeutic strategies directed at controlling the activation of microglia and astrocytes and the excessive production of pro-inflammatory and pro-oxidant factors may be valuable to control neurodegeneration in dementia.

Constraints on the symmetry energy and neutron skins from experiments and theory

Abstract: The symmetry energy contribution to the nuclear equation of state impacts various phenomena in nuclear astrophysics, nuclear structure, and nuclear reactions. Its determination is a key objective of contemporary nuclear physics, with consequences for the understanding of dense matter within neutron stars. We examine the results of laboratory experiments that have provided initial constraints on the nuclear symmetry energy and on its density dependence at and somewhat below normal nuclear matter density. Even though some of these constraints have been derived from properties of nuclei while others have been derived from the nuclear response to electroweak and hadronic probes, within experimental uncertainties-they are consistent with each other. We also examine the most frequently used theoretical models that predict the symmetry energy and its slope parameter. By comparing existing constraints on the symmetry pressure to theories, we demonstrate how contributions of three-body forces, which are essential ingredients in neutron matter models, can be determined.

Multisensor-integrated organs-on-chips platform for automated and continual in situ monitoring of organoid behaviors

Abstract: Organ-on-a-chip systems are miniaturized microfluidic 3D human tissue and organ models designed to recapitulate the important biological and physiological parameters of their in vivo counterparts. They have recently emerged as a viable platform for personalized medicine and drug screening. These in vitro models, featuring biomimetic compositions, architectures, and functions, are expected to replace the conventional planar, static cell cultures and bridge the gap between the currently used preclinical animal models and the human body. Multiple organoid models may be further connected together through the microfluidics in a similar manner in which they are arranged in vivo, providing the capability to analyze multiorgan interactions. Although a wide variety of human organ-on-a-chip models have been created, there are limited efforts on the integration of multisensor systems. However, in situ continual measuring is critical in precise assessment of the microenvironment parameters and the dynamic responses of the organs to pharmaceutical compounds over extended periods of time. In addition, automated and noninvasive capability is strongly desired for long-term monitoring. Here, we report a fully integrated modular physical, biochemical, and optical sensing platform through a fluidics-routing breadboard, which operates organ-on-a-chip units in a continual, dynamic, and automated manner. We believe that this platform technology has paved a potential avenue to promote the performance of current organ-on-a-chip models in drug screening by integrating a multitude of real-time sensors to achieve automated in situ monitoring of biophysical and biochemical parameters.