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Rényi Entropy in Statistical Mechanics.
Rényi entropy was originally introduced in the field of information theory as a parametric relaxation of Shannon (in physics, Boltzmann-Gibbs) entropy. This has also fuelled different attempts to generalise statistical...
Designed beta-hairpins inhibit LDH5 oligomerization and enzymatic activity
Lactate dehydrogenase 5 (LDH5) is overexpressed in aggressive and metastatic tumors and is an attractive target for anticancer therapy. Small molecule drugs have been developed to target the substrate and/or the cofactor sites...
Integration of a Hydrogenase in a Lead Halide Perovskite Photoelectrode for Tandem Solar Water Splitting.
Lead halide perovskite solar cells are notoriously moisture-sensitive, but recent encapsulation strategies have demonstrated their potential application as photoelectrodes in aqueous solution. However, perovskite photoelectrodes...
Designed beta-hairpins inhibit LDH5 oligomerization and enzymatic activity
Lactate dehydrogenase 5 (LDH5) is overexpressed in aggressive and metastatic tumors and is an attractive target for anticancer therapy. Small molecule drugs have been developed to target the substrate and/or the cofactor sites...
Integration of a Hydrogenase in a Lead Halide Perovskite Photoelectrode for Tandem Solar Water Splitting.
Lead halide perovskite solar cells are notoriously moisture-sensitive, but recent encapsulation strategies have demonstrated their potential application as photoelectrodes in aqueous solution. However, perovskite photoelectrodes...
Published by: ACS energy letters
Rényi Entropy in Statistical Mechanics.
Rényi entropy was originally introduced in the field of information theory as a parametric relaxation of Shannon (in physics, Boltzmann-Gibbs) entropy. This has also fuelled different attempts to generalise statistical...
Gene regulatory network inference from sparsely sampled noisy data
Abstract: The complexity of biological systems is encoded in gene regulatory networks. Unravelling this intricate web is a fundamental step in understanding the mechanisms of life and eventually developing efficient therapies to...
Performance of early warning signals for disease re-emergence
Developing measures for rapid and early detection of disease re-emergence is important to perform science-based risk assessment of epidemic threats. In the past few years, several early warning signals (EWS) from complex systems...
Performance of early warning signals for disease re-emergence
Developing measures for rapid and early detection of disease re-emergence is important to perform science-based risk assessment of epidemic threats. In the past few years, several early warning signals (EWS) from complex systems...
Data-driven network models for genetic circuits from time-series data with incomplete measurements.
Synthetic gene networks are frequently conceptualized and visualized as static graphs. This view of biological programming stands in stark contrast to the transient nature of biomolecular interaction, which is frequently enacted...
The management of COVID-19 cases through telemedicine in Brazil.
In Dec 2020 Brazil became one of the worldwide epicenters of the COVID-19 pandemic with more than 7.2M reported cases. Brazil has a large territory with unequal distribution of healthcare resources including physicians. Resource...
Gene regulatory network inference from sparsely sampled noisy data
Abstract: The complexity of biological systems is encoded in gene regulatory networks. Unravelling this intricate web is a fundamental step in understanding the mechanisms of life and eventually developing efficient therapies to...
Elucidating Film Loss and the Role of Hydrogen Bonding of Adsorbed Redox Enzymes by Electrochemical Quartz Crystal Microbalance Analysis.
The immobilization of redox enzymes on electrodes enables the efficient and selective electrocatalysis of useful reactions such as the reversible interconversion of dihydrogen (H2) to protons (H+) and formate to carbon dioxide...
FastField
Deep brain stimulation (DBS) is a surgical therapy to alleviate symptoms of certain brain disorders by electrically modulating neural tissues. Computational models predicting electric fields and volumes of tissue activated are...
A Hybrid End-to-End Approach Integrating Conditional Random Fields into CNNs for Prostate Cancer Detection on MRI
Prostate Cancer (PCa) is the most common oncological disease in Western men. Even though a growing effort has been carried out by the scientific community in recent years, accurate and reliable automated PCa detection methods on...
Gene regulatory network inference from sparsely sampled noisy data.
The complexity of biological systems is encoded in gene regulatory networks. Unravelling this intricate web is a fundamental step in understanding the mechanisms of life and eventually developing efficient therapies to treat and...
Socioeconomic position and sedentary behavior in Brazilian adolescents
Socioeconomic position (SEP) is a potential correlate of sedentary behavior in adolescents. The aim of this study was to examine the associations between SEP and self-reported and objective measures of sedentary behavior in...
Business Process Modeling Supporting the Requirements Elicitation of an Audit System
Requirements elicitation is a highly relevant part of the software development process. Due to the several techniques that exist to perform it, it is necessary to understand the complexity of this activity for it to be well...

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