Marcelo A. C. Fernandes
YOU?
Author Swipe
View article: Delayed growth of SK-ES-1 Ewing sarcoma tumors associated with reduced expression and activity of Trk receptors, PI3K, and IGF1R
Delayed growth of SK-ES-1 Ewing sarcoma tumors associated with reduced expression and activity of Trk receptors, PI3K, and IGF1R Open
Ewing sarcoma (ES) is an aggressive childhood tumor. We have previously shown that tropomyosin receptor kinase (Trk) neurotrophin receptors regulate viability, and the pan-Trk and kinase inhibitor K252a restores sensitivity to chemotherapy…
View article: Cuidados paliativos perinatais no contexto obstétrico
Cuidados paliativos perinatais no contexto obstétrico Open
Os cuidados paliativos perinatais maximizam a qualidade e conforto em situações de condições limitantes da vida. Este estudo constitui uma scoping review e tem como objetivo mapear as intervenções da equipa multidisciplinar em cuidados pal…
View article: Unveiling the potential of olive oil production residues as adsorbent materials for water treatment: A literature review
Unveiling the potential of olive oil production residues as adsorbent materials for water treatment: A literature review Open
View article: Ostracismo no local de trabalho: uma revisão sistemática
Ostracismo no local de trabalho: uma revisão sistemática Open
O ostracismo no local de trabalho constitui uma forma subtil, mas profundamente impactante, de exclusão social, caracterizado pela omissão deliberada de interação e reconhecimento. Ao contrário de formas mais visíveis de abuso laboral, com…
View article: Ostracismo no local de trabalho: uma revisão sistemática
Ostracismo no local de trabalho: uma revisão sistemática Open
O ostracismo no local de trabalho constitui uma forma subtil, mas profundamente impactante, de exclusão social, caracterizado pela omissão deliberada de interação e reconhecimento. Ao contrário de formas mais visíveis de abuso laboral, com…
View article: Opposite patterns of association of <i>TWIST1</i> expression with patient survival in SHH and Group 4 medulloblastoma
Opposite patterns of association of <i>TWIST1</i> expression with patient survival in SHH and Group 4 medulloblastoma Open
Purpose Twist1 is a transcription factor that regulates embryonic development, stemness, and differentiation, and can also stimulate initiation of tumorigenesis in peripheral solid cancers. However, its role in central nervous system tumor…
View article: New Approach of Blind Adaptive Equalizer Based on Genetic Algorithms
New Approach of Blind Adaptive Equalizer Based on Genetic Algorithms Open
This paper introduces a novel approach to blind adaptive equalization for digital communication systems using genetic algorithms (GAs). Unlike traditional methods that rely on linear programming and suffer from local minima issues, this te…
View article: Modulation of Stemness and Differentiation Regulators by Valproic Acid in Medulloblastoma Neurospheres
Modulation of Stemness and Differentiation Regulators by Valproic Acid in Medulloblastoma Neurospheres Open
Changes in epigenetic processes such as histone acetylation are proposed as key events influencing cancer cell function and the initiation and progression of pediatric brain tumors. Valproic acid (VPA) is an antiepileptic drug that acts pa…
View article: A Real-Time Safe Navigation Proposal for Mobile Robots in Unknown Environments Using Meta-Heuristics
A Real-Time Safe Navigation Proposal for Mobile Robots in Unknown Environments Using Meta-Heuristics Open
Autonomous navigation in mobile robots represents a significant challenge in unknown and dynamic environments, where the need to avoid obstacles and find safe trajectories in real-time requires efficient solutions. This work presents the M…
View article: Feature Selection in Cancer Classification: Utilizing Explainable Artificial Intelligence to Uncover Influential Genes in Machine Learning Models
Feature Selection in Cancer Classification: Utilizing Explainable Artificial Intelligence to Uncover Influential Genes in Machine Learning Models Open
This study investigates the use of machine learning (ML) models combined with explainable artificial intelligence (XAI) techniques to identify the most influential genes in the classification of five recurrent cancer types in women: breast…
View article: Review of: "Evaluation of Molecular Docking by Deep Learning and Random Forests: A Hybrid Approach Based on Pseudo-Convolutions"
Review of: "Evaluation of Molecular Docking by Deep Learning and Random Forests: A Hybrid Approach Based on Pseudo-Convolutions" Open
View article: A Novel Training Strategy for Deep Learning Model Compression Applied to Automatic Modulation Classification
A Novel Training Strategy for Deep Learning Model Compression Applied to Automatic Modulation Classification Open
Deep learning techniques, such as deep neural networks (DNNs), have proven highly effective in addressing various automatic modulation classification challenges. However, their computational demands pose a significant hurdle for real-time …
View article: High Expression of GABAA Receptor β Subunit Genes Is Associated with Longer Overall Survival in Medulloblastoma
High Expression of GABAA Receptor β Subunit Genes Is Associated with Longer Overall Survival in Medulloblastoma Open
Background/Objectives: Most of the rapid inhibitory neurotransmission in the brain is mediated through activation of the γ-aminobutyric acid (GABA) type A (GABAA) receptor, which is a ligand-gated ion channel. GABAA receptor activation via…
View article: Virtualized 5G Tesbed using OpenAirInterface: Tutorial and Benchmarking Tests
Virtualized 5G Tesbed using OpenAirInterface: Tutorial and Benchmarking Tests Open
The development of 5G and its evolutionary path to 6G brings virtualization as close as possible to the antennas. Native 3GPP systems are now software running at servers boosted by accelerator cards to cope with computationally intense sig…
View article: Real-Time Simulator for Dynamic Systems on FPGA
Real-Time Simulator for Dynamic Systems on FPGA Open
This work presents the development of an embedded platform using Field Programmable Gate Arrays (FPGAs) for real-time simulation of dynamic systems in industrial plants. The platform, Real-Time Simulator for Dynamic Systems in FPGA (RTSDS-…
View article: Modulation of Stemness and Differentiation Regulators by Valproic Acid in Medulloblastoma Neurospheres
Modulation of Stemness and Differentiation Regulators by Valproic Acid in Medulloblastoma Neurospheres Open
Changes in epigenetic processes such as histone acetylation are proposed as key events influencing cancer cell function and the initiation and progression of pediatric brain tumors. Valproic acid (VPA) is an antiepileptic drug that acts pa…
View article: Application of Fuzzy Logic for Horizontal Scaling in Kubernetes Environments within the Context of Edge Computing
Application of Fuzzy Logic for Horizontal Scaling in Kubernetes Environments within the Context of Edge Computing Open
This paper presents a fuzzy logic-based approach for replica scaling in a Kubernetes environment, focusing on integrating Edge Computing. The proposed FHS (Fuzzy-based Horizontal Scaling) system was compared to the standard Kubernetes scal…
View article: SHA-256 Hardware Proposal for IoT Devices in the Blockchain Context
SHA-256 Hardware Proposal for IoT Devices in the Blockchain Context Open
This work proposes an implementation of the SHA-256, the most common blockchain hash algorithm, on a field-programmable gate array (FPGA) to improve processing capacity and power saving in Internet of Things (IoT) devices to solve security…
View article: Stemness and Cell Cycle Regulators and Their Modulation by Retinoic Acid in Ewing Sarcoma
Stemness and Cell Cycle Regulators and Their Modulation by Retinoic Acid in Ewing Sarcoma Open
Retinoic acid (RA) regulates stemness and differentiation in human embryonic stem cells (ESCs). Ewing sarcoma (ES) is a pediatric tumor that may arise from the abnormal development of ESCs. Here we show that RA impairs the viability of SK-…
View article: A New and Lightweight R-Peak Detector Using the TEDA Evolving Algorithm
A New and Lightweight R-Peak Detector Using the TEDA Evolving Algorithm Open
The literature on ECG delineation algorithms has seen significant growth in recent decades. However, several challenges still need to be addressed. This work aims to propose a lightweight R-peak-detection algorithm that does not require pr…
View article: Gene Expression of GABAA Receptor Subunits and Association with Patient Survival in Glioma
Gene Expression of GABAA Receptor Subunits and Association with Patient Survival in Glioma Open
Rapid neuronal inhibition in the brain is mediated by γ-aminobutyric acid (GABA) activation of GABAA receptors. The GABRA5 gene, which encodes the α5 subunit of the GABAA receptor, has been implicated in an aggressive subgroup of medullobl…
View article: Gene Sequence to 2D Vector Transformation for Virus Classification
Gene Sequence to 2D Vector Transformation for Virus Classification Open
Background DNA sequences harbor vital information regarding various organisms and viruses. The ability to analyze extensive DNA sequences using methods amenable to conventional computer hardware has proven invaluable, especially in timely …
View article: Gene Expression of CSF3R/CD114 Is Associated with Poorer Patient Survival in Glioma
Gene Expression of CSF3R/CD114 Is Associated with Poorer Patient Survival in Glioma Open
Gliomas comprise most cases of central nervous system (CNS) tumors. Gliomas afflict both adults and children, and glioblastoma (GBM) in adults represents the clinically most important type of malignant brain cancer, with a very poor progno…
View article: Aprendizagem de máquina aplicada à estratificação de risco de mortalidade de recém-nascidos associados a partos prematuros
Aprendizagem de máquina aplicada à estratificação de risco de mortalidade de recém-nascidos associados a partos prematuros Open
Este artigo apresenta um estudo que utiliza técnicas de aprendizado de máquina não supervisionado, com foco na técnica t-SNE, para estratificar o risco de mortalidade em recém-nascidos prematuros. A metodologia adotada envolve a coleta de …
View article: Obtenção de novos potenciais biomarcadores para o câncer de mama com o auxílio da inteligência artificial explicável
Obtenção de novos potenciais biomarcadores para o câncer de mama com o auxílio da inteligência artificial explicável Open
O câncer de mama é a neoplasia maligna mais comum em ambos os sexos, representando um quarto dos diagnósticos de câncer em mulheres. Para melhorar a identificação e o desenvolvimento de terapias mais eficazes, e fundamental encontrar poten…
View article: IA explicável aplicada para identificar genes influentes na classificação do câncer por meio de dados de expressão gênica de RNA-Seq
IA explicável aplicada para identificar genes influentes na classificação do câncer por meio de dados de expressão gênica de RNA-Seq Open
Este artigo faz uso de três técnicas de aprendizagem de máquina (Machine Learnig – ML) para classificar os cinco tipos de câncer mais recorrentes em mulheres, a partir de dados de expressão gênica de RNA-Seq. Os desafios incluem: alta dime…
View article: Self-Organising Maps Applied to the Stratification of Preterm Birth Risk in Brazil with Socioeconomic Data
Self-Organising Maps Applied to the Stratification of Preterm Birth Risk in Brazil with Socioeconomic Data Open
Preterm birth (PTB) poses risks and difficulties for the survival of the newborn baby. Despite considerable progress in research, the causes of PTB still need to be fully understood. PTB risk is believed to be multi-faceted and may be link…
View article: Lógica Fuzzy Aplicada a Escalonamento Horizontal
Lógica Fuzzy Aplicada a Escalonamento Horizontal Open
Este trabalho apresenta uma abordagem baseada em lógica Fuzzy para o escalonamento de réplicas em um ambiente Kubernetes. O sistema proposto, denominado FHS (Fuzzy-based Horizontal Scaling), foi comparado ao mecanismo padrão de escalonamen…
View article: Escalonamento Horizontal em Kubernetes com Redes Neurais Artificiais para Predição de Carga
Escalonamento Horizontal em Kubernetes com Redes Neurais Artificiais para Predição de Carga Open
Este artigo apresenta uma abordagem inovadora para o escalonamento horizontal automático em cluster Kubernetes (K8s), utilizando Redes Neurais Artificiais. A proposta é chamada de ANN-HS e em comparação com o Escalonador Horizontal padrão …
View article: Proposta de Planejamento Dinâmico de Navegação para Robôs Móveis Terrestres baseada em Otimização por Enxame de Partículas
Proposta de Planejamento Dinâmico de Navegação para Robôs Móveis Terrestres baseada em Otimização por Enxame de Partículas Open