A5090417570- Functional Brain Connectivity Studies
- Mental Health Research Topics
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Plant Virus Research Studies
- Graphite, nuclear technology, radiation studies
- Education and Digital Technologies
- Advanced Neuroimaging Techniques and Applications
- Neurotransmitter Receptor Influence on Behavior
- Attention Deficit Hyperactivity Disorder
- Hearing Impairment and Communication
- Psychedelics and Drug Studies
- Chemistry Education and Research
- Global Energy Security and Policy
- Bioinformatics and Genomic Networks
- Educational Practices and Policies
- Cocoa and Sweet Potato Agronomy
- Innovative Teaching Methods
- Psychology and Mental Health
- Urban and sociocultural dynamics
- Environmental Sustainability and Education
- Global Energy and Sustainability Research
- Science and Education Research
- History and advancements in chemistry
- Bacteriophages and microbial interactions
Universidade Estadual de Santa Cruz
2021-2025
Heinrich Heine University Düsseldorf
2024
Universidade Federal de São Carlos
2024
Universidade de São Paulo
2021-2024
Universidade Federal de Minas Gerais
2024
Universidade do Estado do Rio de Janeiro
2024
Estácio (Brazil)
2024
Universidade Federal do Rio de Janeiro
2024
Southwest Bahia State University
2024
Universidade Federal do Piauí
2024
Abstract Autism is a multifaceted neurodevelopmental condition whose accurate diagnosis may be challenging because the associated symptoms and severity vary considerably. The wrong can affect families educational system, raising risk of depression, eating disorders, self-harm. Recently, many works have proposed new methods for autism based on machine learning brain data. However, these focus only one pairwise statistical metric, ignoring network organization. In this paper, we propose method...
(SCZ) is a severe mental disorder associated with persistent or recurrent psychosis, hallucinations, delusions, and thought disorders that affect approximately 26 million people worldwide, according to the World Health Organization. Several studies encompass machine learning (ML) deep algorithms automate diagnosis of this disorder. Others study SCZ brain networks get new insights into dynamics information processing in individuals suffering from condition. In paper, we offer rigorous...
The deaf student’s educational basis lies in Libras, a linguistic system grounded the visual-spatial modality. Despite being legally recognized for over 20 years, this language still lacks signs scientific terms, including essential topics chemistry teaching, making it difficult individuals to grasp science. According literature, terminological scarcity indicates need studies aimed at expanding lexical repertoire of Libras. In direction, research produce chemical terms Libras contribute...
Abstract Autism subtypes, including general Spectrum Disorder (ASD) and Asperger Syndrome (AS), exhibit distinct neural connectivity patterns. This study is the first to systematically integrate Topological Data Analysis (TDA) with complex network measures machine learning (ML) investigate brain lateralization differences among these subtypes. Using fMRI-derived matrices, TDA metrics—such as persistence entropy fractal dimension—revealed that AS networks are highly integrated hierar-chically...
Cocoa (Theobroma cacao L.) is a major agricultural commodity, essential for the global chocolate industry and livelihoods of millions farmers. However, viral diseases pose significant threat to cocoa production, with Badnavirus species causing severe losses in Africa. Despite its economic importance, overall virome T. remains poorly characterized, limiting our understanding diversity potential disease interactions. This study aims assess cocoa-associated by analyzing 109 publicly available...
Abstract There is a growing interest in the medical use of psychedelic substances, as preliminary studies using them for psychiatric disorders have shown positive results. In particular, one these substances N, N-dimethyltryptamine (DMT), an agonist serotonergic that can induce profound alterations state consciousness. 


In this work, we exploratory tool to reveal DMT-induced changes brain activity EEG data and provide new insights into mechanisms action substance....
Abstract The dynamical approach represents a new branch in the understanding of functional brain networks. Using simple indices to represent time connectivity and topological stability, we evaluated hypothesis increased stability during meditative state comparison relaxation state. We used way consider evolution synchronization patterns electroencephalography (EEG) data. time-varying graph motif method were combined build set graphs representing for 29 EEG electrodes. analysed these...
Neurodevelopmental conditions, such as Autism Spectrum Disorder (ASD) and Attention Deficit Hyperactivity (ADHD), present unique challenges due to overlapping symptoms, making an accurate diagnosis targeted intervention difficult. Our study employs advanced machine learning techniques analyze functional magnetic resonance imaging (fMRI) data from individuals with ASD, ADHD, typically developed (TD) controls, totaling 120 subjects in the study. Leveraging multiclass classification (ML)...
The present work aims to provide a brief case study of distribution center major Brazilian pharmaceutical retail company. Initially, quick literature review is presented regarding the fundamental concepts Logistics, as well its primary activities according most traditional literature, concept center, and important characteristics for proper functioning, finally, delimitation lean philosophy, elucidating key points be used in implementation. showed that, within context continuous...
This study reports the virome investigation of pollinator species and other floral visitors associated with plants from south Bahia:
Abstract Heart disease, also known as cardiovascular encompasses a variety of heart conditions that can result in sudden death for many people. Examples include high blood pressure, ischaemia, irregular heartbeats and pericardial effusion. Electrocardiogram (ECG) signal analysis is frequently used to diagnose diseases, providing crucial information on how the functions. To analyse ECG signals, quantile graphs (QGs) method maps time series into network based time-series fluctuation...
Accessibility is crucial to ensure that all users have interfaces meet their needs and preferences, promoting inclusion in sociocultural spaces. In the context of healthcare services Guanambi-BA, deaf individuals face communication difficulties due lack accessibility identification signs, which are written only Portuguese, excluding those who use Brazilian Sign Language (Libras) as first language. This creates barriers compromise autonomy quality life these individuals. Faced with this...
This paper deals with the contributions, challenges, and reflections experienced during completion of Supervised Internship II, by a student Chemistry Teaching degree program at Federal Institute science technology education Bahia, Guanambi campus. curriculum component is subdivided into theoretical part through seminars on teaching activities, practical structured in moments observations practice, including an interview school director to analyze physical structure documents field school....
The inclusion of deaf people in the Brazilian educational system is guaranteed by use Sign Language (Libras). It important that learning process these students, especially when dealing with abstract concepts such as those related to Chemistry, offered based on teaching tools cover this language. objective work was develop a guide signs Libras, already existing literature, chemistry laboratory materials didactic device aiming promote and facilitate access experimental for students. began...
In order to guarantee the integration of Special Education in regular education schools, as recommended by Law Guidelines and Bases, adaptations methodologies teaching resources are necessary enable active participation all students teaching-learning process. 3D printing technology has proven be a viable resource for this purpose is gaining more space area education. This device contributes modernizing educational spaces through products that within reach teachers students. case Chemistry...
Major depressive disorder (MDD) is a multifaceted condition that affects millions of people worldwide and leading cause disability. There an urgent need for automated objective method to detect MDD due the limitations traditional diagnostic approaches. In this paper, we propose methodology based on machine deep learning classify patients with identify altered functional connectivity patterns from EEG data. We compare several metrics algorithms. Complex network measures are used structural...
Chemistry teaching requires the use of approaches that provide students with conditions so they can critically interpret reality in which live. This implies need to link content worked social context student is inserted. However, practice contextualizing rarely addressed classroom, especially when it comes Organic Chemistry. Therefore, this research aimed propose a didactic intervention based on theme medicinal plants as proposal integrate student's daily life construction knowledge about...
Neurodevelopmental conditions, such as Autism Spectrum Disorder (ASD) and Attention Deficit Hyperactivity (ADHD), present unique challenges due to overlapping symptoms, making an accurate diagnosis targeted intervention difficult. Our study employs advanced machine learning techniques analyze functional magnetic resonance imaging (fMRI) data from individuals with ASD, ADHD, typically developed (TD) controls, totaling 120 subjects in the study. Leveraging multiclass classification (ML)...
Schizophrenia is a severe mental disorder associated with persistent or recurrent psychosis, hallucinations, delusions, and thought disorders that affect approximately 26 million people worldwide, according to the World Health Organization (WHO). Several studies encompass machine learning deep algorithms automate diagnosis of this disorder. Others study schizophrenia brain networks get new insights into dynamics information processing in patients suffering from condition. In paper, we offer...