Dora-Luz Flores

Autonomous University of Baja California | UABC

Magnetic nanoparticles are currently used as building blocks for the fabrication of various functional systems. In this work, magnetic cobalt-zinc ferrite (Co 0.25 Zn 0.75 Fe 2 O 4) and magnetite (Fe 3 O 4) nanoparticles were prepared by the co-precipitation method. After that, the nanoparticles were coated with silica (SiO 2) via a modified Stöber...

A multifractal analysis based on the time series of temperature, pressure, relative humidity, wind speed, and wind direction was performed for 16 weather stations located in the hydrographic basin of the Guadalupe River in Baja California, Mexico. Our analysis included a 38-year dataset from MERRA-2 database, we investigated the multifractal nature...

Wearable systems, such as watch/wristband systems must deal with power consumption and power line interference problems without compromising the form factor of the device and the signal-to-noise ratio (SNR). In this study, we present a preliminary design of a wrist-worn device that simultaneously detects ECG and cardiac pulse. Unlike the systems cu...

Tuberculosis (TB) remains one of the most significant global health problems, posing a significant challenge to public health systems worldwide. However, diagnosing drug-resistant tuberculosis (DR-TB) has become increasingly challenging due to the rising number of multidrug-resistant (MDR-TB) cases, despite the development of new TB diagnostic tool...

Due to the growing need for specialized care in communities that do not have a local radiology service, and the long response times of diagnostic departments, there is a need to provide technologies that help medical diagnosis. In this project, we implement convolutional neural network models for the identification of mammography’s with data sugges...

This book reports on fundamental research, cutting-edge technologies and industrially-relevant applications in biomedical engineering. It covers methods for analysis, modeling and simulation of biological systems, reporting on the development and design of advanced biosensors, nanoparticles and wearable devices. It covers applications in disease mo...

Artificial intelligence and nanotechnology are two areas of science that have changed the world and made life easier during this last decade. Both fields are undergoing significant knowledge expansion, and both bear the promise of a better future for humankind. This research study used convolutional neural networks to classify images of nanostructu...

A fractal analysis based on the time series of precipitation, temperature, pressure, relative humidity, and wind speed was performed for 16 weather stations located in the hydrographic basin of the Guadalupe River in Baja California, Mexico. Days on which the phenomenon known as Santa Ana winds occurs were identified based on the corresponding crit...

The purpose of the this research work was to evaluate the impact of social support (through its two dimensions: co-worker support and supervisor support) on the reduction of the burnout syndrome (considering its three dimensions: emotional exhaustion, professional efficacy, and cynicism) from two proposed models that show clear differences. Social...

A comparative investigation of nanostructural and photoluminescence properties (PL), functionalization, cytotoxicity and cell uptake of Y2O3:Eu³⁺,Bi³⁺ nanoparticles (NPs) fabricated by sol-gel (SG) and combustion synthesis (CS) is reported in this work. A detailed analysis by X-ray diffraction confirmed the formation of pure crystalline cubic phase...

El flujo genético es la transferencia de alelos de genes de una población a otra, el cual influye en la variabilidad genética de una población y con ello de su evolución, dependiendo si hay mayor o menor flujo genético entre los individuos de las poblaciones. Por tal motivo, es importante, determinar tanto la dirección, como la intensidad del flujo...

La implementación de modelos de machine learning (ML) como apoyo al diagnóstico médico permite facilitar el análisis y disminuir errores en el diagnóstico. En este artículo se realiza una revisión sistemática de la eficacia y precisión de los modelos de ML implementados actualmente. Se implementó la metodología PRISMA para la revisión de artículos,...

Resumen El virus de la Hepatitis C (HCV) representa el 20 % de los casos de hepatitis aguda, enfermedad de difícil diagnóstico que afecta a cerca de 170 millones de personas en el mundo. Debido a que solo se detecta en la etapa aguda, es habitual que el tratamiento de la enfermedad sea complicado por lo que es necesario desarrollar herramientas que...

This research was carried out in the Mexican manufacturing industry, the second most important activity in the country's industrial sector, specifically in the transportation equipment manufacturing sub-sector, which generates 19% of the jobs in this industry. Thus, it is important to develop improvement strategies to strengthen the sector's compet...

Multi-mode bioimaging using a combination of two or more imaging techniques is beneficial for taking advantage of each modality by overcoming the individual limitations. It allows visualization of diseased tissue with high specificity making it a powerful strategy for improved disease prognosis. Herein, we report a multimodality probe, Gd2.99Ce0.01...

The central nervous system (CNS) is an extraordinary and complex communication network that receives voluminous amounts of information simultaneously but is vulnerable to disease and injury. This research emphasizes on the importance of gap junctions in neuropathological conditions and neurodegenerative diseases. Namely, we explore the degree of pa...

The use of artificial neural networks (ANNs) has been very helpful in carrying out prediction, classification and data optimization tasks. In this work, ANNs were used to predict the diagnosis for breast cancer in a women population with overweight or obese and possible diabetes, coupled with a pre or postmenopausal stage and compared against other...

Nowadays artificial intelligence has become the iron horse in high-performance computing, solving problems that were impossible 10 years ago. This work uses a deep learning technique named Mask Region-Convolutional Neural Network (Mask R-CNN) using images of nanostructured materials obtained from a transmission electron microscope (TEM) at a nanosc...

An artificial neural network multi-layer perceptron classifier was developed to make a diagnosis of Parkinson’s disease (PD) using a dataset obtained from the UCI Machine Learning Repository. The dataset consists of voice recordings from patients with PD and a control group. Multiple networks were trained to vary the number of neurons in the hidden...

Magnetic nanoparticles are currently used as building blocks for the fabrication of various functional systems. In this work, magnetic cobalt–zinc ferrite (Co0.25Zn0.75Fe2O4) and magnetite (Fe3O4) nanoparticles were prepared by the co-precipitation method. After that, the nanoparticles were coated with silica (SiO2) via a modified Stöber sol–gel me...

In this chapter, an agent-based model was developed using NetLogo to study bacterial evolution and the process in which bacterial populations are able to acquire antibiotic resistance in an heterogeneous medium with an escalated antibiotic gradient. Molecular interactions between wild-type (WT) E. coli and the antibiotic trimethoprim (TMP) were abs...

Gap junction (GJ) channels in invertebrates have been used to understand cell-to-cell communication in vertebrates. GJs are a common form of intercellular communication channels which connect the cytoplasm of adjacent cells. Dysregulation and structural alteration of the gap junction-mediated communication have been proven to be associated with a m...

Kinetic parameters are a crucial aspect when studying reactions involving proteins. Unfortunately, these are often unknown or hard to measure in the laboratory. Therefore, modeling phenomena involving protein reactions without using kinetic parameters can be a significant advantage. In this work, an agent-based model of the budding yeast (Saccharom...

The objective of this paper is to develop a computational model of the fission yeast (Schizosaccharomyces pombe) cell cycle using agent-based modeling (ABM), to study the sequence of states of the proteins and time of the cell cycle phases, under the action of proteins that regulate its cell cycle. The model relies only on the conceptual model of t...

Background: The Smad7 protein is negative regulator of the TGF-β signaling pathway, which is upregulated in patients with breast cancer. miRNAs regulate proteins expressions by arresting or degrading the mRNAs. The purpose of this work is to identify a miRNAs profile that regulates the expression of the mRNA coding for Smad7 in breast cancer using...

In this chapter, we present relevant information about lean manufacturing (LM), its beginnings, evolution, as well as the main LM techniques and tools. The main purpose of this chapter is to know the current state of LM methodology and describe the leading tools that have contributed to successful LM projects worldwide. For this purpose, we conduct...

La levadura de fisión (Schizosaccharomyces pombe) es un organismo modelo del estudio de procesos celulares debido a que es un organismo simple y con un proceso celular conservado en otros organismos más complejos, siendo de gran interés el estudio de las proteínas que regulan su ciclo celular. Su estudio ha sido, además, de gran ayuda para desarrol...

This paper presents an agent-based model that performs the management of traffic flows in a network with the purpose of observing in a simulation of distinctive congestion scenarios how the automation of the monitoring task improves the network performance. The model implements a decision-making algorithm to determine the path that the data flows w...

In recent years, there has been an increasing interest in developing multifunctional materials that can be used in different areas, such as artificial lighting. White light-emitting diodes offer the possibility of efficient, safe, and reliable solid-state lighting. This study presents a synthesis and characterisation process of a white-light emitti...

Las redes neuronales artificiales (RNA) son un método computacional extensamente utilizado para resolver problemas complejos y realizar predicciones en sistemas de relación no lineal. En este trabajo se utilizaron RNA para predecir la respuesta fisiológica obtenida al adicionar una concentración específica de digoxina a corazones de Tivela stultoru...

White light-emitting diodes offer the possibility of efficient, safe, and reliable solid-state lighting, and thus have various applications in artificial lighting. Reported white light-emitting phosphors usually contain rare-earth metals and are generally prepared by high-energy processes. The purpose of this research is the modeling and simulation...

Mesoporous materials (HMS-Ti, SBA-15, and MCM-41) doped with variable gallium loadings served as supports to three sets of NiW catalysts in order to hydrodesulfurize the dibenzothiophene (DBT). The resulting materials were physically characterized by several techniques. The catalytic activity results showed that the materials containing 1.5 wt.% of...

Multi-layer perceptron artificial neural networks (MLP-ANNs) were used to predict the concentration of digoxin needed to obtain a cardio-activity of specific biophysical parameters in Tivela stultorum hearts. The inputs of the neural networks were the minimum and maximum values of heart contraction force, the time of ventricular filling, the volume...

Resumen. — En este artículo se presenta un modelo de la vía de transducción de las proteínas quinasas activadas por mitógenos, cuyos componentes y dinámicas corresponden a las reacciones bioquímicas que tienen lugar después de la activación de la proteína Ras. El modelo se diseñó mediante el enfoque basado en agentes, en el cual las partes individu...

The combination of magnetic and luminescent properties in a single particle system, opens-up a wide range of potential applications in biotechnology and biomedicine. In this work, we performed the synthesis of magnetic-luminescent Gd2O3:Eu3+@Fe2O3 particles by ultrasonic spray pyrolysis performed in a tubular furnace. In order to achieve the compos...

We propose a bio-computational hybrid model behavior of complex biological systems. Natural computing and agent-based systems techniques, which provide functionality to model the temporal, spatial and organizational complexity aspects, are used, in order to understand the interaction of macroscopic emerging processes such as cooperation, coalitions...

Biological systems studies organisms or biological systems, viewed as an integrated and interrelated system of genes, proteins and biochemical reactions which give rise to complex biological processes. The need to model these complex biological systems at many different scales has led to the emergence of numerous techniques of biosimula-tion, inclu...

Computational models have played an important role in the discovery and understanding of the complexities during the learning process. One complexity is the distraction factor on educator-learner interaction affecting the quality of the learning process. We model an adaptive system model able to dynamically adapt considering user's performance, sim...

Multi-agent systems and particularly BDI agents are mostly used in a wide range of projects, from agent-based simulations to air-traffic control. They all benefit from the autonomy and proactive behavior that provides agent-based architectures, as well as the characteristics of reasoning that are outlined by the BDI architecture. Therefore the Beli...

Computer simulations are used in situations where the object of study can not be investigated by traditional methods, or not to use more of the test organisms that have already been used. Simulations are useful to test hypotheses or as a support tool to observing other results. The agent-based modeling is a powerful and flexible tool that supports...

We examined the correlations between the factors leading to the development of crops, techniques and methods considered for predicting pests and diseases among other situations. Climatic changes and human influence have deteriorated crop growth. They have caused economic losses and decreases in product quality; besides the excessive use of fertiliz...

User modeling can be used to enhance the usability and the accessibility of different human creations intended for use by human beings. Buildings, recreational areas, software, tools, etc, can be adapted or built considering the user needs, capabilities and preferences represented as user profiles. Different approaches have been taken in this field...

Las simulaciones basadas en agentes proporcionan una nueva forma de experimentos llamados in silico, éstas simulaciones han sido utilizadas en distintas áreas de la ciencia para modelar sistemas complejos que no se pueden explicar en el laboratorio o requieren demasiados recursos para ello; éstas simulación presentan varias ventajas sobre otras. En...

This paper proposes the use of ubiquitous computing to obtain information related to the mobility of people with visual impairments on public spaces; and use that information to evaluate the accessibility of such spaces.

This research is motivated by the need to propose a model for studying the people interaction in educational spaces such as interactive museums, assisted by ubiquitous computing environments and aided of fuzzy logic. People are represented as mobile agent software, which has certain characteristics, limited knowledge and the necessity to interact w...

The purpose of the paper is to describe the application of a neuro-fuzzy system and distributed agency methodology to a multi-dimensional model on a religious affiliation preference system. We use a type-2 neuro-fuzzy approach to configure cognitive rules into a fuzzy inference system in order to built a multi-dimensional model for based agent soci...

This research is motivated by the need to propose a model for studying the interaction of people in educational spaces such as museums, assisted by ubiquitous computing environments. People are represented as mobile software agent which have certain characteristics, limited knowledge and the necessity to interact with others to achieve individual o...

This paper proposes the use of ubiquitous computing and multi-agent systems to obtain information related to the locomotion of people with visual impairments on public spaces; and use that information to evaluate the accessibility of such spaces.

This work is motivated by need for a model that addresses the study of Knowledge Society for Business and Management in situations where conventional analysis is insufficient in describing the intricacies of realistic social phenomena and social actors. We use Dis-tributed Agency methodology that requires the use of all available com-putational tec...

This paper proposes the use of ubiquitous computing to obtain information related to the mobility of people with visual impairments on public spaces; and use that information to evaluate the accessibility of such spaces.

The purpose of the paper is to describe the application of a neuro-fuzzy system and distributed agency methodology to a multi-dimensional model on a religious affiliation preference system. We use a type-2 neuro-fuzzy approach to configure cognitive rules into a fuzzy inference system in order to built a multi-dimensional model for based agent soci...

The need of better representation of complex systems, such social systems, has made that the use of new simulation techniques are increasingly accepted, one of these accepted techniques are multi-agent systems. In addition to represent the uncertainty that is required by them, fuzzy logic and particularly type-2 fuzzy logic are being accepted. A sy...

This work is motivated by need for a model that addresses the study of Knowledge Society for Business and Management in situations where conventional analysis is insufficient in describing the intricacies of realistic social phenomena and social actors. We use Distributed Agency methodology that requires the use of all available computational techn...

This work is motivated by need to propose a model for the study of Adaptive Environmental for Ubiquitous Support of Disabled People in situations where conventional analysis is insufficient in describing the intricacies of realistic social phenomena and social actors. We use Distributed Agency methodology that requires the use of all available comp...

The ability to understand the world around us is crucial to successfully act within an environment. For such a task it is important to understand relations and context between objects and actions. The goal is to have an agent capable of understanding its environment and by using knowledge of how it works to take actions. The term environment is def...

We develop a methodology for simulating voting models for agents with multiple identities. We use Fuzzy Logic Type-2 for modeling the internal decision process of the voter and a NetLogo simulation to model voter interaction. Our case study is the 2008 USA Presidential Democratic Primary, which confronted the first African-American and the first wo...

The use of computational platforms for the implementation of simulations that include complex agents in a Multi-Agent System (MAS) can aid the process of modelling multiple social phenomena. The NetLogo platform has been used extensively for modelling many social and natural phenomena, to a large degree because of its simplicity and practicality. O...

The need to model interactions between people of different cultures, religions and ethnic groups is evident. In Social Simulation, the combination of Artificial Intelligence andMulti-agent Systems has proven to be a good tool for modeling social groups, however much remains to achieve a model which represents a society with differences between indi...

This paper presents a model to add personality features to robots, the Transactional Analysis (TA) is used to define a psychological profile and the Viable Systems Model (VSM) is used to help explain the decisions made by the robot and how this impacts on its viability.