A5015781911- Neuropeptides and Animal Physiology
- Receptor Mechanisms and Signaling
- Visual Attention and Saliency Detection
- Stress Responses and Cortisol
- Neural dynamics and brain function
- Helicobacter pylori-related gastroenterology studies
- Neuroendocrine regulation and behavior
- Evolutionary Algorithms and Applications
- Hypothalamic control of reproductive hormones
- Robotics and Sensor-Based Localization
- Gastrointestinal motility and disorders
- Metaheuristic Optimization Algorithms Research
- Advanced Vision and Imaging
- Reinforcement Learning in Robotics
- Pain Mechanisms and Treatments
- Cardiovascular, Neuropeptides, and Oxidative Stress Research
- EEG and Brain-Computer Interfaces
- Emotion and Mood Recognition
- Hormonal Regulation and Hypertension
- Artificial Intelligence in Games
- Technology Use by Older Adults
- Sports Analytics and Performance
- Impact of Technology on Adolescents
- Viral Infectious Diseases and Gene Expression in Insects
- Face Recognition and Perception
Instituto Tecnológico de Tijuana
2017-2025
Tecnológico Nacional de México
2017-2025
Sony Corporation (United States)
2023
University of York
2023
California State University, Northridge
2021
Universidad Técnica Estatal de Quevedo
2020
Asociación para la Conservación de la Cuenca Amazónica
2018
Northwestern University
2016
Center for Scientific Research and Higher Education at Ensenada
2000-2015
The Abdus Salam International Centre for Theoretical Physics (ICTP)
2011
Intracisternal (i.c.) injection of neurotensin (NT) to rats or mice attenuated the locomotor hyperactivity induced by d-amphetamine, methylphenidate cocaine, but not increased activity apomorphine lergotrile. The reduction methylphenidate-induced i.c. NT was due an drug metabolism because did change plasma concentrations. These actions are distinct from those dopamine receptor antagonist haloperidol, which blocked all five stimulant drugs in rats. A further difference between and...
The two dark sectors of the universe—dark matter and energy—may interact with each other. Background linear density perturbation evolution equations are developed for a generic coupling. We then establish general conditions necessary to obtain models free from non-adiabatic instabilities. As an application, we consider viable universe in which interaction strength is proportional energy density. scenario does not exhibit ``phantom crossing'' instabilities, including early ones. A sizeable...
Abstract Electroencephalography is a core technology of brain computer interfaces. Even few number electrodes can produce complex signals that are difficult to interpret. This particularly true when trying detect mental states, such as the identification human emotions. work analyzes impact feature reduction using SJTU Emotion EEG data set, considering inter‐subject and inter‐session classification. It well established tends be subject dependent, patterns produced by person in response...
Gearboxes are widely used in industrial processes as mechanical power transmission systems. Then, gearbox failures can affect other parts of the system and produce economic loss. The early detection possible failure modes their severity assessment such devices is an important field research. Data-driven approaches usually require exhaustive development pipelines including models’ parameter optimization feature selection. This paper takes advantage recent Auto Machine Learning (AutoML) tools...
Automating industrial processes, particularly quality inspection, is a key objective in manufacturing. While welding tasks are frequently automated, inspection processes remain largely manual. Advances computer vision and AI, especially ViTs, now enable more effective defect detection classification, offering opportunities to automate these workflows. This study evaluates ViTs for identifying defects aluminum using the Aluminum 5083 TIG dataset. The analysis spans binary classification...
ABSTRACT Wind turbine blades (WTB) are critical components of wind energy systems. Operating in harsh environments WTBs face significant challenges, since damage to their leading edge caused by erosion or additive surface roughness can reduce performance, and increase maintenance costs operational downtime. One approach detect WTB is use machine learning, but properly designing a predictive system not trivial. Auto learning (AutoML) be used simplify the design implementation pipelines. This...
Abstract Neurotensin (NT) and bombesin, which are heterogeneously distributed in both brain gastrointestinal tissue of several mammalian species, inhibit the formation stress‐induced gastric ulcers rats. Many other endogeneous neuropeptides have also been reported to be present tissue. study was conducted evaluate effect some these peptides development cold‐restraint stress (CRS)‐induced addition, thyrotropin‐releasing hormone (TRH), antagonizes many CNS effects NT, investigated determine...
Neurotensin, a peptide common to brain and gastrointestinal tissue, has been reported inhibit both gastric acid secretion mucosal blood flow after central nervous system administration in rats. Therefore, the effect of intracisternal neurotensin on development ulcers induced by cold-plus-restraint stress rat was studied. Following injection, (20-30 micrograms) significantly inhibited this model. This shown be dose related route specific, inasmuch as neither lower doses nor intravenous were...
Families are increasingly using Social Networking Sites (SNS) to keep in touch. Building upon our prior work and the results from 6 participatory design sessions, we present of two ubiquitous exergames: GuessMyCaption TakeAPhoto. These games use family memoirs available SNS a
Visual tracking has long been studied in computer vision, and it many practical applications such as surveillance security, traffic control, human–computer interaction, activity or behavior recognition to mention but a few. Head attempts follow person's head within video sequence. This paper presents methodology that automatically designs an artificial dorsal stream for the problem of tracking. Multiple visual operators are synthesized obtain several conspicuity maps fused into saliency map,...
Geometric Semantic Genetic Programming (GSGP) is a state-of-the-art machine learning method based on evolutionary computation. GSGP performs search operations directly at the level of program semantics, which can be done more efficiently than operating syntax like most GP systems. Efficient implementations in C++ exploit this fact, but not to its full potential. This paper presents GSGP-CUDA, first CUDA implementation and efficient, exploits intrinsic parallelism using GPUs. Results show...
We study the $\nu_\mu - \nu_s$ oscillation effects in near detector of MINOS experiment. Conceptually, search for sterile neutrinos with mass $\sim 1$ eV realizes an interesting situation partial decoherence neutrino state at production. This corresponds to a difference energies two eigenstates that is comparable or bigger than width initial (pion). show these modify bound on mixing $\Delta m^2_{41} \aprge 0.5$ eV$^2$ and make experiment insensitive oscillations \gtrsim 15$ eV$^2$....
Emotion recognition is a fundamental task that any affective computing system must perform to adapt the user’s current mood. The analysis of electroencephalography signals has gained notoriety in studying human emotions because its non-invasive nature. This paper presents two-stage deep learning model recognize emotional states by correlating facial expressions and brain signals. Most works related are based on analyzing large segments signals, generally as long evoked potential lasts, which...