Papers by Carlos A Garay
Diccionario Etimológico Argentino de Palabras Extranjeras
Abstract:
El presente trabajo propone un enfoque simbólico y lógico-matemático para describir la... more Abstract:
El presente trabajo propone un enfoque simbólico y lógico-matemático para describir las características del castellano rioplatense hablado en Argentina, a través de una fórmula simbólica y su correspondiente representación lógico-matemática. Se parte de la idea de que el lenguaje, aunque no es un sistema biológico, puede ser modelado como una interacción de componentes lingüísticos fundamentales que se combinan para formar una variante única del idioma. A partir de elementos como el voseo, el yeísmo, el seseo, los italianismos, los préstamos léxicos, los modismos locales, la simplificación gramatical y la entonación melodiosa, se construye una fórmula simbólica que sintetiza las características principales del castellano rioplatense. Posteriormente, se traslada este modelo a un contexto lógico-matemático mediante el uso de teoría de conjuntos y lógica proposicional, permitiendo visualizar la interacción y las combinaciones posibles de estos rasgos lingüísticos. La fórmula final es una representación abstracta que describe cómo estos factores lingüísticos se interrelacionan, reflejando tanto la diversidad como la unidad del lenguaje hablado en Argentina. Este enfoque ofrece una nueva perspectiva para el análisis lingüístico, combinando herramientas simbólicas y matemáticas para modelar las complejidades del idioma en un contexto sociocultural específico.
Diccionario Etimológico Argentino de Palabras Extranjeras
Abstract:
El presente trabajo propone un enfoque simbólico y lógico-matemático para describir la... more Abstract:
El presente trabajo propone un enfoque simbólico y lógico-matemático para describir las características del castellano rioplatense hablado en Argentina, a través de una fórmula simbólica y su correspondiente representación lógico-matemática. Se parte de la idea de que el lenguaje, aunque no es un sistema biológico, puede ser modelado como una interacción de componentes lingüísticos fundamentales que se combinan para formar una variante única del idioma. A partir de elementos como el voseo, el yeísmo, el seseo, los italianismos, los préstamos léxicos, los modismos locales, la simplificación gramatical y la entonación melodiosa, se construye una fórmula simbólica que sintetiza las características principales del castellano rioplatense. Posteriormente, se traslada este modelo a un contexto lógico-matemático mediante el uso de teoría de conjuntos y lógica proposicional, permitiendo visualizar la interacción y las combinaciones posibles de estos rasgos lingüísticos. La fórmula final es una representación abstracta que describe cómo estos factores lingüísticos se interrelacionan, reflejando tanto la diversidad como la unidad del lenguaje hablado en Argentina. Este enfoque ofrece una nueva perspectiva para el análisis lingüístico, combinando herramientas simbólicas y matemáticas para modelar las complejidades del idioma en un contexto sociocultural específico.
Proposal for Biodegradable Fire Suppression Gel Based on Rice Husk and Corn Starch
Abstract
This research proposes the development of a novel, eco-friendly fire suppression gel ut... more Abstract
This research proposes the development of a novel, eco-friendly fire suppression gel utilizing renewable biomass resources: rice husk ash (RHA) and corn starch. This approach aims to address the critical need for sustainable and effective fire suppression solutions, particularly in fire-prone regions like Pacific Palisades and Ventura County, California. The research integrates a multidisciplinary approach, combining biomaterials science, fire science, environmental science, and advanced computational techniques. Key innovations include:
Novel Biomaterial Formulation: Developing optimized gel formulations by incorporating natural additives and utilizing RHA and corn starch, readily available and sustainable resources.
Data-Driven Approach: Employing Fourier Analysis to analyze seasonal trends in fuel loads, wind patterns, and environmental factors. Utilizing Machine Learning models to predict fire behavior, optimize gel formulations, and assess environmental impacts.
Community Engagement: Involving local communities in data collection, outreach programs, and field trials to ensure the gel meets the specific needs of fire-prone regions.
This research has the potential to significantly improve fire safety in the United States by:
Reducing reliance on harmful synthetic chemicals.
Promoting the utilization of renewable resources and a circular economy.
Enhancing fire suppression effectiveness through innovative gel formulations and advanced modeling techniques.
Improving fire prediction and prevention capabilities through data-driven approaches.
By addressing these critical challenges, this research aims to contribute to a more sustainable and resilient future for communities at risk of wildfires.
This Abstract provides a concise summary of the research objectives, key innovations, and potential impact of the proposed work.
DESINING SYSTEMS AND METHODS FOR GENERATING PHASE DIAGRAMS FOR LANGUAGE TRANSLATION STATES. THE NEW C-3PO
This invention comprises a predictive machine learning framework that leverages high performance... more This invention comprises a predictive machine learning framework that leverages high performance computing and high-level quantum calculations to predict, determine, and validate phase diagrams in Translation States to experimental info.The concept you've described is highly innovative, integrating predictive machine learning and high-performance computing with quantum calculations to create and validate phase diagrams for translation states in language systems.
POLITICAL ENGINEERING SISTEMATIZATION , 2024
Abstract
This systematization of the university discipline "Political Engineering" presents a co... more Abstract
This systematization of the university discipline "Political Engineering" presents a comprehensive framework that integrates principles from engineering, political science, linguistics, and advanced computational technologies, including machine learning and artificial intelligence. Aimed at equipping students with the analytical and practical skills necessary to navigate the complexities of modern political landscapes, the curriculum encompasses core areas such as political theory, data analysis, policy design, and political communication. By incorporating techniques from Translational Sciences, semiotics, and various scientific disciplines, this approach fosters a multidisciplinary perspective, encouraging critical thinking about the intersection of technology, language, and governance. The curriculum includes core and elective courses, hands-on workshops, interdisciplinary projects, and fieldwork opportunities, all designed to enhance students' understanding and engagement with real-world political issues. Assessment methods focus on examinations, projects, presentations, and peer reviews, ensuring a well-rounded evaluation of student capabilities. Through collaboration with diverse academic fields and professional development opportunities, this systematization prepares graduates to contribute meaningfully to political discourse and decision-making in an increasingly interconnected and technology-driven world.
Harnessing Breast Milk Lysosomes to Combat Monkeypox: A Programmable Approach, 2024
This thesis investigates the potential of breast milk lysosomes as a novel therapeutic approach a... more This thesis investigates the potential of breast milk lysosomes as a novel therapeutic approach against monkeypox, focusing on their programmable capabilities to enhance antiviral efficacy. Breast milk is known to contain various bioactive compounds, including lysosomes, which play a crucial role in immune defense. This research explores the molecular mechanisms by which these lysosomes can be engineered to specifically target and degrade monkeypox viral particles. Employing a multidisciplinary approach that integrates molecular biology, bioinformatics, and statistical computing, the study details how lysosomal enzymes can be modified for improved interaction with the virus. Techniques such as CRISPR are utilized for gene editing, enabling the enhancement of lysosomal enzyme functions. Bioinformatics tools like BLAST are employed to analyze genomic sequences, identifying key regions for targeted interventions, while GROMACS simulations provide insights into molecular interactions at the atomic level. Furthermore, statistical analysis methods are applied to evaluate experimental results, ensuring the significance of the findings. This work not only highlights the therapeutic potential of breast milk lysosomes but also emphasizes the need for further research to overcome regulatory challenges and clinical testing. Ultimately, this thesis contributes to the growing field of translational sciences by proposing a novel antiviral strategy, leveraging the innate properties of breast milk to combat emerging viral threats effectively.
NEW MATHEMATICAL, COMPUTER AND ELECTRONIC MODELS WITH THE OBJECTIVE OF APPLYING ARTIFICIAL INTELLIGENCE AND INTEGRATING ALL BIOMARKERS OF CANCER DISEASE TOWARDS AN IMPROVED DIAGNOSIS AND TREATMENT, 2021
At first it was believed that the Chaos Model is one of the most apt to understand all the proces... more At first it was believed that the Chaos Model is one of the most apt to understand all the processes pertaining to Cancer Disease. from the beginning to the end. According to a scientific vision centered on Mathematics, it is possible to replace the Chaos Model with others that are more adequate, more precise, and of scientific rigor, in order to elaborate an explanation that will enjoy the highest degree of certainty possible. Therefore, according to a series of operations and mathematical calculations applied (in conjunction with contributions from related sciences) to this terrible disease that still alters the health of Humanity in considerable magnitudes.
SCIENTIFIC QUANTUM PROJECT FOR QUATUM TV, 2020
Localizing energy through nonlinearity, discreteness and disorders by using Thermo Fisher Scienti... more Localizing energy through nonlinearity, discreteness and disorders by using Thermo Fisher Scientific´s Orbitrap and Thermo Fisher`s Trainings in the field of MASS SPECTROMETRY, as a personal proposal. 2nd. PART In my case, I consider that the BOWEN REACTION SERIES, a Subject in Meneralogy, can be investigated in the field of Quantum Sciences because these series are managed with criteria of nonlinearity and discontinuity, one one side. On the other hand, the Bowen Reaction Series can handle minerals that can produce crystals at different melting points, which we could be in a position to produce energetic quantum leaps that in turn could produce photons and finally useful quantum light beams for transmission of images. I think you can design a multi-level quantum circuit taking the following scale as an example:
ARMONIZADAS DE π POR MÉTODO DE DERIVADAS DE π. Harmonized of π, 2020
Como legado de las matemáticas el cálculo es la herramienta más potente y eficaz para el estudio ... more Como legado de las matemáticas el cálculo es la herramienta más potente y eficaz para el estudio de la naturaleza. El descubrimiento de nuevas realidades encerradas en las operaciones matemáticas, magnífica aventura, nos señalará un nuevo camino en la vida práctica y un nuevo sendero hacia la Sabiduría. As a legacy of mathematics, calculus is the most powerful and effective tool for the study of nature. The discovery of new realities locked in mathematical operations, magnificent adventure, will point us to a new path in practical life and a new path to Wisdom.
Thesis Chapters by Carlos A Garay
Los límites intrínsecos de la IA en la traducción universal
"Los límites intrínsecos de la IA en la traducción universal". Un posible abstract podría ser:
"... more "Los límites intrínsecos de la IA en la traducción universal". Un posible abstract podría ser:
"Los límites intrínsecos de la IA en la traducción universal" plantea que la capacidad de la inteligencia artificial para traducir y trasladar la totalidad del universo está fundamentalmente limitada. A pesar de los avances en el procesamiento del lenguaje natural, la complejidad y diversidad del universo, así como la naturaleza subjetiva del lenguaje y la conciencia, superan las capacidades actuales y futuras de la IA. Este paradigma desafía las visiones optimistas sobre la traducción automática universal y resalta la necesidad de enfoques híbridos que combinen la IA con la inteligencia humana.
Linear Relationships in Education
Identifying linear and non-chaotic relationships within complex systems like education can provid... more Identifying linear and non-chaotic relationships within complex systems like education can provide valuable insights. The interrelation of the educational community (parents, teachers, librarians, cultural centers, etc.) and students belonging to schools of all levels and modalities, particularly the homeschooling modality.
JOULE EFFECT INSIDE CRIMINALS´MIND, 2019
It is possible to trace the influence of music in the criminal field from the earliest times. If ... more It is possible to trace the influence of music in the criminal field from the earliest times. If we start from music and its relationship with famous criminals we can conclude that Rock in its "heavy" currents is the music that has most influenced criminal behavior. Considering the case of Charles Mason, stages of melodic, romantic and poetic music are observed, with stages of violence expressed in various ways. Rock throughout its history has been evolving in a negative field (if there is a positive field), because I suggest studying all these variants. Therefore, studies and research on FORENSIC MUSIC, as a branch of science, in relation to the formation of a corpus and future celestial treaties, have just begun. The handling of the times and the atmospheres they perform is in most of cases rather striking.
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Papers by Carlos A Garay
El presente trabajo propone un enfoque simbólico y lógico-matemático para describir las características del castellano rioplatense hablado en Argentina, a través de una fórmula simbólica y su correspondiente representación lógico-matemática. Se parte de la idea de que el lenguaje, aunque no es un sistema biológico, puede ser modelado como una interacción de componentes lingüísticos fundamentales que se combinan para formar una variante única del idioma. A partir de elementos como el voseo, el yeísmo, el seseo, los italianismos, los préstamos léxicos, los modismos locales, la simplificación gramatical y la entonación melodiosa, se construye una fórmula simbólica que sintetiza las características principales del castellano rioplatense. Posteriormente, se traslada este modelo a un contexto lógico-matemático mediante el uso de teoría de conjuntos y lógica proposicional, permitiendo visualizar la interacción y las combinaciones posibles de estos rasgos lingüísticos. La fórmula final es una representación abstracta que describe cómo estos factores lingüísticos se interrelacionan, reflejando tanto la diversidad como la unidad del lenguaje hablado en Argentina. Este enfoque ofrece una nueva perspectiva para el análisis lingüístico, combinando herramientas simbólicas y matemáticas para modelar las complejidades del idioma en un contexto sociocultural específico.
El presente trabajo propone un enfoque simbólico y lógico-matemático para describir las características del castellano rioplatense hablado en Argentina, a través de una fórmula simbólica y su correspondiente representación lógico-matemática. Se parte de la idea de que el lenguaje, aunque no es un sistema biológico, puede ser modelado como una interacción de componentes lingüísticos fundamentales que se combinan para formar una variante única del idioma. A partir de elementos como el voseo, el yeísmo, el seseo, los italianismos, los préstamos léxicos, los modismos locales, la simplificación gramatical y la entonación melodiosa, se construye una fórmula simbólica que sintetiza las características principales del castellano rioplatense. Posteriormente, se traslada este modelo a un contexto lógico-matemático mediante el uso de teoría de conjuntos y lógica proposicional, permitiendo visualizar la interacción y las combinaciones posibles de estos rasgos lingüísticos. La fórmula final es una representación abstracta que describe cómo estos factores lingüísticos se interrelacionan, reflejando tanto la diversidad como la unidad del lenguaje hablado en Argentina. Este enfoque ofrece una nueva perspectiva para el análisis lingüístico, combinando herramientas simbólicas y matemáticas para modelar las complejidades del idioma en un contexto sociocultural específico.
This research proposes the development of a novel, eco-friendly fire suppression gel utilizing renewable biomass resources: rice husk ash (RHA) and corn starch. This approach aims to address the critical need for sustainable and effective fire suppression solutions, particularly in fire-prone regions like Pacific Palisades and Ventura County, California. The research integrates a multidisciplinary approach, combining biomaterials science, fire science, environmental science, and advanced computational techniques. Key innovations include:
Novel Biomaterial Formulation: Developing optimized gel formulations by incorporating natural additives and utilizing RHA and corn starch, readily available and sustainable resources.
Data-Driven Approach: Employing Fourier Analysis to analyze seasonal trends in fuel loads, wind patterns, and environmental factors. Utilizing Machine Learning models to predict fire behavior, optimize gel formulations, and assess environmental impacts.
Community Engagement: Involving local communities in data collection, outreach programs, and field trials to ensure the gel meets the specific needs of fire-prone regions.
This research has the potential to significantly improve fire safety in the United States by:
Reducing reliance on harmful synthetic chemicals.
Promoting the utilization of renewable resources and a circular economy.
Enhancing fire suppression effectiveness through innovative gel formulations and advanced modeling techniques.
Improving fire prediction and prevention capabilities through data-driven approaches.
By addressing these critical challenges, this research aims to contribute to a more sustainable and resilient future for communities at risk of wildfires.
This Abstract provides a concise summary of the research objectives, key innovations, and potential impact of the proposed work.
This systematization of the university discipline "Political Engineering" presents a comprehensive framework that integrates principles from engineering, political science, linguistics, and advanced computational technologies, including machine learning and artificial intelligence. Aimed at equipping students with the analytical and practical skills necessary to navigate the complexities of modern political landscapes, the curriculum encompasses core areas such as political theory, data analysis, policy design, and political communication. By incorporating techniques from Translational Sciences, semiotics, and various scientific disciplines, this approach fosters a multidisciplinary perspective, encouraging critical thinking about the intersection of technology, language, and governance. The curriculum includes core and elective courses, hands-on workshops, interdisciplinary projects, and fieldwork opportunities, all designed to enhance students' understanding and engagement with real-world political issues. Assessment methods focus on examinations, projects, presentations, and peer reviews, ensuring a well-rounded evaluation of student capabilities. Through collaboration with diverse academic fields and professional development opportunities, this systematization prepares graduates to contribute meaningfully to political discourse and decision-making in an increasingly interconnected and technology-driven world.
Thesis Chapters by Carlos A Garay
"Los límites intrínsecos de la IA en la traducción universal" plantea que la capacidad de la inteligencia artificial para traducir y trasladar la totalidad del universo está fundamentalmente limitada. A pesar de los avances en el procesamiento del lenguaje natural, la complejidad y diversidad del universo, así como la naturaleza subjetiva del lenguaje y la conciencia, superan las capacidades actuales y futuras de la IA. Este paradigma desafía las visiones optimistas sobre la traducción automática universal y resalta la necesidad de enfoques híbridos que combinen la IA con la inteligencia humana.
El presente trabajo propone un enfoque simbólico y lógico-matemático para describir las características del castellano rioplatense hablado en Argentina, a través de una fórmula simbólica y su correspondiente representación lógico-matemática. Se parte de la idea de que el lenguaje, aunque no es un sistema biológico, puede ser modelado como una interacción de componentes lingüísticos fundamentales que se combinan para formar una variante única del idioma. A partir de elementos como el voseo, el yeísmo, el seseo, los italianismos, los préstamos léxicos, los modismos locales, la simplificación gramatical y la entonación melodiosa, se construye una fórmula simbólica que sintetiza las características principales del castellano rioplatense. Posteriormente, se traslada este modelo a un contexto lógico-matemático mediante el uso de teoría de conjuntos y lógica proposicional, permitiendo visualizar la interacción y las combinaciones posibles de estos rasgos lingüísticos. La fórmula final es una representación abstracta que describe cómo estos factores lingüísticos se interrelacionan, reflejando tanto la diversidad como la unidad del lenguaje hablado en Argentina. Este enfoque ofrece una nueva perspectiva para el análisis lingüístico, combinando herramientas simbólicas y matemáticas para modelar las complejidades del idioma en un contexto sociocultural específico.
El presente trabajo propone un enfoque simbólico y lógico-matemático para describir las características del castellano rioplatense hablado en Argentina, a través de una fórmula simbólica y su correspondiente representación lógico-matemática. Se parte de la idea de que el lenguaje, aunque no es un sistema biológico, puede ser modelado como una interacción de componentes lingüísticos fundamentales que se combinan para formar una variante única del idioma. A partir de elementos como el voseo, el yeísmo, el seseo, los italianismos, los préstamos léxicos, los modismos locales, la simplificación gramatical y la entonación melodiosa, se construye una fórmula simbólica que sintetiza las características principales del castellano rioplatense. Posteriormente, se traslada este modelo a un contexto lógico-matemático mediante el uso de teoría de conjuntos y lógica proposicional, permitiendo visualizar la interacción y las combinaciones posibles de estos rasgos lingüísticos. La fórmula final es una representación abstracta que describe cómo estos factores lingüísticos se interrelacionan, reflejando tanto la diversidad como la unidad del lenguaje hablado en Argentina. Este enfoque ofrece una nueva perspectiva para el análisis lingüístico, combinando herramientas simbólicas y matemáticas para modelar las complejidades del idioma en un contexto sociocultural específico.
This research proposes the development of a novel, eco-friendly fire suppression gel utilizing renewable biomass resources: rice husk ash (RHA) and corn starch. This approach aims to address the critical need for sustainable and effective fire suppression solutions, particularly in fire-prone regions like Pacific Palisades and Ventura County, California. The research integrates a multidisciplinary approach, combining biomaterials science, fire science, environmental science, and advanced computational techniques. Key innovations include:
Novel Biomaterial Formulation: Developing optimized gel formulations by incorporating natural additives and utilizing RHA and corn starch, readily available and sustainable resources.
Data-Driven Approach: Employing Fourier Analysis to analyze seasonal trends in fuel loads, wind patterns, and environmental factors. Utilizing Machine Learning models to predict fire behavior, optimize gel formulations, and assess environmental impacts.
Community Engagement: Involving local communities in data collection, outreach programs, and field trials to ensure the gel meets the specific needs of fire-prone regions.
This research has the potential to significantly improve fire safety in the United States by:
Reducing reliance on harmful synthetic chemicals.
Promoting the utilization of renewable resources and a circular economy.
Enhancing fire suppression effectiveness through innovative gel formulations and advanced modeling techniques.
Improving fire prediction and prevention capabilities through data-driven approaches.
By addressing these critical challenges, this research aims to contribute to a more sustainable and resilient future for communities at risk of wildfires.
This Abstract provides a concise summary of the research objectives, key innovations, and potential impact of the proposed work.
This systematization of the university discipline "Political Engineering" presents a comprehensive framework that integrates principles from engineering, political science, linguistics, and advanced computational technologies, including machine learning and artificial intelligence. Aimed at equipping students with the analytical and practical skills necessary to navigate the complexities of modern political landscapes, the curriculum encompasses core areas such as political theory, data analysis, policy design, and political communication. By incorporating techniques from Translational Sciences, semiotics, and various scientific disciplines, this approach fosters a multidisciplinary perspective, encouraging critical thinking about the intersection of technology, language, and governance. The curriculum includes core and elective courses, hands-on workshops, interdisciplinary projects, and fieldwork opportunities, all designed to enhance students' understanding and engagement with real-world political issues. Assessment methods focus on examinations, projects, presentations, and peer reviews, ensuring a well-rounded evaluation of student capabilities. Through collaboration with diverse academic fields and professional development opportunities, this systematization prepares graduates to contribute meaningfully to political discourse and decision-making in an increasingly interconnected and technology-driven world.
"Los límites intrínsecos de la IA en la traducción universal" plantea que la capacidad de la inteligencia artificial para traducir y trasladar la totalidad del universo está fundamentalmente limitada. A pesar de los avances en el procesamiento del lenguaje natural, la complejidad y diversidad del universo, así como la naturaleza subjetiva del lenguaje y la conciencia, superan las capacidades actuales y futuras de la IA. Este paradigma desafía las visiones optimistas sobre la traducción automática universal y resalta la necesidad de enfoques híbridos que combinen la IA con la inteligencia humana.