24,057 research outputs found

    Informe sobre Resolución N°0086-2019/SDC-INDECOPI

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    Piense usted en su grupo musical o artista favorito. Digamos que se encuentra caminando por la calle y visualiza un artículo “de colección”, por ejemplo, un edredón o muñecos con la imagen del artista o integrantes del grupo musical elegido, no puede evitar la tentación y lo(s) adquiere a un precio “bastante cómodo”, llega a su casa y lo(s) instala inmediatamente en su dormitorio, ¿ha considerado usted que, en lugar de mostrarle su apoyo, podría estar perjudicándolo? Tener a los Backstreet Boys o a Johnny Depp en el estante podría resultar tentador. Sin embargo, en lugar de brindar su apoyo podría estar favoreciendo una conducta tipificada como una infracción a la “Clausula General” o un acto de “explotación indebida de la reputación ajena artículo 6 y 10 del D. L. N°1044, Ley de Represión de la Competencia Desleal, respectivamente. En ese sentido, el propósito del presente trabajo se concentra en presentar y analizar ambas infracciones, las dos destinadas a sancionar conductas en las cuales se observe la explotación comercial de la imagen de una persona, conductas que en el derecho norteamericano se relacionan con el denominado “Right of Publicity” y que en el Perú se recogen en el caso Grupo La República Publicaciones S.A. vs Capri International S.A. - Resolución N°0086-2019/SDCINDECOPI, ¿Cuál es su alcance? ¿protege sólo a las personas famosas?, el desarrollo concluirá que el denominado “Right of Publicity” constituye un derecho relacionado al valor patrimonial de la imagen de una persona (famosa o no), cuya infracción, además de constituir un supuesto de competencia desleal, puede llegar a generar responsabilidad civi

    Growing old together: What we know about the influence of diet and exercise on the aging host's gut microbiome

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    The immune system is critical in defending against infection from pathogenic microorganisms. Individuals with weakened immune systems, such as the elderly, are more susceptible to infections and developing autoimmune and inflammatory diseases. The gut microbiome contains a plethora of bacteria and other microorganisms, which collectively plays a significant role in immune function and homeostasis. Gut microbiota are considered to be highly influential on host health and immune function. Therefore, dysbiosis of the microbiota could be a major contributor to the elevated incidence of multiple age-related pathologies. While there seems to be a general consensus that the composition of gut microbiota changes with age, very little is known about how diet and exercise might influence the aging microbiome. Here, we examine the current state of the literature regarding alterations to the gut microbiome as hosts age, drawing particular attention to the knowledge gaps in addressing how diet and exercise influence the aging microbiome. Further, we will demonstrate the need for more controlled studies to investigate the roles that diet and exercise play driving the composition, diversity, and function of the microbiome in an aging population

    Foresight model inventory (Version 1)

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    This report is part of the documentation component of Work package 3 of the foresight and metrics initiative supporting the Documentation and improved access to standardized, regularly updated, and interoperable versions of CGIAR’s core foresight models, tools, and databases spanning food, land and water systems

    An evaluation of non-pharmacological, non-invasive complementary interventions for reducing Parkinson's disease symptom severity and rate of disease progression

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    Parkinson’s Disease (PD) is the second most common neurodegenerative disorder and has a rapidly increasing prevalence. It is characterized by motor deficits, primarily resting tremor, rigidity, postural instability, and bradykinesia, associated with the progressive loss of dopaminergic neurons and formation of Lewy bodies. Current pharmacological treatments address mainly the primary motor symptoms of the disease and do not provide protection against further neurodegeneration. Therefore, complementary interventions are examined for their potential role in reducing symptoms, both motor and non-motor, and rate of PD progression. The Mediterranean, ketogenic, and MIND diets are promising interventions that simulate fasting states, thereby inducing adaptive and protective cellular stress responses. The large quantities of foods high in antioxidants, anti-inflammatory effects, and healthy fats recommended by these diet plans may combat PD pathology, particularly neuroinflammation, oxidative stress, and mitochondrial dysfunction. Ketogenic diets, in addition, provide more efficient brain energy sources, in the form of ketone bodies, that may further curb effects of mitochondrial dysfunction. Fats, omega-3 fatty acids in particular, provide significant, clinically relevant neuroprotection from the disease and supplementation is recommended. PD patients, on average, have insufficient serum levels of certain vitamins which may contribute to PD progression. When supplemented in large amounts, these vitamins may have the opposite effect. Certain foods, such as dairy products, red meats, and highly processed foods, are associated with increased risk of PD and may be considered neurodegenerative. Sodas, especially diet sodas, are significantly correlated with more rapid disease progression and increased symptom severity. Physical activity is highly recommended for PD patients for its motor and non-motor benefits and neuroprotective roles. Among the most effective forms of PA are suggested to be aerobic exercise and progressive training programs. Consistent exercise is advised for consistent cognitive benefits and alleviation of other symptoms. The potential benefits of cognitive training for individuals with PD remain to be seen. Further research in all areas is needed to elucidate the most effective complementary interventions in combating PD

    Desarrollo del algoritmo CAPRI para la estimación de la abundancia de complejos enzimáticos y su aplicación en la modelización del metabolismo en cáncer de mama

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    Tesis doctoral inédita leída en la Universidad Autónoma de Madrid, Facultad de Medicina, Departamento de Bioquímica. Fecha de lectura: 15-09-2017Esta tesis tiene embargado el acceso al texto completo hasta el 15-09-2023El cáncer de mama es el tumor más frecuente en las mujeres occidentales. Cerca de 600,000 mujeres fallecen anualmente a consecuencia de este tumor. La desregulación energética celular se está revelando como una de las características más importantes del cáncer. Los modelos metabólicos a escala genómica permiten simular el comportamiento del metabolismo de una célula ante perturbaciones ambientales y genéticas. Pueden incorporar varias capas de información diferentes, como por ejemplo, los datos masivos de expresión génica, así como la información bioquímica de las reacciones metabólicas. El Análisis de Balance de Flujos tiene como objetivo estimar el flujo metabólico de la red como representación de las velocidades de las reacciones químicas. La información experimental de expresión génica se incorpora al modelo mediante reglas “Gene-Protein-Reaction”, que permiten estimar la abundancia de cada complejo enzimático. El fin último de este estudio es desarrollar un algoritmo que procese la información enzimática a partir de datos experimentales de expresión génica de tumores de cáncer de mama, e incorpore esta información a los modelos metabólicos para predecir el comportamiento particular de cada tumor e identificar nuevas dianas terapéuticas. Para ello se ha estudiado una serie de muestras de cáncer de mama para la que se dispone de la cuantificación global de la expresión génica. Se ha empleado una Reconstrucción global del Metabolismo Humano, en la que se ha incorporado la abundancia enzimática estimada por el algoritmo CAPRI, desarrollado en el seno de esta tesis, y se han validado las predicciones del modelo en base al conocimiento previo sobre la desregulación metabólica tumoral y el comportamiento de cada subtipo de cáncer de mama. Se ha valorado la eficiencia del algoritmo CAPRI en términos de procesamiento computacional, mejorando las opciones preexistentes, así como analizar el impacto de la pérdida de información sobre las predicciones del modelo. Los resultados permiten establecer diferencias en la proliferación de los tumores por los subtipos moleculares, comparables al conocimiento previo sobre de los mismos. Para el subtipo basal, la tasa de crecimiento tumoral tuvo valor pronóstico. Así mismo, el modelo ha permitido identificar reacciones con potencial de convertirse en nuevas dianas terapéuticas. La estimación de la tasa de crecimiento tumoral mediante la incorporación de información génica en estos modelos es una herramienta útil tanto para predecir la tasa proliferativa de los tumores de mama, así como para definir posibles dianas terapéuticas específicas de cada grupo.Breast cancer is the most frequent tumor among women in occidental countries. Close to 600,000 women die each year because of breast cancer. Cellular energy deregulation is proving to be one of the most important characteristics of cancer. The metabolic models at the genomic scale allow simulating the behavior of the metabolism of a cell in the presence of environmental and genetic disturbances. They can incorporate several layers of information, such as massive gene expression data, as well as biochemical information on metabolic reactions. Flux Balance Analysis aims to estimate the metabolic flux of the network as a representation of the rates of chemical reactions. The experimental information of gene expression is included into the model "Gene-Protein-Reaction" rules, which allow estimating the abundance of each enzymatic complex. The ultimate goal of this study is to develop an algorithm that processes enzymatic information from experimental breast cancer gene expression data and incorporates this information into metabolic models to predict the particular behavior of each tumor, while identifying new therapeutic targets. To this end, a cohort of breast cancer samples for which global quantification of gene expression is available has been studied. A global Reconstruction of Human Metabolism has been employed, in which the enzyme abundance estimated by the CAPRI algorithm, developed within this thesis, has been incorporated. Model predictions have been validated using previous knowledge about metabolic deregulation in cancer and the behavior of each subtype of breast cancer. The efficiency of the CAPRI algorithm in terms of computational processing was evaluated, improving the preexisting options, as well as analyzing the impact of the loss of information on the predictions of the model. The results allow establishing differences in proliferation among molecular subtypes, comparable to previous knowledge about them. Moreover, the tumor growth rate had prognostic value in basal breast cancer subtype. Likewise, the model has allowed identifying reactions with potential to become new therapeutic targets. The estimation of tumor growth rate by incorporating gene information in these models is a useful tool both to predict the proliferative rate of breast tumors as well as to define possible therapeutic targets specific to each group

    Ground state phase diagram and superconductivity of the doped Hubbard model on six-leg square cylinders

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    We have studied the ground state properties of Hubbard model on long six-leg square cylinders with doped hole concentration per site 5.55%≤δ≤12.5%5.55\% \leq \delta\leq 12.5\% using density-matrix renormalization group. By keeping a large number of states for long system sizes, we find that the nature of the ground state is remarkably sensitive to the presence of next-nearest-neighbor electron hopping t′t'. In the positive t′t' side, we find a robust dd-wave superconducting (SC) phase characterized by coexisting quasi-long-range SC and charge density wave (CDW) correlations. Without t′t' the ground state forms an insulating stripe phase with long-range CDW order but short-range spin-spin and SC correlations. In stark contrast to four-leg cylinders, our results show that the lightly doped Hubbard model on six-leg cylinders remains insulating in the negative t′t' side where the SC correlations decay exponentially with short correlation lengths. In the larger negative t′t' side, the doped holes form a novel holon Wigner crystal with one doped hole per emergent unit cell and short-range spin-spin correlations.Comment: 8 pages, 6 figure
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