Antioxidant capacity evaluation by means of electrolysis at controlled potential

The characterization of antioxidant (AO) has been studied due to their potential action against oxidative stress and many works are dedicated to establish correlations between AO in food and health maintenance, other focused on the antioxidant status in physiological fluids and the beginning of diseases and others in preventing oxidative degradation of food, such as in the case of wines white. (...

Aquatic pollutants: risks, consequences, possible solutions and novel testing approaches

It is undeniable that there is a wide variety of pollutants in the various water bodies around the planet, including organic and inorganic compounds, pathogenic microorganisms, and microplastics. The existence of these aquatic pollutants has a direct impact on the survival and well-being of all species that are present in these habitats and poses, directly or indirectly, a risk to human health. Although the origin of these pollutants has already been identified in most situations, the study of their effects, in the short and long term, as well as the best solutions to prevent or avoid the adverse consequences of pollution, remains a challenge for researchers. Human activity, both at the agricultural and livestock production level and at the industrial level, has a profound impact on water pollution [1]. In addition, the use of detergents, pharmaceuticals and other health products and substances in our daily lives also contributes to the increased concentration of various pollutants that affect aquatic life. Currently, many effluents discharged into the aquatic environment are still not subject to appropriate prior treatment that ensures the removal of all these potentially toxic substances. Although much progress has already been made in the treatment of various types of effluent, many compounds are still identified that resist the process and continue to be discharged into the water [1,2].info:eu-repo/semantics/publishedVersio

The Versatile Sago (Metroxylon sagu Rottb.) and Its Green Potential for Mindanao

Sago palm can be found wild in marshy areas in the southern part of the Philippines. This palm, which is indigenous to Southeast Asia, is much valued because of its capacity to protect the environment and survive even in peat swamps and flooded areas without the need for pesticides and fertilizers. Sago is also resistant to forest fires. This hardy plant can yield as much as 15 to 25 tons of starch per hectare, one of the highest in terms of calorific yield among starch crops, by accumulating large amounts of starch in the trunk. It thrives in waterlogged, acidic soils where few other plants survive without the need to replant because there are suckers closely growing beside the mother plant when the latter gets to be harvested. Some important economic uses of sago starch besides being a staple food are presented.  Sago starch, like any other, can be used as food ingredient, as edible films and food packaging, as food extenders, and when “modified” they acquire more stability and gel strength for diverse uses. It is also converted into such products in the food and beverage industry as glucose, high fructose corn syrup, monosodium glutamate, maltodextrins, and cyclodextrins. More recently, appropriate biotechnologies are being studied for conversion of sago starch into high value products, specifically ethanol for fuel, and acetic and lactic acids, which are highly priced raw materials for the biopolymer industry.  Besides its use for food and industrial processing, the sago palm trunk and leaves are also widely known for their use as construction material or as raw material in the forest products industry

Helping Academic Struggling Elementary School Students Succeed

There is a push to focus on academics for struggling elementary school students to be successful. Research has shown that teachers and tutors who use various teaching methods have helped students to be successful in their academic performance. This senior capstone project explores how struggling students can achieve success in school and at the same time can catch up with their classmates. Through a literature review, interviews and surveys conducted with two elementary school teachers, a coordinator and students in Monterey County, the results reveal how beneficial it is for students to have extra help from teachers and tutors. In particular when they receive one-on-one assistance. The results from interviews and surveys also reveal how teachers in the Monterey County can help struggling students to succeed in their academics. In addition, extra help from tutors can also be very beneficial as it provides additional academic assistance for struggling students

Land Use Identification of the Metropolitan Area of Guadalajara Using Bicycle Data: An Unsupervised Classification Approach

El siguiente trabajo propone diferentes maneras de resolver una problemática que se encuentra en la actualidad, que es el hacer la investigación en el área de land-use, mapeo y comportamiento humano evaluando su movimiento por medio de fuentes de información que contienen información geo referenciada, también se comparte la meta de clasificar diferentes secciones y su relación entre ellas. Se utilizó como fuente de información MiBici que es una plataforma de compartimiento de bicicleta que existe en la ciudad de Guadalajara, Jalisco, la cual comparte mes tras mes un archivo consolidado de los viajes que se realizan en cada mes, cabe mencionar que el acceso de esta información es totalmente libre. Las metodologías utilizadas fueron agile para planeación del proyecto, KNN, Decision Trees y KMeans para la cauterización de las zonas, el lenguaje de programación utilizado fue Python, además se anexo una propuesta de implementación utilizando la plataforma de Amazon Web Service con el objetivo de proponer una solución más “sencilla” de implementar, pero con el mismo valor que hacerlo con puros recursos libres. El proceso se dividió primordialmente en 3 partes en donde la primera fue limpiar datos y entenderlos, se aplicaron algoritmos machine learning que fueron Decision tree y KNN, para la segunda etapa evaluando los resultados de la etapa anterior se hicieron modificaciones a los datos en donde se agregaron nuevos campos para mejor los resultados y se aplicó KMeans para la creación de grupos y como último paso se creó un flujo que inicio con la limpieza de los datos en crudo utilizando herramientas de AWS y se terminó con la interpretación de los resultados finales. Los resultados obtenidos fueron demasiados alentadores ya que los grupos que se obtuvieron fueron demasiados marcados y revisándolo con las zonas relacionadas a los nodos se encontró una gran relación. Sin duda alguna queda aún demasiado trabajo a desarrollar en esta rama de investigación