Caracterização mecânica e determinação da resistencia a tração de caña brava para uso em construções rurais

The techniques traditionally used for construction are evaluated by engineering design standards and methods, which are updated daily to optimize structural and material properties. However, the use of natural materials is limited by the lack of necessary studies and conservation techniques and even more by the lack of regulations for their use in civil constructions, which is reflected in the fact that rural communities do not make use of materials from their own region for the improvement and adaptation of their houses, Therefore, this study aims to investigate and provide quantitative and qualitative results on the fibers of caña brava (gynerium sagittatum), with the objective of determining whether these fibers can be used and have applications in the area of construction and improvement of housing in the rural sector. In this article you will find the first phase of the project in which physical characterization studies were carried out using optical microscopy (OM) and scanning electron microscopy (SEM) techniques, as well as tensile and compression mechanical strength tests, through which it was possible to determine the resistance of the object under study.Las técnicas usadas tradicionalmente para la construcción son evaluadas por normas y métodos de diseño en la ingeniería, las cuales se van actualizando diariamente para optimizar las propiedades estructurales y de los materiales. Sin embargo, el uso de materiales naturales está limitado por no contar con estudios necesarios y técnicas de conservación de los mismos y aún más por no contar con normatividad para su utilización en construcciones civiles, esto se ve reflejado en que las comunidades rurales no hacen uso de los materiales propios de su región para mejoramiento y adecuación de sus viviendas, por ello, en el presente estudio se pretende  investigar y dar resultados cuantitativos y cualitativos sobre las fibras de caña brava (gynerium sagittatum), esto con el objetivo de determinar si dichas fibras  pueden ser utilizadas y tener aplicaciones en el área de la construcción y mejoramiento  de viviendas en el sector rural. En este artículo podrá encontrarse la primera fase del proyecto en la cual se realizaron estudios de caracterización física empleando técnicas de microscopía óptica (MO) y microscopía de barredura electrónica (MEB), así como ensayos de resistencia mecánica de tracción y compresión, mediante los cuales fue posible determinar la resistencia del objeto en estudioAs técnicas tradicionalmente utilizadas para a construção são avaliadas por padrões e métodos de projeto de engenharia, que são atualizados diariamente para otimizar as propriedades estruturais e materiais. Entretanto, o uso de materiais naturais é limitado devido à falta dos estudos e técnicas de conservação necessários, e ainda mais devido à falta de regulamentos para seu uso em construções civis. Isto se reflete no fato de que as comunidades rurais não fazem uso de materiais de sua própria região para a melhoria e adaptação de suas habitações, Portanto, este estudo visa investigar e fornecer resultados quantitativos e qualitativos sobre as fibras de caña brava (gynerium sagittatum), com o objetivo de determinar se estas fibras podem ser utilizadas e têm aplicações na área da construção e melhoria de moradias no setor rural. Neste artigo você encontrará a primeira fase do projeto na qual foram realizados estudos de caracterização física utilizando técnicas de microscopia óptica (OM) e microscopia eletrônica de varredura (SEM), bem como testes de resistência mecânica à tração e compressão, por meio dos quais foi possível determinar a resistência do objeto em estudo

2009- 2010 UNLV McNair Journal

Journal articles based on research conducted by undergraduate students in the McNair Scholars Program Table of Contents Biography of Dr. Ronald E. McNair Statements: Dr. Neal J. Smatresk, UNLV President Dr. Juanita P. Fain, Vice President of Student Affairs Dr. William W. Sullivan, Associate Vice President for Retention and Outreach Mr. Keith Rogers, Deputy Executive Director of the Center for Academic Enrichment and Outreach McNair Scholars Institute Staf

2005- 2008 UNLV McNair Journal

Journal articles based on research conducted by undergraduate students in the McNair Scholars Program Table of Contents Biography of Dr. Ronald E. McNair Statements: Dr. Neal J. Smatresk, UNLV President Dr. Juanita P. Fain, Vice President of Student Affairs Dr. William W. Sullivan, Associate Vice President for Retention and Outreach Mr. Keith Rogers, Deputy Executive Director of the Center for Academic Enrichment and Outreach McNair Scholars Institute Staf

[6]センターの行事

Supplementary Methods and Results4.pdf. Supplementary Methods: Survey Administration: Additional details about how the surveys were administered. Supplementary Results: Clinician Feedback: The results of the clinician survey in Additional file 3 show that clinicians perceive higher patient comfort when using a live interpreter. (PDF 61 kb

Tariff classification, tariff and non-tariff regulations compliance of the most used products during the SARS-COV-2 panmedic in Mexico

The tariff classification is the method used to determine the tariff harmonized of the merchandise subject to foreign trade, with this system the general import is known, as well as the regulations and non-tariff restrictions that each merchandise must comply with at the time of being import to our country. Mexico is member  of the World Customs Organization, which is why it uses the international nomenclature of the Harmonized System of Designation and Codification of Goods, with the creation of the General Import and Export Tax Law, better known as the L.I.G.I.E. which contains the General Import and Export Tax Rate. Recently there has been a significant commercial exchange of products related to the pandemic better known as COVID-19, that is why this article shows the harmonized tariff schedule and non-tariff regulations of the productsmost used during the sanitary contingency

Two practical cases of tariff classification that generated conflict in the Customs of Ciudad Juarez, Chihuahua during the COVID-2019 pandemic.

The tariff classification is undoubtedly the fundamental part within foreign trade, it can be said that it is the backbone of said operation, since it is necessary to determine the tariff classification of each product to know the tariffs to pay, as well as the regulations and restrictions non-tariff duties that these products must comply with for their import into our country. That is why in this article two cases that generated conflict in the customs of Ciudad Juarez,Chihuahua, Mexico are disclosed

Probabilistic spatial-temporal prediction of total and severe epidemic of dengue in Colombia

Objetivo Establecer una nueva metodología predictiva de la proporción de dengue grave respecto al total anual de infectados de dengue por departamento con base en la teoría de la probabilidad. Métodos Con base en los datos anuales de número de infectados por departamentos en el periodo 2005 -2010, se calculó la proporción entre casos de dengue grave respecto al total para cada año, y se construyeron espacios de probabilidad que evalúan estos eventos en rangos de 0,5 y 0,3. Se determinaron conjuntos de rangos y se calculó probabilidad, desviación media cuadrática y la diferencia entre ellas. Se realizó una predicción del rango de infectados para el 2011 con el promedio aritmético de los valores de los últimos dos años. Resultados Se predijo correctamente el rango en el que se encuentra incluida la proporción de número de infectados de dengue grave sobre el total en cada departamento con una efectividad del 93,3% para el rango de 0,5 y de 86,7% para el de 0,3. Conclusión Se evidenció una autoorganización matemática espacio temporal en la proporción de dengue grave respecto al total que permite establecer predicciones de utilidad para la toma de decisiones de salud pública.Objetive : To establish a new predictive methodology to determine the proportion of severe dengue with respect to the annual total of dengue infections per department based on the probability theory. MATERIALS AND METHODS : Based on annual data on the number of infected persons by department in the period 2005-2010, the proportion of cases of severe dengue was calculated with respect to the total for each year. Probability spaces were constructed to evaluate these events in the ranges 0. 5 and 0. 3. Sets of ranges were determined and probability, mean square deviation and the difference between them were estimated. A prediction of the range of infected people for 2011 was made using the arithmetic average of the values of the last two years. RESULTS : The range in which the proportion of the number of people infected with severe dengue is included with respect to the total amount in each department was correctly predicted, with an effectiveness of 93. 3% for the 0. 5 range and 86. 7% for the 0. 3 range. CONCLUSION : A mathematical spatial-temporal self-organization was found in the proportion of severe dengue with respect to the total, which allows establishing useful predictions for decision-making in public health