Aplicación de productos derivados del insecto Dactylopius coccus Costa (Homóptera, Dactylopiidae)

Gabriela Arroyo Figueroa GRACIELA MA. DE LA LUZ RUIZ AGUILAR LORENA VARGAS RODRIGUEZ GUILLERMO GONZALEZ SANCHEZ (2012, [Artículo])

Actualmente muchas industrias buscan sustituir los colorantes sintéticos por naturales, debido a su efecto nocivo y a la alta contaminación del medio ambiente. Del insecto Dactylopius coccus Costa (grana carmín) se obtienen productos naturales que se pueden usar como colorantes, por lo que el objetivo de este trabajo fue difundir la aplicación del insecto grana carmín y los productos derivados del mismo en el teñido de una tela de algodón y en la coloración de una bala labial a nivel laboratorio. Al aplicar el extracto acuoso de la grana carmín sobre la tela de algodón, se consiguieron colores homogéneos, con valores promedio en la escala CIELab de: 43.81±0.33 L*, 44.64±0.15 a* y -4.03±0.55 b*. Asimismo al aplicar el pigmento laca carmín en la elaboración de una bala labial se lograron colores uniformes con los siguientes valores promedio en la escala CIELab: 13.25±3.62 L*, 4.80±1.41 a* y -0.23±0.84 b*.

Nowadays many industries want to replace synthetic dyes by natural, due to its harmful effects and the high contamination of the environment. Dactylopius coccus Costa (cochineal) is an insect to obtain natural products that are used as dyes. The aim of this study

was to promote the application of cochineal and the products derivates of these insect, in the dyeing of cotton fabric and in the coloration of a lipstick bullet at the laboratory. Was applied to the aqueous extract of cochineal on cotton fabric, obtaining homogeneous colors, with average values in the CIELab scale of: 43.81±0.33 L*, 44.64±0.15 a* y -4.03±0.55 b*. It also was applied the carmine pigment in the elaboration of a lipstick bullet, was obtained consistent color with the following average values on the CIELab scale: 13.25±3.62 L*, 4.80±1.41 a* y -0.23±0.84 b*.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA Grana Carmín Colorantes naturales Teñido Bala labial Cochineal Natural dye Dyeing Lipstick bullet

Drought vulnerability indices in Mexico

David Ortega Gaucin JESUS DE LA CRUZ BARTOLON HEIDY VIVIANA CASTELLANO BAHENA (2018, [Artículo])

Drought is one of the most harmful hydro climatic threats to society. Mexico has been historically affected by recurring and long-lasting droughts that have severely impacted society and the economy. Consequently, public programs and policies have been developed in order to reduce the country’s vulnerability to drought, hence the importance of identifying the spatial distribution and the dimension—even in relative terms only—of vulnerability in different regions from social, economic, and environmental perspectives. This article presents a method for obtaining indices and maps of vulnerability to drought in Mexico; indices and maps are based on a set of socioeconomic and environmental indicators that the method combines using an objective analytic procedure that identifies the most vulnerable states and municipalities from social, economic, and environmental perspectives, all of which converge in overall vulnerability to drought. The results obtained indicate that 38.9% of total Mexican population inhabits municipalities with high and very high degrees of overall vulnerability to drought. For this reason, it is necessary to continue implementing actions and preventive and mitigation strategies via public policies and social programs aimed at decreasing the country’s vulnerability to the occurrence of drought events. This is the only way to facilitate the necessary conditions to reduce the impact of drought and to decrease people’s vulnerability to this phenomenon.

Sequías Desastres naturales Gestión de riesgos Vulnerabilidad CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA

Amenazas y vulnerabilidades: las dos caras de los desastres en Celestún, Yucatán

Threats and vulnerabilities: two faces of disasters in Celestún, Yucatán

DENISE SOARES DANIEL MURILLO LICEA ROBERTO ROMERO PEREZ Gemma Millán (2014, [Artículo])

En este trabajo se reflexiona sobre la triada vulnerabilidad-desastres-desarrollo y se presenta un estudio de caso en el municipio de Celestún, Yucatán, sobre percepciones sociales acerca de la vulnerabilidad de la población frente a las amenazas de eventos meteorológicos extremos. Se pretende conocer las opiniones de la población respecto de su acceso a la capacitación sobre cómo enfrentar los huracanes, su capacidad para protegerse de dichas amenazas y su evaluación de la gestión de las autoridades locales en la materia.

Social and environmental constraints of the risks, responses to disasters, as well as the nature of the relationship between disaster and development have been the subject of increasing attention from researchers in the social sciences. That’s because the risks of disasters have become a growing threat by climate change. In this work we reflect over the triad vulnerability-disaster-development and present a case study in the municipality of Celestún, Yucatán, on social perceptions about the vulnerability against extreme weather events. We expected to know the views of the population regarding hurricanes, their access to the training and to evaluation of local authorities’ management.

Investigación realizada con fondos de la Secretaría de Educación Pública-Consejo Nacional de Ciencia y Tecnología, Ciencias Básicas.

Analisis de vulnerabilidad Desastres naturales Condiciones sociales Celestún CIENCIAS SOCIALES

Gestión de riesgo de desastres, género y cambio climático: percepciones sociales en Yucatán, México

Disaster risk management, gender and climate chage: social perceptions in Yucatan, Mexico

DENISE SOARES DANIEL MURILLO LICEA (2013, [Artículo])

El objetivo del presente trabajo es abonar a la reflexión de la articulación entre la gestión de riesgo de desastres y la equidad de género. Se presenta un estudio de caso en cuatro localidades del estado de Yucatán, México, sobre percepciones respecto al cambio climático y capacidades institucionales sobre gestión de riesgos. Para conocer las percepciones sociales locales se han utilizado los métodos de encuestas y entrevistas a informantes clave, y los resultados encontrados dan cuenta de la existencia de severos problemas en la institucionalidad municipal encargada tanto de la gestión de riesgo de desastres como de la promoción de procesos de mayor igualdad de género; además de esto, se registró un escaso conocimiento sobre los factores que provocan el cambio climático.

The aim of this paper is to contribute to the reflection on the link between disaster risk management and gender equity. It is presented a case study on perceptions about climate change and institutional abilities regarding risk management in four locations of the state of Yucatan, Mexico. In order to know the local social perceptions, surveys and interviews were administered to key informants, and the results account for the existence of serious problems in municipal institutions in charge of both disaster risk management and the promotion of processes to generate greater gender equality. Additionally, a lack of knowledge about the factors that cause climate change was recorded.

Cambio climático Desastres naturales Género Yucatán CIENCIAS SOCIALES

Atlas para el manejo de riesgos en grandes obras hidráulicas por efecto de eventos meteorológicos extremos: primera etapa

ISAAC BONOLA ALONSO José Alfredo González Verdugo JOSE RAUL FLORES BERRONES JAVIER AVILES LOPEZ XIANGYUE LI LIU (2011, [Documento de trabajo])

Tabla de contenido: Introducción – Búsqueda y análisis de información – Objetivo del análisis multiespectral – Justificación – Introducción al análisis multiespectral – Metodología – Análisis analógico multiespectral de las imágenes de satélite empleadas – Estructuras volcánicas – Estructuras sedimentarias – Estructuras geomorfológicas sedimentarias – Reología – Reología de la sustancia actuante – Los índices estructurales genéticos de las rocas sedimentarias – Porosidad de las rocas carbonatadas – Deslizamiento de paredes montañosas y de tierras – Conclusiones y recomendaciones – Información relevante recopilada.

Introducción – Búsqueda y análisis de información – Objetivo del análisis multiespectral – Justificación – Introducción al análisis multiespectral – Metodología – Análisis analógico multiespectral de las imágenes de satélite empleadas – Estructuras volcánicas – Estructuras sedimentarias – Estructuras geomorfológicas sedimentarias – Reología – Reología de la sustancia actuante – Los índices estructurales genéticos de las rocas sedimentarias – Porosidad de las rocas carbonatadas – Deslizamiento de paredes montañosas y de tierras – Conclusiones y recomendaciones – Información relevante recopilada.

Construcciones hidráulicas Reología Desastres naturales Factores meteorológicos Informes de proyectos INGENIERÍA Y TECNOLOGÍA

A Novel Technique for Classifying Bird Damage to Rapeseed Plants Based on a Deep Learning Algorithm.

Ali Mirzazadeh Afshin Azizi Yousef Abbaspour_Gilandeh José Luis Hernández-Hernández Mario Hernández Hernández Iván Gallardo Bernal (2021, [Artículo])

Estimation of crop damage plays a vital role in the management of fields in the agricultura sector. An accurate measure of it provides key guidance to support agricultural decision-making systems. The objective of the study was to propose a novel technique for classifying damaged crops based on a state-of-the-art deep learning algorithm. To this end, a dataset of rapeseed field images was gathered from the field after birds¿ attacks. The dataset consisted of three classes including undamaged, partially damaged, and fully damaged crops. Vgg16 and Res-Net50 as pre-trained deep convolutional neural networks were used to classify these classes. The overall classification accuracy reached 93.7% and 98.2% for the Vgg16 and the ResNet50 algorithms, respectively. The results indicated that a deep neural network has a high ability in distinguishing and categorizing different image-based datasets of rapeseed. The findings also revealed a great potential of Deep learning-based models to classify other damaged crops.

rapeseed classification damaged crops deep neural networks INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS TECNOLOGÍA DE LOS ALIMENTOS

Classification of Cucumber Leaves Based on Nitrogen Content Using the Hyperspectral Imaging Technique and Majority Voting.

Sajad Sabzi Razieh Pourdarbani Mohammad Hossein Rohban Alejandro Fuentes_Penna José Luis Hernández-Hernández Mario Hernández Hernández (2021, [Artículo])

Improper usage of nitrogen in cucumber cultivation causes nitrate accumulation in the fruit and results in food poisoning in humans; therefore, mandatory evaluation of food products becomes inevitable. Hyperspectral imaging has a very good ability to evaluate the quality of fruits and vegetables in a non-destructive manner. The goal of the present paper was to identify excess nitrogen in cucumber plants. To obtain a reliable result, the majority voting method was used, which takes into account the unanimity of five classifiers, namely, the hybrid artificial neural network¿imperialism competitive algorithm (ANN-ICA), the hybrid artificial neural network¿harmonic search (ANN-HS) algorithm, linear discrimination analysis (LDA), the radial basis function network (RBF), and the Knearest- neighborhood (KNN). The wavelengths of 723, 781, and 901 nm were determined as optimal wavelengths using the hybrid artificial neural network¿biogeography-based optimization (ANNBBO) algorithm, and the performance of classifiers was investigated using the optimal spectrum. The results of a t-test showed that there was no significant difference in the precision of the algorithm when using the optimal wavelengths and wavelengths of the whole range. The correct classification rate of the classifiers ANN-ICA, ANN-HS, LDA, RBF, and KNN were 96.14%, 96.11%, 95.73%, 64.03%, and 95.24%, respectively. The correct classification rate of majority voting (MV) was 95.55% for test data in 200 iterations, which indicates the system was successful in distinguishing nitrogen-rich leaves from leaves with a standard content of nitrogen.

artificial neural network cucumber hyperspectral imaging majority voting nitrogen INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS TECNOLOGÍA DE LOS ALIMENTOS

Comparison of Different Classifiers and the Majority Voting Rule for the Detection of Plum Fruits in Garden Conditions.

Razieh Pourdarbani Sajad Sabzi Mario Hernández Hernández José Luis Hernández-Hernández Ginés García_Mateos Davood Kalantari José Miguel Molina Martínez (2019, [Artículo])

Color segmentation is one of the most thoroughly studied problems in agricultural applications of remote image capture systems, since it is the key step in several different tasks, such as crop harvesting, site specific spraying, and targeted disease control under natural light. This paper studies and compares five methods to segment plum fruit images under ambient conditions at 12 different light intensities, and an ensemble method combining them. In these methods, several color features in different color spaces are first extracted for each pixel, and then the most e

ective features are selected using a hybrid approach of artificial neural networks and the cultural algorithm (ANN-CA). The features selected among the 38 defined channels were the b* channel of L*a*b*, and the color purity index, C*, from L*C*h. Next, fruit/background segmentation is performed using five classifiers: artificial neural network-imperialist competitive algorithm (ANN-ICA); hybrid artificial neural network-harmony search (ANN-HS); support vector machines (SVM); k nearest neighbors (kNN); and linear discriminant analysis (LDA). In the ensemble method, the final class for each pixel is determined using the majority voting method. The experiments showed that the correct classification rate for the majority voting method excluding LDA was 98.59%, outperforming the results of the constituent methods.

remote sensing in agriculture artificial neural network hybridization environmental conditions majority voting plum segmentation INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS TECNOLOGÍA DE LOS ALIMENTOS

Microbiological Analysis of the Air in a Popular Fish Processing and Marketing Area

Angélica Sinaí Quintanilla Martínez Lizet Aguirre Güitrón Luis Daniel Espinosa Chaurand MAYRA DIAZ RAMIREZ ALEJANDRO DE JESUS CORTES SANCHEZ (2022, [Artículo])

"Fish are marketed as a food and consumed worldwide. During the production of food, contamination by microorganisms is possible through the air, soil, water, surfaces, food handlers, etc. The air does not have a natural microbial composition, but it is a vehicle for the transmission of microorganisms of economic and health interest because they are associated with food spoilage and human diseases. The objective of this study was the microbiological analysis of the air in an area popular for the processing and marketing of fish products in the city of Tepic Nayarit. Using the passive or sedimentation method to collect microorganisms present in the air, the proportion of aerobic mesophile bacteria, coliform bacteria, fungi and yeast was determined at different locations in the fish processing and marketing area for four weeks. The results indicated that the aerobic mesophiles had the highest counts among all the microbial groups analyzed at the twelve different sampling points during the four weeks of the study; their numbers ranged from 2.44 to 2.95 log CFU/m3/h, followed by molds with counts from 1.44 to 2.75 log CFU/m3/h, yeasts with counts from 0.7 to 2.01 log CFU/m3/h and coliforms with counts that ranged from 0.7 to 1.68 log CFU/m3/h. We determined the proportion of the viable microbiological population present in the air at the different sampling points of the study area; several of these sampling points presented values above those recommended by various agencies around the world. Knowledge of the biological hazards transported through the air is important to establish and reduce the risk to the health of occupants and the contamination pathways of processed and marketed fishery products that may be associated with spoilage and foodborne diseases."

food safety, food quality, air pollution, airborne biohazard, environmental monitoring INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS TECNOLOGÍA DE LOS ALIMENTOS HIGIENE DE LOS ALIMENTOS HIGIENE DE LOS ALIMENTOS

Distribución del carbono forestal y la riqueza de especies en la Reserva Ecológica Cuxtal, Yucatán, México

JOSE LUIS HERNANDEZ STEFANONI Juan Andrés Mauricio Fernando de Jesús Tun Dzul LUIS ANGEL HERNANDEZ MARTINEZ KARINA ELIZABETH GONZALEZ MUÑOZ VÍCTOR ALEXIS PEÑA LARA ERIC ANTONIO GAMBOA BLANCO (2023, [Artículo])

En este estudio se generaron mapas de la densidad de carbono y la riqueza de especies de árboles en la Reserva Ecológica Cuxtal, así como mapas bivariados para evaluar la relación espacial entre ambas variables. La correlación entre la densidad de carbono y la riqueza de especies en la reserva fue positiva con un valor de 89%. Además, el 16.9% de la superficie de la reserva presentó valores altos de carbono almacenado y riqueza de especies. Los resultados destacan la importancia de combinar mapas de carbono y riqueza de especies para identificar áreas relevantes para la conservación de la biodiversidad y el mantenimiento del servicio ecosistémico de almacenamiento de carbono.

AREAS NATURALES PROTEGIDAS BIOMASA AEREA BOSQUES TROPICALES SECOS DIVERSIDAD DE ESPECIES BIOLOGÍA Y QUÍMICA CIENCIAS DE LA VIDA BIOLOGÍA VEGETAL (BOTÁNICA) ECOLOGÍA VEGETAL ECOLOGÍA VEGETAL