Intimate partner violence and its relationship to labor income

Yei Javier Zepeda Hernández Alma Sofia Santillan (2024, [Artículo, Artículo])

In Mexico, 70.1% of women have been victims of violence in their lifetime and the main perpetrator is her intimate partner. Gender violence is a public health problem that has multiple negative impacts in woman and their offsprings. The relation violence and income is an issue that has been scarcely studied for Mexico. The objective of this article is to analyze the intimate partner violence and its relationship to labor income for Mexican women, data used are from the National Survey on the Dynamics of Households Relationships (ENDIREH 2021). The principal component method is used to estimate five kinds of violence; physical, emotional, economic, sexual and, harassment. The instrumental variables method is used to consider the endogeneity of income and violence variables. Except harassment, the results indicate a negative relationship between income and violence. Specifically, sexual violence has the greatest negative effects; women who are victims of sexual violence have an average reduction of 17.4% in monthly labor income. This negative effect represents a loss of just over two month of working days per year and, in the aggregate terms, is equivalent to 0.87% of GDP. The above highlights the importance of orienting public policy actions to work in prevention, attention, punishment and eradications any kind of violence against women. 

Intimate partner violence Labor income Endogeneity Instrumental variables Cost of violence Violencia de pareja Ingresos laborales Endogeneidad Variables instrumentales Costo de la violencia. CIENCIAS SOCIALES CIENCIAS SOCIALES

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

In vitro Digestibility of Yarrowia lipolytica Yeast and Growth Performance in Whiteleg Shrimp Litopenaeus vannamei

ANA RUTH ALVAREZ SANCHEZ CLAUDIO HUMBERTO MEJIA RUIZ Héctor Gerardo Nolasco Soria Alberto Peña Rodríguez (2018, [Artículo])

"Marine yeasts used in aquaculture disease control can also be an important protein source for improving feeding and nutrition of crustaceans. Yarrowia lipolyticca has been studied for its capacity to secrete heterologous proteins and high content of unsaturated fatty acids, beta-glucan, and mannane polymers in the cell wall. We measured in vitro digestibility of Y. lipolyticca by whiteleg shrimp Litopenaeus vannamei digestive enzymes, and an in vivo assay of Y. lipolytica in feed onwhiteleg shrimp growth. We found that digestive gland enzymes of shrimp digest Y. lipolytica, based on reduced optical density of a yeast suspension. Digestion was –0.00236 ± 0.00010 OD U min–1 for intact cells and –0.00325 ± 0.00010 OD U min–1 for lysed cells. Release of reducing sugars in intact cells (5.3940 ± 0.1713 μmol h–1), and lysed cells (0.8396 ± 0.2251 μmol h–1) was measured. Digestive gland treatment significantly reduced cell viability (near 100%), relative to the control. Electron microscopy shows that the cell wall of Y. lipolytica exposed to the digestive gland enzymes was severely damaged. Shrimp diet containing Y. lipolytica resulted in significantly higher weight gain and specific growth rate of whiteleg shrimp."

Marine yeast, cell digestibility, cell viability, turbidimetry, reduced sugars BIOLOGÍA Y QUÍMICA CIENCIAS DE LA VIDA BIOQUÍMICA BIOQUÍMICA DE ALIMENTOS BIOQUÍMICA DE 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

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

El uso del NIRS como alternativa viable en el análisis químico en dietas para alimento animal El uso del NIRS como alternativa viable en el análisis químico en dietas para alimento animal

Yuneisy Milagro Agüero Fernández Edilmar Cortés Jacinto FERNANDO VEGA VILLASANTE Manuel Alejandro Vargas Ceballos MIRIAM VICTORIA MARTIN MANZO (2021, [Artículo])

"El análisis de la composición química de los insumos utilizados en la preparación de alimentos para producción animal es relevante dentro del proceso productivo. La medición de la reflectancia en el espectro infrarrojo cercano en los alimentos ha permitido describir la composición química de los mismos. La técnica que se emplea para estas mediciones se conoce como Espectroscopía de Reflectancia en el Infrarrojo Cercano, también conocida como NIRS (por sus siglas en inglés, Near Infrared Reflectance Spectroscopy)."

reflectancia, infrarrojo, alimento, muestras, ventajas CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CIENCIAS AGRARIAS PRODUCCIÓN ANIMAL NUTRICIÓN NUTRICIÓN

Avances en Agricultura Sustentable : Resultados de plataformas de investigación Hub Pacífico Norte 2010-2021

Simon Fonteyne Nele Verhulst (2022, [Libro])

Esta edición presenta los resultados de la red de plataformas en el Hub Pacífico Norte, misma que resulta de la colaboración entre el CIMMYT; el Patronato para la Investigación y Experimentación Agrícola del Estado de Sonora A.C. (PIEAES); el Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias (INIFAP); la Asociación de Agricultores del Río Sinaloa Poniente (AARSP); la Asociación de Agricultores del Río Fuerte Sur (AARFS); la Asociación de Agricultores del Río Culiacán (AARC); la Universidad Autónoma de Sinaloa (UAS); Servicios Agrofinancieros del Norte S.A. de C.V. (SAFINSA); el Club de Labranza de Conservación del Valle del Évora; Granera del Noroeste S.A. de C.V; y el Instituto de Ciencias Agrícolas de la Universidad Autónoma de Baja California (ICA-UABC). Los lectores podrán encontrar en este libro los resultados de las plataformas con más tiempo de operación, en donde ya se han podido generar suficientes datos para sacar conclusiones basadas en evidencias sólidas. Esperamos que el libro pueda servir de inspiración a los productores para que busquen que sus actividades en el campo sean más productivas, rentables y sustentables.

Plataformas de Investigación Maíz Amarillo Pulgón Áreas de extensión Módulos demostrativos Autosuficiencia Alimentaria Uso de Insumos Ganancias para el Productor Nodos de Innovación CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA AGRICULTURA DE CONSERVACIÓN COSTOS DE PRODUCCIÓN EUTROFIZACIÓN MONOCULTIVO DEGRADACIÓN DEL SUELO CONTAMINACIÓN PLAGUICIDAS CAMBIO CLIMÁTICO PLATAFORMAS DE INNOVACIÓN EXTENSIÓN AGRÍCOLA AUTOSUFICIENCIA INSUMOS AGRÍCOLAS CONSERVATION AGRICULTURE PRODUCTION COSTS EUTROPHICATION MONOCULTURE SOIL DEGRADATION CONTAMINATION PESTICIDES CLIMATE CHANGE INNOVATION PLATFORMS AGRICULTURAL EXTENSION SELF-SUFFICIENCY FARM INPUTS

Caracterización de un sistema constructivo de bajo impacto ambiental para viviendas destinadas a poblaciones vulnerables

Alma Luisa (2022, [Tesis de maestría])

418 páginas. Maestría en Diseño Bioclimático.

Este trabajo tiene como objetivo mostrar los beneficios y la decisión de elegir un Sistema Constructivo de Bajo Impacto Ambiental para Viviendas destinadas a Poblaciones Vulnerables, como primera opción en las construcciones de viviendas, hablando de manera general en México. De manera particular este trabajo se desarrolló en el caso de estudio específico, en la Alcaldía Xochimilco, en el pueblo de Santa Cruz Acalpixca, en donde se realizaron diversos estudios de la tierra más adecuada, al igual que diversos tipos de test, para conocer las propiedades de la tierra y así poder desarrollar con este estudio de investigación de los elementos el proceso de construcción de una Vivienda de 67.24 m₂, la cual se está planeando efectuar. A su vez se realizaron los estudios pertinentes, los cuales muestran que la vivienda es segura y está garantizada su habitabilidad, para ejecutar la construcción de este proyecto. Durante los proyectos de construcción de Sistemas Constructivos convencionales, se realizan grandes procesos de inversión en la obtención de los materiales que proporcionen las características necesarias de resistencia y soporte para las estructuras de la edificación. A su vez la obtención de estos materiales, es la actividad que puede generar mayor cantidad de impactos adversos al ambiente y a la calidad de vida de las personas. Por ello uno de los principios de la construcción sostenible es la implementación de materiales amigables con el ambiente, con larga vida útil y que para su manipulación se requiere un consumo de energía menor que lo necesario para el manejo de los materiales convencionales. Derivado de este documento tenemos como primicia, la contribución de los beneficios de la construcción sostenible, comparados con la construcción tradicional que se ha venido implementando en la sociedad actual. El presente documento se enfocará en la selección del Sistema constructivo con sus materiales y los costos relacionados al hacer uso de ellos, los impactos ocasionados en cada una de las etapas del proyecto y el costo-beneficio que genera la construcción tradicional y la aplicación de la sostenibilidad en la misma.

This work aims to present the benefits and the decision to choose a Low Environmental Impact Construction System for Housing for Vulnerable Populations, as the first option in housing construction, generally speaking in Mexico. In particular, this work was developed in the specific case study, in the Xochimilco Mayor's Office, in the town of Santa Cruz Acalpixca, where various studies of the most suitable land were carried out, as well as various types of tests, to know the properties of the land and thus be able to develop with this research study of the elements the construction process of a House of 67.24 m₂, which is being planned. At the same time, the pertinent studies were carried out, which show that the house is safe and its habitability is guaranteed, to execute the construction of this project. During the construction projects of conventional Construction Systems, large investment processes are made in obtaining the materials that provide the necessary characteristics of resistance and support for the building structures. In turn, obtaining these materials is the activity that can generate the greatest number of adverse impacts on the environment and on people's quality of life. For this reason, one of the principles of sustainable construction is the implementation of environmentally friendly materials, with a long useful life and that require less energy consumption for their handling than is necessary for the handling of conventional materials. Derived from this document we have as a first, the contribution of the benefits of sustainable construction, compared to traditional construction that has been implemented in today's society. This document will focus on the selection of the construction system with its materials and the costs related to making use of them, the impacts caused in each of the stages of the project and the cost-benefit generated by traditional construction and the application of technology. sustainability in it.

Housing--Mexico--Mexico City. Low-income housing. Environmental impact analysis. Vivienda -- Ciudad de México. Vivienda de bajo costo. Análisis del impacto ambiental. HD7306.M4 HUMANIDADES Y CIENCIAS DE LA CONDUCTA CIENCIAS DE LAS ARTES Y LAS LETRAS ARQUITECTURA DISEÑO ARQUITECTÓNICO

Indicadores industriales en el uso del agua: industria alimentaria

RAMON LOPEZ HERNANDEZ (2001, [Libro])

Tabla de contenido: 1. Industria alimentaria -- 2. Proceso de fabricación -- 3. Control de la contaminación -- 4. Parámetros e índices específicos de uso del agua -- 5. Conclusiones -- 6. Bibliografía.

1. Industria alimentaria -- 2. Proceso de fabricación -- 3. Control de la contaminación -- 4. Parámetros e índices específicos de uso del agua -- 5. Conclusiones -- 6. Bibliografía.

Industria de alimentos Consumo industrial de agua Usos del agua Indicadores industrailes CIENCIAS SOCIALES