Polymers constitute a series of materials that are essential for many processes such as: food transport, packaging and distribution, construction, etc. Hence, it is important to understand the variables that this proc...Polymers constitute a series of materials that are essential for many processes such as: food transport, packaging and distribution, construction, etc. Hence, it is important to understand the variables that this process depends on. Experimental design is a powerful tool that enables the identification of variables that significantly influence a process through a matrix of experiments that a software constructs. With the aim of implementing ICTs in the learning—teaching process of polymers in a university group, the polymerization process system of PPMA (polymethylmethacrylate) is studied. The variables that affect the size of the Pearl are: temperature, reaction time and volumen of the polyvinyl alcohol aqueous phase. These variables are optimized through a Box-Behnken experimental design with three factors in three levels, achieving the construction of the response surface to optimize the process, obtaining a tridimensional equation that enables the prediction of the Pearl size through the values of the independent variables. Finally, the student acquires the competency of manipulating the variables that affect the polymerization process to optimize the process. For this reason, Design Expert is a valuable ICT tool in the learning-teaching process of polymerization systems.展开更多
Breast cancer is one of the most common and deadliest types of cancer among women and early detection is of major importance to decrease mortality rates. Microcalcification clusters and masses are two major indicators...Breast cancer is one of the most common and deadliest types of cancer among women and early detection is of major importance to decrease mortality rates. Microcalcification clusters and masses are two major indicators of malignancy in the early stages of this disease, when mammography is typically used as the screening technology. Computer-Aided Diagnosis (CAD) systems can support the radiologists’ work, by performing a double-reading process, which provides a second opinion that the physician can take into account in the detection process. This paper presents a CAD model based on computer vision procedures for locating suspicious regions that are later analyzed by artificial neural networks, support vector machines and linear discriminant analysis, to classify them into benign or malignant, based on a set of features that are extracted from lesions to characterize their visual content. A genetic algorithm is used to find the subset of features that provide the greatest discriminant power. Our results show that the SVM presented the highest overall accuracy and specificity for classifying microcalcification clusters, while the NN outperformed the rest for mass-classification in the same parameters. Overall accuracy, sensitivity and specificity were measured.展开更多
An important use of environmental indicators is oriented to know their individual impact on the whole environment quality. Nevertheless, most of the important causes of environment affectations are derived from multip...An important use of environmental indicators is oriented to know their individual impact on the whole environment quality. Nevertheless, most of the important causes of environment affectations are derived from multiple interactions between indicators which correspond more specifically to the environmental reality. The affectations derived from interactions should be analyzed and interpreted through numerical expressions representing a relevant challenge for developers of environmental indicators. To cope with the analysis and interpretation problem, we propose in this work a methodology in two senses: in a bottom-up sense a directed graph is built representing interactions between environmental indicators as behavioral relations, which exert an effect on the state of an environmental issue of a site over time (10 years);in a top-down sense to assist users in the analysis and interpretation of interactions through a computer interface that provides users with the capacity of knowing how and what relational behaviors between indicators are affecting, the most or the least, the performance of the environmental issue being studied. This methodology was applied to the analysis an interpretation of interactions between environmental variables that affect the state of an environmental quality issue related with the State of Morelos in Mexico. The results showed the adequate expressivity of a directed graph to represent interactions allowed to verify the coherence of the numerical values associated with their behaviors during a period of time and with their effects on the environmental issue under study.展开更多
Foodborne Illnesses (FI) are considered an important problem in public health for their high levels of morbidity and, in some cases, of mortality in Mexico and around the world. Different agents that cause Foodborne I...Foodborne Illnesses (FI) are considered an important problem in public health for their high levels of morbidity and, in some cases, of mortality in Mexico and around the world. Different agents that cause Foodborne Illnesses, in which biological agents such as the genus Salmonella spp., are included, have been often associated with outbreaks. A continued effort has been observed in the food industry, in collaboration with sanitary authorities on a global scale, through the creation and continued improvement of different procedures to prevent the contamination by Salmonella, in which the elaboration of laboratory methodologies for the detection and isolation of this pathogen in foods and, in such manner, prevents the outbreak of illnesses. However, along with the aforementioned, it has been reported that a few years ago, the appearance of an ever-increasing number of strains of Salmonella spp., in foods with multi-drug resistance to antibiotics which are used in the treatment of its illness, results in a major emphasis on the health issue related to Foodborne Illnesses and, in particular, to those generated by factors of medical dependence such as the increase in recuperation time, costs, and reduction in the number of alternative pharmaceutical treatments. This work presents a general overview of FI, in which illnesses generated by bacteria of the genus Salmonella spp., their detection in a microbiological laboratory, as well as the phenomenon of resistance to antibiotics by these bacteria, and the current and difficult issue reported through different investigations all around the world, of the rise in this phenomenon and its importance in public health, are discussed.展开更多
The industrial obtainment and manufacturing of food cause high levels of pollution because of the generation of waste byproducts. Over the past few years, there has been a significantly increased interest in preservin...The industrial obtainment and manufacturing of food cause high levels of pollution because of the generation of waste byproducts. Over the past few years, there has been a significantly increased interest in preserving, restoring and establishing an ecological balance during food production. Many investigators propose biotechnological solutions to the treatment of industrial wastes, especially waste from the dairy industry. The aim of this review is to present biotechnological approaches to the treatment and utilization of wastes from the dairy industry, specifically for milk whey and also discussed biotechnological methods to reduce environmental pollution and obtain chemical compounds with potential applications in the industry.展开更多
The primary goal in the analysis of hierarchical distributed monitoring and control architectures is to study the spatiotemporal patterns of the interactions between areas or subsystems.In this paper,a novel conceptua...The primary goal in the analysis of hierarchical distributed monitoring and control architectures is to study the spatiotemporal patterns of the interactions between areas or subsystems.In this paper,a novel conceptual framework for distributed monitoring of power system oscillations using multiblock principal component analysis(MB-PCA)and higher-order singular value decomposition(HOSVD)is proposed to understand,characterize,and visualize the global behavior of the power system.The proposed framework can be used to evaluate the influence of a given area or utility on the oscillatory behavior,uncover low-dimensional structures from high-dimensional data,and analyze the effects of heterogeneous data on the modal characteristics and interpretation of power system.The metrics are then investigated to examine the relationships between the dynamic patterns and participation of individual data blocks in the global behavior of the system.Practical application of these techniques is demonstrated by case studies of two systems:a 14-machine test system and a 5449-bus 635-generator equivalent model of a large power system.展开更多
The effect of IB element additions [Ag] on the corrosion behavior of AlZn alloy has been investigated. The potentiodynamic polarization curves revealed that the corrosion behavior of SSAl, SSZn and AgZn3 phases was si...The effect of IB element additions [Ag] on the corrosion behavior of AlZn alloy has been investigated. The potentiodynamic polarization curves revealed that the corrosion behavior of SSAl, SSZn and AgZn3 phases was significantly influenced by IB element content. The electrochemical investigations showed that the corrosion rate increased with the IB-element additions. Furthermore, it was also evidenced the formation of a passive layer for the highest Ag content alloys;the passivity of this layer could be broken due to the presence of the intermetallic compound (IMCs) AgZn3.展开更多
文摘Polymers constitute a series of materials that are essential for many processes such as: food transport, packaging and distribution, construction, etc. Hence, it is important to understand the variables that this process depends on. Experimental design is a powerful tool that enables the identification of variables that significantly influence a process through a matrix of experiments that a software constructs. With the aim of implementing ICTs in the learning—teaching process of polymers in a university group, the polymerization process system of PPMA (polymethylmethacrylate) is studied. The variables that affect the size of the Pearl are: temperature, reaction time and volumen of the polyvinyl alcohol aqueous phase. These variables are optimized through a Box-Behnken experimental design with three factors in three levels, achieving the construction of the response surface to optimize the process, obtaining a tridimensional equation that enables the prediction of the Pearl size through the values of the independent variables. Finally, the student acquires the competency of manipulating the variables that affect the polymerization process to optimize the process. For this reason, Design Expert is a valuable ICT tool in the learning-teaching process of polymerization systems.
文摘Breast cancer is one of the most common and deadliest types of cancer among women and early detection is of major importance to decrease mortality rates. Microcalcification clusters and masses are two major indicators of malignancy in the early stages of this disease, when mammography is typically used as the screening technology. Computer-Aided Diagnosis (CAD) systems can support the radiologists’ work, by performing a double-reading process, which provides a second opinion that the physician can take into account in the detection process. This paper presents a CAD model based on computer vision procedures for locating suspicious regions that are later analyzed by artificial neural networks, support vector machines and linear discriminant analysis, to classify them into benign or malignant, based on a set of features that are extracted from lesions to characterize their visual content. A genetic algorithm is used to find the subset of features that provide the greatest discriminant power. Our results show that the SVM presented the highest overall accuracy and specificity for classifying microcalcification clusters, while the NN outperformed the rest for mass-classification in the same parameters. Overall accuracy, sensitivity and specificity were measured.
文摘An important use of environmental indicators is oriented to know their individual impact on the whole environment quality. Nevertheless, most of the important causes of environment affectations are derived from multiple interactions between indicators which correspond more specifically to the environmental reality. The affectations derived from interactions should be analyzed and interpreted through numerical expressions representing a relevant challenge for developers of environmental indicators. To cope with the analysis and interpretation problem, we propose in this work a methodology in two senses: in a bottom-up sense a directed graph is built representing interactions between environmental indicators as behavioral relations, which exert an effect on the state of an environmental issue of a site over time (10 years);in a top-down sense to assist users in the analysis and interpretation of interactions through a computer interface that provides users with the capacity of knowing how and what relational behaviors between indicators are affecting, the most or the least, the performance of the environmental issue being studied. This methodology was applied to the analysis an interpretation of interactions between environmental variables that affect the state of an environmental quality issue related with the State of Morelos in Mexico. The results showed the adequate expressivity of a directed graph to represent interactions allowed to verify the coherence of the numerical values associated with their behaviors during a period of time and with their effects on the environmental issue under study.
文摘Foodborne Illnesses (FI) are considered an important problem in public health for their high levels of morbidity and, in some cases, of mortality in Mexico and around the world. Different agents that cause Foodborne Illnesses, in which biological agents such as the genus Salmonella spp., are included, have been often associated with outbreaks. A continued effort has been observed in the food industry, in collaboration with sanitary authorities on a global scale, through the creation and continued improvement of different procedures to prevent the contamination by Salmonella, in which the elaboration of laboratory methodologies for the detection and isolation of this pathogen in foods and, in such manner, prevents the outbreak of illnesses. However, along with the aforementioned, it has been reported that a few years ago, the appearance of an ever-increasing number of strains of Salmonella spp., in foods with multi-drug resistance to antibiotics which are used in the treatment of its illness, results in a major emphasis on the health issue related to Foodborne Illnesses and, in particular, to those generated by factors of medical dependence such as the increase in recuperation time, costs, and reduction in the number of alternative pharmaceutical treatments. This work presents a general overview of FI, in which illnesses generated by bacteria of the genus Salmonella spp., their detection in a microbiological laboratory, as well as the phenomenon of resistance to antibiotics by these bacteria, and the current and difficult issue reported through different investigations all around the world, of the rise in this phenomenon and its importance in public health, are discussed.
文摘The industrial obtainment and manufacturing of food cause high levels of pollution because of the generation of waste byproducts. Over the past few years, there has been a significantly increased interest in preserving, restoring and establishing an ecological balance during food production. Many investigators propose biotechnological solutions to the treatment of industrial wastes, especially waste from the dairy industry. The aim of this review is to present biotechnological approaches to the treatment and utilization of wastes from the dairy industry, specifically for milk whey and also discussed biotechnological methods to reduce environmental pollution and obtain chemical compounds with potential applications in the industry.
文摘The primary goal in the analysis of hierarchical distributed monitoring and control architectures is to study the spatiotemporal patterns of the interactions between areas or subsystems.In this paper,a novel conceptual framework for distributed monitoring of power system oscillations using multiblock principal component analysis(MB-PCA)and higher-order singular value decomposition(HOSVD)is proposed to understand,characterize,and visualize the global behavior of the power system.The proposed framework can be used to evaluate the influence of a given area or utility on the oscillatory behavior,uncover low-dimensional structures from high-dimensional data,and analyze the effects of heterogeneous data on the modal characteristics and interpretation of power system.The metrics are then investigated to examine the relationships between the dynamic patterns and participation of individual data blocks in the global behavior of the system.Practical application of these techniques is demonstrated by case studies of two systems:a 14-machine test system and a 5449-bus 635-generator equivalent model of a large power system.
文摘The effect of IB element additions [Ag] on the corrosion behavior of AlZn alloy has been investigated. The potentiodynamic polarization curves revealed that the corrosion behavior of SSAl, SSZn and AgZn3 phases was significantly influenced by IB element content. The electrochemical investigations showed that the corrosion rate increased with the IB-element additions. Furthermore, it was also evidenced the formation of a passive layer for the highest Ag content alloys;the passivity of this layer could be broken due to the presence of the intermetallic compound (IMCs) AgZn3.
