Technical Report for the Instituto Tecnológico Superior de la Región Sierra in productivity matters

Measuring and improving productivity in today's organizations is of utmost importance, since the context in which we live is very dynamic and organizations are facing accelerated changes. It requires responsiveness to adapt to the demands of the markets and to be competitive. For this reason, companies must implement philosophies that allow continuous study with a comprehensive approach using techniques for measuring productivity. Such is the case of the present research where the performance of public higher education institutions is analyzed, considering the Tecnológico Nacional de México Campus of the Sierra Region, through the promotion of a technical report, where the instrument "Integral Productivity Evaluation Technique (TIEP), which consists of ten elements that favor productivity including context variables, is developed. The implementation of this tool allows the development of an integral diagnosis that is the basis for the proposal of a productivity improvement model.

Ultrafine particle dispersion in the metropolitan area of Guadalajara, Mexico

Objectives: Dust, soil and leaf samples of Ficus benjamina were collected in the metropolitan area of Guadalajara (GMA) (Peña-García et al., 2017), allowing to identify the type of metallic particles, size, shape and spatial distribution. With the results obtained, the possible effects of metallic particles on human and plant health were discussed (Peña-García et al., 2019). Methodology: The sampling was in six municipalities of the GMA; Atomic absorption spectrophotometry analyses were carried out on leaves, which identified the presence of various elements that mostly exceeded the reference values. Through X-ray fluorescence, 23 elements were identified in soil, including Th and Ac in at least 14 sites. Using the scanning electron microscopy technique and elemental mapping analysis, coarse, fine and ultrafine metallic particles were identified in human bronchus and lung tissue, as well as fragments of cement, plastic, yeast and bacteria. The similarity between the metallic particles in the collected samples and those observed in lung tissue, warns of latent risks to the health of the GMA population. Contribution: The results obtained with the methodology used in this work allow us to glimpse the polluting potential in urban areas.

Spectroscopic and thermogravimetric studies of homogeneous materials from PU/PMMA/SiO2

Polymers of organic-inorganic origin are incompatible by nature and a proposal to solve this behavior is the formation of Interpenetrated Polymeric Networks (IPN) using coupling agents. Coupling agents make it possible to create a crosslinking between the phases present that provides better mechanical, optical and thermal properties. These materials are known as Hybrid Networks. To obtain optically transparent materials, individual networks of Polyurethane (PU), Methyl Polyacrylate (PMMA) and Silica (SiO2) were used. Binary and ternary networks were synthesized using bulk polymerization incorporating SiO2 up to 10% by weight. In this research, coupling agents such as Trimethoxysilyl Propyl Methacrylate (MSMA) and Isocyanotopropyl Triethoxy Silane (IPTS) were introduced to the ternary networks in order to reduce the phase separation that occurs in these systems. Fourier Transform Infrared Spectroscopy (FTIR) studies demonstrated the presence of functional groups of binary and ternary networks. On the other hand, the thermogravimetric tests (TGA) carried out on hybrid IPN´s with coupling agents, presented greater thermal stability and better optical properties, providing the new IPN´s with the opportunity to have promising applications.

Salivary Flow and ph in pregnant patients

Saliva is multifunctional: cleaning of the oral cavity, lubrication, preservation, repair of mucous membranes and dental hard tissues; the pH and its buffering, also participates in the elimination of bacteria, digestion and speech. The salivary composition in gestational period is altered, with variation of salivary pH and buffer capacity. Objective. To determine the levels of pH and salivary flow that prevail in pregnant patients. Methodology. Descriptive, prospective and transversal study. Sampling for convenience: pregnant patients in the 1st, 2nd and 3rd trimesters who attended the UMF. 61 to medical control of their pregnancy. Using a calibrated JENWAY 3510 Ph Meter potentiometer. Saliva samples were collected at least one hour after eating. Contribution. The salivary pH in pregnant women is lower in the first quarter than in later ones. According to Spearman's test analysis, a positive correlation is reported (r2 = 0.34), the correlation of ranges between pH and salivary volume is statistically significant even if it is weak. The salivary pH is lower in the first quarter than in the two subsequent ones, the salivary flow does not vary significantly in the first and second quarters, but it increases in the third quarter.

Spectroscopic analysis of organic materials susceptible to transformation processes

Carry out a spectroscopic study of various materials of organic origin, specifically residues from various processes, both biological and agro-industrial, in order to study their structural characteristics in their main functional groups, since their nature can determine the viability of a process of recycling to obtain new products. Some of the organic materials studied were of great importance because these materials can be susceptible to transformation through various processes such as thermochemical, biological, and biochemical transformation. Leaf samples from the Moringa plant (Moringa Oleifera), orange peels (Citrus sinensis), as well as leachate from the vermicomposting process of the Californian red worm (Eisenia foetida) were analyzed. The results obtained indicate a different composition, but in turn, show similarity in some specific bands, such as carboxylic acids, OH groups, methyl groups, as well as some aromatic groups in the case of citrus fruits. The importance of this research lies in the fact in the study of the transformation processes of these wastes, for future applications.

Magnetite coupling in a PS/PMMA block copolymer using suspension polymerization

The objective of the present article is to introduce nanoparticles of a ferromagnetic material (magnetite) to the polymer matrix. We will make some study to verify that the coupling of the nanoparticles in the material was carried out. The present work describes the self-assembly of nanocomposite in suspensión polymerization of PS/PMMA block copolymer, containing magnetite (Fe3O4) which is sonicated with the monomer mixture, with percentages of 0.25% and 0.5% in proportion of the weight of mixture. Photographs were taken with the microscope to verify the coupling of the ferromagnetic material to the polymer matrix, and to verify that couplig, we made characterization by infrared spectroscopy. Also describes the process of nanocomposite synthesis using co-precipitation method, in which ferric chloride and ferrous chloride are combined in an excess basic medium, to subsequently induce the precipitation of the material with a magnet.

Noise analysis using Tucker decomposition and PCA on spectral images

Given the improvement of Remote Sensing (RS) sensors, it has been possible to increase spatial and spectral resolution on many of them. Nevertheless, the amount of data to represent and post-process has become highly prohibitive. Therefore, the need to be able to process such huge data sets, and one of the possible ways to deal with problems is the use of compression methods, however, data loss happen if the need of data size reduction is a must. RS spectral imagery contain high quantities of redundant information along the spectral domain, thus, making possible to use compression methods effectively as for example, tensor decomposition algorithms. In Tucker decomposition (TKD), an interesting and strange phenomenon happens when spatial domain is maintained and spectral domain is reduced, as a preprocessing step of a semantic segmentation task. Under these conditions, it is possible to observe an improvement on Pixel Accuracy (PA) metric when it is compared with the same uncompressed spectral image. Therefore, this work presents a study on how noise affects the Tucker Decomposition compared with Principal Component Analysis (PCA) and its impact in semantic segmentation.

Synthesis and incorporation of ZnO/TiO2 in PMMA to study its thermal properties

The creation of films formed by the incorporation of ZnO or TiO2 in poly(methylmethacrylate) PMMA matrices was proposed in order to improve their properties as resistance to high temperatures. ZnO and TiO2 nanoparticles were synthesized by the sol-gel method, which does not require the use of surfactants and is easily scalable. In the present work, zinc oxide (ZnO) or titanium oxide (TiO2) incorporations were carried out in a polymeric matrix of Poly(methylmethacrylate) PMMA. Both oxides were characterized by Fourier transform infrared spectroscopy (FTIR), X-ray diffraction spectroscopy (XRD) and diffuse reflectance UV-Vis spectroscopy. PMMA was obtained by the suspension free radical polymerization method and PMMA composites containing ZnO or TiO2 were obtained. Polymer characterization was performed using Fourier transform infrared spectroscopy (FTIR). The composites were analyzed by thermogravimetric analysis (TGA) and its thermal resistance was found to be the best incorporation of TiO2 in 1%.

Emotion classification from EEG signals using wearable sensors: pilot test

The objective of this work is to present a procedure for the classification of basic emotions based on the analysis of EEG signals (electroencephalogram). For this case, 25 subjects were stimulated, of whom 17 were men and 9 women between 20 and 35 years of age. The stimulus to induce positive, negative and neutral emotions with a certain level of excitation (activation) was a set of video clips previously evaluated. The processed and analyzed signals belong to the gamma and beta frequency bands of the F3, F4, P7, P8, T7, T8, O1 and O2 electrodes. The characteristic variables with the best result are the entropy of each band of each electrode. The cross validation algorithms are applied and later the main component analysis algorithm. Finally, four classifier algorithms are used: classifier trees, Support- Vector-Machine (SVM), Linear-Discriminant-Analysis (LDA) and k-Nearest-Neighbors (KNN). The results confirm that by carrying out the proposed procedure, the EEG signals contain enough information to allow the recognition of basic emotions.

Influencia de la anisotropia en la formabilidad de acero inoxidable 439

This work shows the influence of the normal anisotropy (“r” value) in the deep drawing of AISI 439 ferritic stainless steel sheets. In order to do so, quantitative chemical analysis, metallographic analysis, tensile mechanical properties, and the determination of the “r” value and the “n” value were carried out in two different AISI 439 steel sheets of two different suppliers. In recent years, this ferritic stainless steel has been applied in a deep drawing process of automotive components. In this way, it must be said that one of these ferritic stainless steel sheets cracked due to exhaustion of formability during deep drawing after few steps. On the other hand, the second ferritic stainless steel sheet showed neither cracking nor other type of defects. The results of the tests, which were carried out in this work, probed that the“r” value has a strong influence on the forming behaviour of ferritic steel during deep drawing. This information is very relevant because the AISI 439 standard does not consider the planar anisotropy or the strain hardening coefficient as relevant for designation, but this type of steel is being applied in many forming operations of different components.