Criterios de los Juzgados Unipersonales y su aplicación del delito de Difamación en el Distrito Judicial del Santa, 2017

La presente investigación titulado “Criterios de los Juzgados Unipersonales y su aplicación del delito de Difamación en el Distrito Judicial del Santa, 2017”, el tiempo de investigación fue de un año. De la misma manera se tiene como objetivo general explicar los criterios de los Juzgados Unipersonales y su aplicación del delito de Difamación en el Distrito Judicial del Santa, 2017. Para la investigación se ha utilizado el enfoque cuantitativo, y corresponde a un diseño no experimental, transeccional de tipo descriptivo. Así mismo, la población del presente trabajo de investigación se encuentra conformada por los trabajadores que laboran en los Juzgados Unipersonales del Distrito Judicial del Santa, y como muestra de la aplicación se tomó a 20 trabajadores de los Juzgados Unipersonales, puesto que reúne las características necesarias para nuestro estudio; el instrumento aplicado fue el cuestionario. Los resultados nos permitieron concluir que los criterios de los Juzgados Unipersonales en cuanto a la aplicación del delito de Difamación en el Distrito Judicial de Santa, se viene aplicando un criterio de archivo por no cumplirse varios requisitos en el Código Procesal Penal, como los medios probatorios que no eran suficientes para probar el hecho imputado y la sanción penal no se ajusta a los parámetros ya determinados en la norma procesal penal; por lo que al imponerse dichas sanciones encontramos que son muy severas, puesto que no se cumplen con las formalidades, es por ello que muchos procesos son archivados por falta de interés de las partes

Gradual Wear Diagnosis of Outer-race Rolling Bearing Faults through Artificial Intelligence Methods and Stray Flux Signals

[EN] Electric motors have been widely used as fundamental elements for driving kinematic chains on mechatronic systems, which are very important components for the proper operation of several industrial applications. Although electric motors are very robust and efficient machines, they are prone to suffer from different faults. One of the most frequent causes of failure is due to a degradation on the bearings. This fault has commonly been diagnosed at advanced stages by means of vibration and current signals. Since low-amplitude fault-related signals are typically obtained, the diagnosis of faults at incipient stages turns out to be a challenging task. In this context, it is desired to develop non-invasive techniques able to diagnose bearing faults at early stages, enabling to achieve adequate maintenance actions. This paper presents a non-invasive gradual wear diagnosis method for bearing outer-race faults. The proposal relies on the application of a linear discriminant analysis (LDA) to statistical and Katz¿s fractal dimension features obtained from stray flux signals, and then an automatic classification is performed by means of a feed-forward neural network (FFNN). The results obtained demonstrates the effectiveness of the proposed method, which is validated on a kinematic chain (composed by a 0.746 KW induction motor, a belt and pulleys transmission system and an alternator as a load) under several operation conditions: healthy condition, 1 mm, 2 mm, 3 mm, 4 mm, and 5 mm hole diameter on the bearing outer race, and 60 Hz, 50 Hz, 15 Hz and 5 Hz power supply frequencies.This work was supported by the Spanish Ministerio de Ciencia Innovación y Universidades and FEDER program in the framework of the `Proyectos de I+D de Generación de Conocimiento del Programa Estatal de Generación de Conocimiento y Fortalecimiento Científico y Tecnológico del Sistema de I+D+i, Subprograma Estatal de Generación de Conocimiento¿ (ref: PGC2018-095747-B-I00), and Consejo Nacional de Ciencia y Tecnología (CONACyT) under scholarship 652815.Zamudio-Ramirez, I.; Osornio-Rios, RA.; Antonino-Daviu, JA.; Cureño-Osornio, J.; Saucedo-Dorantes, J. (2021). Gradual Wear Diagnosis of Outer-race Rolling Bearing Faults through Artificial Intelligence Methods and Stray Flux Signals. Electronics. 10(12):1-22. https://doi.org/10.3390/electronics10121486122101

The Specification and Global Reprogramming of Histone Epigenetic Marks during Gamete Formation and Early Embryo Development in C. elegans

In addition to the DNA contributed by sperm and oocytes, embryos receive parent-specific epigenetic information that can include histone variants, histone post-translational modifications (PTMs), and DNA methylation. However, a global view of how such marks are erased or retained during gamete formation and reprogrammed after fertilization is lacking. To focus on features conveyed by histones, we conducted a large-scale proteomic identification of histone variants and PTMs in sperm and mixed-stage embryo chromatin from C. elegans, a species that lacks conserved DNA methylation pathways. The fate of these histone marks was then tracked using immunostaining. Proteomic analysis found that sperm harbor ?2.4 fold lower levels of histone PTMs than embryos and revealed differences in classes of PTMs between sperm and embryos. Sperm chromatin repackaging involves the incorporation of the sperm-specific histone H2A variant HTAS-1, a widespread erasure of histone acetylation, and the retention of histone methylation at sites that mark the transcriptional history of chromatin domains during spermatogenesis. After fertilization, we show HTAS-1 and 6 histone PTM marks distinguish sperm and oocyte chromatin in the new embryo and characterize distinct paternal and maternal histone remodeling events during the oocyte-to-embryo transition. These include the exchange of histone H2A that is marked by ubiquitination, retention of HTAS-1, removal of the H2A variant HTZ-1, and differential reprogramming of histone PTMs. This work identifies novel and conserved features of paternal chromatin that are specified during spermatogenesis and processed in the embryo. Furthermore, our results show that different species, even those with diverged DNA packaging and imprinting strategies, use conserved histone modification and removal mechanisms to reprogram epigenetic information

Criterios de los Juzgados Unipersonales y su aplicación del delito de Difamación en el Distrito Judicial del Santa, 2017

La presente investigación titulado “Criterios de los Juzgados Unipersonales y su aplicación del delito de Difamación en el Distrito Judicial del Santa, 2017”, el tiempo de investigación fue de un año. De la misma manera se tiene como objetivo general explicar los criterios de los Juzgados Unipersonales y su aplicación del delito de Difamación en el Distrito Judicial del Santa, 2017. Para la investigación se ha utilizado el enfoque cuantitativo, y corresponde a un diseño no experimental, transeccional de tipo descriptivo. Así mismo, la población del presente trabajo de investigación se encuentra conformada por los trabajadores que laboran en los Juzgados Unipersonales del Distrito Judicial del Santa, y como muestra de la aplicación se tomó a 20 trabajadores de los Juzgados Unipersonales, puesto que reúne las características necesarias para nuestro estudio; el instrumento aplicado fue el cuestionario. Los resultados nos permitieron concluir que los criterios de los Juzgados Unipersonales en cuanto a la aplicación del delito de Difamación en el Distrito Judicial de Santa, se viene aplicando un criterio de archivo por no cumplirse varios requisitos en el Código Procesal Penal, como los medios probatorios que no eran suficientes para probar el hecho imputado y la sanción penal no se ajusta a los parámetros ya determinados en la norma procesal penal; por lo que al imponerse dichas sanciones encontramos que son muy severas, puesto que no se cumplen con las formalidades, es por ello que muchos procesos son archivados por falta de interés de las partes

Implementación de telefonía IP sobre VPN

ICE 191 TELEFONIA IP SOBRE VP

Condition Monitoring Method for the Detection of Fault Graduality in Outer Race Bearing Based on Vibration-Current Fusion, Statistical Features and Neural Network

[EN] Bearings are the elements that allow the rotatory movement in induction motors and the fault occurrence in these elements are due to excessive working conditions. In induction motors, elec-trical erosion remains the most common phenomenon that damages bearings, leading to incipient faults that gradually increase to irreparable damages. Thus, condition monitoring strategies ca-pable of assessing bearing fault severities are mandatory to overcome this critical issue. The contribution of this work lies in the proposal of a condition monitoring strategy that is focused on the analysis and identification of different fault severities of the outer race bearing fault in an induction motor. The proposed approach is supported by fusion information of different physical magnitudes and the use of Machine Learning and Artificial Intelligence. An important aspect of this proposal is the calculation of a hybrid-set of statistical features that are obtained to characterize vibration and stator current signals by its processing through domain analysis, i.e., time-domain and frequency-domain; also, the fusion of information of both signals by means of the Linear Discriminant Analysis is important due to the most discriminative and meaningful information is retained resulting in a high-performance condition characterization. Besides, a Neural Net-work-based classifier allows validating the effectiveness of fusion information from different physical magnitudes to face the diagnosis of multiple fault severities that appear in the bearing outer race. The method is validated under an experimental data set that includes information re-lated to a healthy condition and five different severities that appear in the outer race of bearings.This work was supported by the Spanish `Ministerio de Ciencia Innovación y Universidades and FEDER program in the framework of the `Proyectos de I+D de Generación de Conocimiento del Programa Estatal de Generación de Conocimiento y Fortalecimiento Científico y Tecnológico del Sistema de I+D+i, Subprograma Estatal de Generación de Conocimiento (ref: PGC2018-095747-B-I00), and Consejo Nacional de Ciencia y Tecnología (CONACyT) under scholarship 652815.Saucedo-Dorantes, JJ.; Zamudio-Ramirez, I.; Cureño-Osornio, J.; Osornio-Rios, RA.; Antonino-Daviu, J. (2021). Condition Monitoring Method for the Detection of Fault Graduality in Outer Race Bearing Based on Vibration-Current Fusion, Statistical Features and Neural Network. Applied Sciences. 11(17):1-20. https://doi.org/10.3390/app11178033120111

Online continuing medical education as a key link for successful noncommunicable disease self-management: the CASALUD™ Model

Héctor Gallardo-Rincón,1 Rodrigo Saucedo-Martínez,1 Ricardo Mujica-Rosales,1 Evan M Lee,2 Amy Israel,2 Braulio Torres-Beltran,3 Úrsula Quijano-González,3 Elena Rose Atkinson,3 Pablo Kuri-Morales,4 Roberto Tapia-Conyer1 1Fundación Carlos Slim, Mexico City, Mexico; 2Lilly Global Health, Eli Lilly and Company, Vernier, Switzerland; 3C230 Consultores, Mexico City, Mexico; 4Mexican Ministry of Health, Mexico City, Mexico Purpose: The purpose of this study is to evaluate how the benefits of online continuing medical education (CME) provided to health care professionals traveled along a patient “educational chain”. In this study, the educational chain begins with the influence that CME can have on the quality of health care, with subsequent influence on patient knowledge, disease self-management, and disease biomarkers. Methods: A total of 422 patients with at least one noncommunicable disease (NCD) treated in eight different Mexican public health clinics were followed over 3 years. All clinics were participants in the CASALUD Model, an NCD care model for primary care, where all clinic staff were offered CME. Data were collected through a questionnaire on health care, patient disease knowledge, and self-management behaviors; blood samples and anthropometric measurements were collected to measure patient disease biomarkers. Results: Between 2013 and 2015, the indexes measuring quality of health care, patient health knowledge, and diabetes self-management activities rose moderately but significantly (from 0.54 to 0.64, 0.80 to 0.84, and 0.62 to 0.67, respectively). Performing self-care activities – including owning and using a glucometer and belonging to a disease support group – saw the highest increase (from 0.65 to 0.75). A1C levels increased between 2013 and 2015 from 7.95 to 8.41% (63–68 mmol/mol) (P<0.001), and blood pressure decreased between 2014 and 2015 from 143.7/76.8 to 137.5/74.4 (systolic/diastolic reported in mmHg) (P<0.001). The mean levels of other disease biomarkers remained statistically unchanged, despite the improvements seen in the previous “links” of the educational chain. Conclusion: Online CME can effect certain changes in the educational chain linking quality of health care, patient knowledge, and self-management behaviors. However, in order to assure adequate NCD control, the entire health care system must be improved in tandem. Online CME programs, such as CASALUD’s, are feasible strategies for impacting changes in disease self-management at a clinic level throughout a country. Keywords: chronic disease, health education, type 2 diabetes mellitus, Mexico, continuing medical education, primary care&nbsp