Calidad educativa y autoevaluación del desempeño docente en la Institución Educativa José Antonio Encinas 1137 del distrito de Santa Anita - Lima

La presente investigación, desde una perspectiva educativa, tuvo como objetivo determinar la relación entre calidad educativa y autoevaluación del desempeño docente en la Institución Educativa José Antonio Encinas 1137 del distrito de Santa Anita, Lima. Desde un enfoque cuantitativo, método hipotético deductivo y diseño no experimental correlacional, se diseñó la estrategia investigativa la misma que optó por una población de 106 docentes en actividad en el presente año lectivo. Los instrumentos de recolección de datos se consagraron en dos cuestionarios validados y con una contabilidad de consistencia interna mediante el coeficiente Alfa de Cronbach mayor a 0,70, tanto para la variable calidad educativa, como para la autoevaluación del desempeño docente. Los resultados, después del análisis de datos, corrobora la correlación significativa entra las variables, concluyendo que la calidad educativa está asociada a las puntuaciones de la autoevaluación del desempeño docente siendo esta relación de magnitud moderada (,734**) y de tendencia positiva.This research, from an educational perspective, aimed to determine the relationship between educational quality and self-assessment of teaching performance at the José Antonio Encinas 1137 Educational Institution in the district of Santa Anita, Lima. From a quantitative approach, hypothetical deductive method and correlational non-experimental design, the research strategy was designed, which opted for a population of 106 active teachers in the current school year. The data collection instruments were established in two validated questionnaires and with internal consistency accounting through the Cronbach's Alpha coefficient greater than 0.70, both for the educational quality variable and for the self-assessment of teaching performance. The results, after data analysis, corroborate the significant correlation between the variables, concluding that the educational quality is associated with the self-assessment scores of teacher performance, this relationship being of moderate magnitude (.734**) and a positive trend.ChosicaFormación docente en evaluación y acreditación de la calidad educativaEscuela de Posgrad

Evaluación de la eficacia de tres métodos de control para tecla (Strymon basilides GEYER) en cultivo establecido de piña (Ananas comosus LINNEO) híbrido MD2.

Se evaluó la eficacia de tres métodos de control químico, biológico y etológico para Tecla (Strymon basilides G.) en un cultivo establecido de piña híbrido MD-2. El control químico fue en base al producto DIAZOL el cual se aplicó en la séptima semana después de la inducción floral, se hizo 3 aplicaciones con un intervalo de 15 días en dosis de 3 Litros/hectárea. En caso del control biológico se usó el producto DIPPEL a base de B. thurigiensis el cual se aplicó en la octava semana después de la inducción floral con un intervalo de 8 días y un total de 4 aplicaciones. Finalmente, para el control etológico se instalaron trampas de color rojo en la séptima semana después de la inducción floral y se las retiró en la semana 11 post-inducción. Para determinar la eficacia del control químico y biológico, se realizó un conteo de individuos adultos de Tecla antes y después de las aplicaciones de los productos; en caso del control etológico se hizo un conteo de los individuos muertos en las trampas cada 8 semanas; luego se empleó la fórmula de eficacia propuesta por Sun-Shepard y se comparó con un testigo. Los resultados mostraron que el control químico a base de DIAZOL obtuvo un 68% de eficacia y el beneficio más alto, siendo el mejor tratamiento. Por el contrario, el control etológico presentó un 37% de eficacia y fue el tratamiento donde hubo mayor número de individuos después de la aplicación del producto. Se concluye que el producto químico DIAZOL ofrece un mayor control sobre la Tecla en comparación con los métodos biológico y etológico. Se recomienda a los agricultores realizar un control químico para controlar (Strymon basilides) con diazinon a 3 litros/hectárea para una mejor producción.This research aimed to evaluate efficacy of three methods of chemical, biological and ethological control for Tecla (Strymon basilides G.) in an established crop of pineapple hybrid MD-2. The chemical control was based on the product DIAZOL which was applied in the seventh week after flower induction, three applications were made every 15 days in doses of 3 liters/hectare. In the case of biological control, the product DIPPEL based on B. thurigiensis was used, which was applied in the eighth week after flower induction with every eight days and a total of four applications. Finally, for ethological control, red traps were installed in the seventh week after flower induction and removed in the eleventh week post-induction. To determine the efficacy of chemical and biological control, a count of adult Thecla individuals was made before and after of applying the products. For ethological control, dead individuals were counted in the traps every 8 weeks; then the efficacy formula proposed by Sun-Shepard was used and compared with a control. The results showed that the chemical control based on DIAZOL obtained 68% efficacy and the highest benefit, therefore it was the best treatment. On the other hand, the ethological control showed 37% efficacy and it was the treatment with the highest number of individuals after the application of the product. It is concluded that the chemical product DIAZOL offers a better control of Thecla compared to the biological and ethological methods. It is recommended that farmers carry out chemical control in order to control (Strymon basilides) with diazinon at 3 liters/hectare for better production

Automatización de la operación de acabado de cantos del proceso productivo de calzado para niños. Caso: Inversiones Lucky Bear EIRL

La presente tesis busca desarrollar innovación tecnológica en una pequeña empresa de fabricación de calzados de cuero, Inversiones Lucky Bear E.I.R.L, aplicando en una de sus operaciones más artesanales, como lo es la operación de acabado de cantos de piezas del calzado, la tecnología de la automatización, para de esta manera instaurar el primer pilar en la búsqueda de la competitividad de esta empresa.Tesi

Antitumour activity of coordination polymer nanoparticles

Altres ajuts: the ICN2 is funded by the CERCA programme / Generalitat de Catalunya.Nanoscale coordination polymers (NCPs) have fascinated researchers over the last years. Their intrinsic theranostic properties of metal ions and organic ligands, the encapsulation of several drugs/biomolecules with excellent yields and the surface functionalisation, enhancing their biocompatibility and targeting, have remarkably impacted in prospective drug delivery alternatives in medicine. Moreover, the properties and characteristics of these nanoparticles (NPs) can be fine-tuned thanks to the synthetic flexibility of coordination chemistry. For all these reasons, the number of examples published has grown exponentially over the last years, embracing different disciplines such as molecular electronics, sensors or nanomedicine, among others. Specifically, significant advances in antitumoural applications are reported, one of the areas where this novel family of NPs has experienced a considerable advance. NCPs have accomplished a high sophistication degree and efficiency as theranostic nanoplatforms (i.e., drug delivery carriers and bioimaging probes) with long residence time in the bloodstream, targeting capacities and remarkable cellular internalisation. In this review, an introduction emphasizing the advantages of NPs for cancer treatment is included. Later on, the most representative examples of NCPs for antitumoural applications are described grouped into six mean representative areas: i) encapsulation approaches, ii) stimuli-responsive NCPs, iii) metal chemotherapy, iv) photodynamic therapy (PDT), v) unconventional therapeutic approaches and vi) theranostics. Particular emphasis is given to understand the encapsulation/release properties of these particles at the nanoscale and their interaction with biological environments, highlighting any limitation and challenges that these systems are facing from a clinical translation perspective and envisioning possible future trends and areas that will deserve further attention for the following years

A hybrid physics-based and data-driven framework for cellular biological systems: Application to the morphogenesis of organoids

How cells orchestrate their cellular functions remains a crucial question to unravel how they organize in different patterns. We present a framework based on artificial intelligence to advance the understanding of how cell functions are coordinated spatially and temporally in biological systems. It consists of a hybrid physics-based model that integrates both mechanical interactions and cell functions with a data-driven model that regulates the cellular decision-making process through a deep learning algorithm trained on image data metrics. To illustrate our approach, we used data from 3D cultures of murine pancreatic ductal adenocarcinoma cells (PDAC) grown in Matrigel as tumor organoids. Our approach allowed us to find the underlying principles through which cells activate different cell processes to self-organize in different patterns according to the specific microenvironmental conditions. The framework proposed here expands the tools for simulating biological systems at the cellular level, providing a novel perspective to unravel morphogenetic patterns

Automated Quantitative Analysis of a Mouse Model of Chronic Pulmonary Inflammation using Micro X-ray Computed Tomography

Micro-CT has emerged as an excellent tool for in-vivo imaging of the lungs of small laboratory animals. Several studies have shown that it can be used to assess the evolution of pulmonary lung diseases in longitudinal studies. However, most of them rely on non-automatic tools for image analysis, or are merely qualitative. In this article, we present a longitudinal, quantitative study of a mouse model of silica-induced pulmonary inflammation. To automatically assess disease progression, we have devised and validated a lung segmentation method that combines threshold-based segmentation, atlas-based segmentation and level sets. Our volume measurements, based on the automatic segmentations, point at a compensation mechanism which leads to an increase of the healthy lung volume in response to the loss of functional tissue caused by inflammation

Estudio de Prefactibilidad de la instalación de una empresa acopiadora y recicladora de material inorgánico mixto, en el municipio de Managua en el periodo del 2017-2022

Presenta estudio de prefactibilidad de la instalación de una empresa acopiadora y recicladora de material inorgánico mixto, en el municipio de Managua en el cual se realizó un estudio de mercado que permita cuantificar la demanda que absorberá el proyecto así como la definición de los procesos de recuperación, clasificación y compactación de materiales

Detecting Volunteer Cotton Plants in a Corn Field with Deep Learning on UAV Remote-Sensing Imagery

The cotton boll weevil, Anthonomus grandis Boheman is a serious pest to the U.S. cotton industry that has cost more than 16 billion USD in damages since it entered the United States from Mexico in the late 1800s. This pest has been nearly eradicated; however, southern part of Texas still faces this issue and is always prone to the pest reinfestation each year due to its sub-tropical climate where cotton plants can grow year-round. Volunteer cotton (VC) plants growing in the fields of inter-seasonal crops, like corn, can serve as hosts to these pests once they reach pin-head square stage (5-6 leaf stage) and therefore need to be detected, located, and destroyed or sprayed . In this paper, we present a study to detect VC plants in a corn field using YOLOv3 on three band aerial images collected by unmanned aircraft system (UAS). The two-fold objectives of this paper were : (i) to determine whether YOLOv3 can be used for VC detection in a corn field using RGB (red, green, and blue) aerial images collected by UAS and (ii) to investigate the behavior of YOLOv3 on images at three different scales (320 x 320, S1; 416 x 416, S2; and 512 x 512, S3 pixels) based on average precision (AP), mean average precision (mAP) and F1-score at 95% confidence level. No significant differences existed for mAP among the three scales, while a significant difference was found for AP between S1 and S3 (p = 0.04) and S2 and S3 (p = 0.02). A significant difference was also found for F1-score between S2 and S3 (p = 0.02). The lack of significant differences of mAP at all the three scales indicated that the trained YOLOv3 model can be used on a computer vision-based remotely piloted aerial application system (RPAAS) for VC detection and spray application in near real-time.Comment: 38 Page

Computer Vision for Volunteer Cotton Detection in a Corn Field with UAS Remote Sensing Imagery and Spot Spray Applications

To control boll weevil (Anthonomus grandis L.) pest re-infestation in cotton fields, the current practices of volunteer cotton (VC) (Gossypium hirsutum L.) plant detection in fields of rotation crops like corn (Zea mays L.) and sorghum (Sorghum bicolor L.) involve manual field scouting at the edges of fields. This leads to many VC plants growing in the middle of fields remain undetected that continue to grow side by side along with corn and sorghum. When they reach pinhead squaring stage (5-6 leaves), they can serve as hosts for the boll weevil pests. Therefore, it is required to detect, locate and then precisely spot-spray them with chemicals. In this paper, we present the application of YOLOv5m on radiometrically and gamma-corrected low resolution (1.2 Megapixel) multispectral imagery for detecting and locating VC plants growing in the middle of tasseling (VT) growth stage of cornfield. Our results show that VC plants can be detected with a mean average precision (mAP) of 79% and classification accuracy of 78% on images of size 1207 x 923 pixels at an average inference speed of nearly 47 frames per second (FPS) on NVIDIA Tesla P100 GPU-16GB and 0.4 FPS on NVIDIA Jetson TX2 GPU. We also demonstrate the application of a customized unmanned aircraft systems (UAS) for spot-spray applications based on the developed computer vision (CV) algorithm and how it can be used for near real-time detection and mitigation of VC plants growing in corn fields for efficient management of the boll weevil pests.Comment: 39 page