COLEÓPTEROS (INSECTA: COLEOPTERA) DEL BOSQUE DE NEBLINA DE CUYAS, AYABACA-REGIÓN PIURA, PERÚ

Se presenta la primera lista de coleópteros del bosque de neblina de Cuyas, Piura, Perú, la cual está conformada por 50 especies, 45 géneros y 16 familias. La familia Scarabaeidae con 19 especies obtuvo la mayor cantidad de especies, además, se cita al género Cladodes Solier (Familia Lampyridae) como nuevo registro para el Perú. Este es el primer estudio detallado del Orden Coleoptera en el bosque de neblina de Cuyas, importante área de bosque húmedo de montaña de la Región Piura en Perú

COLEÓPTEROS (INSECTA: COLEOPTERA) DEL CAMPUS DE LA UNIVERSIDAD DE PIURA, PERÚ

Se actualizó el número de especies de coleópteros del campus de la Universidad de Piura, utilizando técnicas de colecta directa (colecta manual y red entomológica) e indirecta (trampas pitfall y trampas de luz). Se registraron en total 74 especies agrupadas 68 géneros y 24 familias. Las familias Coccinellidae y Tenebrionidae obtuvieron la mayor cantidad de especies y se cita al género Airora Reitter, 1876 (Familia Trogossitidae) como nuevo registro para el Perú

PRIMER REGISTRO DE GYMNETIS STELLATA LATREILLE, 1833 (SCARABAEIDAE: CETONIINAE) PARA PERÚ

A new record for Peru is cited: Gymnetis stellata Latreille (Scarabaeidae: Cetoniinae), registered at the campus of Piura National University, an important area of dry forest of Piura Region, Peru.Se cita un nuevo registro para el Perú: Gymnetis stellata Latreille (Scarabaeidae: Cetoniinae), registrado en el campus de la Universidad Nacional de Piura, área importante de bosque seco de la Región Piura, Perú

DOS NUEVOS REGISTROS DEL GÉNERO ASTYLUS LAPORTE DE CASTELNAU, 1836 (COLEOPTERA: MELYRIDAE) PARA PERÚ

Two new records for the country are cited: Astylus lojaensis Constantin and Astylus longulus Constantin (Melyridae). Both records were found in the Cuyas cloud forest, an important area of mountain rainforest of the Piura Region.Se citan dos nuevos registros para el país: Astylus lojaensis Constantin y Astylus longulus Constantin (Melyridae). Ambas registros se hallaron en el bosque de neblina de Cuyas, importante área de bosque húmedo de montaña de la Región Piura

Valoración de la fuerza explosiva en esgrima

La fuerza explosiva es una capacidad física muy importante en la esgrima, por lo que su valoración resulta importante para el control y planificación del entrenamiento. El objetivo principal de este estudio fue valorar la fuerza explosiva general y específica en tiradores de alto nivel. Se aplicaron dos tests genéricos de fuerza explosiva (salto vertical sin contramovimiento –SJ-, y salto vertical con contramovimiento -CMJ-), y cuatro tests específicos (Fondo desde parado -F-, Fondo desde Saltos -FS-, Flecha desde parado -FL- y Flecha desde Saltos -FLS-) a 17 tiradores masculinos pertenecientes al equipo nacional español absoluto de esgrima. Se utilizaron dos plataformas de fuerza, una para cada apoyo. A partir de los datos de las fuerzas de reacción se obtuvieron las variables determinantes de la fuerza explosiva tales como el desplazamiento vertical (detente) o la velocidad horizontal de de despegue. Se observa que la batería de tests llevada a cabo proporciona, en un corto periodo de tiempo, una información de gran relevancia para el control y la planificación del entrenamiento con el objetivo de intentar optimizar el rendimiento de los deportistas. Se han encontrado diferencias significativas entre las fuerzas verticales máximas en cada apoyo en el salto vertical lo que puede estar asociado con asimetrías de la fuerza muscular.Explosive strength is one of the most important physical capacities in fencing. The evaluation of explosive strength is fundamental for the planning and control of the training program. The purpose of this study was to assess the general and specific explosive strength in 17 senior male fencers of the national Spanish team. They carried out general explosive strength tests: Squat Jump (SJ) and Counter Movement Jump (CMJ); and specific explosive strength tests: Lunge from static position (F), Lunge from bounces (FS), Flèche from static position (FL) and Flèche from bounces (FLS). From the information of the reaction forces there were obtained the determinant variables of the explosive strength, such as the vertical displacement or the takeoff horizontal speed. The results were obtained from two force platforms, one for each support. Results showed that the tests carried out provided, in a short time, relevant information to plan and control the training program in order to the improve athletes performance. Significant differences were found between the vertical maximal strength in each support in the vertical jump. These differences can be associated with asymmetries of the muscular force.Peer Reviewe

Clasificación de manzanas utilizando visión artificial y redes neuronales artificiales

The added value in a fruit can be increased with a good postharvest handling. The classification in different parameters is one of the most important operations. In small companies it is done manually, obtaining deficiencies in the quality of the product. These problems could be solved or reduced with the implementation of intelligent algorithms that in this case include artificial vision and artificial neural networks. In this project is presented the classification of apples through an intelligent algorithm, using a convolutional neural network (CNN), which is developed using Open Source libraries (OpenCV, Tensorflow and Keras) in Python with a structure of different convolutional layers and MaxPooling, for a dataset of 2,800 images of 128x128 pixels, of which 80% were used for training and 20% for test of the network, obtaining an accuracy of 98.3% and 95.36%, respectively. After the training a classification was made with a video in real time, obtaining an accuracy of 92.25%. Likewise, the possibility of using it in the industry is explored with the classification by other visual characteristics of the fruit such as size, color, shape, etc.El valor agregado en un fruto puede incrementarse con un buen manejo postcosecha. La clasificación en diferentes parámetros es de las operaciones más importantes. En las pequeñas empresas se realiza de forma manual obteniendo deficiencias en la calidad del producto. Estos problemas se podrían resolver o disminuir con la implementación de algoritmos inteligentes que en este caso incluyen visión artificial y redes neuronales artificiales. En este proyecto se presenta la clasificación de manzanas mediante un algoritmo inteligente, usando una red neuronal convolucional (CNN), la cual se desarrolla utilizando librerías de código abierto (OpenCV, Tensorflow y Keras) en Python con una estructura de diferentes capas convolucionales y MaxPooling, para un conjunto de 2,800 imágenes de 128x128 pixeles, de las cuales el 80% se utilizaron para entrenamiento y el 20% para hacer una prueba de la red, obteniendo una precisión del 98.3% y del 95.36%, respectivamente. Después del entrenamiento, se realizó una clasificación con un video en tiempo real, obteniendo una precisión del 92.25%. Asimismo, se explora la posibilidad de la utilización en la industria con la clasificación por otras características visuales del fruto como tamaño, color, forma, etc

Influence of the Synthesis Method on the Preparation Composites Derived from TiO2-LDH for Phenol Photodegradation

Three different TiO2 catalysts are prepared using different methods. MgAl-CO32− layered double hydroxides (LDH) were obtained by the sol-gel method. In the preparation of the composites, the three photocatalysts were combined with LDH following different methodologies. The composites were characterized using X-ray diffraction (XRD), specific surface area (SA), atomic force microscopy (AFM) and X-ray photoelectron spectroscopy (XPS). The influence of the synthesis method on the preparation of the composites was evaluated by analyzing their photocatalytic activity against phenol as a model organic pollutant under UV irradiation. The photocatalytic activity of the composites improves when the chemical interaction, determined by XPS, between the TiO2 and the LDH decreases. The same happens when the ratio of the anatase-rutile phases, determined by XRD, approaches optimum (80:20%). The effect of the composite concentration in the solution (0.5–2.0 g/L) was investigated, and the light-shielding phenomenon due to high composite concentration decreases the phenol photodegradation. The reduction of photocatalytic activity in reuse cycles is due to loss and partial deactivation of the material. The elimination of phenol is attributed primarily to the photocatalytic process due to the generation of ●OH radicals and to a lesser extent the adsorption process also present in the samples

PRIMER REGISTRO DE DOLICHOBOSTRYCHUS ANGUSTUS (STEINHEIL, 1872) (COLEOPTERA: BOSTRICHIDAE) PARA PERÚ

A new report for the country is cited: Dolichobostrychus angustus Steinheil (Bostrichidae) registered on the campus of the University of Piura, important area of equatorial dry forest of the Piura Region.Se cita un nuevo reporte para el país: Dolichobostrychus angustus Steinheil (Bostrichidae) registrado en el campus de la Universidad de Piura, importante área de bosque seco ecuatorial de la Región Piura

Aqueous extract of coconut shell biochar as a pre-germination treatment increases seed germination and early seedling growth in chiltepín pepper (Capsicum annuum var. glabriusculum)

Since the fruit of the Capsicum annuum L. var. glabriusculum (Dunal) Heiser and Pickergil (chiltepín pepper) has a low germination rate, we sought to determine whether using an aqueous biochar extract could improve this. Germination tests were performed out in Petri dishes, using wild chiltepín pepper seeds collected in Sonora, México, which were exposed for 24 h to aqueous extracts of coconut shell biochar (CSBA) at different doses (0.05, 0.10, 0.25, 0.50, 0.75, and 1.00%, w/v) and a control comprising deionized water. In addition to quantifying the germination rate, we determined the physical quality, viability, imbibition, electrical conductivity, seed pH, and capsaicin content. The fast green test showed an ideal physical quality (p = 0.5475), an imbibition rate > 65% (p > 0.05), and high viability 98.4% (p > 0.05). The wild chiltepín pepper seeds exposed to the CSBA0.05 and CSBA0.25 treatments increased the percentage germination rate (p < 0.001) to 80.9% and 71.7%, respectively. A higher percentage of normal seedlings resulted from CSBA0.05, CSBA0.10 and CSBA1.00 (p < 0.01), and a greater shoot length was obtained with CSBA0.05 (p < 0.01). The exposure of wild chiltepín seeds to aqueous CSBA for 24 h at low doses (CSBA0.05 and CSBA0.25) increase the germination rate, while CSBA0.05 could enhance early seedling growth

Scale dependence of the quark masses and mixings: leading order

We consider the Renormalization Group Equations (RGE) for the couplings of the Standard Model and its extensions. Using the hierarchy of the quark masses and of the Cabibbo-Kobayashi-Maskawa (CKM) matrix our argument is that a consistent approximation for the RGE should be based on the parameter $\lambda= |\hat{V}_{ud}| \approx0.22$. We consider the RGE in the approximation where we neglect all the relative terms of the order $\sim\lambda^{4}$ and higher. Within this approximation we find the exact solution of the evolution equations of the quark Yukawa couplings and of the vacuum expectation value of the Higgs field. Then we derive the evolution of the observables: quark masses, CKM matrix, Jarlskog invariant, Wolfenstein parameters of the CKM matrix and the unitarity triangle. We show that the angles of the unitarity triangle remain constant. This property may restrict the possibility of new symmetries or textures at the grand unification scale.Comment: 15 pages, 4 figures, author of one reference adde