La presente investigación se abordó teniendo como principal objetivo elaborar una propuesta de gestión de los recursos humanos para incrementar el valor público en la administración de la UNSM. La investigación es de tipo básica con un nivel de investigación descriptivo – propositivo y con un diseño no experimental de corte transversal, siendo la muestra de estudio conformada por 183 trabajadores de la UNSM, empleándose la técnica de la encuesta mediante el cuestionario de preguntas como instrumento de recolección de datos. Los resultados muestra que se elaboró una propuesta de gestión de los recursos humanos para incrementar el valor público de los administrativos de la UNSM, donde en la investigación se definieron estrategias de reconocer competencias, precisar los ascensos, características y competencias, trazar otros puestos, comunicar la necesidad, delinear el pue...

El propósito general de este estudio fue determinar la efectividad del modelo de gestión publicitaria basado en Inteligencia Artificial, para la Escuela de Posgrado de la Universidad Nacional de San Martín, con un enfoque cuantitativo, de tipo Aplicada, nivel explicativo y diseño no experimental, con una muestra de 300 profesionales, basándonos en el modelo de Ducoffe (1996), se creó un total de 14 preguntas en la escala de Likert que logra medir la variable de Modelo de gestión publicitario basado en Inteligencia Artificial, y la escala dicotómica para la variable efectividad de cada programa de estudios de la escuela de posgrado de la Universidad Nacional de San Martín. El resultado más importante es la demostración de la efectividad del modelo de gestión publicitaria sobre la efectividad de cada programa de estudios de la Escuela de Posgrado de la UNSM y se ha aceptado la ...

Este trabajo de investigación surge ante el problema observado en el bajo rendimiento académico encontrado en los últimos seis semestres académicos, donde menos del 40% de alumnos han aprobado la asignatura de “Algoritmos” (Anexo 1) en la Escuela Profesional de Ingeniería de Sistemas e Informática de la Facultad de Ingeniería de Sistemas e Informática (FISI) de la Universidad Nacional de San Martín – Tarapoto (UNSM-T). Frente a este problema el objetivo de la investigación ha sido determinar la influencia del uso de la web 2.0 mediante la aplicación de una evaluación de PreTest y Postest, en la asignatura de “Algoritmos” que se ha desarrollado en la EAPISI-FISI en el semestre académico 2014-II, para mejorar el rendimiento académico. La investigación realizada ha sido de carácter experimental, aplicando el diseño cuasi experimental con pretest y postest con dos ...

The large branches of Machine Learning represent an immense support for the detection of malicious websites, they can predict whether a URL is malicious or benign, leaving aside the cyber attacks that can generate for net-work users who are unaware of them. The objective of the research was to know the state of the art about Neural Networks and their impact for the Detection of malicious Websites in network users. For this purpose, a systematic literature review (SLR) was conducted from 2017 to 2021. The search identified 561 963 papers from different sources such as Taylor & Francis Online, IEEE Xplore, ARDI, ScienceDirect, Wiley Online Library, ACM Digital Library and Microsoft Academic. Of the papers only 82 were considered based on exclusion criteria formulated by the author. As a result of the SLR, studies focused on machine learning (ML), where it recommends the use of algorithms t...

The latex yield in Hevea brasiliensis trees is highly variable; Therefore, it is important to propagate commercial clones of this species by grafting in order to standardize or improve latex yields and therefore improve the economic income of producers in this part of the Amazon region. Objective. To evaluate the attachment and development of rubber clones propagated by grafting in the Peruvian jungle. Methodology. Nine-month-old patterns installed in the field were used. These were grafted with budding rods from the commercial clones TR-1, FX-3864, RRIM-600, IAN-873 and MDF-180. A completely randomized block design was used with five treatments and three blocks with 15 experimental units; each containing 30 repetitions. The data obtained were subjected to analysis of variance and Tukey's multiple range test (p<0.05) and the Kruskal Wallis test. Results. The best results in attachment an...

The Peruvian Amazon has been significantly affected by land use and climate change, decreasing decomposition processes, which cause a significant depletion of soil C stocks. In this study, we estimated soil organic C (SOC) mediated by different plant covers in coffee (Coffea arabica L.) plantations and secondary forests in several districts of the San Martín Region, Peru. We calculated the critical threshold, saturation point, and the organic C deficit of these Amazonian soils. The association between geography, soil physical-chemical characteristics, and SOC was estimated through principal component analysis. Across all sites of the study, SOC stock had an average value of 69.19 t ha-1, with 48.95 t ha-1 constituting inorganic C. The highest SOC stock (225.28 t ha-1) was observed under secondary forest in the Jepelacio district. The SOC stocks were positively correlated with altitude a...

Background: The Amazonian forests are increasingly threatened due to continuous changes in land use, particularly deforestation. This study aimed to quantify and analyze the vertical distribution of soil glomalin and its relationship with carbon, climate, and soil properties across three forest types of the Peruvian Amazon. A total of 18 plots were selected and sampled in forests with different vegetation cover types: deforested, disturbed, and primary forest. The vertical variation of total glomalin (TG), easily extractable glomalin (EEG), and the number of arbuscular mycorrhizal fungal (AMF) spores was estimated, as it was the relationships of these variables with soil depth, physical-chemical properties, and climate conditions. Results: The mean values for TG, EEG, and AMF showed vertical variations in the three forest cover types, with high values in disturbed forests and degraded so...

Inoculation of arbuscular mycorrhizal fungi (AMF) has important benefits, not only for plant growth but also for reducing Cd absorption in Theobroma plants. This study aimed to investigate the influence of cadmium (Cd) and arbuscular mycorrhizae (AM) on growth and chlorophyll content (CC) in Theobroma plants. This experiment had a 3 × 2 × 2 factorial design with species of Theobroma cacao and Theobroma grandiflorum, AMF inoculation (mycorrhizal control and AMF inoculation), and Cd addition (0, 1, and 3 mg kg⁻¹), arranged in a completely randomized design with three repetitions. The AMF inoculum consisted of applying 1500 units to each seedling. The results showed that the Cd content decreased in the stems with AMF treatment for T. cacao as well as in the soil, showing significant differences in both variables. However, a reduction of Cd could also be observed in T. grandiflorum stem...

Introduction: Forest carbon accumulation is crucial to mitigate ongoing climate change, as large individual trees store a substantial portion of the total carbon in biomass. In this study, large trees and carbon storage were estimated in five forests in the Peruvian Amazon. Methods: For the study, 100 plots were selected (twenty 500 m2 plots per forest site), distributed between 382 to 2086 meters above sea level. Various relationships were explored between the diameter at breast height (DBH) of the most abundant tree species and above- and below-ground carbon. The average carbon content in the tree was calculated based on 50% of the total tree volume at five sites of the Peruvian Amazon. Results: The site with most tree species (Alto Mayo Forest), had 59 tree species. The species Brosimum alicastrum, Ficus insipida, Manilkara bidentata, Inga sp., and Pourouma cecropiifolia showed an ave...