Factibilidad de preservación de la microcuenca hidrográfica rio chiquito a través de reforestación en la finca las manitas, de la vereda rio chiquito, del municipio de Aguazul-Casanare

Imágenes de la zona que se piensa reforestarLa propuesta ambiental plantea la factibilidad de realizar un proyecto de reforestación cuyo propósito sea recuperar la ronda protectora de la microcuenca Río Chiquito ubicada en la vereda Rio Chiquito, municipio de Aguazul-Casanare.Environmental proposal suggests the feasibility of a reforestation project whose purpose is to restore the protective round Rio Chiquito watershed located in the village of Rio Chiquito , Township Aguazul - Casanare

Fuzzy Control Strategy for an Anaerobic Wastewater Treatment Process

In this paper, a fuzzy control strategy (FCS) for an anaerobic wastewater treatment process is proposed in order to reject large disturbances on input substrate allowing a high methane production. This strategy is composed of: i) a state observer, which is based on a principal components analysis (PCA) and Takagi-Sugeno (TS) algorithm; it is designed to estimate variables hard to measure: biomass and substrate, ii) proportional-integral (PI) controllers based on a combination of the L/A(logarithm/antilogarithm) and fuzzy approaches; these controllers have variable gains and are designed to regulate bicarbonate in the reactor by two control actions: a base supplying (binc) and dilution rate (D) changes, iii) a TS supervisor which detects the process state, selects and applies the most adequate control action, allowing a smooth switching between open loop and closed loop. Applicability of the proposed structure in a completely stirred tank reactor (CSTR) is illustrated via simulations. The obtained results show that the process works in open loop in presence of small disturbances. For large disturbances, the supervisor allows the control actions to be applied avoiding washout; after that, the process returns to open loop operation. In general, the FCS improves the performances of the anaerobic process and is feasible for application in real processes, since the control scheme shows a good compromise between efficiency and complexity

Low-Cost Piezoelectric Sensors for Time Domain Load Monitoring of Metallic Structures During Operational and Maintenance Processes

The versatility of piezoelectric sensors in measurement techniques and their performance in applications has given rise to an increased interest in their use for structural and manufacturing component monitoring. They enable wireless and sensor network solutions to be developed in order to directly integrate the sensors into machines, fixtures and tools. Piezoelectric sensors increasingly compete with strain-gauges due to their wide operational temperature range, load and strain sensing accuracy, low power consumption and low cost. This research sets out the use of piezoelectric sensors for real-time monitoring of mechanical strength in metallic structures in the ongoing operational control of machinery components. The behaviour of aluminium and steel structures under flexural strength was studied using piezoelectric sensors. Variations in structural behaviour and geometry were measured, and the load and μstrains during operational conditions were quantified in the time domain at a specific frequency. The lead zirconium titanate (PZT) sensors were able to distinguish between material types and thicknesses. Moreover, this work covers frequency selection and optimisation from 20 Hz to 300 kHz. Significant differences in terms of optimal operating frequencies and sensitivity were found in both structures. The influence of the PZT voltage applied was assessed to reduce power consumption without signal loss, and calibration to μstrains and loads was performed.This research was funded by Basque Government, grant number KK-2019/00051-SMARTRESNAK and by the European Commission, grant number 869884- RECLAIM

Diseño de estrategias orientadas a la promoción de la salud y a las medidas de prevención y control de los riesgos laborales en el teletrabajo para el área administrativa y de producción de la empresa tecnológica Grupodot para el segundo semestre del año 2022

no aplicaGrupodot es una agencia de marketing, una compañía basada en el diseño de interacción y avanzada. Su enfoque está basado en la conceptualización y el despliegue de servicios que optimicen la relación entre las empresas y sus usuarios, respondiendo a las necesidades de cada industria con un enfoque integral. Cuenta con un equipo multidisciplinario, con los mejores profesionales en diseño, desarrollo, gestión, comunicación, análisis de datos y marketing, posicionándose como la agencia líder en data analytics y machine learning de hispanoamérica. (grupodot agencia, 2022). Basado en un estudio realizado a 100 empleados de la compañía en la modalidad remota, se diseñan estrategias en pro de mejorar la gestión de procesos en la organización orientadas a la promoción de la salud y la prevención e intervención de las condiciones de riesgo presentes en el lugar de trabajo, al implementar la modalidad de teletrabajo y su impacto en la productividad de la organización Grupodot.Grupodot is a marketing agency, a company based on advanced interaction design. its approach is based on the conceptualization and deployment of services that optimize the relationship between companies and their users, responding to the needs of each industry with a comprehensive approach. it has a multidisciplinary team, with the best professionals in design, development, management, communication, data analysis and marketing, positioning itself as the leading agency in data analytics and machine learning in latin america. (grupodot agency, 2022). Based on a study carried out on 100 company employees in the remote mode, strategies are designed to improve the management of processes in the organization aimed at promoting health and the prevention and intervention of risk conditions present in the workplace, by implementing the teleworking modality and its impact on the productivity of the grupodot organization. keywords: human talent, process management, strategic management, working conditions, organizational climate, productivity, decision making, risk

Asociatividad y cadena productiva de café en la Cooperativa de Servicios Múltiples Unión y Fe La Coipa – Cajamarca, 2020

El presente estudio tuvo como objetivo conocer si la falta de asociatividad impidió la formación de cadena productiva de café en la Cooperativa de servicios múltiples Unión y Fe La Coipa, San Ignacio – Cajamarca en el año 2020. El método utilizado tuvo un diseño descriptivo cualitativo, no experimental de diseño transversal, teniendo como población a 337 socios – productores y al personal del área administrativo de la Cooperativa, pero se tomó como muestra mediante un muestreo no probabilístico por conveniencia y de acuerdo a las variables de estudio al área administrativo, empleando como instrumento de recolección de datos una entrevista por conveniencia a través de 22 preguntas de acuerdo a las dimensiones e indicadores de cada variable. El resultado obtenido demostró que la asociatividad de productores ha permitido mejoras en la cadena productiva de la Cooperativa, puesto que han logrado mejorar sus diversos procesos (provisión, transformación y comercialización) mediante estrategias y un buen trabajo en equipo. Como conclusión la asociatividad si permite el buen desarrollo de la cadena productiva, pues no solo beneficia a los socios productores, sino también a la Cooperativa en sus diferentes procesos, logrando ofrecer un producto de alta calidad hacia el mercado exterior.The objective of this study was to determine whether the lack of associativity prevented the formation of a coffee production chain in the multiple services cooperative Unión y Fe La Coipa, San Ignacio - Cajamarca in 2020. The method used had a qualitative descriptive design, non-experimental of transversal design, having as population 337 partners - producers and the personnel of the administrative area of the Cooperative, but it was taken as a sample through a non-probabilistic sampling by convenience and according to the variables of study to the administrative area, using as an instrument of data collection an interview by convenience through 22 questions according to the dimensions and indicators of each variable. The results obtained showed that the associativity of producers has allowed improvements in the productive chain of the Cooperative, since they have been able to improve their different processes (supply, transformation and commercialization) through strategies and good teamwork. In conclusion, associativity does allow for the good development of the production chain, since it not only benefits the producer members, but also the Cooperative in its different processes, managing to offer a high-quality product to the foreign market

The Comparability of Men Who Have Sex With Men Recruited From Venue-Time-Space Sampling and Facebook: A Cohort Study

Background: Recruiting valid samples of men who have sex with men (MSM) is a key component of the US human immunodeficiency virus (HIV) surveillance and of research studies seeking to improve HIV prevention for MSM. Social media, such as Facebook, may present an opportunity to reach broad samples of MSM, but the extent to which those samples are comparable with men recruited from venue-based, time-space sampling (VBTS) is unknown. Objective: The objective of this study was to assess the comparability of MSM recruited via VBTS and Facebook. Methods: HIV-negative and HIV-positive black and white MSM were recruited from June 2010 to December 2012 using VBTS and Facebook in Atlanta, GA. We compared the self-reported venue attendance, demographic characteristics, sexual and risk behaviors, history of HIV-testing, and HIV and sexually transmitted infection (STI) prevalence between Facebook- and VTBS-recruited MSM overall and by race. Multivariate logistic and negative binomial models estimated age/race adjusted ratios. The Kaplan-Meier method was used to assess 24-month retention. Results: We recruited 803 MSM, of whom 110 (34/110, 30.9% black MSM, 76/110, 69.1% white MSM) were recruited via Facebook and 693 (420/693, 60.6% black MSM, 273/693, 39.4% white MSM) were recruited through VTBS. Facebook recruits had high rates of venue attendance in the previous month (26/34, 77% among black and 71/76, 93% among white MSM; between-race P=.01). MSM recruited on Facebook were generally older, with significant age differences among black MSM (P=.02), but not white MSM (P=.14). … See full text for complete abstract

Piezoelectric Actuators Mode of Vibration Influence on Energy Harvesting Applications

At this research, the authors have been focused on the mechanical and vibrational energy harvesting system with piezoelectric actuators. By studying the characteristics vibration modes of the piezoelectric harvester and the clamping setup configuration, a design optimization has been carried out in order to analized its influence on energy scavenging

Versatile Graphene-Based Platform for Robust Nanobiohybrid Interfaces

Technologically useful and robust graphene-based interfaces for devices require the introduction of highly selective, stable, and covalently bonded functionalities on the graphene surface, whilst essentially retaining the electronic properties of the pristine layer. This work demonstrates that highly controlled, ultrahigh vacuum covalent chemical functionalization of graphene sheets with a thiol-terminated molecule provides a robust and tunable platform for the development of hybrid nanostructures in different environments. We employ this facile strategy to covalently couple two representative systems of broad interest: metal nanoparticles, via S-metal bonds, and thiol-modified DNA aptamers, via disulfide bridges. Both systems, which have been characterized by a multi-technique approach, remain firmly anchored to the graphene surface even after several washing cycles. Atomic force microscopy images demonstrate that the conjugated aptamer retains the functionality required to recognize a target protein. This methodology opens a new route to the integration of high-quality graphene layers into diverse technological platforms, including plasmonics, optoelectronics, or biosensing. With respect to the latter, the viability of a thiol-functionalized chemical vapor deposition graphene-based solution-gated field-effect transistor array was assessed

Ranking and selection of unsupervised learning marketing segmentation

This research paper has been partially conducted during a three-months visiting period by German Sanchez-Hernandez to the Centre for Computational Intelligence (CCI).NOTICE: this is the author’s version of a work that was accepted for publication in . Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Knowledge-Based Systems, 44, pp. 20–33 http://dx.doi.org/10.1016/j.knosys.2013.01.012This paper addresses the problem of choosing the most appropriate classification from a given set of classifications of a set of patterns. This is a relevant topic on unsupervised systems and clustering analysis because different classifications can in general be obtained from the same data set. The provided methodology is based on five fuzzy criteria which are aggregated using an Ordered Weighted Averaging (OWA) operator. To this end, a novel multi-criteria decision making (MCDM) system is defined, which assesses the degree up to which each criterion is met by all classifications. The corresponding single evaluations are then proposed to be aggregated into a collective one by means of an OWA operator guided by a fuzzy linguistic quantifier, which is used to implement the concept of fuzzy majority in the selection process. This new methodology is applied to a real marketing case based on a business to business (B2B) environment to help marketing experts during the segmentation process. As a result, a segmentation containing three segments consisting of 35, 98 and 127 points of sale respectively is selected to be the most suitable to endorse marketing strategies of the firm. Finally, an analysis of the managerial implications of the proposed methodology solution is provided.This work is supported by the SENSORIAL Research Project (TIN2010-20966- C02-01, 02), funded by the Spanish Ministry of Science and Information Technology