Characterization of Coffee Production and the Level of Income of the Farmer in the Amazonas Region

Purpose: The objective of this research was to characterize coffee production and its impact on the income of farmers in the Amazonas Region.   heoretical framework: Recent literature has identified that coffee production is an agriculturally significant activity in the local economy, being the main generator of employment and family income. This activity is influenced by various factors, such as soil quality and climate change (Arzubi, 2003). However, there are still many factors that require further research regarding coffee production, in order to increase both crop productivity and the incomes of the families involved.   Design/methodology/approach: We analyzed the profile of international research on the characterization of coffee production from 2018 to 2022. The subject and authors found in journals indexed in Scielo, Scopus were identified. The research was basic with a quantitative approach and a non-experimental design of a descriptive cross-sectional type, with a sample of 126 farmers, it was carried out through the survey as an information collection instrument.   Findings: The volume of research on the characterization of coffee production and its impact on farmers' incomes has increased in recent years. However, it has been identified that only a few authors and journals have contributed to this specific topic. In the survey sample, it was found that 71% of the respondents are male producers, and 32% fall within the age range of 38 to 47 years. Furthermore, 32% of the farmers have two hectares of cultivation, with an average production of 30.6 quintals. 75% of the farmers sold their coffee to traders or intermediaries at a price of S/. 867 per quintal. Regarding associativity, it was found that 39% of the producers have an associativity degree between 0.78 and 0.88. On the other hand, 92% of the farmers use technology below 0.5, indicating a high level of associativity but low technology employed in the production process.   Research, Practical & Social implications: It is suggested to conduct more in-depth research on the level of technology and associativity among farmers in the Amazon region. This is because, despite having a high degree of associativity and low technology employed, it does not necessarily reflect in the producers incomes.   Originality/value: The information provided is original. The findings do not indicate any shortcomings in coffee agricultural activity, as it remains one of the primary activities in generating employment and income for many families

Methodology in 3D laser scanning of a farmhouse

[EN] The urgent need to improve the quality in the refurbishment of traditional buildings has led to the adoption of many innovative technologies. 3D laser scanning is a non-destructive technique used in the study of architectural heritage. It consists of producing millions of accurate 3D points with a very high point density  in a short time. For this reason, it is a valuable alternative or complementary technique for classical topographical measurements based on total station or digital photogrammetry. To get the complete 3D model, multiple shots must be taken from different directions that provide data from all sides of the building. These scans are integrated into a common reference system so that through a process of aligning the information obtained in all the stations, a complete model is achieved in a single file. This model faithfully reproduces the current volume of the building, including its deformations and collapses, and provides very precise information from which to make its geometric survey. With the aim of making a graphic survey of the farmhouse located in the UPV campus, current headquarters of the CEDAT Foundation (Service for Attention to Students with Disabilities), a 3D laser scan was carried out in March 2019. This paper describes the methodology of laser scanning, the specific step during scanning and the possibility of create 2D documentation from 3D model point clouds.This article shows what has been learned from participating in project supported by Slovak Agency for research and development APVV-17-0549 “Research of knowledge-based and virtual technologies for intelligent designing and realization of building projects with emphasis on economic effiency and sustainability”. The cooperation is also planned for project KEGA no. 059TUKE-4/2019 of Slovak Educational Agency “M-learning tool for intelligent modeling of building site parameters in a mixed reality environment” for period 2019-2021.Moreno-Puchalt, J.; Almerich-Chulia, A.; Mesarosova, A.; Ferrer Hernández, M. (2022). Methodology in 3D laser scanning of a farmhouse. En Proceedings 3rd International Conference. Business Meets Technology. Editorial Universitat Politècnica de València. 39-47. https://doi.org/10.4995/BMT2021.2021.13680394

THE EFFECTS OF DIFFERENT LEVELS OF DIETARY PROTEIN AND LIPID ON THE GROWTH OF RED SNAPPER, Lutjanus sebae

Red snapper, Lutjanus sebae is favored in mariculture activities because it has a relatively good market and price. Technology for big scale seed production of this species has been developed and is now adequate to supply seed for grow-out activities. However, the availability of artifical diets for L. sebae is still a major constraint for grow-out production. Data on optimum dietary protein and lipid requirements for this fish as a basic information in feed development is not available yet. The objective of the present study was to find out dietary protein and lipid requirements for juvenile of L. sebae. A 70-day feeding experiment was conducted in 24 fiberglass tanks, 200 L volume. Each tank was equipped with a flow-through water system. Twenty five hatchery-produced juveniles of L. sebae (43.1 g BW) were randomly selected and stocked in each tank. The fish were fed with the experimental diets twice everyday at a level of 3% of biomass for the first 4 weeks, and then 2% of biomass afterward. Twelve experimental diets were prepared in form of dry pellet containing casein and fish meal as the main protein sources. Experimental diet had 4 levels of crude protein (32%, 37%, 42%, and 47%) and each protein level consisted of 3 levels of lipid (7%, 12%, and 17%). The experiment employed factorial method with completely random design using 12 combination treatments and 2 replications for each treatment. Result of the experiment showed that there was no significant effect of dietary protein and lipid on growth, feed consumption, and feed efficiency of tested fish. Growth and feed efficiency of fish fed on diet containing 42% and 47% crude protein were significantly higher than that of fish fed on diet containing 32% and 37% crude protein. High lipid content in the diet (17%) resulted in poor growth and poor feed efficiency. This data indicates that Lutjanus sebae has limited ability to utilize dietary lipid as an energy source. Result of the present study recommends that dietary protein and lipid requirement for good growth of L. sebae should be 42% and 12%, respectively

Mining the Web for Law Related Jobs in Intellectual Property in the United States

Intellectual property law has remained the hottest practice group for over a decade; it is one of the fastest-growing and most exciting fields today. The trend was clearly recognized as early as 1995 in an article Lesley Ellen Harris. 2 As far back as 1997, according to The National Law Journal, IP has been reported to be the most highly compensated segment of the legal profession for both trial and non-trial attorneys. 3 This article examines the process of finding IP jobs on the web

Interoperability, Trust Based Information Sharing Protocol and Security: Digital Government Key Issues

Improved interoperability between public and private organizations is of key significance to make digital government newest triumphant. Digital Government interoperability, information sharing protocol and security are measured the key issue for achieving a refined stage of digital government. Flawless interoperability is essential to share the information between diverse and merely dispersed organisations in several network environments by using computer based tools. Digital government must ensure security for its information systems, including computers and networks for providing better service to the citizens. Governments around the world are increasingly revolving to information sharing and integration for solving problems in programs and policy areas. Evils of global worry such as syndrome discovery and manage, terror campaign, immigration and border control, prohibited drug trafficking, and more demand information sharing, harmonization and cooperation amid government agencies within a country and across national borders. A number of daunting challenges survive to the progress of an efficient information sharing protocol. A secure and trusted information-sharing protocol is required to enable users to interact and share information easily and perfectly across many diverse networks and databases globally.Comment: 20 page

Absolute electrical impedance tomography (aEIT) guided ventilation therapy in critical care patients: simulations and future trends

Thoracic electrical impedance tomography (EIT) is a noninvasive, radiation-free monitoring technique whose aim is to reconstruct a cross-sectional image of the internal spatial distribution of conductivity from electrical measurements made by injecting small alternating currents via an electrode array placed on the surface of the thorax. The purpose of this paper is to discuss the fundamentals of EIT and demonstrate the principles of mechanical ventilation, lung recruitment, and EIT imaging on a comprehensive physiological model, which combines a model of respiratory mechanics, a model of the human lung absolute resistivity as a function of air content, and a 2-D finite-element mesh of the thorax to simulate EIT image reconstruction during mechanical ventilation. The overall model gives a good understanding of respiratory physiology and EIT monitoring techniques in mechanically ventilated patients. The model proposed here was able to reproduce consistent images of ventilation distribution in simulated acutely injured and collapsed lung conditions. A new advisory system architecture integrating a previously developed data-driven physiological model for continuous and noninvasive predictions of blood gas parameters with the regional lung function data/information generated from absolute EIT (aEIT) is proposed for monitoring and ventilator therapy management of critical care patients

Strategic and Operational Planning As Approach for Crises Management Field Study on UNRWA

The research aims to study the role of strategic and operational planning as approach for crises management in UNRWA - Gaza Strip field- Palestine. Several descriptive analytical methods were used for this purpose and a survey as a tool for data collection. Community size was (881), and the study sample was stratified random (268). The overall findings of the current study show that strategic and operational planning is performed in UNRWA. The results of static analysis show that there are a relation between strategic and operational planning and crises management. In spite this relation existence, it need more improvement and expanding. Also there are shortcomings in the way that organization manages the crises before and after they occur. A crisis management is only practicing during the crisis. The study suggests that UNRWA must invest in more resources to enhance strategic and operational palming and improve other methods to face potential crises in the future

A Survey on Multisensor Fusion and Consensus Filtering for Sensor Networks

Multisensor fusion and consensus filtering are two fascinating subjects in the research of sensor networks. In this survey, we will cover both classic results and recent advances developed in these two topics. First, we recall some important results in the development ofmultisensor fusion technology. Particularly, we pay great attention to the fusion with unknown correlations, which ubiquitously exist in most of distributed filtering problems. Next, we give a systematic review on several widely used consensus filtering approaches. Furthermore, some latest progress on multisensor fusion and consensus filtering is also presented. Finally, conclusions are drawn and several potential future research directions are outlined.the Royal Society of the UK, the National Natural Science Foundation of China under Grants 61329301, 61374039, 61304010, 11301118, and 61573246, the Hujiang Foundation of China under Grants C14002 and D15009, the Alexander von Humboldt Foundation of Germany, and the Innovation Fund Project for Graduate Student of Shanghai under Grant JWCXSL140

ETEA: A euclidean minimum spanning tree-Based evolutionary algorithm for multiobjective optimization

© the Massachusetts Institute of TechnologyAbstract The Euclidean minimum spanning tree (EMST), widely used in a variety of domains, is a minimum spanning tree of a set of points in the space, where the edge weight between each pair of points is their Euclidean distance. Since the generation of an EMST is entirely determined by the Euclidean distance between solutions (points), the properties of EMSTs have a close relation with the distribution and position information of solutions. This paper explores the properties of EMSTs and proposes an EMST-based Evolutionary Algorithm (ETEA) to solve multiobjective optimization problems (MOPs). Unlike most EMO algorithms that focus on the Pareto dominance relation, the proposed algorithm mainly considers distance-based measures to evaluate and compare individuals during the evolutionary search. Specifically in ETEA, four strategies are introduced: 1) An EMST-based crowding distance (ETCD) is presented to estimate the density of individuals in the population; 2) A distance comparison approach incorporating ETCD is used to assign the fitness value for individuals; 3) A fitness adjustment technique is designed to avoid the partial overcrowding in environmental selection; 4) Three diversity indicators-the minimum edge, degree, and ETCD-with regard to EMSTs are applied to determine the survival of individuals in archive truncation. From a series of extensive experiments on 32 test instances with different characteristics, ETEA is found to be competitive against five state-of-the-art algorithms and its predecessor in providing a good balance among convergence, uniformity, and spread.Engineering and Physical Sciences Research Council (EPSRC) of the United Kingdom under Grant EP/K001310/1, and the National Natural Science Foundation of China under Grant 61070088