BUYER-SUPPLIER RELATIONSHIPS INFLUENCE ON TRACEABILITY IMPLEMENTATION IN THE VEGETABLE INDUSTRY

The increasing importance of food safety has made traceability a crucial issue in the agri-business industry. In this article, we have analysed the factors that shape the buyer-supplier relationships, and how they influence the traceability of raw materials. In order to do so, first, we have made a literature review to develop an analytical framework. Next, we have carried out four case studies on vegetable firms with the purpose of uncovering the variables that characterise buyer-supplier relationships, and its influence on traceability in this sector. Finally, we have compared the observed links with the conceptual framework derived from the literature in order to build and improved model.

La migración de retorno desde estados unidos hacia el Estado de México: oportunidades y retos

En este artículo se analiza la migración de retorno en el Estado de México, desde la perspectiva personal y del hogar. Se utiliza, para tal efecto, la base de datos de la Encuesta sobre Migración de Mexiquenses a Estados Unidos (EMMEU, 2009), que captó, entre otros aspectos de la migración, cuántos y qué tipos de migrantes se encuentran de regreso en la entidad, así como las habilidades que traen consigo, la forma en que las utilizan y las limitaciones actuales que enfrentan para desplegarlas en su totalidad. Esto permitió detectar que los migrantes de retorno traen consigo una nueva mentalidad socioeconómica y familiar que se manifiesta en sus prácticas cotidianas, como un mayor impulso a la educación de sus hijos y su salud, capitalización de pequeños negocios, cambios de empleo del campo a las actividades terciarias. A partir de ello, es necesario potenciar el uso de estas habilidades socioproductivas por la vía de los programas públicos de apoyos concretos, según las necesidades de los retornados en sus familias y comunidades

Application of Deadlock Risk Evaluation of Architectural Models

Software architectural evaluation is a key discipline used to identify, at early stages of a real-time system (RTS) development, the problems that may arise during its operation. Typical mechanisms supporting concurrency, such as semaphores, mutexes or monitors, usually lead to concurrency problems in execution time that are difficult to be identified, reproduced and solved. For this reason, it is crucial to understand the root causes of these problems and to provide support to identify and mitigate them at early stages of the system lifecycle. This paper aims to present the results of a research work oriented to the development of the tool called ‘Deadlock Risk Evaluation of Architectural Models’ (DREAM) to assess deadlock risk in architectural models of an RTS. A particular architectural style, Pipelines of Processes in Object-Oriented Architectures–UML (PPOOA) was used to represent platform-independent models of an RTS architecture supported by the PPOOA –Visio tool. We validated the technique presented here by using several case studies related to RTS development and comparing our results with those from other deadlock detection approaches, supported by different tools. Here we present two of these case studies, one related to avionics and the other to planetary exploration robotics. Copyright © 2011 John Wiley & Sons, Ltd

ASOCIACION DEL INDICE NEUTROFILO-LINFOCITO Y MORTALIDAD EN PACIENTES CON ENFERMEDAD RENAL CRONICA EN HEMODIALISIS DEL HOSPITAL GENERAL DE ECATEPEC DR JOSE MA RODRIGUEZ

ANTECEDENTES: La enfermedad renal crónica (ERC) es un proceso multifactorial de carácter progresivo e irreversible que frecuentemente conduce a un estado terminal, aumentando la mortalidad cardiovascular, es por ello que se han buscado diversos marcadores de inflamación (Il-6,IL-10, PCR, FNT-) siendo el índice neutrófilo-linfocito (INL) un marcador de estudio de fácil acceso y bajo costo. MATERIAL Y METODOS: se realizó un estudio descriptivo, retrospectivo, transversal, no controlado de 55 pacientes con tratamiento sustitutivo en hemodiálisis a los cuales se les tomó química sanguínea y citometría hemática realizandose cálculo de índice neutrófilo linfocito comparado con otros marcadores. RESULTADOS: las comorbilidades mayormente asociadas fueron diabetes, hipertensión y tabaquismo, se realizo el cálculo del INL, encontrandose una media de 3.4 (p=0.092) para pacientes sobrevivientes y 3.69 para pacientes que fallecieron;la albúmina (p=0.004) con significancia estadistica.CONCLUSIONES: dado que el INL no mostro significancia estadística, siendo el único marcador la albumina que se puede relacionar como predictor de inflamación y asociación con mortalida

Few-Shot Symbol Classification via Self-Supervised Learning and Nearest Neighbor

The recognition of symbols within document images is one of the most relevant steps involved in the Document Analysis field. While current state-of-the-art methods based on Deep Learning are capable of adequately performing this task, they generally require a vast amount of data that has to be manually labeled. In this paper, we propose a self-supervised learning-based method that addresses this task by training a neural-based feature extractor with a set of unlabeled documents and performs the recognition task considering just a few reference samples. Experiments on different corpora comprising music, text, and symbol documents report that the proposal is capable of adequately tackling the task with high accuracy rates of up to 95% in few-shot settings. Moreover, results show that the presented strategy outperforms the base supervised learning approaches trained with the same amount of data that, in some cases, even fail to converge. This approach, hence, stands as a lightweight alternative to deal with symbol classification with few annotated data.This paper is part of the project I+D+i PID2020-118447RA-I00 (MultiScore), funded by MCIN/AEI/10.13039/501100011033. The first author is supported by grant FPU19/04957 from the Spanish Ministerio de Universidades. The second and third authors are respectively supported by grants ACIF/2021/356 and APOSTD/2020/256 from “Programa I+D+i de la Generalitat Valenciana”

Remesas internacionales y pobreza: estudios de caso en Michoacán y Oaxaca

es un articulo de varias investigaciones dirigidas por el primer autorEste trabajo analiza cómo las remesas internacionales, ayudan a los hogares a paliar su pobreza. Se toman como referencia, dos localidades indígenas de Oaxaca y una urbana en Michoacán, en éstas se realizaron entrevistas a jefes de hogar para indagar sobre la migración, las remesas, el modo de vida y los ingresos que generan en sus actividades cotidianas. El ingreso se compara con el costo de la canasta alimenticia y de bienestar, para establecer cuáles bienes y servicios pueden adquirir los hogares y como esto mejora al tener remesas. Los resultados exhiben que las remesas son un complemento sustancial para que más hogares puedan comprar alimentos, y más de ellos pueden comprar la canasta de bienestar. Con la primera se vive mejor, aunque sea mientras tienen remesas, en la segunda ya se acumulan activos y capacidades de largo plazoConacy

Constructing virtual 5-dimensional tori out of lower-dimensional network cards

[EN] In the Top500 and Graph500 lists of the last years, some of the most powerful systems implement a torus topology to interconnect themillions of computing nodes they include. Some of these torus networks are of five or six dimensions, which implies an additional difficulty as the node degree increases. In previous works, we proposed and evaluated the nD Twin (nDT) torus topology to virtually increase the dimensions a torus is able to implement. We showed that this new topology reduces the distances between nodes, increasing, therefore, global network performance. In this work, we present how to build a 5DT torus network using a specific commercial 6-port network card (EXTOLL card) to interconnect those nodes. We show, using the same number of cards, that the performance of the 5DT torus network we are able to implement using our proposal is higher than the performance of the 3D torus network for the same number of compute nodes.Spanish MINECO; European Commission, Grant/Award Number: TIN2015-66972-C5-1-R and TIN2015-66972-C5-2-R; JCCM, Grant/Award Number: PEII-2014-028-P; Spanish MICINN, Grant/Award Number: FJCI-2015-26080Andújar-Muñoz, FJ.; Villar, JA.; Sanchez Garcia, JL.; Alfaro Cortes, FJ.; Duato Marín, JF.; Fröning, H. (2017). Constructing virtual 5-dimensional tori out of lower-dimensional network cards. Concurrency and Computation Practice and Experience. 1-17. https://doi.org/10.1002/cpe.4361S11

Analysis Of Hotel Internet Booking Users

The number of tourist products sold on the Internet has increased remarkably in recent years. The hotel industry has figured prominently in this boom due to hotel bookings made via the Internet becoming increasingly popular. The reason for this upturn in online bookings is, in many cases, the possibility of booking at any time and the possible existence of lower prices. In order to achieve these lower prices, consumers must accept certain restrictions or conditions that hotels use to manage demand through yield management strategies.This paper analyses hotel Internet booking users in order to ascertain their socio-demographic characteristics and behaviour in regard to online purchase decisions. The ultimate goal is therefore to determine a user profile. With this information, hotel managers will be able to manage Internet hotel bookings

Decoupling music notation to improve end-to-end Optical Music Recognition

Inspired by the Text Recognition field, end-to-end schemes based on Convolutional Recurrent Neural Networks (CRNN) trained with the Connectionist Temporal Classification (CTC) loss function are considered one of the current state-of-the-art techniques for staff-level Optical Music Recognition (OMR). Unlike text symbols, music-notation elements may be defined as a combination of (i) a shape primitive located in (ii) a certain position in a staff. However, this double nature is generally neglected in the learning process, as each combination is treated as a single token. In this work, we study whether exploiting such particularity of music notation actually benefits the recognition performance and, if so, which approach is the most appropriate. For that, we thoroughly review existing specific approaches that explore this premise and propose different combinations of them. Furthermore, considering the limitations observed in such approaches, a novel decoding strategy specifically designed for OMR is proposed. The results obtained with four different corpora of historical manuscripts show the relevance of leveraging this double nature of music notation since it outperforms the standard approaches where it is ignored. In addition, the proposed decoding leads to significant reductions in the error rates with respect to the other cases.This paper is part of the project I+D+i PID2020-118447RA-I00 (MultiScore), funded by MCIN/AEI/10.13039/501100011033. The first author is supported by grant FPU19/04957 from the Spanish Ministerio de Universidades. The second author is supported by grant ACIF/2021/356 from “Programa I+D+i de la Generalitat Valenciana“. The third author is supported by grant APOSTD/2020/256 from “Programa I+D+i de la Generalitat Valenciana”

Social, economic, and health impact of the respiratory syncytial virus: a systematic search

BACKGROUND: Bronchiolitis caused by the respiratory syncytial virus (RSV) and its related complications are common in infants born prematurely, with severe congenital heart disease, or bronchopulmonary dysplasia, as well as in immunosuppressed infants. There is a rich literature on the different aspects of RSV infection with a focus, for the most part, on specific risk populations. However, there is a need for a systematic global analysis of the impact of RSV infection in terms of use of resources and health impact on both children and adults. With this aim, we performed a systematic search of scientific evidence on the social, economic, and health impact of RSV infection. METHODS: A systematic search of the following databases was performed: MEDLINE, EMBASE, Spanish Medical Index, MEDES-MEDicina in Spanish, Cochrane Plus Library, and Google without time limits. We selected 421 abstracts based on the 6,598 articles identified. From these abstracts, 4 RSV experts selected the most relevant articles. They selected 65 articles. After reading the full articles, 23 of their references were also selected. Finally, one more article found through a literature information alert system was included. RESULTS: The information collected was summarized and organized into the following topics: 1. Impact on health (infections and respiratory complications, mid- to long-term lung function decline, recurrent wheezing, asthma, other complications such as otitis and rhino-conjunctivitis, and mortality; 2. Impact on resources (visits to primary care and specialists offices, emergency room visits, hospital admissions, ICU admissions, diagnostic tests, and treatments); 3. Impact on costs (direct and indirect costs); 4. Impact on quality of life; and 5. Strategies to reduce the impact (interventions on social and hygienic factors and prophylactic treatments). CONCLUSIONS: We concluded that 1. The health impact of RSV infection is relevant and goes beyond the acute episode phase; 2. The health impact of RSV infection on children is much better documented than the impact on adults; 3. Further research is needed on mid- and long-term impact of RSV infection on the adult population, especially those at high-risk; 4. There is a need for interventions aimed at reducing the impact of RSV infection by targeting health education, information, and prophylaxis in high-risk populations.The project was funded by an unrestricted grant from AbbVie.S