Control posterior de las prestaciones y cumplimiento de estándares de calidad en atenciones de salud región Ica 2021

El presente trabajo de investigación es un estudio descriptivo retrospectivo, cualitativo, de interés en salud pública, ya que se relaciona con la supervisión que realiza el Seguro Integral de Salud a las IPRESS de la región Ica durante el año 2021, donde previo envío de muestra de prestaciones de salud a revisar, primer nivel 70, II nivel 50 prestaciones, se hace una evaluación del formato único de atención (FUA), la historia clínica y el sistema de administración del seguro integral de salud (SIASIS), cuya finalidad es la verificación de la conformidad de las prestaciones que finalmente serán sujetas a contraprestación. En el presente estudio se identificó las deficiencias administrativas y asistenciales que se presentan al realizar las prestaciones de salud que finalmente puede afectar el reembolso económico del seguro integral de salud (SIS). Finalmente servirá como parámetro de identificación de deficiencias y propuestas de mejora en los servicios de salud con el fin de mejorar la calidad de atención de los pacientes de la región Ica

An efficient cloud scheduler design supporting preemptible instances

Maximizing resource utilization by performing an efficient resource provisioning is a key factor for any cloud provider: commercial actors can maximize their revenues, whereas scientific and non-commercial providers can maximize their infrastructure utilization. Traditionally, batch systems have allowed data centers to fill their resources as much as possible by using backfilling and similar techniques. However, in an IaaS cloud, where virtual machines are supposed to live indefinitely, or at least as long as the user is able to pay for them, these policies are not easily implementable. In this work we present a new scheduling algorithm for IaaS providers that is able to support preemptible instances, that can be stopped by higher priority requests without introducing large modifications in the current cloud schedulers. This scheduler enables the implementation of new cloud usage and payment models that allow more efficient usage of the resources and potential new revenue sources for commercial providers. We also study the correctness and the performace overhead of the proposed scheduler agains existing solutions

Resource provisioning in Science Clouds: Requirements and challenges

Cloud computing has permeated into the information technology industry in the last few years, and it is emerging nowadays in scientific environments. Science user communities are demanding a broad range of computing power to satisfy the needs of high-performance applications, such as local clusters, high-performance computing systems, and computing grids. Different workloads are needed from different computational models, and the cloud is already considered as a promising paradigm. The scheduling and allocation of resources is always a challenging matter in any form of computation and clouds are not an exception. Science applications have unique features that differentiate their workloads, hence, their requirements have to be taken into consideration to be fulfilled when building a Science Cloud. This paper will discuss what are the main scheduling and resource allocation challenges for any Infrastructure as a Service provider supporting scientific applications

Detection, quantification and genetic variability of Mycoplasma hyopneumoniae from apparently healthy and pneumonic swine

Mycoplasma hyopneumoniae is the causative agent of the Porcine Enzootic Pneumonia. However, this mycoplasma can be detected in healthy and symptomatic pigs, that difficults the conclusion for the etiology of this disease. In the present study we aimed to detect, quantify and do molecular analyses of M. hyopneumoniae strains in respiratory clinical samples recovered from healthy pigs and from those with pneumonia or other respiratory symptoms. The analytical sensitivity and specificity of PCR assays directed to Mollicutes detection and porcine mycoplasmas identification in clinical samples were evaluated. The identification of M. hyopneumoniae in the samples was performed using different molecular approaches, Multiplex PCR, Real Time PCR and Multilocus Variable-Number Tandem-Repeat amplification. Molecular characterization of the strains was achieved by determining and comparing the VNTR copy number directly in the samples. The highest number of samples positive to M. hyopneumoniae was identified by the multilocus VNTR amplification assay using labeled primers, followed by capillary electrophoresis. The highest concentration of M. hyopneumoniae was detected in pneumonic lungs (2, 3 * 108 genome copies /mL). The VNTR copy number analysis demonstrated that despite the high genetic variability of the M. hyopneumoniae strains, predominant strains in the swine farms could be identified by means of the VNTR copy number analysis of P97R1 and P146R3. (English)Molecular differences among Mycoplasma hyopneumoniae strains present in pneumonic lungs of swine have been largely studied. However, no comparative studies concerning the strains present in apparently healthy pigs have been carried out. This study aimed to detect, quantify and perform molecular analysis of M. hyopneumoniae strains in pig lungs with and without pneumonic lesions. The detection of M. hyopneumoniae was performed using multiplex PCR (YAMAGUTI, 2008), real-time PCR (STRAIT et al., 2008) and multiple VNTR amplification (VRANCKX et al., 2011). Molecular characterization of the strains was achieved by analysis of the VNTR copy number in P97R1, P146R3, H2R1 and H4. M. hyopneumoniae was detected in samples from healthy and pneumonic pigs and the amount of M. hyopneumoniae positive samples detected varied with the type of assay. The greater number of positive samples was identified by the multiple VNTR amplification combined with capillary electrophoresis. Using real-time PCR, 4.9*104 M. hyopneumoniae genome copies/mL was detected in apparently healthy lungs. A mean quantity of 3.9*106 M. hyopneumoniae genome copies/mL was detected in pneumonic lungs. The analysis of VNTR copy number demonstrated a high genetic variability of the M. hyopneumoniae strains present in apparently healthy and pneumonic lungs. Strains having 3 VNTR copy number in P97R1, were detected only in pneumonic lungs and strains having 40 and 43 VNTR copy number in P146R3 were detected only in apparently healthy lungs. Despite the genetic variability of M. hyopneumoniae, predominant strains in the swine farms could be identified.As diferenças moleculares entre as estirpes de Mycoplasma hyopneumoniae presentes em pulmões de suínos com pneumonia tem sido estudadas. Porém, estudos comparativos relativos as estirpes presentes nos suínos aparentemente saudáveis não foram levados a cabo. O objetivo do estudo foi a detecção, quantificação e analise molecular de M. hyopneumoniae nos pulmões suínos com e sem lesões pneumônicas. Para a detecção de M. hyopneumoniae usaramse o PCR Multiplo (YAMAGUTI, 2008), o PCR a Tempo Real (STRAIT et al., 2008) e a amplificação de múltiplo VNTR (VRANCKX et al., 2011). A caracterização molecular das estirpes foi realizada mediante a análise do número de copias de VNTR em P97R1, P146R3, H2R1 e H4. O M. hyopneumoniae foi detectado em amostras de suínos saudáveis e pneumônicos e a quantidade de M. hyopneumoniae nas amostras positivas variou com o tipo de ensaio. O maior número de amostras positivas foi identificado pela amplificação de múltiplas VNTR combinado com a eletroforese de capilares. Usando o PCR a Tempo Real, 4.9*104 copias de genoma/mL de M. hyopneumoniae foram detectadas em pulmões aparentemente saudáveis. Uma quantidade média de 3.9*106 copias de genoma/mL de M. hyopneumoniae foi detectada em pulmões pneumônicos. A análise do número de copias de VNTR demonstrou uma elevada variabilidade

Gestión de los fosfatos y del guano y su contribución a la economía nacional del Perú durante el periodo 2010 – 2019

El Perú es un país con enormes reservas de recursos naturales, como es el caso de los fosfatos y el guano, los cuales se producen en distintos contextos geográficos, ya que los fosfatos se extraen de minas en el norte del país; mientras que el guano se extrae de un conjunto de 22 islas e islotes y 11 puntas, en todo el litoral costero. El propósito de la presente investigación fue conocer la situación actual de la gestión de los fosfatos y el guano en el Perú, así como describir su contribución a la economía nacional durante el período 2010 – 2019; para lograrlo, se definieron indicadores que sustentan cada variable de estudio. Se diseñó un estudio descriptivo, con enfoque cuali-cuantitativo, por lo que se reunieron estadísticas publicadas por distintos entes como el Ministerio de Energía y Minas, el Ministerio de Desarrollo Agrario y Riego, Osinergmin, y la Superintendencia de Administración Tributaria, entre otros; los cuales se combinaron con información recopilada a través de entrevistas a profundidad con expertos en la gestión de estos recursos, conducidas con una guía de preguntas semiestructuradas. Los datos se analizaron combinando las series estadísticas con la información cualitativa, entre los resultados más relevantes destaca que la gestión de los fosfatos está a cargo del MINEM que controla las concesiones otorgadas a empresas privadas; mientras que la gestión del guano la hace Agro Rural, una entidad del Minagri. En ambos casos se extrae el máximo posible, que está limitado en el caso del fosfato por la inversión y en el caso del guano por la población de aves guaneras y la protección del ecosistema. Los fosfatos se destinan, casi en su totalidad a la exportación, mientras que el guano se distribuye a cinco segmentos, que incluye el mercado extranjero, pero dándole prioridad al pequeño agricultor peruano. El impacto directo del fosfato en la economía nacional se limita al impuesto a la renta, el Derecho de Vigencia y el canon minero; mientras que la actividad relacionada con el guano no está sujeta al pago de impuestos.Peru is a country with large natural resource reserves, as it is the case of phosphates and guano, which are produced in different geographical contexts, since phosphates are extracted from mines in the north of the country; while guano is extracted from a set of 22 islands and 11 points, mainly located in the Ica region. The purpose of this research was to know the current situation of the management of phosphates and guano in Peru, as well as to describe its contribution to national economy during the 2010 – 2019 period, to achieve this, indicators were defined that support each study variable. A descriptive study was designed, with a focus quali-quantitative, for which statistics published by different entities such as the Ministry of Energy and Mines, the Ministry of Agricultural Development and Irrigation, Osinergmin, and the Superintendence of Tax Administration, among others; which were combined with information collected through in-depth interviews with experts in the management of these resources, conducted with a guide of semi-structured questions. The data was analyzed by combining the statistical series with the qualitative information, among the most relevant results it is worth highlighting that the management of phosphates is in charge of the MINEM, which controls the concessions granted to private companies; while the management of guano is done by Agro Rural, an entity of the Minagri. In both cases, the maximum possible is extracted, which is limited in the case of phosphate by investment and in the case of guano by the population of guano birds and the protection of the ecosystem. The phosphates are almost entirely destined for export, while the guano is distributed to five segments, which includes the foreign market, but giving priority to the small Peruvian farmer. The direct impact of phosphate on the national economy is limited to income tax, the right of force and the mining canon; while the activity related to guano extraction is not subject to tax payment

Workflow-based data parallel applications on the EGEE production grid infrastructure

articleInternational audienceSetting up and deploying complex applications on a grid infrastructure is still challenging and the programming models are rapidly evolving. Efficiently exploiting grid parallelism is often not straight forward. In this paper, we report on the techniques used for deploying applications on the EGEE production grid through four experiments coming from completely different scientific areas: nuclear fusion, astrophysics and medical imaging. These applications have in common the need for manipulating huge amounts of data and all are computationally intensive. All the cases studied show that the deployment of data intensive applications require the development of more or less elaborated application-level workload management systems on top of the gLite middleware to efficiently exploit the EGEE grid resources. In particular, the adoption of high level workflow management systems eases the integration of large scale applications while exploiting grid parallelism transparently. Different approaches for scientific workflow management are discussed. The MOTEUR workflow manager strategy to efficiently deal with complex data flows is more particularly detailed. Without requiring specific application development, it leads to very significant speed-ups

Short vs. long-distance avocado supply chains: Life cycle assessment Impact associated to transport and effect of fruit origin and supply conditions chain on primary and secondary metabolites

Avocado consumption and trade are increasing worldwide, with North America and Europe being the main importing regions. Spain is the major European avocado producer (90% of the production), yet it only supplies 10% of the market. Consequently, more than 90% of the avocados consumed in Europe are imported from overseas, mainly from Chile and Peru. In this work, the Life Cycle Assessment (LCA) impact associated with the transport of two avocado supply chains (short (Spanish) and long (Chilean)) and the effect of the fruit origin and distance of both chains on primary and secondary metabolites from harvest to edible ripeness were evaluated using a gas chromatography-mass spectrometry (GC-MS) and liquid chromatography coupled to diode array detection (LC-DAD) based metabolite analysis. The LCA transport impact of the fresh supply chain from production centers in Chile (Quillota) and Spain (Malaga), and then the distribution to several cities in Europe, suggested road export from Spain to European capitals to have the lowest impact (0.14 to 0.22 kg CO2 eq/kg of avocado). When export from Chile was considered, the option of oceanic freight to European ports closer to final destinations was clearly a better option (0.21 to 0.26 kg CO2 eq/kg) than via the Algeciras port in Spain followed by road transport to final destinations in European capitals (0.34 to 0.43 kg CO2 eq/kg), although the situation could be somewhat different if the avocados are transported from the destination ports in northern Europe to long-distance capitals in other European countries. Fruit origin had a significant impact on avocado primary and secondary metabolites. The conditions of the supply chain itself (10 d in cold storage in regular conditions vs. 30 d cold storage + controlled atmosphere conditions) largely influence the fate of some metabolites that certainly affect the pool of metabolites at edible ripeness. The long-assumed hypothesis that the longer the supply chain the more negative impact on nutritional and functional compounds might not hold in this case, as long as transport conditions are adequate in terms of temperature, atmosphere conditions, and time considering distance from origin to destination.This research was funded by Fondecyt Nº 1180303 and REDBIO0001 PCI from ANID (Chile) and for the RTI2018-099139-B-C21 from Ministry of Science and Innovation (Spain)—National Research Agency (MCIN/AEI/10.13039/501100011033) and by “ERDF A way of making Europe”, of the European Union. R. Pedreschi and E. Aguayo are thankful to the grant of Fundación Séneca (Murcia, Spain) through the “Jiménez de la Espada” Program of Visiting Researchers. This research was partially supported by the grant VRIEA-PUCV Nº 039.436/2020