A federated content distribution system to build health data synchronization services

In organizational environments, such as in hospitals, data have to be processed, preserved, and shared with other organizations in a cost-efficient manner. Moreover, organizations have to accomplish different mandatory non-functional requirements imposed by the laws, protocols, and norms of each country. In this context, this paper presents a Federated Content Distribution System to build infrastructure-agnostic health data synchronization services. In this federation, each hospital manages local and federated services based on a pub/sub model. The local services manage users and contents (i.e., medical imagery) inside the hospital, whereas federated services allow the cooperation of different hospitals sharing resources and data. Data preparation schemes were implemented to add non-functional requirements to data. Moreover, data published in the content distribution system are automatically synchronized to all users subscribed to the catalog where the content was published.This work has been partially supported by the grant “CABAHLA-CM: Convergencia Big data-Hpc: de Los sensores a las Aplicaciones” (Ref: S2018/TCS-4423) of Madrid Regional Government; the Spanish Ministry of Science and Innovation Project ” New Data Intensive Computing Methods for High-End and Edge Computing Platforms (DECIDE)”. Ref. PID2019-107858GB-I00; and by the project 41756 “Plataforma tecnológica para la gestión, aseguramiento, intercambio y preservación de grandes volúmenes de datos en salud y construcción de un repositorio nacional de servicios de análisis de datos de salud” by the FORDECYT-PRONACES

Effect of Melengestrol Acetate (Mga) on the Metabolic Profile in Heifers

AbstractFrom the analysis of 21 Cebu-Swiss heifers healthy, developing, with 235.55 ± 17.81kg of body weight (BW), 118.62 ± 3.97cm and 2.58 ± 0.35 of body condition (BC) scale of 1-5. They were divided into two groups: MGA (n = 10) and control (n = 11). For 55 days were given a constant diet (including 15 days of adaptation), based on concentrate and sorghum straw. The contribution of daily intake was 599.08g of crude protein and 12.18 Mcal. Blood samples were obtained every 5 days. The concentrations of cholesterol, triglyceride, high-density lipoprotein, low-density lipoprotein, urea, total protein and glucose were measured for spectrophotometric using the enzyme-colorimetric technique in plasma. The daily gain was balanced PV of 603.5 to 232.5 grams and height stopped from day 25. The CC did not show significant changes (P> 0.01). The mean concentration of plasma cholesterol was 107.59 ± 13.38 vs. 109.61 ± 11.72mg/dl (MGA and control, respectively) with a downward trend more pronounced from day 25. The concentration of triglycerides was 12.61 ± 6.91 vs. 16.19 ± 8.86mg/dl (MGA and control), no trend in the first 20 days and from day 25 there was an increase compared to the average of the previous days. The concentrations of HDL 63.73 ± 3.26 vs. 63.79 ± 10.27mg/dl (MGA and control) and 43.56 ± 6.24 vs. LDLc. 46.54 ± 14.89mg/dl (MGA and control) were irregular, but within normal ranges. The values of total protein were 5.70 ± 0.40 vs. 5.22 ± 0.31mg/dl (MGA and control), no trend the first 15 days and from day 20 increased in concentration compared to previous surveys. Urea levels were 14.79 ± 5.22 vs. 14.13 ± 4.8mg/dl (MGA and control) with a tendency to discharge. Glucose levels were 60.06 ± 7.62 vs. 58.24 ± 5.43mg/dl (MGA and control), with an irregular behavior in the normal range. The consumption of 0.5mg/dl of MGA for 40 days increased plasma concentrations of triglycerides and total protein, but did not affect cholesterol levels, HDL and LDL cholesterol, urea and glucose

3. Eventos hidrológicos extremos en la cuenca amazónica peruana: presente y futuro

Recientemente, severos eventos hidrológicos extremos han ocurrido en el Río Amazonas, como intensas sequías e inundaciones, las cuales han perjudicado a las principales ciudades amazónicas y a las zonas rurales. Esos eventos hacen parte de una tendencia hacia estiajes siempre más bajos. Mientras que el caudal más bajo fue observado en septiembre de 2010 (8 300m3/s) en la estación hidrométrica de Tamshiyacu, una rápida transición hacia uno de los caudales más altos fue observado en abril 2011 (45 000 m3/s). Finalmente en abril de 2012, durante el siguiente periodo de aguas altas, el Río Amazonas experimentó su caudal histórico más elevado (55 400m3/s). Los modelos climatológicos e hidrológicos permiten prever caudales futuros. Para la mitad del siglo 21 se calcula un aumento de 7% de los caudales de crecida, lo que significa extremos aún mayores que los actuales e inundaciones más amplias.La région du fleuve Amazone a récemment connu de sévères événements hydrologiques extrêmes: des inondations et des sécheresses qui ont porté préjudice tant aux villes amazoniennes qu’aux zones rurales. Ces événements s’inscrivent dans une tendance vers des étiages toujours plus prononcés. Alors que le débit le plus bas a été observé en septembre 2008 (8 300 m3/s) a la station hydrométrique de Tamshiyacu, celui-ci a été rapidement suivi d’une rapide transition vers l’un des débits les plus hauts en avril 2011 (45 000 m3/s). Finalement en avril 2012, lors de la saison suivante de hautes eaux, le fleuve Amazone a présenté un débit historique très élevé (55 400 m3/s). Les modelés climatologiques et hydrologiques permettent de prévoir les débits futurs. D’ici la moitié du 21ème siècle, on estime qu’il y aura une augmentation de 7% des débits de crue, ce qui signifie des extrêmes encore plus élevés qu’actuellement et des inondations de plus grande ampleur.The Amazon River has recently experienced severe extreme hydrological events -such as floods and droughts- that have harmed both the main Amazonian cities as rural areas. These events are part of a continuous trend towards low flow. While the lowest rate was observed in September 2008 (8,300 m3/s) at the Tamshiyacu hydrometric station, it was observed a rapid transition to one of the highest rates in April 2011 (45,000m3/s). In April 2012, during the next period of high water, the Amazon River experienced it highest flow in its history (55 400 m3/s). Climatological and hydrological models are used to predict future rates. An increase of 7% of flood flows is calculated by the middle of the 21st century, which means even greater extreme floods than the current ones and larger

On the continuous processing of health data in edge-fog-cloud computing by using micro/nanoservice composition

The edge, the fog, the cloud, and even the end-user's devices play a key role in the management of the health sensitive content/data lifecycle. However, the creation and management of solutions including multiple applications executed by multiple users in multiple environments (edge, the fog, and the cloud) to process multiple health repositories that, at the same time, fulfilling non-functional requirements (NFRs) represents a complex challenge for health care organizations. This paper presents the design, development, and implementation of an architectural model to create, on-demand, edge-fog-cloud processing structures to continuously handle big health data and, at the same time, to execute services for fulfilling NFRs. In this model, constructive and modular $blocks$ , implemented as microservices and nanoservices, are recursively interconnected to create edge-fog-cloud processing structures as ¿This work was supported in part by the Council for Science and Technology of Mexico (CONACYT) through the Basic Scientific Research under Grant 2016-01-285276, and in part by the Project CABAHLA-CM: Convergencia Big data-Hpc: de los sensores a las Aplicaciones from Madrid Regional Government under Grant S2018/TCS-4423

Can patient-led surveillance detect subsequent new primary or recurrent melanomas and reduce the need for routinely scheduled follow up? Statistical analysis plan for the MEL-SELF randomised controlled trial

The MEL-SELF trial is a randomised controlled trial of patient-led surveillance compared to clinician-led surveillance in people treated for localised cutaneous melanoma (stage 0, I, II). The primary trial aim is to determine if patient led-surveillance compared to clinician-led surveillance increases the proportion of participants who are diagnosed with a new primary or recurrent melanoma at a fast-tracked unscheduled clinic visit. The secondary outcomes include time to diagnosis of any skin cancer, psychosocial outcomes, acceptability, and resource use. Objective: The objective of this report is to outline and publish the pre-determined statistical analysis plan before the database lock and the start of analysis. Methods/design: The statistical analysis plan describes the overall analysis principles, including how participants will be included in each analysis, the presentation of the results, adjustments for covariates, the primary and secondary outcomes, and their respective analyses. In addition, we present the planned sensitivity and subgroup analyses. A separate analysis plan will be published for health economic outcomes. Results: The MEL-SELF statistical analysis plan has been designed to minimize bias in estimating effects of the intervention on primary and secondary outcomes. By pre-specifying analyses, we ensure the study's integrity and believability while enabling the reproducibility of the final analysis