Mejora de la capacidad real del picking en el sorter de un centro de distribución de consumo masivo aplicando la Metodología Dmaic Lima 2020

La presente investigación tuvo como objetivo mejorar la capacidad real del picking en el sorter de un centro de distribución aplicando la metodología DMAIC. Esta se desarrolla en el centro de distribución ubicado en el distrito de Punta Negra Lima-Perú que tiene como objetivo abastecer sus diferentes formatos de tienda, a través de sus dos tipos de operación picking manual y picking sorter, y poder cumplir la demanda de sus clientes-consumidores. En base a los problemas y causas identificados del presente estudio, se segmentó según importancia y se determinó los puntos con mayor impacto que afectan la capacidad del sistema sorter. La metodología DMAIC, ayudo a identificar diferentes causas y problemas de las variables del objeto de estudio y buscar sus posibles mejoras, a través de las 5 fases definidas: definir, medir, analizar, mejorar y controlar. Las herramientas utilizadas para el diagnóstico incluyen recopilación de datos, toma de tiempos, Pareto, DAP (diagrama de actividad del proceso), VSM (value stream mapping). Los resultados de la aplicación de la metodología fueron óptimos, lográndose mejorar el lead time en un 35% y como consecuencia de esta mejora el aumento de la capacidad del picking en el sorter en un 46% más de la capacidad actual. De esta forma se concluye que la aplicación de la metodología DMAIC permitió desarrollar propuestas de mejora continua y aumentar la capacidad del picking sorter

Extended resection for seizure control of pure motor strip focal cortical dysplasia during awake craniotomy: Illustrative case

Background: Focal cortical dysplasias (FCD) represent highly intrinsically epileptogenic lesions that require complete resection for seizure control. Resection of pure motor strip FCD can be challenging. Effective control of postoperative seizures is crucial and extending the boundaries of resection in an eloquent zone remains controversial. Observations: The authors report a 52-year-old right-handed male with refractory epilepsy. The seizure phenotype was a focal crisis with preserved awareness and a clonic motor onset of right-hemibody. Epilepsy surgery protocol demonstrated a left pure motor strip FCD and a full-awake resective procedure with motor brain mapping was performed. Further resection of surgical boundaries monitoring function along intraoperative motor tasks with no direct electrical stimulation corroborated by intraoperative-neuromonitorization was completed as the final part of the surgery. In the follow-up period of 3-years, the patient has an Engel-IB seizure-control with mild distal lower limb palsy and no gate compromise. Lessons: This report represents one of the few cases with pure motor strip FCD resection. In a scenario similar to this case, the authors consider that this variation can be useful to improve seizure control and the quality of life of these patients by extending the resection of a more extensive epileptogenic zone minimizing functional damage

Description and performance of track and primary-vertex reconstruction with the CMS tracker

A description is provided of the software algorithms developed for the CMS tracker both for reconstructing charged-particle trajectories in proton-proton interactions and for using the resulting tracks to estimate the positions of the LHC luminous region and individual primary-interaction vertices. Despite the very hostile environment at the LHC, the performance obtained with these algorithms is found to be excellent. For tbar t events under typical 2011 pileup conditions, the average track-reconstruction efficiency for promptly-produced charged particles with transverse momenta of p(T) > 0.9GeV is 94% for pseudorapidities of |η| < 0.9 and 85% for 0.9 < |η| < 2.5. The inefficiency is caused mainly by hadrons that undergo nuclear interactions in the tracker material. For isolated muons, the corresponding efficiencies are essentially 100%. For isolated muons of p(T) = 100GeV emitted at |η| < 1.4, the resolutions are approximately 2.8% in p(T), and respectively, 10μm and 30μm in the transverse and longitudinal impact parameters. The position resolution achieved for reconstructed primary vertices that correspond to interesting pp collisions is 10–12μm in each of the three spatial dimensions. The tracking and vertexing software is fast and flexible, and easily adaptable to other functions, such as fast tracking for the trigger, or dedicated tracking for electrons that takes into account bremsstrahlung

ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19

The International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC) COVID-19 dataset is one of the largest international databases of prospectively collected clinical data on people hospitalized with COVID-19. This dataset was compiled during the COVID-19 pandemic by a network of hospitals that collect data using the ISARIC-World Health Organization Clinical Characterization Protocol and data tools. The database includes data from more than 705,000 patients, collected in more than 60 countries and 1,500 centres worldwide. Patient data are available from acute hospital admissions with COVID-19 and outpatient follow-ups. The data include signs and symptoms, pre-existing comorbidities, vital signs, chronic and acute treatments, complications, dates of hospitalization and discharge, mortality, viral strains, vaccination status, and other data. Here, we present the dataset characteristics, explain its architecture and how to gain access, and provide tools to facilitate its use