Joint scheduling of communication and computation resources in multiuser wireless application offloading

We consider a system where multiple users are connected to a small cell base station enhanced with computational capabilities. Instead of doing the computation locally at the handset, the users offload the computation of full applications or pieces of code to the small cell base station. In this scenario, this paper provides a strategy to allocate the uplink, downlink, and remote computational resources. The goal is to improve the quality of experience of the users, while achieving energy savings with respect to the case in which the applications run locally at the mobile terminals. More specifically, we focus on minimizing a cost function that depends on the latencies experienced by the users and provide an algorithm to minimize the latency experienced by the worst case user, under a target energy saving constraint per user.Postprint (author’s final draft

Diseño de instrumento de investigación para la identificación de las variables en el sector formal e informal de la economía

Diseñar y elaborar un instrumento de investigación que permita facilitar la labor de análisis y creación de teoría, referenciado por el tema de la tesis doctoral del profesor Rafael Cárdenas que pretende establecer la asociatividad que pueden llegar a generarse en los sectores de la economía que presentan un alto grado de informalida

Diseño de instrumento de investigación para la identificación de las variables en el sector formal e informal de la economía

Diseñar y elaborar un instrumento de investigación que permita facilitar la labor de análisis y creación de teoría, referenciado por el tema de la tesis doctoral del profesor Rafael Cárdenas que pretende establecer la asociatividad que pueden llegar a generarse en los sectores de la economía que presentan un alto grado de informalida

Novel flow cytometry approach to identify bronchial epithelial cells from healthy human airways

Sampling various compartments within the lower airways to examine human bronchial epithelial cells (HBEC) is essential for understanding numerous lung diseases. Conventional methods to identify HBEC in bronchoalveolar lavage (BAL) and wash (BW) have throughput limitations in terms of efficiency and ensuring adequate cell numbers for quantification. Flow cytometry can provide high-throughput quantification of cell number and function in BAL and BW samples, while requiring low cell numbers. To date, a flow cytometric method to identify HBEC recovered from lower human airway samples is unavailable. In this study we present a flow cytometric method identifying HBEC as CD45 negative, EpCAM/pan-cytokeratin (pan-CK) double-positive population after excluding debris, doublets and dead cells from the analysis. For validation, the HBEC panel was applied to primary HBEC resulting in 98.6% of live cells. In healthy volunteers, HBEC recovered from BAL (2.3% of live cells), BW (32.5%) and bronchial brushing samples (88.9%) correlated significantly (p = 0.0001) with the manual microscopy counts with an overall Pearson correlation of 0.96 across the three sample types. We therefore have developed, validated, and applied a flow cytometric method that will be useful to interrogate the role of the respiratory epithelium in multiple lung diseases

Modelo matemático del crecimiento microbiológico en carne equina refrigerada: su importancia en la calidad de la carne

Horsemeat is an important economic resource for our country, as Argentina is considered one of the leading world exporters of horsemeat. But there is little research about the quality of it. It was examined the effect of: (i) storage temperature (0, 4˚C) and (ii) gaseous permeability of the packaging film (polyethylene and EVA SARAN EVA for vacuum packaging) on the growth of bacteria (Total Aerobic Mesophilic Heterotrophic Bacteria, Enterobacteriaceae and Pseudomonas sp.) isolated from horse muscle. Microbial growth was modelled using Gompertz or the Linear Regression Models. The lowest final bacteria counts were obtained with the combination of 0˚C and vacuum packaging. At higher temperatures, 4˚C, there were no significant differences (p<0.05) among the final counts in relation to both films. The lowest values of μ (microbial growth rate) for the development of studied microorganisms were observed in samples stored in EVA SARAN EVA.La carne equina es un importante recurso económico para nuestro país, ya que Argentina es considerado uno de los principales exportadores mundiales de estas carnes. Pero existen pocos datos sobre la calidad de la misma. El efecto de: (i) la temperatura de almacenamiento (0, 4ºC) y (ii) la permeabilidad gaseosa de la película de envase (polietileno y EVA EVA SARAN para envasado al vacío) sobre el desarrollo de microorganismos (Aerobios mesófilos heterótrofos totales, Enterobacteriaceae y Pseudomonassp.) aislados de músculo equino, fue examinado. El desarrollo microbiano se modeló usando el modelo de Gompertz o de regresión lineal. Los recuentos finales bacterianos más bajos fueron los obtenidos con la combinación de 0˚C y envasado al vacío. A temperaturas más altas, 4ºC, no se encontraron diferencias significativas (p &lt; 0.05) entre los recuentos finales en función de las películas de envase. Los menores valores de μ (tasa de crecimiento microbiano) para el desarrollo de los microorganismos estudiados fueron observados en las muestras almacenadas en EVA SARAN EVA.Facultad de Ciencias Veterinaria

ICF-Based Disability Survey in a Rural Population of Adults and Older Adults Living in Cinco Villas, Northeastern Spain: Design, Methods and Population Characteristics

Background: This article describes the methods of a door-to-door screening survey exploring the distribution of disability and its major determinants in northeastern Spain. This study will set the basis for the development of disability-related services for the rural elderly in northeastern Spain. Methods: The probabilistic sample was composed of 1,354 de facto residents from a population of 12,784 Social Security card holders (age: 6 50 years). Cognitive and disability screenings were conducted (period: June 2008-June 2009). Screening instruments were the MMSE and the World Health Organization Disability Assessment Schedule. Participants screened positive for disability underwent an assessment protocol focusing on primary care diagnoses, disability, lifestyle, and social and health service usage. Participants screened positive for cognitive functioning went through in-depth neurological evaluation. Results: The study sample is described. Usable data were available for 1,216 participants. A total of 625 individuals (51.4%) scored within the positive range in the disability screening, while 135 (11.1%) scored within the positive range of the cognitive screening. The proportion of positively screened individuals was higher for women and increased with age. Conclusions: Screening surveys represent a feasible design for examining the distribution of disability and its determinants among the elderly. Data quality may benefit from methodological developments tailored to rural populations with a low education level. Copyright (C) 2010 S. Karger AG, Base

Predicting sepsis severity at first clinical presentation:The role of endotypes and mechanistic signatures

BACKGROUND: Inter-individual variability during sepsis limits appropriate triage of patients. Identifying, at first clinical presentation, gene expression signatures that predict subsequent severity will allow clinicians to identify the most at-risk groups of patients and enable appropriate antibiotic use. METHODS: Blood RNA-Seq and clinical data were collected from 348 patients in four emergency rooms (ER) and one intensive-care-unit (ICU), and 44 healthy controls. Gene expression profiles were analyzed using machine learning and data mining to identify clinically relevant gene signatures reflecting disease severity, organ dysfunction, mortality, and specific endotypes/mechanisms. FINDINGS: Gene expression signatures were obtained that predicted severity/organ dysfunction and mortality in both ER and ICU patients with accuracy/AUC of 77–80%. Network analysis revealed these signatures formed a coherent biological program, with specific but overlapping mechanisms/pathways. Given the heterogeneity of sepsis, we asked if patients could be assorted into discrete groups with distinct mechanisms (endotypes) and varying severity. Patients with early sepsis could be stratified into five distinct and novel mechanistic endotypes, named Neutrophilic-Suppressive/NPS, Inflammatory/INF, Innate-Host-Defense/IHD, Interferon/IFN, and Adaptive/ADA, each based on ∼200 unique gene expression differences, and distinct pathways/mechanisms (e.g., IL6/STAT3 in NPS). Endotypes had varying overall severity with two severe (NPS/INF) and one relatively benign (ADA) groupings, consistent with reanalysis of previous endotype studies. A 40 gene-classification tool (accuracy=96%) and several gene-pairs (accuracy=89–97%) accurately predicted endotype status in both ER and ICU validation cohorts. INTERPRETATION: The severity and endotype signatures indicate that distinct immune signatures precede the onset of severe sepsis and lethality, providing a method to triage early sepsis patients