The genetic basis of inter-individual variation in recovery from traumatic brain injury.

Traumatic brain injury (TBI) is one of the leading causes of death among young people, and is increasingly prevalent in the aging population. Survivors of TBI face a spectrum of outcomes from short-term non-incapacitating injuries to long-lasting serious and deteriorating sequelae. TBI is a highly complex condition to treat; many variables can account for the observed heterogeneity in patient outcome. The limited success of neuroprotection strategies in the clinic has led to a new emphasis on neurorestorative approaches. In TBI, it is well recognized clinically that patients with similar lesions, age, and health status often display differences in recovery of function after injury. Despite this heterogeneity of outcomes in TBI, restorative treatment has remained generic. There is now a new emphasis on developing a personalized medicine approach in TBI, and this will require an improved understanding of how genetics impacts on long-term outcomes. Studies in animal model systems indicate clearly that the genetic background plays a role in determining the extent of recovery following an insult. A candidate gene approach in human studies has led to the identification of factors that can influence recovery. Here we review studies of the genetic basis for individual differences in functional recovery in the CNS in animals and man. The application of in vitro modeling with human cells and organoid cultures, along with whole-organism studies, will help to identify genes and networks that account for individual variation in recovery from brain injury, and will point the way towards the development of new therapeutic approaches

A_{LT} in the polarized Drell-Yan process at RHIC and HERA energies

We present a leading order (LO) estimate for the longitidinal-transverse spin asymmetry (A_{LT}) in the nucleon-nucleon polarized Drell-Yan process at RHIC and HERA-$\vec{N}$ energies in comparison with A_{LL} and A_{TT}. A_{LT} receives contribution from g_1, the transversity ditribution h_1, and the twist-3 distributions g_T and h_L. For the twist-3 contribution we use the bag model prediction evolved to a high energy scale by the large-N_c evolution equation. We found that A_{LT} (normalized by the asymmetry in the parton level) is much smaller than the corresponding A_{TT}. Twist-3 contribution given by the bag model also turned out to be negligible.Comment: 12 pages in Latex. 5 figures included as eps files using epsbox.sty. Minor corrections for typos and notations incorporate

Predictive Accuracy of the Nelson Equation via BodPod Compared to Commonly Used Equations to Estimate Resting Metabolic Rate in Adults

International Journal of Exercise Science 14(2): 1166-1177, 2021. Indirect calorimetry (IC) is considered the gold standard for assessing resting metabolic rate (RMR). However, many people do not have access to IC devices and use prediction equations for RMR estimation. Equations using fat free mass (FFM) as a predictor have been developed to estimate RMR, as a strong relationship exists between FFM and RMR. One such equation is the Nelson equation which is used by the BodPod (BP). Yet, there is limited evidence whether the Nelson equation is superior to other common equations to predict RMR. To examine the agreement between predicted RMR from common RMR equations and the BP, and RMR measured via IC. Data from 48 healthy volunteers who completed both the BP and IC were collected. Agreement between RMR measured by BP, common regression equations, and indirect caloriometry was evaluated using repeated measures ANOVA, Bland-Altman analysis and root mean square error (RMSE). Predicted RMR values from common equations and BP were significantly different from IC with the exception of the World Health Organization (WHO) equation. Large limits of agreement and RMSE values demonstrate a large amount of error at the individual level. Despite the use of FFM, the Nelson equation does not appear to be superior to other common RMR equations. Although the WHO equation presented the best option within our sample, all equations performed poorly at the individual level. Clinicians should be aware that prediction equations may significantly under- or overestimate RMR compared to IC and when an accurate value of RMR is required, IC is recommended

A multi-parametric analysis of Trypanosoma cruzi infection: common pathophysiologic patterns beyond extreme heterogeneity of host responses

The extreme genetic diversity of the protozoan Trypanosoma cruzi has been proposed to be associated with the clinical outcomes of the disease it provokes: Chagas disease (CD). To address this question, we analysed the similarities and differences in the CD pathophysiogenesis caused by different parasite strains. Using syngeneic mice infected acutely or chronically with 6 distant parasite strains, we integrated simultaneously 66 parameters: parasite tropism (7 parameters), organ and immune responses (local and systemic; 57 parameters), and clinical presentations of CD (2 parameters). While the parasite genetic background consistently impacts most of these parameters, they remain highly variable, as observed in patients, impeding reliable one-dimensional association with phases, strains, and damage. However, multi-dimensional statistics overcame this extreme intra-group variability for each individual parameter and revealed some pathophysiological patterns that accurately allow defining (i) the infection phase, (ii) the infecting parasite strains, and (iii) organ damage type and intensity. Our results demonstrated a greater variability of clinical outcomes and host responses to T. cruzi infection than previously thought, while our multi-parametric analysis defined common pathophysiological patterns linked to clinical outcome of CD, conserved among the genetically diverse infecting strains

A_{LT} in the Nucleon-Nucleon Polarized Drell-Yan Process

We present a leading order (LO) estimate for the longitidinal-transverse spin asymmetry (A_{LT}) in the nucleon-nucleon polarized Drell-Yan process at RHIC and HERA-$\vec{N}$ energies in comparison with A_{LL} and A_{TT}. A_{LT} receives contribution from g_1, the transversity ditribution h_1, and the twist-3 distributions g_T and h_L. For the twist-3 contribution we use the bag model prediction evolved to a high energy scale by the large-N_c evolution equation. We found that A_{LT} (normalized by the asymmetry in the parton level) is much smaller than the corresponding A_{TT}. Twist-3 contribution given by the bag model also turned out to be negligible.Comment: Talk presented at the KEK-Tanashi International Conference "Physics of Hadrons and Nuclei", Dec. 14-17, 1998, Tokyo. 4 pages in Latex. 1 figure included as eps files using epsbox.st

La inestabilidad laboral y su relación con el compromiso organizacional de los trabajadores CAS del sector público, caso Gerencia de Fiscalización y Control – Municipalidad Metropolitana de Lima, Lima 2014

La investigación tuvo como objetivo determinar la relación existente entre la inestabilidad laboral y el compromiso organizacional de los trabajadores CAS en el sector público, tomando como muestra a los trabajadores de la Gerencia de Fiscalización y Control de la Municipalidad Metropolitana de Lima en el año 2014. Para la realización de la presente investigación se usó un muestreo probabilístico - aleatorio simple, de 42 trabajadores CAS de la Gerencia de Fiscalización y control de la Municipalidad de Lima, aplicándose a todos ellos 02 cuestionarios (encuesta), cuyos resultados fueron procesados por el programa Excel y SPSS, aplicando el estadístico no paramétrico definido como coeficiente de correlación de Spearman. Después de desarrollada esta investigación se ha llegado a la conclusión de que el nivel de malestar por inestabilidad laboral no está relacionado con el grado de compromiso organizacional percibido por sus trabajadores, por lo que se concluye que no es un factor determinante para aumentar o disminuir el grado de compromiso organizacional

Manufacturing process improvement using the Kanban

This paper presents the application of the Kanban methodology and analysis of the effect that this can generate in a manufacturing of distribution transformers. By applying the proposed methodology can be improved production scheduling, with the aim of reducing the amount of product in process is not used, so that inventory is reduced. To analyze the effect of applying the Kanban methodology in the company, the simulation technique was used, for which the current process and proposed to the rules of the Kanban methodology is modeled. From these results that yield modeling, it shows that there is an improvement in production lines where kanban methodology is used.Este artículo presenta la aplicación de la metodología Kanban y el análisis del efecto que puede generar en una empresa de fabricación de transformadores de distribución. Mediante la aplicación de la metodología propuesta es posible mejorar la programación de la producción, con el objetivo de reducir la cantidad de producto en proceso que no es utilizado, de forma que se reduzca el inventario. Para analizar el efecto de aplicar la metodología Kanban en la empresa, se utilizo la técnica de simulación, para lo cual se modelizan el proceso actual y el propuesto con las reglas de dicha metodología. A partir de los resultados que arrojan dichas modelizaciones, se observa que existe un mejoramiento en las líneas de producción cuando se utiliza la metodología Kanban