Gestión administrativa y calidad de servicio según los usuarios de la Municipalidad Distrital De Puente Piedra 2014

La presente investigación tuvo como objetivo determinar la relación entre la Gestión Administrativa y Calidad de Servicio según los usuarios de la Municipalidad Distrital de Puente Piedra. Este estudio responde a la necesidad de conocer la consistencia del nivel de servicio en el marco de la reestructuración de la gestión administrativa en el ámbito de la gestión pública del Perú. La investigación realizada fue un enfoque cualitativo, de tipo básica, de nivel correlacional, con un diseño no experimental, de corte transversal. La población estuvo conformada por 154 806 personas consideradas en la población económica mente activa (PEA) de rango de edad entre 15 a 65 años del Distrito de Puente Piedra la muestra fue no probabilística resultando 384 usuarios, como técnica de recopilación de datos: una encuesta, que hizo uso como instrumento un cuestionario, para obtener información respecto a la percepción de la gestión administrativa y otro para medir la calidad de servicio. Los instrumentos de recolección de datos fueron validados por medio del juicio de expertos con un resultado por unanimidad de aplicabilidad, su confiablidad se determinó mediante el coeficiente de Alfa de Cronbach, cuyo valor fue 0.852. Los resultados de la investigación demuestran que existe relación directa y significativa entre la Gestión Administrativa y la Calidad de Servicio en la Municipalidad Distrital de Puente Piedra.2014. Siendo el coeficiente de correlación de un Rho de Spearman de 0.877 representando una alta asociación entre las variables

Musculoskeletal Model Personalization Affects Metabolic Cost Estimates for Walking.

Assessment of metabolic cost as a metric for human performance has expanded across various fields within the scientific, clinical, and engineering communities. As an alternative to measuring metabolic cost experimentally, musculoskeletal models incorporating metabolic cost models have been developed. However, to utilize these models for practical applications, the accuracy of their metabolic cost predictions requires improvement. Previous studies have reported the benefits of using personalized musculoskeletal models for various applications, yet no study has evaluated how model personalization affects metabolic cost estimation. This study investigated the effect of musculoskeletal model personalization on estimates of metabolic cost of transport (CoT) during post-stroke walking using three commonly used metabolic cost models. We analyzed walking data previously collected from two male stroke survivors with right-sided hemiparesis. The three metabolic cost models were implemented within three musculoskeletal modeling approaches involving different levels of personalization. The first approach used a scaled generic OpenSim model and found muscle activations via static optimization (SOGen). The second approach used a personalized electromyographic (EMG)-driven musculoskeletal model with personalized functional axes but found muscle activations via static optimization (SOCal). The third approach used the same personalized EMG-driven model but calculated muscle activations directly from EMG data (EMGCal). For each approach, the muscle activation estimates were used to calculate each subject's CoT at different gait speeds using three metabolic cost models (Umberger et al., 2003; Bhargava et al., 2004; Umberger, 2010). The calculated CoT values were compared with published CoT data as a function of walking speed, step length asymmetry, stance time asymmetry, double support time asymmetry, and severity of motor impairment (i.e., Fugl-Meyer score). Overall, only SOCal and EMGCal with the Bhargava metabolic cost model were able to reproduce accurately published experimental trends between CoT and various clinical measures of walking asymmetry post-stroke. Tuning of the parameters in the different metabolic cost models could potentially resolve the observed CoT magnitude differences between model predictions and experimental measurements. Realistic CoT predictions may allow researchers to predict human performance, surgical outcomes, and rehabilitation outcomes reliably using computational simulations

Musculoskeletal Model Personalization Affects Metabolic Cost Estimates for Walking

Assessment of metabolic cost as a metric for human performance has expanded across various fields within the scientific, clinical, and engineering communities. As an alternative to measuring metabolic cost experimentally, musculoskeletal models incorporating metabolic cost models have been developed. However, to utilize these models for practical applications, the accuracy of their metabolic cost predictions requires improvement. Previous studies have reported the benefits of using personalized musculoskeletal models for various applications, yet no study has evaluated how model personalization affects metabolic cost estimation. This study investigated the effect of musculoskeletal model personalization on estimates of metabolic cost of transport (CoT) during post-stroke walking using three commonly used metabolic cost models. We analyzed walking data previously collected from two male stroke survivors with right-sided hemiparesis. The three metabolic cost models were implemented within three musculoskeletal modeling approaches involving different levels of personalization. The first approach used a scaled generic OpenSim model and found muscle activations via static optimization (SOGen). The second approach used a personalized electromyographic (EMG)-driven musculoskeletal model with personalized functional axes but found muscle activations via static optimization (SOCal). The third approach used the same personalized EMG-driven model but calculated muscle activations directly from EMG data (EMGCal). For each approach, the muscle activation estimates were used to calculate each subject’s CoT at different gait speeds using three metabolic cost models (Umberger et al., 2003;Bhargava et al., 2004;Umberger, 2010). The calculated CoT values were compared with published CoT data as a function of walking speed, step length asymmetry, stance time asymmetry, double support time asymmetry, and severity of motor impairment (i.e., Fugl-Meyer score). Overall, only SOCal and EMGCal with the Bhargava metabolic cost model were able to reproduce accurately published experimental trends between CoT and various clinical measures of walking asymmetry post-stroke. Tuning of the parameters in the different metabolic cost models could potentially resolve the observed CoT magnitude differences between model predictions and experimental measurements. Realistic CoT predictions may allow researchers to predict human performance, surgical outcomes, and rehabilitation outcomes reliably using computational simulations.</jats:p

Technology Enhanced Learning and Student Academic Performance at a Public University in Peru

The adaptation of the teaching-learning process to virtuality, supported by the use of the academic platform in order to continue with educational activities, has gradually improved and has been reflected in the student's academic performance. The objective of the research was to analyze the learning strategies used by university students during the learning process enhanced by technology, to identify those used most frequently, as well as the relationships they have with the grade point average obtained in their academic performance. The study group was represented by a sample of 486 students from four academic programs of the Public University of Peru (Universidad Nacional San Luis Gonzaga). It was a mixed-focus study that worked with the ACRA-Abridged questionnaire that was virtually delivered to the student to collect the strategies used for their virtual learning. It is concluded that, despite various problems related to connectivity, they are always motivated to successfully achieve learning, likewise, the training process of the platform's digital tools must continue, as well as guiding the student in their learning virtual.</jats:p

Factors associated with poor physical performance in older adults of 11 Peruvian high Andean communities

Background: Physical performance in the older adult has been extensively studied. However, only a few studies have evaluated physical performance among older adults of high Andean populations and none have studied the factors associated with it. The objective of this study was to evaluate factors associated with poor physical performance by using the Short Physical Performance Battery (SPPB) in older adults living in 11 Peruvian high Andean communities. Methods: An analytical cross-sectional study was carried out in inhabitants aged 60 or over from 11 high-altitude Andean communities of Peru during 2013-2017. Participants were categorized in two groups according to their SPPB score: poor physical performance (0-6 points) and medium/good physical performance (7-12 points). Additionally, we collected socio-demographic, medical, functional and cognitive assessment information. Poisson regression models were constructed to identify factors associated with poor physical performance. Prevalence ratio (PR) with 95% confidence intervals (95 CI%) are presented. Results: A total of 407 older adults were studied. The average age was 73.0 ± 6.9 years (range: 60-94 years) and 181 (44.5%) participants had poor physical performance (0-6 points). In the adjusted Poisson regression analysis, the factors associated with poor physical performance were: female gender (PR=1.29; 95%CI: 1.03-1.61), lack of social support (PR=2.10; 95%CI: 1.17-3.76), number of drugs used (PR=1.09; 95%CI: 1.01-1.17), urinary incontinence (PR=1.45; 95%CI: 1.16-1.82), exhaustion (PR=1.35; 95%CI: 1.03-1.75) and cognitive impairment (PR=1.89; 95%CI: 1.40-2.55). Conclusions: Almost half of the population evaluated had poor physical performance based on the SPPB. Factors that would increase the possibility of suffering from poor physical performance were: female gender, lack of social support, number of drugs used, urinary incontinence, exhaustion and cognitive impairment. Future studies with a larger sample and longitudinal follow-up are needed to design beneficial interventions for the high Andean population.</ns3:p

Factors associated with poor physical performance in older adults of 11 Peruvian high Andean communities

Background: Physical performance in the older adult has been extensively studied. However, only a few studies have evaluated physical performance among older adults of high Andean populations and none have studied the factors associated with it. The objective of this study was to evaluate factors associated with poor physical performance by using the Short Physical Performance Battery (SPPB) in older adults living in 11 Peruvian high Andean communities. Methods: An analytical cross-sectional study was carried out in inhabitants aged 60 or over from 11 high-altitude Andean communities of Peru during 2013-2017. Participants were categorized in two groups according to their SPPB score: poor physical performance (0-6 points) and medium/good physical performance (7-12 points). Additionally, we collected socio-demographic, medical, functional and cognitive assessment information. Poisson regression models were constructed to identify factors associated with poor physical performance. Prevalence ratio (PR) with 95% confidence intervals (95 CI%) are presented.Revisado por pare

Food in the pits. Content analysis of Magdalenian negative structures from Tito Bustillo Cave-Dwelling Area (Ribadesella, Asturias, Spain)

International audienc

Food in the pits. Content analysis of Magdalenian negative structures from Tito Bustillo Cave-Dwelling Area (Ribadesella, Asturias, Spain)

International audienc