Evaluación de la carretera que une los Caseríos Cruz Colorada – Cenolen del distrito de Pías – provincia de Pataz – región de La Libertad, propuesta de mejora - 2019

El objetivo de este proyecto fue evaluar el tramo de la carretera que une los caseríos Cruz Colorada – Cenolen del distrito de Pías – Provincia de Pataz – Región de la Libertad, para posteriormente realizar una propuesta de mejora teniendo como beneficiarios la población de la zona, realizando así el estudio de las propiedades físico mecánicas del suelo, el estudio geométrico de la carretera, la verificación del sistema de drenaje y la propuesta de mejora que se desarrollará para este proyecto. El tipo de investigación es diseño explicativo - no experimental, teniendo como variable independiente la evaluación de la carretera. La población y muestras de este proyecto es la trocha carrozable existente que une estos caseríos de cruz colorada y cenolen que cuenta con una longitud de 4.5 km. Los instrumentos usados para la recolección de los datos fueron las guías de observación, las fichas técnicas y fichas de recojo de datos válidas por el MTC. Como resultados principales rescatamos que, según clasificación AASHTO se determinó el material de tipo A-1-b en su totalidad, clasificación SUCS conformado por el material SM con 60%, seguido del material GM con el 40%, los valores del CBR son óptimos, los límites de Atterberg están dentro de los parámetros aceptados adecuado para pavimentos, la topografía del terreno es ondulada, escarpada accidentada y presenta deficiencia geométrica, cuenta parcialmente con obras de arte, o en su mayoría inexistentes, se realizó una propuesta de diseño del sistema de drenaje para su próxima implementación en la zona de estudio y se propone la adición de un aditivo estabilizante para el mejoramiento de la capa de rodadura. Finalmente se llegó a la conclusión que, al conocer el estado actual de la carretera, se propone un mejoramiento, con la dirección de los parámetros establecidos en los manuales para carreteras

Characterization of a raspberry Pi as the core for a low-cost multimodal EEG-fNIRS platform.

Poor understanding of brain recovery after injury, sparsity of evaluations and limited availability of healthcare services hinders the success of neurorehabilitation programs in rural communities. The availability of neuroimaging ca-pacities in remote communities can alleviate this scenario supporting neurorehabilitation programs in remote settings. This research aims at building a multimodal EEG-fNIRS neuroimaging platform deployable to rural communities to support neurorehabilitation efforts. A Raspberry Pi 4 is chosen as the CPU for the platform responsible for presenting the neurorehabilitation stimuli, acquiring, processing and storing concurrent neuroimaging records as well as the proper synchronization between the neuroimaging streams. We present here two experiments to assess the feasibility and characterization of the Raspberry Pi as the core for a multimodal EEG-fNIRS neuroimaging platform; one over controlled conditions using a combination of synthetic and real data, and another from a full test during resting state. CPU usage, RAM usage and operation temperature were measured during the tests with mean operational records below 40% for CPU cores, 13.6% for memory and 58.85 ° C for temperatures. Package loss was inexistent on synthetic data and negligible on experimental data. Current consumption can be satisfied with a 1000 mAh 5V battery. The Raspberry Pi 4 was able to cope with the required workload in conditions of operation similar to those needed to support a neurorehabilitation evaluation

Moving forward on u-healthcare: A framework for patient-centric

Delivering remote healthcare services without deteriorating the ‘patient experience’ requires building highly usable and adaptive applications. Efficient context data collection and management make possible to infer extra knowledge on the user’s situation, making easier the design of these advanced ubiquitous applications. This contribution, part of a work in progress which aims at building an operative AmI middleware, presents a generic architecture to provide u-healthcare services, to be delivered both in mobile and home environments. In particular, we address the design of the Context Management Component (CMC), the module that takes context data from the sensing layer and performs data fusion and reasoning to build an aggregated ‘context image’. We especially explain the requirements on data modelling and the functional features that are imposed to the CMC. The resulting logical multilayered architecture -composed by acquisition and fusion, inference and reasoning levels- is detailed, and the technologies needed to develop the Context Management Component are finally specifie

Influence of Poor Oral Health on Physical Frailty: A Population-Based Cohort Study of Older British Men.

OBJECTIVES: To investigate the associations between objective and subjective measures of oral health and incident physical frailty. DESIGN: Cross-sectional and longitudinal study with 3 years of follow-up using data from the British Regional Heart Study. SETTING: General practices in 24 British towns. PARTICIPANTS: Community-dwelling men aged 71 to 92 (N = 1,622). MEASUREMENTS: Objective assessments of oral health included tooth count and periodontal disease. Self-reported oral health measures included overall self-rated oral health; dry mouth symptoms; sensitivity to hot, cold, and sweet; and perceived difficulty eating. Frailty was defined using the Fried phenotype as having 3 or more of weight loss, grip strength, exhaustion, slow walking speed, and low physical activity. Incident frailty was assessed after 3 years of follow-up in 2014. RESULTS: Three hundred three (19%) men were frail at baseline (aged 71-92). Having fewer than 21 teeth, complete tooth loss, fair to poor self-rated oral health, difficulty eating, dry mouth, and more oral health problems were associated with greater likelihood of being frail. Of 1,284 men followed for 3 years, 107 (10%) became frail. The risk of incident frailty was higher in participants who were edentulous (odds ratio (OR) = 1.90, 95% confidence interval (CI) = 1.03-3.52); had 3 or more dry mouth symptoms (OR = 2.03, 95% CI = 1.18-3.48); and had 1 (OR = 2.34, 95% CI = 1.18-4.64), 2 (OR = 2.30, 95% CI = 1.09-4.84), or 3 or more (OR = 2.72, 95% CI = 1.11-6.64) oral health problems after adjustment for age, smoking, social class, history of cardiovascular disease or diabetes mellitus, and medications related to dry mouth. CONCLUSION: The presence of oral health problems was associated with greater risks of being frail and developing frailty in older age. The identification and management of poor oral health in older people could be important in preventing frailty

The comparative responsiveness of Hospital Universitario Princesa Index and other composite indices for assessing rheumatoid arthritis activity

Objective To evaluate the responsiveness in terms of correlation of the Hospital Universitario La Princesa Index (HUPI) comparatively to the traditional composite indices used to assess disease activity in rheumatoid arthritis (RA), and to compare the performance of HUPI-based response criteria with that of the EULAR response criteria. Methods Secondary data analysis from the following studies: ACT-RAY (clinical trial), PROAR (early RA cohort) and EMECAR (pre-biologic era long term RA cohort). Responsiveness was evaluated by: 1) comparing change from baseline (Delta) of HUPI with Delta in other scores by calculating correlation coefficients; 2) calculating standardised effect sizes. The accuracy of response by HUPI and by EULAR criteria was analyzed using linear regressions in which the dependent variable was change in global assessment by physician (Delta GDA-Phy). Results Delta HUPI correlation with change in all other indices ranged from 0.387 to 0.791); HUPI's standardized effect size was larger than those from the other indices in each database used. In ACT-RAY, depending on visit, between 65 and 80% of patients were equally classified by HUPI and EULAR response criteria. However, HUPI criteria were slightly more stringent, with higher percentage of patients classified as non-responder, especially at early visits. HUPI response criteria showed a slightly higher accuracy than EULAR response criteria when using Delta GDA-Phy as gold standard. Conclusion HUPI shows good responsiveness in terms of correlation in each studied scenario (clinical trial, early RA cohort, and established RA cohort). Response criteria by HUPI seem more stringent than EULAR''s