Ergonomics, anthropometrics, and kinetic evaluation of gait: A case study

This study aimed to develop appropriate changes in a pair of shoes in order to improve the gait of an individual selected for this case study. This analysis took into account ergonomic aspects, namely those relating to the individual’s anthropometrics. Gait analysis was done with the adapted footwear both before and after intervention.A conventional X-ray was performed, which revealed a 29-mm left lower limb shortening and possible foot adduction. The anthropometric assessment confirmed a 27-mm asymmetry between the left knee and foot.Corrective changes were implemented in the left boot, with a 20-mm increase in the plantar aspect and approximately 30-mm in the calcaneus area.The pressure-mapping system WalkinSense was used for the kinetic gait analysis. Results showed some improvement in plantar pressure distribution after corrective changes in footwear. Peak pressure in the left foot decreased from 2.8kg/cm2 to 1.6kg/cm2. The second peak also showed a marked decrease. The right foot presented with a reduction in peak plantar pressure from 2.7kg/cm2 to 2.3kg/cm2.After identifying asymmetries, the associated pathologies and modifyingthe footwear, a kinetic analysis of gait before and after altering the footwear was undertaken, which showed improvements in the gait. According to the obtained results, it was possible to demonstrate that the initially proposed objectives were achieved, i.e., the changes in footwear resulted in an improvement of the analyzed individual.

Synthesis and biological evaluation of mono and bis-naphthalimide derivatives against SH-SY5Y, human brain cancer cells

Dissertação de mestrado em Medicinal Chemistry

Evaluación de aspectos agronómicos, químicos-nutricionales y tecnológicos de lupinos y quínoas. Agronomic, chemical-nutritional and technological evaluation of lupin and quinoa grain crops.

Este proyecto desarrolla estudios multidisciplinarios para contribuir con información avalada por métodos científicos, a propuestas de desarrollos regionales agronómicos y de tecnología de alimentos en la provincia de Córdoba. Se propone realizar evaluaciones de factibilidad de cultivo de variedades de lupinos y quínoas en parcelas experimentales y huertas, verificar las características químico-nutricionales de los granos y establecer mecanismos tecnológicos, para poder presentar productos alimenticios viables de comercialización. Estos granos, poco conocidos en los hábitos nutricionales actuales, fueron considerados desde la antigüedad por distintas civilizaciones, como importantes fuentes de alimento vegetal. En la actualidad la necesidad de contar con nuevas fuentes de alimentos provenientes de sistemas auto-sustentables y manufacturación artesanal, ha llevado investigar alternativas de nuevos cultivos y a revalorizar aquellos que han sucumbido a las tecnologías modernas. Tanto los granos de quínoa como la de los lupinos han cobrado interés a nivel internacional por su alto valor nutricional, farmacológico y por sus cualidades de plantas rústicas a los manejos de cultivo. Es por esas razones, que se propone desarrollar un proyecto de investigación con transferencia de tecnología, para contar con experiencias que permitan establecer los lineamientos agronómicos y de tecnología de alimentos necesarios para promover los granos de lupinos y quínoas dentro de los planes nutricionales de nuestra sociedad. La importancia de este proyecto se fundamenta en la necesidad de buscar nuevas alternativas de cultivos que se adapten a los recursos de clima y suelo en áreas rurales de las sierras de Córdoba y promover nuevos emprendimientos relacionados con los sectores agrícolas y de la alimentación. Para su mejor desarrollo el proyecto está diagramado en tres módulos que cubren las siguientes áreas: Módulo 1, ensayos de cultivo en parcelas experimentales y huertas comunales; Módulo 2, análisis químicos-nutricionales; Módulo 3, diseño y adaptación de equipamiento para la manufacturación de alimentos. La metodología de investigación está ampliamente respaldada por la experiencia que cuenta el equipo de trabajo en los módulos propuestos y que puede ser verificada en la producción científica plasmada en trabajos publicados en revistas con referato nacionales e internacionales, presentaciones a congresos y direcciones de tesis.

Un modelo contable para la evaluación económico-financiera en escenarios futuros de la empresa agropecuaria. An accounting model for the economic and financial evaluation of future scenarios in farm enterprises.

El problema: En todo momento y sobre todo cuando estamos en presencia de escenarios económicos turbulentos resulta imprescindible utilizar herramientas que permitan realizar análisis de sensitividad sobre las distintas situaciones que podrían plantearse. La elaboración de modelos matemáticos deterministas desde las aplicaciones realizadas por Richard Mattessich han constituido un instrumento idóneo para el caso de empresas comerciales o industriales. Los modelos informáticos utilizados para las empresas agropecuarias han abordado fundamentalmente la temática relacionada con la producción, no así las otras variables económicas y financieras. Por lo tanto, entendemos que se hace necesario trabajar con modelos agropecuarios que comprendan todas las variables económicas y financieras, de manera de observar otro tipo de cuestiones, tales como: el modo de financiarse, los costos financieros, necesidades de capital de trabajo. Hipótesis: Es posible, a través de la utilización de la información contable en sentido prospectivo, interpretar adecuadamente los escenarios futuros de las organizaciones agropecuarias, cuantificando los impactos que generan tanto las estrategias y políticas aplicables, como las distorsiones del contexto. Objetivo general: determinar la incidencia de las decisiones internas y las que provengan del funcionamiento del sistema económico, a través de la información contable prospectiva. Objetivos específicos: a. Describir los impactos que se producen en la estructura patrimonial, financiera y en los resultados, como consecuencia de los cambios en las estrategias y políticas de la empresa agropecuaria, así como los efectos macroeconómicos en la estructura de la empresa que pudieran estar conmoviendo la gestión económico-financiera. b. Identificar mecanismos y proponer criterios para la elaboración de modelos que permitan visualizar los impactos en los escenarios futuros y las adecuaciones necesarias en la estructura que permitan soportar las modificaciones. Metodología: será un estudio a nivel teórico, donde una vez identificadas las variables y planteados los modelos, se propondrán distintas situaciones y se testearán las respuestas. Resultados esperados: lograr un avance en la evaluación económico-financiera prospectiva de empresas agropecuarias y constituir un avance para futuras investigaciones. Importancia del proyecto: La producción agropecuaria es vital tanto para el desarrollo económico de Argentina, como en particular para la provincia de Córdoba. Elaborar herramientas que eficientizen la administración de este tipo de empresas, redundará en beneficio colectivo. Pertinencia: El producto verificable será la construcción de un modelo distinto a los actuales, tanto en su desarrollo, objetivo al que está destinado y sencillez de su aplicación, posibilitando la inserción del productor en el proceso de planificación, reduciendo el riesgo en la toma de decisiones. Esperando generar un avance sobre los modelos preexistente.

Instrumentation and software for the VERITAS Project and the detection of TeV Gamma-Ray Emission from the BL Lacertae Object 1ES1959+650

Transmission of Cherenkov light through the atmosphere is strongly influenced by the optical clarity of the atmosphere and the prevailing weather conditions. The performance of telescopes measuring this light is therefore dependent on atmospheric effects. This thesis presents software and hardware developed to implement a prototype sky monitoring system for use on the proposed next-generation gamma-ray telescope array, VERITAS. The system, consisting of a CCD camera and a far-infrared pyrometer, was successfully installed and tested on the ten metre atmospheric Cherenkov imaging telescope operated by the VERITAS Collaboration at the F.L. Whipple Observatory in Arizona. The thesis also presents the results of observations of the BL Lacertae object, 1ES1959+650, made with the Whipple ten metre telescope. The observations provide evidence for TeV gamma-ray emission from the BL Lacertae object, 1ES1959+650, at a level of more than 15 standard deviations above background. This represents the first unequivocal detection of this object at TeV energies, making it only the third extragalactic source seen at such levels of significance in this energy range. The flux variability of the source on a number of timescales is also investigated.

Evaluating sampling strategies and logistic regression methods for modelling complex land cover changes

The role of land cover change as a significant component of global change has become increasingly recognized in recent decades. Large databases measuring land cover change, and the data which can potentially be used to explain the observed changes, are also becoming more commonly available. When developing statistical models to investigate observed changes, it is important to be aware that the chosen sampling strategy and modelling techniques can influence results. We present a comparison of three sampling strategies and two forms of grouped logistic regression models (multinomial and ordinal) in the investigation of patterns of successional change after agricultural land abandonment in Switzerland. Results indicated that both ordinal and nominal transitional change occurs in the landscape and that the use of different sampling regimes and modelling techniques as investigative tools yield different results. Synthesis and applications. Our multimodel inference identified successfully a set of consistently selected indicators of land cover change, which can be used to predict further change, including annual average temperature, the number of already overgrown neighbouring areas of land and distance to historically destructive avalanche sites. This allows for more reliable decision making and planning with respect to landscape management. Although both model approaches gave similar results, ordinal regression yielded more parsimonious models that identified the important predictors of land cover change more efficiently. Thus, this approach is favourable where land cover change pattern can be interpreted as an ordinal process. Otherwise, multinomial logistic regression is a viable alternative.

Microstructure Order Flow: Statistical and Economic Evaluation of Nonlinear Forecasts

In this paper we propose a novel empirical extension of the standard market microstructure order flow model. The main idea is that heterogeneity of beliefs in the foreign exchange market can cause model instability and such instability has not been fully accounted for in the existing empirical literature. We investigate this issue using two di¤erent data sets and focusing on out- of-sample forecasts. Forecasting power is measured using standard statistical tests and, additionally, using an alternative approach based on measuring the economic value of forecasts after building a portfolio of assets. We nd there is a substantial economic value on conditioning on the proposed models.

Combinatorial Synthesis and Biological Evaluation of Inhibitors of D-Ala-D-Ala-Ligase

Report for the scientific sojourn carried out at the Max Planck Institut of Molecular Phisiology, Germany, from 2006 to 2008.The work carried out during this postdoctoral stage was focused on two different projects. Firstly, identification of D-Ala D-Ala Inhibitors and the development of new synthethic approaches to obtain lipidated peptides and proteins and the use of these lipidated proteins in biological and biophysical studies. In the first project, new D-Ala D-Ala inhibitors were identified by using structural alignments of the ATP binding sites of the bacterial ligase DDl and protein and lipid kinases in complex with ATP analogs. We tested a series of commercially available kinase inhibitors and found LFM-A13 and Tyrphostine derivatives to inhibit DDl enzyme activity. Based on the initial screening results we synthesized a series of malononitrilamide and salicylamide derivatives and were able to confirm the validity of these scaffolds as inhibitors of DDl. From this investigation we gained a better understanding of the structural requirements and limitations necessary for the preparation of ATP competitive DDl inhibitors. The compounds in this study may serve as starting points for the development of bi-substrate inhibitors that incorporate both, an ATP competitive and a substrate competitive moiety. Bisubstrate inhibitors that block the ATP and D-Ala binding sites should exhibit enhanced selectivity and potency profiles by preferentially inhibiting DDl over kinases. In the second project, an optimized synthesis for tha alkylation of cysteins using the thiol ene reaction was establisehd. This new protocol allowed us to obtain large amounts of hexadecylated cysteine that was required for the synthesis of differently lipidated peptides. Afterwards the synthesis of various N-ras peptides bearing different lipid anchors was performed and the peptides were ligated to a truncated N-ras protein. The influence of this differently lipidated N-ras proteins on the partioning and association of N-Ras in model membrane subdomains was studied using Atomic Force Microscopy.

Imperfect Attention and Menu Evaluation

We model the choice behaviour of an agent who suffers from imperfect attention. We define inattention axiomatically through preference over menus and endowed alternatives: an agent is inattentive if it is better to be endowed with an alternative a than to be allowed to pick a from a menu in which a is is the best alternative. This property and vNM rationality on the domain of menus and alternatives imply that the agent notices each alternative with a given menu-dependent probability (attention parameter) and maximises a menu independent utility function over the alternatives he notices. Preference for flexibility restricts the model to menu independent attention parameters as in Manzini and Mariotti [19]. Our theory explains anomalies (e.g. the attraction and compromise effect) that the Random Utility Model cannot accommodate.

Pharmacological and toxicological evaluation of Alpinia speciosa

Alpinia speciosa Schum or A. nutans is a plant of the Zingiberanceae family, Known popularly as "colony" (colônia) and used as a diuretic and to control hypertensión. We have determinated the concentration of Na+ and K+ found in the alcoholic extract and in the tea concoction. They contained 51.0mEq Na+, and 132 mEq K+ in the extract, and 0,0 mEq of Na+ and 26 mEq K+ in the tea. Phytochemical analysis of the leaves demonstrated the presence of catecquic tanins, phenols and alkaloids, and also some essential oils. When injected intra-peritoneally the hydroalcoholic extract, in range of 100 a 1400 mg/Kg, (or 2500-18000 mg/Kg orally) produced in mice: writhing, psychomorot excitation, hypokinesis and pruritus. The LD50 by ip was 0.760 + or - 0.126 g/Kg and 10.0 + or - 2.5 g/Kg by oral administration for the hydroalcoholic extract. Subacute toxicity made injecting daily for 30 days the LD10 in rats caused an increase in transaminases and lactate dehydrogenase, whereas other parameters such as nlood glucose, urea and creatinine were normal. A histopathological analysis of liver, spleen, gut, lung and heart showed no alterations. The drug also produced a prolongation of the sleeping time. The hydroalcoholic extract induced int he rat and in the dog a dose-dependent fall in blood pressure in doses of 10 to 30 mg/Kg. In isolated atria the extract induced a reduction of the frequnecy and in the inotropic responses. Neither the extract nor the tea had an effect on the diuresis of the rat.

Optimal exponent heat balance and refined integral methods applied to Stefan problems

When using a polynomial approximating function the most contentious aspect of the Heat Balance Integral Method is the choice of power of the highest order term. In this paper we employ a method recently developed for thermal problems, where the exponent is determined during the solution process, to analyse Stefan problems. This is achieved by minimising an error function. The solution requires no knowledge of an exact solution and generally produces significantly better results than all previous HBI models. The method is illustrated by first applying it to standard thermal problems. A Stefan problem with an analytical solution is then discussed and results compared to the approximate solution. An ablation problem is also analysed and results compared against a numerical solution. In both examples the agreement is excellent. A Stefan problem where the boundary temperature increases exponentially is analysed. This highlights the difficulties that can be encountered with a time dependent boundary condition. Finally, melting with a time-dependent flux is briefly analysed without applying analytical or numerical results to assess the accuracy.

The value of selected in vitro and in silico methods to predict acute oral toxicity in a regulatory context: results from the European Project ACuteTox.

ACuteTox is a project within the 6th European Framework Programme which had as one of its goals to develop, optimise and prevalidate a non-animal testing strategy for predicting human acute oral toxicity. In its last 6 months, a challenging exercise was conducted to assess the predictive capacity of the developed testing strategies and final identification of the most promising ones. Thirty-two chemicals were tested blind in the battery of in vitro and in silico methods selected during the first phase of the project. This paper describes the classification approaches studied: single step procedures and two step tiered testing strategies. In summary, four in vitro testing strategies were proposed as best performing in terms of predictive capacity with respect to the European acute oral toxicity classification. In addition, a heuristic testing strategy is suggested that combines the prediction results gained from the neutral red uptake assay performed in 3T3 cells, with information on neurotoxicity alerts identified by the primary rat brain aggregates test method. Octanol-water partition coefficients and in silico prediction of intestinal absorption and blood-brain barrier passage are also considered. This approach allows to reduce the number of chemicals wrongly predicted as not classified (LD50>2000 mg/kg b.w.).

A comparative study on IgG-ELISA, IgM-IFT and Kato-Katz methods for epidemiological purposes in a low endemic area for schistosomiasis

The high sensitivity and the possibility of automation of the enzyme-linked-immunosorbent-assay (ELISA) has indicated this technique as one of the most useful serological test for epidemiological studies. In the present study, an ELISA for detection of IgG antibodies against adult worm antigens (IgG-ELISA) was investigated for epidemiological purposes, in a rural area of the municipality of Itariri (São Paulo, Brazil). Blood on filter paper (1,180 samples) from about 650 schoolchildren were submitted to ELISA and the data compared to the results of the parasitological method of Kato-Katz and also to the IgM-IFT (immunofluorescence test for IgM antibodies to gut associated antigens). The prevalence rates respectively of 8.5%, 43.0%, and 56.2% by the Kato-Katz, IgG-ELISA, and IgM-IFT methods suggest the poor sensitivity of the parasitological method for detection of Schistosoma mansoni eggs in individuals with low worm burden, situation commonly observed in low endemic areas. These results can partially explain the poor degree of agreement between the IgG-ELISA and the Kato-Katz, as suggested by the Kappa index of 0.170. Otherwise, the Kappa index of 0.675 showed substantial agreement between the two serological tests. Some discrepancy of results between the two serological techniques must be better investigated.