Characterization of gait in female patients with moderate to severe hallux valgus deformity.

BACKGROUND: Hallux valgus is one of the most common forefoot problems in females. Studies have looked at gait alterations due to hallux valgus deformity, assessing temporal, kinematic or plantar pressure parameters individually. The present study, however, aims to assess all listed parameters at once and to isolate the most clinically relevant gait parameters for moderate to severe hallux valgus deformity with the intent of improving post-operative patient prognosis and rehabilitation. METHODS: The study included 26 feet with moderate to severe hallux valgus deformity and 30 feet with no sign of hallux valgus in female participants. Initially, weight bearing radiographs and foot and ankle clinical scores were assessed. Gait assessment was then performed utilizing pressure insoles (PEDAR®) and inertial sensors (Physilog®) and the two groups were compared using a non-parametric statistical hypothesis test (Wilcoxon rank sum, P<0.05). Furthermore, forward stepwise regression was used to reduce the number of gait parameters to the most clinically relevant and correlation of these parameters was assessed with the clinical score. FINDINGS: Overall, the results showed clear deterioration in several gait parameters in the hallux valgus group compared to controls and 9 gait parameters (effect size between 1.03 and 1.76) were successfully isolated to best describe the altered gait in hallux valgus deformity (r(2)=0.71) as well as showed good correlation with clinical scores. INTERPRETATION: Our results, and nine listed parameters, could serve as benchmark for characterization of hallux valgus and objective evaluation of treatment efficacy.

Virtuaaliprototyypin käyttö kallioporakoneen dynamiikan analysoinnissa

Työn tavoitteena oli selvittää kaupallisen dynamiikan simulointiohjelmiston soveltuvuus kallioporakoneen dynamiikan analysointiin. Työssä mallinnettiin parametrisoitu virtuaaliprototyyppi uudenlaisella toimintaperiaatteella toimivasta kallioporakoneesta. Virtuaaliprototyyppiä on tarkoitus käyttää fyysisen prototyypin mitoituksessa sekä porakoneen toiminnan simuloinnissa ja suorituskyvyn arvioinnissa ennen ensimmäisen fyysisen prototyypin valmistamista. Mallinnus tehtiin ADAMS -ohjelmistoa ja siihen liitettävää ADAMS/Hydraulics -moduulia käyttäen. Mallinnuksessa kiinnitettiin huomiota erityisesti porakoneessa esiintyvien vuotovirtauksien huomioimiseen. ADAMS -ohjelmisto soveltuu hyvin hydraulisen iskuporakoneen dynaamisten ilmiöiden simulointiin. Koska fyysistä prototyyppiä ei ole vielä olemassa, ei mallin toimintaa voida kuitenkaan tämän tutkimuksen puitteissa verifioida mittauksin. Simuloitujen tulosten perusteella voidaan todeta uuden toimintaperiaatteen olevan käyttökelpoinen kallion poraukseen. Parametrisoitua virtuaaliprototyyppiä voidaan käyttää tehokkaasti hyväksi tuotekehitysvaiheessa sekä se voidaan liittää osaksi laajempaa ja yksityiskohtaisempaa porauslaitteen simulointimallia.

Market Index Biases and Minimum Risk Indices

Markets, in the real world, are not efficient zero-sum games where hypotheses of the CAPM are fulfilled. Then, it is easy to conclude the market portfolio is not located on Markowitz"s efficient frontier, and passive investments (and indexing) are not optimal but biased. In this paper, we define and analyze biases suffered by passive investors: the sample, construction, efficiency and active biases and tracking error are presented. We propose Minimum Risk Indices (MRI) as an alternative to deal with to market index biases, and to provide investors with portfolios closer to the efficient frontier, that is, more optimal investment possibilities. MRI (using a Parametric Value-at-Risk Minimization approach) are calculated for three stock markets achieving interesting results. Our indices are less risky and more profitable than current Market Indices in the Argentinean and Spanish markets, facing that way the Efficient Market Hypothesis. Two innovations must be outlined: an error dimension has been included in the backtesting and the Sharpe"s Ratio has been used to select the"best" MRI

Development of Furnace Model for Bubbling Fluidized Bed Boiler

The aim of this thesis was to develop a model, which can predict heat transfer, heat release distribution and vertical temperature profile of gas phase in the furnace of a bubbling fluidized bed (BFB) boiler. The model is based on three separate model components that take care of heat transfer, heat release distribution and mass and energy balance calculations taking into account the boiler design and operating conditions. The model was successfully validated by solving the model parameters on the basis of commercial size BFB boiler test run information and by performing parametric studies with the model. Implementation of the developed model for the Foster Wheeler BFB design procedures will require model validation with existing BFB database and possibly more detailed measurements at the commercial size BFB boilers.

Suurnopeuskompressorin modulaarisen runkosarjan suunnittelu

Tässä diplomityössä suunniteltiin parametrisesti modulaarinen koneen runko. Pyrkimyksenä oli suunnitella kokonaiskustannuksiltaan alhaisempi runkosarja jo olemassa oleviin suurnopeuskompressoreihin. Raportissa kerrotaan ensin modulaaristen tuoterakenteiden suunnittelusta ja käytettävästä suunnitteluohjelmistosta (SolidWorks). Sen jälkeen keskitytään suurnopeuskompressorin runkosarjan suunnitteluun esimerkkitapauksena. Aluksi keskitytään selvittämään rungolle asetettuja vaatimuksia ja ideoimaan erilaisia runkokonsepteja. Työ etenee ideoiden vertailun kautta modulaaristen konseptien luomiseen ja kahden moduulin moduulikohtaiseen suunnitteluun. Suunnitteluprosessissa käytetään rakenteen käyttäytymisen arviointiin äärellisten elementtien menetelmää (FEM). Työssä kehitettiin alkuperäisiin runkorakenteisiin verrattuna 10 % kustannuksiltaan edullisempi runkorakenneratkaisu, jonka purettavuus lisäksi alentaa rakenteen kuljetus- ja varastointikustannuksia.

Väsyttävästi kuormitettujen hitsattujen rakenteiden suunnittelukäytännön kehittäminen

Hitsatuilla rakenteilla väsyminen on keskeinen vauriotekijä. Väsymiskestoiän laskentaan on olemassa useita erilaisia menetelmiä, joista hot spot ﷓menetelmä on hitsattujen rakenteiden yhteydessä yhä yleistyvä ja sangen käyttökelpoinen. Hot spot menetelmässä kestoikälaskenta perustuu rakenteellisen jännityksen vaihteluun ja pieneen joukkoon kokeellisesti määrättyjä Wöhler-käyriä. Rakenteellinen jännitys voidaan määrittää joko prototyypistä mittaamalla, elementtimenetelmällä laskemalla tai parametristen kerrointen avulla. Suunnittelukäytännön kehittämisessä tutkittiin esimerkkirakenteena Rammer RC 22 leikkurimurskainta. Tarkoituksena oli mitata murskaimesta voimasuureita, joita voitaisiin käyttää kuormitustietona laskettaessa jännityksiä elementtimenetelmällä. Myöhempien laskentatulosten verifiointia varten mitattiin lisäksi muutamia hot spot ﷓jännityksiä. Työn kokeellinen puoli keskittyi voimasuuremittauksiin ja niistä saatavien tulosten saattamiseen sopusointuun vapaakappalemallien kanssa. Suoritettiin lukuisia kalibrointimittauksia ja mittausjärjestelyä kehitettiin, kunnes syyt aluksi saatujen mittaustulosten virheellisyyteen selvisivät. Leikkausvoimamittausten osalta tuloksia verifioitiin elementtimenetelmälaskelmin. Työn tuloksena saatiin luotua toimiva pohja voimasuure- ja hot spot ﷓mittauksille. Jatkossa voidaan siirtyä tekemään mittauksia todellisissa työskentelytilanteissa.

A multi-contrast MRI study of microstructural brain damage in patients with mild cognitive impairment.

OBJECTIVES: The aim of this study was to investigate pathological mechanisms underlying brain tissue alterations in mild cognitive impairment (MCI) using multi-contrast 3 T magnetic resonance imaging (MRI). METHODS: Forty-two MCI patients and 77 healthy controls (HC) underwent T1/T2* relaxometry as well as Magnetization Transfer (MT) MRI. Between-groups comparisons in MRI metrics were performed using permutation-based tests. Using MRI data, a generalized linear model (GLM) was computed to predict clinical performance and a support-vector machine (SVM) classification was used to classify MCI and HC subjects. RESULTS: Multi-parametric MRI data showed microstructural brain alterations in MCI patients vs HC that might be interpreted as: (i) a broad loss of myelin/cellular proteins and tissue microstructure in the hippocampus (p ≤ 0.01) and global white matter (p < 0.05); and (ii) iron accumulation in the pallidus nucleus (p ≤ 0.05). MRI metrics accurately predicted memory and executive performances in patients (p ≤ 0.005). SVM classification reached an accuracy of 75% to separate MCI and HC, and performed best using both volumes and T1/T2*/MT metrics. CONCLUSION: Multi-contrast MRI appears to be a promising approach to infer pathophysiological mechanisms leading to brain tissue alterations in MCI. Likewise, parametric MRI data provide powerful correlates of cognitive deficits and improve automatic disease classification based on morphometric features.

Robust Estimates of the Negative Binomial Model

We consider robust parametric procedures for univariate discrete distributions, focusing on the negative binomial model. The procedures are based on three steps: ?First, a very robust, but possibly inefficient, estimate of the model parameters is computed. ?Second, this initial model is used to identify outliers, which are then removed from the sample. ?Third, a corrected maximum likelihood estimator is computed with the remaining observations. The final estimate inherits the breakdown point (bdp) of the initial one and its efficiency can be significantly higher. Analogous procedures were proposed in [1], [2], [5] for the continuous case. A comparison of the asymptotic bias of various estimates under point contamination points out the minimum Neyman's chi-squared disparity estimate as a good choice for the initial step. Various minimum disparity estimators were explored by Lindsay [4], who showed that the minimum Neyman's chi-squared estimate has a 50% bdp under point contamination; in addition, it is asymptotically fully efficient at the model. However, the finite sample efficiency of this estimate under the uncontaminated negative binomial model is usually much lower than 100% and the bias can be strong. We show that its performance can then be greatly improved using the three step procedure outlined above. In addition, we compare the final estimate with the procedure described in

Phase mask selection in wavefront coding systems: an adaptive approach

A method for optimizing the strength of a parametric phase mask for a wavefront coding imaging system is presented. The method is based on an optimization process that minimizes a proposed merit function. The goal is to achieve modulation transfer function invariance while quantitatively maintaining nal image delity. A parametric lter that copes with the noise present in the captured images is used to obtain the nal images, and this lter is optimized. The whole process results in optimum phase mask strength and optimal parameters for the restoration lter. The results for a particular optical system are presented and tested experimentally in the labo- ratory. The experimental results show good agreement with the simulations, indicating that the procedure is useful.

Value at Risk in measuring market risk: Historical simulation

In this study the theoretical part was created to make comparison between different Value at Risk models. Based on that comparison one model was chosen to the empirical part which concentrated to find out whether the model is accurate to measure market risk. The purpose of this study was to test if Volatility-weighted Historical Simulation is accurate in measuring market risk and what improvements does it bring to market risk measurement compared to traditional Historical Simulation. Volatility-weighted method by Hull and White (1998) was chosen In order to improve the traditional methods capability to measure market risk. In this study we found out that result based on Historical Simulation are dependent on chosen time period, confidence level and how samples are weighted. The findings of this study are that we cannot say that the chosen method is fully reliable in measuring market risk because back testing results are changing during the time period of this study.

Detection of denial of service attacks

This thesis studies techniques used for detection of distributed denial of service attacks which during last decade became one of the most serious network security threats. To evaluate different detection algorithms and further improve them we need to test their performance under conditions as close to real-life situations as possible. Currently the only feasible solution for large-scale tests is the simulated environment. The thesis describes implementation of recursive non-parametric CUSUM algorithm for detection of distributed denial of service attacks in ns-2 network simulator – a standard de-facto for network simulation.

Bayesian Networks for the Age Classification of Living Individuals: a Study on Transition Analysis

Over the past few decades, age estimation of living persons has represented a challenging task for many forensic services worldwide. In general, the process for age estimation includes the observation of the degree of maturity reached by some physical attributes, such as dentition or several ossification centers. The estimated chronological age or the probability that an individual belongs to a meaningful class of ages is then obtained from the observed degree of maturity by means of various statistical methods. Among these methods, those developed in a Bayesian framework offer to users the possibility of coherently dealing with the uncertainty associated with age estimation and of assessing in a transparent and logical way the probability that an examined individual is younger or older than a given age threshold. Recently, a Bayesian network for age estimation has been presented in scientific literature; this kind of probabilistic graphical tool may facilitate the use of the probabilistic approach. Probabilities of interest in the network are assigned by means of transition analysis, a statistical parametric model, which links the chronological age and the degree of maturity by means of specific regression models, such as logit or probit models. Since different regression models can be employed in transition analysis, the aim of this paper is to study the influence of the model in the classification of individuals. The analysis was performed using a dataset related to the ossifications status of the medial clavicular epiphysis and results support that the classification of individuals is not dependent on the choice of the regression model.

Generic utilities in chronic obstructive pulmonary disease patients stratified according to different staging systems.

Background To determine generic utilities for Spanish chronic obstructive pulmonary disease (COPD) patients stratified by different classifications: GOLD 2007, GOLD 2013, GesEPOC 2012 and BODEx index. Methods Multicentre, observational, cross-sectional study. Patients were aged ≥40 years, with spirometrically confirmed COPD. Utility values were derived from EQ-5D-3 L. Means, standard deviations (SD), medians and interquartile ranges (IQR) were computed based on the different classifications. Differences in median utilities between groups were assessed by non-parametric tests. Results 346 patients were included, of which 85.5% were male with a mean age of 67.9 (SD = 9.7) years and a mean duration of COPD of 7.6 (SD = 5.8) years; 80.3% were ex-smokers and the mean smoking history was 54.2 (SD = 33.2) pack-years. Median utilities (IQR) by GOLD 2007 were 0.87 (0.22) for moderate; 0.80 (0.26) for severe and 0.67 (0.42) for very-severe patients (p < 0.001 for all comparisons). Median utilities by GOLD 2013 were group A: 1.0 (0.09); group B: 0.87 (0.13); group C: 1.0 (0.16); group D: 0.74 (0.29); comparisons were statistically significant (p < 0.001) except A vs C. Median utilities by GesEPOC phenotypes were 0.84 (0.33) for non exacerbator; 0.80 (0.26) for COPD-asthma overlap; 0.71 (0.62) for exacerbator with emphysema; 0.72 (0.57) for exacerbator with chronic bronchitis (p < 0.001). Comparisons between patients with or without exacerbations and between patients with COPD-asthma overlap and exacerbator with chronic bronchitis were statistically-significant (p < 0.001). Median utilities by BODEx index were: group 02: 0.89 (0.20); group 34: 0.80 (0.27); group 56: 0.67 (0.29); group 79: 0.41 (0.31). All comparisons were significant (p < 0.001) except between groups 34 and 56. Conclusion Irrespective of the classification used utilities were associated to disease severity. Some clinical phenotypes were associated with worse utilities, probably related to a higher frequency of exacerbations. GOLD 2007 guidelines and BODEx index better discriminated patients with a worse health status than GOLD 2013 guidelines, while GOLD 2013 guidelines were better able to identify a smaller group of patients with the best health.

Factors affecting hospital admission and recovery stay duration of in-patient motor victims in Spain

Hospital expenses are a major cost driver of healthcare systems in Europe, with motor injuries being the leading mechanism of hospitalizations. This paper investigates the injury characteristics which explain the hospitalization of victims of traffic accidents that took place in Spain. Using a motor insurance database with 16.081 observations a generalized Tobit regression model is applied to analyse the factors that influence both the likelihood of being admitted to hospital after a motor collision and the length of hospital stay in the event of admission. The consistency of Tobit estimates relies on the normality of perturbation terms. Here a semi-parametric regression model was fitted to test the consistency of estimates, concluding that a normal distribution of errors cannot be rejected. Among other results, it was found that older men with fractures and injuries located in the head and lower torso are more likely to be hospitalized after the collision, and that they also have a longer expected length of hospital recovery stay.

Cost-benefit analysis of an enhanced recovery protocol for pancreaticoduodenectomy.

BACKGROUND: Enhanced recovery after surgery (ERAS) programmes have been shown to decrease complications and hospital stay. The cost-effectiveness of such programmes has been demonstrated for colorectal surgery. This study aimed to assess the economic outcomes of a standard ERAS programme for pancreaticoduodenectomy. METHODS: ERAS for pancreaticoduodenectomy was implemented in October 2012. All consecutive patients who underwent pancreaticoduodenectomy until October 2014 were recorded. This group was compared in terms of costs with a cohort of consecutive patients who underwent pancreaticoduodenectomy between January 2010 and October 2012, before ERAS implementation. Preoperative, intraoperative and postoperative real costs were collected for each patient via the hospital administration. A bootstrap independent t test was used for comparison. ERAS-specific costs were integrated into the model. RESULTS: The groups were well matched in terms of demographic and surgical details. The overall complication rate was 68 per cent (50 of 74 patients) and 82 per cent (71 of 87 patients) in the ERAS and pre-ERAS groups respectively (P = 0·046). Median hospital stay was lower in the ERAS group (15 versus 19 days; P = 0·029). ERAS-specific costs were euro922 per patient. Mean total costs were euro56 083 per patient in the ERAS group and euro63 821 per patient in the pre-ERAS group (P = 0·273). The mean intensive care unit (ICU) and intermediate care costs were euro9139 and euro13 793 per patient for the ERAS and pre-ERAS groups respectively (P = 0·151). CONCLUSION: ERAS implementation for pancreaticoduodenectomy did not increase the costs in this cohort. Savings were noted in anaesthesia/operating room, medication and laboratory costs. Fewer patients in the ERAS group required an ICU stay.