Observations upon the supplies of provisions to the metropolis, and upon the means of their continuance in case of invasion,

Mode of access: Internet.

Tőkeallokáció nem likvid portfóliók esetén (Risk capital allocation in case of illiquid portfolios)

A kockázat jó mérése és elosztása elengedhetetlen a bankok, biztosítók, befektetési alapok és egyéb pénzügyi vállalkozások belső tőkeallokációjához vagy teljesítményértékeléséhez. A cikkben bemutatjuk, hogy a koherens kockázati mértékek axiómáit nem likvid portfóliók esetén is el lehet várni. Így mérve a kockázatot, ismertetünk a kockázatelosztásra vonatkozó két kooperatív játékelméleti cikket. Az első optimista, eszerint mindig létezik stabil, az alegységek minden koalíciója által elfogadható, általános módszer a kockázat (tőke) elosztására. A második cikk pesszimista, mert azt mondja ki, hogy ha a stabilitás mellett igazságosak is szeretnénk lenni, akkor egy lehetetlenségi tételbe ütközünk. / === / Measuring and allocating risk properly are crucial for performance evaluation and internal capital allocation of portfolios held by banks, insurance companies, investment funds and other entities subject to fi nancial risk. We argue that the axioms of coherent measures of risk are valid for illiquid portfolios as well. Then, we present the results of two papers on allocating risk measured by a coherent measure of risk. Assume a bank has some divisions. According to the fi rst paper there is always a stable allocation of risk capital, which is not blocked by any coalition of the divisions, that is there is a core compatible allocation rule (we present some examples for risk allocation rules). The second paper considers two more natural requirements, Equal Treatment Property and Strong Monotonicity. Equal Treatment Property makes sure that similar divisions are treated symmetrically, that is if two divisions make the same marginal risk contribution to all the coalition of divisions not containing them, then the rule should allocate them the very same risk capital. Strong Monotonicity requires that if the risk environment changes in such a way that the marginal contribution of a division is not decreasing, then its allocated risk capital should not decrease either. However, if risk is evaluated by any coherent measure of risk, then there is no risk allocation rule satisfying Core Compatibility, Equal Treatment Property and Strong Monotonicity, we encounter an impossibility result.

A lean kultúra értelmezése és mérése egy egészségügyi szolgáltatónál (The interpretation and measurement of the lean culture – in case of a healthcare service provider)

A lean menedzsment egészségügyi szolgáltatásokra való alkalmazásával elérhető eredmények egyre inkább nyilvánvalóvá válnak. Ennek köszönhetően a szektorban dinamikus növekedés tapasztalható ezen a téren. A kutatások azonban arra hívják fel a figyelmet, hogy a lean menedzsment alkalmazásával elért eredmények csak akkor lesznek fenntarthatóak, ha az eszközök alkalmazását a kultúra átalakulása is követi. A kultúra változásának követéséhez annak folyamatos értékelésére van szükség. A szervezeti kultúra lean-specifikus méréséhez azonban – a szerzők tudomása szerint – még nincs kidolgozott eszköz. Ezért cikkükben a kapcsolódó szakirodalom áttekintése után kidolgoztak egy lean kultúra kérdőívet, majd bemutatják a kérdőív tesztelését és annak eredményeit. Összegzésként elmondható, hogy az itt bemutatott kérdőív az első tesztelés alapján további fejlesztésre szorul. / === / The results that can be obtained by applying lean management in healthcare services become more and more clear. This generates a dynamic increase of lean applications in healthcare. However, researches are warning that the res ults obtained by lean applications can only be sustained, if next to the use of the lean tools cultural change will also take place. In order to track changes in culture its constant evaluation is necessary. According to the authors’ knowledge today does not exist any lean-specific culture evaluation tool. In this paper they elaborate a lean culture questionnaire based on the review of relevant literature. Than they describe its test and the results of the test. The authors conclude that the questionnaire as introduced here needs further improvement.

Cut mowing and grazing effects with grey cattle on plant species composition in case of Pannon wet grasslands

Examined area can be found at Balaton Uplands National Park (Hungary). 5 sample areas were examined in Badacsonytördemic: 1: 32 hectare under-grazed pasture, 2: 38 hectare overgrazed pasture, 3: 34 hectare hayfield, 4: trampled area, 5: beaten track. Livestock population was 118 in the monitored pastures. Sampling was executed along five 52m long circular transects, within 5cm × 5cm interlocking quadrates. Based on the data we can state that the curve of the drinking area was the highest of speciesarea examinations however weed appeared because of degradation which provided more species. According to species-area examinations overgrazed areas were richer in species then other examined areas. Based on diversity data drinking area considered degraded, while meadow and overgrazed areas was considered as proper state. Diversity of meadow was larger, but dominance of economically useful species was smaller. The amount of less valuable species – Carex hirta – increased.

Does emergency vaccination make sense as a supporting element in control of foot-and-mouth disease in Switzerland

The outbreak of foot and mouth disease (FMD) in Great Britain in 2001 let to discussions and especially emergency vaccination was deemed as an alternative to the culling of vast numbers of healthy animals. The project emergency vaccination for FMD in Switzerland was conducted to compare the effectiveness of conventional control strategies during a FMD outbreak alone and with ring vaccination of 3 km and 10 km, respectively. The results of this project showed that emergency vaccination conducted at the beginning of an epidemic was not favorable compared to conventional disease control strategy in Switzerland. In case of an advanced FMD epidemic, a 10 km ring vaccination could support the disease control in a positive way. However, the goal of emergency vaccination to save animal live can hardly be achieved due to actual legal basis and the consequent restriction measures within vaccination zones which will lead to welfare culling.

Non invasive transcutaneous blood carboxyhemoglobine level: reliability in victims of carbon monoxide poisoning

Introduction: Carbon monoxide (CO) poisoning is one of the mostcommon causes of fatal poisoning. Symptoms of CO poisoning arenonspecific and the documentation of elevated carboxyhemoglobin(HbCO) levels in arterial blood sample is the only standard ofconfirming suspected exposure. The treatment of CO poisoning requiresnormobaric or hyperbaric oxygen therapy, according to the symptomsand HbCO levels. A new device, the Rad-57 pulse CO-oximeter allowsnoninvasive transcutaneous measurement of blood carboxyhemoglobinlevel (SpCO) by measurement of light wavelength absorptions.Methods: Prospective cohort study with a sample of patients, admittedbetween October 2008 - March 2009 and October 2009 - March 2010,in the emergency services (ES) of a Swiss regional hospital and aSwiss university hospital (Burn Center). In case of suspected COpoisoning, three successive noninvasive measurements wereperformed, simultaneously with one arterial blood HbCO test. A controlgroup includes patients admitted in the ES for other complaints (cardiacinsufficiency, respiratory distress, acute renal failure), but necessitatingarterial blood testing. Informed consent was obtained from all patients.The primary endpoint was to assess the agreement of themeasurements made by the Rad-57 (SpCO) and the blood levels(HbCO).Results: 50 patients were enrolled, among whom 32 were admittedfor suspected CO poisoning. Baseline demographic and clinicalcharacteristics of patients are presented in table 1. The median age was37.7 ans ± 11.8, 56% being male. Median laboratory carboxyhemoglobinlevels (HbCO) were 4.25% (95% IC 0.6-28.5) for intoxicated patientsand 1.8% (95% IC 1.0-5.3) for control patients. Only five patientspresented with HbCO levels >= 15%. The results disclose relatively faircorrelations between the SpCO levels obtained by the Rad-57 and thestandard HbCO, without any false negative results. However, theRad-57 tend to under-estimate the value of SpCO for patientsintoxicated HbCO levels >10% (fig. 1).Conclusion: Noninvasive transcutaneous measurement of bloodcarboxyhemoglobin level is easy to use. The correlation seems to becorrect for low to moderate levels (<15%). For higher values, weobserve a trend of the Rad-57 to under-estimate the HbCO levels. Apartfrom this potential limitation and a few cases of false-negative resultsdescribed in the literature, the Rad-57 may be useful for initial triageand diagnosis of CO.

Midterm and long-term results of percutaneous endovascular treatment of venous outflow obstruction after pediatric liver transplantation

PURPOSE: To evaluate retrospectively the midterm and long-term results of percutaneous endovascular treatment of venous outflow obstruction after pediatric liver transplantation. MATERIALS AND METHODS: During a 9-year period, 18 children with obstruction of a hepatic vein (HV) or inferior vena cava (IVC) anastomosis underwent percutaneous transluminal angioplasty (PTA) with balloon dilation or stent placement in case of PTA failure after liver transplantation. Patients` body weights ranged from 7.7 kg to 42.6 kg (mean, 18.8 kg +/- 9). Potential predictors of patency were compared between balloon dilation and stent placement groups. RESULTS: Forty-two procedures were performed (range, 1-11 per patient; mean, 2). Technical and initial clinical success were achieved in all cases. Major complications included one case of pulmonary artery stent embolization and one case of hemothorax. Three children (25%) with HV obstruction were treated with PTA and nine (75%) were treated with stent placement. Three children with IVC obstruction (75%) were treated with PTA and one (25%) was treated with a stent. There were two children with simultaneous obstruction at the HV and IVC; one was treated with PTA and the other with a stent. Cases of isolated HV stenosis have a higher probability of patency with balloon-expandable stent treatment compared with balloon dilation (P < .05). Follow-up time ranged from 7 days to 9 years (mean, 42 months +/- 31), and the primary assisted patency rate was 100% when stent placement was performed among the first three procedures. CONCLUSIONS: In cases of venous outflow obstruction resulting from HV and/or IVC lesions after pediatric liver transplantation, percutaneous endovascular treatment with balloon dilation or stent placement is a safe and effective alternative treatment that results in long-term patency.

Long-term results of the percutaneous transhepatic venoplasty of portal vein stenoses after pediatric liver transplantation

This paper has the objective to evaluate retrospectively the long-term results of transhepatic treatment of PV stenoses after pediatric LT. During an eight-yr period, 15 children with PV stenoses underwent PTA with balloon dilation or stent placement in case of PTA failure after LT. Patients` body weights ranged from 9.3 to 46 kg (mean, 15.5 kg). PV patency was evaluated in the balloon dilation and in the stent placement groups. Technical and clinical successes were achieved in all cases with no complication. Eleven patients (11/15; 73.3%) were successfully treated by single balloon dilation. Four patients (4/15; 26.7%) needed stent placement. One patient was submitted to stent placement during the same procedure because of PTA failure. The other three developed clinical signs of portal hypertension because of PV restenoses two, eight, and twenty-eight months after the first PTA. They had to be submitted to a new procedure with stent placement. The follow-up time ranged from 3 to 8.1 yr (mean, 6.3 yr). In conclusion, transhepatic treatment of PV stenoses after pediatric LT with balloon dilation or stent placement demonstrated to be a safe and effective treatment that results in long-term patency.

Evaluating Dynamic Signage for Emergency Evacuation using an Immersive Video Environment

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

Diagnostic and identification in situ of fungal pathogens in superficial mycosis

Fungi are divided in 3 groups in the field of medical mycology. The dermatophytes are filamentous fungi able to grow on keratinized tissues from human or animals. They are the main cause of superficial and cutaneous mycoses of the skin and its appendix (hair and nail). The yeasts, or dimorphic fungi, can be responsible of diverse types of infections (superficial to deep mycoses). The moulds include all Non-dermatophyte Filamentous Fungi (NDF). In medical mycology, the most representative moulds are Aspergillus spp., Fusarium spp. and Mucor spp. Diagnosis of mycosis is currently based on direct mycological examination of biological samples, as well as macroscopic and microscopic identification of the infectious fungus in culture assay. However, culture assays were found to remain sterile in roughly 40% of cases otherwise positive by direct mycological examinations. Additionally, results from culture assays are often difficult to interpret as various NDF are sometimes isolated. This thesis work is composed of three projects focusing on the development of new assays for direct in situ identification of fungi from dermatological samples. Part 1. A Polymerase Chain Reaction - Terminal Restriction Fragment Length Polymorphism assay (PCR-TRFLP) targeting the 28S rDNA was developed to identify dermatophytes and NDF in nails with suspected onychomycosis. This method is faster and more efficient than culture. It further enables the distinction of more than one agent in case of mixed infection. A fast and reliable assay for the identification of dermatophytes and NDF in onychomycosis was found to be highly relevant since onychomycosis with Fusarium spp. or other NDF are weakly responsive or unresponsive to standard onychomycosis treatments with oral terbinafine and itraconazole. Part 2. A nested PCR-sequencing assay targeting the 28S rDNA was developed to identify dermatophyte species in skin and hair samples. This method is especially suitable for tinea capitis where dermatophytes identification is critical for subsequently prescribing the adequate treatment. The challenge presented when performing direct PCR fungi identification in skin and hair differs from that seen in onychomycosis as small amount of material is generally collected, few fungal elements are present in the clinical sample and one dermatophyte among a dozen species must be identified. Part 3. Fusarium spp. is currently isolated from nails with a frequency of 15% of that of dermatophytes in the laboratory of Mycology of the CHUV (2005-2012). The aim of this work was to examine if the intensive use of terbinafine and itraconazole could be a cause of the high incidence of Fusarium nail infections. For that purpose, two different methods, specific PCR and TRFLP, were used to detect both Fusarium spp. and Trichophyton spp. in nails of previously treated or untreated patients. TRFLP assay was found to be less sensitive than classical PCR assays specifically detecting Fusarium spp. or Trichophyton spp. Independently of the detection method used, the prevalence of Fusarium spp. appears not to be higher in patients previously treated by oral standard treatment with terbinafine and azoles which are highly effective to fight Trichophyton spp. in nails. In many cases Fusarium sp. was detected in samples of patients not previously subjected to antifungal therapy. Therefore, these treatments do not appear to favor the establishment of Fusarium spp. after elimination of a dermatophyte in nail infection. - En mycologie médicale, les champignons sont classés en 3 groupes. Les dermatophytes sont des champignons filamenteux capables de se développer dans les tissus kératinisés des hommes et des animaux, ils représentent la principale cause des mycoses superficielles et cutanées de la peau et de ses appendices (ongles et cheveux). Les levures, ou champignons dimorphiques, peuvent être responsables de divers types d'infections (superficielles à profondes). Les moisissures incluent tous les champignons filamenteux non-dermatophytes (NDF), les Aspergillus spp., les Fusarium spp. et les Mucor spp. sont les principales espèces rencontrées. Le diagnostic d'une mycose est basé sur un examen mycologique direct des prélèvements biologiques ainsi que sur l'identification macroscopique et microscopique du champignon infectieux isolé en culture. Cependant, dans environ 40% des cas, l'identification de l'agent pathogène est impossible par cette méthode car la culture reste stérile, bien que l'examen direct soit positif. De plus, la croissance de moisissures et/ou autres contaminants peut rendre l'interprétation de l'examen difficile. Ce travail de thèse est composé de trois projets focalisés sur le développement de nouvelles méthodes d'identification des champignons directement à partir d'échantillons dermatologiques. Projet 1. Une méthode de Réaction en chaîne de polymérase couplée à du polymorphisme de longueur des fragments de restriction terminaux (PCR-TRFLP), en ciblant l'ADN ribosomal 28S, a été développée pour l'identification des dermatophytes et moisissures dans les ongles avec suspicion d'onychomycoses. Cette technique s'est avérée plus rapide et plus efficace que la culture, permettant l'identification de plusieurs champignons en même temps. Posséder une méthode d'identification rapide et fiable des dermatophytes et des NDF dans les onychomycoses a été jugée nécessaire du fait que les Fusarium et d'autres NDF sont peu ou pas sensibles aux traitements oraux standards à la terbinafine et à Γ itraconazole. Projet 2. Une PCR nichée couplée au séquençage d'un fragment de l'ADN ribosomal 28S a été développée afin de différencier les dermatophytes dans la peau et les cheveux. Cette méthode est particulièrement adaptée au cas de tinea capitis, où l'identification du dermatophyte est essentielle afin de prescrire le traitement adéquat. Le problème de l'identification du pathogène fongique dans les cheveux et la peau diffère des onychomycoses car de petites quantités sont prélevées chez les patients, peu d'éléments fongiques sont présents et il faut discriminer un dermatophyte parmi une douzaine d'espèces potentielles. Projet 3. Au laboratoire de Mycologie du CHUV, les Fusarium ont été isolé dans les ongles à une fréquence de 15% pour la période 2005-2012. Le but de ce travail était d'examiner si l'utilisation intensive de terbinafine et d'itraconazole pouvait être une des causes de la forte incidence des infections des ongles par Fusarium. A cet effet, deux méthodes ont été utilisées pour détecter à la fois Fusarium spp. et Trichophyton spp., la PCR spécifique et le TRFLP. Indépendamment de la méthode choisie, il en résulte que la prévalence des Fusarium η'apparaît pas liée à un traitement au préalable des patients avec de la terbinafine ou des azoles, thérapies très efficaces contre les Trichophyton spp. dans les ongles. De plus, il existe de nombreux cas où Fusarium était détecté chez des patients non traités.

Machine learning for geospatial data : algorithms, software tools and case studies

Résumé Cette thèse est consacrée à l'analyse, la modélisation et la visualisation de données environnementales à référence spatiale à l'aide d'algorithmes d'apprentissage automatique (Machine Learning). L'apprentissage automatique peut être considéré au sens large comme une sous-catégorie de l'intelligence artificielle qui concerne particulièrement le développement de techniques et d'algorithmes permettant à une machine d'apprendre à partir de données. Dans cette thèse, les algorithmes d'apprentissage automatique sont adaptés pour être appliqués à des données environnementales et à la prédiction spatiale. Pourquoi l'apprentissage automatique ? Parce que la majorité des algorithmes d'apprentissage automatiques sont universels, adaptatifs, non-linéaires, robustes et efficaces pour la modélisation. Ils peuvent résoudre des problèmes de classification, de régression et de modélisation de densité de probabilités dans des espaces à haute dimension, composés de variables informatives spatialisées (« géo-features ») en plus des coordonnées géographiques. De plus, ils sont idéaux pour être implémentés en tant qu'outils d'aide à la décision pour des questions environnementales allant de la reconnaissance de pattern à la modélisation et la prédiction en passant par la cartographie automatique. Leur efficacité est comparable au modèles géostatistiques dans l'espace des coordonnées géographiques, mais ils sont indispensables pour des données à hautes dimensions incluant des géo-features. Les algorithmes d'apprentissage automatique les plus importants et les plus populaires sont présentés théoriquement et implémentés sous forme de logiciels pour les sciences environnementales. Les principaux algorithmes décrits sont le Perceptron multicouches (MultiLayer Perceptron, MLP) - l'algorithme le plus connu dans l'intelligence artificielle, le réseau de neurones de régression généralisée (General Regression Neural Networks, GRNN), le réseau de neurones probabiliste (Probabilistic Neural Networks, PNN), les cartes auto-organisées (SelfOrganized Maps, SOM), les modèles à mixture Gaussiennes (Gaussian Mixture Models, GMM), les réseaux à fonctions de base radiales (Radial Basis Functions Networks, RBF) et les réseaux à mixture de densité (Mixture Density Networks, MDN). Cette gamme d'algorithmes permet de couvrir des tâches variées telle que la classification, la régression ou l'estimation de densité de probabilité. L'analyse exploratoire des données (Exploratory Data Analysis, EDA) est le premier pas de toute analyse de données. Dans cette thèse les concepts d'analyse exploratoire de données spatiales (Exploratory Spatial Data Analysis, ESDA) sont traités selon l'approche traditionnelle de la géostatistique avec la variographie expérimentale et selon les principes de l'apprentissage automatique. La variographie expérimentale, qui étudie les relations entre pairs de points, est un outil de base pour l'analyse géostatistique de corrélations spatiales anisotropiques qui permet de détecter la présence de patterns spatiaux descriptible par une statistique. L'approche de l'apprentissage automatique pour l'ESDA est présentée à travers l'application de la méthode des k plus proches voisins qui est très simple et possède d'excellentes qualités d'interprétation et de visualisation. Une part importante de la thèse traite de sujets d'actualité comme la cartographie automatique de données spatiales. Le réseau de neurones de régression généralisée est proposé pour résoudre cette tâche efficacement. Les performances du GRNN sont démontrées par des données de Comparaison d'Interpolation Spatiale (SIC) de 2004 pour lesquelles le GRNN bat significativement toutes les autres méthodes, particulièrement lors de situations d'urgence. La thèse est composée de quatre chapitres : théorie, applications, outils logiciels et des exemples guidés. Une partie importante du travail consiste en une collection de logiciels : Machine Learning Office. Cette collection de logiciels a été développée durant les 15 dernières années et a été utilisée pour l'enseignement de nombreux cours, dont des workshops internationaux en Chine, France, Italie, Irlande et Suisse ainsi que dans des projets de recherche fondamentaux et appliqués. Les cas d'études considérés couvrent un vaste spectre de problèmes géoenvironnementaux réels à basse et haute dimensionnalité, tels que la pollution de l'air, du sol et de l'eau par des produits radioactifs et des métaux lourds, la classification de types de sols et d'unités hydrogéologiques, la cartographie des incertitudes pour l'aide à la décision et l'estimation de risques naturels (glissements de terrain, avalanches). Des outils complémentaires pour l'analyse exploratoire des données et la visualisation ont également été développés en prenant soin de créer une interface conviviale et facile à l'utilisation. Machine Learning for geospatial data: algorithms, software tools and case studies Abstract The thesis is devoted to the analysis, modeling and visualisation of spatial environmental data using machine learning algorithms. In a broad sense machine learning can be considered as a subfield of artificial intelligence. It mainly concerns with the development of techniques and algorithms that allow computers to learn from data. In this thesis machine learning algorithms are adapted to learn from spatial environmental data and to make spatial predictions. Why machine learning? In few words most of machine learning algorithms are universal, adaptive, nonlinear, robust and efficient modeling tools. They can find solutions for the classification, regression, and probability density modeling problems in high-dimensional geo-feature spaces, composed of geographical space and additional relevant spatially referenced features. They are well-suited to be implemented as predictive engines in decision support systems, for the purposes of environmental data mining including pattern recognition, modeling and predictions as well as automatic data mapping. They have competitive efficiency to the geostatistical models in low dimensional geographical spaces but are indispensable in high-dimensional geo-feature spaces. The most important and popular machine learning algorithms and models interesting for geo- and environmental sciences are presented in details: from theoretical description of the concepts to the software implementation. The main algorithms and models considered are the following: multi-layer perceptron (a workhorse of machine learning), general regression neural networks, probabilistic neural networks, self-organising (Kohonen) maps, Gaussian mixture models, radial basis functions networks, mixture density networks. This set of models covers machine learning tasks such as classification, regression, and density estimation. Exploratory data analysis (EDA) is initial and very important part of data analysis. In this thesis the concepts of exploratory spatial data analysis (ESDA) is considered using both traditional geostatistical approach such as_experimental variography and machine learning. Experimental variography is a basic tool for geostatistical analysis of anisotropic spatial correlations which helps to understand the presence of spatial patterns, at least described by two-point statistics. A machine learning approach for ESDA is presented by applying the k-nearest neighbors (k-NN) method which is simple and has very good interpretation and visualization properties. Important part of the thesis deals with a hot topic of nowadays, namely, an automatic mapping of geospatial data. General regression neural networks (GRNN) is proposed as efficient model to solve this task. Performance of the GRNN model is demonstrated on Spatial Interpolation Comparison (SIC) 2004 data where GRNN model significantly outperformed all other approaches, especially in case of emergency conditions. The thesis consists of four chapters and has the following structure: theory, applications, software tools, and how-to-do-it examples. An important part of the work is a collection of software tools - Machine Learning Office. Machine Learning Office tools were developed during last 15 years and was used both for many teaching courses, including international workshops in China, France, Italy, Ireland, Switzerland and for realizing fundamental and applied research projects. Case studies considered cover wide spectrum of the real-life low and high-dimensional geo- and environmental problems, such as air, soil and water pollution by radionuclides and heavy metals, soil types and hydro-geological units classification, decision-oriented mapping with uncertainties, natural hazards (landslides, avalanches) assessments and susceptibility mapping. Complementary tools useful for the exploratory data analysis and visualisation were developed as well. The software is user friendly and easy to use.

An Epistemic Argument in Support of Liberal Neutrality

My aim in the present paper is to develop a new kind of argument in support of the ideal of liberal neutrality. This argument combines some basic moral principles with a thesis about the relationship between the correct standards of justification for a belief/action and certain contextual factors. The idea is that the level of importance of what is at stake in a specific context of action determines how demanding the correct standards to justify an action based on a specific set of beliefs ought to be. In certain exceptional contexts –where the seriousness of harm in case of mistake and the level of an agent’s responsibility for the outcome of his action are specially high– a very small probability of making a mistake should be recognized as a good reason to avoid to act based on beliefs that we nonetheless affirm with a high degree of confidence and that actually justify our action in other contexts. The further steps of the argument consist in probing 1) that the fundamental state’s policies are such a case of exceptional context, 2) that perfectionist policies are the type of actions we should avoid, and 3) that policies that satisfy neutral standards of justification are not affected by the reasons which lead to reject perfectionist policies.

The effect of salinization in maintenance of intermittent catheter

O uso de cateter intermitente representa um procedimento muito utilizado em ambiente hospitalar. Este estudo, de natureza experimental, teve como propósito a análise comparativa entre o cateter intermitente, preenchido com solução de heparina 100 U/ml e o preenchido com soro fisiológico 0,9%. Foi realizado um estudo comparativo, avaliando a formação de coágulos e se estes estivessem presentes seriam quantificados. Para tanto, foram utilizados quatro grupos de 7 coelhos, da linhagem Norfolk, sendo realizado acesso venoso em veia auricular conectado ao dispositivo de infusão múltipla. em dois destes grupos, foi usada solução salina; em um grupo, caso fosse encontrada resistência, esta seria forçada; no outro, esta resistência não seria forçada. Nos dois outros grupos, foi usada solução de heparina; em um grupo, caso fosse encontrada resistência, esta seria forçada; no outro esta resistência não seria forçada. O cateter intermitente foi mantido por 72 horas e, a cada 12 horas foi infundida água destilada, simulando a administração de medicamento. Durante o experimento foram observadas as seguintes variáveis: presença da formação de coágulos, comprimento do coágulo, peso fresco do coágulo, peso seco do coágulo, contagem plaquetária e desconforto. Na análise estatística feita pelo método não paramétrico Kruskal-Wallis, com nível de significância de sigma = 5%, não foi encontrada diferença significativa entre os grupos e momentos. Pôde-se constatar a presença de formação de coágulo em todos os grupos independentemente da solução de preenchimento. Concluímos, principalmente, que há necessidade de elaboração de novas normas e rotinas na utilização de cateter intermitente.

Numerical and analytical vibro-acoustic modelling of porous materials: the Cell Method for poroelasticity and the case of inclusions

Porous materials are widely used in many fields of industrial applications, to achieve the requirements of noise reduction, that nowadays derive from strict regulations. The modeling of porous materials is still a problematic issue. Numerical simulations are often problematic in case of real complex geometries, especially in terms of computational times and convergence. At the same time, analytical models, even if partly limited by restrictive simplificative hypotheses, represent a powerful instrument to capture quickly the physics of the problem and general trends. In this context, a recently developed numerical method, called the Cell Method, is described, is presented in the case of the Biot's theory and applied for representative cases. The peculiarity of the Cell Method is that it allows for a direct algebraic and geometrical discretization of the field equations, without any reduction to a weak integral form. Then, the second part of the thesis presents the case of interaction between two poroelastic materials under the context of double porosity. The idea of using periodically repeated inclusions of a second porous material into a layer composed by an original material is described. In particular, the problem is addressed considering the efficiency of the analytical method. A analytical procedure for the simulation of heterogeneous layers based is described and validated considering both conditions of absorption and transmission; a comparison with the available numerical methods is performed. ---------------- I materiali porosi sono ampiamente utilizzati per diverse applicazioni industriali, al fine di raggiungere gli obiettivi di riduzione del rumore, che sono resi impegnativi da norme al giorno d'oggi sempre più stringenti. La modellazione dei materiali porori per applicazioni vibro-acustiche rapprensenta un aspetto di una certa complessità. Le simulazioni numeriche sono spesso problematiche quando siano coinvolte geometrie di pezzi reali, in particolare riguardo i tempi computazionali e la convergenza. Allo stesso tempo, i modelli analitici, anche se parzialmente limitati a causa di ipotesi semplificative che ne restringono l'ambito di utilizzo, rappresentano uno strumento molto utile per comprendere rapidamente la fisica del problema e individuare tendenze generali. In questo contesto, un metodo numerico recentemente sviluppato, il Metodo delle Celle, viene descritto, implementato nel caso della teoria di Biot per la poroelasticità e applicato a casi rappresentativi. La peculiarità del Metodo delle Celle consiste nella discretizzazione diretta algebrica e geometrica delle equazioni di campo, senza alcuna riduzione a forme integrali deboli. Successivamente, nella seconda parte della tesi viene presentato il caso delle interazioni tra due materiali poroelastici a contatto, nel contesto dei materiali a doppia porosità. Viene descritta l'idea di utilizzare inclusioni periodicamente ripetute di un secondo materiale poroso all'interno di un layer a sua volta poroso. In particolare, il problema è studiando il metodo analitico e la sua efficienza. Una procedura analitica per il calcolo di strati eterogenei di materiale viene descritta e validata considerando sia condizioni di assorbimento, sia di trasmissione; viene effettuata una comparazione con i metodi numerici a disposizione.

A case of homicidal intraoral gunshot and review of the literature

Determination of the manner of death in case of intraoral firearm wounds can be a challenge, especially if the circumstances of the incident are unclear and crime scene investigation is inadequate. It is a well-known fact that the mouth is one of the selected sites for suicide with firearms. Homicidal shooting through the mouth is said to be rare, but does occur, and can be mistaken for a suicide. For discrimination between suicide and homicide in cases of intraoral firearm wounds, some useful points are the site of entry wound, the direction of the internal bullet path, the range of fire and the circumstances of death. We demonstrate these points in a case of a homicidal gunshot to the mouth assessed by both classical autopsy and post-mortem CT (PMCT).