The networking of control devices is well advanced in a modern automobile. To ensure secure communications with each other and to prevent mistakes due to communication error, protocol tests are performed at the physical and data link layer level. In a modern car the diagnosis of the electronic devices (e.g. reading/deleting fault memory entries) is done with a standardized communication protocol (UDS - Unified Diagnostic Services). Modern control units have this diagnostic capabilities to detect this communication error among others. This data is provided for a guided troubleshooting the vehicle via a defined interface. In this communication test detection mechanisms are specifically stimulated and read afterwards. In order to read or delete these entries, a diagnosis query is performed on the basis of the diagnostic protocol UDS. The diagnostic requests are currently performed with a diagnostic service of bus analysis software Vector CANoe. This service requests can be performed directly on CAN but for the diagnosis of other bus systems a software gateway is used. The maintenance required and the error rate of the software gateways is very high and should be replaced in the future. Furthermore, additional bus systems can be integrated only with great effort. Therfore the main aim of the master thesis was to develop a concept for univesal UDS API and afterwards implementation of that concept using CAPL programming for modular use in test environments for vehicle communication testing.

La grippe est une infection respiratoire responsable de complications respiratoires ou neurologiques nécessitant une prise en charge rapide et adaptée. L’émergence des technologies de séquençage à haut débit (NGS) permet l’étude des communautés microbiennes résidentes ainsi qu’une étude approfondie du génome des pathogènes impliqués. Cette thèse a pour objectif de caractériser le microbiome respiratoire et la diversité génomique virale des patients infectés par les virus grippaux, en corrélant les données clinicobiologiques recueillies. Après recueil des prélèvements respiratoires d’enfants hospitalisés entre 2010 et 2014, le séquençage de leur microbiome respiratoire a mis en évidence une augmentation de la diversité microbienne ainsi qu’une signature microbienne différentielle entre formes cliniques. Une répartition différentielle de taxons (OTU) permet la prédiction de complications chez les enfants infectés. L’étude d’échantillons respiratoires de patients adultes permettra de compléter la signature prédictive. Après validation des processus analytiques et bioinformatiques par reconstitution artificielles de quasi espèces et recueil de 125 prélèvements cliniques respiratoires, le séquençage du génome entier par NGS des virus grippaux permet de différencier les diversités initiales en fonction de la nature du virus infectant et de la complication. En comparaison du prélèvement initial précoce les échantillons prélevés successivement mettent en évidence une diversification différentielle entre les différents segments des virus grippaux infectant les patients, que ce soit chez les patients immunocompétents ou chez un patient immunodéprimé à l’excrétion prolongé / Influenza is a respiratory infection responsible for respiratory or neurological complications and require rapid and adapted management. The emergence of next-generation sequencing (NGS) allows the study of resident microbial communities as well as an in-depth study of the genome of the pathogens. This thesis aimed to characterize the respiratory microbiome and the viral genomic diversity of influenza virus infected patients, correlating these data to the collected clinical data. After sampling of respiratory specimens from hospitalized children between 2010 and 2014, the sequencing of their respiratory microbiome revealed an increase in microbial diversity and a differential microbial signature between clinical forms. A differential taxon distribution (OTU) allows the prediction of complications in infected children. The study of adult respiratory samples will complete the predictive signature.After validation of the analytical and bioinformatic processes by artificial reconstitution of quasi-species and collection of 125 respiratory clinical specimens, the sequencing of the whole genome by NGS of the influenza viruses allow to differentiate the initial diversities according to the nature of the infecting virus and the complication. Compared to early samples, specimen sampled successively show a differential diversification between the different segments of influenza viruses, whether in immunocompetent patients or in an immunocompromised patient with prolonged excretion

Background: Measurement of carbon monoxide in expired air samples (ECO) is a non-invasive, cost-effective biochemical marker for smoking. Cut points of 6. ppm-10. ppm have been established, though appropriate cut-points for pregnant woman have been debated due to metabolic changes. This study assessed whether an ECO cut-point identifying at least 90% of pregnant smokers, and misidentifying fewer than 10% of non-smokers, could be established. Methods: Pregnant women (N=167) completed a validated self-report smoking assessment, a urine drug screen for cotinine (UDS), and provided an expired air sample twice during pregnancy. Results: Half of women reported non-smoking status early (51%) and late (53%) in pregnancy, confirmed by UDS. Using a traditional 8. ppm. +. cut-point for the early pregnancy reading, only 1% of non-smokers were incorrectly identified as smokers, but only 56% of all smokers, and 67% who smoked 5. + cigarettes in the previous 24. h, were identified. However, at 4. ppm. +, only 8% of non-smokers were misclassified as smokers, and 90% of all smokers and 96% who smoked 5. + cigarettes in the previous 24. h were identified. False positives were explained by heavy second hand smoke exposure and marijuana use. Results were similar for late pregnancy ECO, with ROC analysis revealing an area under the curve of 95 for early pregnancy, and 94 for late pregnancy readings. Conclusions: A lower 4. ppm ECO cut-point may be necessary to identify pregnant smokers using expired air samples, and this cut-point appears valid throughout pregnancy. Work is ongoing to validate findings in larger samples, but it appears if an appropriate cut-point is used, ECO is a valid method for determining smoking status in pregnancy.

Background: Measurement of carbon monoxide in expired air samples (ECO) is a non-invasive, cost-effective biochemical marker for smoking. Cut points of 6. ppm-10. ppm have been established, though appropriate cut-points for pregnant woman have been debated due to metabolic changes. This study assessed whether an ECO cut-point identifying at least 90% of pregnant smokers, and misidentifying fewer than 10% of non-smokers, could be established. Methods: Pregnant women (N=167) completed a validated self-report smoking assessment, a urine drug screen for cotinine (UDS), and provided an expired air sample twice during pregnancy. Results: Half of women reported non-smoking status early (51%) and late (53%) in pregnancy, confirmed by UDS. Using a traditional 8. ppm. +. cut-point for the early pregnancy reading, only 1% of non-smokers were incorrectly identified as smokers, but only 56% of all smokers, and 67% who smoked 5. + cigarettes in the previous 24. h, were identified. However, at 4. ppm. +, only 8% of non-smokers were misclassified as smokers, and 90% of all smokers and 96% who smoked 5. + cigarettes in the previous 24. h were identified. False positives were explained by heavy second hand smoke exposure and marijuana use. Results were similar for late pregnancy ECO, with ROC analysis revealing an area under the curve of 95 for early pregnancy, and 94 for late pregnancy readings. Conclusions: A lower 4. ppm ECO cut-point may be necessary to identify pregnant smokers using expired air samples, and this cut-point appears valid throughout pregnancy. Work is ongoing to validate findings in larger samples, but it appears if an appropriate cut-point is used, ECO is a valid method for determining smoking status in pregnancy.

The aim of this thesis project is to explore a network traffic regulator using bandwidth management techniques that regulates data traffic with the objective to use the network bandwidth to its maximum capacity while ensuring that the network is not overloaded. The bandwidth in the existing network architecture is shared between two co-existing, distinct data flows for on-board communication and diagnostic communication in an in-vehicle network. The diagnostic communication must not interfere with the more critical on-board communication and it should comply with the remaining bandwidth. In the existing solution, fixed delays are imposed on the data traffic which result in a waste of network capacity. The approach presented in this thesis uses two regulation algorithms for different types of diagnostic services. One regulation algorithm is activated for diagnostic services that require data segmentation and multiple data frames to accommodate the transferred data. This algorithm makes use of the Flow Control parameter Separation Time specified in ISO 15765-1:2011 "Road vehicles -- Diagnostic communication over Controller Area Network (DoCAN)". The other algorithm regulates diagnostic services that generate bursts of single frames where data segmentation is not required and it does so using traffic shaping techniques. The results in this thesis show that the network traffic indeed can be regulated for different diagnostic services by using the two mentioned regulation algorithms. The results also show that data is not lost due to high network utilisation and that the bandwidth is used to its maximum capacity without having to impose fixed delays on the network system. The regulator is adaptive in the sense that it can be used for different vehicle configurations with compatible network systems to ensure quality of service and a robust network system. / I detta examensarbete är målet att utforska en metod för att reglera  nätverkstrafik genom att använda tekniker inom bandbreddshantering  med syfte att utnyttja bandbredden till dess maximala kapacitet utan att överbelasta nätverket. Bandbredden i den nuvarande nätverksarkitekturen delas mellan två dataflöden för onboard kommunikation och diagnostisk kommunikation. Den diagnostiska kommunikationen får inte på någotvis störa onboard kommunkationen och får anpassa sig till den bandbredd som kvarstår. I det existerande systemet införs fixa fördröjningar i nätverkstrafiken vilket medför ett onödigt slöseri på nätverkskapaciteten och som också medför att de diagnostiska tjänsterna tar längre tid att utföra.  Tillvägagångssättet som presenteras i detta arbete använder två regleringsalgoritmer för olika typer av diagnostiska tjänster. En algoritm används för tjänster som kräver datasegmentering och flera dataramar för att skicka data. Den här algoritmen använder parametern Separation Time som är specificerad i ISO standarden 15765-1:2011 "Road vehicles -- Diagnostic communication over Controller Area Network (DoCAN)". Diagnostiska tjänster som istället genererar en skur av enstaka dataramar regleras med en traffic shaping algoritm som heter Token Bucket. Resultaten i detta arbete visar att det går att reglera nätverkstrafiken för olika typer av diagnostiska tjänster genom att använda de två utvecklade algoritmerna. Resultaten visar också att data inte går förlorat vid höga nätverkslaster och att bandbredden används maximalt utan att behöva införa fixa fördröjningar i nätverkssystemet. Regleraren är adaptiv i bemärkelsen att den kan användas för alla tänkbara fordonskonfigurationer med kompatibelt nätverkssystem för att försäkra quality of service och robusthet.

Revision of the author's thesis (Ph. D.)--Birkbeck College, 1990. / Includes bibliographical references (p. [163]-173) and index.

Univerzita Karlova v Praze Filosofická fakulta katedra estetiky Diploma thesis Šimon Svěrák Situation of the Surrealist Subject (abstract) 2012 thesis supervisor: prof. PhDr. Vlastimil Zuska, CSc. Abstract This thesis focuses on the situation of a substantial subject in the historical development of the surrealist experience and confronts it with our original postmodern interpretation of thoughts of early Marx. The surrealist consciousness is based on a dialectical opposition between rational and irrational elements of cognitive processes. André Breton apprehends this dialectics under the perspective of love life and relates it to values of love, freedom and poetry. Nevertheless, this conception changes in the immanent development of the surrealist consciousness from Breton over the work and thoughts Salvador Dalí and Mikuláš Medek to Vratislav Effenberger. Effenberger removes positive values from surrealism and puts emphasis on the critical functions of the irrational. On the psychological field, all these ideas are based on the conception of the unconscious which means there is the substantial approach in them. Our critical interpretation of Marx shows, that the surrealist concept of subject is in the contradiction with its substantial determination. The subject has to be perceived as the essential...

Indiana University-Purdue University Indianapolis (IUPUI) / Oral health is crucial to overall health and a focus of the U.S. Health Center program, which provides preventive dental services in medically underserved communities. Dental hygiene is an oral health profession whose practice is focused on dental disease prevention and oral health promotion. Variations in the practice and regulation of dental hygiene has been demonstrated to influence access to dental care at a state level; restrictive policies are associated lower rates of access to care. Understanding whether and to what extent policy variations affect availability and access to dental care and the oral health of medically underserved communities served by grantees of the U.S. Health Center program is the focus of this study. This longitudinal study examines dental service utilization at 1,135 health center grantees that received community health center funding from 2004 to 2011. The Dental Hygiene Professional Practice Index (DHPPI) was used as an indicator of the state policy environment. The influence of grantee and state level characteristics are also considered. Mixed effects models were used to account for correlations introduced by the multiple hierarchical structure of the data. Key findings of this study demonstrate that state policy environment is a predictor of the availability and access to dental care and the oral health status of medically underserved communities that received care at a grantee of the U.S. Health Center program. Grantees located in states with highly restrictive policy environments were 73% less likely to deliver dental services and, those that do, provided care to 7% fewer patients than those grantees located in states with the most supportive policy environments. Population’s served by grantees from the most restrictive states received less preventive care and had greater restorative and emergency dental care needs. State policy environment is a predictor of availability and access to dental care and the oral health status of medically underserved communities. This study has important implications for policy at the federal, state, and local levels. Findings demonstrate the need for policy and advocacy efforts at all levels, especially within states with restrictive policy environments.