Advanced schemes for surface plasmon resonance and plasmon-enhanced fluorescence biosensors

Advanced optical biosensor platforms exploiting long range surface plasmons (LRSPs) and responsive N-isopropylacrylamide (NIPAAm) hydrogel binding matrix for the detection of protein and bacterial pathogen analytes were carried out. LRSPs are optical waves that originate from coupling of surface plasmons on the opposite sites of a thin metallic film embedded between two dielectrics with similar refractive indices. LRSPs exhibit orders of magnitude lower damping and more extended profile of field compared to regular surface plasmons (SPs). Their excitation is accompanied with narrow resonance and provides stronger enhancement of electromagnetic field intensity that can advance the sensitivity of surface plasmon resonance (SPR) and surface plasmon-enhanced fluorescence spectroscopy (SPFS) biosensors. Firstly, we investigated thin gold layers deposited on fluoropolymer surface for the excitation of LRSPs. The study indicates that the morphological, optical and electrical properties of gold film can be changed by the surface energy of fluoropolymer and affect the performance of a SPFS biosensor. A photo-crosslinkable NIPAAm hydrogel was grafted to the sensor surface in order to serve as a binding matrix. It was modified with bio-recognition elements (BREs) via amine coupling chemistry and offered the advantage of large binding capacity, stimuli responsive properties and good biocompatibility. Through experimental observations supported by numerical simulations describing diffusion mass transfer and affinity binding of target molecules in the hydrogel, the hydrogel binding matrix thickness, concentration of BREs and the profile of the probing evanescent field was optimized. Hydrogel with a up to micrometer thickness was shown to support additional hydrogel optical waveguide (HOW) mode which was employed for probing affinity binding events in the gel by means of refractometric and fluorescence measurements. These schemes allow to reach limits of detection (LODs) at picomolar and femtomolar levels, respectively. Besides hydrogel based experiments for detection of molecular analytes, long range surface plasmon-enhanced fluorescence spectroscopy (LRSP-FS) was employed for detection of bacterial pathogens. The influence of capture efficiency of bacteria on surfaces and the profile of the probing field on sensor response were investigated. The potential of LRSP-FS with extended evanescent field is demonstrated for detection of pathogenic E. coli O157:H7 on sandwich immunoassays . LOD as low as 6 cfu mL-1 with a detection time of 40 minutes was achieved.rn

Shape memory and elastoplastic materials: from constitutive and numerical to fatigue modeling

Shape memory materials (SMMs) represent an important class of smart materials that have the ability to return from a deformed state to their original shape. Thanks to such a property, SMMs are utilized in a wide range of innovative applications. The increasing number of applications and the consequent involvement of industrial players in the field have motivated researchers to formulate constitutive models able to catch the complex behavior of these materials and to develop robust computational tools for design purposes. Such a research field is still under progress, especially in the prediction of shape memory polymer (SMP) behavior and of important effects characterizing shape memory alloy (SMA) applications. Moreover, the frequent use of shape memory and metallic materials in biomedical devices, particularly in cardiovascular stents, implanted in the human body and experiencing millions of in-vivo cycles by the blood pressure, clearly indicates the need for a deeper understanding of fatigue/fracture failure in microsize components. The development of reliable stent designs against fatigue is still an open subject in scientific literature. Motivated by the described framework, the thesis focuses on several research issues involving the advanced constitutive, numerical and fatigue modeling of elastoplastic and shape memory materials. Starting from the constitutive modeling, the thesis proposes to develop refined phenomenological models for reliable SMA and SMP behavior descriptions. Then, concerning the numerical modeling, the thesis proposes to implement the models into numerical software by developing implicit/explicit time-integration algorithms, to guarantee robust computational tools for practical purposes. The described modeling activities are completed by experimental investigations on SMA actuator springs and polyethylene polymers. Finally, regarding the fatigue modeling, the thesis proposes the introduction of a general computational approach for the fatigue-life assessment of a classical stent design, in order to exploit computer-based simulations to prevent failures and modify design, without testing numerous devices.

Expressionsunterschiede verschiedener miRNAs bei chronisch-entzündlichen Darmerkrankungen

Chronisch-entzündliche Darmerkrankungen konfrontieren unsere heutige Gesellschaft mit hohen Inzidenzraten in der westlichen Welt und zunehmend steigenden Inzidenzraten im asiatischen Raum. Die Folgen für die Patienten sind eine starke Beeinträchtigung der Lebensqualität, mit sozialen und wirtschaftlichen Folgen sowie ein erhöhtes Risiko für die Entwicklung kolorektaler Karzinome. Durch die Entdeckung von 22 nt langen, regulierenden RNAs, auch genannt miRNAs, wurde ein neuer Baustein im Verständnis zellulärer Regelprozesse und der Differenzierung und Aktivierung von Antworten etwa des Immunsystems entdeckt. Somit stellt sich die Frage nach der Bedeutung von miRNAs im Rahmen von chronisch-entzündlichen Darmerkrankungen. Hierzu wurden in dieser Arbeit über ein miRNA-Array System 12 miRNAs als potentiell relevante Ziele identifiziert und an einem Kollektiv aus insgesamt 131 Patienten und 163 Biopsien aus dem Bereich des Darmes überprüft. Es zeigte sich hierbei, dass im Rahmen eines Morbus Crohn mit Befall des Dickdarms die miRNAs let-7d und miR-22 in gesteigerter Expression vorlagen. Da im terminalen Ileum eine gesonderte Immunsituation vorliegt, wurde dieser Bereich zusätzlich bei der Erkrankung Morbus Crohn untersucht. Es zeigten sich Expressionsveränderungen für die miRNAs miR-30e, miR-185, miR-374b und miR-424. Bei Patienten mit einer Colitis ulcerosa waren die miRNAs let-7d, miR-185 und miR-424 in ihrem Expressionsverhalten verändert. Zusätzlich konnte gezeigt werden, dass in Abhängigkeit vom Entzündungsgrad bei bestehender Colitis ulcerosa eine zunehmenden Überexpression der miRNAs let-7d, miR-185 und miR-424 erfolgte. Die miRNAs miR-18a und miR-185 wiesen unter Remissionsbedingungen Expressionsveränderungen auf und lassen somit den Verdacht eines protektiven Effektes aufkommen. Mit Hilfe von computerbasierten Datenbankanalysen konnten gemeinsam regulierenden miRNAs Proteine und Pathways zugeordnet werden, welche einen Zusammenhang mit bereits pathogenetisch bestätigten Signalwegen wie etwa dem nF-ĸB und MAPK-Signalweg nahelegen. Auch konnte herausgearbeitet werden, dass einige, der von diesen miRNAs regulierten Proteine, bereits in veröffentlichten Arbeiten als fehlreguliert festgestellt wurden, jedoch blieb die Ursache dieser Fehlregulation gänzlich unbekannt. Mit den in dieser Arbeit erhobenen Daten konnte gezeigt werden, dass eine Kongruenz der Befunde vorliegt, welche einen Zusammenhang der miRNA-Expression mit der Fehlregulation bestimmter Proteine nicht nur nahelegt, sondern darüber hinaus auch noch einige weitere potentielle Proteinziele für weitere Untersuchungen aufführt. Dazu ist es jedoch notwendig, die Relevanz der hier entdeckten, computerbasierten Proteine in zukünftigen Untersuchungen einer genauen Prüfung zu unterziehen.

A daily perspective on work interruptions

Diese Dissertation basiert auf einem theoretischen Artikel und zwei empirischen Studien.rnrnDer theoretische Artikel: Es wird ein theoretisches Rahmenmodell postuliert, welches die Kumulierung von Arbeitsunterbrechung und deren Effekte untersucht. Die meisten bisherigen Studien haben Unterbrechungen als isoliertes Phänomen betrachtet und dabei unberücksichtigt gelassen, dass während eines typischen Arbeitstages mehrere Unterbrechungen gleichzeitig (oder aufeinanderfolgend) auftreten. In der vorliegenden Dissertation wird diese Lücke gefüllt, indem der Prozess der kumulierenden Unterbrechungen untersucht wird. Es wird beschrieben,rninwieweit die Kumulation von Unterbrechungen zu einer neuen Qualität vonrn(negativen) Effekten führt. Das Zusammenspiel und die gegenseitige Verstärkung einzelner Effekte werden dargestellt und moderierende und mediierende Faktoren aufgezeigt. Auf diese Weise ist es möglich, eine Verbindung zwischen kurzfristigen Effekten einzelner Unterbrechungen und Gesundheitsbeeinträchtigungen durch die Arbeitsbedingung ‚Unterbrechungen‘rnherzustellen.rnrnStudie 1: In dieser Studie wurde untersucht, inwieweit Unterbrechungen Leistung und Wohlbefinden einer Person innerhalb eines Arbeitstages beeinflussen. Es wurde postuliert, dass das Auftreten von Unterbrechungen die Zufriedenheit mit der eigenen Leistung vermindert und das Vergessen von Intentionen und das Irritationserleben verstärkt. Geistige Anforderung und Zeitdruck galten hierbei als Mediatoren. Um dies zu testen, wurden 133 Pflegekräften über 5 Tage hinweg mittels Smartphones befragt. Mehrebenenanalysen konnten die Haupteffekte bestätigen. Die vermuteten Mediationseffekte wurden für Irritation und (teilweise) für Zufriedenheit mit der Leistung bestätigt, nicht jedoch für Vergessen von Intentionen. Unterbrechungen führen demzufolge (u.a.) zu negativen Effekten, da sie kognitiv anspruchsvoll sind und Zeit beanspruchen.rnrnStudie 2: In dieser Studie wurden Zusammenhänge zwischen kognitiven Stressorenrn(Arbeitsunterbrechungen und Multitasking) und Beanspruchungsfolgen (Stimmung und Irritation) innerhalb eines Arbeitstages gemessen. Es wurde angenommen, dass diese Zusammenhänge durch chronologisches Alter und Indikatoren funktionalen Alters (Arbeitsgedächtniskapazität und Aufmerksamkeit) moderiert wird. Ältere mit schlechteren Aufmerksamkeitsund Arbeitsgedächtnisleistungen sollten am stärksten durch die untersuchten Stressoren beeinträchtigt werden. Es wurde eine Tagebuchstudie (siehe Studie 1) und computergestützternkognitive Leistungstests durchgeführt. Mehrebenenanalysen konnten die Haupteffekte für die abhängigen Variablen Stimmung (Valenz und Wachheit) und Irritation bestätigen, nicht jedoch für Erregung (Stimmung). Dreifachinteraktionen wurden nicht in der postulierten Richtung gefunden. Jüngere, nicht Ältere profitierten von einem hohen basalen kognitivenrnLeistungsvermögen. Ältere scheinen Copingstrategien zu besitzen, die mögliche kognitive Verluste ausgleichen. rnrnIm Allgemeinen konnten die (getesteten) Annahmen des theoretischen Rahmenmodellsrnbestätigt werden. Prinzipiell scheint es möglich, Ergebnisse der Laborforschung auf die Feldforschung zu übertragen, jedoch ist es notwendig die Besonderheiten des Feldes zu berücksichtigen. Die postulieren Mediationseffekte (Studie 1) wurden (teilweise) bestätigt. Die Ergebnisse weisen jedoch darauf hin, dass der volle Arbeitstag untersucht werden muss und dass sehr spezifische abhängige Variablen auch spezifischere Mediatoren benötigen. Des Weiteren konnte in Studie 2 bestätigt werden, dass die kognitive Kapazität eine bedeutsamernRessource im Umgang mit Unterbrechungen ist, im Arbeitskontext jedoch auch andere Ressourcen wirken.

A framework for cyber-physical system simulation

In these last years, systems engineering has became one of the major research domains. The complexity of systems has increased constantly and nowadays Cyber-Physical Systems (CPS) are a category of particular interest: these, are systems composed by a cyber part (computer-based algorithms) that monitor and control some physical processes. Their development and simulation are both complex due to the importance of the interaction between the cyber and the physical entities: there are a lot of models written in different languages that need to exchange information among each other. Normally people use an orchestrator that takes care of the simulation of the models and the exchange of informations. This orchestrator is developed manually and this is a tedious and long work. Our proposition is to achieve to generate the orchestrator automatically through the use of Co-Modeling, i.e. by modeling the coordination. Before achieving this ultimate goal, it is important to understand the mechanisms and de facto standards that could be used in a co-modeling framework. So, I studied the use of a technology employed for co-simulation in the industry: FMI. In order to better understand the FMI standard, I realized an automatic export, in the FMI format, of the models realized in an existing software for discrete modeling: TimeSquare. I also developed a simple physical model in the existing open source openmodelica tool. Later, I started to understand how works an orchestrator, developing a simple one: this will be useful in future to generate an orchestrator automatically.

Carbohydrate counting of food

Carbohydrate counting is a principal strategy in nutritional management of type 1 diabetes. The Nutri-Learn buffet (NLB) is a new computer-based tool for patient instruction in carbohydrate counting. It is based on food dummies made of plastic equipped with a microchip containing relevant food content data. The tool enables the dietician to assess the patient's food counting abilities and the patient to learn in a hands-on interactive manner to estimate food contents such as carbohydrate content.

A simple tool for stereological assessment of digital images: the STEPanizer

STEPanizer is an easy-to-use computer-based software tool for the stereological assessment of digitally captured images from all kinds of microscopical (LM, TEM, LSM) and macroscopical (radiology, tomography) imaging modalities. The program design focuses on providing the user a defined workflow adapted to most basic stereological tasks. The software is compact, that is user friendly without being bulky. STEPanizer comprises the creation of test systems, the appropriate display of digital images with superimposed test systems, a scaling facility, a counting module and an export function for the transfer of results to spreadsheet programs. Here we describe the major workflow of the tool illustrating the application on two examples from transmission electron microscopy and light microscopy, respectively.

A project-oriented course in probability and statistics for undergraduate electrical engineering students

An introductory course in probability and statistics for third-year and fourth-year electrical engineering students is described. The course is centered around several computer-based projects that are designed to achieve two objectives. First, the projects illustrate the course topics and provide hands-on experience for the students. The second and equally important objective of the projects is to convey the relevance and usefulness of probability and statistics to practical problems that undergraduate students can appreciate. The benefit of this course as to motivate electrical engineering students to excel in the study of probability concepts, instead of viewing the subject as one more course requirement toward graduation. The authors co-teach the course, and MATLAB is used for mast of the computer-based projects

[Osteoporosis - whom to treat? The importance of FRAX® in Switzerland]

The WHO fracture risk assessment tool FRAX® is a computer based algorithm that provides models for the assessment of fracture probability in men and women. The approach uses easily obtained clinical risk factors (CRFs) to estimate 10-year probability of a major osteoporotic fracture (hip, clinical spine, humerus or wrist fracture) and the 10-year probability of a hip fracture. The estimate can be used alone or with femoral neck bone mineral density (BMD) to enhance fracture risk prediction. FRAX® is the only risk engine which takes into account the hazard of death as well as that of fracture. Probability of fracture is calculated in men and women from age, body mass index, and dichotomized variables that comprise a prior fragility fracture, parental history of hip fracture, current tobacco smoking, ever long-term use of oral glucocorticoids, rheumatoid arthritis, other causes of secondary osteoporosis, daily alcohol consumption of 3 or more units daily. The relationship between risk factors and fracture probability was constructed using information of nine population-based cohorts from around the world. CRFs for fracture had been identified that provided independent information on fracture risk based on a series of meta-analyses. The FRAX® algorithm was validated in 11 independent cohorts with in excess of 1 million patient-years, including the Swiss SEMOF cohort. Since fracture risk varies markedly in different regions of the world, FRAX® models need to be calibrated to those countries where the epidemiology of fracture and death is known. Models are currently available for 31 countries across the world. The Swiss-specific FRAX® model was developed very soon after the first release of FRAX® in 2008 and was published in 2009, using Swiss epidemiological data, integrating fracture risk and death hazard of our country. Two FRAX®-based approaches may be used to explore intervention thresholds. They have recently been investigated in the Swiss setting. In the first approach the guideline that individuals with a fracture probability equal to or exceeding that of women with a prior fragility fracture should be considered for treatment is translated into thresholds using 10-year fracture probabilities. In that case the threshold is age-dependent and increases from 16 % at the age of 60 ys to 40 % at the age of 80 ys. The second approach is a cost-effectiveness approach. Using a FRAX®-based intervention threshold of 15 % for both, women and men 50 years and older, should permit cost-effective access to therapy to patients at high fracture probability in our country and thereby contribute to further reduce the growing burden of osteoporotic fractures.

Effective compression ratio-A new measurement of the quality of thorax compression during CPR

PURPOSE: Computer-based feedback systems for assessing the quality of cardiopulmonary resuscitation (CPR) are widely used these days. Recordings usually involve compression and ventilation dependent variables. Thorax compression depth, sufficient decompression and correct hand position are displayed but interpreted independently of one another. We aimed to generate a parameter, which represents all the combined relevant parameters of compression to provide a rapid assessment of the quality of chest compression-the effective compression ratio (ECR). METHODS: The following parameters were used to determine the ECR: compression depth, correct hand position, correct decompression and the proportion of time used for chest compressions compared to the total time spent on CPR. Based on the ERC guidelines, we calculated that guideline compliant CPR (30:2) has a minimum ECR of 0.79. To calculate the ECR, we expanded the previously described software solution. In order to demonstrate the usefulness of the new ECR-parameter, we first performed a PubMed search for studies that included correct compression and no-flow time, after which we calculated the new parameter, the ECR. RESULTS: The PubMed search revealed 9 trials. Calculated ECR values ranged between 0.03 (for basic life support [BLS] study, two helpers, no feedback) and 0.67 (BLS with feedback from the 6th minute). CONCLUSION: ECR enables rapid, meaningful assessment of CPR and simplifies the comparability of studies as well as the individual performance of trainees. The structure of the software solution allows it to be easily adapted to any manikin, CPR feedback devices and different resuscitation guidelines (e.g. ILCOR, ERC).

Investigating the Role of System Justification in Mental Illness Stigma

The current study integrates system justification theory with research on mental illness stigma. Stereotypes of both low- and high-status groups in society can be a means of satisfying the system justification motive, or the motive to view societal inequalities as justified (as reviewed in Jost, Banaji, & Nosek, 2004). Corrigan, Watson, and Ottati (2003) proposed that system justification theory may be able to explain the origins of particular stereotypes of people with mental illness, such as dangerousness and incompetence. The primary goal of the present study was to investigate whether the stigmatization of people with mental illness – a specific form of stigmatization of a lowstatus group – can be at least partially attributed to a broader motive to justify societal inequalities. To test this, the current study included both an experimental manipulation of the perceived legitimacy of the social system and a measure of system-justifying beliefs. Stigmatization of individuals with mental illness was measured with both explicit selfreport measures (semantic differentials and the Attribution Questionnaire) and an implicit measure (a computer-based Implicit Association Test). The relationships between participant characteristics, such as personal experience with mental illness, and stigma were also investigated. Consistent with past research demonstrating only modest correlations between explicit and implicit stigma, greater self-reported fear toward a person with a chronic mental illness was weakly associated with increased implicit bias against mental illness in favor of physical disability. There was little support for the involvement of system justification in explicit stigma. Participants with personal experience with mental illness were less likely to self-report fear and avoidance of a person with a chronic mental illness. These findings have implications for stigmareduction efforts.

Huntington's like conditions in China, A review of published Chinese cases

Background: Knowledge about HD in China is lacking in the international literature. We have therefore analyzed the Chinese literature to thoroughly explore the clinical characteristics of Huntington disease in China. Methods: A computer-based online search of China National Knowledge Infrastructure was performed to review case reports concerning HD published between January 1980 and April of 2011, and the clinical characteristics were extracted. Results: A total of 92 studies involving 279 patients (157 males and 122 females) were collected, 82.0% of which were from provinces of North China. Most of the cases (97.8%) had a family history of HD, and paternal inheritance (65.5%) was higher than maternal inheritance (34.5%). Onset age was 35.8 (± 11.8) years, death occurred with 45.6 (± 13.5) years after a course of 11.6 (± 5.6) years. Involuntary movements were the most frequent reported presentation (found in 52.3%, including 64.4% in the entire body, 19.8% in the upper limbs, and 13.7% in the head and face). Psychiatric symptoms at onset were reported in 16.1%, and cognitive impairment in 1.8%. With disease progression, 99.6% of patients had abnormal movements, 67.9% cognitive impairment, and 35.0% suffered psychiatric symptoms. Of the reported patients, only 22 underwent IT15 gene testing with positive results. Conclusion: HD is a well-reported entity in Chinese medical literature, however, only a small number of instances have been proven by molecular diagnosis. Most of the features resemble what is known in other countries. The highly predominant motor presentation, and the higher male prevalence as well as the apparent concentration in Northern China may be due to observational bias. There is therefore a need to prospectively examine cohorts of patients with appropriate comprehensive assessment tools including genetic testing.

Visual histological grading system for the evaluation of in vitro-generated neocartilage

Here we present the development of a visual evaluation system for routine assessment of in vitro-engineered cartilaginous tissue. Neocartilage was produced by culturing human articular chondrocytes in pellet culture systems or in a scaffold-free bioreactor system. All engineered tissues were embedded in paraffin and were sectioned and stained with Safranin O-fast green. The evaluation of each sample was broken into 3 categories (uniformity and intensity of Safranin O stain, distance between cells/amount of matrix produced, and cell morphology), and each category had 4 components with a score ranging from 0 to 3. Three observers evaluated each sample, and the new system was independently tested against an objective computer-based histomorphometry system. Pellets were also assessed biochemically for glycosaminoglycan (GAG) content. Pellet histology scores correlated significantly with GAG contents and were in agreement with the computer-based histomorphometry system. This system allows a valid and rapid assessment of in vitro-generated cartilaginous tissue that has a relevant association with objective parameters indicative of cartilage quality.

Facial affect recognition training in autism: can we animate the fusiform gyrus?

One of the most consistent findings in the neuroscience of autism is hypoactivation of the fusiform gyrus (FG) during face processing. In this study the authors examined whether successful facial affect recognition training is associated with an increased activation of the FG in autism. The effect of a computer-based program to teach facial affect identification was examined in 10 individuals with high-functioning autism. Blood oxygenation level-dependent (BOLD) functional magnetic resonance imaging (fMRI) changes in the FG and other regions of interest, as well as behavioral facial affect recognition measures, were assessed pre- and posttraining. No significant activation changes in the FG were observed. Trained participants showed behavioral improvements, which were accompanied by higher BOLD fMRI signals in the superior parietal lobule and maintained activation in the right medial occipital gyrus.