Synthese und Charakterisierung von zylindrischen Bürsten mit polypept(o)idischen Seitenketten als nanopartikuläre Trägersysteme

Zylindrische Polymerbürsten mit pept(o)idischen Seitenketten sind auf Grund ihrer elongierten Topologie, Bioverträglichkeit und hohen Dichte an funktionellen Gruppen vielversprechende Kandidaten für Anwendungen im Bereich des kontrollierten Wirkstoff- bzw. Gentransportes.In dieser Arbeit wurden Polylysin und Polysarkosin als Bestandteile der Seitenketten verwendet. Polylysin dient als positiv geladener Polypeptidblock für die Komplexierung von Polynukleotiden. Polysarkosin reduziert mit seinem „Stealth“-Effekt die Toxizität des Trägersystems und vermindert Wechselwirkungen mit dem Immunsystem. Über den „grafting from“-Ansatz und mit Hilfe der ringöffnenden NCA-Polymerisation konnten erstmals zylindrische Bürsten mit reinen Polysarkosin-Seitenketten sowie mit amphiphilen Seitenketten aus einem Polylysinkern und einer Polysarkosinschale hergestellt werden. Die Bürsten wurden mittels Lichtstreuung, GPC, CD-Spektroskopie und AFM charakterisiert. Die hohe Biokompatibilität beider Bürsten konnte durch Toxizitätstests und dynamische Lichtstreuung in humanem Blutserum nachgewiesen werden.Die Polysarkosin-Bürsten konnten zusätzlich an den Seitenkettenenden mit Azidgruppen funktionalisiert werden, welche eine effektive Biokonjugation ermöglichen. Die zylindrischen Bürsten zeigten nach ihrer Modifikation keine unspezifische Aufnahme in dendritische Zellen und könnten somit als Ausgangssubstanzen für die Synthese polymerbasierter Antikörper-Antigen-Konjugate in der Krebsimmuntherapie verwendet werden.Die Kern-Schale-Bürsten konnten erfolgreich mit siRNA komplexiert werden, ohne dass dabei eine Aggregation auftrat. In ersten Gen-Knockdown-Experimenten zeigten ihre Komplexe eine signifikante Verminderung der ApoB100-Proteinexpression in AML-12 Hepatozyten und könnten daher zukünftig als Transfektionsmittel in der Gentherapie ihren Einsatz finden.

Development, characterization, and application of flowing atmospheric-pressure afterglow ionization for mass spectrometric analysis of ambient organic aerosols

Addressing current limitations of state-of-the-art instrumentation in aerosol research, the aim of this work was to explore and assess the applicability of a novel soft ionization technique, namely flowing atmospheric-pressure afterglow (FAPA), for the mass spectrometric analysis of airborne particulate organic matter. Among other soft ionization methods, the FAPA ionization technique was developed in the last decade during the advent of ambient desorption/ionization mass spectrometry (ADI–MS). Based on a helium glow discharge plasma at atmospheric-pressure, excited helium species and primary reagent ions are generated which exit the discharge region through a capillary electrode, forming the so-called afterglow region where desorption and ionization of the analytes occurs. Commonly, fragmentation of the analytes during ionization is reported to occur only to a minimum extent, predominantly resulting in the formation of quasimolecular ions, i.e. [M+H]+ and [M–H]– in the positive and the negative ion mode, respectively. Thus, identification and detection of signals and their corresponding compounds is facilitated in the acquired mass spectra. The focus of the first part of this study lies on the application, characterization and assessment of FAPA–MS in the offline mode, i.e. desorption and ionization of the analytes from surfaces. Experiments in both positive and negative ion mode revealed ionization patterns for a variety of compound classes comprising alkanes, alcohols, aldehydes, ketones, carboxylic acids, organic peroxides, and alkaloids. Besides the always emphasized detection of quasimolecular ions, a broad range of signals for adducts and losses was found. Additionally, the capabilities and limitations of the technique were studied in three proof-of-principle applications. In general, the method showed to be best suited for polar analytes with high volatilities and low molecular weights, ideally containing nitrogen- and/or oxygen functionalities. However, for compounds with low vapor pressures, containing long carbon chains and/or high molecular weights, desorption and ionization is in direct competition with oxidation of the analytes, leading to the formation of adducts and oxidation products which impede a clear signal assignment in the acquired mass spectra. Nonetheless, FAPA–MS showed to be capable of detecting and identifying common limonene oxidation products in secondary OA (SOA) particles on a filter sample and, thus, is considered a suitable method for offline analysis of OA particles. In the second as well as the subsequent parts, FAPA–MS was applied online, i.e. for real time analysis of OA particles suspended in air. Therefore, the acronym AeroFAPA–MS (i.e. Aerosol FAPA–MS) was chosen to refer to this method. After optimization and characterization, the method was used to measure a range of model compounds and to evaluate typical ionization patterns in the positive and the negative ion mode. In addition, results from laboratory studies as well as from a field campaign in Central Europe (F–BEACh 2014) are presented and discussed. During the F–BEACh campaign AeroFAPA–MS was used in combination with complementary MS techniques, giving a comprehensive characterization of the sampled OA particles. For example, several common SOA marker compounds were identified in real time by MSn experiments, indicating that photochemically aged SOA particles were present during the campaign period. Moreover, AeroFAPA–MS was capable of detecting highly oxidized sulfur-containing compounds in the particle phase, presenting the first real-time measurements of this compound class. Further comparisons with data from other aerosol and gas-phase measurements suggest that both particulate sulfate as well as highly oxidized peroxyradicals in the gas phase might play a role during formation of these species. Besides applying AeroFAPA–MS for the analysis of aerosol particles, desorption processes of particles in the afterglow region were investigated in order to gain a more detailed understanding of the method. While during the previous measurements aerosol particles were pre-evaporated prior to AeroFAPA–MS analysis, in this part no external heat source was applied. Particle size distribution measurements before and after the AeroFAPA source revealed that only an interfacial layer of OA particles is desorbed and, thus, chemically characterized. For particles with initial diameters of 112 nm, desorption radii of 2.5–36.6 nm were found at discharge currents of 15–55 mA from these measurements. In addition, the method was applied for the analysis of laboratory-generated core-shell particles in a proof-of-principle study. As expected, predominantly compounds residing in the shell of the particles were desorbed and ionized with increasing probing depths, suggesting that AeroFAPA–MS might represent a promising technique for depth profiling of OA particles in future studies.

The role of the interplay between polymer architecture and bacterial surface properties on the microbial adhesion to polyoxazoline-based ultrathin films

Surface platforms were engineered from poly(L-lysine)-graft-poly(2-methyl-2-oxazoline) (PLL-g-PMOXA) copolymers to study the mechanisms involved in the non-specific adhesion of Escherichia coli (E. coli) bacteria. Copolymers with three different grafting densities (PMOXA chains/Lysine residue of 0.09, 0.33 and 0.56) were synthesized and assembled on niobia (Nb O ) surfaces. PLL-modified and bare niobia surfaces served as controls. To evaluate the impact of fimbriae expression on the bacterial adhesion, the surfaces were exposed to genetically engineered E. coli strains either lacking, or constitutively expressing type 1 fimbriae. The bacterial adhesion was strongly influenced by the presence of bacterial fimbriae. Non-fimbriated bacteria behaved like hard, charged particles whose adhesion was dependent on surface charge and ionic strength of the media. In contrast, bacteria expressing type 1 fimbriae adhered to the substrates independent of surface charge and ionic strength, and adhesion was mediated by non-specific van der Waals and hydrophobic interactions of the proteins at the fimbrial tip. Adsorbed polymer mass, average surface density of the PMOXA chains, and thickness of the copolymer films were quantified by optical waveguide lightmode spectroscopy (OWLS) and variable-angle spectroscopic ellipsometry (VASE), whereas the lateral homogeneity was probed by time-of-flight secondary ion mass spectrometry (ToF-SIMS). Streaming current measurements provided information on the charge formation of the polymer-coated and the bare niobia surfaces. The adhesion of both bacterial strains could be efficiently inhibited by the copolymer film only with a grafting density of 0.33 characterized by the highest PMOXA chain surface density and a surface potential close to zero.

The Mountain Research Initiative Reaches Outward and Clombs Upward

Mountain regions provide a multitude of goods and services for much of humanity (Price and Butt 2000; Becker and Bugmann 2001), especially in the realms of water supply, biodiversity, and other ecosystem services (Schimel et al 2002; Körner et al 2005; Viviroli et al 2007; Viviroli et al 2011). However, the future ability of mountain regions to provide goods and services to both highland and lowland residents is seriously threatened by climatic changes, environmental pollution, unsustainable management of natural resources, and serious gaps in understanding of mountain systems (Huber et al 2005). Disciplinary, interdisciplinary, and transdisciplinary research is required to maintain these goods and services in the face of these forces. The global mountain research community, however, has historically operated at a suboptimal level because of insufficient communication across geographic and linguistic barriers, less than desirable coordination of research frameworks, and a lack of funding.

Developing ICF Core Sets for persons with sleep disorders based on the International Classification of Functioning, Disability and Health

BACKGROUND: With the International Classification of Functioning, Disability and Health (ICF), we can now rely on a globally agreed-upon framework and system for classifying the typical spectrum of problems in the functioning of persons given the environmental context in which they live. ICF Core Sets are subgroups of ICF items selected to capture those aspects of functioning that are most likely to be affected by sleep disorders. OBJECTIVE: The objective of this paper is to outline the developmental process for the ICF Core Sets for Sleep. METHODS: The ICF Core Sets for Sleep will be defined at an ICF Core Sets Consensus Conference, which will integrate evidence from preliminary studies, namely (a) a systematic literature review regarding the outcomes used in clinical trials and observational studies, (b) focus groups with people in different regions of the world who have sleep disorders, (c) an expert survey with the involvement of international clinical experts, and (d) a cross-sectional study of people with sleep disorders in different regions of the world. CONCLUSION: The ICF Core Sets for Sleep are being designed with the goal of providing useful standards for research, clinical practice and teaching. It is hypothesized that the ICF Core Sets for Sleep will stimulate research that leads to an improved understanding of functioning, disability, and health in sleep medicine. It is of further hope that such research will lead to interventions and accommodations that improve the restoration and maintenance of functioning and minimize disability among people with sleep disorders throughout the world.

MODEL UPDATING AND STRUCTURAL HEALTH MONITORING OF HORIZONTAL AXIS WIND TURBINES VIA ADVANCED SPINNING FINITE ELEMENTS AND STOCHASTIC SUBSPACE IDENTIFICATION METHODS

Wind energy has been one of the most growing sectors of the nation’s renewable energy portfolio for the past decade, and the same tendency is being projected for the upcoming years given the aggressive governmental policies for the reduction of fossil fuel dependency. Great technological expectation and outstanding commercial penetration has shown the so called Horizontal Axis Wind Turbines (HAWT) technologies. Given its great acceptance, size evolution of wind turbines over time has increased exponentially. However, safety and economical concerns have emerged as a result of the newly design tendencies for massive scale wind turbine structures presenting high slenderness ratios and complex shapes, typically located in remote areas (e.g. offshore wind farms). In this regard, safety operation requires not only having first-hand information regarding actual structural dynamic conditions under aerodynamic action, but also a deep understanding of the environmental factors in which these multibody rotating structures operate. Given the cyclo-stochastic patterns of the wind loading exerting pressure on a HAWT, a probabilistic framework is appropriate to characterize the risk of failure in terms of resistance and serviceability conditions, at any given time. Furthermore, sources of uncertainty such as material imperfections, buffeting and flutter, aeroelastic damping, gyroscopic effects, turbulence, among others, have pleaded for the use of a more sophisticated mathematical framework that could properly handle all these sources of indetermination. The attainable modeling complexity that arises as a result of these characterizations demands a data-driven experimental validation methodology to calibrate and corroborate the model. For this aim, System Identification (SI) techniques offer a spectrum of well-established numerical methods appropriated for stationary, deterministic, and data-driven numerical schemes, capable of predicting actual dynamic states (eigenrealizations) of traditional time-invariant dynamic systems. As a consequence, it is proposed a modified data-driven SI metric based on the so called Subspace Realization Theory, now adapted for stochastic non-stationary and timevarying systems, as is the case of HAWT’s complex aerodynamics. Simultaneously, this investigation explores the characterization of the turbine loading and response envelopes for critical failure modes of the structural components the wind turbine is made of. In the long run, both aerodynamic framework (theoretical model) and system identification (experimental model) will be merged in a numerical engine formulated as a search algorithm for model updating, also known as Adaptive Simulated Annealing (ASA) process. This iterative engine is based on a set of function minimizations computed by a metric called Modal Assurance Criterion (MAC). In summary, the Thesis is composed of four major parts: (1) development of an analytical aerodynamic framework that predicts interacted wind-structure stochastic loads on wind turbine components; (2) development of a novel tapered-swept-corved Spinning Finite Element (SFE) that includes dampedgyroscopic effects and axial-flexural-torsional coupling; (3) a novel data-driven structural health monitoring (SHM) algorithm via stochastic subspace identification methods; and (4) a numerical search (optimization) engine based on ASA and MAC capable of updating the SFE aerodynamic model.

Age modeling of young non-varved lake sediments: methods and limits. Examples from two lakes in Central Chile

High-resolution and highly precise age models for recent lake sediments (last 100–150 years) are essential for quantitative paleoclimate research. These are particularly important for sedimentological and geochemical proxies, where transfer functions cannot be established and calibration must be based upon the relation of sedimentary records to instrumental data. High-precision dating for the calibration period is most critical as it determines directly the quality of the calibration statistics. Here, as an example, we compare radionuclide age models obtained on two high-elevation glacial lakes in the Central Chilean Andes (Laguna Negra: 33°38′S/70°08′W, 2,680 m a.s.l. and Laguna El Ocho: 34°02′S/70°19′W, 3,250 m a.s.l.). We show the different numerical models that produce accurate age-depth chronologies based on 210Pb profiles, and we explain how to obtain reduced age-error bars at the bottom part of the profiles, i.e., typically around the end of the 19th century. In order to constrain the age models, we propose a method with five steps: (i) sampling at irregularly-spaced intervals for 226Ra, 210Pb and 137Cs depending on the stratigraphy and microfacies, (ii) a systematic comparison of numerical models for the calculation of 210Pb-based age models: constant flux constant sedimentation (CFCS), constant initial concentration (CIC), constant rate of supply (CRS) and sediment isotope tomography (SIT), (iii) numerical constraining of the CRS and SIT models with the 137Cs chronomarker of AD 1964 and, (iv) step-wise cross-validation with independent diagnostic environmental stratigraphic markers of known age (e.g., volcanic ash layer, historical flood and earthquakes). In both examples, we also use airborne pollutants such as spheroidal carbonaceous particles (reflecting the history of fossil fuel emissions), excess atmospheric Cu deposition (reflecting the production history of a large local Cu mine), and turbidites related to historical earthquakes. Our results show that the SIT model constrained with the 137Cs AD 1964 peak performs best over the entire chronological profile (last 100–150 years) and yields the smallest standard deviations for the sediment ages. Such precision is critical for the calibration statistics, and ultimately, for the quality of the quantitative paleoclimate reconstruction. The systematic comparison of CRS and SIT models also helps to validate the robustness of the chronologies in different sections of the profile. Although surprisingly poorly known and under-explored in paleolimnological research, the SIT model has a great potential in paleoclimatological reconstructions based on lake sediments

Blattmeier

Technische Produktionssysteme und Prozesse - welcher Technologie auch immer - müssen den Bedürfnissen der industriellen Bauteilherstellung für Endanwendungen im Automobilbau entsprechen. Es stellt sich zunächst die Frage, auf welchem technologischen Reifegrad sich die generativen Technologien für den Automobilbau derzeit befinden? Welche außerordentlichen Vorteile können generative Prozessketten gegenüber konventionellen Herstellungsverfahren bieten und welche Hürden müssen genommen werden? Im Vordergrund der Untersuchung steht die Betrachtung von Pre-, In- und Post-Prozessen generativer wie auch konventioneller Produktionsverfahren. Bei der Gegenüberstellung der Prozessketten werden Maßstäbe angesetzt, die derzeit bei der Bauteilherstellung im Automobilbau Gültigkeit haben und auf Kriterien wie Effizienz, Reproduzierbarkeit und Kontrollierbarkeit aufbauen. Schließlich findet eine Einschätzung aus der Perspektive der Technologieintegration in derzeitige Produktionssysteme und Lieferketten statt. Es werden Restriktionen und Handlungsfelder von generativen Prozessen deutlich, die für den Einsatz für Endkunden-Bauteile im Fahrzeugbau behandelt werden müssen.

Technologische Reife von generativen Herstellungsverfahren für Endanwendungen im Automobilbau

Technische Produktionssysteme und Prozesse - welcher Technologie auch immer - müssen den Bedürfnissen der industriellen Bauteilherstellung für Endanwendungen im Automobilbau entsprechen. Es stellt sich zunächst die Frage, auf welchem technologischen Reifegrad sich die generativen Technologien für den Automobilbau derzeit befinden? Welche außerordentlichen Vorteile können generative Prozessketten gegenüber konventionellen Herstellungsverfahren bieten und welche Hürden müssen genommen werden? Im Vordergrund der Untersuchung steht die Betrachtung von Pre-, In- und Post-Prozessen generativer wie auch konventioneller Produktionsverfahren. Bei der Gegenüberstellung der Prozessketten werden Maßstäbe angesetzt, die derzeit bei der Bauteilherstellung im Automobilbau Gültigkeit haben und auf Kriterien wie Effizienz, Reproduzierbarkeit und Kontrollierbarkeit aufbauen. Schließlich findet eine Einschätzung aus der Perspektive der Technologieintegration in derzeitige Produktionssysteme und Lieferketten statt. Es werden Restriktionen und Handlungsfelder von generativen Prozessen deutlich, die für den Einsatz für Endkunden-Bauteile im Fahrzeugbau behandelt werden müssen.

Integrierte Sicherheitsmerkmale als Schutz vor Produktpiraterie im Maschinen- und Anlagenbau

Die Bedrohung durch Produktpiraterie wächst ständig, besonders der deutsche Maschinen- und Anlagenbau ist mehr und mehr davon betroffen. Um Komponenten und Ersatzteile zu schützen, wurde ein technisches Konzept zur Abwehr von Produktpiraterie entwickelt. In diesem System werden Teile mit kopiersicheren Echtheitsmerkmalen gekennzeichnet, welche an diversen Identifikations- und Prüfpunkten entlang der Supply-Chain und besonders beim Einsatz in der Maschine ausgelesen und geprüft werden. Die Prüfergebnisse werden in einer zentralen Datenbank gespeichert, um neue Services zu ermöglichen und die Kommunikation zwischen Hersteller und Kunde zu erleichtern.

Sudden death in a case of sickle cell anemia: post-mortem computed tomography and autopsy correlation from a radiologist's perspective

Sickle cell anemia (SCA) is a hemolytic disease characterized by the production of abnormal hemoglobin chains and distorted red blood cell morphology or sickling. "Sickle cell crisis" includes vaso-occlusive crisis, a plastic crisis, sequestration crisis, haemolytic crisis and often culminating in serious complications, organ damage and even sudden death. Post-mortem computed tomography (PMCT) findings of sickle cell disease have never been reported in literature. This case of sudden death from acute hemolytic crisis in SCA where post-mortem computed tomography (PMCT) and autopsy findings complemented each other, both revealing findings invisible to the other and both crucial to the case.

Ocean (De)oxygenation Across the Last Deglaciation: Insights for the Future

Anthropogenic warming is expected to drive oxygen out of the ocean as the water temperature rises and the rate of exchange between subsurface waters and the atmosphere slows due to enhanced upper ocean density stratification. Observations from recent decades are tantalizingly consistent with this prediction, though these changes remain subtle in the face of natural variability. Earth system model projections unanimously predict a long-term decrease in the global ocean oxygen inventory, but show regional discrepancies, particularly in the most oxygen-depleted waters, owing to the complex interplay between oxygen supply pathways and oxygen consumption. The geological record provides an orthogonal perspective, showing how the oceanic oxygen content varied in response to prior episodes of climate change. These past changes were much slower than the current, anthropogenic change, but can help to appraise sensitivities, and point toward potentially dominant mechanisms of change. Consistent with the model projections, marine sediments recorded an overall expansion of low-oxygen waters in the upper ocean as it warmed at the end of the last ice age. This expansion was not linearly related with temperature, though, but reached a deoxygenation extreme midway through the warming. Meanwhile, the deep ocean became better oxygenated, opposite the general expectation. These observations require that significant changes in apparent oxygen utilization occurred, suggesting that they will also be important in the future.

The Role of Autophagy in Cancer and Chemotherapy

Resistance to current chemo- and radiation therapy is the principal problem in anticancer treatment. Although intensively investigated, the therapeutic outcome is still far from satisfactory. Among the multiple factors which contribute to the drug resistance in cancer cells, the involvement of autophagy is becoming more and more evident. Autophagy describes a cellular self-digestion process, in which cytoplasmic elements can be selectively engulfed and finally degraded in autophagolysosomes to supply nutrients and building blocks for the cells. Autophagy controls cellular homeostasis and can be induced in response to stresses, like hypoxia and growth factor withdrawal. Since the essential physiological function of autophagy is to maintain cellular metabolic balance, dysregulated autophagy has been found associated with multiple diseases, including cancer. Interestingly, the role of autophagy in cancer is two-sided; it can be pro- or antitumor. Autophagy can suppress tumor formation, for example, by controlling cell proliferation and the production of reactive oxygen species. On the other hand, autophagy can provide nutrients to the tumor cells to support tumor growth under nutrition-limiting conditions, thereby promoting tumor development. This ambivalent behavior is also evident in anticancer therapy: By inducing autophagic cell death, autophagy has been shown to potentiate the cytotoxicity of chemotherapeutic drugs, but autophagy has also been linked to drug resistance, since inhibiting autophagy has been found to sensitize tumor cells toward anticancer drug-induced cell death. In this chapter, we will focus on the dual role of autophagy in tumorigenesis and chemotherapy, will classify autophagy inducers and inhibitors used in anticancer treatment, and will discuss topics related to future drug development which have arisen.

Logistic regression with Markov chains as covariates

The tobacco-specific nitrosamine 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK) is an obvious carcinogen for lung cancer. Since CBMN (Cytokinesis-blocked micronucleus) has been found to be extremely sensitive to NNK-induced genetic damage, it is a potential important factor to predict the lung cancer risk. However, the association between lung cancer and NNK-induced genetic damage measured by CBMN assay has not been rigorously examined. ^ This research develops a methodology to model the chromosomal changes under NNK-induced genetic damage in a logistic regression framework in order to predict the occurrence of lung cancer. Since these chromosomal changes were usually not observed very long due to laboratory cost and time, a resampling technique was applied to generate the Markov chain of the normal and the damaged cell for each individual. A joint likelihood between the resampled Markov chains and the logistic regression model including transition probabilities of this chain as covariates was established. The Maximum likelihood estimation was applied to carry on the statistical test for comparison. The ability of this approach to increase discriminating power to predict lung cancer was compared to a baseline "non-genetic" model. ^ Our method offered an option to understand the association between the dynamic cell information and lung cancer. Our study indicated the extent of DNA damage/non-damage using the CBMN assay provides critical information that impacts public health studies of lung cancer risk. This novel statistical method could simultaneously estimate the process of DNA damage/non-damage and its relationship with lung cancer for each individual.^

Mejora de la gestión del agua de riego mediante el uso de indicadores de riego

La gestión del agua de riego en la zona regable del Genil-Cabra, situada en la provincia de Córdoba, sur de España, se ha estudiado usando tres indicadores de riego: el Suministro Relativo de Agua de Riego (RIS); el Suministro Relativo de Agua (RWS) y el Suministro Relativo de Agua por Precipitaciones (RRS). Estos tres indicadores se han calculado tanto de forma global como agrupando los datos según el tipo de cultivo, el método de riego, la textura del suelo y el tamaño de la parcela. Toda la información relativa a variables agronómicas e hidráulicas se ha incluido en un Sistema de Información Geográfica (SIG) para facilitar su manejo. Los resultados muestran que los riegos son deficitarios ya que el valor del indicador RIS es relativamente bajo. No obstante, dado que el indicador RWS alcanza valores más altos, la demanda evaporativa puede ser satisfecha a lo largo del ciclo de desarrollo del cultivo. El indicador RRS oscila menos y junto al RWS permite conocer la fracción de evapotranspiración cubierta por el agua de lluvia. Los valores medios de los indicadores calculados son muy útiles para conocer el comportamiento del regante y la tendencia general, aunque la muestra usada es aún insuficiente para poder caracterizar una gran área de riego en su conjunto.