Coupling of cells to biomaterials is a prerequisite for most biomedical applications; e.g., neuroelectrodes can only stimulate brain tissue in vivo if the electric signal is transferred to neurons attached to the electrodes’ surface. Besides, cell survival in vitro also depends on the interaction of cells with the underlying substrate materials; in vitro assays such as multielectrode arrays determine cellular behavior by electrical coupling to the adherent cells. In our study, we investigated the interaction of neurons and glial cells with different electrode materials such as TiN and nanocolumnar TiN surfaces in contrast to gold and ITO substrates. Employing single-cell force spectroscopy, we quantified short-term interaction forces between neuron-like cells (SH-SY5Y cells) and glial cells (U-87 MG cells) for the different materials and contact times. Additionally, results were compared to the spreading dynamics of cells for different culture times as a function of the underlying substrate. The adhesion behavior of glial cells was almost independent of the biomaterial and the maximum growth areas were already seen after one day; however, adhesion dynamics of neurons relied on culture material and time. Neurons spread much better on TiN and nanocolumnar TiN and also formed more neurites after three days in culture. Our designed nanocolumnar TiN offers the possibility for building miniaturized microelectrode arrays for impedance spectroscopy without losing detection sensitivity due to a lowered self-impedance of the electrode. Hence, our results show that this biomaterial promotes adhesion and spreading of neurons and glial cells, which are important for many biomedical applications in vitro and in vivo.

No description available.

No description available.

Research has established when transferring knowledge, a gap occurs between the sender and receiver due to different expertise. Research has, however, not enlightened how an organization consisting of multiple development departments ensures that individuals with different expertise have the prerequisites needed to transfer knowledge across knowledge domains. The thesis explores possibilities in knowledge transfer processes, specifically among research and development (R&D) departments where the knowledge domain differs. Furthermore, exploring how the two perspectives of spreading and absorbing knowledge can answer how departments can ensure that the knowledge generated can successfully be transferred and interpreted by the receiver. Thus, the receiver understands the critical information and how it can be applied in a specific department. The methodology used was a qualitative case study as the study has conducted together with Husqvarna Group. The data collected was established through 14 interviews with Husqvarna, which have been analyzed in relation to a theoretical framework based on knowledge transfer literature. The focus has been on the organization's research and development departments, where much knowledge is being exchanged.  This study enlightens existing shortcomings within knowledge transfer processes and situations. However, these are general and common for organizations according to theory. The study suggests that individuals and departments more actively build and nurture relations to successfully bridge the gaps that exist. Furthermore, through management, the organization needs to encourage individuals’ motivation and incentives to receive and search for new knowledge. The organization could also consider balancing the existing communication channels, leading to less seclusion and a more inclusive organization. Finally, the entire organization would benefit from considering knowledge transfer as a coherent process, not several isolated processes.

<p>This thesis focuses on the tectonomorphologic evolution of the Central Andean Puna Plateau and its eastern foreland. The collective findings of fault-slip and tectonomorphic analyes help in understanding the mechanical behavior of non-collisional orogens at convergent plate boundaries and result in an improved Neogene tectonic record of the Central Andes.</p> <p>Fault-slip analysis indicates Neogene WNW-ESE horizontal shortening of the thickened crust of the Puna Plateau and Eastern Cordillera and simultaneous lateral gravitational spreading. The less thickened of Pampean Ranges continue to undergo horizontal shortening only. The importance of N-S extension in the kinematics of elevated parts of the Central Andes is underscored by the strike-slip components on prominent dip-slip faults. Strain axis configurations in the southern Central Andes are generally controlled by (1) overall WNW-ESE horizontal shortening imposed by plate convergence and (2) differences in crustal thickness, i.e., gravitational potential energy. Therefore, a geodynamic interpretations in which still increasing elevation and crustal thickness significantly influence upper-crustal kinematics of the southern Central Andes is suggested.</p> <p>To allow regional-scale tectonomorphic studies, including Valley-Width-to-Valley-Height (Vf) ratio and the Transverse-Topographic-Symmetry (T-) factor, an Esri ArcGIS compatible software tool was developed. This Geographical Information System (GIS)-based tool, was coded in Python to enable conversion to other ArcGIS versions. This herein presented first version of the tool is fully functioning and drastically reduces the otherwise long processing times.</p> <p>A qualitative main basin symmetry description, Mountain-Front-Sinuosity (Smf) indices, and Vf-ratios of second-order drainage basins, indicate ubiquitous Quaternary deformation on reverse and thrust faults in the southern Central Andes. The recorded Quaternary deformation strongly influences Quaternary landform development, as shown by main drainage basin asymmetries and second-order drainage basins shapes. However, non-systematic T-factor distribution for second-order basins indicates that basin asymmetry is subject to litholigcal variations.</p> / Doctor of Philosophy (PhD)

Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Earth and Planetary Science, 1982. / Microfiche copy available in Archives and Science / Bibliography: leaves 79-82. / by James Louis Muller. / M.S.

Cultured meat offers a sustainable alternative to traditional meat production, addressing critical environmental and ethical issues. A key aspect of this process is the large-scale proliferation of muscle satellite cells, which can further proliferate and form the primary component of cultured meat. However, ensuring efficient cell proliferation within bioreactors is a significant challenge. Without effective and robust cell proliferation, it would be impossible to meet the production demands of cultured meat. Moreover, 3D cell spheroids tend to form tightly packed structures. As these spheroids grow larger, the limited penetration of oxygen and nutrients can lead to the formation of necrotic cores or cause cells in the central layers to experience cell cycle arrest, resulting in either irreversible senescence or reversible quiescence. This adds complexity to maintaining stable cell growth. To address these challenges, different ECM components, specifically Matrigel and Collagen I, were introduced to alter matrix stiffness and growth factor concentrations. The goal was to address issues of reduced cell proliferation and cell cycle arrest. Results demonstrated that in the absence of ECM, 3D-cultured bovine muscle satellite cells spontaneously formed myospheres but exhibited cell cycle arrest and inhibited proliferation. These issues were reversed with the addition of ECM. Increasing ECM stiffness, particularly through higher concentrations of Matrigel and Collagen I, significantly enhanced cell spreading but had a complex effect on cell proliferation. While Matrigel promoted both cell spreading and proliferation, higher stiffness and growth factor levels were associated with reduced proliferation rates, indicating a trade-off between these processes. Notably, a stiffness of 1.5 Pa with 1.56 mg/ml Matrigel yielded the highest proliferation rate, suggesting this condition might be optimal for use in bioreactor systems. Additionally, increasing matrix stiffness using Collagen I also enhanced cell spreading, indicating that cell spreading is strongly influenced by ECM stiffness. Furthermore, Matrigel reduced the expression of quiescence and senescence markers, helping to maintain cells in a proliferative state. These findings underscore the importance of optimizing ECM properties to balance cell proliferation and structural organization in 3D cultures, providing a foundation for scaling up 3D culture systems in bioreactor settings—a critical step toward large-scale cultured meat production. / Thesis / Master of Applied Science (MASc)

No / Cortical spreading depression (CSD) is a transient disruption of local ionic homeostasis that may promote migraine attacks and the progression of stroke lesions. We reported previously that the local inhibition of nitric oxide (NO) synthesis with N¿-nitro-L-arginine methyl ester (L-NAME) delayed markedly the initiation of the recovery of ionic homeostasis from CSD. Here we describe a novel method for selective, controlled generation of exogenous NO in a functioning brain region. It is based on microdialysis perfusion of the NO donor, 2-(N,N-diethylamino)-diazenolate-2-oxide (DEA/NO). As DEA/NO does not generate NO at alkaline pH, and as the brain has a strong acid-base buffering capacity, DEA/NO was perfused in a medium adjusted at alkaline (but unbuffered) pH. Without DEA/NO, such a microdialysis perfusion medium did not alter CSD. DEA/NO (1, 10 and 100 ¿M) had little effect on CSD by itself, but it reversed in a concentration-dependent manner the effects of NOS inhibition by 1 mM L-NAME. These data demonstrate that increased formation of endogenous NO associated with CSD is critical for subsequent, rapid recovery of cellular ionic homeostasis. In this case, the molecular targets for NO may be located either on brain cells to suppress mechanisms directly involved in CSD genesis, or on local blood vessels to couple flow to the increased energy demand associated with CSD

Das Verständnis der komplexen Interaktionen innerhalb des weltweiten Transportnetzes ist ein essentieller Schritt auf dem Weg zur Vorhersage der Krankheitsausbreitung und Entwicklung von effektiven Gegenmaßnahmen. Ungeachtet der weltweiten Vernetzung werden die politischen Entscheidungen oft von nationaler, regionaler und egozentrischen Denkweise geleitet. Die Ebola-Epidemie in 2014 demonstrierte deutlich, dass solche Herangehensweise modernen Epidemien nicht gerecht werden kann. In dieser Dissertation werden mehrere Methoden entwickelt, welche es ermöglichen während einer Epidemie die globalen Teilnehmer entsprechend ihrer Rolle einzustufen und das Risiko des Krankheitsexports zu berechnen. Die Methodik wird analytisch und numerisch ausführlich diskutiert. Darüber hinaus werden Lösungen für hypothetische und reale Epidemien auf dem Flugverkehrsnetz vorgestellt. Im zweiten Teil wird mit Hilfe eines vereinfachten spieltheoretischen Modells der Prozess der Ressourcenverteilung zur Epidemieeindämmung untersucht. Dabei erfolgt die Verteilung der Ressourcen von den Knoten und kann in egozentrischer oder altruistischer Weise erfolgen. Im Rahmen der Modells liegen die Optima für das altruistische und egozentrische System eng beieinander, solange der ausbruch räumlich konzentriert ist. In diesem Fall ist es optimal alle Ressourcen in den Ausbruchsknoten zu investieren. Bei lokal getrennten Ausbrüchen streben die Systeme verschiedene Gleichgewichte an. In allen Aspekten der Arbeit wird netzwerkbasierte Repräsentation des Systems verwendet, so dass die Orte durch Knoten innerhalb eines Transportnetzwerkes abgebildet werden. Die vorliegende Arbeit vereint mehrere Vorteileder etablierten Methoden: während der Schwerpunkt auf der Topologie des Netzwerkes liegt, berücksichtigt die vorgestellte Methodik den Ursprungsort der Epidemie. / The growing complexity of the global mobility is a key challenge for the understanding of the worldwide spread of emergent infectious diseases and the design of effective containment strategies. Despite global connectivity, containment policies are often based on national, regional and ’egocentric’ assessments of outbreak situations that are no longer effective or meaningful, as recently demonstrated by 2014 Ebola outbreak in West Africa, where months passed before a concerted, international effort followed. Despite the importance of the matter, optimal strategies in highly connected non-local settings are poorly understood. In the work at hand we propose a set of methods for more informed decision making during and prior to a pandemic. All of the studied systems are represented by networks in analogz the traffic networks, which play a dominant role during the global disease spreading. We introduce methods to calculate the risk of disease importation in a specific location and to determine the role of a node during an outbreak. Using the world aviation network, we demonstrate how the methods can be applied on real and hypothetical pandemics. We show that the airports can be divided into two distinct groups according to the role they take on in distributing the disease. Further, investigate the allocation of resources as a game theoretic dilemma. We embrace a bottom-up approach to this question, allowing the nodes of the network to distribute the resourses. We investigate egocentric and altruistic strategies and conclude that the optimal state of both systems are very similar if the outbreak is spacially confined. In this case allocation of resources ti the affected nodes is the optimal strategy. When there are multiple independent outbreaks, the optima diverge substantially. To foster the benefits of multiple approaches, the work at hand combines the information on the network topology but also regard some specifics of the outbreak at hand outbreak.

Kollektive biologische Systeme sammeln Informationen und leiten diese intern weiter, um Umweltveränderungen zu detektieren und auf sie zu reagieren. In Tiergruppen können die probabilistischen Entscheidungen von Individuen durch diese kollektive Informationsverarbeitung verbessert werden. Die dem sozialen Austausch zu Grunde liegenden Sinneswahrnehmungen finden jedoch in gängigen Modellen kollektiven Verhaltens kaum Beachtung. Hier untersuche ich, wie der individuelle Zugang zu sozialen Informationen durch visuelle Wahrnehmung und räumliche Gruppenstruktur geformt wird. Zuerst untersuche ich Fluchtwellen in Fischschwärmen in zwei als unterschiedlich riskant wahrgenommenen Kontexten mithilfe empirisch ermittelter visueller Interaktionsnetzwerke. Die beobachtete strukturelle Änderung der Gruppen zwischen den Kontexten erweist sich als essenziell, um die Änderung der Fluchtwellengröße zu erklären und optimiert potenziell die kollektive Informationsverarbeitung im jeweiligen Kontext. Von optimaler Informationsverarbeitung wird in biologischen Systemen oft angenommen, dass sie an Phasenübergängen in deren kollektiver Dynamik stattfindet, sogenannten kritischen Punkten. Die beobachtete strukturelle Änderung ändert den Abstand des Schwarmverhaltens zu einem solchen kritischen Punkt. Jedoch bleiben die Gruppen subkritisch in beiden Kontexten, vermutlich aus Notwendigkeit, tatsächliche Warnungen zu verstärken und falsche zu unterdrücken. Im zweiten Teil vergleiche ich visuelle Netzwerke mit anderen räumlichen Netzwerken bezüglich ihrer Struktur und dem Verhalten von Ausbreitungsprozessen auf ihnen. Einzig visuelle Netzwerke zeigen bei mittleren Gruppendichten Optima in zentralen Netzwerkeigenschaften und behalten realistische Eigenschaften bei hohen und niedrigen Dichten. Abschließend entwickle ich eine analytische Näherung zentraler Netzwerkeigenschaften solcher visuellen Netzwerke. / Collective biological systems gather information and propagate it internally to detect and react to environmental changes. In animal groups the probabilistic decisions of individuals can be improved by this collective information processing. Animals rely on sensory cues for social communication, yet common models of collective behavior neglect this sensory basis of interactions. Here, I investigate how an individual’s access to social information is shaped by visual sensory limitations and spatial group structure. First, escape waves in fish schools are studied under two levels of perceived environmental risk using empirically inferred visual interaction networks. Group-structural change is found to be crucial to explain the observed differences in size of escape waves and potentially optimize collective information processing according to the state of the environment. Optimal information processing in biological systems is often hypothesized to occur at phase transitions in their collective dynamics, so-called critical points. Here, the observed change in group structure modifies the schools’ distance to a critical point. Yet groups stay subcritical in both experimental setups, which may manage a trade-off between sensitivity to true alarms and robustness to false ones. In a second part, visual networks are compared to other spatial networks in structure and behavior of spreading processes on them. Visual networks show a unique dependence on group density with optima in network structural measures at intermediate densities, making them more realistic than other networks at high and low densities. Finally, an analytical approximation of central properties of visual networks is developed. Overall, this thesis identifies group structure as a potential control mechanism of collective information processing, highlights the trade-off associated with criticality in noisy systems and provides a systematic study and analytic approximation of visual sensory networks.