Acoustic Structure Interaction For Floating Structure Under Moving Load

The present thesis concentrates largely on sound radiation from floating structure due to moving load

Multifactorial interaction of growth factors on Penaeus monodon lymphoid cells and the impact of IGFs in DNA synthesis and metabolic activity in vitro

Development of continuous cell lines from shrimp is essential to investigate viral pathogens. Unfortunately, there is no valid cell line developed from crustaceans in general and shrimps in particular to address this issue. Lack of information on the requirements of cells in vitro limits the success of developing a cell line, where the microenvironment of a cell culture, provided by the growthmedium, is of prime importance. Screening and optimization of growth medium components based on statistical experimental designs have been widely used for improving the efficacy of cell culture media. Accordingly, we applied Plackett–Burman design and response surface methodology to study multifactorial interactions between the growth factors in shrimp cell culture medium and to identify the most important ones for growth of lymphoid cell culture from Penaeus monodon. The statistical screening and optimization indicated that insulin like growth factor-I (IGF-I) and insulin like growth factor-II (IGF-II) at concentrations of 100 and 150 ng ml-1, respectively, could significantly influence the metabolic activity and DNA synthesis of the lymphoid cells. An increase of 53 % metabolic activity and 24.8 % DNA synthesis could be obtained, which suggested that IGF-I and IGFII had critical roles in metabolic activity and DNA synthesis of shrimp lymphoid cells

MicroRNA–mRNA interaction network using TSK-type recurrent neural fuzzy network

MicroRNAs are short non-coding RNAs that can regulate gene expression during various crucial cell processes such as differentiation, proliferation and apoptosis. Changes in expression profiles of miRNA play an important role in the development of many cancers, including CRC. Therefore, the identification of cancer related miRNAs and their target genes are important for cancer biology research. In this paper, we applied TSK-type recurrent neural fuzzy network (TRNFN) to infer miRNA–mRNA association network from paired miRNA, mRNA expression profiles of CRC patients. We demonstrated that the method we proposed achieved good performance in recovering known experimentally verified miRNA–mRNA associations. Moreover, our approach proved successful in identifying 17 validated cancer miRNAs which are directly involved in the CRC related pathways. Targeting such miRNAs may help not only to prevent the recurrence of disease but also to control the growth of advanced metastatic tumors. Our regulatory modules provide valuable insights into the pathogenesis of cancer

Mn2þ-induced room-temperature ferromagnetism and spin-glass behavior in hydrothermally grown Mn-doped ZnO nanorods

The magnetic properties of Mn-doped ZnO (ZnO:Mn) nanorods grown by hydrothermal process at a temperature of 200 8C and a growth time of 3 h have been studied. The samples were characterized by using powder X-ray diffraction with Rietveld refinement, scanning electron microscopy, energy-dispersive X-ray analysis and SQUID magnetometry. Mn (3 wt%) and (5 wt%)-doped ZnO samples exhibit paramagnetic and ferromagnetic behavior, respectively, at room temperature. The spin-glass behavior is observed from the samples with respect to the decrease of temperature. At 10 K, both samples exhibit a hysteresis loop with relatively low coercivity. The room-temperature ferromagnetism in 5 wt% Mn-doped ZnO nanorods is attributed to the increase in the specific area of grain boundaries, interaction between dopant Mn2þ ions substituted at Zn2þ site and the interaction between Mn2þ ions and Zn2þ ions from the ZnO host lattice

Studies on the interaction of two level atoms with quantized electromagnetic field

The present study described about the interaction of a two level atom and squeezed field with time varying frequency. By applying a sinusoidal variation in the frequency of the field, the randomness in population inversion is reduced and the collapses and periodic revivals are regained. Quantum optics is an emerging field in physics which mainly deals with the interaction of atoms with quantised electromagnetic fields. Jaynes-Cummings Model (JCM) is a key model among them, which describes the interaction between a two level atom and a single mode radiation field. Here the study begins with a brief history of light, atom and their interactions. Also discussed the interaction between atoms and electromagnetic fields. The study suggest a method to manipulate the population inversion due to interaction and control the randomness in it, by applying a time dependence on the frequency of the interacting squeezed field.The change in behaviour of the population inversion due to the presence of a phase factor in the applied frequency variation is explained here.This study also describes the interaction between two level atom and electromagnetic field in nonlinear Kerr medium. It deals with atomic and field state evolution in a coupled cavity system. Our results suggest a new method to control and manipulate the population of states in two level atom radiation interaction,which is very essential for quantum information processing.We have also studied the variation of atomic population inversion with time, when a two level atom interacts with light field, where the light field has a sinusoidal frequency variation with a constant phase. In both coherent field and squeezed field cases, the population inversion variation is completely different from the phase zero frequency modulation case. It is observed that in the presence of a non zero phase φ, the population inversion oscillates sinusoidally.Also the collapses and revivals gradually disappears when φ increases from 0 to π/2. When φ = π/2 the evolution of population inversion is identical to the case when a two level atom interacts with a Fock state. Thus, by applying a phase shifted frequency modulation one can induce sinusoidal oscillations of atomic inversion in linear medium, those normally observed in Kerr medium. We noticed that the entanglement between the atom and field can be controlled by varying the period of the field frequency fluctuations. The system has been solved numerically and the behaviour of it for different initial conditions and different susceptibility values are analysed. It is observed that, for weak cavity coupling the effect of susceptibility is minimal. In cases of strong cavity coupling, susceptibility factor modifies the nature in which the probability oscillates with time. Effect of susceptibility on probability of states is closely related to the initial state of the system.

Influence of the interaction potential on simulated sputtering and reflection data

The TRIM.SP program which is based on the binary collision approximation was changed to handle not only repulsive interaction potentials, but also potentials with an attractive part. Sputtering yields, average depth and reflection coefficients calculated with four different potentials are compared. Three purely repulsive potentials (Meliere, Kr-C and ZBL) are used and an ab initio pair potential, which is especially calculated for silicon bombardment by silicon. The general trends in the calculated results are similar for all potentials applied, but differences between the repulsive potentials and the ab initio potential occur for the reflection coefficients and the sputtering yield at large angles of incidence.

Biomolecular interaction analysis in functional proteomics

In der funktionellen Proteomforschung werden bekannte Interaktionen eines zellulären Netzwerkes qualitativ untersucht. Diese Veröffentlichung beschreibt verschiedene biomolekulare Interaktionsanalysen, anhand des Modellsystems PKA, die zur detaillierten Charakterisierung von Bindungen herangezogen werden können. Neben den Gleichgewichtsbindungsdaten (generiert aus AlphaScreen, FP, SPR und ITC Messungen) wurden aus ITC Messungen die thermodynamischen Parameter G, H und S ermittelt. Durch Anwendung der BRET2 (Bioluminescence resonance energy transfer) Methode konnten in lebenden Zellen Aussagen über Bindungsereignisse und deren Lokalisation getroffen werden.

Characterization of DnmA, the Dnmt2 homolog in Dictyostelium discoideum

Eukaryotic DNA m5C methyltransferases (MTases) play a major role in many epigenetic regulatory processes like genomic imprinting, X-chromosome inactivation, silencing of transposons and gene expression. Members of the two DNA m5C MTase families, Dnmt1 and Dnmt3, are relatively well studied and many details of their biological functions, biochemical properties as well as interaction partners are known. In contrast, the biological functions of the highly conserved Dnmt2 family, which appear to have non-canonical dual substrate specificity, remain enigmatic despite the efforts of many researchers. The genome of the social amoeba Dictyostelium encodes Dnmt2-homolog, the DnmA, as the only DNA m5C MTase which allowed us to study Dnmt2 function in this organism without interference by the other enzymes. The dnmA gene can be easily disrupted but the knock-out clones did not show obvious phenotypes under normal lab conditions, suggesting that the function of DnmA is not vital for the organism. It appears that the dnmA gene has a low expression profile during vegetative growth and is only 5-fold upregulated during development. Fluorescence microscopy indicated that DnmA-GFP fusions were distributed between both the nucleus and cytoplasm with some enrichment in nuclei. Interestingly, the experiments showed specific dynamics of DnmA-GFP distribution during the cell cycle. The proteins colocalized with DNA in the interphase and were mainly removed from nuclei during mitosis. DnmA functions as an active DNA m5C MTase in vivo and is responsible for weak but detectable DNA methylation of several regions in the Dictyostelium genome. Nevertheless, gel retardation assays showed only slightly higher affinity of the enzyme to dsDNA compared to ssDNA and no specificity towards various sequence contexts, although weak but detectable specificity towards AT-rich sequences was observed. This could be due to intrinsic curvature of such sequences. Furthermore, DnmA did not show denaturant-resistant covalent complexes with dsDNA in vitro, although it could form covalent adducts with ssDNA. Low binding and methyltransfer activity in vitro suggest the necessity of additional factor in DnmA function. Nevertheless, no candidates could be identified in affinity purification experiments with different tagged DnmA fusions. In this respect, it should be noted that tagged DnmA fusion preparations from Dictyostelium showed somewhat higher activity in both covalent adduct formation and methylation assays than DnmA expressed in E.coli. Thus, the presence of co-purified factors cannot be excluded. The low efficiency of complex formation by the recombinant enzyme and the failure to define interacting proteins that could be required for DNA methylation in vivo, brought up the assumption that post-translational modifications could influence target recognition and enzymatic activity. Indeed, sites of phosphorylation, methylation and acetylation were identified within the target recognition domain (TRD) of DnmA by mass spectrometry. For phosphorylation, the combination of MS data and bioinformatic analysis revealed that some of the sites could well be targets for specific kinases in vivo. Preliminary 3D modeling of DnmA protein based on homology with hDNMT2 allowed us to show that several identified phosphorylation sites located on the surface of the molecule, where they would be available for kinases. The presence of modifications almost solely within the TRD domain of DnmA could potentially modulate the mode of its interaction with the target nucleic acids. DnmA was able to form denaturant-resistant covalent intermediates with several Dictyostelium tRNAs, using as a target C38 in the anticodon loop. The formation of complexes not always correlated with the data from methylation assays, and seemed to be dependent on both sequence and structure of the tRNA substrate. The pattern, previously suggested by the Helm group for optimal methyltransferase activity of hDNMT2, appeared to contribute significantly in the formation of covalent adducts but was not the only feature of the substrate required for DnmA and hDNMT2 functions. Both enzymes required Mg2+ to form covalent complexes, which indicated that the specific structure of the target tRNA was indispensable. The dynamics of covalent adduct accumulation was different for DnmA and different tRNAs. Interestingly, the profiles of covalent adduct accumulation for different tRNAs were somewhat similar for DnmA and hDNMT2 enzymes. According to the proposed catalytic mechanism for DNA m5C MTases, the observed denaturant-resistant complexes corresponded to covalent enamine intermediates. The apparent discrepancies in the data from covalent complex formation and methylation assays may be interpreted by the possibility of alternative pathways of the catalytic mechanism, leading not to methylation but to exchange or demethylation reactions. The reversibility of enamine intermediate formation should also be considered. Curiously, native gel retardation assays showed no or little difference in binding affinities of DnmA to different RNA substrates and thus the absence of specificity in the initial enzyme binding. The meaning of the tRNA methylation as well as identification of novel RNA substrates in vivo should be the aim of further experiments.

Biologische Funktionsanalyse und Identifizierung neuer Substrate der Methyltransferase Dnmt2

Obwohl die DNA Methyltransferase 2 (Dnmt2) hoch konserviert ist und zu der am weitesten verbreiteten eukaryotischen MTase-Familie gehört, ist ihre biologische Funktion nach wie vor unklar. Nachdem lange Zeit keine DNA Methylierungsaktivität nachgewiesen werden konnte, wurde vor einigen Jahren über geringe Mengen an 5-Methylcytosin (5mC) in Retroelementen der “Dnmt2-only”-Organismen D. melanogaster, D. discoideum und E. histolytica berichtet (Kunert et al. 2003; Fisher et al. 2004; Kuhlmann et al. 2005; Phalke et al. 2009). Als kurze Zeit später robuste Methylierung der tRNAAsp durch humane Dnmt2 gezeigt wurde (Goll et al. 2006), wurde zunächst eine Dualspezifität des Enzyms vorgeschlagen (Jeltsch et al. 2006). Neuere Daten zum 5mC-Status verschiedener „Dnmt2-only“-Organismen bilden Anlass für kontroverse Diskussionen über Ausmaß und Bedeutung der DNA Methyltransferaseaktivität von Dnmt2 (Schaefer et al. 2010a; Krauss et al. 2011). Die vorliegende Arbeit konzentriert sich auf die Identifizierung neuer RNA Substrate des Dnmt2-Homologs DnmA aus D. discoideum sowie die biologische Bedeutung der tRNA-Methylierung durch Dnmt2. Wie in anderen Organismen beschrieben, fungiert auch DnmA als tRNAAsp(GUC) MTase in vitro und in vivo. Zusätzlich konnte in vitro tRNAGlu(UUC) als neues Substrat der Dnmt2-Homologe aus D. discoideum und dem Menschen identifiziert werden. In einem Kooperationsprojekt wurde außerdem auch tRNAAsp-Methylierungsaktivität für das Dnmt2-Homolog aus S. pombe (Pmt1) nachgewiesen. Crosslink-RNA-Immunopräzipitationen (RNA-CLIP) mit anschließender Next-Generation-Sequenzierung der mit DnmA assoziierten RNAs zeigen, dass DnmA mit tRNA Fragmenten interagiert, die sich vom Anticodonloop bis in den T-loop erstrecken. Neben der tRNAAsp(GUC) und tRNAGlu(UUC/CUC) sind Fragmente der tRNAGly(GCC) verstärkt angereichert. Inwiefern diese Fragmente eine biologische Funktion haben oder spezifische Degradationsprodukte darstellen, ist noch ungeklärt. Interessanterweise sind von einigen tRNAs wenige Sequenzen von antisense-Fragmenten in den RNA-CLIP Daten zu finden, die etwas kürzer, jedoch exakt komplementär zu den genannten sense-Fragmenten sind. Besonders stark sind diese Fragmente der tRNAGlu(UUC) vertreten. In einem weiteren RNA-CLIP Experiment wurden U-snRNAs, snoRNA und intergenische Sequenzen mit DnmA angereichert. Bei nachfolgenden in vitro Methylierungsstudien konnte ausschließlich die U2-snRNA als potentielles Nicht-tRNA-Substrat der hDnmt2 und DnmA identifiziert werden. Da tRNA Modifikationen im Anticodonloop die Codonerkennung beeinflussen können, wurde ein System etabliert um die Translationseffizienz eines GFP-Reportergens in Wildtyp- und dnmAKO-Zellen zu messen. In D. discoideum wird das Aspartat-Codon GAU ca. zehnmal häufiger genutzt als das GAC Codon, allerdings ist nur eine tRNAAsp(GUC) im Genom der Amöbe kodiert. Aus diesem Grund wurde zusätzlich die Frage adressiert, inwiefern die DnmA-abhängige Methylierung dieser tRNA das „Wobbling“ beeinflusst. Dazu wurde dem Reportergen jeweils eine (GAU)5- und (GAC)5-Leadersequenz vorgeschaltet. Entgegen der Annahme wurde der (GAC)5-Leader in beiden Stämmen etwas effizienter translatiert. Insgesamt zeigte der dnmAKO-Stamm eine leicht erhöhte Translationseffizienz der Reportergene. Vergleichende Analysen zur Aufnahme von Fremd-DNA zeigten signifikant reduzierte Transformationseffizienzen mit einem integrierenden Plasmid in dnmAKO-Zellen. Ein weiterer dnmAKO-Stamm zeigte diesen Effekt jedoch nicht, wobei bei derselben Mutante eine deutlich reduzierte Aufnahme eines extrachromosomalen Plasmids zu verzeichnen war. Untersuchungen zum Einfluss von DnmA auf die Regulation des Retroelements skipper ergaben keinen Zusammenhang zwischen der Generierung kleiner RNAs und der erhöhten Transkription des Retrotransposons in dnmAKO-Zellen (Kuhlmann et al. 2005). Durch Kompensationsversuche sowie Experimente mit einer weiteren dnmAKO-Mutante konnte die Mobilisierung des Retrotransposons nicht eindeutig als DnmA-Funktion eingeordnet werden. In einem weiteren Projekt wurden die Bindung des m5C-bindenden Proteins EhMLBP aus E. histolytica an DNA mittels Rasterkraftmikroskopie abgebildet (Lavi et al. 2006). Neben vermutlich unspezifischen Endbindungsereignissen konnte eine bevorzugte Bindungsstelle des Proteins an LINE DNA (long intersperesed nuclear element) identifiziert werden. Möglicherweise fällt diese mit einem von zwei A/T-reichen Bereichen der LINE DNA zusammen, von denen vermutet wird, dass diese für die Bindung von EhMLBP an DNA von Bedeutung sind. Insgesamt bestätigen die Ergebnisse dieser Arbeit die tRNAAsp Methylierungsaktivität als konservierte Dnmt2-Funktion. Darüber hinaus erweitern sie das Substratspektrum der Dnmt2-Methyltransferasen im Bereich der tRNA. Außerdem wird erstmals ein potentielles Nicht-tRNA Substrat vorgeschlagen. Zusätzlich geben neu entdeckte Phänotypen Hinweise auf vielfältige zelluläre Dnmt2-Funktionen.

Optimization-Based Robotic Manipulation for Safe Interaction with Human Operators

This thesis investigates a method for human-robot interaction (HRI) in order to uphold productivity of industrial robots like minimization of the shortest operation time, while ensuring human safety like collision avoidance. For solving such problems an online motion planning approach for robotic manipulators with HRI has been proposed. The approach is based on model predictive control (MPC) with embedded mixed integer programming. The planning strategies of the robotic manipulators mainly considered in the thesis are directly performed in the workspace for easy obstacle representation. The non-convex optimization problem is approximated by a mixed-integer program (MIP). It is further effectively reformulated such that the number of binary variables and the number of feasible integer solutions are drastically decreased. Safety-relevant regions, which are potentially occupied by the human operators, can be generated online by a proposed method based on hidden Markov models. In contrast to previous approaches, which derive predictions based on probability density functions in the form of single points, such as most likely or expected human positions, the proposed method computes safety-relevant subsets of the workspace as a region which is possibly occupied by the human at future instances of time. The method is further enhanced by combining reachability analysis to increase the prediction accuracy. These safety-relevant regions can subsequently serve as safety constraints when the motion is planned by optimization. This way one arrives at motion plans that are safe, i.e. plans that avoid collision with a probability not less than a predefined threshold. The developed methods have been successfully applied to a developed demonstrator, where an industrial robot works in the same space as a human operator. The task of the industrial robot is to drive its end-effector according to a nominal sequence of grippingmotion-releasing operations while no collision with a human arm occurs.

Design and Control of a Closed-Loop Brushless Torque Actuator

This report explores the design and control issues associated with a brushless actuator capable of achieving extremely high torque accuracy. Models of several different motor - sensor configurations were studied to determine dynamic characteristics. A reaction torque sensor fixed to the motor stator was implemented to decouple the transmission dynamics from the sensor. This resulted in a compact actuator with higher bandwidth and precision than could be obtained with an inline or joint sensor. Testing demonstrated that closed-loop torque accuracy was within 0.1%, and the mechanical bandwidth approached 300 Hz.

Teaching an Old Robot New Tricks: Learning Novel Tasks via Interaction with People and Things

As AI has begun to reach out beyond its symbolic, objectivist roots into the embodied, experientialist realm, many projects are exploring different aspects of creating machines which interact with and respond to the world as humans do. Techniques for visual processing, object recognition, emotional response, gesture production and recognition, etc., are necessary components of a complete humanoid robot. However, most projects invariably concentrate on developing a few of these individual components, neglecting the issue of how all of these pieces would eventually fit together. The focus of the work in this dissertation is on creating a framework into which such specific competencies can be embedded, in a way that they can interact with each other and build layers of new functionality. To be of any practical value, such a framework must satisfy the real-world constraints of functioning in real-time with noisy sensors and actuators. The humanoid robot Cog provides an unapologetically adequate platform from which to take on such a challenge. This work makes three contributions to embodied AI. First, it offers a general-purpose architecture for developing behavior-based systems distributed over networks of PC's. Second, it provides a motor-control system that simulates several biological features which impact the development of motor behavior. Third, it develops a framework for a system which enables a robot to learn new behaviors via interacting with itself and the outside world. A few basic functional modules are built into this framework, enough to demonstrate the robot learning some very simple behaviors taught by a human trainer. A primary motivation for this project is the notion that it is practically impossible to build an "intelligent" machine unless it is designed partly to build itself. This work is a proof-of-concept of such an approach to integrating multiple perceptual and motor systems into a complete learning agent.

Interaction and Intelligent Behavior

We introduce basic behaviors as primitives for control and learning in situated, embodied agents interacting in complex domains. We propose methods for selecting, formally specifying, algorithmically implementing, empirically evaluating, and combining behaviors from a basic set. We also introduce a general methodology for automatically constructing higher--level behaviors by learning to select from this set. Based on a formulation of reinforcement learning using conditions, behaviors, and shaped reinforcement, out approach makes behavior selection learnable in noisy, uncertain environments with stochastic dynamics. All described ideas are validated with groups of up to 20 mobile robots performing safe--wandering, following, aggregation, dispersion, homing, flocking, foraging, and learning to forage.