Ryanodine receptor expression in trophoblasts

Trophoblasts of the placenta are the frontline cells involved in communication and exchange of materials between the mother and fetus. Within trophoblasts, calcium signalling proteins are richly expressed. Intracellular free calcium ions are a key second messenger, regulating various cellular activities. Transcellular Ca2+ transport through trophoblasts is essential in fetal skeleton formation. Ryanodine receptors (RyRs) are high conductance cation channels that mediate Ca2+ release from intracellular stores to the cytoplasm. To date, the roles of RyRs in trophoblasts have not been reported. By use of reverse transcription PCR and western blotting, the current study revealed that RyRs are expressed in model trophoblast cell lines (BeWo and JEG-3) and in human first trimester and term placental villi. Immunohistochemistry of human placental sections indicated that both syncytiotrophoblast and cytotrophoblast cell layers were positively stained by antibodies recognising RyRs; likewise, expression of RyR isoforms was also revealed in BeWo and JEG-3 cells by immunofluorescence microscopy. In addition, changes in [Ca2+]i were observed in both BeWo and JEG-3 cells upon application of various RyR agonists and antagonists, using fura-2 fluorescent videomicroscopy. Furthermore, endogenous placental peptide hormones, namely angiotensin II, arginine vasopressin and endothelin 1, were demonstrated to increase [Ca2+]i in BeWo cells, and such increases were suppressed by RyR antagonists and by blockers of the corresponding peptide hormone receptors. These findings indicate that 1) multiple RyR subtypes are expressed in human trophoblasts; 2) functional RyRs in BeWo and JEG-3 cells response to both RyR agonists and antagonists; 3) RyRs in BeWo cells mediate Ca2+ release from intracellular store in response to the indirect stimulation by endogenous peptides. These observations suggest that RyR contributes to trophoblastic cellular Ca2+ homeostasis; trophoblastic RyRs are also involved in the functional regulation of human placenta by coupling to endogenous placental peptide-induced signalling pathways.

Grid integration of wave energy & generic modelling of ocean devices for power system studies

The work presented in this thesis covers four major topics of research related to the grid integration of wave energy. More specifically, the grid impact of a wave farm on the power quality of its local network is investigated. Two estimation methods were developed regarding the flicker level Pst generated by a wave farm in relation to its rated power as well as in relation to the impedance angle ψk of the node in the grid to which it is connected. The electrical design of a typical wave farm design is also studied in terms of minimum rating for three types of costly pieces of equipment, namely the VAr compensator, the submarine cables and the overhead line. The power losses dissipated within the farm's electrical network are also evaluated. The feasibility of transforming a test site into a commercial site of greater rated power is investigated from the perspective of power quality and of cables and overhead line thermal loading. Finally, the generic modelling of ocean devices, referring here to both wave and tidal current devices, is investigated.

Characteristics of the wave energy resource at the Atlantic marine energy test site

The wave energy industry is progressing towards an advanced stage of development, with consideration being given to the selection of suitable sites for the first commercial installations. An informed, and accurate, characterisation of the wave energy resource is an essential aspect of this process. Ireland is exposed to an energetic wave climate, however many features of this resource are not well understood. This thesis assesses and characterises the wave energy resource that has been measured and modelled at the Atlantic Marine Energy Test Site, a facility for conducting sea trials of floating wave energy converters that is being developed near Belmullet, on the west coast of Ireland. This characterisation process is undertaken through the analysis of metocean datasets that have previously been unavailable for exposed Irish sites. A number of commonly made assumptions in the calculation of wave power are contested, and the uncertainties resulting from their application are demonstrated. The relationship between commonly used wave period parameters is studied, and its importance in the calculation of wave power quantified, while it is also shown that a disconnect exists between the sea states which occur most frequently at the site and those that contribute most to the incident wave energy. Additionally, observations of the extreme wave conditions that have occurred at the site and estimates of future storms that devices will need to withstand are presented. The implications of these results for the design and operation of wave energy converters are discussed. The foremost contribution of this thesis is the development of an enhanced understanding of the fundamental nature of the wave energy resource at the Atlantic Marine Energy Test Site. The results presented here also have a wider relevance, and can be considered typical of other, similarly exposed, locations on Ireland’s west coast.

Finding optimal alternatives based on efficient comparative preference inference

Choosing the right or the best option is often a demanding and challenging task for the user (e.g., a customer in an online retailer) when there are many available alternatives. In fact, the user rarely knows which offering will provide the highest value. To reduce the complexity of the choice process, automated recommender systems generate personalized recommendations. These recommendations take into account the preferences collected from the user in an explicit (e.g., letting users express their opinion about items) or implicit (e.g., studying some behavioral features) way. Such systems are widespread; research indicates that they increase the customers' satisfaction and lead to higher sales. Preference handling is one of the core issues in the design of every recommender system. This kind of system often aims at guiding users in a personalized way to interesting or useful options in a large space of possible options. Therefore, it is important for them to catch and model the user's preferences as accurately as possible. In this thesis, we develop a comparative preference-based user model to represent the user's preferences in conversational recommender systems. This type of user model allows the recommender system to capture several preference nuances from the user's feedback. We show that, when applied to conversational recommender systems, the comparative preference-based model is able to guide the user towards the best option while the system is interacting with her. We empirically test and validate the suitability and the practical computational aspects of the comparative preference-based user model and the related preference relations by comparing them to a sum of weights-based user model and the related preference relations. Product configuration, scheduling a meeting and the construction of autonomous agents are among several artificial intelligence tasks that involve a process of constrained optimization, that is, optimization of behavior or options subject to given constraints with regards to a set of preferences. When solving a constrained optimization problem, pruning techniques, such as the branch and bound technique, point at directing the search towards the best assignments, thus allowing the bounding functions to prune more branches in the search tree. Several constrained optimization problems may exhibit dominance relations. These dominance relations can be particularly useful in constrained optimization problems as they can instigate new ways (rules) of pruning non optimal solutions. Such pruning methods can achieve dramatic reductions in the search space while looking for optimal solutions. A number of constrained optimization problems can model the user's preferences using the comparative preferences. In this thesis, we develop a set of pruning rules used in the branch and bound technique to efficiently solve this kind of optimization problem. More specifically, we show how to generate newly defined pruning rules from a dominance algorithm that refers to a set of comparative preferences. These rules include pruning approaches (and combinations of them) which can drastically prune the search space. They mainly reduce the number of (expensive) pairwise comparisons performed during the search while guiding constrained optimization algorithms to find optimal solutions. Our experimental results show that the pruning rules that we have developed and their different combinations have varying impact on the performance of the branch and bound technique.

Block copolymer self-assembly based device structures

This thesis investigated the block copolymer (BCP) thin film characteristics and pattern formation using a set of predetermined molecular weights of PS-b-PMMA and PS-b-PDMS. Post BCP pattern fabrication on the required base substrate a dry plasma etch process was utilised for successful pattern transfer of the BCP resist onto underlying substrate. The resultant sub-10 nm device features were used in front end of line (FEoL) fabrication of active device components in integrated circuits (IC). The potential use of BCP templates were further extended to metal and metal-oxide nanowire fabrication. These nanowires were further investigated in real-time applications as novel sensors and supercapacitors.

Combining and choosing case base maintenance algorithms

Case-Based Reasoning (CBR) uses past experiences to solve new problems. The quality of the past experiences, which are stored as cases in a case base, is a big factor in the performance of a CBR system. The system's competence may be improved by adding problems to the case base after they have been solved and their solutions verified to be correct. However, from time to time, the case base may have to be refined to reduce redundancy and to get rid of any noisy cases that may have been introduced. Many case base maintenance algorithms have been developed to delete noisy and redundant cases. However, different algorithms work well in different situations and it may be difficult for a knowledge engineer to know which one is the best to use for a particular case base. In this thesis, we investigate ways to combine algorithms to produce better deletion decisions than the decisions made by individual algorithms, and ways to choose which algorithm is best for a given case base at a given time. We analyse five of the most commonly-used maintenance algorithms in detail and show how the different algorithms perform better on different datasets. This motivates us to develop a new approach: maintenance by a committee of experts (MACE). MACE allows us to combine maintenance algorithms to produce a composite algorithm which exploits the merits of each of the algorithms that it contains. By combining different algorithms in different ways we can also define algorithms that have different trade-offs between accuracy and deletion. While MACE allows us to define an infinite number of new composite algorithms, we still face the problem of choosing which algorithm to use. To make this choice, we need to be able to identify properties of a case base that are predictive of which maintenance algorithm is best. We examine a number of measures of dataset complexity for this purpose. These provide a numerical way to describe a case base at a given time. We use the numerical description to develop a meta-case-based classification system. This system uses previous experience about which maintenance algorithm was best to use for other case bases to predict which algorithm to use for a new case base. Finally, we give the knowledge engineer more control over the deletion process by creating incremental versions of the maintenance algorithms. These incremental algorithms suggest one case at a time for deletion rather than a group of cases, which allows the knowledge engineer to decide whether or not each case in turn should be deleted or kept. We also develop incremental versions of the complexity measures, allowing us to create an incremental version of our meta-case-based classification system. Since the case base changes after each deletion, the best algorithm to use may also change. The incremental system allows us to choose which algorithm is the best to use at each point in the deletion process.

Integrated spot size converters for InP based photonic systems

The ever increasing demand for broadband communications requires sophisticated devices. Photonic integrated circuits (PICs) are an approach that fulfills those requirements. PICs enable the integration of different optical modules on a single chip. Low loss fiber coupling and simplified packaging are key issues in keeping the price of PICs at a low level. Integrated spot size converters (SSC) offer an opportunity to accomplish this. Design, fabrication and characterization of SSCs based on an asymmetric twin waveguide (ATG) at a wavelength of 1.55 μm are the main elements of this dissertation. It is theoretically and experimentally shown that a passive ATG facilitates a polarization filter mechanism. A reproducible InP process guideline is developed that achieves vertical waveguides with smooth sidewalls. Birefringence and resonant coupling are used in an ATG to enable a polarization filtering and splitting mechanism. For the first time such a filter is experimentally shown. At a wavelength of 1610 nm a power extinction ratio of (1.6 ± 0.2) dB was measured for the TE- polarization in a single approximately 372 μm long TM- pass polarizer. A TE-pass polarizer with a similar length was demonstrated with a TM/TE-power extinction ratio of (0.7 ± 0.2) dB at 1610 nm. The refractive indices of two different InGaAsP compositions, required for a SSC, are measured by the reflection spectroscopy technique. A SSC layout for dielectric-free fabricated compact photodetectors is adjusted to those index values. The development and the results of the final fabrication procedure for the ATG concept are outlined. The etch rate, sidewall roughness and selectivity of a Cl2/CH4/H2 based inductively coupled plasma (ICP) etch are investigated by a design of experiment approach. The passivation effect of CH4 is illustrated for the first time. Conditions are determined for etching smooth and vertical sidewalls up to a depth of 5 μm.

Low power predictable memory and processing architectures

Great demand in power optimized devices shows promising economic potential and draws lots of attention in industry and research area. Due to the continuously shrinking CMOS process, not only dynamic power but also static power has emerged as a big concern in power reduction. Other than power optimization, average-case power estimation is quite significant for power budget allocation but also challenging in terms of time and effort. In this thesis, we will introduce a methodology to support modular quantitative analysis in order to estimate average power of circuits, on the basis of two concepts named Random Bag Preserving and Linear Compositionality. It can shorten simulation time and sustain high accuracy, resulting in increasing the feasibility of power estimation of big systems. For power saving, firstly, we take advantages of the low power characteristic of adiabatic logic and asynchronous logic to achieve ultra-low dynamic and static power. We will propose two memory cells, which could run in adiabatic and non-adiabatic mode. About 90% dynamic power can be saved in adiabatic mode when compared to other up-to-date designs. About 90% leakage power is saved. Secondly, a novel logic, named Asynchronous Charge Sharing Logic (ACSL), will be introduced. The realization of completion detection is simplified considerably. Not just the power reduction improvement, ACSL brings another promising feature in average power estimation called data-independency where this characteristic would make power estimation effortless and be meaningful for modular quantitative average case analysis. Finally, a new asynchronous Arithmetic Logic Unit (ALU) with a ripple carry adder implemented using the logically reversible/bidirectional characteristic exhibiting ultra-low power dissipation with sub-threshold region operating point will be presented. The proposed adder is able to operate multi-functionally.

Characterization of TRAF6 mediated ubiquitination of presenilins and γ-secretase substrates

Post-translational modification of the γ-secretase protease complexes and their substrates has an important role in controlling receptor-initiated signalling events, which are critically important in the pathogenesis of cancer, inflammatory and Alzheimer’s disease. Our lab has previously characterised an interaction between TRAF6 and presenilin-1, which lead to the identification of interleukin-1 (IL-1) receptor type 1 (IL-1R1) and Toll-like receptor-4 (TLR4) as novel γ-secretase substrates. Subsequently our group showed that TRAF6 promoted ubiquitination and γ-secretase cleavage of IL-1R1. The aim of this project is to study the association between TRAF6 and the presenilins, the critical γ-secretase complex components, and to determine the functional importance of TRAF6-mediated ubiquitination of γ-secretase substrates. Firstly, we show that the full-length presenilins are novel substrates of TRAF6-mediated Lysine-63-linked polyubiquitination. Secondly, we show that co-expression of TRAF6 and the presenilins increases the stability and alters the turnover of the presenilins. Thirdly, we reveal that TRAF6-mediated ubiquitination of presenilin does not affect γ-secretase enzyme activity, but may regulate the full-length presenilin functions such as ER Ca2+ signalling. Previously, we have reported IL-1R1 as a novel substrate of TRAF6-mediated ubiquitination. In this study, we identified five lysine residues in the IL-1R1 intracellular domain targeted by TRAF6-mediated polyubiquitination. Furthermore, mutagenesis of these five lysine residues led to decreased IL-1R1 cell surface expression, precluded the ectodomain shedding and attenuated the responsiveness to IL-1β stimulation, demonstrating the critical role of TRAF6 in IL-1R1 trafficking.

The role of glucocorticoid-induced tumour necrosis factor receptor in developing mouse sympathetic neurons

Hereditary sensory autonomic neuropathy IV (HSAN IV) is an autosomal recessive disorder characterised by inability to feel pain and anhidrosis and is a consequence of defective NGF/TrkA signalling and growth of sensory and sympathetic neurons. Glucocortiocoid-induced tumour necrosis factors receptor (GITR), a transmembrane protein, activated by its specific ligand, GITRL, is well known for its role in the regulation of innate and acquired immune system responses. Recently, GITR was found to be required for NGF-dependant and extracellular signal-related kinase 1/2 (ERK1/2)-induced neurite growth and target innervation in the developing sympathetic nervous system (SNS). Given this novel role of GITR, it is possible that strategies targeting GITR have potential therapeutic benefit in promoting neurite growth in autonomic neuropathies such as HSAN IV. Using P1 mouse SCG neurons as a model, in addition to various SCG cell treatments, knock down models and transfection methods, we investigated whether GITR increases the sensitivity of sympathetic neurons to NGF; the region of GITR required for the enhancement of NGF-promoted growth, the signalling pathways downstream of GITR and how extensively GITR is involved in regulating peripheral innervation of the SNS. Results indicate that the region responsible for the growth promoting effects of GITR lies in its juxtamembrane intracellular region (here termed the growth promoting domain (GPD)) of GITR. The GPD of GITR activates ERK1/2 and inhibits nuclear factor kappa B (NF-κB) in an inverse fashion to provide an optimal cellular growth environment for P1 SCG neurons. While deleting the GPD of GITR had no effect on TrkA expression, constitutive phosphorylation of specific sites in the GPD reduced TrkA expression indicating a possible role for GITR in increasing the sensitivity of SCG neurons to NGF by the regulation of these sites, TrkA expression and subsequent NGF/TrkA binding. GITR appears to be heterogeneously required for NGF-promoted target innervation of SCG neurons in some organs, implying additional factors are involved in extensive NGF-target innervation of the SNS. In conclusion, this study answers basic biological questions regarding the molecular mechanism behind the role of GITR in the development of the SNS, and provides a basis for future research if GITR modulation is to be developed as a strategy for promoting axonal growth.

Interstitial engraftment of adipose-derived stem cells into an acellular dermal matrix results in improved inward angiogenesis and tissue incorporation.

Acellular dermal matrices (ADM) are commonly used in reconstructive procedures and rely on host cell invasion to become incorporated into host tissues. We investigated different approaches to adipose-derived stem cells (ASCs) engraftment into ADM to enhance this process. Lewis rat adipose-derived stem cells were isolated and grafted (3.0 × 10(5) cells) to porcine ADM disks (1.5 mm thick × 6 mm diameter) using either passive onlay or interstitial injection seeding techniques. Following incubation, seeding efficiency and seeded cell viability were measured in vitro. In addition, Eighteen Lewis rats underwent subcutaneous placement of ADM disk either as control or seeded with PKH67 labeled ASCs. ADM disks were seeded with ASCs using either onlay or injection techniques. On day 7 and or 14, ADM disks were harvested and analyzed for host cell infiltration. Onlay and injection techniques resulted in unique seeding patterns; however cell seeding efficiency and cell viability were similar. In-vivo studies showed significantly increased host cell infiltration towards the ASCs foci following injection seeding in comparison to control group (p < 0.05). Moreover, regional endothelial cell invasion was significantly greater in ASCs injected grafts in comparison to onlay seeding (p < 0.05). ADM can successfully be engrafted with ASCs. Interstitial engraftment of ASCs into ADM via injection enhances regional infiltration of host cells and angiogenesis, whereas onlay seeding showed relatively broad and superficial cell infiltration. These findings may be applied to improve the incorporation of avascular engineered constructs.

Fertilización o reemplazo de especies : revisión bibliográfica de los efectos sobre la productividad del pastizal natural

Los pastizales son los ecosistemas terrestres más extensos que existen en el mundo y se estima que ocupan un área de 52,2 millones de kilómetros cuadrados. Su productividad primaria neta aérea (PPNA) es una propiedad fundamental ya que determina la cantidad de energía que se encuentra disponible para otros niveles tróficos y está controlada por la calidad del suelo y la cantidad el agua. Suele intervenirse el pastizal para lograr diversos objetivos, tales como, aumentar y concentrar o distribuir la PPNA durante el año y aumentar la calidad forrajera de las especies que lo componen. Este trabajo tiene por objetivo responder a dos cuestiones inherentes a la productividad primaria neta de los pastizales: la primera es evaluar el impacto de la fertilización sobre la producción de los pastizales con Nitrógeno (N), Fósforo (P) y ambos (N+P). Y la segunda es evaluar el efecto sobre la producción de biomasa aérea del reemplazo de las comunidades originales del pastizal por una o varias especies forrajeras, las cuales pueden ser exóticas o naturalizadas. Para conseguir estos objetivos se realizó una revisión bibliográfica y un análisis de los datos cuantitativos publicados en diferentes revistas científicas y técnicas con y sin referato. La productividad de los tratamientos de corrección de la fertilidad edáfica con N; N+P y P se diferenciaron estadísticamente (p menor a 0,0001) de la producción del pastizal natural. Al analizar, en promedio, el incremento de biomasa producido se destaca en primer lugar el tratamiento N+P con 1825 kg MS/ha/año, le sigue el tratamiento con N con 768 kg MS/ha/año y en último lugar es el tratamiento P con 531 kg MS/ha/año. En el rango de precipitación entre los 800 y 1.140 mm, similar a los de la región pampeana, la PPNA de las pasturas implantadas se diferenció estadísticamente, (p menor a 0,0001), mediante una prueba t, de la PPNA de los pastizales. La media de producción de los pastizales fue de 3.933 kg MS/ha/año y de las pasturas fue de 5.763 kg MS/ha/año. En la mayoría de los ensayos la productividad de la pastura bajo la misma precipitación fue superior a la del pastizal.

Fertilización foliar complementaria en cultivo de soja de primera

El uso continuo de los suelos desde hace décadas con una exportación permanente de nutrientes a través de los granos, y la escasa o nula reposición mineral implicó una disminución en la productividad principalmente en aquellos sitios con prolongada historia agrícola y ausencia de actividad ganadera. En los últimos años, el uso de cultivares de alto potencial de rendimiento y la fertilización con nitrógeno (N), fósforo (P) y azufre (S) incrementaron los niveles de producción, y con ello la extracción de micronutrientes del suelo, sin que fueran repuestos por fertilización. Varios especialistas observaron deficiencia de algunos micronutrientes en suelos de la región pampeana y diferentes niveles de respuesta al agregado de estos microelementos vía foliar en diversos cultivos. Esta problemática nos movilizó a estudiar a la fertilización foliar como una técnica para proveer micronutrientes a los cultivos, en dosis y estadios fenológicos adecuados. Dada la importancia del cultivo de soja como motor de la economía nacional y teniendo en cuenta el incremento en la superficie sembrada por ser un cultivo rentable y de bajo riesgo empresarial, se ha decidido evaluar la respuesta que esta oleaginosa presenta a la fertilización foliar con micronutrientes en el estadio R3, utilizando dicha tecnología como un complemento de la fertilización de base. El estado R3 fue escogido dada su relevancia fisiológica: el cuajado de vainas se considera la fase inicial del período crítico en soja, y operativa: en los últimos años, se ha sugerido como el estado ideal para la aplicación de fungicidas, permitiendo así la aplicación conjunta con los fertilizantes foliares. El estudio se realizó en 10 lotes de productores del partido de Rojas, sobre suelos serie Rojas, Argiudoles típicos. Se comparó el rendimiento en grano de un tratamiento de 8 litros de fertilizante foliar FERTIDEG con un testigo sin fertilizar. El experimento se diseñó en bloques completos aleatorizados y los datos se analizaron con el método estadístico ANOVA. Se realizó la prueba de Fmáx de Hartley o prueba de homogeneidad de variancia, donde no se descartó ningún sitio experimental. Al analizar cada localidad en forma individual, se rechazó la hipótesis nula en la que los efectos de los tratamientos son todos iguales en el 70 por ciento de los casos y se la aceptó en el 30 por ciento restante. La aplicación de micronutrientes, junto a pequeños aportes de macronutrientes vía foliar mostró ser un complemento efectivo de la fertilización de base en soja, para incrementar los rendimientos de grano en forma significativa, con valores promedios al 10 por ciento en lotes con historia agrícola prolongada y ausencia de actividad ganadera.

Integración de la cría bovina en sistemas de agricultura en siembra directa : cómo cambian las propiedades físicas?

El sistema integrado agrícola - ganadero (IAG) enmarcado bajo siembra directa (SD) presentaría ventajas relacionadas a la incorporación de carbono orgánico (CO) al suelo y a la diversificación previniendo diferentes escenarios climáticos y coyunturales. Sin embargo, la presencia del ganado en estos sistemas implica una potencial condición de compactación del suelo durante el pastoreo invernal de residuos de cosecha durante la fase agrícola. Por ello se analizaron los camios de las variables físicas consecuencia del pisoteo del ganado en diferentes escalas de percepción en suelos de la Región Pampeana Norte. A escala regional no se observaron diferencias en el stock de carbono entre el sistema agrícola continuo (AC) bajo SD respecto de los IAG en SD, siendo la resistencia a la penetración (RP) la única variable que permitió diferenciar entre los sistemas hasta los 0.075 m (IAG mayor a AC). El análisis de la dinámica de las variables físicas a escala lote, comparando parcelas pastoreadas (P) y no pastoreadas (NP), permitió observar la ausencia de efectos perjudiciales del pastoreo, siendo las fuerzas de resiliencia del suelo durante ese período superiores a las fuerzas exógenas al mismo. Por otro lado, la presencia de raíces vivas de los cultivos (maíz y soja) contribuyeron positivamente a la estructura del suelo, siendo el efecto de la operación de cosecha la que llevó a procesos de compactación. En particular, el análisis de la densidad aparente (DA) permitió descubrir la existencia de procesos de expansión originadas por la presión de aire entrampado mediante la existencia de poaching o amasado del suelo. A microescala, se evaluaron las curbas de contracción (CC), bajo diferentes manejos, el cuasi - prístino (CP) presentó las mejores características estructurales respecto de los AC e IAG. En el ensayo de simulación de pisada con diferentes contenidos hídricos (CH), se presentó una interacción entre CH y del CO del suelo. Finalmente, se compararon las CC obtenidas de IAG., en parcelas P y NP, de campo y laboratorio, cuyas curvas se separaban en las zonas de saturación hídrica, dando lugar a una fase denominada expansión interpedal. En general, se concluye que los IAG no presentaron un daño estructural que no permita su desarrollo, diversificando los productos ofrecidos y la estabilidad que esto provee.

Evaluación del contenido mineral en seis cultivares de zanahoria (Daucus carota L.)

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