Biochemical Studies on the Protective Effect of Taurine on Experimentally Induced Fulminat Hepatic Failure in Rats

Fulminant hepatic failure (FHF) is a dramatic and challenging syndrome in clinical medicine. Although an uncommon disorder, it is usually fatal and occurs in previously healthy person. While the causes of FHF remain unclear, viral hepatitis and drug-induced liver injury account for the majority of cases. Hepatitis E causes large-scale epidemics of hepatitis in the Indian subcontinent, involving hundreds of thousands of cases with high mortality. FHF is associated with several clinical features like jaundice, shrunken liver, easy bruising, low levels of serum proteins, fatigue, multi-organ failure etc and metabolic derangements like hypoglycemia, hyperlipidemia, hyponatremia, defective protein synthesis, reduced energy production, decreased rate of urea production etc. These disturbances are predominantly attributed to oxidative stress, membrane destabilization and osmolytic imbalances. The options available for these patients are quite minimal with liver transplantation being one of them. But the procedure is ridden with issues causing it to find less favor among the patients and the caregivers. Use of hepatoprotective and cytoprotective drugs, is being considered to be a more acceptable alternative as a strategy to enhance liver regeneration. In this regard use of taurine a naturally occurring amino acid that plays a crucial role in many physiological processes would prove to be effective. In the present study, hepatoprotective effect of taurine on a rat model of induced FHF was studied. Taurine supplementation has effectively counteracted the metabolic and structural aberrations in the liver caused by D-galactosamine intoxication.

Angepasste Kommunikationssysteme für den effizienten Einsatz in dezentralen elektrischen Versorgungsstrukturen

Angepasste Kommunikationssysteme für den effizienten Einsatz in dezentralen elektrischen Versorgungsstrukturen - In öffentlichen Elektrizitätsnetzen wird der Informationsaustausch seit längerem durch historisch gewachsene und angepasste Systeme erfolgreich bewerkstelligt. Basierend auf einem weiten Erfahrungsspektrum und einer gut ausgebauten Kommunikationsinfrastruktur stellt die informationstechnische Anbindung eines Teilnehmers im öffentlichen Versorgungsnetz primär kein Hemmnis dar. Anders gestaltet sich dagegen die Situation in dezentralen Versorgungsstrukturen. Da die Elektrifizierung von dezentralen Versorgungsgebieten, mittels der Vernetzung vieler verteilter Erzeugungsanlagen und des Aufbaus von nicht an das öffentliche Elektrizitätsnetz angeschlossenen Verteilnetzen (Minigrids), erst in den letzten Jahren an Popularität gewonnen hat, sind nur wenige Projekte bis dato abgeschlossen. Für die informationstechnische Anbindung von Teilnehmern in diesen Strukturen bedeutet dies, dass nur in einem sehr begrenzten Umfang auf Erfahrungswerte bei der Systemauswahl zurückgegriffen werden kann. Im Rahmen der Dissertation ist deshalb ein Entscheidungsfindungsprozess (Leitfaden für die Systemauswahl) entwickelt worden, der neben einem direkten Vergleich von Kommunikationssystemen basierend auf abgeleiteten Bewertungskriterien und Typen, der Reduktion des Vergleichs auf zwei Systemwerte (relativer Erwartungsnutzenzuwachs und Gesamtkostenzuwachs), die Wahl eines geeigneten Kommunikationssystems für die Applikation in dezentralen elektrischen Versorgungsstrukturen ermöglicht. In Anlehnung an die klassische Entscheidungstheorie werden mit der Berechnung eines Erwartungsnutzens je Kommunikationssystems, aus der Gesamtsumme der Einzelprodukte der Nutzwerte und der Gewichtungsfaktor je System, sowohl die technischen Parameter und applikationsspezifischen Aspekte, als auch die subjektiven Bewertungen zu einem Wert vereint. Mit der Ermittlung der jährlich erforderlichen Gesamtaufwendungen für ein Kommunikationssystem bzw. für die anvisierten Kommunikationsaufgaben, in Abhängigkeit der Applikation wird neben dem ermittelten Erwartungsnutzen des Systems, ein weiterer Entscheidungsparameter für die Systemauswahl bereitgestellt. Die anschließende Wahl geeigneter Bezugsgrößen erlaubt die Entscheidungsfindung bzgl. der zur Auswahl stehenden Systeme auf einen Vergleich mit einem Bezugssystem zurückzuführen. Hierbei sind nicht die absoluten Differenzen des Erwartungsnutzen bzw. des jährlichen Gesamtaufwandes von Interesse, sondern vielmehr wie sich das entsprechende System gegenüber dem Normal (Bezugssystem) darstellt. Das heißt, der relative Zuwachs des Erwartungsnutzen bzw. der Gesamtkosten eines jeden Systems ist die entscheidende Kenngröße für die Systemauswahl. Mit dem Eintrag der berechneten relativen Erwartungsnutzen- und Gesamtkostenzuwächse in eine neu entwickelte 4-Quadranten-Matrix kann unter Berücksichtigung der Lage der korrespondierenden Wertepaare eine einfache (grafische) Entscheidung bzgl. der Wahl des für die Applikation optimalsten Kommunikationssystems erfolgen. Eine exemplarisch durchgeführte Systemauswahl, basierend auf den Analyseergebnissen von Kommunikationssystemen für den Einsatz in dezentralen elektrischen Versorgungsstrukturen, veranschaulicht und verifiziert die Handhabung des entwickelten Konzeptes. Die abschließende Realisierung, Modifikation und Test des zuvor ausgewählten Distribution Line Carrier Systems unterstreicht des Weiteren die Effizienz des entwickelten Entscheidungsfindungsprozesses. Dem Entscheidungsträger für die Systemauswahl wird insgesamt ein Werkzeug zur Verfügung gestellt, das eine einfache und praktikable Entscheidungsfindung erlaubt. Mit dem entwickelten Konzept ist erstmals eine ganzheitliche Betrachtung unter Berücksichtigung sowohl der technischen und applikationsspezifischen, als auch der ökonomischen Aspekte und Randbedingungen möglich, wobei das Entscheidungsfindungskonzept nicht nur auf die Systemfindung für dezentrale elektrische Energieversorgungsstrukturen begrenzt ist, sondern auch bei entsprechender Modifikation der Anforderungen, Systemkenngrößen etc. auf andere Applikationsanwendungen übertragen werden.

Effects of plant diversity on bioenergy parameters in grassland biomass

Extensive grassland biomass for bioenergy production has long been subject of scientific research. The possibility of combining nature conservation goals with a profitable management while reducing competition with food production has created a strong interest in this topic. However, the botanical composition will play a key role for solid fuel quality of grassland biomass and will have effects on the combustion process by potentially causing corrosion, emission and slagging. On the other hand, botanical composition will affect anaerobic digestibility and thereby the biogas potential. In this thesis aboveground biomass from the Jena-Experiment plots was harvested in 2008 and 2009 and analysed for the most relevant chemical constituents effecting fuel quality and anaerobic digestibility. Regarding combustion, the following parameters were of main focus: higher heating value (HHV), gross energy yield (GE), ash content, ash softening temperature (AST), K, Ca, Mg, N, Cl and S content. For biogas production the following parameters were investigated: substrate specific methane yield (CH4 sub), area specific methane yield (CH4 area), crude fibre (CF), crude protein (CP), crude lipid (CL) and nitrogen-free extract (NfE). Furthermore, an improvement of the fuel quality was investigated through applying the Integrated generation of solid Fuel and Biogas from Biomass (IFBB) procedure. Through the specific setup of the Jena-Experiment it was possible to outline the changes of these parameters along two diversity gradients: (i) species richness (SR; 1 to 60 species) and (ii) functional group (grasses, legumes, small herbs and tall herbs) presence. This was a novel approach on investigating the bioenergy characteristic of extensive grassland biomass and gave detailed insight in the sward-composition¬ - bioenergy relations such as: (i) the most relevant SR effect was the increase of energy yield for both combustion (annual GE increased by 26% from SR8→16 and by 65% from SR8→60) and anaerobic digestion (annual CH4 area increased by 22% from SR8→16 and by 49% from SR8→60) through a strong interaction of SR with biomass yield; (ii) legumes play a key role for the utilization of grassland biomass for energy production as they increase the energy content of the substrate (HHV and CH4 sub) and the energy yield (GE and CH4 area); (iii) combustion is the conversion technique that will yield the highest energy output but requires an improvement of the solid fuel quality in order to reduce the risk of corrosion, emission and slagging related problems. This was achieved through applying the IFBB-procedure, with reductions in ash (by 23%), N (28%), K (85%), Cl (56%) and S (59%) and equal levels of concentrations along the SR gradient.

Evaluación de la biomasa como recurso energético renovable en Cataluña

El objetivo principal es la evaluación de la biomasa como recurso energético renovable en Cataluña. Su alcance requiere el estudio de diversas temáticas, desarrolladas en los doce capítulos que componen el documento.El Capítulo 1 describe los objetivos de la tesis. El Capítulo 2 describe los motivos que justifican la valorización energética del recurso biomasa. El Capítulo 3 presenta la metodología general utilizada. El Capítulo 4 realiza un análisis multicriterio del aprovechamiento energético de biomasa forestal. El Capítulo 5 cuantifica la biomasa disponible para usos energéticos en Cataluña. Los Capítulos 6, 7, 8 y 9 analizan las tecnologías y la viabilidad de la producción de energía con colza y chopo. El Capítulo 10 caracteriza físico-químicamente la biomasa de colza como combustible complementario al actual uso del grano para biodiesel. El Capítulo 11 evalua el uso de cultivos para la producción de productos químicos. El Capítulo 12 resume las Conclusiones generales.

Bezpieczeństwo energetyczne i ekologiczne na przykładzie węgla brunatnego w Polsce

The analysis in the text involves selected aspects of brown coal sector functioning in Poland. The analysis has been made in the context of Poland’s energy security and ecological safety, which seems important due to the need to implement low-emission energy policy. In relation to the sole fact that electricity production relies on coal, Poland will face the need to undertake major sector transformations in the coming 20-30 years. Two main parts of the text focus on the problem of energy security and ecological safety. In the earlier case, brief characteristic of the coal energy sector in Poland has been presented, namely the potential of brown coal, selected economic problems related to functioning of the sector, and orientation of Polish energy policy in this respect. In turn, the problem of ecological safety has been brought down to the impact of mines on the natural environment. Hence, the paper presents selected problems of threats to the natural and anthropogenic environment, as well as threats related to particular phases of energy production from brown coal. Furthermore, the text considers possible measures in the area of reclamation of areas where brown coal sector has been located. *** Przedmiotem analizy w tekście są wybrane aspekty funkcjonowania sektora węgla brunatnego w Polsce. Analiza ta została podjęta w kontekście bezpieczeństwa energetycznego i ekologicznego Polski, co wydaje się istotne, ze względu na konieczność wdrażania niskoemisyjnej polityki energetycznej. W związku z faktem oparcia produkcji energii elektrycznej na węglu w ogóle, Polskę czeka konieczność podjęcia poważnych przekształceń sektorowych w ciągu najbliższych 20-30 lat. Dwie główne części tekstu oparto na problematyce bezpieczeństwa energetycznego i bezpieczeństwa ekologicznego. W pierwszym przypadku przedstawiono krótką charakterystykę węglowego sektora energetycznego w Polsce, tj. potencjał węgla brunatnego, wybrane problemy gospodarcze związane z funkcjonowaniem tego sektora oraz kierunki polskiej polityki energetycznej w tym zakresie. Natomiast problem bezpieczeństwa ekologicznego został sprowadzony do wpływu kopalń na środowisko naturalne. Stąd w pracy przedstawiono wybraną problematykę zagrożeń dla środowiska naturalnego i antropogenicznego, także zagrożenia związane z poszczególnymi etapami produkcji energii pochodzącej z węgla brunatnego. Ponadto, w tekście uwzględniono potencjalne działania w zakresie rekultywacji obszarów, na których został zlokalizowany sektor węgla brunatnego.

Linking molecular and population stress responses in Daphnia magna exposed to cadmium

DNA microarrays can be used to measure environmental stress responses. If they are to be predictive of environmental impact, we need to determine if altered gene expression translates into negative impacts on individuals and populations. A large cDNA microarray (14000 spots) was created to measure molecular stress responses to cadmium in Daphnia magna,the most widely used aquatic indicator species, and relate responses to population growth rate (pgr). We used the array to detect differences in the transcription of genes in juvenile D. magna (24 h old) after 24 h exposure to a control and three cadmium concentrations (6, 20, and 37 mu g Cd2+ L-1). Stress responses at the population level were estimated following a further 8 days exposure. Pgr was approximately linear negative with increasing cadmium concentration over this range. The microarray profile of gene expression in response to acute cadmium exposure begins to provide an overview of the molecular responses of D. magna, especially in relation to growth and development. Of the responding genes, 29% were involved with metabolism including carbohydrate, fat and peptide metabolism, and energy production, 31% were involved with transcription/translation, while 40% of responding genes were associated with cellular processes like growth and moulting, ion transport, and general stress responses (which included oxidative stress). Our production and application of a large Daphnia magna microarray has shown that measured gene responses can be logically linked to the impact of a toxicant such as cadmium on somatic growth and development, and consequently pgr.

An improvement in clear-air turbulence forecasting based on spontaneous imbalance theory: the ULTURB algorithm

Recent research has shown that Lighthill–Ford spontaneous gravity wave generation theory, when applied to numerical model data, can help predict areas of clear-air turbulence. It is hypothesized that this is the case because spontaneously generated atmospheric gravity waves may initiate turbulence by locally modifying the stability and wind shear. As an improvement on the original research, this paper describes the creation of an ‘operational’ algorithm (ULTURB) with three modifications to the original method: (1) extending the altitude range for which the method is effective downward to the top of the boundary layer, (2) adding turbulent kinetic energy production from the environment to the locally produced turbulent kinetic energy production, and, (3) transforming turbulent kinetic energy dissipation to eddy dissipation rate, the turbulence metric becoming the worldwide ‘standard’. In a comparison of ULTURB with the original method and with the Graphical Turbulence Guidance second version (GTG2) automated procedure for forecasting mid- and upper-level aircraft turbulence ULTURB performed better for all turbulence intensities. Since ULTURB, unlike GTG2, is founded on a self-consistent dynamical theory, it may offer forecasters better insight into the causes of the clear-air turbulence and may ultimately enhance its predictability.

Food restriction reverses the hyper-muscular phenotype and force generation capacity deficit of the myostatin null mouse

Food restriction has a great impact on skeletal muscle mass by inducing muscle protein breakdown to provide substrates for energy production through gluconeogenesis. Genetic models of hyper-muscularity interfere with the normal balance between protein synthesis and breakdown which eventually results in extreme muscle growth. Mutations or deletions in the myostatin gene result in extreme muscle mass. Here we evaluated the impact of food restriction for a period of 5 weeks on skeletal muscle size (i.e., fibre cross-sectional area), fibre type composition and contractile properties (i.e., tetanic and specific force) in myostatin null mice. We found that this hyper-muscular model was more susceptible to catabolic processes than wild type mice. The mechanism of skeletal muscle mass loss was examined and our data shows that the myostatin null mice placed on a low calorie diet maintained the activity of molecules involved in protein synthesis and did not up-regulate the expression of genes pivotal in ubiquitin-mediated protein degradation. However, we did find an increase in the expression of genes associated with autophagy. Surprisingly, the reduction on muscle size was followed by improved tetanic and specific force in the null mice compared to wild type mice. These data provide evidence that food restriction may revert the hyper-muscular phenotype of the myostatin null mouse restoring muscle function.

Estimating the potential yield of small wind turbines in urban areas: a case study for Greater London, UK

To optimise the placement of small wind turbines in urban areas a detailed understanding of the spatial variability of the wind resource is required. At present, due to a lack of observations, the NOABL wind speed database is frequently used to estimate the wind resource at a potential site. However, recent work has shown that this tends to overestimate the wind speed in urban areas. This paper suggests a method for adjusting the predictions of the NOABL in urban areas by considering the impact of the underlying surface on a neighbourhood scale. In which, the nature of the surface is characterised on a 1 km2 resolution using an urban morphology database. The model was then used to estimate the variability of the annual mean wind speed across Greater London at a height typical of current small wind turbine installations. Initial validation of the results suggests that the predicted wind speeds are considerably more accurate than the NOABL values. The derived wind map therefore currently provides the best opportunity to identify the neighbourhoods in Greater London at which small wind turbines yield their highest energy production. The model does not consider street scale processes, however previously derived scaling factors can be applied to relate the neighbourhood wind speed to a value at a specific rooftop site. The results showed that the wind speed predicted across London is relatively low, exceeding 4 ms-1 at only 27% of the neighbourhoods in the city. Of these sites less than 10% are within 10 km of the city centre, with the majority over 20 km from the city centre. Consequently, it is predicted that small wind turbines tend to perform better towards the outskirts of the city, therefore for cities which fit the Burgess concentric ring model, such as Greater London, ‘distance from city centre’ is a useful parameter for siting small wind turbines. However, there are a number of neighbourhoods close to the city centre at which the wind speed is relatively high and these sites can only been identified with a detailed representation of the urban surface, such as that developed in this study.

CASCADE: An Agent Based Framework For Modeling The Dynamics Of Smart Electricity Systems

The Complex Adaptive Systems, Cognitive Agents and Distributed Energy (CASCADE) project is developing a framework based on Agent Based Modelling (ABM). The CASCADE Framework can be used both to gain policy and industry relevant insights into the smart grid concept itself and as a platform to design and test distributed ICT solutions for smart grid based business entities. ABM is used to capture the behaviors of diff erent social, economic and technical actors, which may be defi ned at various levels of abstraction. It is applied to understanding their interactions and can be adapted to include learning processes and emergent patterns. CASCADE models ‘prosumer’ agents (i.e., producers and/or consumers of energy) and ‘aggregator’ agents (e.g., traders of energy in both wholesale and retail markets) at various scales, from large generators and Energy Service Companies down to individual people and devices. The CASCADE Framework is formed of three main subdivisions that link models of electricity supply and demand, the electricity market and power fl ow. It can also model the variability of renewable energy generation caused by the weather, which is an important issue for grid balancing and the profi tability of energy suppliers. The development of CASCADE has already yielded some interesting early fi ndings, demonstrating that it is possible for a mediating agent (aggregator) to achieve stable demandfl attening across groups of domestic households fi tted with smart energy control and communication devices, where direct wholesale price signals had previously been found to produce characteristic complex system instability. In another example, it has demonstrated how large changes in supply mix can be caused even by small changes in demand profi le. Ongoing and planned refi nements to the Framework will support investigation of demand response at various scales, the integration of the power sector with transport and heat sectors, novel technology adoption and diffusion work, evolution of new smart grid business models, and complex power grid engineering and market interactions.

Activities related with electricity consumption in the Spanish residential sector: variations between days of the week, Autonomous Communities and size of towns

Nowadays the electricity consumption in the residential sector attracts policy and research efforts, in order to propose saving strategies and to attain a better balance between production and consumption, by integrating renewable energy production and proposing suitable demand side management methods. To achieve these objectives it is essential to have real information about household electricity demand profiles in dwellings, highly correlated, among other aspects, with the active occupancy of the homes and to the personal activities carried out in homes by their occupants. Due to the limited information related to these aspects, in this paper, behavioral factors of the Spanish household residents, related to the electricity consumption, have been determined and analyzed, based on data from the Spanish Time Use Surveys, differentiating among the Autonomous Communities and the size of municipalities, or the type of days, weekdays or weekends. Activities involving a larger number of houses are those related to Personal Care, Food Preparation and Washing Dishes. The activity of greater realization at homes is Watching TV, which together with Using PC, results in a high energy demand in an aggregate level. Results obtained enable identify prospective targets for load control and for efficiency energy reduction recommendations to residential consumers.

Biochemical characterization of serine acetyltransferase and cysteine desulfhydrase from Leishmania major

Cysteine metabolism exhibits atypical features in Leishmania parasites. The nucleotide sequence annotated as LmjF32.2640 encodes a cysteine desulfhydrase, which specifically catalyzes the breakdown of cysteine into pyruvate, NH(3) and H(2)S. Like in other pathogens, this capacity might be associated with regulatory mechanisms to control the intracellular level of cysteine, a highly toxic albeit essential amino acid, in addition to generate pyruvate for energy production. Besides, our results provide the first insight into the biochemical properties of Leishmania major serine acetyltransferase (SAT), which is likely involved in the two routes for de novo synthesis of cysteine in this pathogen. When compared with other members of SAT family, the N-terminal region of L. major homologue is uniquely extended, and seems to be essential for proper protein folding. Furthermore, unlike plant and bacterial enzymes, the carboxy-terminal-C(10) sequence stretch of L major SAT appears not to be implicated in forming a tight bi-enzyme complex with cysteine synthase. (C) 2010 Elsevier B.V. All rights reserved.

Biomechanical effects of environmental and engineered particles on human airway smooth muscle cells

The past decade has seen significant increases in combustion-generated ambient particles, which contain a nanosized fraction (less than 100 nm), and even greater increases have occurred in engineered nanoparticles (NPs) propelled by the booming nanotechnology industry. Although inhalation of these particulates has become a public health concern, human health effects and mechanisms of action for NPs are not well understood. Focusing on the human airway smooth muscle cell, here we show that the cellular mechanical function is altered by particulate exposure in a manner that is dependent upon particle material, size and dose. We used Alamar Blue assay to measure cell viability and optical magnetic twisting cytometry to measure cell stiffness and agonist-induced contractility. The eight particle species fell into four categories, based on their respective effect on cell viability and on mechanical function. Cell viability was impaired and cell contractility was decreased by (i) zinc oxide (40-100 nm and less than 44 mu m) and copper(II) oxide (less than 50 nm); cell contractility was decreased by (ii) fluorescent polystyrene spheres (40 nm), increased by (iii) welding fumes and unchanged by (iv) diesel exhaust particles, titanium dioxide (25 nm) and copper(II) oxide (less than 5 mu m), although in none of these cases was cell viability impaired. Treatment with hydrogen peroxide up to 500 mu M did not alter viability or cell mechanics, suggesting that the particle effects are unlikely to be mediated by particle-generated reactive oxygen species. Our results highlight the susceptibility of cellular mechanical function to particulate exposures and suggest that direct exposure of the airway smooth muscle cells to particulates may initiate or aggravate respiratory diseases.

Transcriptional Response to Hypoxia in the Aquatic Fungus Blastocladiella emersonii

Global gene expression analysis was carried out with Blastocladiella emersonii cells subjected to oxygen deprivation (hypoxia) using cDNA microarrays. In experiments of gradual hypoxia (gradual decrease in dissolved oxygen) and direct hypoxia (direct decrease in dissolved oxygen), about 650 differentially expressed genes were observed. A total of 534 genes were affected directly or indirectly by oxygen availability, as they showed recovery to normal expression levels or a tendency to recover when cells were reoxygenated. In addition to modulating many genes with no putative assigned function, B. emersonii cells respond to hypoxia by readjusting the expression levels of genes responsible for energy production and consumption. At least transcriptionally, this fungus seems to favor anaerobic metabolism through the upregulation of genes encoding glycolytic enzymes and lactate dehydrogenase and the downregulation of most genes coding for tricarboxylic acid (TCA) cycle enzymes. Furthermore, genes involved in energy-costly processes, like protein synthesis, amino acid biosynthesis, protein folding, and transport, had their expression profiles predominantly down-regulated during oxygen deprivation, indicating an energy-saving effort. Data also revealed similarities between the transcriptional profiles of cells under hypoxia and under iron(II) deprivation, suggesting that Fe(2+) ion could have a role in oxygen sensing and/or response to hypoxia in B. emersonii. Additionally, treatment of fungal cells prior to hypoxia with the antibiotic geldanamycin, which negatively affects the stability of mammalian hypoxia transcription factor HIF-1 alpha, caused a significant decrease in the levels of certain upregulated hypoxic genes.

A Genetic Algorithm for Solar Boat

Genetic algorithm has been widely used in different areas of optimization problems. Ithas been combined with renewable energy domain, photovoltaic system, in this thesis.To participate and win the solar boat race, a control program is needed and C++ hasbeen chosen for programming. To implement the program, the mathematic model hasbeen built. Besides, the approaches to calculate the boundaries related to conditionhave been explained. Afterward, the processing of the prediction and real time controlfunction are offered. The program has been simulated and the results proved thatgenetic algorithm is helpful to get the good results but it does not improve the resultstoo much since the particularity of the solar driven boat project such as the limitationof energy production