Decline in Coccolithophore Diversity and Impact on Coccolith Morphogenesis Along a Natural CO2 Gradient

A natural pH gradient caused by marine CO2 seeps off Vulcano Island (Italy) was used to assess the effects of ocean acidification on coccolithophores, which are abundant planktonic unicellular calcifiers. Such seeps are used as natural laboratories to study the effects of ocean acidification on marine ecosystems, since they cause long-term changes in seawater carbonate chemistry and pH, exposing the organisms to elevated CO2 concentrations and therefore mimicking future scenarios. Previous work at CO2 seeps has focused exclusively on benthic organisms. Here we show progressive depletion of 27 coccolithophore species, in terms of cell concentrations and diversity, along a calcite saturation gradient from Omega calcite 6.4 to <1. Water collected close to the main CO2 seeps had the highest concentrations of malformed Emiliania huxleyi. These observations add to a growing body of evidence that ocean acidification may benefit some algae but will likely cause marine biodiversity loss, especially by impacting calcifying species, which are affected as carbonate saturation falls.

Seawater carbonate chemistry, calcification and Zn uptake during experiments with coral Stylophora pistillata, 2011

Many studies have investigated the effect of an increase in pCO2 on coral calcification and photosynthesis but the physiological consequences are still relatively speculative. We investigated the effects of ocean acidification on zinc incorporation and gross calcification in the scleractinian coral Stylophora pistillata. Zn is an essential element for health and growth of corals. Colonies were maintained at normal pHT (8.1) and at two low-pH conditions (7.8 and 7.5) during 5 weeks. Corals were exposed to 65Zn dissolved in seawater to assess uptake rates of this element. After 5 weeks, 65Zn activity measured in the whole coral and in the two compartments: tissue and skeleton, differed significantly between pH conditions with concentration factors higher at pHT 8.1, compared to lower pH. Zn is therefore taken less efficiently by corals at reduced pH. Their gross calcification, as measured by 45Ca incorporation, photosynthesis and photosynthetic efficiency did not change with pH even at the lowest level.

The influence of seawater pH on U/ Ca ratios in the scleractinian cold-water coral Lophelia pertusa

The increasing pCO2 in seawater is a serious threat for marine calcifiers and alters the biogeochemistry of the ocean. Therefore, the reconstruction of past-seawater properties and their impact on marine ecosystems is an important way to investigate the underlying mechanisms and to better constrain the effects of possible changes in the future ocean. Cold-water coral (CWC) ecosystems are biodiversity hotspots. Living close to aragonite undersaturation, these corals serve as living laboratories as well as archives to reconstruct the boundary conditions of their calcification under the carbonate system of the ocean. We investigated the reef-building CWC Lophelia pertusa as a recorder of intermediate ocean seawater pH. This species-specific field calibration is based on a unique sample set of live in situ collected L. pertusa and corresponding seawater samples. These data demonstrate that uranium speciation and skeletal incorporation for azooxanthellate scleractinian CWCs is pH dependent and can be reconstructed with an uncertainty of ±0.15. Our Lophelia U / Ca-pH calibration appears to be controlled by the high pH values and thus highlighting the need for future coral and seawater sampling to refine this relationship. However, this study recommends L. pertusa as a new archive for the reconstruction of intermediate water mass pH and hence may help to constrain tipping points for ecosystem dynamics and evolutionary characteristics in a changing ocean.

Some practical guidance for the computation of free trade agreement utilization rates

The literature on the use of free trade agreements (FTAs) has recently been growing because it is becoming more important to encourage the use of current FTAs than to increase the number of FTAs. In this paper, we discuss some practical issues in the computation of FTA utilization rates, which provide a useful measure to discover how much FTA schemes are used in trade. For example, compared with the use of customs data on FTA utilization in imports, when using certificates of origin data on FTA utilization in exports, there are several points about which we should be careful. Our practical guidance on the computation of FTA utilization rates will be helpful when computing such rates and in examining the determinants of those rates empirically.

Role of laboratories for adapting product-related environmental regulations (PRERs)

This paper examines how a country which has been successful in creating agglomeration of a manufacturing industry has faced various types of product-related environmental regulations. Then the paper shows how the government and testing laboratory have taken measures to adapt to PRERs overseas in response to the needs by firms affected by regulations. In reaction to the introductions of PRERs overseas, Malaysia also has introduced equivalent policies domestically, proving that PRERs have spread to Malaysia.

Role of laboratories for adapting product-related environmental regulations (PRERs)

This paper examines how a country which has been successful in creating agglomeration of a manufacturing industry has faced various types of product-related environmental regulations. Then the paper shows how the government and testing laboratory have taken measures to adapt to PRERs overseas in response to the needs by firms affected by regulations. In reaction to the introductions of PRERs overseas, Malaysia also has introduced equivalent policies domestically, proving that PRERs have spread to Malaysia.

Role of laboratories for adapting product-related environmental regulations (PRERs)

This paper examines how a country which has been successful in creating agglomeration of a manufacturing industry has faced various types of product-related environmental regulations. Then the paper shows how the government and testing laboratory have taken measures to adapt to PRERs overseas in response to the needs by firms affected by regulations. In reaction to the introductions of PRERs overseas, Malaysia also has introduced equivalent policies domestically, proving that PRERs have spread to Malaysia.

Role of laboratories for adapting product-related environmental regulations (PRERs)

This paper examines how a country which has been successful in creating agglomeration of a manufacturing industry has faced various types of product-related environmental regulations. Then the paper shows how the government and testing laboratory have taken measures to adapt to PRERs overseas in response to the needs by firms affected by regulations. In reaction to the introductions of PRERs overseas, Malaysia also has introduced equivalent policies domestically, proving that PRERs have spread to Malaysia.

Role of laboratories for adapting product-related environmental regulations (PRERs)

This paper examines how a country which has been successful in creating agglomeration of a manufacturing industry has faced various types of product-related environmental regulations. Then the paper shows how the government and testing laboratory have taken measures to adapt to PRERs overseas in response to the needs by firms affected by regulations. In reaction to the introductions of PRERs overseas, Malaysia also has introduced equivalent policies domestically, proving that PRERs have spread to Malaysia.

Design and Optimization of Power Delivery and Distribution Systems Using Evolutionary Computation Techniques

Nowadays computing platforms consist of a very large number of components that require to be supplied with diferent voltage levels and power requirements. Even a very small platform, like a handheld computer, may contain more than twenty diferent loads and voltage regulators. The power delivery designers of these systems are required to provide, in a very short time, the right power architecture that optimizes the performance, meets electrical specifications plus cost and size targets. The appropriate selection of the architecture and converters directly defines the performance of a given solution. Therefore, the designer needs to be able to evaluate a significant number of options in order to know with good certainty whether the selected solutions meet the size, energy eficiency and cost targets. The design dificulties of selecting the right solution arise due to the wide range of power conversion products provided by diferent manufacturers. These products range from discrete components (to build converters) to complete power conversion modules that employ diferent manufacturing technologies. Consequently, in most cases it is not possible to analyze all the alternatives (combinations of power architectures and converters) that can be built. The designer has to select a limited number of converters in order to simplify the analysis. In this thesis, in order to overcome the mentioned dificulties, a new design methodology for power supply systems is proposed. This methodology integrates evolutionary computation techniques in order to make possible analyzing a large number of possibilities. This exhaustive analysis helps the designer to quickly define a set of feasible solutions and select the best trade-off in performance according to each application. The proposed approach consists of two key steps, one for the automatic generation of architectures and other for the optimized selection of components. In this thesis are detailed the implementation of these two steps. The usefulness of the methodology is corroborated by contrasting the results using real problems and experiments designed to test the limits of the algorithms.

Distributed models in P-Systems architectures to reduce computation time

Membrane systems are computational equivalent to Turing machines. However, their distributed and massively parallel nature obtains polynomial solutions opposite to traditional non-polynomial ones. At this point, it is very important to develop dedicated hardware and software implementations exploiting those two membrane systems features. Dealing with distributed implementations of P systems, the bottleneck communication problem has arisen. When the number of membranes grows up, the network gets congested. The purpose of distributed architectures is to reach a compromise between the massively parallel character of the system and the needed evolution step time to transit from one configuration of the system to the next one, solving the bottleneck communication problem. The goal of this paper is twofold. Firstly, to survey in a systematic and uniform way the main results regarding the way membranes can be placed on processors in order to get a software/hardware simulation of P-Systems in a distributed environment. Secondly, we improve some results about the membrane dissolution problem, prove that it is connected, and discuss the possibility of simulating this property in the distributed model. All this yields an improvement in the system parallelism implementation since it gets an increment of the parallelism of the external communication among processors. Proposed ideas improve previous architectures to tackle the communication bottleneck problem, such as reduction of the total time of an evolution step, increase of the number of membranes that could run on a processor and reduction of the number of processors.

Dendritic-Like Reliable Computation in Artificial Neurons

Dendritic computation is a term that has been in neuro physiological research for a long time [1]. It is still controversial and far for been clarified within the concepts of both computation and neurophysiology [2], [3]. In any case, it hasnot been integrated neither in a formal computational scheme or structure, nor into formulations of artificial neural nets. Our objective here is to formulate a type of distributed computation that resembles dendritic trees, in such a way that it shows the advantages of neural network distributed computation, mostly the reliability that is shown under the existence of holes (scotomas) in the computing net, without ?blind spots?.

Efficient term size computation for granularity control

Knowing the size of the terms to which program variables are bound at run-time in logic programs is required in a class of optimizations which includes granularity control and recursion elimination. Such size is difficult to even approximate at compile time and is thus generally computed at run-time by using (possibly predeñned) predicates which traverse the terms involved. We propose a technique which has the potential of performing this computation much more efficiently. The technique is based on ñnding program procedures which are called before those in which knowledge regarding term sizes is needed and which traverse the terms whose size is to be determined, and transforming such procedures so that they compute term sizes "on the fly". We present a systematic way of determining whether a given program can be transformed in order to compute a given term size at a given program point without additional term traversal. Also, if several such transformations are possible our approach allows ñnding minimal transformations under certain criteria. We also discuss the advantages and applications of our technique (specifically in the task of granularity control) and present some performance results.