Primary production during nutrient-induced blooms at elevated CO2 concentrations

Mesocosms experiments (PeECE II and PeECE III) were carried out in 9 transparent mesocosms. Prior to the experimental period, the seawater carbonate system was manipulated to achieve three different levels of CO2. At the onset of the experimental period, nutrients were added to all mesocosms in order to initiate phytoplankton blooms. Rates of primary production were measured by in-situ incubations using 14C-incorporation and oxygen production/consumption. Particulate primary production by 14C was also size fractionated and compared with phytoplankton species composition. Nutrient supply increased the primary production rates, and a net autotrophic phase with 14C-fixation rates up to 4 times higher than initial was observed midway through the 24 days experiment before net community production returned to near-zero and 14C-fixation rates relaxed back to lower than initial. We found a trend in the 14C-based measurements towards higher cumulative primary production at higher pCO2, consistent with recently published results for DIC removal (Riebesell et al., 2007). There where found differences to the size fractionated primary production response to CO2 treatments. The plankton composition changes throughout the bloom, however, resulted in no significant response until the final phase of the experiment where phytoplankton growth became nutrient limited, and phytoplankton community changed from diatom to flagellate dominance. This opens for the two alternative hypotheses that such an effect is associated with mineral nutrient limited growth, and/or with phytoplankton species composition. The lack of a clear net heterotrophic phase in the last part of the experiment supports the idea that a substantial part of production in the upper layer was not degraded locally, but either accumulated there or was exported vertically

A scalable parallel finite element framework for growing geometries. Application to metal additive manufacturing

This work introduces an innovative parallel, fully-distributed finite element framework for growing geometries and its application to metal additive manufacturing. It is well-known that virtual part design and qualification in additive manufacturing requires highly-accurate multiscale and multiphysics analyses. Only high performance computing tools are able to handle such complexity in time frames compatible with time-to-market. However, efficiency, without loss of accuracy, has rarely held the centre stage in the numerical community. Here, in contrast, the framework is designed to adequately exploit the resources of high-end distributed-memory machines. It is grounded on three building blocks: (1) Hierarchical adaptive mesh refinement with octree-based meshes; (2) a parallel strategy to model the growth of the geometry; (3) state-of-the-art parallel iterative linear solvers. Computational experiments consider the heat transfer analysis at the part scale of the printing process by powder-bed technologies. After verification against a 3D benchmark, a strong-scaling analysis assesses performance and identifies major sources of parallel overhead. A third numerical example examines the efficiency and robustness of (2) in a curved 3D shape. Unprecedented parallelism and scalability were achieved in this work. Hence, this framework contributes to take on higher complexity and/or accuracy, not only of part-scale simulations of metal or polymer additive manufacturing, but also in welding, sedimentation, atherosclerosis, or any other physical problem where the physical domain of interest grows in time

Students with Blindness Explore Chemistry at ‘Camp Can Do’

Students with blindness or low vision are often discouraged from full participation in laboratory science classes due to the inadequacy of current methodological approaches and the lack of sophisticated adaptive technologies. Consequently, these students rarely go on to pursue advanced studies and employment in the sciences. In response to his own frustrations as a scientist with blindness, Supalo conceived, co-founded, and managed the Independent Laboratory Access for the Blind (ILAB) project for his doctoral research in chemistry. Numerous multisensory tools, technologies, and methodologies for teaching the sciences to students with visual impairments were developed and evaluated by the ILAB team. In 2009 and 2010, these hands-on adaptations were used by students with blindness and low vision from throughout the Caribbean during a chemistry workshop at a one-week summer camp held on the island of Tobago. Led by Supalo during the first-ever Camp Can Do in 2009 and Wohlers during 2010, the chemistry workshop successfully introduced the students to some basic chemical reactions and the most current adaptive technologies available for the laboratory sciences. For many of the students, Camp Can Do represented the first real opportunity to learn about science and technology with a hands-on approach

Algorithm engineering for optimal alignment of protein structure distance matrices

Protein structural alignment is an important problem in computational biology. In this paper, we present first successes on provably optimal pairwise alignment of protein inter-residue distance matrices, using the popular Dali scoring function. We introduce the structural alignment problem formally, which enables us to express a variety of scoring functions used in previous work as special cases in a unified framework. Further, we propose the first mathematical model for computing optimal structural alignments based on dense inter-residue distance matrices. We therefore reformulate the problem as a special graph problem and give a tight integer linear programming model. We then present algorithm engineering techniques to handle the huge integer linear programs of real-life distance matrix alignment problems. Applying these techniques, we can compute provably optimal Dali alignments for the very first time

Talking Tools to Assist Students Who are Blind in Laboratory Courses

A number of tools and techniques have been developed to assist students with blindness and visual impairment who are studying in secondary and post-secondary science laboratories. Commercial electronic probes and their associated software packages allow real-time viewing and collection of data using a personal computer; however, until now, these data have been inaccessible to students with blindness or visual impairment because of the incompatibility of the data acquisition software with screen-reading software. Recent programming modifications now allow a new level of compatibility, which promotes a greater degree of independence and accessibility to laboratory science for people with visual impairments

Shepard avocado maturity consumer sensory research

Dry matter content (DM) of avocados represents the amount of carbohydrates and nutrients that have been transported from the tree into the fruit. The longer the avocado remains on the tree, the higher the dry matter, and consequently, %DM is used by growers to decide when avocados are ready to harvest. In the current study, 112 consumers tasted ‘Shepard’, a variety of avocado that can be harvested early in the season. The avocados were collected from a range of locations in Northern Queensland in order to ensure that fruit of varying maturity (%DM) were available for tasting at the same time. Consumers’ liking of flavour increased progressively as the DM content of avocados increased from 18% to 23% but then reached a plateau, where further increases in DM did not result in corresponding increases in liking. The immature (lower DM) avocados were frequently described as having ‘bland/tasteless’ or ‘watery’ flavour as well as being less liked than other avocados. Following tasting, consumers were asked about their experience with avocados and the extent that a quality guarantee offering to refund or replace damaged fruit might increase purchasing. Consumers continued to report a high incidence and severity of damage in the avocados they purchased for consumption at home. The study indicated that consumers’ willingness to buy avocados increased as a consequence of the quality guarantee

Shepard avocado maturity consumer sensory research

Dry matter content (DM) of avocados represents the amount of carbohydrates and nutrients that have been transported from the tree into the fruit. The longer the avocado remains on the tree, the higher the dry matter, and consequently, %DM is used by growers to decide when avocados are ready to harvest. In the current study, 112 consumers tasted ‘Shepard’, a variety of avocado that can be harvested early in the season. The avocados were collected from a range of locations in Northern Queensland in order to ensure that fruit of varying maturity (%DM) were available for tasting at the same time. Consumers’ liking of flavour increased progressively as the DM content of avocados increased from 18% to 23% but then reached a plateau, where further increases in DM did not result in corresponding increases in liking. The immature (lower DM) avocados were frequently described as having ‘bland/tasteless’ or ‘watery’ flavour as well as being less liked than other avocados. Following tasting, consumers were asked about their experience with avocados and the extent that a quality guarantee offering to refund or replace damaged fruit might increase purchasing. Consumers continued to report a high incidence and severity of damage in the avocados they purchased for consumption at home. The study indicated that consumers’ willingness to buy avocados increased as a consequence of the quality guarantee

Availability of phosphate for phytoplankton and bacteria and of labile organic carbon for bacteria at different pCO2 levels in a mesocosm study

Availability of phosphate for phytoplankton and bacteria and of glucose for bacteria at different pCO2 levels were studied in a mesocosm experiment (PeECE III). Using nutrient-depleted SW Norwegian fjord waters, three different levels of pCO2 (350 μatm: 1×CO2; 700 μatm: 2×CO2; 1050 μatm: 3×CO2) were set up, and nitrate and phosphate were added at the start of the experiment in order to induce a phytoplankton bloom. Despite similar responses of total particulate P concentration and phosphate turnover time at the three different pCO2 levels, the size distribution of particulate P and 33PO4 uptake suggested that phosphate transferred to the >10 μm fraction was greater in the 3×CO2 mesocosm during the first 6–10 days when phosphate concentration was high. During the period of phosphate depletion (after Day 12), specific phosphate affinity and specific alkaline phosphatase activity (APA) suggested a P-deficiency (i.e. suboptimal phosphate supply) rather than a P-limitation for the phytoplankton and bacterial community at the three different pCO2 levels. Specific phosphate affinity and specific APA tended to be higher in the 3×CO2 than in the 2×CO2 and 1×CO2 mesocosms during the phosphate depletion period, although no statistical differences were found. Glucose turnover time was correlated significantly and negatively with bacterial abundance and production but not with the bulk DOC concentration. This suggests that even though constituting a small fraction of the bulk DOC, glucose was an important component of labile DOC for bacteria. Specific glucose affinity of bacteria behaved similarly at the three different pCO2 levels with measured specific glucose affinities being consistently much lower than the theoretical maximum predicted from the diffusion-limited model. This suggests that bacterial growth was not severely limited by the glucose availability. Hence, it seems that the lower availability of inorganic nutrients after the phytoplankton bloom reduced the bacterial capacity to consume labile DOC in the upper mixed layer of the stratified mesocosms

Embracing additive manufacture: implications for foot and ankle orthosis design

<p>Abstract</p> <p>Background</p> <p>The design of foot and ankle orthoses is currently limited by the methods used to fabricate the devices, particularly in terms of geometric freedom and potential to include innovative new features. Additive manufacturing (AM) technologies, where objects are constructed via a series of sub-millimetre layers of a substrate material, may present the opportunity to overcome these limitations and allow novel devices to be produced that are highly personalised for the individual, both in terms of fit and functionality.</p> <p>Two novel devices, a foot orthosis (FO) designed to include adjustable elements to relieve pressure at the metatarsal heads, and an ankle foot orthosis (AFO) designed to have adjustable stiffness levels in the sagittal plane, were developed and fabricated using AM. The devices were then tested on a healthy participant to determine if the intended biomechanical modes of action were achieved.</p> <p>Results</p> <p>The adjustable, pressure relieving FO was found to be able to significantly reduce pressure under the targeted metatarsal heads. The AFO was shown to have distinct effects on ankle kinematics which could be varied by adjusting the stiffness level of the device.</p> <p>Conclusions</p> <p>The results presented here demonstrate the potential design freedom made available by AM, and suggest that it may allow novel personalised orthotic devices to be produced which are beyond the current state of the art.</p