Bioequivalence of Docosahexaenoic Acid from Different Algal Oils in Capsules and in a DHA-Fortified Food

Docosahexaenoic acid (DHA), a long-chain omega-3 fatty acid, is important for eye and brain development and ongoing visual, cognitive, and cardiovascular health. Unlike fish-sourced oils, the bioavailability of DHA from vegetarian-sourced (algal) oils has not been formally assessed. We assessed bioequivalence of DHA oils in capsules from two different algal strains versus bioavailability from an algal-DHA-fortified food. Our 28-day randomized, placebo-controlled, parallel group study compared bioavailability of (a) two different algal DHA oils in capsules ("DHASCO-T" and "DHASCO-S") at doses of 200, 600, and 1,000 mg DHA per day (n = 12 per group) and of (b) an algal-DHA-fortified food (n = 12). Bioequivalence was based on changes in plasma phospholipid and erythrocyte DHA levels. Effects on arachidonic acid (ARA), docosapentaenoic acid-n-6 (DPAn-6), and eicosapentaenoic acid (EPA) were also determined. Both DHASCO-T and DHASCO-S capsules produced equivalent DHA levels in plasma phospholipids and erythrocytes. DHA response was dose-dependent and linear over the dose range, plasma phospholipid DHA increased by 1.17, 2.28 and 3.03 g per 100 g fatty acid at 200, 600, and 1,000 mg dose, respectively. Snack bars fortified with DHASCO-S oil also delivered equivalent amounts of DHA on a DHA dose basis. Adverse event monitoring revealed an excellent safety and tolerability profile. Two different algal oil capsule supplements and an algal oil-fortified food represent bioequivalent and safe sources of DHA.     

Use of the frequency dependence of the impedance to monitor viscosity during cure

The ability to conveniently and continuously measure the processing properties of polymer resins is important both to the resin supplier and to the fabricator. Frequency dependent electromagnetic sensors (FDEMS) provide an in-situ technique for continuous measurement of the resin's rheological changes both in a laboratory press and in manufacturing tools in an autoclave. In this paper the frequency dependence of ?*(w) is used to quantitatively monitor the viscosity for a tetraglycidyl 4,4′-diaminodiphenyl methane (TGDDM) amine epoxy, to quantitatively monitor the viscosity during processing In a styrene-polyester resin, and to monitor the cure process in an autoclave during cure of a high temperature polyimide-graphite prepreg. In addition, the technique is used to measure the viscosity at various ply positions in a thick TGDDM graphite epoxy laminate during processing in an autoclave.     

Fracture and Subcritical Crack-Growth Behavior of Y-Si-Al-O-N Glasses and Si3N4 Ceramics

Fracture and environmentally assisted subcritical crack-growth processes are examined in bulk Y-Si-Al-O-N oxynitride glasses with compositions typical of the grain boundary phase of silicon nitride ceramics. Both long-crack (in compact tension specimens) as well as short-crack behavior (using indentation techniques) were investigated to establish a reliable fracture toughness and to elucidate the anomalous densification behavior of the oxynitride glass. Environmentally assisted subcritical crack-growth processes were studied in inert, moist, and wet environments under both cyclic and static loading conditions. Behavior is discussed in terms of the interaction of the environment with the crack tip. Likely mechanisms for environmentally assisted crack growth are discussed and related to the subcritical crack-growth behavior of silicon nitride ceramics.     

In situ neutron diffraction measurement of strain relaxation in welds during heat treatment

Neutron diffraction (ND) is commonly used to investigate the stress redistribution before and after post-weld heat treatment (PWHT) in welded structures. However, there is a lack of information on the evaluations of strains during PWHT. The present work employed in situ ND to measure the relaxation of residual strains during conventional PWHT in multi-pass high-strength low-alloy steel welds. It was found that strain relaxation occurs principally during the heating stage of the heat treatment. The findings have important economic bearings and can be used to characterise comparable material combinations and optimise the PWHT process for high-strength low-alloy weld joints. This unique information also provides a valuable benchmark for the finite element modelling of this complex process.     

A new method for accelerated shelf‐life prediction for frozen foods

Shelf‐life estimation for frozen foods can be a long process because of the long duration of shelf‐life at the lower temperatures of storage. A variety of rapid procedures have been proposed to suggest whether products will have acceptable shelf‐lives at low storage temperatures. These all have limitations. In this paper a new procedure is proposed which involves direct determination of shelf‐lives at the more elevated frozen storage temperatures, where change is more rapid. This is coupled with utilisation of information on the mobility temperature to establish a low‐temperature storage datum. A plot of expected shelf‐life as a function of temperature is produced using these two data sources. The effectiveness of the procedure is validated using existing literature data and newly generated data. The procedure allows for the effective estimation of the low‐temperature storage life of a product utilising data collected on the product in question. It requires around 60 days, while effectively estimating the storage temperatures required to achieve target shelf‐lives of 1 year, 18 months, 2 years or even longer. Copyright © 2003 Society of Chemical Industry     

The Asian cyclopoid copepod Mesocyclops pehpeiensis Hu 1943 reported from the western basin of Lake Erie

The Asian cyclopoid copepod Mesocyclops pehpeiensis Hu, 1943 has been reported as an introduced species at several locations in the western hemisphere. In the United States, reports of this exotic species are restricted to localities in Louisiana, Mississippi, and Washington D.C. This report documents a new record of occurrence for M. pehpeiensis from the western basin of Lake Erie. The detection of M. pehpeiensis in Lake Erie constitutes the first record of this species from the Laurentian Great Lakes, and the northernmost record in the western hemisphere. The species was found in 2016, 2017 and 2018, including females with egg sacs, and can therefore be considered established in the area. The occurrence of M. pehpeiensis in Lake Erie suggests that this Asian copepod may be more widely distributed in North America than is currently understood.     

A multiscale parallel computing architecture for automated segmentation of the brain connectome

Several groups in neurobiology have embarked into deciphering the brain circuitry using large-scale imaging of a mouse brain and manual tracing of the connections between neurons. Creating a graph of the brain circuitry, also called a connectome, could have a huge impact on the understanding of neurodegenerative diseases such as Alzheimer's disease. Although considerably smaller than a human brain, a mouse brain already exhibits one billion connections and manually tracing the connectome of a mouse brain can only be achieved partially. This paper proposes to scale up the tracing by using automated image segmentation and a parallel computing approach designed for domain experts. We explain the design decisions behind our parallel approach and we present our results for the segmentation of the vasculature and the cell nuclei, which have been obtained without any manual intervention.     

Lateral compression of tubes and tube-systems with side constraints

The quasi-static diametral compression of a tube constrained so that its horizontal diameter cannot increase is considered both theoretically and experimentally. The relationship between the behaviour of a single tube and a nest of tubes is examined experimentally and the role of “closed” system in energy absorption is discussed.     

Global Stereo Reconstruction under Second-Order Smoothness Priors

Second-order priors on the smoothness of 3D surfaces are a better model of typical scenes than first-order priors. However, stereo reconstruction using global inference algorithms, such as graph cuts, has not been able to incorporate second-order priors because the triple cliques needed to express them yield intractable (nonsubmodular) optimization problems. This paper shows that inference with triple cliques can be effectively performed. Our optimization strategy is a development of recent extensions to alpha-expansion, based on the ldquo QPBOrdquo algorithm. The strategy is to repeatedly merge proposal depth maps using a novel extension of QPBO. Proposal depth maps can come from any source, for example, frontoparallel planes as in alpha-expansion, or indeed any existing stereo algorithm, with arbitrary parameter settings.