Transglutaminase cross-linking kinetics of sodium caseinate is changed after emulsification

Enzymatic cross-linking is an important method of modifying the structure of food products to control their texture and stability. In this paper we look at the effect that adsorption to the oil–water interface of triglyceride oil-in-water emulsion has on rates of cross-linking of sodium caseinate by microbial transglutaminase. The kinetics of cross-linking has also been assessed for the individual casein proteins within the caseinate. In solution the rates were α_s2-casein > β-casein > α_s1-casein > κ-casein. This order is not as expected given the rheomorphic nature of the proteins and the number of glutamine and lysine residues in each protein. In particular, the α_s1-casein was cross-linked much more slowly than expected. When sodium caseinate was adsorbed to an emulsion the rates for all constituent caseins were decreased but the cross-linking rate for α_s1-casein was markedly reduced, indicating the most significant change in accessibility following adsorption. This knowledge will facilitate optimal production of cross-linked emulsions for use in future studies aimed at engineering emulsions with improved nutritional quality.     

Global formulation for interactive multiobjective optimization

Interactive methods are useful and realistic multiobjective optimization techniques and, thus, many such methods exist. However, they have two important drawbacks when using them in real applications. Firstly, the question of which method should be chosen is not trivial. Secondly, there are rather few practical implementations of the methods. We introduce a general formulation that can accommodate several interactive methods. This provides a comfortable implementation framework for a general interactive system. Besides, this implementation allows the decision maker to choose how to give preference information to the system, and enables changing it anytime during the solution process. This change-of-method option provides a very flexible framework for the decision maker.     

Effects of ellagitannin‐rich berries on blood lipids,gut microbiota,and urolithin production in human subjects with symptoms of metabolic syndrome

Ellagitannins are polyphenols abundant in strawberries, raspberries, and cloudberries. The effects of a mixture of these berries were studied in a randomized controlled trial with subjects having symptoms of metabolic syndrome. The study focused on serum lipid profiles, gut microbiota, and ellagitannin metabolites. The results indicate that bioavailability of ellagitannins appears to be dependent on the composition of gut microbiota.     

Developmental Dynamics of Math Performance From Preschool to Grade 2.

This study investigated the developmental dynamics of mathematical performance during children's transition from preschool to Grade 2 and the cognitive antecedents of this development. 194 Finnish children were examined 6 times according to their math performance, twice during each year across a 3-year period. Cognitive antecedents, that is, counting ability, visual attention, metacognitive knowledge, and listening comprehension, were tested at the first measurement point. The results indicated that math performance showed high stability and increasing variance over time. Moreover, the growth of math competence was faster among those who entered preschool with an already high level of mathematical skills. The initial level of math performance, as well as its growth, was best predicted by counting ability. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Bayesian analysis of flaw sizing data of the NESC III exercise

Non-destructive inspections are performed to give confidence of the non-existence of flaws exceeding a certain safe limit in the inspected structural component. The principal uncertainties related to these inspections are the probability of not detecting an existing flaw larger than a given size, the probability of a false call, and the uncertainty related to the sizing of a flaw. Inspection reliability models aim to account for these uncertainties. This paper presents the analysis of sizing uncertainty of flaws for the results of the NESC III Round Robin Trials on defect-containing dissimilar metal welds. Model parameters are first estimated to characterize the sizing capabilities of various teams. A Bayesian updating of the flaw depth distribution is then demonstrated by combining information from measurement results and sizing performance.     

Investment incentives: regulation of the Finnish electricity distribution

Investments into the electricity distribution network are needed to support competition and to guarantee the security of supply as well as a good quality of electricity. The aim of this paper is to study the ex post regulatory system in Finland in context of investment incentives. The second objective is to study how the investments in the sector have developed after the liberalisation and what seem to be the most important factors influencing investments in light of empirical information and how regulation affects them. The investment volumes vary much between years but on average, no drastic developments have taken place.     

Improving convergence of evolutionary multi-objective optimization with local search: a concurrent-hybrid algorithm

A local search method is often introduced in an evolutionary optimization algorithm, to enhance its speed and accuracy of convergence to optimal solutions. In multi-objective optimization problems, the implementation of local search is a non-trivial task, as determining a goal for local search in presence of multiple conflicting objectives becomes a difficult task. In this paper, we borrow a multiple criteria decision making concept of employing a reference point based approach of minimizing an achievement scalarizing function and integrate it as a search operator with a concurrent approach in an evolutionary multi-objective algorithm. Simulation results of the new concurrent-hybrid algorithm on several two to four-objective problems compared to a serial approach, clearly show the importance of local search in aiding a computationally faster and accurate convergence to the Pareto optimal front.     

Do Large Intestinal Events Explain the Protective Effects of Whole Grain Foods Against Type 2 Diabetes?

Consumption of whole grain foods has been associated with decreased risk of type 2 diabetes. Insulin sensitivity and inflammation are key mechanisms in the development of type 2 diabetes, but the cause of the protective effects of whole grains is not known. In this review, we search for evidence to support the hypothesis of a link between whole grains, large intestinal events, and peripheral inflammation. Due to the unique structure and composition of the grain fiber complex, fermentation in the large intestine is probably an important mediator of the effects of whole grains. Fermentation of grain fiber takes place throughout the large intestine affecting beneficially the composition of gut microbiota, hence decreasing the permeability of gut barrier. Improved gut barrier function reduces leaking of endotoxic bacterial lipopolysaccharides (LPS) into the circulation. Lower concentration of LPS in blood seems to alleviate peripheral inflammation. Fermentation of grain fiber also leads to continuous supply and absorption of metabolites such as short chain fatty acids and ferulic acid derivatives which may have anti-inflammatory effects. These phenomena, mainly based on in vitro and animal studies, are associated with fermentation of grain fiber and improve insulin sensitivity, which over time may decrease the risk of type 2 diabetes. To test these mechanisms, more well-designed human studies are needed.     

Incremental user-interface development for interactive multiobjective optimization

Interactive multiobjective optimization (IMO) is a subfield of multiple criteria decision making. In multiobjective optimization, the optimization problem is formulated with a mathematical model containing several conflicting objectives and constraints depending on decision variables. By using IMO methods, a decision maker progressively provides preference information in order to find the most satisfactory compromise between the conflicting objectives. In this paper, we consider implementation challenges of IMO methods. In particular, we consider what kind of interaction techniques can support the decision making process and information exchange between IMO methods and the decision maker. The implementation of an IMO method called Pareto Navigator is used as an example to demonstrate concrete challenges of interaction design. This paper focuses on describing the incremental development of the user interface for Pareto Navigator including empirical validation by user testing evaluation.