Search results for "Composition"

Decomposition and Mean-Field Approach to Mixed Integer Optimal Compensation Problems

2016

Mixed integer optimal compensation deals with optimization problems with integer- and real-valued control variables to compensate disturbances in dynamic systems. The mixed integer nature of controls could lead to intractability in problems of large dimensions. To address this challenge, we introduce a decomposition method which turns the original n-dimensional optimization problem into n independent scalar problems of lot sizing form. Each of these problems can be viewed as a two-player zero-sum game, which introduces some element of conservatism. Each scalar problem is then reformulated as a shortest path one and solved through linear programming over a receding horizon, a step that mirro…

Do Randomized Algorithms Improve the Efficiency of Minimal Learning Machine?

2020

Minimal Learning Machine (MLM) is a recently popularized supervised learning method, which is composed of distance-regression and multilateration steps. The computational complexity of MLM is dominated by the solution of an ordinary least-squares problem. Several different solvers can be applied to the resulting linear problem. In this paper, a thorough comparison of possible and recently proposed, especially randomized, algorithms is carried out for this problem with a representative set of regression datasets. In addition, we compare MLM with shallow and deep feedforward neural network models and study the effects of the number of observations and the number of features with a special dat…

Corrigendum to “Gas chromatographic–mass spectrometric investigation of the chemical composition of beebread” [Food Chem. 115 (2009) 1056–1063]

2016

Exploring the human microbiome from multiple perspectives: factors altering its composition and function

2017

Abstract Our microbiota presents peculiarities and characteristics that may be altered by multiple factors. The degree and consequences of these alterations depend on the nature, strength and duration of the perturbations as well as the structure and stability of each microbiota. The aim of this review is to sketch a very broad picture of the factors commonly influencing different body sites, and which have been associated with alterations in the human microbiota in terms of composition and function. To do so, first, a graphical representation of bacterial, fungal and archaeal genera reveals possible associations among genera affected by different factors. Then, the revision of sequence-bas…

Comparative Chemical Composition and Bioactivity of Opuntia ficus‐indica Sanguigna and Surfarina Seed Oils Obtained by Traditional and Ultrasound‐Ass…

2018

This study investigates the seed oils obtained from two different varieties of Opuntia ficus-indica (Sanguigna and Surfarina) growing in Sicily, Italy. Soxhlet and ultrasound-assisted extraction procedures are used to obtain the seed oils. The fatty acid profile, γ-tocopherols, carotenoid content, and the bioactivity in terms of the antioxidant effects (using ABTS, DPPH, FRAP, and β-carotene bleaching tests), and carbohydrate-hydrolysing enzyme inhibitory activity (α-amylase and α-glucosidase) are determined. The extraction procedure does not significantly affect the fatty acid composition of the oil, but it does affect the tocopherol and carotenoid contents, as well as the antioxidant and …

Multiplicative decomposition of the scaling effect in the Mixed Assessor Model into a descriptor-specific and an overall coefficients

2016

Abstract In 1994, Brockhoff and Skovgaard presented the so-called assessor model, including a “scaling coefficient” expressing the predisposition of a panelist to spread more or less his scores than the panel on a given sensory descriptor. This paper discusses potential scaling causes, and then proposes a decomposition of the scaling coefficient into two components: (i) an overall scaling coefficient, independent of the descriptors, expressing a psychological trend of the panelist towards the scoring task in general; (ii) a corrected scaling coefficient for each descriptor, expressing specific sensitivity of the panelist to the descriptor. Applied to 187 sensory datasets, this decomposition…

Safe intake of a plant sterol-enriched beverage with milk fat globule membrane: Bioaccessibility of sterol oxides during storage

2018

Abstract Sterols in foods are susceptible to oxidation to form oxysterols. It is interesting for consumer health to know real intake and the possible associated adverse effects associated to oxysterols. This study measured oxysterol formation and bioaccessibility (BA) in a plant sterol (PS)-enriched milk-based fruit beverage with milk fat globule membrane (MFGM) added at 0, 3 and 6 months of storage at room temperature. The same cholesterol (COPs) and phytosterol oxidation products (POPs) (exclusively from β-sitosterol) (7α/β-hydroxy, α/β-epoxy, triol and 7-keto) were detected in the beverage and its bioaccessible fraction. Total COPs and POPs contents were maintained during storage, and th…

Nutritional assessment of the school menus offered in Spain's Mediterranean area.

2019

Abstract Objectives The aim of this study was to perform a nutritional assessment of the menus served in school canteens and to verify their effects on the nutrition of schoolchildren. Methods We selected three collective catering companies that offered ~53 500 menus/d in 369 schools in Spain's Mediterranean area (Valencian Community). The study included four public schools with different management models as well as different supply patterns. Considering the weight of the servings, the caloric contribution of the menus was estimated. Results Great diversity was seen both in the same school throughout the week and between the four schools (School 1: 298–946 kcal; School 2: 465–1185 kcal; Sc…

Group analysis of ongoing EEG data based on fast double-coupled nonnegative tensor decomposition

2019

Abstract Background Ongoing EEG data are recorded as mixtures of stimulus-elicited EEG, spontaneous EEG and noises, which require advanced signal processing techniques for separation and analysis. Existing methods cannot simultaneously consider common and individual characteristics among/within subjects when extracting stimulus-elicited brain activities from ongoing EEG elicited by 512-s long modern tango music. New method Aiming to discover the commonly music-elicited brain activities among subjects, we provide a comprehensive framework based on fast double-coupled nonnegative tensor decomposition (FDC-NTD) algorithm. The proposed algorithm with a generalized model is capable of simultaneo…

Resting Energy Expenditure and Substrate Oxidation in Malnourished Patients With Type 1 Glycogenosis.

2019

Abstract Context Type 1a and 1b glycogenosis [glycogen storage disorder (GSD)1a, GSD1b] are rare diseases generally associated with malnutrition. Although abnormal substrate oxidation rates and elevated energy expenditures might contribute to malnutrition, this issue has not been investigated. Objective To investigate whether abnormal resting energy expenditure (REE) and substrate oxidation rate characterize patients with GSD1. Design Cross-sectional study Setting Outpatient referral center for rare diseases and laboratory of clinical nutrition at the University Hospital of Palermo Patients Five consecutive patients with GSD1 (4 type a, 1 type b; 3 men, 2 women; age range, 19 to 49 years) M…