Elaboration of New Method of Deep Processing of Caro-tene-containing Raw Materials Into Nanoadditives with the Use of Cryogenic Freezing and Fine-dispersed Grinding

The aim of the work is elaboration of principally new cryogenic method of deep processing of carotene-containing vegetable raw material (CCVRM) such as carrot, pumpkin, sweet Bulgarian pepper, tomato, sea buckthorn, apricot using cryogenic freezing and fine-dispersed grinding.The new method of deep processing leads to more full extracting and removal of β-carotene from the state, bound with biopolymers into free and hydrophilic form. The mechanism of these processes was presented. It was established, that mass share of β-carotene in cryopuree, received by the new method, exceeds its content in initial (fresh) CCVRM in 3,0…3,5 times.The regularities of growth and transformation of carotenoids separately at freezing with different high speeds and low-temperature grinding of CCYRM were established. It was demonstrated, that at cryogenic freezing take place quantitative increase of mass share of carotenoids in 2,0…2,5 times comparing with initial (fresh) raw material depending on freezing speed and type of CCVRM. That is it was demonstrated, that frozen carotene-containing vegetable raw material contains 2,0…2,5 times more β-carotene than fresh one. Mechanism of these processes was presented.It was demonstrated, that cryopuree of CCVRM, received using new methods of deep processing, exceeds the initial (fresh) raw material by the content not only β-carotene but also other low-molecular bioactive substances: L-ascorbic acid – in 2,0…2,2 times, phenol compounds – in 1,7…1,8 times, tanning substances – in 1,5…1,7 times). That is they have principally new chemical composition, because practically all bioactive substances (BAS) in cryopuree are in nanosize form and easily assimilated by human organism

Statistical Mechanics of Semi-Supervised Clustering in Sparse Graphs

We theoretically study semi-supervised clustering in sparse graphs in the presence of pairwise constraints on the cluster assignments of nodes. We focus on bi-cluster graphs, and study the impact of semi-supervision for varying constraint density and overlap between the clusters. Recent results for unsupervised clustering in sparse graphs indicate that there is a critical ratio of within-cluster and between-cluster connectivities below which clusters cannot be recovered with better than random accuracy. The goal of this paper is to examine the impact of pairwise constraints on the clustering accuracy. Our results suggests that the addition of constraints does not provide automatic improvement over the unsupervised case. When the density of the constraints is sufficiently small, their only impact is to shift the detection threshold while preserving the criticality. Conversely, if the density of (hard) constraints is above the percolation threshold, the criticality is suppressed and the detection threshold disappears.Comment: 8 pages, 4 figure

Reducing the distortion in thin-sheet structures made from high-strength steel based on CAE-welded joint analysis

High competition in the field of mechanical engineering requires the manufacture of lightweight thin-sheet structures made of high-strength steels ensuring the geometry of a certain accuracy. Supporting a given geometry is achievable by improving methods to reduce residual deformations. Therefore, the purpose of the investigation is to reduce the distortion based on the analysis of the influence of clamping rigidity on the stress-strain state of the assembly using computer simulation by the finite element method. The result of the study is a clamping model that allows to adjust the level of residual stresses and deformations, confirmed experimentally. © 2019 IOP Publishing Ltd.Foundation for Assistance to Small Innovative Enterprises in Science and Technology, FASIE: 11995GU/2017The present study was supported by FASIE Grant №11995GU/2017. This work was done within the state order of IMP UB RAS on the subject “Laser”

Development and Validation of a Food Frequency Questionnaire for Preschool Children Using Multiple Methods

Background: The ability to determine the relationship between diet and health outcomes in children requires reproducible and validated long-term dietary assessment tools such as food frequency questionnaire (FFQ).Objective: To test the reproducibility and relative validity of a FFQ for young children using 24-hour food recalls (24HRs), anthropometric measurements, and a comprehensive feeding practices questionnaire (CFPQ).Methods: Children (aged 5-6) and their mothers were recruited during one school-year (2008) from preschools. Children's anthropometric measurements were obtained. Mothers provided during a personal interview on three occasions a 110-item semiquantitative FFQ, 24HRs and CFPQ. Pearson-correlation coefficients were calculated between the results of the FFQ and 3*24HR. Validity coefficients between the FFQ and the different measurements were calculated. Scores of the 12 factors of the CFPQ were calculated and related to dietary intake.Results: Sixty-six healthy children (47% boys) were recruited. Pearson's correlations between the average of the FFQs and 3*24HRs ranged from 0.3-0.6 (P<0.05). The highest correlation coefficients were 0.59 for total fat intake and 0.56 for energy. Dietary intake of energy and carbohydrates differed significantly (P=0.05, 0.001 respectively) across the three BMI z-score levels (normal-weight, overweight, obese) and the three waist circumference tertiles (0.019, 0.006 respectively). Obesogenic factors from the CFPQ correlated with consumption of empty calories like sweets, snacks, junk foods and sweet drinks.Conclusions: The modified FFQ is a relatively valid instrument to estimate mean energy intake in preschool children. The questionnaire performs reasonably well to rank children with respect to macronutrients intake as well as obesogenic food groups

Significance of basic clinical tests changing after the Hypec procedure in patients with gastric cancer and some other tumors

Hyperthermic intraperitoneal chemotherapy is a popular method of palliative treatment in patients with malignant abdominal tumors. This review is devoted to trace changes in general clinical tests in patients with carcinomatosis. The patients were operated on at the Clinic of Reconstructive and Plastic Medicine of the Odessa National Medical University. All patients satisfactorily tolerated this procedure. The object of the study was to track those changes with patients that took place in the immediate (prior to discharge) postoperative period. 25 patients have recruited to the study. In the group changes in 11 basic clinical and laboratory parameters among those included were monitored in the study. Hemoglobin, leukocytes, platelets, total protein, bilirubin, serum glucose concentration, liver enzymes alanine aminotransferase and aspartate aminotransferase levels, thymol test and coagulogram indices. Thus, the most significant indicators, such as the concentration of hemoglobin, leukocytes and platelets, have not undergone significant changes after HIPEC. Hemoglobin decreased by 6 units (g / l), the concentration of leukocytes, on the contrary, increased by 2 units (T/l), platelet levels dropped by 61 units (also G/l). The concentration of total protein decreased by 7 units. The concentration of total bilirubin practically did not change, decreasing by about 1 unit. Indicators of AST and ALT did not increase, decreasing by 8 and 3 units, respectively. The average concentration value of blood glucose level slightly increased by almost 1 unit. Thymol levels have not changed. The prothrombin index decreased by 3 units; the concentration of fibrinogen in serum remained at approximately the same level. HIPEC procedure does not significantly affect the clinical and laboratory parameters. However, the tendency of this category of patients to hypercoagulation, hypoproteinemia and hyperglucosemia was noted

Optimizing the regimes of Advanced LIGO gravitational wave detector for multiple source types

We develop here algorithms which allow to find regimes of signal-recycled Fabry-Perot--Michelson interferometer (for example, Advanced LIGO), optimized concurrently for two (binary inspirals + bursts) and three (binary inspirals + bursts + millisecond pulsars) types of gravitational waves sources. We show that there exists a relatevely large area in the interferometer parameters space where the detector sensitivity to the first two kinds of sources differs only by a few percent from the maximal ones for each kind of source. In particular, there exists a specific regime where this difference is ~0.5 for both of them. Furthermore we show that even more multipurpose regimes are also possible, that provide significant sensitivity gain for millisecond pulsars with only minor sensitivity degradation for binary inspirals and bursts.Comment: 10 pages, 14 figures, 3 tables. Minor corrections in main text are done in version 2 and two plots and one table are added for the sake of clarity of the obtained result

Generation and matching of ontology data for the semantic web in a peer-to-peer framework

The abundance of ontology data is very crucial to the emerging semantic web. This paper proposes a framework that supports the generation of ontology data in a peer-to-peer environment. It not only enables users to convert existing structured data to ontology data aligned with given ontology schemas, but also allows them to publish new ontology data with ease. Besides ontology data generation, the common issue of data overlapping over the peers is addressed by the process of ontology data matching in the framework. This process helps turn the implicitly related data among the peers caused by overlapping into explicitly interlinked ontology data, which increases the overall quality of the ontology data. To improve matching accuracy, we explore ontology related features in the matching process. Experiments show that adding these features achieves better overall performance than using traditional features only. © Springer-Verlag Berlin Heidelberg 2007

Hierarchical Hough all-sky search for periodic gravitational waves in LIGO S5 data

We describe a new pipeline used to analyze the data from the fifth science run (S5) of the LIGO detectors to search for continuous gravitational waves from isolated spinning neutron stars. The method employed is based on the Hough transform, which is a semi-coherent, computationally efficient, and robust pattern recognition technique. The Hough transform is used to find signals in the time-frequency plane of the data whose frequency evolution fits the pattern produced by the Doppler shift imposed on the signal by the Earth's motion and the pulsar's spin-down during the observation period. The main differences with respect to previous Hough all-sky searches are described. These differences include the use of a two-step hierarchical Hough search, analysis of coincidences among the candidates produced in the first and second year of S5, and veto strategies based on a $\chi^2$ test.Comment: 7 pages, 2 figures, Amaldi08 proceedings, submitted to JPC