The relationship of limit dextrinase, limit dextrinase inhibitor and malt quality parameters in barley and their genetic analysis

2016 ◽  
Vol 70 ◽  
pp. 140-145 ◽  
Author(s):  
Yuqing Huang ◽  
Shengguan Cai ◽  
Guoping Zhang
Author(s):  
M. K. M. R. Guerrero ◽  
J. A. M. Vivar ◽  
R. V. Ramos ◽  
A. M. Tamondong

Abstract. The sensitivity to changes in water quality inherent to seagrass communities makes them vital for determining the overall health of the coastal ecosystem. Numerous efforts including community-based coastal resource management, conservation and rehabilitation plans are currently undertaken to protect these marine species. In this study, the relationship of water quality parameters, specifically chlorophyll-a (chl-a) and turbidity, with seagrass percent cover is assessed quantitatively. Support Vector Machine, a pixel-based image classification method, is applied to determine seagrass and non-seagrass areas from the orthomosaic which yielded a 91.0369% accuracy. In-situ measurements of chl-a and turbidity are acquired using an infinity-CLW water quality sensor. Geostatistical techniques are utilized in this study to determine accurate surfaces for chl-a and turbidity. In two hundred interpolation tests for both chl-a and turbidity, Simple Kriging (Gaussian-model type and Smooth- neighborhood type) performs best with Mean Prediction equal to −0.1371 FTU and 0.0061 μg/L, Root Mean Square Standardized error equal to −0.0688 FTU and −0.0048 μg/L, RMS error of 8.7699 FTU and 1.8006 μg/L and Average Standard Error equal to 10.8360 FTU and 1.6726 μg/L. Zones are determined using fishnet tool and Moran’s I to calculate for the seagrass percent cover. Ordinary Least Squares (OLS) is used as a regression analysis to quantify the relationship of seagrass percent cover and water quality parameters. The regression analysis result indicates that turbidity has an inverse relationship while chlorophyll-a has a direct relationship with seagrass percent cover.


2011 ◽  
Vol 243-249 ◽  
pp. 5308-5313 ◽  
Author(s):  
Hai Yan Li ◽  
Li Tao Yue

Taking a roof in Shanghai for example, through the comparison of the relationship of rainfall and SS load in a single rainfall runoff obtained by experiment and SWMM simulation, typical water SWMM model parameters (maximum buildup possible C1, buildup rate constant C2, washoff coefficient S1 and washoff exponent S2) could be obtained. With this method, other cities’ water quality parameters for SWMM simulation could be confirmed, so as to provide basis for simulating water quality by SWMM.


2015 ◽  
Vol 5 (3) ◽  
pp. 533-558
Author(s):  
Victoria Pérez Royo

Abstract: This paper is the result of an exercise of experimental re-writing and analogical thinking which had as an aim to open a new perspective on research in the arts. In terms of method, the different figures of love in Barthes' A Lover's Discourse are forced to talk about the relationship of researcher and object of study. This analogy allows us to find quality parameters based on a scale of values different to the hegemonic ones in the academy (productivity, competitiveness, innovation). These new parameters might constitute a solid ontological basis to build a new politics of artistic research in the academy that allow a radical reconsideration of processes of artistic research.


2015 ◽  
Vol 2015 (2) ◽  
pp. 75-81
Author(s):  
Сергей Съянов ◽  
Sergey Syanov

The physical picture of the process electroerosive processing on the basis of which identified the main factors (voltage, current strength, pulse duration, the coefficient of using the pulse energies, properties of dielectric liquids, material and tool material, the temperature in the layer blank, the original settings of the waviness of the workpiece and tool), which influence on the process of formation of the parameters of roughness, waviness, microhardness and technology of residual stresses.


2020 ◽  
Vol 9 (3) ◽  
pp. 113
Author(s):  
Valessa Senshi Moira ◽  
Oktiyas Muzaky LuthfI ◽  
Andik Isdianto

Indonesia is known as one of the world's marine biodiversity centers with its rich coral reefs. Coral growth depends on environmental conditions, which in reality do not always remain due to disruptions originating from nature or human activities. The growth of coral reefs in a sea water is strongly influenced by the quality of its waters such as chemical oceanographic factors namely salinity, pH, DO, nitrate and phosphate. The data collection was carried out twice in September and November 2019 in Damas Waters, Trenggalek, East Java. The waters of Damas Beach are located in Karanggandu Village, Watulimo District. The purpose of this study was to determine the condition of coral reefs in Damas Waters, to determine the effect of water quality on artificial reefs in chemistry in Damas Waters and to determine the relationship of quality parameters of chemical waters with artificial coral reefs in Damas Waters, Trenggalek, East Java. The sampling method is done by purposive random sampling that is determining the sample with certain considerations. The location points used by 20 stations are spread, namely on artificial reefs, natural coral reefs, open seas and the area around the harbor. Measurements made include in situ water quality with a multiparameter measurement tool, namely AAQ. The results obtained that in all stations found good water conditions for the life of coral reefs, and also the analysis of the relationship of each parameter and coral reefs influence each other.


Paleobiology ◽  
1980 ◽  
Vol 6 (02) ◽  
pp. 146-160 ◽  
Author(s):  
William A. Oliver

The Mesozoic-Cenozoic coral Order Scleractinia has been suggested to have originated or evolved (1) by direct descent from the Paleozoic Order Rugosa or (2) by the development of a skeleton in members of one of the anemone groups that probably have existed throughout Phanerozoic time. In spite of much work on the subject, advocates of the direct descent hypothesis have failed to find convincing evidence of this relationship. Critical points are:(1) Rugosan septal insertion is serial; Scleractinian insertion is cyclic; no intermediate stages have been demonstrated. Apparent intermediates are Scleractinia having bilateral cyclic insertion or teratological Rugosa.(2) There is convincing evidence that the skeletons of many Rugosa were calcitic and none are known to be or to have been aragonitic. In contrast, the skeletons of all living Scleractinia are aragonitic and there is evidence that fossil Scleractinia were aragonitic also. The mineralogic difference is almost certainly due to intrinsic biologic factors.(3) No early Triassic corals of either group are known. This fact is not compelling (by itself) but is important in connection with points 1 and 2, because, given direct descent, both changes took place during this only stage in the history of the two groups in which there are no known corals.


Author(s):  
D. F. Blake ◽  
L. F. Allard ◽  
D. R. Peacor

Echinodermata is a phylum of marine invertebrates which has been extant since Cambrian time (c.a. 500 m.y. before the present). Modern examples of echinoderms include sea urchins, sea stars, and sea lilies (crinoids). The endoskeletons of echinoderms are composed of plates or ossicles (Fig. 1) which are with few exceptions, porous, single crystals of high-magnesian calcite. Despite their single crystal nature, fracture surfaces do not exhibit the near-perfect {10.4} cleavage characteristic of inorganic calcite. This paradoxical mix of biogenic and inorganic features has prompted much recent work on echinoderm skeletal crystallography. Furthermore, fossil echinoderm hard parts comprise a volumetrically significant portion of some marine limestones sequences. The ultrastructural and microchemical characterization of modern skeletal material should lend insight into: 1). The nature of the biogenic processes involved, for example, the relationship of Mg heterogeneity to morphological and structural features in modern echinoderm material, and 2). The nature of the diagenetic changes undergone by their ancient, fossilized counterparts. In this study, high resolution TEM (HRTEM), high voltage TEM (HVTEM), and STEM microanalysis are used to characterize tha ultrastructural and microchemical composition of skeletal elements of the modern crinoid Neocrinus blakei.


Author(s):  
Leon Dmochowski

Electron microscopy has proved to be an invaluable discipline in studies on the relationship of viruses to the origin of leukemia, sarcoma, and other types of tumors in animals and man. The successful cell-free transmission of leukemia and sarcoma in mice, rats, hamsters, and cats, interpreted as due to a virus or viruses, was proved to be due to a virus on the basis of electron microscope studies. These studies demonstrated that all the types of neoplasia in animals of the species examined are produced by a virus of certain characteristic morphological properties similar, if not identical, in the mode of development in all types of neoplasia in animals, as shown in Fig. 1.


Author(s):  
J.R. Pfeiffer ◽  
J.C. Seagrave ◽  
C. Wofsy ◽  
J.M. Oliver

In RBL-2H3 rat leukemic mast cells, crosslinking IgE-receptor complexes with anti-IgE antibody leads to degranulation. Receptor crosslinking also stimulates the redistribution of receptors on the cell surface, a process that can be observed by labeling the anti-IgE with 15 nm protein A-gold particles as described in Stump et al. (1989), followed by back-scattered electron imaging (BEI) in the scanning electron microscope. We report that anti-IgE binding stimulates the redistribution of IgE-receptor complexes at 37“C from a dispersed topography (singlets and doublets; S/D) to distributions dominated sequentially by short chains, small clusters and large aggregates of crosslinked receptors. These patterns can be observed (Figure 1), quantified (Figure 2) and analyzed statistically. Cells incubated with 1 μg/ml anti-IgE, a concentration that stimulates maximum net secretion, redistribute receptors as far as chains and small clusters during a 15 min incubation period. At 3 and 10 μg/ml anti-IgE, net secretion is reduced and the majority of receptors redistribute rapidly into clusters and large aggregates.


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