Research notes: Effects of light on soybean leaf chlorophyll content-- The role of the Y11 gene

Previous studies on the genetics of chlorophyll production have revealed the involvement of a gene Y11 , which is incompletely dominant. Thus, three phenotypes may be observed -- plants with leaves that are normally pigmented, light-green or yellow. The yellow is a lethal in nature; however, we have propagated them under laboratory conditions either by grafting the yellows to wild-type plants or growing them independently under constant low-level illumination with a short period of moderate (400 ft-c) illumination each day

Research notes: Photosynthetic activity in chlorophyll deficient soybean leaves carrying the Y11 mutant

In soybeans, the Y11 gene is involved in chlorophyll synthesis. Thus, in the.heterozygous condition Y11y11 , an intermediate or light-green leaf pigmentation results. Photosynthetic C02 assimilation in the light-green, on a surface area basis, has been reported to be as high or nearly as high as in the homozygous dominant, dark-green plant (Wolf, 1965; Keck et al., 1974; Cappy and Noble, 1974; Crang and Noble, 1978)

High temperature mobility of CdTe

The Hall mobility of electrons μH is measured in CdTe in the temperature interval 450-1050°C and defined Cd overpressure in near-intrinsic conditions. The strong decrease of μH above 600°C is reported. The effect is explained within a model of multivalley conduction where both electrons in �1c minimum and in L1c minima participate. The theoretical description is based on the solution of the Boltzmann transport equation within the relaxation time approximation including the polar and acoustic phonon intravalley and intervalley scatterings. The �1c to L1c separation �E=0.29 - 10-4T (eV) for the effective mass in the L valley mL=0.35m0 is found to best fit the experimental data. Such �E is about four times smaller than it is predicted by first-principle calculations. © 2001 American Institute of Physics

Analisis Nilai Ekonomi Museum T.B Silalahi Center di Kecamatan Balige, Kabupaten Toba Samosir dengan Menggunakan Pendekatan Metode Biaya Perjalanan

This research was carried out on the object Tourism of TB Silalahi Museum Centre in Toba Samosir regency of North Sumatra to determine the economic value of the environment and to look the influence of travel costs, income, and residence distance of respondents with the number of visitor who come to the TB Silalahi museum center. This research took a sample of 100 respondents of TB Silalahi Museum Center visitor. Data analysis methods that I used in this research were descriptive and quantitative methods. Quantitative analysis was performed by using multiple linear regression equation to the data collected in the form of numbers in tabulated form then discussed it with descriptive methods. In calculations, the economic value of TB Silalahi museum Center that based of approach travel cost is Rp 2,735,078,350. From the analysis, the rate coefficients of the variables that affect the number of visitor to the museum TB Silalahi Center are travel costs (X1) 0.0000142, income (X2) 0.00005032, and distance of residence of respondents to the tourist attractions (X3) -0.122. The results of testing research can also be known simultaneously (synchronously) showed significant effect in which the travel expenses, income and distance of the respondents. Travel expenses, income and distance respondents have significantly influence the number of museum TB Silalahi Center visitor. It is shown from the test results calculated that F (58,992)> F table (2.70). The partial test results showed only the income variable does not have significantly influence to the number of individual visitor who come to the TB Silalahi Museum Center.Keywords: TB Silalahi Museum Centre, Travel Cost Methode and Economic Valu

ChIPOTle: a user-friendly tool for the analysis of ChIP-chip data

ChIPOTle (Chromatin ImmunoPrecipitation On Tiled arrays) takes advantage of two unique properties of ChIP-chip data: the single-tailed nature of the data, caused by specific enrichment but not specific depletion of genomic fragments; and the predictable enrichment of DNA fragments adjacent to sites of direct protein-DNA interaction. Implemented as a Microsoft Excel macro written in Visual Basic, ChIPOTle uses a sliding window approach that yields improvements in the identification of bona fide sites of protein-DNA interaction

Derivation of a dynamic model of the kinetics of nitrogen uptake throughout the growth of lettuce : calibration and validation

A kinetic model of nitrogen (N) uptake throughout growth was developed for lettuce cultivated in nutrient solution under varying natural light conditions. The model couples nitrogen uptake with dry matter accumulation using a two-compartment mechanistic approach, incorporating structural and non-structural pools. Maximum nitrogen uptake rates are assumed to decline with shoot dry weight, to allow for the effects of plant age. The model was parameterized using data from the literature, and calibrated for differences in light intensity using an optimization algorithm utilizing data from three experiments in different growing seasons. The calibrated model was validated against the data from two independent experiments conducted under different light conditions. Results showed that the model made good predictions of nitrogen uptake by plants from seedlings to maturity under fluctuating light levels in a glasshouse. Plants grown at a higher light intensity showed larger maximum nitrogen uptake rates, but the effect of light intensity declined towards plant maturity

Community Extraction in Multilayer Networks with Heterogeneous Community Structure.

Multilayer networks are a useful way to capture and model multiple, binary or weighted relationships among a fixed group of objects. While community detection has proven to be a useful exploratory technique for the analysis of single-layer networks, the development of community detection methods for multilayer networks is still in its infancy. We propose and investigate a procedure, called Multilayer Extraction, that identifies densely connected vertex-layer sets in multilayer networks. Multilayer Extraction makes use of a significance based score that quantifies the connectivity of an observed vertex-layer set through comparison with a fixed degree random graph model. Multilayer Extraction directly handles networks with heterogeneous layers where community structure may be different from layer to layer. The procedure can capture overlapping communities, as well as background vertex-layer pairs that do not belong to any community. We establish consistency of the vertex-layer set optimizer of our proposed multilayer score under the multilayer stochastic block model. We investigate the performance of Multilayer Extraction on three applications and a test bed of simulations. Our theoretical and numerical evaluations suggest that Multilayer Extraction is an effective exploratory tool for analyzing complex multilayer networks. Publicly available code is available at https://github.com/jdwilson4/MultilayerExtraction

Lack of prophylaxis before the onset of acute venous thromboembolism among hospitalized cancer patients: the SWIss Venous ThromboEmbolism Registry (SWIVTER)

Background: Venous thromboembolism (VTE) prophylaxis remains underutilized, particularly in cancer patients. We explored clinical predictors of prophylaxis in hospitalized cancer patients before the onset of acute VTE. Methods: In the SWiss Venous ThromboEmbolism Registry, 257 cancer patients (61 ± 15 years) with acute VTE and prior hospitalization for acute medical illness or surgery within 30 days (91% were at high risk with Geneva VTE risk score ≥3) were enrolled. Results: Overall, 153 (60%) patients received prophylaxis (49% pharmacological and 21% mechanical) before the onset of acute VTE. Outpatient status at the time of VTE diagnosis [odds ratio (OR) 0.31, 95% confidence interval (CI) 0.18-0.53], ongoing chemotherapy (OR 0.51, 95% CI 0.31-0.85), and recent chemotherapy (OR 0.53, 95% CI 0.32-0.88) were univariately associated with the absence of VTE prophylaxis. In multivariate analysis, intensive care unit admission within 30 days (OR 7.02, 95% CI 2.38-20.64), prior deep vein thrombosis (OR 3.48, 95% CI 2.14-5.64), surgery within 30 days (OR 2.43, 95% CI 1.19-4.99), bed rest >3 days (OR 2.02, 95% CI 1.08-3.78), and outpatient status (OR 0.38, 95% CI 0.19-0.76) remained the only independent predictors of thromboprophylaxis. Conclusions: Although most hospitalized cancer patients were at high risk, 40% did not receive any prophylaxis before the onset of acute VTE. There is a need to improve thromboprophylaxis in cancer patients, particularly in the presence of recent or ongoing chemotherap