Hydrological and biogeochemical controls on the timing and magnitude of nitrous oxide flux across an agricultural landscape

Anticipated increases in precipitation intensity due to climate change may affect hydrological controls on soil N₂O fluxes, resulting in a feedback between climate change and soil greenhouse gas emissions. We evaluated soil hydrologic controls on N₂O emissions during experimental water table fluctuations in large, intact soil columns amended with 100 kg ha^?1 KNO₃‐N. Soil columns were collected from three landscape positions that vary in hydrological and biogeochemical properties (N= 12 columns). We flooded columns from bottom to surface to simulate water table fluctuations that are typical for this site, and expected to increase given future climate change scenarios. After the soil was saturated to the surface, we allowed the columns to drain freely while monitoring volumetric soil water content, matric potential and N₂O emissions over 96 h. Across all landscape positions and replicate soil columns, there was a positive linear relationship between total soil N and the log of cumulative N₂O emissions (r²= 0.47; P= 0.013). Within individual soil columns, N₂O flux was a Gaussian function of water‐filled pore space (WFPS) during drainage (mean r²= 0.90). However, instantaneous maximum N₂O flux rates did not occur at a consistent WFPS, ranging from 63% to 98% WFPS across landscape positions and replicate soil columns. In contrast, instantaneous maximum N₂O flux rates occurred within a narrow range (?1.88 to ?4.48 kPa) of soil matric potential that approximated field capacity. The relatively consistent relationship between maximum N₂O flux rates and matric potential indicates that water filled pore size is an important factor affecting soil N₂O fluxes. These data demonstrate that matric potential is the strongest predictor of the timing of N₂O fluxes across soils that differ in texture, structure and bulk density.     

Mutagenesis byN-methyl-N-nitroso-N-nitroguanidine in synchronized cultures ofMycobacterium phlei

Conditions of maximum induction of back mutations byN-methyl-N-nitroso-N′-nitroguanidine (“nitrosoguanidine”) were studied in auxotrophic mutants ofMycobacterium phlei. In asynchronous cultures the effects of pH, buffer molarity and concentration and exposure time to nitrosoguanidine were studied. It was shown that between 6 and 10, pH does not affect the induction of back mutations but that with increasing pH up to 9 the lethal effect of nitrosoguanidine on cells is increased. Protracted treatment with nitrosoguanidine or buffer molarity did not affect the induction of back mutations. It was found with several strains ofMycobacterium phlei that it is most efficient to treat a culture with 0.5 mg or 1 mg nitrosoguanidine/ml for 20 min at pH 6. On the basis of these findings a method of induction of back mutations by nitrosoguanidine was developed for populations with synchronous cell division.     

On the stall force for growing microtubules

The assembly of microtubules generates forces that play a role in cellular motility processes such as the motion of chromosomes during mitosis. Recently, Mogilner and Oster proposed a model for the growth of microtubules that agrees quantitatively with the force-velocity relation measured for individual microtubules. In addition, the authors predicted that the stall force for any polymer consisting of N independently growing protofilaments should increase as the square root of N. We simulated this model and found that the stall force increases linearly with N, and is in fact consistent with the maximum force predicted by thermodynamic arguments. We show that this discrepancy can be explained by a more careful treatment of the “off-term” in the Mogilner-Oster model. Received: 27 September 1999 / Revised version: 12 December 1999 / Accepted: 20 December 1999     

The Exact Distribution of the Anderson-Kannemann Statistic

The Anderson-Kannemann test is a rank test for treatment effects in a randomized block design with K treatments and N blocks. In this paper, an algorithm for computing the exact distribution of the Anderson-Kannemann test statistic under the null hypothesis is deduced. Then, the exact distribution is compared with the asymptotic χ²-distribution, and it is shown that the exact distribution is approximated fairly well by the asymptotic distribution. Tables of the exact distribution are given for K = 3, N = 3(1)15; K = 4, N = 3(1)11; K = 5, N = 3(1)7; and K = 6, N = 3(1)5.     

A maximum neural network approach for N-queens problems

 A novel neural network approach using the maximum neuron model is presented for N-queens problems. The goal of the N-queens problem is to find a set of locations of N queens on an N×N chessboard such that no pair of queens commands each other. The maximum neuron model proposed by Takefuji et al. has been applied to two optimization problems where the optimization of objective functions is requested without constraints. This paper demonstrates the effectiveness of the maximum neuron model for constraint satisfaction problems through the N-queens problem. The performance is verified through simulations in up to 500-queens problems on the sequential mode, the N-parallel mode, and the N ²-parallel mode, where our maximum neural network shows the far better performance than the existing neural networks. Received: 4 June 1996/Accepted in revised form: 13 November 1996     

Effects of 8-week in-season upper and lower limb heavy resistance training on the peak power, throwing velocity, and sprint performance of elite male handball players

The aims of this study were to test the potential of in-season heavy upper and lower limb strength training to enhance peak power output (Wpeak), vertical jump, and handball related field performance in elite male handball players who were apparently already well trained, and to assess any adverse effects on sprint velocity. Twenty-four competitors were divided randomly between a heavy resistance (HR) group (age 20 ± 0.7 years) and a control group (C; age 20 ± 0.1 years). Resistance training sessions were performed twice a week for 8 weeks. Performance was assessed before and after conditioning. Peak power (W(peak)) was determined by cycle ergometer; vertical squat jump (SJ) and countermovement jump (CMJ); video analyses assessed velocities during the first step (V(1S)), the first 5 m (V(5m)), and between 25 and 30 m (V(peak)) of a 30-m sprint. Upper limb bench press and pull-over exercises and lower limb back half squats were performed to 1-repetition maximum (1RM). Upper limb, leg, and thigh muscle volumes and mean thigh cross-sectional area (CSA) were assessed by anthropometry. W(peak) (W) for both limbs (p < 0.001), vertical jump height (p < 0.01 for both SJ and CMJ), 1RM (p < 0.001 for both upper and lower limbs) and sprint velocities (p < 0.01 for V(1S) and V(5m); p < 0.001 for V(peak)) improved in the HR group. Upper body, leg, and thigh muscle volumes and thigh CSA also increased significantly after strength training. We conclude that in-season biweekly heavy back half-squat, pull-over, and bench-press exercises can be commended to elite male handball players as improving many measures of handball-related performance without adverse effects upon speed of movement.     

Maximum Likelihood Estimation on Large Phylogenies and Analysis of Adaptive Evolution in Human Influenza Virus A

Algorithmic details to obtain maximum likelihood estimates of parameters on a large phylogeny are discussed. On a large tree, an efficient approach is to optimize branch lengths one at a time while updating parameters in the substitution model simultaneously. Codon substitution models that allow for variable nonsynonymous/synonymous rate ratios (ω=d _N/d _S) among sites are used to analyze a data set of human influenza virus type A hemagglutinin (HA) genes. The data set has 349 sequences. Methods for obtaining approximate estimates of branch lengths for codon models are explored, and the estimates are used to test for positive selection and to identify sites under selection. Compared with results obtained from the exact method estimating all parameters by maximum likelihood, the approximate methods produced reliable results. The analysis identified a number of sites in the viral gene under diversifying Darwinian selection and demonstrated the importance of including many sequences in the data in detecting positive selection at individual sites. Received: 25 April 2000 / Accepted: 24 July 2000     

Relationship between the wavelength maximum of a protein and the temperature dependence of its intrinsic tryptophan fluorescence intensity

Proper determination of the temperature dependence of intrinsic tryptophan fluorescence intensity in native and denatured states is an essential prerequisite for extracting the free energy of protein unfolding from the thermal denaturation profile. The most common method employed in determining the temperature dependence of these conformations is through the determination of slopes of pre- and post-transition baselines. However, simulations of protein unfolding profiles suggest that this method does not work for marginally stable proteins. We show herein that the temperature dependence of the fluorescence intensity of N-acetyl tryptophanamide (NATA) in organic solvents and water may be used to represent the temperature dependence of the fluorescence intensity of tryptophan in native and denatured conformations of a protein, respectively. The wavelength of the emission maximum, λ _max, of N-acetyl tryptophanamide (NATA) in a particular solvent or tryptophan in proteins is related to the temperature dependence (m) of its fluorescence intensity by the equation: m (K⁻¹) = (−0.000299 ± 2.2 × 10⁻⁵ K⁻¹ nm⁻¹) × λ _max (nm) + (0.0919 ± 0.0025 K⁻¹).     

Training state improves the relationship between rating of perceived exertion and relative exercise volume during resistance exercises

ABSTRACT: Testa, M, Noakes, TD, and Desgorces, F-D. Training state improves the relationship between rating of perceived exertion and relative exercise volume during resistance exercises. J Strength Cond Res 26(11): 2990-2996, 2012-The aim of this study was to investigate how the rating of perceived exertion (RPE) during resistance exercises was influenced by the exercise volume and athletes' training state. Eighty physical education students (well trained, less well trained, and novices) rated their perceived exertion of multilift sets using the category-ratio scale. These sets were performed with moderate (60-80% of 1-repetition maximum [1RM]) and heavy loads (80-100% of 1RM) involving low volume of exercise (5.5 ± 1.1 reps for moderate and 1.3 ± 0.4 reps for the heavy load) and high volume of exercise (moderate load: 17.5 ± 2.1 reps; high load: 2.9 ± 0.6 reps). The exercise volume of the sets was expressed relatively to individual maximal capacities using the maximum number of repetition (MNR) for the load lifted. General linear model describes that RPE was related to MNR % with a training state effect (p < 0.01) observed only for sets involving a low MNR % and without effect of absolute volume and exercise intensity (high MNR sets: adjusted R = 0.65 and 0.78 and low MNR sets adjusted R = 0.37 and 0.34 in low MNR tests). High standard errors of estimated relative volume appeared when using the RPE from low exercise volume sets (12.8 and 14.4% of actual relative volume). Coaches should consider the RPE resulting from high exercise-induced physical strain to estimate the actual relative volume and to estimate the individual MNR at a given load.     

The influence of variation in female fecundity on effective population size

Understanding the relationship between effective population size (N_e) and the number of adults in a population (N) is important for predicting genetic change in small populations. In general, N_e is expected to be close to N/2, i.e. in the range N/4-3N/4, provided that the powerful effect of population bottlenecks on reducing N_e is factored out (using the harmonic mean of N). However, some very low published estimates of N_e/N(< 0.1) raise the possibility that other factors acting to reduce N_e have been underestimated. Here one such factor, variation in female fecundity, is investigated. Its effect on N_e depends on the standardized variance in fecundity (per breeding season), a measure that is generally independent of mean fecundity. Empirical estimates of this standardized variance from 16 animal studies yielded an average value of 0.44, and a maximum value less than 1.5. To investigate the effect of such values, three kinds of fecundity variation were modelled: random (seasonal): individual; and age-related. Fixed individual differences among females reduce N_e the most. However, to reduce N_e to N/10, the resulting standardized variance must usually be 10 or more. Random differences need to be even larger to achieve the same reduction. One possible mechanism, the random loss of whole families, requires very high family mortality (90% or more). The third model, fecundity that increases linearly with age, is ineffective at causing a marked decrease in N_e. Given the finding that very unusual conditions are required to reduce N_e below N_e/10, low estimates of N_e/N need to be examined critically: the lowest published ratio, for a natural population of oysters, was found to be questionable because of possible immigration into the population by cultivated oysters.     

Control of lymphocyte infiltration of lung tumors in mice by host’s genes: mapping of four Lynf (lymphocyte infiltration) loci

Tumor infiltration by lymphocytes is essential for cell-mediated immune elimination of tumors in experimental systems and in immunotherapy of cancer. Presence of lymphocytes in several human cancers has been associated with a better prognosis. We present evidence that individual propensity to tumor infiltration is genetically controlled. Infiltrating lymphocytes are present in 50% of lung tumors in O20/A mice, but in only 10% of lung tumors in OcB-9/Dem mice. This difference has been consistent in experiments conducted over 8 years in two different animal facilities. To test whether this strain difference is controlled genetically, we analyzed the presence of infiltrating lymphocytes in N-ethyl-N-nitroso-urea (ENU) induced lung tumors in (O20 × OcB-9) F₂ hybrids. We mapped four genetic loci, Lynf1 (Lymphocyte infiltration 1), Lynf2, Lynf3, and Lynf4 that significantly modify the presence and intensity of intra-tumoral infiltrates containing CD4⁺ and CD8⁺ T lymphocytes. These loci appear to be distinct from the genes encoding the molecules that are presently implicated in lymphocyte infiltration. Our findings open a novel approach for the assessment of individual propensity for tumor infiltration by genotyping the genes of the host that influence this process using DNA from any normal tissue. Such prediction of probability of tumor infiltration in individual cancer patients could help considerably to assess their prognosis and to decide about the application and the type of immunotherapy.     

Effect of eccentric strength testing on delayed-onset muscle pain

This investigation was designed to determine the effect of eccentric strength testing on delayed-onset muscle pain in 20 untrained university students. Initially, eccentric strength testing (5-repetition maximum [5RM]) was performed bilaterally. Next, 1 arm completed 3 sets of 10 eccentric repetitions to induce delayed-onset muscle pain. Then, in a subsequent session, whichever arm previously performed only the 5RM test completed the 5RM test a second time and the 3 sets of 10 eccentric repetitions. Statistical analyses supported significantly increased pain intensity and unpleasantness across 48 hours post-5RM test alone. However, pain intensity and unpleasantness after the eccentric training bouts were significantly lower in the arm that performed 2 5RM tests than the arm that performed only 1. Thus, the eccentric strength testing produced delayed-onset muscle pain and protected against future delayed-onset muscle pain. These effects should be considered when such testing is used in baseline strength assessments.     

Phytochrome decay in seedlings under continuous incandescent light

Summary Under continuous high intensity incandescent light the decay of phytochrome in Amaranthus seedlings deviates from the predicted first order rate characteristic of the P _fr/P _total ratio maintained. This deviation takes the form of a slower decay than would be predicted and is only observed at high intensities. Experiments are presented to test the hypothesis that this reduced rate of decay is the result of a high level of phytochrome intermediates maintained under high intensity incandescent light. Accumulation of intermediates under these conditions has been demonstrated using a quasi-continuous measuring spectrophotometer. They are weakly absorbing and their concentration increases with light intensity. Although they form P _fr in darkness, it is proposed that they do not decay. The model predicts that in a sample cuvette, where a light intensity gradient exists, there is more probability of a phytochrome molecule being presnet as P _fr at the back of the cuvette: the region of lowest light intensity. Under conditions which favour phytochrome decay, a preferential loss of phytochrome should result at the back of the cuvette and an increasingly higher proportion of the remaining phytochrome will consequently be measured as intermediate as the experiment progresses. The results confirm the hypothesis and in addition, after 60 min incandescent light, demonstrate an accumulation of intermediates which form P _fr with a longer half-life that at the begining of the experiment. Pisum epicotyl hooks show no such intermediate accumulation or preferential decay at the back of the cuvette, which is in agreement with the observed first order phytochrome decay under high intensity incandescent light. A scheme is presented explaining the results on the basis of the decay process.Abbreviations FR far-red light - R red light - P phytochrome - P _fr far-red-absorbing form of P - P _r red-absorbing form of P 321st communication of this Laboratory.     

Characterization and comparisons of five N2-fixing Azolla-Anabaena associations,I. Optimization of growth conditions for biomass increase and N content in a controlled environment*

Abstract Biomass increase, C and N content, C₂H₂ reduction, percentage dry weight and chlorophyll a/b ratios were determined for clones of Azolla caroliniana Willd., A. filiculoides Lam., A. mexicana Presl., and A. pinnata R. Br. as a function of nutrient solution, pH, temperature, photoperiod, and light intensity in controlled environment studies. These studies were supplemented by a glasshouse study. Under a 16 h, 26°C day at a light intensity of 200 μmol m^?2 s^?1 and an 8 h, 19° C dark period, there was no significant difference in the growth rates of the individual species on the five nutrient solutions employed. Growth was comparable from pH 5 to pH 8, but decreased at pH 9. Using the same photoperiod and light intensity but constant growth temperatures of 15–40°C, at 5°C intervals, the individual species exhibited maximum growth, nitro-genase (N²ase) activity and N content at either 25° or 30°C. There was no difference in the temperature optima at pH 6 and pH 8. The tolerance of the individual species to elevated temperature was indicated to be A. mexicana> A. pinnata> A. caroliniana> A.filiculoides. At the optimum temperature, growth rates increased with increasing photoperiod at both pH 6 and pH 8 but N₂ase activity was usually highest at a 16 h light period. At photon flux densities of 100, 200, 400 and 600 μmol m^?2 s^?1, during a 16 h light period and optimum growth temperature of the individual species, N₂ase activity was saturated at less than 200 μmol m^?2 s^?1 and growth at 400 μmol m^?2 s^?1.No interacting effects of light and pH were noted for any species, nor were light intensities up to 1700 μmol m^?2 s^?1 detrimental to the growth rate or N content of any species in a 5 week glasshouse study with a natural 14.5 h light period and a constant temperature of 27.5°C. Using the optimum growth temperature, a 16 h light period, and a photon flux density of at least 400 μmol m^?2 s^?1, the Azolla species all doubled their biomass in 2 days or less and contained 5–6% N on a dry weight basis.     

A novel peak detection approach with chemical noise removal using short‐time FFT for prOTOF MS data

Peak detection is a pivotal first step in biomarker discovery from MS data and can significantly influence the results of downstream data analysis steps. We developed a novel automatic peak detection method for prOTOF MS data, which does not require a priori knowledge of protein masses. Random noise is removed by an undecimated wavelet transform and chemical noise is attenuated by an adaptive short‐time discrete Fourier transform. Isotopic peaks corresponding to a single protein are combined by extracting an envelope over them. Depending on the S/N, the desired peaks in each individual spectrum are detected and those with the highest intensity among their peak clusters are recorded. The common peaks among all the spectra are identified by choosing an appropriate cut‐off threshold in the complete linkage hierarchical clustering. To remove the 1 Da shifting of the peaks, the peak corresponding to the same protein is determined as the detected peak with the largest number among its neighborhood. We validated this method using a data set of serial peptide and protein calibration standards. Compared with MoverZ program, our new method detects more peaks and significantly enhances S/N of the peak after the chemical noise removal. We then successfully applied this method to a data set from prOTOF MS spectra of albumin and albumin‐bound proteins from serum samples of 59 patients with carotid artery disease compared to vascular disease‐free patients to detect peaks with S/N≥2. Our method is easily implemented and is highly effective to define peaks that will be used for disease classification or to highlight potential biomarkers.     

An empirical test of the estimation of historical effective population size using Drosophila melanogaster

The availability of a large number of high-density markers (SNPs) allows the estimation of historical effective population size (N_e) from linkage disequilibrium between loci. A recent refinement of methods to estimate historical N_e from the recent past has been shown to be rather accurate with simulation data. The method has also been applied to real data for numerous species. However, the simulation data cannot encompass all the complexities of real genomes, and the performance of any estimation method with real data is always uncertain, as the true demography of the populations is not known. Here, we carried out an experimental design with Drosophila melanogaster to test the method with real data following a known demographic history. We used a population maintained in the laboratory with a constant census size of about 2800 individuals and subjected the population to a drastic decline to a size of 100 individuals. After a few generations, the population was expanded back to the previous size and after a few further generations again expanded to twice the initial size. Estimates of historical N_e were obtained with the software GONE both for autosomal and X chromosomes from samples of 17 individuals sequenced for the whole genome. Estimates of the historical effective size were able to infer the patterns of changes that occurred in the populations showing generally good performance of the method. We discuss the limitations of the method and the application of the software carried out so far.     

A note on imitative behavior and information

The equations for imitative behavior developed previously indicate that the imitation effect increases with the numberN ₀ of individuals in the social group. In this note it is pointed out that the above conclusion holds only for not too large values ofN ₀. The above conclusion is based on the tacit assumption that each individual is completely informed about the behavior adopted by every other individual. If, however,N ₀ becomes very large, the information per individual decreases. As a result of this, the effects of imitation either increase withN ₀ less rapidly or actually become independent ofN ₀.     

Using a Normal Approximation to Test for the Binomial Distribution

The commonly used method to test for the binomial distribution is the x²-test. In this paper, we introduce an alternative method to test for the binomial distribution. Suppose N is the number of sample groups with n individuals each, x_ij is the jth sample in ith group, a Bernoulli variable with parameter and VVI=s²/[m(1 - m)/n]. Then it is well know that the asymptotic distribution of the statistic (N - 1) VVI is x²(N - 1) under the hypothesis p₁ = p₂ = … = p_N. Here we find that VVI has an asymptotic normal distribution N(1, 2(1 - 1/n)/(N - 1)). Unlike the x²-statistic, the variance of the normal test statistic is a function of n. This method is convenient in detecting spatial patterns and dispersion in the study of diseased organisms (e.g., plants) in field samples.     

Interactions glycanne-protéine. Synthése des 4-méthylombelliféryl-(2-acétamido-2-désoxy-β- -glucopyranoside), -DI-N-acétyl-β-chitobioside et -tri-N-acétyl-β-chitotrioside. Interaction de ces osides avec le lysozyme

4-Methylumbelliferyl 2-acetamido-2-deoxy-β- -glucopyranoside, 2-acetamido-4-O-(2-acetamido-2-deoxy-β- -glucopyranosyl)-2-deoxy-β- -glucopyranoside (di-N-acetyl-β-chitobioside), and O-(2-acetamido-2-deoxy-β- -glucopyranosyl)-(1→4)-O-(2-acetamido-2-deoxy-β- -glucopyranosyl)-(1→4)-2-acetamido-2-deoxy-β- -glucopyranoside (tri-N-acetyl-β-chitotrioside) were obtained in good yield from the corresponding peracetylated glycosyl chlorides by condensation with the sodium salt of 4-methylumbelliferone in N,N-dimethylformamide. The trisaccharide glycoside is hydrolyzed by lysozyme and is, therefore, a convenient substrate for this enzyme; the 4-methylumbelliferone produced can be determined by the increase of the fluorescence intensity at 442 nm. The intensity of the fluorescence of 4-methylumbelliferyl tri-N-acetyl-β-chitotrioside is enhanced upon binding with lysozyme without modification of the position of the absorption maximum. The binding constant and the rate of hydrolysis of the trisaccharide glycoside by lysozyme are higher than those obtained with p-nitrophenyl tri-N-acetyl-β-chitotrioside.     

Maximum likelihood method for the analysis of time-resolved fluorescence decay curves

The usefulness of fluorescence techniques for the study of macromolecular structure and dynamics depends on the accuracy and sensitivity of the methods used for data analysis. Many methods for data analysis have been proposed and used, but little attention has been paid to the maximum likelihood method, generally known as the most powerful statistical method for parameter estimation. In this paper we study the properties and behavior of maximum likelihood estimates by using simulated fluorescence intensity decay data. We show that the maximum likelihood method provides generally more accurate estimates of lifetimes and fractions than does the standard least-squares approach especially when the lifetime ratios between individual components are small. Three novelties to the field of fluorescence decay analysis are also introduced and studied in this paper: a) discretization of the convolution integral based on the generalized integral mean value theorem: b) the likelihood ratio test as a tool to determine the number of exponential decay components in a given decay profile; and c) separability and detectability indices which provide measures on how accurately, a particular decay component can be detected. Based on the experience gained from this and from our previous study of the Padé-Laplace method, we make some recommendations on how the complex problem of deconvolution and parameter estimation of multiexponential functions might be approached in an experimental setting. Offprint requests to: F. G. Prendergast