Learning disability and leadership: Becoming an effective leader

This study investigates learning disability (LD) as an individual‐differences variable predicting leadership emergence, role occupancy, and effectiveness. We hypothesize that individuals with LD are less likely to occupy leadership roles, and that informal group processes (leadership emergence) will mediate the relationship between LD and leadership role occupancy. We also hypothesized that, among leaders promoted and selected for leadership training, there would be a negative relationship between LD and effective leadership. We first checked for LD in a sample of 1076 soldiers, measuring cognitive ability with a geometric‐analogies test as a control. Some months later, during the soldiers' basic training, we measured leadership emergence. We then identified those who were selected for leadership training, recording, and measuring their effectiveness according to supervisory and peer evaluations. Leadership emergence was found to mediate the negative relationship between LD and leadership role occupancy. There were no significant differences among leaders (n = 308) with and without LD in regard to leadership effectiveness. Copyright © 2013 John Wiley & Sons, Ltd.     

How stable are personalities? A multivariate view of behavioural variation over long and short timescales in the sheepshead swordtail,Xiphophorus birchmanni

Many studies have revealed repeatable (among-individual) variance in behavioural traits consistent with variation in animal personality; however, these studies are often conducted using data collected over single sampling periods, most commonly with short time intervals between observations. Consequently, it is not clear whether population-level patterns of behavioural variation are stable across longer timescales and/or multiple sampling periods or whether individuals maintain consistent ranking of behaviours (and/or personality) over their lifetimes. Here, we address these questions in a captive-bred population of a tropical freshwater poeciliid fish, Xiphophorus birchmanni. Using a multivariate approach, we estimate the among-individual variance-covariance matrix (I), for a set of behavioural traits repeatedly assayed in two different experimental contexts (open-field trials, emergence and exploration trials) over long-term (56 days between observations) and short-term (4-day observation interval) time periods. In both long- and short-term data sets, we find that traits are repeatable and the correlation structure of I is consistent with a latent axis of variation in boldness. While there are some qualitative differences in the way individual traits contribute to boldness and a tendency towards higher repeatabilities in the short-term study, overall, we find that population-level patterns of among-individual behavioural (co)variance to be broadly similar over both time frames. At the individual level, we find evidence that short-term studies can be informative for an individual’s behavioural phenotype over longer (e.g. lifetime) periods. However, statistical support is somewhat mixed and, at least for some observed behaviours, relative rankings of individual performance change significantly between data sets.     

Online Water Monitoring Method as a Water Security Tool: A Feasibility View

Since the tragic event on September 11, 2001 (9/11), homeland security has been the center of major attention not only in the United States but also around the world. Among homeland security agenda, more concerns on drinking water system have been drawn into the forefront attention from the public and water industry. Governmental agencies have been called upon to strongly protect the water resources from becoming a possible terror target. The online monitoring of a water system offers the potential to reduce the possible danger from a terrorist contamination as well as from unintentional chemical spills. As potential terrorist contaminants, seven chemical compounds (aldicarb, cycloheximide, dicrotophos, nicotine, sodium arsenate, sodium cyanide, and sodium fluoroacetate) were studied at different doses, in order to determine their detectability when they are present in a water system, including intake, treatment, and distribution. These contaminants were monitored by measuring simple water quality parameters such as conductivity, pH, chlorine residual, turbidity, total organic carbon (TOC), and UV254. Results indicated that the contaminants used for the study were detected at certain toxicity concentrations through the online water quality monitoring method. This method provides a useful tool for watching water resources against possible terror attacks, and also keeping safe water quality.     

Climate as a group level phenomenon: Theoretical assumptions and methodological considerations

Climate is a group‐level phenomenon that should be measured and studied at the group level. The group level has theoretical and methodological advantages over the individual level. In this paper, I theoretically review the assumptions in measuring climate at the individual and group levels and demonstrate that the group‐level assumptions are more adequate for climate research because of their influences in exposure to events, interpretation of events, and preservation of perceptions. Methodologically, I discuss advantages in group‐level climate measurement accuracy that are based on multiple evaluators of climate and I suggest group aggregation is an organizational form of “wisdom of the crowds.” Finally, I point to three topics that remain to be investigated to understand climate at the group level better. The first is use of variability measures to compensate for information that is lost in aggregation. The second is challenging the assumption that formal organizational structure defines the group boundaries. I suggest that other levels of analysis apply to group‐level climate measurement and demonstrate the use of informal, more natural groups as an additional level. Third, I point to recently developed statistical procedures that can aid the study of climate perception emergence over time.     

Valuation of Environmental Resources: The Case of the Brown Bear in the North of Spain

This work concerns the contingent valuation of endangered species. Specifically, it is devoted to quantify and model the value of the brown bear and its habitat in a society in the north of Spain. A single-bound dichotomous choice format for the valuation problem has been chosen. The main models to deal with this format will be recalled. In order to estimate the models, a multistage random sampling method has been developed, namely, two stratified random samplings and a final random routes sampling were carried out. The experiment was designed by taking into account the results of a pilot survey with open format questions. In particular, the total sample size has been determined by estimating the distribution of the errors by bootstrap, and the bid prices were fixed according to the pilot information. The results indicate that the target society gives more value to the brown bear than the one considered in the law in force.     

Identification of PM sources by principal component analysis (PCA) coupled with wind direction data

The effectiveness of combining principal component analysis (PCA) with multi-linear regression (MLRA) and wind direction data was demonstrated in this study. PM data from three grain-size fractions from a highly industrialised area in Northern Spain were analysed. Seven independent PM sources were identified by PCA: steel (Pb, Zn, Cd, Mn) and pigment (Cr, Mo, Ni) manufacture, road dust (Fe, Ba, Cd), traffic exhaust (P, OC + EC), regional-scale transport (, , V), crustal contributions (Al2O3, Sr, K) and sea spray (Na, Cl). The spatial distribution of the sources was obtained by coupling PCA with wind direction data, which helped identify regional drainage flows as the main source of crustal material. The same analysis showed that the contribution of motorway traffic to PM10 levels is 4-5 microg m-3 higher than that of local traffic. The coupling of PCA-MLRA with wind direction data proved thus to be useful in extracting further information on source contributions and locations. Correct identification and characterisation of PM sources is essential for the design and application of effective abatement strategies.     

Non-point source analysis of a railway bridge area using statistical method：Case study of a concrete road-bed

In an effort to protect the quality of the water system, interest in non-point source pollution is increasing. Recently, studies of non-point sources pollution are continuing in relation to various land- use areas, but such studies have not been fully conducted in railway facility sites. Using monitoring data of railway bridge area with concrete road-bed, the runoff characteristics, pollutant unit loads, and first flush criteria were assessed. Railway bridge area with concrete road-bed typically show the first flush effect, and the pollutant unit load was determined to be higher than other public facilities areas. Further, the first flush criteria show an effective rainfall amount of 7 mm. In other words, from the runoff of railway facilities, considerable amounts of non-point source pollutants are occurred, indicating the need to create best management practices which are adequate for railway facility sites.     

Surfactant 4-nonylphenyl-polyethylene glycol stimulates reactive oxygen species generation and apoptosis in human neuroblastoma cells

The formulation of most pesticides is proprietary and individual components are therefore not generally known. In a preliminary study, we identified six compounds that are often present in pesticides, of which 4-nonylphenyl-polyethylene glycol(NP-40) was found to be the most toxic. In this study, we investigated the toxicity of NP-40 and underlying mechanism in neuronal SK-N-SH cells. Exposure to NP 40 at concentrations higher than60 μmol/L for 24 hr decreased cell viability. The cytotoxicity of NP-40 was time-and concentration-dependent. Nuclear fragmentation and chromatin condensation were apparent starting at 50 μmol/L NP-40, and increased at higher concentrations. The expression of apoptotic factors including p53 and B-cell lymphoma(Bcl)-2-associated X protein was upregulated, while that of the anti-apoptotic marker Bcl-2 was downregulated at 80 μmol/L NP-40. Cytochrome c release was observed from 80 to 100 μmol/L by confocal microscopy. Caspase-9 and-3/7 activities increased according to concentration, and fluorescence-activated cell sorting analysis showed that apoptosis was induced at50 μmol/L and was increased at 80 μmol/L. Our findings indicate that NP-40 stimulates the mitochondrial-mediated apoptosis pathway and reactive oxygen species production in a concentration-dependent manner, and suggest that antioxidant administration may be an effective treatment for patients with acute NP-40 poisoning.     

Atmospheric photochemistry and secondary aerosol formation of urban air in Lyon, France

Photochemical aging of volatile organic compounds (VOCs) in the atmosphere is an important source of secondary organic aerosol (SOA). To evaluate the formation potential of SOA at an urban site in Lyon (France), an outdoor experiment using a Potential Aerosol Mass (PAM) oxidation flow reactor (OFR) was conducted throughout entire days during January-February 2017. Diurnal variation of SOA formations and their correlation with OH radical exposure (OHexp), ambient pollutants (VOCs and particulate matters, PM), Relative Humidity (RH), and temperature were explored in this study. Ambient urban air was exposed to high concentration of OH radicals with OHexp in range of (0.2–1.2)×10¹² molecule/(cm³?sec), corresponding to several days to weeks of equivalent atmospheric photochemical aging. The results informed that urban air at Lyon has high potency to contribute to SOA, and these SOA productions were favored from OH radical photochemical oxidation rather than via ozonolysis. Maximum SOA formation (36 µg/m³) was obtained at OHexp of about 7.4 × 10¹¹molecule/(cm³?sec), equivalent to approximately 5 days of atmospheric oxidation. The correlation between SOA formation and ambient environment conditions (RH & temperature, VOCs and PM) was observed. It was the first time to estimate SOA formation potential from ambient air over a long period in urban environment of Lyon.