The Impact of Female Leadership in Collegial Courts on Time to Render Merits Decisions: Evidence from the Norwegian Supreme Court

What is the effect of gender on the deliberative process of judging? Drawing on previous research on female leaders’ inclination to foster a more inclusive and collaborative decision-making process, we argue that decision making takes more time in a collegial court when female justices preside over decisional panels. Analyzing an original data set on cases decided by the Norwegian Supreme Court between 2008 and 2019, we find that when a woman is the presiding justice, the duration of case disposition time increases. This effect, however, persists for only eight days. Our finding suggests that institutional practices take effect over gendered effects.publishedVersio

ENVIROSAT-2000 report: Federal agency satellite requirements

The requirement of Federal agencies, other than NOAA, for the data and services of civil operational environmental satellites (both polar orbiting and geostationary) are summarized. Agency plans for taking advantage of proposed future Earth sensing space systems, domestic and foreign, are cited also. Current data uses and future requirements are addressed as identified by each agency

The New Albany Shale gas play in southern Indiana

This poster was presented at the 2006 Eastern Section American Association of Petroleum Geologists, 35th Annual Meeting, in Buffalo, N.Y., October 8-11, 2006.The New Albany Shale (Devonian and Mississippian) in Indiana is mostly brownish-black organic-rich shale with lesser greenish-gray shale. The formation is 100 to 140 feet thick in southeastern Indiana and dips and thickens to the southwest into the Illinois Basin, where it attains a thickness of more than 360 feet in Posey County. Gas production from New Albany Shale began in 1885 and drilling activity continued into the 1930s, when interest waned in favor of more lucrative opportunities elsewhere. Renewed activity, driven by higher gas prices, has been brisk since the mid-1990s, witnessed by the completion of more than 400 productive wells. The majority of these wells were drilled in Harrison County, where production typically occurs at depths from 500 to 1,100 feet and production rates generally range from 20 to 450 MCFGPD. In the past 2 years, Daviess County and surrounding areas have become the focus of New Albany exploration after the El Paso Production No. 2-10 Peterson horizontal discovery well was rumored to have tested 1.3 MMCFGPD at an approximate measured depth of 2,200 feet. New Albany production is mostly from the organic-rich Clegg Creek Member. Gas compositions (C1-C4 and CO2) and carbon and hydrogen isotopic signatures indicate that both purely thermogenic and mixed thermogenic and biogenic gases are produced from the New Albany. Produced water ranges from brine to water diluted through recharge by modern precipitation; the brine zones contain primarily thermogenic gas and the diluted water zones contain gas of mixed thermogenic and biogenic origin

Incremental and Predictive Validity of the Antisocial Process Screening Device in a Community Sample of Male and Female Ethnic Minority and Caucasian Youth

The Antisocial Process Screening Device (APSD) is a well-supported tool for assessing psychopathic features in youth. However, most research with the APSD has been derived from clinical and forensic samples comprised mainly of male Caucasian and African American adolescents. In this prospective study, the incremental and predictive validity of the self-report APSD for violent and non-violent offending was examined in an ethnically diverse community sample of male and female youth (N = 335) aged 12 to 14. High-school students from a moderate sized city in Western Canada completed the self-report APSD and then completed the Self-Report of Offending 6 months later. Receiver Operating Characteristics analysis indicated that APSD total and subscale scores were predictive of violent and non-violent offending at 6-month follow-up with moderate to large effect sizes. In addition, total scores on the APSD added incremental predictive utility above and beyond traditional criminogenic predictors of youth offending (i.e., prior offending, delinquent peer affiliation, poor school achievement, substance use, low parental monitoring). Although sex differences emerged in the predictive utility of the Impulsivity subscale of the APSD vis-à-vis violent offending, sex did not moderate the relationship between APSD total, Narcissism, or Callous/Unemotional scores and offending. In addition, the predictive utility of the APSD did not vary as a function of the youth’s ethnic background. These findings suggest that: (1) the self-report APSD may have utility for risk or threat assessment with normative school populations, (2) APSD findings from higher risk samples generalize to a lower risk sample of high-school youth, and (3) predictive utility of APSD total scores do not differ across male and female Caucasian and ethnic minority youth. &nbsp

Which missing value imputation method to use in expression profiles: a comparative study and two selection schemes

<p>Abstract</p> <p>Background</p> <p>Gene expression data frequently contain missing values, however, most down-stream analyses for microarray experiments require complete data. In the literature many methods have been proposed to estimate missing values via information of the correlation patterns within the gene expression matrix. Each method has its own advantages, but the specific conditions for which each method is preferred remains largely unclear. In this report we describe an extensive evaluation of eight current imputation methods on multiple types of microarray experiments, including time series, multiple exposures, and multiple exposures × time series data. We then introduce two complementary selection schemes for determining the most appropriate imputation method for any given data set.</p> <p>Results</p> <p>We found that the optimal imputation algorithms (LSA, LLS, and BPCA) are all highly competitive with each other, and that no method is uniformly superior in all the data sets we examined. The success of each method can also depend on the underlying "complexity" of the expression data, where we take complexity to indicate the difficulty in mapping the gene expression matrix to a lower-dimensional subspace. We developed an entropy measure to quantify the complexity of expression matrixes and found that, by incorporating this information, the entropy-based selection (EBS) scheme is useful for selecting an appropriate imputation algorithm. We further propose a simulation-based self-training selection (STS) scheme. This technique has been used previously for microarray data imputation, but for different purposes. The scheme selects the optimal or near-optimal method with high accuracy but at an increased computational cost.</p> <p>Conclusion</p> <p>Our findings provide insight into the problem of which imputation method is optimal for a given data set. Three top-performing methods (LSA, LLS and BPCA) are competitive with each other. Global-based imputation methods (PLS, SVD, BPCA) performed better on mcroarray data with lower complexity, while neighbour-based methods (KNN, OLS, LSA, LLS) performed better in data with higher complexity. We also found that the EBS and STS schemes serve as complementary and effective tools for selecting the optimal imputation algorithm.</p

Contemporary and future distributions of cobia, Rachycentron canadum

Climate change has influenced the distribution and phenology of marine species, globally. However, knowledge of the impacts of climate change is lacking for many species that support valuable recreational fisheries. Cobia (Rachycentron canadum) are the target of an important recreational fishery along the U.S. east coast that is currently the subject of a management controversy regarding allocation and stock structure. Further, the current and probable future distributions of this migratory species are unclear, further complicating decision-making. The objectives of this study are to better define the contemporary distribution of cobia along the U.S. east coast and to project potential shifts in distribution and phenology under future climate change scenarios