Explore the vast range of titles available.

The discipline of criminology, the existing body of research, and the toolkit of criminological research have changed dramatically since the March 1985 inaugural issue of the Journal of Quantitative Criminology.

Laub discusses his experience serving as a former editor of the Journal of Quantitative Criminilology.

Quantitative methods and research have a prominent position within the field of criminology. Quantitative studies are presently numerous and of generally high quality, and the Journal of Quantitative Criminology has been a major force in influencing this outcome.

Maltz foresees the use of graphical techniques increasing in the Journal of Quantitative Criminology in the future. Aside from their use (and dominance) in geographical criminology, they will augment those who use graphical techniques to ferret out patterns in the huge data sets that become available.

One area of important concern to criminologists should be the issue of criminal careers. Understanding the concept of a criminal career and its various parameters is clearly fundamental to being able to talk about offending patterns and the way they change with age, to distinguish among offenders in the crimes they commit and the frequency with which they commit them, and to assess the effects of incarceration on offending, especially through incapacitation.

The burgeoning of medical sociology has sometimes been accompanied by unfortunate parochialism and the presence of opposing intellectual camps that ignore and even impugn each other's work. We have lost opportunities to achieve creative discourse and integration of different perspectives, methods, and findings. At this stage we should consider how we can foster creative integration within our field.

This chapter contains sections titled: Introduction Assessment in the Curriculum Knowledge, Reasoning and Written Assessment Formats of Written Assessment Item Analysis Standard Setting for Written Assessments Summary Acknowledgements References

Here, we describe a serological enzyme-linked immunosorbent assay for the screening and identification of human SARS-CoV-2 seroconverters. This assay does not require the handling of infectious virus, can be adjusted to detect different antibody types in serum and plasma and is amenable to scaling. Serological assays are of critical importance to help define previous exposure to SARS-CoV-2 in populations, identify highly reactive human donors for convalescent plasma therapy and investigate correlates of protection. Development of an enzyme-linked immunosorbent assay to detect antibodies to the SARS-CoV-2 spike protein in human sera and plasma.

The plaque reduction neutralization test (PRNT), which measures a subset of immunoglobulin antibodies (functional neutralizing antibodies), and the enzyme-linked immunosorbent assay (ELISA), which measures total immunoglobulin (neutralizing and nonneutralizing antibodies), characterize different aspects of the anti-mumps virus antibody response after vaccination. Data from a recent phase 3 clinical trial (NCT01681992) of 2 measles-mumps-rubella vaccines were used to compare anti-mumps antibody responses measured using an unenhanced PRNT (GSK; seropositivity cutoff and threshold, 2.5 and 4 times the 50% end-point dilution, respectively) with those estimated using an ELISA (thresholds, 5 and 10 ELISA units/mL, respectively). Of 3990 initially seronegative samples, 3284 (82.3%) were seropositive after vaccination for anti-mumps antibodies in both assays. The Pearson correlation coefficient for double-positive samples was 0.57, indicative of a moderate correlation. Receiver operating characteristic curve analysis showed that an ELISA threshold of 51.7 ELISA units/mL best corresponded to the PRNT seroresponse threshold. There was no obvious vaccine brand effect on the correlation between assays. The moderate correlation between the anti-mumps antibody measurements obtained with PRNT and ELISA reflects different aspects of the serological response. In the absence of a well-defined protective serological threshold, PRNT provides complementary information on the antibody response, whereas ELISA remains a critically useful measurement of vaccine immunogenicity.

We present an easy-to-use integrated software suite, DIA-NN, that exploits deep neural networks and new quantification and signal correction strategies for the processing of data-independent acquisition (DIA) proteomics experiments. DIA-NN improves the identification and quantification performance in conventional DIA proteomic applications, and is particularly beneficial for high-throughput applications, as it is fast and enables deep and confident proteome coverage when used in combination with fast chromatographic methods. A deep learning-based software tool, DIA-NN, enables deep proteome analysis from data generated using fast chromatographic approaches and data-independent acquisition mass spectrometry.