Descriptive and Prescriptive Belief in a Just World

The Justice Motive has traditionally been conceptualized as a homeostatic, prevention-focused motivation, but attempts to measure individual differences in the Justice Motive (i.e., the Belief in a Just World) have not treated it as one. The measurement of a motivation requires accounting for both the current state and the goal state, but traditional measurement techniques have relied solely on beliefs about how just the world currently is (i.e., the current state). This has resulted in two major issues in the literature. First is the assumption that everyone who reports believing in a just world has reached that belief because of the same motivation. The second issue is that measurements of the Belief in a Just World have demonstrated only a small relation with the Justice Motive. The present research was designed to address these issues by introducing a second, complementary scale called the Prescriptive Belief in a Just World Scale, which measures beliefs about how just the world should be (i.e., the goal state), to be used in conjunction with the traditional scale, which we now refer to as the Descriptive Belief in a Just World Scale. Across seven studies, we found evidence that the Descriptive and Prescriptive Belief in a Just World Scales are independent and that we can use them to detect significant differences in a number of justice-related variables, judgments of the injustice of specific events, and the willingness to engage in behaviours prototypical of a strong Justice Motive which would be undetectable without the inclusion of our second scale. Taken together, our results suggest that using the Descriptive and Prescriptive Belief in a Just World Scales concurrently allows us to better understand variation in the strength of the Justice Motive

Tough But Fair: The Moderating Effects of Target Status on the Relation Between Social Dominance Orientation and Fairness

The present research investigated the moderating effect of target status on the relation between social dominance orientation and fairness in either a positively or negatively framed limited resource allocation decision. Participants were asked to read medical case files about either a high or low status patient in need of a heart transplant, then assigned the patient a transplant priority rating based on information in the case file and rating criteria provided, before completing Sidanius and Pratto’s Social Dominance Orientation scale. In Study 1, the positively framed allocation task, we found a significant interaction, in which low SDO individuals were less fair and more favourable when making decisions about a low status target, whereas high SDO individuals were less fair and more favourable when making decisions about a high status target. In Study 2, we again found a significant interaction when controlling for belief in a just world, such that low SDO individuals were less fair and more favourable to low status targets than high status targets, whereas high SDO individuals were equally fair to all targets, regardless of status. These results suggest that, on average, when allocating a limited resource, high SDO individuals follow fairness guidelines more closely than low SDO individuals

Book Review: From Basic Needs to Basic Rights: Women\u27s Claim to Human Rights. Edited by Margaret A. Schuler. Washington, D.C.: Women, Law and Development International, 1995. 597 pages.

In the review of this work, Schoenmeyer will adhere to the structure provided by Schuler. In doing so, he will give an overview of the topics addressed in each individual section and then attempt to tie together and further analyze some of the book\u27s main concepts

The explicit dynamic model and inertial parameters of the PUMA 560 arm

To provide COSMOS, a dynamic model based manipulator control system, with an improved dynamic model, a PUMA 560 arm was disassembled; the inertial properties of the individual links were measured; and an explicit model incorporating all of the non-zero measured parameters was derived. The explicit model of the PUMA arm has been obtained with a derivation procedure comprised of several heuristic rules for simplification. A simplified model, abbreviated from the full explicit model with a 1% significance criterion, can be evaluated with 805 calculations, one fifth the number required by the recursive Newton-Euler method. The procedure used to derive the model is laid out; the measured inertial parameters are presented, and the model is included in an appendix

Progressive alignment with Cactus: a multiple-genome aligner for the thousand-genome era [preprint]

Cactus, a reference-free multiple genome alignment program, has been shown to be highly accurate, but the existing implementation scales poorly with increasing numbers of genomes, and struggles in regions of highly duplicated sequence. We describe progressive extensions to Cactus that enable reference-free alignment of tens to thousands of large vertebrate genomes while maintaining high alignment quality. We show that Cactus is capable of scaling to hundreds of genomes and beyond by describing results from an alignment of over 600 amniote genomes, which is to our knowledge the largest multiple vertebrate genome alignment yet created. Further, we show improvements in orthology resolution leading to downstream improvements in annotation

Enabling comparative genomics at the scale of hundreds of species

Comparing related (homologous) subsequences between genomes from different species gives insight into their function. This information is captured in ``genome alignments'', which are essential for almost all comparative genomics analyses. However, most existing methods to create a genome alignment suffer from reference-bias (where only one genome is fully aligned to all others), or ignore duplication events. Though the Cactus genome aligner avoided these restrictions, it could not align more than a few genomes without becoming cost-prohibitive as well as losing accuracy. I developed and refined a “progressive alignment” extension to Cactus to allow it to produce a full alignment in time linear in the number of input genomes while maintaining similar, or often improved, quality. This new method allows Cactus to align hundreds of large vertebrate genomes---enabling comparative genomics at an unprecedented scale. During its development I used Cactus as an essential component of several successful comparative genomics projects. Working closely with the 200 Mammals and Bird 10K projects, I have used Cactus to create an alignment of over 600 bird and mammal genomes, which is by far the largest genome alignment ever created. Finally, I have utilized this alignment to provide a highest-possible-resolution annotation of mammalian and avian evolutionary constraint, using the uniquely large number of taxa to enable the examination of weak effects of purifying selection

Progressive Cactus is a multiple-genome aligner for the thousand-genome era

New genome assemblies have been arriving at a rapidly increasing pace, thanks to decreases in sequencing costs and improvements in third-generation sequencing technologies(1-3). For example, the number of vertebrate genome assemblies currently in the NCBI (National Center for Biotechnology Information) database(4) increased by more than 50% to 1,485 assemblies in the year from July 2018 to July 2019. In addition to this influx of assemblies from different species, new human de novo assemblies(5) are being produced, which enable the analysis of not only small polymorphisms, but also complex, large-scale structural differences between human individuals and haplotypes. This coming era and its unprecedented amount of data offer the opportunity to uncover many insights into genome evolution but also present challenges in how to adapt current analysis methods to meet the increased scale. Cactus(6), a reference-free multiple genome alignment program, has been shown to be highly accurate, but the existing implementation scales poorly with increasing numbers of genomes, and struggles in regions of highly duplicated sequences. Here we describe progressive extensions to Cactus to create Progressive Cactus, which enables the reference-free alignment of tens to thousands of large vertebrate genomes while maintaining high alignment quality. We describe results from an alignment of more than 600 amniote genomes, which is to our knowledge the largest multiple vertebrate genome alignment created so far

Accurate switching intensities and length scales in quasi-phase-matched materials

We consider unseeded Type I second-harmonic generation in quasi-phase-matched (QPM) quadratic nonlinear materials and derive an accurate analytical expression for the evolution of the average intensity. The intensity-dependent nonlinear phase mismatch due to the QPM induced cubic nonlinearity is found. The equivalent formula for the intensity for maximum conversion, the crossing of which changes the nonlinear phase-shift of the fundamental over a period abruptly by $\pi$, corrects earlier estimates by more than a factor of 5. We find the crystal lengths necessary to obtain an optimal flat phase versus intensity response on either side of this separatrix intensity.Comment: 3 pages with 3 figure