Justice Reinvestment: winding back imprisonment

Justice reinvestment was introduced as a response to mass incarceration and racial disparity in the United States in 2003. This book examines justice reinvestment from its origins, its potential as a mechanism for winding back imprisonment rates, and its portability to Australia, the United Kingdom and beyond. The authors analyze the principles and processes of justice reinvestment, including the early neighborhood focus on 'million dollar blocks'. They further scrutinize the claims of evidence-based and data-driven policy, which have been used in the practical implementation strategies featured in bipartisan legislative criminal justice system reforms. This book takes a comparative approach to justice reinvestment by examining the differences in political, legal and cultural contexts between the United States and Australia in particular. It argues for a community-driven approach, originating in vulnerable Indigenous communities with high imprisonment rates, as part of a more general movement for Indigenous democracy. While supporting a social justice approach, the book confronts significantly the problematic features of the politics of locality and community, the process of criminal justice policy transfer, and rationalist conceptions of policy. It will be essential reading for scholars, students and practitioners of criminal justice and criminal law

Discipline-Specific Employability Skills and Awareness via the Virtual Learning Environment: Piloting an Innovative and Transferable Approach

In the context of increased internationalisation and use of online distance learning in higher education, educators are faced with the challenge of promoting diverse students’ employability in an inclusive, effective and discipline-specific way. Few case studies have demonstrated how employability skills can be embedded within the core online learning. This presentation will address this gap by documenting how discipline-specific skills were systematically identified in a job market analysis, and integrated into the virtual learning environment, in an MSc Global Mental Health programme. Attendees will be provided with practical tools, guidance and reflection prompts

Rates of niche and phenotype evolution lag behind diversification in a temperate radiation

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.Environmental change can create opportunities for increased rates of lineage diversification, but continued species accumulation has been hypothesized to lead to slowdowns via competitive exclusion and niche partitioning. Such density-dependent models imply tight linkages between diversification and trait evolution, but there are plausible alternative models. Little is known about the association between diversification and key ecological and phenotypic traits at broad phylogenetic and spatial scales. Do trait evolutionary rates coincide with rates of diversification, are there lags among these rates, or is diversification niche-neutral? To address these questions, we combine a deeply sampled phylogeny for a major flowering plant clade—Saxifragales—with phenotype and niche data to examine temporal patterns of evolutionary rates. The considerable phenotypic and habitat diversity of Saxifragales is greatest in temperate biomes. Global expansion of these habitats since the mid-Miocene provided ecological opportunities that, with density-dependent adaptive radiation, should result in simultaneous rate increases for diversification, niche, and phenotype, followed by decreases with habitat saturation. Instead, we find that these rates have significantly different timings, with increases in diversification occurring at the mid-Miocene Climatic Optimum (∼15 Mya), followed by increases in niche and phenotypic evolutionary rates by ∼5 Mya; all rates increase exponentially to the present. We attribute this surprising lack of temporal coincidence to initial niche-neutral diversification followed by ecological and phenotypic divergence coincident with more extreme cold and dry habitats that proliferated into the Pleistocene. A lack of density-dependence contrasts with investigations of other cosmopolitan lineages, suggesting alternative patterns may be common in the diversification of temperate lineages

LSST Science Book, Version 2.0

A survey that can cover the sky in optical bands over wide fields to faint magnitudes with a fast cadence will enable many of the exciting science opportunities of the next decade. The Large Synoptic Survey Telescope (LSST) will have an effective aperture of 6.7 meters and an imaging camera with field of view of 9.6 deg^2, and will be devoted to a ten-year imaging survey over 20,000 deg^2 south of +15 deg. Each pointing will be imaged 2000 times with fifteen second exposures in six broad bands from 0.35 to 1.1 microns, to a total point-source depth of r~27.5. The LSST Science Book describes the basic parameters of the LSST hardware, software, and observing plans. The book discusses educational and outreach opportunities, then goes on to describe a broad range of science that LSST will revolutionize: mapping the inner and outer Solar System, stellar populations in the Milky Way and nearby galaxies, the structure of the Milky Way disk and halo and other objects in the Local Volume, transient and variable objects both at low and high redshift, and the properties of normal and active galaxies at low and high redshift. It then turns to far-field cosmological topics, exploring properties of supernovae to z~1, strong and weak lensing, the large-scale distribution of galaxies and baryon oscillations, and how these different probes may be combined to constrain cosmological models and the physics of dark energy.Comment: 596 pages. Also available at full resolution at http://www.lsst.org/lsst/sciboo

A function-first approach to identifying formulaic language in academic writing

publication-status: Publishedtypes: ArticleThere is currently much interest in creating pedagogically-oriented descriptions of formulaic language. Research in this area has typically taken what we call a ‘form-first’ approach, in which formulas are identified as the most frequent recur- rent forms in a relevant corpus. While this research continues to yield valuable results, the present paper argues that much can also be gained by taking a ‘function-first’ approach, in which a corpus is first annotated for communicative functions and formulas are then identified as the recurrent patterns associated with each function. We demonstrate this approach through a comparative analysis of introductions to student essays and research articles. Focusing on one particularly com- mon communicative function, the analysis demonstrates that (1) this function is more common in student essays than in articles; (2) both the choice to use the function and the choice of linguistic forms that realize the function vary across sub- ject areas in research articles, but not in student essays; (3) research articles tend to be more formulaic in expressing the function than student essays; and (4) some parts of the forms used are highly formulaic, while others are more open. The key formulas are described and suggestions made regarding their pedagogical presentation

Energy compensation following consumption of sugar-reduced products: a randomized controlled trial

PURPOSE: Consumption of sugar-reformulated products (commercially available foods and beverages that have been reduced in sugar content through reformulation) is a potential strategy for lowering sugar intake at a population level. The impact of sugar-reformulated products on body weight, energy balance (EB) dynamics and cardiovascular disease risk indicators has yet to be established. The REFORMulated foods (REFORM) study examined the impact of an 8-week sugar-reformulated product exchange on body weight, EB dynamics, blood pressure, arterial stiffness, glycemia and lipemia. METHODS: A randomized, controlled, double-blind, crossover dietary intervention study was performed with fifty healthy normal to overweight men and women (age 32.0 ± 9.8 year, BMI 23.5 ± 3.0 kg/m2) who were randomly assigned to consume either regular sugar or sugar-reduced foods and beverages for 8 weeks, separated by 4-week washout period. Body weight, energy intake (EI), energy expenditure and vascular markers were assessed at baseline and after both interventions. RESULTS: We found that carbohydrate (P < 0.001), total sugars (P < 0.001) and non-milk extrinsic sugars (P < 0.001) (% EI) were lower, whereas fat (P = 0.001) and protein (P = 0.038) intakes (% EI) were higher on the sugar-reduced than the regular diet. No effects on body weight, blood pressure, arterial stiffness, fasting glycemia or lipemia were observed. CONCLUSIONS: Consumption of sugar-reduced products, as part of a blinded dietary exchange for an 8-week period, resulted in a significant reduction in sugar intake. Body weight did not change significantly, which we propose was due to energy compensation

Telomerecat: A ploidy-agnostic method for estimating telomere length from whole genome sequencing data.

Telomere length is a risk factor in disease and the dynamics of telomere length are crucial to our understanding of cell replication and vitality. The proliferation of whole genome sequencing represents an unprecedented opportunity to glean new insights into telomere biology on a previously unimaginable scale. To this end, a number of approaches for estimating telomere length from whole-genome sequencing data have been proposed. Here we present Telomerecat, a novel approach to the estimation of telomere length. Previous methods have been dependent on the number of telomeres present in a cell being known, which may be problematic when analysing aneuploid cancer data and non-human samples. Telomerecat is designed to be agnostic to the number of telomeres present, making it suited for the purpose of estimating telomere length in cancer studies. Telomerecat also accounts for interstitial telomeric reads and presents a novel approach to dealing with sequencing errors. We show that Telomerecat performs well at telomere length estimation when compared to leading experimental and computational methods. Furthermore, we show that it detects expected patterns in longitudinal data, repeated measurements, and cross-species comparisons. We also apply the method to a cancer cell data, uncovering an interesting relationship with the underlying telomerase genotype