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Foreword by Clyde Barker and Thomas E. Starzl A History of Organ Transplantationis a comprehensive and ambitious exploration of transplant surgery-which, surprisingly, is one of the longest continuous medical endeavors in history. Moreover, no other medical enterprise has had so many multiple interactions with other fields, including biology, ethics, law, government, and technology. Exploring the medical, scientific, and surgical events that led to modern transplant techniques, Hamilton argues that progress in successful transplantation required a unique combination of multiple methods, bold surgical empiricism, and major immunological insights in order for surgeons to develop an understanding of the body's most complex and mysterious mechanisms. Surgical progress was nonlinear, sometimes reverting and sometimes significantly advancing through luck, serendipity, or helpful accidents of nature.The first book of its kind,A History of Organ Transplantationexamines the evolution of surgical tissue replacement from classical times to the medieval period to the present day. This well-executed volume will be useful to undergraduates, graduate students, scholars, surgeons, and the general public. Both Western and non-Western experiences as well as folk practices are included.

Little research has focused carefully on the means by which peer mentors foster development in undergraduate protégés. Two faculty members developed a holistic, peer-mentoring project in which 26 upperclassmen mentored 74 underclassmen at a midsize, 4-year institution. Mentor journal notes, open-ended protégé responses, and participant observations were analyzed using a grounded theory approach, resulting in the emergence of 7 themes of mentor service activity. Findings expand our understanding of the mechanics through which peer mentors successfully serve and foster the development of early undergraduates in making the transition to college. Results can be used to facilitate the transition of academically underprepared undergraduates, who have the lowest retention rates.

A glycosyltransferase, α1,3galactosyltransferase, catalyzes the terminal step in biosynthesis of Galα1,3Galβ1-4GlcNAc-R (αGal), an oligosaccharide cell surface epitope. This epitope or antigenically similar epitopes are widely distributed among the different forms of life. Although abundant in most mammals, αGal is not normally found in catarrhine primates (Old World monkeys and apes, including humans), all of which produce anti-αGal antibodies from infancy onward. Natural selection favoring enhanced resistance to αGal-positive pathogens has been the primary reason offered to account for the loss of αGal in catarrhines. Here, we question the primacy of this immune defense hypothesis with results that elucidate the evolutionary history of GGTA1 gene and pseudogene loci. One such locus, GGTA1P, a processed (intronless) pseudogene (PPG), is present in platyrrhines, i.e., New World monkeys, and catarrhines but not in prosimians. PPG arose in an early ancestor of anthropoids (catarrhines and platyrrhines), and GGTA1 itself became an unprocessed pseudogene in the late catarrhine stem lineage. Strong purifying selection, denoted by low nonsynonymous substitutions per nonsynonymous site/synonymous substitutions per synonymous site values, preserved GGTA1 in noncatarrhine mammals, indicating that the functional gene product is subjected to considerable physiological constraint. Thus, we propose that a pattern of alternative and/or more beneficial glycosyltransferase activity had to first evolve in the stem catarrhines before GGTA1 inactivation could occur. Enhanced defense against αGal-positive pathogens could then have accelerated the replacement of αGal-positive catarrhines by αGal-negative catarrhines. However, we emphasize that positively selected regulatory changes in sugar chain metabolism might well have contributed in a major way to catarrhine origins.

Thule Air Base in western Greenland had a previously uncharacterized mosquito pest problem. Swarms of bloodfeeding mosquitoes have been reported from June to late August, but the species were unknown. We conducted a base-wide mosquito vector survey from June to July 2012. One species of mosquito, Aedes impiger, was collected and >3,000 were processed for polymerase chain reaction–based virus surveillance. Active mosquito breeding sites were located throughout the base and surrounding valley. Two pools of mosquitoes from Thule Air Base tested positive for an Orthobunyavirus; however, DNA sequencing of the viral amplicons was not complete enough to fully identify the agent.

Instructional coaching that supports teachers' with revising teaching practices is not understood. This study sought to understand the impact of the instructional coaching experience by recording coaching conversations/interactions with teachers. The purpose was to determine if the type of coaching conversations changed overtime during three defined time periods within a 3- year project. A quantitative design was conducted using a sample size of 5 faith-based elementary schools. Data was collected using the Instructional Coaching Scale by Woodruff. The results revealed that instructional coaching conversations/ interactions changed towards a more interactive style and teachers became more involved in the coaching experience.

The Politics of Race, Ethnicity and Language in National Censuses examines the ways that states have attempted to pigeon-hole the people within their boundaries into racial, ethnic, and language categories. These attempts, whether through American efforts to divide the US population into mutually exclusive racial categories, or through the Soviet system of inscribing nationality categories on internal passports, have important implications not only for people's own identities and life chances, but for national political and social processes as well. The book reviews the history of these categorizing efforts by the state, and offers a theoretical context for examining them, illustrating the case with studies from a range of countries.

Using the state's public nuisance abatement laws, City Attorney James Hahn and his Gang Prosecution Unit have successfully pursued an innovative strategy in the fight against gang terrorism in the city of Los Angeles.

Dengue is a mosquito-borne viral infection that has spread throughout the tropical world over the past 60 years and now affects over half the world’s population. The geographical range of dengue is expected to further expand due to ongoing global phenomena including climate change and urbanization. We applied statistical mapping techniques to the most extensive database of case locations to date to predict global environmental suitability for the virus as of 2015. We then made use of climate, population and socioeconomic projections for the years 2020, 2050 and 2080 to project future changes in virus suitability and human population at risk. This study is the first to consider the spread of Aedes mosquito vectors to project dengue suitability. Our projections provide a key missing piece of evidence for the changing global threat of vector-borne disease and will help decision-makers worldwide to better prepare for and respond to future changes in dengue risk. Statistical mapping techniques provide insights into the current geographical spread of the mosquito-borne dengue virus infection and predict changes in the areas that will be environmentally suitable to the virus for the years 2020, 2050 and 2080.

Magnetic resonance imaging (MRI) has transformed our understanding of the human brain through well-replicated mapping of abilities to specific structures (for example, lesion studies) and functions 1 – 3 (for example, task functional MRI (fMRI)). Mental health research and care have yet to realize similar advances from MRI. A primary challenge has been replicating associations between inter-individual differences in brain structure or function and complex cognitive or mental health phenotypes (brain-wide association studies (BWAS)). Such BWAS have typically relied on sample sizes appropriate for classical brain mapping 4 (the median neuroimaging study sample size is about 25), but potentially too small for capturing reproducible brain–behavioural phenotype associations 5 , 6 . Here we used three of the largest neuroimaging datasets currently available—with a total sample size of around 50,000 individuals—to quantify BWAS effect sizes and reproducibility as a function of sample size. BWAS associations were smaller than previously thought, resulting in statistically underpowered studies, inflated effect sizes and replication failures at typical sample sizes. As sample sizes grew into the thousands, replication rates began to improve and effect size inflation decreased. More robust BWAS effects were detected for functional MRI (versus structural), cognitive tests (versus mental health questionnaires) and multivariate methods (versus univariate). Smaller than expected brain–phenotype associations and variability across population subsamples can explain widespread BWAS replication failures. In contrast to non-BWAS approaches with larger effects (for example, lesions, interventions and within-person), BWAS reproducibility requires samples with thousands of individuals. Combined data from three large studies, with a total sample size of around 50,000 individuals, indicate that many previous studies linking the brain to complex phenotypes have been statistically underpowered, producing inflated and irreproducible effects.

Breast cancers are complex ecosystems of malignant cells and the tumour microenvironment 1 . The composition of these tumour ecosystems and interactions within them contribute to responses to cytotoxic therapy 2 . Efforts to build response predictors have not incorporated this knowledge. We collected clinical, digital pathology, genomic and transcriptomic profiles of pre-treatment biopsies of breast tumours from 168 patients treated with chemotherapy with or without HER2 (encoded by ERBB2 )-targeted therapy before surgery. Pathology end points (complete response or residual disease) at surgery 3 were then correlated with multi-omic features in these diagnostic biopsies. Here we show that response to treatment is modulated by the pre-treated tumour ecosystem, and its multi-omics landscape can be integrated in predictive models using machine learning. The degree of residual disease following therapy is monotonically associated with pre-therapy features, including tumour mutational and copy number landscapes, tumour proliferation, immune infiltration and T cell dysfunction and exclusion. Combining these features into a multi-omic machine learning model predicted a pathological complete response in an external validation cohort (75 patients) with an area under the curve of 0.87. In conclusion, response to therapy is determined by the baseline characteristics of the totality of the tumour ecosystem captured through data integration and machine learning. This approach could be used to develop predictors for other cancers. Integration of pre-treatment tumour features in predictive models using machine learning could inform on response to therapy.