Annotated Checklist of the Pentatomidae (Heteroptera) of Connecticut

We provide town data for the Pentatomidae in Connecticut. Although this state has been much collected, most sampling has been limited to only a few lo- cations. Species newly recorded for Connecticut are: Halyomorpha halys (Stål), Hymenarcys nervosa (Say), Banasa euchlora Stål, B. sordida (Uhler), and Perillus bioculatus (Fabricius). Podisus neglectus (Westwood) may occur in the state. Other species found in neighboring states may eventually be found in Connecticut: Picromerus bidens (Linnaeus), Rhacognathus americanus Stål, Mcphersonarcys aequalis (Say), Thyanta custator custator (Fabricius), T. custator acerra McAtee, and Amaurochrous brevitylus (Barber and Sailer). We briefly analyze these data, recognizing some faunal elements. More collecting needs to be conducted in the state, so that distribution patterns outlined here can be more broadly understood, and so that species of potential conservation concern can be identified

Annotated Checklist of the Pentatomidae (Heteroptera) of Connecticut

We provide town data for the Pentatomidae in Connecticut. Although this state has been much collected, most sampling has been limited to only a few lo- cations. Species newly recorded for Connecticut are: Halyomorpha halys (Stål), Hymenarcys nervosa (Say), Banasa euchlora Stål, B. sordida (Uhler), and Perillus bioculatus (Fabricius). Podisus neglectus (Westwood) may occur in the state. Other species found in neighboring states may eventually be found in Connecticut: Picromerus bidens (Linnaeus), Rhacognathus americanus Stål, Mcphersonarcys aequalis (Say), Thyanta custator custator (Fabricius), T. custator acerra McAtee, and Amaurochrous brevitylus (Barber and Sailer). We briefly analyze these data, recognizing some faunal elements. More collecting needs to be conducted in the state, so that distribution patterns outlined here can be more broadly understood, and so that species of potential conservation concern can be identified

Finishing the euchromatic sequence of the human genome

The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

Breaking Down Barriers to Pharmacy Graduate Education: The Report of the 2017-2018 Research and Graduate Affairs Committee

The 2017-2018 Research and Graduate Affairs Committee (RGAC) was given three charges aimed at helping academic pharmacy address barriers that must be overcome by both students and schools to attract, retain, and support the development of a diverse, well-rounded, and successful graduate student population. These charges were (1) identifying teaching methodologies, tools and opportunities that graduate programs can introduce into curriculum to overcome barriers to success of today’s and tomorrow’s learners; (2) developing a strategy for achieving member support of the 2016-2017 recommended graduate competencies by identifying gaps in and existing examples of courses or opportunities that achieve competency-based pharmacy graduate education; and (3) identifying potential strategies to address identified barriers to pursuing graduate education, especially among under-represented student populations. This report describes attitudes toward and opportunities related to competency-based education in graduation education in colleges and schools of pharmacy, identifies types of tools schools could use to enhance training towards the competency framework developed by the 2016-2017 RGAC, particularly with regards to the so-called power skills, and outlines a role for AACP in facilitating this training. This report also considers a number of barriers, both perceived and real, that potential students encounter when considering graduate training and suggests strategies to understand the impact of and mitigate these barriers. To strengthen competency-based graduate education, the RGAC puts forth two recommendations that AACP develop a toolkit supporting the training of power skills and that AACP should develop or curate programs or tools to support the use of individual development plans (IDPs). The RGAC also puts forth a suggestion to schools that IDPs be implemented for all students. In considering the barriers to pursuing graduate education, the Committee proposes one policy statement that AACP supports the training and development of an increasingly diverse population of researchers at pharmacy schools through active efforts to promote M.S. and Ph.D. education along with Pharm.D. education. Additionally, the Committee provides recommendations that AACP should expand its efforts in career tracking of graduate students to include collection and/or analysis of data that could inform the Academy’s understanding of barriers to pursuing graduate education in pharmacy schools, the AACP Office of Institutional Research and Effectiveness should expand upon graduate program data described in the annual Profile of Pharmacy Students report, and finally that AACP should include graduate programs in efforts to increase diversity of students at pharmacy schools

Association of Multiorgan Computed Tomographic Phenomap With Adverse Cardiovascular Health Outcomes: The Framingham Heart Study

Importance: Increased ability to quantify anatomical phenotypes across multiple organs provides the opportunity to assess their cumulative ability to identify individuals at greatest susceptibility for adverse outcomes. Objective: To apply unsupervised machine learning to define the distribution and prognostic importance of computed tomography-based multiorgan phenotypes associated with adverse health outcomes. Design, Setting, and Participants: This asymptomatic community-based cohort study included 2924 Framingham Heart Study participants between July 2002 and April 2005 undergoing computed tomographic imaging of the chest and abdomen. Participants are from the offspring and third-generation cohorts. Exposures: Eleven computed tomography-based measures of valvular/vascular calcification, adiposity, and muscle attenuation. Main Outcomes and Measures: All-cause mortality and cardiovascular disease (myocardial infarction, stroke, or cardiovascular death). Results: The median age of the participants was 50 years (interquartile range, 43-60 years), and 1422 (48.6%) were men. Principal component analysis identified 3 major anatomic axes: (1) global calcification (defined by aortic, thoracic, coronary, and valvular calcification); (2) adiposity (defined by pericardial, visceral, hepatic, and intrathoracic fat); and (3) muscle attenuation that explained 65.7% of the population variation. Principal components showed different evolution with age (continuous increase in global calcification, decrease in muscle attenuation, and U-shaped association with adiposity) but similar patterns in men and women. Using unsupervised clustering approaches in the offspring cohort (n = 1150), we identified a cohort (n = 232; 20.2%) with an unfavorable multiorgan phenotype across all 3 anatomic axes as compared with a favorable multiorgan phenotype. Membership in the unfavorable phenotypic cluster was associated with a greater prevalence of cardiovascular disease risk factors and with increased all-cause mortality (hazard ratio, 2.61; 95% CI, 1.74-3.92; P \u3c .001), independent of coronary artery calcium score, visceral adipose tissue, and 10-year global cardiovascular disease Framingham risk, and it provided improvement in metrics of discrimination and reclassification. Conclusions and Relevance: This proof-of-concept analysis demonstrates that unsupervised machine learning, in an asymptomatic community cohort, identifies an unfavorable multiorgan phenotype associated with adverse health outcomes, especially in elderly American adults. Future investigations in larger populations are required not only to validate the present results, but also to harness clinical, biochemical, imaging, and genetic markers to increase our understanding of healthy cardiovascular aging