Designing Smart Places: towards a holistic, recombinant approach

Hence the volume offers an intellectual resource that expands on the current literature, but also provides a pedagogical resource to universities as well as a reflective opportunity for practitioners

� 1000 V CDM � DHVQFN20 packageNXP Semiconductors

CBTL02043A/B is a 2 differential channel, 2-to-1 multiplexer/demultiplexer switch for PCI Express Generation 3 (Gen3), or other high-speed serial interface applications. The CBTL02043A/B can switch two differential signals to one of two locations. Using a unique design technique, NXP has minimized the impedance of the switch such that the attenuation observed through the switch is negligible, and also minimized the channel-to-channel skew as well as channel-to-channel crosstalk, as required by the high-speed serial interface. CBTL02043A/B allows expansion of existing high-speed ports for extremely low power. The device's pinouts are optimized to match different application layouts. CBTL02043A has input and output pins on the opposite of the package, and is suitable for edge connector(s) with different signal sources on the motherboard. CBTL02043B has outputs on both sides of the package, and the device can be placed between two connectors to multiplex differential signals from a controller. Please refer to Section 8 for layout examples. 2. Features and benefits � 2 bidirectional differential channel, 2: 1 multiplexer/demultiplexe

Vector-Borne Disease Surveillance & Control Training Needs Assessment

A major goal of the Northeast Regional Center for Excellence in Vector Borne Diseases is to develop training and education tools for public health professionals. The purpose of this needs assessment survey was a first step in these education efforts. We sought to understand perceived gaps in training and workforce needs related to vector-borne disease and public health. Needs assessment content was targeted to public health practitioners, vector control districts and associations, integrated pest management researchers and educators, and state emergency preparedness staff working in the Northeast region of the US.The Northeast Regional Center for Excellence in Vector-Borne Diseases is supported through Cooperative Agreement Number 1U01CK000509-01 between the Centers for Disease Control and Prevention (CDC) and Cornell Universit

Quick assessment for systematic test statistic inflation/deflation due to null model misspecifications in genome-wide environment interaction studies.

Gene-environment (GxE) interaction is one potential explanation for the missing heritability problem. A popular approach to genome-wide environment interaction studies (GWEIS) is based on regression models involving interactions between genetic variants and environment variables. Unfortunately, GWEIS encounters systematically inflated (or deflated) test statistics more frequently than a marginal association study. The problematic behavior may occur due to poor specification of the null model (i.e. the model without genetic effect) in GWEIS. Improved null model specification may resolve the problem, but the investigation requires many time-consuming analyses of genome-wide scans, e.g. by trying out several transformations of the phenotype. It is therefore helpful if we can predict such problematic behavior beforehand. We present a simple closed-form formula to assess problematic behavior of GWEIS under the null hypothesis of no genetic effects. It requires only phenotype, environment variables, and covariates, enabling quick identification of systematic test statistic inflation or deflation. Applied to real data from the Alzheimer's Disease Neuroimaging Initiative (ADNI), our formula identified problematic studies from among hundreds GWEIS considering each metabolite as the environment variable in GxE interaction. Our formula is useful to quickly identify problematic GWEIS without requiring a genome-wide scan