Numerical Study on the Thermal Performance of Embedded Heat Pipes for CPU Cooling

Thermal management of central processing units (CPU) becomes more challenging in the development and production of high performance computers with faster and smaller size CPUs. Heat pipes are two-phase cooling devices with an effective thermal conductivity over 200 times higher than that of a copper heat sink. In addition, heap pipes have light weight, low cost and the flexibility of many different sizes and shape options which can be embedded into the metallic heat sink to provide more efficient thermal management. In this project, CFD was used to study a heap pipe embedded CPU cooler. The simulated results is validated with the experimental data for the same CPU cooler. Golf ball fans were also introduced to replace the stock fans in the CPU cooler to enhance the heat transfer and lower the operating temperature. The detailed distributions of temperature, velocity, and pressure were used to analyze the performance of the CPU cooler in both cases and found the golf ball fans are more effective than the stock fans

Draft Genome Sequence of Corynebacterium aurimucosum UMB7769, Isolated from the Female Urinary Tract

Here, we present the draft genome sequence of Corynebacterium aurimucosum UMB7769, isolated from the female urinary tract. The size of the genome is 2,731,818 bp, assembled in 50 contigs, with an observed GC content of 60.9% and an N50 score of 129,518 bp. Annotation revealed 31 antibiotic resistance genes

The common genetic influence over processing speed and white matter microstructure: Evidence from the Old Order Amish and Human Connectome Projects.

Speed with which brain performs information processing influences overall cognition and is dependent on the white matter fibers. To understand genetic influences on processing speed and white matter FA, we assessed processing speed and diffusion imaging fractional anisotropy (FA) in related individuals from two populations. Discovery analyses were performed in 146 individuals from large Old Order Amish (OOA) families and findings were replicated in 485 twins and siblings of the Human Connectome Project (HCP). The heritability of processing speed was h(2)=43% and 49% (both p<0.005), while the heritability of whole brain FA was h(2)=87% and 88% (both p<0.001), in the OOA and HCP, respectively. Whole brain FA was significantly correlated with processing speed in the two cohorts. Quantitative genetic analysis demonstrated a significant degree to which common genes influenced joint variation in FA and brain processing speed. These estimates suggested common sets of genes influencing variation in both phenotypes, consistent with the idea that common genetic variations contributing to white matter may also support their associated cognitive behavior

Clinical Study of Continuous Non-Invasive Blood Pressure Monitoring in Neonates

The continuous monitoring of arterial blood pressure (BP) is vital for assessing and treating cardiovascular instability in a sick infant. Currently, invasive catheters are inserted into an artery to monitor critically-ill infants. Catheterization requires skill, is time consuming, prone to complications, and often painful. Herein, we report on the feasibility and accuracy of a non-invasive, wearable device that is easy to place and operate and continuously monitors BP without the need for external calibration. The device uses capacitive sensors to acquire pulse waveform measurements from the wrist and/or foot of preterm and term infants. Systolic, diastolic, and mean arterial pressures are inferred from the recorded pulse waveform data using algorithms trained using artificial neural network (ANN) techniques. The sensor-derived, continuous, non-invasive BP data were compared with corresponding invasive arterial line (IAL) data from 81 infants with a wide variety of pathologies to conclude that inferred BP values meet FDA-level accuracy requirements for these critically ill, yet normotensive term and preterm infants