Effect of grain and secondary phase morphologies in the mechanical and damping behavior of Al7075 alloys

The present study evaluates the role of the microstructure in the static and dynamic mechanical behavior of as-cast Al7075 alloy promoted by ultrasonic treatment (US) during solidification. The characterization of samples revealed that US treatment promoted grain and intermetallics refinement, changed the shape of the intermetallic phases (equilibrium phases of soluble M and/or T (Al, Cu, Mg, Zn) and their insoluble Al-Cu-Fe compounds) and lead to their uniform distribution along the grain boundaries. Consequently, the mechanical properties and damping capacity above critical strain values were enhanced by comparison with values obtained for castings produced without US vibration. This results suggest that the grain and secondary phases refinement by US can be a promising solution to process materials to obtain high damping and high strength characteristics.     

Executive Summary—Community Water Supply: The Handpump Option

An estimated 1,800 million people need improved water supplies in the fifteen years to the end of the century, if developing countries are to reach the target of full coverage. The first half of the International Drinking Water Supply and Sanitation Decade (1981–1990) has seen increases in the percentages of the rural population with access to safe water supplies, but only in Asia has the pace been quick enough to envisage a target of essentiahy full coverage by the end of the century (ten years later than the original Decade goals). In Africa, present progress rates would leave half of the rural population still without safe water in the year 2000, while in Latin America, it may be ten years into the next century before full coverage is achieved unless progress improves dramatically.

Accelerated progress is hampered by financial and technical resource constraints faced by many developing countries, and the problem is aggravated by the growing number of completed projects which are broken down and abandoned, or functioning much below capacity. Attempts to increase the pace of providing improved community water supplies have often been frustrated because the technology used has proved impossible to sustain in village conditions.

To make a lasting impact on the urgent needs, community water supply (CWS) strategies must be based on sustainable and replicable programs, and must take account of the pace at which resource constraints can be overcome. Human resource development programs take time to produce results, and institutional changes can only be accomplished gradually.     

The public health approach to youth violence and child maltreatment prevention at the Centers for Disease Control and Prevention.

Millions of people in the United States suffer the consequences of violence, including physical injuries, psychological trauma, and death. Solutions to violence have traditionally been reactive. Through the lens of the public health perspective, the Centers for Disease Control and Prevention (CDC) views violence as predictable based on various contributing factors, and thus as preventable. Within CDC, the Division of Violence Prevention (DVP) leads efforts to prevent injury, death, and disability, and to reduce the suffering and medical costs caused by violence. DVP employs a multidisciplinary, public health approach to identify factors associated with violence, and to develop, evaluate, and disseminate preventive interventions. Psychology is one discipline that has contributed to our approach. The authors present a series of violence prevention initiatives funded by the CDC that are framed within a public health perspective, with attention to the contributions of psychology to youth violence and child maltreatment prevention. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

ARCHER: an automated RF-IC Rx front-end circuit design tool

This paper presents a tool capable of automatically compiling the circuit of a direct-conversion receiver at the schematics level based on system specifications that include the frequency of operation, gain, noise figure, IIP2 and IIP3 linearity. The front-end of a direct-conversion receiver is built using inductive source degeneration (LSD) LNA and double-balanced source-degenerated Gilbert Cell mixers with charge injection. The tool uses power constrained noise and linearity optimization vector-space algorithms that automatically size the transistors, passive components, and find the optimum biasing points. The solution generated by the tool is automatically read by Agilent ADS where the blocks are easily fine-tuned and validated before layout. Case studies involving WiMAX, UMTS, GSM, Bluetooth and WLAN are presented to reveal the capabilities of the tool in reducing the design time.     

Social insecurity and coronary-prone Type A responses as identifiers of severe atherosclerosis.

Tests measuring the coronary-prone Type A behavior pattern, anxiety, and neuroticism (Jenkins Activity Survey and a series of true–false items dealing with the latter 2 characteristics) were administered to 95 26–68 yr old male patients undergoing coronary angiography. Item analyses suggest that Ss with more serious coronary atherosclerosis were hard-driving, hard-working Type A individuals who put pressure on themselves to solve problems, meet deadlines, and move up the social ladder. At the same time, these patients were often uncomfortable in their interpersonal relationships, and they felt awkward and insecure in groups. They obtained their rewards in life from seeking achievement rather than from socializing with people. They seemed to have a low threshold for becoming tense or depressed. Results suggest that the combination of these 2 sets of essentially independent psychological characteristics, Type A behavior and social insecurity, portends a greater severity of atherosclerosis than the possession of either single characteristic alone. (23 ref) (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

IDES: An Internet Distance Estimation Service for Large Networks

The responsiveness of networked applications is limited by communications delays, making network distance an important parameter in optimizing the choice of communications peers. Since accurate global snapshots are difficult and expensive to gather and maintain, it is desirable to use sampling techniques in the Internet to predict unknown network distances from a set of partially observed measurements. This paper makes three contributions. First, we present a model for representing and predicting distances in large-scale networks by matrix factorization which can model suboptimal and asymmetric routing policies, an improvement on previous approaches. Second, we describe two algorithms-singular value decomposition and non-negative matrix factorization-for representing a matrix of network distances as the product of two smaller matrices. Third, based on our model and algorithms, we have designed and implemented a scalable system-Internet Distance Estimation Service (IDES)-that predicts large numbers of network distances from limited samples of Internet measurements. Extensive simulations on real-world data sets show that IDES leads to more accurate, efficient and robust predictions of latencies in large-scale networks than existing approaches     

On the solution of linear-programming problems with free (unrestricted) variables

This paper reviews the way free (unrestricted) variables are handled in the formulation and solution of linear-programming problems, and how such variables are processed in computerbased mathematical programming systems. Key theorems are proved that demonstrate the role of free variables in an optimal solution.     

Estimating the Number of Items on Life Test

If n items are on life test where n is unknown, and failures are observed either until time T has elapsed or until r failures have occurred, then an estimate of n can be obtained. Both maximum likelihood and Bayes estimates are obtained and both known and unknown failure distributions are considered.     

Model dependency of multivariate autoregressive spectral analysis

A combination of simulations and experimental data analysis has been used to demonstrate that, because cardiovascular control represents a complex linking of input and output parameters, interpreting the variability of individual parameters such as heart rate and arterial pressure virtually requires the use of techniques that quantify control by relating these inputs and outputs. Transfer functions represent appropriate techniques for this purpose. Further, despite the complexities of in vivo physiological control, many of the control elements can be well characterized by only taking into account single inputs and outputs and using a bivariate AR model. However, occasionally when two control systems have a strong and simultaneous influence on a single output parameter, such as arterial pressure and respiratory activity on RR interval, an expansion of the model to the general multivariate case may be required for a complete interpretation. Finally, although not fully demonstrated here, because of the closed-loop nature of cardiovascular control it is likely that algorithms that include causality to account for this characteristic, such as the AR formulation, will most accurately identify the transfer relations