Aggressive scaling of CMOS transistors has enabled extensive system integration and building faster and more efficient systems. On the flip side, this has resulted in an increasing number of devices that fail in shipped components in-the-field for a variety of reasons including soft errors, wear-out failures, and infant mortality. The pervasiveness of the problem across a broad market demands l...

Zinc-α2-glycoprotein (ZAG) plays an important role in the regulation of body weight, body fat, and glucose metabolism. In this study, we first measured ZAG levels in serum and ZAG mRNA levels in subcutaneous white adipose tissue (sWAT) among overweight/obese patients and lean control subjects. Second, we investigated the effects of ZAG administration on the body weight, body fat and glucose met...

[1] Impact of climate change on streamflow in the Upper Mississippi River Basin is evaluated by use of a regional climate model (RCM) coupled with a hydrologic model, Soil and Water Assessment Tool (SWAT). The RCM we used resolves, at least partially, some fine-scale dynamical processes that are important contributors to precipitation in this region and that are not well simulated by global mod...

Reliable water quality models are needed to forecast the water quality consequences of different agricultural nutrient management scenarios. In this study, the Soil and Water Assessment Tool (SWAT), version 2000, was applied to simulate streamflow, riverine nitrate (NO(3)) export, crop yield, and watershed nitrogen (N) budgets in the upper Embarras River (UER) watershed in east-central Illinois...

Researchers and trialists face many uncertainties when designing and conducting research. Embedded methodology studies can help to resolve these. However, despite hundreds of thousands of trials, there are probably only a few hundred studies assessing the effects of different methods for doing this research. The concept of the SWAT (Study Within A Trial) programme is to aid the development of s...

Distributed hydrologic models based on small‐scale physical processes tend to have a large number of parameters to represent spatial heterogeneity. This characteristic requires the use of a large number of parameters in model calibration. It is a common view that calibration with a large number parameters produces overparameterization and overfitting. Recent work using prior information, spatia...