The presence and behavior of private labels add a significant dimension to price competition among the food system’s subsectors. Recent surveys in two college towns in Texas show a larger price difference between national brands and private labels than previous studies. The increase in price differences are attributed to “horizontal” and “vertica]” influences on priCeS and also to advertising a...

We consider type IIA compactification on K3. We show that the instanton subsectors of the worldvolume of N 4-branes wrapped around K3 lead to a Hagedorn density of BPS states in accord with heterotic-type IIA duality in 6 dimensions. We also find evidence that the correct framework to understand the results of Nakajima on the appearance of affine Kac-Moody algebras on the cohomology of moduli s...

The authors examine industry concentration for the U.S. food manufacturing sector. This study is the first to examine whether particular subsectors within the food manufacturing industry, which operate in the presence of industry-funded check-off programs such as marketing orders, are more or less concentrated than industries without such research and marketing programs. The authors find eviden...

We consider limits of $\mathcal{N} = 4$ super-Yang-Mills (SYM) theory that approach BPS bounds. These result in non-relativistic theories describe the effective dynamics near bounds and upon quantization are known as Spin Matrix Theories. The near-BPS can be obtained by reducing $\mathcal{N}=4$ SYM on a three-sphere integrating out fields become non-dynamical limits. In previous works we have c...

Detailed NH3 emission inventories are important to understand various atmospheric processes, air quality modeling studies, air pollution management, and related environmental and ecological issues. A high-resolution NH3 emission inventory was developed based on state-of-thescience techniques, up-to-date information, and advanced expert knowledge for the Pearl River Delta region, China. To provi...

Predictive maintenance (PdM) uses statistical and machine learning methods to detect predict the onset of faults. PdM is often used in industrial IoT settings energy sector, where research works usually consider specific types faults depending on application. However, since mainly data-driven needs work real time, public availability datasets required order build efficient effective models appl...

We document a significant decline in the level of generalized trust among finance professionals relative to general U.S. population. This occurs across all subsectors and at hierarchy levels is unique industry. It related lack confidence only institutions that are relevant The associated with decreasing socialization as well changes economic conditions professional environment