ANALYSIS OF THE DELAWARE MARKET FOR ORGANICALLY GROWN PRODUCE

Agribusiness,

AN ANALYSIS OF CONSUMER PERCEPTIONS OF FRESH FISH AND SEAFOOD IN THE DELMARVA REGION

Consumer/Household Economics,

Boundary of oxidative and overflow metabolism (boom) controller for CHO cell feed control

There is limited literature for CHO cell cultures with low batch glucose concentrations (Gowtham et al. 2017; Lu et al. 2005; Wong et al. 2005). Work like Xu et al. (2016) and Berry et al. (2016) have shown positive results for controlled fed-batch cultures at low glucose concentrations following standard high glucose (5-6 g/L) batch cultures. However, the Xu et al. (2016) and Berry et al. (2016) approaches still accumulate lactate. Controlling glucose earlier could potentially avoid lactate accumulation and lead to even greater improvements in culture outcomes. The objective of this project was to develop an advanced feed controller for CHO cell cultures that maximizes cell growth by maintaining the culture in a state of maximal oxidative metabolism while minimizing overflow metabolism. The Boundary of Oxidative and Overflow Metabolism (BOOM) controller periodically manipulates the feed rate while monitoring online signals to gauge the remaining oxidative “space”, in order to decide whether feed can be increased while remaining in oxidative metabolism. The Oxygen Uptake Rate (OUR) is the primary signal of interest, since it plateaus when a culture shifts from oxidative to overflow metabolism, encoding vital information about metabolic state. This project’s approach is different from past work in that the batch glucose concentrations is much lower (on the order of 1 g/L), the glucose and/or glutamine feeding begins very early in the process, and glucose feed is triggered/controlled by the off-gas sensing of the metabolic state instead of a targeted glucose concentration. During early runs several chemistry effects were observed directly due to the bolus feed additions interfering with the media-dissolved gas equilibrium. For example, a bolus feed that only contained 5 mM bicarbonate, resulted in an observed short sharp decrease in CO2 off-gas as the feed absorbed CO2 from the 5% CO2 sparge gas. Continuous feeding was introduced in subsequent runs as a means to mitigate disrupting the media-dissolved gas-equilibrium and disturbing the off-gas sensing. In order to have effective continuous feeding, the feed pump used a pulse width modulation (PWM) with a 10-minute period to allow extremely low effective feed rates required for the 1-L vessel. Two runs were used to demonstrate that the PWM feed pump could provide these very low pump feed rates for the 1-L vessel containing as little as 500 mL media. Initial glucose concentrations between 0.6 to 2.0 g/L were used (compared to 8 g/L glucose in the standard media formulation). Feedings have started between 6- and 20-hour post-inoculation. Distinct qualitative and quantitative differences have been observed in the corresponding oxygen uptake rate (OTR) responses due to the feeding spikes, suggesting that metabolic state can be detected. The development of the state estimator to control glucose feeding will be presented

Ensemble Sales Forecasting Study in Semiconductor Industry

Sales forecasting plays a prominent role in business planning and business strategy. The value and importance of advance information is a cornerstone of planning activity, and a well-set forecast goal can guide sale-force more efficiently. In this paper CPU sales forecasting of Intel Corporation, a multinational semiconductor industry, was considered. Past sale, future booking, exchange rates, Gross domestic product (GDP) forecasting, seasonality and other indicators were innovatively incorporated into the quantitative modeling. Benefit from the recent advances in computation power and software development, millions of models built upon multiple regressions, time series analysis, random forest and boosting tree were executed in parallel. The models with smaller validation errors were selected to form the ensemble model. To better capture the distinct characteristics, forecasting models were implemented at lead time and lines of business level. The moving windows validation process automatically selected the models which closely represent current market condition. The weekly cadence forecasting schema allowed the model to response effectively to market fluctuation. Generic variable importance analysis was also developed to increase the model interpretability. Rather than assuming fixed distribution, this non-parametric permutation variable importance analysis provided a general framework across methods to evaluate the variable importance. This variable importance framework can further extend to classification problem by modifying the mean absolute percentage error(MAPE) into misclassify error. Please find the demo code at : https://github.com/qx0731/ensemble_forecast_methodsComment: 14 pages, Industrial Conference on Data Mining 2017 (ICDM 2017

Phase transition curves for mesoscopic superconducting samples

We compute the phase transition curves for mesoscopic superconductors. Special emphasis is given to the limiting shape of the curve when the magnetic flux is large. We derive an asymptotic formula for the ground state of the Schr\"odinger equation in the presence of large applied flux. The expansion is shown to be sensitive to the smoothness of the domain. The theoretical results are compared to recent experiments.Comment: 8 pages, 1 figur

Ursinus College Alumni Journal, Fall 1948

Alumni register is in press • Students for tomorrow • Hail and farewell • International relations courses • President\u27s page • Seventy-eighth annual commencement activities • Alumni Day • Women\u27s Club takes inventory! • Have a look on the inside! • Alumni Executive Committee meeting • Locals • Addition and subtraction • Thus spake the registrar • 1948 summer session • Bunny Harshaw Vosters runner-up for tennis championship • News about town • Fetterolf House • Shifting scene • Activities of the Bears : Football; Soccer; Baseball; Track • Ursinus athlete wins Maxwell Award • Bears\u27 teams now have skilled trainerhttps://digitalcommons.ursinus.edu/alumnijournal/1033/thumbnail.jp

Isotopic signature in isolated south-western populations of European brown bear (Ursus arctos)

Stable isotope analysis of animal tissue samples is increasingly used to study the trophic ecology of target species. The isotopic signatures respond to the type of diet, but also to the environmental conditions of their habitat. In the case of omnivorous, seasonal or opportunistic feeding species, the interpretation of isotopic values is more complex, as it is largely determined by food selection, either due to individual choice or because of availability. We analysed C and N isotopes in brown bear (Ursus arctos) hair from four isolated populations of south-western Europe (Cantabrian, Pyrenees, Central Apennines and Alpine) accounting for the geographical and climatic differences among the four areas. We found inter-population differences in isotopic signatures that cannot be attributed to climatic differences alone, indicating that at least some bears from relatively higher altitude populations experiencing higher precipitation (Pyrenees) show a greater consumption of animal foods than those from lower altitudes (Cantabrian and Apennines). The quantification of isotopic niche space using Layman's metrics identified significant similarities between the Cantabrian and Central Apennine samples that markedly differ from the Pyrenean and Alpine. Our study provides a baseline to allow further comparisons in isotopic niche spaces in a broad ranged omnivorous mammal, whose European distribution requires further conservation attention especially for southern isolated populations