@article{lin_shah_wang-li_oviedo-rondón_post_2016, title={Development of MOS sensor-based NH3 monitor for use in poultry houses}, volume={127}, ISSN={0168-1699}, url={http://dx.doi.org/10.1016/j.compag.2016.07.033}, DOI={10.1016/j.compag.2016.07.033}, abstractNote={To ensure poultry performance and welfare, ammonia (NH3) concentrations inside poultry houses have to be within acceptable limits; this requires regular NH3 monitoring. While there are low-cost, portable NH3 measuring devices have drawbacks. Due to its low cost, long lifetime, and short response time, a metal oxide semiconductor (MOS) sensor was used to develop a handheld NH3 monitor for use in poultry houses. Since the MOS sensor is affected by humidity and temperature, collocating relative humidity (RH) and temperature sensors with the MOS NH3 sensor and applying temperature and RH compensations greatly improved its performance. Compared to the boric acid scrubber, using broiler litter exhaust gas as the NH3 source, the relative error (RE) and coefficient of variation (CV) of the monitor averaged 7%, comparable to research-grade instruments. The monitor was more accurate than the electrochemical sensor and required less frequent purging. The response time of the unit was ∼1.5 min, the total mass was <1.4 kg while material cost was <$430. Hence, in addition to being convenient, the monitor provided accurate and precise measurements. With further refinements, the monitor has the potential to be used in poultry houses to control ventilation rates as a component of precision livestock farming to improve poultry performance and welfare.}, journal={Computers and Electronics in Agriculture}, publisher={Elsevier BV}, author={Lin, Tianheng and Shah, Sanjay B. and Wang-Li, Lingjuan and Oviedo-Rondón, Edgar O. and Post, Justin}, year={2016}, month={Sep}, pages={708–715} }
 @article{post_bondell_2013, title={Factor Selection and Structural Identification in the Interaction ANOVA Model}, volume={69}, ISSN={["1541-0420"]}, DOI={10.1111/j.1541-0420.2012.01810.x}, abstractNote={SummaryWhen faced with categorical predictors and a continuous response, the objective of an analysis often consists of two tasks: finding which factors are important and determining which levels of the factors differ significantly from one another. Often times, these tasks are done separately using Analysis of Variance (ANOVA) followed by a post hoc hypothesis testing procedure such as Tukey's Honestly Significant Difference test. When interactions between factors are included in the model the collapsing of levels of a factor becomes a more difficult problem. When testing for differences between two levels of a factor, claiming no difference would refer not only to equality of main effects, but also to equality of each interaction involving those levels. This structure between the main effects and interactions in a model is similar to the idea of heredity used in regression models. This article introduces a new method for accomplishing both of the common analysis tasks simultaneously in an interaction model while also adhering to the heredity‐type constraint on the model. An appropriate penalization is constructed that encourages levels of factors to collapse and entire factors to be set to zero. It is shown that the procedure has the oracle property implying that asymptotically it performs as well as if the exact structure were known beforehand. We also discuss the application to estimating interactions in the unreplicated case. Simulation studies show the procedure outperforms post hoc hypothesis testing procedures as well as similar methods that do not include a structural constraint. The method is also illustrated using a real data example.}, number={1}, journal={BIOMETRICS}, author={Post, Justin B. and Bondell, Howard D.}, year={2013}, month={Mar}, pages={70–79} }
 @article{mccormick_grand_post_cubeta_2013, title={Phylogenetic and phenotypic characterization of Fomes fasciatus and Fomes fomentarius in the United States}, volume={105}, ISSN={["1557-2536"]}, DOI={10.3852/12-336}, abstractNote={The wood-decay fungi Fomes fasciatus and F. fomentarius share many morphological characters that historically have made species delimitation challenging. We examined morphological, molecular and physiological characters of basidiomata and pure cultures of F. fasciatus and F. fomentarius sampled from multiple plant hosts and geographic regions in the United States to determine whether they support separation of the two species. We find that mean basidiospore size is significantly larger in F. fomentarius and represents the most informative morphological character for delineating the species. Basidiomata and pore-surface shape provided additional resolution of the species, but these characters often overlap and are more variable than basidiospore size. Phylogenetic analyses of ITS and RPB2 sequences suggest that F. fasciatus and F. fomentarius represent distinct evolutionary lineages. The two species share less than 88% maximum identity for the ITS region. Limited intraspecific sequence variation at each locus also was observed. In vitro experiments of hyphal-growth response to a wide range of temperatures support differences in physiology between the two species.}, number={6}, journal={MYCOLOGIA}, author={McCormick, Meghan A. and Grand, Larry F. and Post, Justin B. and Cubeta, Marc A.}, year={2013}, pages={1524–1534} }