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Distinguishing 2,4-D and dicamba herbicide formulations in cotton and soybean tissue is challenging in regulation of crop injury from these herbicides. Additionally, stewardship of 2,4-D and dicamba technologies is important to maximize their longevity and efficacy. Research was conducted to (1) characterize cotton and soybean response to various formulations of 2,4-D or dicamba with or without glyphosate, (2) develop a method for classifying these formulations in crop tissue, and (3) optimize use of chloroacetamide herbicides in dicamba systems for mitigation of selection pressure on dicamba. Formulations evaluated include dicamba diglycolamine (DGA), dimethylamine (DMA), N,N-Bis-(3-aminopropyl) methylamine (BAPMA), and DGA plus potassium acetate (KAc); and 2,4-D DMA, acid, isooctyl ester (ESTER), and choline. Weed management by the chloroacetamides s-metolachlor and acetochlor was evaluated with applications preemergence (PRE), early postemergence (EP), late postemergence (LP), PRE followed by (fb) EP, PRE fb LP, and EP fb LP. Cotton and soybean response differed by 2,4-D and dicamba formulation, and glyphosate presence. Cotton yield was reduced by 200 to 500 kg ha-1 following exposure to 2,4-D choline or DMA relative to acid or ESTER. Glyphosate presence led to a reduction in cotton and soybean yield of 377 and 572 kg ha-1, respectively. Exposure to dicamba DMA resulted in a 263 kg ha-1 reduction in soybean yield relative to dicamba DGA, and glyphosate presence reduced yield by 439 and 246 kg ha-1 in cotton and soybeans, respectively. Chemometric analyses generated models capable of up to 85% accuracy in identifying dicamba formulation in cotton and soybean tissue, and up to 80% accuracy in identifying 2,4-D formulation. Split chloroacetamide applications improved cotton yield up to 60%, reduced weed densities up to 90%, and improved control up to 56% relative to single applications. Cotton height was reduced up to 23% if a single chloroacetamide application was made. Soybean yield was maximized following any chloroacetamide application timing except PRE alone, and weed control was reduced up to 31% following single chloroacetamide application relative to split applications. These results will aid regulatory bodies in managing use of new weed control technologies and will assist producers in stewarding these new technologies.

Off-target herbicide movement onto rice is an annual problem in rice-producing areas within Mississippi. In Mississippi, rice is routinely drill‐seeded in April to early May. Because these dates often coincide with preplant and/or preemergence (PRE) herbicide applications to corn (Zea mays L.), cotton (Gossypium hirsutum L.), and soybean [Glycine max (L.) Merr.], drift onto neighboring rice crops is likely to occur. Although the effects of off-target movement of paraquat on rice may not be visibly apparent, the potential effect on rough rice yield could be detrimental. Field research was conducted at the Delta Research and Extension Center in Stoneville, MS, in 2019, 2020, and 2021 to characterize rice response to exposure to a range of sub-lethal concentrations of paraquat during the vegetative and reproductive growth phases. Other field experiments characterized rice response to exposure to a sub-lethal concentration of paraquat at different stages of reproductive growth. A final field experiment evaluated rice response and barnyardgrass control with labeled herbicides after exposure to a sub-lethal concentration of paraquat.

In this dissertation I investigate and compare the impairments of long-lived operating assets under US Generally Accepted Accounting Principles (US GAAP) and International Financial Reporting Standards (IFRS) from different perspective, including the informativeness, determinants, and market valuation of asset impairments. A firm invests in long-lived operating assets with the expectation of generating future benefit. The decision or recognition of asset impairments implies such future benefit is expected to be lower than originally estimated. US GAAP and IFRS both require the recognition of impairment losses but their standards and accounting approaches are different in several ways. These distinctions raise the question whether the reported long-lived asset impairments under US GAAP and IFRS are comparable and motivate this dissertation. I investigate the predictive ability of reported asset write-offs for firms' future performance and find negative associations suggesting the informativeness of impairment losses. But such informativeness depends on the type of assets impaired, the accounting standards adopted, and the institutional characteristics. In general, aggregate impairments are persistently associated with future performance under IFRS but not US GAAP. The impairments of tangible assets have more predictive ability than those of intangibles. For IFRS adopters, enforcement takes a more important role in determining the informativeness of asset impairments than legal origins. I also examine the determinants and attributes of asset impairments under US GAAP and IFRS. I find both of them reflect certain economic factors and reporting incentives. Under US GAAP asset impairments strongly reflect GDP growth, unemployment rate, industry-trend and reporting incentives, including taking a big bath and income smoothing. Under IFRS the impairments reflect most economic factors but less reporting incentives. However, when enforcement is low in IFRS countries, firms tend to manage earnings through asset write-offs. I further address the market valuation of asset write-offs under US GAAP and IFRS. The reporting of asset impairments improves the explanatory power of accounting information for equity prices under IFRS but not US GAAP, especially when enforcement is high. The associations between asset write-offs and equity prices under IFRS in high enforcement countries are significantly different from those under US GAAP, implying investors weigh reported impairments under IFRS. I also use stock returns as an alternative metric of market valuation. Under US GAAP, asset write-offs are negatively associated with past, current, and future stock returns. Under IFRS in high enforcement countries the effects of impairment loss concentrate on past and current stock returns. The results of comparisons suggest asset write-offs under US GAAP and IFRS are not totally comparable from a market perspective. This dissertation contributes to literature on special items, impairment accounting, and reporting under IFRS. It is also related to the comparability of financial reporting under US GAAP and IFRS. While studies have compared overall properties of the two standards, examining the differences in a specific accounting area is also important as U.S. SEC express concern about the convergence of different accounting standards and whether U.S. should incorporate IFRS into its financial reporting systems. / Business Administration/Accounting

This article reviews the design and behaviour of composite beams with precast hollow core slabs in multi-storey buildings for gravity loading. A brief history of composite construction and introduction to precast¿composite construction is given, followed by an overview of recent research work on various factors affecting the design. This includes the push-off test procedure, the load¿slip characteristic of the headed shear studs and the design procedures for this type of construction. Finite element modelling of the headed stud shear connectors and the composite beams with precast hollow core slabs are presented. Finally, recommendations and future research work is also suggested.

The quality of many beverages and food products is compromised by the presence of low molecular weight aldehydes. Aldehydes are commonly formed during storage by the oxidation of lipids or are introduced as migrants from polymeric packaging material. The objective of this project was to evaluate the effectiveness of three aldehyde scavenging agents, blended into poly(ethylene terephthalate) (PET) films, in removing an aliphatic series of aldehydes from an acidified aqueous model solution (pH 3.6) during storage. Aldehyde concentration in solution was determined by an improved high performance liquid chromatography method involving the formation of aldehyde-hydrazine complexes by 2,4-dinitrophenylhydrazine. Storage of 25 μM mixtures of acetaldehyde, propionaldehyde, butyraldehyde, valeraldehyde, and caproaldehyde in contact with PET films blended with 5% poly(m-xylylene adipamide) (nylon MXD6), D-sorbitol, or alpha-cyclodextrin reduced the concentration of each aldehyde in solution by 21 to 90% after 14 days of exposure. D-sorbitol and alpha-cyclodextrin aldehyde scavenging PET films were the most effective treatments for the reduction of aldehydes from solution showing similar average reductions for the five aldehyde species of 11.4 and 13.8 μM, respectively. PET films blended with nylon MXD6 were less effective in removing aldehydes from solution showing an average reduction of 8.4 μM for the five aldehyde species. However, nylon MXD6 proved to the most efficient aldehyde scavenging agent tested. D-sorbitol and alpha-cyclodextrin blends include 45 and 17 times more aldehyde scavenging sites then nylon MXD6 blends, but only showed 26 and 39% improvements in aldehyde scavenging ability when compared to nylon MXD6 blends. Aldehyde scavenging films demonstrated selective scalping preferring smaller molecular weight aldehydes, such as acetaldehyde, propionaldehyde, and butyraldehyde, more than larger aldehydes, valeraldehyde and caproaldehyde. Partition coefficients for smaller aldehydes were 3 to 6 times greater for aldehyde scavenging films then control film. / Ph. D.

The U.S. EPA has identified pathogen indicators as a leading cause of impairments in rivers and streams in the U.S. Elevated levels of bacteria in streams draining the agricultural watersheds cause concern because they indicate the potential presence of pathogenic organisms. Limited understanding of how bacteria survive in the environment and are released from fecal matter and transported along overland flow pathways results in high uncertainty in the design and selection of appropriate best management practices (BMPs) and in the bacterial fate and transport models used to identify sources of pathogens. The overall goal of this study was to improve understanding of the fate and transport mechanisms of two pathogen indicators, E. coli and enterococci, from grazed pasturelands. This goal was addressed by monitoring pathogen indicator concentrations in fresh fecal deposits for an extended period of time. Transport mechanisms of pathogen indicators were examined by developing a method to partition between the attached and unattached phases and then applying this method to analyze runoff samples collected from small box plots and large transport plots. The box plot experiments examined the partitioning of pathogen indicators in runoff from three different soil types while the transport plot experiments examined partitioning at the edge-of-the-field from well-managed and poorly-managed pasturelands. A variety of techniques have been previously used to assess bacterial attachment to particulates including filtration, fractional filtration and centrifugation. In addition, a variety of chemical and physical dispersion techniques are employed to release attached and bioflocculated cells from particulates. This research developed and validated an easy-to-replicate laboratory procedure for separation of unattached from attached E. coli with the ability to identify particle sizes to which indicators preferentially attach. Testing of physical and chemical dispersion techniques identified a hand shaker treatment for 10 minutes followed by dilutions in 1,000 mg L-1 of Tween-85 as increasing total E. coli concentrations by 31% (P value = 0.0028) and enterococci concentrations by 17% (P value = 0.3425) when compared to a control. Separation of the unattached and attached fractions was achieved by fractional filtration followed by centrifugation. Samples receiving the filtration and centrifugation treatments did not produce statistically different E. coli (P value = 0.97) or enterococci (P value = 0.83) concentrations when compared to a control, indicating that damage was not inflicted upon the cells during the separation procedure. In-field monitoring of E. coli and enterococci re-growth and decay patterns in cowpats applied to pasturelands was conducted during the spring, summer, fall and winter seasons. First order approximations were used to determine die-off rate coefficients and decimal reduction times (D-values). Higher order approximations and weather parameters were evaluated by multiple regression analysis to identify environmental parameters impacting in-field E. coli and enterococci decay. First order kinetics approximated E. coli and enterococci decay rates with regression coefficients ranging from 0.70 to 0.90. Die-off rate constants were greatest in cowpats applied to pasture during late winter and monitored into summer months for E. coli (k = 0.0995 d-1) and applied to the field during the summer and monitored until December for enterococci (k = 0.0978 d-1). Decay rates were lowest in cowpats applied to the pasture during the fall and monitored over the winter (k = 0.0581 d-1 for E. coli and k = 0.0557 d-1 for enterococci). Higher order approximations and the addition of weather variables improved regression coefficients (R2) to values ranging from 0.81 to 0.97. Statistically significant variables used in the models for predicting bacterial decay included temperature, solar radiation, rainfall and relative humidity. Attachment of E. coli and enterococci to particulates present in runoff from highly erodible soils was evaluated through the application of rainfall to small box plots containing different soil types. Partitioning varied by indicator and by soil type. In general, enterococci had a higher percent attached to the silty loam (49%) and silty clay loam (43%) soils while E. coli had a higher percent attached to the loamy fine sand soils (43%). At least 50% of all attached E. coli and enterococci were associated with sediment and organic particles ranging from 8 – 62 μm in diameter. Much lower attachment rates were observed from runoff samples collected at the edge-of-the-field, regardless of pastureland management strategy. On average, 4.8% of E. coli and 13% of enterococci were attached to particulates in runoff from well-managed pasturelands. A second transport plot study found that on average only 0.06% of E. coli PC and 0.98% of enterococci were attached to particulates in runoff from well-managed pasturelands, but percent attachment increased slightly in runoff from poorly-managed pasture with 2.8% of E. coli and 1.23% of enterococci attached to particulates. Equations to predict E. coli and enterococci loading rates in the attached and unattached forms as a function of total suspended solids (TSS), phosphorous and organic carbon loading rates appeared to be a promising tool for improving prediction of bacterial loading rates from grazed pasturelands (R2 values ranged from 0.61 to 0.99). This study provides field-based seasonal die-off rate coefficients and higher order approximations to improve predictions of indicator re-growth and decay patterns. The transport studies provide partitioning coefficients that can be implemented into NPS models to improve predictions of bacterial concentrations in surface waters and regression equations to predict bacterial partitioning and loading based on TSS and nutrient data. Best management practices to reduce bacterial loadings to the edge-of-the-field from pasturelands (regardless of management strategy) should focus on retention of pathogen indicators moving through overland flow pathways in the unattached state. Settling of particulates prior to release of runoff to surface waters might be an appropriate method of reducing bacterial loadings by as much as 50% from highly erodible soils. / Ph. D.

The open bin packing problem (OBPP) is a new variant of the well-known bin packing problem. In the OBPP, items are packed into bins so that the total content before the last item in each bin is strictly less than the bin capacity. The objective is to minimize the number of bins used. The applications of the OBPP can be found in the subway station systems in Hong Kong and Taipei and the scheduling in manufacturing industries. We show that the OBPP is NP-hard and propose two heuristic algorithms instead of solving the problem to optimality. We propose two offline algorithms in which the information of the items is known in advance. First, we consider the First Fit Decreasing (FFD) which is a good approximation algorithm for the bin packing problem. We prove that its asymptotic worst-case performance ratio is no more than 3/2. We observe that its performance for the OBPP is worse than that of the BPP. Consequently, we modify it by adding the algorithm that the set of largest items is the set of last items in each bin. Then, we propose the Modified First Fit Decreasing (MFFD) as an alternative and prove that its asymptotic worst-case performance ratio is no more than 91/80. We conduct empirical tests to show their average-case performance. The results show that in general, the FFD and MFFD algorithms use no more than 33% and 1% of the number of bins than that of optimal packing, respectively. In addition, the MFFD is asymptotically optimal when the sizes of items are (0,1) uniformly distributed. / Ph. D.