The Making of Identities and Discourses: Urban Grassroots Environmentalism in China

From the Washington University Senior Honors Thesis Abstracts (WUSHTA), Spring 2018. Published by the Office of Undergraduate Research. Joy Zalis Kiefer, Director of Undergraduate Research and Associate Dean in the College of Arts & Sciences; Lindsey Paunovich, Editor; Helen Human, Programs Manager and Assistant Dean in the College of Arts and Sciences Mentor: Bret Gustafso

THE MARKET REACTION TO STOCK SPLIT ON ACTUAL STOCK SPLIT DAY

It is well documented in the literature that there are positive abnormal returns on the announcement days of stock splits. However, few studies investigated the stock return on the actual split day. We examine market reaction on the actual split day and find that it is positive. We also find a negative relationship between the market reaction and firm size as well as the previous trading volume. The result is in support of the inattention theory

Wireless Channel Delay Spread Performance Evaluation of a Building Layout

Evaluating a building's wireless performance during the building design process is a new paradigm for wireless communications and building design. This paper proposes the earliest building wireless performance (BWP) evaluation theory focusing on the channel delay spread (DS). The novel contributions of this paper lie in the following aspects. 1) We define a new metric called DS gain, which is the first metric for evaluating the channel DS performance of a building under design. 2) We propose an analytical model to compute the metric quickly and accurately. 3) The proposed scheme is validated via Monte-Carlo simulations under typical indoor scenarios. Numerical results reveal that building design has a clear impact on the root mean square (RMS) DS. In the future, architects need to design a building taking its DS gain into account carefully. Otherwise, indoor networks in it will suffer from severe signal inter-symbol interference (ISI) due to an over large DS gain

COVID-19 accelerated digital transformation: The case of Meituan

The outbreak of the COVID-19 pandemic caused disruptions in supply chains. While most existing research suggests ways to improve organizational resilience, our research raises the question of whether the pandemic has accelerated digital transformation at the organizational level. Using the case of Meituan in China, we investigate the supply chain disruptions caused by COVID-19, the strategies taken by Meituan to address the problems and their strategic implications. Starting as a fast food delivery company, Meituan has developed into a leading online shopping platform in China specialized in using digital technologies to provide on-demand delivery services. Our research on Meituan during COVID-19 shows that companies can leverage emerging technologies to improve business models and deliver long-term strategic benefits through digital transformation, rather than focusing solely on improving organizational resilience to reduce uncertainty risk

Modified Kedem-Katchalsky equations for osmosis through nano-pore

This work presents a modified Kedem-Katchalsky equations for osmosis through nano-pore. osmotic reflection coefficient of a solute was found to be chiefly affected by the entrance of the pore while filtration reflection coefficient can be affected by both the entrance and the internal structure of the pore. Using an analytical method, we get the quantitative relationship between osmotic reflection coefficient and the molecule size. The model is verified by comparing the theoretical results with the reported experimental data of aquaporin osmosis. Our work is expected to pave the way for a better understanding of osmosis in bio-system and to give us new ideas in designing new membranes with better performance.Comment: 19 pages, 4 figure

Growth curves for cattle, and the effect of ammonia-treatment of cereal grains on bovine production performance and faecal proteome

The rate of growth of livestock is an important determinant of profitable and environmentally sustainable production systems. Slowly growing animals usually have higher fixed costs of production than rapidly growing animals, and their greenhouse gas emissions intensity (GHG EI) is higher. This thesis investigates the growth of cattle – firstly by investigation of mathematical models of growth, and then by the investigation of the effects of a recently developed method for cereal grain preservation using enzymecatalysed urea. Finally, the thesis considers faecal proteomic examination as a potential tool to detect health and growth performance differences in cattle. The thesis had two main aims: (1) to find the most suitable growth models for cattle at different life stages using high-density bodyweight data and determine whether the best fitting model(s) improved parameter estimation in comparison with the traditional linear model; (2) to describe the effect of the enzyme-catalysed ammonia treatment of cereal grains on the growth performance of finishing beef cattle and their faecal proteome. Chapter 2 describes investigations into animal growth models for cattle. Animal growth models can be used to quantify animal growth rates, inform about animal health status, and can serve as the basis for strategies to improve animal productivity and genetic selection. However, model fitting for retrospective performance of animal growth has mostly used relatively infrequent bodyweight (BW) observations. Recent technical developments have enabled multiple records of BW for every single animal every day, automatically weighing animals when they drink milk replacer or water, during milking, or when moving between yards or pens. The logistic, Brody, Gompertz, von Bertalanffy and Richards models were applied to high-density but intermittent bodyweight data from the whole of life of Holstein-Friesian cows; the linear, quadratic, cubic, power and exponential models were fitted to near-continuous BWs of Holstein and Holstein-cross calves for the first 100 days or so of life; the linear, logarithmic and negative exponential models were fitted to nearcontinuous bodyweights of mixed-breed beef cattle for the last 100 days or so before slaughter. Model comparisons were based on goodness-of-fit statistics and estimations of biological parameters. Generalized linear models were fitted to compare the strength of association between known correlates of growth rate and observed growth rate using two alternative models of growth. Full data sets from the calves and reduced (sparse) data sets were used for comparison of parameter estimate precision derived from the best fitting model and the traditional linear model. The von Bertalanffy model was the best growth model to describe the whole of life of the lactating Holstein-Friesian cows, the exponential model was the most suitable model for calves, and both the linear and the negative exponential models performed well for fitting to the growth of the finishing beef cattle. Application of the exponential model in calves improved the precision of parameter estimation and the sensitivity of analysis of known correlates of growth compared with the traditional linear model, with both high-density and sparse data. Chapter 3 describes two trials: one was conducted on a Scottish beef finishing unit where the cattle were fed on a diet based on barley that was treated with ammonia (ATB) or propionate preservatives (PTB), and the other was conducted in a typical Italian beef fattening system where the cattle were fed on a maize-based diet with ammonia treatment (ATM) or without the ammonia treatment (UTM). Consistent with the findings in Chapter 2 that there was little consistent benefit in using non-linear models rather than traditional linear models for analysing growth of cattle in the fattening period, the growth rate estimates in chapter 3 used the traditional method - average daily gain (ADG). Growth performance of animals from groups in each trial were compared, and effects of the treatment on ruminal volatile fatty acids and faeces were studied. The enzyme-catalysed ammonia treatment of grain decreased FCR and faecal starch concentrations, having similar effects of improving the growth performance of cattle in beef fattening systems to those previously reported in studies u sing direct insufflation with anhydrous ammonia. This method of processing cereal grains has the potential to increase nutrient utilization on commercial cattle farms. Chapter 4 addresses a potential problem with faecal proteomic studies for cattle: whether highly abundant high molecular weight glycoproteins have detrimental effects on protein identification from faeces that were prepared by filter-aided sample preparation (FASP) method. Therefore, an in-gel sample preparation method (IGSP) was developed, which increased the number of bovine faecal protein identifications. In Chapter 5, to follow up on the apparent differences in faecal starch and occurrence of diarrhoea in the cattle that were fed ATB or PTB in Chapter 3, the faecal proteomes of a subset of animals were investigated. Faecal samples were analysed by nanoflow ultrahighperformance liquid chromatography-electrospray ionisation-tandem mass spectrometry (nUHPLC-ESI-MS/MS, Orbitrap Elite) after IGSP as developed in Chapter 4, trypsin digestion and TMT labelling. Data were assigned using the Sequest HT search engine to interrogate sequences in bovine, barley, bacterial (Clostridium, Bacteroides, Ruminococcus, Prevotella and Eubacterium) and archaeal (30 methanogenic genera) databases in Swissprot and TrEMBL using Proteome Discoverer (PD). Pairwise protein abundance ratios for animals on the two diets were calculated, with the hypothesis test as the background-based t-test in PD. Antibodies to bovine serum albumin and barley serpin Z4 were used in western blots (WB) to validate the results from proteomics. In total, 281 bovine proteins, 199 barley proteins, 176 bacterial proteins and 190 archaeal proteins were identified in the bovine faeces. The presence of bovine serum albumin and barley serpin Z4 were confirmed by WB. Mucin 2 was the most abundant host protein identified in the faeces, and many host digestive enzymes and protease inhibitors were also found. Barley serpin Z4 was the most abundant barley protein identified in the faeces. Many microbial proteins were identified in the faecal samples, with a large proportion of bacteria from Clostridium, and Methanobrevibacter was the dominant archaeal genus. The host proteins were significantly over-represented in biological processes such as microtubule-based movement, defence response to Gram-positive bacterium, negative regulation of endopeptidase activity, cell migration and proteolysis. The microbial proteins were over-represented in biological processes including carbohydrate metabolism, gluconeogenesis, glucose metabolism and glycolysis. Thirty-nine proteins were differentially abundant in the two treatment groups, the majority being more abundant in the PTB group compared to the ATB group (28 vs 11). The investigations described in this thesis identified the best models for growth of cattle at different life stages, and demonstrated the potential to improve the precision of parameter estimations by the most suitable nonlinear models as an alternative to the traditional linear model for calves up to about four months old. The enzyme-catalysed ammonia treatment improved the production performance of finishing beef cattle in two distinct systems. New protocols for faecal proteomic investigation were developed and the effects of enzymecatalysed ammonia treatment on the faecal proteome were examined. The host, dietary, and microbial proteins of bovine faecal samples in this system were identified, providing a foundation for the future study of cattle GI-related diseases and optimizing diets for cattle to improve performance