Multilayers of Fluorinated Amphiphilic Polyions for Marine Fouling Prevention

Sequential layer-by-layer (LbL) deposition of polyelectrolytes followed by chemical cross-linking was investigated as a method to fabricate functional amphiphilic surfaces for marine biofouling prevention applications. A novel polyanion, grafted with amphiphilic perfluoroalkyl polyethylene glycol (fPEG) side chains, was synthesized and subsequently used to introduce amphiphilic character to the LbL film. The structure of the polyanion was confirmed by FTIR and NMR. Amphiphilicity of the film assembly was demonstrated by both water and hexadecane static contact angles. XPS studies of the cross-linked and annealed amphiphilic LbL films revealed the increased concentration of fPEG content at the film interface. In antifouling assays, the amphiphilic LbL films effectively prevented the adhesion of the marine bacterium Pseudomonas (NCIMB 2021)

The Cryptic African Wolf: Canis aureus lupaster Is Not a Golden Jackal and Is Not Endemic to Egypt

The Egyptian jackal (Canis aureus lupaster) has hitherto been considered a large, rare subspecies of the golden jackal (C. aureus). It has maintained its taxonomical status to date, despite studies demonstrating morphological similarities to the grey wolf (C. lupus). We have analyzed 2055 bp of mitochondrial DNA from C. a. lupaster and investigated the similarity to C. aureus and C. lupus. Through phylogenetic comparison with all wild wolf-like canids (based on 726 bp of the Cytochrome b gene) we conclusively (100% bootstrap support) place the Egyptian jackal within the grey wolf species complex, together with the Holarctic wolf, the Indian wolf and the Himalayan wolf. Like the two latter taxa, C. a. lupaster seems to represent an ancient wolf lineage which most likely colonized Africa prior to the northern hemisphere radiation. We thus refer to C. a. lupaster as the African wolf. Furthermore, we have detected C. a. lupaster individuals at two localities in the Ethiopian highlands, extending the distribution by at least 2,500 km southeast. The only grey wolf species to inhabit the African continent is a cryptic species for which the conservation status urgently needs assessment

An Assessment of Forecasting Methods for a Specialty Chemical Company

This thesis is being archived as a Digitized Shelf Copy for campus access to current students and staff only. We currently cannot provide this open access without the author's permission. If you are the author of this work and desire to provide it open access or wish access removed please contact the Wahlstrom Library to discuss permission.This thesis evaluated forecasting procedures that could improve sales forecasting outputs for a specialty chemical company. Quantitative forecasting methods were used to investigate the correlation between sales and certain economic indicators. Sales forecasts were prepared using time-series and causal forecasting methods. Sales volumes could be forecasted with a 95% confidence level by using two different methods. Additional research is recommended to managers who want to find other business barometers traceable to their sales outlook

Establishing Cyber Warfare Doctrine

Over the past several decades, advances in technology have transformed communications and the ability to acquire, disseminate, and utilize information in a range of environments. Modern societies and their respective militaries have taken advantage of a robust information space through network-centric systems. Because military and commercial operations have increasingly converged, communication and information infrastructures are now high-priority military objectives in times of war. This article examines the theoretical underpinning of current cyber warfare research, what we have learned so far about its application, and some of the emerging themes to be considered; it also postulates the development of a (national) cyber warfare doctrine (CWD). An endeavor of this scale requires lots of considerations and preparation for its development if it is to be cooperatively embraced. This article considers why information technology systems and their supporting infrastructures should be considered legitimate military targets in conflicts, and offers several events that support this supposition. In addition, it identifies the various forms of doctrine that will become the basis for developing a CWD, discusses a CWD's possible components, and proposes a national collaborative and discussion framework for obtaining a nation's stakeholder buy-in for such a

DNA-DNA Hybridization Studies and Marsupial Phylogeny

DNA-DNA hybridisations using \u27unique\u27 DNA sequences have been done on 11 marsupial species representing seven of the major families. The phylogenetic reconstruction of the branching sequence of the species studied is largely consistent with previous taxonomic predictions. This technique will be important in resolving some of the currently outstanding problems of marsupial taxonomy

Evaluation and application of the CPM Dairy Nutrition model

The Cornell-Penn-Miner (CPM) Dairy is an applied mathematical nutrition model that computes dairy cattle requirements and the supply of energy and nutrients based on characteristics of the animal, the environment and the physicochemical composition of the feeds under diverse production scenarios. The CPM Dairy was designed as a steady-state model to use rates of degradation of feed carbohydrate and protein and the rate of passage to estimate the extent of ruminal fermentation, microbial growth, and intestinal digestibility of carbohydrate and protein fractions in computing energy and protein post-rumen absorption, and the supply of metabolizable energy and protein to the animal. The CPM Dairy version 3.0 (CPM Dairy 3.0) includes an expanded carbohydrate fractionation scheme to facilitate the characterization of individual feeds and a sub-model to predict ruminal metabolism and intestinal absorption of long chain fatty acids. The CPM Dairy includes a non-linear optimization algorithm that allows for least-cost formulation of diets while meeting animal performance, feed availability and environmental restrictions of modern dairy cattle production. When the CPM Dairy 3.0 was evaluated with data of 228 individual lactating dairy cows containing appropriate information including observed dry matter intake, the linear regression between observed and model-predicted milk production values indicated the model was able to account for 79.8% of the variation. The concordance correlation coefficient (CCC) was high (rc=0.89) without a significant mean bias (0.52 kg/d; P=0.12). The accuracy estimated by the CCC was 0.997. The root of mean square error of prediction (MSEP) was 5.14 kg/d (0.16 of the observed mean) and 87.3% of the MSEP was due to random errors, suggesting little systematic bias in predicting milk production of high-producing dairy cattle. Based upon these evaluations, it was concluded the CPM Dairy 3.0 model adequately predicts milk production at the farm level when appropriate animal characterization, feed composition and feed intake are provided; however, further improvements are needed to account for individual animal variation