New bio-analytical separations utilizing chiral mobile phase additives in thin layer chromatography and chiral stationary phases in high performance liquid chromatography

The problem addressed by this dissertation is the separation of optical isomers in commercial as well as biological samples. The chromatographic separation of enantiomers is an important and rapidly developing field of study. Chiral separations of pharmaceutical compounds and important organic intermediates in high performance liquid chromatography (HPLC) and thin layer chromatography (TLC) were achieved. Two methods were employed for the direct liquid chromatographic resolution of chiral analytes: chiral stationary phases (CSPs) and chiral mobile phase additives (CMAs). Native and derivatized ß-cyclodextrins (ß-CD) were used as chiral stationary phases in reverse phase and normal phase HPLC, respectively. This study marked the first use of derivatized ß-CDs for chiral separations in normal phase media. N-carbobenzoxy-glycl-L-proline and (1R)-(-)ammonium-10-camphorsulfonate were utilized as CMAs in normal phase TLC for the resolution of several aromatic amino alcohols. Maltosyl-ß-CD and hydroxypropyl-ß-CD were employed as CMAs in reverse phase TLS. A study was conducted with hydroxypropyl-ß-CD to determine how the degree of substitution of a derivatized CD could effect development time, the viscosity of the solution and the enantioselectivity. In addition, studies were initiated to determine the presence of trace levels of D-amino acids in: amniotic fluid, blood serum and urine. The blood and urine of healthy young adults were analyzed and found to contain trace to percent levels of D-amino acids. The human amniotic fluid samples did not have detectable levels of D-amino acids --Abstract, page iv

Capturing learning from public involvement with people experiencing homelessness to help shape new physiotherapy research: Utilizing a reflective model with an under-served, vulnerable population

INTRODUCTION: People experiencing homelessness (PEH) have poorer health than housed people but face barriers accessing care and being involved in research. As an often-ignored group, their contribution to help shape research that is for and about them is essential, as it can strengthen the research proposal, in turn facilitating research and outcomes that are relevant to this vulnerable group. METHODS: Six people with experience of homelessness attended a PPI consultation aided by Pathway, a UK homeless peer advocacy charity, which coordinates an 'Experts by Experience' group. We present reflections on conducting PPI with PEH that informed the development of a physiotherapy research proposal. Kolb's Experiential Learning Cycle guided reflections across four stages: (1) describing the PPI experience; (2) reviewing and reflecting on the PPI experience; (3) learning from the PPI experience; and (4) planning and trying out learning. RESULTS: Reflections highlighted the importance of: working closely with an advocacy organisation and leader to reach under-served people; the diversity of experiences; using familiar venues, contingency and budget planning; flexibility and 'allowing time; talking less; listening more'; planning for early and ongoing PPI, and the potential of mobile 'one-off' PPI outreach models to reach vulnerable groups. CONCLUSION: Kolb's Experiential Learning Cycle aided team reflection on feedback from PEH, which helped refine and strengthen a physiotherapy research proposal. The project was unfunded. However, a reflective model helped maximize learning and impact including for future PPI and research. The novel application of Kolb's Experiential Learning Cycle provided structure, facilitated reflection and enhanced individual and collective learning and may benefit capturing learning from PPI with other vulnerable populations. PATIENT OR PUBLIC CONTRIBUTION: We highlight how a PPI consultation with people with experience of homelessness helped shape a funding proposal. Additionally, the reflections of the experts by experience team leader are included

Linking Interventions to Functional Behavior Assessment Results

A comprehensive review of the instructional, social, and physical dimensions and consequences of behavior that complete functional behavior assessments. Substantial explanation of each is accompanied with examples of research based interventions linking to each dimension. A new model of functional behavior assessment is described and piloted in a single subject case study design. Also included are the results of the case study

Integrated Virtual Reality for a Motivating and Effectual Language-Learning Experience

The increased globalization of STEM fields and the resulting needed multilingualism provide ample reason to infuse language classrooms with responsive and immersive technologies. Furthermore, technology has proven to be a powerful resource to motivate students, regardless of the field. Early results show that the use of immersive technology positively affects both motivation and retention, and that students desire these types of technology and resources in more of their courses

Three-loop HTL gluon thermodynamics at intermediate coupling

We calculate the thermodynamic functions of pure-glue QCD to three-loop order using the hard-thermal-loop perturbation theory (HTLpt) reorganization of finite temperature quantum field theory. We show that at three-loop order hard-thermal-loop perturbation theory is compatible with lattice results for the pressure, energy density, and entropy down to temperatures $T\simeq3\;T_c$. Our results suggest that HTLpt provides a systematic framework that can used to calculate static and dynamic quantities for temperatures relevant at LHC.Comment: 24 pages, 13 figs. 2nd version: improved discussion and fixing typos. Published in JHE

Three-loop HTL QCD thermodynamics

The hard-thermal-loop perturbation theory (HTLpt) framework is used to calculate the thermodynamic functions of a quark-gluon plasma to three-loop order. This is the highest order accessible by finite temperature perturbation theory applied to a non-Abelian gauge theory before the high-temperature infrared catastrophe. All ultraviolet divergences are eliminated by renormalization of the vacuum, the HTL mass parameters, and the strong coupling constant. After choosing a prescription for the mass parameters, the three-loop results for the pressure and trace anomaly are found to be in very good agreement with recent lattice data down to $T \sim 2-3\,T_c$, which are temperatures accessible by current and forthcoming heavy-ion collision experiments.Comment: 27 pages, 11 figures; corresponds with published version in JHE

Combenefit: an interactive platform for the analysis and visualization of drug combinations.

MOTIVATION: Many drug combinations are routinely assessed to identify synergistic interactions in the attempt to develop novel treatment strategies. Appropriate software is required to analyze the results of these studies. RESULTS: We present Combenefit, new free software tool that enables the visualization, analysis and quantification of drug combination effects in terms of synergy and/or antagonism. Data from combinations assays can be processed using classical Synergy models (Loewe, Bliss, HSA), as single experiments or in batch for High Throughput Screens. This user-friendly tool provides laboratory scientists with an easy and systematic way to analyze their data. The companion package provides bioinformaticians with critical implementations of routines enabling the processing of combination data. AVAILABILITY AND IMPLEMENTATION: Combenefit is provided as a Matlab package but also as standalone software for Windows (http://sourceforge.net/projects/combenefit/). CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.This work has been supported by the Cancer Research UK grant C14303/A17197This is the final version of the article. It first appeared from Oxford University Press via http://dx.doi.org/10.1093/bioinformatics/btw23