Application of the Kihara core model equation to gas-solid interactions

M.S.Robert A. Pierott

Leadership attributes addressed in industrial technology/technology education doctoral programs as perceived by faculty and recent graduates

The purpose of this study was to examine the perceptions of faculty and recent graduates of industrial technology/technology education doctoral programs to (a) determine the importance of specific leadership attributes to professionals in the field, (b) determine the efforts of doctoral programs to address leadership attributes and their development in students, and (c) identify the activities or experiences within the doctoral programs that address specific leadership attributes in students;A two-part survey instrument was developed by the researcher to assess the perceptions of faculty (two from each department) and recent graduates (1988-1993) of industrial technology/technology education doctoral programs. Seventeen programs were represented by responses from 22 faculty and 81 graduates. The first part of the survey requested responses to a given list of doctoral program components as to whether they were required, encouraged, available, or not available. The second part of the survey listed 37 leadership attributes and requested responses to four questions about each attribute: (a) how important is it to leaders in the field? (b) what level of attention should it receive in doctoral programs? (c) what level of attention does/did it receive in doctoral programs? and (d) what activities/experiences in the doctoral programs address specific attributes? All 37 attributes received mean ratings of considerable to great importance. The mean ratings for the level of attention the attributes should receive fell between moderate and considerable. Only some to moderate attention was currently being given to attributes in doctoral programs. The responses of the two groups were reported using descriptive statistics and compared using multivariate analysis of variance procedures. No significant difference was found when comparing the two groups on their ratings of attribute importance or the level of attention attributes do receive. However, the two groups did differ significantly in their ratings of the level of attention the attributes should receive. Further one-way analysis of variance showed that the graduates rated 26 of the 37 attributes significantly higher than the faculty;The responses which identified activities and experiences within the doctoral programs that addressed specific attributes were reported. Respondents also categorized the experiences as either theoretical, applied, or both. Responses indicated that most attributes were being addressed in both theoretical and applied manners. Role models and mentors appear to have great potential to influence the leadership development of doctoral students

Electrical interaction between atmospheric volcanic ash and aircraft in flight:mechanisms and application for hazard detection

The charging of aircraft surfaces in flight by ice and other particulates has been studied since the 1940’s, and volcanic ash suspended within dispersed plumes has been a hazard to aviation since the advent of commercial jet airliners in the 1960s. This study examines the interaction of volcanic ash particles with metallic surfaces likely to be found on an aircraft, and its ability to charge those surfaces by impact. We do this by directing a high-pressure jet of mixed air and volcanic ash, sieved to <63 μm dia., at fixed 50 mm x 50 mm target. The charging is quantified as the charge generated on the target surface per unit mass of particulate impacted. By testing volcanic ash alongside a control material (Ballotini™) which is not expected to fracture the study provides evidence that fracto-emission is the dominant charging process. It is demonstrated that volcanic ash impacting a metallic target at mass delivery rates of approximately 5 mg s-1 can generate charge to mass ratios of 0.5 to 0.8 C kg-1 at impact speeds in the range of 60 to 70 ms-1. It is also found that the charging behaviour is non-linear with respect to velocity of impact and that charging behaviour varies dependant upon the materials of the particle and the impacting surface. The study includes the investigation of two types of volcanic ash, sand and some qualitative work to investigate the impact of ice on the targets. From this we conclude that the measurement of particulate mass concentration is possible, and discrimination of particulate type is possible by exposing multiple target materials in parallel. We therefore hypothesise that the observed behaviours could form the basis for an on-board volcanic ash detection sensor system for pilot warning and guidance

Laser interactions with high brightness electron beams.

The International Linear Collider will be a high-precision machine to study the next energy frontier in particle physics. At the TeV energy scale, the ILC is expected to deliver luminosities in excess of 1034 cni" 2s_1. In order to achieve this, beam conditions must be monitored throughout the machine. Measurment of the beam emittance is essential to ensuring that the high luminosity can be provided at the interaction point. At the de sign beam sizes in the ILC beam delivery system, the Laserwire provides a non-invasive real-time method of measuring the emittance by the method of inverse Compton scattering. The prototype Laserwire at the PETRA stor age ring has produced consistent results with measured beam sizes of below 100 /nn. The Energy Recovery Linac Prototype (ERLP) is a technology testbed for the 4th Generation Light Source (4GLS). Inverse Compton scattering can be used in the ERLP as a proof of concept for a proposed 4GLS upgrade, and to produce soft X-rays for condensed matter experiments. The design constraints for the main running mode of the ERLP differ from those required for inverse Compton scattering. Suitable modifications to the optical lattice have been developed under the constraint that no new magnetic structures may be introduced, and the resulting photon distributions are described

JMSA : Java Mass Spectrometry Analyzer: ferramenta para gerenciamento e análise de banco de espectros de massa para identificação de microrganismos

Orientador : Prof. Dr. Leonardo Magalhães CruzCoorientador : Prof. Dr. Luciano Fernandes HuergoDissertação (mestrado) - Universidade Federal do Paraná, Setor de Educação Profissional e Tecnológica, Programa de Pós-Graduação em Bioinformática. Defesa: Curitiba, 10/03/2017Inclui referências : f. 50-52Resumo: A utilização da espectrometria de massa MALDI-TOF permite a identificação de microrganismos através da geração de espectros de massa, representando um perfil característico de sinais obtidos a partir de peptídeos ionizados de células inteiras ou extratos celulares. A comparação de espectros de massa obtidos de microrganismos desconhecidos contra um banco de dados de espectros de massa para microrganismos conhecidos, permite sua identificação. Essa utilização permite o usufruto de algumas vantagens frente a algumas limitações da técnica padrão, tal como agilidade na análise e redução de custos. Entretanto, faltam alternativas gratuitas aos softwares proprietários capazes de suprir características chaves na análise dos dados extraídos por tal técnica. Para auxiliar nessa análise nós criamos o JMSA, que é uma ferramenta de análise dos picos de um espectro de massa. O JMSA é capaz de facilitar a visualização comparativa, incluir dados descritivos de amostras. O JMSA também pode executar uma comparação de similaridade entre espectros selecionados. Desta forma o programa foi capaz de identificar um espectro, dado como desconhecido, em nível de espécie. O programa é capaz de ser executado consumindo poucos recursos nos principais sistemas operacionais que suportem Java, tal como MacOSX, Linux e Windows. Palavras-chave: Espectrometria de massa, Identificação de microrganismos, Análise de espectros de massa, MALDI-TOF, Desenvolvimento de software, Java.Abstract: The use of MALDI-TOF mass spectrometry allows microorganism identification by generating mass spectra representing a characteristic profile of signals from ionized whole cell peptides or cell extracts. Comparing of mass spectra obtained from unknown microorganisms with a database of mass spectra for known microorganisms allows their identification. This usage allows the exploitation of some advantages over some limitations of the standard technique, such as agility in the analysis and reduction of costs. However, there is a lack of free alternatives to proprietary software capable of supplying key characteristics in its extracted data analysis. To assist in this analysis we have created the JMSA, which is a tool for analyzing the peaks of a mass spectrum. The JMSA is able to facilitate comparative visualization as well as include descriptive sample data. JMSA can also perform a similarity comparison of selected spectra. In this way the program was able to identify a spectrum, given as unknown, at species level. The program is able to run by consuming few resources on major operating systems that support Java, such as MacOSX, Linux and Windows. Key-words: Mass spectrometry, Identification of microorganisms, Mass spectrum analysis software, MALDI-TOF, Software development, Java

Assessing the risk of chemotherapy toxicity and hospital admission due to toxicity: A study of acute chemotherapy toxicity and related hospital admission in a large UK teaching hospital, based on proactive telephone assessment patients

Introduction: Acute chemotherapy toxicity is common and can have negative effects for the patient and health economy and hospitalisation can be necessitated. Aims: To identify the incidence of toxicity and admission, and predictors of toxicity occurrence, severity, hospitalisation and length of stay. Method: Data was obtained from a proactive telephone assessment of acute toxicity 24 hours after administration of a first cycle of chemotherapy to patients in a large UK NHS teaching hospital. Results: 1539 patients were studied and the overall incidence of toxicity was 35.6% (530 patients). Disease site and number of chemotherapy agents given were shown to predict toxicity, with breast and upper gastrointestinal cancers having a higher likelihood of toxicity. Disease was predictive of toxicity grade, with urology, gynaecology and lung cancer patients experiencing higher grades of toxicity than other tumour sites. The rate of hospital admission due to toxicity was 13.1% (203 patients) and median length of stay 3 days (1-28). The risk of admission had some risk factors in common with toxicity. Disease and the number of drugs in the regimen affected the risk of admission, with gynaecology, head and neck and lung cancer patients and patients who received 3 drugs having a higher likelihood of admission. Predictors in the subgroups of breast, colorectal and lung cancer patients did not differ greatly from the whole population and the number of drugs was shown to be a predictor of nausea, vomiting and fatigue when explored as secondary outcomes. Conclusion: The research partly addressed the main aim and highlighted areas where further research is required. Keyword

The Physical Mechanisms of Microbiological Cellular Transport, Storage, and Metabolism of Aromatic Hydrocarbon-Degrading Soil Microbiota

The Monod bioreaction equation, though justified from extensive practical use, has been found to have limited mechanistic basis (Enouy, Walton, et al., 2021). To attempt to gain a biological mechanistic representation of the equation, Enouy, Walton, et al. (2021) created a three-stage serial process by deriving Monod as a special case of aquifer phase diffusive transport rate of a substrate onto the surface of microbe, uptake rate across the microbial membrane, and the subsequent interior biodegradation rate. The derivation was parameterised with single-substrate depletion of benzene, phenol, and toluene, and biomass (Pseudomonas putida F1) growth data from Reardon et al. (2000). Though this derivation of Monod can fit the data adequately, it is simplistic, and sometimes deviates from the data. It is proposed that a detailed understanding of the biological processes involved in the biodegradation of aromatic hydrocarbons is necessary to begin to provide a meaningful mechanistic basis to the Monod coefficients, ! and μ"#$, and to support and embellish this derivation for the purpose of improving the fit of the data, and of future experimental data sets. To this purpose, a literature review of the four major steps in the biological degradation of aromatic hydrocarbons was undertaken. The processes studied are as follows: a) cellular transport; b) energy storage; c) metabolism of aromatic hydrocarbons (both aerobically and anaerobically); and d) cellular growth. The contributions of these processes are discussed alongside the fits of the Reardon et al. (2000) data to propose embellishments to the Monod derivation for improving the data fit, and future biological investigations for improving mechanistic understanding and contributing to biological systematic modelling

Update on the Status of BDSIM

International audienceRecent updates to the status of the BDSIM particle tracking code are presented. In particular, we describe efforts to combine the secondary particle generation of BDSIM with the wakefield calculations of Placet in order to quantify backgrounds from col- limating elements in the beam delivery system of the International Linear Collider. Further recent updates to BDSIM are also introduced