Christopher Newton Collection, 1955-1998 (non-inclusive)

Christopher Newton was born in England in June of 1936. He received his education at Sir Roger Manwood’s School in Kent, the University of Leeds, Purdue University in Indiana and the University of Illinois where he received his M.A. He founded Theatre Calgary in 1968 and was the artistic director there until 1971. He was appointed as the artistic director of the Vancouver Playhouse where he established the Playhouse Acting School with Powys Thomas. Mr. Newton has also performed and directed at Stratford Festivals and on Broadway. He became the artistic director at Shaw Festival in Niagara-on-the-Lake in 1979 and remained there for 23 seasons until 2002. Mr. Newton has many television, radio and film credits to his name as well as having written many stage plays. Mr. Newton has received honorary degrees from Brock University (1986), the University of Guelph (1989), Wilfrid Laurier University (1997) and Buffalo State University. He was made an Honorary Fellow at the Royal Conservatory of Music of Toronto (1993) and of Ryerson Polytechnic University (1995). He has won the Governor General’s performing arts award (2000), the Molson Prize and the Thomas DeGaetani Award from the United States Institute for Theatre Technology. In 1996 he was made an Honorary Life Member of the Association for Canadian Theatre Research and in the same year he received the M. Joan Chalmers Award for Artistic Direction. In 1995, he was made a Member of the Order of Canada and he won a Governor General's Performing Arts Award in 2000. Christopher Newton is currently the Artistic Director Emeritus at the Shaw Festival. Sources: http://www.shawfest.com/the-ensemble/christopher-newton/ http://www.thecanadianencyclopedia.com/articles/christopher-newton

Colin Duquemin fonds, 1935, 1968-2001, n.d.

Colin Duquemin was born in 1932 in Guernsey, British Channel Islands, and came to Canada as a young adult. He attended McMaster University (B.A.), the University of Toronto (B.Ed.), the State University of New York at Buffalo (M.A.) and the University of London, London, England (M.Sc.). He began his career as a tea taster and tea buyer in Colombo, Ceylon (Sri Lanka), but later became a teacher. He spent most of his teaching career as a manager of the St. Johns Outdoor Studies Centre, north of Fonthill, Ontario, developing environmentally related programmes for elementary and secondary school students. He was also active in many local organizations, serving as Associate Director of the St. Catharines Grape and Wine Festival Board, Chairman of the St. Catharines Historical Museum Board, President of the Niagara Military Institute and President of the Canadian Canal Society. In addition to the numerous curriculum materials he authored, Colin wrote the Driver’s Guide Series, highlighting the many points of interest in the Niagara region, including the Welland Canal, battlefields of the War of 1812, and the Niagara Parkway. He also wrote A Guide to the Grand River Canal (1980) with Daniel Glenney, The Fur Trade in Rupert’s Land: Opening up the Canadian Northwest (1992), Stick to the Guns! A short history of the 10th field battery, Royal Regiment of Canadian Artillery (1996), Niagara Rebels: the Niagara Frontier Incidents in the Upper Canada Rebellion, 1837-1838 ( 2001), and edited and contributed to A Lodge of Friendship: the History of Niagara Lodge, No. 2, A.F. & A.M, Niagara-on-the-Lake, Ontario, Canada, 1792-1992 (1991). He died in December 2012.

SMOB

Activities of SOMB got off to an impactful start with ‘Shramdhan’ programme on world Environment Day. SOMB members actively participated in a campus cleaning drive at Lakeside Campus. Members also organised a tree planting programme on this day and planted few fruit trees at the marine sciences campus. We also had couple of high profile faculty members delivering lectures to SOMB community. This included Dr. Pattanathu Rahman, Sr. Lecturer and Programme Leader of Chemical and Bioprocess Engineering Group at Teeside University, UK; Dr. Dr.Velerie Vasilakov, Vladivostok State University, Russia; Dr. Sunil Kumar George, Research Scientist, Wake Forest Institute for Regenerative Medicine, Winston Salem, NC, USA and Prof. Kalliathe Padmanabhan, Department of Biochemistry, Michigan State University, USA.

Model Diagnostics in the presence of measurement error

The problem of using information available from one variable X to make inferenceabout another Y is classical in many physical and social sciences. In statistics this isoften done via regression analysis where mean response is used to model the data. Onestipulates the model Y = µ(X) +ɛ. Here µ(X) is the mean response at the predictor variable value X = x, and ɛ = Y - µ(X) is the error. In classical regression analysis, both (X; Y ) are observable and one then proceeds to make inference about the mean response function µ(X). In practice there are numerous examples where X is not available, but a variable Z is observed which provides an estimate of X. As an example, consider the herbicidestudy of Rudemo, et al. [3] in which a nominal measured amount Z of herbicide was applied to a plant but the actual amount absorbed by the plant X is unobservable. As another example, from Wang [5], an epidemiologist studies the severity of a lung disease, Y , among the residents in a city in relation to the amount of certain air pollutants. The amount of the air pollutants Z can be measured at certain observation stations in the city, but the actual exposure of the residents to the pollutants, X, is unobservable and may vary randomly from the Z-values. In both cases X = Z+error: This is the so called Berkson measurement error model.In more classical measurement error model one observes an unbiased estimator W of X and stipulates the relation W = X + error: An example of this model occurs when assessing effect of nutrition X on a disease. Measuring nutrition intake precisely within 24 hours is almost impossible. There are many similar examples in agricultural or medical studies, see e.g., Carroll, Ruppert and Stefanski [1] and Fuller [2], , among others. In this talk we shall address the question of fitting a parametric model to the re-gression function µ(X) in the Berkson measurement error model: Y = µ(X) + ɛ; X = Z + η; where η and ɛ are random errors with E(ɛ) = 0, X and η are d-dimensional, and Z is the observable d-dimensional r.v.

Study on period search methods of variable stars: Application to ASAS and CRTS databases

Study on variable stars is an important topic of modern astrophysics. After the invention of powerful telescopes and high resolving powered CCD’s, the variable star data is accumulating in the order of peta-bytes. The huge amount of data need lot of automated methods as well as human experts. This thesis is devoted to the data analysis on variable star’s astronomical time series data and hence belong to the inter-disciplinary topic, Astrostatistics. For an observer on earth, stars that have a change in apparent brightness over time are called variable stars. The variation in brightness may be regular (periodic), quasi periodic (semi-periodic) or irregular manner (aperiodic) and are caused by various reasons. In some cases, the variation is due to some internal thermo-nuclear processes, which are generally known as intrinsic vari- ables and in some other cases, it is due to some external processes, like eclipse or rotation, which are known as extrinsic variables. Intrinsic variables can be further grouped into pulsating variables, eruptive variables and flare stars. Extrinsic variables are grouped into eclipsing binary stars and chromospheri- cal stars. Pulsating variables can again classified into Cepheid, RR Lyrae, RV Tauri, Delta Scuti, Mira etc. The eruptive or cataclysmic variables are novae, supernovae, etc., which rarely occurs and are not periodic phenomena. Most of the other variations are periodic in nature. Variable stars can be observed through many ways such as photometry, spectrophotometry and spectroscopy. The sequence of photometric observa- xiv tions on variable stars produces time series data, which contains time, magni- tude and error. The plot between variable star’s apparent magnitude and time are known as light curve. If the time series data is folded on a period, the plot between apparent magnitude and phase is known as phased light curve. The unique shape of phased light curve is a characteristic of each type of variable star. One way to identify the type of variable star and to classify them is by visually looking at the phased light curve by an expert. For last several years, automated algorithms are used to classify a group of variable stars, with the help of computers. Research on variable stars can be divided into different stages like observa- tion, data reduction, data analysis, modeling and classification. The modeling on variable stars helps to determine the short-term and long-term behaviour and to construct theoretical models (for eg:- Wilson-Devinney model for eclips- ing binaries) and to derive stellar properties like mass, radius, luminosity, tem- perature, internal and external structure, chemical composition and evolution. The classification requires the determination of the basic parameters like pe- riod, amplitude and phase and also some other derived parameters. Out of these, period is the most important parameter since the wrong periods can lead to sparse light curves and misleading information. Time series analysis is a method of applying mathematical and statistical tests to data, to quantify the variation, understand the nature of time-varying phenomena, to gain physical understanding of the system and to predict future behavior of the system. Astronomical time series usually suffer from unevenly spaced time instants, varying error conditions and possibility of big gaps. This is due to daily varying daylight and the weather conditions for ground based observations and observations from space may suffer from the impact of cosmic ray particles. Many large scale astronomical surveys such as MACHO, OGLE, EROS, xv ROTSE, PLANET, Hipparcos, MISAO, NSVS, ASAS, Pan-STARRS, Ke- pler,ESA, Gaia, LSST, CRTS provide variable star’s time series data, even though their primary intention is not variable star observation. Center for Astrostatistics, Pennsylvania State University is established to help the astro- nomical community with the aid of statistical tools for harvesting and analysing archival data. Most of these surveys releases the data to the public for further analysis. There exist many period search algorithms through astronomical time se- ries analysis, which can be classified into parametric (assume some underlying distribution for data) and non-parametric (do not assume any statistical model like Gaussian etc.,) methods. Many of the parametric methods are based on variations of discrete Fourier transforms like Generalised Lomb-Scargle peri- odogram (GLSP) by Zechmeister(2009), Significant Spectrum (SigSpec) by Reegen(2007) etc. Non-parametric methods include Phase Dispersion Minimi- sation (PDM) by Stellingwerf(1978) and Cubic spline method by Akerlof(1994) etc. Even though most of the methods can be brought under automation, any of the method stated above could not fully recover the true periods. The wrong detection of period can be due to several reasons such as power leakage to other frequencies which is due to finite total interval, finite sampling interval and finite amount of data. Another problem is aliasing, which is due to the influence of regular sampling. Also spurious periods appear due to long gaps and power flow to harmonic frequencies is an inherent problem of Fourier methods. Hence obtaining the exact period of variable star from it’s time series data is still a difficult problem, in case of huge databases, when subjected to automation. As Matthew Templeton, AAVSO, states “Variable star data analysis is not always straightforward; large-scale, automated analysis design is non-trivial”. Derekas et al. 2007, Deb et.al. 2010 states “The processing of xvi huge amount of data in these databases is quite challenging, even when looking at seemingly small issues such as period determination and classification”. It will be beneficial for the variable star astronomical community, if basic parameters, such as period, amplitude and phase are obtained more accurately, when huge time series databases are subjected to automation. In the present thesis work, the theories of four popular period search methods are studied, the strength and weakness of these methods are evaluated by applying it on two survey databases and finally a modified form of cubic spline method is intro- duced to confirm the exact period of variable star. For the classification of new variable stars discovered and entering them in the “General Catalogue of Vari- able Stars” or other databases like “Variable Star Index“, the characteristics of the variability has to be quantified in term of variable star parameters.

Piezoelectric Ultrasonic Micromotors

This report describes development of micro-fabricated piezoelectric ultrasonic motors and bulk-ceramic piezoelectric ultrasonic motors. Ultrasonic motors offer the advantage of low speed, high torque operation without the need for gears. They can be made compact and lightweight and provide a holding torque in the absence of applied power, due to the traveling wave frictional coupling mechanism between the rotor and the stator. This report covers modeling, simulation, fabrication and testing of ultrasonic motors. Design of experiments methods were also utilized to find optimal motor parameters. A suite of 8 mm diameter x 3 mm tall motors were machined for these studies and maximum stall torques as large as 10^(- 3) Nm, maximum no-load speeds of 1710 rpm and peak power outputs of 27 mW were realized. Aditionally, this report describes the implementation of a microfabricated ultrasonic motor using thin-film lead zirconate titanate. In a joint project with the Pennsylvania State University Materials Research Laboratory and MIT Lincoln Laboratory, 2 mm and 5 mm diameter stator structures were fabricated on 1 micron thick silicon nitride membranes. Small glass lenses placed down on top spun at 100-300 rpm with 4 V excitation at 90 kHz. The large power densities and stall torques of these piezoelectric ultrasonic motors offer tremendous promis for integrated machines: complete intelligent, electro-mechanical autonomous systems mass-produced in a single fabrication process.

Lean Transition of Emerging Industrial Capability

This volume of the final report documents the technical work performed from December 1998 through December 2002 under Cooperative Agreement F33615-97-2-5153 executed between the U.S. Air Force, Air Force Research Laboratory, Materials and Manufacturing Directorate, Manufacturing Technology Division (AFRL/MLM) and the McDonnell Douglas Corporation, a wholly-owned subsidiary of The Boeing Company. The work was accomplished by The Boeing Company, Phantom Works, Huntington Beach, St. Louis, and Seattle; Ford Motor Company; Integral Inc.; Sloan School of Management in the Massachusetts Institute of Technology; Pratt & Whitney; and Central State University in Xenia, Ohio and in association with Raytheon Corporation. The LeanTEC program manager for AFRL is John Crabill of AFRL / MLMP and The Boeing Company program manager is Ed Shroyer of Boeing Phantom Works in Huntington Beach, CA. Financial performance under this contract is documented in the Financial Volume of the final report.

A Vision of Students Today (2007)

Video produced by Martin Wesch with his students in their Digital Ethnography Class at Kansas State University. Looks at way in which students experience Higher Education. Further information can be found at http://mediatedcultures.net/ksudigg/ You may particularly want to look at a response "A Vision of Professors Today (by Sandra)" http://mediatedcultures.net/ksudigg/?p=125

Academic integrity guidelines from Dialog Plus

The Academic Integrity Guidelines (AIG), initally designed at Penn State University, is a small nugget from the JISC Project Dialog Plus which tests students' understanding of good academic integrity. The nugget presents students with an overview of their own institution's integrity guidelines before moving onto completing a set of multiple choice questions. This particular nugget has proved so popular that it has been exported from PSU and embedded into courses at both Leeds and Southampton.

Evaluación de la condición sanitaria del departamento del Tolima con respecto a Peste Porcina Clásica

Introducción: La Peste Porcina Clásica es una enfermedad de declaración obligatoria de la OIE que limita el comercio internacional. El Tolima tiene restringida la comercialización de animales con el 48% del país por no tener el mismo estatus de Zona Libre; la inclusión del departamento dentro de la zona en proceso de declaración mejoraría la condición sanitaria y permitiría la admisibilidad comercial a los productores. Metodología: Es un estudio descriptivo con dos componentes; el primero incluye la caracterización y evaluación cualitativa de las condiciones sanitarias relacionadas con PPC y el segundo la caracterización virológica mediante un muestreo aleatorio simple para determinar circulación viral. Resultados: se encontró que la atención de las notificaciones se realiza en ≤ 1 día, mientras que entre la atención y resultados existen demoras en el 84% de los casos; las coberturas vacunales son ≥90% que evidencian inmunidad poblacional prolongada y sostenida; en el departamento no se presentan focos desde hace mas de 8 años, no han tenido importaciones de animales con riesgo sanitario, no cuenta barreras geográficas en los limites con la Zona Control que permitan aislamiento y en el muestreo todos los resultados fueron negativos a PPC por RT PCR, con un VPN de 0.99. Discusión: El Tolima cumple con las condiciones sanitarias para incluirse en la próxima zona en proceso de declaración, sin embargo es necesario mejorar las rutas cítricas para la atención de sospechas de PPC e instaurar puestos de control para aislar el departamento y controlar las movilizaciones de porcinos.

La disputa sobre la epistemología de las Relaciones Internacionales a la luz de las prácticas de la investigación disciplinaria en Colombia (2001-2011)

El trabajo presenta una imagen de la disciplina de las Relaciones Internacionales en Colombia a través del estudio de la práctica de la escritura científica en cuatro centros de investigación.

Análisis crítico de la sociología de las emociones y de la acción estratégica para la comprensión de la campaña de desaprobación a Slobodan Milosevíc realizada por OTPOR, en Serbia, a través de la acción política no violenta en el año 2000

En este trabajo el lector va a encontrar una disertación entre la sociología de las emociones y la acción estratégica de Roger Petersen, con el fin de entender movimientos en masa que actúan bajo la acción política no violenta, como fue el caso de OTPOR en Serbia en el 2000

Los estados modificados de conciencia y su uso en la psicología contemporánea

La conciencia, sus diversos estados y las propiedades específicas de estado han sido materia de indagación en prácticamente todas las culturas. Como producto de ello, se han generado multiplicidad de perspectivas sobre el valor de estos estados de conciencia y sobre los modos adecuados de producirlos y utilizarlos. A éstos últimos se les conoce como prácticas de transformación o tecnologías de la conciencia. En el presente trabajo, luego de presentar las posturas contemporáneas básicas utilizadas para el estudio de la conciencia, se revisan las concepciones que sobre ella surgen desde la psicología transpersonal y en el budismo mahayana. Le sigue la presentación del concepto de estados y estados alterados de conciencia en la psicoterapia. Tras discutir la noción de prácticas de transformación de la conciencia se concluye con una presentación más detallada de la meditación y la oración como ejemplos de tecnologías de conciencia utilizadas como medio de sanación y de crecimiento personal.

La cocina de los venenos. Aspectos de la criminalidad en el Nuevo Reino de Granada, siglos XVII-XVIII

Durante los siglos XVII y XVIII se presentaron varias querellas ante el Tribunal de Justicia Criminal del Nuevo Reino de Granada, en las que se denunciaba que había personas que ejercían los oficios médicos sin tener títulos que los acreditaran como facultativos en las artes curativas. Por ese entonces, se creía que quienes utilizaban yerbas y conjuros como métodos terapéuticos, por lo general mujeres, debían ser juzgadas como yerbateras-envenenadoras, porque no pretendían curar sino matar a quien consumiera sus preparados. El texto establece que los procesos criminales por envenenamiento constituyen un prisma en el que convergen diferentes problemáticas del periodo colonial neogranadino, relacionadas con la salud, los oficios médicos, las enfermedades, las creencias mágico-religiosas, el ideal de mujer en la época, la delincuencia, y las dinámicas de las instituciones españolas, entre otras. De esta manera, se estudió cómo fue la relación entre los aspectos jurídicos, las leyes criminales (dictadas por la Corona) y las conductas “desviadas” (relacionadas con el crimen por envenenamiento) de los habitantes del Nuevo Reino de Granada, entre los siglos XVII y XVIII. Para ello se revistaron desde diferentes perspectivas, varios temas del mundo colonial neogranadino, relacionados con los rumores, la comidilla, los chismes y la importancia de la comunicación hablada en el virreinato; el problema de la honra, como una de las virtudes más sobresalientes de la época y las creencias de la cultura popular con relación al envenenamiento y los diferentes métodos curativos.

Capacidades dinámicas; la fuente de sostenibilidad ante el cambio

Las capacidades dinámicas constituyen un aporte importante a la estrategia empresarial. De acuerdo con esta premisa se desarrolla el siguiente documento, al reconocer que la generación de competencias se consolida como la base teórica para el logro de sostenibilidad ante eventos de cambio que puedan afectar la estabilidad y la toma de decisiones de las organizaciones. Dada la falta de aplicación empírica del concepto se ha elaborado este paper, en el que se demuestran e identifican las herramientas que la aplicación empiríca puede dar a las organizaciones y los instrumentos que proveen para la generación de valor. A través del caso de estudio ASOS.COM se ejemplifica la necesidad de detección y aprovechamiento de oportunidades y amenazas, así como la reconfiguración, renovación y generación de competencias de segundo orden para enfrentar el cambio. De esta manera por medio de las habilidades creadas al interior de las empresas con enfoque en el aprendizaje e innovación se logra la comprensión del negocio y el afianzamiento de mejores escenarios futuros.