786 resultados para Collaborative robots
Resumo:
Chamber music with piano comprises some of the greatest masterpieces in the Western canon. The works range from duo sonatas with various instruments through septets. In regard to duo sonatas, the violin is the instrument most frequently paired with the piano. Of all the chamber works for larger ensembles, the most popular is the quintet. In this dissertation, I will be exploring the similarities and differences between the duo sonatas and quintets of a given composer. I will be surveying Robert Schumann’s Piano Quintet in E-flat Major, Op. 44 along with his Violin and Piano Sonata in A Minor, Op. 105. The next pairing will be Johannes Brahms’ Piano Quintet in F Minor, Op. 34 and his Piano and Violin Sonata in D Minor, Op. 108. Dmitri Shostakovich’s Piano Quintet in G Minor, Op. 57 and his Cello and Piano Sonata in D Minor, Op. 40 will be the last two works examined in this dissertation. This dissertation project consisted of three recitals, presented in the Gildenhorn Recital Hall at the Clarice Smith Performing Arts Center of the University of Maryland. The recitals featured works by Johannes Brahms, Robert Schumann and Dmitri Shostakovich and took place on March 14, 2014, February 13, 2015 and November 22, 2015. All three recitals were recorded on compact discs, which can be accessed at the Digital Repository at the University of Maryland (DRUM) and at the University of Maryland Hornbake Library.
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Sergei Rachmaninoff and Nikolai Medtner occupy a special place in the history of Russian music. Both composers were exceptional pianists and left us some of the greatest works in the piano repertoire. Although these composers shared many similarities, and were often compared, their musical languages and views on composition were very different. Unfortunately, Medtner’s music, which Rachmaninoff admired greatly, has remained neglected for several generations of performers and listeners. In my dissertation I will explore the similarities and contrasts in Rachmaninoff’s and Medtner’s music. Through these performances, I hope to encourage other musicians to discover the imaginative power of Medtner’s music. Of course, no such encouragement is needed for Rachmaninoff’s extremely popular music; however, the technical and musical challenges of performing that repertoire are an invaluable part of every pianist’s education. This dissertation project was presented in three recitals which were performed in Gildenhorn Recital Hall at the Clarice Smith Performing Arts Center of the University of Maryland on May 8, 2014, December 5, 2014 and March 21, 2016. The following pieces comprised the survey of Rachmaninoff music: Vocalise Op. 34, Variations on a Theme of Corelli Op. 42, Piano Concerto No 2 Op. 18, Selected Songs Opp. 4 and 8, and two Moments Musicaux Op. 16 - Nos 3 and 4. The following pieces were included to represent Medtner: Sonata for Violin and Piano Op. 57 in E minor “Epica”, Fairy Tales for solo piano Op. 20 No 1, Op. 26 No 3 and Op. 51 No 1, and Selected Songs Op. 6 and 15. My partners in this project were Lilly Ahn, soprano, Jennifer Lee, violin and Nadezhda Christova, piano. All three recitals can be found in the Digital Repository at the University of Maryland (DRUM).
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Writing instruction in Canadian universities takes a variety of forms. While there are few formal departments for writing studies, many institutions do have a writing centre – a place that offers writing instruction to varying degrees. The writing centre may be housed within a department, a library, or within a student services unit. Its position within a university may indicate the degree to which writing is valued by the administrative body. The goal of our paper is to share insights into the ways that writing professionals perceive, work in, and adapt to current demands for writing instruction in higher education. Using a collaborative ethnographic approach, three scholars at different career stages explore their experiences with writing centre work. Using data consisting of individually written reflections, our analysis revealed four major themes: (a) initial experience with writing centres, (b) community, (c) frustrations and tensions at work, and (d) mentorship. In this paper, we discuss our findings within the framework of positioning theory in order to understand how we position ourselves as scholars, mentors, and educators, and how we are positioned by others within the fields of writing studies and higher education. This study raises awareness about the value of writing centre professionals’ contributions, the place of mentorship within higher education, and the support required for continued writing centre work.
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Background: Understanding transcriptional regulation by genome-wide microarray studies can contribute to unravel complex relationships between genes. Attempts to standardize the annotation of microarray data include the Minimum Information About a Microarray Experiment (MIAME) recommendations, the MAGE-ML format for data interchange, and the use of controlled vocabularies or ontologies. The existing software systems for microarray data analysis implement the mentioned standards only partially and are often hard to use and extend. Integration of genomic annotation data and other sources of external knowledge using open standards is therefore a key requirement for future integrated analysis systems. Results: The EMMA 2 software has been designed to resolve shortcomings with respect to full MAGE-ML and ontology support and makes use of modern data integration techniques. We present a software system that features comprehensive data analysis functions for spotted arrays, and for the most common synthesized oligo arrays such as Agilent, Affymetrix and NimbleGen. The system is based on the full MAGE object model. Analysis functionality is based on R and Bioconductor packages and can make use of a compute cluster for distributed services. Conclusion: Our model-driven approach for automatically implementing a full MAGE object model provides high flexibility and compatibility. Data integration via SOAP-based web-services is advantageous in a distributed client-server environment as the collaborative analysis of microarray data is gaining more and more relevance in international research consortia. The adequacy of the EMMA 2 software design and implementation has been proven by its application in many distributed functional genomics projects. Its scalability makes the current architecture suited for extensions towards future transcriptomics methods based on high-throughput sequencing approaches which have much higher computational requirements than microarrays.
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The work presented herein focused on the automation of coordination-driven self assembly, exploring methods that allow syntheses to be followed more closely while forming new ligands, as part of the fundamental study of the digitization of chemical synthesis and discovery. Whilst the control and understanding of the principle of pre-organization and self-sorting under non-equilibrium conditions remains a key goal, a clear gap has been identified in the absence of approaches that can permit fast screening and real-time observation of the reaction process under different conditions. A firm emphasis was thus placed on the realization of an autonomous chemical robot, which can not only monitor and manipulate coordination chemistry in real-time, but can also allow the exploration of a large chemical parameter space defined by the ligand building blocks and the metal to coordinate. The self-assembly of imine ligands with copper and nickel cations has been studied in a multi-step approach using a self-built flow system capable of automatically controlling the liquid-handling and collecting data in real-time using a benchtop MS and NMR spectrometer. This study led to the identification of a transient Cu(I) species in situ which allows for the formation of dimeric and trimeric carbonato bridged Cu(II) assemblies. Furthermore, new Ni(II) complexes and more remarkably also a new binuclear Cu(I) complex, which usually requires long and laborious inert conditions, could be isolated. The study was then expanded to the autonomous optimization of the ligand synthesis by enabling feedback control on the chemical system via benchtop NMR. The synthesis of new polydentate ligands has emerged as a result of the study aiming to enhance the complexity of the chemical system to accelerate the discovery of new complexes. This type of ligand consists of 1-pyridinyl-4-imino-1,2,3-triazole units, which can coordinate with different metal salts. The studies to test for the CuAAC synthesis via microwave lead to the discovery of four new Cu complexes, one of them being a coordination polymer obtained from a solvent dependent crystallization technique. With the goal of easier integration into an automated system, copper tubing has been exploited as the chemical reactor for the synthesis of this ligand, as it efficiently enhances the rate of the triazole formation and consequently promotes the formation of the full ligand in high yields within two hours. Lastly, the digitization of coordination-driven self-assembly has been realized for the first time using an in-house autonomous chemical robot, herein named the ‘Finder’. The chemical parameter space to explore was defined by the selection of six variables, which consist of the ligand precursors necessary to form complex ligands (aldehydes, alkineamines and azides), of the metal salt solutions and of other reaction parameters – duration, temperature and reagent volumes. The platform was assembled using rounded bottom flasks, flow syringe pumps, copper tubing, as an active reactor, and in-line analytics – a pH meter probe, a UV-vis flow cell and a benchtop MS. The control over the system was then obtained with an algorithm capable of autonomously focusing the experiments on the most reactive region (by avoiding areas of low interest) of the chemical parameter space to explore. This study led to interesting observations, such as metal exchange phenomena, and also to the autonomous discovery of self assembled structures in solution and solid state – such as 1-pyridinyl-4-imino-1,2,3-triazole based Fe complexes and two helicates based on the same ligand coordination motif.
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Nearest neighbour collaborative filtering (NNCF) algorithms are commonly used in multimedia recommender systems to suggest media items based on the ratings of users with similar preferences. However, the prediction accuracy of NNCF algorithms is affected by the reduced number of items – the subset of items co-rated by both users – typically used to determine the similarity between pairs of users. In this paper, we propose a different approach, which substantially enhances the accuracy of the neighbour selection process – a user-based CF (UbCF) with semantic neighbour discovery (SND). Our neighbour discovery methodology, which assesses pairs of users by taking into account all the items rated at least by one of the users instead of just the set of co-rated items, semantically enriches this enlarged set of items using linked data and, finally, applies the Collinearity and Proximity Similarity metric (CPS), which combines the cosine similarity with Chebyschev distance dissimilarity metric. We tested the proposed SND against the Pearson Correlation neighbour discovery algorithm off-line, using the HetRec data set, and the results show a clear improvement in terms of accuracy and execution time for the predicted recommendations.
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Finalmente se realiza el análisis de las muestras elegidas con la finalidad de identificar si los aspectos del método de Barthes se cumplen a cabalidad y qué tipo de discrepancias surgen en cada interpretación, si es que existen se comprobarán por medio de la comparación entre ellas lo cual permitirá obtener resultados para verificar la vigencia de los métodos a través del tiempo, visualizando y sustentando el tema de este trabajo, además de contribuir en futuras investigaciones de la temática
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Students often receive instruction from specialists, professionals other than their general educators, such as special educators, reading specialists, and ESOL (English Speakers of Other Languages) teachers. The purpose of this study was to examine how general educators and specialists develop collaborative relationships over time within the context of receiving professional development. While collaboration is considered essential to increasing student achievement, improving teachers’ practice, and creating comprehensive school reform, collaborative partnerships take time to develop and require multiple sources of support. Additionally, both practitioners and researchers often conflate collaboration with structural reforms such as co-teaching. This study used a retrospective single case study with a grounded theory approach to analysis. Data were collected through semi-structured interviews with thirteen teachers and an administrator after three workshops were conducted throughout the school year. The theory, Cultivating Interprofessional Collaboration, describes how interprofessional relationships grow as teachers engage in a cycle of learning, constructing partnership, and reflecting. As relationships deepen some partners experience a seamless dimension to their work. A variety of intrapersonal, interpersonal, and external factors work in concert to promote this growth, which is strengthened through professional development. In this theory, professional development provides a common ground for strengthening relationships, knowledge about the collaborative process, and a reflective space to create new collaborative practices. Effective collaborative practice can lead to aligned instruction and teachers’ own professional growth. This study has implications for school interventions, professional development, and future research on collaboration in schools.
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Part 3: Product-Service Systems
Resumo:
A combined Short-Term Learning (STL) and Long-Term Learning (LTL) approach to solving mobile robot navigation problems is presented and tested in both real and simulated environments. The LTL consists of rapid simulations that use a Genetic Algorithm to derive diverse sets of behaviours. These sets are then transferred to an idiotypic Artificial Immune System (AIS), which forms the STL phase, and the system is said to be seeded. The combined LTL-STL approach is compared with using STL only, and with using a handdesigned controller. In addition, the STL phase is tested when the idiotypic mechanism is turned off. The results provide substantial evidence that the best option is the seeded idiotypic system, i.e. the architecture that merges LTL with an idiotypic AIS for the STL. They also show that structurally different environments can be used for the two phases without compromising transferability.