129,243 research outputs found
Te Rau Puawai 2002-2004: An evaluation
No full textEstablished in 1999 as a joint workforce initiative between the former Health Funding Authority and Massey University, Te Rau Puawai aimed to support 100 Maori students to graduate with mental health qualifications within a five year period. The goal of Te Rau Puawai is to contribute to the building of capacity for Maori in the mental health workforce. The programme exceeded its performance expectations in the first two years (1999-2001) with 56 bursars completing their qualifications. Bursars achieved an 80% pass rate compared with 65% for all students at Massey University as a whole. In 2004, this pass rate has continued, a significant achievement in light of increasing numbers of bursars being accepted and many without previously studying at the tertiary level.
In 2001 the Maori & Psychology Research Unit (MPRU) at the University of Waikato undertook an evaluation of Te Rau Puawai reporting on the programme's success and identifying any barriers the programme needed to address. The 2002 evaluation report outlines critical success factors and recommendations for improvement. In 2003 Te Rau Puawai negotiated further funding from the Mental Health Directorate (MeHD) of the Ministry of Health under the Mental Health Workforce Development Strategy (2002). Workforce development is critical in building capacity and capability in the mental health workforce to increase appropriately skilled workers required to meet the mental health needs of Maori communities. In 2004 the Ministry of Health requested a follow-up evaluation to provide a descriptive record of programme activities and progress from April 2002 to December 2004. This report provides an overview of Te Rau Puawai activities between 2002 and 2004; the progress and contributions made by bursars to the mental health workforce; and a reassessment of the programme's critical success factors
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Manipulation of entanglement sudden death in an all-optical setup
No full textThe unavoidable and irreversible interaction between an entangled quantum system and its environment causes decoherence of the individual qubits as well as degradation of the entanglement between them. Entanglement sudden death (ESD) is the phenomenon wherein disentanglement happens in finite time even when individual qubits decohere only asymptotically in time due to noise. Prolonging the entanglement is essential for the practical realization of entanglement-based quantum information and computation protocols. For this purpose, the local NOT operation in the computational basis on one or both qubits has been proposed. Here, we formulate an all-optical experimental setup involving such NOT operations that can hasten, delay, or completely avert ESD, all depending on when it is applied during the process of decoherence. Analytical expressions for these are derived in terms of parameters of the initial state\u27s density matrix, whether for pure or mixed entangled states. After a discussion of the schematics of the experiment, the problem is theoretically analyzed, and simulation results of such manipulations of ESD are presented
The Third Year of the German Language Program in the Elementary Schools of Robbinsdale, Minnesota
No full textA Paper Presented to the Faculty of the Graduate School, University of Minnesota, Duluth, A Requirement for the Degree Master of Arts (Plan B), by Wayne K. Rau, June 1965.Rau, Wayne K. (1965). The Third Year of the German Language Program in the Elementary Schools of Robbinsdale, Minnesota. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/229757
Phân lập một số hợp chất từ phân đoạn ethyl acetat của cây Rau Đắng Đất (Glinus Oppositifolius (L.) Dc. Molluginaceae) : Khóa luận tốt nghiệp Dược sĩ Đại học, Chuyên ngành Sản xuất và phát triển thuốc
No full text86 tr.Đề tài nghiên cứu phân lập một số hợp chất từ phân đoạn Ethyl acetat của cây Rau đắng đất (Glinus
oppositifloius (L.) DC. Molluginaceae), tươi thu hái tại Cần Thơ làm sạch và phơi khô trong bóng râm. Dựa vào dữ liệu khối phổ, phổ cộng hưởng từ hạt nhân và so sánh với các tài liệu tham khảo xác định được G-8 là 3-O-B-D-xylopyranosyl-spergulagenin A, G-9 là spergulin A và G-10 là vitexin
Pragmatic Case Studies as a Source of Unity in Applied Psychology
No full textTo unify or not to unify applied psychology: that is the question. In this article we review pendulum swings in the historical efforts to answer this question—from a comprehensive, positivist, “top-down,” deductive yes between the 1930s and the early 60s, to a postmodern no since then. A rationale and proposal for a limited, “bottom-up,” inductive yes in applied psychology is then presented, employing a case-based paradigm that integrates both positivist and postmodern themes and components. This paradigm is labeled “pragmatic psychology” and, its specific use of case studies, the “Pragmatic Case Study Method” (“PCS Method”). We call for the creation of peer-reviewed journal-databases of pragmatic case studies as a foundational source of unifying applied knowledge in our discipline. As one example, the potential of the PCS Method for unifying different angles of theoretical regard is illustrated in an area of applied psychology, psychotherapy, via the case of Mrs. B. The article then turns to the broader historical and epistemological arguments for the unifying nature of the PCS Method in both applied and basic psychology.Peer reviewe
Defect tolerant device geometries for lead-halide perovskite solar cells
No full textMotivation, Goal and Task of the Dissertation: Traditional photovoltaic device optimization efforts rely on reducing defect density by passivation of surfaces as well as improved material processing or usage of defect tolerant materials. However, recombination activity of a defect is not only a function of defect kinetics but also depends on the electrostatics and the design of the layer stack of a photovoltaic device. In this thesis we aim to propose, develop and prove an alternative approach to solar cell device optimization, by combining our knowledge of defects in a material with the impact of device geometry on recombination via those defects. However, to develop such guiding principles, we must first understand the recombination kinetics of defect mediated recombination. Hence, the first task we undertake is to develop an analytical model that estimates the electron and hole capture coefficients of defects. Defect capture coefficients are difficult to be determined experimentally and in the absence of better information, they are often heuristically assumed in device optimization studies. The information on defect capture coefficients is critical to explore strategies for modifying device geometry that will deliver a better performing PV device. So, in our second task, we use the model of defect capture coefficient in combination of the photovoltaic device simulator to study the impact of device geometry on the recombination activity through the defects inside the device. Device geometry affects the electrostatics of a device which controls the electron and hole concentration inside a device. From our efforts to device optimization in the first and second task it is apparent that besides the knowledge of defect kinetics, one also needs the knowledge of material properties of the different layers as well as their interfaces to pinpoint the root cause of underperformance to successfully improve a real device. The electron and hole concentration along with the defect capture coefficients determine the amount of defect mediated recombination inside a device. So, in our third task we take a step further and perform root cause analysis of underperformance as well as parameter estimation in perovskite solar cells to make informed decision in our device optimization efforts.Major Scientific Contributions: In the course of my doctoral studies, I have achieved all the three goals outlined above. In my first task I developed a microscopic model to estimate defect capture coefficients within the limits of harmonic oscillator approximation. The model developed in this thesis is a step beyond the state of the art in the sense that it predicts asymmetric capture coefficients, which is agreement to the reported values of capture coefficients in literature for well studies materials like GaAs. For my second task I performed extensive device simulation to study the impact of device geometry both by changing the properties of the charge transport layers as well as the absorber layer of in a perovskite solar cell. In this task, I also managed to achieve agreement with experimental findings in methylammonium lead halide perovskite solar cells with high open-circuit voltage. Through this task, I was able to propose, develop and prove the effectiveness of the new concept of "Defect tolerant solar cell geometries" and provide definite guiding principles for future device optimization efforts. In my third task, I was able to implement and apply Bayesian inference for root cause analysis and parameter estimation of perovskite solar cells. Usage of Bayesian inference techniques on perovskite solar cells have not been reported before in literature. This task introduces the perovskite solar cell community to Bayesian inference as well as machine learning methods for faster and non-invasive determination of material properties as well as root cause analysis for underperformance. The three tasks undertaken in the thesis involves three different kinds of theory and simulation approaches all equally complex. The first task involved pure analytical modeling, whereas the second task is based on device modeling by solution of coupled differential equation. The third task involved implementation of a system with Bayesian inference algorithms in combination of with deep neural networks. Major Publications: In this thesis I have made three first author publication covering the studies of the first and second task. A fourth first author journal article introducing the open source code developed as a part of the third task is submitted and a fifth first author journal article is being written discussing parameter estimation in perovskite solar cells using Bayesian inference.Published:1. Das, B., Aguilera, I., Rau, U. Kirchartz, T. What is a deep defect? Combining Shockley-Read-Hall statistics with multiphonon recombination theory. Phys. Rev. Mater. 4, 024602 (2020). https://doi.org/10.1103/PhysRevMaterials.4.0246022.Das, B., Liu, Z., Aguilera, I., Rau, U. Kirchartz, T. Defect tolerant device geometries for lead-halide perovskites. Mater. Adv. 2, 3655–3670 (2021). https://doi.org/10.1039/D0MA00902D3.Das, B., Aguilera, I., Rau, U. Kirchartz, T. Effect of Doping, Photodoping, and Bandgap Variation on the Performance of Perovskite Solar Cells. Adv. Opt. Mater. 2101947 (2022). https://doi.org/10.1002/adom.202101947Unpublished:4. Das, B., Rau, U., Kirchartz, T. Buonassisi, T. BayesMC: Python package for doing parameter estimation using Bayesian inference with Markov Chain Monte Carlo.5. Das, B., Rau, U., Buonassisi, T. Kirchartz, T. , Parameter estimation for perovskite solar cells using Bayesian inference
Dr. Edwin Wright Collection: Author Unknown
No full textNotes - The author relates several short stories about his neighbours including Alex McDonell, homesteading and life around Meanook and Athabasca (1 page
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