71 research outputs found

    Application of multilayer feedforward neural networks to precipitation cell-top altitude estimation

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    Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.Includes bibliographical references (p.73-74).by Michelle S. Spina.M.S

    Reforming the family justice system initiative

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    Family breakdown is common and brings with it many challenges for parents and their children. These challenges are compounded by the current family justice system, which is adversarial in nature, complex and costly for families. Over the years, the justice community has tried isolated interventions to improve access to justice, and while these projects, reforms and programs have achieved some good, they have not created the system-wide change we desire. We’ve learned from past experience that the only way to bring about meaningful, systemic change is to have a broad collaboration of all the participants in the justice system come together to work collectively to create the change we desire. In the RFJS initiative, we are exploring systemic design processes to address complex problems through systemic change. This case study includes a description of the steps taken to bring together a collaborative alliance made up of approximately 200 individuals and organizations representing ten sectors that work within the broadly defined family justice system. Over the past year, we have held four workshops designed to build community and relationships among the collaborators; to gather information about the focus of concern within our collaborative alliance; to develop an understanding of systemic change and innovative lab processes; and to ensure that there is a shared commitment to change. The main technique and method used throughout this process was Causal Layered Analysis (CLA) developed by Sohail Inayatullah, a futures studies researcher. While our current family justice system is characterized by a focus on family breakdown and legal responses, the space created through CLA enables us to consider solutions that might exist entirely outside the current understanding. Additionally, the language of the mental model and Theory of Change help us to understand and talk about the system in new ways that are much more focused on helping families to thrive, and recognize that family justice issues are primarily social and relationship problems which contain a legal element. This initiative is increasing the knowledge and capacity for systemic change among all participants in the RFJS. We are building an awareness and understanding of innovative approaches, developmental evaluation and collaborative action that has not previously existed among these participants. This project is opening up a space to enable stakeholders (clients, families, and those who work within the system) to reframe the problems that they encounter in family justice. We are creating a culture of learning that allows us to learn as we go forward, and will support continued improvement in the family justice system

    Fiji Aquaculture/Rice Farming Analysis

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    This paper looks into the components and considerations of a prawn or prawn and rice farming project in the village of Vuisiga, Fiji. It considers Fijian culture and its implications for this farming system, and the climate of Fiji for the feasability of this. Three scenarios are described: prawn monoculture, concurrent prawn/rice farming, and rice monoculture. For each scenario there are descriptions of how to implement the system from the building of the ponds to the harvest of product. Recommendations are given as well

    Application of Multilayer Feedforward Neural Networks to Precipitation Cell-Top Altitude Estimation

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    The use of passive 118-GHz O2 observations of rain cells for precipitation cell-top altitude estimation is demonstrated by using a multilayer feed forward neural network retrieval system. Rain cell observations at 118 GHz were compared with estimates of the cell-top altitude obtained by optical stereoscopy. The observations were made with 2 4 km horizontal spatial resolution by using the Millimeter-wave Temperature Sounder (MTS) scanning spectrometer aboard the NASA ER-2 research aircraft during the Genesis of Atlantic Lows Experiment (GALE) and the COoperative Huntsville Meteorological EXperiment (COHMEX) in 1986. The neural network estimator applied to MTS spectral differences between clouds, and nearby clear air yielded an rms discrepancy of 1.76 km for a combined cumulus, mature, and dissipating cell set and 1.44 km for the cumulus-only set. An improvement in rms discrepancy to 1.36 km was achieved by including additional MTS information on the absolute atmospheric temperature profile. An incremental method for training neural networks was developed that yielded robust results, despite the use of as few as 56 training spectra. Comparison of these results with a nonlinear statistical estimator shows that superior results can be obtained with a neural network retrieval system. Imagery of estimated cell-top altitudes was created from 118-GHz spectral imagery gathered from CAMEX, September through October 1993, and from cyclone Oliver, February 7, 1993

    Identification of features of electronic prescribing systems to support quality and safety in primary care using a modified Delphi process

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    <p>Abstract</p> <p>Background</p> <p>Electronic prescribing is increasingly being used in primary care and in hospitals. Studies on the effects of e-prescribing systems have found evidence for both benefit and harm. The aim of this study was to identify features of e-prescribing software systems that support patient safety and quality of care and that are useful to the clinician and the patient, with a focus on improving the quality use of medicines.</p> <p>Methods</p> <p>Software features were identified by a literature review, key informants and an expert group. A modified Delphi process was used with a 12-member multidisciplinary expert group to reach consensus on the expected impact of the features in four domains: patient safety, quality of care, usefulness to the clinician and usefulness to the patient. The setting was electronic prescribing in general practice in Australia.</p> <p>Results</p> <p>A list of 114 software features was developed. Most of the features relate to the recording and use of patient data, the medication selection process, prescribing decision support, monitoring drug therapy and clinical reports. The expert group rated 78 of the features (68%) as likely to have a high positive impact in at least one domain, 36 features (32%) as medium impact, and none as low or negative impact. Twenty seven features were rated as high positive impact across 3 or 4 domains including patient safety and quality of care. Ten features were considered "aspirational" because of a lack of agreed standards and/or suitable knowledge bases.</p> <p>Conclusions</p> <p>This study defines features of e-prescribing software systems that are expected to support safety and quality, especially in relation to prescribing and use of medicines in general practice. The features could be used to develop software standards, and could be adapted if necessary for use in other settings and countries.</p

    Patients’ and family caregivers’ experiences with a newly implemented hospital at home program in British Columbia, Canada: Preliminary results

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    The Hospital at Home (HaH) model of care, which enables the provision of acute-level care in the patient’s own home as an alternative to brick and mortar hospital admission, was introduced in British Columbia, Canada in November 2020, starting with 9 inpatient “beds” in the community. The AT-HOME research group applied a patient-oriented approach to evaluate the patients’ and family caregivers’ (FCGs) experiences with the program as it was implemented and expanded throughout Victoria, BC. In this paper, we discuss the development of the survey instruments, including process and timelines (three phases); and present preliminary findings of the observational research study (six months of patient and FCG feedback data). The preliminary results show that 100% of patients (n=75) and 95% of FCGs (n=57) had an overall positive experience with the program (rated 6-10 on a 10-point scale where 0 meant ‘very poor’ and 10 ‘very good’). 100% of these patients and 96% of these FCGs would recommend the program to their friends and family and 97% of these patients and 96% of these FCGs would choose the program again if faced with the same situation. The preliminary results on metrics pertaining to care quality; information sharing and experiences with the admission and discharge processes; FCG’s roles, medication management, and more are discussed here. The final results of the patient and FCG experiences will be reported at the end of the data collection period. We can conclude that this new HaH program has been positively received by patients and FCGs thus far and they support program expansion Experience Framework This article is associated with the Innovation & Technology lens of The Beryl Institute Experience Framework (https://www.theberylinstitute.org/ExperienceFramework). Access other PXJ articles related to this lens. Access other resources related to this len

    Engaging patients and families in developing, implementing, and evaluating hospital at home: A Canadian case study

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    The Hospital at Home (HaH) care model is naturally patient-centred, with improved patient and family experiences and outcomes firmly anchoring the innovative approach to care. Existing literature focuses largely on the health care and patient care outcomes of HaH; however, to date, none of the identified literature has reported on engaging patients and families in the development, implementation, or evaluation of the HaH model of care. A multi-stakeholder, Patient-Oriented Research team in Victoria, British Columbia, Canada engaged patients and family/friend caregivers (PFCs) across all components of the HaH program. Guided by best practices in patient and public engagement, the team collaborated to 1) explore the potential impact of in-home acute care on PFCs’ experiences; 2) identify health, social, and practice outcomes that matter to PFCs; 3) examine the social and environmental factors which may impact delivery of HaH; and 4) inform the HaH evaluation framework that includes PFC priority measures related to experience and outcomes. A public, online survey (n=543 PFC respondents) revealed both program-specific and evaluation-specific themes. These included a focus on patients achieving their own health goals and standard health outcomes, as well as patients and caregivers receiving training to support care at home. Engaging PFCs throughout HaH conception and implementation ensured the end program accurately reflected the priorities, concerns, and values of those that HaH is meant to serve. Experience Framework This article is associated with the Patient, Family & Community Engagement lens of The Beryl Institute Experience Framework (https://www.theberylinstitute.org/ExperienceFramework). Access other PXJ articles related to this lens. Access other resources related to this lens

    Autologous stem-cell transplantation as consolidation of first-line chemotherapy in patients with peripheral T-cell lymphoma : a multicenter GELTAMO/FIL study

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    Peripheral T-cell lymphomas (PTCL) are a heterogeneous group of rare lymphoid malignancies that mostly have poor prognoses with currently available treatments. Upfront consolidation with autologous stem cell transplantation (ASCT) is frequently carried out, but its efficacy has never been investigated in randomized trials. We designed a multicenter, international, retrospective study with the main objective of comparing progression-free survival and overall survival of patients with PTCL who underwent ASCT in complete remission (CR) after first-line chemotherapy with a control group who did not undergo ASCT. From the initial population of 286 registered patients, 174 patients with PTCL other than anaplastic large cell lymphoma, ALK-positive, deemed fit for ASCT at the time of diagnosis, and who were in CR or uncertain CR after induction therapy (CR1) were included in our analysis. one hundred and three patients underwent ASCT, whereas 71 did not, in most cases (n=53) because the physician decided against it. With a median follow-up of 65.5 months, progression-free survival was significantly better in the transplanted patients than in the non-transplanted group: 63% versus 48% at 5 years (P =0.042). Overall survival was significantly longer for ASCT patients in the subgroup with advanced stage at diagnosis (5-year overall survival: 70% vs. 50%, P =0.028). In the multivariate analysis, first-line ASCT was associated with significantly prolonged progression-free survival (HR=0.57, 95% CI: 0.35-0.93) and overall survival (HR=0.57, 95% CI: 0.33-0.99). In conclusion, our study supports the use of ASCT as a consolidation strategy for patients with PTCL in CR1. These results should be confirmed in a prospective randomized study

    Radio Astronomy

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    Contains table of contents for Section 4 and reports on ten research projects.National Science Foundation Grant AST 90-22501Alfred P. Sloan FellowshipDavid and Lucile Packard Fellowship Award for Science and EngineeringNational Aeronautics and Space AdministrationNational Science Foundation Presidential Young Investigator AwardNational Aeronautics and Space Administration Grant NAGW-2310MIT Lincoln Laboratory Agreement BX-4975National Aeronautics and Space Administration/Goddard Space Flight Center Contract NAS 5-31276MIT Leaders for Manufacturing Progra

    Radio Astronomy

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    Contains table of contents for Section 4 and reports on seven research projects.National Science Foundation Grant AST 92-24191MIT Class of 1948/Career Development ChairNational Science Foundation Presidential Young Investigator AwardDavid and Lucile Packard FellowshipMIT Lincoln Laboratory Agreement BX-4975National Aeronautics and Space Administration/Goddard Space Flight Center Grant NAS5-31276National Aeronautics and Space Administration/Goddard Space Flight Center Grant NAG5-10MIT Leaders for Manufacturing Progra
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