191,212 research outputs found
THE AI REVOLUTION: TRANSFORMING INDUSTRIES AND SOCIETY
No full text<p>Author: Vinit Parmar </p><p>Designation: Founder and CEO of The Flyhyer </p><p>Affiliation: The Flyhyer </p><p>Contact Number: 9099972157 </p><p>Email Address: [email protected] </p><p>Address: At Post Bhalod, New Vashahat Parmar Faliya, House No. 1171 District: Bharuch Taluka: Jhaghadia</p>
A grammar of sentiment thinking about sentimental jewellery towards making new art about love and loss.
No full textSubmitted in partial fulfilment of the requirements of the University of Wolverhampton for the Degree of Doctor of PhilosophyThis practice-led research project explores English and French sentimental jewellery of the Victorian period. ‘Sentimental jewellery’ or ‘message jewellery’ denotes jewellery created to function as a tangible expression of feeling between donor and recipient, mediated through complex narratives relating to its exchange. These artefacts codify emotion through use of complex visual languages, employing the symbolic and coded use of gems, human hair, emblems, words and wordplay. The research has expanded to encompass memorial garments known as ‘widows weeds’. The aims of the research have been threefold: firstly, to add to understanding and interpretation of aspects of Victorian sentimental jewellery and associated craft practices; secondly, to explore the metaphors and narratives inherent within them; thirdly, to test the visual and technical possibilities of knowledge thus gained to address human feeling through art. Outcomes take the form of a body of new artwork and a written thesis, which are designed to be mutually informing. Together, they articulate my response to the project’s central question: can consideration of the ‘grammar of sentiment’ at work in Victorian sentimental jewellery yield new possibilities, through fine art practice, for communicating love and loss in the 21st century? The four artworks that are a main output of the research take the forms of: REGARD:LOVEME, an artist’s book exploring gem codes and wordplay; Plocacosmos, a set of hairworking trials; The Cyanotypes, which reflect upon the materiality and aesthetic of the amatory locket; and Widows Weeds, a large format photographic installation, which considers the materiality and lineage of mourning cloth. Collectively, they explore the typology of the sentimental artefact through development of text/image vocabularies that are conceived as providing a ‘grammar of sentiment’ through which to articulate aspects of human feeling. It is this exploration that constitutes my main contribution to knowledge
Workflow Driven Decision Support Systems: A case of an intra-operative visualization system for surgeons
No full textInadequate visualization during Minimally Invasive Surgeries (MIS) has led several technology research labs to develop decision support systems such as Intra-operative Visualization Systems (IVS). IVS focuses on providing surgeons with real-time imaging support to improve task visualization and navigation. Though exciting, this emerging field also presents challenges in terms of design, development, implementation and integration of various technologies in the surgical workplace. While developing a technically robust IVS which integrates various imaging sources may help visualizing the patient data, it may not serve its true purpose: to adequately support surgeons in making the right decisions. Development of IVS should therefore be not just “technology intensive”; but “Knowledge Intensive Visualization System (KIVS)”. This means that these systems should aim to provide the knowledge to make informed decisions by providing the surgeon with the necessary patient information. This thesis is an example of the role design as a discipline can play in guiding the user-centered technological innovation in the area of medical informatics, especially in the case where the development depends on creating collaborative design between different scientific disciplines: surgical, technological (medical informatics) and design. Visualization of the patient information which supports surgical decision making in KIVS is dependent on knowledge of surgical workflow- which means knowledge of how surgeons solve problems and make decisions while performing the procedure. Surgical workflow depends on a dynamic information flow between the system, the surgeon, the patient, and the surgical team. Surgical workflow is also linked in time over the three surgical phases: pre-operative (before surgery), intra-operative (during surgery), and post-operative (post surgery). This thesis focuses on answering the following research questions: (a) What are the constituents or task boundaries of the surgical workspace that influence the surgical workflow or the surgical problem-solving process? (b) How can the knowledge of the surgical workflow be incorporated into the design of KIVS so as to improve decision-making and thus the performance of the surgeons?(c) In a multidisciplinary development team of surgeons, technology engineers and designers, what steps are required in the KIVS development process to facilitate collaborative design? Based on empirical studies with surgeons, this thesis proposed a design framework called “Workflow-centered design framework”. This framework assists in analyzing the surgical workflow which eventually leads to the development of the knowledge repository of surgical procedure, information and design requirements for the KIVS. This framework has been applied to support workflow driven development of two KIVS prototypes taking a case of upcoming MIS to treat cancer in liver called Radio frequency Ablation (RFA). These prototypes have been developed involving real-time image fusion between imaging modalities such as intra-operative Ultrasound (US) and pre-operative Computerized Tomography (CT) scan. The results from the evaluative study showed significant improvements in the performance of expert intervention radiologists and medical students while performing RFA using KIVS compared to US. In particular, intra-operative planning time and task accuracy of hitting the right tumor in the center showed significant improvement. The findings demonstrated the importance of workflow driven patient data visualization in improving surgical decision making. The framework proposed in this thesis serves as a means to generate the scientific knowledge required to drive user-centered development of KIVS. The contribution of this thesis is at three levels: - The framework proposed in this thesis contributes to design and ergonomics literature as a practical example of application of user centered design to drive innovative technological development of KIVS for complex workspaces such as the surgical theatre. - It contributes to the medical informatics by integrating cognitive theories as a foundation which guides the development of KIVS. - The KIVS prototype serves as a development aid to guide future technological innovation in the area of intra-operative visualization system for RFA and for MIS in general.Product Innovation ManagementIndustrial Design Engineerin
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No full textNot AvailableAlam MdP, Bishi SK, Kumar A. Useful Formula and Computations in Agronomy. In: Singh AK, Jerai MC, Singh JP, Verma MK, Amanullah, Tuti MD, editors. Cropping System and their Evaluation. Dhanbad: Parmar Publication; 2019. p. 96–103.Not Availabl
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No full textNot AvailableAlam, Md.P., Bishi, S.K., Kumar, A. Assessment of Multiple Cropping Advantages & Sustainability. In: Singh AK, Jerai MC, Singh JP, Verma MK, Amanullah, Tuti MD, editors. Cropping System and their Evaluation. Dhanbad: Parmar Publication; 2019. p. 1–13.Not Availabl
Cumulative Hazard function and Survival function of Non-parametric and Royston-Parmar models.
No full text<p>The graph on the left shows cumulative hazards estimated using the Nelson-Aalen method (red line) with 95% CI’s (grey area) and the cumulative hazard estimated by Royston-Parmar PH (df 3) modeling (green line). The graph on the right shows the survival function estimated using the Kaplan-Meier method with 95% CI’s (grey area) and the survival function estimated by Royston-Parmar PH (df 3) modeling (green line). These graphs were based on the full cohort minus those missing data for key variables (n = 1086). As can be seen the Royston-Parmar models provides excellent fit when compared to non-parametric methods.</p
Royston Parmar of 90-day unplanned readmissions for any reason and for gastrointestinal (GI) conditions only.
No full textRoyston Parmar of 90-day unplanned readmissions for any reason and for gastrointestinal (GI) conditions only.</p
Royston-Parmar risk-adjusted hazard analysis for 30-day readmission by incidence of acute kidney injury (AKI).
No full textRoyston-Parmar risk-adjusted hazard analysis for 30-day readmission by incidence of acute kidney injury (AKI).</p
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No full textNot AvailableAlam MdP, Bishi SK, Kumar A. Evaluation of Various Cropping Systems in terms of their yield Advantages, Economics and Sustainability Assessment of Multiple Cropping Advantages & Sustainability. In: Singh AK, Jerai MC, Singh JP, Verma MK, Amanullah, Tuti MD, editors. Cropping System and their Evaluation. Dhanbad: Parmar Publication; 2019. p. 51–64.Not Availabl
The current application of the Royston-Parmar model for prognostic modeling in health research: a scoping review
No full textAbstract Background Prognostic models incorporating survival analysis predict the risk (i.e., probability) of experiencing a future event over a specific time period. In 2002, Royston and Parmar described a type of flexible parametric survival model called the Royston-Parmar model in Statistics in Medicine, a model which fits a restricted cubic spline to flexibly model the baseline log cumulative hazard on the proportional hazards scale. This feature permits absolute measures of effect (e.g., hazard rates) to be estimated at all time points, an important feature when using the model. The Royston-Parmar model can also incorporate time-dependent effects and be used on different scales (e.g., proportional odds, probit). These features make the Royston-Parmar model attractive for prediction, yet their current uptake for prognostic modeling is unknown. Thus, the objectives were to conduct a scoping review of how the Royston-Parmar model has been applied to prognostic models in health research, to raise awareness of the model, to identify gaps in current reporting, and to offer model building considerations and reporting suggestions for other researchers. Methods Five electronic databases and gray literature indexed in web sources from 2001 to 2016 were searched to identify articles for inclusion in the scoping review. Two reviewers independently screened 1429 articles, and after applying exclusion criteria through a two-step screening process, data from 12 studies were abstracted. Results Since 2001, only 12 studies were identified that used the Royston-Parmar model in some capacity for prognostic modeling, 10 of which used the model as the basis for their prognostic model. The restricted cubic spline varied across studies in the number of interior knots (range 1 to 6), and only three studies reported knot placement. Three studies provided details about the baseline function, with two studies using a figure and the third providing coefficients. However, no studies provided adequate information on their restricted cubic spline to permit others to validate or completely use the model. Conclusions Despite the advantages of the Royston-Parmar model for prognostic models, they are not widely used in health research. Better reporting of details about the restricted cubic spline is needed, so the prognostic model can be used and validated by others. Registration The protocol was registered with Open Science Framework (https://osf.io/r3232/)
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