3 research outputs found

    Harnessing Automation in Data Mining: A Review on the Impact of PyESAPI in Radiation Oncology Data Extraction and Management

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    Data extraction and management are crucial components of research and clinical workflows in Radiation Oncology (RO), where accurate and comprehensive data are imperative to inform treatment planning and delivery. The advent of automated data mining scripts, particularly using the Python Environment for Scripting APIs (PyESAPI), has been a promising stride towards enhancing efficiency, accuracy, and reliability in extracting data from RO Information Systems (ROIS) and Treatment Planning Systems (TPS). This review dissects the role, efficiency, and challenges of implementing PyESAPI in RO data extraction and management, juxtaposing manual data extraction techniques and explicating future avenue

    On certain subclass of p-valent functions with positive coefficients

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    In this article, a certain differential operator , k ( ) p S f z α,β,λ,δ and a subclass S n,p(α,β,δ,λ, p) for analytic functions with positive coefficients of the form Σ∞ = + = + 1 ( ) n p n n f z z p a z are introduced. Some properties such as the coefficients inequalities, distortion theorem, radii of starlikeness and convexity, closure theorems and extreme points are given. A class preserving an integral operator is also stated

    An In-Depth Analysis of Pythonic Paradigms for Rapid Hardware Prototyping and Instrumentation

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    This in-depth examination review about pythonic paradigms for quick hardware prototyping and instrumentation to solve the widening gap between the fluidity of software development and the more conventional methodology used in hardware design. The proliferation of specialized hardware and accelerators has resulted in an increased necessity for development strategies that are flexible. Reconfigurable hardware, such as FPGAs and coarse-grain reconfigurable arrays, enables incremental changes in early design stages, which is a key component of agile software development. This article goes into modern agile development methods, emphasizing the integration of services, repositories, and specialized tools to meet particular users' requirements. Continuous improvement in areas such as software and hardware design, testing, analysis, and evaluation, as well as collaboration with current development tools, are all supported by an ecosystem that has been successfully integrated
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