“…Starting with magnetic field strength tradeoffs, the potential and limitations for purely MR-based RT workflows are discussed. Furthermore, the current status of real-time 3D MR imaging and its potential for real-time RT are summarized. …”
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“…PURPOSE: A FLASH Beam Scintillator Monitor (FBSM) is being developed based in part on two novel proprietary scintillator materials with capabilities that conventional RT detector technologies are unable to simultaneously provide: 1) large area coverage; 2) a low mass profile; 3) a linear response over a broad dynamic range; 4) radiation tolerance; 5) real-time analysis IEC-compliant fast beam-interrupt signal; 6) true two-dimension beam imaging with excellent spatial resolution. …”
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“…The linear filaments observed in cells corresponded to microtubules based on three criteria: (a) small particles translocated along them; (b) the majority of them disappeared after incubation in nocodazole; (c) and the distribution observed by differential interference contrast correlated with anti-tubulin immunofluorescence staining of the same cell. …”
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“…We conducted a multilevel linear regression analysis, taking into account a hierarchical structure of the time‐series data, limiting our analysis to municipalities where agricultural land use was high. …”
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“…BACKGROUND: For real time surveillance, detection of abnormal disease patterns is based on a difference between patterns observed, and those predicted by models of historical data. …”
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“…Time-Domain Electromagnetic (TDEM) data modeling, especially for central-loop configurations, is often achieved through 1D inversion models. …”
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“…The proposed approach is built on two phases: (1) a Gaussian kernel-based density estimation for finding the optimal subsequence of given earthquake time-series, and (2) inter-event time ([Formula: see text] ) and distance-based observation of each subsequence for checking the presence of highly correlated aftershock sequences (hot-spots) in it. …”
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“…This paper presents a novel framework for this task where joint time-domain features are firstly computed to extract temporal fluctuations of a given EEG data stream; and then, an auto-regressive (AR) linear model is adopted to model the data and temporal anomalies are subsequently calculated from that model to reflect the possibilities that a change occurs; a non-parametric statistical test based on Randomized Power Martingale (RPM) is last performed for making change decision from the resulting anomaly scores. …”
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“…This extension to the traditional door-to-door ridesharing problem brings more operation flexibility in urban areas (where potential requests may be densely distributed in neighborhood), and thus could achieve better system performance in terms of reducing the total travel time and increasing the served passengers. We design and implement a Tabu-based meta-heuristic algorithm to solve the proposed mixed integer linear program (MILP). …”
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“…In this article, we present a quantum transistor model based on a network of coupled quantum oscillators destined to quantum information processing tasks in linear optics. …”
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“…Here, we adopt epoch-modelling to develop a Bayesian model of discrete rate changes through time in an unknown evolutionary history and combine this with a log-linear parameterization of rates as a function of times in the past. …”
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“…A prognostic index for time to initiation of symptomatic therapy was created using the linear and nonlinear effects of the three top variables based on a post hoc Cox model. …”
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“…This paper proposes an innovative method for time-series prediction in energy-intensive industrial systems characterized by highly dynamic non-linear operations. …”
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“…Premorbid ID level was based on IQ or mental age scores prior to dementia concerns. …”
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“…Specialized treatment machines, such as robotic or gimbal-steered linear accelerators (linac) with in-room imaging suites, have been developed specifically for real-time treatment adaptation. …”
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