Results 41 to 50 of about 1,561,006 (268)
Variations on mobile processes
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Airy Processes and Variational Problems [PDF]
We review the Airy processes; their formulation and how they are conjectured to govern the large time, large distance spatial fluctuations of one dimensional random growth models. We also describe formulas which express the probabilities that they lie below a given curve as Fredholm determinants of certain boundary value operators, and the several ...
Quastel, Jeremy, Remenik, Daniel
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Robust Offset-Cancellation Sensing-Circuit-Based Spin-Transfer-Torque Nonvolatile Flip-Flop
Nonvolatile flip-flop (NV-FF) based systems can be effectively implemented in battery-limited internet of things (IoT) applications due to their zero standby power consumption and instant ON/OFF characteristics. Among various NV-FFs, spin-transfer-torque
Taehui Na
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ABSTRACT Primary cutaneous anaplastic large cell lymphoma (pcALCL) is a rare pediatric CD30‐positive T‐cell lymphoproliferative disorder with an excellent prognosis, but its genomic drivers are poorly defined. We report three children with skin‐limited disease demonstrating striking molecular heterogeneity, including NPM::ALK, NUP214::FRK, and a novel ...
Shoshana Greenberger +7 more
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Spintronic Content Addressable Memory With Integrated Boolean Logic and Arithmetic Functions
To address growing data processing demands, traditional von Neumann architectures face increased power consumption and delay issues. In response, this paper presents a novel latch-based hybrid CMOS/MTJ content-addressable memory (TCAM) designed to ...
Zahra Mehdizadeh Taheri +2 more
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Sub-Threshold Standard Cell Sizing Methodology and Library Comparison
Scaling the voltage to the sub-threshold region is a convincing technique to achieve low power in digital circuits. The problem is that process variability severely impacts the performance of circuits operating in the sub-threshold domain. In this paper,
Maryam Ashouei +2 more
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Variational Tobit Gaussian Process Regression
AbstractWe propose a variational inference-based framework for training a Gaussian process regression model subject to censored observational data. Data censoring is a typical problem encountered during the data gathering procedure and requires specialized techniques to perform inference since the resulting probabilistic models are typically ...
Marno Basson +2 more
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ABSTRACT Background Combined oral contraceptive (COC) use in obese adult women dramatically increases the relative risk of developing a pulmonary embolism (PE). The risk of a PE in obese adolescent females taking contraceptives is currently unknown. The purpose of this investigation was to determine the effect of body mass index (BMI) and contraceptive
John Puetz, Joanne Salas
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Processes and Variations in Digital Landscapes [PDF]
In this presentation I screen a number of abstract video works where landscape and virtual space converge. I demonstrate the ways that system-based camera recordings are developed in post-production around compositions of pixel, line and block structures. Developing a transient optics and digital aesthetic, the works reflect the human and technology in
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Variational Nearest Neighbor Gaussian Process
Variational approximations to Gaussian processes (GPs) typically use a small set of inducing points to form a low-rank approximation to the covariance matrix. In this work, we instead exploit a sparse approximation of the precision matrix. We propose variational nearest neighbor Gaussian process (VNNGP), which introduces a prior that only retains ...
Luhuan Wu +2 more
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