The Illusion of Randomness: Evaluating Student Sampling Performance
Randomness is a critical concept in the study of statistics, both for everyday consumers of statistical information and producers of statistical analyses. However, students at all levels do not alw…
Asymptotic and Transient Dynamics of a Stoichiometric Algal Growth Model with…
Exploring the mechanism of phosphate (Pi) uptake by algae is essential to accurate prediction and a comprehensive understanding of harmful algal blooms (HABs). Previous experimental studies have re…
Subterranean mMTC in Remote Areas : Underground-to-Satellite Connectivity App…
Wireless underground sensor networks (WUSNs) promise to deliver substantial social and economic benefits across different verticals. However, many of the relevant application scenarios are located …
Holographic Integrated Sensing and Communications : Principles, Technology, a…
Integrated sensing and communication (ISAC) has attracted much attention as a promising approach to alleviate spectrum congestion. However, traditional ISAC systems rely on phased arrays to provide…
Why Increase of Heterogeneity Signals Pre-Deterioration During Tumor Progress…
Heterogeneity plays an important role in cancer genesis and progression. In this paper, we theoretically and computationally show that the increase of heterogeneity signals predeterioration during …
All-Fiber High-Power 3 GHz Ultrafast Laser System At 2.0 μm
In this work, we report on a high-power all-fiber ultrafast laser system at 2.0 μm that delivers femtosecond pulses with a fundamental repetition rate of 3.0 GHz and a maximum output power of 33.1…
High-Spatial-Resolution Strain Sensor Based on Rayleigh-Scattering-Enhanced S…
A high-spatial-resolution, i.e., 2.0 mm, strain sensor based on a Rayleigh-scattering-enhanced SMF, i.e., exposed SMF (E-SMF) with direct UV laser, was experimentally demonstrated. The enhancement …
Locally Sparse Estimator for Functional Linear Regression Models
A new locally sparse (i.e., zero on some subregions) estimator for coefficient functions in functional linear regression models is developed based on a novel functional regularization technique cal…
Hyperbolic Deep Neural Networks : A Survey
Recently, hyperbolic deep neural networks (HDNNs) have been gaining momentum as the deep representations in the hyperbolic space provide high fidelity embeddings with few dimensions, especially for…
Background-Click Supervision for Temporal Action Localization
Weakly supervised temporal action localization aims at learning the instance-level action pattern from the video-level labels, where a significant challenge is action-context confusion. To overcome…
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