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Development of a leech-inspired peristaltic crawling soft robot for intestine inspection
The development of a non-destructive and patient-friendly method for examining the intestines is crucial for early prevention and timely diagnosis of...
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Autonomous military systems beyond human control: putting an empirical perspective on value trade-offs for autonomous systems design in the military
The question of human control is a key concern in autonomous military systems debates. Our research qualitatively and quantitatively investigates...
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Double cavity magnomechanical system with bipartite entanglement
We theoretically investigate the entanglement dynamics in a system consisting of two coupled microwave cavities with yittrium iron garnet spheres...
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Two-phase cost-sensitive-learning-based framework on customer-side quality inspection for TFT-LCD industry
The Covid-19 outbreak in 2020 boosted the stay-at-home economy, causing a surge in electronics industry demand, especially benefiting the LCD panel...
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Open charm production cross section from combined LHC experiments in pp collisions at \(\sqrt{s} = 5.02\) TeV
Open charm production in proton–proton collisions represents an important tool to investigate some of the most fundamental aspects of quantum...
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Intentionality gap and preter-intentionality in generative artificial intelligence
The emergence of generative artificial intelligence, such as large language models and text-to-image models, has had a profound impact on society....
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Mental disorder and suicidal ideation detection from social media using deep neural networks
Depression and suicidal ideation are global reasons for life-threatening injury and death. Mental disorders have increased especially among young...
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LIATAN, a new laboratory for applied research at the Universidad Tecnológica Metropolitana
LIATAN has been recently installed at the Facultad de Ciencias Naturales, Matemática y del Medio Ambiente, of the Universidad Tecnológica...
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Physically viable solutions of anisotropic hybrid stars in f(T) gravity: an embedding approach
In this study, we explore the structure of a hybrid neutron stars composed of normal and strange quark matter distribution within the realm of f ( T )...
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Insightful inspection of the nonlinear instability of an azimuthal disturbance separating two rotating magnetic liquid columns
The nonlinear stability examination of two revolving magnetized liquid columns connecting two completely submerged fluids in a permeable region is...
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Virtualism: how AI replaces reality
This paper traces the shift from the age of realism to the age of virtualism we are currently witnessing. To do so, I draw on older theories...
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Critical behavior around the fixed points driven by fermion–fermion interactions and disorders in the nodal-line superconductors
We systematically investigate the intricate interplay between short-range fermion-fermion interactions and disorder scatterings beneath the...
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Self-representation with adaptive loss minimization via doubly stochastic graph regularization for robust unsupervised feature selection
Unsupervised feature selection (UFS), which involves selecting representative features from unlabeled high-dimensional data, has attracted much...
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Skill, status and the Matthew effect: a theoretical framework
To gain a deeper understanding of the Matthew effect in academic recognition among researchers, three social influence models of status hierarchies...
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MPTP-Net: melt pool temperature profile network for thermal field modeling in beam sha** of laser powder bed fusion
To thoroughly investigate the impact of beam sha** on melt pool behavior and accurately predict the microstructure and mechanical properties of the...
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Stability in Inverse Problem of Determining Two Parameters for the Moore-Gibson-Thompson Equation with Memory Terms
In this paper, the authors consider the inverse problem for the Moore-Gibson-Thompson equation with a memory term and variable diffusivity, which...
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A Lightweight Task-Agreement Meta Learning for Low-Resource Speech Recognition
Meta-learning has proven to be a powerful paradigm for transferring knowledge from prior tasks to facilitate the quick learning of new tasks in...
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Mutual correlation and butterfly effect of charged Reissner-Nordström AdS black hole with quintessence
In this article, based on shock geometry and chaos theory, we mainly study the butterfly effect of the Reissner-Nordström AdS black hole (RN-AdS...
