Surfactant-Boosted Silk Fibroin Microneedle Patches for Visual Glucose Detection por Qiang Peng (301201)

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Surfactant-Boosted Silk Fibroin Microneedle Patches for Visual Glucose Detection por Qiang Peng (301201)

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Evaluation of stiffness feedback for hard nodule identification on a phantom silicone model por Min Li (12799)

“...<div><p>Haptic information in robotic surgery can significantly improve clinical outcomes and help detect hard soft-tissue inclusions that indicate potential abnormalities. ...”

Inference speed of all three MTL architectures—Hard parameter sharing (MH), Multi-gate Mixture-of-experts (MMoE), and Multi-gate Mixture-of-experts with Exclusivity (MMoEEx)—After... por Jonas Verhellen (19267988)

DataSheet_1_Case Report: Blurred Vision and Eruptive Nevi - Bilateral Diffuse Uveal Melanocytic Proliferation With Mucocutaneous Involvement in a Lung Cancer Patient.docx por David Rafei-Shamsabadi (10588496)

“...Further skin involvement of the perineal and perianal region, mamillae and oral mucosa was stated. ...”

Species matter for predicting the functioning of evolving microbial communities – An eco-evolutionary model por Timothy G. Barraclough (7274534)

“...Yet predicting dynamics and functioning of these complex systems is hard, making interventions to enhance functioning harder still. ...”

Effect of BDSW on expression of genes involved in fatty acid oxidation, oxidative phosphorylation, and mitochondrial dynamic in C₂C₁₂ myotubes. por Byung Geun Ha (597017)

Differential expression of genes involved in efflux, ATP generation, respiration, LPS transport and secretion during monotherapy or combination therapy with respect to untreated <i... por Samuel Kraus (18934096)

Delete one edge on Karate network to change the consensus opinion—<i>β</i> = 1. por Xi Chen (35903)

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For the Karate network. por Xi Chen (35903)

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Influence of edge edition on consensus. por Xi Chen (35903)

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Graphical illustration of Case 2 from Theorem 1 (i.e. <i>p</i> < 0 and <i>β</i> ≥ −1/<i>p</i>). por Xi Chen (35903)

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Opinion formation on the star graph. por Xi Chen (35903)

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Based on one ER model (<i>n</i> = 100, <i>ρ</i> = 0.0606), one WS model (<i>n</i> = 100, <i>K</i> = 6, <i>σ</i> = 0.2), and one BA model (<i>n</i> = 100, <i>M</i>₀ = 4,... por Xi Chen (35903)

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For 1,000 random y(0) on Karate network. por Xi Chen (35903)

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Based on three WS models with different rewiring probabilities (<i>n</i> = 100, <i>K</i> = 6, <i>σ</i> = 0.1, 0.3, 0.8). por Xi Chen (35903)

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<i>β</i>^<i>P</i> for real-world twitter datasets. por Xi Chen (35903)

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For 1,000 random y(0). por Xi Chen (35903)

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For a random opinion vector y(0) with mean −0.0395, on 1,000 ER models with <i>n</i> = 100 and <i>ρ</i> = 0.4. por Xi Chen (35903)

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For a random opinion vector y(0), on ER models with <i>n</i> = 100 and <i>ρ</i> ∈ (0,1]. por Xi Chen (35903)

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