Gradient descent is a fundamental optimization algorithm widely used in machine learning and numerical analysis. Gradient descent has widespread applications but when it comes to non convex functions, the choice of a learning rate framework in order to escape saddle points becomes succinctly important.
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From loneliness to internet addiction in adolescents: disentangling the within-person mediating role of rumination via RI-CLPM. [PDF]
Deng Y +5 more
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A new data‐efficient framework combining DFT calculations, a neural network model, and automated graph analysis of catalytic reaction networks is proposed and applied to CO2 hydrogenation on transition metal nanoparticles. The analysis shows how efficient C2 oxygenate production requires a balance between CHx formation, C–C coupling, protonation, and ...
Mikhail V. Polynski, Sergey M. Kozlov
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A Novel Gear Fault Diagnosis Method Based on COA-VMD, RCMFE and SSA-BP. [PDF]
Chen D +7 more
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Engineering of the 148‐germline (148‐GL) antibody reveals a roadmap for overcoming SARS‐CoV‐2 viral escape. By introducing four specific somatic hypermutations, the resulting 148‐M4 variant restores potent neutralization against Omicron BA.1 and BA.4/5.
Huibin Lv +14 more
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Adult attachment profiles, death attitudes, and intention to remain in nursing among Chinese intern nursing students. [PDF]
Yang Y +6 more
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Integration of Reconfigurable p‐Bit and 1R Crossbar Array for Memristive Probabilistic Computing
A memristive probabilistic computing system is demonstrated by integrating stochastic p‐bits based on volatile memristors with a 1R crossbar array encoding interaction weights. The system performs weighted‐sum operations across the array and updates p‐bits iteratively.
Keunho Soh +7 more
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Evolution-guided phage therapy for antimicrobial-resistant <i>Acinetobacter baumannii</i>: from resistance evolution and genomic plasticity to receptor-associated fitness trade-offs and clinical translation. [PDF]
Wang C, Zhang G, Huang H.
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Xenon isotopes reveal a geomagnetic prelude to Earth's oxygenation. [PDF]
Wei Y.
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Bistable Networks Enable Complex Shape Changes
Transition‐controlled metamaterials are networks of bistable mechanical memory that store local binary states and express them as global shape change. By decoupling low‐force programming from high‐force holding, a single lattice is reconfigured into distinct 2D profiles and 3D surfaces without continuous actuation, enabling reusable morphing materials ...
Sawyer Thomas, Jeffrey Lipton
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