Publications by authors named "L L Peng"

This survey explores the transformative impact of foundation models (FMs) in artificial intelligence, focusing on their integration with federated learning (FL) in biomedical research. Foundation models such as ChatGPT, LLaMa, and CLIP, which are trained on vast datasets through methods including unsupervised pretraining, self-supervised learning, instructed fine-tuning, and reinforcement learning from human feedback, represent significant advancements in machine learning. These models, with their ability to generate coherent text and realistic images, are crucial for biomedical applications that require processing diverse data forms such as clinical reports, diagnostic images, and multimodal patient interactions.

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Background: Primary hypertension (PH) poses significant risks to children and adolescents. Few prediction models for the risk of PH in children and adolescents currently exist, posing a challenge for doctors in making informed clinical decisions.

Objective: This study aimed to investigate the incidence and risk factors of PH in Chinese children and adolescents.

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Article Synopsis
  • The study reveals that laser-assisted dynamic interference in electron spectra can be experimentally observed using attosecond pulse trains, demonstrating fine interference patterns smaller than the energy of individual laser photons.
  • Theoretical simulations align with experimental findings, utilizing methods like the time-dependent Schrödinger equation and strong-field approximation to support the results.
  • Further analysis emphasizes the significance of phase variations in electron wave packets, showing that the manipulation of electron behavior in the continuum is achievable through advanced multicolor laser techniques controlled at attosecond timescales.
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Article Synopsis
  • Ovarian cancer is the most deadly gynecological cancer, with current chemotherapy often ineffective due to drug resistance, especially in advanced stages.
  • A new treatment using a nanoformulation called Bola/IM targets ovarian cancer stem cells (CSCs) more effectively than imatinib alone, utilizing a specific mechanism to inhibit cancer growth and spread.
  • The Bola/IM formulation shows promising results in lab models and enhances the effectiveness of cisplatin, making it a strong candidate for improving treatment for metastatic ovarian cancer.
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Li-TFSI/t-BP is the most widely utilized p-dopant for hole-transporting materials (HTMs) in state-of-the-art perovskite solar cells (PSCs). However, its nonuniformity of doping, along with the hygroscopicity and migration of dopants, results in the devices that exhibit limited stability and performance. This study reports the use of a spherical anion of the p-dopant, regulated by its radius and shape, as an alternative to the linear TFSI- anion.

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