Results 211 to 220 of about 31,863 (290)

Quantum Decoherence of Nitrogen‐Vacancy Spin Ensembles in a Nitrogen Spin Bath in Diamond Under Dynamical Decoupling

Advanced Optical Materials, EarlyView.
Combining high‐order cluster‐correlation expansion with experiment, it is revealed that P1‐driven NV decoherence under dynamical decoupling deviates from semi‐classical scaling laws. The coherence‐time exponent depends on pulse number and bath conditions, demonstrating the necessity of a full quantum bath description.
Huijin Park, Mykyta Onizhuk, Eunsang Lee, Harim Lim, Junha Park, Junghyun Lee, Sangwon Oh, Giulia Galli, Hosung Seo   +8 more
wiley   +1 more source

Long-Term Stability Improvements of the Miniature Atomic Clock Through Enhanced Thermal Environmental Control. [PDF]

Sensors (Basel)
Gokie E, Omaraie J, Bandi TN.
europepmc   +1 more source

Gait Analysis of Pak Biawak: A Necrobot Lizard Built using the Skeleton of an Asian Water Monitor (Varanus Salvator)

Advanced Robotics Research, EarlyView.
Pak Biawak, a necrobot, embodies an unusual fusion of biology and robotics. Designed to repurpose natural structures after death, it challenges conventional boundaries between nature and engineering. Its movements are precise yet unsettling, raising questions about sustainability, ethics, and the untapped potential of biointegrated machines.
Leo Foulds, Donan Satria Yudha, Parvez Alam   +2 more
wiley   +1 more source

A Complex Differential for Gastric Outlet Obstruction: Bezoar or Bouveret? [PDF]

Cureus
Sakai L, Styadi J, Imperio-Lagabon K, Chao D.   +3 more
europepmc   +1 more source

Nanomaterial‐Based Muscle Cell/Neural Tissue Biohybrid Robots: From Actuation to Biomedical Applications

Advanced Robotics Research, EarlyView.
Muscle cell‐based biohybrid robot using nanomaterials for function enhancement and neural function for biomedical applications. Biohybrid robotics, an emerging field combining biological tissues with artificial systems, has made significant progress in developing various biohybrid constructs, including muscle‐cell‐driven biorobots and microbots.
Minkyu Shin, Sangeun Lee, Su Ryon Shin, Jin‐Ha Choi, Jeong‐Woo Choi   +4 more
wiley   +1 more source

FMA-MADDPG: Constrained Multi-Agent Resource Optimization with Channel Prediction in 6G Non-Terrestrial Networks. [PDF]

Sensors (Basel)
Yang C, Song K, Bai J, Li C, Zhao Y, Xiao Z, Sun Y.   +6 more
europepmc   +1 more source

Engineered Living Systems With Self‐Organizing Neural Networks: From Anatomy to Behavior and Gene Expression

Advanced Science, EarlyView.
Ectodermal tissue excised from Xenopus embryos self‐organizes into a three‐dimensional mucociliary organoid. Here, we generate a neural variant, termed neurobot, by implanting neural precursor cells. Neurobots develop mature neurons, adopt distinct morphologies, exhibit more complex motility, and respond differentially to neuroactive compounds. Imaging
Haleh Fotowat, Laurie O'Neill, Léo Pio‐Lopez, Megan M. Sperry, Patrick Erickson, Tiffany Lin, Michael Levin   +6 more
wiley   +1 more source

Mortality among law enforcement officers in the United States: a population-wide analysis of the National Occupational Mortality Surveillance data, 2020-2023. [PDF]

Lancet Reg Health Am
Tanksley PT, Barnes JC, Blair JP, Martaindale MH.   +3 more
europepmc   +1 more source

A Biomarker‐Driven Ovary–Endometrium Organ‐on‐a‐Chip Mimicking 3D Multicellular Complexity and Menstrual Cyclicity for Predicting Reproductive Toxicity

Advanced Science, EarlyView.
We present a dual‐organ, biomarker‐integrated ovaryendometrium organ‐on‐a‐chip that recapitulates 3D tissue complexity, menstrual cycle dynamics, and hormonal crosstalk. This platform enables real‐time, cell‐typespecific fluorescent readouts of reproductive toxicity using ANGPTL4 and SERPINB2 as early‐response reporters.
Soo‐Rim Kim, Eun‐kyung Min, Choon‐Mi Lee, Chan Hum Park, Byung‐Chul Oh, YunJae Jung, In‐Sun Hong   +6 more
wiley   +1 more source

Heuristically Adaptive Diffusion‐Model Evolutionary Strategy

Advanced Science, EarlyView.
Building on the mathematical equivalence between diffusion models and evolutionary algorithms, researchers demonstrate unprecedented control over evolutionary optimization through conditional diffusion. By training diffusion models to associate parameters with specific traits, they can guide evolution toward solutions exhibiting desired behaviors ...
Benedikt Hartl, Yanbo Zhang, Hananel Hazan, Michael Levin   +3 more
wiley   +1 more source