Results 71 to 80 of about 151 (151)

Multimodal Locomotion in Insect‐Inspired Microrobots: A Review of Strategies for Aerial, Surface, Aquatic, and Interfacial Motion

Advanced Robotics Research, EarlyView.
This review identifies key design considerations for insect‐inspired microrobots capable of multimodal locomotion. To draw inspiration, biological and robotic strategies for moving in air, on water surfaces, and underwater are examined, along with approaches for crossing the air–water interface.
Mija Jovchevska, Kaushik Jayaram, Nicole Xu   +2 more
wiley   +1 more source

Numerical Modeling of Photothermal Self‐Excited Composite Oscillators

Advanced Robotics Research, EarlyView.
We present a numerical framework for simulating photothermal self‐excited oscillations. The driving mechanism is elucidated by highlighting the roles of inertia and overshoot, as well as the phase lag between the thermal moment and the oscillation angle, which together construct the feedback loop between the system state and the environmental stimulus.
Zixiao Liu, Ryan R. Rusch, Zheng Wu, Chi Chen, Pengju Shi, Hao Qiu, Ximin He   +6 more
wiley   +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

AutomataGPT: Transformer‐Based Forecasting and Ruleset Inference for Two‐Dimensional Cellular Automata

Advanced Science, EarlyView.
We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich, Noah S. David, Markus J. Buehler   +2 more
wiley   +1 more source

Machine Learning for Green Solvents: Assessment, Selection and Substitution

Advanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta, Janhavi Nistane, Abhishek Sose, Harikrishna Sahu, Rampi Ramprasad   +4 more
wiley   +1 more source

Modeling of photoelastic imaging of mechanical stresses in transparent solids mimicking kidney stones. [PDF]

J Acoust Soc Am, 2020
Sapozhnikov OA, Maxwell AD, Bailey MR.
europepmc   +1 more source

β‐Adrenergic Signaling Promotes Anti‐Tumor Immunity in TP53‐mutant Oral Squamous Cell Carcinoma

Advanced Science, EarlyView.
β‐adrenergic stimulation enhances anti‐tumor immunity in TP53‐deficient oral squamous cell carcinoma by inducing tumor‐derived secretion of CXCL10, which attracts and activates cytotoxic CD8+ T cells. The findings demonstrate that β‐adrenergic signaling alters tumor–immune interactions via CXCL10‐mediated paracrine activation, revealing a neuro‐immune ...
Frederico O. Gleber‐Netto, Deborah Silverman, Tongxin Xie, Shamima Akhter, Nicole R. Vaughn, Adewale Adebayo, Kala Chand Debnath, Shorook Naara, Shajedul Islam, Erik Knutsen, Emily Lorin Ashkin, Simone Anfossi, Sara Leahey, Patrick Hwu, Sebastien Talbot, Erica K Sloan, Robert Saddawi‐Konefka, Roberto Rangel, Jeffrey N. Myers, George A. Calin, Moran Amit   +20 more
wiley   +1 more source

Cognitive Trajectories from Preclinical Alzheimer's Disease to Dementia

Advanced Science, EarlyView.
A continuous, multi‐domain characterization of cognitive decline across the Alzheimer's disease spectrum identifies when individual cognitive measures become abnormal. Episodic memory declines first, followed by executive function, language, processing speed, and visuospatial abilities, supporting improved clinical interpretation and optimized endpoint
Fredrik Öhman, Lars Lau Raket, Michael Schöll, for the Alzheimer's Disease Neuroimaging Initiative†   +3 more
wiley   +1 more source

Photonic Time Crystals and Time‐Varying Electromagnetic Metamatter: A New Direction for Ultrafast Tunable Photonic and Microwave Materials and Devices

Advanced Science, EarlyView.
Photonic time crystals (PTCs) are systems in which electromagnetic parameters are modulated periodically in time, producing momentum bandgaps via temporal scattering rather than spatial Bragg processes. This review examines the theoretical frameworks, modeling, and computational tools for time‐varying media, and summarizes experimental demonstrations ...
Ranjan Kumar Patel, Shriram Ramanathan, Ronald P. Jenkins, Michael J. Carter   +3 more
wiley   +1 more source

Interfacial Engineering by Metallic Ions and Organic Ammonium Ligand Passivation for Perovskite Solar Cells

Advanced Science, EarlyView.
A synergistic approach using phenethylammonium iodide (PEAI) and antimony iodide (SbI3) enhances the operational stabilities of perovskite solar cells by providing p‐type doping effect, suitable band energy alignment, reduced defect density, and minimized surface ion vacancies in the perovskite films.
Abraham Adenle, Purevlkham Myagmarsereejid, Selengesuren Suragtkhuu, Tuul Tsagaantsooj, Solongo Purevdorj, Eric Campbell, Sina Jamali, Oisín E. FitzGerald, Taylor J. Z. Stock, Thomas J. Macdonald, Joseph F. S. Fernando, Hui Jin, Paul E. Shaw, Michitoshi Hayashi, Batjargal Sainbileg, Chihaya Adachi, Yu Lin Zhong, Munkhbayar Batmunkh   +17 more
wiley   +1 more source