Results 121 to 130 of about 57,449 (221)

Leading the Pack: Next‐Generation Batteries for Humanoid Robotics

Advanced Science, EarlyView.
Humanoid robots challenge traditional and anticipated energy technologies. Humanoid robot benchmarks of runtimes and energy demands for industry applications inform humanoid robot battery design choices at the cell level, pack level, and system level.
Matthew Bergschneider, Jiaqi Ke, Jin Luo, Laisuo Su, Thomas Campbell, Yue Zhou, Kyeongjae Cho   +6 more
wiley   +1 more source

Adaptive Action Chunking for Robotic Imitation Learning. [PDF]

Biomimetics (Basel)
Wen Q, Zhu H, Zhang Y, Xia L, Gao B, Li Z.   +5 more
europepmc   +1 more source

The Plant‐to‐Plant Circular Strategy: Coupling Photodegradation and Phytoremediation With Plant‐Based Nanomaterials for Plastic Degradation

Advanced Science, EarlyView.
Plant‐based nanomaterials derived from alfalfa serve as dual‐function catalysts, coupling photodegradation and phytoremediation to degrade polyethylene under UV‐A light and in soil. The nanomaterials work synergistically with alfalfa and soil microbes, achieving efficient plastic breakdown without trophic transfer.
Haoran Liu, Lena Ciric, Yuheng Wang, Ziru Pei, Manpreet Bhatti   +4 more
wiley   +1 more source

Optimizing Budget Allocation for Digital Health Investments Using Metaheuristic Algorithms: A Cost-Impact Analysis for Public Health Systems. [PDF]

Healthcare (Basel)
Dayi F, Erdogdu A, Esmer Y, Yildiz F, Ganji F.   +4 more
europepmc   +1 more source

A Novel Pak1 Activator Ameliorates ER Stress for HFpEF Therapy

Advanced Science, EarlyView.
Chronic metabolic stress is a major contributor to HFpEF progression. Under prolonged metabolic stress, Pak1 activity becomes impaired, contributing to disrupted ER proteostasis, cardiomyocyte apoptosis, fibrosis, and diastolic dysfunction. Mechanistically, Pak1 overexpression activates the ERK1/2–MNK1–eIF4E signaling axis, promotes translational ...
Honglin Xu, Hongyuan Zhang, Tayyiba Azam, Susanne S. Hille, Yingjuan Liu, Min Zi, Jiaqing Lang, He Yu, Yujia Cao, Bernard D. Keavney, Tamer M. A. Mohamed, Jessica M. Miller, Riham R. E. Abouleisa, Ming Xu, Elizabeth J. Cartwright, Oliver J. Müller, Ming Lei, Xin Wang   +17 more
wiley   +1 more source

Hearing loss and healthcare expenditures in the United States: evidence of a public health market failure. [PDF]

Front Public Health
Arbel Y, Arbel Y, Kerner N, Kerner O.
europepmc   +1 more source

Trustworthy Multimodal Attention Framework for Creep Rupture Life Prediction Under Data‐Scarce Conditions: A Case Study on IN718

Advanced Science, EarlyView.
An attention‐based multimodal deep learning framework is developed to predict the creep life of Ni‐based superalloys by fusing processing parameters with microstructural micrographs. The model achieves high accuracy (R2 = 0.92), aligns with metallurgical principles by capturing δ‐phase influence, and incorporates uncertainty quantification, offering a ...
Haopeng Lv, Dayong Wu, Ziyuan Rao, Qian Wang, Haikun Ma, Jie Kang, Wang Li, Huicong Dong, Yandong Wang, Zhinan Yang, Ru Su   +10 more
wiley   +1 more source

Predictive modeling of corporate financial risk and its implications for health economics and public health efficiency. [PDF]

Front Public Health
Zhi W, Kang Y.
europepmc   +1 more source

BraMARS: An Interpretable Histopathology‐Driven Deep Learning Model for Brain Metastasis Risk Stratification in Surgically Resected Limited‐Stage SCLC

Advanced Science, EarlyView.
This study presents BraMARS, an explainable deep learning model that estimates future brain metastasis risk in surgically resected limited‐stage small‐cell lung cancer using routine H&E‐stained whole‐slide images. By linking model‐attributed spatial histopathology with clinical outcomes and proteomic programs, BraMARS provides a biologically ...
Zijian Yang, Taolue Wang, Shilong Liu, Zicheng Zhang, Yibo Zhang, Fan Yang, Bo Yu, Shuaishuai Gao, Yu Chen, Lin Yang, Meng Zhou   +10 more
wiley   +1 more source

Research on Reinforcement Learning-Based Autonomous Navigation and Obstacle Avoidance Methods for AGVs in Unknown Hospital Environments. [PDF]

Sensors (Basel)
Luo T, Hu J, Zhang B, Zhang X, Luo S.
europepmc   +1 more source