Quantitative evaluation for transient commutation of DC machine.
Setsuo Nakamura, Noboru Morita
openaire +2 more sources
An Implanted Tooth That Can Feel
To endow the implanted tooth with masticatory perception, herein we demonstrate that a 3D‐printed piezoelectric‐core/robust‐sheath implanted tooth can rebuild the sensing feedback, serving as “mechanoreceptors” in converting the mechanical chewing force to electrical signals, and up to brain through surrounding alveolar nerve system.
Yaru Cao +13 more
wiley +1 more source
A dual-mode dual-stator hybrid rotor synchronous and vernier machine for variable speed applications. [PDF]
Ali S, Ali Q, Munir HM, Zidan HA.
europepmc +1 more source
Leveraging Macrophage Metabolic Reprogramming for Enhanced Anti‐Tumor Immunity
Tumor‐associated macrophages (TAMs) are key regulators of the tumor microenvironment (TME), with their metabolic states playing a critical role in tumor progression or regression. This review summarizes current understanding of TAM metabolic plasticity alongside cutting‐edge bioengineering innovations, outlining a roadmap for transforming the ...
Zhiyun Liu +8 more
wiley +1 more source
Explainable machine-learning-based predictions of blood lead levels and school drinking water contamination among children: a case study in Washington DC. [PDF]
Darling D +4 more
europepmc +1 more source
The ER's continuous tubular network is maintained by ER‐shaping proteins whose mutation or dysregulation contributes to neurodegenerative diseases. Here, we show that ER morphology sets the speed of Ca2+ store replenishment between firing events. Disrupting ER continuity slows intra‐ER Ca2+ redistribution from extracellular refill (SOCE) sites, driving
Valentina Davi +13 more
wiley +1 more source
Correlation based feature importance analysis for improving machine learning stability predictions in hybrid PV systems. [PDF]
Swarnkar V +4 more
europepmc +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Assessment of a 40-year-old induction motor using hybrid diagnostic and AI-based predictive techniques. [PDF]
Butukuri KR +5 more
europepmc +1 more source
In colorectal cancer, high expression of the DNA repair protein EEPD1 correlates with immune exclusion and poor prognosis. This study demonstrates that EEPD1 depletion induces genomic instability, leading to cytosolic DNA accumulation and subsequent activation of the cGAS‐STING‐type I interferon pathway. This cascade remodels the tumor microenvironment
Liyun Huo +8 more
wiley +1 more source

