Results 141 to 150 of about 5,911 (260)

Early and progressive retinal microglial changes in APP^NL-F/NL-F mouse model of Alzheimer's disease revealed by an automated image analysis software. [PDF]

Front Aging Neurosci
Sánchez-Puebla L, López-Cuenca I, Sánchez-Puebla MA, Granados A, Ramírez AI, Llorens J, Saido TC, Saito T, Nieto-Vaquero C, Moro MA, Moreno V, Ramírez JM, de Hoz R.   +12 more
europepmc   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

A high-resolution dataset of mouse brain vasculature for deep learning-based reconstruction. [PDF]

Front Neuroinform
Du X, Li S, Wang X, Shen Y, Quan T.
europepmc   +1 more source

Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics

Advanced Materials, EarlyView.
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair, Hrisheekesh Thachoth Chandran, Karl Leo, Hans Kleemann   +3 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Trunk Injection for Arthropod Pest Management in Woody Plants: A Comparative Perspective Under Greenhouse and Field Conditions. [PDF]

Plants (Basel)
Paraschiv M.
europepmc   +1 more source

Mechanism‐Driven Nanoformulations for Cognitive Impairment Induced by Intermittent Hypoxia and Periodontitis

Advanced Materials, EarlyView.
Clinically, intermittent hypoxia (IH) is often accompanied by periodontitis, which accelerates cognitive impairment induced by IH. Novel Janus mesoporous gold‐silica nanoformulations (RVG‐Au&mSiO2‐TPP‐VB) enable intranasal delivery, achieve hierarchical targeting to neuronal mitochondria, effectively scavenge reactive oxygen species, inhibit the HIF‐1α/
Kai‐Run Zhang, Tianbao Zhu, An‐Qi Liu, Jia‐Jia Deng, Ya‐Li Han, Sheng‐Cai Qi, Xue Liu, Tian‐Yi Jiang, Ming‐Rui Zhai, Yu‐Ying He, Xiu‐Juan Li, Hong‐Ting Da, Rui Xu, Xiaomin Li, Jun Gao, Yue‐Hua Liu   +15 more
wiley   +1 more source

Eagle's syndrome: two approaches using VITOM 3D exoscope for an underestimated pathology. [PDF]

J Surg Case Rep
Crudo F, Galli J, Paludetti G, Rigante M.   +3 more
europepmc   +1 more source

A Geometrically Transient Platform for Bioelectronic Implants

Advanced Materials, EarlyView.
Minimally invasive bioelectronic implants often compromise performance for smaller sizes. To resolve this optimization dilemma, a wireless bioelectronic implant with a transient geometry is introduced (MiFi). The origami‐inspired device miniaturizes up to sixfold for syringe insertion and autonomously unfolds post‐implantation.
Selin Olenik, John D. Goodwin, Atharv Naik, Philip Coatsworth, Ioi Chit Cheung, Farbod Amirghasemi, Anies Sohi, Ehsan Abedi, Tayeb Tadlaoui, Maral P. S. Mousavi, Andriy S. Kozlov, Victoria Salem, Andrew S. Cowburn, Firat Guder   +13 more
wiley   +1 more source

Accurate 3D recording: Integrating ground-based LiDAR data and 3D segmentation network to extract 3D traits and analyze genetics in wheat populations. [PDF]

Plant Phenomics
Zhou H, Qin B, Guo C, Zang J, Wang A, Li Y, Pei Z, Sun Q, Zheng Q, Li Q, Jiang D, Chen J.   +11 more
europepmc   +1 more source