Results 111 to 120 of about 6,172 (266)

Advanced Materials for Biologics Delivery to Brain Tumors

Advanced Materials, EarlyView.
Material innovation is central to unlocking the therapeutic potential of biologics against many central nervous system diseases, including brain cancer. By engineering carriers with controlled transport, targeting, and release properties, advanced materials can overcome the blood–brain barrier and tumor microenvironment, improving the delivery of ...
Yuran Feng, Yuxue Cao, Maria Kavallaris, Taskeen Janjua, Amirali Popat   +4 more
wiley   +1 more source

Emotional and sleep problems and their associated factors among specialized operation personnel on surface vessels. [PDF]

BMC Psychol
Liu G, Zhang Y.
europepmc   +1 more source

Toward Pore‐Engineered 3D‐Printed Materials for Sorption Water Harvesting, Interfacial Evaporation, and Radiative Cooling

Advanced Materials, EarlyView.
Water harvesting, radiative cooling, and interfacial solar evaporation are fundamentally governed by coupled heat, mass, and light transport processes. These processes are mediated by pore architecture, including pore size, connectivity, and hierarchical organization.
Dejan J. Trajkovski, Higgins M. Wilson, Abdallah Y. M. Ali, Jiaxing Xu, Ruzhu Wang, Primož Poredoš   +5 more
wiley   +1 more source

Challenges and perspectives of non-invasive neurostimulation for cognitive enhancement. [PDF]

Am J Transl Res
Wang C, Wang M, Wang J, Dong W, Wang K, Ji G, Wang Z, Xu S.   +7 more
europepmc   +1 more source

Descriptors to Dynamics: A Materials and Device Perspective on in‐Materio Physical Reservoir Computing for Neuromorphic Edge Intelligence

Advanced Materials, EarlyView.
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh, Alif Syafiq Kamarol Zaman, Muzhen Xu, Yuki Usami, Saptarshi Das, Hirofumi Tanaka   +5 more
wiley   +1 more source

A Multifunctional Ionograsper Enabling Ion‐Redistribution Proximity Sensing and Structural‐Reconfiguration‐Driven Bidirectional Actuation

Advanced Materials, EarlyView.
A solid‐state ionic actuator integrates sensing, actuation, and memory within one material. A brief UV pulse induces long‐lasting deformation via coupled network rearrangement, dehydration, and rehydration, while ionic redistribution enables self‐powered sensing, supporting multifunctional, energy‐efficient soft robotic functions without continuous ...
Yong Min Kim, Jin Han Kwon, Hyeon Woo Yang, Sungryong Kim, Gyeong Rok Lee, Hong Chul Moon   +5 more
wiley   +1 more source

Infectious threats during the Portuguese exploration of West Africa in the 15^th and 16^th centuries. [PDF]

Infez Med
Matta S, Morgado MSM, Donghi L, Braidotti L, Gobbo Y, Di Bella S, Simonetti O.   +6 more
europepmc   +1 more source

Inverse Design of Nanoparticulate Materials

Advanced Materials, EarlyView.
Inverse design shifts nanomaterial development from empirical trial‐and‐error to predictive model‐driven strategies. It can rely on knowledge‐based, data‐based, or hybrid process and property functions. This perspective article provides a practical framework for applying inverse design based on instructive examples. It discusses which modeling approach
Nabi Etienne Traoré, Annika Mauch, Michelle Berthold, Lukas Pflug, Wolfgang Peukert, Nicolas Vogel   +5 more
wiley   +1 more source

Tracing Taonga Trajectories: A Methodological Framework for Indigenous Heritage Mapping. [PDF]

J R Soc N Z
Ferrari de Aquino Klemm M, Milne C, Brown I, Ringham S, Nelson WA.   +4 more
europepmc   +1 more source

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

Advanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng, Min Hong, Zhiquan Zeng, Chuanyu Liu, Qian Wang, Melissa Jane Meadowcroft, Vlad Badilita, Carlos Miguel Costa, Senentxu Lanceros‐Méndez, Ying Li, Chenyao Ma, Weibo Gong, Surendra Kumar Martha, Aloysius Soon, Piao Ma, Di Zhang, Teguh Ariyanto, Sudaryanto, Hiroshi Kakinuma, Jie Zhao, Jiayu Peng, Pengfei Ou, Jun Lu, Shin‐ichi Orimo, Hao Li   +24 more
wiley   +1 more source