Results 181 to 190 of about 7,342 (257)

Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing

Advanced Science, EarlyView.
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale, Marie Celine Lefevre, Alessio Carmignani, Maria Cristina Ceccarelli, Matteo Battaglini, Attilio Marino, Gianni Ciofani   +6 more
wiley   +1 more source

Robotic systems in internet of things: addressing security challenges through threat modeling and penetration testing. [PDF]

Sci Rep
War MR, Sayeed A, Wani SA, Lone A, Mir MS, Gulzar Y.   +5 more
europepmc   +1 more source

A Fentanyl‐Responsive Microneedle Patch for Harm Reduction

Advanced Science, EarlyView.
A fentanyl‐responsive microneedle patch is developed as a self‐regulating overdose intervention that releases naloxone upon detecting fentanyl. The system employs aptamer‐functionalized nanoparticles embedded in a swellable polymer matrix to enable rapid, on‐demand drug delivery through the skin.
Penghui Zhao, Zerui Zhou, Tyler Wolter, Huanqing Niu, Yuanzhi Bian, Chixia Tian, Chun Xu, Chenming Zhang, Juhong Chen, Matthew W. Buczynski, Wujin Sun   +10 more
wiley   +1 more source

Exploration and practice of AI-enabled smart caregiver-free ward with traditional Chinese medicine characteristics: a case study based on the Guangming branch of Shenzhen Traditional Chinese Medicine Hospital. [PDF]

Front Public Health
Peng S, Gao Y, Hong Y, Ren X, Tang X, Ding X, Li J, Wang J, Guo D.   +8 more
europepmc   +1 more source

Superatom Distortion Induces Triferroicity and Spin Splitting in Two‐Dimensional Antiferromagnets

Advanced Science, EarlyView.
The incorporation of superatoms into a 2D square lattice induces symmetry breaking, thereby enabling concurrent coupling among magnetism, ferroelectricity, and ferroelasticity. This strategy achieves triferroic behavior—characterized by spin‐split antiferromagnetic ground states—and offers a viable pathway toward energy‐efficient spintronic devices ...
Zhen Gao, Fengxian Ma, Guoping Gao, Weizhen Meng, Ying Liu, Yandong Ma, Yalong Jiao   +6 more
wiley   +1 more source

Ferroelectric Devices for In‐Memory and In‐Sensor Computing

Advanced Science, EarlyView.
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang, Ronghuan Xie, Qiang Cao, Shishen Yan, Xiaolin Wang, Limei Zheng   +5 more
wiley   +1 more source

Secure quantum-resilient smart city communication networks using QSC-Net with MF-MBO-based energy-aware task scheduling. [PDF]

Sci Rep
Reddy NR, Dalton GA, Swathi K, Subrahmanyam DVSS, G LK, Nagaraju G.   +5 more
europepmc   +1 more source

Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices

Advanced Science, EarlyView.
Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen, Wei Zeng, Zherui Zhao, JiYu Zhao, Ziyan Huang, Zhuo Chen, Kui Zhou, Guanglong Ding, Su‐Ting Han, Ye Zhou   +9 more
wiley   +1 more source

Pharos: a mobile GIS application for network assessment and ground-truth mapping to support mHealth study design in low-resource settings. [PDF]

Int J Geogr Inf Sci
Moore CP, Robbins NN, Odhiambo G, Andiego K, Odhiambo M, Rawago F, Musuva R, Odiere M, Wright D, Scherr T.   +9 more
europepmc   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source