Results 161 to 170 of about 17,263 (255)

Stretchable Microelectrode Arrays with Microneedles for Reliable Electrophysiological Recording of Human Heart and Brain Organoids

Advanced Science, EarlyView.
A stretchable 3D microelectrode array with microneedles (3D MN‐sMEA) enables stable, minimally destructive electrophysiological monitoring of 3D organoids. The wafer‐level stud‐bump bonding process facilitates high‐fidelity recordings of heart and cerebral organoids.
Eunyoung Jang, Saewoon Shin, Seul‐Gi Lee, Kiup Kim, Yoojeong Kim, Jun Sun, Il‐Joo Cho, Joseph A. Gogos, Jong‐Chan Park, C‐Yoon Kim, Hyunjoo J. Lee   +10 more
wiley   +1 more source

A Millimeter‐Scale Implantable Magneto–Mechano–Electric Transducer Based on BTO Piezoelectric Ceramics for Remote Wireless Electrical Stimulation of Injured Sciatic Nerves

Advanced Science, EarlyView.
We report a fully wireless, circuit‐free neural stimulator built on a millimetric magneto‐mechano‐electric (MME) cantilever transducer (3 × 10 × 5 mm) with a barium titanate (BTO) piezoelectric ceramic core. Under low‐frequency alternating magnetic fields, the MME cantilever mechanically oscillates, inducing stress on the BTO element and thereby ...
Yijing Wang, Jingyu Tian, Zhe Xu, Cuiling Zhang, Jingen Wu, Ming Liu, Zhilu Ye, Xiaohui Zhang   +7 more
wiley   +1 more source

Empirical phenotyping of joint patient-care data supports hypothesis-driven investigation of mechanical ventilation consequences. [PDF]

Sci Rep
Stroh JN, Sottile PD, Wang Y, Smith BJ, Bennett TD, Moss M, Albers DJ.   +6 more
europepmc   +1 more source

Quantifying Structure–Property Relationships in Ferroelectric Polymers Toward High‐Performance Soft Robots

Advanced Science, EarlyView.
Here, we establish a quantitative relationship between the electrostriction coefficient (Q33) of FRPs and their interplanar spacing (d): Q33 = 100(Δd/d0+1) × Q33(s). Using this model, we fabricated high‐performance soft robots, including a biomimetic crawler (with a speed of 27 cm/s) and a butterfly (with a thrust‐to‐weight ratio of 0.71).
Ba Qin, Guotong Ding, Wanli Xing, Xiaoyu Yang, Wenxuan Li, Zhemin Chen, Shaobo Tan, Xiaoyong Wei, Zhicheng Zhang   +8 more
wiley   +1 more source

Reliable Single-Trial Detection of Saccade-Related Lambda Responses with Independent Component Analysis. [PDF]

eNeuro
Suhaili ISB, Toth B, Nagy Z, Juhasz Z.
europepmc   +1 more source

Synergistic Enhancement of Electrical‐Thermal Properties in KH550/G‐POSS Functionalized BN/Epoxy Composites for High‐Frequency Transformer Insulation

Advanced Science, EarlyView.
A BN@G‐POSS/EP nanocomposite is developed for high‐frequency transformer insulation in power electronic transformers. Through synergistic interface engineering, it simultaneously enhances thermal conductivity, reduces viscosity, and improves electro‐thermal stability.
Jun Jiang, Shaojie Luo, Dezhi Cui, Zeya Huang, Shuai Jiang, Renli Fu, Yuan Wang   +6 more
wiley   +1 more source

A Shapelet Transform-Based Method for Structural Damage Identification: A Case Study on a Wooden Truss Bridge. [PDF]

Sensors (Basel)
Gan K, Ye Y, Nie F, Ng CT, Chen L.
europepmc   +1 more source

P Waveform Similarity among the Garo Mine Blasts

Zisin (Journal of the Seismological Society of Japan. 2nd ser.), 1993
openaire   +2 more sources

Electromagnetic Radiation Stimulated Learning in Perovskite Nickelates

Advanced Science, EarlyView.
ABSTRACT Biological plasticity refers to the ability of synapses to strengthen or weaken over time. These adaptive properties play a fundamental role in learning and memory, spanning many orders of magnitude in timescales. Short‐term plasticity (STP) arises from rapid correlative activity, while long‐term plasticity (LTP) is governed by slower ...
Ranjan Kumar Patel, Kabir Zama, Matthew Smart, Ramya Eathirajan, Ivan Seskar, Narayan Mandayam, Guangxin Ni, Martin Mönnigmann, Shriram Ramanathan   +8 more
wiley   +1 more source

Reconfigurable Selector‐Only Memory (SOM) for Scalable Neuromorphic Computing

Advanced Science, EarlyView.
ABSTRACT Highly scalable reconfigurable neuromorphic devices are critical for addressing continual‐learning challenges in artificial intelligence. However, the scalability of existing reconfigurable devices is severely constrained by limited operating margins and insufficient process maturity.
Jin‐Yu Wen, Chuan‐Qi Yi, Ya‐Ru Zhang, Bin‐Hao Wang, Zi‐Xuan Liu, Chun‐Yu Zhou, Hao Tong, Xiang‐Shui Miao   +7 more
wiley   +1 more source