Results 171 to 180 of about 320,169 (317)

Slow unsteady gait in a population-based cohort: links to ventriculomegaly and INPH-related imaging markers. [PDF]

Fluids Barriers CNS
Lander J, Hansson W, Eklund SA, Qvarlander S, Wåhlin A, Traberg Kristensen B, Koskinen LD, Eklund A, Malm J.   +8 more
europepmc   +1 more source

Dexime: A Selectively Enzyme‐Degradable Hydrogel for Protein Therapeutic Release

Advanced Materials, EarlyView.
A dextrin‐oxime hydrogel (dexime) is produced using ketone or aldehyde modified dextrin and tetra‐oxyamine modified poly(ethylene glycol). The rheological and mechanical properties of dexime are tunable. Dexime is injectable, cytocompatible, hydrolytically stable, and selectively degradable by α‐amylase.
Quinton E. A. Sirianni, Nitzan Letko Khait, Adam Forman, Edward A. Armstrong, Karim Fouad, Molly S. Shoichet   +5 more
wiley   +1 more source

Deep self-attention reinforcement learning adaptive gait planning and control for lower limb rehabilitation exoskeletons robot. [PDF]

iScience
Zhang P, Li X, Wang B, Gao X, Liu T, Zhang B, Qin F, Zhang Y, Li S.   +8 more
europepmc   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Conductive Hydrogels for Exogenous Sensing and Cell Fate Control

Advanced Materials, EarlyView.
We engineer electrically conductive hydrogels by combining sulfated glycosaminoglycans with semiconducting polymers. These hydrogels bind bioactive proteins, including growth factors, whose release or retention can be modulated by low‐voltage stimulation. The hydrogels are also integrated as 3D channels in organic electrochemical transistors as part of
Teuku Fawzul Akbar, Carlos Alejandro Jimenez‐Rodriguez, Railia Biktimirova, Ilka Hermes, Thomas Kurth, My Duyen Pham, Mikhail Tsurkan, Jens Friedrichs, Francis L. C. Morgan, Hans Kleemann, Olga Guskova, Uwe Freudenberg, Peter Fratzl, Carsten Werner, Christoph Tondera, Ivan R. Minev   +15 more
wiley   +1 more source

Techniques for orientation independent gait analysis

, 2008
Gait recognition algorithms are being increasingly widely researched, however a common assumption is that the subject will be presented side on to the camera. In practice it may not be possible to capture data from this view, so a useful gait recognition
Boston, Robert Trevor
core  

The undulating tripod gait as a model of the locomotion of walking fish. [PDF]

Nat Commun
Ishida M, Berio F, Po T, Hosseini NK, Shubin NH, Di Santo V, Iida F.   +6 more
europepmc   +1 more source

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

Advanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung, Jiaxiang Yi, Hieu Nguyen‐Duc, Tien Nu Hoang Lo, Weili Zhao, Chaoqun Dong, Fabien Sorin, Baris Caglar, Lei Wei, Tung Nguyen‐Dang   +9 more
wiley   +1 more source

Meniscal Dominant Loaders During Simulated Gait: A Cadaveric Study in Human Knees. [PDF]

Orthop J Sports Med
Chen T, Chastain K, Prajapati M, Segal S, Parides MK, Warren RF, Maher SA.   +6 more
europepmc   +1 more source

Deep Learning Inverse Design of Phase‐Change Reconfigurable Terahertz Metadevices for Multidimensional Secure Communication

Advanced Materials, EarlyView.
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong, Xieyu Chen, Aarthy Nagarajan, Yi Yang, Zhihao Wang, Rui Yu, Chuang Zheng, Chunmei Ouyang, Xueqian Zhang, Tun Cao, Ranjan Singh, Zhen Tian   +11 more
wiley   +1 more source