Results 121 to 130 of about 100,553 (288)

Hip prosthesis failure prediction through radiological deep sequence learning

International Journal of Medical Informatics
Existing deep learning studies for the automated detection of hip prosthesis failure only consider the last available radiographic image. However, using longitudinal data is thought to improve the prediction, by combining temporal and spatial components.
Francesco Masciulli, Anna Corti, Alessia Lindemann, Katia Chiappetta, Mattia Loppini, Valentina D.A. Corino   +5 more
openaire   +2 more sources

Ion‐Pair‐Tuned Ionogels for Broad‐Range Linear Pressure Sensing

Advanced Science, EarlyView.
Ionogels engineered through ion‐pair tuning extend the linear sensing range of capacitive pressure sensors. By balancing ionic mobility and polarizability within the polymer matrix, this approach mitigates dielectric saturation and maintains a stable pressure response across a broad operating range.
Hyeonseo Joo, Tianhao Yu, Yumin Dai, Seokkyoon Hong, Axel González Cornejo, Tristan Michael Long, Sang Mok Park, Pete S. Kollbaum, Edgar Bolívar‐Nieto, Young L. Kim, Dong Rip Kim, Chi Hwan Lee   +11 more
wiley   +1 more source

Peroxidase‐Mimicking Nanozymes for Rapid Detection of Infectious Diseases

Advanced Science, EarlyView.
Peroxidase‐mimicking nanozymes (PMNs) have emerged as robust and versatile materials for rapid infectious disease diagnostics. This review highlights the rational design and controlled synthesis of PMNs, summarizes key biomarkers relevant to infectious diseases, examines their integration into diverse rapid detection platforms, and highlights ...
Shikuan Shao, Victor Fernandez‐Gonzalez, Xiaochuan Wang, Blake Pylipow, Claudia Herrera, Xiaohu Xia   +5 more
wiley   +1 more source

Embodiment, Transparency and the Disclosiveness of Failure [PDF]

, 2012
In this paper, I want to argue that embodiment is characterised by a plasticity which entails that it can include both the biological limb and the ‘artificial’ tool, as evidenced by recent research in cognitive science.
May, Shaun
core   +1 more source

Neuromorphic Motor Control with Electrolyte‐Gated Organic Synaptic Transistors

Advanced Electronic Materials, EarlyView.
Electrolyte‐gated organic synaptic transistor (EGOST)‐based neuromorphic motor control systems integrate sensing, processing, and actuation by mimicking biological synapses. With advantages such as low power consumption, tunable synaptic plasticity, and mechanical flexibility, they are emerging as next‐generation core technologies for real‐time ...
Sung‐Hwan Kim, Ju‐Hyeok Yun, Hea‐Lim Park, Sin‐Hyung Lee   +3 more
wiley   +1 more source

Organic Thin‐Film Transistors for Neuromorphic Computing

Advanced Electronic Materials, EarlyView.
Organic thin‐film transistors (OTFTs) are reviewed for neuromorphic computing applications, highlighting their power‐efficient, and biological time‐scale operation. This article surveys OFET and OECT devices, compares them with memristors and CMOS, analyzes how fabrication parameters shape spike‐based metrics, proposes standardized characterization ...
Luke McCarthy, Mohan V. Jacob, Mostafa Rahimi Azghadi   +2 more
wiley   +1 more source

“Intrapericardial Approach” for Venous Outflow Reconstruction in Living‐Donor Liver Transplantation for Budd‐Chiari Syndrome: Surgical Techniques and LongTerm Outcomes

Annals of Gastroenterological Surgery, EarlyView.
Unlike deceased‐donor liver transplantation, living‐donor liver transplantation (LDLT) for Budd‐Chiari Syndrome (BCS) presents distinctive challenges in hepatic venous (HV)‐outflow reconstruction because diseased HV–inferior vena cava (IVC) cannot be entirely replaced with healthy donor vessels.
Koichiro Hata, Tetsuya Tajima, Satoshi Ogiso, Shinji Uemoto, Etsuro Hatano   +4 more
wiley   +1 more source

Toward Environmentally Friendly Hydrogel‐Based Flexible Intelligent Sensor Systems

Advanced Intelligent Discovery, EarlyView.
This review summarizes environmentally and biologically friendly hydrogel‐based flexible sensor systems focusing on physical, chemical, and physiological sensors. Furthermore, device concepts moving forward for the practical application are discussed about wireless integration, the interface between hydrogel and dry electronics, automatic data analysis
Sudipta Kumar Sarkar, Kuniharu Takei
wiley   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source