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New multi-stimuli responsive materials are required in smart systems applications to overcome current limitations in remote actuation and to achieve versatile operation in inaccessible environments. The incorporation of detection mechanisms to quantify in real time the response to external stimuli is crucial for the development of automated systems. Here, we present the first wireless opto-magnetic actuator with mechanochromic response. The device, based on a nanostructured-iron (Fe) layer transferred onto suspended elastomer structures with a periodically corrugated backside, can be actuated both optically (in a broadband spectral range) and magnetically. The combined opto-magnetic stimulus can accurately modulate the mechanical response (strength and direction) of the device. The structural coloration generated at the corrugated back surface enables to easily map and quantify, in 2D, the mechanical deflections by analyzing in real time the hue changes of images taken using a conventional RGB smartphone camera, with a precision of 0.05°. We demonstrate the independent and synergetic optical and magnetic actuation and detection with a detection limit of 1.8 mW·cm and 0.34 mT, respectively. The simple operation, versatility, and cost-effectiveness of the wireless multiactuated device with highly sensitive mechanochromic mapping paves the way to a new generation of wirelessly controlled smart systems.
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http://dx.doi.org/10.1021/acsami.1c11710 | DOI Listing |
J Orthop Res
September 2025
Department of Kinesiology, College of Health Sciences, University of Rhode Island, Kingston, Rhode Island, USA.
Arthroplasty surgery is a common and successful end-stage intervention for advanced osteoarthritis. Yet, postoperative outcomes vary significantly among patients, leading to a plethora of measures and associated measurement approaches to monitor patient outcomes. Traditional approaches rely heavily on patient-reported outcome measures (PROMs), which are widely used, but often lack sensitivity to detect function changes (e.
View Article and Find Full Text PDFPLoS One
September 2025
Electrical Engineering Department, Faculty of Engineering, Minia University, Minia, Egypt.
With the increasing demand for wind energy in the electric power generation industry, optimizing robust and efficient control strategies is essential for a wind energy conversion system (WECS). In this regard, this study proposes a novel hybrid control strategy for wind power systems directly coupled to a permanent-magnet synchronous generator (PMSG). The contribution of this work is to propose a control strategy design based on a combination of the nonlinear Backstepping approach for system stabilization according to Lyapunov theory and the application of artificial neural network to maximize energy harvesting regardless of wind speed fluctuations.
View Article and Find Full Text PDFPLoS One
September 2025
Department of Smart Manufacturing, Industrial Perception and Intelligent Manufacturing Equipment Engineering Research Center of Jiangsu Province, Nanjing Vocational University of Industry Technology, Nanjing, Jiangsu, China.
In the field of quality control, metal surface defect detection is an important yet challenging task. Although YOLO models perform well in most object detection scenarios, metal surface images under operational conditions often exhibit coexisting high-frequency noise components and spectral aliasing background textures, and defect targets typically exhibit characteristics such as small scale, weak contrast, and multi-class coexistence, posing challenges for automatic defect detection systems. To address this, we introduce concepts including wavelet decomposition, cross-attention, and U-shaped dilated convolution into the YOLO framework, proposing the YOLOv11-WBD model to enhance feature representation capability and semantic mining effectiveness.
View Article and Find Full Text PDFLangmuir
September 2025
Department of Light Chemical Engineering, School of Textiles Science and Engineering; Key Laboratory of Special Protective, Ministry of Education; Jiangnan University, Wuxi 214122, P. R. China.
Polymerizable deep eutectic solvents (PDES) have recently emerged as a class of solvent-free ionically conductive elastomers and are considered among the most feasible candidates for next-generation ionotronic devices. However, the fundamental challenge persists in synergistically combining high mechanical strength, robust adhesion, reliable self-healing capacity, and effective antimicrobial performance within a unified material system capable of fulfilling the rigorous operational demands of next-generation ionotronic devices across multifunctional applications. Inspired by the hierarchical structure of spider silk, HCAG eutectogels composed of acrylic acid (AA), 2-hydroxyethyl acrylate (HEA), and choline chloride (ChCl) were successfully synthesized via a one-step photopolymerization method.
View Article and Find Full Text PDFJ Am Chem Soc
September 2025
College of Chemistry and Molecular Sciences, Department of Gastrointestinal Surgery, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan 430072, P. R. China.
The in-depth integration of gene regulation with protein modulation can enhance cellular information processing, yet it is significantly constrained by ineffective and complex protein-to-gene transduction strategies. Herein, we developed a simple protease-guided autocatalytic gene silencing platform named iPAD (intelligent peptide-programmed deoxyribonuclease) that converts the protease recognition events into versatile DNA readout signals by rationally designing a native protease-responsive cationic peptide (PP) to efficiently modulate the DNAzyme (Dz) activity. Without requiring additional chemical modifications, the multifunctional PP regulator consists simply of one cell-specific targeting peptide segment and two cationic peptide segments isolated by one protease-specific peptide substrate.
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