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New stable frictional materials based on metal-organic frameworks (MOFs) are greatly desired for applications in self-powered systems. This work reports an ionic MOF material with efficient charge separation mediated by charge induction. ZUT-iMOF-1(Cu) is chemically stable and its triboelectric output performance surpasses those of traditional MOF materials. The short-circuit current of the iMOF triboelectric nanogenerator is 73.79 μA at 5 Hz. The output performance remains stable over 50 000 cycles of continuous operation. The charge and power densities peak at 123.20 μC m and 3133.23 mW m. Owing to its high output performance, ZUT-iMOF-1(Cu) effectively prevents metal corrosion in cathodic-protection systems. Theoretical calculations show that increasing the charge-separation effect promotes the frictional electricity generation behaviour. This study provides research suggestions for ionic MOF frictional materials and will promote their application in self-powered electrochemical cathodic-protection systems.
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http://dx.doi.org/10.1039/d3dt02185h | DOI Listing |
Neural Netw
September 2025
School of Electronic Science and Engineering, Nanjing University, China. Electronic address:
The Segment Anything Model (SAM) is a cornerstone of image segmentation, demonstrating exceptional performance across various applications, particularly in autonomous driving and medical imaging, where precise segmentation is crucial. However, SAM is vulnerable to adversarial attacks that can significantly impair its functionality through minor input perturbations. Traditional techniques, such as FGSM and PGD, are often ineffective in segmentation tasks due to their reliance on global perturbations that overlook spatial nuances.
View Article and Find Full Text PDFACS Appl Mater Interfaces
September 2025
College of Chemistry and Chemical Engineering, Instrumental Analysis Center of Qingdao University, Qingdao Application Technology Innovation Center of Photoelectric Biosensing for Clinical Diagnosis and Treatment, Shandong Sino-Japanese Center for Collaborative Research of Carbon Nanomaterials, Qing
Silk fibroin (SF)-based flexible electronic/photonic materials have gained great attention in wearable devices and soft sensors. However, it remains challenging to understand the molecular interaction mechanisms and subsequently fabricate SF-based flexible materials that exhibit fluorescence, humidity sensitivity, and conductivity properties. In this study, by incorporating lanthanide europium ion (Eu), the design and fabrication of a flexible, fluorescent, and conductive SF membrane was proposed.
View Article and Find Full Text PDFJ Occup Environ Hyg
September 2025
Division of Biology, Chemistry, and Materials Science, Office of Science and Engineering Laboratories, US Food and Drug Administration (FDA), Oak Ridge, Tennessee.
This work assesses the current characterization framework of single-use personal protective equipment (PPE) per recognized consensus standards and presents a novel quantitative approach to refining characterization of barrier materials and predicting PPE performance. Scanning electron microscopy (SEM) and image analysis software (Diameter J) were used to examine the microscopic fiber and pore structure of filter layers of surgical N95 filtering facepiece respirators, before and after exposure to chemicals used in decontamination modalities (vaporized hydrogen peroxide or ozone). The effect of porosity on penetration was assessed by bacterial filtration efficiency (BFE) testing.
View Article and Find Full Text PDFJ Craniofac Surg
September 2025
University of Miami Miller School of Medicine, Miami, FL.
Outcomes were to compare the accuracy of 2 large-language models-GPT-4o and o3-Mini-against medical-student performance on otolaryngology-focused, USMLE-style multiple-choice questions. With permission from AMBOSS, we extracted 146 Step 2 CK questions tagged "Otolaryngology" and stratified them by AMBOSS difficulty (levels 1-5). Each item was presented verbatim to GPT-4o and o3-Mini through their official APIs; outputs were scored correct/incorrect.
View Article and Find Full Text PDFJ Pers Soc Psychol
September 2025
Department of Electrical and Computer Engineering, Rice University.
Predicting team dynamics from personality traits remains a fundamental challenge for the psychological sciences and team-based organizations. Understanding how team composition shapes team processes can significantly advance team-based research along with providing practical guidelines for team staffing and training. Although the input-process-output model has been a useful theoretical framework for studying these connections, the complex nature of team member interactions demands a more dynamic approach.
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