We report a single-step strategy to achieve heterogeneous, three-dimensional (3D) texturing of graphene and graphite by using a thermally activated shape-memory polymer substrate. Uniform arrays of graphene crumples can be created on the centimeter scale by controlling simple thermal processing parameters without compromising the electrical properties of graphene. In addition, we show the capability to selectively pattern crumples from otherwise flat graphene and graphene/graphite in a localized manner, which has not been previously achievable using other methods. Finally, we demonstrate 3D crumpled graphene field-effect transistor arrays in a solution-gated configuration. The presented approach has the capability to conform onto arbitrary 3D surfaces, a necessary prerequisite for adaptive electronics, and will enable facile large-scale topography engineering of not only graphene but also other thin-film and 2D materials in the future.
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http://dx.doi.org/10.1021/nl504612y | DOI Listing |
Obes Rev
January 2025
Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.
IntroductionTraditional obesity measures including body mass index, waist circumference, waist-to-hip ratio, and waist-to-height ratio have limitations. The primary objective of this study was to identify and review the validity of non-traditional obesity measures, using measures of total body fat as the reference standard, that have been used across multiple life stages. MethodsWe conducted a systematic review and searched MEDLINE, Embase, and PsycINFO.
View Article and Find Full Text PDFLangmuir
January 2025
Laboratory of the Intelligent Microsystem, Beijing Information Science and Technology University, Beijing 100192, China.
In this work, laser-induced graphene from kraft paper (kraft paper-LIG) was employed for the nonenzymatic electrochemical sensing of dopamine (DA). We reported the fabrication and characterization of a disposable, cost-effective, kraft-based electrochemical dopamine sensor with the sensing electrode consisting of laser-induced graphene derived from kraft paper. Kraft paper-LIG was formed by the femtosecond laser modification of kraft paper into a three-dimensional (3D) graphene arrangement.
View Article and Find Full Text PDFACS Nano
January 2025
School of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea.
Freestanding networked nanoparticle (NP) films hold substantial potential due to their high surface areas and customizable porosities. However, NPs with high surface energies and heterogeneous sizes or shapes present considerable challenges as they tend to aggregate, compromising their structural integrities. In this study, we report the scalable fabrication of ultrathin, bicontinuous, and densely packed carbon NP films via Pickering emulsion-mediated interfacial assembly.
View Article and Find Full Text PDFClin Biomech (Bristol)
January 2025
Rehabilitation Research Institute of Singapore, Nanyang Technological University, 11 Mandalay Rd, #14-03 Clinical Sciences Building, 308232, Singapore; Department of Orthopaedic Surgery, Woodlands Health, National Healthcare Group, 737628, Singapore.
Background: Stair climbing tests are pivotal when assessing physical performance in knee osteoarthritis patients, yet the biomechanical strategies that underpin poor stair climbing ability are heterogeneously reported. Single step tasks emulate a step-by-step gait pattern, an approach associated with knee pain when stair climbing. The objective of this study is to analyse the biomechanics and electromyography activity of both the leading and trailing limbs during single Step-up and Down tasks in knee osteoarthritis patients.
View Article and Find Full Text PDFBrief Bioinform
November 2024
Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
Spatially resolved transcriptomics (SRT) technologies facilitate the exploration of cell fates or states within tissue microenvironments. Despite these advances, the field has not adequately addressed the regulatory heterogeneity influenced by microenvironmental factors. Here, we propose a novel Spatially Aligned Graph Transfer Learning (SpaGTL), pretrained on a large-scale multi-modal SRT data of about 100 million cells/spots to enable inference of context-specific spatial gene regulatory networks across multiple scales in data-limited settings.
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