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The applications of a single‐layer triboelectric nanogenerator (TENG) may be challenged by its lower output current, and a possible solution is to use three‐dimensional (3D) integrated multilayered TENGs. However, the most important point is to synchronize the outputs of all the TENGs so that the instantaneous output power can be maximized. Here, a multi‐layered stacked TENG is reported as a cost‐effective, simple, and robust approach for harvesting ambient vibration energy. With superior synchronization, the 3D‐TENG produces a short‐circuit current as high as 1.14 mA, and an open‐circuit voltage up to 303 V with a remarkable peak power density of 104.6 W m −2 . As a direct power source, it is capable of simultaneously lighting up 20 spot lights (0.6 W ea.) as well as a white G16 globe light. Furthermore, compared with the state‐of‐the‐art vibration energy harvesters, the 3D‐TENG has an extremely wide working bandwidth up to 36 Hz in low frequency range. In addition, with specific dimensional design, the 3D‐TENG is successfully equipped inside a ball with a diameter of 3 inches, using which 32 commercial LEDs are simultaneously lighted up via hand shaking, exhibiting great potential of scavenging the abundant but wasted kinetic energy when people play basketball, football, baseball, and so on.
Hardware fault-insertion test is a promising method to diagnose functional failures and target ''no trouble found (NTF)" problems in electronic systems. However, it is costly and impractical to equip all the potential fault sites with fault-insertion hardware. We present an optimization method to select the most effective outputs of a module where fault insertion logic must be placed to facilitate diagnosis. Faults inserted at the selected outputs are able to generate fault syndromes that are most similar to the errors produced by defects inside the module. This approach also ensures that the ambiguous fault candidates from other modules are maximally removed from the set of suspects. A fault syndrome is defined by the order of error occurrence at the observation points, and it is referred as an error flow. The similarity between two error flows is measured by the metric of edit distance. An integer linear programming model is used to maximize diagnostic effectiveness with a small number of fault-insertion points. Results on diagnostic accuracy for an open-source RISC highlight the effectiveness of the proposed method compared to a baseline random fault-insertion scheme.
Carbon spheres have been synthesized using a mixed-valent oxide-catalytic carbonization process in macroscopic quantities and at low cost. The technique uses natural gas and reusable catalysts and produces no environmental waste or pollution. The product is all solid spheres (∼210 nm) comprised of layered graphitic flakes. Microstructures of the spheres are studied by transmission electron microscopy. The sphere is believed to be nucleated from a pentagon carbon ring followed by a spiral shell growth. When the sphere grows larger, graphitic flakes are nucleated on the surface due to the formation of paired pentagonal−heptagonal (P−H) carbon rings. A combination of the P−H pairs with the hexagonal networks produces eight basic graphitic configurations for forming the sphere, and they have been observed experimentally.
Junctions and networks of SnO nanoribbons could be very useful in the fabrication of semiconducting nanosensors and optoelectronic devices. How can these structures be obtained and what are their properties are two questions that are answered here. The role that the Sn particles at the end of each ribbon have in the formation of the networks is also discussed. The Figure shows a double T-junction, which is part of a 2D network of SnO nanoribbons.
A superelasticity (shape memory) behavior has been discovered for the superlattice-structured ZnO nanohelices. By in situ manipulation using a nanoprobe, the nanohelix could elastically recover its shape after an extremely large axial stretching to a degree close to the theoretical limit, while suffering little residual plastic deformation. As a result, its spring constant can be increased continuously for up to 300−800%. A shape memory/recovery of the nanohelix was observed after subjecting to a buckling deformation. The superelastic deformation and fracture process of a nanohelix have been studied by transversely compressing under an AFM tip. A two-step mechanism is suggested for explaining the measured force-displacement curve. It is suggested that the small thickness and the superlattice structure of the nanohelix might be the keys for the observed superelasticity. The ZnO nanohelices may be a new category of shape-memory ceramic nanostructures, which could be of great interest for investigating nanoscale fracture process and application in MEMS and NEMS. The elastic recovery of the nanohelix after extremely large deformation makes it a potential structure for nanoscale elastic energy storage.
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTTransition of linear polymer dimension from .THETA. to collapsed regime. Intrinsic viscosityBenjamin Chu and Zhulun WangCite this: Macromolecules 1989, 22, 1, 380–383Publication Date (Print):January 1, 1989Publication History Published online1 May 2002Published inissue 1 January 1989https://pubs.acs.org/doi/10.1021/ma00191a070https://doi.org/10.1021/ma00191a070research-articleACS PublicationsRequest reuse permissionsArticle Views110Altmetric-Citations27LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts
Background: There is no consensus on the optimal use of perioperative antibiotics prophylaxis after kidney transplantation, but there is a common trend to limit the duration of antibiotic use worldwide. Metagenomic next-generation sequencing (mNGS) has emerged as a novel technology for pathogen detection in clinical practice due to its noninvasive, rapid, precise and high susceptibility to detect infectious pathogens. However, data are lacking on whether mNGS analyses could be used to detect pathogens and guide anti-infection regimens in kidney transplant donors and recipients. Methods: We conducted a retrospective study to review all clinic data of mNGS and traditional laboratory methods (TMs) for pathogen detection in kidney transplant recipients and their corresponding deceased donors from August 1, 2021 to October 30, 2022 in our center. Results: A total of 57 donors and 112 of their corresponding recipients were included. The antimicrobial strategy mainly depended on mNGS results combined with traditional pathogen culture and clinical conditions. The percentages of positive pathogen detected by mNGS in blood, urine, bronchoalveolar lavage fluid (BALF) and preservation fluids (PFs) were 50.9% (29/57), 35.1% (20/57), 84.2% (48/57) and 54.4% (31/57) respectively, and were 24.6% (14/57), 15.8% (9/57), 57.9% (33/57) and 14.1% (8/57) respectively when using TMs. mNGS could detected all of pathogens which were detected by TMs. However, samples with negative TMs testing can be additionally detected as positive by mNGS (15/43 in blood, 11/48 in urine, 15/24 in BALF and 23/49 in PFs). Drug resistance genes were detected in 9 donors by mNGS,which were consistent with 6 donors by TMs. There was only one case of donor-derived infection in this study. Conclusion: This study showed that it is effective to combine mNGS with traditional pathogen detection methods and clinical features to develop optimal perioperative antimicrobial management strategies for deceased donor kidney transplantation. Keywords: kidney transplantation, metagenomic next-generation sequencing, donor-derived infection, perioperative infection, antimicrobial strategy