4,218 publications from this institution
Carbon Nanotube Arrays with Strong Shear Binding-On and Easy Normal Lifting-Off Liangti Qu, Liming Dai,* Morley Stone, Zhenhai Xia, Zhong Lin Wang* *To whom correspondence should be addressed. E-mail: ldai@udayton.edu (L.D.); zlwang@gatech.edu (Z.L.W.) Published 10 October 2008, Science 322, 238 (2008) DOI: 10.1126/science.1159503 This PDF file includes: Materials and Methods Figs. S1 to S18 References
A hybrid generator integrating a fan-shaped triboelectric nanogenerator (FR-TENG) with an all-inorganic thermoelectric generator (iThEG) has been proposed.
Abstract The synthesis of carbon tubes is vitally important in carbon research and applications. In this paper, spiral carbon tubes are grown for the first time by a mixed-valent oxide-catalytic carbonization process. The carbon tubes are highly twisted and have many growth-induced nodes. The carbon tubes are nucleated on spherical carbon cores, created by unclosed polyhedron carbon shells containing pentagonal carbon rings. The conical growth of graphitic layers along the tube is the result of a temporary shortage of the supply of pentagons. The pairing of pentagons and heptagons is the key to nucleating the nodes. Our experiments prove that the fraction and nucleation rates of pentagons, hexagons and heptagons determine the surface geometry of the product.
A configuration of misfit dislocation dipoles is observed in a Ga0.5In0.5P heterostructure grown by solid-source molecular-beam epitaxy on GaAs. The dipole dislocations are mostly of 60° type, separated by ∼3.5 nm. The dislocations are not produced by conventional lattice mismatch, rather, they could be the result of lateral compositional modulation in the Ga0.5In0.5P epilayer.
Since late 2021, the highly transmissible SARS-CoV-2 Omicron variant has driven a new surge of infections across the world. We used a case-ascertained study to determine the features of household transmission of SARS-CoV-2 Omicron variant in Shanghai, China. We collected detailed information on 323 pediatric cases and their 951 household members, all received consecutively intensive RT-PCR testing. We estimated the transmission parameters. Both secondary infection attack rates (SARI) and secondary clinical attack rates (SARC) among adult household contacts were computed, through which the transmission heterogeneities in infectivity and susceptibility were characterized and the vaccine effectiveness were estimated. The mean incubation period and serial interval of Omicron variant were estimated to be 4.6±2.1 days and 3.9±3.7 days. The overall SARI and SARC among adult household contacts were 77.11% (95% confidence interval [CI]: 73.58%-80.63%) and 67.03% (63.09%-70.98%). We found higher household susceptibility in females, while infectivity was not significantly different in primary cases by age, sex, vaccination status and clinical severity. Full vaccination and booster vaccination of inactivated vaccines were 14.8% (5.8%-22.9%) and 18.9% (9.0%-27.7%) effective against Omicron infection and 21.5% (10.4%-31.2%) and 24.3% (12.3%-34.7%) effective against symptomatic disease. Overall, we found high household transmission during the Omicron wave in Shanghai due to asymptomatic and pre-symptomatic transmission in the context of city-wide lockdown, indicating the importance of early detection and timely isolation of SARS-CoV-2 infections and quarantine of close contacts. Marginal effectiveness of inactivated vaccines against Omicron infection poses great challenge for prevention and control of the SARS-CoV-2 Omicron variant.
Hardware fault insertion is a promising method for system reliability assessment and fault isolation. It provides feedback on the fault tolerance of a large system, creates artificial faulty scenarios that can be used as reference points for fault diagnosis, and leads to a quality diagnostic program. Optimization of fault insertion location is critical for accelerating the assessment of system reliability and constructing a complete knowledge base for fault diagnosis. In this work, we construct a pin-level fault model that is able to effectively mimic the errors (effects) caused by physical defects within the component. A simulation framework and optimization techniques are proposed to select a minimum subset of output pins that can represent as many physical defects as possible. The optimization results provide guidelines on the fault insertion locations and the appropriate fault types for insertion. In addition, three intrinsic characteristics of output pins, including testability number, fan-in size, and transition counts, are analyzed. The effectiveness of the proposed model is evaluated in terms of impact on system response and error-detection latency. Experimental results are presented for OpenCore benchmarks.