A novel method is reported of producing nanofibers/nanotubes (measuring from tens of nanometres to several hundreds of nanometres) containing living cells, mechanically and with ultrahigh speed and ...at low cost. High-pressure gas was used to extrude viscous precursors through a spray with micron-sized holes into air. The sprayed micro-sized droplets had high velocity and were continuously elongated into uniform nanofibers/nanotubes in a temperature field during their flight. We demonstrated that the throughput of this spinning method to fabricate nanofibers/nanotubes from an individual setup could be as high as 10 g s
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. A possible mechanism for this extrusion method was proposed based on flow mechanics and the experimental results. Additionally, it was shown that the new method could be used to directly prepare nanofibers containing living cells. It was demonstrated that the living cells with high survival rate can be used in bioengineering.
A novel method is reported of producing nanofibers and nanotubes with ultrahigh speed and at low cost. The new methods can directly produce nanofibers and nanotubes containing living cells, which can be used in bioengineering.
As the development of Internet of Things (IoTs) since 1980s, Wireless sensor networks (WSNs) become more important and as well the node localization of WSNs. In this paper, a new node localization ...algorithm called IHBA-RDV-Hop is proposed. In IHBA, dynamic adjustment mechanism including counterbalance and mating is introduced to improve the population diversity and convergence. In counterbalance phase, individuals are grouped and compete with each other to eliminate similar individuals from the population. In mating phase, variation is used to get better offspring. Both the two methods are aim to improve population diversity and increase algorithm convergence ability respectively. In experimental stage, compare to PSODV-Hop, ISSADV-Hop and IGWODV-Hop, the average location error of IHAB-RDV-Hop is reduced by 56.1%,58.3% and 33.2% respectively.
The SCADA-driven fault diagnosis algorithm has been extensively researched and applied. However, the highly imbalanced distribution between normal and fault data poses significant challenges in ...establishing high-performance fault diagnosis models. To achieve accurate fault classification on imbalanced data, this paper proposes a fault diagnosis algorithm framework that combines the SMOTE oversampling method with domain adaptive transfer learning. Firstly, the sliding window sampling technique is used to transform data into two-dimensional spatiotemporal window data. Subsequently, SMOTE oversampling is applied, preserving and enriching the complete temporal fault features. To address the issue of noise introduced by the oversampling algorithm, domain adaptive transfer learning is introduced to extract invariant features between the original and oversampled data, effectively filtering out noise introduced by the oversampling. Experimental results from a real SCADA data demonstrate that the proposed method achieves model training on highly imbalanced data, accurately identifies various fault types, and precisely discerns the corresponding time windows of fault occurrences. The diagnostic performance significantly outperforms models obtained using commonly used oversampling methods applied to handle data imbalance.
Damping capacity of in situ Al/TiB2 composite with four kinds of particulate/Al interface was investigated. The Mixed-Salt reaction method was employed to fabricate Al/TiB2 composite. Al-Ti master ...alloy and pure Mg ingot were used to form different particulate/matrix interfaces. Experimental results indicate that the damping capacity of Al/5wt.% TiB2 composite with Ti and Mg co-existing is much higher than that of Al/5wt.% TiB2 composite. The main effect of these two elements is the formation of the complex compound on particulate/Al interface, which resulted in the damping improvement of Al/TiB2 composite.
A positive anomaly natural gamma-ray deposition has been identified at the bottom of the Lopingian (Late Permian) coal-bearing series (Longtan Formation) in Panxian, western Guizhou, China. It is ...divided into two subunits, the lower Ka1 and the upper Ka2 layers. Mineralogical and geochemical analyses and petrological investigations were conducted on the drilling core samples of such sedimentary series in order to understand the distribution characteristics of radioactive elements (Th and U) and determine the formation mechanism. The results showed that the samples were predominantly composed of clay minerals (illite, berthierine, and kaolinite; contributing on average 80.53 wt%) with minor and rare contents of anatase and calcite, marcasite, rutile, pyrite, diaspore, and boehmite, respectively. The Al2O3/TiO2 and SiO2/Al2O3 ratios in the Ka2 layer were lower than those in the Ka1 layer, and exhibited good negative and weak positive correlations with the natural gamma-ray magnitude in the Ka2 and Ka1 layers, respectively. The high matching degree of radioactive elements Th and U with the natural gamma-ray magnitude indicates that the formation of highly radioactive features is closely related to the enrichment of radioactive elements Th and U. In particular, Th is mainly concentrated in clay minerals represented by berthierine, whereas U is primarily hosted by organic matter. The provenance of the anomalous natural gamma-ray deposition mainly includes weathering basalts and syndepositional falling acidic volcanic ash, wherein the abnormally high radioactive elements contents (Th, U) are attributed to acidic volcanic ash deposition during the Late Permian Emeishan mantle plume activity. Further, the abnormal vertical redistribution of some trace elements (REE-Y-Nb) may be caused by leaching.
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•Th is enriched in clay minerals, abnormally enriched in berthierine.•Provenance of Ka1 and Ka2 layers are volcanic ash deposition and terrigenous clastic.•The provenance of Th and U elements is related to volcanic ash.•REE-Y-Nb-Ta's enrichment is associated with volcanic ash and leaching.
As for the retrofit design problem of the drive axle housing of an imported electric scraper, UG software is used to establish the finite-element model of the drive axle housing, and the model ...credibility is verified through the static strength bench test. This paper uses NX Nastran advanced simulation module for structural analysis of the axle housing, which, firstly, establishes in turn the models of each subcase under the action of each single load, then combines the cases into four typical kinds of dangerous cases under the multiple loads' action. The results show: the axle housing has enough stiffness and good dynamic performance, but the strength is not enough on emergency brake and the rough-road abrupt break. Based on the AltairHyperOpt method, the axle housing is optimized, and the results show: the stress amplitude is reduced by 12.65% in the most dangerous case of the rough-road abrupt break, which satisfies the strength requirement; the total weight of the axle housing is reduced by 13.14%, which realizes lightweight.
Developing multi‐functional green conductive materials is instrumental in reducing electronic waste. In article 1800069, Pietro Cataldi, Ilker S. Bayer and co‐workers use crop ingredients and ...graphene to produce flexible conductors using the bio‐advantaged approach. The conductive nanocomposite can be regarded as “plant‐e‐tronics” with promising applications such as electromagnetic interference shielding, wireless antennas and photovoltaics.
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