This paper researches the current talent cultivation mode under the new ecology of IoT professional group by analyzing the real demand of China-ASEAN for composite talents of IoT professional group, ...discussing the influence of digital intelligence on the cultivation of new engineering talents, and designing the mechanism framework of “ASEAN+Digital Intelligence”. The mechanism studied can effectively solve the problems of poor integration of talent cultivation, lack of industry-driven curriculum system and single type of output on the supply side of teaching. It has certain guidance and reference significance for the new mode of talent cultivation in the new engineering professional group in digital intelligence.
The
Insight
-Hard X-ray Modulation Telescope (
Insight
-HXMT) is a broadband X-ray and γ-ray (1-3000 keV) astronomy satellite. One of its three main telescopes is the High Energy X-ray telescope ...(HE). The main detector plane of HE comprises 18 NaI(Tl)/CsI(Na) phoswich detectors, where NaI(Tl) is used as the primary detector to measure ~ 20–250 keV photons incident from the field of view (FOV) defined by collimators, and CsI(Na) is used as the active shielding detector to NaI(Tl) by pulse shape discrimination. Additionally, CsI(Na) is used as an omnidirectional γ-ray monitor. The HE collimators have a diverse FOV, i.e. 1.1°×5.7° (15 units), 5.7°×5.7° (2 units), and blocked (1 unit). Therefore, the combined FOV of HE is approximately 5.7°×5.7°. Each HE detector has a diameter of 190 mm resulting in a total geometrical area of approximately 5100 cm
2
, and the energy resolution is ~15% at 60 keV. For each recorded X-ray event by HE, the timing accuracy is less than 10 μs and the dead-time is less than 10 μs. HE is used for observing spectra and temporal variability of X-ray sources in the 20–250 keV band either by pointing observations for known sources or scanning observations to unveil new sources. Additionally, HE is used for monitoring the γ-ray burst in 0.2-3 MeV band. This paper not only presents the design and performance of HE instruments but also reports results of the on-ground calibration experiments.
An aza‐BODIPY dye 1 bearing two hydrophobic fan‐shaped tridodecyloxybenzamide pendants through 1,2,3‐triazole linkages was synthesized by a click reaction and characterized. 1H NMR studies indicated ...that dye 1 exhibited variable conformations through intramolecular H‐bonding interaction, which is beneficial for the polymorphism of aggregation. The thermodynamic, structural, and kinetic aspect of the supramolecular polymerization of dye 1 was investigated by UV/Vis absorption spectroscopy, IR spectroscopy, AFM, TEM, and SEM. Biphasic aggregation pathways of dye 1, leads to the formation of off‐pathway, metastable Agg. I and thermodynamically stable Agg. II with distinct H‐aggregation spectra and nanoscale morphology. The living manner of the supramolecular polymerization of dye 1 was demonstrated in seeded polymerization experiments with temperature‐modulated successive cooling–heating cycles.
aza‐BODIPY comes alive! Living supramolecular polymerization was demonstrated by aza‐BODIPY 1 bearing hydrogen‐bond accepting triazole units that can be facilely constructed through click chemistry. The H‐bonding unit of amide‐linked triazole in dye 1 could be employed as a general motif for encoding conformational information and developing polymorphic supramolecular systems.
Abstract
Composite materials are widely used in the design and manufacture of modern civil aircraft fuselage structures. Some large airliners already have full-size composite fuselages, which reduced ...the weight of the fuselage structure, but the problem of reinforcing the opening of the composite fuselage is also very important. In this paper, the design of medium and large scale open reinforcement structures in composite fuselages is focused. The force characteristics of passenger doors, cargo doors, landing gear hatch openings, and the reinforcement structure form are elaborated, and based on the current research status at home and abroad, the future development of composite fuselage opening reinforcement design is prospected.
water stability of warm mix asphalt mixture based on foamed asphalt is the key evaluation index affecting its road performance. The moisture content in the production process of foamed asphalt is ...unfavorable to the water stability of warm mix asphalt mixture. In order to improve its water stability, through immersion Marshall test and freeze-thaw splitting test, taking foaming effect, asphalt temperature, foaming water consumption and polymer fiber content as influencing factors, the control variable method is used to study and analyze the influence of factors on the water stability of warm mix asphalt mixture. The test results show that the foaming effect of asphalt, asphalt temperature, foaming water consumption and fiber content are the direct factors affecting the water stability of warm mix asphalt mixture. According to the importance analysis of random forest variables, foaming water consumption, foaming effect and asphalt temperature are the most important variables, while fiber content is the least. Taking the asphalt used in this paper as an example, it is suggested to improve the water stability of warm mix asphalt mixture with the combination of the best foaming effect, asphalt temperature 155 °C, foaming water consumption 2% and fiber content 0.3%.
Isogeometric analysis (IGA) has been developed for more than a decade. However, the usage of IGA is by far limited mostly within academic community. The lack of automatic or semi-automatic software ...platform of IGA is one of the main bottlenecks that prevent IGA from wide applications in industry. In this paper, we present a comprehensive IGA software platform that allows IGA to be incorporated into existing commercial software such as Abaqus, heading one step further to bridge the gap between design and analysis. The proposed IGA software framework takes advantage of user-defined elements in Abaqus, linking with general. IGES files from commercial computer aided design packages, Rhino specific files and mesh data. The platform includes all the necessary modules of the design-through-analysis pipeline: pre-processing, surface and volumetric T-spline construction, analysis and post-processing. Several practical application problems are studied to demonstrate the capability of the proposed software platform.
Addition of small amount of Nb can strongly retard the ferrite growth kinetics. The origin has been attributed to the solute drag effect (SDE) by Nb segregation at the migrating ferrite/austenite ...interface. However, due to limitation of characterization techniques, the relations between elemental segregation, SDE and interface velocity have not been quantitatively clarified yet. Meanwhile, the strong affinity between Nb and C atoms can induce carbide precipitation at the interface, namely interphase precipitation, which may influence the Nb segregation behavior and make the issue even more complicated. Therefore, in this study, the interface information including amount of Nb segregation, energy dissipation, NbC precipitates and interface velocity in Fe-0.08C-(0.035, 0.061)Nb (mass%) model alloys is quantitatively investigated. It reveals that the energy dissipation at the migrating ferrite/austenite interface decreases with longer holding time or higher transformation temperature. The Nb atoms prefer to segregate at the non K-S interface rather than the near K-S interface. Amount of Nb segregation at the non K-S interface increases with longer time, while raising bulk Nb content or lowering transformation temperature does not lead to a notable increment of segregation. The relations between Nb segregation, energy dissipation, and interface velocity can be well reproduced by the SDE model with optimized parameters (i.e., segregation energy, interface thickness and trans-interface diffusivity). Occurrence of NbC interphase precipitation affects the transformation kinetics indirectly by weakening the SDE via consumption of Nb solutes in ferrite. In contrast, their pinning effect plays a marginal role.
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This article presents an enhanced version of our previous work, hybrid nonuniform subdivision (HNUS) surfaces, to achieve optimal convergence rates in isogeometric analysis (IGA). We introduce a ...parameter λ (14<λ<1) to control the rate of shrinkage of irregular regions, so the method is called tuned hybrid nonuniform subdivision (tHNUS). Thus, HUNS is a special case of tHNUS when λ=12. While introducing λ in hybrid subdivision significantly complicates the theoretical proof of G1 continuity around extraordinary vertices, reducing λ can recover optimal convergence rates when tHNUS functions are used as a basis in IGA. From the geometric point of view, tHNUS retains comparable shape quality as HNUS under nonuniform parameterization. Its basis functions are refinable and the geometric mapping stays invariant during refinement. Moreover, we prove that a tHNUS surface is globally G1‐continuous. From the analysis point of view, tHNUS basis functions form a nonnegative partition of unity, are globally linearly independent, and their spline spaces are nested. In the end, we numerically demonstrate that tHNUS basis functions can achieve optimal convergence rates for the Poisson's problem with nonuniform parameterization around extraordinary vertices.
A black hole X-ray binary produces hard X-ray radiation from its corona and disk when the accreting matter heats up. During an outburst, the disk and corona co-evolves with each other. However, such ...an evolution is still unclear in both its geometry and dynamics. Here we report the unusual decrease of the reflection fraction in MAXI J1820+070, which is the ratio of the coronal intensity illuminating the disk to the coronal intensity reaching the observer, as the corona is observed to contrast during the decay phase. We postulate a jet-like corona model, in which the corona can be understood as a standing shock where the material flowing through. In this dynamical scenario, the decrease of the reflection fraction is a signature of the corona's bulk velocity. Our findings suggest that as the corona is observed to get closer to the black hole, the coronal material might be outflowing faster.
•Investigate the predictability of investor attention.•Various investor attention proxies are considered.•The Long Short-term Memory Networks (LSTM) is employed.•LSTM model employing online investor ...attention proxies outperforms other models.•These results should be noticeable to quantitative investment.
In this paper, we use Long Short-Term Memory Networks (LSTM) to predict stock price movement. Compared with other Artificial Neural Networks (ANNs), LSTM is more suitable to process the non-linear, non-stationary, and complicated financial time series. To improve the prediction accuracy, we employ investor attention proxies as the supplements of market variables, e.g., price, volume, and other technique indexes. The empirical findings mainly show that the LSTM model employing online investor attention proxies outperforms other models with the best prediction accuracy and rational time cost. Our results should be noticeable to investors, who are interested in quantitative investment.
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