Showing papers by "Beijing University of Technology published in 2023"
TL;DR: In this article , a multiscale convolutional capsule network (MCCN) is proposed to learn discriminative features from the attitude data collected by the attitude sensor.
14 citations
TL;DR: In this paper , a review of the recent research advances in chemical admixtures using polysaccharide, polyphenol biomass and biorefineries, including their preparation methods, application effects and environmental impact assessment, is presented.
7 citations
TL;DR: In this article , the authors employ two different approaches of a local stress on cell apical surface via an Arg-Gly-Asp)-coated magnetic bead and whole cell deformation at cell basal surface via uniaxial or biaaxial deformation of a fibronectin-coated flexible polydimethylsiloxane substrate.
7 citations
TL;DR: In this paper , the authors explored a strategy of using a heterogeneous grain size structure and a reduced stacking fault energy in a CoCrFeNiMn FCC high entropy alloy to overcome the limitations of the strength-ductility trade-off.
7 citations
TL;DR: In this article , the authors provided some new laminar burning velocity data and investigated the premixed combustion characteristics of NH3/C3H8/air mixtures in detail.
6 citations
TL;DR: In this article , a porous high entropy alloy (HEA) coating was prepared on a steel surface by vacuum sintering, and the coating was then used as a transition layer during dissimilar laser joining of Al to steel.
Abstract: A porous high entropy alloy (HEA) coating was prepared on a steel surface by vacuum sintering. The coating was then used as a transition layer during dissimilar laser joining of Al to steel. Compared with the uncoated laser joints, the liquid alloy spread and infiltrated into the porous structure, the contact angle of the weld reduced from 65.8° to 56.7°, and the brazed width increased from 5.1 mm to 5.9 mm, which improved the wettability and spreadability of the molten filler wire on the substrate. In the case of the uncoated steel, the fusion zone/steel interfacial microstructure consisted of laminated Al7·2Fe1·8Si and Fe(Al,Si)3, while it changed to a composite-like structure containing a soft HEA skeleton and hard IMCs which included Al7·2Fe1·8Si, Al3Ni, and (Al,Si)2Cr. In addition, due to the sluggish diffusion effect of HEAs, a layer of gradient nanocrystalline composed of Al7·2Fe1·8Si was generated, which significantly strengthened the dissimilar laser joints with improvements in both the fracture load (∼26.5%) and the displacement (∼101.8%). The fracture mode changed from brittle to ductile failure when the porous HEA coating was applied, with fracture propagating through the HEA skeleton. This work provides a novel solution for the strengthening of hard-to-join dissimilar combinations.
5 citations
TL;DR: In this article , a mini-dCas13X-mediated RNA adenine base editing (mxABE) strategy was used to treat nonsense mutation-related monogenic diseases via A-to-G editing in a genetically humanized mouse model of Duchenne muscular dystrophy (DMD).
Abstract: Approximately 10% of monogenic diseases are caused by nonsense point mutations that generate premature termination codons (PTCs), resulting in a truncated protein and nonsense-mediated decay of the mutant mRNAs. Here, we demonstrate a mini-dCas13X–mediated RNA adenine base editing (mxABE) strategy to treat nonsense mutation–related monogenic diseases via A-to-G editing in a genetically humanized mouse model of Duchenne muscular dystrophy (DMD). Initially, we identified a nonsense point mutation (c.4174C>T, p.Gln1392*) in the DMD gene of a patient and validated its pathogenicity in humanized mice. In this model, mxABE packaged in a single adeno-associated virus (AAV) reached A-to-G editing rates up to 84% in vivo, at least 20-fold greater than rates reported in previous studies using other RNA editing modalities. Furthermore, mxABE restored robust expression of dystrophin protein to over 50% of WT levels by enabling PTC read-through in multiple muscle tissues. Importantly, systemic delivery of mxABE by AAV also rescued dystrophin expression to averages of 37%, 6%, and 54% of WT levels in the diaphragm, tibialis anterior, and heart muscle, respectively, as well as rescued muscle function. Our data strongly suggest that mxABE-based strategies may be a viable new treatment modality for DMD and other monogenic diseases.
4 citations
TL;DR: In this paper , a smart photothermal nanosystem (PBM) based on FDA-approved Prussian blue (PB) nanoparticles, doped with Mn (III) to suppress the tumor debris left by incomplete ablation was presented.
4 citations
TL;DR: In this paper , a carbon film was constructed on the surface of carbon fibers using magnetron sputtering to improve the surface defects and mechanical properties of carbon fiber, and the effect of the modification process on the dispersion of the tensile breaking strength of the carbon fiber was analyzed using the Weibull distribution.
4 citations
3 citations
TL;DR: In this article , a nonlinear modeling framework for the multi-scale influence analysis of the organic Rankine cycle (ORC) system under road conditions is presented. But, due to the variability of high-temperature waste heat source and the strong coupling correlation of operating parameters, the operation characteristics of the ORC system show evident time-varying characteristics.
TL;DR: In this article , the authors reviewed the research progress in improving the corrosion wear resistance of high chromium cast iron from various aspects such as primary carbide refinement, heat treatment, deep cooling treatment and alloying, etc.
Abstract: Hypereutectic High Chromium Cast Iron (HHCCI) is a new type of corrosion-wear-resistant material developed from ordinary high chromium cast iron by increasing the chromium and carbon content and is often used in abrasive environments where wear and corrosion interact. The corrosion wear resistance of the HHCCI is related to the number, size, shape and distribution of carbides and the microstructure of the matrix. This paper reviews the research progress in improving the corrosion wear resistance of HHCCI from various aspects such as primary carbide refinement, heat treatment, deep cooling treatment and alloying, etc. Among the methods of refining primary carbides are modification, semi-solid treatment and current pulse treatment. In addition, we also analyze the potential of Cr, V, Nb, Mo, Mn, W, Ni, Cu, Si, N and other alloying elements to improve the corrosion wear resistance of HHCCI. The mechanism for improving the corrosion wear resistance of HHCCI is also explored in depth and research contents worthy of attention are proposed to further improve the corrosion wear resistance of HHCCI. In the future, the author believes that modification + alloying + heat treatment is the most potential application method to improve the corrosion wear resistance of HHCCI. The corrosion wear resistance of HHCCI can be further improved by refining the primary carbide (such as adding rare earth, Ti and other modified elements) + heat treatment (with cryogenic treatment) to improve the strength + alloying (such as adding low-cost, high-potential alloy elements such as N and Si) to improve the corrosion wear resistance of the matrix.
TL;DR: In this paper , a synergistic multi-objective optimization mixed nonlinear dynamic modeling approach is proposed by deeply integrating data selection, feature dimensionality reduction, integrated system, neural network modeling mechanism, ensemble learning mechanism and synergistic multioriental optimization.
TL;DR: In this paper , a novel simulation characterization to visualize the localized surface plasmonic resonance (LSPR) effect to boost hydrogen evolution from solar water splitting is proposed. But the simulation is limited to AM 1.5 illumination with its LSPR effect based on particle size.
01 Jan 2023
TL;DR: In this paper , the authors investigated the effect of the position of the gain fiber on the peak power and the pulse width of a dissipative soliton resonance pulse (DSR) generated from a mode-locked fiber laser.
Abstract: Single pulse energy and pulse width can be theoretically increased indefinitely without pulse-breaking in a dissipative soliton resonance pulse (DSR) generated from a mode-locked fiber laser when the peak power is keeping in a certain value. But in some applications, both high pulse energy and high peak power are needed in one single pulse. To improve the peak power of the DSR pulse, the characteristics of DSR pulses were investigated and found that the position of the gain fiber is a factor to influence the peak power and the pulse width. Here, we demonstrate a thulium-doped mode-locked fiber laser operating in the DSR regime with a nonlinear amplifying loop mirror (NALM). When changing the position of the gain fiber, the peak power of DSR pulse could be improved from 0.38 W to 1.42 W with the same pump power. This approach provides a method for increasing the pulse energy and efficiency in mode locked fiber lasers, which may meet some special application.
TL;DR: In this paper , the bio-desulfurization performance was improved by enriching acidophilic mixotrophic sulfur-oxidizing bacteria (SOB) by adding organics under extremely acidic conditions.
TL;DR: In this article , a novel energy-absorbing multifunctional lattice structure with phononic bandgap was presented by topology and parameter optimization, and the lattice structures were assembled with dodecagonal staggered arrangements to avoid the deformation interference among adjacent cells.
Abstract: Lattice structure can realize excellent multifunctional characteristics because of its huge design space, and the cellular configuration directly affects the lattice structural performance and lightweight. A novel energy-absorbing multifunctional lattice structure with phononic bandgap is presented by topology and parameter optimization in this paper. First, the two-dimensional (2D) cellular configuration is lightweight designed by using independent continuous mapping (ICM) topology optimization method. The 2D cell is reconstructed by geometric parameters and rotated into a three-dimensional (3D) cell by using chiral shape to achieve bandgap. Subsequently, the surrogated model with energy absorption as the object and first-order natural frequency as the constraint is established to optimize a parametric 3D cell based on the Response Surface Methodology (RSM). Finally, the lattice structures are assembled with dodecagonal staggered arrangements to avoid the deformation interference among the adjacent cells. In addition, the lattice structural energy absorption and bandgap characteristics are analyzed and discussed. Compared to Kelvin lattice structure, the optimal lattice structure shows significant improvement in energy absorption efficiency. Besides, the proposed design also performs well in damping characteristics of the high-frequency and wide-bandgap. The lattice structural optimization design framework has great meaning to achieve the equipment structural lightweight and multi-function in the aerospace field.
TL;DR: CANET as discussed by the authors proposes a hierarchical CNN-Attention network, which combines CNN and the attention mechanism to form a CA block that focuses on local spatio-temporal feature extraction and uses Equalization Loss v2 (EQL v2) to balance the learning attention on minority classes.
TL;DR: In this article , the advances of molecular probes and nanoprobes in image-guided diagnosis and treatment of GBM are reviewed, and the design principle, application, and advantages of each probe are enumerated in detail.
Abstract: Glioblastoma (GBM) is the most aggressive primary brain tumor with poor prognosis and high recurrence rate. The presence of the blood–brain barrier (BBB) prevents diagnostic and therapeutic drugs from penetrating and working in GBM. In traditional surgical treatment, it is difficult to completely distinguish the boundary between tumor and surrounding normal tissue, resulting in incomplete resection of tumor. Therefore, the diagnosis and treatment of GBM are very challenging. Several molecular probes and nanoprobes have been reported to successfully penetrate the BBB, selectively target and accumulate in GBM to achieve in situ imaging of brain tumors, thus achieving accurate diagnosis and treatment of orthotopic or non-orthotopic GBM. This paper reviews the advances of molecular probes and nanoprobes in image-guided diagnosis and treatment of GBM. The design principle, application, and advantages of each probe are enumerated in detail. Finally, the prospects and potential challenges of probes in the diagnosis and treatment of GBM are discussed with a view to further promote the study and application of novel imaging probes in GBM.
TL;DR: The effect of TFP on the retrogradation property and aroma profile changes of tteok during storage was investigated in this paper , which indicated that TFP significantly increased the stability to thermal and mechanical shearing of starch, decreased short-term retrogradation, and had no significant effect on the amylopectin chain length.
TL;DR: In this paper , the authors established a comprehensive understanding of the crucial relationships between the intrinsic VP defects and the charge dynamics together with the photocatalytic performance in red phosphorus (RP) and showed that VP-induced deep charge trapping effect is revealed to lead to a severe loss of active electrons during the H+ reduction reaction, resulting in an inferior PHE performance.
TL;DR: In this paper , the hydrophobicity of ZIF-8 was demonstrated by measuring the equilibrium contact angle (115.8 ± 1.2°) of the substrate at molecular level.
TL;DR: In this article , the authors proposed an adjustment strategy to vary the start of injection (SOI) of HDI for affecting the engine combustion process, which prominently promoted the flame kernel formation, shortens CA0-90, reduces CoVPmax, and enables the engine to reach approximately 36% BTE.
TL;DR: In this paper , the authors show that firms selected by investment banks as comparable peers are more than twice as likely to later become takeover targets themselves compared to matched control firms, and that a portfolio that longs peers and shorts controls earns up to 15.6$\%$ alpha annually.
Abstract: Abstract Using novel merger valuation data, we show that firms selected by investment banks as “comparable peers” are more than twice as likely to later become takeover targets themselves compared to matched control firms. Peer firms not subsequently acquired attract more institutional ownership and analyst coverage, deliver strong operating performance, reduce investments, and increase payouts. Investors are inattentive, though, to peer identification at the time of merger filings’ public disclosure. A portfolio that longs peers and shorts controls earns up to 15.6$\%$ alpha annually, which mainly comes from the long leg and is difficult to explain by short-sale constraints.
TL;DR: In this paper , two methods for calculating the leakage area of spark plug cavities are proposed and compared, and the definition method based on leakage direction is more consistent with the experimental results.
TL;DR: In this article , the Siamese Pruned ResNet Attention (SiamPRA) network is proposed to reduce the number of computations by sparse training and pruning.
Abstract: The visual navigation system is an important module in intelligent unmanned aerial vehicle (UAV) systems as it helps to guide them autonomously by tracking visual targets. In recent years, tracking algorithms based on Siamese networks have demonstrated outstanding performance. However, their application to UAV systems has been challenging due to the limited resources available in such systems.This paper proposes a simple and efficient tracking network called the Siamese Pruned ResNet Attention (SiamPRA) network and applied to embedded platforms that can be deployed on UAVs. SiamPRA is base on the SiamFC network and incorporates ResNet-24 as its backbone. It also utilizes the spatial-channel attention mechanism, thereby achieving higher accuracy while reducing the number of computations. Further, sparse training and pruning are used to reduce the size of the model while maintaining high precision. Experimental results on the challenging benchmarks VOT2018, UAV123 and OTB100 show that SiamPRA has a higher accuracy and lower complexity than other tracking networks.
TL;DR: In this article , a hierarchical system consisting of three layers is established to realize the conversion from human natural language to robot motion sequence in complex tasks, which integrates our knowledge base with Deep Q-learning.
Abstract: In the cooperation between humans and robots, it is essential for robots to translate natural human language into continuous action sequences to complete complex collaborative tasks. In this article, a hierarchical system is established to realize the conversion from human natural language to robot motion sequence in complex tasks. The system consists of three layers: task layer (top layer), semantic motion layer (middle layer) and motion primitive layer (bottom layer). When humans tell robots tasks through natural language, they first input language sentences at the task level; Then, by combining oral description with visual cues, the sentence is translated into motion language in the middle layer, which consists of the predicate object structure and the six-dimensional state (position and posture) of the object. Among them, the sequence of predicate object structure uses words to describe complex tasks at semantic level, and the 6D state of the object mainly includes the initial state before operation and the target state after operation. In addition, we propose a novel search algorithm of motion sequences which integrates our knowledge base with Deep Q-learning. Furthermore, the new knowledge base is established which is used to encode various characteristics of motions, objects and relationships. To verify the effectiveness of this method, we set up an actual robot experimental platform (consisting of aubo-i5 manipulator and robotiq mechanical claw) for typical complex operation experiments.
TL;DR: In this article , a new type of controllable radial aerostatic bearing is designed by combining piezoelectric ceramics, which use the inverse picolectric effect to squeeze the air film to produce corresponding control force, and the radial unbalanced vibration of the spindle is suppressed.
Abstract: The lubricating medium of the aerostatic spindle is gas, with relatively low rigidity, which is easy to cause rotor offset and additional vibration under the action of external load, thus affecting the processing accuracy of the spindle. To solve the problem of unbalanced vibration of the spindle, a new type of controllable radial aerostatic bearing is designed by combining piezoelectric ceramics, which use the inverse piezoelectric effect of piezoelectric ceramics to squeeze the air film to produce corresponding control force, and the radial unbalanced vibration of the spindle is suppressed. A bearing–rotor–piezoelectric ceramic coupling model was established, and the control method of feedforward combined with feedback was used to reduce the hysteresis characteristics of piezoelectric ceramics. On this basis, the sliding mode controller of the entire system, and through research, it is found that the sliding mode controller based on the extended observer has the best vibration suppression effect compared with other sliding mode controllers in the article; this research results can improve the rotation accuracy of the spindle system and the machining accuracy of ultra-precision machine tools.