In this article,by studying the Bernstein degrees and Goldie rank polynomials,we es-tablish a comparison between the irreducible representations of G=GL_(n)(C)possessing the minimal Gelfand-Kirillov dimension and thos...
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In this article,by studying the Bernstein degrees and Goldie rank polynomials,we es-tablish a comparison between the irreducible representations of G=GL_(n)(C)possessing the minimal Gelfand-Kirillov dimension and those induced from finite-dimensional representations of the maximal parabolic subgroup of G of type(n-1,1).We give the transition matrix between the two bases for the corresponding coherent families.
Bi-based metal-organic frameworks(Bi-MOFs)as efficient catalysts for the CO_(2)electroreduction reaction(Crr)have been extensively *** has been established that Bi-MOFs usually undergo in-situ transformation during th...
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Bi-based metal-organic frameworks(Bi-MOFs)as efficient catalysts for the CO_(2)electroreduction reaction(Crr)have been extensively *** has been established that Bi-MOFs usually undergo in-situ transformation during the Crr,ultimately converting into Bi ***,the effect of the MOF precursors on the structure of the derived Bi catalysts and consequently on their electrocatalytic properties has not been clearly *** this work,we prepared four variants of a novel Bi-MOF with different morphologies anddimensions,and explored the effects of the precursors on the resulting Bi catalysts and their Crr performance.A precursor-dependent in-situ transformation and its profound impact on tuning the CO_(2)-formate FE towards~100%have been *** the four examined variants,Bi-MOF with nanocube-like morphology(BiMOF-NC)is transformed into thin and flat Bi nanosheets capable of successfully enveloping the fibers of carbon paper(working electrode),while the other three variants with increased size anddodecahedral/octahedral geometry have been transformed into Bi nanoflowers,exposing a fair portion of the carbon fibers in the working ***,the transformation rate was found to be dependent on the precursors and BiMOF-NC exhibited the highest rate of reconstruction compared with other ***,the Bi catalyst derived from BiMOF-NC delivered a selectivity for the formate product of nearly 100%at-1.2 V(*** hydrogen electrode(rHE))and of over 95%in a wide potential range due to efficient suppression of the competing hydrogen evolution reaction(HEr)over carbon *** in-situ transformed BiMOFNC also demonstrated equivalently high formate selectivity at large current densities(≥100 mA cm^(-2))in flow cell reactors as that in H-type reactors,underscoring its potential for industrial *** work highlights the necessity of finely tuning the structural features of MOF precursors to achieve optim
Electrochemical reduction of CO_(2)(CO_(2)rr)has become a research hot spot in recent years in the context of carbon *** is one of the most promising products obtained by electrochemical reduction of CO_(2) due to its...
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Electrochemical reduction of CO_(2)(CO_(2)rr)has become a research hot spot in recent years in the context of carbon *** is one of the most promising products obtained by electrochemical reduction of CO_(2) due to its high energy value as estimated by market price per energy unit and wide application in chemical *** is the most abundant renewable resource in the natural *** biomass oxidative conversion with CO_(2)rrdriven by renewable electricity would well achieve carbon *** this work,we comprehensively reviewed the current research progress on CO_(2)rr to produce HCOOH and coupled system for conversion of biomass and its derivatives to produce value-added ***-and Bi-based electrocatalysts are discussed for CO_(2)rr with regards to the structure of the catalyst andreaction ***-oxidation reactions of biomass derived sugars,alcohols,furan aldehydes and even polymeric components of lignocellulose were reviewed as alternatives to replace oxygen evolution reaction(OEr)in the conventional electrolysis *** was recommended that to further improve the efficiency of the coupled system,future work should be focused on the development of more efficient and stable catalysts,careful design of the electrolytic cells for improving the mass transfer anddevelopment of environment-friendly processes forrecovering the formed formate and biomass oxidation products.
Tungsten(W),as a plasma-facing material,is subjected to high fluence plasma,resulting in both radiation damage anddeuterium(d)*** study explores the blistering behavior andd supersaturated layers in both pre-damaged...
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Tungsten(W),as a plasma-facing material,is subjected to high fluence plasma,resulting in both radiation damage anddeuterium(d)*** study explores the blistering behavior andd supersaturated layers in both pre-damaged and undamaged W *** achieve a uniform damage profile similar to neutron irradiation,carbon(C)ions with multiple energies and angles were *** samples were further irradiated with low-energy d ions under two fluences at temperatures from~380 to 640 *** various experimental techniques,we found that pre-damaged W samples can effectively suppress the formation of blistering and lower the threshold temperature at which the surface remains free of *** also observed the prominent d supersaturated peaks within the depth of 20 nm in both pre-damaged and undamaged ***,a close correlation between blistering and the d supersaturation was *** results suggest that neutron irradiation in the fusion reactors could increase the critical d concentration for blistering,while a greaterdepth of damage facilitated the inwarddiffusion of d,thereby reducing the d concentration gradient and alleviating surface blistering.
Accurately recommending candidate news to users is a basic challenge of personalized news recommendation *** methods are usually difficult to learn and acquire complex semantic information in news texts,resulting in u...
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Accurately recommending candidate news to users is a basic challenge of personalized news recommendation *** methods are usually difficult to learn and acquire complex semantic information in news texts,resulting in unsatisfactory recommendation ***,these traditional methods are more friendly to active users with rich historical ***,they can not effectively solve the long tail problem of inactive *** address these issues,this research presents a novel general framework that combines Large Language Models(LLM)and Knowledge Graphs(KG)into traditional *** learn the contextual information of news text,we use LLMs’powerful text understanding ability to generate news representations with rich semantic information,and then,the generated news representations are used to enhance the news encoding in traditional *** addition,multi-hops relationship of news entities is mined and the structural information of news is encoded using KG,thus alleviating the challenge of long-tail *** results demonstrate that compared with various traditional models,on evaluation indicators such as AUC,Mrr,ndCG@5 and ndCG@10,the framework significantly improves the recommendation *** successful integration of LLM and KG in our framework has established a feasible way for achieving more accurate personalized news *** code is available at https://***/Xuan-ZW/LKPNr.
Short-term depression (STd) is a critical component of neuronal plasticity. However, the emulation of STd in the emerging memristive neuromorphic devices remains challenging because memristors are almost invariably se...
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Short-term depression (STd) is a critical component of neuronal plasticity. However, the emulation of STd in the emerging memristive neuromorphic devices remains challenging because memristors are almost invariably set-first and, if volatile, typically exhibit volatile set behavior. Although these characteristics are essential for emulating short-term facilitation (STf), they contradict the requirements for emulating STd. In this work, we experimentally demonstrate a Te-based memristor with reset-first behavior as well as volatile reset switching characteristic. These unusual phenomena are connected to the fabrication-induced Te intermixing in the originally insulating interlayer and the unique thermo-electric behavior of Te in response to electrical stimuli. With these properties, the Te-based memristor can naturally emulate neuronal STd, in contrast to Ag-based memristors which behave like STf synapses. This work advances the use of Te for neuromorphic computing and extends the functionalities of memristors.
The seepage and heat transfer characteristics of fracturedrock are critical issues in hot dry rock exploitation. This paper investigates the effects of proppant on the seepage characteristics underdifferent conditio...
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The seepage and heat transfer characteristics of fracturedrock are critical issues in hot dry rock exploitation. This paper investigates the effects of proppant on the seepage characteristics underdifferent conditions through seepage experiments on split granite fractures. Subsequently, seepage-heat transfer coupling mechanisms in fractured granite are elucidated through numerical simulations. The results indicate that the flow rate increases in fractures with large crack widths as temperature rises, while in fractures with small crack widths, an increase in temperature reduces the flow rate. Additionally, normal constraint force increases with rising confining pressure, consequently reducing the flow rate. Extension of seepage paths is favored by higher injection pressures, thereby improving flow rates. The inclusion of proppant effectively supports the fracture, expanding its width and significantly increasing the flow rate. Furthermore, injection into the reservoir forms a low-temperature cooling zone, which gradually advances towards the outlet over time. Initially, the outlet temperature and extract heat rate remain stable before decreasing almost linearly. Proppant filling accelerates the heat transferrate and significantly boosts the initial extract heat rate;however, it also leads to a fasterdecline in reservoir heat quantity, resulting in a subsequent extract heat rate lower than that of unfilled fractures. These findings underscore the importance of balanced extract heat efficiency and enhanced geothermal system reservoir longevity for the sustained exploitation of geothermal energy.
Micro-electrolysis(ME)technology is investigated for improving the efficiency of removal of pentavalent antimony(Sb(V))from the *** this study,an ME system composed of scrap iron filings,waste manganese fillings,and a...
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Micro-electrolysis(ME)technology is investigated for improving the efficiency of removal of pentavalent antimony(Sb(V))from the *** this study,an ME system composed of scrap iron filings,waste manganese fillings,and activated carbon(Fe-Mn-C ME)was used to efficiently remove Sb(V).The results proved that,compared with conventional iron-carbon micro-electrolysis(Fe-C ME),Fe-Mn-C ME significantly enhances the removal rate of Sb(V)when the hydraulic retention time is 10–24 *** Fe-Mn flocs produced by this system were analyzed using X-ray diffraction(Xrd),energy-dispersive X-ray spectroscopy(EdS),X-ray photoelectron spectroscopy(XPS),and Brunauer-Emmett-Teller(BET)surface area analysis,which revealed that the flocs were mostly Mn-substituted FeOOH and had a relatively larger specific surface area,providing better adsorption ***,it was found that the removal rate of Sb(V)decreased as the iron-carbon mass ratio increased,while it first increased and then decreased as the manganese content *** reduction of Fe(III)was accelerated with an increase in the addition of manganese,leading to an increase in the concentration of Fe(II).The electron transfer and the formation of Fe(II)were facilitated by the potential difference between manganese and carbon,as well as by the formation of microcells between iron and manganese,which improved the reduction ability of Sb(V).From our thorough investigation andresearch,this is the first report that has proposed Fe-Mn-C ME forremoving *** provides a novel approach and technological support forremoving Sb(V)efficiently.
The planetary roller screw mechanism(PrSM)is a novel precision transmission mechanism that realizes the conversion between linear androtary *** contact characteristics of helical surfaces directly determine PrSM’s p...
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The planetary roller screw mechanism(PrSM)is a novel precision transmission mechanism that realizes the conversion between linear androtary *** contact characteristics of helical surfaces directly determine PrSM’s performance in load-carrying capacity and transmission ***,studying the contact characteristics of PrSM forms the fundamental basis for enhancing its transmission *** this study,a three-dimensional parametric analysis method of contact characteristics is proposed based on the PrSM meshing principle and PyVista(a high-level API to the Visualization Toolkit).The proposed method considers the influence of machining errors among various thread *** effects of key machining errors on contact positions and axial clearance,as well as their sensitivities,are *** excellent solution accuracy,this method exhibits higher calculation efficiency and strongerrobustness than the analytical and numerical meshing *** influence of nominal diameter and pitch errors of the screw,roller,and nut on the axial clearance follows a linearrelationship,whereas flank angle errors have negligible effects on the axial *** corresponding influence coefficients for these three machining errors on the axial clearance are 0.623,0.341,and *** variations in contact positions caused by individual errors are *** angle errors androllerdiameter errors result in lineardisplacements of the contact points,whereas pitch errors cause the contact points to move along the arc of the roller *** on the proposed threedimensional parametric contact characteristics analysis method,the Fuzzy C-Means clustering algorithm considering error sensitivity is utilized to establish a component grouping technique in the selective assembly of critical PrSM components,ensuring the rational and consistent clearances based on the given component’s machining *** study provides effective guidance for analyzing conta
In the cornerreflector jamming scenario, the ship target and the cornerreflector array have different degrees of defocusing in the synthetic aperture radar (SAr) image due to their complex motions, which is unfavora...
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In the cornerreflector jamming scenario, the ship target and the cornerreflector array have different degrees of defocusing in the synthetic aperture radar (SAr) image due to their complex motions, which is unfavorable to the subsequent target recognition. In this manuscript, we propose an imaging method for marine targets based on time-frequency analysis with the modified Clean technique. Firstly, the motion models of the ship target and the cornerreflector array are established, and the characteristics of theirdoppler parameterdistribution are analyzed. Then, the Chirp rate-Quadratic Chirp rate distribution (Cr-QCrd) algorithm is utilized to estimate the doppler parameters. To address the challenges posed by the aggregated scattering points of the ship target and the overlapping doppler histories of the cornerreflector array, the Clean technique is modified by short-time Fourier transform (STFT) filtering and amplitude-phase distortion correction using fractional Fourier transform (FrFT) filtering. This modification aims to improve the accuracy and efficiency of extracting scattering point components. Thirdly, in response to the poor universality of the traditional Clean iterative termination condition, the kurtosis of the residual signal spectrum amplitude is adopted as the new iterative termination condition. Compared with the existing imaging methods, the proposed method can adapt to the different dopplerdistribution characteristics of the ship target and the cornerreflector array, thus realizing betterrobustness in obtaining a well-focused target image. Finally, simulation experiments verify the effectiveness of the algorithm.
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