摘要：Accurate detection of multiple small end-metabolic biomarkers is more sensitive than large biomoleculesto provide real-time feedbacks of physiological/pathologicalstate, but is more challenging due to lack of specific identifyinggroups. Current optical platforms suffer from unsatisfactoryresolutions to differentiate each target because they producesimilar output to different targets using a single excitation,and inevitably involve non-functional components that increase chances of interacting with non-target ***, by taking full advantage of each building unit’sfunctionality to integrate multivariate recognition elements inone interface, a dual-excitation-driven full-component-responsive metal-organic framework (MOF)-based luminescentprobe, namely CeTMA-TMA-Eu, is successfully custom-tailored for detecting both pseudouridine (Ψ) and N-acetylaspartate (NAA), the diagnostic hallmarks of cancer andneurodegenerative disorder. Remarkably, Ψ interacts withMOF’s organic building unit (trimesic acid, TMA) and filtersout its absorptions of 262 nm-light to reduce its energytransferred to Eu^(3+), while NAA induces the valence transitionof Ce^(4+)/Ce^(3+) nodes to improve the cooperative energy transferefficacy from TMA and Ce^(3+) to Eu^(3+). As a result, this platformexhibits completely reverse photoresponses towards Ψ(“switch-off” at 262 nm excitation) and NAA (“switch-on”upon 296 nm excitation), and demonstrates excellent selectivity and sensitivity in complex biofluids, with low detection limits of 0.16 and 0.15 μM, and wide linear ranges of0–180 and 0–100 μM, respectively. Such full-componentresponsive probe with dual-excitation-mediated reverse responses for multi-small targets intrinsically minimizes its interaction with non-target molecules and amplifies resolutionto discriminate each target, providing a new strategy for improving assay accuracy of multi-small biomarkers in diagnostics.

摘要：Machine learning (ML) has been widely used todesign and develop new materials owing to its low computational cost and powerful predictive capabilities. In recentyears, the shortcomings of ML in materials science have gradually emerged, with a primary concern being the scarcity ofdata. It is challenging to build reliable and accurate ML modelsusing limited data. Moreover, the small sample size problemwill remain long-standing in materials science because of theslow accumulation of material data. Therefore, it is importantto review and categorize strategies for small-sample learningfor the development of ML in materials science. This reviewsystematically sorts the research progress of small-samplelearning strategies in materials science, including ensemblelearning, unsupervised learning, active learning, and transferlearning. The directions for future research are proposed, including few-shot learning, and virtual sample *** importantly, we emphasize the significance of embedding material domain knowledge into ML and elaborate on thebasic idea for implementing this strategy.

摘要：The china Accelerator Driven Subcritical System （china-ADS） project, which is a strategic plan and aims to design and build an ADS demonstration facility, has been proposed and launched actively in china. Injector Ⅱ as one of the parallel injectors of china-ADS, and is prompted by the Institute of Modern Physics （IMP）. In this paper, a new scheme with full period lattice structure for the SC section is proposed. In the new scheme, there are sixteen periods, with one superconducting solenoid and one superconducting cavity included in each period. All of the elements are contained in four eryomodules. The dreadful influence of the mismatch caused by period structural change can be avoided, and the beam quality is favorable. In addition, this new scheme has certain advantages in reducing the project＇s difficulty and construction risk. The details of the design and beam dynamic simulation for the full period lattice structure are given in this paper.

摘要：β-Lapachone (β-Lap) is a promising orthonaphthoquinone drug for cancer treatment and has been inclinical trials. Its application is constrained by the low aqueoussolubility, and severe side effects. Even prodrug designation isan effective approach to render it with tumor selectivity, it islimited by the lack of modifiable groups on β-Lap. Herein, anovel azo bond primary cleavage and carbon–carbon (C–C)bond secondary cleavage-based polymeric β-Lap prodrug(Azo-Lap NP) is designed, in which the self-immolated paraaminobenzyl linker is connected to poly(L-glutamic acid)(PGlu) via azo linkage and the responsive drug release of β-Lapagainst tumors can be achieved under high NAD(P)H:quinoneoxidoreductase 1 (NQO1) expression and low pH environmentin tumors. The effective covalent loading of β-Lap by Azo-LapNPs permitted a high administration dose of β-Lap and enabled significant tumor retention time. Moreover, Azo-LapNPs markedly reduced the side effects of β-Lap by avoidinghemolysis and the production of methemoglobin. The safety ofAzo-Lap NPs administration is validated in the antitumorexperiment of mice. In the 4T1 model, Azo-Lap NPs exhibiteda markedly higher tumor suppression rate than β-Lap. Thiswork provides an effective and safe polymeric prodrug fortumor selective delivery of β-Lap.

摘要：Dermal substitutes have provided a template for the regeneration and reconstruction of the ***,the healed skin tissue often exhibits abnormal morphology and functionality,including scarring and *** this study,a composite bioink composed of methacrylated gelatin(GelMA)and chitosan oligosaccharide(COS)was proposed for printing a dermal scaffold using digital light processing(DLP)*** GelMA/COS bioink exhibited suitable porosity,swelling,degradation rate,and mechanical *** inclusion of COS demonstrated antibacterial effects against both Gram positive and Gram-negative bacteria,while simultaneously fostering the proliferation of human dermal fibroblasts(HDFs).Additionally,the application of COS could effectively reduce the expression levels of fibrosis-related genes,such as collagen I,collagen III,and fibronectin *** three-dimensionally printed cell-laden dermal scaffold exhibited excellent shape fidelity and high cellular viability,facilitating the extension of HDFs along the scaffold and the simultaneous secretion of extracellular matrix ***,the HDF-laden dermal scaffold transplanted into full-thickness skin defect sites in nude mice was shown to accelerate wound closure,reduce inflammation,and improve wound ***,the DLP-printed dermal scaffold provides an appealing approach for effectively treating full-thickness skin defects in clinical settings.

摘要：Molybdenum-based catalysts have demonstrated significant potential in the electrocatalytic hydrogen evolution reaction(HER).However,the limited exposure of active sites and strong hydrogen adsorption result in suboptimal ***,a Mo_(2)N±MoSe_(2) heterojunction is prepared on carbon cloth(MNS/CC)to enhance the *** strong electronic interaction between Mo_(2)N and MoSe_(2),combined with the lower work function of Mo_(2)N,creates an intrinsic electric field at the heterojunction interface,which markedly improves charge transfer ***,the optimized electronic structure of Mo sites further enhances charge transfer and intrinsically catalytic activity in *** a result,MNS/CC requires overpotentials of mere 65 and 210 mV to achieve current densities of 20 mA cm^(−2) and 1 A cm^(−2),respectively,with a Tafel slope of only 96 mV dec−***,MNS/CC maintains stable operation at 1 A cm^(−2) for 240 h without significant *** results offer insights into the design of non-precious metal-based electrocatalysts for industrial hydrogen production.

摘要：We study the self-diffusion of adatom on Pt(100) surface by molecular dynamics. The metal is modeled by the surface embedded-atom potential. Besides the conventional concerted exchange mechanism, a new exchange mechanism in which an ad-dimer diffuses by a concerted motion of three atoms is observed. The importance is that it could become a dominant diffusion mechanism in some cases.

摘要：In this paper, we extend a novel unconstrained multiobjective optimization algorithm, so-called multiobjective extremal optimization （MOEO）, to solve the constrained multiobjective optimization problems （MOPs）. The proposed approach is validated by three constrained benchmark problems and successfully applied to handling three multiobjective engineering design problems reported in literature. Simulation results indicate that the proposed approach is highly competitive with three state-of-the-art multiobjective evolutionary algorithms, i.e., NSGA-11, SPEA2 and PAES. Thus MOEO can be considered a good alternative to solve constrained multiobjective optimization problems.

摘要：In this paper, we study a new metric for slowly rotating charged Gauss-Bonnet black holes in higher-dimensional anti-de Sitter space. Taking the angular momentum parameter a up to second order, the slowly rotating charged black hole solutions are obtained by working directly in the action.

摘要：Main observation and conclusion A full account of the total synthesis of(-)-pallambins A-D(1-6)is *** strategy was devised by simulating their biosynthetic *** left-part bicyclo[3.2.1]octane system of pallambins C and D was efficiently constructed via a palladium-catalyzed oxidative cyclization.