Metallic 1T MoS2 is highly desirable for catalyzing electrochemical hydrogen production from water owing to its high electrical conductivity. However, stable 1T MoS2 is difficult to be produced in ...large‐scale by either common chemical or physical approaches. Here, ultrastable in‐plane 1T–2H MoS2 heterostructures are achieved via a simple one‐pot annealing treatment of 2H MoS2 bulk under a mixture gas of Ar and phosphorous vapor, where phosphorus cannot only occupy the interspace of MoS2 bulk, resulting in the expansion of MoS2, but also embed into the lattice of MoS2, inducing the partial phase transition from 2H to 1T phases of MoS2. Benefiting from its significantly improved electrical conductivity, highly exposed active sites, and hydrophily property, in‐plane 1T–2H MoS2 heterostructures exhibit largely improved electrocatalytic properties for hydrogen evolution reaction (HER) in alkaline electrolytes.
In‐plane 1T‐2H MoS2 heterostructures are achieved via a simple annealing treatment of 2H MoS2 bulk under a mixed gas of Ar and phosphorus vapor. Phosphorus atoms can not only occupy the space of interlayer, but also embed in the lattice of MoS2, resulting in partial phase transition from 2H to 1T. Consequently, in‐plane 1T‐2H MoS2 heterostructures exhibit excellent electrocatalytic activity.
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FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SAZU, SBCE, SBMB, UL, UM, UPUK
In this paper, we consider the clustering problem of independent general subspaces. That is, with given data points lay near or on the union of independent low-dimensional linear subspaces, we aim to ...recover the subspaces and assign the corresponding label to each data point. To settle this problem, we take advantages of both greedy strategy and energy minimization strategy to propose a simple yet effective algorithm based on the assumption that an m-branched (i.e., perfect m-ary) tree which is constructed by collecting m-nearest neighbor points in each node has a high probability of containing the near-exact subspace. Specifically, at first, subspace candidates are enumerated by multiple m-branched trees. Each tree starts with a data point and grows by collecting nearest neighbors in the breadth-first search order. Then, subspace proposals are further selected from the enumeration to initialize the energy minimization algorithm. Eventually, both the proposals and the labeling result are finalized by iterative re-estimation and labeling. Experiments with both synthetic and real-world data show that the proposed method can outperform state-of-the-art methods and is practical in real application.
Electrocatalytic water splitting is a sustainable way to produce hydrogen energy, but the oxygen evolution reaction (OER) at the anode has sluggish kinetics and low energy conversion efficiency, ...which is the major bottleneck for large-scale hydrogen production. The design and synthesis of robust and low-cost OER catalysts are crucial for the OER. NiCo-based electrocatalysts have suitable atomic and electronic structures, and show high activity and stability during the OER process. Recently, significant progress has been made in regulating the structure and composition of NiCo-based catalysts and understanding the nature of catalysis, especially the OER mechanism, catalytic active sites, and structure–activity relationship. In this work, we summarized and discussed the latest development of NiCo-based electrocatalysts in the OER, with particular emphasis on catalyst design and synthesis, strategies for boosting OER performance, and understanding the nature of catalysis from experimental and theoretical perspectives. The OER mechanism, some activity descriptors, and atomic and electronic structure–activity relationships based on NiCo-based electrocatalysts are unveiled. Finally, some challenges and futuristic outlooks for improving the performance of NiCo-based electrocatalysts are proposed, and we hope this review can provide guidance for the design of more efficient NiCo-based electrocatalysts.
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IJS, KILJ, NUK, PNG, UL, UM
Driven by information technology and data capital, the scale and capital of modern enterprises and government organizations have grown rapidly. The traditional manual financial management model is no ...longer able to adapt to the rapidly developing economic rhythm. Modern enterprises and government organizations are promoting the intelligent application of financial management systems. However, in intelligent applications, there are still issues such as lack of financial information integrity, lack of timeliness, and low collaboration. How to help enterprises improve the comprehensiveness of financial management analysis, use intelligent information technology to improve the analysis of complex problems, provide practical guidance for enterprises to make comprehensive and accurate decisions, and reduce financial management risks. This article takes XX furniture enterprise as the research object, analyses the intelligent financial management process of the enterprise, and provides certain reference and reference for similar enterprises. The furniture industry is currently experiencing rapid technological updates and fierce competition. XX Furniture Enterprise is a technology and capital intensive enterprise that requires the financial management department to timely and accurately collect the financial status and relevant information of the enterprise, evaluate its financial decisions, and make accurate decision recommendations and risk level warnings based on financial data. This article conducts a survey on the financial department of XX furniture enterprise, points out the current situation of the financial department of XX furniture enterprise, and proposes methods to improve the financial analysis difficulties faced by the enterprise. Keywords: digital economy; Digital management; financial management
This paper presents a new technique for artificial neural network (ANN) inverse modeling and applications to microwave filters. In inverse modeling of a microwave component, the inputs to the model ...are electrical parameters such as <inline-formula> <tex-math notation="LaTeX">S </tex-math></inline-formula>-parameters, and the outputs of the model are geometrical or physical parameters. Since the analytical formula of the inverse input-output relationship does not exist, the ANN becomes a logical choice, because it can be trained to learn from the data in inverse modeling. The main challenge of inverse modeling is the nonuniqueness problem. This problem in the ANN inverse modeling is that different training samples with the same or very similar input values have quite different (contradictory) output values (multivalued solutions). In this paper, we propose a multivalued neural network inverse modeling technique to associate a single set of electrical parameters with multiple sets of geometrical or physical parameters. One set of geometrical or physical parameters is called one value of our proposed inverse model. Our proposed multivalued neural network is structured to accommodate multiple values for the model output. We also propose a new training error function to focus on matching each training sample using only one value of our proposed inverse model, while other values are free and can be trained to match other contradictory samples. In this way, our proposed multivalued neural network can learn all the training data by automatically redirecting contradictory information into different values of the proposed inverse model. Therefore, our proposed technique can solve the nonuniqueness problem in a simpler and more automated way compared with the existing ANN inverse modeling techniques. This technique is illustrated by inverse modeling and parameter extraction of four microwave filter examples.
Kaempferol (kaem) is a dietary flavonoid found in a variety of fruits and vegetables. The inhibitory effects of kaem on primary tumour growth have been extensively investigated; however, its effects ...on tumour metastasis are largely unknown. In the present study, we found that kaem significantly suppresses both primary tumour growth and lung metastasis in mouse breast tumour model. Furthermore, decreased expression of citrullinated histone H3 (H3‐cit), a biomarker of neutrophil extracellular traps (NETs), had been founded in metastatic lung upon treated with kaem. The reduction of H3‐cit is not, however, due to the cytotoxicity of kaem on neutrophils since the frequency of CD11b+Ly6G+ neutrophils did not change in lung, tumour or blood in the presence of kaem. We then confirm the anti‐NETs effects of kaem in vitro by co‐culturing mouse neutrophils and kaem. Supplementing the neutrophils with GSK484, a potent NET inhibitor, totally abrogated the inhibitory effects of kaem on tumour metastasis while having little or no impact on primary tumour growth, indicating the specificity of kaem acting on NET formation and tumour metastasis. We also found that kaem suppressed ROS production in mouse bone‐marrow derived neutrophils. Supplementing with the ROS scavenger DPI abrogated kaem's effects on NET formation, suggesting the involvement of kaempferol in NADPH/ROS‐NETs signalling. Finally, we applied the kaem on NET‐deficient PAD4‐/‐ mice and found decreased primary tumour volume and weight but similar lung metastatic tumour with kaempferol treatment. Therefore, our findings reveal a novel mechanism of kaem in breast cancer development by targeting NETs induced tumour metastasis.
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FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SAZU, SBCE, SBMB, UL, UM, UPUK
The ability to accurately identify and isolate cells is the cornerstone of precise disease diagnosis and therapies. A single-step cell identification method based on logic analysis of multiple ...surface markers will have unique advantages because of its accuracy and efficacy. Herein, using multiple DNA aptamers for cancer biomarker recognition and associative toehold activation for signal integration and amplification as two molecular keys, we have successfully operated a cell-surface device that can perform AND Boolean logic analysis of multiple biomarkers and precisely label the target cell subtype in large populations of similar cells via the presence or absence of different biomarkers. Our approach can achieve single-step cancer cell identification and isolation with excellent sensitivity and accuracy and thus will have broad applications in biological science, biomedical engineering, and personalized medicine.
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IJS, KILJ, NUK, PNG, UL, UM
Abstract
The low Coulombic efficiency during cycling hinders the application of Cobalt-free lithium-rich materials in lithium-ion batteries. Here we demonstrated that the dissolution of iron, rather ...than traditionally acknowledged manganese, is mainly responsible for the low Coulombic efficiency of the iron-substituted cobalt-free lithium-rich material. Besides, we presented an approach to inhibit the dissolution of transition metal ions by using concentrated electrolytes. We found that the cathode electrolyte interphase (CEI) layer formed in the concentrated electrolyte is a uniform and robust LiF-rich CEI, which is a sharp contrast with the uneven and fragile organic-rich CEI formed in the dilute electrolyte. The LiF-rich CEI not only effectively inhibits the dissolution of TMs but also stabilizes the cathode structure. The Coulombic efficiency, cycling stability, rate performance, and safety of the Fe-substituted cobalt-free lithium-rich cathode material in the concentrated electrolyte have been improved tremendously.
Carbon dioxide electroreduction provides a useful source of carbon monoxide, but comparatively few catalysts could be sustained at current densities of industry level. Herein, we construct a ...high-yield, flexible and self-supported single-atom nickel-decorated porous carbon membrane catalyst. This membrane possesses interconnected nanofibers and hierarchical pores, affording abundant effective nickel single atoms that participate in carbon dioxide reduction. Moreover, the excellent mechanical strength and well-distributed nickel atoms of this membrane combines gas-diffusion and catalyst layers into one architecture. This integrated membrane could be directly used as a gas diffusion electrode to establish an extremely stable three-phase interface for high-performance carbon dioxide electroreduction, producing carbon monoxide with a 308.4 mA cm
partial current density and 88% Faradaic efficiency for up to 120 h. We hope this work will provide guidance for the design and application of carbon dioxide electro-catalysts at the potential industrial scale.
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