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This paper mainly studies the solution of the electromagnetic ring network. Firstly, the current situation and main problems of the electromagnetic ring network are analyzed, then the principles and ideas of the electromagnetic ring network are studied, and then the effect of the electromagnetic ring network is analyzed through example verification. Through the above research, it is concluded that the development and construction of the power grid should be accelerated in combination with the load and power supply planning to create conditions for decoupling the electromagnetic loop network and eliminate the adverse effects of the operation of the electromagnetic loop network.

The 3-DOF micro-nano positioning stage employing active-passive hybrid decoupling is experimentally studied. The flexible amplification mechanism integrating semi-compound bridge-type, lever, and steering configurations is proposed to achieve passive decoupling of the positioning stage. Active decoupling is accomplished through a Z-axis compensation mechanism. The experiment shows that the micro-nano positioning platform achieves the displacement of 85.7 μm × 86.6 μm × 8.2 μm, with X-axis and Y-axis coupling errors both below 0.4%. The Z-axis compensation mechanism effectively performs active compensation for loads up to 400 g. The developed positioning stage exhibits an enlarged workspace and enhanced anti-coupling performance compared to conventional designs.

Aiming at the problems of poor data opening and sharing ability and closed application ecology of substation integrated monitoring system, the open monitoring system of a substation based on platform + APP architecture is proposed, which realizes the decoupling of APP and the monitoring system vendor platform through the security reinforced container technology, unified data interaction technology, and data service-oriented middleware technology. The decoupling of APP and platform promotes the construction of an open and shared industrial ecosystem for substation-integrated monitoring systems, which in turn improves the level of substation intelligence.

Quantum memories with long storage times are key elements in long-distance quantum networks. The atomic frequency comb (AFC) memory in particular has shown great promise to fulfill this role, having demonstrated multimode capacity and spin-photon quantum correlations. However, the memory storage times have so-far been limited to about 1 ms, realized in a Eu3+ doped Y2SiO5 crystal at zero applied magnetic field. Motivated by studies showing increased spin coherence times under applied magnetic field, we developed an AFC spin-wave memory utilizing a weak 15 mT magnetic field in a specific direction that allows efficient optical and spin manipulation for AFC memory operations. With this field configuration the AFC spin-wave storage time increased to 40 ms using a simple spin-echo sequence. Furthermore, by applying dynamical decoupling techniques the spin-wave coherence time reaches 530 ms, a 300-fold increase with respect to previous AFC spin-wave storage experiments. This result paves the way towards long duration storage of quantum information in solid-state ensemble memories.

Lithium-carbon dioxide (Li-CO₂) batteries are regarded as a promising electrochemical system owing to their energy storage capability and CO₂ utilization. However, the reported operating voltage of ~2.6 V is increasingly questioned as seemingly beyond the capability of the electrochemical carbon dioxide reduction reaction to carbon. Herein, the real operating voltage of a Li-CO₂ battery is reacquainted, and the operating voltage and the equilibrium potential are clarified to be ~1.1 V and ~2.82 V, respectively. The products formed at low voltage are identified to be crystalline Li₂CO₃, amorphous C, and explicitly amorphous Li₂CO₃. Moreover, by decoupling small currents, 1% O₂, and 500 ppm H₂O, the operating voltage plateaus are stimulated to ~2.0 V. An ever-increasing plateau can be achieved up to the reported level of ~2.6 V activated by a minor air leak or residue in test environments. Conclusively, the operating voltages of Li-CO₂ batteries are proposed to be deceptive and extremely sensitive to the surrounding environments. This work unveils the real operating voltage and provides the voltage regulation rules to advance next-generation Li-CO₂ batteries.

We establish a new decoupling inequality for curves in the spirit of earlier work of C. Demeter and the author which implies a new mean value theorem for certain exponential sums crucial to the Bombieri-Iwaniec method as developed further in the work of Huxley. In particular, this leads to an improved bound |ζ(12+it)|≪t13/84+ε|\\zeta (\\frac {1}{2} + it)| \\ll t^{13/84 + \\varepsilon } for the zeta function on the critical line.

Qubit realized via photon polarization is a promising candidate for quantum information processing applications. Polarization decoherence mediated by a birefringent environment destroys the coherence in such qubits. Open-loop dynamical decoupling schemes are found to be good to control these kinds of decoherence. But simple open-loop control strategies are not effective to control higher-order decoherence. In the study, the effectiveness of concatenated dynamical decoupling schemes in controlling decoherence in photon polarization qubits was investigated. The propagation of different optical qubits in a birefringent channel environment was modeled, and numerical methods were used to compare the effectiveness of periodic dynamic decoupling (PDD) schemes with concatenated dynamical decoupling (CDD) schemes. The results showed that the CDD schemes were superior to PDD schemes in controlling the tested decoherence.

Main Steam Temperature (MST) prediction is crucial for the safety and efficiency of thermal power plants but remains challenging due to complex spatio-temporal coupling factors. This paper proposes a novel deep learning framework that enhances predictive performance by explicitly modeling Global Spatial Dependencies and Local Temporal Dynamics. We design a spatial clustering module to capture global relationships across sensors and integrate cyclical temporal patterns to learn local temporal evolution. Experiments on a real-world power plant dataset demonstrate that our method outperforms baseline models (e.g., DLinear, Informer, Autoformer) across multiple forecasting horizons, significantly reducing MAE and RMSE metrics. The results indicate that explicitly decoupling and fusing spatio-temporal features is an effective way to improve MST prediction accuracy.

PurposeCorporate social responsibility (CSR) decoupling indicates a misalignment between how firms report CSR and what firms actually practice with respect to CSR. The purpose of this paper is to examine the relationship between CSR decoupling and financial performance and the factors affecting this relationship.Design/methodology/approachThis paper collects and combines secondary panel data from multiple sources of Chinese listed firms from 2008 to 2020 to test the direct impact of CSR decoupling on firms’ financial performance and the moderating role of customer structure and operational slack.FindingsThis paper finds that CSR decoupling is negatively associated with firms’ financial performance. These findings further suggest that the negative relationship can be suppressed by customer stability and operational slack, but amplified by customer concentration. These conclusions remain robust to alternate measures of independent and dependent variables and narrower samples.Originality/valueIn the literature, the effect of CSR on firms’ financial performance is inconclusive. This is the first study to examine the impact of CSR decoupling on firms’ financial performance and the factors affecting this relationship. This paper contributes to the CSR decoupling literature from an operations and supply chain management perspective.

The goal of this work is to build a new family of stellar interior solutions in the anisotropic regime of pressure using the framework of gravitational decoupling via minimal geometric deformation. For such purpose, we use a generalization of the complexity factor of the well-known Wyman IIa ( n = 1) interior solution in order to close the Einstein’s Field Equations, as well we use the Wyman IIa, Tolman IV, and Heintzmann IIa and Durgapal IV models as seeds solutions. These models fulfill the fundamental physical acceptability conditions for the compactness factor of the system 4U 1820-30. Stability against convection and against collapse are also studied.