Research on the Application of Intelligent Calibration Device for Nuclear Power Plants Based on Wireless Sensor Technology

Wireless technology possesses distinct technical and economic advantages in the design, construction, and operations management of nuclear power plants. To improve the level of autonomy of nuclear power plants, we discuss the research on the international system of developing wireless technology applications for use in nuclear power plants. Further studies have enabled the extensive use of wireless technology in China’s nuclear power industry. The application of the proposed wireless sensor technology in nuclear power plants is based on reliability, environmental adaptability, electromagnetic compatibility, scalability, and maintainability requirements. Accordingly, the application will be a gradual process but wireless sensor technology needs to evolve continuously to meet these requirements. This study is designed to implement a thermal instrumentation calibration device using a Windows CE embedded operating system as the core of the test procedures in accordance with the relevant requirements. We also maximize the considerable reliability of an embedded operating system in the traditional areas of metering industry. Results show that in using wireless technology in nuclear power plant, the general thermal instrumentation calibration application of an intelligent device system is low, data accuracy is high, and the process is stable

Operando and three-dimensional visualization of anion depletion and lithium growth by stimulated Raman scattering microscopy

Visualization of ion transport in electrolytes provides fundamental understandings of electrolyte dynamics and electrolyte-electrode interactions. However, this is challenging because existing techniques are hard to capture low ionic concentrations and fast electrolyte dynamics. Here we show that stimulated Raman scattering microscopy offers required resolutions to address a long-lasting question: how does the lithium-ion concentration correlate to uneven lithium deposition? In this study, anions are used to represent lithium ions since their concentrations should not deviate for more than 0.1 mM, even near nanoelectrodes. A three-stage lithium deposition process is uncovered, corresponding to no depletion, partial depletion, and full depletion of lithium ions. Further analysis reveals a feedback mechanism between the lithium dendrite growth and heterogeneity of local ionic concentration, which can be suppressed by artificial solid electrolyte interphase. This study shows that stimulated Raman scattering microscopy is a powerful tool for the materials and energy field

Material-driven fibronectin assembly for high-efficiency presentation of growth factors

Growth factors (GFs) are powerful signaling molecules with the potential to drive regenerative strategies, including bone repair and vascularization. However, GFs are typically delivered in soluble format at supraphysiological doses because of rapid clearance and limited therapeutic impact. These high doses have serious side effects and are expensive. Although it is well established that GF interactions with extracellular matrix proteins such as fibronectin control GF presentation and activity, a translation-ready approach to unlocking GF potential has not been realized. We demonstrate a simple, robust, and controlled material-based approach to enhance the activity of GFs during tissue healing. The underlying mechanism is based on spontaneous fibrillar organization of fibronectin driven by adsorption onto the polymer poly(ethyl acrylate). Fibrillar fibronectin on this polymer, but not a globular conformation obtained on control polymers, promotes synergistic presentation of integrin-binding sites and bound bone morphogenetic protein 2 (BMP-2), which enhances mesenchymal stem cell osteogenesis in vitro and drives full regeneration of a nonhealing bone defect in vivo at low GF concentrations. This simple and translatable technology could unlock the full regenerative potential of GF therapies while improving safety and cost-effectiveness

Investigating operations of industrial parks in Beijing: efficiency at different stages

Industrial parks enjoy significant importance in many countries and regions. This study presents a multi-stage operational process to evaluate the efficiency of parks at each stage using an empirical study of Beijing. The study finds that only three of 22 parks were efficient overall during 2006–2008 and two of 22 were efficient during 2009–2012. The promotion of business, facilitation of production, and rewards of economic returns are highly correlated stages for efficiency performance. The results suggest that Beijing’s government should expend more effort developing the potential to generate outputs given current land and investment inputs. In addition, it provides a tool to strengthen the organisational capacity development of industrial parks by emphasising their multi-dimensions in inputs and outputs, selecting the right competitors at the right organisational stage, locating sources of efficiency and inefficiency, and understanding progression and balance of internal stages during operation

Do You Guys Want to Dance: Zero-Shot Compositional Human Dance Generation with Multiple Persons

Human dance generation (HDG) aims to synthesize realistic videos from images and sequences of driving poses. Despite great success, existing methods are limited to generating videos of a single person with specific backgrounds, while the generalizability for real-world scenarios with multiple persons and complex backgrounds remains unclear. To systematically measure the generalizability of HDG models, we introduce a new task, dataset, and evaluation protocol of compositional human dance generation (cHDG). Evaluating the state-of-the-art methods on cHDG, we empirically find that they fail to generalize to real-world scenarios. To tackle the issue, we propose a novel zero-shot framework, dubbed MultiDance-Zero, that can synthesize videos consistent with arbitrary multiple persons and background while precisely following the driving poses. Specifically, in contrast to straightforward DDIM or null-text inversion, we first present a pose-aware inversion method to obtain the noisy latent code and initialization text embeddings, which can accurately reconstruct the composed reference image. Since directly generating videos from them will lead to severe appearance inconsistency, we propose a compositional augmentation strategy to generate augmented images and utilize them to optimize a set of generalizable text embeddings. In addition, consistency-guided sampling is elaborated to encourage the background and keypoints of the estimated clean image at each reverse step to be close to those of the reference image, further improving the temporal consistency of generated videos. Extensive qualitative and quantitative results demonstrate the effectiveness and superiority of our approach