China Atomic Energy Authority

Fusion energy operations generate an immense volume of diagnostic data, capturing everything from high-speed camera footage and magnetic sensor outputs to spectroscopic readings and neutron flux measurements. This data is complex, heterogeneous, and arrives in real time. Meaningful insights require deliberate integration, intuitive interfaces, and clear visual communication to enable cross-disciplinary understanding and timely decision-making. In large-scale commercial fusion facilities such as STEP and ITER, the control rooms are tasked with managing thousands of signals from diagnostics, simulations, and engineering systems. As the complexity of fusion operations increases, traditional dashboard interfaces struggle to support real-time inferencing, multi-user collaboration, and adaptive decision-making. This paper introduces the concept of a Fusion Visual Operator (FVO) as a foundational component for building adaptive Extended Reality (XR) visualisation and dashboards that scale with signal complexity, user roles, and dynamic contexts. We present a theoretical framework that integrates signal annotation, visual semantics, and interaction grammars into a generative model capable of reconfiguring visual layouts and modalities in real time. By embedding this engine within a digital twin ecosystem, and supporting multimodal interaction (voice, gaze, gesture), we aim to create cognitively ergonomic, collaborative XR workspaces suitable for fusion control environments.

Organizations today face increasing challenges related to environmental sustainability and social responsibility, requiring them to adopt modern management practices that enhance their sustainability and growth. This research aims to examine the concept of Green Human Resources Management (GHRM) and its role in supporting organizations' sustainable growth strategies. The research addresses the importance of adopting human resource management policies that take environmental dimensions into account, such as green recruitment and training, sustainable performance management, and rewards that promote positive environmental behaviors. It also explores the relationship between these dimensions and achieving sustainable organizational growth by improving operational efficiency, enhancing corporate image, and increasing employee and stakeholder satisfaction. The research relies on an analytical methodology that combines theoretical studies and practical experiences from organizations that have implemented green human resource strategies and achieved success in sustainable growth. The research concludes that integrating GHRM activities with organizational growth strategies leads to a sustainable competitive advantage and enhances organizations' ability to address modern environmental and economic challenges. What distinguishes our research from previous studies is its attempt to link the two disciplines of green human resource management and organizational growth strategy. This in itself is a rarity in this field compared to other research that links a single, precise discipline, given the importance of the role played by human resources and its impact on all business administration disciplines.

Novel bispidine skeleton has been extensively designed as bifunctional chelators (BFCs) for their special stereochemical structure and variable dentate numbers. Bispidinebased ligands (BBLs) as BFCs generally integrate the benefits of conventional acyclic and macrocyclic BFCs, demonstrating exceptional radiolabeling kinetics, thermodynamic stability and kinetic inertness for their metal complexes. The accessible inherent spatial asymmetry in bispidine skeleton is well-suited for Jahn-Teller active metal ions, notably Cu(II). Currently, BBLs have already been studied to coordinate with radionuclides such as <sup>52</sup>Mn, <sup>64/67</sup>Cu, <sup>68</sup>Ga, <sup>111</sup>In, <sup>133</sup>La, <sup>177</sup>Lu, <sup>212</sup>Pb, <sup>212/213</sup>Bi, and <sup>225</sup>Ac for radiopharmaceuticals application. Among them, the <sup>64</sup>Cu, <sup>52</sup>Mn, <sup>111</sup>In, <sup>177</sup>Lu, and <sup>225</sup>Ac complexes with BBLs have particularly made significant research progress. In this review, we introduce the synthesis of BBLs and their applications in chelating the above five metallic radionuclides for the development of radiopharmaceuticals are discussed.

In order to reduce campus carbon emissions, the accounting boundary and accounting list of carbon emissions of Nankai University's Jinnan Campus were set. On this basis, the carbon emissions of Nankai University Jinnan Campus were calculated using the emission factor method. Based on the PVsyst simulator, calculations were made to obtain the annual photovoltaic power generation and then to analyze its contribution to the carbon reduction of the campus. Conclusion: Between 2017 and 2020, the carbon emissions generated by buildings were the main influencing factor for campus carbon emissions. The net carbon emissions of Jinnan Campu were 50167.34 tons, 51848.27 tons, 50674.08 tons, and 42330.47 tonss from 2017 to 2020, respectively, reaching their peak in 2018. The total area of campus greenery, water bodies, and currently undeveloped areas is 602400m2. It is possible to consider installing a photovoltaic power generation system in 50% of the area, which is 301200m2. Using PVSyst to simulate the photovoltaic power generation system of Jinnan Campus, it was calculated that its annual power generation is about 28868000 kWh, replacing traditional electricity, which is equivalent to saving 108 tons of standard coal and reducing carbon emissions by 21073.64 tons per year. This can offset more than 40% of the net carbon emissions of the campus, which is very beneficial for the construction of low-carbon campuses. Campus photovoltaic construction relies on the huge roof resources of colleges and universities, and with the help of planning advantages, architectural advantages and energy-use advantages, it forms a photovoltaic power generation system suitable for the characteristics of schools. It not only reduces the initial investment cost, but also improves the economic efficiency and ecological benefits. The method proposed in this study can be applied to quickly and accurately evaluate the potential of campus photovoltaics. By combining more accurate hourly energy consumption data, it is possible to develop a reasonable photovoltaic utilization strategy for the entire campus and various functional clusters. Promoting to various campuses can promote the formation of more renewable energy substitution projects, reduce carbon emissions for campus communities and the entire society.