In the context of rising global CO₂ content, Carbon Capture, Utilization and Storage (CCUS) has come into people's attention because it can effectively reduce atmospheric CO₂ content. CCUS is mainly divided into three steps: capture, utilization and storage. Researchers have developed corresponding technologies that can improve efficiency and reduce losses in each link, and mature demonstration projects have emerged. However, the current development of CCUS still faces many difficulties, such as the technology is not mature enough, the integration level is low, the investment cost is high, the relevant talent shortage, and the business model is not yet formed and unclear. However, researchers have proposed some feasible solutions. This paper focuses on the CCUS process, outstanding related technologies, and lists some demonstration projects. In addition, it also summarizes the problems and solutions facing the current development of CCUS. Finally, the future of CCUS is prospected.

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Hydrogen sulfide (H₂S), as a critical gasotransmitter, plays a dual role in regulating tumor growth depending on its concentration and tumor type. In nasopharyngeal carcinoma (NPC), systematic reviews have demonstrated the involvement of H₂S in multiple cellular processes, including cell proliferation, apoptosis, and metastasis. This study systematically explores the molecular mechanisms of H₂S in NPC, focusing on its role in modulating signaling pathways, for example, PI3K/AKT, Wnt/β-catenin, and ROS-mediated pathways. The findings indicate that H₂S exerts its effects by regulating the expression of oncogenes and tumor suppressor genes, altering the tumor microenvironment, and influencing mitochondrial function. These insights provide a foundation for novel therapeutic strategies targeting H₂S metabolism in NPC.

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Utilizing data from Chinese A-share listed companies between 2013 and 2022, this study investigates the governance effect of digital transformation on corporate environmental information misrepresentation and its underlying mechanisms. The empirical findings reveal that (1) digital transformation significantly inhibits corporate greenwash behavior; (2) Organizational dynamic capabilities act as a partial mediator between digital transformation and greenwashing behavior, with digital advancements curbing information distortion by strengthening knowledge integration, innovation mechanisms, and external environmental responsiveness; (3) the heterogeneity analysis reveals that the inhibition effect is more pronounced for non-state-owned enterprises and enterprises in the eastern region, which indicates that the degree of marketization and the institutional environment are the important boundary conditions. The study reveals the non-economic benefits of digital transformation in environmental governance, and provides theoretical and practical basis for policy makers to promote green transformation of enterprises.

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Precision agriculture offers a promising solution to enhance crop productivity and sustainability amidst global agricultural challenges. This paper reviews the development and application of computer vision technologies in modern farming, with a focus on deep learning techniques such as Convolutional Neural Networks (CNNs), including Residual Network (ResNet), You Only Look Once (YOLO), and Segmentation Network (SegNet), applied to disease detection, weed classification, and crop health monitoring. The integration of Unmanned Aerial Vehicles (UAVs), robotics, and the Internet of Things (IoT) has significantly advanced agricultural efficiency. However, challenges such as data scarcity, computational limitations, and environmental variability continue to impede large-scale adoption. Emerging solutions, such as lightweight AI models, edge computing, and multi-source data fusion, offer potential pathways to overcome these hurdles. These innovations are critical for scaling, adapting, and sustaining precision agriculture technologies. This paper provides an overview of the current state of computer vision in precision agriculture, identifies key challenges, and outlines future research directions aimed at advancing the field.

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