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Urban renewal is an ideal approach to promoting the value of the urban fabric and improving the sustainability of the urban environment. This study, which shows the continuity of research on sustainable urban renewal, aimed to identify sustainable urban renewal literature based on a library analysis of scientific research since 2000. A total of 3971 scientific papers from the SCIE (Science Citation Index Expanded) and SSCI (Social Sciences Citation Index) databases were reviewed to examine how research concerning “sustainable urban renewal” has emerged and developed in the past 20 years. The h-indices and impact factors of the most relevant journals in urban renewal and sustainable development since 2000 were analyzed. The most frequently cited articles were analyzed using analysis of social networks (VOSviewer). The results revealed potential future focuses of research and guidelines that link urban renewal and sustainability: the engagement of all stakeholders in the decision-making process; the involvement of residents in projects; the development of cooperation between towns and cities; the preservation and reuse of built and industrial heritage while respecting environmental law; and, finally, the search for new financing techniques. These potential future research topics were analyzed in four research areas so that sustainable development can easily be integrated into an urban renewal project.

Optical remote sensing image has the advantages of fast information acquisition, short update cycle, and dynamic monitoring. It plays an important role in many earth observation activities, such as ocean monitoring, meteorological observation, land planning, and crop yield investigation. However, in the process of image acquisition, an optical remote sensing system is often disturbed by clouds, resulting in low image clarity or even loss of ground information, affecting the acquisition of feature information and subsequent applications. We propose a spatial attention recurrent neural network model combined with a context transformation network to overcome the challenge of cloud occlusion. This model can obtain the core information in remote sensing images and consider the remote dependencies in the network. Furthermore, the network proposed in this paper has achieved excellent performance on the RICE1 and RICE2 datasets.

Aim to modify the poly(l‐lactic acid) (PLLA) make it better applications in food packing and evaluate the effect of some antimicrobials in meat packaging and storage, the PLLA/poly(vinyl alcohol)/poly(ε‐caprolactone) (PLLA/PVA/PCL, LVC) multilayer film with the antimicrobial, such as tea polyphenols (TP), potassium sorbate (PS), and trehalose (TH) were prepared by laminating technique and potentially used for packaging of chilled meat, it significantly improved mechanical properties and barrier property of PLLA. Total viable count (TVC) and total volatile basic nitrogen (TVB‐N) of the LVC film with the antibacterial were greatly inhibited. The lower and more stable pH value, and higher comprehensive and acceptability could be found in the case of the LVC‐antibacterial film (LVC‐TH, LVC‐TP, and LVC‐PS). It is noteworthy that the LVC‐PS film showed the longest shelf life of 31 days and it is the ideal packaging material in this work, moreover expected to replace the nondegradable food packaging material. Practical applications In this work, the poly (l‐lactic acid) (PLLA) was modified by coating of poly(vinyl alcohol) (PVA) and poly(ε‐caprolactone) (PCL) to prepare the PLLA/PVA/PCL composite film for packaging of chilled meat. To enhance the antibacterial ability of the packaging film, three kinds of natural preservatives were incorporated into the composite film. The results shown that the oxygen barrier property of the composite film is greatly increased by over 3 orders in magnitude due to the presence of the PVA. It is noteworthy that the LVC‐PS film showed the longest shelf life of 31 days and it is the ideal packaging material in this work, moreover expected to replace the nondegradable food packaging material.

PurposeThis study aims to investigate the impact of digital transformation on supply chain resilience. Additionally, the paper examines the mediating effect of supply chain process integration as well as the moderating effect of environmental uncertainty in the relationship between digital transformation and supply chain resilience.Design/methodology/approachDrawing on digital empowerment theory, this study proposes a theoretical model. Using survey data collected from 216 enterprises in China, the study employs structural equation modeling to validate the theoretical model.FindingsThe results reveal that digital transformation has a significant impact on supply chain resilience. Three dimensions of supply chain process integration, namely, information flow integration, physical flow integration, and financial flow integration mediate the relationship between digital transformation and supply chain resilience. In addition, environmental uncertainty including market uncertainty and technology uncertainty positively moderates the relationship between digital transformation and supply chain resilience.Originality/valueFirst, this paper provides empirical evidence on both the direct and indirect effects of digital transformation on supply chain resilience. Second, this paper enriches the understanding of how supply chain integration impacts supply chain resilience in the digital transformation era by adopting a more granular perspective of process integration rather than broad external and internal integrations. Furthermore, this paper extends the knowledge of the role of external environment in digital transformation and supply chain risk management by examining the moderating effects of market uncertainty and technology uncertainty.