As the construction industry shifts toward industrialization, digitalization, intelligence, and low-carbon development, prefabricated intelligent construction has emerged as a key pathway for enhancing efficiency, quality control, resource utilization, and full life-cycle management. Yet existing studies remain largely confined to single-technology applications, local process optimization, or isolated engineering cases, lacking a systematic grasp of the field’s development trajectory, knowledge structure, research hotspots, and future challenges. Addressing this gap, this study presents a bibliometric review aimed at clarifying the research evolution, core knowledge domains, technological frontiers, and application-oriented challenges in prefabricated intelligent construction. Based on the Web of Science Core Collection, 583 journal articles published from 2015 to 2025 were retained after standardized search and screening. Using VOSviewer and bibliometrix, the study analyzed publication trends, subject distribution, national and institutional collaboration, author networks, keyword co-occurrence, thematic clustering, and research frontiers. Compared with traditional narrative reviews, this approach integrates quantitative bibliometric analysis with thematic content interpretation, constructing a panoramic and dynamic analytical framework for the field. Research shows that prefabricated intelligent construction underwent a leap from initial exploration to rapid expansion during 2015–2025, with publications and citations from 2023–2025 accounting for 76.16% and 84.07% of the total sample, respectively, establishing it as an active research frontier. In the global landscape, China contributes prominently in output volume, while Australia, the United States, the United Kingdom, and Germany demonstrate relatively high per-publication impact. The disciplinary structure is dominated by engineering, construction, and building technology, supported by multidisciplinary intersections, forming three major research hotspots: the integration of prefabricated construction and intelligent technologies, process innovation and intelligent equipment, and structural performance and engineering applications. In essence, this field represents a full life-cycle construction paradigm arising from the deep coupling of industrialization, digitalization, intelligence, and performance control. Future breakthroughs are needed in four dimensions: full life-cycle data standards, digital twin-driven closed-loop platforms, equipment–process collaborative optimization, and multi-scenario engineering validation to drive the transition toward large-scale application.
Sustainable transformation of agri-food systems has become increasingly important as environmental pressures intensify, resource availability declines, and global food demand rises. This study presents a structured review of sustainable business models in agri-food systems, examining their contributions to environmental performance, economic resilience, and sustainability trade-offs. Approximately 60 academic publications published between 2010 and 2024 were analyzed to evaluate theoretical foundations, sectoral applications, and enabling mechanisms, including digitalization, circular economy practices, and governance frameworks. Unlike previous studies focused on specific sustainability practices or sectors, this review provides an integrated assessment of environmental performance, economic resilience, and sustainability trade-offs within sustainable agri-food business models. The findings indicate that sustainable business models integrate ecological considerations into value creation, improve resource efficiency, and strengthen resilience across sectors such as aquaculture, dairy, and wine production. Sustainability outcomes are shaped by tensions among economic growth, ecological limits, and social equity, resulting in uneven and context-dependent outcomes. Digitalization and circular economy approaches create opportunities for innovation, resource optimization, and value recovery, but also introduce challenges related to energy consumption, data governance, unequal access, and implementation costs. Stakeholder engagement, performance measurement, and supportive institutions emerge as critical drivers of sustainability transitions. Thus, sustainable business models can enhance environmental performance and economic resilience, although their effectiveness depends on governance quality, equitable access to innovation, and the management of environmental, economic, and social trade-offs.
Sepsis remains the leading cause of acute respiratory distress syndrome (ARDS) and cardiovascular dysfunction in the ICU. Sepsis-induced cardiomyopathy (SCM) and sepsis-associated ARDS frequently coexist and share overlapping mechanisms, including cytokine-driven injury, endothelial disruption, microvascular dysfunction, and mitochondrial abnormalities. Despite their clinical relevance, these entities are often evaluated in isolation, overlooking the integrated heart-lung interactions that characterize severe sepsis and ARDS. This narrative review synthesizes current evidence on the shared pathophysiology and diagnostic approach to cardiomyopathy and lung injury in sepsis-associated ARDS, emphasizing the physiologic links that unify these syndromes. We review the immunologic, endothelial, and metabolic mechanisms that drive concurrent myocardial depression and alveolocapillary injury, with particular attention to microcirculatory failure, autonomic dysregulation, and mechanical ventilation-associated cardiopulmonary interactions. We then review diagnostic tools, including echocardiography, lung ultrasound, CT imaging, biomarkers, and advanced hemodynamic monitoring, and highlight the impact of integrated assessment on accurate phenotyping and management. Cardiomyopathy and ARDS in sepsis arise from common pathophysiologic drivers and should be understood as a unified cardiopulmonary phenotype rather than isolated organ failures. Early multimodal detection is critical for optimizing management strategies and improving outcomes.
This study develops a dual-dimensional framework integrating development capacity and ecological function importance to assess ecological product value realization suitability across 76 cities in the Yellow River Basin. Using multi-source data and the CRITIC weighting method, we identified four suitability zones: suitable (25.02%), marginally suitable (6.11%), marginally unsuitable (38.59%), and unsuitable (30.28%). The basin generated an estimated USD 2.15 billion in ecological product value in 2020. We propose differentiated pathways, including ecologically safeguarded green industrial transformation in suitable zones, ecological restoration in marginally suitable zones, protection-oriented management in marginally unsuitable zones, and compensation mechanisms in unsuitable zones. Here, ‘suitable’ denotes conditional opportunity for low-impact value-realization instruments under ecological safeguards, not permission for unconstrained development. The framework links ecological-product accounting with spatial planning while acknowledging that social, cultural, and governance dimensions require complementary assessment.
