Search Results (369)

We introduce the Economic Productivity of Energy (EPE), GDP generated per unit of energy consumed, as a quantitative lens to assess the sustainability of the Artificial Intelligence (AI) revolution. Historical evidence shows that the first industrial revolution, pre-scientific in the sense that technological adoption preceded scientific understanding, initially disrupted this ratio: EPE collapsed as profits outpaced efficiency, with poorly integrated technologies, and recovered only with the rise in scientific knowledge and societal adaptation. Later industrial revolutions, such as electrification and microelectronics, grounded in established scientific theory, did not exhibit comparable declines. Today’s AI revolution, highly profitable yet energy-intensive, remains pre-scientific and may follow a similar trajectory in EPE. We combine this conceptual discussion with cross-country EPE data spanning the last three decades. We find that the advanced economies exhibit a consistent linear growth in EPE: these countries account for a large share of global GDP and energy use and are therefore expected to be most affected by the AI transition. Therefore, we advocate for regular monitoring of EPE: transparent reporting of AI-related energy use and productivity-linked incentives can expose hidden energy costs and prevent efficiency-blind economic expansion. Embedding EPE within sustainability frameworks would help align technological innovation with energy productivity, a critical condition for sustainable growth. Full article

White Spot Syndrome Virus (WSSV) remains one of the most devastating pathogens in global shrimp aquaculture, causing massive economic losses annually. This study employed comparative transcriptomics to elucidate the molecular basis of the differential resistance to WSSV between the highly susceptible Pacific white shrimp (Litopenaeus vannamei) and the remarkably resistant oriental river prawn (Macrobrachium nipponense). Our analysis of gill, hepatopancreas, and muscle tissues at 24 h post-infection revealed fundamentally distinct defense strategies. The resistant M. nipponense employs a unique “proactive homeostatic reinforcement” strategy, characterized by significant enrichment of pathways central to cellular homeostasis, including signal transduction, cellular processes, and transport/catabolism. This approach, supported by coordinated up-regulation of heat shock proteins and structural genes, enables effective viral control without triggering excessive immune activation. In contrast, susceptible L. vannamei displays either widespread metabolic dysregulation leading to systemic collapse in moribund individuals or dependency on specific immune pathways (Toll-like receptor signaling and apoptosis) in survivors. Through comparative KEGG analysis, we identified heat shock protein 70 kDa (HSP70, K03283) as a key conserved gene and functionally validated its critical role in antiviral defense using RNA interference. Knockdown of HSP70 in M. nipponense significantly increased cumulative mortality and viral load, confirming its essential protective function. These findings provide novel insights into crustacean antiviral immunity and identify promising genetic targets for breeding WSSV-resistant shrimp strains, offering sustainable solutions for disease management in aquaculture. Full article

This study aimed to evaluate the stock status of the Japanese flying squid (Todarodes pacificus), a critical fishery resource in the waters of Korea, China, and Japan. To achieve this objective, we employed the Bio-Economic Stock Assessment (BESA) model, which integrates catch and market price data to estimate the biological and economic parameters of Japanese flying squid biomass. The assessment results indicated that the current biomass level of Japanese flying squid is below the biomass at Maximum Sustainable Yield ($B_{\mathrm{MSY}}$), suggesting that the stock is overfished. Moreover, the findings from the BESA model were consistent with results obtained from the Monte Carlo Method (CMSY) and Bayesian State-Space (BSS) models, both of which also indicated a collapsed status. Unlike the CMSY and BSS models, which rely on catch and catch per unit effort (CPUE) data, the BESA model utilizes market price data from National Statistics and the Food and Agriculture Organization (FAO), thereby eliminating the need for CPUE standardization. Consequently, the BESA model presents an alternative framework that complements existing assessment methods and enhances the reliability of fishery stock evaluations through its integrated approach, suggesting its potential applicability to the stock assessment of Japanese flying squid in Korea. Full article

This study examines the structural evolution of Knowledge Innovation Networks (KINs) and Technology Innovation Networks (TINs) across Chinese cities (2015–2024). Using SCI/SSCI co-authorship and prefecture-level patent data, we construct dual-layer networks and assess their resilience through metrics such as average clustering coefficient, path length, global efficiency, and largest-component ratio. Our framework clarifies how network structure, spatial proximity, and urban hierarchy jointly shape innovation dynamics and opportunity distribution. Three main findings emerge. First, KINs have moved toward polycentricity yet remain hierarchically rigid, with persistent core–periphery gaps despite improved connectivity in tier 2–4 cities. TINs show greater cross-tier adaptability, creating new innovation gateways while intensifying intra-tier polarization. Second, under simulated disruptions, KINs are vulnerable to targeted attacks and exhibit path-dependent degradation, whereas TINs maintain efficiency until a critical threshold, then collapse abruptly. Third, MRQAP analysis reveals that economic and geographic proximity facilitate collaboration in KIN but constrain linkages in TINs, with spatial proximity exerting a stronger influence on knowledge flows. These results demonstrate how innovation networks mediate urban–rural interactions, affect spatial inequality, and shape regional resilience. We argue for differentiated policies that strengthen core–periphery connectivity while mitigating proximity-induced lock-in, fostering more inclusive, resilient, and sustainable urban innovation systems. Full article

Construction safety remains a critical concern, with frequent accidents leading to fatalities, severe injuries, and significant economic losses. To address these challenges and enhance accident prevention, this study adopts a systems thinking approach to investigate the causal factors of construction safety accidents. First, drawing on Rasmussen’s risk management framework, this study developed a Construction Accident Causation System (CACS) model that comprises six hierarchical levels and 23 influencing factors. Through the analysis of 331 investigation reports of construction accidents in China, causal factor correlations were refined, and the topological structure and network parameters of the model were determined. This study integrates diagnostic reasoning, sensitivity analysis, and fuzzy mathematics within a Bayesian Network (BN) framework. Through this approach, it identifies the most probable accident pathways and highlights seven critical and three sensitive factors that jointly exacerbate construction safety risks. A real-world case of a formwork collapse in Baotou City is further analyzed to verify the model’s reliability and practical relevance. The results confirm that the integrated CACS and BN framework effectively captures the multi-level interactions among managerial, behavioral, and technical factors, providing a scientific basis for proactive safety management and accident prevention in the construction industry. Full article

Socio-ecological systems (SESs) exhibit nonlinear feedback across environmental, social, and economic processes, requiring integrative analytical tools capable of representing such coupled dynamics. This study presents a quantitative framework that integrates a compartmental model of a global human–ecosystem with two complementary optimization approaches (Fisher Information (FI) and Multi-Objective Optimization (MOO)) to evaluate policy strategies for sustainability. The model represents biophysical and socio-economic interactions across 15 compartments, incorporating feedback loops between greenhouse gas (GHG) accumulation, temperature anomalies, and trophic–economic dynamics. Six policy-relevant decision variables were selected (wild plant mortality, sectoral prices (agriculture, livestock, and industry), base wages, and resource productivity) and optimized under temporal (25-year) and magnitude (±10%) constraints to ensure policy realism. FI-based optimization enhances system stability, whereas the MOO framework balances environmental, social, and economic objectives using the Ideal Point Method. Both approaches prevent the systemic collapse observed in the baseline scenario. The FI and MOO strategies reduce terminal global temperature by 11.4% and 15.0%, respectively, relative to the baseline (35 °C → 31.0 °C under FI; 35 °C → 29.7 °C under MOO). Resource-use efficiency, measured through the resource requirement coefficient (λ), improves by 8–10% under MOO (0.6767 → 0.6090) and by 6–7% under FI (0.6668 → 0.6262). These outcomes offer actionable guidance for long-term climate policy at national and international scales. The MOO framework provided the most balanced outcomes, enhancing environmental and social performance while maintaining economic viability. Overall, the integration of optimization and information-theoretic approaches within SES models can support evidence-based public policy design, offering actionable pathways toward resilient, efficient, and equitable sustainability transitions. Full article

The transmission tower-line system is subjected to long-term loads such as wind and ice, and the instability of the tower leg angle steel is one of the key factors leading to collapse. This paper proposes the partially restrained reinforced angle steel member (PRR-ASM), a method used to enhance the bearing capacity of the tower leg angle steel. By combining tests and simulation analyses, the reinforcement mechanism and engineering applicability of PRR-ASM were studied. Comparative analysis was performed on the gap working conditions of PRR-ASM, and compression tests on constraint gaps (0/2/4 mm) were conducted. The bearing capacity of partially constrained specimens increased by 31%, and the yield displacement increased by 92.2%. Analysis of constraint segment length showed that length significantly affects bearing capacity, and better improvement in stability performance can be achieved with partial constraint. Based on the test and simulation results, constitutive and simplified models were established, and PRR-ASM was applied to vulnerable members of the tower-line system. A two towers and three lines coupled model was constructed to analyze the structural failure mechanism. The results show that under the most unfavorable wind direction, the ultimate wind speed after reinforcement increased from 25 m/s to 32 m/s, and the member safety factor increased from 1.6 to 3.4. Considering high reinforcement efficiency and low economic cost in engineering, the gap-free, partially constrained scheme is recommended for engineering practice. Full article

Background: The intensification of aquaculture has led to increased use of chemical agents, such as trichlorfon, for controlling parasitic infections in farmed fish. While effective, this organophosphate compound may exert toxic effects even at sublethal concentrations, posing risks to economically important species such as tambaqui (C. macropomum). This study investigated the molecular effects of trichlorfon on the expression of genes involved in stress response, energy metabolism, and apoptosis in juvenile tambaqui. Methods: Fish were exposed to two sublethal concentrations of trichlorfon (30% and 50% LC_{50–96 h}, equivalent to 0.261 and 0.435 mg/L) for 48, 72, and 96 h. Expression levels of fkbp5, p53, pim-2, pir, me1, bbox1, and higd1a were quantified in liver tissue using qPCR. Results: fkbp5 and p53 were strongly upregulated at 48 h, indicating acute stress and genotoxic activation. me1 and pim-2 were also upregulated, reflecting activation of compensatory energy metabolism and anti-apoptotic survival pathways. bbox1 showed an early induction followed by collapse at 96 h, while higd1a and pir exhibited delayed overexpression at 96 h, suggesting mitochondrial hypoxia and inflammation. Conclusions: Trichlorfon triggers a multifaceted toxic response characterized by initial activation of compensatory pathways (stress response, antioxidant defense, and anti-apoptotic mechanisms) followed by late-phase metabolic collapse, mitochondrial hypoxia, and inflammation, with both time- and dose-dependent effects. These findings demonstrate that even sublethal concentrations disrupt hepatic homeostasis and support the use of these genes as molecular biomarkers for environmental monitoring in aquaculture. Full article

This study examines whether strengthened prudential supervision reduces the marginal influence of internal governance mechanisms on the performance of Saudi banks during the Vision 2030 reform period. Using a panel of ten listed Saudi banks from 2018 to 2024, governance measures are hand collected to align with Saudi Central Bank definitions, focusing on insider ownership and board independence. To address endogeneity arising from performance persistence and reverse causality, two-step system generalized method of moments with collapsed lagged internal instruments and Windmeijer-corrected standard errors are employed. The results reveal that insider ownership and board independence are statistically and economically insignificant for accounting performance and market valuation, whereas lagged performance remains the dominant predictor. Hansen J and Arellano–Bond AR(2) diagnostics support instrument validity, and robustness checks using alternative estimators and variable specifications produce consistent findings. The results suggest that in contexts where prudential oversight is comprehensive and consistently enforced, internal governance mechanisms may provide limited incremental monitoring value. However, they do not imply that boards or insiders are irrelevant during crises or when enforcement is uneven. Therefore, refining supervisory tools and disclosure practices should be prioritized over imposing additional structural mandates on boards or ownership configurations. Full article

This article explores Lebanese Christian digital presence within the framework of Sacred Algorithms: Religion in the Digital Age. In a society marked by economic collapse, migration, and religious plurality, digital platforms have become vital arenas for Christian witness, reshaping authority, belonging, and mission. The emergence of online clerical and lay initiatives shows how spiritual authority today is hybrid: rooted in sacramental legitimacy yet co-constructed through algorithmic visibility. The study develops four lines of analysis: the rise of digital spiritual authority in Lebanon and its negotiation within local and diaspora contexts; the ethical and theological challenges of surveillance and religious freedom in fragile environments; the successes and limitations of digital engagement, including the impact on parish life; and a theology of digital witness framed by proximity, synodality, solidarity, and mission in a multi-religious society. The Lebanese case highlights that algorithms are not neutral but powerful gatekeepers of religious presence. The central question is whether digital witness can remain faithful to the Gospel’s call to proximity, community, and transformation without being reduced to metrics of popularity and visibility. Full article

Designing buildings and structures that meet advanced mechanical safety standards is a relevant task in the present-day socio-economic environment, given that structural safety is evaluated by resistance to progressive collapse. The design of key elements, capable of withstanding accidental actions, means preventing the escalation of progressive collapse. This task also involves evaluating the bearing capacity of reinforced concrete beams under high-velocity impacts triggering supplementary dynamic loading by bending and torsion moments. The authors present their method for the dynamic load analysis based on the development of limiting surfaces. For this purpose, the value of the J-integral is computed to analyze the fracture of a rebar, and the inability of a rebar to take loads is simulated by a normalized time function. The resulting conclusion is that the proposed design method, applied to key elements of buildings and structures, improves their mechanical safety in the case of dynamic loading that causes local damage and triggers resistance to combined stress, including bending in two planes and torsion. It has been established that at a bending load level constituting 80% of its ultimate value or higher, a combined impact bending-torsional load, as low as 25% of its own ultimate capacity, can cause the rupture of tensile reinforcement and lead to a loss of mechanical safety in conventionally designed beams. Full article

This paper examines the period of rapid economic growth that followed World War II. The main focus of the analysis is on the factors that contributed to this era of prosperity, including economic reconstruction through the Marshall Plan, Keynesian policies of full employment and state intervention, and technological advancements that increased productivity and boosted international trade. At the same time, the paper explores the expansion of the welfare state, which improved living conditions, raised wages, and ensured social stability. The present research analyses economic inequalities between social groups and countries, the intersection between environmental degradation and intense industrial development, and structural weaknesses that arose during the studied period. Particular reference is also made to the social and political tensions associated with the labor movement and the rise in social demands, as well as the geopolitical challenges of the Cold War. Finally, the paper connects the Golden Age with the subsequent economic instability of the 1970s, marked by the collapse of the Bretton Woods system and the oil crises. While the 1950–1970 period left a positive legacy, it also revealed the limitations of a development model that was not entirely sustainable, leading to a gradual transition towards a new economic reality. Full article

At the European level, potato cultivation is highly polarized. In Western Europe (Germany, France, the Netherlands, Belgium, Denmark), yields are high, agricultural technology is advanced, and production systems ensure stability and competitiveness. In contrast, in Eastern and Southern Europe (including Romania, Poland, Italy, and Spain), yields are considerably lower due to the use of outdated agricultural practices, a low degree of mechanization, and increased exposure to adverse climatic factors. In Romania, potato cultivation is marked by significant territorial disparities and structural imbalances, influenced by land fragmentation, agro-pedoclimatic variability, and the lack of capital necessary for investments in modern technologies and irrigation systems. This study analyzes these regional disparities in relation to the country’s real agricultural potential and quantifies the economic impact of its failure to realize it. The methodology applied is based on descriptive statistical analysis of data at the county and regional level for the period 2003–2024, including minimum, maximum, average, and standard deviations of yields. These were integrated into a production function that correlates cultivated areas with average prices, highlighting major intra-regional differences and significant economic consequences at the national level. The results indicate a double crisis: a drastic reduction in the areas cultivated with potatoes (from 196,000 ha in 2017 to 76,000 ha in 2024) and consistently low yields (12,000–18,000 kg/ha), which led to the collapse of total production (from 3.1 million tons in 2017 to under 1 million tons in 2024). As a result, Romania registers a productivity three to four times lower than the reference Western European countries. Moreover, Romania has moved from being a net exporter to a net importer of potatoes, with the food self-sufficiency indicator decreasing from 100.3% in 2017 to 48.1% in 2023. Although domestic production could theoretically cover consumption needs, structural problems regarding yields, the sharp reduction in cultivated areas, and distribution deficiencies have seriously affected the balance of the domestic market. While per capita consumption has remained relatively constant, the decline in production has led, after 2021, to an increasing dependence on imports. These trends highlight the need for urgent structural reforms, technological modernization, and targeted agricultural policies to increase productivity and restore food security in the Romanian potato crop system. Full article

Subsidence over abandoned goaves is a primary trigger for secondary geological hazards such as surface collapse, landslides, and cracking. This threatens safe mining operations, impairs regional economic progress, and endangers local inhabitants and their assets. At present, goaf areas are mainly treated through grouting. However, owing to the deficiencies of traditional deformation monitoring methods (e.g., leveling and GPS), including their slow speed, high cost, and limited data accuracy influenced by the number of monitoring points, the surface deformation features of goaf zones treated with grouting cannot be obtained in a timely fashion. Therefore, this study proposes a method to analyze the spatio-temporal patterns of surface deformation in grout-filled goaves based on the fusion of Multi-temporal InSAR technologies, leveraging the complementary advantages of D-InSAR, PS-InSAR, and SBAS-InSAR techniques. An investigation was conducted in a coal mine located in Shandong Province, China, utilizing an integrated suite of C-band satellite data. This dataset included 39 scenes from the RadarSAT-2 and 40 scenes from the Sentinel missions, acquired between September 2019 and September 2022. Key results reveal a significant reduction in surface deformation rates following grouting operations: pre-grouting deformation reached up to −98 mm/a (subsidence) and +134 mm/a (uplift), which decreased to −11.2 mm/a and +18.7 mm/a during grouting, and further stabilized to −10.0 mm/a and +16.0 mm/a post-grouting. Time-series analysis of cumulative deformation and typical coherent points confirmed that grouting effectively mitigated residual subsidence and induced localized uplift due to soil compaction and fracture expansion. The comparison with the leveling measurement data shows that the accuracy of this method meets the requirements, confirming the method’s efficacy in capturing the actual ground dynamics during grouting. It provides a scientific basis for the safe expansion of mining cities and the safe reuse of land resources. Full article