Search Results (12,307)

This study examines the impact of digitalisation, innovation activity, demographic factors, and macroeconomic variables on employment in European Union countries within the framework of sustainable development. The empirical analysis is based on Eurostat panel data for 2015–2023 and applies regression analysis to identify the key determinants of employment. The results indicate that digitalisation demonstrates the strongest positive statistical association with employment, confirming its important role in labour market transformation and inclusive economic development. Expenditures on research and development also show a positive effect, highlighting the significance of innovation activity for employment growth. At the same time, GDP per capita does not exhibit a statistically significant relationship with employment, while education expenditure demonstrates a negative short-term effect. The findings suggest that digitalisation and innovation contribute not only to employment growth but also to the expansion of labour market participation opportunities for diverse social groups. The study contributes to the analysis of SDG 8 (Decent Work and Economic Growth), SDG 9 (Industry, Innovation and Infrastructure), and SDG 10 (Reduced Inequalities) by identifying the structural factors associated with employment dynamics in the digital economy. Full article

This paper investigates the evolution and driving mechanisms of the Coupling Coordination Degree (CCD) between urban development (UD) and ecological efficiency (EE) in the Yangtze River Delta (YRD) urban agglomeration. Using panel data for 27 cities from 2013 to 2023, a comprehensive evaluation model and the CCD model are used to measure the level of coordination across cities. A fixed-effects panel regression model is constructed to systematically examine the effects of economic development and education expenditure on CCD, focusing on the moderating role of education expenditure. The empirical results indicate that: (1) CCD in the YRD shows a clear upward trend, gradually shifting from disorder to coordinated development; (2) inter-city disparities remain evident, reflecting differences in development foundations, industrial structures, and governance capacities; (3) economic development significantly promotes CCD by providing material and institutional support for urban–ecological coordination; and (4) education expenditure strengthens this positive relationship by enhancing human capital accumulation and knowledge spillovers. The findings highlight the importance of integrating economic growth with human capital investment to promote green and high-quality urban development. Full article

This study analyzes a balanced panel of 41 Yangtze River Delta cities from 2006 to 2021 to assess whether and why economic growth has decoupled from industrial pollution. Furthermore, this study proposes a two-dimensional decoupling framework that combines Tapio elasticity with development stages, quantifies driver contributions using an LMDI–Tapio decomposition, and estimates spatial β-convergence in pollution intensity. Key findings include the following: (1) By 2021, all YRD cities exhibit decoupling, with heterogeneity across pollutants and cities. (2) Technological progress effect is the dominant enabler of decoupling, while economic development poses a significant barrier. (3) Industrial sulfur dioxide, smoke and dust intensity, and the composite industrial pollution index show notable spatial β-convergence, with smoke and dust intensity converging most rapidly. The results inform technology-focused policies and cross-city coordination in the YRD. Full article

Access to freshwater is one of the major global challenges, driven by population growth, industrial development, climate change, and increasing water stress, particularly in economically constrained regions. In this context, this study designs, builds, and experimentally and numerically evaluates an indirect solar concentration desalination system (ICST) composed of a humidification–dehumidification (HDH) subsystem thermally powered by a Linear Fresnel Concentrator (LFC) under the appropriate technology paradigm. The methodology integrates an experimental campaign conducted under real climatic conditions in Bucaramanga, Colombia, mathematical modeling based on mass and energy balances, and the implementation of a TRNSYS simulation model validated through qualitative and quantitative analyses using absolute and relative errors. Results showed close agreement between experimental and simulated data, with daily freshwater production deviations of 0.53 and 0.65 L/day in tests 04 and 05, respectively, while mean relative errors remained below 5% for the main thermal and productivity variables. Experimentally, an average freshwater production of 1.13 L/h was achieved, with a production gain ratio (GOR) of 0.32 and a recovery ratio (RR) of 0.021, while maintaining total dissolved solids below 500 mg/L. Economic assessment estimated a production cost of $0.065/L, demonstrating the technical and economic feasibility of the system for decentralized small-scale applications in regions with high solar irradiance throughout the year. Full article

As one of the three major bays in the Chinese Bohai Sea, Bohai Bay is located in a semi-encircled area consisting of three important provinces and cities with rich energy and fishery resources. The bay is not only a maritime gateway and transportation hub but also an important industrial base, energy production base, and port. In this study, we combined Landsat remote sensing and Geographic Information System technologies to extract the coastline of Bohai Bay from 2001 to 2021 and obtained the variation in coastline length by refinement vector processing. Sediment as the natural driver was quantitatively analyzed based on sand transport in the Yellow River and Hai River. Moreover, port construction was qualitatively analyzed as the anthropogenic driver. The results demonstrated that the coastline of Bohai Bay showed an overall growth trend in this period, with a total increase of 881.05 km in shoreline length; the main increase was in the artificial shoreline. The two natural driving factors, sediment and hydrodynamic conditions, were weak, and the anthropogenic driving factor, i.e., various human activities, played a dominant role in the variation in the Bohai Bay shoreline in the past 20 years. The extracted shoreline information is important not only for the rational and effective development and utilization of the various natural resources in the coastal zone of Bohai Bay but also for the plan to develop this important region in the future. Full article

The explosive growth of the Internet of Things (IoT) has brought an array of resource-constrained devices to domains such as smart homes, industrial automation, and healthcare, raising substantial cybersecurity challenges. Lightweight wireless protocols, such as Thread, Zigbee, and Z-Wave, are integral to IoT connectivity, but the degree to which their embedded cryptographic mechanisms satisfy formal cybersecurity certification schemes remains underexplored. This work draws primarily on recent peer-reviewed publications and major conference proceedings to rigorously evaluate Thread, Zigbee, and Z-Wave against the Common Criteria (CC) Functional Requirements for Cryptography (FCS) as specified in CC:2022 and the EU cybersecurity certification scheme on Common Criteria (EUCC). The assessment focuses on essential CC cryptographic components, including key generation (FCS_CKM.1), secure key distribution (FCS_CKM.2), agreement protocols (FCS_CKM_EXT.7), cryptographic operations (FCS_COP.1), and random bit generators (FCS_RBG.1). The analysis reveals that Thread demonstrates the strongest alignment with CC requirements by leveraging Advanced Encryption Standard—Counter with CBC-MAC mode (AES-CCM) authenticated encryption and Elliptic Curve Diffie-Hellman (ECDH)-based key exchange within a decentralized trust framework. Zigbee matches this cryptographic strength at the primitive level, but its dependency on a centralized Trust Center for key management complicates full compliance with key lifecycle and distribution controls. Z-Wave, especially through its S2 Security framework, improves by incorporating authenticated ECDH exchanges, though proprietary constraints and limited protocol transparency remain obstacles to independent assurance. This comparative study concludes that while all three protocols provide a baseline of robust cryptographic security, only Thread currently aligns with CC and EUCC certification schemes. Zigbee and Z-Wave will require additional protocol hardening and enhancement of cryptographic key lifecycle management to achieve comparable assurance levels. Ensuring conformance with formal cybersecurity standards is imperative for building trust and resilience across critical IoT infrastructures. Full article

The modernization of global energy infrastructure within the Industry 5.0 framework requires the use of high-strength steels and reliable joining technologies to ensure safe, sustainable pipeline transport. This study focuses on the analysis of heterogeneous welded joints formed between high-strength alloy steel (34KhN2MA/EN 34CrNiMo6) and an austenitic welded seam (ER 307). While austenitic welds mitigate the risk of cold cracking, they introduce significant structural and mechanical heterogeneity. To address this, the research proposes and validates a material homogeneity criterion (MHC) derived from the LM-hardness methodology. By analyzing the statistical dispersion of macrohardness (HRC) through indicators such as the Weibull homogeneity coefficient (m) and the coefficient of variation (ν), the study establishes a quantitative approach to assess material degradation and structural uniformity across key weld zones. Results demonstrate that macrohardness profiling effectively distinguishes between structurally heterogeneous regions near the weld axis characterized by low homogeneity coefficients (m = 4.04 < 10, A_m = 0.742 < 0.878), elevated variability (ν = 29.68% > 11.6%), and high technological damageability (D = 0.92 > 0.81, j_D = 11.87 > 4.38) with pronounced step-like variation in macrohardness (HRC ∈ [12.6; 47]), on the one hand, and stabilized homogeneous zones in the base material, where m = 24.89 > 10, A_m = 0.947 > 0.878, ν = 4.39% < 11.6%, D = 0.52 ⟶ 0, j_D = 1.09 ⟶ 0, and characteristic range of HRC = 47–55, on the other hand. This methodology provides a robust, quasi-non-destructive tool for enhancing predictive maintenance, digital twins, and the overall integrity management of “smart” pipeline systems. Full article

Iris sanguinea features upright, stiff leaves, making it an excellent cut-foliage material, with its tall leaf architecture greatly enhancing ornamental value in landscaping. However, during the leaf expansion phase, plants frequently exhibit loose foliage arrangement, excessive spreading, and compromised mechanical strength, culminating in lodging and a concomitant decline in ornamental quality. Plant height in I. sanguinea is strongly regulated by phytohormones. This study showed that exogenous GA at concentrations of 50 mg·L⁻¹, 100 mg·L⁻¹, and 200 mg·L⁻¹ increased seedling height by 5.7%, 8.8%, and 12.7%, respectively, through foliar spraying on I. sanguinea seedlings grown ex vitro in a greenhouse; conversely, PAC treatment at equivalent concentrations suppressed growth by 19.3%, 21.0%, and 22.2%, respectively. Two pivotal GA signaling components, GAI and GID1a, were isolated from I. sanguinea. Subcellular localization confirmed that both IsGAI and IsGID1a proteins localize to the nucleus. Overexpression vectors pCAMBIA1300-IsGAI-GFP and pCAMBIA1300-IsGID1a-GFP were constructed and expressed in Arabidopsis thaliana. Transgenic lines overexpressing IsGAI showed significantly reduced plant height, hypocotyl elongation, and bolting, whereas IsGID1a overexpression promoted these traits. Exogenous GA application partially reversed the dwarf phenotype induced by IsGAI overexpression and further potentiated the height enhancement observed in IsGID1a-overexpressing lines. This study identifies two key genes controlling plant height and provides a theoretical basis and genetic resources for precisely engineering plant architecture in I. sanguinea. This is especially important for developing dwarf varieties with enhanced ornamental and agronomic traits, offering significant potential in the landscaping and cut flower industries. Full article

Background: A lean crystal engineering study was performed on the early pre-clinical POLθ inhibitor MSC178 to enable sufficient exposure for high-dose PK studies. Methods: COSMOquick-derived excess enthalpies in combination with a toxicological assessment of co-formers were used for the selection of four co-formers. Experimental crystallization trials were performed in a staged approach from a 15 mg scale, over a 50 mg upscale, to a final g-scale upscale of the most promising co-crystal form with 2,4-DHBA. Results: The 2,4-DHBA co-crystal form revealed more enhanced and sustained supersaturation plateaus in FaSSIF compared to the amorphous free base form, the 3,4-DHBA co-crystal form, and the 1,2-EDSA salt form. Moreover, the 2,4-DHBA co-crystal form was shown to be physically stable in the suspension vehicle for the PK study. The high physical stability toward physical-form conversion in the suspension vehicle as well as the more sustained supersaturation plateau in the non-sink dissolution profile could be attributed to the intrinsic features of the crystal structure as well as the assessed surface hydrophilicity of the co-crystal particles, both suggesting that rather hydrophobic surfaces are present that help preferentially attract stabilizing surfactants from the dissolution medium (taurocholate) and from the suspension vehicle (polysorbate, methocel), respectively. Successful upscale of the 2,4-DHBA co-crystal form was achieved in the small g-scale, revealing mainly isotropic crystal growth in primary particles as well as a pronounced tendency toward isotropically shaped dendrite-like secondary particles, both favored by a multi-dimensional hydrogen bonding network being present. Excellent agreement was shown for the extent of in vitro supersaturation behavior and in vivo exposure gain in the high-dose PK study for the 2,4-DHBA co-crystal form versus the amorphous free form. Conclusions: The co-crystal strategy can be successfully developed in early pre-clinical industrial research with lean methodologies to optimize sub-optimal phys.-chem. properties of a free base compound to achieve improved and less variable in vivo exposure between animals in high-dose PK studies. Full article

The Gulf Cooperation Council (GCC) countries consistently rank among the highest per capita CO₂ emitters globally, yet rigorous empirical analysis of the structural drivers of these emissions in the post-Paris Agreement era remains scarce. This study investigates the determinants of CO₂ emissions per capita across six GCC economies—Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and the United Arab Emirates—over the period 2015–2022, using pooled ordinary least squares (OLSs) and country fixed effects (FEs) panel regression models with country-clustered standard errors. The focal explanatory variable is energy use per capita, complemented by GDP per capita, trade openness, urbanization, foreign direct investment (FDI), and industry value added as controls. A quadratic income term explicitly tests the environmental Kuznets curve (EKC) hypothesis. Results consistently show that energy use is the dominant driver of emissions. The EKC hypothesis is supported in the FE framework. The implied turning point of approximately USD 85,500 per capita (constant 2015 USD) is already exceeded by Qatar (panel mean: USD 114,835) and approached by the UAE (USD 71,434), while Bahrain (USD 55,681), Kuwait (USD 51,531), Saudi Arabia (USD 61,232), and Oman (USD 38,591) remain on the EKC’s rising slope, consistent with their continued emissions’ growth trajectories. Urbanization exerts a significant positive within-country effect on emissions. Trade openness reduces emissions in cross-sectional specifications, while FDI is systematically insignificant. These findings support energy efficiency reforms, renewable energy expansion, and low-carbon urban planning as the most effective policy levers for GCC decarbonization. Full article

This paper introduces a dual-sector growth model to investigate the “circularity trap,” a phenomenon where increasing the Circular Material Use Rate (CMUR) leads to a decline in total value added per worker in developing economies. While circular economy policies are designed to promote sustainability, we demonstrate that in small open economies with a significant productivity gap between a high-tech manufacturing sector and a predominantly low-tech, labor-intensive recycling sector—a common feature in many low-income contexts—aggressive circularity targets can trigger a form of “Environmental Dutch Disease.” Using a Cobb–Douglas framework, we model the reallocation of labor driven by the processing of imported waste. We show that as the CMUR ($\varphi$) increases, labor is drawn away from manufacturing—a sector characterized by technological learning-by-doing—into the recycling sector, which lacks similar growth externalities. Our results indicate that the circularity trap occurs when the marginal gains from waste processing are outweighed by the structural loss of industrial capacity and the slowing of total factor productivity (TFP) growth. The paper concludes that for low-income nations, circularity policies must be coupled with internal technological innovation to avoid long-term economic stagnation and de-industrialization. Full article

The NAC transcription factor superfamily is one of the most prominent plant-specific regulatory gene families, extensively participating in multiple metabolic processes that govern plant growth, tissue development and stress adaptation. Masson pine (Pinus massoniana Lamb.) is a native dominant conifer widely cultivated across South China, whose timber resources possess great exploitation potential in pulp manufacturing and the paper industry. In this study, a total of 98 non-redundant NAC family members were mined at the genome-wide level. Functional validation revealed that PmNAC82, a member belonging to the VND evolutionary subgroup, acts as a core regulatory factor controlling wood formation. Subcellular localization tests confirmed PmNAC82 exclusively resides in the cell nucleus. Heterologous genetic transformation in poplar demonstrated that this gene positively regulates the accumulation of lignin and cellulose. Furthermore, through RT-qPCR, yeast one-hybrid assays, and EMSA, we confirmed that PmNAC82 can bind to the promoters of PtrMYB3, PtrMYB21 and PmCesA7. These findings provide a solid foundation for further investigation into the molecular functions of NAC genes in Masson pine as well as their potential application towards molecular breeding strategies aimed at improving wood quality. Full article

This study presents a rapid, eukaryotic impedimetric biosensor that applies the yeast Saccharomyces cerevisiae as a robust, cost-effective biorecognition element for monitoring the acute toxicity of two representative pharmaceuticals, naproxen and isoniazid, in aquatic systems. The biosensor utilizes a previously developed three-electrode system made from type 316 stainless steel. Yeast cells seeded onto these electrodes serve as the biosensing element. By monitoring changes in electrical impedance, the system quantifies the cellular stress induced by pharmaceutical exposure. Electrochemical Impedance Spectroscopy (EIS) revealed a concentration-dependent decrease in both resistance and capacitance, attributed to cell death and subsequent desorption from the working electrode surface. These findings were validated through optical density at 600 nm (OD₆₀₀) growth curve analysis and methylene blue viability staining, which confirmed metabolic inhibition and membrane damage. Results indicate a linear response for naproxen within the 2.5 mM to 20 mM range, with a LOD of 0.509 mM, and for isoniazid within the 10 mM to 100 mM range, with a LOD of 0.684 mM. Naproxen demonstrated a more pronounced cytotoxic effect, with cell viability dropping to 41.08% at 10 mM compared to 68.79% for isoniazid. While conventional analytical methods focus on chemical quantification, this proof-of-concept biosensor provides a rapid toxic/non-toxic signal, offering a biologically relevant tool for real-time monitoring of industrial waste streams and acute environmental contamination. Full article

Background: Reconfigurable Manufacturing Systems (RMSs) address the deficiencies of previous manufacturing systems with expandable capacity and capability to respond to dynamic demand. While research on RMSs has been ongoing for decades, comprehensive classifications and categorizations of RMS research and their supply chain implications are sparse. Methods: The PRISMA 2020 guidelines were used for a systematic literature review on the Scopus database covering peer-reviewed publications from 1990 to 2025, and 247 papers were analyzed based on a four-stream classification framework (research scope, industry sectors, type of research, and RMS characteristics) that was inductively derived. Furthermore, a three-level conceptual model connecting RMS characteristics with manufacturing capabilities and supply chain resilience was established. Results: RMS research, particularly post 2020, has seen significant growth. However, RMSs are mainly oriented to heavy industries, while process industries and supply chain implications have been understudied. The dominance of theoretical research over experimental/practical research points to a theory-practice gap. Modularity is the most frequent RMS characteristic, underpinning the others, while diagnosability, despite its operational importance, is the least studied one. Conclusions: RMSs have significant potential as a supply chain resilience enabler through their characteristics. Nevertheless, this relationship is mostly theoretical and untested in practice, requiring interdisciplinary and application-oriented research. Full article

The rate of urbanization in developing nations is on the rise; however, expedited urbanization concurrently precipitates the degradation of the urban water environment. Given the comparatively circumscribed data monitoring capabilities of developing nations, to check into internal factors that impact urban water quality and their interaction with limited data in a time of the growth of urbanization and assist developing countries in reconciling urbanization with the urban environment, this paper takes the vicennial development of two industrialized cities in China as a case study by constructing an index model based on a nonlinear improved analytic hierarchy process. The model parameters were calibrated and verified with data from Zunyi and Harbin cities in China. The results display that the root mean square errors of Zunyi’s and Harbin’s data were 0.093 and 0.096, respectively, manifesting satisfactory accuracy and the universality of the model. The dominating factors impacting urban water quality were further revealed by dissecting the model’s elements, which can provide accurate and scientific assistance in urban water quality management. Overall, these findings could help urban water quality management in developing countries, especially in regions where data monitoring is lacking. Full article