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Keywords = disequilibrium convergence

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35 pages, 12716 KiB  
Article
Bridging the Gap Between Active Faulting and Deformation Across Normal-Fault Systems in the Central–Southern Apennines (Italy): Multi-Scale and Multi-Source Data Analysis
by Marco Battistelli, Federica Ferrarini, Francesco Bucci, Michele Santangelo, Mauro Cardinali, John P. Merryman Boncori, Daniele Cirillo, Michele M. C. Carafa and Francesco Brozzetti
Remote Sens. 2025, 17(14), 2491; https://doi.org/10.3390/rs17142491 - 17 Jul 2025
Viewed by 418
Abstract
We inspected a sector of the Apennines (central–southern Italy) in geographic and structural continuity with the Quaternary-active extensional belt but where clear geomorphic and seismological signatures of normal faulting are unexpectedly missing. The evidence of active tectonics in this area, between Abruzzo and [...] Read more.
We inspected a sector of the Apennines (central–southern Italy) in geographic and structural continuity with the Quaternary-active extensional belt but where clear geomorphic and seismological signatures of normal faulting are unexpectedly missing. The evidence of active tectonics in this area, between Abruzzo and Molise, does not align with geodetic deformation data and the seismotectonic setting of the central Apennines. To investigate the apparent disconnection between active deformation and the absence of surface faulting in a sector where high lithologic erodibility and landslide susceptibility may hide its structural evidence, we combined multi-scale and multi-source data analyses encompassing morphometric analysis and remote sensing techniques. We utilised high-resolution topographic data to analyse the topographic pattern and investigate potential imbalances between tectonics and erosion. Additionally, we employed aerial-photo interpretation to examine the spatial distribution of morphological features and slope instabilities which are often linked to active faulting. To discern potential biases arising from non-tectonic (slope-related) signals, we analysed InSAR data in key sectors across the study area, including carbonate ridges and foredeep-derived Molise Units for comparison. The topographic analysis highlighted topographic disequilibrium conditions across the study area, and aerial-image interpretation revealed morphologic features offset by structural lineaments. The interferometric analysis confirmed a significant role of gravitational movements in denudating some fault planes while highlighting a clustered spatial pattern of hillslope instabilities. In this context, these instabilities can be considered a proxy for the control exerted by tectonic structures. All findings converge on the identification of an ~20 km long corridor, the Castel di Sangro–Rionero Sannitico alignment (CaS-RS), which exhibits varied evidence of deformation attributable to active normal faulting. The latter manifests through subtle and diffuse deformation controlled by a thick tectonic nappe made up of poorly cohesive lithologies. Overall, our findings suggest that the CaS-RS bridges the structural gap between the Mt Porrara–Mt Pizzalto–Mt Rotella and North Matese fault systems, potentially accounting for some of the deformation recorded in the sector. Our approach contributes to bridging the information gap in this complex sector of the Apennines, offering original insights for future investigations and seismic hazard assessment in the region. Full article
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22 pages, 3004 KiB  
Article
Defective Intracellular Insulin/IGF-1 Signaling Elucidates the Link Between Metabolic Defect and Autoimmunity in Vitiligo
by Silvia Caputo, Federica Papaccio, Ramona Marrapodi, Gianluca Lopez, Paolo Iacovelli, Alessia Pacifico, Emilia Migliano, Carlo Cota, Anna Di Nardo, Mauro Picardo and Barbara Bellei
Cells 2025, 14(8), 565; https://doi.org/10.3390/cells14080565 - 9 Apr 2025
Viewed by 843
Abstract
Background: Vitiligo is featured by the manifestation of white maculae and primarily results from inflammatory/immune-selective aggression to melanocytes. The trigger mechanism leading to the activation of resident immune cells in the skin still lacks a molecular description. There is growing evidence linking altered [...] Read more.
Background: Vitiligo is featured by the manifestation of white maculae and primarily results from inflammatory/immune-selective aggression to melanocytes. The trigger mechanism leading to the activation of resident immune cells in the skin still lacks a molecular description. There is growing evidence linking altered mitochondrial metabolism to vitiligo, suggesting that an underlying metabolic defect may enable a direct activation of the immune system. Recent evidence demonstrated the association of vitiligo with disorders related to systemic metabolism, including insulin resistance (IR) and lipid disarrangements. However, IR, defined as a cellular defect in the insulin-mediated control of glucose metabolism, and its possible role in vitiligo pathogenesis has not been proven yet. Methods: In this study, we compared the Ins/IGF-1 intracellular signaling of dermal and epidermal cells isolated from non-lesional vitiligo skin to that belonging to cells obtained from healthy donors. Results: We demonstrated that due to the intensified glucose uptake, S6, and insulin receptor substrate 1 (IRS1) chronic phosphorylation, their inducibilities were downsized, a condition that coincides with the definition of insulin resistance at the cellular level. Correspondingly, the mitogenic and metabolic activities normally provoked by Ins/IGF-1 exposure resulted in significantly compromised vitiligo cells (p ≤ 0.05). Besides all the vitiligo-derived skin cells manifesting an energetic disequilibrium consisting of a low ATP, catabolic processes activation, and chronic oxidative stress, the functional consequences of this state appear amplified in the keratinocyte lineage. Conclusion: The presented data argue for insulin and IGF-1 resistance collocating dysfunctional glucose metabolism in the mechanisms of vitiligo pathogenesis. In vitiligo keratinocytes, the intrinsic impairment of intracellular metabolic activities, particularly when associated with stimulation with Ins/IGF-1, converges into an aberrant pro-inflammatory phenotype that may initiate immune cell recruitment. Full article
(This article belongs to the Section Cellular Metabolism)
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19 pages, 3736 KiB  
Article
Study on the Spatial Differences, Dynamic Evolution and Convergence of Global Carbon Dioxide Emissions
by Lipeng Huang, Xiangyan Geng and Jianxu Liu
Sustainability 2023, 15(6), 5329; https://doi.org/10.3390/su15065329 - 17 Mar 2023
Cited by 6 | Viewed by 2233
Abstract
Reducing carbon emissions is essential for global sustainable development and has become a key concern around the world. In this study, we analyzed the spatial differences, dynamic evolution and convergence characteristics of global carbon dioxide (CO2) emissions in 92 countries from [...] Read more.
Reducing carbon emissions is essential for global sustainable development and has become a key concern around the world. In this study, we analyzed the spatial differences, dynamic evolution and convergence characteristics of global carbon dioxide (CO2) emissions in 92 countries from 1990 to 2021. The Dagum Gini coefficient, Kernel density analysis, Markov chain analysis and fixed effect model were used in this study. The results showed that, from the perspective of overall differences, the overall differences in global CO2 emissions during the study period showed a gradually increasing trend, and the inequality trend became more and more obvious. Based on the perspective of distribution dynamics, there is an obvious spatial disequilibrium of global CO2 emissions. In terms of the evolution law, its distribution dynamic law is relatively stable, the relative position of CO2 emissions is relatively stable, and different groups transfer to themselves with a greater probability. There is no obvious σ convergence in global CO2 emissions, but there is absolute β convergence. This study innovatively analyzed the differential characteristics of carbon dioxide emissions from a global perspective. The research results can provide a reference for clarifying countries’ carbon emission reduction responsibilities and promoting the green transformation of the global economy. Full article
(This article belongs to the Special Issue Carbon Emission Mitigation: Drivers and Barriers)
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29 pages, 3029 KiB  
Review
The Role of Diffusivity in Oil and Gas Industries: Fundamentals, Measurement, and Correlative Techniques
by Ram R. Ratnakar and Birol Dindoruk
Processes 2022, 10(6), 1194; https://doi.org/10.3390/pr10061194 - 15 Jun 2022
Cited by 36 | Viewed by 12574
Abstract
The existence of various native or nonnative species/fluids, along with having more than one phase in the subsurface and within the integrated production and injection systems, generates unique challenges as the pressure, temperature, composition and time (P-T-z and t) domains exhibit multi-scale characteristics. [...] Read more.
The existence of various native or nonnative species/fluids, along with having more than one phase in the subsurface and within the integrated production and injection systems, generates unique challenges as the pressure, temperature, composition and time (P-T-z and t) domains exhibit multi-scale characteristics. In such systems, fluid/component mixing, whether for natural reasons or man-made reasons, is one of the most complex aspects of the behavior of the system, as inherent compositions are partially or all due to these phenomena. Any time a gradient is introduced, these systems try to converge thermodynamically to an equilibrium state while being in the disequilibrium state at scale during the transitional process. These disequilibrium states create diffusive gradients, which, in the absence of flow, control the mixing processes leading to equilibrium at a certain time scale, which could also be a function of various time and length scales associated with the system. Therefore, it is crucial to understand these aspects, especially when technologies that need or utilize these concepts are under development. For example, as the technology of gas-injection-based enhanced oil recovery, CO2 sequestration and flooding have been developed, deployed and applied to several reservoirs/aquifers worldwide, performing research on mass-transfer mechanisms between gas, oil and aqueous phases became more important, especially in terms of optimal design considerations. It is well-known that in absence of direct frontal contact and convective mixing, diffusive mixing is one of most dominant mass-transfer mechanisms, which has an impact on the effectiveness of the oil recovery and gas injection processes. Therefore, in this work, we review the fundamentals of diffusive mixing processes in general terms and summarize the theoretical, experimental and empirical studies to estimate the diffusion coefficients at high pressure—temperature conditions at various time and length scales relevant to reservoir-fluid systems. Full article
(This article belongs to the Special Issue Gas Diffusivity in Reservoir-Fluid Systems)
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20 pages, 3868 KiB  
Article
Research on the Spatial Differences and Convergence Mechanism of Urban Land Use Efficiency under the Background of Regional Integration: A Case Study of the Yangtze River Economic Zone, China
by Kun Ge, Shan Zou, Danling Chen, Xinhai Lu and Shangan Ke
Land 2021, 10(10), 1100; https://doi.org/10.3390/land10101100 - 17 Oct 2021
Cited by 28 | Viewed by 2822
Abstract
Revealing the spatial differences and convergence mechanism of urban land use efficiency (ULUE) under the background of regional integration is of great significance for exploring the coordinated promotion path of ULUE. We attempted to build a theoretical framework to interpret ULUE spatial convergence [...] Read more.
Revealing the spatial differences and convergence mechanism of urban land use efficiency (ULUE) under the background of regional integration is of great significance for exploring the coordinated promotion path of ULUE. We attempted to build a theoretical framework to interpret ULUE spatial convergence under the background of regional integration and build a ULUE “green” evaluation system under multi-objective constraints. Based on this, we employed the super efficiency slack-based model (SBM), exploratory spatial data analysis, and spatial convergence model incorporated into the spatial weight matrix to re-examine the true level, spatial differences, and convergence mechanism of ULUE in the Yangtze River Economic Zone from 2003 to 2019 on a city scale. The results show that: (1) during the investigation period, ULUE in the Yangtze River Economic Zone has obvious spatial disequilibrium and spatial correlation characteristics; (2) there are absolute β-space convergence and conditional β-space convergence of ULUE in the whole Yangtze River Economic Zone and its upstream, midstream, and downstream areas; (3) driven by government management, industrial development, and spatial error effects, the convergence time of ULUE in the whole Yangtze River Economic Zone and its upstream, midstream, and downstream areas is obviously shortened. Full article
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13 pages, 2864 KiB  
Article
Environmental Epigenetics of Diesel Particulate Matter Toxicogenomics
by Stephanie M. Bilinovich, Kristy Lewis, Barbara L. Thompson, Jeremy W. Prokop and Daniel B. Campbell
Int. J. Environ. Res. Public Health 2020, 17(20), 7386; https://doi.org/10.3390/ijerph17207386 - 10 Oct 2020
Cited by 4 | Viewed by 3772
Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by disruptions in social communication and behavioral flexibility. Both genetic and environmental factors contribute to ASD risk. Epidemiologic studies indicate that roadway vehicle exhaust and in utero exposure to diesel particulate matter (DPM) are [...] Read more.
Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by disruptions in social communication and behavioral flexibility. Both genetic and environmental factors contribute to ASD risk. Epidemiologic studies indicate that roadway vehicle exhaust and in utero exposure to diesel particulate matter (DPM) are associated with ASD. Using the Comparative Toxicogenomics Database (CTD), we identified genes connected to DPM exposure and ASD, extracted the known enhancers/promoters of the identified genes, and integrated this with Assay for Transposase Accessible Chromatin (ATAC-seq) data from DPM-exposed human neural progenitor cells. Enhancer/promoter elements with significantly different chromosome accessibility revealed enriched DNA sequence motifs with transcription factor binding sites for EGR1. Variant extraction for linkage disequilibrium blocks of these regions followed by analysis through Genome Wide Association Studies (GWAS) revealed multiple neurological trait associations including exploratory eye movement and brain volume measurement. This approach highlights the effects of pollution on the regulatory regions of genes implicated in ASD by genetic studies, indicating convergence of genetic and environmental factors on molecular networks that contribute to ASD. Integration of publicly available data from the CTD, cell culture exposure studies, and phenotypic genetics synergize extensive evidence of chemical exposures on gene regulation for altered brain development. Full article
(This article belongs to the Special Issue Environmental Epigenetics: Implications for Health and Disease)
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14 pages, 1377 KiB  
Article
Research on the Disequilibrium Development of Output of Regional Innovation Based on R&D Personnel
by Xinbao Tian and Jiguang Wang
Sustainability 2018, 10(8), 2708; https://doi.org/10.3390/su10082708 - 1 Aug 2018
Cited by 10 | Viewed by 3056
Abstract
Regional innovation is of great significance to the sustainable development of a regional economy. However, there exists a disequilibrium development of output of regional innovation in China, which affects the imbalance of regional economic development to a certain extent. In order to explore [...] Read more.
Regional innovation is of great significance to the sustainable development of a regional economy. However, there exists a disequilibrium development of output of regional innovation in China, which affects the imbalance of regional economic development to a certain extent. In order to explore the process and mechanism of the disequilibrium development in regional innovation, a new perspective is adopted in this paper to analyze the index of R&D (research and development) personnel, which is an important input element of regional innovation output. The regional samples, including 31 provinces in China, are divided into three parts: eastern region, central region, and western region. First, developing the tendency and speed of the disequilibrium of regional innovation output are analyzed by using σ convergent model and β convergent model, respectively, during the period of analyzing the process of the disequilibrium development. Then, the LMDI (logarithmic mean Divisia index) method is used to analyze the character of regional innovation output by using R&D personnel as an important endogenous factor during the period of analyzing the mechanism of the disequilibrium development. At last, we draw the conclusion of the study. We find that: (i) there is a gap in the absolute amount between regions in a long term, but the gap between regions is shrinking and the speed of catching up between regions is different; (ii) the efficiency of R&D personnel is the most positive effect of promoting equilibrium. Full article
(This article belongs to the Special Issue Economic Geography: Location, Innovation and Sustainable Development)
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