Neighboring Regions Research Articles

Effect of grain boundaries on the helium degradation mechanisms of alloy 800H: A molecular dynamics study

Alloy 800H is currently used as structural material in light-water cooled nuclear reactors, and it is also considered as candidate materials for various advanced reactor designs. Under operation, the exposure of alloy 800H to neutron irradiation results in the formation of helium (He), mainly from Ni by the transmutation reaction (n, α). In this work, we present a molecular dynamics (MD) simulation study of the behavior and effects of He on the microstructure and mechanical properties of alloy 800H. Our results show that the population of clusters made of 5 to 9 He atoms is nearly constant throughout the simulation time (10 ns), while the population of larger clusters increases as the simulation time increases. The growth of clusters is controlled by either the dissociation and diffusion of smaller clusters towards nearby larger clusters or the merging of larger clusters initially located nearby to each other. A significant accumulation of He is observed at the grain boundaries (GB), while a depletion zone is found at the neighboring regions. As a result, the density of He cluster is significantly higher at the GBs as compared to the intra-granular regions. The nucleation and growth of He clusters also results in the formation of Frenkel pairs (FP), whose associated self-interstitial atoms (SIA) agglomerate into interstitial clusters in the alloy 800H matrix. As a consequence, dislocation segments, mostly of the Shockley type, are generated in the microstructure, and often located next to He clusters. The combination of the aforementioned defect structures and the high density of He clusters at the GBs results in a substantial degradation of the mechanical properties of alloy 800H single crystal and bicrystals.

Geographic matching analysis between green finance development and carbon emissions in China’s new era of environmental transition

Green finance plays a pivotal role in driving sustainable development. While its effectiveness in promoting green development is well-established, the impact of regional heterogeneity on its outcomes warrants further investigation. By introducing the Spatial Durbin Model (SDM) model, we analyze the causal relationship between provincial carbon emissions and green finance development in China, accounting for spatial spillovers across provinces. A geographic mismatch between regions of green finance development and carbon emission concentration is revealed. Central and Western areas exhibit higher carbon emissions, indicating a greater need for targeted green finance initiatives to promote sustainable development. However, green finance growth in these areas remains sluggish. Moreover, carbon emissions hinder local green finance development and negatively impact neighboring regions. We present new insights into the influence of carbon emissions on green finance, highlighting the importance of inter-regional collaboration and the potential applicability to other countries facing similar challenges.

Regional perspective on prospects and risks of the renewable energy in Russia

AbstractThe expansion of renewable energy (RE) relies on both natural factors and socioeconomic conditions fostered at the regional level. This paper examines the key factors influencing RE development in selected Russian regions. We conducted a literature review, surveyed 250 industry experts, and analyzed reports from energy and rating agencies, along with natural resource maps, to identify specific risks and indicators. Our expert survey revealed that the most significant technical risks are low resource potential (68%), energy system surplus (68%), and the absence of transport logistics with neighboring regions (58%). Politically, the lack of additional sector initiatives (6%) was noted. Economically, the high cost of RE (56%) and insufficient experience with “green” investments (54%) were highlighted. Social factors included low unemployment rates (74%), and the absence of remote areas without power supply (72%). Environmentally, the lack of enterprises for energy unit utilization (84%), low greenhouse gas emissions (60%), and insufficient accessible territories for facilities (58%) were significant concerns. We developed risk profiles for nine Russian regions, categorizing them into leaders, intermediates, and nascent stages of RE market formation. Our findings indicate that the most impactful factors include resource potential, space limitations for energy facilities, proximity to equipment manufacturers, regional support measures, and the development of “green” investment instruments. Conversely, regional investment attractiveness had a lesser influence. On the basis of these insights, we recommend enhancing RE development through refined federal and regional support programs. We propose additional criteria for project selection: (1) minimum construction costs covered by “green” investments and (2) quantitative restrictions on new capacities, considering regional energy system status. Practical recommendations also include developing regional centers for servicing generating facilities and increasing the sector's investment attractiveness to stimulate private investment.

Muslims of Central Asia in Siberia in the Context of State‑Confessional Policy in the second half of the 19th – early 20th centuries

The Muslim population of Siberia represented an ethnically heterogeneous community, which included Tatars, as well as immigrants from Central and Central Asia, the Caucasus and other regions. Such polyethnicity and proximity to the Asian region, as one of the centers of Muslim culture, contributed to building contacts between Muslims of Siberia and Central Asia. Expansion of the territorial borders of the Russian Empire in the second half of the 19th century. and the government’s special interest in Central Asia has influenced the development of relations between the Muslim population of the two neighboring regions. The purpose of this study was to identify the main areas of interaction between the Muslim population of Siberia and Central Asia in the second half of the 19th – early 20th century, as well as to estimate the role of the state in regulating this process. Based on archival material, the author found that one of the areas of interaction of the Muslim population was organizing spiritual life. Despite the fact that the government, in an effort to extend its influence to the Asian region, provided support to the Muslim population in the second half of the 19th century, the same building codes were applied to the construction of religious buildings for Bukharans, as for all other Muslims. The closest contacts between the Muslims of Siberia and the Bukharians were built within the framework of pilgrimage trips, since often the way to Mecca for them lay through the territories of Central Asia. In addition, there were holy places in the region, which the Muslims of Siberia aspired to. This fact was of particular concern to the Government. The reforms initiated in the country aimed at limitation of the rights of the Muslim population have reduced the migration flow from the Asian region to Siberia. The government paid special attention to the missionary activities of the Russian Orthodox Church as a tool for involving Muslims of Siberia and Central Asia in the socio-cultural space of the empire.

The spatiotemporal analysis of SARS-CoV-2 transmission in China since the termination of the dynamic zero-COVID policy

China's dynamic zero-COVID policy has effectively curbed the spread of SARS-CoV-2, while inadvertently creating immunity gaps within its population. Subsequent surges in COVID-19 cases linked to various SARS-CoV-2 lineages post-policy termination necessitate a thorough investigation into the epidemiological landscape. This study addresses this issue by analyzing a comprehensive dataset of 39,456 high-quality genomes collected nationwide over an 11-month period since policy termination. Through lineage assignment, phylogenetic analysis, pandemic pattern comparison, phylodynamic reconstruction, and recombination detection, we found that China's post-epidemic period could be divided into three stages, along with dynamic changes in dominant lineages. Geographical clustering of similar lineages implies the importance of cross-border cooperation among neighboring regions. Compared to the USA, UK, and Japan, China exhibits unique trajectories of lineage epidemics, characterized by initial lagging followed by subsequent advancement, indicating the potential influence of diverse prevention and control policies on lineage epidemic patterns. Hong Kong, Shanghai, and Hubei emerge as pivotal nodes in the nationwide spread, marking a shift in the transmission center from east to central regions of China. Although China hasn't experienced significant variant emergence, the detection and validation of the novel recombination event, XCN lineage, underscore the ongoing virus evolution. Overall, this study systematically analyzes the spatiotemporal transmission of SARS-CoV-2 virus in China since the termination of the dynamic zero-COVID policy, offering valuable insights for regional surveillance and evidence-based public health policymaking.

WITHDRAWN: The impact of renewable energy development on regional carbon emission reduction: Based on the spatio-temporal analysis of 30 provinces in China

The development of renewable energy has become an important means for the world to cope with climate change, ensure energy security and protect the ecological environment. Using the panel data of 30 provinces in China from 2013 to 2021, this paper used the mediating effect model and the spatial Durbin model (SDM) to explore the mechanism and spatial effects of renewable energy development on carbon emission reduction. The results show that: (1) The results of mechanism analysis show that renewable energy development reduces carbon intensity by improving energy structure, promoting industrial structure optimization and industrial structure upgrading. (2) Renewable energy development can not only reduce the local carbon intensity, but also have a positive spillover effect on the carbon intensity of neighboring regions. (3) Further analysis shows that renewable energy development has a dynamic effect on carbon emissions. The heterogeneity analysis shows that compared with the Yellow River basin, renewable energy development significantly influences carbon emission reduction in the Yangtze River Economic Belt region. Energy-rich areas fall into the "resource curse", which makes renewable energy development’s carbon emission reduction effect not significant. This paper has certain reference significance for promoting reasonable decomposition between regions and formulating renewable energy development policies.

Description of six new species from Mesalina watsonana complex in the Iranian plateau and neighboring regions

Mesalina watsonana is a species complex with a wide distribution range in Iran, some parts of Turkmenistan, Afghanistan, Pakistan, and northwest India. Recent molecular and morphological investigations detected remarkable hidden diversity among the geographical populations of the complex, more likely referring to the persistence of undescribed species. In this study, we conducted a very detailed sampling of localities and carried out a morphological study to investigate populations within the complex. Investigation of morphological features within the M. watsonana species complex indicated that it consists of seven distinct populations. They include the West-Southeast-South, East-Northeast, East Dasht-e Kavir, West Dasht-e Kavir, and two central groups (Halil and Kerman groups). Considering our findings, each of the seven populations corresponding to distinct geographic regions should be recognized as species. The six new species include Mesalina khuzestanensis sp. nov., Mesalina halilica sp. nov., Mesalina kermanensis sp. nov., Mesalina ardestanica sp. nov., Mesalina bardaskanensis sp. nov., Mesalina esfarayensis sp. nov. which are distinctive from each other due to their unique morphological characteristics.

Inhibit or promote: Spatial impacts of multifunctional farmland use transition on grain production from the perspective of major function-oriented zoning

Ensuring global sustainable development depends on achieving food security, a goal intrinsically linked to the farmland's grain production capacity. Despite its critical importance, the comprehensive spatial effects of multifunctional farmland use transition (MFFUT) on grain production, particularly from a production-living-ecology perspective, remain insufficiently explored. Addressing this gap, this study employs geospatial analysis techniques and spatial econometric models to examine the spatial impacts of MFFUT on grain production in the Huang-Huai-Hai Plain (HHHP), North China, from the perspective of Major Function-oriented Zoning (MFZ) during 2000–2020. The findings reveal an overall upward trend in grain production in HHHP, with main agricultural production zones emerging as significant grain bases. MFFUT considerably enhances local grain production while suppressing production in neighbouring areas. Specifically, Production Function Farmland Use Transition (PFFUT) and Living Function Farmland Use Transition (LFFUT) stimulate grain production in both local and neighbouring areas, whereas Ecological Function Farmland Use Transition (EFFUT) negatively impacts neighbouring areas while simultaneously bolstering local production. The heterogeneous analysis demonstrates that MFFUT promotes grain production in different MFZs but adversely affects neighbouring regions within main agricultural production zones. Further analysis indicates that PFFUT, LFFUT, and EFFUT considerably enhance grain production across various MFZs. However, PFFUT and LFFUT detrimentally affect neighbouring grain production in main agricultural production zones. This research provides valuable insights for policymakers to formulate optimised land use allocation schemes, implement differentiated land use measures, and safeguard food security.

A visible-infrared person re-identification method based on meta-graph isomerization aggregation module

Due to different imaging principles of visible-infrared cameras, there are modal differences between similar person images. For visible-infrared person re-identification (VI-ReID), existing works focus on extracting and aligning cross-modal global descriptors in the shared feature space, while ignoring local variations and graph-structural correlations in cross-modal image pairs. In order to bridge the modal differences with graph-structure between key-parts, a Meta-Graph Isomerization Aggregation Module (MIAM) is proposed, which includes Meta-Graph Node Isomerization Module (MNI) and Dual Aggregation Module (DA). In order to completely describe discriminative in-graph local features, MNI establishes meta-secondary cyclic isomorphism relations of in-graph local features by using a multi-branch embedding generation mechanism. Then, the local features not only contain the limited information of the fixed regions, but also benefit from the neighboring regions. Meanwhile, the secondary node generation process considers similar and different nodes of pedestrian graph structure to reduce the interference of identity differences. In addition, the Dual Aggregation (DA) module combines spatial self-attention and channel self-attention to establish the interdependence of modal heterogeneous graph structure pairs and achieve inter-modal feature aggregation. To match heterogeneous graph structures, a Node Center Joint Mining Loss (NCJM Loss) is proposed to constrain the distance between the node centers of heterogeneous graphs. The experiments performed on the SYSU-MM01, RegDB and LLCM public datasets demonstrate that the proposed method performs excellently in VI-ReID.

Different sensitivity of postglacial vegetation to climate and human disturbance between Tibetan Plateau and its surrounding regions

Characterizing the ecosystems' response to environmental changes on Tibetan Plateau (TP), as well as elucidating the regional disparities of these changes across the plateau's surface and its neighboring regions, holds significance for safeguarding the ecological security of Asia. Here, an improved pollen-based biomization procedure, incorporating weighted taxa, was conducted to illustrate the spatial and temporal differences of vegetation changes in TP, Xinjiang and southwestern China over the past 21,000 years. Results showed that the vegetation changes in TP and Xinjiang were characterized by alternations among herbaceous biomes, while the southwestern China were featured by changes among various woody biomes. Asynchronous vegetation change rates (ROCs) were discovered among TP, Xinjiang and southwestern China. The ROCs in TP were generally low during the Last Glacial Maximum but rose abruptly and peaked in the late deglacial period, whereas Xinjiang and southwestern China had high and increasing ROCs during Holocene. Those trajectories might relate to different sensitivities of vegetation to climate change and human disturbances. Habitat limitation on TP should be pretty intense during glacial period, leading to rapid vegetation establishment after glacier retreat. While in Xinjiang, water availability was the most obvious limitation, making the vegetation change sensitive to moisture and atmospheric CO2 variations. The forest in Yunnan behaved the most stability but was characterized by vertical migration responding to deglacial warming. Holocene acceleration of ROCs aligned with intensified human activities in Xinjiang and southwestern China. To sum up, environmental conditions have been always important in determining post glacial vegetation changes in west China, but the ROCs were asynchronous due to different sensitivities of vegetation to climate change and human activity. Although the plateau's vegetation was quite stable during Holocene, the plateau terrestrial ecosystem may subject to increasing risk under accelerating global warming and intensifying human activities.

Comparative analysis of genetic diversity in wild and restored subtropical rainforest trees: Argyrodendron trifoliolatum, Ficus watkinsiana, and Diploglottis australis

Since European settlement of Australia, substantial areas of subtropical rainforest have been cleared. More recently, effort is being made to restore areas of this ecological community. The financial investment and increasing reliance on ecological restoration in biodiversity conservation justifies a need for better understanding of how to improve success at the genetic level. This research measures genetic diversity (allelic richness [Rs], expected heterozygosity [He], and inbreeding using Wright's coefficient [FIS]) for expected neutral DNA markers in three Australian subtropical rainforest trees—White booyong (Argyrodendron trifoliolatum), Watkin's fig (Ficus watkinsiana), and Native tamarind (Diploglottis australis). Wild and restored populations of these species were compared in two neighboring regions in Northeast New South Wales (the Tweed Caldera and the Big Scrub). There were no statistically significant differences in Rs or He between wild and restored populations for any of the target species. Inbreeding was significantly higher in one of the restored versus wild population comparisons: F. watkinsiana in the Tweed (restored F = 0.20; wild F = −0.02; p = 0.01). The comparable levels of genetic diversity observed in restored and wild populations targeted in this study are likely due to informed practitioner perspectives and practices, staged plantings over several years, and high genetic diversity and low genetic differentiation within source populations.

Spatial Markov matrices for measuring the spatial dependencies of an epidemiological spread : case Covid’19 Madagascar

BackgroundThis article applies a variant of the Markov chain that explicitly incorporates spatial effects. It is an extension of the Markov class allowing a more complete analysis of the spatial dimensions of transition dynamics. The aim is to provide a methodology for applying the explicit model to spatial dependency analysis.MethodsHere, the question is to study and quantify whether neighborhood context affects transitional dynamics. Rather than estimating a homogeneous law, the model requires the estimation of k transition laws each dependent on spatial neighbor state. This article used published data on confirmed cases of Covid’19 in the 22 regions of Madagascar. These data were discretized to obtain a discrete state of propagation intensity.ResultsThe analysis gave us the transition probabilities between Covid’19 intensity states knowing the context of neighboring regions, and the propagation time laws knowing the spatial contexts. The results showed that neighboring regions had an effect on the propagation of Covid’19 in Madagascar.ConclusionAfter analysis, we can say that there is spatial dependency according to these spatial transition matrices.

Role of green finance in regional heterogeneous green innovation: Evidence from China

Green finance plays a critical role in promoting regional green innovation. However, the precise influence of green finance on diverse facets of green innovation remains underexplored. This study empirically analyses the diverse effects of green finance on heterogeneous green innovation by applying the negative binomial model, the threshold model, andthe spatial error model using China’s regional data from 2010 to 2019. The results indicate that green finance has a positive impact on regional green innovation performance, primarily through significant contributions to fossil energy carbon reduction, energy conservation and recovery, and clean energy technology innovation. The effect of green finance is also influenced by the level of local environmental supervision, exhibiting a significant threshold effect. In addition, the development of green innovation in the region can have a siphoning effect on the resources of surrounding areas, hindering their innovation development. These findings highlight the necessity for strategic government policy-making, which should leverage the diverse impacts of green finance on various forms of green innovation. Customizing green financial instruments to suit regional environmental regulatory conditions and the green innovation levels of neighboring regions could significantly aid in promoting regional green transformation and growth.

Effectiveness of Area-to-Value Legends and Grid Lines in Contiguous Area Cartograms.

A contiguous area cartogram is a geographic map in which the area of each region is proportional to numerical data (e.g., population size) while keeping neighboring regions connected. In this study, we investigated whether value-to-area legends (square symbols next to the values represented by the squares' areas) and grid lines aid map readers in making better area judgments. We conducted an experiment to determine the accuracy, speed, and confidence with which readers infer numerical data values for the mapped regions. We found that, when only informed about the total numerical value represented by the whole cartogram without any legend, the distribution of estimates for individual regions was centered near the true value with substantial spread. Legends with grid lines significantly reduced the spread but led to a tendency to underestimate the values. Comparing differences between regions or between cartograms revealed that legends and grid lines slowed the estimation without improving accuracy. However, participants were more likely to complete the tasks when legends and grid lines were present, particularly when the area units represented by these features could be interactively selected. We recommend considering the cartogram's use case and purpose before deciding whether to include grid lines or an interactive legend.

Winding Number Features for Vector Sketch Colorization

AbstractVector sketch software (e.g. Adobe Illustrator, Inkscape) and touch‐interactive technologies have long aided artists in the creation of resolution‐independent digital drawings that mimic the unconstrained nature of freehand sketches. However, artist intent behind stroke topology is often ambiguous, complicating traditional segmentation tasks such as coloring. For inspiration, we turn to the winding number, a classic geometric property of interest for binary segmentation in the presence of boundary data. Its direct application for multi‐region segmentation poses two main challenges: (1) strokes may not be consistently oriented to best identify perceptually salient regions; (2) for interior strokes there is no “correct” orientation, as either choice better distinguishes one of two neighboring regions. Thus, we form a harmonic feature space from multiple winding number fields and perform segmentation via Voronoi/power diagrams in this domain. Our perspective allows both for automatic fill region detection and for a semi‐automatic framework that naturally incorporates user hints and interactive sculpting of results, unlike competing automatic methods. Our method is agnostic to curve orientation and gracefully handles varying gap sizes in the sketch boundary, outperforming state‐of‐the‐art colorization methods on these “gappy” inputs. Moreover, it inherits the ability of winding numbers to specify “fuzzy” boundaries, leading to simple strategies for color diffusion and single‐parameter‐driven growing and shrinking of regions.

Examining the distribution of Middle Paleolithic Nubian cores relative to chert quality in southern (Nejd, Dhofar) and south‐central (Duqm, Al Wusta) Oman

AbstractLithic raw material properties are often invoked to explain the presence, absence, form, or ontogeny of Paleolithic stone tools. Here, we explore whether the frequency of the Middle Paleolithic Nubian core form and core‐reduction systems co‐varies with toolstone quality in two neighboring regions in Oman: the southern region of Nejd, Dhofar, and the south‐central region of Duqm, Al Wusta. Specifically, we predicted that if raw material differences were influencing the distribution of Nubian cores, the chert would be of higher quality in the southern region, where Nubian cores were frequent, and of lower quality in the south‐central region, where they were scarce. We tested this prediction by collecting 124 chert samples from 22 outcrops and then quantitatively assessed two geochemical variables that are widely thought to influence knapping: impurity amount and silica content. We also examined the mineralogical composition, and the crystallite size and lattice strain for quartz (crystalline α‐SiO2) of representative chert samples. Our results suggest that the cherts in the two regions are similar, which is not consistent with the hypothesis that lithic raw material quality contributed to Nubian core spatial distribution in Oman. We discuss potential alternative hypotheses to explain Nubian core geographic patterning, and provisionally suggest that the scarcity of Nubian cores in south‐central Oman may be due to a concomitant scarcity of toolmakers, given a lack of water availability.

Spherically symmetric configurations in the quadratic f(R) gravity

We study spherically symmetric configurations of the quadratic f(R) gravity [f(R)=R−R2/6μ2]. In the case of a purely gravitational system, we have fully investigated the global qualitative behavior of all static solutions satisfying the conditions of asymptotic flatness. These solutions are proved to be regular everywhere except for a naked singularity at the center; they are uniquely determined by the total mass M and the “scalar charge” Q characterizing the strength of the scalaron field at spatial infinity. The case Q=0 yields the Schwarzschild solution, but an arbitrarily small Q≠0 leads to the appearance of a central naked singularity having a significant effect on the neighboring region, even when the space-time metric in the outer region is practically insensitive to the scalaron field. Approximation procedures are developed to derive asymptotic relations near the naked singularity and at spatial infinity, and the leading terms of the solutions are presented. We have investigated the linear stability of the static solutions with respect to radial perturbations satisfying the null Dirichlet boundary condition at the center and numerically estimate the range of parameters corresponding to stable/unstable configurations. In particular, the configurations with sufficiently small Q turn out to be linearly unstable. Published by the American Physical Society 2024

Characterization of seismic b-value around kopili fault and its neighboring region prior to 28th April 2021 earthquake

Characterization of seismic b-value around kopili fault and its neighboring region prior to 28th April 2021 earthquake

Asian rust of soybean favorability Mato Grosso-Brazil

This study presents the map that indicates favorable environmental conditions for the development of Asian soybean rust in Mato Grosso, for a given period. It’s about a plant's disease caused by the fungus Phakopsora pachyrhizi, which has soybean as its main host. By affecting the plantation, anticipates the ripening of the grains, which can considerably reduce your productivity. The map is the reproduction, for Mato Grosso, of the image developed by Alves et al. (2011) for the state of Minas Gerais, generated from a fuzzy logic-based rule system. The input variables for this system are temperature and leaf wetness duration, while the output is the area below the disease progression curve. To supply it, data were collected from automatic meteorological stations located in the state and neighboring regions. Records were made available hourly for January 2019. In possession of these results, for interpolation were tested the inverse distance weighting and kriging models. The method that showed the best results was the first, with an exponent equal to two.

Analysis of the Flow of Offenders to the Metropolitan Region of Chile

This study, based on data from 2015 to 2019 on the movement of offenders to the Metropolitan Region of Chile, uses Poisson and Negative Binomial models to analyze the flow of offenders from other Chilean regions. It confirms that factors such as gender, educational level, location of crime, and type of crime significantly motivate displacement. The profile of the typical offender is an educated man who commits crimes against property on public roads, coming mainly from neighboring and populated regions. These findings have implications for crime prevention, suggesting that strategies to prevent crime should take this into account. Future research at the commune level is proposed for a more detailed understanding of offender displacement patterns and to inform local crime-prevention strategies.