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The article analyses how a norm scientific perspective can advance our understanding of cross-border regions and guide future directions of research. Cross-border regions are territorial spaces comprising territory from two or more national states, located directly at the borders of those spaces. Since the 1950s it has become increasingly common that cross-border organizations, constituted by local municipalities and regional authorities and sometimes private entities, are established to coordinate governance processes around shared policy problems. These organizations fit into a Type II model of European multi-level governance as complex, fluid, and carried out in overlapping jurisdictions. A norm scientific perspective focuses on joint expectations as a primary predictor of behavior and thereby on social structures as well as social transformations. In accordance with institutional theory, norms are understood as intersubjective, widely shared, but often implicit, expectations and rules that guide human behavior. The article makes two arguments. First, it argues that a norm-scientific perspective has the potential to significantly advance the scientific community's understanding of various aspects related to how cross-border cooperation emergence and functioning. Second, it argues that cross-border regions constitute a promising venue to advance the knowledge of how norms can be studied and understood. [ABSTRACT FROM AUTHOR]

The central Apennines are notoriously subject to important seismic sequences, such as the 2009 and 2016–2017, L'Aquila, Amatrice-Visso-Norcia (AVN) sequences, respectively. Here, we examine the temporal and spatial variation of the S-wave attenuation in Central Italy over a period from 2011 to 2017, including the AVN sequence. First, we computed the S-wave attenuation (Qβ) as a function of frequency Q(f) using the coda normalization method. Then, to visualize the spatial variation of the attenuation over time, we calculated the attenuation of coda waves using a novel 2D kernel-based function over the study area. Our results showed a 13% variation in S-wave attenuation between the pre-sequence (2011–2016) and the sequence phase, with a significant 37% decrease in Q (increase in attenuation) detected during the Visso period. Spatially, a high attenuation anomaly aligns with the Monti Sibillini thrust formation, while in time, we observed a northward migration of this high attenuation during the Norcia phase. Temporal variation in the crustal S-wave attenuation and its frequency dependence may be linked to fluid movement and fracturing developed during the AVN sequence. Coda-Q mapping confirmed an increase in attenuation during the sequence within the fault plane zones. Additionally, the broader area of interest reveals a northward extension of high attenuation, following the NS direction of the Monti Sibillini thrust. [ABSTRACT FROM AUTHOR]

Copyright of Dados - Revista de Ciências Sociais is the property of DADOS and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This study advocates a multi-criteria approach to improve the streamflow predictions in a data-scarce catchment of Chennai metropolitan city of India using the Soil Water and Assessment Tool (SWAT). The remotely sensed evapotranspiration (ET) data, groundwater recharge estimation, and parameter regionalization were used to improve model prediction. Dynamic change of Land Use and Land Cover (LULC) was accounted for along with multi-parameter calibration for reducing the uncertainty in model parameters. The results revealed an improved streamflow prediction accuracy by 10%, especially in the prediction of medium and high flows with the Nash-Sutcliffe efficiency of 0.60. The enhanced parameters were regionalized to ungauged sub-basins and validated using a measured flow event downstream of regionalization with 15% prediction uncertainty. This semi-arid catchment is dominated by ET (58%) and runoff (27%) in the region's hydrology. The finding of this study can be applied to improve the hydrological modelling and predictions in data-scarce regions. [ABSTRACT FROM AUTHOR]

The Social–Environmental System (SES) framework is crucial in understanding the intricate interplay between human societies and their environmental contexts. Despite its significance, existing SES delineation methods often rely on subjective judgment and struggle with the non-linear, multi-scale nature of SES data, leading to challenges in effective resource management and policymaking. This research addresses these gaps by proposing a novel, reproducible framework for SES boundary delineation that integrates both vector and raster data, utilizing advanced spatial optimization techniques and dimension reduction algorithms like UMAP to manage the non-linear characteristics of SES. The framework also leverages the SKATER algorithm for precise regionalization, ensuring spatial continuity and compactness while allowing user control over region selection and data dimensions. Applied to the Rio Grande/Bravo Basin, this approach demonstrates the practical utility and computational efficiency of the proposed method, offering a scalable solution adaptable to various regions. While focusing on this transboundary area, the study underscores how its framework can be generalized globally for addressing socio-environmental challenges while maintaining flexibility to accommodate local and regional specificities. The framework's reliance on open-source tools further enhances its accessibility and reproducibility, making it a valuable contribution to SES research and practical environmental management. [ABSTRACT FROM AUTHOR]

In this study, we extend our previous work on a two-dimensional convolutional neural network (2DCNN) for spatial prediction of groundwater nitrate, focusing on improving uncertainty quantification. Our enhanced model incorporates a fully probabilistic Bayesian framework and a structure aimed at optimizing both specific value predictions and predictive intervals (PIs). We implemented the Prediction Interval Validation and Estimation Network based on Quality Definition (2DCNN-QD) to refine the accuracy of probabilistic predictions and reduce the width of the prediction intervals. Applied to a model region in Germany, our results demonstrate an 18% improvement in the prediction interval width. While traditional Bayesian CNN models may yield broader prediction intervals to adequately capture uncertainties, the 2DCNN-QD method prioritizes quality-driven interval optimization, resulting in narrower prediction intervals without sacrificing coverage probability. Notably, this approach is nonparametric, allowing it to be effectively utilized across a range of real-world scenarios. [ABSTRACT FROM AUTHOR]

Abstract Some aspects of re-globalization were already fragmentary analyzed empirically in globalization and regionalization related research after the global financial crisis. These empirical studies suggest that re-globalization in terms of structural financial network changes did not start recently, but appears to be observed since the global financial crisis and might have been further amplified by pandemic and geopolitical tensions. The subject of re-globalization remains under-explored in current academic research, where existing studies mostly focus on theoretical aspects of re-globalization scenarios. Among possible future scenarios of re-globalization, most likely are discussed to be geographical regionalization mosaic, ally-based bipolar regionalization, and continuing globalization. Our research aims to test empirically if geographical regionalization during the post global financial crisis period has increased, bipolar regionalization has happened, or if globalization is continuing as suggested by re-globalization megatrend. Using dataset of investment flows among 234 countries during the period 2009–2020 we map 5-layer multiplex financial network and find that network appears to be already highly regionalized geographically, also globalization seems to be increasing, thus, regionalization and globalization appear to be not contradictory and mutually exclusive processes. Geographical regionalization did not increase in terms of shifting inter-regional investment to intra-regional territory. The world appears to have become bipolarly ally-regionalized with 2 main communities – US and Europe vs. China dominated blocs. However, Europe's role remains ambiguous, because not all of Europe is clustered with US, but rather its Eastern and Northern regions, while Western Europe clusters with China. Hence, the results of this research suggest friend-shoring rather than nearshoring.

INTRODUCTION: Pancreatic cancer (PC) surgery has been associated with improved outcomes and value when performed at high-volume centers (HVC; ≥20 surgeries annually) compared to low-volume centers (LVC). Some have used these differences to suggest that regionalization of PC surgery would optimize patient outcomes and expenditures. METHODS: A Markov model was created to evaluate 30-day mortality, 30-day complications, and 30-day costs. The differences in these outcome measures between the current and future states were measured to assess the population-level benefits of regionalization. A sensitivity analysis was performed to evaluate the impact of variations of input variables in the model. RESULTS: Among 5958 new cases of pancreatic cancer in California in 2021, a total of 2443 cases (41 %) would be resectable; among patients with resectable PC, a total of 977 (40 %) patients would undergo surgery. In aggregate, HVC and LVC 30-day postoperative complications occurred in 364 patients, 30-day mortality in 35 patients, and healthcare costs expended managing complications were $6,120,660. In the predictive model of complete regionalization to only HVC in California, an estimated 29 fewer complications, 17 fewer deaths, and a cost savings of $487,635 per year would occur. CONCLUSIONS AND RELEVANCE: Pancreatic cancer (PC) surgery has been associated with improved outcomes and value when performed at high-volume centers (HVC; ≥20 surgeries annually) compared to low-volume centers (LVC). Complete regionalization of pancreatic cancer surgery predicted benefits in mortality, complications and cost, though implementing this strategy at a population-level may require investment of resources and redesigning care delivery models.

Abstract Background Panarthropods, a major group of invertebrate animals comprised of arthropods, onychophorans, and tardigrades, are the only limb-bearing members of Ecdysozoa. The complexity and versatility of panarthropod paired limbs has prompted great interest in their development to better understand the formation of these structures and the genes involved in this process. However, studies of limb patterning and development are overwhelmingly focused on arthropods, followed by select work on onychophorans but almost entirely lacking for tardigrades. This model organism bias is inherently limited and precludes a comparative analysis of how panarthropod legs originated, have evolved, and the likely limb patterning genes present in the earliest panarthropod ancestors. In this study, we investigated tardigrade homologs of seven arthropod distal limb patterning genes (apterous, aristaless, BarH1, clawless, Lim1, rotund, and spineless) to better characterize tardigrade limb development in a comparative context. Results We detected homologs of all seven genes in the eutardigrade Hypsibius exemplaris and heterotardigrade Echiniscoides cf. sigismundi suggesting their conservation in both tardigrade lineages. Hybridization chain reaction experiments in H. exemplaris reveal a regionalized expression pattern for the genes aristaless, BarH1, clawless, rotund and spineless. Conclusion The observed regionalized expression of the distal limb patterning genes in H. exemplaris might reflect the external morphological features of tardigrade legs, such as the distal claws, sensory organs in the proximal region, and specific muscle attachment sites. The comparison between the expression of these limb patterning genes in H. exemplaris relative to other panarthropods suggests their conserved role in the last common panarthropod ancestor, such as establishing the distal limb end and the distribution of sensory structures. Our results support the hypothesis that tardigrade legs are homologous to the distal region of other panarthropod limbs, as suggested by previous work on the expression of leg gap genes in H. exemplaris.

In this study, we extend our previous work on a two-dimensional convolutional neural network (2DCNN) for spatial prediction of groundwater nitrate, focusing on improving uncertainty quantification. Our enhanced model incorporates a fully probabilistic Bayesian framework and a structure aimed at optimizing both specific value predictions and predictive intervals (PIs). We implemented the Prediction Interval Validation and Estimation Network based on Quality Definition (2DCNN-QD) to refine the accuracy of probabilistic predictions and reduce the width of the prediction intervals. Applied to a model region in Germany, our results demonstrate an 18% improvement in the prediction interval width. While traditional Bayesian CNN models may yield broader prediction intervals to adequately capture uncertainties, the 2DCNN-QD method prioritizes quality-driven interval optimization, resulting in narrower prediction intervals without sacrificing coverage probability. Notably, this approach is nonparametric, allowing it to be effectively utilized across a range of real-world scenarios.

Abstract Cervical cancer is a preventable disease that continues to burden socioeconomically underserved regions, especially in Africa. Vaccination of adolescents who have never had sex with prophylactic human papillomavirus (HPV) vaccines proves effective in preventing the disease. However, vaccine accessibility and availability are two persistent challenges in low-resource settings. For this commentary, a trend analysis is conducted for national HPV vaccination and coverage rates in Africa, a region with high burden of the disease. This is in consideration of the World Health Organization (WHO) strategy to vaccinate 90% of adolescent girls by the age of 15, as part of strategy to eliminate cervical cancer by 2030. The analysis estimated that the rate of incorporating HPV vaccination in national immunization programs in Africa occurs slowly, at a mean wait time of 12 years with estimated coverage rate of 52%. A policy change that harnesses strategic approaches, such as a regionalized vaccination program, is recommended to hasten HPV vaccination for the rest of African countries without a national program.

For biodiversity conservation and the development of protected areas, it is essential to create strategic plans that ensure the preservation and sustainable use of natural resources. Biogeography plays a crucial role in supporting these efforts by identifying and categorizing geographic areas (regionalization) that represent different biotas, as well as recognizing patterns in biodiversity distribution. Another application of regionalization is in planning species sampling and inventories. Developing a species list is vital for monitoring and understanding diversity patterns. This study focuses on the Palearctic region, specifically the areas between Morocco, the Iberian Peninsula, and France. Its aim is to compare different clustering algorithms—such as K-means++, DBSCAN, PD-clustering, Infomap, and federated heuristic optimization based on fuzzy clustering—with a reference regionalization, using environmental and soil data. Various spatial contiguity approaches were applied, including the third-degree polynomial model and principal coordinates. The results demonstrated that the hybrid approach offers a robust solution in the construction of the regions and that K-means++ and PDC produced regions with strong spatial similarity to the reference regionalization, closely aligning with the expected number of regions, especially at the biome level. Our study shows that a purely statistical regionalization can approximate a global reference regionalization, making it reproducible. [ABSTRACT FROM AUTHOR]

Background: Panarthropods, a major group of invertebrate animals comprised of arthropods, onychophorans, and tardigrades, are the only limb-bearing members of Ecdysozoa. The complexity and versatility of panarthropod paired limbs has prompted great interest in their development to better understand the formation of these structures and the genes involved in this process. However, studies of limb patterning and development are overwhelmingly focused on arthropods, followed by select work on onychophorans but almost entirely lacking for tardigrades. This model organism bias is inherently limited and precludes a comparative analysis of how panarthropod legs originated, have evolved, and the likely limb patterning genes present in the earliest panarthropod ancestors. In this study, we investigated tardigrade homologs of seven arthropod distal limb patterning genes (apterous, aristaless, BarH1, clawless, Lim1, rotund, and spineless) to better characterize tardigrade limb development in a comparative context. Results: We detected homologs of all seven genes in the eutardigrade Hypsibius exemplaris and heterotardigrade Echiniscoides cf. sigismundi suggesting their conservation in both tardigrade lineages. Hybridization chain reaction experiments in H. exemplaris reveal a regionalized expression pattern for the genes aristaless, BarH1, clawless, rotund and spineless. Conclusion: The observed regionalized expression of the distal limb patterning genes in H. exemplaris might reflect the external morphological features of tardigrade legs, such as the distal claws, sensory organs in the proximal region, and specific muscle attachment sites. The comparison between the expression of these limb patterning genes in H. exemplaris relative to other panarthropods suggests their conserved role in the last common panarthropod ancestor, such as establishing the distal limb end and the distribution of sensory structures. Our results support the hypothesis that tardigrade legs are homologous to the distal region of other panarthropod limbs, as suggested by previous work on the expression of leg gap genes in H. exemplaris. [ABSTRACT FROM AUTHOR]

Spring drought forecasting is essential in South Korea for managing water resources reliably and cultivating agricultural products efficiently, as seasonal rainfall difference often drives water shortage during spring. In the current study, a novel scheme for spring drought forecasting was suggested by extensively searching appropriate predictors from the global climate variable: here mean sea level pressure (MSLP) of the winter season due to its time lag for forecasting. The target series was estimated with the median of the spring precipitation series of the weather stations over South Korea, called the accumulated spring precipitation (ASP). A number of points of the MSLP data were detected as significant cross‐correlation with the ASP and also the points were regionally grouped. Therefore, the regionalization for the high correlation points was performed, resulting in three regions, such as Arctic Ocean (R1), South Pacific (R2), and South Africa (R3). The R1 and R2 regions are located at the places where climate indices have been developed such as Arctic Oscillation and North Atlantic Oscillation for R1 and the indicator of El‐Nino and Southern Oscillation for R2. The generalized linear model (GLM) was adopted in ASP drought forecasting with the driven three regionalized indices as the predictors of the ASP. The result indicates that the regionalized indices can produce a good performance in forecasting the ASP. The forecasting result can be employed as a good tool for managing water resources and planning better cultivation in agriculture industries. [ABSTRACT FROM AUTHOR]

River cross-section characteristics are not available for many regions of the world, and they are generally expressed as hydraulic geometry (HG) relationships. These relationships usually represent average characteristics of a region, which can generate biased estimates in smaller basins. Therefore, to improve the representation of river channel geomorphological characteristics, the objective of this study was to use a large database of river cross-section geometries to refine HG relationships for five river basins in Brazil. HG relationships were developed for the entire basins and for hydraulically homogeneous regions, obtained through a geographical convenience method. The relationship between the coefficients of the geometric relationships and morphoclimatic characteristics was assessed, showing a trend between precipitation and slope and the coefficients of the depth relationships. The estimated bankfull width and depth values were also compared to observed data and global datasets, showing an improvement in estimates with the more refined HG relationships. [ABSTRACT FROM AUTHOR]

Statistical tools are crucial for a variety of hydrological applications, whether to model processes and enhance understanding and knowledge or to design infrastructure systems. Given the rapid evolution of statistical methods and the need for a solid theoretical foundation for their correct application, a multidisciplinary community STAtistics in HYdrology Working Group (STAHY-WG) aggregated under the International Association of Hydrological Sciences (IAHS) umbrella to contribute to this research field. Now, more than 15 years since its inception, this paper summarizes the main achievements of this productive community collaboration in four (of many) branches of statistical hydrology: extreme value analysis, multivariate analysis, time series analysis, and regionalization. The aim is to provide an overview of recent developments, offer practical suggestions (e.g. software packages), and outline future challenges to support scientists and practitioners in their endeavours within the realm of statistical hydrology studies. [ABSTRACT FROM AUTHOR]

Recent research into the snake vertebral column has highlighted the importance of considering regionalization and its implications for the life history of snakes. Our research delves into the distinctions in vertebral column morphology and regionalization within the snake family Colubridae, comparing arboreal and terrestrial species. Our results provide significant support for dissociation between two pre-cloacal regions: the 'pre-atrial' (anterior to heart) and the 'post-atrial' (posterior to heart). Furthermore, the two ecological groups display distinct proportional compositions between the two pre-cloacal regions and the one post-cloacal region (caudal); arboreal species tend to possess a higher proportion of caudal vertebrae, whereas terrestrial species exhibit a higher proportion of post-atrial vertebrae. Our study reveals that the axial morphology of arboreal species is distinct from that of terrestrial species; however, this was not attributable to a convergent evolution process. By estimating the evolutionary history of vertebral number in each region between the ecological groups, we find each region has a unique pattern, further highlighting evolutionary disassociation between the regions. This study adds to the growing evidence on regionalization of the pre-cloacal snake vertebral column and underscores the importance in continuing to develop our understanding of snake evolution. [ABSTRACT FROM AUTHOR]

Background: The Centers for Medicare and Medicaid Services (CMS) price transparency rule tries to facilitate cost-conscious decision-making. For surgical services, such as pancreaticoduodenectomy (PD), factors mediating transparency and real-world reimbursement are not well described. Methods: The Leapfrog Survey was used to identify United States hospitals performing PD. Financial and operational data were obtained from Turquoise Health and CMS Cost Reports. Chi-square tests and modified Poisson regression evaluated associations with reimbursement disclosure. Two-part logistic and gamma regression models estimated effects of hospital factors on commercial, Medicare, and self-pay reimbursements for PD. Results: Of 452 Leapfrog hospitals, 295 (65%) disclosed PD hospital or procedure reimbursements. Disclosing hospitals were larger (beds > 200: 81.0% vs. 71.3%, p = 0.04), reported higher net margins (0.7% vs. − 2.1%, p = 0.04), more likely for-profit (26.1% vs. 6.4%, p < 0.001), and teaching-affiliated (82.0% vs. 65.6%, p < 0.001). Nonprofit status conferred hospitalization reimbursement increases of $8683–$12,329, while moderate market concentration predicted savings up to $5066. Teaching affiliation conferred reimbursement increases of $4589–$16,393 for hospitalizations and $644 for procedures. Top Leapfrog volume ratings predicted an increase of up to $7795 for only Medicare hospitalization reimbursement. Conclusions: Nondisclosure of hospital and procedural reimbursements for PD remains a major issue. Transparency was noted in hospitals with higher margins, size, and academic affiliation. Factors associated with higher reimbursement were non-profit status, academic affiliation, and more equitable market share. Reimbursement inconsistently tracked with PD quality or volume measures. Policy changes may be required to incentivize reimbursement disclosure and translate transparency into increased value for patients. [ABSTRACT FROM AUTHOR]

Copyright of Revista Foco (Interdisciplinary Studies Journal) is the property of Revista Foco and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

AbstractThe concept of regions has long been crucial for understanding and managing Earth’s phenomena, leading to regionalization, aggregating smaller areas into larger, contiguous, and homogeneous regions to achieve specific goals. Open-source regionalization is gaining traction because it reduces dependence on commercial software and fosters wider adoption in analysis and decision-making. However, these packages, often designed by experts for specialized tasks, can be challenging to understand and utilize due to domain-specific jargon and functionalities, especially for unfamiliar users. A prevalent disconnect must be addressed: How can we make a complex optimization approach available to a broad audience with various backgrounds? This study introduces RegionDefiner, a Large Language Modeling (LLM)-powered conversational agent, to comprehensively understand the functionality, inputs, outputs, and potential applications of regionalization problems. We selected it as an illustrative example due to its wide-ranging potential for delineating study regions in various applications. RegionDefiner is designed to guide users in framing their problems, collecting necessary data, and implementing solution approaches in a straightforward and user-centric manner. The experiments demonstrate that RegionDefiner interprets and presents the results in an understandable way for all audiences, thus bridging the gap between intricate computations and practical problem-solving needs. [ABSTRACT FROM AUTHOR]

Squamates have independently evolved an elongate, limb-reduced body form numerous times. This transition has been proposed to involve either changes to regulatory gene expression or downstream modification of target enhancers to produce a homogeneous, deregionalized axial skeleton. Analysis of vertebral morphology has suggested that regionalization is maintained in snake-like body forms, but morphological variation in the other primary component of the axial skeleton, the dorsal ribs, has not been previously examined. We quantified rib morphology along the anterior–posterior axis in limbed and snake-like squamates to test different regionalization models. We find that the relative position of regional boundaries remains consistent across taxa of differing body types, including in the homoplastic evolution of snake-like body forms. The consistent retention of regional boundaries in this primaxial domain is uncorrelated with more plastic abaxial region markers. Rather than loss of regions, rib shape at the anterior and posterior of the axis converges on those in the middle, resulting in axial regions being distinguishable by allometric shape changes rather than by discrete morphologies. This complexity challenges notions of deregionalization, revealing a nuanced evolutionary history shaped by shared functions. [ABSTRACT FROM AUTHOR]

Background: Patients undergoing emergency general surgery (EGS) often require complex management and transfer to higher acuity facilities, especially given increasing national efforts aimed at centralizing care. We sought to characterize factors and evaluate outcomes associated with interhospital transfer using a contemporary national cohort. Methods: All adult hospitalizations for EGS (appendectomy, cholecystectomy, laparotomy, lysis of adhesions, small/large bowel resection, and perforated ulcer repair) ≤2 days of admission were identified in the 2016-2020 National Inpatient Sample. Patients initially admitted to a different institution and transferred to the operating hospital comprised the Transfer cohort (others: Non-Transfer). Multivariable models were developed to consider the association of Transfer with outcomes of interest. Results: Of ~1 653 169 patients, 107 945 (6.5%) were considered the Transfer cohort. The proportion of patients experiencing interhospital transfer increased from 5.2% to 7.7% (2016-2020, P < .001). On average, Transfer was older, more commonly of White race, and of a higher Elixhauser comorbidity index. After adjustment, increasing age, living in a rural area, receiving care in the Midwest, and decreasing income quartile were associated with greater odds of interhospital transfer. Following risk adjustment, Transfer remained linked with increased odds of in-hospital mortality (AOR 1.64, CI 1.49-1.80), as well as any perioperative complication (AOR 1.33, CI 1.27-1.38; Reference: Non-Transfer). Additionally, Transfer was associated with significantly longer duration of hospitalization (β + 1.04 days, CI + .91-1.17) and greater costs (β+$3,490, CI + 2840-4140). Discussion: While incidence of interhospital transfer for EGS is increasing, transfer patients face greater morbidity and resource utilization. Novel interventions are needed to optimize patient selection and improve post-transfer outcomes. [ABSTRACT FROM AUTHOR]

Canadian immigration programs are increasingly emphasizing regionalization in order to contribute to the population base of smaller Canadian communities and to address local labour market needs. Despite frequent Canadian national surveys of public attitudes toward immigrants and immigration, however, little is known about the warmth of the welcome presented to immigrants in regions outside of the large metropolises. The current study involved a representative survey of attitudes toward immigrants and immigration in eleven smaller communities across Canada, including Kamloops (BC), Wood Buffalo (AB), Prince Albert (SK), Brandon (MB), Thunder Bay (ON), Greater Sudbury (ON), Saint-Hyacinthe (QC), Bathurst (NB), Charlottetown (PEI), Cape Breton (NS), and St. John’s (NL). The study also examined the extent to which individual demographic characteristics and two community variables – the size of the community and the immigrant share of the community population – predicted these attitudes. While there were differences between the surveyed communities, overall, residents of these communities were relatively satisfied with Canada’s immigration levels, were quite willing to believe that refugee claimants are “real” refugees and that the Federal Government has control over who can immigrate, and supported bringing in immigrants who have the work skills that the country needs. They were less sure of the integration of immigrants into Canadian society in terms of adopting Canadian values. Younger, female, White and highly educated residents of these communities were more likely to hold positive immigration attitudes. Furthermore, immigrant respondents were more likely to hold positive attitudes toward immigration and less likely to believe that immigrants are not adopting Canadian values and that the government has lost control over who can immigrate. At the community level, residents in communities in which immigrants constitute a higher share of the population were more likely to express negative attitudes toward immigrants and immigration. Overall, the findings provide some optimism for the positive reception that immigrants are likely to receive in smaller Canadian communities. They also demonstrate, however, that attitudes in these communities are not uniform and provide information for community leaders and policy-makers about who is most likely to benefit from interventions to promote more positive attitudes. [ABSTRACT FROM AUTHOR]

Determining the optimal number of regions is a challenging issue in regionalization. Although cluster validity indices developed for non-spatial clustering have been used to determine the optimal number of regions, spatial contiguity constraints for regionalization are often neglected. Consequently, different regionalization results can share the same validity index value, which reduces the reliability of identifying the optimal number of regions in regionalization. To overcome this limitation, this study proposes a spatially constrained statistical approach for determining the optimal number of regions using two metrics: (i) a permutation-based variance for measuring the homogeneity within regions and (ii) a proportion index based on spatially constrained k-nearest neighbors to quantify the separation between regions. Furthermore, a distance-based method is employed to balance these two metrics to automatically determine the optimal number of regions. Experimental results on five synthetic datasets, the US presidential election and climate datasets show that the statistical approach developed in this study outperforms three widely used cluster validity indices in determining the optimal number of regions. The proposed statistical approach is straightforward to implement and can effectively reduce subjectivity in regionalization. [ABSTRACT FROM AUTHOR]

Current procedures to establish vertebral column regionalization (e.g., histology) in fish are time consuming and difficult to apply. The aim of this study was to develop a more rapid and accurate radiology‐based method for Atlantic salmon (Salmo salar). A detailed analysis of 90 animals (4 kg) led to the establishment of region‐specific radiographic hallmarks. To elucidate its transferability to other salmonid species, radiography was carried out in brown trout (Salmo trutta), Arctic char (Salvelinus alpinus), rainbow trout (Oncorhynchus mykiss), pink salmon (Oncorhynchus gorbuscha), and Chinook salmon (Oncorhynchus tshawytscha). This method was also evaluated for whole ungutted fish. The vertebral column of Atlantic salmon can be subdivided into five regions (R1–R5) based on anatomy: postcranial (R1, V1, and V2), abdominal (R2, V3–V26), transitional (R3, V27–V36), caudal (R4, V37–V53), and ural (R5, V54–V59). The following specific radiographic hallmarks allow the identification of regions: (i) lack of ribs in R1, (ii) modified parapophysis of the first vertebra of R3, (iii) prominent hemal spine of the first vertebra of R4, and (iv) the separated hemal spine of the most cranial pre‐ural vertebra of R5. These hallmarks were all transferable to the other salmonid species assessed. The results include a further description of various region‐specific characteristics in Atlantic salmon. The method was found applicable for sedated/whole ungutted fish, verifying it as quick and easy compared to other regionalization methods. The regions defined by radiology in this study agree with the vertebral column regions recently defined for Chinook salmon (O. tshawytscha). Thus, and considering the results of this study on various salmonid species, the currently developed regionalization protocol can be generally used for salmonids. [ABSTRACT FROM AUTHOR]

Current implementations of hybrid life cycle assessment (LCA) mostly do not fully exploit valuable information from multi‐regional input–output databases by aggregating regional supply chains to the lower geographical resolution of process LCA databases. We propose a method for sampling the various individual regions within the aggregated regional scope of LCA processes. This sampling maximizes the information content of hybrid LCA footprint results by preserving the regional variance, and it allows for regional price distributions from BACI/UN‐COMTRADE international trade statistics to be used to simultaneously improve the accuracy of the hybrid model. This work makes the previously hidden regional and price variance explicit and analyzes uncertainty of the hybrid carbon (global warming potential 100, GWP100) and land use footprints arising from these variances, both separately and in combination. We find that the median process footprint intensity increases by 7−3+18%$7^{+18}_{-3}\%$ for the GWP100 due to hybridization, and 90−23+143%$90^{+143}_{-23}\%$ for the land use footprint. Results show that the magnitude of the footprint uncertainty strongly depends on the product sector of the LCA process and environmental impact considered. In a case study of Swiss household consumption, we find truncation error estimates of 8.4−2.7+9.2%$8.4^{+9.2}_{-2.7}\%$ for the GWP100 and 36−14+64%$36^{+64}_{-14}\%$ for the land use footprint. Our results highlight the importance of regionalization of process LCA databases, as it has the potential to significantly improve both the precision and accuracy of derived hybrid LCA models. This article met the requirements for a gold/gold JIE data openness badge described at http://jie.click/badges. [ABSTRACT FROM AUTHOR]

Copyright of Journal of the Japanese Society of Pediatric Surgery is the property of Japanese Society of Pediatric Surgeons and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Foco (Interdisciplinary Studies Journal) is the property of Revista Foco and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The article analyses how a norm scientific perspective can advance our understanding of cross-border regions and guide future directions of research. Cross-border regions are territorial spaces comprising territory from two or more national states, located directly at the borders of those spaces. Since the 1950s it has become increasingly common that cross-border organizations, constituted by local municipalities and regional authorities and sometimes private entities, are established to coordinate governance processes around shared policy problems. These organizations fit into a Type II model of European multi-level governance as complex, fluid, and carried out in overlapping jurisdictions. A norm scientific perspective focuses on joint expectations as a primary predictor of behavior and thereby on social structures as well as social transformations. In accordance with institutional theory, norms are understood as intersubjective, widely shared, but often implicit, expectations and rules that guide human behavior. The article makes two arguments. First, it argues that a norm-scientific perspective has the potential to significantly advance the scientific community's understanding of various aspects related to how cross-border cooperation emergence and functioning. Second, it argues that cross-border regions constitute a promising venue to advance the knowledge of how norms can be studied and understood.

The central Apennines are notoriously subject to important seismic sequences, such as the 2009 and 2016–2017, L’Aquila, Amatrice-Visso-Norcia (AVN) sequences, respectively. Here, we examine the temporal and spatial variation of the S-wave attenuation in Central Italy over a period from 2011 to 2017, including the AVN sequence. First, we computed the S-wave attenuation (Qβ) as a function of frequency Q(f) using the coda normalization method. Then, to visualize the spatial variation of the attenuation over time, we calculated the attenuation of coda waves using a novel 2D kernel-based function over the study area. Our results showed a 13% variation in S-wave attenuation between the pre-sequence (2011–2016) and the sequence phase, with a significant 37% decrease in Q (increase in attenuation) detected during the Visso period. Spatially, a high attenuation anomaly aligns with the Monti Sibillini thrust formation, while in time, we observed a northward migration of this high attenuation during the Norcia phase. Temporal variation in the crustal S-wave attenuation and its frequency dependence may be linked to fluid movement and fracturing developed during the AVN sequence. Coda-Q mapping confirmed an increase in attenuation during the sequence within the fault plane zones. Additionally, the broader area of interest reveals a northward extension of high attenuation, following the NS direction of the Monti Sibillini thrust.

Several studies indicate that economic infrastructures play a great role in promoting regional integration. The increase in infrastructural investments demonstrates a certain convergence in advancing regional integration. To this end, this article intends to analyze whether or not China’s growing infrastructure investment since 2000 has been bringing about socio-political and economic integration in the Horn of Africa. Thus, the principal objective of this article is to critically examine the nature of Chinese infrastructure projects in the Horn of Africa from the perspective of regional integration. For the purpose of the present discussion a qualitative research approach was employed, and both primary and secondary data were collected and analyzed. Accordingly, the study proved that Chinese infrastructure projects haven’t played an integrative role in the Horn of Africa for different reasons: China’s little commitment to support regional peace and security initiatives; lack of a clear road map regarding the execution of various projects; lack of awareness concerning the role of RECs for integration; the existence of fragmented lending culture; uneven distribution of infrastructure projects between countries; and China’s greater obsession with national than regional matters are among them.

Cities are making infrastructure investments to make travel by bicycle safer and more attractive. A challenge for promoting bicycling is effectively using data to support decision making and ensuring that data represent all communities. However, ecologists have been addressing a similar type of question for decades and have developed an approach to stratifying landscapes based on ecozones or areas with homogenous ecology. Our goal is to classify street and path segments and map streetscape categories by applying ecological classification methods to diverse spatial data on the built environment, communities, and bicycling. Piloted in Ottawa, Canada, we use GIS data on the built environment, socioeconomics and demographics of neighborhoods, and bicycling infrastructure, behavior, and safety, and apply a k-means clustering algorithm. Each street or path, an intuitive spatial unit that reflects lived experience in cities, is assigned a streetscape category: bicycling destination; wealthy neighborhoods; urbanized; lower income neighborhoods; and central residential streets. We demonstrate how streetscape categories can be used to prioritize monitoring (counts), safety, and infrastructure interventions. With growing availability of continuous spatial data on urban settings, it is an opportune time to consider how street and path classification approaches can help guide our data collection, analysis, and monitoring. While there is no one right answer to clustering, care must be taken when selecting appropriate input variables, the number of categories, and the correct spatial unit for output. The approach used here is designed for bicycling application, yet the methods are applicable to other forms of active transportation and micromobility.

Purpose – This article focuses on regional-level cooperation in higher education by examining the functional, organizational and political approaches (FOPA) framework for higher education regionalization and using supra-national regional universities as established and successful examples of regional-level higher education cooperation among countries. Design/methodology/approach – A conceptual framework is used to provide the structure for analyzing the key approaches to higher education regionalization, followed by an analysis of supra-national regional universities to demonstrate the application of the model. Findings – The FOPA framework for higher education regionalization includes three approaches. The first is the functional approach, which includes both collaborative academic and research activities among higher education institutions as well strategies and policies to help align systems across a region. The second is the organizational approach, which focuses on networks, organizations, institutions and programs, which facilitate partnerships. The third is the political approach, which includes regional-level agreements, declarations and strategic plans to promote higher education collaboration. Key higher education activities for each approach are discussed in generic terms, with examples provided from major regions of the world. Research limitations/implications – The research was based on desk research only. No interviews were conducted. Practical implications – A conceptual analysis and a model were provided for the concept of regionalization of higher education and for regional universities, which can help readers locate their interests and research in the regionalization of higher education. Examples of three different types of regional universities were provided to give concrete illustrations of a regional university. Social implications – One of the rationales driving regional universities is to address and increase a sense of regional identify and to meet the social, economic and educational needs of the specified region. Originality/value – Regional universities, such as the University of West Indies, Arab Open University and the Pan-Africa University, are an understudied phenomenon. Using them as innovative and sustainable examples of higher education regional cooperation and the FOPA model, this study illustrates how single-campus, multiple-campus and virtual regional universities are functioning to meet the diversified needs and priorities across a region through cooperation among countries.

Life cycle inventory (LCI) databases, such as ecoinvent, are crucial for life cycle assessment (LCA), but lack country‐specific resolution in activity details and trade between regional activities in the supply chain. For example, ecoinvent only provides rest‐of‐world and European datasets for photovoltaic panel production, consuming the same global consumption mix of photovoltaic cells. Global or continental activities and trade limit the use of existing country activities, such as electricity production, and the accuracy and granularity of LCA results. We addressed this issue by disaggregating ecoinvent's global and continental unit processes to the country level and by regionalizing trade using country‐sector‐specific consumption mixes of product origins from the multiregional input–output table EXIOBASE. This produced a consistently regionalized ecoinvent at country level. Comparing the climate change impacts of 195,708 non‐market datasets in our regionalized ecoinvent with reference datasets in ecoinvent reveals manufacturing sectors as the most affected. The study of photovoltaic panel production shows that the differences in climate change impacts are mainly due to the different country‐specific suppliers of components and their electricity mixes, which are lost in the aggregated original data. The water consumption impacts of wheat production show the country differences only when regionalized CFs are applied, indicating that regionalized biosphere and technosphere flow amounts are needed for better results. The mapping quality between ecoinvent and EXIOBASE and inconsistent market definitions were discussed along with further limitations. Our study highlights the potential of incorporating better trade information and regional disaggregation in LCI databases to improve the LCA outcomes. [ABSTRACT FROM AUTHOR]

The Standardized Streamflow Index (SSI) has frequently been used to quantify drought by comparing periods of streamflow against a river's historical values. This study expands upon previous SSI methodologies by creating a more flexible, regionalized version of the metric for Iowa, a Midwestern state located in the central United States. Five drought regions were developed for Iowa that largely correspond to the state's Major Land Resource Areas. Several United States Geological Survey gauges were identified within each drought region and streamflow data were used to calculate daily water yields from 1960 to the present. SSI values calculated for both individual river sites and the entire drought region provide insights into the relative dryness of Iowa watersheds over the past several decades. The SSI methodology can be used to evaluate river dryness with limited data records and water yields of specific streams can be compared to each other and across the overall region. This study demonstrates the potential for developing versions of the SSI that enable real‐time calculations at a daily scale at locations with limited historical streamflow data. The new SSI metric may be a valuable tool for decision‐makers as state and federal agencies continue to identify and manage drought. [ABSTRACT FROM AUTHOR]

At a regional scale, decision-making in water resources management is based on the analysis of long-term, continuous observations of hydrometeorological variables including streamflow. Quite often, constraints such as paucity of observed flow data hinder scientific planning in ungauged watersheds of developing countries. In this context, we present an improved framework for predicting streamflow data in an ungauged tropical watershed (Jambhira) in eastern India utilizing coupled data analytics and the Soil and Water Assessment Tool (SWAT) for flow regionalization. In this study, the choice of different dimensionality reduction methods such as principal components analysis (PCA) and Isomap during the clustering stage, as well as the choice of inverse distance weighting (IDW) and physical similarity (PS) approaches for regionalization of SWAT model parameters for the ungauged watershed, are investigated. As a novel aspect, in this case study, we included certain seasonal climate characteristics and changed land-use composition of the study watersheds as pertinent features for clustering of homogeneous watersheds. The proposed framework is then evaluated for its possible limitations, namely, whether the integrated approaches yield the best estimates of hydrological model parameters for ungauged watersheds, and if they guarantee good performance across different flow regimes. The regionalization results for the pseudoungauged watershed (Govindpur, India) indicate that coupled PS-SWAT approach is the most efficient with R2 and Nash–Sutcliffe efficiency (NSE) values ranging from 0.75 to 0.83 and from 0.74 to 0.77, respectively. The hydrological model of the ungauged watershed (Jambhira) is developed using the regionalization framework, and using the simulated flows, flow duration curve (FDC) analysis is also performed. Analysis of regime-based flow characteristics reveals a declining trend in the magnitude of low and high flows by 4% and 22.2%, respectively, in Jambhira. [ABSTRACT FROM AUTHOR]

Copyright of Tsinghua Journal of Education is the property of Tsinghua University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)