Local Integration Research Articles

Cooperation for trans-regional electricity trading from the perspective of carbon quota: A cooperative game approach

Trans-regional electricity trading is a meaningful way to optimize resource allocation and achieve carbon peak and carbon neutrality goals. In this paper, we construct the trans-regional electricity trading cooperative game models considering the impact of local microgrid integration. Based on the cooperative game theory with coalition and graph structures, the optimal mode of trans-regional electricity cooperation and the impact of different carbon quota systems on cooperation profits are studied. The profits obtained through the trans-regional electricity trading are reasonably distributed by the profit distribution scheme based on the Owen graph value. The theoretical and numerical simulation results demonstrate that the local microgrid and the bulk power grid form a priori union, and then participate in the trans-regional electricity trading can obtain more profits. In addition, when the low-carbon policy on the demand side of electricity becomes more relaxed, the implementation of a carbon quota shared responsibility between producers and consumers will be more effective than producer responsibility. Compared with the Myerson value, the profit distribution scheme based on the Owen graph value is more suitable for distributing the profits obtained through trans-regional electricity trading.

Rethinking (local) integration: domains of integration and their durability in Kismayo and Garowe, Somalia

Amidst the ever-expanding debates in various academic and policy fields around migrant and refugee integration and local integration, we bring these two concepts in conversation with one another. Until very recently, theories of integration have had a state-centric focus in the Global North. This article expands and complicates this literature to focus on displaced Somalis within Somalia and its borderlands living in the cities of Kismayo and Garowe using mixed qualitative and quantitative methods in five displacement settlements. Toward this end, we use the often- engaged term “domains of integration” to frame integration. In our conceptualization, however, we incorporate the concept of “local integration” as a durable solution. In brief, we see the domains of integration as a productive concept in the Somali context. However, in Somalia, where clans are interwoven into the state, which lacks resources and power, clan affiliation represents social connections domains, yet also influences the state's role in the foundational domain of rights and citizenship and makers and means (employment, housing, education, health). International donors and NGOs, as well as international capitalist urban expansion also have a large role in these processes. As such, we argue that the ten domains of integration (discussed in detail below) intersect and blur to an even greater extent than in European and North American contexts, particularly around crucial issues such as housing, land, and property; a key factor in people's decisions to remain or leave.

Is Foreign Direct Investment Resilient Post the COVID-19 Pandemic? The Case of a Subnational Economy

The disruption brought about by the COVID-19 pandemic has been unprecedented in its global reach and unique impacts. While the literature has addressed the disruption effect on FDI at the country level, we provide a unique dive into the presence and development of FDI at a subnational location. We use detailed data on spatial and industrial distributions of FDI in the U.S. state of New Hampshire and find support for all our hypotheses related to post-disruption recovery and resilience. Given the varied impact of the pandemic on FDI across locations, and the heterogeneity in local conditions, we contend that the subnational recovery depends on the impact of the disruption and happens at varying levels and timelines. While the literature documented that foreign businesses choose to embed in their local host environments, few studies have considered empirically how the level of local integration affects FDI recovery after disruption. We propose that subnational locations with a high level of integration maintain relative strength in FDI post-disruption. The COVID-19 pandemic disruption presents an opportunity to evaluate FDI resilience. We postulate that existing FDI and spatial agglomerations of FDI-related activities impact the post-disruption resilience of FDI at a subnational location. The analysis concludes on actionable insights for researchers and practitioners regarding how to navigate the FDI inflows and activities at their specific location.

The influence of context on the implementation of integrated palliative care in an academic teaching hospital in South Africa.

Palliative care (PC) has been integrated to a limited extent in the South African healthcare system. Contextual factors may be a pivotal influence in this integration. This study aims to explore contextual factors that are possibly influencing the integration or lack thereof in an academic teaching hospital (ATH). A mixed-method study was conducted in a large ATH in South Africa. The mixed methods were conducted in parallel and then merged. Findings were integrated to describe the contextual factors influencing PC integration, to develop a timeline of implementation and assess the probable influence of context on the integration process. The mixed-methods phases included a narrative review of published literature related to health systems, integration of health interventions and PC in teaching hospital settings; followed by interviews, documentary and routine data analyses. Semi-structured interviews with purposively sampled participants provided the qualitative data. Primary national, provincial and organizational documents expanded the contextual phenomena and corroborated findings. Routine hospital admission and mortality data was statistically analysed to expand further and corroborate findings. All qualitative data was thematically analysed using deductive coding, drawing from the aspects of the contextual dimensions of integration. Enabling contextual factors for local PC integration were global and local advocacy, demonstrated need, PC being a human right, as well as the personal experiences of hospital staff. Impeding factors were numerous misconceptions, PC not valued as a healthcare priority, as well as limitations in functional elements necessary for PC integration: national and regional political support, leadership at all levels and sustainable financing. The normative and functional contextual aspects interplay at macro, meso and micro levels positively and negatively. How stakeholders understand and value PC directly and indirectly impacts on PC integration. Strategic interventions such as mandatory education are required to ensure PC integration. The health system is dynamic, and understanding the context in which the health system functions is core to the integration of PC. This may assist in developing integration strategies to address PC integration and the transferability of these strategies.

Time-reversibility and integrability of $ p:-q $ resonant vector fields

<abstract><p>We study the local analytical integrability in a neighborhood of $ p:-q $ resonant singular point of a two-dimensional vector field and its connection to time-reversibility with respect to the non-smooth involution $ \varphi(x, y) = (y^{p/q}, x^{q/p}). $ Some generalizations of the theory developed by Sibirsky for the $ 1:-1 $ resonant case to the $ p:-q $ resonant case are presented.</p></abstract>

Smugglers vs. Students: Migration Deterrence and Understandings of Risk Among Eritrean Refugees in Ethiopia

Between 2016 and 2019, Ethiopia began to implement a series of policies intended to deter the onward migration of Eritrean refugees. These policies were not limited to educating refugees about the risks of migration, but also used development and local integration to create conditions which would ostensibly make Ethiopia a better long-term hosting state. We argue that in order to understand whether these policies changed the way Eritrean refugees thought about migration from Ethiopia, we need to not only consider how refugees think about the risks of migration, but also understand how refugees think about the risks of staying in Ethiopia.

The Application of Digital Technology in the Conservation of Traditional Cultural Landscapes

Abstract The traditional digital protection system lacks the extraction and display of the landscape based on spatial information technology, resulting in an incomplete digital archive of the conventional landscape constructed. To optimize the traditional cultural landscape protection strategy, this paper constructs a specific technical route using digital technology. Inclined photogrammetry and 3D laser scanning technology are used to carry out 3D modeling of regional traditional cultural landscapes, and the combination of the results of the two can be used to visualize the spatial layout of the landscape in the protection of traditional cultural landscapes. Based on the 3D model, the landscape space was analyzed using spatial syntax. According to the spatial syntax, the integration degree, clustering coefficient, control degree, and average depth of the sight line of the landscape in City D were analyzed. The comprehensibility value of the landscape space in City D was 0.26, and the landscape identifiability was not high. The development of overall space and local space is inconsistent, and the ratio of global integration degree to local integration degree, R², is 0.45, with a low value and average correlation. By analyzing the specific situation of the landscape and constructing the resistance surface, we examine the various resistance factors faced by the protection of traditional cultural landscapes. The analysis results indicate that rural roads and settlements are more suitable for the construction of cultural landscapes.

Local Wisdom Integration in Islamic Education: Empowering Professionalism of Future Elementary School Educators

This study aims to analyze the religious character and independence of elementary school teacher candidates through Project Based Learning (PjBL) and the effect of the PjBL model on religious character and independence. This research is a combination research (Mixed Methods). The combined method design model used in this research is a sequential exploratory design. The subjects in this study totaled 120 elementary school teacher candidates in semester 6 who were joined in three classes. The first stage is to use a qualitative approach using data collection techniques through observation, interviews, and documentation through project-based learning. Test the validity of the data using triangulation techniques. The data analysis technique for the Miles, Huberman, and Saldana model consists of three stages: data condensation, data display, and conclusions. The next stage is a quantitative study using a quasi-experimental type with a nonequivalent control group design. The sampling technique used was simple random sampling, so two classes were selected as the experimental class and one class as the control class. Data collection techniques using a questionnaire. The data analysis technique uses a statistical test, the Mann Withney-U test. The results of the analysis show that: 1) the project-based learning model can be used to strengthen the religious character and independence of prospective elementary school teachers as an effort to foster professionalism; 2) Project-based learning has a significant effect on the religious character and independence of prospective elementary school teachers with respective significance values of 0.002 and 0.003 meaning less than 0.05; 3) Religious character in terms of gender shows that women have a higher religious character than men; 4) Independence in terms of gender shows that men have higher independence than women

Enhancing Refugee Protection: A Case Study of the Global Protection Cluster Approach and Local Wisdom Integration for Rohingya Refugees in Aceh, Indonesia

This article examines the implementation of a global protection cluster approach and local wisdom for Rohingya refugees in Aceh, Indonesia. The global protection cluster approach emphasizes collaboration between various stakeholders to ensure the protection and assistance of refugees. This approach is complemented by the integration of local wisdom, which takes into account the cultural, social, and economic aspects of the host community, to create a more sustainable and inclusive environment for Rohingya refugees. The Indonesian government, local government, and communities in Aceh have been commended for their generosity and support to the Rohingya refugees. Guided by Presidential Regulation No. 125 on the Care of Refugees, UNHCR works with authorities, partners, NGOs, and humanitarian actors to ensure refugees' basic needs are fulfilled. However, the number of Rohingya refugees making dangerous sea voyages in the Asia Pacific region has increased, indicating their growing desperation and the ongoing persecution they face in Myanmar. By combining the global protection cluster approach and local wisdom, this article highlights the potential for improving the lives of Rohingya refugees in Aceh. The outcomes of this approach can contribute to the development of more effective and sustainable solutions for the global refugee crisis.

Data driven population health management: first steps to an integrated approach in Leuven Cares (Zorgzaam Leuven)

In 2018 we started the Leuven Cares project in the city of Leuven. The aim of this project is to develop, implement and evaluate the necessary changes to enable integrated care.
 We installed a proactive approach to manage the health and wellbeing of the population of Leuven, to move away from the provision of reactive, demand-led care.
 All inhabitants of Leuven are targeted, 102000 people. All relevant healthcare organizations participate in the project, which is financially supported by the federal government and by 60 local organizations.
 We use a data driven population health management approach based on 4 building blocks:
 1.Know your population health’s needs: obtaining data from the population for constant re-evaluation of the interventions at as many levels as possible. Define clearly for every action the type and subgroup of patients.
 2.Engage with your population: collaboration in integrated neighborhood teams at a local level of 5000 to 10000 inhabitants. Map clearly local level interventions (5000 to 10000 inhabitants) versus meso level (100000 inhabitants) using natural existing networks, functional collaborations and structures.
 3.Manage your population: different interventions or different types of patients starting with the correct stratification. Every intervention and intermediate evaluation is based as much as possible on data, existing or collected data.
 4.Provide support from an integration management team: a so called integrator structure as a backoffice to permanently catalyze the transition towards population based integrated care. 
 Our results (September 2022):
 -50%-60 % of primary caregivers participated in at least one Leuven Cares action.
 -for the various Leuven Cares actions, a total of 6500 patients were included on an individual basis and stratified within the ‘Leuven cares stratification map’.
 -the stakeholder consortium consists of more than 73 partners and is still augmenting. This consortium consists of partners representing health care organizations, social welfare organizations, academic partners, local health insurance partners and other broadly oriented local partners.
 -the “integrator” function was constructed as a complex conceptual entity inside the global governance arrangement. It consists in total of more than 40 individuals and a small coordination team of 3 FTE functions.
 Lessons learned and next steps: At a micro level, a key facilitator for a population health management approach is to install integrated neighborhood teams of primary care professionals, to manage the population. At the meso level, create a strong integrator function with a diversity of liaison arms in the different partner organizations. The integrator needs support of a central backoffice team with visionary leadership and management skills to facilitate a population-oriented approach.
 The effects on the entire population of this project and the various subactions of this project will be studied in the coming years. The ongoing process shows good participation of professional caregivers and their organizations, a need for leadership, a collaborative attitude, a data- and evidence-based approach and a strong local integrator supporting the transition towards integrated care. In a next step, we want to measure the long-term impact of this project on relevant quintuple aim parameters.

How Temporary Employment Relates to Community Health Services Utilization: Evidence from China Migrants Dynamic Survey

Although community health services provide initial health counseling, nursing care, and medical diagnosis as basic social services in many countries, their equitable provision faces challenges. This study examined the relationship and underlying economic and social mechanisms between temporary employment and the utilization of community health services by China’s migrant workers. Data from the 2017 China Migrants Dynamic Survey, which included 69,524 respondents, was used to conduct a mediation analysis based on the inverse odds ratio weighting. Findings included: (a) temporary employment decreases the probability of migrant workers having a community health record and receiving community health education; (b) the notable lack of social capital among temporary migrant workers accounts for their reduced utilization of these services, whereas their economic capability and local integration appear to have little or no influence on deficiency of accessibility. These results suggest that to achieve equitable community health services in China, policymakers should concentrate on reducing social marginalization of temporary migrants, such as fostering engagement in diverse community activities and public affairs. Future research ought to evaluate the effectiveness of current policy interventions and highlight the cumulative disadvantages of temporary employment on social services.

An Enhanced Dual-Stream Network Using Multi-Source Remote Sensing Imagery for Water Body Segmentation

Accurate surface water mapping is crucial for rationalizing water resource utilization and maintaining ecosystem sustainability. However, the diverse shapes and scales of water bodies pose challenges in automatically extracting them from remote sensing images. Existing methods suffer from inaccurate lake boundary extraction, inconsistent results, and failure to detect small rivers. In this study, we propose a dual-stream parallel feature aggregation network to address these limitations. Our network effectively combines global information interaction from the Swin Transformer network with deep local information integration from Convolutional Neural Networks (CNNs). Moreover, we introduce a deformable convolution-based attention mechanism module (D-CBAM) that adaptively adjusts receptive field size and shape, highlights important channels in feature maps automatically, and enhances the expressive ability of our network. Additionally, we incorporate a Feature Pyramid Attention (FPA) module during the advanced coding stage for multi-scale feature learning to improve segmentation accuracy for small water bodies. To verify the effectiveness of our method, we chose the Yellow River Basin in China as the research area and used Sentinel-2 and Sentinel-1 satellite images as well as manually labelling samples to construct a dataset. On this dataset, our method achieves a 93.7% F1 score, which is a significant improvement compared with other methods. Finally, we use the proposed method to map the seasonal and permanent water bodies in the Yellow River Basin in 2021 and compare it with existing water bodies. The results show that our method has certain advantages in mapping large-scale water bodies, which not only ensures the overall integrity but also retains local details.

A Study of Developing Gold Course of English Linguistics in Local Normal Universities and Integration of Moral Education—Taking IPA Teaching as an Example

A Study of Developing Gold Course of English Linguistics in Local Normal Universities and Integration of Moral Education—Taking IPA Teaching as an Example

Refugee and Migrant Integration in Urban Spatial Structures and City Development: Case Study of Busan, South Korea

With the increasing protracted displacements and overall worldwide migration in recent decades, local integration has been considered a durable solution. Accordingly, global agendas have recommended the inclusion of migrant populations, especially within urban frameworks, as cities have always been deemed as migrant hubs. This study examines the influence of migrant spatial integration in city development and municipal policy against the historic backdrop of Busan. From liberation (1945) to post-war industrialization (1960s–1980s), Busan experienced population surges with the inflow of refugees and migrants that historically changed government policies and urban development plans. Based on archival research, secondary data, and GIS mapping, this study explores the influence of migrant populations on the city demographics, physical development, and housing initiatives during different periods. The findings of this study highlight the “local turn” in migrant spatial integration and the production of new urban geographies that portray “humanitarian” and “migrant” urbanism, thereby offering insights into sustainable urban futures for migrant and displaced populations.

Local integrability of $$G(\cdot )$$-superharmonic functions in Lebesgue and Musielak–Orlicz spaces

Local integrability of $$G(\cdot )$$-superharmonic functions in Lebesgue and Musielak–Orlicz spaces

Commercial land use change and growth processes – An assessment of retail location in Lisbon, Portugal, 1995–2020

Land use modelling is essential to understanding future land use and change dynamics. Analyses of land use and change using Cellular Automata (CA) have been frequent in the literature since the latter were introduced to geography in the 1970s. In this paper, the statistical subsections – city blocks – of a previous analysis of Lisbon's commercial structure are used as the cells of a CA. A multi-layer perceptron (MLP) models the transition potential of those cells between 1995 and 2020, considering the impact of street centrality, subway development and other proxies of urban growth. The results confirm that commercial growth and change can be simulated as a function of street centrality and that using Local integration and Choice as drivers of a CA may help improve predictions of commercial growth and change. Moreover, the CA results reinforce that street centrality positively affects street commerce, especially when combined with access to transit and amenities. While these results can already inform planning practice and policymaking, the framework presented in this paper may be replicated to simulate ​future commercial land use, thus helping planners and policymakers prepare for change.

Application of SLAM technology combined with AR in minimally invasive surgery

Minimally invasive surgery (MIS) is revolutionizing the medical field, offering patients faster recovery times and reduced risk of complications. However, MIS demands precise navigation and visualization of the surgical site, which can be challenging due to the limited field of view and constrained working space. In this study, we investigate the integration of simultaneous localization and mapping (SLAM) technology with augmented reality (AR) to enhance the capabilities of MIS and improve surgical outcomes. SLAM technology enables real-time 3D mapping and tracking of the surgical environment, while AR overlays crucial information, such as anatomical structures and surgical guidance, onto the surgeon's view. The proposed system combines these technologies to create a comprehensive, interactive representation of the patient's anatomy, providing surgeons with a more intuitive and accurate understanding of the surgical site. We assess the performance of the integrated SLAM-AR system based on a review of relevant literature, focusing on its accuracy, usability, and impact on surgical efficiency. The findings suggest that the SLAM-AR system has the potential to significantly improve spatial awareness and navigation during MIS, potentially reducing procedure times and complication rates. Furthermore, the system shows promise for enhancing surgeon training and promoting the adoption of MIS techniques in various surgical fields.

Personal, peaceful, progressive: Integration workers’ narratives of refugee settlement and the rural

AbstractSettlement of refugees in rural areas in Norway is part of a national strategy to counter depopulation and thus links to ideas of revitalization and more promising futures for these areas. It also links up to an idea of smaller communities as ‘better at integrating’, as smaller communities both enable and necessitate more contact between the original population and newcomers. However, although some municipalities reap advantages of the dispersed settlement policy and succeed in retaining settled refugees, other municipalities ‘fail’. This article explores how the integration of refugees in rural communities is interpreted by public integration workers in two rural–coastal municipalities where the outcomes differ significantly. Drawing on 15 qualitative interviews, we discuss how integration workers make sense of local integration efforts, and how notions of the rural are (re)produced through their integration narratives. The analysis finds that the integration narratives draw on and reproduce both distinct and overlapping imaginaries of rural areas. We identify two main imaginaries: the rural as future‐oriented and dynamic, and the rural as close‐knit and peaceful.

Projective Sampling for Differentiable Rendering of Geometry

Discontinuous visibility changes at object boundaries remain a persistent source of difficulty in the area of differentiable rendering. Left untreated, they bias computed gradients so severely that even basic optimization tasks fail. Prior path-space methods addressed this bias by decoupling boundaries from the interior, allowing each part to be handled using specialized Monte Carlo sampling strategies. While conceptually powerful, the full potential of this idea remains unrealized since existing methods often fail to adequately sample the boundary proportional to its contribution. This paper presents theoretical and algorithmic contributions. On the theoretical side, we transform the boundary derivative into a remarkably simple local integral that invites present and future developments. Building on this result, we propose a new strategy that projects ordinary samples produced during forward rendering onto nearby boundaries. The resulting projections establish a variance-reducing guiding distribution that accelerates convergence of the subsequent differential phase. We demonstrate the superior efficiency and versatility of our method across a variety of shape representations, including triangle meshes, implicitly defined surfaces, and cylindrical fibers based on Bézier curves.

Unified gas-kinetic particle method for frequency-dependent radiation transport

This paper proposes a unified gas-kinetic particle (UGKP) method for the frequency-dependent photon transport process. The photon transport is a typical multiscale process governed by the nonlinear radiative transfer equations (RTE). The flow regime of photon transport varies from the ballistic regime to the diffusive regime with respect to optical depth and photon frequency. The UGKP method is an asymptotic preserving (AP) scheme and a regime adaptive scheme. The teleportation error is significantly reduced, and the computational efficiency is remarkably improved in the diffusive regime. Distinguished from the standard multigroup treatment, the proposed UGKP method solves the frequency space in a non-discretized way. Therefore the Rosseland diffusion system can be precisely preserved in the optically thick regime. Taking advantage of the local integral solution of RTE, the distribution of the emitted photon can be constructed from its macroscopic moments. The Monte Carlo particles in the UGKP method need only be tracked before their first collision events, and a re-sampling process is performed to close the photon distribution for each time step. The high computational cost of calculating excessive scattering events can be saved, especially in the optically thick regime. The proposed UGKP method is implicit and removes the light speed constraint on the time step. The particle tracking approach combining the implicit formulation makes the proposed UGKP method an efficient solution algorithm for frequency-dependent radiative transfer problems. We demonstrate with numerical examples the capability of the proposed multi-frequency UGKP method.