Local Integration Research Articles

Parsing heterogeneity in global and local white matter integrity at different stages across the psychosis continuum

AbstractPsychosis progresses along a continuum. While heterogeneity is evident across the continuum, it remains unknown whether this is also reflected in white matter (WM) heterogeneity and whether parsing WM heterogeneity may reveal subgroups with more pronounced clinical features. This analysis included 212 participants consisting of healthy controls (HC, n = 59), individuals with high schizotypy (SPT, n = 27), at-risk mental state (ARMS, n = 35), and patients with first episode psychosis (FEP, n = 50) and schizophrenia (SZ, n = 41). Fractional anisotropy (FA) and mean diffusivity (MD) were derived from diffusion tensor imaging (DTI), and fibre density (FD), a non-tensor-derived diffusion marker, was computed. The Person-Based-Similarity Index (PBSI) and Coefficient of Variation Ratio (CVR) were computed to assess global and local heterogeneity. ANOVAs were performed to determine whether people with deviating PBSIs exhibit more pronounced clinical features. Global heterogeneity for all diffusion parameters significantly differed across groups, with greatest difference in heterogeneity between SZ and HC. Results further indicate that FA deviators exhibit lower global functioning and higher negative symptoms. Local FA heterogeneity was greater in FEP relative to ARMS and HC in almost all WM tracts, while SZ patients specifically showed greater heterogeneity in the right thalamic radiation and the left uncinate compared to HCs. Group differences in WM heterogeneity might be indicative of symptom specificity and duration. While these findings offer valuable insights into the neurobiological variability of psychosis, they are primarily hypothesis-generating. Future large-scale studies are warranted to test the robustness of diffusion markers and their clinical relevance.

New Vernacular Architecture: Experimental Construction Site in Bärnau, Bavaria

This experimental construction site in Bärnau, a small town on the border between the Czech Republic and Germany, explores innovative approaches to vernacular architecture through a prism of sustainability, craftsmanship, and regionalism. The project addresses three key questions. First, how can we learn from historical building methods and materials to build more sustainably while maintaining social and regional relevance? Second, how to revitalize traditional craftsmanship, focusing on making local materials and techniques more attractive to ensure the preservation of valuable knowledge? Lastly, what potential is there for creating buildings with minimal environmental impact using only regional materials, thereby supporting local economies and ecological integrity?

Sustainability Study and Management Scenarios of Rammang-Rammang Geopark, Maros Regency, South Sulawesi Province

Rammang-Rammang Geopark has become one of the growing tourist destinations. The need for research aims to understand the sustainability status and implement sustainable tourism management strategies and scenarios in the area. The method used in this research is a descriptive method with a quantitative approach. Rapfish and MICMAC were used as analysis tools. The results of Rapfish analysis show that the environmental sustainability and institutional status are relatively positive and well-maintained, but improvements need to be made in the social and economic dimensions of the community. MICMAC analysis showed that variables such as protection and rehabilitation of local flora, community participation, and integration of management programs significantly influenced the management system. Therefore, the combination of the two analytical tools formulates a management scenario to increase community participation, sustainable tourism education, coordination between management agencies and environmental management, and economic diversification through promotion, marketing, and digital campaigns on environmentally oriented tourism in a more serious geopark area to ensure the sustainability of ecotourism aspects.

‘In a village, everybody knows the stranger’: Constructing local belonging of refugees in rural areas in Germany

AbstractThis article explores the local belonging of refugees in rural areas in Germany from the perspectives of both migrants and local integration actors. It analyses the development of a personal sense of belonging and the construction of the politics of belonging, with the aim of understanding belonging as a socio‐spatial process. The analysis is based on 64 semi‐structured and semi‐narrative qualitative interviews conducted in eight rural communities and small towns in different regions across Germany. The findings indicate that the sense of belonging to rural localities among refugees is influenced not only by personal and biographical experiences but also by overarching policies and administrative practices. They also reflect the expectations of the receiving communities, which imply imaginaries of rural communities. In addition to convivial everyday experiences, the demarcation of boundaries in everyday life appears to be particularly powerful for a sense of belonging.

Thinking alike, acting alike? An assessment of organizational homophily and paradigmatic pragmatism in networks for local integration policies

As migrant integration policies touch upon almost all spheres of citizens’ life, collaboration across policy levels as well as across policy domains is needed. Over time, a series of both policy and analytical paradigms on the integration of migrants emerged, going from the traditional ideas of differentialism and assimilation, over multiculturalism, interculturalism, integrationism, liberal egalitarianism and mainstreaming, up to superdiversity and intersectionality. While networks for integration policies are likely to be at least partly driven by these paradigms, recent studies seem to nuance this assumption based on so called paradigmatic pragmatism, meaning that cities draw on a variety of ideas and pragmatically combine them under the header of diversity policies. The need for multi-level and multi-actor governance on migrant integration, the theoretical knowledge about homophily in organizational networks, and the recent findings on paradigmatic pragmatism, raise the question to what extent collaboration between public and non-profit organizations active around migrant integration is based on a shared policy paradigm on the integration of migrants. This question is answered based on a multiple case study of four central cities in Flanders (Belgium), covering 1.403 organizations. In the quantitative and qualitative (social network) analyses, comparisons along both the axes of cities and policy domains are made. Findings contribute to literature on organizational homophily, showing that clustering of organizations is likely to be at least partly driven by policy paradigm on integration. This is however nuanced by the observation that policy paradigms appear to be ambiguous, which in turn reveals opportunities for more flexible collaborations between actors and for avoiding deadlocks in policy making.

An implicit unified gas-kinetic particle method with large time steps for gray radiation transport

For a long time, efficient algorithms for high-dimensional equations, represented by photon radiation transport, have been one important topic in the development of computational methods for particle transport processes. In this paper, we present an implicit unified gas-kinetic particle (IUGKP) method for multiscale gray radiative transfer. Based on the integral solution of the radiative transfer equation, the photon transport processes are categorized into non-equilibrium transport processes with a large photon free path and equilibrium transport processes with a small photon free path. The long-path processes are solved by an implicit Monte Carlo (IMC) method, and the short-path processes are solved by an implicit diffusion system. The closure formulation of photon distribution is derived from the local integral solution of the radiative transfer equation to couple the IMC and diffusion system. The improvement of the proposed IUGKP method over UGKP method is that particles can be tracked continuously instead of just until the first collision, making simulation with large time steps possible. The IUGKP method has the properties of asymptotic-preserving (AP) and regime-adaptive (RA). The AP property states that the IUGKP method converges to the consistent numerical methods for the asymptotic limiting equations of RTE in the limiting regimes. The RA property states that the computational accuracy of the IUGKP method adapts to the regimes. In this paper, the mathematical proof of the AP and RA properties is presented, and the multiscale numerical tests are performed to demonstrate the accuracy and efficiency of the IUGKP method.

Bridging the Gap Between Policy and Practice: A Critical Discourse Analysis of Local Wisdom Integration in Pasuruan City's Urban Planning Regulations

The Pasuruan City Government, rich in historical and cultural heritage, aims to integrate local wisdom into spatial planning through Regional Regulation Number 4 of 2021 (Rencana Pembangunan Jangka Menengah Daerah or RPJMD 2021-2026) and Regional Regulation Number 1 of 2022 (Rencana Tata Ruang Wilayah or RTRW 2021-2041). However, these policies often prioritize colonial heritage over local traditional culture. This study uses Critical Discourse Analysis (CDA) to examine the formulation, implementation, and community impact of these policies. CDA reveals the power dynamics, ideologies, and specific interests within policy discourse. The research analyzes the government's policy direction and sensitivity towards local wisdom, focusing on the discourse content and structure in the RPJMD and RTRW documents, as well as their intertextuality. Findings indicate a greater emphasis on preserving colonial-era buildings rather than local traditional culture. Recommendations include developing inclusive policies that balance physical infrastructure development with the preservation and promotion of local culture.

Enhanced semantic-positional feature fusion network via diverse pre-trained encoders for remote sensing image water-body segmentation

ABSTRACT In the era of increasingly advanced Earth Observation (EO) technologies, extracting pertinent information (such as water-bodies) from the Earth’s surface has become a crucial task. Deep Learning, especially via pre-trained models, currently offers a highly promising approach for the semantic segmentation of Remote Sensing Imagery (RSI). However, effectively adapting these pre-trained models to RSI tasks remains challenging. Typically, these models undergo fine-tuning for specialized tasks, involving modifications to their parameters or structure of the original architecture, which may impact their inherent generalization capabilities. Furthermore, robust pre-trained models on nature images are not specifically designed for RSI, presenting challenges in their direct application to RSI tasks. To alleviate these problems, our study introduces a light-weight Enhanced Semantic-positional Feature Fusion Network (ESFFNet), leveraging diverse pre-trained image encoders alongside extensive EO data. The proposed method begins by leveraging pre-trained encoders, specifically Vision Transformer (ViT)-based and Convolutional Neural Network (CNN)-based models, to extract deep semantic and precise positional features respectively, without additional training. Following this, we introduce the Enhanced Semantic-positional Feature Fusion Module (ESFFM). This module adeptly merges semantic features derived from the ViT-based encoder with spatial features extracted from the CNN-based encoder. Such integration is realized via multi-scale feature fusion, local and long-distance feature integration, and dense connectivity strategies, leading to a robust feature representation. Finally, the Primary Segmentation-guided Fine Extraction Module (PSFEM) further bolsters the precision of remote sensing image segmentation. Collectively, these two modules constitute our light-weight decoder, with a parameter size of less than 4 M. Our approach is evaluated on two distinct water-body datasets, indicating superiority over other leading segmentation techniques. In addition, our method also demonstrates exemplary efficacy in diverse remote sensing segmentation tasks, such as building extraction and land cover classification. The source codes will be available at https://github.com/zhilyzhang/ESFFNet.

Small localities, large conflicts: radical right parties and the politics of integration policymaking in two European medium-sized towns

ABSTRACT Integration policies emerged as a critical focus of local policymaking in smaller towns, driven not only by migration trends in these areas, but also by the growing political influence of local radical right parties (RRPs). This trend occurred across various European countries, including Belgium and Italy, raising new questions about the impact on policy formation of locally embedded RRPs and the social and political polarisation dynamics which foster their growth. Despite growing scholarly attention to the role of local actors in shaping integration policies, these dynamics have mostly been studied in large cities. Therefore, this article aims to explore the effects of RRPs’ rise on integration policies in Ninove (Belgium) and Fermo (Italy), two diversifying and deindustrialising medium-sized towns governed by liberal coalitions, but with a strong opposition presence of RRPs. Adopting a comparative perspective, it utilises document analysis of national and local integration policymaking, complemented by 34 interviews with local actors. The results show that RRPs shape local agenda setting and local governing parties respond by creating policy ambiguity around policies targeting migrants. Specifically, they invest in policies that aim to support integration, but make sustained attempts to disguise that migrants are the target population for these policies.

Activity-dependent synapse clustering underlies eye-specific competition in the developing retinogeniculate system.

Co-active synaptic connections are often spatially clustered to facilitate local dendritic computations underlying learning, memory, and basic sensory processing. In the mammalian visual system, retinal ganglion cell (RGC) axons converge to form clustered synaptic inputs that enable local signal integration in the dorsal lateral geniculate nucleus (dLGN) of the thalamus. While visual experience promotes retinogeniculate synapse clustering after eye-opening, the earliest events in cluster formation prior to visual experience are unknown. Here, using volumetric super-resolution single-molecule localization microscopy and eye-specific labeling of developing retinogeniculate synapses in mice, we show that synaptic clustering is eye-specific and activity-dependent during retinogeniculate refinement in the first postnatal week. We identified a subset of retinogeniculate synapses with multiple active zones that are surrounded by like-eye synapses and depleted of synapse clustering from the opposite eye. In mutant mice with disrupted spontaneous retinal wave activity, synapses with multiple active zones still form, but do not exhibit the synaptic clustering seen in controls. These results highlight a role for spontaneous retinal activity in regulating eye-specific synaptic clustering in circuits essential for visual perception and behavior.

The SUMO Family: Mechanisms and Implications in Thyroid Cancer Pathogenesis and Therapy.

(1) Background: Small ubiquitin-like modifiers (SUMOs) are pivotal in post-translational modifications, influencing various cellular processes, such as protein localization, stability, and genome integrity. (2) Methods: This review explores the SUMO family, including its isoforms and catalytic cycle, highlighting their significance in regulating key biological functions in thyroid cancer. We discuss the multifaceted roles of SUMOylation in DNA repair mechanisms, protein stability, and the modulation of receptor activities, particularly in the context of thyroid cancer. (3) Results: The aberrant SUMOylation machinery contributes to tumorigenesis through altered gene expression and immune evasion mechanisms. Furthermore, we examine the therapeutic potential of targeting SUMOylation pathways in thyroid cancer treatment, emphasizing the need for further research to develop effective SUMOylation inhibitors. (4) Conclusions: By understanding the intricate roles of SUMOylation in cancer biology, we can pave the way for innovative therapeutic strategies to improve outcomes for patients with advanced tumors.

Many-body-localization protection of eigenstate topological order in two dimensions

Many-body localization (MBL) has been proposed to enable and protect topological order in all eigenstates, vastly expanding the traditional ground-state setting. However, for the most intriguing case of two-dimensional (2D) systems with anyons and topology-dependent degeneracies, the dense many-body spectrum challenges studying this MBL protection numerically. Here we use large-scale full-spectrum variational to demonstrate MBL-protected topological order in the disordered 2D toric code perturbed by magnetic fields. We show that the system has topological local integrals of motion (tLIOMs) for magnetic field strengths below hc≈0.1 times the toric-code coupling scale. Combining tLIOMs with exact diagonalization, we also identify high-energy topological multiplets in the dense many-body spectrum. The phase diagram we find is consistent with toric-code and trivial MBL phases being separated by an intervening thermal phase. Published by the American Physical Society 2024

Workforce Optimization for Quick Commerce Dark Stores: Talent Sourcing and Workforce Modelling Strategies

Quick commerce (Q-commerce) has transformed the retail and e-commerce sectors by enabling ultra-fast delivery of goods through hyper-local logistics and dark stores. The operational success of this model hinges on a structured workforce strategy that supports efficient scaling and agility. This paper explores innovative workforce optimization techniques that focus on organizational design, talent sourcing, and workforce modelling, referencing industry leaders like Flipkart, Zepto, Instamart, and Blinkit. The study identifies the vital roles within dark stores and the approaches to talent acquisition, emphasizing localized recruitment, employee retention, and technology integration. It further presents best practices for scalable workforce modelling to accommodate seasonal demands, high attrition rates, and hyper-growth environments, ensuring sustainable development in the Q-commerce industry. Keywords: Quick Commerce, Workforce Strategy, Talent Sourcing, Dark Stores, Organizational Design, Hyper-Local Delivery, Workforce Modelling

Buddhist participatory communication for rural development: a comparative analysis of case studies in Sri Lanka, Lao PDR, Thailand and lessons learned for Vietnam

ABSTRACT Religion, the foundation of all cultures, can serve as a potential substitute for participatory communication and rural community development. This paper attempts to (1) analyse how the Buddhist approach is integrated into development communication initiatives in three countries, namely Sri Lanka, Lao PDR and Thailand, (2) identify the key principles and values of Buddhist philosophy that inform development communication practices in these countries, (3) examine similarities and differences in the Buddhist-based development initiatives and projects conducted in the three countries and (4) provide insights and recommendations for Vietnam through analysing how Buddhist-inspired approaches to development communication have been conceptualised and implemented in these Asian nations by making use of comparative case studies research method. The study reveals that while these initiatives share a philosophical basis centred on Buddhism and local culture integration where Buddhist monks/nuns play important roles, they vary notably in the methods applied due to differences in cultural context. This comparative analysis aims to inform future endeavours in Vietnam and beyond, advocating for culturally sensitive and spiritually grounded approaches to rural development.

Domain decomposition with local time discretization for the nonlinear Stokes–Biot system

This work presents a domain decomposition method for the fluid-poroelastic structure interaction (FPSI) system, which utilizes local time integration for subproblems. To derive the domain decomposition scheme, we introduce a Lagrange multiplier and define time-dependent Steklov–Poincaré-type operators based on the interface conditions. These operators are employed to transform the coupled system into an evolutionary nonlinear interface problem, which is then solved using an iterative algorithm. This approach provides the flexibility to use different time discretization schemes and step sizes in subdomains, making it an efficient method for simulating multiphysics systems. We present numerical tests for both non-physical and physical problems to demonstrate the accuracy and efficiency of this method.

Full Transformer Framework for Robust Point Cloud Registration With Deep Information Interaction.

Point cloud registration is an essential technology in computer vision and robotics. Recently, transformer-based methods have achieved advanced performance in point cloud registration by utilizing the advantages of the transformer in order-invariance and modeling dependencies to aggregate information. However, they still suffer from indistinct feature extraction, sensitivity to noise, and outliers, owing to three major limitations: 1) the adoption of CNNs fails to model global relations due to their local receptive fields, resulting in extracted features susceptible to noise; 2) the shallow-wide architecture of transformers and the lack of positional information lead to indistinct feature extraction due to inefficient information interaction; and 3) the insufficient consideration of geometrical compatibility leads to the ambiguous identification of incorrect correspondences. To address the above-mentioned limitations, a novel full transformer network for point cloud registration is proposed, named the deep interaction transformer (DIT), which incorporates: 1) a point cloud structure extractor (PSE) to retrieve structural information and model global relations with the local feature integrator (LFI) and transformer encoders; 2) a deep-narrow point feature transformer (PFT) to facilitate deep information interaction across a pair of point clouds with positional information, such that transformers establish comprehensive associations and directly learn the relative position between points; and 3) a geometric matching-based correspondence confidence evaluation (GMCCE) method to measure spatial consistency and estimate correspondence confidence by the designed triangulated descriptor. Extensive experiments on the ModelNet40, ScanObjectNN, and 3DMatch datasets demonstrate that our method is capable of precisely aligning point clouds, consequently, achieving superior performance compared with state-of-the-art methods. The code is publicly available at https://github.com/CGuangyan-BIT/DIT.

Care models for coexisting serious mental health and alcohol/drug conditions: the RECO realist evidence synthesis and case study evaluation.

People with severe mental illness who experience co-occurring substance use experience poor outcome including suicide, violence, relapses and use of crisis services. They struggle to access care and treatment due to a lack of an integrated and co-ordinated approach which means that some people can fall between services. Despite these concerns, there is limited evidence as to what works for this population. To undertake a realist evaluation of service models in order to identify and refine programme theories of what works under what contexts for this population. Realist synthesis and evaluation using published literature and case study data. Mental health, substance use and related services that had some form of service provision in six locations in the United Kingdom (five in England and one in Northern Ireland). People with lived experience of severe mental illness and co-occurring substance use, carers and staff who work in the specialist roles as well as staff in mental health and substance use services. Eleven initial programme theories were generated by the evidence synthesis and in conjunction with stakeholders. These theories were refined through focus groups and interviews with 58 staff, 25 service users and 12 carers across the 6 case study areas. We identified three forms of service provision (network, consultancy and lead and link worker); however, all offered broadly similar interventions. Evidence was identified to support most of the 11 programme theories. Theories clustered around effective leadership, workforce development and collaborative integrated care pathways. Outcomes that are meaningful for service users and staff were identified, including the importance of engagement. The requirement for online data collection (due to the COVID-19 pandemic) worked well for staff data but worked less well for service users and carers. Consequently, this may have reduced the involvement of those without access to information technology equipment. The realist evaluation co-occurring study provides details on how and in what circumstances integrated care can work better for people with co-occurring severe mental health and alcohol/drug conditions. This requires joined-up policy at government level and local integration of services. We have also identified the value of expert clinicians who can support the workforce in sustaining this programme of work. People with co-occurring severe mental health and alcohol/drug conditions have complex and multifaceted needs which require a comprehensive and long-term integrated approach. The shift to integrated health and social care is promising but will require local support (local expert leaders, network opportunities and clarity of roles). Further work should evaluate the effectiveness and cost-effectiveness of service models for this group. This study is registered as PROSPERO CRD42020168667. This award was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme (NIHR award ref: NIHR128128) and is published in full in Health Technology Assessment; Vol. 28, No. 67. See the NIHR Funding and Awards website for further award information.

Incorporating local content stories into innovative e-book development for high school students in Central Kalimantan, Indonesia

Many studies have shown the enhancement of student engagement by integrating local content into digital learning resources. However, little is known about the interactively and culturally relevant materials in incorporating customizable and engaging content for students. The present study aims to develop an e-book focusing on narrative texts that incorporate local content stories for high school students in Central Kalimantan, Indonesia. This research and development study utilized the ADDIE model and TPACK framework. The research involved 35 students in the eleventh grade at the senior high school. It also involved three English teachers and three external validators. Data were garnered through questionnaires, observations and interviews. The quantitative data were analyzed using descriptive statistics analysis, and qualitative data were analyzed using thematic analysis. Results show that expert validation indicated high-quality media presentation and local content integration. In addition, students’ feedback revealed a remarkable attractiveness, suggesting that the e-book significantly enhances educational outcomes. These findings demonstrate the efficacy of the ADDIE model and TPACK framework in creating relevant learning experiences. The study underscores the importance of integrating local content in digital educational tools, offering broad implications for curriculum development and the creation of engaging culturally relevant educational materials.

Mapping the relationship between traffic accidents, road network configuration, and urban land use

Understanding the nature of traffic accidents in relation to urban access networks is crucial for building safer and more resilient cities. This paper examines the issue of traffic accidents through the lenses of urban configurational theory and urban land use. Three data layers were used in the study, including space syntax analysis conducted in Depthmap X, geotagged traffic accidents collected by the police department, and geotagged land-use data. The method involved superimposing these data layers and exploring potential correlations using a geographic information system (GIS). The findings indicate significant correlations between the spatial frequency of traffic accidents and the choice measure (at 2500 m), local integration, and active land use. The findings of this study can help inform planners and policymakers about the best location to implement safety measures to reduce the risk of traffic accidents in urban access networks.

Who is responsible for migrant integration? Contextual political drivers of governance actors’ responsibility frames in small and medium European localities

ABSTRACT This article develops a comparative analysis of ‘responsibility frames’ of migrant integration – i.e. cognitive understandings about who should be responsible for migrant integration – held by actors involved in local integration governance across 36, rigorously selected, European small and medium towns and applies multilevel regression analysis to examine potential contextual and political drivers of the emergence of such frames. Our findings contribute to the existing literature on local integration frames indicating that, first, overall, frames that see integration as a responsibility of ‘migrants only’ prevail over other frames. Second, integration frames are localised, meaning that municipalities provide distinct contexts for the social construction of migrant integration. Third, political factors are crucial at both the individual and contextual level: not only elected local policymakers’ frames depend on their political party affiliation but also frames held by bureaucrats and non-public actors depend on the political affiliation of the local executive of their locality.