Local Integration Research Articles

Kinship and Group Solidarity in Determining Victory of the 2020 Pacitan Regent Candidate Pair

Objective: The objective of this study is to investigate the role of ethnopolitics and kinship solidarity in determining the victory of candidate pairs in the 2020 Pacitan Regency Election, with the aim of understanding the influence of Susilo Bambang Yudhoyono (SBY) as a political patron on voter preferences and political networks. Theoretical Framework: This research is underpinned by concepts of kinship solidarity, ethnopolitics, and political patronage. These frameworks provide a solid basis for analyzing informal political networks and social ties and their influence on local democracy and voter behavior. Method: The methodology adopted for this research comprises a qualitative approach utilizing a phenomenological lens. Data collection involved in-depth interviews, observations, and document analysis. This multi-method strategy enabled an exploration of the dynamics between kinship solidarity, group solidarity, and political preferences among voters. Result and Discussion: The results revealed that kinship solidarity serves as a social-emotional and informal political network, effectively mobilizing electoral support. SBY's personality strengthens these ties, creating legitimacy beyond traditional program-based campaign strategies. Ideologically driven group solidarity and shared interests also play a crucial role in mobilizing societal elements with collective values. However, risks associated with kinship-dominated politics, such as nepotism and favoritism, were identified as potential threats to meritocracy and local democratic integrity. These findings are contextualized within the theoretical framework, emphasizing the dual impact of such networks on voter behavior and democratic processes. Research Implications: This research highlights practical and theoretical implications, offering insights for designing effective, context-sensitive political campaigns. It also underscores the need for balancing kinship-based networks with merit-based practices to enhance local democratic integrity. These findings are particularly relevant to the fields of political science and public administration. Originality: This study contributes to the literature by providing an in-depth understanding of the integration of social networks and political preferences in Sustainable Cities, particularly in terms of political patronage and access to sustainable resources and voter preferences. This study highlights the strategic role of ethnopolitics in shaping local democracy, offering a new perspective on strengthening democratic practices through community-oriented strategies.

The Influence of Local Government Integrity on Local Government Budget and its Implications for Development

This research aims to analyze the influence of local government integrity on APBD management and its implications for the quality of regional development in Indonesia. Secondary data from BPS, SPI, and APBD records for cities and regencies in Indonesia in 2022 were used. Data were analyzed using the Structural Equation Modeling-Partial Least Squares (SEM-PLS) method. This method integrates measurement models to validate indicators and structural models to assess relationships between latent variables. Key evaluation criteria, including reliability, validity, and hypothesis testing, were employed to ensure robustness. The results indicate that higher local government integrity improves APBD management, albeit with a relatively modest effect. Integrity plays a crucial role in preventing corruption and enhancing the sustainability of regional development, highlighting its importance in public financial management. These findings underscore the necessity of promoting high-integrity practices in local governance to achieve sustainable development goals.

The nuclear localization signal of CPSF6 governs post-nuclear import steps of HIV-1 infection.

The early stages of HIV-1 infection include the trafficking of the viral core into the nucleus of infected cells. However, much remains to be understood about how HIV-1 accomplishes nuclear import and the consequences of the import pathways utilized on nuclear events. The host factor cleavage and polyadenylation specificity factor 6 (CPSF6) assists HIV-1 nuclear localization and post-entry integration targeting. Here, we used a CPSF6 truncation mutant lacking a functional nuclear localization signal (NLS), CPSF6-358, and appended heterologous NLSs to rescue nuclear localization. We show that some, but not all, NLSs drive CPSF6-358 into the nucleus. Interestingly, we found that some nuclear localized CPSF6-NLS chimeras supported inefficient HIV-1 infection. We found that HIV-1 still enters the nucleus in these cell lines but fails to traffic to speckle-associated domains (SPADs). Additionally, we show that HIV-1 fails to efficiently integrate in these cell lines. Collectively, our results demonstrate that the NLS of CPSF6 facilitates steps of HIV-1 infection subsequent to nuclear import and additionally identify the ability of canonical NLS sequences to influence cargo localization in the nucleus following nuclear import.

Optimization of Tourism Management, Promotion of Tourist Attractions, and Creative Economy Based on Android Application in Kulu Village, Wori District, North Minahasa Regency

Kulu Village is one of the villages in North Minahasa Regency with untapped tourism potential. The research object is Kulu Village, North Minahasa Regency, which has the potential for diving spots, fishing spots, mangrove forest, paniki Island, legend of posi-posi kuning, local culture and traditions that have not been optimized, as well as the Kulu village community, which has creative economic businesses. Therefore, this research aims to optimize the tourism management model, promote tourist attractions, and develop creative economies based on Android (Website & All Social Media Platforms) in Kulu village. The research method used is the Qualitative Method with data collection techniques of observation, interviews, and questionnaires. Information is obtained from stakeholders, including the village government, tourism economic actors, and the community related to tourism, the promotion of tourist attractions, and the creative economy in Kulu village. Meanwhile, the data analysis technique uses the Scoring system and FGD (Focus Group Discussion). The research concluded that Kulu Village's tourism potential can be maximized through infrastructure improvements, digital promotion via websites and social media, local product integration, and stakeholder partnerships. Developing an Android-based web application and providing community training is crucial for promoting tourism and enhancing the local creative economy. Kulu Village has rich natural and cultural tourism potential. However, to fully harness this potential, infrastructure improvements, institutional strengthening, and promotion through websites and social media platforms like Instagram, Facebook, TikTok, and YouTube are essential to attract both local and international tourists. Strengthening partnerships with stakeholders, such as travel agents, online booking platforms, and influencers, is also crucial to increase the visibility of Kulu Village's tourism destinations. Additionally, local products such as handicrafts and traditional cuisine can be integrated into the tourism ecosystem through digital platforms, including websites and social media

Enhancing Accessibility in Public Spaces: A Computational Study of Hatirjheel Lakefront Using Space Syntax

Public spaces are vital for urban living, contributing to the environmental, social, and economic aspects of city life. Hatirjheel Lakefront, a newly developed recreational area in Dhaka, offers significant potential for enhancing accessibility and connectivity in a rapidly urbanizing metropolis. This study aims to evaluate global and local integration of access routes and propose strategies to improve pedestrian and vehicular connectivity using Space Syntax methodology and DepthmapX V10 software. The key findings indicate that while Hatirjheel demonstrates strong global integration, regional integration remains moderate, with certain access roads being underutilized due to poor connectivity. Recommendations include enhancing integration through connecting dead-end roads, improving pedestrian pathways, and constructing foot-over bridges to mitigate vehicular traffic barriers. This study contributes to urban planning by providing actionable insights to optimize accessibility in public spaces, supporting recreational and economic activities. The findings are critical for creating a more integrated urban fabric in Dhaka, ensuring sustainable urban growth. This research provides actionable strategies for urban planners to optimize the use of public spaces, reinforcing the role of Hatirjheel as a vital component of Dhaka’s urban network.

SCM-YOLO for Lightweight Small Object Detection in Remote Sensing Images

Currently, small object detection in complex remote sensing environments faces significant challenges. The detectors designed for this scenario have limitations, such as insufficient extraction of spatial local information, inflexible feature fusion, and limited global feature acquisition capability. In addition, there is a need to balance performance and complexity when improving the model. To address these issues, this paper proposes an efficient and lightweight SCM-YOLO detector improved from YOLOv5 with spatial local information enhancement, multi-scale feature adaptive fusion, and global sensing capabilities. The SCM-YOLO detector consists of three innovative and lightweight modules: the Space Interleaving in Depth (SPID) module, the Cross Block and Channel Reweight Concat (CBCC) module, and the Mixed Local Channel Attention Global Integration (MAGI) module. These three modules effectively improve the performance of the detector from three aspects: feature extraction, feature fusion, and feature perception. The ability of SCM-YOLO to detect small objects in complex remote sensing environments has been significantly improved while maintaining its lightweight characteristics. The effectiveness and lightweight characteristics of SCM-YOLO are verified through comparison experiments with AI-TOD and SIMD public remote sensing small object detection datasets. In addition, we validate the effectiveness of the three modules, SPID, CBCC, and MAGI, through ablation experiments. The comparison experiments on the AI-TOD dataset show that the mAP50 and mAP50-95 metrics of SCM-YOLO reach 64.053% and 27.283%, respectively, which are significantly better than other models with the same parameter size.

Efficient and accurate tobacco leaf maturity detection: an improved YOLOv10 model with DCNv3 and efficient local attention integration.

The precise determination of tobacco leaf maturity is pivotal for safeguarding the taste and quality of tobacco products, augmenting the financial gains of tobacco growers, and propelling the industry's sustainable progression. This research addresses the inherent subjectivity and variability in conventional maturity evaluation techniques reliant on human expertise by introducing an innovative YOLOv10-based method for tobacco leaf maturity detection. This technique facilitates a rapid and non-invasive assessment of leaf maturity, significantly elevating the accuracy and efficiency of tobacco leaf quality evaluation. In our study, we have advanced the YOLOv10 framework by integrating DCNv3 with C2f to construct an enhanced neck network, designated as C2f-DCNv3. This integration is designed to augment the model's capability for feature integration, particularly concerning the morphological and edge characteristics of tobacco leaves. Furthermore, the incorporation of the Efficient Local Attention (ELA) mechanism at multiple stages of the model has substantially enhanced the efficiency and fidelity of feature extraction. The empirical results underscore the model's pronounced enhancement in performance across all maturity classifications. Notably, the overall precision (P) has been elevated from 0.939 to 0.973, the recall rate (R) has improved from 0.968 to 0.984, the mean average precision at 50% intersection over union (mAP50) has advanced from 0.984 to 0.994, and the mean average precision across the 50% to 95% intersection over union range (mAP50-95) has risen from 0.962 to 0.973. This research presents the tobacco industry with a novel rapid detection instrument for tobacco leaf maturity, endowed with substantial practical utility and broad prospects for application. Future research endeavors will be directed towards further optimization of the model's architecture to bolster its generalizability and to explore its implementation within the realm of actual tobacco cultivation and processing.

Problems of Refugees in International Law, Causative Factors and Solutions in Some African Countries

The refugee crisis is a pervasive and complex issue that has plagued the international community for decades. Africa, in particular, has been beset by numerous conflicts, natural disasters, and humanitarian crises, resulting in the displacement of millions of people. This article examines the problems faced by refugees in international law, with a focus on the causative factors and solutions in some African countries. The article begins by exploring the concept of refugee protection in international law, highlighting the relevant treaties, conventions, and protocols that govern refugee protection. It then delves into the causative factors of refugee flows in Africa, including conflict, persecution, poverty, and environmental degradation. The article also examines the challenges faced by refugees in Africa, such as inadequate access to healthcare, education, and employment opportunities. The article concludes by proposing solutions to the refugee crisis in Africa, including the strengthening of international cooperation and burden-sharing, the enhancement of refugee protection and assistance, and the promotion of durable solutions such as repatriation, local integration, and resettlement.

Leveraging climate resilience capacities by (un)learning from transdisciplinary research projects

Climate adaptation in Europe faces a significant implementation gap: while high-level policies set ambitious resilience goals, local knowledge integration and policy uptake remain slow due to entrenched institutional routines. Reflecting on lessons from three transdisciplinary European projects, this article aims to provide a fresh perspective on how climate resilience can be effectively enhanced through projects that facilitate institutional (un)learning. We tailor a climate resilience capacities framework to diagnose stewarding, unlocking, transforming and orchestrating capacities that enable coordinated shifts from risk-averse to risk-embracing adaptation. These capacities emerge from, and generate, processes that actively dismantle obsolete learnings while fostering novel, resilience-oriented behaviors and routines. Key examples include climate resilience pathways and the empowerment of champions and institutional entrepreneurs, an integrated approach and neutral facilitation and the formation of networks such as Communities of Practice and Real-World Labs. We propose that, while already successful ex-post, embedding this thinking at the conceptualization phase can further accelerate the transition to adaptive societies capable of embracing uncertainty and enhancing climate resilience.

TransSMPL: Efficient Human Pose Estimation with Pruned and Quantized Transformer Networks

Existing Transformers for 3D human pose and shape estimation models often struggle with computational complexity, particularly when handling high-resolution feature maps. These challenges limit their ability to efficiently utilize fine-grained features, leading to suboptimal performance in accurate body reconstruction. In this work, we propose TransSMPL, a novel Transformer framework built upon the SMPL model, specifically designed to address the challenges of computational complexity and inefficient utilization of high-resolution feature maps in 3D human pose and shape estimation. By replacing HRNet with MobileNetV3 for lightweight feature extraction, applying pruning and quantization techniques, and incorporating an early exit mechanism, TransSMPL significantly reduces both computational cost and memory usage. TransSMPL introduces two key innovations: (1) a multi-scale attention mechanism, reduced from four scales to two, allowing for more efficient global and local feature integration, and (2) a confidence-based early exit strategy, which enables the model to halt further computations when high-confidence predictions are achieved, further enhancing efficiency. Extensive pruning and dynamic quantization are also applied to reduce the model size while maintaining competitive performance. Quantitative and qualitative experiments on the Human3.6M dataset demonstrate the efficacy of TransSMPL. Our model achieves an MPJPE (Mean Per Joint Position Error) of 48.5 mm, reducing the model size by over 16% compared to existing methods while maintaining a similar level of accuracy.

Arabic Learning Strategy in a <i>Pesantren</i>: Local Cultural Integration Perspective

Arabic language learning strategies have become widely discussed in recent decades. However, several existing studies still need to place learning strategies in the perspective of Local Cultural Integration. Departing from this condition, this study will elaborate on Arabic language learning strategies from the perspective of local cultural integration. Using a qualitative approach, with the type of field research. Data collection was carried out using interview techniques and direct observation. Data sources come from primary data such as interview results and secondary data such as several official government document reports. The research was conducted at the Nurul Iman Al-Khairaat Islamic Boarding School, Al-Ittihad DDI Islamic Boarding School, and Hikmatul Husna NW Islamic Boarding School. This article argues that learning strategies with the integration of Kaili local culture, including Mosipeli, Masiamasei, and Mosipopatora, are effective as Arabic language learning strategies in Islamic boarding school environments, as well as media for disseminating and strengthening identity, especially Islamic boarding school culture. The Arabic language learning methods of sorogan, bandongan, and wetonan integrate local culture into teaching strategies. This strategy is a counterweight to cultural hegemony and globalization in the Islamic boarding school environment. The limitation of this study lies in its scope which is limited to several specific Islamic boarding schools, thus, the generalization of the research results to all Islamic boarding schools in Indonesia may not be entirely accurate because each Islamic boarding school has different cultural characteristics and teaching systems. In terms of originality, the findings of this study provide an essential contribution to the world of Arabic language education by linking learning strategies with the integration of local culture, especially Kaili culture. This approach is rarely discussed in previous academic literature, which more often highlights conventional methods of teaching Arabic without connecting them to the local cultural context. This makes this study unique because it proposes a concept that integrates local culture as an essential element in Arabic language learning while countering the dominance of global culture, which often ignores traditional values.

Rethinking village malaria workers in Cambodia: Perspectives from the communities, programme managers, and international stakeholders.

Since the early 2000s, malaria cases in Cambodia have declined steadily. Village malaria workers (VMWs) have played a critical role in reducing malaria transmission and progress towards malaria elimination. To prevent malaria re-establishment, however, implementation strategies need to consider carefully the changing healthcare needs in the communities as well as challenges to, and opportunities for, programme adaptation. We conducted in-depth interviews with a diverse range of stakeholders involved in the planning or implementation of the VMW programme in Cambodia, to elicit their views and experiences about health priorities in the communities, the public health value of VMWs and community-based care, and prospects for future programme development. Respondents included managers and implementers involved in the VMW programme at the central and provincial level (n = 9), technical officers at international agencies in Cambodia (n = 7), international stakeholders in non-governmental and research organisations based in Cambodia or other countries in the region (n = 5), as well as VMWs (n = 10), and community members (n = 16) in six endemic communes of Kravanh District, Pursat Province. In Kravanh, we also conducted four focus group discussions with 19 community members who had previous experience of malaria. The qualitative dataset was analysed using a thematic approach. VMWs, particularly mobile malaria workers tasked with active case detection among forest workers, were deemed necessary to maintain effective malaria control. However, there was a clear demand in the communities for additional services including treatment for common illnesses, monitoring of blood pressure and blood sugar levels, and relief of general symptoms through medication, such as for fever, headache, and stomach pain. Programme managers and international stakeholders agreed that the VMW programme needs a rethinking of the current implementation model to ensure continued uptake, relevance, and motivation of VMWs. Suggestions for add-on activities included adoption of new tests for febrile illnesses such as dengue and chikungunya, and screening for the prevention and monitoring of non-communicable diseases. There was emphasis on the needs for more sustainable financing mechanisms and integration with the existing community health infrastructure. The potential expansion of VMW services will benefit from the continued involvement of external donors and partners for technical and financial support. However, the implementation strategy should consider since the outset opportunities for enhanced local ownership and health system integration. To maintain domestic political momentum and access new potential sources of domestic funding, further programme development should align with national health priorities and the ongoing process of administrative decentralisation, while being responsive to changing public health needs within the communities.

The Influence of Planning and Architectural Styles on the Sustainability of the City of Kumasi, Ghana

The city of Kumasi that was once dubbed the ‘Garden City of West Africa’ was founded in the late 17th century and served as the seat of government for the medieval Greater Asante Union. It later served as a commercial hub for the British Colony after undergoing massive transformation in the first two decades of the 19th century. Post-independence, the city went through various urban planning projects that mostly targeted social development. The architecture of Kumasi has also been changing through different periods of its history. This article examines the relationship between the evolution of the city of Kumasi through urban planning and architecture and the general sustainability in construction. The results show that there is massive depletion of the green belt in Kumasi. Moreover, contemporary architecture uses fewer passive designs for indoor climate control and less local materials for construction. Use of technology for improvement of local materials compressive strength and integration of renewable energy sources in architecture are recommended as course of action.

Local Integrability and Linearizability for Three Dimensional Lotka–Volterra Cubic Systems

Local Integrability and Linearizability for Three Dimensional Lotka–Volterra Cubic Systems

Disaster Mitigation Knowledge Based on Local Wisdom Integration in Elementary Schools

Elementary schools as a basic education environment have limited knowledge and understanding of disaster preparedness, both among students, teachers, and the surrounding community. The lack of effective educational strategies, especially in integrating local knowledge and traditional wisdom, is a major obstacle in preparing elementary schools to face disasters. This study aims to describe and analyze the forms of knowledge obtained from disaster preparedness education based on local wisdom integration for elementary schools. This study uses a qualitative case study method, where participants are selected from various stakeholders involved in elementary education and disaster preparedness. The results of the study indicate that various types of disaster preparedness education knowledge have been identified, including basic knowledge, specific disaster preparedness knowledge, local wisdom knowledge, emergency response and evacuation knowledge, environmental knowledge and prevention, and social knowledge and cooperation. Understanding disaster mitigation can influence students' attitudes and behaviors in facing disasters, so that by providing elementary school students with comprehensive and contextual knowledge about disaster mitigation, equipping them with important and wiser life skills.

Training: Anti-Corruption Educational and Cultural Communication Strategy with a Pragmatic and Approach Communal Challenge

Currently, corruption has permeated various levels of administration, including at the village level such as Selomarto Village, Giriwoyo District, Wonogiri Regency. Both village officials and the general public are involved in daily corrupt practices, posing significant challenges to the integrity of village fund management. To address this issue, Training on Communication Strategies for Anti-Corruption Education and Culture was conducted with a Pragmatic and Communal Challenge Approach as part of Community Engagement in the Village. The results of this engagement indicate that the implemented communication strategy successfully increased awareness, participation, and commitment of Selomarto Village community members in combating corruption. The community effectively implemented strict oversight of village funds and conducted sustained social campaigns, building a strong anti-corruption culture. The commitment of the PKK Empowerment and Family Welfare Community in Selomarto Village as a change agent in corruption prevention serves as an inspiration to other regions, although ongoing challenges such as continuous support from various stakeholders remain a primary focus. Therefore, efforts to sustain local governance integrity and continuity should be continuously promoted to ensure the positive effects of this engagement continue to grow and serve as a positive example for other communities in building a clean and transparent governance system.

Events and climate change adaptation: a policy integration study

ABSTRACT Climate change poses unique challenges for the event industry, yet the industry and its key stakeholders have been slow to acknowledge the need to adapt. In Australia, local governments play an important role in event and climate change policy making. This research assessed local government event and climate policy integration in Queensland, Australia, as the state seeks to grow its visitor economy ahead of the 2032 Olympic and Paralympic Games. Policies from seven local governments were analysed. We found no evidence of policy integration. While local governments envisioned using events for public engagement to increase climate literacy, the event industry appeared overlooked as a necessary site for adaptation. Yet opportunities to create connections between these misaligned policy domains were evident. Findings suggest local governments can support event adaptation through mainstreaming of climate concerns across event-related policy areas, including economic development and community resilience.

Techno-Economic Analysis of Territorial Case Studies for the Integration of Biorefineries and Green Hydrogen

To achieve sustainable development, the transition from a fossil-based economy to a circular economy is essential. The use of renewable energy sources to make the overall carbon foot print more favorable is an important pre-requisite. In this context, it is crucial to valorize all renewable resources through an optimized local integration. One opportunity arises through the synergy between bioresources and green hydrogen. Through techno-economic assessments, this work analyzes four local case studies that integrate bio-based processes with green hydrogen produced via electrolysis using renewable energy sources. An analysis of the use of webGIS tools (i.e., Atlas of Biorefineries of IEA Bioenergy) to identify existing biorefineries that require hydrogen in relation to territories with a potential availability of green hydrogen, has never been conducted before. This paper provides an evaluation of the production costs of the target products as a function of the local green hydrogen supply costs. The results revealed that the impact of green hydrogen costs could vary widely, ranging from 1% to 95% of the total production costs, depending on the bio-based target product evaluated. Additionally, hydrogen demand in the target area could require an installed variable renewable energy capacity of 20 MW and 500 MW. On the whole, the local integration of biorefineries and green hydrogen could represent an optimal opportunity to make hydrogenated bio-based products 100% renewable.

A novel uncertainty quantification method for electricity performance of building photovoltaic systems from multiple weather data sources

Distributed photovoltaic (PV) systems on buildings offer a promising solution for local renewable energy integration. As interest in sustainable energy grows, the demand for building PV systems is increasing. However, a significant challenge lies in accurately quantifying the uncertainty associated with building PV performance, particularly when considering multiple weather data sources. This study proposes a novel uncertainty quantification method to address this challenge. A case study of a building PV system with a PV wall and roof in Tianjin, China, is utilized to demonstrate the proposed method. Three types of weather data from different sources are considered: typical meteorological year data, multi-year historical data, and climate change projections. Uncertainty is quantified using a weighted-mean approach, incorporating weights based on recency, period, and accuracy of the data sources. Results indicate that the proposed method effectively integrates uncertainties from various data sources, providing reliable long-term energy yield estimates for PV systems. The variation coefficient of annual yield for the PV wall and roof system across ten typical meteorological year files is approximately 10 %. This study contributes to a comprehensive understanding of uncertainty in building PV performance, enabling informed decision-making in sustainable building design and energy management.

High-Resolution Remotely Sensed Evidence Shows Solar Thermal Power Plant Increases Grassland Growth on the Tibetan Plateau

Solar energy plays a crucial role in mitigating greenhouse gas emissions in the context of global climate change. However, its deployment for green electricity generation can significantly influence regional climate and vegetation dynamics. While prior studies have examined the impacts of solar power plants on vegetation, the accuracy of these assessments has often been constrained by the availability of publicly accessible multispectral, high-resolution remotely sensed imagery. Given the abundant solar energy resources and the ecological significance of the Tibetan Plateau, a thorough evaluation of the vegetation effects associated with solar power installations is warranted. In this study, we utilize sub-meter resolution imagery from the GF-2 satellite to reconstruct the fractional vegetation cover (FVC) at the Gonghe solar thermal power plant through image classification, in situ sampling, and sliding window techniques. We then quantify the plant’s impact on FVC by comparing data from the pre-installation and post-installation periods. Our findings indicate that the Gonghe solar thermal power plant is associated with a 0.02 increase in FVC compared to a surrounding control region (p < 0.05), representing a 12.5% increase relative to the pre-installation period. Notably, the enhancement in FVC is more pronounced in the outer ring areas than near the central tower. The observed enhancement in vegetation growth at the Gonghe plant suggests potential ecological and carbon storage benefits resulting from solar power plant establishment on the Tibetan Plateau. These findings underscore the necessity of evaluating the climate and ecological impacts of renewable energy facilities during the planning and design phases to ensure a harmonious balance between clean energy development and local ecological integrity.