Multidimensional Framework Research Articles

Multidimensional Directionality-Enhanced Segmentation via large vision model

Optical Coherence Tomography (OCT) facilitates a comprehensive examination of macular edema and associated lesions. Manual delineation of retinal fluid is labor-intensive and error-prone, necessitating an automated diagnostic and therapeutic planning mechanism. Conventional supervised learning models are hindered by dataset limitations, while Transformer-based large vision models exhibit challenges in medical image segmentation, particularly in detecting small, subtle lesions in OCT images. This paper introduces the Multidimensional Directionality-Enhanced Retinal Fluid Segmentation framework (MD-DERFS), which reduces the limitations inherent in conventional supervised models by adapting a transformer-based large vision model for macular edema segmentation. The proposed MD-DERFS introduces a Multi-Dimensional Feature Re-Encoder Unit (MFU) to augment the model’s proficiency in recognizing specific textures and pathological features through directional prior extraction and an Edema Texture Mapping Unit (ETMU), a Cross-scale Directional Insight Network (CDIN) furnishes a holistic perspective spanning local to global details, mitigating the large vision model’s deficiencies in capturing localized feature information. Additionally, the framework is augmented by a Harmonic Minutiae Segmentation Equilibrium loss (LHMSE) that can address the challenges of data imbalance and annotation scarcity in macular edema datasets. Empirical validation on the MacuScan-8k dataset shows that MD-DERFS surpasses existing segmentation methodologies, demonstrating its efficacy in adapting large vision models for boundary-sensitive medical imaging tasks. The code is publicly available at https://github.com/IMOP-lab/MD-DERFS-Pytorch.git.

RCT testing Sources of Strength impact on suicide attempts and moderation by sexual violence

IntroductionYouth suicide rates have risen steadily in recent decades, with suicide attempts representing a significant risk factor for future mortality. Sexual violence (SV) exposure further elevates this risk. This study investigated the efficacy of Sources of Strength, a school-based peer led program, for reducing suicide attempts school-wide, as well as specifically among youth with recent SV exposure. Study DesignCluster randomized controlled trial (RCT) was conducted 2017-2019, contrasting 22 schools paired and then randomized to either Sources of Strength intervention (n=11) for two school years or wait-listed condition (n=11). Two control schools dropped out prior to completing baseline assessments. Setting/participantsParticipants were 6,539 students in 20 high schools across four assessment waves: baseline prior to random assignment and 6-, 12-, and 18-month follow-ups. InterventionIn schools assigned to immediate Sources of Strength implementation, student peer leaders (n=348) receiving training in the program's multidimensional healthy coping framework in fall of both school years, and peer leaders conducted school-wide campaigns with ongoing mentoring from staff adult advisors (n=122). Main outcome measuresThe primary outcome was any new suicide attempt reported at waves 3 and 4. Recent SV history was also assessed at baseline. Analyses were conducted in 2023. ResultsSources of Strength significantly reduced new suicide attempts by 29%, even after accounting for student characteristics and recent SV history. Moderation analyses showed this overall intervention effect may not have extended to students with more severe SV victim histories. ConclusionsSources of Strength effectively reduced suicide attempts in high school students overall, suggesting its potential for population-level impact. This is especially important in the face of steadily rising suicide attempt and fatality rates among adolescents and young adults. However, a cautious interpretation of the evidence suggests that Sources of Strength may not prevent attempts among students with recent SV contact victimization, highlighting the need for additional intervention work for this high-risk group.

The impact of urbanization in China on influenza incidence across neighboring cities

ObjectivesAlthough the relationship between urbanization and influenza has received increasing attention, previous studies have often examined this relationship based on single indicators, neglecting the multi-dimensions of urban development and their integrated impact on influenza incidence in neighboring cities. MethodsA multidimensional urbanization evaluation framework was developed based on social, economic, and ecological dimensions to comprehensively assess urbanization. Then, we analyzed the impact of urbanization development on influenza incidence within and across cities using Bayesian spatiotemporal models and spatial Durbin models. Regional heterogeneity analysis was performed to investigate the impact of urbanization on influenza incidence within cities. ResultsFrom 2014 to 2019, there were 5,062,254 influenza cases in 283 prefecture-level cities in China. Each standard deviation increment in comprehensive, social, and economic indexes of urbanization was associated with a 14.9% (95% CI: 6.1%, 24.3%), 9.9% (95% CI: 3.5%, 16.3%), and 13.4% (95% CI: 4.5%, 23.7%) increase in influenza incidence, respectively. The effects of urban development on influenza incidence varied significantly across regions, with the greatest impact found in southern China. Additionally, a significant positive spatial spillover effect of urbanization was observed on influenza incidence in surrounding cities. ConclusionsUrbanization and its various dimensions were linked to increased risk of local influenza incidence, which also showed substantial positive spatial spillover effect to surrounding areas. During the rapid urbanization process in China, local governments should prioritize equity and accessibility in healthcare services and strengthen the coordinated prevention and control of influenza epidemics across cities.

Who Should Be Promoted to Management? Developing Promotion Criteria to Ensure Organizational Success

This article explores effective criteria and processes for promoting the right employees into management roles. Through a review of academic literature and insights from professional experience, key competencies for management success are identified, including technical skills, strategic thinking, interpersonal abilities, coaching talent, and change leadership. A multidimensional framework for defining and assessing these competencies is proposed. Best practices for cultivating a pipeline of future leaders through challenging assignments, training, sponsorship and accountability are also discussed. Case studies of Google and GE's systematic talent evaluation methodologies demonstrate research-based concepts in action. The article argues a multifaceted, evidence-driven approach anchored in competency modeling and integrated talent development optimize the alignment of personnel with organizational needs to ensure sustained excellence through strong leadership over time.

The Relationship between Access to Safe Water and Sanitation and Women’s Health in the Self-produced Settlements

Access to safe water and sanitation in self-produced settlements is a significant societal problem. Yet, there is a notable gap in understanding and evaluating the impact on women’s health, and how this intersects with public space. In Sub-Saharan Africa, nearly half of the urban population lives in self-produced settlements. These are complex environments that are continuously growing and are home to almost two-thirds of the population in cities such as Nairobi. Mathare, one of the largest self-produced settlements in Nairobi, exhibits notably poor health outcomes, with women experiencing diarrhoea at twice the average rate of Nairobi. In such a precarious context, the health of its inhabitants requires a specific approach. This paper devises a multidimensional framework for analysing and evaluating the key spatial and socioeconomic factors affecting women’s health in these self-produced settlements. It connects women’s health and well-being to broader structural disadvantages, such as insecure tenure, poor housing conditions, low monthly income and a lack of access to basic services. This case study emphasizes the critical importance of access to safe water and sanitation. Women's daily routines often revolve around water, exposing them to heightened risks of waterborne diseases such as diarrhoea or typhoid fever. Moreover, many women can only access water and sanitation in public spaces in Mathare, where they are particularly vulnerable to violence. This research also concludes how these risks perpetuate a cycle of poverty and vulnerability among women in these communities and emphasises the critical importance of implementing multidisciplinary policies and tailored approaches to enhance the health and well-being of women living in self-produced settlements.

Limitations of the investor information confirmation form in capturing investor risk propensity

The financial consumer protection laws in South Korea emphasize the principle of suitability to ensure the well-being of the financial consumer. To adhere to these regulations, financial institutions utilize the behavioral risk assessment (BRA) form to assess investors’ characteristics. This study evaluates the effectiveness of these forms in capturing investor risk propensities, using Economic Risk Attitude (ERA), Instrumental Risk-Taking (IRT), and Stimulating Risk-Taking (SRT) as comparative benchmarks. Unlike previous research focused mainly on financial risk attitudes, this study introduces a multidimensional approach that includes psychological factors like SRT, offering a more comprehensive understanding of investor behavior. Findings reveal that while BRA assessments correlate with ERA and IRT, they fail to capture the excitement-driven aspects of risk propensity represented by SRT, indicating that BRA forms may inadequately reflect investors' risk profiles. This underscores the need for refining BRA forms by integrating psychological risk factors, advocating for a multidimensional framework that enhances consumer protection and enables more tailored investment strategies. The study contributes actionable insights for financial consumer protection and sets the stage for integrating advanced technologies, such as AI, to further refine risk assessments.

Evaluating Ecosystem Services Incorporation in River Policy: A Multidimensional Framework Applied to China's River Chief System

ABSTRACTThis study develops a comprehensive evaluation framework to assess the incorporation of river ecosystem services (ESs) into policy content, focusing on China's River Chief System (RCS) policy. The framework introduces a quantitative tool that bridges the gap between policy formulation evaluation and policy effect evaluation by integrating a hierarchical indicator system, reference values, and a method for quantifying ES incorporation. Key findings from 32 province‐level RCS policy documents revealed selective incorporation of certain ES indicators, significant mismatches between policy focus and the typical structure of river ESs, and notable regional disparities. Provisioning services (i.e., water supply) and regulating services (i.e., pollution mitigation) are prioritized, while critical regulating services (e.g., flood mitigation and habitat maintenance) and cultural services (e.g., education and science) are underrepresented. Stakeholder and relationship indicators are limited, primarily focusing on managers and spatial relationships, while the value of river ESs is largely ignored. Policy optimization should emphasize expanding the coverage of ESs, incorporating broader stakeholder involvement, and integrating financial incentives. Drawing on international river policies, policymakers could create a more flexible and adaptive river governance structure. While the study offers a quantitative framework for policy evaluation, it acknowledges limitations, including reliance on textual data and potential biases in the reference values. Future research should include stakeholder perspectives and dynamically adjust reference values as new data become available.

A multi-dimensional framework of dynamic capabilities in emerging economies’ multinationals: a systematic review of the literature

PurposeThe growth and significance of emerging economies’ multinationals (EEMs) in the global economy have transformed the business landscape. This study constructs a conceptual framework that displays and links the prerequisites of the formation, composition and development stages of dynamic capabilities (DCs) that lead to competitive advantages in EEMs.Design/methodology/approachThis study follows the preferred reporting items for systematic review and meta-analysis (PRISMA) guidelines (excluding meta-analysis) to present a systematic review of 111 empirical and conceptual academic articles published in the past 24 years in the A+, A and B tier categories in scientific journal indexes.FindingsThe findings illustrate the DCs of EEMs in terms of four components: prerequisites for formation, composition, development process and outcomes. Among these, the compositions of DCs contain four types: management capabilities of available and desired resources, agile organizational capabilities, fast-learning modes and predictive capabilities. The authors also explain the developmental stages of DCs in EEMs, which is seen as a continuous process of anticipating change, consisting of high sensitivity to opportunities, advanced knowledge absorption, resource optimization and adjustment. Additional analysis also reveals the challenges in researching and measuring DCs.Originality/valueThis study provides a highly synthesized multi-dimensional framework of EEMs’ DCs, which fills the research gap and contributes to the enrichment of extant theories. The results can guide most EEMs, particularly those in the manufacturing, IT and service industries, in cultivating entrepreneurship and creating a more efficient operational team to achieve competitiveness.

Immigrants’ acculturation and luxury brand purchase intentions: a cross-sectional study in the Australian context

PurposeThe purpose of this paper is to examine the influence of acculturation on immigrant consumer behaviours in their host country. Mainly, the role of acculturation and luxury brand purchasing intentions were investigated.Design/methodology/approachThe research conducted an online survey of 400 Indian sub-continent born immigrants in Australia.FindingsThe findings confirm that the behaviour acculturation dimension of immigrants is significantly negatively related to their luxury brand purchase intention. Although immigrants' overall acculturation is significantly related to the luxury brand purchase intention, their language and identity acculturation have no significant effect, supporting the multidimensional framework’s influence on immigrant consumer behaviour. Immigrants with higher family income, younger age and less academic education show more luxury brand purchase intention; however, no moderating demography was found between the relationship of acculturation and purchase intention. In spite of the limitation of sampling, this study demonstrates that immigrants' level of acculturation influences their luxury brand purchase intention in the host country.Originality/valueThis study aims to help marketers formulate a unified segmentation strategy of purchasing luxury brands based on immigrants' acculturation and sociodemographic stance. This paper highlights the specific needs of ethnic consumers. Incorporating immigrant consumers into the marketplace will help create a homogenised society and more integration of immigrants into the larger society in the host country. Findings shed light on the role of culture change as a crucial element that affects immigrants' luxury brand purchase behaviour considering their integration level into the host country.

A multidimensional recommendation framework for identifying biological targets to aid the diagnosis and treatment of liver metastasis in patients with colorectal cancer

The quest to understand the molecular mechanisms of tumour metastasis and identify pivotal biomarkers for cancer therapy is increasing in importance. Single-omics analyses, constrained by their focus on a single biological layer, cannot fully elucidate the complexities of tumour molecular profiles and can thus overlook crucial molecular targets. In response to this limitation, we developed a multiobjective recommendation system (RJH-Metastasis 1.0) anchored in a multiomics knowledge graph to integrate genome, transcriptome, and proteome data and corroborative literature evidence and then conducted comprehensive analyses of colorectal cancer with liver metastasis (CRCLM). A total of 25 key genes significantly associated with CRCLM were recommended by our system, and GNB1, GATAD2A, GBP2, MACROD1, and EIF5B were further highlighted. Specifically, GNB1 presented fewer mutations but elevated RNA transcription and protein expression in CRCLM patients. The role of GNB1 in promoting the malignant behaviours of colon cancer cells was demonstrated via in vitro and in vivo studies. Aberrant expression of GNB1 could be regulated by METTL1-driven m7G modification. METTL1 knockdown decreased m7G modification in the 3’ UTR of GNB1, increasing its mRNA transcription and translation during liver metastasis. Furthermore, GNB1 induced the formation of an immunosuppressive microenvironment by promoting the CLEC2C-KLRB1 interaction between memory B cells and KLRB1+PD-1+CD8+ cells. GNB1 expression and the efficacy of PD-1 antibody-based treatment in CRCLM patients were significantly correlated. In summary, our recommendation system can be used for effective exploration of key molecules in colorectal cancer, among which GNB1 was identified as a critical CRCLM promoter and immunotherapy biomarker in colorectal cancer patients.

Analysis of Multi-Dimensional Layers in Historic Districts Based on Theory of the Historic Urban Landscape: Taking Shenyang Fangcheng as an Example

The accelerated process of urbanisation in China is resulting in a decline in and threat to the historic landscape of historic districts. This study is based on the theory of historic urban landscapes and employs a multi-dimensional layers research framework for historic districts. It adopts a single case study and a research method that combines quantitative and qualitative methods. The stratification elements of Fangcheng in Shenyang are identified and summarised, the process of stratification is analysed, and the stratification patterns and laws are summarised through the acquisition and collection of multivariate data. The findings of this study indicate that the stratification elements of the Fangcheng Historic District have undergone five distinct phases of stratification evolution. The resulting stratification pattern can be summarised as follows: newborn, preserve, override, juxtaposition and decession. The spatial elements are layered in the following pattern: The historic landscape can be conceptualised as comprising four layers: (1) the layering of the historic landscape with large public buildings as the anchor point; (2) the layering of the historic landscape with the spatial pattern as the skeleton; (3) the layering of the historic landscape with the iconic buildings as the nodes; and (4) the layering of the historic landscape with the correlative elements as the substrate. The law of value element layering primarily reflects the principles of concentration, diversity and adaptation. In light of the urban historic landscape theory, the reconstruction and restoration strategies, integration of old and new and adaptive conservation of historic landscapes are proposed to offer novel insights and guidance for the conservation of the historic landscape in the Fangcheng Historic District.

Beyond Technical Barriers: A Multidimensional Conceptual Framework for Understanding and Countering Cyber Scam Susceptibility

Cyber-attacks have become a serious global cybersecurity issue, affecting sectors such as petroleum, finance, health, and industry. The financial and banking sectors are particularly vulnerable, experiencing disproportionate harm due to the escalating complexity of digital threats. Recent academic efforts have focused on developing countermeasures, but these have primarily concentrated on technical solutions, which alone are insufficient. The persistent success of cyber-attacks highlights the need for a better understanding of human susceptibility to cyber scams. This research addresses the gap by investigating the psychological and social factors that lead individuals to fall for scam emails and links. It also explores how hackers exploit social engineering tactics to target victims and seeks to reverse these tactics to enhance protection. By understanding why people fall for cyber scams, the research aims to develop more effective cybersecurity measures, contributing significantly to the ongoing battle against cyber-attacks.

Counting the costs: understanding the extra costs of living with disability in Indonesia to advance inclusive policies within the SDG framework.

The Sustainable Development Goals (SDGs) are a multidimensional framework for monitoring progress on disability inclusion over time and among countries where reliable, disability disaggregated data is available. However, the SDGs alone do not provide insights into the causes of the social and economic disparities that people with disabilities face or offer specific policy solutions to alleviate them. This paper highlights the extra costs of living with disability in Indonesia to advance the country's commitment to further the rights of people with disabilities. It utilizes three primary estimation methods, combining an analyses of national survey data with primary data from interviews and focus group discussions. Findings reveal significant and varying costs based on disability type, severity and life cycle stages. It also highlights the unaffordability of these costs for most individuals with disabilities and their families. Leveraging these estimates, the paper proposes 'disability concessions' aligned with Indonesia's legal framework on disability inclusion, aiming to alleviate financial burdens through discounts across health, education, utilities and transportation. By contributing to methodological approaches in understanding extra costs of living with disability inclusion in emerging country context and promoting discussions on leveraging the results for disability inclusive policymaking, this paper supplements the SDG framework to foster disability inclusion.

Assessment of nature-based solutions for water resource management in agricultural environments: a stakeholders' perspective in Southern Italy.

This paper explores the potential implementation of Nature-Based Solutions (NBSs) in agriculture, specifically focusing on soil and water management in Southern Italy, particularly in the Apulia and Basilicata regions. Through a tailored questionnaire, it investigates farmers' perceptions of the utility of NBSs, addressing key issues in the region and evaluating their role in addressing soil and water management challenges. Findings reveal primary challenges such as drought, floods, and water pollution, with soil erosion being a major concern. Several NBSs, including wetlands and bioswales, demonstrate consistent utility and performance, while disparities exist for agroforestry and strip cropping. The study underscores a significant gap in the economic valuation of NBSs, emphasizing the need for comprehensive assessments that incorporate livability improvements, water quality enhancement, and socio-cultural benefits. Additionally, an analysis of NBS implementation across Italian agriculture reveals limited case studies, suggesting the need for strategic expansions to meet Sustainable Development Goals. This research offers critical insights into the effectiveness and challenges of NBSs in agricultural soil and water management, advocating for enhanced stakeholder engagement and the development of multidimensional evaluation frameworks to support sustainable practices.

Exploration of the Mechanism for Systematic Emotional Intelligence (EI) Development in Contemporary College Students

As society increasingly values the overall quality of college students, Emotional Intelligence (EI) education has gained significant attention. EI plays a crucial role in individual mental health, social adaptation, and workplace competitiveness. Particularly in the developmental process of college students, the cultivation of EI significantly impacts their psychological resilience, interpersonal communication skills, and career development. This paper analyzes the evolution of EI theory and its application in college student education, explores the current state and challenges of EI development in university students, and proposes a systematic mechanism for EI cultivation. The mechanism aims to enhance students' EI levels comprehensively through innovative approaches such as curriculum integration, situational simulations, interdisciplinary collaboration, and personalized development. The research indicates that establishing a multidimensional framework for EI development and a well-rounded practical system will help improve college students' EI abilities, foster their physical and mental growth, and lay a solid foundation for their future careers.

Exploring the Impact of AI Enhancement on the Sports App Community: Analyzing Human-Computer Interaction and Social Factors Using a Hybrid SEM-ANN Approach

The iteration of AI technology has enhanced the industry competitiveness of sports apps and brought a new emotional experience to users. However, the community function of AI-enabled sports apps has not yet received sufficient attention. This study adopts the technology acceptance model framework through the human-computer interaction and social psychology perspectives, incorporating perceived interactivity (human-human interaction, human-information interaction, human-system interaction), user experience (functional experience, content experience, and emotional experience), attachment theory (emotional attachment, emotional loyalty), social identity, social trust, and satisfaction variables to construct a theoretical model. It aims to solve the problem of how AI can enhance users’ emotional interaction, community stickiness, and ultimately social interaction satisfaction in sports apps. Through literature review, theoretical analysis, and case study, the Chinese “KEEP” APP was identified as the research object, and the questionnaire was constructed with an improved test scale. The study used a cross-sectional sampling method to collect data from Chinese online platforms for three months (N = 520) and tested the hypotheses in the theoretical model through structural equation modeling and artificial neural networks. The results of the study show that (1) emotional attachment, emotional loyalty, social identity, and social trust positively and significantly affect user satisfaction; (2) emotional attachment and social identity positively and significantly affect human-human interaction; (3) perceived usefulness, social identity, and social trust significantly construct an influence loop on the internal path. Compared with existing studies, this study proposes a multidimensional innovative framework that reveals the deeper influence mechanism of AI technology in sports APP communities and makes up for the shortcomings of existing studies in terms of users’ emotional interactions and community stickiness. Through this study, sports APP developers and operators, marketers, AI technology developers, as well as sports enthusiasts, and general users can obtain specific practical suggestions to further optimize the design and functionality of sports apps, and enhance the overall user experience and satisfaction.

Analysis and study of digital economy level measurement index

PurposeThis study aims to assess the level of development of the digital economy by constructing a comprehensive measurement system. It explores regional differences within China’s digital economy, highlighting the varying degrees of digital infrastructure, industrialization, governance and innovation capabilities across provinces.Design/methodology/approachA multidimensional analytical framework including digital infrastructure, industrialization, digitization, governance and innovation was developed. Entropy methods were used to calculate the weights of each dimension. The coupled coordination degree model and the Tobit model with random effects panel are applied to analyze the current situation, discrepancies and influencing factors.FindingsThis study reveals significant regional differences in the development of China’s digital economy, characterized by a pattern of “strong in the east, weak in the west; high in the south, low in the north.” This geographical imbalance exacerbates the “polarization effect” and the “siphon effect,” where resources and growth tend to concentrate in already developed areas, further intensifying regional inequalities. The development of the digital economy is driven by principles of innovation, coordination and sharing, which facilitate the creation and dissemination of new technologies and collaboration across different sectors. However, this progress is also constrained by considerations of environmental sustainability (green) and economic openness.Originality/valueThis paper contributes to the body of knowledge by providing a novel multidimensional measurement system for the level of digital economy development. The unique application of the coupled coordination degree model and Tobit model to analyze regional differences and influencing factors provides insights into the dynamics of China’s digital economy.

<span><strong>Investigating</strong><strong> Vietnamese EFL high school teachers’ attitudes toward teaching moral values </strong></span>

Families, schools, and society in Vietnam are paying more attention to moral education. The current national general education program, in particular, strives to promote students’ knowledge, skills, and moral qualities in order to better prepare them for globalization in the twenty-first century. It also mandates all educators, teachers integrate moral values into the curricula and lessons. This study aims to investigate English as a Foreign Language (EFL) teachers’ attitudes towards teaching moral values in various high schools. Twenty-one Vietnamese EFL high school teachers from a province in the Mekong Delta participated in the study. Data were collected from a Google-Form survey comprising 14 closed and open-ended questions based on van Aalderen-Smeets et al.’s (2012) and Ualesi and Ward’s (2018) multi-dimensional framework. The findings showed the participants’ positive attitudes toward teaching moral values, and there was almost no significant difference in the attitudes of teachers regarding gender, level of education, and teaching contexts. However, the findings revealed that approximately 81 % of the respondents encountered difficulties when infusing moral values into EFL teaching, primarily relating to teachers’ perceptions and contextual factors. Based on the findings, some conclusions and pedagogical recommendations have been made.

A multidimensional machine learning framework for LST reconstruction and climate variable analysis in forest fire occurrence

Land Surface Temperature (LST) datasets play a crucial role in understanding the complex interplay between forest fires, climate variables, and vegetation dynamics. This study is divided into two primary parts: the first part investigates the predictive performance of a machine learning framework based on CatBoost and XGBoost models in estimating LST across different land cover classes in Alberta, Canada. On the test set, for LST-Day data, CatBoost and XGBoost achieved Median Absolute Errors (MedAE) of approximately 1.434 °C and 1.425 °C, respectively. For LST-Night data, also on the test set, the MedAE values were approximately 1.186 °C for CatBoost and 1.176 °C for XGBoost. The second part explores the intricate relationships between climatic variables—LST, precipitation, and relative humidity—forest fire occurrences, and vegetation dynamics in various subregions. The findings revealed complex interactions, with high LST, reduced precipitation, and humidity associated with increased forest fire activity and subsequent changes in vegetation patterns, particularly in the Central Mixedwood, Dry Mixedwood, and Montane subregions. A notable potential association was identified between high LST, reduced precipitation and humidity, and increased forest fire activity in these areas. These climate change impacts and fire events were found to influence ecological processes, altering species composition, reducing biodiversity, and potentially disrupting ecosystem services such as carbon sequestration and nutrient cycling. These insights are crucial for informing adaptive forest management strategies aimed at understanding and mitigating the cascading effects of climate change on fire regimes and vegetation dynamics in Alberta's diverse landscapes.

Digital inclusive finance and the resilience of households involved in financial markets

This paper develops a multidimensional framework composed of resistance ability, recovery ability and transition ability to measure the resilience of households involved in financial markets, and then discusses the impact of digital inclusive finance. Taking Chinese households holding financial assets as the research sample, we unveil that the majority of households display low financial resilience and there are great differences among them. We also discover that the development of digital inclusive finance has positive influence on household financial resilience, and the use of online financial services has a mediating effect.