Model Of Resilience Research Articles

Integrating natural resource resilience and agroecology: policy on protecting agricultural land from degradation in Magelang District, Central Java Province

Although the Government of Magelang District has local policies for land protection from degradation, landslide disaster has hampered the construction of the Rehabilitation of Farm Road (RJUT) of organic rice of UPLAND program in 2022 in Bandongan Sub-District and caused loss of farmer’s agricultural land in Sawangan. This research aimed to describe the impacts of land degradation, the relevance of local policy substance to the protection of upland farmland from degradation, identify the vulnerability of natural resources and build the integration concept consisting of resilience of natural resources and agroecology. The research was conducted in Grabag, Sawangan, and Bandongan Sub-Districts. The research method was descriptive qualitative by interviewing 18 farmers and 13 key informants by purposeful sampling and field observations. Qualitative data analysis using QDA Miner software. The results showed that local policies in Regional Regulation Number 18 of 2017 concerning the Development of Competitive and Environmentally Sound Agricultural Products and the Decree of the Head of the Agriculture and Food Service Office of Magelang District Number 188.4/694/SK/20/2021 concerning Determination of Prospective Farmers and Prospective Locations (CPCL) of UPLAND Activities in Magelang District are less relevant to protect land from holistic degradation (quality and ecological due to landslides) causing vulnerability to the resilience of natural resources. Therefore, it needs innovations in the form of public policies that are comprehensive, holistic, and integral through the integration model of natural resource resilience and sustainability of irrigation systems in upland agricultural land protection systems complementing each other.

Modeling of Power System Resilience During a Catastrophic Disaster and Application of the Model

Modeling of Power System Resilience During a Catastrophic Disaster and Application of the Model

Assessing Climate Change Adaptation Strategies in Agriculture using Agent-Based Modeling

This project seeks to analyze the complex dynamics of climate change adaptation techniques in agriculture by investigating the synergistic link between diverse agricultural practices and technology intervention s via agent-based modeling. The experimental data, consisting of synthetic datasets, clarifies the iterative adaptation process by illustrating examples such as “Drought Resistant Crop-alpha” and “Water Conservation System-beta,” which demonstrate the effectiveness of swift modifications to evolving climatic circumstances. The revolutionary influence of technology adoption is shown by developments such as “Smart Irrigation-Enhanced,” which underscores its ability to improve resilience and production. The seamless integration of these methods across all agricultural phases, from initial acceptance to extensive application, highlights their interrelated and mutually reinforcing connection. Confronting difficulties, especially those associated with socio-economic dynamics and resource allocation, requires the integration of ethical and policy considerations. This study offers critical insights into the essential comprehension of climate adaptation techniques, which will inform future research and underscore the need for ethical frameworks in enhancing the efficacy of agent-based models for agricultural resilience.

ПІДПРИЄМНИЦЬКІ ЕКОСИСТЕМИ В УМОВАХ ЦИФРОВІЗАЦІЇ

The aim of this study is to identify ways to enhance the efficiency of entrepreneurial ecosystems in the context of digitalization. It has been established that the development of entrepreneurial ecosystems is crucial for ensuring sustainable economic growth and innovation, particularly amidst rapid digitalization and globalization. Key factors influencing the formation and development of entrepreneurial ecosystems in the modern digital age are identified. Entrepreneurial ecosystems are seen as part of a broader system that includes interactions between entrepreneurs, investors, educational institutions, government agencies, and other stakeholders. The ecosystem approach to entrepreneurship, especially in digitalization, is a tool for creating new business opportunities and ensuring sustainable economic development. Digital technologies play a crucial role in modern entrepreneurial ecosystems by promoting the development of new business models, increasing business process efficiency, and creating new opportunities for innovation. These technologies include social networks, crowdsourcing and crowdfunding platforms, big data, and cloud computing. Successful digital entrepreneurial ecosystems are characterized by effective interaction between components and the use of digital technologies. Examples include platforms like Uber, Airbnb, and Google for Startups. Digital technologies significantly enhance entrepreneurial ecosystems by providing quick access to information, reducing transaction costs, improving communication quality, and involving broad masses in innovation and entrepreneurship. The ecosystem approach to entrepreneurship in digitalization is a powerful tool for creating new opportunities and ensuring sustainable development. It allows the creation of more resilient and competitive business models by ensuring effective interaction between ecosystem components and promoting new business opportunities. Digital technologies form the foundation of modern entrepreneurial ecosystems by enhancing process efficiency, expanding innovation opportunities, and involving a wider audience in entrepreneurial activities.

МОДЕЛИРОВАНИЕ РЕЗИЛЬЕНТНОСТИ КАК АЛЬТЕРНАТИВЫ ТРАНСФОРМАЦИИ УПРАВЛЕНИЯ РЕГИОНАЛЬНЫМИ СИСТЕМАМИ В УСЛОВИЯХ ЦИФРОВИЗАЦИИ

Approaches to modeling the management of regional systems are substantiated from the standpoint of including the concept of social solidarity as ensuring viability, the hypothesis of fractality, highlighting the causal signs of hierarchy, coherence, solidarity; changing the vector of strategic guidelines of the Russian border area, the functions of borders and the relevance of the “region-society” model. The contour of an alternative resilient logical model of regional management has been formed, including various aspects of involvement, creating a basis for the use of digital technologies

Resilient Self-Triggered Model Predictive Control of Discrete-Time Nonlinear Cyberphysical Systems Against False Data Injection Attacks

Resilient Self-Triggered Model Predictive Control of Discrete-Time Nonlinear Cyberphysical Systems Against False Data Injection Attacks

Automated simulation modeling: ensuring resilience and flexibility in Industry 4.0 manufacturing systems

Industry 4.0 brings a revolution in the way to create and think of products. Consumer needs change rapidly and production systems must adapt quickly to market changes by changing processes, resources, and configurations. In this context, as real manufacturing systems are subject to constant change, simulations can easily become obsolete. This reduces the lifetime of the simulation model, causes repeated disruption in industrial planning support, and consequently continuous maintenance by experts. Within this framework, the novelty of the following research is the development of a flexible and resilient simulation model able to adapt according to its physical counterpart. Through advanced modeling, based on the object-oriented programming paradigm, an automated simulation model has been developed. This model adapts based on input data, ensuring accuracy and real-time planning support. The research is applied to a real case study of the production system of a world leader in the energy technology sector. The results show that the applied simulation tool can analyze different configurations and enhance production planning.

Resilient coexistence model: Exploring the self-preservation strategy of hessean character goldmund

Resilient coexistence model: Exploring the self-preservation strategy of hessean character goldmund

Translating a value-based framework for resilient e-learning impact in post COVID-19 times: Research-based Evidence from Higher Education in Kuwait

The covid-19 pandemic has changed people's daily lives and behaviors all across the world and has impacted practically every element of human existence. The introduction of remote education systems and the move toward online learning have had some of the most significant effects. The on-site operations of educational institutions, such as schools, colleges, and universities, have had to be suspended in order to stop the virus' spread. In order to effectively disseminate instructional material and guarantee the unbroken progression of students' academic endeavors, educators have been forced to look for novel approaches. The study used the Value-Based Adoption Model (VAM) as a conceptual framework to look into the factors that affected Kuwait's e-learning outcomes in the midst of the covid-19 pandemic. 382 students at Kuwaiti universities and colleges were the source of quantitative data collection. The findings revealed that peer interaction emerged as the most influential factor in shaping outcomes within the educational context of Kuwait, while instructors and course design factors were not significant. Using the VAM, this study investigated the impact of several factors on students' e-learning results during times of crisis. The research expands the existing knowledge base in the field on this subject and suggests developing a well-organized online learning crisis approach. The main contribution of this work is summarized on (i) An integrated framework for the quality of the e-learning experience in universities in post-covid-19 times and (ii) A resilient higher education institutional learning strategy model in post-covid-19 times. The findings of this paper can be generalizable to other Gulf Corporation Council (GCC) countries such as Kingdom of Saudi Arabia, Qatar, United Arab Emirates (UAE), Bahrain and Oman. This is due to the shared cultural traditions and values, along with similar educational systems among these nations.

Presenting a Structural Model of Resilience Based on Psychological Optimism with the Mediating Role of Cognitive Emotion Regulation Strategies in Parents of Children with Cancer

Objective: The present study aimed to present a structural model of resilience based on psychological optimism with the mediating role of cognitive emotion regulation strategies in parents of children with cancer. Methods and Materials: The research method is descriptive and correlational, utilizing structural equation modeling (SEM). The statistical population of this study included all parents of children with cancer under the care of the Mahak Institute in 2022, whose children were undergoing chemotherapy, radiotherapy, hormone therapy, and were in the treatment process. The sample size was considered to be 250 individuals, selected through convenience sampling. In the end, 236 completed and eligible questionnaires were obtained. The primary data for this study were collected using the Resilience Questionnaire (Connor & Davidson, 2003), the Life Orientation Questionnaire (Scheier & Carver, 2015), and the Emotion Regulation Questionnaire (Garnefski et al., 2001). Descriptive statistics (central indices, skewness-kurtosis) and inferential statistics, including structural equation modeling, were used to analyze the data. Findings: The results of the study, through correlation and regression tests, indicated that the structural model of the relationship between resilience and psychological optimism with the mediating role of cognitive emotion regulation strategies in parents of children with cancer fits well. Cognitive emotion regulation strategies do not mediate the relationship between resilience and psychological optimism in parents of children with cancer. Conclusion: Resilience, psychological optimism, and cognitive emotion regulation strategies, as an intertwined set, play a fundamental role in overcoming psychological and emotional disturbances in parents of children with cancer.

Utilizing a multisystemic model of resilience to synthesize research in youth with inflammatory bowel disease: a narrative review.

The study of resilience in youth with inflammatory bowel disease (IBD) is in early stages. The current review aims to illustrate how the use of a multisystemic framework may serve as a developmental and disease-appropriate framework for conceptualizing and designing resilience research for youth with IBD. This is a narrative review; therefore, a comprehensive and systematic literature search was not conducted. Rather, the current paper aims to map selected existing literature to a multisystemic model as exemplars of how the model may be used in youth with IBD. Relevant literature was reviewed, synthesized, and mapped onto the proposed multi-systemic framework. The current review considers existing literature across three proposed dimensions of resilience: contexts of risk exposure, protective and promotive factors/processes, and desired outcomes. Review of each dimension includes consideration of selected existing literature to explain what is known about each dimension currently, as well as to propose additional potential future areas to broaden understanding. Specific key takeaways include: (I) understanding risk exposure in young people with IBD requires consideration of disease-specific, demographic, and sociocultural factors; (II) protective and promotive factors and processes for these young people span individual, familial, peer, school, and community levels; and (III) desired outcomes encompass both the absence of negative and the presence of positive indicators. A multisystemic approach to the study of resilience in young people with IBD may not only clarify current gaps in the field, but also allow for additional future considerations to best understand how and for whom outcomes characterized as resilient may occur in this population.

Multi-Period Resilient Model for VSC-Based AC-DC HDS Considering Public-Safety Power Shutoff to Mitigate Wildfires

Multi-Period Resilient Model for VSC-Based AC-DC HDS Considering Public-Safety Power Shutoff to Mitigate Wildfires

Enhanced Resilient Model Predictive Control Electrolyzers for Frequency Regulations Under Severe Denial-of- Service Attacks

Enhanced Resilient Model Predictive Control Electrolyzers for Frequency Regulations Under Severe Denial-of- Service Attacks

Resilience Of Affected Wetland Rice Farmer Households Flooding: An Integrated Model

Natural disasters can hamper development plans in food commodity development. There are many disaster-prone areas that need efforts to reduce the risks that occur from these disasters. The purpose of this study was to analyze the determinants of resilience of households of wet-rice farmers affected by flooding. This research uses a quantitative analysis approach with survey method. The research data were collected through primary and secondary data. The respondent sampling technique used multi-stage cluster random sampling with a total of 306 respondents. The results showed that mitigation, adaptation, coping mechanisms, and risk levels had a significant influence on the resilience model of households of flood-affected wetland rice farmers. Based on these results, this research can be a reference for practitioners in increasing the intention of resilience actions against natural disasters that occur. Furthermore, the need for policies from the government to respond to natural disasters so that they do not have a long impact on the continuity of farming that is managed.

Analysis of mechanism and optimal value of urban built environment resilience in response to stormwater flooding

The concept of urban resilience focuses on understanding the process and mechanisms of disaster occurrence, providing innovative approaches to address stormwater flooding. However, existing studies primarily concentrate on enhancing overall system resilience, with limited research examining the temporal progression from stormwater disturbance to flood generation. To fill this gap, this study categorizes the development process of stormwater flooding into three periods: disturbance resistance (DR), adjustment and adaptation (AA), and rapid recovery (RR). Using the SWMM (Storm Water Management Model) software, 27 representative parcels in the Beijing-Tianjin-Hebei region of China were simulated. By sequentially considering single-indicator control variables, resilience indicators that significantly impact the three periods were identified through the construction of a stormwater flooding resilience indicator library. Subsequently, resilience models for each disaster phase were constructed using the BP (Back Propagation) neural network, and genetic algorithms were employed to optimize the models and determine the optimal values of resilience indicators for each period. Finally, the research findings were summarized into a resilience design method for the built environment to address stormwater flooding, accompanied by a guide for improving stormwater flooding resilience.The study reveals the following key findings: (1) the influence of physical and spatial elements in the built environment on stormwater flooding formation varies across different stages of the disaster process; (2) distinct resilience indicators operate at different times and in different ways throughout the entire stormwater flooding resilience process; (3) enhancing stormwater flooding resilience in the built environment does not necessarily require setting specific threshold values for each influencing indicator; instead, an optimal single value emerges when multiple indicators interact. Moreover, when multiple indicators interact, an optimal combination module with the best value for a single indicator exists. This study investigates the complete cycle from storm disturbance to flood disaster formation, offering both solutions for cities to mitigate storm flood disasters and advancing theoretical research on urban storm flood resilience while fostering interdisciplinary integration.

Research on the damage resilience model of a new steel-concrete inclined column transfer structure

Research on the damage resilience model of a new steel-concrete inclined column transfer structure

Improved Decarbonization Planning Through Climate Resiliency Modeling

Improved Decarbonization Planning Through Climate Resiliency Modeling

Progressive muscle relaxation in pandemic times: bolstering medical student resilience through IPRMP and Gagne's model.

Medical education, already demanding, has been further strained by the COVID-19 pandemic's challenges and the shift to distance learning. This context underscores the need for effective stress reduction techniques in competency-based medical curricula (CBMC). We assessed the feasibility and benefits of integrating a Progressive Muscle Relaxation (PMR) module-a known effective stress-reducing technique-into a time-restricted CBMC, particularly given such modules often find placement as elective rather than mandatory. Adapting Gagne's nine events of instruction, a 2-h PMR program was designed and implemented during the pandemic. Twenty participants were engaged on a first-come, first-served basis, ensuring adherence to social distancing measures. Feedback was continuously gathered, leading to two post-program focus group sessions. Qualitative data underwent thematic analysis following Braun and Clarke's approach, with study quality maintained by the Standards for Reporting Qualitative Research (SRQR). To gauge adaptability, we aligned the program with various learning outcomes frameworks and explored its fit within CBMC using Bourdieu's Theory of Practice. The pilot PMR program was well-received and effectively incorporated into our CBMC. Our analysis revealed five central themes tied to PMR's impact: Self-control, Self-realization, Liberation, Awareness, and Interpersonal relationships. Feedback indicated the program's capacity to mitigate stress during the pandemic. The SRQR confirmed the study's alignment with qualitative research standards. Further, the PMR program's contents resonated with principal domains of learning outcomes, and its integration into CBMC was supported by Bourdieu's Theory. These observations led us to propose the Integrative Psychological Resilience Model in Medical Practice (IPRMP), a model that captures the intricate interplay between the identified psychological constructs. This research showcases an innovative, theory-guided approach to embed a wellbeing program within CBMC, accentuating PMR's role in fostering resilience among medical students. Our PMR model offers a feasible, cost-effective strategy suitable for global adoption in medical institutions. By instilling resilience and advanced stress-management techniques, PMR ensures that upcoming healthcare professionals are better equipped to manage crises like pandemics efficiently.

Building Fortitude: A Comprehensive Model for Asnaf Entrepreneur Resilience

In the dynamic realm of entrepreneurship, resilience emerges as a cornerstone for success, serving as the anchor upon which individuals navigate complicated challenges. This study examines specifically the scope of Asnaf entrepreneurs, recognizing the unique challenges they face within their socio-economic context. With a focused aim, the research sets out to recognize the fundamental elements of resilience unique to Asnaf entrepreneurs, exploring the dynamic aspects of these elements, and culminating in the development and validation of a tailored resilience model. With qualitative research methods and adopting the grounded-theory approach, this study employs semi-structured interviews to capture the nuanced aspects of resilience. Transcription and subsequent analysis using Atlas. ti software overlays the way for a meticulous exploration of the gathered insights. Anticipated as the conclusion of this endeavor is the unveiling of a robust Asnaf Entrepreneur Resilience Model, composed to contribute not only to conceptual frameworks but also to offer actionable insights for stakeholders, policymakers, and practitioners alike.

Mechanisms of resilience in cities at different development phases: A system dynamics approach

Ecological degradation, environmental pollution, and lack of resources have brought challenges to sustainable urban development, whereas the concept of resilience provides a new normative and analytical tool to investigate urban responses to changes. To explore the mechanisms of resilience in cities at different development phases, this study employs a system dynamics approach to simulate and compare the evolutionary state of different resilient subsystems, including economic, social, ecological and infrastructure modules within cities. Then taking Beijing, Fuzhou, and Urumqi in China, three cities at different development stages as examples, the evolution of urban resilience systems from 2000 to 2035 is simulated under the socio-economic development scenario. The results show urban resilience in the three case study cities evolves in different trajectories with distinctive features showcasing different development phase. This study constructs a resilient city system dynamics model, which provides references for future quantitative resilience simulations and can be adapted and applied to resilience simulations of cities in different contexts. In addition, the case study provides distinct policy recommendations for resilience building in cities at various stages of development and points out key areas for resilience building in different cities.