Resilient Path Research Articles

The Dynamic Driving Path of Organizational Resilience to Digital Transformation—An Empirical Study Based on TJ-QCA

The Dynamic Driving Path of Organizational Resilience to Digital Transformation—An Empirical Study Based on TJ-QCA

Digital sustainability and eco‐environmental sustainability: A review of emerging technologies, resource challenges, and policy implications

AbstractThis review provides a comprehensive analysis of the intersection between digital sustainability (DS) and eco‐environmental sustainability (EES), focusing on the opportunities and challenges presented by emerging technologies, such as artificial intelligence (AI), blockchain, electric vehicles (EVs), and cryptocurrencies. The study critically examines the sustainability concerns arising from the increasing demand for digital infrastructure and the depletion of essential natural resources, including tantalum, indium, cobalt, and lithium. Through an interdisciplinary approach, the review evaluates the ethical, technological, and policy implications of integrating DS within the EES framework. It emphasizes the significance of innovative governance and cross‐sector collaboration to address the environmental trade‐offs and digital rebound effects linked with these technologies. Additionally, the review proposes strategies for mitigating the ecological impacts of digital transformation and identifies crucial research gaps, particularly in resource management and long‐term sustainability. The findings aim to guide the alignment of DS with EES, fostering a more balanced and resilient path towards sustainable development. This study offers actionable insights and policy recommendations for industry practitioners, policymakers, and researchers committed to advancing sustainable digital transformation.

Ashtam Ntotacinan/Come Listen to Us: Theatricalization of Life Stories for the Holistic Wellness of Indigenous Women Students

In Quebec, Indigenous cultural resurgence is expressed through all areas of creation, including theatre, which allows the expression of concerns related to identity reaffirmation and cultural reappropriation. In this movement, Indigenous women are particularly present in public space through art. As a path of resistance and resilience, artistic culture is an important factor of wellness for First Peoples. Anchored in a decolonial epistemology, this theatre-based research involves the implementation of a collective creation approach with Indigenous female college students. It questions the benefits of the theatricalization of life stories on learning related to the dimensions of holistic wellness. Faced with systemic obstacles resulting from colonization, Indigenous students follow atypical schooling trajectories, hence the importance of supporting them with culturally safe approaches based on traditional knowledge. Combining the fields of Indigenous education and theatre education, it is hoped that through this project, the narrative sovereignty of Indigenous women is strengthened and recommendations for the realization of culturally safe artistic educational projects with Indigenous youth and adults are provided.

Does growth mindset benefit negative mental health among middle school students: The role of psychological resilience and gender

AbstractThe mental health problems have been increasingly threatening the development of adolescence in China, it is very necessary to explore the protective factors preventing adolescents' negative mental health. Previous studies suggested that growth mindset benefits mental health. However, the internal psychological mechanism underlying this relationship is still unclear. This study investigated the relation between growth mindset and negative mental health among Chinese adolescence, and simultaneously tested the mediating effect of psychological resilience and the moderating role of gender in the mediation process of this relation. A total of 1204 middle school students (624 male students and 580 female students) in China completed measures on growth mindset, psychological resilience, and negative mental health. The results revealed that growth mindset not only directly predicted negative mental health, but also indirectly predicted negative mental health through the mediating path of psychological resilience. Moreover, the mediating effect of psychological resilience in the relationship between growth mindset and negative mental health was moderated for females and not males. These findings indicated that intervention focus on growth mindset could improve psychological resilience and prevent negative mental health among middle school students.

An Advanced Path Planning and UAV Relay System: Enhancing Connectivity in Rural Environments

The use of unmanned aerial vehicles (UAVs) is increasing in transportation applications due to their high versatility and maneuverability in complex environments. Search and rescue is one of the most challenging applications of UAVs due to the non-homogeneous nature of the environmental and communication landscapes. In particular, mountainous areas pose difficulties due to the loss of connectivity caused by large valleys and the volumes of hazardous weather. In this paper, the connectivity issue in mountainous areas is addressed using a path planning algorithm for UAV relay. The approach is based on two main phases: (1) the detection of areas of interest where the connectivity signal is poor, and (2) an energy-aware and resilient path planning algorithm that maximizes the coverage links. The approach uses a viewshed analysis to identify areas of visibility between the areas of interest and the cell-towers. This allows the construction of a blockage map that prevents the UAV from passing through areas with no coverage, whilst maximizing the coverage area under energy constraints and hazardous weather. The proposed approach is validated under open-access datasets of mountainous zones, and the obtained results confirm the benefits of the proposed approach for communication networks in remote and challenging environments.

A resilient path to prosperity: understanding the impact of entrepreneurial resilience on SMEs

A resilient path to prosperity: understanding the impact of entrepreneurial resilience on SMEs

Preface

The 2nd International Conference on Biodiversity and Sustainable Development 2023 - “Forging a collective and resilient path towards sustainable development for all life,” organized by the Institute of Biodiversity and Sustainable Development, was a program based on seminars/ lectures that involved Educational Institutions Public Higher Education from within and outside the country, as well as research and industry agencies that were directly involved in research work based on biodiversity and sustainable development, whether in the field of natural science, architecture, or engineering and technology.This program also aimed to improve collaboration between researchers (staff and students), UiTM with participants from all over the world, as well as with research agencies inside and outside the country. The conference was the first initiative of the newly established institute to fuel the spirit of knowledge sharing among researchers and subsequently produce indexed publications.Through this program, participants were exposed to papers where the presentation of these papers could expand and produce expert energy, especially in the field of sustainable development, who were able to realize something new with more innovation.Lastly, we would like to give a big applause and thanks to all the authors for their presentations and papers. Their contributions have generously contributed to the intellectual exchange of useful information, idea and knowledge that is so vital towards tackling the challenges the world facing now.The Editorial TeamIBIOSDG 2023List of Committee, Conference Information are availabel in this Pdf.

The Gain and Regeneration Path of Enterprise Quality Immune System Resilience from the Perspective of Scientific and Technological Innovation and GVC Embedding

The Gain and Regeneration Path of Enterprise Quality Immune System Resilience from the Perspective of Scientific and Technological Innovation and GVC Embedding

Nuclear resilient and redundant compute and communication integrated network

Future communication networks use computing platforms i.e., data centers for enabling content access. The operation of data centers is evolving to meet new requirements such as reducing the operating cost. The use of data centers is recognized to have significant challenges due to high operating costs. The high operating costs arises due to the necessity of data center cooling. The cooling costs can be reduced by siting data centers in the underwater environment. In the underwater environment, data centers are cooled by freely available cold water. However, siting data centers in the underwater environment exposes them to risk from other underwater applications. The use of underwater data centers is susceptible to service loss due to the launch of missiles from submarines in defense applications. Underwater data centers are susceptible to service loss from the launch of missiles from submarines. Hence, it is necessary to design a network architecture that ensures continued service delivery when nuclear attacks occur. The presented research proposes a novel network architecture enabling service continuity in the underwater data center. The proposed architecture incorporates resiliency and comprises terrestrial and non–terrestrial data centers. The proposed network architecture incorporates redundancy and utilizes terrestrial and non-terrestrial data centers. In addition, the research presents a protocol enabling co-existence between underwater data centers and missile launching submarines used in defence applications. The research formulates and evaluates the operational duration, number of packets forwarding paths, and computing resource utilization as the metrics. Performance evaluation shows that the proposed network architecture improves the operational duration and computing resource utilization by an average of (27.7–71.5)% and (23.5–44.2)%, respectively. Furthermore, the proposed network architecture enables the realization of more resilient paths. The use of more resilient paths enhances packet transmission. Evaluation shows that the proposed network architecture enhances the number of resilient packets forwarding paths by (18.2–57.4)% on average.

ECONOMIC DRIVERS OF POLITICAL CHANGE: ARMENIA BETWEEN THE PAST AND THE FUTURE

Currently the Armenian government is trying to change the foreign policy vision and make a shift from strategic partnership with Russia to a partnership with the European Union and the United States. However, this political move contradicts to economic trends and existing drivers of economic growth in Armenia. The impressive economic growth of last decade clearly indicates the growing dependence of Armenia from economic integration in the Eurasian Economic Union. According to many leaders of today’s political elite in Armenia, there is no alternative to the strategic partnership with Russia to ensure economic security, economic growth and to the improvement of social welfare in Armenia. In addition, no concrete resources are generated to maintain the same path of growth and economic resilience of the nation while making a transition to the partnership with the West. Thus, we may conclude that the national interests of Armenia require gradual diversification of economic and political partners, not an overnight shift from one polar to another. Also, contemporary tools and methods of economic diplomacy might be extremely demanded to coordinate existing human, financial and other resources of the nation to improve the level of competetiveness of the Armenian economy and ensure proper level of economic security.

Creative activities of circuses in the Eastern and Western regions of Ukraine in wartime: based on interviews with circus directors

This article marks the inaugural chapter of a comprehensive research initiative, delving into the experiences of circus directors in Ukraine amidst challenging times. It presents interviews with two distinguished directors hailing from Lviv and Kharkiv. The narratives offered by these circus visionaries illuminate the profound impact of war and adversity on the circus industry in Ukraine. This article is the opening instalment of a larger exploration that seeks to engage with circus directors across the nation, unravelling the unique stories of these cultural bastions and the resilience they embody. Throughout this series, we will explore the multifaceted impacts of the war on Ukraine's circus community. We will delve into the directors' personal experiences, hearing their stories of triumphs and tribulations, and gain insight into the coping mechanisms that have allowed them to continue pursuing their passion for entertaining audiences, even in times of crisis.
 Moreover, we will shed light on the pressing needs of the Ukrainian circus today. Beyond the applause and standing ovations, these institutions are grappling with their own set of challenges. The circus, a timeless form of entertainment, has evolved to adapt to the changing world, but now faces a crisis of a different kind – one that requires support, understanding, and recognition of its cultural significance.
 Join us on this enlightening research through the Ukrainian circus, where the magic under the big top has not dimmed, but rather, has illuminated the path of resilience and hope in the face of adversity. These circus directors' stories are a testament to the power of art, passion, and community in the most trying of times, offering us a glimpse into a world where the show must go on, no matter the circumstances.

Improving social resilience amid the COVID-19 epidemic: A system dynamics model.

Social resilience is a key factor in disaster management, but compared to resilience in other fields, research on social resilience is still limited to assessment or evaluation, and there is still a lack of dynamic and procedural research, which is also a challenge. This article constructs a causal feedback model and a system dynamics model of social resilience during the COVID-19 epidemic, so as to analyze the dynamic characteristics and improvement path of social resilience. After verifying the effectiveness of the model, model simulation is conducted and the following important conclusions are drawn: social resilience dynamically changes during the research cycle and is influenced by social entity behavior and social mechanisms; The sensitivity factors for the two variables that measure social resilience, namely panic degree and damage degree, are the real-time information acquisition of public and the epidemic awareness of local government, respectively. Therefore, the path to enhancing social resilience should be pursued from both the public and government perspectives, including improving the public's ability to access real-time information, increasing the timeline of government information disclosure, and enhancing local governments' understanding and awareness of the epidemic.

Resilient Path Planning of Unmanned Aerial Vehicles Against Covert Attacks on Ultrawideband Sensors

In this paper, a resilient path planning scheme is proposed to navigate an Unmanned Aerial Vehicle (UAV) to its planned (nominal) destination with minimum energy consumption in the presence of a strategic attacker. The UAV is equipped with two sensors, a GPS sensor, which is vulnerable to spoofing attacks, and a well-functioning Ultra-Wideband (UWB) sensor, which is possible to be deceived. It is shown that a covert attacker can significantly deviate the UAV's path without being detected by the UWB sensor by simultaneously corrupting the GPS signals and forging control inputs. The prerequisite for the attack occurrence is first discussed. Based on this prerequisite, an optimal attack scheme is proposed, which maximizes the deviation between the nominal destination and the real one. Correspondingly, an energy-efficient and resilient navigation scheme based on Pontryagin's maximum principle is formulated, which suppresses the above covert attacker effectively. Essentially, this problem can be seen as a Stackelberg game between a resilient path planner (defender) and a covert attacker. The effectiveness of our theoretical results is illustrated via two simulation examples.

Quantifying Microstructural Degradation in GDC-Infiltrated Fuel Electrodes in Reversible Solid Oxide Cells

Reversible solid oxide cells (RSOCs) can convert between hydrogen or other fuels and electricity in both directions, offering a promising application as tools for mitigating gaps between renewable energy supply and demand in the electric grid. Many advanced RSOC electrode materials achieve good performance stability during operation—for example, NNO | NNO-NDC50 | GDC10 | YSZ | Ni-YSZ cells have been shown to exhibit excellent performance stability over 500hr testing periods when operated reversibly. However, infiltration of a nanocatalyst species, such as GDC10, into the fuel electrode may further improve electrode performance and stability by mitigating Ni coarsening and offering more resilient paths to active reaction sites. In this study, the microstructural degradation of baseline and GDC10-infiltrated RSOC fuel electrodes are quantitatively compared in the context of in-depth electrochemical characterizations. Scanning electron microscopy (SEM) analysis of cell cross sections elucidates the role of GDC10 in improving and stabilizing electrode performance over long-term operation.

Measures of trauma exposure and trauma response: A scoping review.

In contrast to the vast clinical, theoretical, and empirical literature on the impact of trauma, relatively few studies have reviewed the trauma measures that researchers and clinicians can choose to use in their work. This scoping review aimed to catalog all trauma measures (trauma exposure and its subjective responses) that have been published in the peer-reviewed literature, developed for use with adult populations. Through a systematic search of the literature and the screening of 19,631 abstracts, a total of 363 unique trauma measures were identified. Most of these measures were developed for assessment purposes rather than for clinical screening or diagnostic purposes. Most of these measures are patient-self-report measures that assess trauma exposure in the patients' lifetime, or subsequent symptoms, particularly cognitive impairments. Complications in the trauma literature are highlighted, including the use of very similar abbreviations of measures, substantial discrepancies regarding the definition of trauma, and the general assumption that a potentially traumatic event inevitably leads to traumatic distress rather than a path of resilience.

A multi-criteria approach to assess interconnections among the environmental, economic, and social dimensions of circular economy

The debate about the negative impacts that production and consumption cause on the environment is in vogue. Strategies that point to a sustainable, healthy, and resilient path are being sought. One of these paths is the Circular Economy, which emerges as an alternative to reduce the socio-environmental impacts caused by the linear model of production-use-disposal, presenting opportunities to generate revenue, income, and wealth with circular processes. However, despite the circular economy being considered an essential strategy to improve overall performance toward sustainability in its three dimensions, recent research has shown that the predominant focus of circular approaches is on the economic and environmental dimensions. At the same time, the social aspects still need to be explored. This article addresses this problem, aiming to explore circular economy environmental, economic, and social elements in three economic blocs from 2000 to 2020 using the Five Sector Sustainability Model, establishing a baseline to co-create an equitable and regenerative future. The results showed that ASEAN in 2000 occupied the first position in the general ranking. The European Union had the best classification in the economic sector, and Mercosur was the best regarding social benefits. In 2020, while the European bloc was better positioned in the general ranking, the South American bloc occupied the last post in almost all sectors. Comparatively, the highest-ranked bloc in 2020 in overall sustainability is more in line with the UN SDG due to circular actions oriented towards the three fundamental pillars of sustainability.

An Enhanced Path Planner for Electric Vehicles Considering User-Defined Time Windows and Preferences

A number of decision support tools facilitating the use of Electric Vehicles (EVs) have been recently developed. Due to the EVs’ limited autonomy, routing and path planning are the main challenges treated in such tools. Specifically, determining at which Charging Stations (CSs) to stop, and how much the EV should charge at them is complex. This complexity is further compounded by the fact that charging times depend on the CS technology, the EV characteristics, and follow a nonlinear function. Considering these factors, we propose a path-planning methodology for EVs with user preferences, where charging is performed at public CSs. To achieve this, we introduce the Electric Vehicle Shortest Path Problem with time windows and user preferences (EVSPPWP) and propose an efficient heuristic algorithm for it. Given an origin and a destination, the algorithm prioritizes CSs close to Points of Interest (POIs) that match user inputted preferences, and user-defined time windows are considered for activities such as lunch and spending the night at hotels. The algorithm produces flexible solutions by considering clusters of charging points (CPs) as separate CSs. Furthermore, the algorithm yields resilient paths by ensuring that recommended paths have a minimum number of CSs in their vicinity. The main contributions of our methodology are the following: modeling user-defined time windows, including user-defined weights for different POI categories, creating CSs based on clusters of CPs with sufficient proximity, using resilient paths, and proposing an efficient algorithm for solving the EVSPPWP. To facilitate the use of our methodology, the algorithm was integrated into a web interface. We demonstrate the use of the web interface, giving usage examples and comparing different settings.

Causal Prediction of Corona Anxiety based on Emotional Resilience with the Mediation of Emotion Regulation in College Students

Aim: Emotional resilience is a multidimensional structure that explains why people who face difficult and stressful situations can act positively. The aim of this study was to predict corona anxiety based on emotional resilience with the mediation of emotion regulation in college students.
 Methods: This was a descriptive study using structural equation modeling method and its statistical population consisted of all students studying at Mohaghegh Ardabili University in the first semester of 1400 Persian calendar. A total of 250 individuals were selected through convenient sampling method who answered the online questionnaires on emotional resilience, emotion regulation and corona anxiety. Data were analyzed using Pearson correlation coefficient and structural equation modeling.
 Findings: The results of the correlation coefficients showed that the anxiety of Corona has a negative and significant relationship with the total score of emotional resilience and emotion regulation, and also the emotion regulation has a positive and significant relationship with the total score of emotional resilience (p<0.001). The fit indices of the model also confirmed the path of emotional resilience on Corona anxiety with the mediation of emotion regulation.
 Conclusion: From a practical point of view, based on the results, it can be said that the adaptation strategies training program is a suitable solution for improving emotion regulation, increasing resilience and reducing students' anxiety.

Resilient Path Planning of UAV Formation Flight Against Covert Attacks on Ultra-Wideband Sensors

Resilient Path Planning of UAV Formation Flight Against Covert Attacks on Ultra-Wideband Sensors

Resilient Path Planning for UAVs in Data Collection Under Adversarial Attacks

In this paper, we investigate jamming-resilient UAV path planning strategies for data collection in Internet of Things (IoT) networks, in which the typical UAV can learn the optimal trajectory to elude such jamming attacks. Specifically, the typical UAV is required to collect data from multiple distributed IoT nodes under collision avoidance, mission completion deadline, and kinematic constraints in the presence of jamming attacks. We first design a fixed ground jammer with continuous jamming attack and periodical jamming attack strategies to jam the link between the typical UAV and IoT nodes. Defensive strategies involving a reinforcement learning (RL) based virtual jammer and the adoption of higher SINR thresholds are proposed to counteract against such attacks. Secondly, we design an intelligent UAV jammer, which utilizes the RL algorithm to choose actions based on its observation. Then, an intelligent UAV anti-jamming strategy is constructed to deal with such attacks, and the optimal trajectory of the typical UAV is obtained via dueling double deep Q-network (D3QN). Simulation results show that both non-intelligent and intelligent jamming attacks have significant influence on the UAV’s performance, and the proposed defense strategies can recover the performance close to that in no-jammer scenarios.