Comprehensive Viewpoint Research Articles

A Comparative Study on Music Curriculum Design in Universities based on AR technology: A Survey of 10 Undergraduate Colleges in Nanjing

Purpose: During the past few decades, there has been a huge increase in the usage of technological devices like mobile phones, which are now an indispensable part of our everyday lives. AR-based applications for smartphones and tablets have proven to be a game-changer in a number of fields, most notably education. Currently, Nanjing's college music programmes are undergoing a fast development. Universities are currently experiencing innovation and a reform of their teaching methods in the field of music education. Improving music education in higher education institutions has emerged as a crucial concern for the music Students in Nanjing's undergraduate institutions. Method: An analysis of how AR technology has affected the evolution of music curricula in undergraduate institutions in Nanjing through comparisons. Pre- and post-tests were used to evaluate the cultural understanding and motivation for the study of music of both groups. An Overview of Ten Nanjing Bachelor Colleges. Through the use of augmented reality technology, the experimental team introduced undergraduates’ students to a range of cultural contexts, practices, and norms. Results: The results show that as compared to the control group, the experimental group, which received AR-based training, had noticeably greater levels of intercultural competency and motivation for music learning. Conclusion: Quantitative data analysis revealed that AR-based training increased undergrad participants' involvement, motivation, and understanding of culture. This study provides insights into prospective patterns and paths that AR technology could take in learning, giving readers a preview of future advances. This comprehensive viewpoint provides teachers, scholars, and professionals with significant insights into the instructional implications, technological characteristics, and practical issues of AR. Increasing the development of music education in institutions of higher learning can play an obvious role in helping to grow the influence.

Role of Herbal Essential Oil in Cervical Cancer: A Systematic Review

Cancer of the cervix is a disease that is ubiquitous and frequently severe, and it affects women all over the world. Conventional treatment methods, which include surgical procedures, chemotherapy, and radiation therapy, have been shown to dramatically enhance survival rates; nevertheless, these methods are frequently accompanied with adverse effects and difficulties that might have an influence on the quality of life of a patient. In recent years, there has been a growing interest in the utilisation of essential oils in the cancer treatment and management of cervical cancer. This review offers a comprehensive investigation into the function that various essential oils play in the development of cervical cancer. It also includes insights into the possible advantages of these oils as well as the body of research that has been conducted on them. Additionally, the analysis dives into the future directions and issues that will be faced in this developing industry, with a particular focus on advancements in delivery methods and interesting research areas. For the purpose of enhancing the anticancer qualities of essential oils, the encapsulation of essential oils with solid lipid nanoparticles, the nanoemulsification of essential oils, or the combining of essential oils with conventional treatments have all demonstrated promising results. This review attempts to provide a comprehensive viewpoint, balancing the potential of these natural therapies with the obstacles and issues that need to be addressed. As the employment of essential oils in the treatment or management of cervical cancer continues to develop, this study will attempt to provide a comprehensive perspective. The study will attempt to strike a balance between the potential of these natural treatments and the obstacles and issues that need to be addressed.

Global trends and topics in CDK7 inhibitor research: a bibliometric analysis.

CDK7 has been demonstrated to play a crucial role in the initiation and progression of malignancy. Therefore, targeting CDK7, which regulates the transcription process, has emerged as a new promising approach for treating cancer. Research on CDK7 inhibitors has significantly increased over the past 2decades, with almost 600 related papers in the Web of Science Core Collection database. To effectively identify future research hotspots and potential future directions, it is crucial to systematically review and visually present the research on this topic from a comprehensive viewpoint, ensuring scientific reliability. This study performed bibliometric analysis via CiteSpace and VOSviewer scientometrics analysis software to examine data on the publication of articles on CDK7 inhibitors over the past 2decades; the data included country of publication, author names, institution names, scientific categories, cited journals, and keywords related to the field of CDK7 inhibitors. This bibliometric analysis included 426 publications from 41 different nations, referencing a total of 15,892 sources. Research associated with CDK7 inhibitors has rapidly expanded since 2016, and the US and China are the two countries with the highest publication output among the countries and institutes that produce literature on CDK7 inhibitors. Furthermore, the US is the country that most frequently engages in international cooperation. The evolution of keywords identifying antitumor strategies related to CDK7-mediated cellular transcription processes has been the research focus in recent years. In this study, we identified research efforts and their evolving patterns and predicted advances in the CDK7 inhibitor field. The knowledge structure of CDK7 inhibitors encompasses pharmacological mechanisms, therapeutic targets, and cancer treatment strategies. The primary objectives of contemporary research are to discover the processes underlying cancer progression, identify specific signaling pathways, and develop effective clinical medicines.

Delay-compensatory synchronization on uncertain chaotic neural networks via average delayed impulsive gains

This paper mainly studies the exponential synchronization issue of chaotic neural networks with parametric uncertainties and time-varying delays via hybrid impulsive control and delay compensatory strategy. Considering the hybrid impulses and flexible delays in the controller, the idea of average delayed impulsive gain (ADIG) is introduced to quantify the effects of hybrid impulses from a comprehensive viewpoint, i.e., not only the desynchronizing/synchronizing delay-free impulses but also the desynchronizing/synchronizing delayed impulses are discussed. Meanwhile, the impulsive delays are fetched and integrated to compensate the desynchronizing impulses dynamically, which removes certain strict restrictions on the impulsive gains and impulsive delays compared with existed works. Correspondingly, some relaxed sufficient criteria for exponential synchronization are derived by jointly utilizing the concept of average delayed impulsive gain, the delay compensatory scheme and the mathematical induction methodology. Ultimately, two examples with some comparisons are given to verify the applicability and superior performance of the obtained results.

Nanoarchitectonics in Advanced Membranes for Enhanced Osmotic Energy Harvesting.

Osmotic energy, often referred to as "blue energy", is the energy generated from the mixing of solutions with different salt concentrations, offering a vast, renewable, and environmentally friendly energy resource. The efficacy of osmotic power production considerably relies on the performance of the transmembrane process, which depends on ionic conductivity and the capability to differentiate between positive and negative ions. Recent advancements have led to the development of membrane materials featuring precisely tailored ion transport nanochannels, enabling high-efficiency osmotic energy harvesting. In this review, ion diffusion in confined nanochannels and the rational design and optimization of membrane architecture are explored. Furthermore, structural optimization of the membrane to mitigate transport resistance and the concentration polarization effect for enhancing osmotic energy harvesting is highlighted. Finally, an outlook on the challenges that lie ahead is provided, and the potential applications of osmotic energy conversion are outlined. This review offers a comprehensive viewpoint on the evolving prospects of osmotic energy conversion.

The potential for drug incompatibility and its drivers − A hospital wide retrospective descriptive study

ObjectiveDrug incompatibility, a significant subset of medication errors, threaten patient safety during the medication administration phase. Despite the undeniably high prevalence of drug incompatibility, it is currently poorly understood because previous studies are focused predominantly on intensive care unit (ICU) settings. To enhance patient safety, it is crucial to expand our understanding of this issue from a comprehensive viewpoint. This study aims to investigate the prevalence and mechanism of drug incompatibility by analysing hospital-wide prescription and administration data. MethodsThis retrospective cross-sectional study, conducted at a tertiary academic hospital, included data extracted from the clinical data warehouse of the study institution on patients admitted between January 1, 2021, and May 31, 2021. Potential contacts in drug pairs (PCs) were identified using the study site clinical workflow. Drug incompatibility for each PC was determined by using a commercial drug incompatibility database, the Trissel’s™ 2 Clinical Pharmaceutics Database (Trissel’s 2 database). Drivers of drug incompatibility were identified, based on a descriptive analysis, after which, multivariate logistic regression was conducted to assess the risk factors for experiencing one or more drug incompatibilities during admission. ResultsAmong 30,359 patients (representing 40,061 hospitalisations), 24,270 patients (32,912 hospitalisations) with 764,501 drug prescriptions (1,001,685 IV administrations) were analysed, after checking for eligibility. Based on the rule for determining PCs, 5,813,794 cases of PCs were identified. Among these, 25,108 (0.4 %) cases were incompatible PCs: 391 (1.6 %) PCs occurred during the prescription process and 24,717 (98.4 %) PCs during the administration process. By classifying these results, we identified the following drivers contributing to drug incompatibility: incorrect order factor; incorrect administration factor; and lack of related research. In multivariate analysis, the risk of encountering incompatible PCs was higher for patients who were male, older, with longer lengths of stay, with higher comorbidity, and admitted to medical ICUs. ConclusionsWe comprehensively described the current state of drug incompatibility by analysing hospital-wide drug prescription and administration data. The results showed that drug incompatibility frequently occurs in clinical settings.

AI in the Field of Healthcare: A New Paradigm Examining Facilitators and Biases Through SEM-ANN

The present investigation aims to examine the influence of various facilitators and biases on the behavioral intention (BI), which in turn lead to actual implementation of Artificial Intelligence (AI) in healthcare. Further to get a comprehensive viewpoint, the study attempts to observe the impact of actual implementation on perceived sustainable performance. Data for the current study were collected from 600 healthcare practitioners who use AI tools to treat patients. To analyze the linkages between exogenous and endogenous constructs Structural Equation Modeling (through AMOS software) was performed. The results indicated that out of eleven facilitators, eight significantly influenced BI to adopt AI. The findings for biases depicted that out of six biases three (Historical, Evaluation and Algorithmic) were supported. Furthermore, findings suggest that BI has a direct positive influence on actual implementation of AI which in turn positively contributes to perceived sustainable performance. The observations of this study could be helpful for practitioners and academicians. It may be used to determine which AI-supported approaches should be used for certain designs in the healthcare sector. Though this research provides valuable insights for healthcare professionals, yet it has certain limitations which may be used by researchers to build frameworks.

Comparative analysis and prospect of RNN and Transformer

Deep learning techniques have emerged as a key catalyst for innovation in the rapid advancement of artificial intelligence and machine learning. Deep learning has significantly transformed the field of natural language processing (NLP) and voice processing. It has revolutionized the processing and comprehension of linguistic data, leading to advancements in various applications, ranging from simple text categorization to intricate speech recognition. The progress made in this area would not have been feasible without the utilization of two crucial neural network models: the Recurrent Neural Network (RNN) and the Transformer. These models, with their distinctive processing skills, have attained significant accomplishments in the domains of NLP, computer vision, and several other sectors. Nevertheless, although they demonstrate exceptional performance in their specific application scenarios, there are notable distinctions in processing techniques, performance enhancement, and application range. This study aims to thoroughly investigate and compare the efficacy of two models, namely RNN and Transformer, in processing natural language and speech data. This will be achieved using the research methods of literature analysis and literature review. Through the analysis of their structures, strengths, flaws, and performance in practical applications, it offers a more comprehensive viewpoint and benchmark for future study and applications. As technology advances, we anticipate the emergence of more novel models and methodologies in the field of natural language processing and voice processing. This will further facilitate the development of these technologies.

Long-Term Advantages of Adolescent Optimism: Nonlinear Associations With Adult Outcomes and its Protective Role in Buffering Socioeconomic Risk

This study examined whether optimism in early adolescence predicts occupational and psychosocial outcomes in early adulthood and explored the functional form of this relation. We also investigated whether these associations continue to hold after accounting for concomitant factors and whether optimism acts as a protective factor that helps early adolescents deal with socioeconomic adversity. We followed a large sample of German seventh graders ( N = 1596; 63.8% females; baseline M age = 12.9) at two measurement points over a period of 18 years and estimated latent regression models. Optimism in early adolescence predicted several adult outcomes, including occupational prestige, social integration, psychosocial symptoms, and depression. Analyses with social integration, depression, and life satisfaction revealed a nonlinear association: Optimism promoted life outcomes, but this positive association reached a plateau in above-average ranges of optimism and a minimum value in below-average optimism ranges. Moreover, optimism in early adolescence buffered the negative effects of low parental socioeconomic status on occupational prestige, job satisfaction, and psychosomatic symptoms in adulthood. The findings offer increased knowledge about the long-term significance of optimism and underscore the necessity of considering these effects from a more comprehensive and interactional point of view.

Schiff Bases: Versatile Mediators of Medicinal and Multifunctional Advancements

Abstract: This review aims to shed light on the profound implications of Schiff Bases in combating a spectrum of pathogens by delving into their complex classification, synthesis, and reactions. The investigation also covers the varied molecular properties of Schiff bases, highlighting their potential use as chelating agents in coordination chemistry. Moreover, the investigation explores the discerning nature of Schiff Bases about metal ions and their adeptness in establishing intricate associations, highlighting their significance in metal coordination chemistry and specialized pharmaceutical transport mechanisms. Moreover, the review delves into the synthetic capacity of Schiff Bases, highlighting their importance in synthetic methodologies due to their exceptional adaptability, selectivity, and structural similarity to organic compounds. The methodology employs a rigorous systematic literature review to understand Schiff Bases comprehensively. This involves a meticulous analysis of various research articles and publications, allowing for a comprehensive exploration of the topic. The assessment of experimental investigations contributes to comprehending their molecular attributes, specificity for metal ions, and capacity for synthesis. The presented analysis amalgamates a multitude of sources to provide a nuanced and comprehensive viewpoint on the subject matter of Schiff Bases. The findings underscore the multifaceted utility of Schiff Bases in the fight against pathogens, their adaptability as chelating compounds, and their discerning affinity for metal ions. The examination of synthesis highlights their profound importance in synthetic methodologies and their striking resemblance to compounds found in living organisms. In conclusion, this analysis reveals Schiff Bases as highly adaptable compounds with potential in antimicrobial therapy, coordination chemistry, and precision drug delivery. The distinctive molecular attributes of these substances, functioning as chelators, contribute to their notable importance. The ability of Schiff bases to form complexes and their preference for metal ions highlight the wide range of applications for these molecules. Schiff Bases have a transformative effect on chemistry and medicine as we investigate their synthetic potential, driven by their versatility and structural similarity to biological compounds.

Electronic health records with decision support systems for sharper diagnoses: bibliometric analysis

Clinical decision support systems (CDSS) and electronic health records (EHRs) are computer systems designed to assist decision-makers in making optimal and streamlined judgments on disease diagnosis, treatment, patient care, and health institution management. This study conducted descriptive and bibliometric evaluations of CDSS integrated with EHRs studies published in journals included in the Scopus database from 2007 to 2024. During the initial phase, the publications were distributed based on their publication year, nation, institution, journal, and citation numbers, as part of a descriptive analysis. During the second stage, the articles were subjected to bibliometric analysis, which involved doing common keyword analyses. The research yielded 409 papers about CDSS and EHRs. The United States has been identified as the country with the highest number of studies on this issue. The journal with the highest number of citations observed was Studies in Health Technology and Informatics. Furthermore, the text showcases visual representations of co-citations and cooperation between authors from different institutions and countries. This study aims to present a systematic framework for examining CDSS with EHRs to improve diagnosis and offer a comprehensive viewpoint to researchers and specialists in the field.

Efficacy and safety of simple analgesics for acute treatment of episodic tension-type headache in adults: a network meta-analysis

Objective Tension-type headache is the most common type of primary headache and results in a huge socioeconomic burden. This network meta-analysis (NMA) aimed to compare the efficacy and safety of simple analgesics for the treatment of episodic tension-type headache (ETTH) in adults. Methods We searched the Cochrane Library, PubMed, Web of Science, Embase, Chinese BioMedical Literature database and International Clinical Trials Registry Platform databases for eligible randomized clinical trials reporting the efficacy and/or safety of simple analgesics. A Bayesian NMA was performed to compare relative efficacy and safety. The surface under the cumulative ranking curve (SUCRA) was calculated to rank interventions. PROSPERO registration number: CRD42018090554. Results We highlighted six studies including 3507 patients. For the 2 h pain-free rate, the SUCRA ranking was ibuprofen > diclofenac-K > ketoprofen > acetaminophen > naproxen > placebo. All drugs except naproxen reported a higher 2 h pain-free rate than placebo, with a risk ratio (RR) of 2.86 (95% credible interval, CrI: 1.62–5.42) for ibuprofen and 2.61 (1.53–4.88) for diclofenac-K. For adverse events rate, the SUCRA ranking was: metamizol > diclofenac-K > ibuprofen > lumiracoxib > placebo > aspirin > acetaminophen > naproxen > ketoprofen. The adverse event rates of all analgesics were no higher than those of placebo, except for ketoprofen. Moreover, all drugs were superior to placebo in the global assessment of efficacy. In particular, the RR of lumiracoxib was 2.47 (1.57–4.57). Global heterogeneity I 2 between the studies was low. Conclusions Simple analgesics are considered more effective and safe as a placebo for ETTH in adults. Our results suggest that ibuprofen and diclofenac-K may be the two best treatment options for patients with ETTH from a comprehensive point of view (both high-quality evidence).

Comprehensive viewpoint on ionic liquids applications in sustainable pharmaceutical technology (experiments, simulations, and managerial insights)

Ionic liquids (ILs) have many applications, one of which is their use in the pharmaceutical and medical industries. In the pharmaceutical industry, there are many obstacles and challenges to the synthesis of solid crystal active pharmaceutical ingredients (APIs), and ILs can be used to solve these obstacles. Combining APIs with ILs (API-ILs) improves some of their properties, such as solubility, permeability, biological activity, and drug delivery, and how to improve these properties has been examined in this review. Also, ILs are used as catalysts in synthesizing drugs due to their unique properties, which are directly in some reactions and indirectly in others. In the last part, the removal of pharmaceuticals and personal care products (PPCPs) from sewage and underground water, which threatens the health of humans and animals, is investigated. This removal is done using ILs, and it is very important. Molecular Dynamic modeling demonstrated that the behavior of the ILs with different applications can be predicted. Likewise, by applying thermodynamic and Monte Carlo simulations, IL production programming can be done with the highest efficiency. Finally, the development of Monod modeling can be useful due to designing a sustainable system for recycling IL-based pharmaceutical wastewater as a sample of the circular economy.

Geriatric health care in rural India: HR issues and public policy constraints

PurposeThe purpose of this paper is to emphasize the need for holistic geriatric health care in rural India. Many older people in Indian villages suffer from chronic ailments without any relief or intervention because of inaccessible and unaffordable health-care services. This paper explores how holistic health care can be assured for older people in Indian villages.Design/methodology/approachThis paper is based on reflections of the authors who have had experiences as caregivers to older persons within their respective families rooted in the Indian villages. Besides, they interacted with 30 older persons (18 males and 12 females in the age group of 60–80 years) living in the villages in three states of India, namely, Haryana, Rajasthan and Madhya Pradesh to develop a comprehensive viewpoint on the need of geriatric health care in rural India. Relevant reports, newspaper articles and research papers were also reviewed while developing viewpoints on such an important topic.FindingsGeriatric health-care facilities in rural India are abysmal. The older people in the villages cannot leverage health-care facilities that are generally inaccessible, inadequate and unaffordable. Even the government support for medical treatment is minuscule. Furthermore, there is lack of trained health-care professionals at all levels, namely, doctors, nurses and paramedic personnel. Training opportunities in geriatrics are also negligible. The scenario vis-à-vis geriatric health care in rural India can be upturned by increasing public spending on health-care infrastructure, increasing numbers of health-care professionals and expanding training programmes in geriatrics.Originality/valueThis paper is based on the critical reflections of the authors as well as their informal interactions with some of the older people in the Indian villages.

An overview of chatbots in tourism and hospitality using bibliometric and thematic content analysis

PurposeArtificial intelligence is one of the most significant and active fields of study in the last few years. Artificial intelligence-derived robotic technologies known as chatbots are gaining interest from both academic and industry sectors. By analyzing the development and patterns of research on the chatbot phenomena within the tourism field, this study seeks to develop a theoretical framework for the interaction between chatbots and tourism.Design/methodology/approachThe Web of Science (WoS) database’s 33 articles on chatbots related to travel and hospitality were examined between 2019 and 2024 using VOSviewer software for bibliometric and thematic content analysis.FindingsResearch on chatbots for tourism and hospitality appears to be in its early stages. The factors influencing tourists' intentions to use chatbots have been thoroughly researched; the attitudes, perceptions and behavioral intentions of destinations, travel agencies and restaurant patrons regarding chatbots were examined, and it was found that the quantitative research approach was dominant. In addition, the majority of the studies are based on a particular theory or model.Originality/valueThis is one of the first attempts to directly comprehend and depict the interconnected structures of studies on the interaction between chatbots and tourism through the use of network analysis. Furthermore, the study’s findings can offer academics a comprehensive viewpoint and a reference manual for more accurate assessment and oversight of the chatbot-tourism interaction. Regarding the lack of research on the topic and the fragmented structure of the studies that exist, it is imperative to provide both a comprehensive overview and a roadmap for future investigations into the usage of chatbots in the travel and hospitality sector.

Study of Influential Factors on Housing Prices by Using MLR

With the emergence of the 2019 pandemic, the global economy experienced a downturn, but the housing market quickly rebounded post-pandemic, heightening the anxiety surrounding home buying. Previous research predominantly employed regression models to forecast housing prices, but these studies largely focused on specific factors. Hence, this article aims to offer a more comprehensive viewpoint by exploring the impact of multiple independent variables on housing prices, particularly emphasizing the effects of the age of buildings, the surrounding environment, and architectural factors. The methodology used in this study is the Multiple Linear Regression (MLR) model. It analyzes the real estate market data in Taipei, meticulously constructing and validating multiple models. The findings reveal that the age of buildings and the distance to the nearest subway station negatively influence housing prices, whereas the number of convenience stores positively impacts them. Among these factors, the quantity of convenience stores exerts the most significant effect on housing prices. Overall, this article provides a novel perspective and tools for understanding and predicting housing prices, assisting real estate developers and buyers in making more informed decisions in the complex real estate market. This study highlights the multidimensional nature of real estate value and contributes to the sustainable development of the real estate market.

Configurational pathways to innovation capability enhancement in high-tech enterprises: a perspective from technological innovation network

PurposeHigh-tech enterprises, as the national innovation powerhouses, have garnered considerable interest, particularly regarding their technological innovation capabilities. Nevertheless, prevalent research tends to spotlight the impact of individual factors on innovative behavior, with only a fraction adopting a comprehensive viewpoint, scrutinizing the causal amalgamations of precursor conditions influencing the overall innovation proficiency of high-tech enterprises.Design/methodology/approachThis paper employs a hybrid approach integrating necessary condition analysis (NCA) and fuzzy-set qualitative comparative analysis (fsQCA) to examine the combinatorial effects of antecedent factors on high-tech enterprises' innovation output. Our analysis draws upon data from 46 listed Chinese high-tech enterprises. To promote technological innovation within high-tech enterprises, we introduce a novel perspective that emphasizes technological innovation networks, grounded in a network agents-structure-environment framework. These antecedents are government subsidy, tax benefits, customer concentration, purchase concentration rate, market-oriented index and innovation environment.FindingsThe findings delineate four configurational pathways leading to high innovative output and three pathways resulting in low production.Originality/valueThis study thereby enriches the body of knowledge around technological innovation and provides actionable policy recommendations.

Analyzing the drivers of blockchain adoption for supply chain in Pakistan

Purpose In recent years, technological advancement has played a crucial role in the growth of emerging economies. However, as with any novel technological development, there are often concerns and hesitations surrounding its implementation. This study aims to investigate the factors influencing blockchain adoption and usage. Thereby evaluating its impact on supply chain performance. Design/methodology/approach This is a deductive research based on the modified form unified theory of acceptance and use of technology, which is a persuasive model that has been used in numerous studies on the acceptance and usage of information technology systems. For this study, valid data was collected from 129 management-level supply chain professionals and policymakers working in diverse manufacturing industries. The collected data was used for testing hypotheses by deploying the structural equation modeling technique. Findings The findings of this study reveal that facilitating conditions and technology readiness highly are key influencers for organizations to implement this disruptive technology. Moreover, blockchain adoption and usage can significantly enhance supply chain performance. Originality/value Blockchain technology is a novel and promising disruptive technology that industries are looking forward to adopting and using. For the policymakers and supply chain strategists working in a developing country, this study offers a comprehensive viewpoint on the swift acceptance and usage of blockchain technology to facilitate supply chain operations.

Assessing Economic Resilience in NATO Countries: A Comprehensive Defence Perspective

Economic resilience, considered in this paper as the ability to withstand and recover from economic shocks and disruptions, has become a linchpin of ensuring national security and stability. As demonstrated by conflicts such as the one in Ukraine, where economic sanctions were deployed to diminish an adversary’s capacity to sustain its war efforts, it has become evident that military power alone is insufficient in today’s complex security landscape. A comprehensive approach to defence must incorporate economic considerations, as the economic well-being of a nation is intrinsically linked to its overall security. The main research objectives of this paper are to investigate the concept of economic resilience, from the perspective of the concept of comprehensive defence and the ways it is interconnected with other resilience domains, through the development of an economic resilience index outlining the relative economic resilience of the 29 European countries that are NATO members and to propose a methodology for identifying the main factors that influence the economic resilience from a comprehensive defence point of view.

Evaluarea rezilienței economice în țările membre ale NATO din perspectiva conceptului de apărare comprehensivă

Economic resilience, considered in this paper as the ability to withstand and recover from economic shocks and disruptions, has become a linchpin of ensuring national security and stability. As demonstrated by conflicts such as the one in Ukraine, where economic sanctions were deployed to diminish an adversary’s capacity to sustain its war efforts, it has become evident that military power alone is insufficient in today’s complex security landscape. A comprehensive approach to defence must incorporate economic considerations, as the economic well-being of a nation is intrinsically linked to its overall security. The main research objectives of this paper are to investigate the concept of economic resilience, from the perspective of the concept of comprehensive defence and the ways it is interconnected with other resilience domains, through the development of an economic resilience index outlining the relative economic resilience of the 29 European countries that are NATO members and to propose a methodology for identifying the main factors that influence the economic resilience from a comprehensive defence point of view.