Collapse Of System Research Articles

Overcurrent system suppression measures for HVDC transmission system

Abstract. LCC-HVDC technology, an essential Commutated Converter based on High Voltage Direct Current, is extensively employed in power system. However, because DC side overcurrent has the potential to seriously affect both system stability and equipment dependability, it has long been the focus of LCC-HVDC systems. This research presents an effective overcurrent suppression technique for the LCC-HVDC side overcurrent. This work first explains the damage caused by DC side overcurrent. A defect or abnormal situation in an LCC-HVDC system can result in DC side overcurrent, which can have a number of negative effects, including equipment damage, power grid instability, and system collapse. Therefore, it is imperative to address the DC side overcurrent issue in order to ensure the system's reliability and safe functioning. The overcurrent suppression method is then presented in this study. This research then presents an overcurrent suppression technique. This approach is predicated on a thorough examination of the properties of DC side pass current in conjunction with power electronic device regulation. First, the primary cause of the DC side pass current is identified by examining its source. Next, a control algorithm is created that has real-time monitoring and suppression capabilities for the DC side overcurrent. The method is able to precisely detect the overcurrent and promptly implement the necessary control measures.This study contrasts simulated trials carried out in the actual LCC-HVDC system with the conventional overcurrent suppression technique. The results show that the proposed overcurrent suppression strategy improves stability and reaction speed while effectively suppressing the DC side overcurrent. Furthermore, the method exhibits strong resilience and flexibility across a range of malfunction scenarios and operational contexts.

Response to oxalic acid: an important supplement screening against stem rot resistance in groundnut (Arachis hypogaea L.)

BackgroundStem rot, caused by the soil-borne pathogen Sclerotium rolfsii, pose a serious challenge in the groundnut (Arachis hypogaea L) cultivation. Although this disease is widespread globally but had most adverse impact in groundnut growing regions of United States, India, and Australia. The pathogen primarily targets the crown region of the plant, resulting in systemic collapse and potentially leading to yield losses up to 80%. Effective genetic control measures are essential to mitigate the impact of this disease on groundnut production. Realizing the time and resource-consuming complex field-based phenotyping, the availability of easy and repeatable phenotyping methods may fasten the process of donor and gene discovery efforts.ResultsMulti-season phenotyping was performed for stem rot on 184 minicore germplasm accessions, including checks, under two conditions: sick field screening and response to oxalic acid assay. This study demonstrated medium to high heritability (52–63% broad-sense heritability) and significant environmental influence (36%). The response to the oxalic acid assay showed a high proportion of similarity (approximately 80%) with the percent mortality observed in the sick field indicating an easy way of performing precise phenotyping. Notably, seven genotypes—ICG163, ICG721, ICG10479, ICG875, ICG11457, ICG111, and ICG2857—exhibited stable resistance, with less than 30% mortality against stem rot disease. Among these, ICG163, ICG875, and ICG111 displayed low mortality and consistent stability across multiple seasons in both the sick field and controlled conditions of the oxalic acid assay.ConclusionsThe oxalic acid assay developed in this study effectively complements field phenotyping, as a reliable method for assessing stem rot resistance. Seven resistant genotypes identified through this assay can be utilized for the introgression of stem rot resistance into elite genotypes. Given the significant influence of the environment on stem rot resistance, it is essential to implement multi-season phenotyping to obtain precise results. Furthermore, the response to oxalic acid serves as a valuable supplement to traditional field phenotyping, since maintaining uniform disease pressure during field screenings is often challenging.

Mid to late Holocene Indian monsoon variability, aridification and civilization changes in the Deccan Plateau, India

Climate change has been a key driver throughout human history and has frequently been associated with the rise and fall of civilizations. Holocene settlement changes or population displacements were almost always preceded by changes in climate. A high-resolution sedimentary record from the western Bay of Bengal offers insights to centennial-scale mid- to late-Holocene Indian summer monsoon (ISM) variability and its role in the decline of chalcolithic human settlements on India's Deccan Plateau. Increased erosion in the Indian peninsula during the mid to late Holocene, due to aridification and agricultural expansion, is evidenced by higher sedimentation, more magnetic mineral content, coarser magnetic grain size, and increased sand content. The results from mineral magnetic and textural analyses reveal centennial-scale abrupt weak ISM during the Bond events in the core monsoon zone of India. The Deccan Chalcolithic civilizations flourished between ~4.0–3.0 ka BP owing to the favorable climatic conditions, but most of the settlements were deserted after ~3.0 ka BP. We argue that the abrupt weakening of ISM during Bond event 2 (~3.1–2.8 ka BP) caused this collapse of Deccan Chalcolithic. The results from this study together with the published records of number of settlements and summed radiocarbon dates suggest a climate-culture link in the Deccan Plateau. The weak ISM periods in this study are coherent with the records of total solar irradiance record and the percentage of hematite-stained grains from the North Atlantic and suggest solar control on these abrupt climatic events.

Adult Sex-Ratio Bias Does Not Lead to Detectable Adaptive Offspring Sex Allocation Via Nest-Site Choice in a Turtle With Temperature-Dependent Sex Determination.

Sex-ratio theory predicts that parents can optimise their fitness by producing offspring of the rare sex, yet there is a dearth of empirical evidence for adaptive sex allocation in response to the adult sex ratio (ASR). This is concerning, as anthropogenic disruption of the sex ratios of reproductive individuals threatens to cause demographic collapse in animal populations. Species with environmental sex determination (ESD) are especially at risk but may possess the capacity to adaptively influence offspring sex via control over the developmental environment. For example, reptiles with temperature-dependent sex determination (TSD) could conceivably choose nest sites with thermal characteristics that produce offspring of the rare sex. To test this hypothesis, we seeded three secure outdoor ponds with different sex ratios (~M:F 3:1, 1:1, and 1:3) of adult painted turtles (Chrysemys picta), a reptile species with TSD. We then quantified nesting traits that could influence nest temperature and thus offspring sex ratio, including nesting date, nest depth, and nest canopy cover. We found no directional relationship between the ASR treatments and any measured nest traits and thus rejected our hypothesis. Interestingly, increased maternal body size was associated with reduced nest canopy cover, and this trend was more pronounced in the biased ASR treatments. If adaptive sex allocation occurs in this system, it instead may manifest via maternal epigenetic predisposition of offspring sex or in response to a phenomenon other than the ASR.

Stability analysis and voltage improvement in DG-integrated distribution networks using VCPI-based critical buses and lines detection considering uncertain power factor

Voltage stability ensures reliable and efficient power transmission to end-users, making it essential for power system efficiency. Dynamic load changes and rising power requirements might cause voltage instability and strain performance. This paper investigates the voltage stability Indicators of distribution systems to address the voltage stability issue in power systems. The uncertain power factor and other numerous technical parameters that affect the voltage drop or voltage collapse are involved in predicting the system’s voltage stability. First, the analysis uses the voltage collapse proximity index (VCPI) technique, which considers bus voltage, impedance, uncertain power factor of load buses, and transmission line impedance at both ends. The applied technique correctly predicts and detects weak buses and transmission lines using different voltage stability indices since technical parameters are correlated with the VCP index. The index and line impedance correspond; consequently, the recommended indication compensates for voltage loss owing to impedance. Therefore, the VCPI is a better index for anticipating voltage collapse and finding network weak busses and lines. The implemented approach is simple, precise, and economical; the index technique detects weak buses and forecasts system collapse. Second, this work introduces EMFO-FPSO, a hybrid metaheuristic that improves voltage stability by combining Fractional-order particle swarm optimization (PSO) and Entropy design mouth flame optimization (MFO). The proposed approach is validated on the IEEE 33 bus system by identifying weak buses and optimizing distributed generation placement in the distribution system. The implemented solution approach based on VCPI and EMFO-FPSO optimization achieves a significant power loss reduction of 71.5% compared to the base case, whereas the reductions for ABC, ACO-ABC, and PSO are 57.3%, 60.7%, and 64.4%, respectively. Moreover, the proposed method attains a stable VCPI Index of 0.90, indicating a 10% enhancement in voltage stability relative to the base case. The study’s results, key findings, and comparisons show the relevance of the proposed method for voltage stability enhancement.

On the effectiveness of the collapse in the Diósi–Penrose model

Abstract The possibility that gravity plays a role in the collapse of the quantum wave function has been considered in the literature, and it is of relevance not only because it would provide a solution to the measurement problem in quantum theory, but also because it would give a new and unexpected twist to the search for a unified theory of quantum and gravitational phenomena, possibly overcoming the current impasse. The Diósi–Penrose model is the most popular incarnation of this idea. It predicts a progressive breakdown of quantum superpositions when the mass of the system increases; as such, it is susceptible to experimental verification. Current experiments set a lower bound R 0 ≳ 4 Å for the free parameter of the model, excluding some versions of it. In this work we search for an upper bound, coming from the request that the collapse is effective enough to guarantee classicality at the macroscopic scale: we find out that not all macroscopic systems collapse effectively. If one relaxes this request, a reasonable (although to some degree arbitrary) bound is found to be: R 0 ≲ 10 6 Å. This will serve to better direct future experiments to further test the model.

The Growing Cybersecurity Crisis in Healthcare: A Call to Action

Electronic healthcare technology is pervasive throughout the globe, and it affords vast opportunities to enhance clinical outcomes, as well as for the transformation of models of care. Concerns are, however, growing, related to healthcare data and device security. Increased connectivity to legacy computer networks brought cybersecurity vulnerabilities for medical devices. Healthcare represents an attractive target for cybercrime because healthcare data is precious. This sector in present times is full of unique cybersecurity challenges, especially for susceptible kinds of patient information at stake. Second, many legacy systems will be prevalent—not adding more to that—with the changing face of cyber threats. Cybersecurity breaches have comprised stealing health information and focused ransomware attacks on hospitals; this could mean as vivid an attack as on implanted medical devices. This only points to the fact that ransomware attacks and other kinds of cyber-attacks against hospitals and other medical facilities are gaining ground; there is every reason to get alarmed and put in place stricter cybersecurity measures. An excellent healthcare cybersecurity strategy, therefore, has to consider access control, intrusion detection systems, encryption techniques, and periodic security testing. Data breaches and cyber-attacks are forcing any healthcare provider to invest in new state-of-the-art technologies related to keeping pace with trends regarding cybersecurity. The dangers that can be caused by cyber-attack include a considerable diminution in patient trust, potential health system collapse, human life threats, etc. On the whole, cybersecurity is strenuously linked with the question of patient safety.

Why Civilizations Collapse: The Cruciality of Social Solidarity and the Dangers of Its Absence

This essay examines the complexities of civilizational collapse, proposing that it is not a singular event but a prolonged process driven by internal conflicts and external threats. It begins by defining the concept of collapse and uses historian Jared Diamond’s perspective to analyze how internal strife, such as loss of cultural identity, conflicting ideologies, and political division, can initiate the decline of a civilization due to a fragmentation of social solidarity. The essay then uses historical examples of the Islamic and Roman Empires to illustrate the importance of social solidarity for the survival of civilizations. It also discusses the internal challenges faced by modern civilization, including issues brought about by globalization, political polarization, East-West conflicts, global supply chain shortages, and how these factors can erode solidarity, posing a risk of collapse to the contemporary “world civilization.” The essay concludes by highlighting that internal conflicts and the absence of social solidarity are the primary causes of civilizational collapse, a theory that remains relevant for understanding the challenges faced by the global civilization today.

Increasing temperature threatens post‐fire auto‐successional dynamics of a Mediterranean obligate seeder

Abstract Reproductive traits influence plant auto‐successional dynamics in post‐fire regeneration. Obligate seeding species rely on their seedbank and on the climatic conditions following the fire to ensure a successful recovery, defining the window of opportunity for seedling emergence. In the Mediterranean basin, emergence opportunities generally begin with autumnal rains. However, climate change‐induced increases in temperature and drought could jeopardise the regeneration capacity of seeding species by causing temporal shifts in emergence opportunities or by modifying wildfire seasonality. This study aimed to explore the impact of experimentally induced climate change on regeneration dynamics of Aleppo pine (Pinus halepensis), a serotinous Mediterranean obligate seeder. In March 2021, we set up an 18‐month climate change simulation experiment with 15 open‐top chambers (OTC), each paired with a control subplot (CON) on top of Aleppo pines that were naturally regenerating after a stand‐replacing wildfire in SW Catalonia (June 2019). We tagged 178 young Aleppo pine recruits in OTC and CON subplots (98 and 81 respectively), classified according to their initial size, to periodically measure height growth and survival throughout the experiment duration. Furthermore, Aleppo pine seeds were seasonally sown (7900 total seeds) in 10 subplot pairs between May 2021 and April 2022, to monthly monitor temporal patterns of seedling emergence and survival. We found that OTCs reduced overall emergence rates and caused the loss of the autumnal window of opportunity for the emergence of Aleppo pine seedlings. Furthermore, seedlings which emerged within OTCs faced higher mortality rates in all seasons, with only 1% of seedlings surviving compared with 21.1% of seedlings in control plots. The OTC‐induced conditions were also detrimental to the survival of recruited seedlings, especially those with a smaller initial size, although no significant effects of temperature increase were found on growth. Synthesis. Climate change is likely to interfere with the post‐fire regeneration dynamics of obligate seeders by shortening the temporal window of opportunities for emergence and by enhancing the bottleneck effects throughout the recruitment process in the early phases of pine demographic recovery. Altogether, it could threaten post‐fire regeneration by increasing the hazard of a demographic collapse of Aleppo pine.

The resilience and determinants of global mineral resource supply chains: a network percolation perspective

Mineral resources are the basic materials for global economic development. Assessing mineral resource supply chain resilience is an important pillar of mineral resource supply chain stability management. The globality, heterogeneity and complexity of supply chain bring challenges to the resilience assessment of global mineral resource supply chain. To solve this problem, a method based on multi-region input-output model, network percolation model and econometric model is proposed, which is able to measure the resilience of global mineral resource supply chain and its influencing factors from the perspective of the whole system. The percolation phase transition is introduced to measure the critical state of global mineral resource supply chain system collapse facing external disruption. Using the proposed method, this paper conducts an empirical study on the evolution of global mineral resource supply chain resilience from 2005 to 2014. The results show that the resilience of global mineral resource supply chain declined by 39.6% in 2005–2014. Most of the critical links that caused the collapse of the global mineral resource supply chain network are the manufacturing sector and its upstream and downstream sectors. The structure of supply chain network plays a key role in network resilience. Increasing the number of linkages in upstream and downstream could improve network resilience, but the increase of linkage strength would deteriorate network resilience.

Fixing collapsed dry anaerobic digestion system of kitchen waste caused by severe VFAs accumulation

Severe inhibition by volatile fatty acids (VFAs) frequently occurs during the dry anaerobic digestion of kitchen waste at high organic load rate (OLR), leading to decreased biogas production and even the collapse of the anaerobic digestion system. In this study, VFAs accumulation was significantly reduced by adding powder-activated carbon (PAC) or alkaline additives (AA), thus restoring the collapsed system to a stable operating state. With the addition of PAC or AA, the maximal OLR reached 11.14 g VS/(L·d), which was 30 % higher than observed without any additives (control group), while the VFAs concentration was maintained below 3000 mg/L. At this OLR, the volumetric biogas production rate stabilized at 5.1 L/(L·d) in the presence of PAC and AA, while that of the control group gradually decreased to zero. The VFAs concentration with PAC addition was 86 % lower than that of the control group, possibly because PAC might stimulate the formation of direct interspecies electron transfer between syntrophic bacteria and methanogens (Methanosarcina), thereby promoting VFAs degradation. The addition of AA, which resulted in a 95 % decrease in ammonia-nitrogen concentration, can provide a good growth environment for the microorganisms involved in acidogenesis and hydrogenotrophic methanogenesis.

Synthesis of a dehydrodieugenol B derivative as a lead compound for visceral leishmaniasis-mechanism of action and in vivo pharmacokinetic studies.

Leishmaniasis is a parasitic neglected tropical disease, affecting 12 million people. Available treatments present several limitations, with an increasing number of resistance cases. In the search for new chemotherapies, the natural product dehydrodieugenol B was used as a scaffold for the synthesis of a series of derivatives, resulting in the discovery of the promising analog [4-(4-(5-allyl-3-methoxy-2-((4-methoxybenzyl)oxy)phenoxy)-3-methoxybenzyl)morpholine, 1]. In this work, we investigated the effect of compound 1 on cell signaling in Leishmania (L.) infantum, culminating in cell death, as well as its immunomodulatory effect in the host cell. Additionally, we performed a pharmacokinetic profile study in an animal model. After treatment, compound 1 induced the alkalinization of acidocalcisomes and concomitant Ca2+ release in the parasite. These events may induce depolarization of the mitochondrial potential, with successive collapse of the bioenergetic system, leading to a reduction of ATP and reactive oxygen species (ROS) levels. The analysis of total proteins and protein profile by matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF/MS) demonstrated that compound 1 also altered the parasite proteins after treatment. Transmission electron microscopy studies revealed ultrastructural damage to mitochondria; together, these data suggest that compound 1 may promote autophagic cell death. Additionally, compound 1 also induced an immunomodulatory effect in host cells, with a reduction of Th1 and Th2 cytokine response, characterizing an anti-inflammatory compound. The obtained pharmacokinetic profile in rats enhances the potential of the compound, with a mean plasma half-life (T1/2) of 21 h. These data reinforce the potential of compound 1 as a new lead for future efficacy studies.

Bioorthogonal Regulated Metabolic Balance for Promotion of Ferroptosis and Mild Photothermal Therapy.

The nanozyme with NADPH oxidase (NOX)-like activity can promote the consumption of NADPH and the generation of free radicals. In consideration of that the upregulation of glucose-6-phosphate dehydrogenase (G6PD) would accelerate the compensation production of NADPH, for inhibition of G6PD activity, our designed bioorthogonal nanozyme can in situ catalyze pro-DHEA to produce G6PD inhibitor and dehydroepiandrosterone (DHEA) drugs to inhibit G6PD activity. Therefore, the well-defined platform can disrupt NADPH homeostasis, leading to the collapse of the antioxidant defense system in the tumor cells. The enzyme-like activity of PdCuFe is further enhanced when irradiated by NIR-II light. The destruction of NADPH homeostasis can promote ferroptosis and, in turn, facilitate mild photothermal therapy. Our design can realize NADPH depletion and greatly improve the therapeutic effect through metabolic regulation, which may provide inspiration for the design of bioorthogonal catalysis.

Evolution of Pandemic Discourse: Portrayal of Diseases, Public Healthcare and Culture Anxiety in Pandemic-Themed Film

The pandemic-themed film reveals how quickly a virus spreads and kills hundreds or perhaps millions of people. It also highlights the horrible conditions surrounding the outbreak, especially the collapse of the country's healthcare system. The film also depicts the newly discovered infectious sickness as the interconnectedness of animals, the environment, and humans. The pandemic cinema in the past contains attributes such as illegal immigrants, public healthcare, and zoonoses in its narrative conventions. In the present films, the contemporary global issue have encroached on an ignorance on environmental issues among the government, the industry players, and the public on health and the high possibility of viruses spreading due to the activities of industry. This paper aims to assess the evolution of the portrayal of diseases and public healthcare that reflects cultural anxieties in pandemic cinema and what messages that these films convey. After screening seventy films with pandemic themed released within hundred years, only six films were analysed using Altman’s syntax approach. The findings found that, given the current state of the virus, this kind of film encourages viewers to understand pandemics as the result of pathogens attacking social interactions, interpersonal relationships, and other aspects of society.

INFORMATION WARFARE: ESSENCE AND FEATURES (END OF THE 20TH BEGINNING OF THE 21ST CENTURY)

The scientific research highlights the problem of the growth and formation of the concept of information war at the border of the 20th and 21st centuries, which was caused by the end of the «Cold War» and the collapse of the bipolar system of international relations. The main approaches to defining the content of the concept of «information war», its principles and tasks are analyzed. Information warfare is defined as an integral part of ideological struggle.

Why the Fermi paradox may not be well explained by Wong and Bartlett's theory of civilization collapse. A Comment on: 'Asymptotic burnout and homeostatic awakening: a possible solution to the Fermi paradox?' (2022) by Wong and Bartlett.

Wong and Bartlett explain the Fermi paradox by arguing that neither human nor extra-terrestrial civilizations can escape the time window singularity which, they claim, results from the way in which social characteristics of civilizations follow super-linear growth curves of cities. We question if data at the city level necessarily can lead to conclusions at the civilization level. More specifically, we suggest ways in which learnings from research, foresight, diversity and effective future government might act outside of their model to regulate super-linear growth curves of civilizations, and thus substantively increase the likelihood of civilizations progressing towards higher levels of the Kardashev scale. Moreover, we believe their claimed history of the collapse of terrestrial societies used to evidence their model is difficult to justify. Overall, we cast reasonable doubt on the ability of their proposed model to satisfactorily explain the Fermi paradox.

When the tide wanes: A study of post systemic collapse portfolio management

This study applies the Black–Litterman model to portfolio management in a post-crisis scenario, where standard parametric models often fail due to market irrationality and investor overreactions. The research focuses on the performance of surviving firms, identifying that over-performing stocks tend to outperform in the medium- to long-term, while under-performing stocks exhibit stronger short-term returns as the market corrects its initial overreaction. The study specifically adjusts views within the Black–Litterman framework using only the top and bottom quartiles of stocks, which experience the most significant shifts during a crisis. By controlling for firm size and book-to-market ratios, consistent with the Fama-French three-factor model, the research demonstrates that adjusting portfolio weights with the Black–Litterman model can achieve substantially higher returns with lower downside risk during recovery periods. These findings have significant implications for portfolio managers seeking to optimize returns in volatile, post-crisis markets.

Lightweight Deep Learning Algorithm for Sorting Medical Waste Embedded System

The recent COVID-19 pandemic has led to an increased number of hospitalized patients, and in some countries, the overwhelming problem has even caused the collapse of the healthcare system. Thus, the associated waste generated and inadequate waste disposal may have deleterious impacts on public health and the surrounding environment. This paper aims to design and implement an automatic medical waste identification and sorting mechanism that can distinguish the items disposed of via a series of image processing procedures. Specifically, the system can classify, sort, and calculate the disposed items based on their visual appearance. To establish this, both software and hardware systems have been devised. Particularly, the vision system for object detection and classification is constructed based on several popular pre-trained convolutional neural networks. Upon verifying the type of waste (i.e., general infection, dangerous infection, and general garbage), an automatic sorting mechanism will be triggered to dispose of the object in the corresponding garbage bin. The experimentation has been validated on a total of self-collected 2025 images from 3 categories, and the best accuracy attained is 99.34% when adopting GoogLeNet as the backbone architecture.

Brushstrokes of Change: Hieronymous Bosch and Rachel Gadsden's Evolving Portrayals of Disability

Historically, there has been a notable lack of representation of disability in western art history. Where disabilities are displayed, the artists’ intentions were often to convey moral corruption, religious infidelity, and the faults of society. Other times, the representations functioned scientifically as medical records. In fact, one of the most anatomically accurate representations of physical disability is credited to the early modern artist Hieronymous Bosch, who was known for his unfiltered commentary on the flaws of human society. Contrary to his typical surreal, vibrant, and sarcastic style, Cripples and Beggars (after 1570) (Fig. 1), a naturalistic and observational piece, offers a rare lens into how disability was portrayed during the early modern period. In contrast, Rachel Gadsden, a contemporary, disabled artist, foregrounds her identity as a disabled artist in her work Ubuntu (2012) (Fig. 2) and utilizes an expressive, abstract style to convey the fluidity of the disabled human form. Cripples and Beggars and Ubuntu, separated by centuries, provide a captivating shared subject for comparative analysis that transcends temporal boundaries. Cripples and Beggars provides an early explicit and moralizing depiction of physical disability as an isolating scourge while Rachel Gadsden focuses on abstract, yet recognizable human bodies in optimistic motion and community. Analysis of the varying style, medium, and intention reveals the evolved reception and, thus, depiction of disability. The evolution of the reception and depiction of disability from Hieronymous Bosch's Cripples and Beggars to Rachel Gadsden's "Ubuntu" signifies a shift from viewing disability as a symbol of moral corruption and societal decay to an expression of identity, resilience, and community.

Exosome-related gene identification and diagnostic model construction in hepatic ischemia-reperfusion injury.

Hepatic ischemia-reperfusion injury (HIRI) may cause severe hepatic impairment, acute hepatic insufficiency, and multiorgan system collapse. Exosomes can alleviate HIRI. Therefore, this study explored the role of exosomal-related genes (ERGs) in HIRI using bioinformatics to determine the underlying molecular mechanisms and novel diagnostic markers for HIRI. We merged the GSE12720, GSE14951, and GSE15480 datasets obtained from the Gene Expression Omnibus (GEO) database into a combined gene dataset (CGD). CGD was used to identify differentially expressed genes (DEGs) based on a comparison of the HIRI and healthy control cohorts. The impact of these DEGs on HIRI was assessed through gene set enrichment analysis (GSEA) and gene set variation analysis (GSVA). ERGs were retrieved from the GeneCards database and prior studies, and overlapped with the identified DEGs to yield the set of exosome-related differentially expressed genes (ERDEGs). Functional annotations and enrichment pathways of these genes were determined using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. Diagnostic models for HIRI were developed using least absolute shrinkage and selection operator (LASSO) regression and support vector machine (SVM) algorithms. Key genes with diagnostic value were identified from the overlap, and single-sample gene-set enrichment analysis (ssGSEA) was conducted to evaluate the immune infiltration characteristics. A molecular regulatory interaction network was established using Cytoscape software to elucidate the intricate regulatory mechanisms of key genes in HIRI. Finally, exosome score (Es) was obtained using ssGSEA and the HIRI group was divided into the Es_High and Es_Low groups based on the median Es. Gene expression was analyzed to understand the impact of all genes in the CGD on HIRI. Finally, the relative expression levels of the five key genes in the hypoxia-reoxygenation (H/R) model were determined using quantitative real-time PCR (qRT-PCR). A total of 3810 DEGs were identified through differential expression analysis of the CGD, and 61 of these ERDEGs were screened. Based on GO and KEGG enrichment analyses, the ERDEGs were mainly enriched in wound healing, MAPK, protein kinase B signaling, and other pathways. GSEA and GSVA revealed that these genes were mainly enriched in the TP53, MAPK, TGF[Formula: see text], JAK-STAT, MAPK, and NFKB pathways. Five key genes (ANXA1, HNRNPA2B1, ICAM1, PTEN, and THBS1) with diagnostic value were screened using the LASSO regression and SVM algorithms and their molecular interaction network was established using Cytoscape software. Based on ssGSEA, substantial variations were found in the expression of 18 immune cell types among the groups (p < 0.05). Finally, the Es of each HIRI patient was calculated. ERDEGs in the Es_High and Es_Low groups were enriched in the IL18, TP53, MAPK, TGF[Formula: see text], and JAK-STAT pathways. The differential expression of these five key genes in the H/R model was verified using qRT-PCR. Herein, five key genes were identified as potential diagnostic markers. Moreover, the potential impact of these genes on pathways and the regulatory mechanisms of their interaction network in HIRI were revealed. Altogether, our findings may serve as a theoretical foundation for enhancing clinical diagnosis and elucidating underlying pathogeneses.