Risk Events Research Articles

The role and possible mechanism of the ferroptosis-related SLC7A11/GSH/GPX4 pathway in myocardial ischemia-reperfusion injury

BackgroundMyocardial ischemia-reperfusion injury (MI/RI) is an unavoidable risk event for acute myocardial infarction, with ferroptosis showing close involvement. We investigated the mechanism of MI/RI inducing myocardial injury by inhibiting the ferroptosis-related SLC7A11/glutathione (GSH)/glutathione peroxidase 4 (GPX4) pathway and activating mitophagy.MethodsA rat MI/RI model was established, with myocardial infarction area and injury assessed by TTC and H&E staining. Rat cardiomyocytes H9C2 were cultured in vitro, followed by hypoxia/reoxygenation (H/R) modeling and the ferroptosis inhibitor lipoxstatin-1 (Lip-1) treatment, or 3-Methyladenine or rapamycin treatment and overexpression plasmid (oe-SLC7A11) transfection during modeling. Cell viability and death were evaluated by CCK-8 and LDH assays. Mitochondrial morphology was observed by transmission electron microscopy. Mitochondrial membrane potential was detected by fluorescence dye JC-1. Levels of inflammatory factors, reactive oxygen species (ROS), Fe2+, malondialdehyde, lipid peroxidation, GPX4 enzyme activity, glutathione reductase, GSH and glutathione disulfide, and SLC7A11, GPX4, LC3II/I and p62 proteins were determined by ELISA kit, related indicator detection kits and Western blot.ResultsThe ferroptosis-related SLC7A11/GSH/GPX4 pathway was repressed in MI/RI rat myocardial tissues, inducing myocardial injury. H/R affected GSH synthesis and inhibited GPX4 enzyme activity by down-regulating SLC7A11, thus promoting ferroptosis in cardiomyocytes, which was averted by Lip-1. SLC7A11 overexpression improved H/R-induced cardiomyocyte ferroptosis via the GSH/GPX4 pathway. H/R activated mitophagy in cardiomyocytes. Mitophagy inhibition reversed H/R-induced cellular ferroptosis. Mitophagy activation partially averted SLC7A11 overexpression-improved H/R-induced cardiomyocyte ferroptosis. H/R suppressed the ferroptosis-related SLC7A11/GSH/GPX4 pathway by inducing mitophagy, leading to cardiomyocyte injury.ConclusionsIncreased ROS under H/R conditions triggered cardiomyocyte injury by inducing mitophagy to suppress the ferroptosis-related SLC7A11/GSH/GPX4 signaling pathway activation.

Analysis Risk Mitigation of Delay in Delivery Using House of Risk Method (Case: Air Cargo Transportation)

Logistics Service Provider Companies are responsible for ensuring the delivery of goods using land modes, sea modes and air modes on time. However, in reality there are many problems and obstacles faced in order to guarantee one of these important key performance indicators. This research uses the house of risk method to identify the causes of the risk of delays and design mitigation strategies that can be done to overcome this problem by conducting interviews and filling out house of risk questionnaires with respondents who understand the problem. In this research, 13 risk events and 19 risk agents were found, and 9 priority risk agents were found to cause the problem. After that, activities were carried out to design mitigation strategies that could be carried out and 8 preventive actions were identified and the sequence that must be carried out to overcome the risk of delays.

Estimating the effect of inclisiran on hypercholesterolemia and primary prevention of cardiovascular disease: the NHANES 1999–2018 study

BackgroundHypercholesterolemia has been identified as an independent predictor of cardiovascular disease (CVD). Inclisiran, an innovative small interfering RNA agent, is anticipated to result in a notable reduction of approximately 50% in low-density lipoprotein cholesterol (LDL-C) levels. Given its transformative impact, this study scrutinized the eligibility of the US population for inclisiran treatment and evaluated its potential effects on hypercholesterolemia and the primary prevention of CVD.MethodsThis study applied the eligibility criteria from the ORION 10 and 11 trials to the 1999–2018 National Health and Nutrition Examination Survey (NHANES) dataset to estimate the size of the eligible population for atherosclerotic cardiovascular disease (ASCVD) and ASCVD-risk equivalents. Utilizing the reduction in LDL-C levels from ORION 10, this study predicted the impact of inclisiran on LDL-C levels among ASCVD patients. Similarly, leveraging the changes in lipid levels from ORION 11, this study predicted inclisiran’s effect on the 10-year change in CVD risk and preventable CVD events in the ASCVD-risk equivalents population, employing the Framingham CVD Risk Score.ResultsThe study identified 579 ASCVD patients (5 million) and 382 ASCVD-risk equivalents (2.66 million) who met the eligibility criteria from ORION 10 and 11. Among the ASCVD population, 3.5 million (70.2%) would achieve a ≥ 50% reduction in LDL-C levels after treatment. Furthermore, 4.6 million (91.3%) would achieve LDL-C levels < 70 mg/dL, and 3.8 million (75%) would achieve LDL-C levels < 55 mg/dL after treatment. For the ASCVD-risk equivalents population, the estimated 10-year CVD risk would decrease from 25.3 to 17.7%, an absolute reduction of 7.6% and a relative reduction of 30% following inclisiran treatment, potentially preventing 202,353 CVD events over a decade, including 138,084 coronary heart disease cases, 37,351 strokes, and 23,894 congestive heart failure cases.ConclusionsInclisiran has the potential to substantially reduce the prevalence of hypercholesterolemia and prevent nearly 200,000 CVD events in eligible US adults.

Advancing the complex adaptive systems approach to enterprise risk management with quantified risk networks (QRNs)

Business enterprises are complex adaptive systems (CAS) subject to fragility caused by the non-linear effects of uncertain risk events. The regional bank collapses in the United States are a case in point. Recent papers have highlighted a shortcoming of the traditional risk management process, which focuses on compliance but considers neither the interdependence between complex risks nor the mechanism of their non-linear impact on the organization. A new perspective on Enterprise Risk Management (ERM) has instead called for a shift of mindset from mitigating risk to building resilience by honing a CAS view to contextualize, assess, and manage complex risks. But the building blocks needed for a CAS representation of ERM have not yet been systematically developed. Specifically, we are missing a typological inventory of risks and a mapping of risks onto the general structure of an enterprise. In this paper, we build an industry-agnostic inventory of plausible risk factors using information extraction on large scale text data. Additionally, we develop an understanding of risk-function and function-function interdependencies through a survey of top business managers. The result is a novel complex network view of enterprise risk called a Quantified Risk Network (QRN) that displays small-world properties and highlights internal company functions central to non-linear risk propagation mechanisms within the enterprise. The QRN draws attention to vulnerabilities in the enterprise structure such as risk-function connections measured by Edge Betweenness centrality. The generic QRN developed herein is a proof of concept and we advocate that enterprises build their own company-specific QRNs to identify highly connected and central functions in their company structure that could lead to cascading failure when specific risks arise. QRNs can contribute to the objective of building enterprise resilience.

Comparing the prognosis of esophageal adenocarcinoma with bone and liver metastases: A competing risk analysis.

About half of the patients with esophageal cancer are presenting with metastasis at initial diagnosis. However, few studies have concerned on the prognostic factors of metastatic esophageal adenocarcinoma (mEAC). This research aimed to investigate the effects of single bone metastasis (BM) and single liver metastasis (LM) on prognosis of mEAC patients. Data were obtained from the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) Program database. We compared the effects of LM and BM on overall survival (OS), EAC-specific survival (CSS), and EAC-specific death (EASD) by multivariate Cox regression, Kaplan-Meier analysis, and competing risk regression models. A total of 1,278 EAC patients were recruited in this study. Of which 78.95% (1009/1278) were EASD, and 12.68% (162/1278) were non-EAC-specific death (non-EASD). In multivariate Cox regression analysis, surgery, chemotherapy, and AJCC.T2 (vs. T1) were identified as protective factors for OS&CSS, while divorced/separated, single/unmarried (vs. married), grade III-IV (vs. grade I-II) and BM (vs. LM) were identified as risk factors. Competing risk regression analysis further confirmed that surgery and chemotherapy were beneficial to the patients with mEAC, and BM (vs. LM) was a risk factor for mEAC patients when considering the existence of the competitive risk events. Our study indicated that mEAC patients with BM face a worse prognosis compared to those with LM. Additionally, surgery and chemotherapy emerge as protective factors for mEAC patients. These findings offer evidence-based insights for clinical management and contribute to the field.

The relativity of perspective: exploring the disconnect between Indigenous and Western paradigms of disaster risk perception

PurposeThis article demonstrates how psycho-sociological concepts have a place in disaster risk sciences. It draws attention to the relationship between risk perception and disaster management from Western and traditional viewpoints.Design/methodology/approachThis paper is conceptual and draws from published works. The systematic literature review (SLR) methodology was adopted to analyse existing literature on the subject matter.FindingsRisk perception evolved over centuries and disciplines until it found applicability in modern times. Despite the proliferation of western science-based approaches to risk perception, Indigenous knowledge systems still hold sway over communities’ understanding of risk. These perspectives are enshrined in religious and cultural convictions that become the lenses through which a society assigns cause, effect and remedy to risk events. A deeper understanding of these convictions enables disaster risk management strategies to be better accepted by those at risk and to align with their lived realities.Originality/valueRisk perception becomes the lens through which we better understand the realities and complexities of populations at risk. Indigenous knowledge systems have a strong influence on society’s perception of risk and if they are not harnessed and studied, they will stand in conflict with Western approaches. Hence, the study of the nexus between risk perception and disaster management presents an opportunity for policymakers and practitioners to design risk management solutions that have a higher chance of acceptance and sustainability.

Incremental prognostic value of left atrial strain in apical hypertrophic cardiomyopathy: a cardiovascular magnetic resonance study.

This study aimed to evaluate the prognostic value of left atrial (LA) strain in patients with apical hypertrophic cardiomyopathy (ApHCM), as assessed by cardiac magnetic resonance (CMR) imaging. Four hundred and five consecutive patients with ApHCM who underwent CMR examination were retrospectively included. The study endpoint included all-cause death, heart transplant, aborted sudden cardiac death, hospitalization for heart failure, stroke, and new-onset atrial fibrillation (AF). After a median follow-up of 97 months, 75 patients (18.5%) reached the endpoint. Patients were divided into two groups based on the median LA reservoir strain of 29.4%. The group with lower LA reservoir strain had thicker maximum wall thickness, greater late gadolinium enhancement extent, and smaller end-diastolic volume index, stroke volume index, and cardiac index (all p < 0.02). For LA parameters, this subgroup showed greater diameter and volume index and worse ejection fraction, reservoir, conduit, and booster strain (all p < 0.001). In the multivariable model, age (HR 1.88, 95% CI: 1.06-3.31, p = 0.030), baseline AF (HR 2.95, 95% CI: 1.64-5.28, p < 0.001), LA volume index (LAVi) (HR 2.07, 95% CI: 1.21-3.55, p = 0.008) and LA reservoir strain (HR 2.82, 95% CI: 1.51-5.26, p = 0.001) were all associated with the outcome. Adding LAVi and LA reservoir strain in turn to the multivariable model (age and baseline AF) resulted in significant improvements in model performance (p < 0.001). In ApHCM patients, LA reservoir strain is independently associated with cardiovascular risk events and has an incremental prognostic value. Left atrial reservoir strain measured by cardiac magnetic resonance is highly correlated with the prognosis of apical hypertrophic cardiomyopathy and has potential incremental value in the prognosis of major adverse cardiac events. Left atrial (LA) strain parameters may be useful for risk stratification and treatment of apical hypertrophic cardiomyopathy (ApHCM). Apical hypertrophic cardiomyopathy (ApHCM) is independently associated with LA morphology and function. Cardiac MR examination, especially its feature-tracking technology, provides the possibility to prognosticate ApHCM at an early stage.

Re-examining China and the u.s.’s respective green bond markets in extreme conditions: Evidence from quantile connectedness

This study explores the role of green bonds in mitigating risks during extreme conditions, considering China and the US’ robust green bond markets and global risk events. It analyzes the interconnectedness of green bonds with other sectors like conventional bonds, equities, crude oil, and monetary policy. Using the quantile connectedness approach, it reveals how stabilized green bond markets in both countries act as hedges during extreme situations. By examining time-varying spillover effects, it identifies commonalities and differences in linkages between green bond markets and other sectors. These findings endorse green bonds’ integration into finance and hold implications for enhancing portfolio management and risk models.

The Effects of Flood Damage on Urban Road Networks in Italy: The Critical Function of Underpasses

The urban areas of Mediterranean Europe, and particularly Italy, have experienced considerable expansion since the late 19th century in terms of settlements, structures, and infrastructure, especially in large population centers. In such areas, the geohydrological risk is high not only for inhabited areas but also along roadways exposed to flooding. This scenario is worrying, especially in road underpass sections, where drivers are unlikely to perceive a real risk due to the high degree of confidence that comes from the habit of driving. Underpasses have been widely used to obviate the need to find shorter alternative routes and manage vehicular traffic in urban settings impeded by previous anthropogenic and natural constraints. To assess the numerical consistency, frequency, and areal distribution of flood risk around road underpasses, several hundred pieces of data were selected (mostly from international, national and local newspapers, CNR IRPI archive and local archives) and cataloged in a thematic database, referring mainly to the Italian territory. The behavioral aspects in the face of risk were also examined in order to provide a better understanding and raise awareness for preventive purposes. The results of this specific CNR research, which lasted about two years, confirm the exposure of underpasses to extreme risk events, affecting road users. In Italy alone, between 1942 and 2023, 698 underpasses were identified as having experienced a flooding event at least once. The database shows that 680 vehicles were involved in Italy, with a total of at least 812 individuals, of whom 19 died. Despite incomplete and uneven information, the findings of the analysis regarding the increment in underpasses flooding and the drivers action in front of a flooded underpass may be useful for undertaking the appropriate mitigation strategies.

Contraceptive risk events among family planning specialists: a cross sectional study

BackgroundProponents of abortion restriction cite advancements in contraceptive technology as a reason against the need for abortion care today, most recently through oral arguments in the Supreme Court of the United States case, Dobbs v. Jackson Women’s Health. However, consistent and correct use of contraception requires reproductive health literacy. Our objectives were to quantify contraceptive risk events and assess contraceptive history and preferences among a population well-equipped to evade contraceptive risks, family planning specialists following initiation of their medical training. “Risk events” are defined as reported episodes of contraceptive failure, emergency contraception use and/or unprotected or underprotected intercourse.MethodsThis was a cross-sectional study among current members of a professional organization of family planning specialists. Inclusion criteria included: status as a current or retired clinician, consensual penile-vaginal intercourse and personal or partner capacity to become pregnant since the start of medical training. Descriptive statistics were performed. This study was IRB exempt.ResultsAmong 229 respondents, 157 (69%) reported experiencing a contraceptive risk event since training. Twenty-nine (13%) respondents reported an occurrence within the last year. By category, 47% (108/229; 3 reported unknown) reported under- or unprotected intercourse, 35% (81/229) reported emergency contraception use, and 52% of participants (117/227; 2 unknown) reported known or suspected contraceptive failure. The mean number of contraceptive methods used was 3.7 (SD 1.7) out of the 13 methods listed. Almost all (97%) participants reported at least one method was not an acceptable option, with a mean of 5.6 (SD 2.7) of the 13 listed methods.ConclusionsThe majority of family planning specialists have experienced contraceptive risk events during times of active pregnancy prevention since their medical training. Contraceptive method change is common and most respondents were limited in the number of methods that were personally acceptable to them. Dialogue idealizing the role of contraception in minimizing or eliminating abortion need is simplistic and inaccurately represents the lived realities of pregnancy-capable individuals and their partners, including among those with exceptional contraceptive literacy and access.

Drowning Among Children 1-4Years of Age in California, 2017-2021.

Drowning, the leading cause of unintentional injury death among California children less than five years of age, averaged 49 annual fatalities for the years 2010-2021. The California Pool Safety Act aims to reduce fatalities by requiring safety measures around residential pools. This study was designed to analyze annual fatality rates and drowning incidents in California among children 1-4years of age from 2017-2021. We identified fatalities, injury hospitalizations, and emergency department (ED) visits from California state vital statistics death data and state hospital and ED discharge data using the EpiCenter California Injury Data Online website. Over the five-year study period, 4,166 drowning incidents were identified: 234 were fatalities, 846 were hospitalizations, and 3,086 were ED visits. The observed difference in fatality rates from 2017 to 2021 failed to achieve statistical significance (P = 0.88). Location-based analysis of the 234 fatal drowning incidents revealed that pools were the most common injury site, accounting for 65% of the cases. Drowning remains the leading cause of unintentional, injury-related death among California children 1-4years of age, as the annual rate of fatality over the five-year study period did not decline. While the EpiCenter California Injury Data Online website is excellent for analyzing annual rates of drowning incidents among California residents over time, it is limited in providing insight into modifiable risk factors and event circumstances that can further inform prevention. The development of robust integrated fatal and non-fatal local, state, and national systematic data collection systems could aid in moving the needle in decreasing pool fatalities among young children.

An evaluation method of construction reliability of cable system of cable-stayed bridge based on Bayesian network

PurposeAs an important load-bearing component of cable-stayed bridge, the cable-stayed cable is an important load-bearing link for the bridge superstructure and the load transferred directly to the bridge tower. In order to better manage the risk of the cable system in the construction process, the purpose of this paper is to study a new method of dynamic risk analysis of the cable system of the suspended multi-tower cable-stayed bridge based on the Bayesian network.Design/methodology/approachFirst of all, this paper focuses on the whole process of the construction of the cable system, analyzes the construction characteristics of each process, identifies the safety risk factors in the construction process of the cable system, and determines the causal relationship between the risk factors. Secondly, the prior probability distribution of risk factors is determined by the expert investigation method, and the risk matrix method is used to evaluate the safety risk of cable failure quantitatively. The function expression of risk matrix is established by combining the probability of risk event occurrence and loss level. After that, the topology structure of Bayesian network is established, risk factors and probability parameters are incorporated into the network and then the Bayesian principle is applied to update the posterior probability of risk events according to the new information in the construction process. Finally, the construction reliability evaluation of PAIRA bridge main bridge cable system in Bangladesh is taken as an example to verify the effectiveness and accuracy of the new method.FindingsThe feasibility of using Bayesian network to dynamically assess the safety risk of PAIRA bridge in Bangladesh is verified by the construction reliability evaluation of the main bridge cable system. The research results show that the probability of the accident resulting from the insufficient safety of the cable components of the main bridge of PAIRA bridge is 0.02, which belongs to a very small range. According to the analysis of the risk grade matrix, the risk grade is Ⅱ, which belongs to the acceptable risk range. In addition, according to the reverse reasoning of the Bayesian model, when the serious failure of the cable system is certain to occur, the node with the greatest impact is B3 (cable break) and its probability of occurrence is 82%, that is, cable break is an important reason for the serious failure of the cable system. The factor that has the greatest influence on B3 node is C6 (cable quality), and its probability is 34%, that is, cable quality is not satisfied is the main reason for cable fracture. In the same way, it can be obtained that the D9 (steel wire fracture inside the cable) event of the next level is the biggest incentive of C6 event, its occurrence probability is 32% and E7 (steel strand strength is not up to standard) event is the biggest incentive of D9 event, its occurrence probability is 13%. At the same time, the sensitivity analysis also confirmed that B3, C6, D9 and E7 risk factors were the main causes of risk occurrence.Originality/valueThis paper proposes a Bayesian network-based construction reliability assessment method for cable-stayed bridge cable system. The core purpose of this method is to achieve comprehensive and accurate management and control of the risks in the construction process of the cable system, so as to improve the service life of the cable while strengthening the overall reliability of the structure. Compared with the existing evaluation methods, the proposed method has higher reliability and accuracy. This method can effectively assess the risk of the cable system in the construction process, and is innovative in the field of risk assessment of the cable system of cable-stayed bridge construction, enriching the scientific research achievements in this field, and providing strong support for the construction risk control of the cable system of cable-stayed bridge.

Risk factors that limit use of oral JAK inhibitors in chronic hand eczema: Findings from the Danish Skin Cohort

BackgroundOral Janus kinase inhibitors (JAKi) have black-box warnings of infections, cancer risk, cardiovascular and venous thromboembolic events. They may be used off-label for chronic hand eczema (CHE). ObjectivesAssess prevalence of risk factors potentially impacting oral JAKi safety in CHE patients. MethodsIn the Danish Skin Cohort, CHE patients were examined for risk factors affecting oral JAKi use at baseline and followed for 12 months. Data were collected through register linkage (e.g., cancer history) and through patient interviews (e.g., smoking habits). ResultsOf 941 adults with CHE (66.2% women; mean age 55.5 [standard deviation 13.3] years), 768 (81.6%) patients had at least one risk factor potentially impacting oral JAKi use, of which 682 (72.5%) had non-modifiable risk factors. Most common risk factors were current or former heavy smoking (62.8%, n=591), obesity (28.1%, n=264), hypercholesterolemia (21.5%, n=202), and hypertension (18.8%, n=177). Among patients without any risk factors at baseline (n=173), 20.2% (n=35) developed ≥1 risk factor during the following 12 months. LimitationsCertain risk factors may be underreported. ConclusionMost CHE patients have risk factors limiting appropriateness of oral JAKi use. Health care providers should assess risk factors in their patients when choosing treatment for CHE.

Comparative effectiveness of pneumococcal vaccination strategies to prevent invasive pneumococcal disease: a population-based cohort study at the veterans health administration in the United States

ObjectivesComparative effectiveness of 13-valent pneumococcal conjugate vaccine (PCV13), 23-valent polysaccharide vaccine (PPSV23), and their combinations for adults in preventing invasive pneumococcal disease (IPD) has yet to be thoroughly investigated. We aimed to estimate the comparative effectiveness of preventing IPD, using population-based data from the Veterans Health Administration (VHA) in the United States. MethodsWe included all patients who were between 65 and 74 years, had established primary care within VHA between 2005 and 2021, and had not received any prior pneumococcal vaccination. We measured time-to-event from cohort enrolment to the onset of IPD, considering death a competing risk event, and used Cox regression models to estimate cause-specific hazards. PCV13 only, PPSV23 only, PCV13 after PPSV23, and PPSV23 after PCV13 were incorporated into models as time-dependent covariates. Patient demographics and comorbidities were also included in the model. ResultsA total of 3 044 067 patients were enrolled in the cohort, with 863 958 deaths (28.4%) and 1731 cases of IPD (0.06%) during the study period. The overall incidence rate of IPD in this population was 5.36 per 100 000 patient-years. A total of 921 070 patients (30.3%) received at least one dose of effective pneumococcal vaccine. In multivariate analysis adjusted for comorbidities, PCV13 alone was not associated with the reduced risk of IPD, whereas PPSV23 had protective association with IPD incidence (adjusted hazard ratio [aHR], 0.70; 95% CI, 0.59–0.83). When combined, PCV13 followed by PPSV23 had a stronger protective association (aHR, 0.54; [0.36–0.83]) compared with PPSV23 followed by PCV13 (aHR, 0.73; [0.58–0.91]). Discussion: In this large cohort study at the VHA, the combination of PCV13 and PPSV23, particularly PCV13 followed by PPSV23, was associated with a lower risk of IPD, indicating additional benefits in combined vaccinations with potential importance in vaccination order. Further studies are needed to evaluate the effect of newer pneumococcal vaccines.

Supply Chain Risk Mitigation Based on The Integration of House of Risk and MOORA

Supply chains play a critical role in the operational success of organizations, impacting both costs and product quality. However, they are often exposed to various risks that can disrupt business processes. This research aims to identify supply chain risks and propose mitigation strategies using the House of Risk (HOR) and Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) methods. Through interviews, key issues were identified in a fiberglass company's supply chain, including raw material supply fluctuations, procurement cost variability, defective materials, inappropriate specifications, outdated technology, insufficient worker skills, and ambitious company targets. The novelty of this study lies in the application of MOORA, which introduces a correlation matrix for risk mitigation by considering both cost minimization and benefit maximization. The analysis identified 12 risk agents and 26 risk events, which were prioritized using HOR stage 2 with the MOORA method. The top preventive actions were ranked, providing actionable recommendations for companies to address supply chain risks more effectively. The findings of this research offer practical insights for companies in the fiberglass industry to enhance supply chain resilience by integrating cost and benefit considerations into their risk management strategies.

Applicable International Standardized Basis in Defining Data for Security Systems Development

Creating an intelligent security environment is one of the main trends in the activity of scientific organizations, where security technologies are a significant part of the product range. Organizations using these technologies, including critical infrastructure with built-in security systems, provide increased operational efficiency, guaranteeing readiness for action in emergency situations. For this purpose, standardized approaches are applied to determine the requirements for the development of security systems, according to the specifics of the organization, ensuring the prevention of any level of potential consequences of possible risk events, both in the structural objects of the organization and for the population in the adjacent territories. The author's intention is through this publication to present his experience in the application of modern standardized approaches ensuring the construction and operation of critical infrastructure security systems developed by scientific organizations in the conditions of key partnerships of the Competence Center.

Effects of multiple protection model in the operating room on physiological stress and risk events in patients undergoing coronary artery stent implantation

ObjectiveTo analyze the impact of multiple protection model in the operating room on patients’ physiological stress and risk events after coronary artery stent implantation (CASI).MethodsDuring October 2021 to October 2022, 150 patients with coronary heart disease (CHD) were picked as the research subjects, all of whom underwent CASI. The clinical data were retrospectively analyzed, and the patients were divided into two groups according to different nursing methods, with 75 cases in each group. Patients in the intervention group received multiple protection model intervention in the operating room, and the patients in the control group adopted conventional care model. The patient satisfaction with nursing, postoperative recovery, psychological stress scores, physiological stress indicators, and adverse cardiac risk events were recorded.ResultsPatients in the intervention group had much higher percentage of the patient satisfaction with nursing than those in the control group (P < 0.05). The time to get out of bed and hospital stay was significantly shorter and the 6-min walking distance was markedly longer in the intervention group than the control (P < 0.05). The Hamilton Anxiety (HAMA) scale and Hamilton Depression (HAMD) scale score of patients in two groups were sharply decreased after the intervention (P < 0.05), which were strongly lower in the intervention group than the control (P < 0.001). After the intervention, the heart rate, cortisol and epinephrine of patients were all sensibly elevated in two groups (P < 0.05), which were all memorably lower in the intervention group than the control (P < 0.001). The incidence of adverse cardiac risk events in the intervention group was 5.33%, which was dramatically lower than 16.00% in the control group (P < 0.05).ConclusionThe application of multiple protection model in the operating room on patients undergoing coronary stent implantation promoted postoperative recovery, reduced patients' psychological and physiological stress, maintained blood pressure and other vital signs, reduced the incidence of adverse cardiac risk events, and improved the patient satisfaction with nursing.

An Enhanced Credit Risk Evaluation by Incorporating Related Party Transaction in Blockchain Firms of China

Related party transactions (RPTs) can serve as channels for the spread of credit risk events among blockchain firms. However, current credit risk-assessment models typically only consider a firm’s individual characteristics, overlooking the impact of related parties in the blockchain. We suggest incorporating RPT network analysis to improve credit risk evaluation. Our approach begins by representing an RPT network using a weighted adjacency matrix. We then apply DANE, a deep network embedding algorithm, to generate condensed vector representations of the firms within the network. These representations are subsequently used as inputs for credit risk-evaluation models to predict the default distance. Following this, we employ SHAP (Shapley Additive Explanations) to analyze how the network information contributes to the prediction. Lastly, this study demonstrates the enhancing effect of using DANE-based integrated features in credit risk assessment.

A cross-institutional database of operational risk external loss events in Chinese banking sector 1986–2023

Nowadays the collection of operational risk data worldwide highly relies on human labor, leading to slow updates, data inconsistency, and limited quantity. There remains a substantial shortage of publicly accessible operational risk databases for risk analysis. This study proposes a new data collection framework by aggregating text mining methods to replace the exhausting manual collection process. The news about operational risk can be automatically collected from the web page, then its content is analyzed and the key information is extracted. Finally, the Public-Chinese Operational Loss Data (P-COLD) database for financial institutions is constructed and expanded. Each record contains 12 key information, such as occurrence time, loss amount, and business lines, offering a more thorough description of operational risk events. With 3,723 data records from 1986 to 2023, the P-COLD database has become one of the largest and most comprehensive external operational risk databases in China. We anticipate the P-COLD database will contribute to advancements in operational risk capital calculations, dependence analysis, and institutional internal controls.

Temporal-spatial-fusion-based risk assessment on the adjacent building during deep excavation

Foundation pit excavation will inevitably cause uneven ground settlement to pose potential risks to adjacent structures and infrastructures. To better perceive the risk status of adjacent buildings using multi-source information, a temporal-spatial-fusion-based risk assessment (TSFRA) model under the consideration of uncertainty and causality is developed by integrating FAHP (Fuzzy Analytic Hierarchy Process), DGDT (DAG-GNN, DEMATEL method, and topological analysis), and CM (cloud model). More specifically, FAHP handles temporal weights of excavation conditions based on expert knowledge. DGDT determines spatial weights for monitoring points, with DAG-GNN constructing causal graphs in a data-driven manner, DEMATEL handling global interactions, and topological analysis calculating node importance. CM can finally fuse the temporal (excavation conditions) and spatial (monitoring points) weights with settlement monitoring data, resulting in qualitative assessments of the overall risk status of adjacent buildings in uncertain environments. The proposed TSFRA is verified in the case of a Shanghai metro station construction project. Results indicate that the perceived risk of the project is at a relatively low level, consistent with the actual condition. High-risk excavation conditions and locations can be easily identified. There is a trend toward higher risk during the excavation of soft soil layers, and thus some risk control measures can be formulated to avoid potential risk events. In short, the weight determination and fusion method in TSFRA contribute to handling uncertainties in expert judgments and causalities in collected data, which can practically provide more reliable decision-making in excavation-induced risk assessment and control for ensuring the safety of adjacent buildings.