Common Risk Assessment Research Articles

Forensic Aftercare Facilities and Their Impact on the Releasability of Persons Who Committed Sexual Offenses: A Three Group Comparison.

Partly due to a lack of release options for individuals who committed sexual offenses, forensic follow-up treatment has been strengthened latest since 2007. The current study investigates whether the foundation of a professionalized follow-up-treatment has actually improved release options for individuals who committed sexual offenses. Thus, the aim of the present study was to assess the difference in criminogenic needs and recidivism relevant characteristics (e.g., index offense, criminal history, psychiatric diagnoses and risk assessment) between three groups who had been released from forensic psychiatry at different times or under different outpatient follow-up modalities: (1) individuals released prior the foundation of professionalized follow-up-treatment, (2) individuals released after the foundation and received treatment, and (3) individuals released after the foundation but not receiving this special treatment. It was found that with the availability of professionalized forensic followup treatment, persons with higher scores in common risk assessment tools and a longer duration of implacement had been released. Indeed, this indicates an increased risk tolerance among decision makers. However, it was not those who were released after the foundation of the professionalized forensic follow-up treatment but without this specific treatment who showed the lowest initial risk, but those who were released prior to the foundation. Results are discussed in terms of possible explanations and methodological issues.

Comparing Common Risk Assessment Tools to Predict Outcomes in Total Knee Arthroplasty

BackgroundA number of tools exist to aid surgeons in risk assessment, including the Charlson Comorbidity Index (CCI), the Elixhauser Comorbidity Index (ECI), and various measures of frailty, such as the Hospital Frailty Risk Score (HFR). While all of these tools have been validated for general use, the best risk assessment tool is still debated. Risk assessment is particularly important in elective surgery, such as total joint arthroplasty. The aim of this study is to compare the predictive power of the CCI, ECI, and HFR in the setting of total knee arthroplasty (TKA). MethodsAll patients who underwent TKA were identified via International Statistical Classification of Diseases and Related Health Problems, Tenth Revision code from the National Readmissions Database, years 2016 to 2019. Patient demographics, perioperative complications, and hospital-associated outcomes were recorded. Receiver operating characteristic (ROC) curves were created and area under the curves (AUCs) evaluated to gauge the predictive capabilities of each risk assessment tool (CCI, ECI, and HFR) across a range of outcomes. ResultsA total of 1,930,803 patients undergoing TKA were included in our analysis. For mortality, ECI was most predictive (0.95 AUC), while HFR and CCI were 0.75 and 0.74 AUC, respectively. For periprosthetic fractures, ECI was 0.78 AUC, HFR was 0.68 AUC, and CCI was 0.66 AUC. For joint infections, the ECI was 0.78 AUC, the HFR was 0.63 AUC, and the CCI was 0.62 AUC. For 30-day readmission, ECI was 0.79 AUC, while HFR and CCI were 0.6 AUC. For 30-day reoperation, ECI was 0.69 AUC, while HFR was 0.58 AUC and CCI was 0.56 AUC. ConclusionsOur analysis shows that ECI is superior to CCI and HFR for predicting 30-day postoperative outcomes following TKA. Surgeons should consider assessing patients using ECI prior to TKA.

Merging socioecological variables to predict risk of Chagas disease

How far are we from predicting the occurrence of zoonotic diseases? In this paper we have made use of both socioecological and ecological variables to predict Chagas disease occurrence. Chagas disease involves, Trypanosoma cruzi, a complex life-cycle parasite which requires two hosts: blood-feeding triatomine insects and vertebrate hosts including humans. We have used a common risk assessment method combined with datasets that imply critical environmental and socioeconomic drivers of Chagas dynamics to predict the occurrence of this disease. We also carried out a network analysis to assess the interactions among triatomines and mammal host species given their human contact via whether hunted, domesticated or associated with anthropogenic landscapes in Mexico. We found that social backwardness variation, lack of health services and altitude had the largest relative influence Chagas events. Triatoma pallidipennis made use of the largest host diversity. Host species shared by the highest number of different triatomines were a woodrat, the highly appreciated bushmeat, and racoon. These results indicate both the predominance of socio-economic factors over ecological ones, and how close we are from predicting zoonotic diseases.

A Qualitative Investigation of Space Exploration Medical Evacuation Risks.

INTRODUCTION: Exploration beyond low Earth orbit requires innovative solutions to support the crew medically, especially as the opportunity for timely evacuation to Earth diminishes. This includes assessing the risks and benefits that a complicated medical evacuation (MEDEVAC) poses to the injured crewmember, the crew, and the mission. This qualitative study identifies common MEDEVAC risk assessment principles used in spaceflight and other extreme environments to better inform future risk assessment tools and exploration mission concepts.METHODS: Semistructured interviews were conducted with subject matter experts in spaceflight and analog domains, including polar operations, undersea operations, combat medicine, and mountaineering. Transcripts were analyzed using the qualitative method of Thematic Analysis with the technique of consensus, co-occurrence, and comparison.RESULTS: Subject matter experts described 18 themes divided into two main categories: Primary Risk Considerations (e.g., crew, mission, resources, time) and Contributing Factors (e.g., psychological considerations, medical preparation, politics).DISCUSSION: Primary Risk Considerations can assess MEDEVAC risk across mission phases, with Contributing Factors acting as premission tools to adjust those risks. Inter- and intracategory connections identified medical support considerations, MEDEVAC support considerations, and philosophy as the most impactful Contributing Factors. Medical support considerations, psychological considerations, and political considerations were found to have unique aspects given the distances and societal impact of exploration vs. low Earth orbit spaceflight. The Contributing Factor theme of decision making was determined to be unique due to its impacts across both categories. These findings expand current considerations and are important inputs for exploration mission MEDEVAC Concepts of Operations.Almand A, Ko SY, Anderson A, Keller RJ, Zero M, Anderson AP, Laws JM, Lehnhardt K, Easter BD. A qualitative investigation of space exploration medical evacuation risks. Aerosp Med Hum Perform. 2023; 94(12):875-886.

Machine learning based assessment of preclinical health questionnaires

BackgroundWithin modern health systems, the possibility of accessing a large amount and a variety of data related to patients' health has increased significantly over the years. The source of this data could be mobile and wearable electronic systems used in everyday life, and specialized medical devices. In this study we aim to investigate the use of modern Machine Learning (ML) techniques for preclinical health assessment based on data collected from questionnaires filled out by patients. MethodTo identify the health conditions of pregnant women, we developed a questionnaire that was distributed in three maternity hospitals in the Mureș County, Romania. In this work we proposed and developed an ML model for pattern detection in common risk assessment based on data extracted from questionnaires. ResultsOut of the 1278 women who answered the questionnaire, 381 smoked before pregnancy and only 216 quit smoking during the period in which they became pregnant. The performance of the model indicates the feasibility of the solution, with an accuracy of 98 % confirmed for the considered case study. ConclusionThe proposed solution offers a simple and efficient way to digitize questionnaire data and to analyze the data through a reduced computational effort, both in terms of memory and computing power used.

Walking on eggshells: The twin transition and Europe’s quest to de-risk from China

In March 2023 European Commission President Ursula von der Leyen presented the term ‘de-risking’ in the context of the EU’s future engagement with China. This article examines how Europe should de-risk from China, scrutinising some of the European policies, actions and challenges behind this term and the newly launched European Economic Security Strategy. The article also examines how the EU should counter Chinese activities and narratives, in third countries as well as in Europe, while increasing its own engagement in countries which are crucial for the EU’s (twin) digital and green transitions. The article concludes that the EU should (1) fully implement its current trade instruments before creating new ones; (2) develop a comprehensive method and clear criteria for a common and holistic risk assessment of China; (3) communicate its goals in a transparent manner, especially to those countries and partners which are needed for the twin transition; and (4) refocus its financial instruments to develop concrete meaningful projects in these key countries, either bilaterally or together with other like-minded countries.

Utilizing proficiency testing survey data to create advanced educational content: the virtual crossmatch challenge model.

Proficiency testing (PT) surveys include data from laboratories across the world and are ideal for creating advanced educational content, beyond just consensus grading. Educational challenges provide a unique opportunity to probe common laboratory practices and risk assessment, especially in cases where there is no "analyte" tested. Human leukocyte antigen (HLA) compatibility evaluation between donor and recipient pairs has been traditionally assessed using T-cell and B-cell physical crossmatches. However, advancements in our ability to identify and characterize HLA antibodies using solid phase assays, in combination with changing deceased donor allocation schemes and improved HLA typing, have shifted the paradigm from performing physical crossmatches to the use of the virtual crossmatch (VXM). VXM is a compatibility assessment relying on the interpretation of pre-transplant HLA laboratory data and as such, it is not an "analyte". However, VXM results are used in clinical decision-making. The VXM assessment depends on patient characteristics as well as laboratory and transplant center practices but must ensure safe transplantation outcomes while maintaining equity in access to transplantation. In this manuscript, we describe the American Society for Histocompatibility and Immunogenetics (ASHI) PT Educational VXM Challenge, as a model for creating educational content using PT survey data. We discuss the different components of the VXM Challenge and highlight major findings and learning points acquired from ASHI VXM Challenges performed between 2018-2022, such as the lack of correlation between the VXM and the physical crossmatch in the presence of low level donor-specific antibodies (DSA), or when the DSA were aimed against donor alleles that are not present on the antibody panel, and in the presence of an antibody to a shared eplet. Finally, we show that the VXM Educational Challenge serves as a valuable tool to highlight the strengths and pitfalls of the VXM assessment and reveals differences in testing and result interpretation among participating HLA laboratories.

Indonesian version of caries management by risk assessment mobile application “SKOR GIGI” in highly educated parents

Background: The Indonesian version of caries management by risk assessment (CAMBRA) is a common caries risk assessment for children aged 0–5 years. During the coronavirus disease 2019 (COVID-19) pandemic, the frequency of dental visits have decreased, making it difficult to assess the caries risk in children. Smartphones and operating systems such as Android are expected to be useful for parents to assess the caries risk of their children. The education level of parents has an impact of its use. The research about the Indonesian version of CAMBRA Android–based application in children aged 0–5 years with highly educated parents has never been done in Indonesia. Purpose: To analyze the accuracy of Android–based application “SKOR GIGI” in assessing the caries risk of children aged 0–5 years by highly educated parents. Methods: This study was conducted in kindergarten, pre-primary school, and Dental Hospital of Faculty of Dentistry Universitas Indonesia with 37 highly educated parents as participants. Participants filled out the informed consent and SKOR GIGI application. Six days later, dentists filled out the Indonesian version of CAMBRA. The results of this study were statistically tested to see the sensitivity, specificity, and the comparison between the variables. Results: The sensitivity test of SKOR GIGI application showed 96.3%, specificity 100%, positive predictive value 100%, and negative predictive value 90.9%. The comparative test with McNemar showed a p-value of 1.000, which means there is no significant difference between the caries risk assessment of children aged 0–5 years using SKOR GIGI application and the Indonesian version of CAMBRA. Conclusion: SKOR GIGI application can be used to assess the caries risk of children aged 0–5 years by highly educated parents.

Analysis of the Environmental Risk of Livestock Manure Pollution and Resource Treatment Technology

Rapid development of the livestock and poultry industry has greatly promoted the rural economic prosperity of China. However, the problems resulting from the livestock manure, such as large emissions, low utilization rate, and environmental pollution are also becoming increasingly serious. Based on the current situation of livestock manure discharge in China, the typical contaminants in livestock manure and their pollution characteristics in soil, water, and air were systematically analyzed in this study. Taking heavy metals and antibiotics as the characteristic pollutants, the common risk assessment methods for livestock manure pollution were described. Moreover, the main harmless disposal and recycling treatment technologies of livestock and poultry manure at home and abroad were compared and analyzed. The application prospect and value of these technologies such as the thermochemical conversion method and the biological method in energization or fertilization were evaluated. Furthermore, the prominent problems in the pollution control of livestock manure are discussed, and the development trends in the resource treatment technology of livestock manure were also prospected.

Indoor Bacterial and Fungal Burden in "Moldy" versus "Non-Moldy" Homes: A Case Study Employing Advanced Sequencing Techniques in a US Metropolitan Area.

The presence of fungi in the indoor environment is associated with allergies and other respiratory symptoms. The aim of this study was to use sequencing and molecular methods, including next-generation sequencing (NGS) approaches, to explore the bacterial and fungal communities and their abundance in the indoor environment of houses (n = 20) with visible "moldy" (HVM) and nonvisible "non-moldy" (HNM) in Memphis, TN, USA. Dust samples were collected from air vents and ground surfaces, and the total DNA was analyzed for bacteria and fungi by amplifying 16S rRNA and ITS genes on the Illumina Miseq. Results indicated that Leptosphaerulina was the most abundant fungal genus present in the air vent and ground samples from HNM and HVM. At the same time, the most abundant bacterial genera in the air vent and ground samples were Propionibacterium and Streptococcus. The fungi community diversity was significantly different in the air vent samples. The abundance of fungal species known to be associated with respiratory diseases in indoor dust samples was similar, regardless of the visibility of fungi in the houses. The existence of fungi associated with respiratory symptoms was compared with several parameters like dust particulate matter (PM), CO2 level, temperature, and humidity. Most of these parameters are either positively or negatively correlated with the existence of fungi associated with respiratory diseases; however, none of these correlations were significant at p = 0.05. Our results indicate that implementing molecular methods for detecting indoor fungi may strengthen common exposure and risk assessment practices.

Are Mental Disorders Associated with Recidivism in Men Convicted of Sexual Offenses?

In offending populations, prevalence rates of mental disorders are much higher than in the general population. Nevertheless, it is unclear whether mental disorders can improve the prediction of recidivism beyond actuarial risk assessment tools. The present prospective-longitudinal study was conducted between 2001 and 2021 and included 1066 men convicted of sexual offenses in Austria. All participants were evaluated with actuarial risk assessment tools for the prediction of sexual and violent recidivism and the Structured Clinical Interview for Axis I and Axis II disorders. Sexual and violent reconvictions were assessed. Exhibitionism and an exclusive pedophilia showed the strongest correlations with sexual recidivism in the total sample. In the child related offense subsample additionally a narcissistic personality disorder was correlated with sexual recidivism. The strongest correlation with violent recidivism was found for an antisocial and borderline personality disorder. None of the mental disorders could improve the prediction of recidivism beyond actuarial risk assessment tools. Common current actuarial risk assessment tools revealed good predictive accuracy in men convicted of sexual offenses. With few exceptions mental disorders were only weakly associated with recidivism, suggesting that there is no direct link between mental disorders and violent and sexual reoffending. Mental disorders should nevertheless be considered in treatment issues.

Improving Recognition of Fracture Risk in People with Human Immunodeficiency Virus: Performance and Model Contribution of Two Common Risk Assessment Tools.

Current guidelines recommend screening people with HIV (PWH) for bone disease using predictive tools developed for the general population, although data on PWH are scarce. In this study, we assessed the performance of FRAX and QFracture scoring systems to predict the occurrence of fragility fractures in a prospective cohort of 17,671 adults with human immunodeficiency virus (HIV) included in the HIV/AIDS research network (CoRIS) in Spain. The survival estimates of fragility fractures during follow-up were calculated and FRAX and QFracture scores were computed at cohort inclusion. For both tools, discriminatory measures and the observed-to-expected (O/E) ratios were assessed. During a follow-up time of 42,411.55 person-years, 113 fragility fractures were recorded. Areas under the curve were 0.66 [95% confidence interval (95% CI) 0.61-0.71] for FRAX and 0.67 (95% CI 0.62-0.73) for QFracture for major osteoporotic fractures, and 0.72 (95% CI 0.57-0.88) and 0.81 (95% CI 0.68-0.95) for hip fracture, respectively. The O/E was 1.67 for FRAX and 5.49 for QFracture for major osteoporotic fractures, and 11.23 for FRAX and 4.87 for QFracture for hip fractures. Moreover, O/E raised as the risk increased for both tools and in almost all age groups. When using the recommended assessment thresholds, <6% and 10% of major osteoporotic and hip fractures would have been identified, respectively. In conclusion, FRAX and QFracture displayed acceptable discrimination, although both tools significantly underestimated the risk of fragility fractures in PWH. The recommended assessment thresholds may not be appropriate for this population as they were unable to identify individuals with fragility fractures during follow-up.

Human tibial cortical bone with high porosity in type 2 diabetes mellitus is accompanied by distinctive bone material properties.

Diabetes mellitus is a metabolic disease affecting bone tissue at different length-scales. Higher fracture risk in diabetic patients is difficult to detect with common clinical fracture risk assessment due to normal or high bone mineral density in diabetic patients. The observed higher fracture risk despite normal to high areal bone mineral density in diabetic patients points towards impaired bone material quality. Here, we analyze tibial bone from individuals with type 2 diabetes mellitus using a multiscale-approach, which includes clinical and laboratory-based bone quality measures. Tibial cortical bone tissue from individuals with type 2 diabetes mellitus (T2DM) and age-matched healthy controls (n=15 each) was analyzed with in situ impact indentation, dual energy X-ray absorptiometry (DXA), high resolution peripheral microcomputed tomography (HR-pQCT), micro-computed tomography (microCT), cyclic indentation, quantitative backscattered electron microscopy (qBEI), vibrational spectroscopy (Raman), nanoindentation, and fluorescence spectroscopy. With this approach, a high cortical porosity subgroup of individuals with T2DM was discriminated from two study groups: individuals with T2DM and individuals without T2DM, while both groups were associated with similar cortical porosity quantified by means of microCT. The high porosity T2DM group, but not the T2DM group, showed compromised bone quality expressed by altered cyclic indentation properties (transversal direction) in combination with a higher carbonate-to-amide I ratio in endocortical bone. In addition, in the T2DM group with high cortical porosity group, greater cortical pore diameter was identified with HR-pQCT and lower tissue mineral density using microCT, both compared to T2DM group. Micromechanical analyses of cross-sectioned osteons (longitudinal direction) with cyclic indentation, qBEI, and nanoindentation showed no differences between the three groups. High tibial cortical porosity in T2DM can be linked to locally altered bone material composition. As the tibia is an accessible skeletal site for fracture risk assessment in the clinics (CT, indentation), our findings may contribute to further understanding the site-specific structural and compositional factors forming the basis of bone quality in diabetes mellitus. Refined diagnostic strategies are needed for a comprehensive fracture risk assessment in diabetic bone disease.

Investigation and Analysis of Pesticide Residues in Four Common Vegetables and Risk Assessment of Dietary Exposure in Ceramic Capital, China.

In order to understand the basic situation of pesticide residues in vegetables in China’s porcelain capital, four kinds of common vegetables on the market were selected in this study for detection and analysis of pesticide residues. The pesticide residues in vegetables were analyzed through sample selection, optimization of instrument and equipment conditions, and comparison of detection pass rates. The sampling locations were common vegetables purchasing places such as large and medium-sized supermarkets. QuEChERS method was used as the sample pretreatment, and gas chromatography (GC-MS/MS) was used for quantitative analysis. Finally, the exposure risk of pesticides was assessed according to the test results. The results showed that all the pesticides were detected in four kinds of vegetables, but the detected pesticides did not exceed the national standard (GB 2763-2014, China). Moreover, the target risk coefficient (THQ) and risk index (HI) values of four vegetables were less than one, indicating that the combined and toxic effect of pesticide residual mixed contamination was smaller in four vegetables. Therefore, there was no significant harm from people using these vegetables.

An integrated risk assessment methodology based on fuzzy TOPSIS and cloud inference for urban polyethylene gas pipelines

Due to the superior performance of polyethylene (PE) gas pipes, an increasing number of PE pipelines are being used in urban areas. However, PE gas pipelines are basically located in densely populated areas with high consequences. Once a leak occurs, combustion and explosion accidents can easily happen causing a major threat to human life and property. Furthermore, the assessment results of the common risk assessment methods often have great uncertainty and deviation. It is difficult to accurately identify the main indicators that need priority management. To address these problems, this paper proposes a novel methodology by integrating a fuzzy TOPSIS model and cloud inference for conducting risk assessments of urban PE gas pipelines. The developed methodology is composed of two branches. In the first branch, a rapid risk assessment model for PE pipelines is established to determine whether there are some special emergency situations, which can be directly identified as high risk. In the second branch, a detailed risk assessment process is adopted to obtain the final result, which mainly includes risk factor analysis, risk status assessment and risk classification. Among them, risk factor analysis is used to establish a risk index system and develop a risk index management strategy by means of mathematical statistics and the fuzzy TOPSIS analysis method. The risk status assessment is used to determine the final risk value based on the virtual cloud and fault tree analysis, which is mainly realized by the triangular fuzzy number, structural entropy weight method and backward cloud transformation algorithm. Finally, the risk assessment results of PE gas pipelines are clearly presented in the form of cloud inference, and the final risk classification is determined. The case study shows that the pipeline in this section is at the medium risk level, and the management of time-related indicators and third-party damage is given priority. The result is consistent with the actual situation, which verifies the effectiveness and practicability of the methodology.

Investigating Six Common Pesticides Residues and Dietary Risk Assessment of Romanian Wine Varieties.

The food and environmental safety debate extends to the use of pesticides in agriculture including the wine sector, which is one of the most intensive pesticide users across the agricultural sector. Pesticide utilisation is a common agricultural practice to protect fruits and plants from pathogens and insects while maintaining high production levels. Grapevine is generally a crop that is subject to intensive phytosanitary treatments, and therefore, it can be assumed that pesticide residues will accumulate in the vine-shoots and, later on, end up in the grapes and wines. The aim of this study was to determine the pesticide content in red, rosé, and white wines after phytosanitary treatments applied in the vineyard and their impact on long-term dietary risks. The following six pesticides were analysed: oxathiapiprolin, myclobutanil, iprovalicarb, tebuconazole, chlorantraniliprole, and acetamiprid. Samples were extracted using the QuEChERS (quick, easy, cheap, effective, rugged, and safe) method and analysed for the residues of pesticides by liquid chromatography-tandem mass spectrometry. Results indicated that the observed pesticides in the wine samples ranged between 0.05 and 0.75 ng/g. Dietary risks due to pesticide residues for women and men were evaluated using the estimated daily intake (EDI), hazard quotient (HQ), and hazard index (HI) of wines. The HQs and HIs did not surpass the 1 value (HQ, HI < 1) for both women and men, denoting that the concentrations of pesticide residues in these wine samples do not pose any immediate risk to consumers. Moreover, a pesticide residue intake model (PRIMo) model analysis was conducted, and the results suggest that European adult consumers have a low pesticide residue intake due to moderate wine consumption. However, pesticide residue intakes have been associated with several human health problems and high toxicity levels, therefore reliable analytical methods to monitor their presence in horticultural crops is crucial for clean and safe food products and healthy consumers.

Evaluation of Various Risk Factors Caused by Mechanized Equipment Used in Forest Operations

Forestry is among the dangerous work classes due to its working conditions. Especially fatal accidents that may occur during forest operations take an important place in this regard. In addition to occupational accidents, there are various risks such as physical, chemical, biological, ergonomic. These risks are often ignored and can cause serious health problems in long periods. Considering the previous studies on this subject, the main risk factors can be classified as noise, particulate matter and gas. The noise caused by motor movements and particulate matter exposure caused by wood raw material or machine-ground interaction are important conditions. The release of waste gases to the environment during operations are often encountered. The main gases polluting the air include carbon monoxide (CO), sulfur oxides, hydrocarbons and nitrogen oxides. CO is very dangerous because of its rapid mixing with the blood. In this study, a synthesis of previous studies in machine-based risk factors during forest operations was provided and Fine Kinney Method, as one of the most common risk assessment methods used in the subject, were presented. This review paper providing a synthesis of previous studies in machine-based risk factors pointed out the working conditions of forest workers, importance of personal protective equipment and how to use risk assessment methods in the purpose of occupational health and safety.

Prospective assessment of aneurysmal rupture risk scores in patients with subarachnoid hemorrhage: a multicentric cohort.

The natural evolution of unruptured intracranial aneurysms (UIA) is indeed difficult to predict at the individual level. In a large prospective multicentric European cohort, we aimed to evaluate whether the PHASES, UCAS, and ELPASS scores in patients with aneurysmal subarachnoid hemorrhage would have predicted a high risk of aneurysmal rupture or growth. Academic centers treating patients with intracranial aneurysms were invited to prospectively collect de-identified data from all patients admitted at their institution for a subarachnoid hemorrhage-related to intracranial aneurysmal rupture between January 1 and March 31, 2021 through a trainee-led research collaborative network. Each responding center was provided with an electronic case record form (CRF) which collected all the elements of the PHASES, ELAPSS, and UCAS scores. A total of 319 patients with aneurysmal subarachnoid hemorrhage were included at 17 centers during a 3-month period. One hundred eighty-three aneurysms (57%) were less than 7mm. The majority of aneurysms were located on the anterior communicating artery (n = 131, 41%). One hundred eighty-four patients (57%), 103 patients (32%), and 58 (18%) were classified as having a low risk of rupture or growth, according to the PHASES, UCAS, and ELAPSS scores, respectively. In a prospective study of European patients with aneurysmal subarachnoid hemorrhage, we showed that 3 common risk-assessment tools designed for patients with unruptured intracranial aneurysms would have not identified most patients to be at high or intermediate risk for rupture, questioning their use for decision-making in the setting of unruptured aneurysms.

Failure Mode and Effects Analysis on the Hydraulic System of Aircraft Ilyushin-76

The emergence of accidents in industrial and aerospace environments has increased with the increase of activities in this field and the use of machinery. In traditional systems, after accidents and irreparable damage occur, research is done to investigate the defects and their causes. But today, due to the existence of different methods of hazard identification and risk assessment, before the occurrence of accidents, it is possible to identify accident hotspots and critical areas and to prevent and control them. Reviewing the analysis of failure modes and their effects (FMEA) is one of the industry's common risk assessment methods. Its purpose is to analyze the failure to obtain a comprehensive repair program that leads to the continuation of the operation of physical assets. In this study, with the help of the FMEA method, the risk priority number of the Ilyushin-76 aircraft hydraulic system was calculated, and its critical parts were identified. Due to the shortcomings of the usual risk priority number in the FMEA method, side methods of aggregation of ideas and Schaefer evidence theory were used to calculate the risk priority number. Using these methods, involving probabilities in the expression of opinion, the results of determining critical components became closer to reality. From the results obtained from the study and evaluation of critical components by the two usual RPN methods and Schaefer evidence theory, nine highly critical components are obtained jointly.

A systematic review of human-AI interaction in autonomous ship systems

Automation is increasing in shipping. Advancements in Artificial Intelligence (AI) applications like collision avoidance and computer vision have the potential to augment or take over the roles of ship navigators. However, implementation of AI technologies may also jeopardize safety if done in a way that reduces human control. In this systematic review, we included 42 studies about human supervision and control of autonomous ships. We addressed three research questions (a) how is human control currently being adopted in autonomous ship systems? (b) what methods, approaches, and theories are being used to address safety concerns and design challenges? and (c) what research gaps, regulatory obstacles, and technical shortcomings represent the most significant barriers to their implementation? We found that (1) human operators have an active role in ensuring autonomous ship safety above and beyond a backup role, (2) System-Theoretic Process Analysis and Bayesian Networks are the most common risk assessment tools in risk-based design, and (3) the new role of shore control center operators will require new competencies and training. The field of autonomous ship research is growing quickly. New risks are emerging from increasing interaction with AI systems in safety–critical systems, underscoring new research questions. Effective human-AI interaction design is predicated on increased cross-disciplinary efforts, requiring reconciling productivity with safety (resilience), technical limitations with human abilities and expectations (interaction design), and machine task autonomy with human supervisory control (safety management).