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Disruptive passenger behaviour (DPB) incidents spiked during the COVID-19 pandemic period, compromising the safety of commercial flights on a daily basis. This qualitative semi-structured interview study examined the perceived triggering factors and motivations for DPB and the subsequent impact of DPB upon cabin crew well-being and safety. Twenty-four European cabin crew disclosed experiences, subjective observations of perpetrator traits, assessment of DPB development and information regarding their well-being and perceived safety. Thematic analysis revealed that the perceived frequency of DPB had increased, driven by an accumulation of pandemic-related factors – such as enforcing mask wearing amongst intoxicated passengers. DPB was found to decrease resilience and spur maladaptive coping strategies in crew. Suggested enhancements to current DPB mitigation consisted of stricter punishment for DPB as a deterrent, alcohol bans and higher quality training. These findings can inform decision-makers’ efforts to support cabin crew well-being and create safer cabin workplaces in the future. [ABSTRACT FROM AUTHOR]

Introduction Vection is a stationary individual's illusory experience of self-motion. This illusory self-motion is operationally important for aviation, particularly military aviation, since vection is a dramatic example of spatial disorientation (SD), which is an individual's failure to correctly sense the aircraft's position, motion, and/or attitude with respect to the fixed coordinate system of the Earth's surface and its gravitational vertical. Notably, SD is a major cause of fatal aviation mishaps, and the visual system is particularly prone to provoking vection. This article describes the Virtual Reality Vection System (VRVS), which uses computer-controlled virtual reality technology to induce vection under controlled conditions for training, demonstration, testing, and research. Materials and Methods The VRVS enables the precise specification of the number and appearance of visual stimulus elements intended to generate vection, including photorealistic images. The VRVS can present visual stimuli on any OpenXR-capable virtual reality headset. The VRVS currently records 2 types of behavioral responses, button presses to indicate the presence and duration of vection and the voltage of a handheld linear potentiometer to indicate the presence, duration, and magnitude of vection. Results An approved test plan helped guide, organize, document, and validate the VRVS during its development. Under this plan, a pair of tests guided hardware and software development of the VRVS system. Although the first test verified the ability of the VRVS to generate and measure vection, it also demonstrated that the VRVS can quickly manipulate the visual stimuli from one trial to the next so that the VRVS can support complex experimental designs. The second test used these capabilities to verify that the VRVS can characterize vection in a more analytic fashion using a masking paradigm. Specifically, the test assessed whether random stimulus elements injected into the vection-inducing stimulus disrupted vection in a quantifiable fashion. This work opens the door to studies that characterize the necessary and sufficient visual elements for vection-based SD. Discussion The VRVS is currently used to research, develop, test, and evaluate mitigation strategies targeting vection-related SD in degraded visual environments. Similarly, the VRVS is supporting research to develop methods to predict individual differences in visually induced motion sickness susceptibilities. The VRVS is currently being integrated with a precision motor-controlled rotating Barany chair for multisensory studies. It should be noted that since the VRVS was developed to support United States Army Aeromedical Research Laboratory projects, it is an Army product representing government intellectual property and may be freely available to other government institutions. [ABSTRACT FROM AUTHOR]

Introduction We evaluated the risk factors associated with gastrointestinal disorders (GD) among the soldiers of the Army and Marine Aviation community (AMAC) using an exposomic approach. Specifically, we aimed to determine the medical and operational factors associated with reported GD in the Military Health System. Methods Longitudinal data were obtained from the Medical Assessment and Readiness System (MARS) housed at Womack Army Medical Center, Fort Liberty, NC, for a retrospective cohort study that included 79,249 active duty United States AMAC active duty service members (ADSMs) from October 2015 to December 2019. Multivariable mixed-effects logistic regression was used to assess the relationship between the incidence occurrence of GD and variables including rank, service time, deployment, Armed Forces Qualification Test score, education, tobacco use, alcohol use, age, gender, race, ethnicity, body mass index (BMI), and marital status. Results The incidence of GD included 22,813 person-years of observations with a rate of 2.2 per 100 person-years and a period prevalence of 3.2%. GD was independently associated with rank, service time, and deployment (all P  < 0.05). Conclusion The high-risk categories associated with GD in the AMAC included age, BMI, race (not ethnicity), marital status, and service time. Our data also show that deployment time, not geographical location, was associated with a higher risk of GD. Together, these analyses suggest that White ADSMs older than 33 years of age who have experienced marriage, longer service time, and deployments appear to have a higher risk of GDs. Our assessment shows the utility of using an exposomic approach to create a member-specific, big data-informed personalized clinical algorithm of health outcomes. [ABSTRACT FROM AUTHOR]

Cardiologists will commonly assess patients who hold an aviation medical certificate and require unique assessments and communications with national civil aviation authorities (in Australia, the Civil Aviation Safety Authority [CASA] and in New Zealand, the Civil Aviation Authority of New Zealand [CAA NZ]). Cardiac conditions are the most common reason for disqualification from holding an aviation licence, and coronary artery disease is considered a high-risk condition for pilot incapacitation. To provide a contemporary update on the aeromedical approach to the evaluation, detection, and management of coronary artery disease in an Australasian context. A narrative view of current and historical practice in the area of aeromedical evaluation of coronary disease was undertaken. This review highlights the aeromedical approach to risk stratification and specific challenges of the aviation environment for patients with coronary artery disease. Scenarios of coronary artery disease screening, common and rare acute coronary syndromes, and the assessment of established coronary artery disease are examined in detail. Suggestions to facilitate communications between specialists and CASA or CAA NZ to facilitate patient re-certification are also provided. Patients who are pilots have unique requirements in terms of their coronary assessment, management, and follow-up to maintain eligibility to fly. It is important for cardiologists to be aware of relevant occupational requirements to provide optimal care to their patients. [ABSTRACT FROM AUTHOR]

Human emissions must reach zero by 2050 to avoid dangerous climate change. Most sectors have achieved a downward path for their greenhouse gas emissions, but tourism's emissions have continued to grow. We explore scenarios to reduce global tourism emissions and find only a narrow pathway to zero emissions tourism that could lead to net zero by 2050 while not severely damaging the tourism economy. Our study uses a system dynamics model. We describe the business-as-usual scenario, including its consequences for emissions and for tourism's share of the remaining global carbon budgets if the world is to limit global temperature rise to 1.5 or 2 °C. We explore 45 possible policy approaches, like taxes and subsidies, infrastructure investments, off-sets, technology, behavioural changes, and sustainable aviation fuels. Key measures appear to be a mandate for e-fuel mixing up to 100% by 2050, and a multi-trillion USD investment in hydrogen-powered electric aircraft and high-speed rail infrastructure. We find that a limited renewable energy supply will constrain the growth of aviation if it is to be zero emissions in 2050. A risk-analysis explores the robustness of the policies. Finally, we discuss the consequences of the zero emissions tourism (ZET) scenario we propose. [ABSTRACT FROM AUTHOR]

There is a growing risk to aircraft in flight from collisions with debris produced by the breakup of uncontrolled rocket bodies and satellites during atmospheric reentry. On one hand, the aviation industry has grown to almost 39 million flights per year, with a 63 % increase between 2004 and 2019. On the other hand, the number of successful rocket launches more than doubled between 2015 and 2023, from 87 to 212, respectively. During those 212 launches in 2023, 128 rocket bodies were abandoned in orbit, left to reenter uncontrollably. Such uncontrolled space object reentries are hard to predict, making mitigation measures difficult. In November 2022, a reentering Long March 5B rocket caused the closure of airspace over Europe, delaying 645 flights and having a plausible economic impact of millions of Euros. There are international and domestic laws that might enable the recovery of economic losses resulting from uncontrolled reentries, but such losses should not be allowed to occur in the first place. Instead of leaving the location of a reentry to chance, controlled reentries can be achieved with existing technologies and mission designs, directing reentries away from areas of high aircraft traffic. Moving to a controlled reentry regime would create a cost to space operators – but that cost is currently being externalized to the aviation industry. Multilateral solutions to create a controlled reentry regime should be pursued, as recommended in the 2023 Montreal Recommendations on Aviation Safety and Uncontrolled Space Object Reentries, before there is a tragedy caused by an aircraft collision with debris from a rocket body or satellite. • As the number of rocket launches and commercial aircraft flights increase, the probability of a catastrophic collision between an aircraft and reentering space debris is also growing. • Technologies and mission designs exist to enable all rocket bodies to be returned to Earth in a controlled manner, eliminating the casualty risk. • From a broad economic perspective, space companies are externalizing some of their risks and costs and imposing them on the aviation industry. • States are liable for damage caused by reentering space objects and could be liable for the economic costs caused by precautionary airspace closures. • The 2023 Montreal Recommendations offer actionable steps to reduce the risk of collisions between space debris and aircraft. [ABSTRACT FROM AUTHOR]

Eccentric upper‐body exercise performed 24 h prior to high‐altitude decompression has previously been shown to aggravate venous gas emboli (VGE) load. Yet, it is unclear whether increasing the muscle mass recruited (i.e., upper vs. whole‐body) during eccentric exercise would exacerbate the decompression strain. Accordingly, this study aimed to investigate whether the total muscle mass recruited during eccentric exercise influences the decompression strain. Eleven male participants were exposed to a simulated altitude of 24,000 ft for 90 min on three separate occasions. Twenty‐four hours before each exposure, participants performed one of the following protocols: (i) eccentric whole‐body exercise (ECCw; squats and arm‐cycling exercise), (ii) eccentric upper‐body exercise (ECCu; arm‐cycling), or (iii) no exercise (control). Delayed onset muscle soreness (DOMS) and isometric strength were evaluated before and after each exercise intervention. VGE load was evaluated at rest and after knee‐ and arm‐flex provocations using the 6‐graded Eftedal–Brubakk scale. Knee extensor (−20 ± 14%, P = 0.001) but not elbow flexor (−12 ± 18%, P = 0.152) isometric strength was reduced 24 h after ECCw. ECCu reduced elbow flexor isometric strength at 24 h post‐exercise (−18 ± 10%, P < 0.001). Elbow flexor DOMS was higher in the ECCu (median 6) compared with ECCw (5, P = 0.035). VGE scores were higher following arm‐flex provocations in the ECCu (median (range), 3 (0–4)) compared with ECCw (2 (0–3), P = 0.039) and control (0 (0–2), P = 0.011), and in ECCw compared with control (P = 0.023). VGE were detected earlier in ECCu (13 ± 20 min) compared with control (60 ± 38 min, P = 0.021), while no differences were noted between ECCw (18 ± 30 min) and control or ECCu. Eccentric exercise increased the decompression strain compared with control. The VGE load varied depending on the body region but not the total muscle mass recruited. Highlights: What is the central question of this study?Does exercise‐induced muscle damage (EIMD) resulting from eccentric exercise influence the presence of venous gas emboli (VGE) during a 90 min continuous exposure at 24,000 ft?What is the main finding and its importance?EIMD led to an earlier manifestation and greater VGE load compared with control. However, the decompression strain was dependent on the body region but not the total muscle mass recruited. [ABSTRACT FROM AUTHOR]

The operating room is the environment where harm to the patient is most likely. Robotic surgery was listed as one of the top 10 health hazards as late as 2020. Taking inspiration from other fields of application, such as aeronautics, checklists have been increasingly implemented in medical practice over the years, becoming essential components of the operating theatre. In addition to checklists, simulation has taken on a fundamental importance in reducing errors. This paper aims to provide a narrative review to assess the importance of checklists and training in robotic surgery and how they improve the outcome. A comprehensive literature search from January 2000 to September 2023 was conducted. A total of 97 articles were included in the initial search. Eleven studies were deemed relevant and were considered eligible for full-text reading. Among these, ten studies focused on the analysis of training effectiveness. An article in our review assessed the benefits of introducing checklists in the operating room. Innovations created in aviation, such as checklists and simulation, have entered the medical field to prevent human error. Developing dedicated checklist and surgical teams, through theoretical and practical training, has become essential in modern medicine. Tools such as checklists, training, and simulation are among the best methods to reduce adverse medical events. [ABSTRACT FROM AUTHOR]

This paper explores the predominantly male-dominated aviation sector and highlights the benefits of increasing female representation. The key objectives are to analyze the gender pay gap, assess the current gender imbalance, and explore how addressing these issues could contribute to the sector's sustainability and operational success. A combined quantitative and qualitative methodology is employed, including scenario-building based on monetary indicators and achievements from other industries where female workforce participation has been enhanced. The results demonstrate that closing the gender pay gap and boosting female participation in air transport operations, in line with supranational recommendations, can lead to significant financial gains and operational improvements. The study concludes that promoting gender equity is not only a social imperative but also a crucial factor for achieving sustainability goals within aviation. [ABSTRACT FROM AUTHOR]

This paper calls for greater attention to air deportation, defined as the multiple ways in which states utilize aviation systems for the purpose of expelling unwanted people under immigration and criminal law. Civil aviation is pivotal to the expulsion of people from the countries of the global North, yet scholars of deportation have rarely addressed questions of aerial mobility. The paper makes two moves to centre aerial and carceral mobilities within the study of deportation. (1) Empirically, and taking the UK for its case material, it brings scholarly attention to one particular practice of air deportation: the phenomenon of charter flights. These are special operations on which there are no regular passengers, just deportees who are out-numbered by Detainee Custody Officers and other authorities. (2) Conceptually, the paper develops three tools from this case to advance the study of carceral circuits and mobilities: custodial chains, affordances and encumbrances. By helping us better understand agonistic power relations, and by offering a contextualized account of change attuned to the interplay of a variety of factors, these concepts can promote a more mobilities-attuned understanding of deportation by plane. They can also help us better understand tension and transformation in carceral mobilities. [ABSTRACT FROM AUTHOR]

Visibility is one of the key meteorological parameters with special importance in aviation meteorology and the transportation industry. Nevertheless, it is not a straightforward task to automatize visibility observations, since the assistance of trained human observers is still inevitable. The current paper attempts to make the first step in the process of automated visibility observations: it examines, by the approaches of artificial intelligence (AI), whether light points in the target area can or cannot be automatically detected for the purposes of night-time visibility observations. From a technical point of view, our approach mimics human visibility observation of the whole circular horizon by the usage of camera imagery. We evaluated the detectability of light points in the camera images (1) based on an AI approach (convolutional neural network, CNN) and (2) based on a traditional approach using simple binary thresholding (BT). The models based on trained CNN achieved remarkably better results in terms of higher values of statistical metrics, and less susceptibility to errors than the BT-based method. Compared to BT, the CNN classification method indicated greater stability since the accuracy of these models grew with increasing pixel size around the key points. This fundamental difference between the approaches was also confirmed through the Mann–Whitney U test. Thus, the presented AI-based determination of key points' detectability in the night with decent accuracy has great potential in the objectivization of everyday routines of professional meteorology. [ABSTRACT FROM AUTHOR]

Objective: To evaluate neck muscle coactivation across different levels of mental workload during simulated flight tasks. Background: Neck pain (NP) is highly prevalent among military aviators. Given the complex nature within the flight environment, mental workload may be a risk factor for NP. This may induce higher levels of neck muscle coactivity, which over time may accelerate fatigue, increase neck discomfort, and affect flight task performance. Method: Three counterbalanced mental workload conditions represented by simulated flight tasks modulated by interstimulus frequency and complexity were investigated using the Modifiable Multitasking Environment (ModME). The primary measure was a neck coactivation index to describe the neuromuscular effort of the neck muscles as a system. Additional measures included perceived workload (NASA TLX), subjective discomfort, and task performance. Participants (n = 60; 30M, 30F) performed three test conditions over 1 hr each while seated in a simulated seating environment. Results: Neck coactivation indices (CoA) and subjective neck discomfort corresponded with increasing level of mental workload. Average CoAs for low, medium, and high workloads were:.0278(SD =.0232),.0286(SD =.0231), and.0295(SD =.0228), respectively. NASA TLX mental, temporal, effort, and overall scores also increased with the level of mental workload assigned. For ModME task performance, the overall performance score, monitoring accuracy, and resource management accuracy decreased while reaction times increased with the increasing level of mental workload. Communication accuracy was lowest with the low mental workload but had higher reaction times relative to increasing workload. Conclusion: Mental workload affects neck muscle coactivation during combinations of simulated flight tasks within a simulated helicopter seating environment. Application: The results of this study provide insights into the physical response to mental workload. With increasing multisensory modalities within the work environment, these insights may assist the consideration of physical effects from cognitive factors. [ABSTRACT FROM AUTHOR]

Beginning in 1968, a surge in plane hijackings, particularly from the United States, prompted a focus on security measures to combat this trend. Initially, deterrence strategies implemented through laws and adopted from international conventions proved ineffective. This article traces the evolution from selective passenger profiling to a 1972 U.S. security order to screen all passengers, triggered by the emergence of politically motivated hijackings and ransom demands, which changed the experience and nature of flight worldwide. It examines stakeholders' perspectives, with pilots advocating for extensive profiling and screening, while airlines and airport operators favoured legal treatises, likely due to the lower financial burden of enforcement. This article examines the historical social and political context within which terrorism and counter-terrorism in the realm of air travel unfold. [ABSTRACT FROM AUTHOR]

In this work, we explored the feasibility of using a transformer-based time-series forecasting architecture, known as the Temporal Fusion Transformer (TFT), for anomaly detection using threaded track data from the MITRE Corporation's Transportation Data Platform (TDP) and digital flight data. The TFT architecture has the flexibility to include both time-varying multivariate data and categorical data from multimodal data sources and conduct single-output or multi-output predictions. For anomaly detection, rather than training a TFT model to predict the outcomes of specific aviation safety events, we train a TFT model to learn nominal behavior. Any significant deviation of the TFT model's future horizon forecast for the output flight parameters of interest from the observed time-series data is considered an anomaly when conducting evaluations. For proof-of-concept demonstrations, we used an unstable approach (UA) as the anomaly event. This type of anomaly detection approach with nominal behavior learning can be used to develop flight analytics to identify emerging safety hazards in historical flight data and has the potential to be used as an on-board early warning system to assist pilots during flight. [ABSTRACT FROM AUTHOR]

The integration of artificial intelligence of things (AIoT) is transforming aviation health monitoring systems by combining extensive data collection with advanced analytical capabilities. This study proposes a framework that enhances predictive accuracy, operational efficiency, and safety while optimizing maintenance strategies and reducing costs. Utilizing a three-tiered cloud architecture, the AIoT system enables real-time data acquisition from sensors embedded in aircraft systems, followed by machine learning algorithms to analyze and interpret the data for proactive decision-making. This research examines the evolution from traditional to AIoT-enhanced monitoring, presenting a comprehensive architecture integrated with satellite communication and 6G technology. The mathematical models quantifying the benefits of increased diagnostic depth through AIoT, covering aspects such as predictive accuracy, cost savings, and safety improvements are introduced in this paper. The findings emphasize the strategic importance of investing in AIoT technologies to balance cost, safety, and efficiency in aviation maintenance and operations, marking a paradigm shift from traditional health monitoring to proactive health management in aviation. [ABSTRACT FROM AUTHOR]

The background of this research is environmental sustainability assessments in the aviation ecosystem, particularly concerning airports, which are getting significant attention from industry representatives, regulators, and researchers. A standardized and comprehensive approach is essential to uniformly address the global impact of these assessments across the industry. The main objective of this study is to propose a framework that encompasses the requirements of aviation regulators, as well as industry and academic metrics, aiming for a standardized approach to environmental sustainability assessments at airports. The methodology employs the Sum of Rankings Method to rank each airport across various environmental indicators. This approach was applied to five globally distributed airports, offering a diverse testing ground for assessing the applicability and effectiveness of the proposed metrics and validating the ranking framework. The results show that applying the framework across varied airport environments demonstrated its ranking viability and effectiveness, indicating that it can be successfully applied to different airport realities. The conclusion shows that the developed framework can be successfully applied, suggesting that it is a valid method for adoption in environmental airport sustainability rankings. [ABSTRACT FROM AUTHOR]

This study focuses on the dynamics of the profit margin within the aviation MRO industry, using operational data from a small and medium-sized enterprise (SME) MRO company between 2013 and 2021. Especially in SME MROs, profit margin analysis provides an advantage in competing with the large companies that dominate the industry. Therefore, the operational data were prepared for analysis to identify the variables related to the profit margin. This study's data cleaning and transformation processes can serve as a guideline for similarly sized companies. The research aims to address the complex relationships among the factors influencing profit margins in this industry. The objective is to utilise these factors in making strategic decisions to increase the profit margin of an SME MRO company. Applying gradient boosting algorithms as the analytical framework should allow identifying the correct relationships between the profit margin and input variables according to time for the SME MRO company. Another important aspect of this study is to increase the accuracy of the gradient boosting model by utilising the interactive grouping methodology. The variable selection was performed by using the Gini indexes of the variables using interactive grouping as a criterion in selecting the variables to be included in the model. After the data cleaning, transformation, and selection, the input variables for the gradient boosting model were Part Description, Parts Billed Current (part cost), Labour Billed Current (labour cost), Diff Shipping Entry (turnaround time (TAT)), Diff Quote Entry (time to quotation (TTQ)), Manager, Department, and Status. In this study, the profitability model indicates that the SME MRO company should initially focus on part numbers and the departments, secondly on standardisation of and expertise in preferred workshop units, and lastly, on highly qualified and effective technical department leaders and increasing labour. The aviation industry emerges as a sector that requires such analytical studies. It is hoped that the study will serve as a foundational work for SME MRO companies in the aviation industry. [ABSTRACT FROM AUTHOR]

Introduction: COVID-19 has demonstrated the importance of competent staff with expertise in public health emergency preparedness and response in the civil aviation system. The civil aviation system is a critical sentinel and checkpoint to prevent imported cases and slow the spread of communicable diseases. Understanding the current competencies of staff to deal with public health emergencies will help government agencies develop targeted training and evidence-based policies to improve their public health preparedness and response capabilities. Methods: This cross-sectional pilot study was conducted from November 2022 to October 2023, involving 118 staff members from various positions within China's civil aviation system. A 59-item questionnaire was translated and developed according to a competency profile. Data were collected using the self-report questionnaire to measure the workforce's self-perceptions of knowledge and skills associated with public health emergency proficiency, categorized into (1) general competency, (2) preparedness competency, (3) response competency, and (4) recovery competency. KMO & Bartlett test and Cronbach's α reliability analysis were used to test the reliability and validity of the questionnaire. Descriptive statistics, independent sample T-test, ANOVA, and linear regression models were performed to analyze the competencies. Results: A total of 107 staff members from the aviation system were surveyed in this study. The KMO & Bartlett test, (KMO = 0.919, P < 0.001) and Cronbach's α coefficients (α = 0.985) for this questionnaire were acceptable. The results suggested that respondents scored a mean of 6.48 out of 9 for the single question. However, the staff needed to acquire more knowledge in investigating epidemic information (5.92) and case managing (5.91) in the response stage. Overall, males scored higher (409.05 ± 81.39) than females (367.99 ± 84.97), with scores in the medical department (445.67 ± 72.01) higher than management (387.00 ± 70.87) and general department (362.32 ± 86.93). Additionally, those with completely subjective evaluation (425.79 ± 88.10) scored higher than the general group (374.39 ± 79.91). To predict the total score, female medical workers were more likely to have lower scores (β = -34.5, P = 0.041). Compared with those in the medical department, the management workers (β = -65.54, P = 0.008) and general workers (β = -78.06, P < 0.001) were associated with a lower total score. Conclusions: There was still a gap between the public health emergency competencies of the civil aviation system and the demand. Staff in China's civil aviation systems demonstrated overall competence in public health emergency preparedness and response. However, there was a need to enhance the accumulation of practical experience. Implementing effective training programs for public health emergencies was recommended to mitigate knowledge gaps. Meanwhile, regular training evaluations were also recommended to give comprehensive feedback on the value of the training programs. [ABSTRACT FROM AUTHOR]

AbstractWhile states have accelerated the energy transition in some sectors, they have also obstructed fossil phase-out in other sectors. Aviation has an outsized and rapidly growing climate impact, and associated policy decisions have perpetuated fossil fuel use. Since aviation is dependent on high energy density that only fossil fuels can (currently) provide, the industry faces fundamental constraints to green its capital. Yet, the industry does not operate in isolation. In this paper, we show how the state performs a variety of roles that benefit from and support aviation, creating conflicts with the state’s climate targets. We analyze state–industry relations as they relate to the emergence of air transport and its ongoing carbon-dependent formulations. Combining a relational account of the state and the method of critical problem-solving, we characterize the roles of the state vis-à-vis the industry as owner, sponsor and customer and point to strategies of how the associated capacities can be leveraged to drive fossil phase-out in aviation. Since a rapid and comprehensive phase-out of fossil fuels is required for climate stabilization, we argue that political economists can make important contributions by focusing on the socio-material relations that constrain state agency to phase-out fossil fuels in specific sectors. [ABSTRACT FROM AUTHOR]

Because of its distinct function and geographic conditions, the impact of climate change on the operation, safety, and income of airports in coastal areas is becoming increasingly significant. The measurement of climate resilience can help identify priority needs and measures to adapt to climate change, which is a crucial step in developing an aviation adaptation plan. At present, the concept of climate resilience is relatively complex and lacks a clear uniformity of composition, which has made it challenging to effectively support the development of adaptation strategies. Based on the definition of climate resilience, our first step was to construct an evaluation system for coastal airports to visually represent the level of climate resilience. Next, in this study, we introduced a coupling coordination and obstacle degree model to analyze the coordinated development and key drivers of climate resilience, which could be used to develop a targeted improvement strategy based on the calculation results. In the future, additional measures can be combined from the natural environment, socioeconomics, governance capacity, and climate change risk to enhance the capacity development of the aviation industry to address climate change and foster the establishment of a sustainable development model between the industry and the environment. [ABSTRACT FROM AUTHOR]

In the aftermath of the Germanwings crash in 2015, several regulations have been instituted around pilots' mental health issues and flight safety. One of these (CAT.GEN.MPA.215) stipulates that European operators are to implement a Peer Support Program to encourage pilots' self-referral of mental health issues and identify mental wellbeing issues as early as possible. However, knowledge is scarce regarding how effective these programs are on a range of outcomes. This systematic review aimed to identify articles investigating peer support programs and their effectiveness in preventing and detecting mental health issues, in commercial aviation and other high-risk organizations. A systematic search was performed in three databases, following the structure of the PRISMA guidelines. All articles (2.123) were exported to Rayyan Citation, where the screening process was performed. Four articles met the final inclusion criteria. Overall, the search revealed little empirical evidence of the effectiveness of peer support in detecting and preventing mental health. Although there is limited or no evidence in any direction, the peer support programs seem to be without evident harm and were generally appreciated. The insufficient empirical evidence is nonetheless concerning, with these programs being implemented throughout Europe in such a high-risk context as the aviation industry. The results highlight the importance of more research on peer support in aviation. [ABSTRACT FROM AUTHOR]

Aviation lubricating oil, as the “blood of machine operation”, plays an important role in the lubrication, cooling, cleaning, sealing, rust prevention, and other aspects of aero‐engines, thereby ensuring the safe and stable long‐term endurance of aero‐engines under high‐speed and high‐temperature conditions. The thermal oxidation of aviation lubricating oil leading to decay is the most important factor causing lubricating oil failure, which will seriously affect the performance of aero‐engines and endanger flight safety. Here, we comprehensively summarize the oxidation mechanism of aviation lubricating oil, factors affecting thermal oxidation of aviation lubricating oil, evaluation methods for thermal oxidation of aviation lubricating oil, and antioxidants that inhibit thermal oxidation of aviation lubricating oil. We hope that this review can enhance readers' understanding of the thermal oxidation of aviation lubricating oil, stimulate broader interest, and promote more exciting development in this promising field. [ABSTRACT FROM AUTHOR]

Artificial Intelligence (AI) has transformed the way human-computer interaction (HCI) teams are able to collaborate and coordinate in various domains, including aviation. AI's transformative capabilities can enhance teamwork, efficiency, and safety, particularly in risk management. AI's ability to process vast amounts of data and provide real-time insights enables informed decision-making and automation of repetitive tasks in aviation. By combining the strengths of AI and humans, outlined in our modified version of the 'HABA-MABA' framework, a dynamic teamwork relationship emerges, provided roles are successfully allocated. AI systems are able to act as intelligent assistants, offering timely recommendations, fostering effective communication, and facilitating coordination among crew members. Its adaptability and capacity for learning improve collaboration abilities, tailoring strategies to meet the team's specific needs. This paper explores the theories, considerations, and implications of human-AI teams in aviation, highlighting potential benefits, training recommendations, and future research directions. While human-AI teams offer numerous benefits, addressing the risks, limitations, and ethical considerations is crucial to ensuring safe and efficient operations. Future research must prioritize transparency, explainability, adaptability, and real-world testing to unlock the full potential of human-AI teams and foster successful integration across diverse domains. [ABSTRACT FROM AUTHOR]

Diversity, equity, and inclusion (DEI) stands as an integral component of any successful organization. Historically, society has overlooked and underplayed DEI matters, resulting in the underrepresentation of minority groups, including women and people of color. In the past decade, underrepresentation of women and other minority groups in aviation workforce has received attention and raised concerns among industry stakeholders. To gain insight into the status of women in aviation, the authors analyzed the participation of females in aviation professions between 2016 and 2021. Data used in this study were retrieved from the 2023 U.S. Civil Airmen Statistics published by the Federal Aviation Administration (FAA). Descriptive and inferential statistical methods, including one-way analysis of variance (ANOVA), are used to analyze the trends and features of pilots and instructors holding different types of airmen certificates. The analysis delves into temporal, geographic, and age distributions. The temporal distributions reveal that the number and percentage of women in aviation professions have not significantly changed. From 2007 to 2021, female airline transport pilots (ATPs) marginally increased from 3.7% to 4.7%. Notably, there are statistically significant differences across the eight FAA regions, with the Alaskan region having the highest percentage of female pilots, instructors, and remote pilots, while the Central and Southwest regions exhibit the lowest percentages. In addition, a significant age-related disparity exists among female pilots, with a decline in female representation as the certification level advances. Given that the underrepresentation of women in aviation professions resulted from a mix of social, educational, organizational, and financial factors, recognition, understanding, embracement, and advocating for DEI issues could ultimately lead to increased equality, and a positive impact on the ongoing workforce shortage in the aviation sector and the long-term sustainability of the aviation industry. [ABSTRACT FROM AUTHOR]

The fifth generation (5G) cellular network roll-out provides high-speed performance, better coverage, and ubiquitous connectivity for the next-generation of intelligent communication systems. Compared to earlier versions, the new 5G wireless standard operates across a wider range of frequencies, which has raised aviation industry's concerns regarding safety and compatibility. For example, 5G systems operating with frequencies that are adjacent those used by radio altimeters could disrupt flight operations and navigation functions. This paper provides an overview of current research efforts assessing the 5G interference and its potential operational impact on altimeters. The work discusses the current stance of regulators and telecommunications operators worldwide on potential 5G interference with altimeters. The paper also compares the ongoing public consultations with key stakeholders globally regarding cellular systems' interference with altimeters. This work offers technical and policy recommendations to spectrum regulators and aviation authorities to inform the safe and efficient deployment of 5G spectra. This work identifies long-term solutions for achieving maximum 5G bands usability and ensuring compatibility among cellular technologies and aviation systems. • Aviation altimeters are highly susceptible to interference due to 5G mid-band. • Using directional 5G beams could be an interference mitigation solution. • Lack of definitive real-time data remains a barrier for interference estimation. • Regulations should be revised to reflect recent operational altimeter requirements. • Manufacturers need compliance with the altimeter's minimum operational standards. [ABSTRACT FROM AUTHOR]

Engine failure after take-off (or one engine being inoperative) is an exercise conducted as part of multi-engine flight training and on-going competency checking. To prepare pilots to manage a real in-flight emergency, this exercise has traditionally been conducted immediately after take-off. This has led to increased risks of fatal accidents due to the reduced height at which these exercises are typically conducted. Yet, there is variation in the heights stipulated in training procedures published by different stakeholders worldwide. Additionally, the conduct of the exercise has resulted in fatal accidents worldwide. This paper aims to review the previous literature on aviation training and aviation occurrence data to determine what empirical data exists to support the method of conducting simulated engine failures. Peer-reviewed academic publications on aviation training, aviation occurrence databases such as aviation investigation reports, and guidance materials published by aviation authorities on simulated training exercises will be included in this paper. It was found that the previous research on these exercises has focused on the transfer of motion cues or pilot responses to abnormal situations, but did not include specific data comparing pilot performance at different heights above ground level. A review of aviation occurrences found that actual engine failures occurred at higher heights that those used in simulated engine failures. A comparison of the guidance published by aviation authorities identified variations in the minimum altitude published and differing justifications for the minimum height chosen. Future research is needed to compare pilot performance during simulated engine failures to determine the ideal height to conduct the exercise to be representative of an actual engine failure while maintaining safety margins. [ABSTRACT FROM AUTHOR]

INTRODUCTION: Spatial disorientation (SD) remains the leading contributor to Class A mishaps in the U.S. Navy, consistent with historical trends. Despite this, SD training for military aircrew is largely confined to the classroom and experiential training replicating SD illusions is limited and infrequent. Static flight simulators are most commonly used for training but offer no vestibular stimulation to the flight crew, omitting the source of vestibular-mediated SD. BACKGROUND: We first cover vestibular-mediated SD illusions which may be replicated through galvanic vestibular stimulation (GVS) in a static environment. GVS is a safe, reliable, low-cost avenue for providing vestibular sensory stimulation. We review the underlying mechanisms of GVS such as the excitement and inhibition of the afferent neurons innervating the vestibular system, particularly in the binaural bipolar electrode montage. APPLICATIONS: Two approaches for how GVS may be used to enhance SD training are examined. The first is a means for providing unreliable vestibular sensory perceptions to pilots, and the second details how GVS can be leveraged for replicating vestibular-mediated SD illusions. DISCUSSION: We recommend GVS be pursued as an enhancement to existing SD training. The ability to disorient aircrew in the safe training environment of a static flight simulator would allow for aircrew familiarization to SD, serving as an opportunity to practice life-saving checklist items to recover from SD. A repeatable training profile that could be worn by military aircrew in a static flight simulator may afford a low-cost training solution to the number one cause of fatalities in military aviation. [ABSTRACT FROM AUTHOR]

INTRODUCTION: Most airline pilots reported having suffered from sleep disorders and fatigue due to circadian disruption, a potential risk to flight safety. This study attempted to uncover the actual scenario of circadian disruption and working load status among airline pilots. METHODS: In study 1, 21 pilots were invited to participate in a 14-d sleep monitoring and a dual 2-back test to monitor their sleep patterns and cognitive function level. To provide an in-depth view, data from scheduled flights, including 567 airline pilots, was analyzed in Study 2. The present study used cluster analysis to reflect the distribution of the flight scheduling characteristics, including working time and actual working hours. A simulation model was then developed to predict the pilots' 1-mo sleep-wake pattern. RESULTS: The results indicated that sleep problems were prevalent in this population, especially the night before an earlier morning shift. Regarding the cognitive test, they scored the lowest on earlier morning shifts compared with daytime and evening shifts. It was found that over 70% of the flight schedules can lead to circadian disruption, and 47.44% of the pilots worked under high-load status. DISCUSSION: Airline pilots inevitably work irregular hours and the current policies for coping with circadian disruption seem inefficient. This study thus calls for urgency in improving scheduling and fatigue management systems from the circadian rhythm perspective. [ABSTRACT FROM AUTHOR]

The article focuses on emission analysis of non-CO2 pollutions from aircraft engines on different flight levels: FL240, FL300 and FL350. The calculation was made based on the A320 flight from Berlin to Lisbon at flight level 350, which was the reference flight level in the analysis. Four sustainable aviation fuels have been taken into consideration: biofuel from jatropha and biofuel from camelina, which are used in different percentages of fuel: 20% of CSPK and JSPK and 40% of CSPK and JSPK. The results showed that the lowest emission of carbon monoxide is on the lowest tested flight level for flight on biofuel, and the lowest emission of nitrogen oxides is for Jet A-1 on the lowest tested flight level. Emission of every toxic gas compound has been compared to conventional jet fuel on flight level 350 to show the differences between flight levels. [ABSTRACT FROM AUTHOR]

Abstract The windshear (WS) or wind gradient is a short-lived microscale or meso-gamma weather phenomenon and is potentially very dangerous for aviation everywhere. This research presents the calculation of WS frequency and intensity from radiosonde data at six airport stations namely Abha, Jeddah, Madinah, Tabuk, Riyadh, and Dammam airport in Saudi Arabia for the period 1991–2020. The frequency and intensity of WS indicate that the number of severe WS increased suddenly from 2015 below 30 m level at all stations except for Riyadh there is no sudden increase. At all other levels, the number of light WS increased from bottom to up to ~ 900 m and then gradually decreased at 1200 m irrespective of stations. Overall, the highest WS observed in the autumn season for all stations except it is in summer for Jeddah. The occurrence of WS is higher in the daytime as compared to the nighttime round the year for Dammam, Madinah, Riyad, and Tabuk while the pattern is opposite for Jeddah. In Abha, it depends on the season. The sudden increase of severe WS from 2015 can be linked to the increase of building areas surrounded the airport. However, further investigation is required to understand the large number of severe WS and its relation to climate change in the region along with teleconnection to the large-scale circulations.

Abstract Eccentric upper‐body exercise performed 24 h prior to high‐altitude decompression has previously been shown to aggravate venous gas emboli (VGE) load. Yet, it is unclear whether increasing the muscle mass recruited (i.e., upper vs. whole‐body) during eccentric exercise would exacerbate the decompression strain. Accordingly, this study aimed to investigate whether the total muscle mass recruited during eccentric exercise influences the decompression strain. Eleven male participants were exposed to a simulated altitude of 24,000 ft for 90 min on three separate occasions. Twenty‐four hours before each exposure, participants performed one of the following protocols: (i) eccentric whole‐body exercise (ECCw; squats and arm‐cycling exercise), (ii) eccentric upper‐body exercise (ECCu; arm‐cycling), or (iii) no exercise (control). Delayed onset muscle soreness (DOMS) and isometric strength were evaluated before and after each exercise intervention. VGE load was evaluated at rest and after knee‐ and arm‐flex provocations using the 6‐graded Eftedal–Brubakk scale. Knee extensor (−20 ± 14%, P = 0.001) but not elbow flexor (−12 ± 18%, P = 0.152) isometric strength was reduced 24 h after ECCw. ECCu reduced elbow flexor isometric strength at 24 h post‐exercise (−18 ± 10%, P

Bu çalışmada, havacılık sektöründe karbon ayak izinin belirlenmesi ve azaltılması ile ilgili örnek bir uygulama yapılmıştır. Uygulamada, Eskişehir ilinde faaliyette olan Hasan Polatkan Havalimanı’nın 2023 yılındaki uçuşları baz alınarak karbon ayak izi hesaplanması amacıyla bir süreç gerçekleştirilmiştir. Çalışmada, emisyon hesaplamalarında Hükümetler Arası İklim Değişikliği Paneli tarafından tavsiye edilen Tier yaklaşım metodu kullanılmıştır. Ulaştırmadan kaynaklanan 〖CO〗_2 emisyon miktarı 2023 yılı Hasan Polatkan Havalimanı’nında 6.893.160 kg olarak hesaplanmıştır. Sonuç olarak; havayolu ulaştırma sektöründe kullanılan uçakların üreticileri ile düzenleyici kurumlar arasında sürdürülebilirlik konusunda bir standardizasyonun acilen sağlanmasının gerekli oluğu tespit edilmiştir.

Abstract Introduction COVID-19 has demonstrated the importance of competent staff with expertise in public health emergency preparedness and response in the civil aviation system. The civil aviation system is a critical sentinel and checkpoint to prevent imported cases and slow the spread of communicable diseases. Understanding the current competencies of staff to deal with public health emergencies will help government agencies develop targeted training and evidence-based policies to improve their public health preparedness and response capabilities. Methods This cross-sectional pilot study was conducted from November 2022 to October 2023, involving 118 staff members from various positions within China’s civil aviation system. A 59-item questionnaire was translated and developed according to a competency profile. Data were collected using the self-report questionnaire to measure the workforce’s self-perceptions of knowledge and skills associated with public health emergency proficiency, categorized into (1) general competency, (2) preparedness competency, (3) response competency, and (4) recovery competency. KMO & Bartlett test and Cronbach’s α reliability analysis were used to test the reliability and validity of the questionnaire. Descriptive statistics, independent sample T-test, ANOVA, and linear regression models were performed to analyze the competencies. Results A total of 107 staff members from the aviation system were surveyed in this study. The KMO & Bartlett test, (KMO = 0.919, P

Abstract Because of its distinct function and geographic conditions, the impact of climate change on the operation, safety, and income of airports in coastal areas is becoming increasingly significant. The measurement of climate resilience can help identify priority needs and measures to adapt to climate change, which is a crucial step in developing an aviation adaptation plan. At present, the concept of climate resilience is relatively complex and lacks a clear uniformity of composition, which has made it challenging to effectively support the development of adaptation strategies. Based on the definition of climate resilience, our first step was to construct an evaluation system for coastal airports to visually represent the level of climate resilience. Next, in this study, we introduced a coupling coordination and obstacle degree model to analyze the coordinated development and key drivers of climate resilience, which could be used to develop a targeted improvement strategy based on the calculation results. In the future, additional measures can be combined from the natural environment, socioeconomics, governance capacity, and climate change risk to enhance the capacity development of the aviation industry to address climate change and foster the establishment of a sustainable development model between the industry and the environment.