Relevant bibliographies by topics / Ensuring safe interaction for healthy applications

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Ensuring safe interaction for healthy applications'

Author: Grafiati
Published: 25 May 2024
Last updated: 19 July 2025

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Journal articles on the topic "Ensuring safe interaction for healthy applications"

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Borycki, Elizabeth M., Linda W. P. Peute, Femke van Sinderen, David Kaufman, and Andre W. Kushniruk. "Safety and Precision AI for a Modern Digital Health System." Yearbook of Medical Informatics 33, no. 01 (2024): 018–24. https://doi.org/10.1055/s-0044-1800714.

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SummaryArtificial intelligence (AI) promises to revolutionize healthcare. Currently there is a proliferation of new AI applications that are being developed and beginning to be deployed across many areas in healthcare to streamline and make healthcare processes more efficient. In addition, AI has the potential to support personalized and customized precision healthcare by providing intelligent interaction with end users. However, to achieve the goal of precision AI issues and concerns related to the safety of AI, as with any new technology, must be addressed. In this article we first describe
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Anchala Balaraj, Et al. "Electronic Health Record System using Blockchain Technology." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (2024): 3208–12. http://dx.doi.org/10.17762/ijritcc.v11i9.9511.

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The healthcare sector is frequently known for being delicate and intricate.Individuals' sensitive information must be kept safe, secure, and protected.Blocks of the blockchain are secured and bound to each other using cryptographic principles.
 By maintaining the patient at the centre of the medical ecosystem system and establishing greater security, interoperability, and privacy of stored patient records, blockchain has the potential to eradicate the problems ailing the industry and transform healthcare.
 By decentralizing and encrypting health records, blockchain ensures that patie
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Kandasamy, Sujatha, Jayeon Yoo, Jeonghee Yun, et al. "Application of Whey Protein-Based Edible Films and Coatings in Food Industries: An Updated Overview." Coatings 11, no. 9 (2021): 1056. http://dx.doi.org/10.3390/coatings11091056.

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The recent surge in environmental awareness and consumer demand for stable, healthy, and safe foods has led the packaging and food sectors to focus on developing edible packaging materials to reduce waste. Edible films and coatings as a modern sustainable packaging solution offer significant potential to serve as a functional barrier between the food and environment ensuring food safety and quality. Whey protein is one of the most promising edible biopolymers in the food packaging industry that has recently gained much attention for its abundant nature, safety, and biodegradability and as an e
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Sysoeva, E. Yu. "Safe pedagogical communication: ethical and speech aspect." Vestnik of Samara University. History, pedagogics, philology 29, no. 1 (2023): 77–82. http://dx.doi.org/10.18287/2542-0445-2023-29-1-77-82.

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The article analyses the orientation and priorities of pedagogical communication in the conditions of humanistic paradigm of education. One of the main characteristics of pedagogical communication is the non-violent nature of pedagogical interaction. Frustration in interpersonal relations, emotional distress, insufficient level of professional self-awareness and reflection lead to the use of violent forms of communication in the pedagogical process. Pedagogical violence is a misplaced emphasis on the attitude of authority of the teacher towards the pupil. Also, it is accompanied by various for
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Sukhova, Anna V., Elena A. Preobrazhenskaya, and Inna V. Lapko. "Hygienic approach to the formation of corporate programs for the preservation of the health of the able-bodied population." HEALTH CARE OF THE RUSSIAN FEDERATION 68, no. 6 (2024): 518–25. https://doi.org/10.47470/0044-197x-2024-68-6-518-525.

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Protecting the health of the working population is a priority area of state policy in the field of labour relations, ensuring safe working conditions, and preventing chronic noncommunicable diseases (CVD), which is implemented, among other things, through corporate programs to preserve and strengthen health. The purpose of the study is to substantiate a hygienic approach to the formation of corporate programs for the preservation of the health of the able-bodied population. Materials and methods. In carrying out this work there was used the analytical method, regulatory and legal documentation
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Lin, Ruzhe. "Applications and Challenges of Embedded Systems in New Energy Vehicles." Theoretical and Natural Science 109, no. 1 (2025): 174–80. https://doi.org/10.54254/2753-8818/2025.gl24073.

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Embedded systems are integral to the advancement of New Energy Vehicles (NEVs), enabling efficient, safe, and intelligent operations. This paper reviews their key applications in NEVs, including battery management, energy optimization, fault diagnostics, and communication integration. Embedded systems enhance vehicle performance by enabling precise State of Charge (SOC) and State of Health estimation, optimizing energy usage, and ensuring real-time fault detection. However, several challenges remain, such as computational inefficiency, scalability limitations, and the robust integration of mul
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Kermani, Mehrdad R., Sergey Pisetskiy, Ilia Polushin, and Zi-Qi Yang. "Antagonistic Magneto-Rheological Actuators with Inherent Output Boundedness: An Ideal Solution for High-Performance and Human-Safe Actuation." Actuators 12, no. 9 (2023): 351. http://dx.doi.org/10.3390/act12090351.

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This paper studies the working principles of antagonistic magneto-rheological (MR) actuators, i.e., a combination of an electric motor and a pair of MR clutches in an antagonistic configuration, for compliant actuation in robotics. The study focuses on the unique boundedness property exhibited by MR actuators, which limits the output torques delivered to the load, independent of the received input torque and/or control commands. This inherent property is of significant importance for ensuring human safety in human–robot interaction applications. Through a comprehensive analysis, we provide ana
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Andrade, Dhuelly Kelly Almeida, Boying Wang, Emília Maria França Lima, et al. "Kombucha: An Old Tradition into a New Concept of a Beneficial, Health-Promoting Beverage." Foods 14, no. 9 (2025): 1547. https://doi.org/10.3390/foods14091547.

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Kombucha is an ancient, fermented beverage that has gained increasing popularity worldwide due to its potential health benefits. Its origins trace back to China, from where it spread across Asia and Europe before reaching the modern global market. The fermentation of kombucha is mediated by a Symbiotic Culture of Bacteria and Yeasts (SCOBY), comprising yeasts, acetic acid bacteria, and lactic acid bacteria. The microbial consortium plays a crucial role in the production of organic acids and bioactive metabolites, shaping the sensory characteristics of the beverage. Given the growing interest i
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Ramzy, Mina, Sherif Hammad, and Shady Maged. "Kinematic and Dynamic Modeling of 3DOF Variable Stiffness Links Manipulator with Experimental Validation." Applied Sciences 14, no. 12 (2024): 5285. http://dx.doi.org/10.3390/app14125285.

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Variable stiffness link (VSL) manipulators are robotic arms that can adjust their link stiffness in real time to improve their adaptability and precision. They are particularly useful in industrial environments where safe collaboration with human workers is required. However, modeling and controlling these non-linear systems is a major challenge due to their complexity. This research paper presents a mathematical model for a 3DOF VSL manipulator, which is the first step towards optimizing performance, improving safety, and reducing costs. The accuracy and reliability of the model are demonstra
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Mishenin, Yevhen, Janusz Klisinski, Inessa Yarova, and Andrii Rak. "Mechanisms of cluster structures development in the field of waste management for ensuring healthy environment." Health Economics and Management Review 1, no. 2 (2020): 78–90. http://dx.doi.org/10.21272/hem.2020.2-09.

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This paper formulates the basic provisions that determine the organizational and innovative basis for the formation of cluster structures in waste management to ensure a healthy environment and health disease prevention. The structural and functional scheme of creating and functioning the environmental and resource cluster of waste management has been substantiated. Features of the formation of the complex mechanism of cluster management have been outlined. The main purpose of the research is to develop the conceptual principles and mechanisms of organizational and innovative development of cl
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Dissertations / Theses on the topic "Ensuring safe interaction for healthy applications"

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Abdulmalek, Ghiath. "Electronics and Control Development of Servo Electro-Hydraulic Actuators (SEHA)." Electronic Thesis or Diss., université Paris-Saclay, 2023. http://www.theses.fr/2023UPAST224.

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Les robots humanoïdes incarnent un lien singulier entre l'ingénierie, la technologie et les aspirations humaines. Cependant, leur progression pose des défis complexes au-delà des aspects techniques, englobant des considérations fondamentales telles que les besoins énergétiques, les capacités de détection et les algorithmes de contrôle sophistiqués. Les actionneurs, véritable cœur de ces machines, jouent un rôle crucial en permettant des mouvements précis et en mimant la complexité des muscles et des articulations humaines. L'actuateur servo-électrohydraulique (SEHA), une proposition innovante
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Book chapters on the topic "Ensuring safe interaction for healthy applications"

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Soundarya, M., Joel Jebadurai Devapitchai, S. Krishnakumari, and Thirupathi Manickam. "Applications of Artificial Intelligence Techniques in Education." In Advances in Educational Technologies and Instructional Design. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-5488-9.ch017.

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In the rapidly evolving landscape of education, the integration of Artificial Intelligence (AI) has emerged as a transformative force, promising to revolutionize the way to teaching and learning. This book chapter presented the applications of AI tools in online education in these online learning environments, the interaction between learners and instructors significantly influences satisfaction and learning outcomes. Therefore, understanding how AI impacts this interaction is crucial for identifying potential challenges and ensuring safe and effective learning environments. Also, this book chapter presented the case studies, success stories, and benefits of AI applications in online education. This chapter will be useful for educational institutions to improve their efficiency with their stakeholders and learners.
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Naresh, G., T. Praveen Kumar, Aaryan Anil, and M. Aswathy. "BATTERY HEALTH MONITORING SYSTEM USING ARDUINO NANO MICROCONTROLLER: EVALUATING PERFORMANCE AND ANOMALY DETECTION FOR 21700-TYPE LITHIUM-ION BATTERIES." In Futuristic Trends in Mechanical Engineering Volume 3 Book 7. Iterative International Publisher, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bfme7p9ch2.

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Battery monitoring plays a vital role in ensuring the safe and efficient operation of batteries in diverse applications. This research presents the development and evaluation of a robust battery health monitoring system, leveraging the versatility of the Arduino Nano microcontroller. The system accurately measures and analyzes essential battery parameters, including voltage, current, and temperature, during charging and discharging cycles of both healthy and physically damaged 21700-type lithium-ion batteries. The results reveal a systematic and comprehensive understanding of battery behavior, confirming the voltage profiles' adherence to fundamental electrochemical principles. The system effectively detects anomalies in physically damaged batteries, indicating reduced capacity and increased internal resistance, using a real-time comparison-based anomaly detection algorithm. This scientific endeavor underscores the significance of battery monitoring systems for proactive maintenance, optimization of battery life, and ensuring sustainable and efficient energy management in contemporary applications.
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Kaur, Jaspreet, and Sukhpreet Singh. "Recent advances in virtual reality: Applications, challenges, and future directions." In Deep Science Publishing. Deep Science Publishing, 2025. https://doi.org/10.70593/978-81-982935-1-0_4.

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Virtual Reality (VR) has evolved significantly over the past decade, transitioning from a niche technology to a widely used tool with applications spanning healthcare, education, entertainment, architecture, manufacturing, and beyond. The ability of VR to create immersive, interactive, and engaging environments has revolutionized industries, enabling breakthroughs in medical rehabilitation, mental health therapies, and user experience research. This chapter delves into recent advancements in VR, focusing on its innovative applications, ongoing challenges, and future directions. In healthcare, VR is transforming physical rehabilitation and mental health treatment by providing controlled, customized environments for therapy. In education, it offers experiential learning opportunities that enhance understanding and retention. The integration of Artificial Intelligence (AI) has further elevated VR capabilities, enabling adaptive and intelligent virtual environments. Despite its rapid growth, VR faces hurdles such as hardware limitations, health risks, ethical concerns, and the need for robust security frameworks. This chapter also explores strategies to address these challenges, ensuring VR remains accessible, safe, and ethical. Future research directions include enhancing realism through haptic feedback and sensory integration, improving accessibility, and creating interconnected systems by integrating VR with augmented reality (AR), mixed reality (MR), and the Internet of Things (IoT). By addressing these challenges and opportunities, VR is poised to reshape how individuals interact with digital environments, driving innovation across industries.
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Tamuli, Jyotishman, Sarbani Giri, and Rahul Saikia. "Nanomaterial-Induced Genotoxicity: Insights into Chromosomal Aberrations and Cellular Integrity." In Chromosomal Abnormalities - From DNA Damage to Chromosome Aberrations [Working Title]. IntechOpen, 2025. https://doi.org/10.5772/intechopen.1009669.

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Nanomaterials have various uses in modern life due to their adjustable physiochemical properties and controlling shape and size. Recently, the biomedical and pharmaceutical industry has started extensively using nanomaterials in different fields, including enzyme immobilization, drug delivery, biosensing, and imaging. Despite having a wide range of applications, nanomaterials have significant hazardous effects on the environment and health. It causes toxicity due to unwanted interactions with biological systems and has the potential effect of DNA damage, which may lead to cancer. Nanomaterials can affect the cell by causing intranuclear protein aggregation, which interferes with the cell proliferation and division process. Some nanomaterials possess genetic toxicity by DNA strand break, producing reactive oxygen species and targeting the histone protein. Exposure to nanomaterials induces carcinogenicity in different species by increasing micronuclei content and causing inflammation in various manners. Understanding the mechanisms underlying nanoparticle-induced genotoxicity is crucial for developing safe nanomaterials. Toxicity assessment of nanomaterials is crucial to ensuring human and environmental safety. This chapter explores how nanomaterials can induce DNA damage, including oxidative stress, inflammation, and mitochondrial dysfunction. The consequences of such damage, such as disruption of cellular integrity, genotoxicity, and chromosomal aberrations, are also explained.
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V. Senthilkumar, Dr, and Professor A. Nagadeepn. "AI-BASED NDE FOR COMPOSITE MATERIALS." In Futuristic Trends in Artificial Intelligence Volume 3 Book 12. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3biai12p1ch1.

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The utilization of composite materials has experienced rapid growth across various industries, owing to their superior mechanical properties and reduced weight. However, ensuring the structural integrity and reliability of composite components demands robust Non-Destructive Evaluation (NDE) techniques. In recent years, the integration of Artificial Intelligence (AI) in NDE has emerged as a promising approach to overcome the limitations of conventional methods and enhance inspection capabilities. This paper provides a comprehensive review of AI-driven NDE techniques tailored specifically for composite materials. It begins by elucidating the inherent complexities of composite structures and their impact on traditional NDE methods. Subsequently, an in-depth exploration of various AI algorithms, including machine learning, deep learning, and hybrid models, is presented, demonstrating their effectiveness in addressing key challenges such as defect detection, localization, and characterization. The paper further delves into specific applications of AI-driven NDE in composite materials. It highlights case studies showcasing the successful implementation of AI-enhanced Ultrasonic Testing (UT), Thermography, and Acoustic Emission (AE) techniques for accurate flaw identification and quantification. Moreover, the integration of AI with real-time monitoring systems for structural health assessment is discussed, offering potential avenues for predictive maintenance and structural longevity. While AI presents a multitude of opportunities in NDE for composites, it also brings forth new challenges. Ethical considerations concerning data privacy, model interpretability, and human-AI interaction warrant careful examination. Additionally, ensuring AI model robustness and adaptability to varying composite materials and configurations require ongoing research efforts. In conclusion, this paper underscores the transformative impact of AI on NDE for composite materials, providing insights into advancements, applications, and challenges. By fostering collaboration between materials scientists, NDE experts, and AI researchers, this convergence of technologies holds the promise of revolutionizing composite inspection, contributing to safer, more reliable, and efficient engineering solutions across industries.
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Hoang, Minh Long. "Reinforcement Learning in Robot Automation by Q-learning." In Artificial Intelligence Development in Sensors and Computer Vision for Health Care and Automation Application. BENTHAM SCIENCE PUBLISHERS, 2024. https://doi.org/10.2174/9789815313055124010005.

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This chapter demonstrates the pivotal role of reinforcement learning (RL), specifically employing the Q-learning algorithm, in enhancing the capabilities of autonomous mobile robots (AMRs) for transportation tasks. The focus is on enabling the robot to learn and execute two critical tasks autonomously. The first task involves the robot learning the optimal path to transport an object from its current location to a specified destination. The second task requires the robot to adeptly avoid obstacles encountered along the way, ensuring safe and efficient navigation. The robot is equipped with advanced sensors, including light detection and ranging (Lidar) and inertial measurement unit (IMU) sensors, to accomplish these tasks. The Lidar sensor provides detailed scanning of the surrounding environment, allowing the robot to detect and map obstacles, while the IMU sensors aid in precise positioning and movement tracking. These sensory inputs are crucial for the robot to understand its environment and make informed decisions accurately. The chapter elucidates the working principles of the Q-learning algorithm, a model-free RL technique that enables the robot to learn optimal actions through trial-and-error interactions with its environment. The training process involves the robot being rewarded for successful task completion and penalized for undesirable actions, gradually refining its policy to maximize cumulative rewards. Through detailed explanations and practical demonstrations, this research showcases how Q-learning facilitates the robot's learning process, enabling it to master the tasks of path planning and obstacle avoidance. The insights gained from this study highlight the potential of RL in advancing the autonomy and efficiency of mobile robots in transportation and other applications, paving the way for further innovations in the field.
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Sheela Devi, A., and Vishnu Kiran Manam. "Role of Biodegradable Nanoparticles in Pulmonary Drug Delivery for Respiratory Diseases like COPD and Asthma." In Engineered Nanoparticles for Regenerative Medicine Immunotherapy, 2025th ed. RADemics Research Institute, 2025. https://doi.org/10.71443/9789349552852-12.

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Biodegradable nanoparticles coupled with artificial intelligence (AI) represent a groundbreaking approach in the field of pulmonary drug delivery, offering novel solutions for the treatment of chronic respiratory diseases such as asthma and chronic obstructive pulmonary disease (COPD). This chapter explores the potential of these advanced technologies to revolutionize the management of respiratory disorders by enabling targeted, controlled, and efficient drug delivery systems. By leveraging the unique properties of biodegradable nanoparticles, the development of inhalable therapies can be optimized to deliver drugs directly to the lungs, reducing systemic side effects and enhancing therapeutic efficacy. The integration of AI further enhances the design, formulation, and predictive modeling of these nanoparticle-based systems, ensuring precision in drug delivery and personalized treatment strategies. The intersection of nanotechnology and AI holds significant promise in overcoming the limitations of conventional treatment modalities, including poor bioavailability, short half-life, and inadequate targeting of disease sites. Moreover, AI-powered simulations can accelerate the development process by enabling real-time analysis of particle behavior, interaction with biological systems, and predicting patient-specific responses. However, successful translation from laboratory innovations to clinical applications requires the convergence of expertise across multiple disciplines, including nanotechnology, pulmonology, pharmacology, and regulatory science. Ethical, regulatory, and socio-economic challenges must be addressed to ensure the safe, equitable, and widespread adoption of these technologies. Stakeholder collaboration, robust regulatory frameworks, and careful consideration of data privacy and patient consent are essential to realizing the full potential of AI-nanoparticle therapies. The chapter concludes with a discussion on the future prospects and the transformative role these integrated technologies will play in reshaping the treatment landscape for respiratory diseases.
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Conference papers on the topic "Ensuring safe interaction for healthy applications"

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Almer, Alexander, Anna Weber, Florian Haid, et al. "Physiological and cognitive real-time stress analysis as a basis for optimised human-machine teaming and safe decision processes for military forces." In 5th International Conference on Human Systems Engineering and Design: Future Trends and Applications (IHSED 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1004151.

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Introduction In recent decades, the development of autonomous cyber-physical systems for a wide range of tasks has been the focus of research activities for military organisations. Modern security forces can be seen as socio-technical systems. Only an integrated approach, in which people, organisation and technology are viewed as interlocking elements, enables the optimisation of the overall system. Soldiers are still at the center of deployed sociotechnical systems despite major innovations in the field of autonomous systems and artificial intelligence (Swiss, 2020). An efficient and coordina
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Saager, Marcel, Alexander Steinmetz, Jan-patrick Osterloh, Anja Naumann, and Axel Hahn. "Ensuring Fast Interaction with HMI´s for Safety Critical Systems - An Extension of the Human-Machine Interface Design Method KONECT." In Intelligent Human Systems Integration (IHSI 2024) Integrating People and Intelligent Systems. AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1004483.

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More and more automation of safety-critical transport systems, either in the railway sector, in the aviation sector or in maritime transport, is becoming part of the further development of many systems. However, humans are certainly not being removed from these systems. Their tasks are changing and the question of a human fallback level arises, to ensure the safe operation of autonomous systems. Concepts of this fallback level can be, monitoring centers for autonomous trains, modern control centers for future drone traffic in aviation or remote shore-control centers for autonomous shipping. Be
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Müller, Inga, Jasmin Henze, Anja Burmann, Rutuja Salvi, and Rainer Baum. "User-Centred Design of a Patient App for Carotid Artery Monitoring at Home." In 5th International Conference on Human Systems Engineering and Design: Future Trends and Applications (IHSED 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1004111.

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The World Health Organization (WHO) reports that cerebrovascular diseases account for the second highest cause of death in Europe, contributing to 11% of annual deaths. One of the underlying causes is a stenosis, which refers to the blockage or narrowing of the carotid artery due to the accumulation of plaque within the artery. Although stenoses can result in severe health complications such as strokes, early detection can prevent such complications. The BODYTUNE system aims to detect building stenoses in high-risk patients through an AI-supported auscultation device. This device is accompanie
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Adesina, Joshua, J. C. Thomas, Xun Liu, and Gönül Kaletunç. "Brief Paper: Understanding Temperature Development and Powder Dynamics During Ultrasonic Compression of Flour Systems." In ASME 2024 19th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2024. http://dx.doi.org/10.1115/msec2024-124606.

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Abstract The transformation of agricultural produce through various unit operations into shelf-stable, convenient, and healthy products is vital to meet consumers’ dietary needs. Numerous traditional food processing and preservation methods, such as drying, frying, smoking, salting, pickling, and more, remain widely utilized for effectively handling raw food products. These methods primarily rely on the application of heat to reduce microbial growth and prevent the proliferation of foodborne pathogens, thereby ensuring food safety. However, thermal treatments consume significant energy, result
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Ciccarelli, Marianna, Simir Moschini, Matteo Claudio Palpacelli, Alessandra Papetti, and Michele Germani. "Design of Human-Robot Collaborative Workstation for the Packaging of Kitchen Furniture." In ASME 2022 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/imece2022-95452.

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Abstract Collaborative robotics is a key pillar of the smart factory of the future making production systems more flexible and responsive. To this aim, the research communities have made considerable efforts to enable direct interaction between humans and robots in a safe and integrated shared workspace. However, the industrial sector still shows a mismatch between the HRC potentialities and the HRC existing applications. The design is often technology-driven, and coexistence prevails on cooperation or collaboration. Through the case study, this article describes the human-driven design approa
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Aksnes, Vegard, Hagbart Alsos, Erin Bachynski-Polić, et al. "On Common Research Needs for the Next Generation of Floating Support Structures." In ASME 2022 41st International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/omae2022-79167.

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Abstract The world is facing several industrial and societal challenges, such as providing enough renewable energy and enough safe and healthy food as formulated in the United Nations sustainable development goals. Using floating stationary structures, the ocean can contribute to solving several of the challenges. New applications need new types of structures, with which we have limited experience. These support structures will be diverse, but also have essential research needs in common. Design of novel floating structures need reliable descriptions of the marine environment. This is particul
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Ziakkas, Dimitrios, Konstantinos Pechlivanis, and Debra Henneberry. "The Implementation of AI in the eVTOL Safety Management Systems." In 16th International Conference on Applied Human Factors and Ergonomics (AHFE 2025). AHFE International, 2025. https://doi.org/10.54941/ahfe1006501.

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The emergence of electric Vertical Take-Off and Landing (eVTOL) aircraft represents a transformative evolution in urban mobility, promising sustainable and efficient air transportation. However, the integration of eVTOLs into high-density urban environments introduces new safety challenges that require advanced Safety Management Systems (SMS). Traditional SMS frameworks, which rely on deterministic models and human-centric decision-making, are insufficient for managing the complexity of eVTOL operations. The integration of Artificial Intelligence (AI) into SMS offers a proactive approach to ri
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