Article
Multidisciplinary Sciences
Jianhong Zhu, Junya Hashimoto, Kentaro Katahira, Makoto Hirakawa, Takashi Nakao
Summary: The study examines the choice-based learning model in internally guided decision-making processes, showing that the model fits the behavioral data well compared to other candidate models. It confirms the effectiveness of the model in explaining value changes in chosen and rejected items based on internal guidance. This research provides further evidence for the choice-based learning model in internally guided decision-making.
Article
Biotechnology & Applied Microbiology
Donghyo Kim, Myung Hyun Noh, Minhyuk Park, Inhae Kim, Hyunsoo Ahn, Dae-yeol Ye, Gyoo Yeol Jung, Sanguk Kim
Summary: The utility of engineering enzyme activity is expanding as biotechnology develops. Traditional methods have limited applicability, but a strategy called sequence co-evolutionary analysis has been developed to improve enzyme activity and control reaction efficiency. This strategy has successfully predicted enzyme activities and controlled the activities of different enzymes in chemical production.
METABOLIC ENGINEERING
(2022)
Review
Medicine, General & Internal
Beatrice L. Brown, Aaron S. Kesselheim, Ameet Sarpatwari
Summary: In this analysis, the authors, Ameet Sarpatwari, Beatrice Brown, and Aaron Kesselheim, examine the differences in primary and secondary prevention measures for teratogenic drugs.
Article
Computer Science, Information Systems
Rui Wang, Bing Xiang Yang, Yujun Ma, Peilin Wang, Qiao Yu, Xiaofen Zong, Zhen Huang, Simeng Ma, Long Hu, Kai Hwang, Zhongchun Liu
Summary: The study established a dictionary of potential suicide risk impact factors and proposed a new medical-level suicide risk standard for monitoring suicide risk effectively. By adopting a manual-assisted method and a Bert evaluation model, the data set was annotated and classified, addressing the issue of insufficient suicide data sets. Experimental results demonstrated a 56% recognition accuracy in predicting the 10-label suicide risk level, with better classification performance than traditional machine learning algorithms. This classification standard and evaluation model can be effectively utilized for identifying and providing early warnings for suicide risk, ultimately reducing the occurrence of suicide and playing a significant role in emotional care monitoring for individuals.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Oceanography
Karina Lopes Ramos, Rodrigo Machado, Cleverson Zapelini, Luciana Costa de Castilho, Alexandre Schiavetti
Summary: Conflicts between fishermen and South American sea lions in southern Brazil are influenced by factors such as knowledge, attitudes, and behavioral intentions. The type of fishing fleet and proximity to sea lion habitats also play a role in determining the fishermen's interactions with the sea lions.
OCEAN & COASTAL MANAGEMENT
(2023)
Article
Computer Science, Artificial Intelligence
Gulshan Shrivastava, Prabhat Kumar
Summary: An android application requires specific permissions to access resources, but malware apps can exploit this to access private data. A novel algorithm is proposed to detect malware based on permission patterns with around 90% efficiency.
Article
Ergonomics
Roja Ezzati Amini, Kui Yang, Constantinos Antoniou
Summary: A conflict risk evaluation model is developed to assess the safety level of pedestrian conflict with other road users. Surrogate safety indicators are employed to measure road users' temporal and spatial proximity during a conflict, and thresholds are determined through the application of various methods to separate potential critical conflicts.
ACCIDENT ANALYSIS AND PREVENTION
(2022)
Article
Health Care Sciences & Services
Benjamin Kinast, Hannes Ulrich, Bjoern Schreiweis
Summary: In patient care, data silos are limiting the accessibility of health data. Medical informatics is developing ways to move from siloed data to a more harmonized arrangement. This study aims to provide a catalog of functional requirements for integrating medical data into knowledge management environments and found 220 distinct requirements from 61 publications.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2023)
Article
Multidisciplinary Sciences
Scott Claessens, Chris G. Sibley, Ananish Chaudhuri, Quentin D. Atkinson
Summary: This study tested the relationship between cooperation and conformity preferences and political ideology using data from a New Zealand survey and behavioral tasks. The findings show that cooperative behavior is negatively associated with Social Dominance Orientation (SDO) and economically conservative policy views, while conformist behavior is positively associated with Right Wing Authoritarianism (RWA) and socially conservative policy views.
SCIENTIFIC REPORTS
(2023)
Article
Biology
Adria Marly, Arek Yazdjian, Salvador Soto-Faraco
Summary: In order to form coherent multisensory perceptual representations, the brain must solve the causal inference problem by deciding whether sensory cues should be combined or processed independently. The present study proposes that this process involves competition between alternative perceptual models and engages conflict processing mechanisms in the brain. Two experiments were conducted to test this hypothesis, which measured reaction times and electroencephalography using an audiovisual ventriloquist illusion paradigm. The findings suggest a potential involvement of conflict mechanisms in the multisensory integration of spatial information.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2023)
Review
Computer Science, Artificial Intelligence
Patricia Kuegler, Fabian Dworschak, Benjamin Schleich, Sandro Wartzack
Summary: Knowledge-based engineering (KBE) is a research field that emerged in the 1980s within the context of AI, CAD, and computer programming. It refers to methods and tools for knowledge reuse and design automation, aiming to improve time and cost efficiency in engineering design, especially in aerospace and automotive industry. However, the theoretical foundations of KBE are weak and the scientific literature is scattered.
ADVANCED ENGINEERING INFORMATICS
(2023)
Article
Engineering, Civil
Cian Ryan, Finbarr Murphy, Martin Mullins
Summary: Autonomous vehicles have the potential to greatly reduce road accidents, but the transition to fully automated driving poses new risks. Quantifying AV accident risks relative to human drivers remains a major challenge, and benchmarking against human behavior may provide a proactive approach to addressing this issue.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Review
Ecology
Kristin Aleklett, Lynne Boddy
Summary: Behaviors are integral to the daily lives of human beings, vertebrates, and to some extent, invertebrates, and can be studied through the concepts of behavioral ecology. Despite the minimal commonalities between humans and fungi, fungi also exhibit behaviors that can be better understood through the lens of behavioral ecology. Insights from fungal behavior may contribute to a broader understanding of behavioral ecology as a whole.
TRENDS IN ECOLOGY & EVOLUTION
(2021)
Article
Economics
Rafael A. Acevedo, Pedro Harmath, Jose U. Mora, Raquel Puente, Elvis Aponte
Summary: The paper introduces a two-stage model to examine the temporary or permanent effects of events on consumer decisions, and analyzes the impact of COVID-19 on consumer decisions in Colombia.
MANAGERIAL AND DECISION ECONOMICS
(2022)
Article
Computer Science, Interdisciplinary Applications
Federica Cappelletti, Roberto Menghi, Marta Rossi, Michele Germani
Summary: This paper proposes a general method for deep environmental evaluation of a swimming goggles distribution. The results show that the materials and manufacturing phases have the highest environmental impacts, highlighting the need for improvements in these areas. Proper dissemination, cooperation, and communication strategies should be implemented to reduce the environmental impact without compromising product performance.
JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING
(2022)
Article
Engineering, Civil
Yao Yao, Oliver Carsten, Daryl Hibberd
TRANSPORTATION RESEARCH RECORD
(2020)
Article
Behavioral Sciences
Davide Maggi, Richard Romano, Oliver Carsten
Summary: Drivers' behaviors during transitions between highly automated driving and longitudinally assisted driving depend on their initial role, with initiating drivers being more engaged in the driving task. Handover strategies that retain a larger authority share are more effective when the automation initiates the transition.
Article
Transportation
Richard Romano, Davide Maggi, Toshiya Hirose, Zara Broadhead, Oliver Carsten
JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS
(2020)
Article
Engineering, Industrial
Mickael Jean Remy Perrier, Tyron Linton Louw, Oliver Carsten
Summary: Advanced driving assistance systems (ADAS) encompass various systems relieving drivers of different aspects of control responsibility. Standard symbols for ACC and LKA may not be the most suitable, especially when compared to manufacturer-specific symbols. Drivers without prior knowledge of ADAS have difficulties interpreting symbols, particularly in the realm of lane-keeping assistance and lane centring control.
COGNITION TECHNOLOGY & WORK
(2021)
Review
Orthopedics
Vasileios Giannoudis, Stephen Guy, Richard Romano, Oliver Carsten, Hemant Pandit, Bernard van Duren
Summary: Limited evidence is available on the return to driving for patients undergoing knee arthroplasty (KA), with studies showing no significant difference in total brake reaction time up to 3 months postoperatively, while reaction time improved significantly. In contrast, movement time significantly decreased post KA and may represent a more reliable measure of braking performance. Surgeons should consider these findings and patient factors when advising on safe return to driving.
Article
Transportation
Anderson Etika, Natasha Merat, Oliver Carsten
Summary: The study found that the use of the ISA application significantly improved compliance with speed limits, especially in the 60 km/h and 80 km/h zones. No negative effects on driver speeding behavior were observed from the use of the system.
Article
Psychology, Applied
Davide Maggi, Richard Romano, Oliver Carsten
Summary: Lane Keeping Assist can help drivers keep the vehicle in the center of the lane when control is handed back to them. However, assistance at an operational level does not improve their ability to handle more complex tasks. Task-specific assistance, such as Blind-spot assist, is more effective for tackling tactical decisions.
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
(2022)
Article
Ergonomics
Davide Maggi, Richard Romano, Oliver Carsten
Summary: The study found that drivers' steering engagement is more influenced by the transition initiation rather than the quality of guidance. In user-initiated transitions, drivers exert stronger steering inputs, allowing them to maintain larger TTLC values with fewer corrections.
ACCIDENT ANALYSIS AND PREVENTION
(2022)
Article
Engineering, Industrial
Davide Maggi, Richard Romano, Oliver Carsten, Joost C. F. De Winter
Summary: Technological advancement and economic interests have fueled research on automated driving and its impact on drivers' behavior. However, imprecise and colloquial use of terms has created confusion. This survey aims to compare different taxonomies and standardize the use of terms to enhance future research.
COGNITION TECHNOLOGY & WORK
(2022)
Correction
Engineering, Industrial
Davide Maggi, Richard Romano, Oliver Carsten, Joost C. F. De Winter
COGNITION TECHNOLOGY & WORK
(2022)
Article
Engineering, Industrial
Mickael J. R. Perrier, Tyron L. Louw, Oliver M. J. Carsten
Summary: This study used a user-centered design approach to compare the usability of three different HMI designs for ACC systems. The results provided design recommendations for indicating set target speed, set time gap between vehicles, and system mode in a more efficient way.
Review
Economics
Oguz Tengilimoglu, Oliver Carsten, Zia Wadud
Summary: Automated vehicles (AVs) have attracted significant attention in recent years, posing new challenges and opportunities for transportation networks and built environments. Understanding the impact of AVs on road infrastructure is crucial for assessing network readiness and planning for future roads. This paper conducts a comprehensive literature review to investigate the implications of AVs for road infrastructure, identifying thirteen key topics that need consideration during deployment or transition to full automation. The paper discusses potential changes and challenges and provides recommendations for future research directions to ensure safe and efficient operation.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2023)
Article
Economics
Oguz Tengilimoglu, Oliver Carsten, Zia Wadud
Summary: The need to future-proof road transport networks for the safe operation of automated vehicles (AVs) is urgent, but limited literature exists on the infrastructure requirements of AVs. This study surveyed experts and stakeholders from 29 countries to understand the necessary road infrastructure elements for Level 4 automated driving. The findings suggest that stakeholders have similar views on early considerations for implementing AVs, but differing opinions exist regarding constraints on road networks.
Article
Engineering, Electrical & Electronic
Oguz Tengilimoglu, Oliver Carsten, Zia Wadud
Summary: The introduction of connected and automated vehicles (CAVs) has the potential to bring numerous advantages to urban mobility, but there are many challenges for road infrastructure that need to be overcome. This study conducted a comprehensive survey with 168 experts from different sectors and regions around the world to address the implications of CAV deployment for road infrastructure. The research shows that there is still no consensus among stakeholders on maximizing CAV benefits, indicating the necessity for cooperation to ensure safe and efficient operation. Overall, this study provides valuable insights for decision-makers and transport planners to shape policies and guidelines for the future implementation of CAVs on roads before commercialization.
IET INTELLIGENT TRANSPORT SYSTEMS
(2023)
Article
Psychology, Applied
Anderson A. Etika, Natasha Merat, Oliver Carsten
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
(2020)
