Hyperhemolysis Syndrome without Underlying Hematologic Disease by Lauren Anne Eberly, Diaa Osman, Nathaniel Perryman Collins

“…A 55-year-old male presented to the hospital after a motorcycle crash and received 10 units of cross-matched blood for active bleeding. …”
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Rapid Driving Style Recognition in Car-Following Using Machine Learning and Vehicle Trajectory Data by Qingwen Xue, Ke Wang, Jian John Lu, Yujie Liu

“…Rear-end collision crash is one of the most common accidents on the road. …”
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Protected Turning Movements of Noncooperative Automated Vehicles: Geometrics, Trajectories, and Saturation Flow by Xiaobo Liu, Lijuan Lai, You Kong, Scott Le Vine

“…Finally, we demonstrate limited sensitivity to crash-risk criterion, with a 4% difference arising from a change from 1 in 10,000 to 1 in 100,000,000. …”
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Biomechanics of Heading a Soccer Ball: Implications for Player Safety by Charles F. Babbs

“…The calculated head accelerations were compared to those during presumably safe daily activities of jumping, dancing, and head nodding and also were related to established criteria for serious head injury from the motor vehicle crash literature. The results suggest heading is usually safe but occasionally dangerous, depending on key characteristics of both the player and the ball. …”
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Open Reduction and Internal Fixation of Volar Barton Fracture: A Clinical Study by Afzaal Rafeeq Ansari, Ashok Rawat, Utsav Aman

“…The cause of injury was road traffic crash in 15 cases and fall in 5. All cases were type B3 with 10 B3.3, 5 B3.2, and 5 B3.1 subtypes. …”
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Conservative Management of Major Liver Necrosis after Angioembolization in a Patient with Blunt Trauma by Husham Abdelrahman, Ahmad Ajaj, Sajid Atique, Ayman El-Menyar, Hassan Al-Thani

“…We reported a case of a 19-year-old male who presented with a history of motor vehicle crash. Abdominal computerized tomography (CT) scan revealed large liver laceration (Grade 4) with blush and moderate free hemoperitoneum in 3 quadrants. …”
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Risk Factors Associated with Injury and Mortality from Paediatric Low Speed Vehicle Incidents: A Systematic Review by Anne Paul Anthikkat, Andrew Page, Ruth Barker

“…Strategies relating to vehicle design (devices for increased rearward visibility and crash avoidance systems), housing design (physical separation of driveway and play areas), and behaviour (driver behaviour, supervision of young children) are discussed.…”
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Knowledge Management in Road Accident Detection Based on Developed Deep Learning by Bvss Subbarao, Ramana K

“…The study involves creating a smartphone application that continually reads sensor data and sends it to the cloud for further processing. The crash was discovered by threshold analysis. The critical contribution of this research is creating a scheme that alerts nearby hospitals and ambulances when an accident occurs. …”
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Modified Arthroscopic Suture Fixation of Posterior Cruciate Ligament Tibial Avulsion Fracture in the Setting of Multiligament Knee Injury in Teenager by Miguel Quesado, Ana Sofia Esteves, Nuno Vieira da Silva, Tiago Costa, Nuno Ferreira, Hélder Nogueira

“…A 17-year-old male, injured in a motorcycle crash, was admitted to the Emergency Department and diagnosed with left knee PCL tibial avulsion fracture, lateral collateral ligament (LCL) femoral avulsion fracture, and patella fracture. …”
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Numerical Investigation on Head and Brain Injuries Caused by Windshield Impact on Riders Using Electric Self-Balancing Scooters by Shi Shang, Yanting Zheng, Ming Shen, Xianfeng Yang, Jun Xu

“…Numerical vehicle ESS crash scenarios are constructed by combining the finite element (FE) vehicle model and multibody scooter/rider models. …”
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Predicting the Collisions of Heavy Vehicle Drivers in Iran by Investigating the Effective Human Factors by Hossein Naderi, Habibollah Nassiri, Farnaz Zahedieh

“…Traffic collisions are one of the most important challenges threatening the general health of the world. Iran’s crash statistics demonstrate that approximately 16,500 people lose their lives every year due to road collisions. …”
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Analysis of Risk Bus Driver Characteristics and Research on Risk Level Evaluation Methods for Bus Drivers by Tongqiang Ding, Huijuan Yin, Zhiqiang Li, Xinyu He, Lili Zheng, Jianfeng Xi

“…Based on the research findings, the following observations were made: 1) The number of non-fault crashes is the most important risk feature influencing the occurrence of at-fault crashes; 2) Features related to crashes, violations, and alarms, as well as age, bus driving experience, driving experience, route length, and the number of stops, have a negative impact on the occurrence of at-fault crashes; 3) The study quantifies bus drivers into five risk levels, with higher levels indicating higher risk. …”
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Enhancing Mixed Traffic Flow Safety via Connected and Autonomous Vehicle Trajectory Planning with a Reinforcement Learning Approach by Yanqiu Cheng, Chenxi Chen, Xianbiao Hu, Kuanmin Chen, Qing Tang, Yang Song

“…This study presents a reinforcement learning modeling approach, named Monte Carlo tree search-based autonomous vehicle safety algorithm, or MCTS-AVS, to optimize the safety of mixed traffic flow, on a one-lane roadway with signalized intersection control. Crash potential index (CPI) is defined to quantitively measure the safety performance of the mixed traffic flow. …”
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Time to invest in cholera by Rebecca C. Stout, Nicholas Feasey, Marion Péchayre, Nicholas Thomson, Benson Z. Chilima

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The Importance of Exercise and General Mental Health on Prediction of Property-Damage-Only Accidents among Taxi Drivers in Tehran: A Study Using ANFIS-PSO and Regression Models by Ehsan Abbasi, Mansour Hadji Hosseinlou

“…The present study examined the effects of exercise and general health as human factors on the prediction of crash likelihood with the data collected from taxi drivers of Tehran. …”
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Detecting Subtle Cyberattacks on Adaptive Cruise Control Vehicles: A Machine Learning Approach by Tianyi Li, Mingfeng Shang, Shian Wang, Raphael Stern

“…While overt attacks that lead to collisions are more conspicuous, subtle attacks that slightly modify driving behaviors can cause widespread impacts, including increased congestion, fuel consumption, and crash risks without being easily detected. To address the detection of such attacks, we first present a traffic modeling framework for three types of potential cyberattacks: malicious manipulation of vehicle control commands, data poison attacks, and denial-of-service (DoS) attacks. …”
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Defense mechanism of SDN application layer against DDoS attack based on API call management by Yang WANG, Guangming TANG, Shuo WANG, Jiang CHU

“…Due to thelack of strict access control, identity authentication and abnormal call detection, attackers may develop malicious applications easily and then it leads to theabuse of the northbound interface API (application programming interface) accordingly.There are mainly two patterns of DDoS (distributed denial-of-service) attacks against application layer.1) malicious App bypass the security review of the northbound interface and make a large number of calls to some API in a short time, thus causing the controller to crash and paralyzing the whole network; 2) attackers take a legitimate SDN (software defined network) application as the target and make a large number of short-time calls to the specific API needed by the application, which makes the legitimate App unable to call the API normally.Compared with the first pattern, the second one is more subtle.Therefore, it’s necessary to distinguish whether the App is malicious or not, effectively clean the App running on the attacked controller, and redistribute the controller to the legitimate App.Based on the in-depth analysis of the development trend of the current northbound interface, the possible DDoS attack patterns were simulated and practiced.Then a DDoS defense mechanism for SDN application layer was proposed.This mechanism added an App management layer between SDN application layer and control layer.Through reputation management, initial review, mapping allocation, anomaly detection and identification migration of the App, the malicious App attack on SDN can be predicted and resisted.The proposal focused on pre-examination of malicious App before attacks occur, so as to avoid attacks.If the attack has already happened, the operation of cleaning and separating the legitimate App from the malicious App is triggered.Theoretical and experimental results show that the proposed mechanism can effectively avoid DDoS attacks in SDN application layer, and the algorithm runs efficiently.…”
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Evaluating Safety Issues for Taxi Transport Management by Kayvan Aghabayk, Sina Rejali, Seyed Alireza Samerei, Nirajan Shiwakoti

“…So, taxi drivers need appropriate support and training programs to improve safety and reduce the risk of crashes. Implementing different support and safety training programs requires an effective management system. …”
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Applying model-based recursive partitioning to improve pedestrian exposure models to support transportation safety analyses by Jakob Wiegand, Vikash Gayah

“…Pedestrians are at disproportionately high risk for injuries or fatalities in crashes with motor vehicles, highlighting the critical need to address their safety. …”
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Cellular Energy Absorbing TRIP-Steel/Mg-PSZ Composite: Honeycomb Structures Fabricated by a New Extrusion Powder Technology by Ulrich Martin, David Ehinger, Lutz Krüger, Stefan Martin, Thomas Mottitschka, Christian Weigelt, Christos G. Aneziris, Mathias Herrmann

“…Based on improved property-to-weight ratio such linear cellular structures will be of interest as crash absorbers or stiffened core materials for aerospace, railway, or automotive applications.…”
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