Results 131 to 140 of about 111,957 (308)

Synergetic theory for jamming transition in traffic flow

open access: yes, 2000
The theory of a jamming transition is proposed for the homogeneous car-following model within the framework of Lorenz scheme. We represent a jamming transition as a result of the spontaneous deviations of headway and velocity that is caused by the ...
Khomenko, A. V., Olemskoi, A. I.
core   +1 more source

Self‐Powered Bearing Sensing and Real‐Time Fault Diagnosis Enabled by Non‐Invasive Triboelectric Sensors and Edge AI Acceleration

open access: yesAdvanced Science, EarlyView.
This study achieves the synergistic integration of self‐powered sensing and edge AI acceleration to establish a real‐time fault diagnosis system. The proposed TENG‐based self‐powered bearing sensor (NSE‐TBS) and FPGA‐accelerated edge AI framework fundamentally break through the inherent limitations of conventional monitoring systems, including complex ...
Kehui Zhu   +7 more
wiley   +1 more source

Automation of Surgical Workflow Recognition: Unveiling the Surgical Instrument Kinematics that Underly Robot‐Assisted Prostatectomy Procedures

open access: yesAdvanced Intelligent Discovery, EarlyView.
Automated procedural analysis is recognized as one of the major game changers for robotic surgery. Meaning digital analysis needs to replace the manual assessments that set todays standard. Mechanical robotic‐instrument tracking enables the derivation of quantitative kinematic metrics that support behavior‐based workflow segmentation into distinct ...
Kateryna Pirkovets   +4 more
wiley   +1 more source

Detection of Emergency Braking Intention Based on Pedal-Switching Process

open access: yesIEEE Access
The driver’s reaction time and the brake actuator response time during emergency braking play a crucial role in braking distance. Detecting the driver’s braking intention and reducing actuator reaction time can enhance the safety advantages
Chuyong Xu   +4 more
doaj   +1 more source

Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning

open access: yesAdvanced Intelligent Systems, EarlyView.
A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang   +6 more
wiley   +1 more source

Experiment Research and Design of a New Wet Type Mechanical Joint Brake System Applied to Long Stroke

open access: yesJixie chuandong, 2015
In order to solve the problems of long stroke mechanical joint brake system difficulty in design,manufacturing and repair costs are high,a new wet brake in long stroke mechanical joint brake system is introduced,and the expressions of key design index of
Yin Xiaoqing
doaj  

Multi‐Omic Profiling Reveals Immune Cell Priming Signature Linked to Lupus Prognosis

open access: yesArthritis &Rheumatology, EarlyView.
Objective Systemic lupus erythematosus (SLE) is a multiorgan disease with widespread immune dysregulation and significant unmet clinical need. Blood‐based gene expression studies have advanced our understanding of SLE pathogenesis but may overlook critical tissue‐specific mechanisms that drive disease heterogeneity and progression.
Michael A. Smith   +23 more
wiley   +1 more source

Intravenous lanadelumab for the treatment of moderately ill COVID‐19 patients

open access: yesBritish Journal of Clinical Pharmacology, EarlyView.
Aims Kallikrein‐kinin system (KKS) dysregulation is hypothesized to play a pathogenetic role in COVID‐19‐associated pulmonary oedema. To investigate the efficacy and safety of intravenous lanadelumab, a monoclonal antibody that inhibits plasma kallikrein, in COVID‐19, we conducted a phase 2, open‐label, randomized‐controlled, proof‐of‐concept ...
Job J. Engel   +12 more
wiley   +1 more source

Targeting neutrophil extracellular traps in metabolic and immune niche: Nanomaterials for diabetes tissue regeneration

open access: yesBMEMat, EarlyView.
The effects of NETs on regeneration of various diabetic tissues, and strategies targeting NETs for diabetes tissue regeneration. In the diabetic environment, NETs undergo complex metabolic and immune reprogramming, leading to dynamic changes in antibacterial and proinflammatory functions, and affecting regeneration of multiple systemic tissues.
Xinyi Jiang   +6 more
wiley   +1 more source

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