Results 131 to 140 of about 3,731,861 (383)
Model Development of U-turn Capacity Using Simulation and Empirical Approaches
In this study, both empirical and simulation approaches were used to estimate capacity of U-turn movement at median openings of divided arterials. The empirical approach using regression analysis was adopted to estimate the best form of the predictive ...
Hussein Kariem Mohammed
doaj
A multifunctional nanodiamond platform enables pH‐triggered Diazoxide (DZX) delivery and quantum sensing of subcellular radical dynamics in triple‐negative breast cancer cells. Diamond relaxometry revealed reduced lysosomal radicals during DZX‐induced mitochondrial radical elevation, providing insights into redox modulation and organelle‐ resolved ...
Kaiqui Wu +8 more
wiley +1 more source
This study explores the benefits of metasurfaces made from functional materials, highlighting their ability to be adapted and improved for various high‐frequency applications, including communications and sensing. It first demonstrates the potential of these functional material‐based metasurfaces to advance the field of sub‐THz perceptive networks ...
Yat‐Sing To +5 more
wiley +1 more source
Traffic engineering towards the assurance of quality in IP networks: trends and perspectives
The need for establishing bandwidth guaranteed paths in IP networks and the requirement for making optimal use of the available resources becomes more and more crucial due to the significant development of data-intensive multimedia applications.
Paraskevi Fafali +3 more
doaj
Ice Lithography: Recent Progress Opens a New Frontier of Opportunities
This review focuses on recent advancements in ice lithography, including breakthroughs in compatible precursors and substrates, processes and applications, hardware, and digital methods. Moreover, it offers a roadmap to uncover innovation opportunities for ice lithography in fields such as biological, nanoengineering and microsystems, biophysics and ...
Bingdong Chang +9 more
wiley +1 more source
Spatiotemporal Demand Prediction for Bike Sharing Based on WT-ConvLSTM
To accurately predict the spatiotemporal demand for bike sharing, a hybrid model integrating wavelet transform (WT), long short-term memory (LSTM), and convolutional neural network (CNN) was developed, referred to as the WT-convolutional LSTM (ConvLSTM ...
Wenyun Tang +4 more
doaj +1 more source
Guided by the golden ratio, a class of aperiodic architected metamaterials is introduced to address the intrinsic trade‐off between strength and toughness. By unifying local geometric heterogeneity with global order, the golden‐ratio‐guided aperiodic architecture promotes spatial delocalization of damage tolerence regions, leading to more tortuous ...
Junjie Deng +9 more
wiley +1 more source
Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha +18 more
wiley +1 more source
The prediction of operating speed plays a crucial role in road design and safety assessment, especially on complex urban expressway interchange ramps. This task is challenging due to various influences like road conditions, traffic dynamics, and driver ...
Tingyu Liu +4 more
doaj +1 more source
Efficient Traffic Engineering in an NFV Enabled IoT System. [PDF]
Nguyen TT, Pham TM.
europepmc +1 more source

