Results 51 to 60 of about 41,200 (260)
In order to investigate the impact of various highway traffic prohibition and warning signs on four-lane highways in flat regions, electroencephalography (EEG) data from drivers were collected through field experiments.
Dongpu Ren +4 more
doaj +1 more source
PENGENALAN RAMBU LALU LINTAS DENGAN MENGGUNAKAN FUZZY INFERENCE SYSTEM (FIS) MAMDANI
Rambu-rambu lalulintas merupakan bagian dariperlengkapan jalan yang memuat lambang, huruf, angka, kalimat atau gabungan diantaranya, yang berfungsi untukperingatan atau pemberitahuan bagi pemakai jalan.
Syafrika Deni Rizki, Tri Monarita Johan
doaj +1 more source
Cracking the Code: Genotype–Phenotype Correlation Models in Sarcoglycanopathies
ABSTRACT Objective Sarcoglycanopathies are among the most severe limb‐girdle muscular dystrophies (LGMD), though milder presentations have been described. These diseases are primarily caused by missense variants, but the limited predictability of their effect on protein maturation, complex formation, and transport has hindered reliable genotype ...
Leonela Luce +72 more
wiley +1 more source
Traffic signs comprehension study
Abstract Current research work investigates road user’s comprehension of different traffic control devices. Sample demographics were taken into consideration such as age, gender, and educational background. Twenty regulatory and warning signs were examined in this study.
Ahmed S. Abduljabbar +2 more
openaire +1 more source
Innovating Aircraft Repair Processes: The Role of Digitalization in Sustainability
This research explores how digitalization—by storing detailed non‐destructive testing data in structured DICONDE databases and creating a standard data model of the component—innovates aviation maintenance and repair processes. Coupled with a developed state‐based simulation model, it enables data‐driven, sustainable repair strategies that reduce waste,
Johanna Aigner +3 more
wiley +1 more source
Mixed Vertical-and-Horizontal-Text Traffic Sign Detection and Recognition for Street-Level Scene
Much effort has been dedicated to text-based traffic sign detection and recognition. However, there are still two problems. First, unlike English traffic signs with only horizontal text, Chinese traffic signs have both horizontal and vertical text.
Jiefeng Guo, Rongxuan You, Lianfen Huang
doaj +1 more source
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz +3 more
wiley +1 more source
We introduce a nucleic acid nanoparticle (NANP) platform designed to be rrecognized by the human innate immune system in a regulated manner. By changing chemical composition while maintaining constant architectural parameters, we identify key determinants of immunorecognition enabling the rational design of NANPs with tunable immune activation profiles
Martin Panigaj +21 more
wiley +1 more source
A Cascaded R-CNN With Multiscale Attention and Imbalanced Samples for Traffic Sign Detection
In recent years, the deep learning is applied to the field of traffic sign detection methods which achieves excellent performance. However, there are two main challenges in traffic sign detection to be solve urgently. For one thing, some traffic signs of
Jianming Zhang +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

