These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

219 related articles for article (PubMed ID: 30618686)

  • 41. STUDY OF DRIVER'S ATTITUDES TOWARDS ROAD SAFETY IN GEORGIA.
    Chkhirodze G; Chkhaberidze N; Pitskhelauri N; Tskaroveli G; Chikhladze N
    One Health Risk Manag; 2023 Mar; 4(2):46-50. PubMed ID: 37476033
    [TBL] [Abstract][Full Text] [Related]  

  • 42. The effects of cyclists present at rural intersections on speed behavior and workload of car drivers: a driving simulator study.
    Duivenvoorden K; Hogema J; Hagenzieker M; Wegman F
    Traffic Inj Prev; 2015; 16():254-9. PubMed ID: 25000155
    [TBL] [Abstract][Full Text] [Related]  

  • 43. Middle-aged Drivers' subjective categorization for combined alignments on mountainous freeways and their speed choices.
    Wang F; Chen Y; Guo J; Yu C; Stevenson M; Zhao H
    Accid Anal Prev; 2019 Jun; 127():80-86. PubMed ID: 30836294
    [TBL] [Abstract][Full Text] [Related]  

  • 44. How eye movement and driving performance vary before, during, and after entering a long expressway tunnel: considering the differences of novice and experienced drivers under daytime and nighttime conditions.
    Wang Y; Wang L; Wang C; Zhao Y
    Springerplus; 2016; 5():538. PubMed ID: 27186502
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Quantifying visual road environment to establish a speeding prediction model: An examination using naturalistic driving data.
    Yu B; Chen Y; Bao S
    Accid Anal Prev; 2019 Aug; 129():289-298. PubMed ID: 31177040
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Neurophysiological mental fatigue assessment for developing user-centered Artificial Intelligence as a solution for autonomous driving.
    Giorgi A; Ronca V; Vozzi A; Aricò P; Borghini G; Capotorto R; Tamborra L; Simonetti I; Sportiello S; Petrelli M; Polidori C; Varga R; van Gasteren M; Barua A; Ahmed MU; Babiloni F; Di Flumeri G
    Front Neurorobot; 2023; 17():1240933. PubMed ID: 38107403
    [TBL] [Abstract][Full Text] [Related]  

  • 47. A novel driver hazard perception sensitivity model based on drivers' characteristics: A simulator study.
    Asadamraji M; Saffarzadeh M; Ross V; Borujerdian A; Ferdosi T; Sheikholeslami S
    Traffic Inj Prev; 2019; 20(5):492-497. PubMed ID: 31180727
    [No Abstract]   [Full Text] [Related]  

  • 48. Mobile Phone Use in a Car-Following Situation: Impact on Time Headway and Effectiveness of Driver's Rear-End Risk Compensation Behavior via a Driving Simulator Study.
    Chen Y; Fu R; Xu Q; Yuan W
    Int J Environ Res Public Health; 2020 Feb; 17(4):. PubMed ID: 32092914
    [TBL] [Abstract][Full Text] [Related]  

  • 49. How Neurophysiological Measures Can be Used to Enhance the Evaluation of Remote Tower Solutions.
    Aricò P; Reynal M; Di Flumeri G; Borghini G; Sciaraffa N; Imbert JP; Hurter C; Terenzi M; Ferreira A; Pozzi S; Betti V; Marucci M; Telea AC; Babiloni F
    Front Hum Neurosci; 2019; 13():303. PubMed ID: 31551735
    [TBL] [Abstract][Full Text] [Related]  

  • 50. EEG-Based Detection of Braking Intention Under Different Car Driving Conditions.
    Hernández LG; Mozos OM; Ferrández JM; Antelis JM
    Front Neuroinform; 2018; 12():29. PubMed ID: 29910722
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Assessment of mental fatigue during car driving by using high resolution EEG activity and neurophysiologic indices.
    Borghini G; Vecchiato G; Toppi J; Astolfi L; Maglione A; Isabella R; Caltagirone C; Kong W; Wei D; Zhou Z; Polidori L; Vitiello S; Babiloni F
    Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():6442-5. PubMed ID: 23367404
    [TBL] [Abstract][Full Text] [Related]  

  • 52. A context-aware driver model for determining recommended speed in blind intersection situations.
    Saito Y; Sugaya F; Inoue S; Raksincharoensak P; Inoue H
    Accid Anal Prev; 2021 Dec; 163():106447. PubMed ID: 34673382
    [TBL] [Abstract][Full Text] [Related]  

  • 53. A passive brain-computer interface application for the mental workload assessment on professional air traffic controllers during realistic air traffic control tasks.
    Aricò P; Borghini G; Di Flumeri G; Colosimo A; Pozzi S; Babiloni F
    Prog Brain Res; 2016; 228():295-328. PubMed ID: 27590973
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Predicting Driver's mental workload using physiological signals: A functional data analysis approach.
    Lee C; Shin M; Eniyandunmo D; Anwar A; Kim E; Kim K; Yoo JK; Lee C
    Appl Ergon; 2024 Jul; 118():104274. PubMed ID: 38521001
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Frequency and Quality of Exposure to Adaptive Cruise Control and Impact on Trust, Workload, and Mental Models.
    Pai G; Zhang F; Hungund AP; Pamarthi J; Roberts SC; Horrey WJ; Pradhan AK
    Accid Anal Prev; 2023 Sep; 190():107130. PubMed ID: 37336048
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Vision-Based Driver's Cognitive Load Classification Considering Eye Movement Using Machine Learning and Deep Learning.
    Rahman H; Ahmed MU; Barua S; Funk P; Begum S
    Sensors (Basel); 2021 Nov; 21(23):. PubMed ID: 34884021
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Analysis of drink-driving behavior: Considering the subjective and objective factors of drivers.
    Jie-Ling J; Yuan-Chang D
    Traffic Inj Prev; 2021; 22(3):183-188. PubMed ID: 33709857
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Mental workload and driving.
    Paxion J; Galy E; Berthelon C
    Front Psychol; 2014; 5():1344. PubMed ID: 25520678
    [TBL] [Abstract][Full Text] [Related]  

  • 59. The Effects of the Driver's Mental State and Passenger Compartment Conditions on Driving Performance and Driving Stress.
    Magaña VC; Scherz WD; Seepold R; Madrid NM; Pañeda XG; Garcia R
    Sensors (Basel); 2020 Sep; 20(18):. PubMed ID: 32942684
    [TBL] [Abstract][Full Text] [Related]  

  • 60. A parametric duration model of the reaction times of drivers distracted by mobile phone conversations.
    Haque MM; Washington S
    Accid Anal Prev; 2014 Jan; 62():42-53. PubMed ID: 24129320
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.