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Objective: Examine patterns and predictors of skill learning during multisession Enhanced rward oncentration and ttention earning (FOCAL+) training.
Background: FOCAL+ teaches teens to reduce the duration of off-road glances using real-time error learning. In a randomized controlled trial, teens with ADHD received five sessions of FOCAL+ training and demonstrated significant reductions in extended glances (>2-s) away from the roadway (i.e., long-glances) and a 40% reduced risk of a crash/near-crash event. Teens' improvement in limiting long-glances as assessed after each FOCAL+ training session has not been examined.
Method: Licensed teen (ages 16-19) drivers with ADHD ( = 152) were randomly assigned to five sessions of either FOCAL+ or modified standard driver training. Teens completed driving simulation assessments at baseline, after each training session, and 1 month and 6 months posttraining. Naturalistic driving was monitored for one year.
Results: FOCAL+ training produced a 53% maximal reduction in long-glances during postsession simulated driving. The number of sessions needed to achieve maximum performance varied across participants. However, after five FOCAL+ training sessions, number of long-glances was comparable irrespective of when teens achieved their maximum performance. The magnitude of reduction in long-glances predicted levels of long-glances during simulated driving at 1 month and 6 months posttraining but not naturalistic driving outcomes. FOCAL+ training provided the most benefit during training to teens who were younger and had less driving experience.
Conclusion: FOCAL+ training significantly reduces long-glances beginning at the 1st training session.
Application: Providing five FOCAL+ training sessions early on during teen driving may maximize benefit.
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http://dx.doi.org/10.1177/00187208241237863 | DOI Listing |
Angew Chem Int Ed Engl
September 2025
School of Chemistry, Engineering Research Center of Energy Storage Materials and Devices, Ministry of Education, National Innovation Platform (Center) for Industry-Education Integration of Energy Storage Technology, State Key Laboratory of Electrical Insulation and Power Equipment, Engineering Resea
Lithium metal batteries (LMBs) offer exceptional energy density and output voltage. However, their practical application remains hindered by sluggish ion transport and uncontrolled lithium dendrite formation, particularly under fast-charging conditions. Here, we report a facet-engineered anion-regulating separator based on zeolitic imidazolate framework-8 (ZIF-8) with preferentially crystal-exposed (110) facets.
View Article and Find Full Text PDFProteomics Clin Appl
September 2025
AIBioMed Research Group, Taipei Medical University, Taipei, Taiwan.
Background: Endometrial carcinoma (EC) represents a significant clinical challenge due to its pronounced molecular heterogeneity, directly influencing prognosis and therapeutic responses. Accurate classification of molecular subtypes (CNV-high, CNV-low, MSI-H, POLE) and precise tumor mutational burden (TMB) assessment is crucial for guiding personalized therapeutic interventions. Integrating proteomics data with advanced machine learning (ML) techniques offers a promising strategy for achieving precise, clinically actionable classification and biomarker discovery in EC.
View Article and Find Full Text PDFAndrology
September 2025
Department of Urology, Peking University First Hospital, Beijing, China.
Background: Non-obstructive azoospermia represents the most severe form of male infertility. The heterogeneous nature of focal spermatogenesis within the testes of non-obstructive azoospermia patients poses significant challenges for accurately predicting sperm retrieval rates.
Objectives: To develop a machine learning-based predictive model for estimating sperm retrieval rates in patients with non-obstructive azoospermia.
Aust J Rural Health
October 2025
Department of Rural Health, University of Newcastle, Tamworth, New South Wales, Australia.
Aims: Workforce maldistribution is a challenge to the equitable provision of healthcare in Australia. This Commentary details how a multi-university, large-scale, and growing data asset is positioned to contribute strategically and operationally to addressing national workforce priorities.
Context: The Nursing and Allied Health Graduate Outcome Tracking (NAHGOT) study is a prospective longitudinal research project with a commitment to nationwide geographical coverage.
ACS Appl Mater Interfaces
September 2025
College of Engineering and Applied Sciences, Nanjing University, Nanjing 210093, P. R. China.
Exhaled breath analysis offers noninvasive, early lung cancer detection via volatile organic compound (VOC) biomarkers, surpassing blood-based methods. Surface-enhanced Raman spectroscopy (SERS) is ideal for this purpose, combining molecular fingerprint specificity with single-molecule sensitivity. However, conventional SERS substrates face a fundamental limitation: while porous materials such as metal-organic frameworks effectively adsorb VOCs through their subnanometer pores (0.
View Article and Find Full Text PDF