Rui Lucena
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Rui Lucena has a total of 12 co-authors. Here are the top co-authors by number of shared publications:
- Paula Simões
Nova University of Lisbon
4 shared publications - Nuno Almeida
Military Academy Research Center - Military University Institute (CINAMIL) and MRLab- Military Readiness Lab-Portugal and CIPER – Faculdade de Motricidade Humana, Universidade de Lisboa
3 shared publications - Dariusz Jamro
Department of Physical Education and Sport, General Tadeusz Kosciuszko Military University of Land Forces, 51-147 Wroclaw, Poland
1 shared publication - Francisco Abreu1 shared publication
- Grzegorz Zurek
Department of Biological Principles of Physical Activity, Wroclaw University of Health and Sport Sciences, 51-612 Wroclaw, Poland
1 shared publication - John Avery Dewey
Department of Psychological Science, University of North Georgia, Dahlonega, GA 30597, USA
1 shared publication
Latest Publications
- 3 July 2026
- Published by Springer Nature
- p. 115-131
The Influence of Fatigue on Decision-Making in Military Context
- 3 July 2026
- Published by Springer Nature
- p. 115-131
The Influence of Fatigue on Decision-Making in Military Context
- Open Access
- 27 October 2025
- Published by MDPI AG in Brain Sciences
- Vol. 15 (11) , 1150
Cognitive Flexibility Predicts Live-Fire Rifle Marksmanship in Airborne Cadets: A Pilot Study
Background: Executive functions may underpin performance in live-fire tasks, whereas evidence for global physical fitness is mixed. We quantified the associations between cognitive flexibility (CF), inhibitory control (IC), overall physical fitness, and rifle marksmanship in cadets, and derived a parsimonious predictive model. Methods: Twenty second-year male airborne cadets (mean age 21.7 ± 2.2 years) completed a live-fire Basic Rifle Marksmanship (BRM) qualification (40 targets at 50–300 m); the Color Trails Test (CTT-1 and CTT-2; interference index) to index CF and processing speed; a stop-signal–style task (CogniFit) to assess IC indexed by NO-GO accuracy and GO-trial response time; and the Army Combat Fitness Test (ACFT). Associations were examined with Spearman correlations. Multiple linear regression with backward elimination and Bayesian model comparison evaluated predictive models. Results: Faster CTT-2 performance was associated with higher BRM scores (ρ = −0.48, p = 0.032), with a similar association for CTT-1 (ρ = −0.46, p = 0.042). The best-fitting regression model included CTT-2 time and IC–accuracy (adjusted R2 = 0.345; RMSE = 7.03), with CTT-2 time the only significant predictor of BRM (b = −0.330, p = 0.006). Bayesian model comparison independently favored a parsimonious CTT-2–only model (P(M|data) = 0.222; BFM = 5.41; BF10 = 1.00; R2 = 0.352). ACFT scores were not significantly associated with BRM. Conclusions: CF and processing speed are key correlates of live–fire rifle marksmanship in cadets, suggesting value in integrating executive–function elements into marksmanship training. Replication in larger cohorts is warranted.
- 27 October 2025
- Published by MDPI AG in Brain Sciences
- Vol. 15 (11) , 1150
Open AccessCognitive Flexibility Predicts Live-Fire Rifle Marksmanship in Airborne Cadets: A Pilot Study
Background: Executive functions may underpin performance in live-fire tasks, whereas evidence for global physical fitness is mixed. We quantified the associations between cognitive flexibility (CF), inhibitory control (IC), overall physical fitness, and rifle marksmanship in cadets, and derived a parsimonious predictive model. Methods: Twenty second-year male airborne cadets (mean age 21.7 ± 2.2 years) completed a live-fire Basic Rifle Marksmanship (BRM) qualification (40 targets at 50–300 m); the Color Trails Test (CTT-1 and CTT-2; interference index) to index CF and processing speed; a stop-signal–style task (CogniFit) to assess IC indexed by NO-GO accuracy and GO-trial response time; and the Army Combat Fitness Test (ACFT). Associations were examined with Spearman correlations. Multiple linear regression with backward elimination and Bayesian model comparison evaluated predictive models. Results: Faster CTT-2 performance was associated with higher BRM scores (ρ = −0.48, p = 0.032), with a similar association for CTT-1 (ρ = −0.46, p = 0.042). The best-fitting regression model included CTT-2 time and IC–accuracy (adjusted R2 = 0.345; RMSE = 7.03), with CTT-2 time the only significant predictor of BRM (b = −0.330, p = 0.006). Bayesian model comparison independently favored a parsimonious CTT-2–only model (P(M|data) = 0.222; BFM = 5.41; BF10 = 1.00; R2 = 0.352). ACFT scores were not significantly associated with BRM. Conclusions: CF and processing speed are key correlates of live–fire rifle marksmanship in cadets, suggesting value in integrating executive–function elements into marksmanship training. Replication in larger cohorts is warranted.
- 28 May 2025
- Published by Springer Nature
- p. 105-121
Physiological Impact of Personal Protective Equipment in Distinct Thermal Environments
- 28 May 2025
- Published by Springer Nature
- p. 105-121
Physiological Impact of Personal Protective Equipment in Distinct Thermal Environments
- 31 July 2024
- Published by Springer Nature
- p. 131-143
Metabolic Cost of Load Carriage in a Special Forces Team – A Non-parametric Approach
- 31 July 2024
- Published by Springer Nature
- p. 131-143
Metabolic Cost of Load Carriage in a Special Forces Team – A Non-parametric Approach
- 6 July 2024
- Published by Springer Nature
- p. 147-156
Exoskeletons Development: Military Load Effort Analysis in an Operational Environment
- 6 July 2024
- Published by Springer Nature
- p. 147-156
Exoskeletons Development: Military Load Effort Analysis in an Operational Environment