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Keywords = longitudinal dynamics control

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31 pages, 8935 KB  
Article
Dopaminergic Degeneration Differentially Modulates Primary Motor Cortex Activity and Motor Behavior in Hemiparkinsonian Rats
by Suelen L. Boschen, Julian Seethaler, Shaohua Wang, Wendy D. Lujan, Jodi L. Silvernail, Launia J. White, Michael G. Heckman, Rickey E. Carter, Su-Youne Chang and J. Luis Lujan
Brain Sci. 2025, 15(10), 1123; https://doi.org/10.3390/brainsci15101123 (registering DOI) - 18 Oct 2025
Abstract
Background/Goal: Parkinson’s disease (PD) disrupts dopaminergic transmission, leading to motor deficits and altered activity in the primary motor cortex (M1). While M1 modulation is critical for motor control, its response to dopaminergic degeneration and treatment remains unclear. This study aimed to characterize M1 [...] Read more.
Background/Goal: Parkinson’s disease (PD) disrupts dopaminergic transmission, leading to motor deficits and altered activity in the primary motor cortex (M1). While M1 modulation is critical for motor control, its response to dopaminergic degeneration and treatment remains unclear. This study aimed to characterize M1 neuronal activity and motor behavior in hemiparkinsonian rats using in vivo calcium imaging across naïve, lesioned, and levodopa-treated states. Methods: Thirteen Sprague Dawley rats were injected with GCaMP6f in the M1 and implanted with a GRIN lens and guide cannula targeting the medial forebrain bundle. Calcium imaging and motor behavior were assessed longitudinally using a single pellet reaching test (SPRT) before and after unilateral 6-hydroxydopamine (6-OHDA) lesioning and subsequent levodopa/carbidopa treatment. Dopaminergic lesion severity was quantified via tyrosine hydroxylase immunohistochemistry. Calcium event frequency and influx were analyzed with CNMF-E and statistical modeling. Results: Levodopa treatment improved fine motor performance as shown by a significant reduction in grasp errors (mean difference: −8.91, 95% CI: −16.66 to −1.16, p = 0.031) and increased reaching duration (mean difference: 4.13, 95% CI: 0.94 to 7.32, p = 0.019) compared to the lesioned state. M1 calcium activity showed modulation dependent on lesion severity: low-lesion rats exhibited reduced event frequency (mean difference: 0.04 Hz, 95% CI: 0.001 to 0.08, p = 0.045) and increased influx post-lesion (mean difference: −0.20 z·s, 95% CI: −0.38 to −0.02, p = 0.038), while high-lesion rats showed increased influx only after levodopa treatment (mean difference: −0.34 z·s, 95% CI: −0.52 to −0.16, p = 0.003). Correlation analyses revealed that calcium influx, but not frequency, was negatively correlated with lesion severity during levodopa treatment (Spearman r = −0.857, p = 0.024). Conclusion: M1 neuronal activity appears to be differentially modulated by dopaminergic degeneration and levodopa treatment in a lesion-dependent manner. These preliminary findings suggest dynamic cortical responses in PD and support the utility of calcium imaging for monitoring circuit-level changes in disease and therapy. Further research with larger cohorts and complementary methodologies will be necessary to validate and extend these observations. Full article
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12 pages, 347 KB  
Article
The Impact of Ursodeoxycholic Acid on Fetal Cardiac Function in Women with Gestational Diabetes Mellitus: A Randomized Controlled Study (GUARDS Trial)
by Ana Maria Company Calabuig, Jose Eliseo Blanco Carnero, Christos Chatzakis, Catherine Williamson, Kypros H. Nicolaides, Marietta Charakida and Catalina De Paco Matallana
J. Clin. Med. 2025, 14(20), 7366; https://doi.org/10.3390/jcm14207366 - 17 Oct 2025
Abstract
Background: Gestational diabetes mellitus (GDM) is associated with subclinical alterations in fetal cardiac morphology and function. Ursodeoxycholic acid (UDCA), widely used in pregnancy for intrahepatic cholestasis, has demonstrated cardioprotective properties in experimental fetal models, preventing conduction abnormalities and improving myocardial function. Whether UDCA [...] Read more.
Background: Gestational diabetes mellitus (GDM) is associated with subclinical alterations in fetal cardiac morphology and function. Ursodeoxycholic acid (UDCA), widely used in pregnancy for intrahepatic cholestasis, has demonstrated cardioprotective properties in experimental fetal models, preventing conduction abnormalities and improving myocardial function. Whether UDCA modifies fetal or neonatal cardiac adaptation in GDM pregnancies has not been previously investigated. The objective was to evaluate the effect of ursodeoxycholic acid (UDCA) on fetal and neonatal cardiac function in pregnancies complicated by gestational diabetes mellitus (GDM). Methods: In this randomized, placebo-controlled study, 113 women with GDM were enrolled, of whom 56 received UDCA and 57 the placebo. After measurement of maternal blood UDCA concentrations, 43 participants in the treatment group had levels ≥0.5 µmol/L and were included in the per-protocol analysis. Echocardiographic and Doppler-derived cardiac indices were assessed at baseline, 36 weeks’ gestation, and postpartum. Comparisons were performed using univariable tests and mixed-effects multivariable models accounting for time and treatment. Results: In the treatment group, compared to the placebo group, there were no significant differences in cardiac indices at 36 weeks’ gestation or postpartum when assessed individually. However, in the mixed-effects longitudinal analysis, a significant treatment-by-time interaction was observed. Specifically, in the postpartum period, mitral A-wave velocity (MV-A) was higher in the treatment group compared to that under the placebo (9.58, 95% CI 2.29–16.87; p = 0.010), reflecting a more pronounced increase in the atrial contribution to left ventricular filling over time. Similarly, aortic peak velocity (Ao_Vmáx) was significantly higher in the treatment group compared to that under the placebo in the postpartum period (7.97, 95% CI 0.19–15.75; p = 0.045), indicating a greater augmentation in left ventricular outflow dynamics. Conclusions: In pregnancies complicated by GDM, UDCA did not lead to significant cross-sectional differences in fetal or neonatal cardiac indices at 36 weeks or postpartum. However, longitudinal modeling indicated that UDCA was associated with a greater increase in the atrial contribution to ventricular filling (MV-A) and aortic peak velocity (Ao_Vmáx) in the postpartum period compared to that under the placebo. These findings suggest that while UDCA does not broadly alter cardiac function, it may modulate specific aspects of diastolic filling and systolic outflow dynamics during late gestation and early neonatal adaptation. Full article
(This article belongs to the Section Obstetrics & Gynecology)
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28 pages, 3488 KB  
Article
A Cooperative Longitudinal-Lateral Platoon Control Framework with Dynamic Lane Management for Unmanned Ground Vehicles Based on A Dual-Stage Multi-Objective MPC Approach
by Shunchao Wang, Zhigang Wu and Yonghui Su
Drones 2025, 9(10), 711; https://doi.org/10.3390/drones9100711 - 14 Oct 2025
Viewed by 296
Abstract
Cooperative longitudinal–lateral trajectory optimization is essential for unmanned ground vehicle (UGV) platoons to improve safety, capacity, and efficiency. However, existing approaches often face unstable formation under low penetration rates and rely on fragmented control strategies. This study develops a cooperative longitudinal–lateral trajectory tracking [...] Read more.
Cooperative longitudinal–lateral trajectory optimization is essential for unmanned ground vehicle (UGV) platoons to improve safety, capacity, and efficiency. However, existing approaches often face unstable formation under low penetration rates and rely on fragmented control strategies. This study develops a cooperative longitudinal–lateral trajectory tracking framework tailored for UGV platooning, embedded in a hierarchical control architecture. Dual-stage multi-objective Model Predictive Control (MPC) is proposed, decomposing trajectory planning into pursuit and platooning phases. Each stage employs adaptive weighting to balance platoon efficiency and traffic performance across varying operating conditions. Furthermore, a traffic-aware organizational module is designed to enable the dynamic opening of UGV-dedicated lanes, ensuring that platoon formation remains compatible with overall traffic flow. Simulation results demonstrate that the adaptive weighting strategy reduces the platoon formation time by 41.6% with only a 1.29% reduction in the average traffic speed. In addition, the dynamic lane management mechanism yields longer and more stable UGV platoons under different penetration levels, particularly in high-flow environments. The proposed cooperative framework provides a scalable solution for advancing UGV platoon control and demonstrates the potential of unmanned systems in future intelligent transportation applications. Full article
(This article belongs to the Section Innovative Urban Mobility)
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13 pages, 2410 KB  
Article
Static and Dynamic Torque in the Modulation of the Caudal Vertebral Growth
by Xue-Cheng Liu, Robert Rizza, John Thometz, Andrew Allen, Derek Rosol, Channing Tassone, Paula North and Eric Jensen
Osteology 2025, 5(4), 31; https://doi.org/10.3390/osteology5040031 - 14 Oct 2025
Viewed by 161
Abstract
Background/Objective: Major research demonstrates that longitudinal loading affects the vertebral growth and disc wedging in the scoliotic animal models; however, there is a scarcity of research on the effect of torque on the vertebral growth. Comparison of the effect of static and [...] Read more.
Background/Objective: Major research demonstrates that longitudinal loading affects the vertebral growth and disc wedging in the scoliotic animal models; however, there is a scarcity of research on the effect of torque on the vertebral growth. Comparison of the effect of static and dynamic torque on growth is also lacking. The aims of this study were to assess the morphological, histological, and immunohistochemical changes in caudal vertebrae of rats under controlled, static, and dynamic torque. Methods: Adjacent vertebral bodies of female Sprague-Dawley rats were loaded with a torque for 4 weeks. Six rats received a static torque of 1.25 Nm while 6 additional rats received a dynamic torque (2.4 Nm, 1.0 Hz for 15 min/time, 3 times/week). An additional 6 rats formed the control group and received no torque at all. All the rats were later sacrificed, and the tails for histological analysis, immunocytochemistry, and X-rays were obtained. Results: Among the three groups, there were significant differences in right side disc height and average disc height on the proximal vertebrae space in the coronal plane of the X-ray. There were significant differences in the physeal height between static torque and control, or between dynamic torque and control (p < 0.05). The proliferating cell nuclear antigens were detected with variable percentages in samples among the three physeal zones for all groups. Conclusions: Both static and dynamic torque induced asymmetric reduction in the physis and intervertebral disc, which may help to explain the development and vertebral tethering of scoliosis. Full article
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14 pages, 4396 KB  
Article
Experimental Study on AE Response and Mechanical Behavior of Red Sandstone with Double Prefabricated Circular Holes Under Uniaxial Compression
by Ansen Gao, Jie Fu, Kuan Jiang, Chengzhi Qi, Sunhao Zheng, Yanjie Feng, Xiaoyu Ma and Zhen Wei
Processes 2025, 13(10), 3270; https://doi.org/10.3390/pr13103270 - 14 Oct 2025
Viewed by 144
Abstract
Natural rock materials, containing micro-cracks and pore defects, significantly alter their mechanical behavior. This study investigated fracture interactions of red sandstone containing double close-round holes (diameter: 10 mm; bridge angle: 30°, 45°, 60°, 90°) using acoustic emission (AE) monitoring and the discrete element [...] Read more.
Natural rock materials, containing micro-cracks and pore defects, significantly alter their mechanical behavior. This study investigated fracture interactions of red sandstone containing double close-round holes (diameter: 10 mm; bridge angle: 30°, 45°, 60°, 90°) using acoustic emission (AE) monitoring and the discrete element simulations method (DEM), which was a novel methodology for revealing dynamic failure mechanisms. The uniaxial compression tests showed that hole geometry critically controlled failure modes: specimens with 0° bridge exhibited elastic–brittle failure with intense AE energy releases and large fractures, while 45° arrangements displayed elastic–plastic behaviors with stable AE signal responses until collapse. The quantitative AE analysis revealed that the fracture-type coefficient k had a distinct temporal clustering characteristic, demonstrating the spatiotemporal synchronization of tensile and shear crack initiation and propagation. Furthermore, numerical simulations identified a critical stress redistribution phenomenon, that axial compressive force chains concentrated along the loading axis, forming continuous longitudinal compression zones, while radial tensile dispersion dominated hole peripheries. Crucially, specimens with 45° and 90° bridges induced prominently symmetric tensile fractures (85° to horizontal direction) and shear-dominated failure near junctions. These findings can advance damage prediction in discontinuous geological media and offer direct insights for optimizing excavation sequences and support design in cavern engineering. Full article
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21 pages, 1549 KB  
Article
Analyzing Financial Behavior in Undergraduate Students in Economics, Administration and Accounting Sciences
by Isabel Mendoza-Ávila, Alejandro Vega-Muñoz, Guido Salazar-Sepúlveda, Nicolás Contreras-Barraza and Dante Castillo
J. Risk Financial Manag. 2025, 18(10), 581; https://doi.org/10.3390/jrfm18100581 - 14 Oct 2025
Viewed by 311
Abstract
This study examines the financial behavior of university students in Economics, Business Administration, and Accounting in Tegucigalpa, Honduras, using the FB–13 instrument. Exploratory and confirmatory factor analyses validate a three-dimensional structure: (1) financial planning and control, (2) savings and financial preparation, and (3) [...] Read more.
This study examines the financial behavior of university students in Economics, Business Administration, and Accounting in Tegucigalpa, Honduras, using the FB–13 instrument. Exploratory and confirmatory factor analyses validate a three-dimensional structure: (1) financial planning and control, (2) savings and financial preparation, and (3) fulfillment of obligations, with high internal consistency (α = 0.915), supporting its psychometric robustness in Latin American academic contexts. Based on a sample of 714 students with diversity in gender, age, work experience, and parental status, the analyses confirmed that the FB–13 model best fits a three-factor structure. Significant correlations were identified between financial behavior and experiential variables such as age, work experience, and parenthood, while traditional sociodemographic attributes such as gender, residence, marital status, employment, and educational level showed limited associations. These findings suggest that personal experiences have a greater influence on the configuration of financial practices than conventional demographic categories. The study acknowledges limitations related to cross-sectional design, non-probabilistic sampling, and self-reported data, yet these do not diminish its contributions. By validating the FB–13 in Honduras, the research offers comparative evidence and promotes cultural diversity in financial behavior literature. Future research should move toward longitudinal and qualitative studies that explore the role of family dynamics, work contexts, and personal aspirations in responsible financial behaviors. Full article
(This article belongs to the Special Issue Behavioral Influences on Financial Decisions)
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8 pages, 371 KB  
Article
Effects of Agility Training with a Light-Based System on Balance and Functional Performance in Individuals with Parkinson’s Disease
by Thelma Rut Holmarsdottir, Andri Thor Sigurgeirsson and Atli Agustsson
Healthcare 2025, 13(20), 2559; https://doi.org/10.3390/healthcare13202559 - 11 Oct 2025
Viewed by 232
Abstract
Background/Objectives: Impaired balance and general mobility are common complications of Parkinson‘s disease (PD) and are largely caused by bradykinesia and hypokinesia. Although previous studies have shown that patients can increase the speed and amplitude of movement with training, apathy, which is also common [...] Read more.
Background/Objectives: Impaired balance and general mobility are common complications of Parkinson‘s disease (PD) and are largely caused by bradykinesia and hypokinesia. Although previous studies have shown that patients can increase the speed and amplitude of movement with training, apathy, which is also common among people with PD, reduces this prospect. Training with light pods was originally developed for athletes to enhance agility in a way that is motivating. However, this type of training could be ideal for individuals with PD and possibly reduce bradykinesia and its effects. This study used a longitudinal interventional design without a control group to explore the effects of a four-week agility training with light equipment on balance and general mobility in patients with PD, as well as to assess motivational properties. Methods: Seven individuals with PD of the motor subtype “akinetic–rigid” participated in this study. Each participant received training three times per week for four weeks. The training session consisted of five rounds; in each round, participants had to turn off 20 lights. Measurements were performed one and a half weeks before training, at the beginning of the program, and at the end of the program. Balance was assessed with Mini-BESTest, general mobility with Timed Up and Go (TUG), transfer skills with 5× Sit to Stand, walking speed with the 10 m walking test, and the ability to turn on a spot with the 360° Turn Test. Motivational aspects of training were assessed after each training session, with scoring on a scale of 0–10. Results: The training significantly improved overall balance (p < 0.001), especially reactive postural control, sensory orientation, and dynamic gait, while anticipatory balance remained unchanged. Turning ability improved, but mobility, transfer ability, and walking speed did not. Motivation remained consistently high across participants. Conclusions: A four-week light-based agility training program can improve balance and turning ability in people with PD and appears to be motivating. However, no clear effects were found for general mobility, transfer skills, or walking speed. Given the small sample size and absence of a control group, these findings should be interpreted with caution. Full article
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16 pages, 2066 KB  
Article
Dynamic Mobilization Exercises Improve Activity and Stride Parameters Measured with Accelerometry in Sedentary Horses
by Aritz Saitua, Joaquín Pérez-Umbría, Karelhia García-Álamo and Ana Muñoz
Animals 2025, 15(20), 2943; https://doi.org/10.3390/ani15202943 - 10 Oct 2025
Viewed by 298
Abstract
Dynamic mobilization exercises (DME) are an effective strategy to prevent musculoskeletal injuries and promote back health in sport horses. Previous studies focused mainly on multifidus muscle cross-sectional area, with limited data on locomotion and adaptation timing. This study evaluated locomotor changes using accelerometry, [...] Read more.
Dynamic mobilization exercises (DME) are an effective strategy to prevent musculoskeletal injuries and promote back health in sport horses. Previous studies focused mainly on multifidus muscle cross-sectional area, with limited data on locomotion and adaptation timing. This study evaluated locomotor changes using accelerometry, over 8 weeks of DME application in 14 sedentary horses: a DME group (n = 8) performing 10 different DME (3 neck flexions, 1 neck extension and 3 lateral bending exercises to each side), 5 repetitions of each DME per session, 3 sessions/week, and a control group (n = 6), that continued with their daily routine activities without any other training. During the study period, all horses were housed in medium-sized paddocks. Accelerometric measurements were performed at walk and trot before intervention, 2 h and 24 h after a DME session, and at 2, 4, 6, and 8 weeks. The DME group showed significant increases in dorsoventral displacement and dorsoventral and mediolateral activities from week 4, at both walk and trot, which then stabilized. Longitudinal activity increased from week 2 on trot and from week 4 at walk. Locomotor symmetry and stride length improved at week 6, while stride frequency decreased at week 8; velocity remained unchanged. These findings indicate that DME enhances dorsoventral, mediolateral and longitudinal activities, producing longer, more symmetrical strides. Overall, DME appears to promote more symmetrical movement patterns. Full article
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14 pages, 1353 KB  
Article
Advanced Stress Echocardiography with Cardiopulmonary Exercise Testing After Myocardial Infarction
by Nektarios Lampros Afthonidis, Vasiliki Michou, Maria Anyfanti, Anastasios Dalkiranis, George Panayiotou, Nikolaos Koutlianos, Evangelia Kouidi and Asterios Deligiannis
J. Funct. Morphol. Kinesiol. 2025, 10(4), 393; https://doi.org/10.3390/jfmk10040393 - 9 Oct 2025
Viewed by 607
Abstract
Background: A thorough post-myocardial infarction (MI) evaluation is essential for prognosis and rehabilitation. While cardiopulmonary exercise testing (CPET) is the standard for assessing functional capacity, combining it with dynamic stress echocardiography (DSE) may offer a more comprehensive assessment. Aim: This study examined the [...] Read more.
Background: A thorough post-myocardial infarction (MI) evaluation is essential for prognosis and rehabilitation. While cardiopulmonary exercise testing (CPET) is the standard for assessing functional capacity, combining it with dynamic stress echocardiography (DSE) may offer a more comprehensive assessment. Aim: This study examined the role of stress echocardiography (SE) in male post-MI patients by evaluating left ventricular function with conventional indices and the change in global longitudinal strain (ΔGLS) at rest and during maximal treadmill CPET. A secondary aim was to determine whether ΔGLS could provide additional value to traditional measures in post-MI care. Methods: Eighteen men with a recent MI [15 ST-elevation MI, three non-ST-elevation MI; mean age 53.2 ± 5.9 years, mean body mass index (BMI) 27.9 ± 2.2, 44.4% with a smoking history) and 18 age-matched male controls (mean age 50.1 ± 10.8 years, mean BMI 26.5 ± 2.4, 39.0% with smoking history) were enrolled. All MI patients were under optimal medical therapy, including β-blockers, which were withheld on the test day. Most underwent percutaneous coronary intervention (PCI), coronary artery bypass grafting (CABG) n = 2, or PCI for non-ST-elevation MI (NSTEMI) n = 3. Left ventricular ejection fraction (LVEF) and global longitudinal strain (GLS) were measured at rest and at peak effort and correlated with CPET parameters. Results: Post-MI patients had lower LVEF (50.6% vs. 60.7% at rest; 55.3% vs. 67.4% at peak, both p < 0.001), impaired GLS (–14.7% vs. –20.2% at rest, p = 0.003; –15.8% vs. –22.7% at peak, p = 0.001), and reduced VO2peak (29.2 vs. 41.9 mL/kg/min, p < 0.001) compared with controls. In the MI group, ΔGLS correlated with VO2peak (r = –0.645, p = 0.003) and VE/VCO2 (r = 0.539, p = 0.020), indicating its potential as a marker of functional reserve. Conclusions: Combined CPET and SE offered comprehensive insights into functional and myocardial performance, identifying ΔGLS as a useful non-invasive index for risk stratification and rehabilitation after MI, with high feasibility and safety. Full article
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16 pages, 5310 KB  
Article
Active Rollover Prevention Mechanism and Landing Attitude Control for Vehicle AirDrop
by Zhengda Li, Zijian Yu, Xinying Li, Si Chen, Yuanhao Cheng and Mingbo Tong
Aerospace 2025, 12(10), 905; https://doi.org/10.3390/aerospace12100905 - 9 Oct 2025
Viewed by 275
Abstract
Current passive anti-rollover systems exhibit inadequate adaptability to complex operational environments. Additionally, due to unidentified critical factors driving rollover incidents during landing, the design of active anti-tipping systems for airdrop remains constrained. Given the foregoing circumstances, this paper divides the landing impact process [...] Read more.
Current passive anti-rollover systems exhibit inadequate adaptability to complex operational environments. Additionally, due to unidentified critical factors driving rollover incidents during landing, the design of active anti-tipping systems for airdrop remains constrained. Given the foregoing circumstances, this paper divides the landing impact process of the vehicle into the airbag cushioning stage and the rigid collision stage. In the airbag cushioning stage, a vertical impact test bench and a fluid–structure interaction (FSI) model is built up to obtain the terminal impact velocity when the airbag’s touching down speed is set as around 8 m/s. An oblique impact test bench and a dynamic model are proposed to investigate the influence of terminal sideslip angles and impact velocities on the vehicle’s roll/pitch stability during the rigid collision phase. Experimental and numerical analyses reveal that the peak overload during the airbag cushioning stage reaches approximately 11 g while the terminal impact velocity in this stage is around 2 m/s. In the rigid collision stage, higher initial descent velocities amplify the peak roll angles and significantly compromise the roll stability. Notably, adjusting the terminal sideslip angle from 90° to 0°/180° triples the critical horizontal velocity threshold from 5.3 m/s to 14.7 m/s which markedly enhances the vehicle’s stability. To address this, an active sideslip angle control system activated at a 250 m altitude is developed to align the vehicle’s horizontal velocity vector with its longitudinal axis to nearly 0°/180° and thus improves the roll/pitch stability. This study establishes a technical foundation for the design of a highly reliable anti-rollover device for the airdrop vehicle. Full article
(This article belongs to the Section Aeronautics)
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12 pages, 694 KB  
Article
Polysomnographic Evidence of Enhanced Sleep Quality with Adaptive Thermal Regulation
by Jeong-Whun Kim, Sungjin Heo, Dongheon Lee, Joonki Hong, Donghyuk Yang and Sungeun Moon
Healthcare 2025, 13(19), 2521; https://doi.org/10.3390/healthcare13192521 - 4 Oct 2025
Viewed by 621
Abstract
Background/Objective: Sleep is a vital determinant of human health, where both its quantity and quality directly impact physical and mental well-being. Thermoregulation plays a pivotal role in sleep quality, as the body’s ability to regulate temperature varies across different sleep stages. This study [...] Read more.
Background/Objective: Sleep is a vital determinant of human health, where both its quantity and quality directly impact physical and mental well-being. Thermoregulation plays a pivotal role in sleep quality, as the body’s ability to regulate temperature varies across different sleep stages. This study examines the effects of a novel real-time temperature adjustment (RTA) mattress, which dynamically modulates temperature to align with sleep stage transitions, compared to constant temperature control (CTC). Through polysomnographic (PSG) assessments, this study evaluates how adaptive thermal regulation influences sleep architecture, aiming to identify its potential for optimizing restorative sleep. Methods: A prospective longitudinal cohort study involving 25 participants (13 males and 12 females; mean age: 39.7 years) evaluated sleep quality across three conditions: natural sleep (Control), CTC (33 °C constant mattress temperature), and RTA (temperature dynamically adjusted: 30 °C during REM sleep; 33 °C during non-REM sleep). Each participant completed three polysomnography (PSG) sessions. Sleep metrics, including total sleep time (TST), sleep efficiency, wake after sleep onset (WASO), and sleep stage percentages, were assessed. Repeated-measures ANOVA and post hoc analyses were performed. Results: RTA significantly improved sleep quality metrics compared to Control and CTC. TST increased from 356.2 min (Control) to 383.2 min (RTA, p = 0.030), with sleep efficiency rising from 82.8% to 87.3% (p = 0.030). WASO decreased from 58.2 min (Control) and 64.6 min (CTC) to 49.0 min (RTA, p = 0.067). REM latency was notably reduced under RTA (110.4 min) compared to Control (141.8 min, p = 0.002). The REM sleep percentage increased under RTA (20.8%, p = 0.006), with significant subgroup-specific enhancements in males (p = 0.010). Females showed significant increases in deep sleep percentage under RTA (12.3%, p = 0.011). Conclusions: Adaptive thermal regulation enhances sleep quality by aligning mattress temperature with physiological needs during different sleep stages. These findings highlight the potential of RTA as a non-invasive intervention to optimize restorative sleep and promote overall well-being. Further research could explore long-term health benefits and broader applications. Full article
(This article belongs to the Section Clinical Care)
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30 pages, 1778 KB  
Article
AI, Ethics, and Cognitive Bias: An LLM-Based Synthetic Simulation for Education and Research
by Ana Luize Bertoncini, Raul Matsushita and Sergio Da Silva
AI Educ. 2026, 1(1), 3; https://doi.org/10.3390/aieduc1010003 - 4 Oct 2025
Viewed by 955
Abstract
This study examines how cognitive biases may shape ethical decision-making in AI-mediated environments, particularly within education and research. As AI tools increasingly influence human judgment, biases such as normalization, complacency, rationalization, and authority bias can lead to ethical lapses, including academic misconduct, uncritical [...] Read more.
This study examines how cognitive biases may shape ethical decision-making in AI-mediated environments, particularly within education and research. As AI tools increasingly influence human judgment, biases such as normalization, complacency, rationalization, and authority bias can lead to ethical lapses, including academic misconduct, uncritical reliance on AI-generated content, and acceptance of misinformation. To explore these dynamics, we developed an LLM-generated synthetic behavior estimation framework that modeled six decision-making scenarios with probabilistic representations of key cognitive biases. The scenarios addressed issues ranging from loss of human agency to biased evaluations and homogenization of thought. Statistical summaries of the synthetic dataset indicated that 71% of agents engaged in unethical behavior influenced by biases like normalization and complacency, 78% relied on AI outputs without scrutiny due to automation and authority biases, and misinformation was accepted in 65% of cases, largely driven by projection and authority biases. These statistics are descriptive of this synthetic dataset only and are not intended as inferential claims about real-world populations. The findings nevertheless suggest the potential value of targeted interventions—such as AI literacy programs, systematic bias audits, and equitable access to AI tools—to promote responsible AI use. As a proof-of-concept, the framework offers controlled exploratory insights, but all reported outcomes reflect text-based pattern generation by an LLM rather than observed human behavior. Future research should validate and extend these findings with longitudinal and field data. Full article
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20 pages, 8591 KB  
Communication
Impact of Channel Confluence Geometry on Water Velocity Distributions in Channel Junctions with Inflows at Angles α = 45° and α = 60°
by Aleksandra Mokrzycka-Olek, Tomasz Kałuża and Mateusz Hämmerling
Water 2025, 17(19), 2890; https://doi.org/10.3390/w17192890 - 4 Oct 2025
Viewed by 538
Abstract
Understanding flow dynamics in open-channel node systems is crucial for designing effective hydraulic engineering solutions and minimizing energy losses. This study investigates how junction geometry—specifically the lateral inflow angle (α = 45° and 60°) and the longitudinal bed slope (I = 0.0011 to [...] Read more.
Understanding flow dynamics in open-channel node systems is crucial for designing effective hydraulic engineering solutions and minimizing energy losses. This study investigates how junction geometry—specifically the lateral inflow angle (α = 45° and 60°) and the longitudinal bed slope (I = 0.0011 to 0.0051)—influences the water velocity distribution and hydraulic losses in a rigid-bed Y-shaped open-channel junction. Experiments were performed in a 0.3 m wide and 0.5 m deep rectangular flume, with controlled inflow conditions simulating steady-state discharge scenarios. Flow velocity measurements were obtained using a PEMS 30 electromagnetic velocity probe, which is capable of recording three-dimensional velocity components at a high spatial resolution, and electromagnetic flow meters for discharge control. The results show that a lateral inflow angle of 45° induces stronger flow disturbances and higher local loss coefficients, especially under steeper slope conditions. In contrast, an angle of 60° generates more symmetric velocity fields and reduces energy dissipation at the junction. These findings align with the existing literature and highlight the significance of junction design in hydraulic structures, particularly under high-flow conditions. The experimental data may be used for calibrating one-dimensional hydrodynamic models and optimizing the hydraulic performance of engineered channel outlets, such as those found in hydropower discharge systems or irrigation networks. Full article
(This article belongs to the Section Hydraulics and Hydrodynamics)
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22 pages, 1778 KB  
Article
Event-Triggered and Adaptive ADMM-Based Distributed Model Predictive Control for Vehicle Platoon
by Hanzhe Zou, Hongtao Ye, Wenguang Luo, Xiaohua Zhou and Jiayan Wen
Vehicles 2025, 7(4), 115; https://doi.org/10.3390/vehicles7040115 - 3 Oct 2025
Viewed by 288
Abstract
This paper proposes a distributed model predictive control (DMPC) framework integrating an event-triggered mechanism and an adaptive alternating direction method of multipliers (ADMM) to address the challenges of constrained computational resources and stringent real-time requirements in distributed vehicle platoon control systems. Firstly, the [...] Read more.
This paper proposes a distributed model predictive control (DMPC) framework integrating an event-triggered mechanism and an adaptive alternating direction method of multipliers (ADMM) to address the challenges of constrained computational resources and stringent real-time requirements in distributed vehicle platoon control systems. Firstly, the longitudinal dynamic model and communication topology of the vehicle platoon are established. Secondly, under the DMPC framework, a controller integrating residual-based adaptive ADMM and an event-triggered mechanism is designed. The adaptive ADMM dynamically adjusts the penalty parameter by leveraging residual information, which significantly accelerates the solving of the quadratic programming (QP) subproblems of DMPC and ensures the real-time performance of the control system. In order to reduce unnecessary solver invocations, the event-triggered mechanism is employed. Finally, numerical simulations verify that the proposed control strategy significantly reduces both the computation time per optimization and the cumulative optimization instances throughout the process. The proposed approach effectively alleviates the computational burden on onboard resources and enhances the real-time performance of vehicle platoon control. Full article
(This article belongs to the Topic Dynamics, Control and Simulation of Electric Vehicles)
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23 pages, 7422 KB  
Article
Adaptive–Predictive Lateral Web Movement Control Algorithm for Flexible Material Winding Systems
by Piotr Urbanek, Andrzej Fraczyk and Jacek Kucharski
Appl. Sci. 2025, 15(19), 10638; https://doi.org/10.3390/app151910638 - 1 Oct 2025
Viewed by 263
Abstract
Various industrial technologies require flexible material webs to undergo processes such as thermal treatment (e.g., drying), printing, or laminating. Such processes are usually performed within winding systems, where the web goes through a set of rolls, and the precision of the web movement [...] Read more.
Various industrial technologies require flexible material webs to undergo processes such as thermal treatment (e.g., drying), printing, or laminating. Such processes are usually performed within winding systems, where the web goes through a set of rolls, and the precision of the web movement determines the quality of the final product. Therefore, high accuracy in the control of both the longitudinal and lateral movement of the web is of paramount importance. Designing the proper control system requires insightful analysis of the technological setup and precise modeling of its dynamic properties. In this paper, the transfer function model of the roll-to-roll system with closed-loop web circulation has been developed based on the mathematical description of the open-loop system. It has been proven that the analyzed system can be efficiently represented by an integral block with negligible inertia. Having established this, several control algorithms have been analyzed, and, as a result, the dedicated adaptive–predictive control algorithm has been proposed. The developed solutions have been verified both by simulations and real experiments performed using the semi-industrial laboratory setup. The high control quality of the proposed algorithm (e.g., considerable reductions in overshoot and settling time compared to PI control), outperforming classical approaches, has been confirmed under various disturbances. Full article
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