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25 pages, 11077 KB  
Article
Evaluation of Impact Performance via FEM Modelling and Experimental Testing of 3D-Printed Honeycomb Energy-Absorbing Crush-Type Structures
by Andrei Nenciu, Dragos Alexandru Apostol, Melania Andreea Munteanu, Oana Andreea Maerean and Dan Mihai Constantinescu
Appl. Sci. 2026, 16(12), 5858; https://doi.org/10.3390/app16125858 - 10 Jun 2026
Viewed by 174
Abstract
This study investigates the energy absorption capacity of large three-honeycomb cell cores of different geometrical configurations, focusing on the influence of the constructive parameters on their impact response. The analyzed sandwich structures were additively manufactured using Onyx (a nylon-based composite) for the core [...] Read more.
This study investigates the energy absorption capacity of large three-honeycomb cell cores of different geometrical configurations, focusing on the influence of the constructive parameters on their impact response. The analyzed sandwich structures were additively manufactured using Onyx (a nylon-based composite) for the core cells and integrated into an assembly consisting of 6060-aluminum face sheets and encapsulated within a 6060-aluminum tube. These configurations represent a realistic engineering solution for lightweight structures designed for energy absorption. The analyses were conducted for two impact energy levels, 20 J and 50 J, enabling the evaluation of the structural sensitivity to different dynamic loading conditions. The results indicate a significant reduction in peak force with an increasing number of cells along the height. Compared to the single-cell configuration, the peak force decreases by approximately 15% for the two-cell configuration and 22.5% for the three-cell configuration, corresponding to a reduction of roughly 9% between the two- and three-cell cases. These findings highlight the critical role of geometry in optimizing the impact performance of honeycomb structures and provide relevant insights for the design of additively manufactured energy-absorbing crush-type components in engineering applications. Full article
(This article belongs to the Special Issue Advanced Polymer-Matrix Composite and 3D Printed Materials)
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16 pages, 1810 KB  
Article
Real-Time Markerless Tooth Detection Towards Dynamic Robot-Assisted Dental Implant Navigation
by Vasile Bulbucan, Daria Pisla, Paul Tucan, Cristian Dinu, Calin Vaida, Rares Mocan, Mihaela Baciut, Sebastian Stoia, Mihaela Hedesiu, Ionut Zima, Doina Pisla and TEAM Project Group
Dent. J. 2026, 14(6), 345; https://doi.org/10.3390/dj14060345 - 5 Jun 2026
Viewed by 258
Abstract
Background/Objectives: Dynamic navigation and robot-assisted implant workflows depend on robust intraoral perception. Marker-based tracking introduces workflow complexity and is sensitive to occlusions, motivating markerless alternatives. This study evaluates whether a single-stage YOLO instance segmentation model (YOLO-seg) can provide a practical markerless perception layer [...] Read more.
Background/Objectives: Dynamic navigation and robot-assisted implant workflows depend on robust intraoral perception. Marker-based tracking introduces workflow complexity and is sensitive to occlusions, motivating markerless alternatives. This study evaluates whether a single-stage YOLO instance segmentation model (YOLO-seg) can provide a practical markerless perception layer for dental navigation, combining accurate per-tooth delineation with low, predictable inference latency. Methods: YOLO-seg was trained end to end on an intraoral RGB corpus of 400 training, 20 validation, and 100 testing images, combining a public source and a partner-hospital in-house set. A two-stage YOLO + SAM baseline was implemented for comparison. Segmentation quality was evaluated on a 50-image held-out clinical test set at three complementary levels (per-instance matching, per-class union, and global union), with paired Wilcoxon signed-rank tests, Cliff’s delta effect sizes, and 95% bootstrap confidence intervals. Runtime was assessed under matched inference-only and end-to-end conditions on N = 100 frames at a 640 × 640 resolution on an NVIDIA RTX A2000 GPU. Results: YOLO-seg significantly outperformed YOLO + SAM across all primary metrics, with very large effect sizes (Cliff’s delta: 0.76–0.94; Wilcoxon p < 10−8 on every metric except precision at IoU ≥ 0.5). YOLO-seg reached AP50 = 0.716 and recall = 0.973 versus 0.383 and 0.398 for YOLO + SAM. Under matched inference-only timing, YOLO-seg ran at 27.08 ms per frame (36.9 FPS) versus 1302.78 ms (0.77 FPS), an approximately 48-fold latency gap intrinsic to the two-stage forward pass. Conclusions: YOLO-seg shows strong potential as a 2D perception module for dental navigation, balancing per-instance segmentation fidelity with real-time feasibility under the tested conditions. These results support its use as a 2D perception front-end for future integration with stereo-based 3D reconstruction and robot-assisted navigation; 3D registration accuracy, implant-placement error, and robotic execution remain outside the scope of the present study. Full article
(This article belongs to the Special Issue Artificial Intelligence in Oral Rehabilitation)
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18 pages, 2197 KB  
Article
Comparative Experimental Assessment of Photovoltaic Panel Stability Under Moderate Freeze–Thaw Thermal Cycling
by Răzvan-Andrei Polcovnicu, Sebastian-Valeriu Hudișteanu, Nicolae Țăranu, Dragoș Ungureanu, Marius Alexa, Iuliana Hudișteanu, Nelu-Cristian Cherecheș, Florin-Emilian Țurcanu, Cătălin Onuțu and Alexandru-Florin Mustiață
Sustainability 2026, 18(11), 5404; https://doi.org/10.3390/su18115404 - 27 May 2026
Viewed by 355
Abstract
This study presents an experimental investigation on the electrical performance, durability, and sustainability of different types of photovoltaic panels subjected to controlled climatic conditions and simulated solar radiation. Four photovoltaic technologies were analyzed, including monocrystalline, polycrystalline, and two semi-flexible panels, to evaluate their [...] Read more.
This study presents an experimental investigation on the electrical performance, durability, and sustainability of different types of photovoltaic panels subjected to controlled climatic conditions and simulated solar radiation. Four photovoltaic technologies were analyzed, including monocrystalline, polycrystalline, and two semi-flexible panels, to evaluate their behavior under thermal stress. The experimental methodology consisted of repeated freeze–thaw cycles conducted in a double climatic chamber, with temperatures varying between −18 °C and +5 °C. Each panel was subjected to up to 500 cycles designed to reproduce repeated freeze–thaw environmental conditions representative of moderate cold-climate operation. At predefined intervals, the electrical characteristics of the panels were assessed using a solar radiation simulator based on high-pressure mercury vapor lamps, ensuring controlled and repeatable irradiation conditions. The results indicate that all tested panels exhibited relatively stable open-circuit voltage and output current values throughout the investigated thermal cycling interval, with only minor fluctuations observed during the experimental measurements. No visible macroscopic structural degradation and no major variations in the monitored electrical parameters were identified during the investigated testing conditions. Semi-flexible panels demonstrated comparable behavior to rigid panels, highlighting their potential for applications requiring mechanical adaptability. From a sustainability perspective, the observed durability and performance stability contribute to extending the operational lifetime of photovoltaic systems, reducing maintenance needs and material replacement rates. The findings provide comparative experimental observations regarding the evolution of selected electrical parameters under repeated moderate freeze–thaw exposure conditions. Full article
(This article belongs to the Special Issue Advances in Solar Cells and Sustainable Photovoltaics)
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12 pages, 1091 KB  
Case Report
Atypical Pruriginous Pustular Eruption Preceding Locally Advanced Rectal Cancer: A Case Report and Gut–Skin–Tumour Axis Hypothesis
by Monica Manciulea (Profir), Luciana Alexandra Pavelescu and Sanda Maria Crețoiu
Diagnostics 2026, 16(11), 1592; https://doi.org/10.3390/diagnostics16111592 - 22 May 2026
Viewed by 342
Abstract
Background and Clinical Significance: Cutaneous paraneoplastic phenomena are infrequently characterised in colorectal cancer (CRC), and chronic pruriginous inflammatory eruptions in particular have received limited attention. In older adults, persistent treatment-resistant dermatoses of unclear aetiology may represent overlooked extraintestinal diagnostic clues to occult malignancy, [...] Read more.
Background and Clinical Significance: Cutaneous paraneoplastic phenomena are infrequently characterised in colorectal cancer (CRC), and chronic pruriginous inflammatory eruptions in particular have received limited attention. In older adults, persistent treatment-resistant dermatoses of unclear aetiology may represent overlooked extraintestinal diagnostic clues to occult malignancy, including potentially curable CRC. Faecal immunochemical testing (FIT) for occult bleeding is a low-cost, non-invasive tool whose role outside conventional alarm-symptom triage remains underexplored. Case presentation: A 72-year-old woman presented for outpatient evaluation with several months of pruriginous, pustular, and crusted symmetric eruption involving the dorsal aspects of the limbs, refractory to standard dermatologic treatment, and without gastrointestinal symptoms. A non-invasive systemic stool-based work-up demonstrated detectable faecal haemoglobin (iFOBT), mildly elevated faecal calprotectin (51.6 mg/kg, ULN 50 mg/kg), markedly elevated faecal alpha-1-antitrypsin (631 µg/mL; 2.3× ULN), and predominance of Escherichia coli on stool culture. Colonoscopy revealed a locally advanced rectal adenocarcinoma; staging classified the lesion as cT3N1M0. The patient received long-course neoadjuvant chemoradiotherapy (50 Gy, concurrent capecitabine) followed by low anterior resection with total mesorectal excision and pathological complete response (ypT0N0, R0), and adjuvant capecitabine. The cutaneous eruption resolved progressively in parallel with antineoplastic therapy without specific dermatologic intervention. The patient remains in remission at over 36 months. Conclusions: Persistent, unexplained, treatment-resistant pruriginous/pustular cutaneous eruptions may, in selected patients, coincide with an underlying malignancy, including colorectal cancer, and should prompt careful individualised clinical assessment, including review of age-appropriate colorectal cancer screening status. This single case raises the hypothesis that quantitative faecal immunochemical testing (FIT) may be prospectively evaluated as a low-cost, non-invasive triage tool in carefully selected patients aged ≥50 years with persistent dermatoses of unclear aetiology, even in the absence of gastrointestinal symptoms. Positive FIT results should be managed according to established local colorectal referral pathways. NICE diagnostics guidance DG56 supports FIT use in symptomatic adults with suspected lower gastrointestinal pathology; however, any extension of FIT to extraintestinal presentations remains investigational and requires formal validation through prospective studies assessing diagnostic yield, cost-effectiveness, and stage distribution. Full article
(This article belongs to the Section Clinical Diagnosis and Prognosis)
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33 pages, 8557 KB  
Article
A Novel Hybrid Stacking Ensemble Classifier for the LegUp Robot Used in Lower Limb Rehabilitation
by Anca-Elena Iordan, Florin Covaciu, Calin Vaida, Iuliu Nadas, Alexandru Banica, Bogdan Gherman, Ionut Ulinici, Jose Machado, Paul Tucan and Doina Pisla
AI 2026, 7(5), 177; https://doi.org/10.3390/ai7050177 - 21 May 2026
Viewed by 445
Abstract
Robust exercise recognition is essential for robot-assisted lower-limb rehabilitation, where misclassifications of sensor-derived movements can degrade therapy execution and supervision. This study proposes a novel hybrid weighted stacking ensemble to increase the efficiency of the intelligent module of the LegUp parallel robotic system [...] Read more.
Robust exercise recognition is essential for robot-assisted lower-limb rehabilitation, where misclassifications of sensor-derived movements can degrade therapy execution and supervision. This study proposes a novel hybrid weighted stacking ensemble to increase the efficiency of the intelligent module of the LegUp parallel robotic system for lower limb rehabilitation. The approach combines a Residual Multilayer Perceptron (ResMLP) and an optimized Kernel Extreme Learning Machine (KELM), where model hyperparameters are tuned using Optuna and the base-model probability outputs are fused through optimized weighting and a meta-learner. Experiments were conducted on a five-class dataset built from nine IMU orientation features acquired from three sensors placed on the healthy limb. Four meta-learners were evaluated (Logistic Regression, Random Forest, Gradient Boosting, and AdaBoost), with AdaBoost providing the best overall performance. To further assess the robustness and generalization capability of the proposed approach, a 5-fold cross-validation procedure was performed for the ResMLP, KELM, and the hybrid ensemble models. The proposed stacking hybrid ensemble consistently surpassed the performance of the strongest individual classifiers as well as the original LegUp Multilayer Perceptron model. These results indicate that combining residual learning with kernel-based classification in a weighted stacking framework yields a stable and high-performing solution for multi-class rehabilitation exercise recognition. Full article
(This article belongs to the Section Medical & Healthcare AI)
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31 pages, 10884 KB  
Article
Influence of Vibration-Assisted MIG Weld Cladding on the Reconditioning of Hot Extrusion Punches
by Mihai Alexandru Luca, Dorin-Ioan Catana, Dana Luca Motoc and Mircea Horia Tierean
J. Manuf. Mater. Process. 2026, 10(5), 173; https://doi.org/10.3390/jmmp10050173 - 14 May 2026
Viewed by 575
Abstract
Hot extrusion tools operate under severe thermal and mechanical conditions, which significantly limit their service life. During operation, the punch and die absorb large amounts of heat from the hot billet while being subjected to high pressures and intense friction, leading to severe [...] Read more.
Hot extrusion tools operate under severe thermal and mechanical conditions, which significantly limit their service life. During operation, the punch and die absorb large amounts of heat from the hot billet while being subjected to high pressures and intense friction, leading to severe abrasive wear and progressive hardness reduction. In practice, the punch generally exhibits a shorter service life than the die. The present study proposes a technological solution for reconditioning worn extrusion punches using vibration-assisted welding (VAW). A wear-resistant layer was deposited by MIG welding using DUR 600 filler material, while mechanical vibrations were introduced through a vibrating welding table. The applied vibration regime consisted of a frequency of 50 Hz–108 Hz and acceleration components of ax = 30–60 m/s2 and az = 35–70 m/s2. The experimental investigations included macroscopic analysis, hardness and microhardness measurements, microstructural observations, and SEM-EDS line scanning analysis of the dilution zone between the cladding material and the base metal. The results suggest that vibration-assisted welding may influence the microstructural characteristics, hardness distribution, and dilution behavior of the cladded layer. The vibrated specimens exhibited higher hardness values in the range of 702 to 908 HV5–10. Under the investigated conditions, the process did not require additional hardening treatment, and only a stress-relief annealing stage was applied. The proposed VAW approach appears to be a promising option for the reconditioning of hot extrusion tools; however, further investigations are required to validate its performance under industrial conditions. Full article
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30 pages, 4755 KB  
Article
Water Quality and Footprint in the European Union Driven by Free Movement of People and Tourism
by Tiberiu Vlad Simion, Raluca-Maria Țâbuleac and Maria Gavrilescu
Water 2026, 18(9), 1048; https://doi.org/10.3390/w18091048 - 28 Apr 2026
Viewed by 439
Abstract
This study examines the association between tourism intensity, the free movement of people, and water quality outcomes across the European Union (EU-27) over the period 2012–2024. By integrating open-access datasets from Eurostat, the European Environment Agency (EEA), and the EXIOBASE input–output framework, the [...] Read more.
This study examines the association between tourism intensity, the free movement of people, and water quality outcomes across the European Union (EU-27) over the period 2012–2024. By integrating open-access datasets from Eurostat, the European Environment Agency (EEA), and the EXIOBASE input–output framework, the analysis estimates the direct (blue), indirect, and grey components of the tourism-related water footprint and explores their relationship with bathing water quality indicators using panel econometric models. The results indicate that tourism activity increased substantially during the study period, while the share of bathing waters classified as “excellent” also improved. The findings further show that the gray water footprint is strongly associated with variations in water quality, whereas higher wastewater treatment coverage is positively associated with improved environmental outcomes. These results highlight the importance of wastewater management and governance capacity in moderating the relationship between tourism and water quality across diverse European contexts. We find that tourism activity rose by approximately 28% during the study period; yet, through improvements in wastewater treatment infrastructure and governance, the share of bathing waters rated “excellent” also increased. Notably, the grey water footprint emerged as the strongest predictor of water quality deterioration, while wastewater treatment coverage significantly mitigated negative impacts. Comparative case studies of Spain, Greece, Croatia and Romania highlight how institutional and technological capacity are associated with differences in tourism–water relationships across diverse hydro-climatic contexts. Our findings underscore that sustainable tourism in Europe is less a matter of visitor numbers and more a question of effective water management systems. The study supports a policy shift towards integrated water-tourism planning and circular water-use strategies to support more sustainable management of tourism-related environmental pressures. Full article
(This article belongs to the Section Water Resources Management, Policy and Governance)
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25 pages, 1516 KB  
Review
Neonatal Infections Caused by Multidrug-Resistant Bacteria: An Analysis of Prevalence, Risk Factors, and Therapeutic Implications—A Narrative Review
by Elena-Teona Coșovanu, Teodora Ana Balan, Eric-Oliviu Coșovanu, Silvia Ionescu, Costin Damian, Antoneta Dacia Petroaie, Elena-Adorata Coman, Mihaela Grigore, Demetra Socolov, Raluca Anca Balan, Luminita Smaranda Iancu, Irina Draga Căruntu and Ramona Gabriela Ursu
Pathogens 2026, 15(5), 469; https://doi.org/10.3390/pathogens15050469 - 26 Apr 2026
Viewed by 1068
Abstract
Neonatal infections remain a leading cause of morbidity and mortality worldwide, particularly among preterm and low-birth-weight infants and in low- and middle-income countries. This burden has intensified with the global increase in multidrug-resistant (MDR) bacteria, especially in neonatal intensive care units, where prolonged [...] Read more.
Neonatal infections remain a leading cause of morbidity and mortality worldwide, particularly among preterm and low-birth-weight infants and in low- and middle-income countries. This burden has intensified with the global increase in multidrug-resistant (MDR) bacteria, especially in neonatal intensive care units, where prolonged hospitalization, invasive interventions, and exposure to broad-spectrum antibiotics promote colonization, transmission, and invasive infection. In this narrative review, we explore the epidemiology and microbiological characteristics of MDR bacterial infections in newborns, alongside their associated risk factors, diagnostic challenges, treatment outcomes, and prevention strategies. Across different settings, Gram-negative pathogens, particularly Klebsiella pneumoniae, Escherichia coli, and Acinetobacter baumannii, account for a substantial proportion of severe neonatal infections, whereas methicillin-resistant Staphylococcus aureus remains important in selected units. The risk of MDR infection is driven by a complex interplay of factors, ranging from maternal and perinatal exposures to the inherent immunological vulnerability of newborns, hospital-based transmission, antibiotic selection pressure, and structural deficiencies in healthcare infrastructure. Diagnosis remains challenging because clinical presentations are nonspecific and culture-based methods are constrained by low blood volumes, prior antimicrobial exposure, and delayed turnaround times. Treatment is increasingly complicated due to resistance to standard empirical regimens, substantial regional variation in susceptibility profiles, and limited neonatal pharmacokinetic and safety data for reserve agents. Current evidence mainly supports surveillance-informed empirical therapy, susceptibility-guided treatment adjustment, antimicrobial stewardship, and strict infection prevention measures. Future progress will require neonatal-specific clinical trials, harmonized surveillance systems, stronger molecular epidemiology, and more equitable access to microbiological diagnostics and effective treatment. Full article
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46 pages, 17014 KB  
Review
Damage Classification and Terminology for Machine Components: A Review of Standardization and Diagnostic Practice
by Cristina Popa, Sorin Cănănău, George Ghiocel Ojoc, Cătălin Pîrvu, Mario Constandache, Valentin Azamfirei and Lorena Deleanu
Machines 2026, 14(4), 448; https://doi.org/10.3390/machines14040448 - 17 Apr 2026
Cited by 1 | Viewed by 1049
Abstract
Machine components are subject to a wide range of damage and failure processes, and their correct identification is essential for reliable operation, effective maintenance, and accurate diagnosis. However, a persistent gap exists between morphology-based classification systems, used in international standards, and the mechanism-based [...] Read more.
Machine components are subject to a wide range of damage and failure processes, and their correct identification is essential for reliable operation, effective maintenance, and accurate diagnosis. However, a persistent gap exists between morphology-based classification systems, used in international standards, and the mechanism-based interpretations developed in tribology and mechanics. This review analyzes the evolution and current practice of damage classification for machine components, with emphasis on rolling bearings as a representative case. The study is based on a structured analysis of international standards (e.g., ISO 15243), complemented by tribological literature and manufacturers’ documentation. The review focuses on how several damage modes such as spalling, pitting, and fretting are defined, interpreted, and applied in practice. The results highlight systematic ambiguities arising from the separation between visual descriptors and underlying failure mechanisms, particularly in the case of fatigue-related surface damage. Through selected case studies, the review demonstrates how reliance on morphology alone may obscure causal interpretation and lead to inconsistent diagnosis. The study further discusses emerging trends, including digital damage atlases and artificial-intelligence-based diagnostic tools, emphasizing how inconsistencies in standardized terminology may affect their reliability. It is concluded that morphology-based standards should be regarded as complementary diagnostic tools rather than substitutes for mechanical analysis. A closer alignment between standardized terminology and mechanistic understanding is necessary to improve failure diagnosis, support engineering education, and enhance the reliability of machine components. Full article
(This article belongs to the Special Issue Advanced Machine Condition Monitoring and Fault Diagnosis)
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21 pages, 13225 KB  
Article
Corrosion and Thermal Shock Behavior of Atmospheric Plasma Spraying Coatings on Agricultural Disc Harrows
by Corneliu Munteanu, Ramona Cimpoeșu, Fabian-Cezar Lupu, Boris Nazar, Bogdan Istrate, Iurie Melnic and Visanu Vitali
Appl. Sci. 2026, 16(8), 3703; https://doi.org/10.3390/app16083703 - 10 Apr 2026
Cited by 2 | Viewed by 574
Abstract
Atmospheric plasma spraying (APS) represents a critical solution for enhancing the durability of agricultural components, such as harrow discs, which are subjected to synergistic wear and corrosion during soil cultivation. This study presents experimental results evaluating the electrochemical corrosion behavior and thermal shock [...] Read more.
Atmospheric plasma spraying (APS) represents a critical solution for enhancing the durability of agricultural components, such as harrow discs, which are subjected to synergistic wear and corrosion during soil cultivation. This study presents experimental results evaluating the electrochemical corrosion behavior and thermal shock resistance of discs coated via atmospheric plasma thermal spraying. Both metallic and ceramic materials, in powder form, from established manufacturers were used to produce the coatings, and the three types of coatings (two metallic and one ceramic) have the following chemical compositions and trade names: W2C/WC12Co (Metco71NS), Cr2O3-4SiO2-3TiO (Metco136F) and Co25.5Cr10.5Ni7.5W0.5C (Metco45C-NS). The coatings were analyzed using electron microscopy to evaluate the surfaces following corrosion testing. The ceramic coating based on the Cr2O3-4SiO2-3TiO demonstrated the highest protective efficiency by increasing the charge transfer resistance from 307 Ω/cm2 to 2213 Ω/cm2 for the ceramic coating. It provided a superior physical barrier, reducing the corrosion current density from 0.140 mA/cm2 for unprotected substrate to 0.004 mA/cm2, representing an improvement of nearly two orders of magnitude. These findings demonstrate that implementing Cr2O3-4SiO2-3TiO ceramic systems can significantly extend the operational lifespan of soil-engaging components, providing a cost-effective strategy for reducing maintenance intervals and material loss in aggressive agricultural environments. Full article
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20 pages, 19521 KB  
Article
Microstructure Influence on the Dry Sliding Wear Behavior of Cr2O3–nTiO2 APS Coatings
by Daniel Cristișor, Corneliu Munteanu, Daniela-Lucia Chicet, Marcelin Benchea, Alina-Corina Dumitrașcu and Adi-Mihăiță Velniciuc
Solids 2026, 7(2), 19; https://doi.org/10.3390/solids7020019 - 1 Apr 2026
Viewed by 663
Abstract
Cr2O3-based ceramic coatings are widely used in wear-critical applications; however, their tribological performance under dry sliding conditions can be limited by brittleness and frictional instability. In heavy-duty vehicles, the king pin–bushing contact operates under severe dry sliding conditions, motivating [...] Read more.
Cr2O3-based ceramic coatings are widely used in wear-critical applications; however, their tribological performance under dry sliding conditions can be limited by brittleness and frictional instability. In heavy-duty vehicles, the king pin–bushing contact operates under severe dry sliding conditions, motivating the investigation of composite Cr2O3–nTiO2 coatings as a potential surface engineering solution. In this study, Cr2O3–TiO2 coatings containing 0, 10, 20, 30, and 40 wt% TiO2 were deposited by atmospheric plasma spraying (APS) from mechanically mixed powders. Phase composition was analyzed by X-ray diffraction using an X’Pert PRO MRD diffractometer, while microstructure and elemental distribution were examined by scanning electron microscopy (SEM) coupled with energy-dispersive X-ray spectroscopy (EDS) on a FEG Quattro C microscope. Mechanical properties were evaluated by Vickers microhardness, instrumented indentation and scratch testing, while dry sliding wear behavior was assessed by pin-on-disc tests performed on a CETR UMT-2 tribometer against a bronze counterbody, with continuous monitoring of the coefficient of friction (COF). The results show that plasma spraying produces lamellar composite coatings with intrinsic porosity and locally modified phase composition. Cr2O3-rich coatings exhibit higher hardness (1198 HV2 compared with 877 HV2 for Cr2O3–40TiO2 corresponding to an increase of approximately 36%) and improved resistance to indentation, reflected by lower penetration depths and higher elastic modulus values (134 GPa for S0 compared with 77 GPa for S2). These coatings also exhibit a more stable friction response and reduced material transfer from the bronze counterbody, as confirmed by the lower mass loss of the pins (0.0295 g for S0 compared with 0.0473 g for S4, corresponding to a reduction of about 38%). Increasing TiO2 content leads to changes in friction stability and wear behavior associated with microstructural heterogeneity. These findings indicate that the sliding wear performance of Cr2O3–nTiO2 coatings is governed by elastic–plastic stability under localized contact loading and support their applicability for dry sliding king pin–bushing systems in heavy-duty vehicles. Full article
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18 pages, 346 KB  
Article
Renal Risk Awareness and Use Patterns of NSAIDs and Antibiotics in Primary Care Patients from North-Eastern Romania
by Eric Oliviu Cosovanu, Maria Bogdan, Elena Adorata Coman, Cezar Ilie Foia, Cosmin Gabriel Tartau, Elena Teona Cosovanu, Antoneta Dacia Petroaie, Liliana Lacramioara Pavel, Ana-Maria Pelin and Liliana Mititelu Tartau
Medicina 2026, 62(3), 594; https://doi.org/10.3390/medicina62030594 - 21 Mar 2026
Viewed by 703
Abstract
Background and Objectives: Self-medication and inappropriate use of non-steroidal anti-inflammatory drugs (NSAIDs) and antibiotics are major public health concerns, particularly in settings with variable access to healthcare. Understanding patterns of medication use and renal risk perception can inform targeted interventions. This study [...] Read more.
Background and Objectives: Self-medication and inappropriate use of non-steroidal anti-inflammatory drugs (NSAIDs) and antibiotics are major public health concerns, particularly in settings with variable access to healthcare. Understanding patterns of medication use and renal risk perception can inform targeted interventions. This study examined NSAID and antibiotic use, self-medication behaviors, and renal risk awareness among Romanian primary care patients, with attention to urban–rural differences. Materials and Methods: A cross-sectional survey was conducted among 201 primary care patients (101 rural, 100 urban). Data on NSAID and antibiotic use, self-medication practices, sources of recommendation, and renal risk perception were collected using a study-specific questionnaire. Multivariable logistic regression was applied to identify predictors of frequent NSAID use, inappropriate antibiotic use, self-medication frequency, and high perceived renal risk. Results: NSAID use was nearly universal (95%), with frequent use strongly associated with non-professional recommendations. Antibiotic misuse was more common in rural participants and largely driven by informal acquisition. Self-medication patterns differed by residence: rural participants reported system- or access-related reasons and reliance on non-professional sources, while urban participants engaged in frequent, convenience-driven self-medication. Although most participants were aware of potential renal harm, this did not consistently lead to safer behaviors. Higher educational level and trust in healthcare professionals predicted increased perceived renal risk, whereas rural residence was associated with lower risk perception. Conclusions: Medication misuse is influenced more by recommendation sources, access barriers, and trusted information pathways than by knowledge alone. Interventions should focus on improving professional guidance, addressing informal recommendation networks, and tailoring strategies to urban–rural contexts. Full article
(This article belongs to the Section Epidemiology & Public Health)
24 pages, 368 KB  
Article
A Candidate EEG Spectral Index of Internally Oriented Attention: An Exploratory Comparison of Prayer and Relaxation
by Cristian Manea, Corina Colareza, Dana Rad, Mușata-Dacia Bocoș, Teofil Panc, Mona Bădoi-Hammami and Gheorghe Mihai Bănariu
Brain Sci. 2026, 16(3), 311; https://doi.org/10.3390/brainsci16030311 - 14 Mar 2026
Viewed by 668
Abstract
Background: Self-transcendence has been described in psychological literature as an orientation toward meaning beyond the individual self. However, because the present study does not directly measure transcendence as a psychological construct, we approach it cautiously as a candidate form of internally oriented attention, [...] Read more.
Background: Self-transcendence has been described in psychological literature as an orientation toward meaning beyond the individual self. However, because the present study does not directly measure transcendence as a psychological construct, we approach it cautiously as a candidate form of internally oriented attention, operationalized through EEG spectral dynamics. Although this construct has been linked to self-referential cognition and large-scale brain systems supporting internal mentation, electrophysiological evidence remains limited, especially in designs that compare spiritually oriented practices with non-spiritual internal-focus controls. Objective: We examined whether a candidate EEG-derived Transcendence Index (TI) is associated with EEG oscillatory activity across canonical frequency bands and whether prayer and relaxation show descriptively distinct oscillatory patterns. Methods: In a within-subject design, participants completed a psychological assessment battery including personality and anxiety measures and underwent EEG recording during two eyes-closed conditions (Prayer vs. Relaxation). Spectral power features were extracted for delta, theta, alpha (low/high), beta (low/high), and gamma (low/high, where signal quality permitted). We examined associations between TI and band-limited activity and explored condition-related oscillatory patterns across Prayer and Relaxation. Given the modest sample size (N = 39), the study was designed and interpreted as exploratory research. Results: Higher TI was associated with an oscillatory profile consistent with internally oriented attention and reflective self-processing, with the most consistent patterns observed in theta–alpha dynamics (and comparatively lower beta contribution). In addition, Prayer and Relaxation showed descriptively distinct oscillatory patterns, suggesting that prayer engages internal-focus processes that may not be fully captured by relaxation alone. Conclusions: These findings support the feasibility of examining internally oriented attentional dynamics potentially related to “transcendence” as a candidate construct through scalp EEG spectral activity. Integrating theory-informed indices with EEG features may help refine psychophysiological models of self-transcendence and inform digitally supported assessment approaches, pending further construct validation. These findings should therefore be interpreted as exploratory preliminary evidence supporting the feasibility of EEG-based indices of internally oriented attention. Full article
(This article belongs to the Special Issue Electrophysiological Approaches to Cognitive Neuroscience)
25 pages, 962 KB  
Article
A Rule-Based Clinical Decision Support System for COVID-19 Severity Stratification in Oncology Patients: A Retrospective Study
by Elena-Victoria Manea (Carneluti), Virginia Maria Radulescu, Cristina Floriana Pană, Ilona Georgescu, Mircea Sebastian Șerbănescu, Andreea Denisa Hodorog, Stefana Oana Popescu, Nicolae-Răzvan Vrăjitoru, Anica Dricu and Stefan-Alexandru Artene
Appl. Sci. 2026, 16(6), 2744; https://doi.org/10.3390/app16062744 - 13 Mar 2026
Viewed by 456
Abstract
Early risk stratification of COVID-19 severity in oncology patients is critical for improving clinical outcomes and optimizing hospital resource allocation. This study proposes a rule-based clinical decision support system (CDSS) designed for integration into digital triage workflows. In practical terms, the score is [...] Read more.
Early risk stratification of COVID-19 severity in oncology patients is critical for improving clinical outcomes and optimizing hospital resource allocation. This study proposes a rule-based clinical decision support system (CDSS) designed for integration into digital triage workflows. In practical terms, the score is intended to be applied at hospital admission or triage, where demographic and comorbidity information is routinely available. The computed score can automatically flag high-risk oncology patients for intensified monitoring or early ICU evaluation, supporting rapid resource allocation while preserving clinician decision-making. Using retrospective clinical data from hospitalized oncological patients with confirmed SARS-CoV-2 infection, we developed a scoring algorithm based on four common comorbidities: age ≥ 70, obesity, diabetes mellitus, and hypertension. Each factor was assigned a weighted contribution to a cumulative score ranging from 0 to 7. Patients were classified into three risk levels (low, moderate, high), correlating with observed rates of ICU admission and mortality. The system is built for low-complexity implementation in electronic health records (EHRs) or web-based triage dashboards and includes a software logic model with pseudocode. Results indicate that the score effectively distinguishes patient risk levels with statistical significance (p < 0.01), and can function as an early triage mechanism. The proposed model does not require laboratory data or imaging, making it particularly suitable for rapid deployment in both hospital and remote settings. This work demonstrates a pragmatic, interpretable, and scalable approach to clinical decision support in pandemic contexts involving vulnerable populations such as cancer patients. Full article
(This article belongs to the Special Issue Advanced Technologies in Medical/Health Informatics)
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Article
Neuroregenerative Potential of Conductive Alginate-Graphene Oxide Scaffolds
by Andreea-Isabela Lazăr, Aida Șelaru, Alexa-Maria Croitoru, Ludmila Motelica, Roxana-Doina Trușcă, Denisa Ficai, Ovidiu-Cristian Oprea, Dănuț-Ionel Văireanu, Anton Ficai and Sorina Dinescu
Polysaccharides 2026, 7(1), 33; https://doi.org/10.3390/polysaccharides7010033 - 11 Mar 2026
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Abstract
Neural regeneration requires an optimal environment, including structural, chemical, mechanical, and electrical properties. Alginate (Alg) and graphene oxide (GO) are promising biomaterials for nerve tissue engineering, as Alg provides biocompatibility and hydrogel formation, while GO enhances mechanical strength and conductivity. For this study, [...] Read more.
Neural regeneration requires an optimal environment, including structural, chemical, mechanical, and electrical properties. Alginate (Alg) and graphene oxide (GO) are promising biomaterials for nerve tissue engineering, as Alg provides biocompatibility and hydrogel formation, while GO enhances mechanical strength and conductivity. For this study, GO was synthesized using the modified Hummer’s method, and Alg–GO scaffolds with varying GO concentrations were developed. FTIR spectroscopy confirmed the successful incorporation of GO into the Alg matrix, while UV–Vis and photoluminescence analyses demonstrated GO-induced modifications of the optical properties. Thermal analysis revealed improved stability with increasing GO content, whereas swelling tests showed enhanced water uptake and retention. Conductivity measurements indicated a clear improvement in electrical conductivity, particularly at moderate GO concentrations. SEM imaging confirmed a homogeneous distribution of GO within the Alg matrix, with structural uniformity across all samples. Cytocompatibility was assessed using SH–SY5Y neuroblastoma cells through MTT, LDH, and LIVE/DEAD assays. All composites supported cell attachment, viability, and proliferation, with GO concentrations up to 6% promoting optimal cell growth without inducing cytotoxicity. In contrast, excessive GO content (9%) resulted in reduced proliferation, although biocompatibility was maintained. These results highlight the potential of Alg–GO scaffolds as promising candidates for neural tissue engineering. The findings demonstrate the potential of Alg–GO scaffolds as advanced biomaterials for regenerative medicine. Future research should focus on in vivo evaluations to confirm their therapeutic applicability. Full article
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