Search Results (8,409)

Education and post-licencing training programmes for novice drivers are widely implemented to improve road safety, yet their effectiveness remains debated. This study evaluates short-term attitudinal changes relating to participation in a mandatory post-licencing training programme for novice drivers in Slovenia. A within-subject pre–post survey methodology was used to evaluate self-reported driving attitudes across six safety-related domains among 225 novice drivers at a Slovenian driving training centre in 2024. Paired t-tests revealed minor yet statistically significant improvement following the programme in perceived support for the additional driver training, lowered overconfidence, heightened care in speeding and intersection behaviour, and enhanced attitudes towards vehicle operation and utilization of safety equipment. Attitudes regarding attention and adherence to traffic regulations showed negligible shifts, indicating a strong baseline attitude towards safe driving. The findings indicate a modest but fairly consistent short-term change in attitudes after programme participation. Due to the lack of a control group and dependence on self-reported data, the findings should be seen as evaluative rather than causative, necessitating more longitudinal and behavioural research to evaluate long-term and behavioural effects. Full article

Thrips are cosmopolitan agricultural pests and important vectors of plant viruses, and the increasing coexistence of multiple morphologically similar species has intensified the demand for species-specific molecular identification. However, traditional morphological identification and PCR assays using universal primers are often inadequate for mixed-species samples and field-adaptable application. In this study, we developed a species-specific molecular identification framework targeting a polymorphism-rich region of the mitochondrial cytochrome c oxidase subunit I (COI) gene, which is more time-efficient than sequencing-based COI DNA barcoding, for four economically important thrips species in southern China, including the globally invasive Frankliniella occidentalis. By aligning COI sequences, polymorphism-rich regions were identified and used to design four species-specific primer pairs, each containing a diagnostic 3′-terminal nucleotide. These primers were combined with a PBS-based DNA extraction workflow optimized for single-insect samples that minimizes dependence on column-based purification. The assay achieved a practical detection limit of 1 ng per reaction, demonstrated species-specific amplification, and maintained reproducible amplification at DNA inputs of ≥1 ng per reaction. Notably, PCR inhibition caused by crude extracts was effectively alleviated by fivefold dilution. Although the chemical identities of the inhibitors remain unknown, interspecific variation in inhibition strength was observed, with T. hawaiiensis exhibiting the strongest suppression, possibly due to differences in lysate composition. This integrated framework balances target specificity, operational simplicity, and dilution-mitigated inhibition, providing a field-adaptable tool for thrips species identification and invasive species monitoring. Moreover, it provides a species-specific molecular foundation for downstream integration with visual nucleic acid detection platforms, such as the CRISPR/Cas12a system, thereby facilitating the future development of portable molecular identification workflows for small agricultural pests. Full article

Transcranial magnetic stimulation (TMS) is a non-invasive neuromodulation technique that utilizes magnetic fields to induce cortical electric currents, enabling both the measurement and modulation of neuronal activity. Initially developed as a diagnostic tool, TMS now serves dual roles in clinical neurology, offering insight into neurophysiological dysfunctions and the therapeutic modulation of abnormal cortical excitability. This review examines key TMS outcome measures, including motor thresholds (MT), input–output (I/O) curves, cortical silent periods (CSP), and paired-pulse paradigms such as short-interval intracortical inhibition (SICI), short-interval intracortical facilitation (SICF), intracortical facilitation (ICF), long interval cortical inhibition (LICI), interhemispheric inhibition (IHI), and short-latency afferent inhibition (SAI). These biomarkers reflect underlying neurotransmitter systems and can aid in differentiating neurological conditions. Diagnostic applications of TMS are explored in Parkinson’s disease (PD), dystonia, essential tremor (ET), Alzheimer’s disease (AD), and mild cognitive impairment (MCI). Each condition displays characteristic neurophysiological profiles, highlighting the potential for TMS-derived biomarkers in early or differential diagnosis. Therapeutically, repetitive TMS (rTMS) has shown promise in modulating cortical circuits and improving motor and cognitive symptoms. High- and low-frequency stimulation protocols have demonstrated efficacy in PD, dystonia, ET, AD, and MCI, targeting the specific cortical regions implicated in each disorder. Moreover, the successful application of TMS in differentiating and treating AD and MCI underscores its clinical utility and translational potential across all neurodegenerative conditions. As research advances, increased attention and investment in TMS could facilitate similar diagnostic and therapeutic breakthroughs for other neurological disorders that currently lack robust tools for early detection and effective intervention. Moreover, this review also aims to underscore the importance of maintaining standardized TMS protocols. By highlighting inconsistencies and variability in outcomes across studies, we emphasize that careful methodological design is critical for ensuring the reproducibility, comparability, and reliable interpretation of TMS findings. In summary, this review emphasizes the value of TMS as a distinctive, non-invasive approach to probing brain function and highlights its considerable promise as both a diagnostic and therapeutic modality in neurology—roles that are often considered separately. Full article

This study presents an optimal design combined with comprehensive multiphysics validation to enhance the torque density of a coaxial magnetic gear (CMG) incorporating an overhang structure. Four high non-integer gear-ratio CMG configurations exceeding 1:10 were designed using different pole-pair combinations, and three-dimensional finite element method (3D FEM) was employed to accurately capture axial leakage flux and overhang-induced three-dimensional effects. Eight key geometric design variables were selected within non-saturating limits, and 150 sampling points were generated using an Optimal Latin Hypercube Design (OLHD). Multiple surrogate models were constructed and evaluated using the root-mean-square error (RMSE), and the Kriging model was selected for multi-objective optimization using a genetic algorithm. The optimized CMG with a 1:10.66 gear ratio achieved a 130.76% increase in average torque (65.75 Nm) and a 162.51% improvement in torque density (117.14 Nm/L) compared with the initial design. Harmonic analysis revealed a strengthened fundamental component and a reduction in total harmonic distortion, indicating improved waveform quality. To ensure the feasibility of the optimized design, comprehensive multiphysics analyses—including electromagnetic–thermal coupled simulation, high-temperature demagnetization analysis, and structural stress evaluation—were conducted. The results confirm that the proposed CMG design maintains adequate thermal stability, magnetic integrity, and mechanical robustness under rated operating conditions. These findings demonstrate that the proposed optimal design approach provides a reliable and effective means of enhancing the torque density of high gear-ratio CMGs, offering practical design guidance for electric mobility, robotics, and renewable energy applications. Full article

Image style transfer aims to synthesize visually compelling images by blending the structural content of one image with the artistic style of another. While arbitrary style transfer methods such as AdaIN and WCT offer flexibility, they often suffer from content distortion and style leakage, particularly in complex or cross-domain scenarios. Recent approaches like ArtFlow address these issues through reversible architectures, effectively reducing distortion and leakage while providing consistent reconstruction. However, ArtFlow’s reliance on fixed normalization parameters limits adaptability across diverse content–style pairs, motivating further improvement. In this paper, we propose ISTMAF (Image Style Transfer based on Meta ArtFlow), a scalable and adaptive reversible framework that incorporates Meta ActNorm—a meta-network that dynamically generates input-specific normalization parameters. To further improve the integration of content and style, we introduce an algebraic–geometric parameter fusion strategy in the reverse process, along with a hierarchical aligned style loss to reduce artifacts and enhance visual coherence. Experiments on MS-COCO, WikiArt, and face datasets demonstrate that ISTMAF achieves superior content preservation and style consistency compared to recent state-of-the-art methods. Quantitative evaluations using SSIM and Gram difference further confirm its effectiveness. ISTMAF provides a flexible, high-fidelity solution for style transfer and shows strong generalization potential, paving the way for future extensions in multi-style fusion, video stylization, and 3D applications. Full article

Background: Recombinant human arginase (rhArg) has been proven to exhibit an anticancer effect via arginine starvation. To further improve the efficacy of rhArg, we examined the feasibility of a combination strategy with Bcl-2 inhibitors (ABT263 and ABT199) or an antidiabetic drug (metformin) and investigated the mechanistic basis for these strategies. Methods: The combination effects were evaluated in a panel of human cancer cell lines modeling pancreatic ductal carcinoma (PDAC), triple-negative breast cancer (TNBC), colorectal cancer (CRC) and glioblastoma (GBM). Western blot analysis was used to evaluate the expression of apoptotic and cell cycle markers. MTT assay was used to evaluate the combination efficacy. Flow cytometric assays were used to investigate the apoptotic and cell cycle effects. Results: The combination of rhArg with sublethal doses of ABT263 significantly induced dose-dependent apoptosis, with elevated expression of apoptotic markers and a CI of 0.47 in U251. The combination inhibited CDK2 and cyclin A expression, indicating that the observed synergy also resulted from cell cycle arrest. We also found that rhArg + metformin was synergistic in a time-dependent manner. Compared to other amino acid depletion agents, rhArg + ABT263 was the most favorable combination pair. Conclusions: The combination of rhArg and ABT263 enhanced apoptosis and cell cycle arrest, demonstrating a potential broad-spectrum antitumor strategy. Full article

Background/Objectives: A common challenge in both forensic and bioarchaeological research is commingling, the intermixing of skeletal material originating from multiple individuals or contexts. To tackle that problem past reassociation methods primarily relied on visual assessment or metric comparisons. However, recent advances in geometric morphometrics show strong potential for improving the sorting of commingled remains. This study applies a three-dimensional (3D) geometric morphometric method to evaluate its effectiveness in reassociating adjoining thoracic vertebrae. Methods: Two vertebral pairs, T4–T5 and T5–T6, from 65 and 73 individuals, respectively, were analyzed. These pairs were chosen due to limited anatomical variability, while they were also the most consistently preserved pairs. All specimens were scanned using a structured-light 3D scanner, and the dataset was derived from three Greek skeletal collections representing different geo-chronological contexts. Fourteen anatomical landmarks were placed on the superior rim and articular facets of the lower vertebra and mirrored onto the lower rim and facets of the adjoining upper vertebra. To remove the size effects the landmark coordinates were converted to Procrustes coordinates, while examining morphological similarity was quantified using Euclidean distances. For each pair, the vertebrae with the smallest Euclidean distances were considered the most probable true anatomical matches. Results: The correct T4–T5 match fell within the three smallest distances in 66.2% of cases, while for the T5–T6 pair, correct matches were found between the first three possible matches in a percentage of 43.8%. These findings indicate that the method can eliminate roughly 50–70% of incorrect matches and therefore narrow the plausible pairings. Conclusions: Future research incorporating more pairs and an expanded landmark dataset may result in greater accuracy for reassociation with 3D geometric morphometrics. Full article

Background: Urine cytology remains widely used for surveillance of non-muscle-invasive bladder cancer despite well-known limitations in sensitivity, especially for low-grade tumors. Uromonitor^®, a molecular assay detecting TERT promoter, FGFR3, and KRAS mutations in voided urine, has emerged as a promising adjunct. To evaluate its suitability for routine use, a consolidated assessment of diagnostic performance and a direct comparison with urine cytology are needed. Methods: We conducted a prospectively registered systematic review (PROSPERO CRD420251173244), synthesizing all available studies that evaluated Uromonitor^® for the detection of urothelial carcinoma of the bladder (UCB). Methodological quality was assessed using the QUADAS-2 framework, and certainty of evidence was evaluated following GRADE for diagnostic tests. Sensitivity was prespecified as the primary endpoint. Comparative datasets were identified, and random-effects meta-analyses were performed for sensitivity, specificity, accuracy, and predictive values (PVs). Results: Across eight cohorts evaluating Uromonitor^®, 832 of 3196 patients (26.0%) had histologically confirmed UCB. Aggregated sensitivity was 0.55 (95% CI 0.52–0.58). Specificity was 0.95 (0.94–0.96). Accuracy was 0.85 (0.83–0.86). PPV was 0.79 (0.76–0.82), and NPV was 0.86 (0.84–0.87). Across seven paired datasets, urine cytology demonstrated a sensitivity of 0.42, a specificity of 0.91, an accuracy of 0.78, a PPV of 0.64, and an NPV of 0.81. Pooled odds ratio for sensitivity was 3.16 (0.73–13.76), while diagnostic accuracy yielded 1.71 (1.01–2.90). Differences in specificity and NPV were not statistically significant, whereas the PPV favored Uromonitor^®, reaching statistical significance in pooled analyses. Conclusions: Uromonitor^® demonstrates higher sensitivity and improved accuracy compared with urine cytology, although current performance remains insufficient for stand-alone surveillance. The sensitivity estimate showed very low certainty due to pronounced heterogeneity, underscoring the need for careful interpretation. With advancing DNA recovery methods, incorporation of droplet digital PCR, and rigorous evaluations in prospective multicenter studies, Uromonitor^® may become an integral element of risk-adapted follow-up strategies. Full article

Background: Fibromyalgia syndrome (FMS) and post-traumatic stress disorder (PTSD) may co-occur and are associated with increased symptom burden, functional impairment, and reduced quality of life. Accumulating evidence suggests shared neurobiological mechanisms. Trauma-focused interventions targeting maladaptive memory processes may therefore represent a relevant therapeutic approach in this population. Objective: To evaluate the feasibility, tolerability, and preliminary clinical associations of a brief reconsolidation-based therapy in women with comorbid FMS and PTSD. Methods: This multicenter pilot study included adult women diagnosed with FMS and PTSD who underwent six sessions of reconsolidation therapy combining traumatic memory reactivation with propranolol administration. Clinical outcomes were assessed at baseline and at 3-month follow-up using the Fibromyalgia Impact Questionnaire (FIQ), the Impact of Event Scale–Revised (IES-R), the Montgomery–Åsberg Depression Rating Scale (MADRS), the Beck Depression Inventory (BDI), the Rosenberg Self-Esteem Scale (RSES), and the SF-36. Changes over time were analyzed using paired statistical tests and linear mixed-effects models. Results: Fourteen participants completed the intervention and follow-up assessments. The intervention was feasible and well tolerated. Changes over time were observed in fibromyalgia-related quality of life (FIQ scores), PTSD symptom severity (IES-R), and depressive symptoms (MADRS, BDI), as well as in selected SF-36 domains, including vitality, social functioning, and mental health. A progressive decrease in IES-R scores was observed across treatment sessions. Conclusions: This pilot study suggests that reconsolidation-based therapy is feasible in women with comorbid FMS and PTSD and was associated with changes in PTSD symptoms and fibromyalgia-related functional impact. Given the exploratory design and absence of a control group, these findings should be interpreted cautiously and warrant confirmation in larger, controlled trials. Full article

Introduction: Nursing educators and clinical leaders face persistent challenges in engaging the next generation of nurses, often characterized by short attention spans, frequent phone use, and underdeveloped communication skills. This article describes the design and delivery of a full-day interactive teaching workshop for nursing faculty, senior clinical nurses, and nurse leaders, developed using a design-thinking approach supported by generative AI. Methods: The workshop comprised four thematic sessions: (1) Learning styles across generations, (2) Interactive teaching methods, (3) Application of interactive teaching strategies, and (4) Lesson planning and transfer. Generative AI was used during planning to create icebreakers, discussion prompts, clinical teaching scenarios, and application templates. Design decisions emphasized low-tech, low-prep strategies suitable for spontaneous clinical teaching, thereby reducing barriers to adoption. Activities included emoji-card introductions, quick generational polls, colored-paper reflections, portable whiteboard brainstorming, role plays, fishbowl discussions, gallery walks, and movement-based group exercises. Participants (N = 37) were predominantly female (95%) and represented multiple generations of X, Y, and Z. Mid- and end-of-workshop reflection prompts were embedded within Sessions 2 and 4, with participants recording their responses on colored papers, which were then compiled into a single Word document for thematic analysis. Results: Thematic analysis of 59 mid- and end-workshop reflections revealed six interconnected themes, grouped into three categories: (1) engagement and experiential learning, (2) practical applicability and generational awareness, and (3) facilitation, environment, and motivation. Participants emphasized the workshop’s lively pace and hands-on design. Experiencing strategies firsthand built confidence for application, while generational awareness encouraged reflection on adapting methods for younger learners. The facilitator’s passion, personable approach, and structured use of peer learning created a psychologically safe and motivating climate, leaving participants recharged and inspired to integrate interactive methods. Discussion: The workshop illustrates how AI-assisted, design-thinking-driven professional development can model effective strategies for next-generation learners. When paired with skilled facilitation, AI-supported planning enhances engagement, fosters reflective practice, and promotes immediate transfer of interactive strategies into diverse teaching settings. Full article

Background: Anorexia nervosa (AN) may require nasogastric tube (NGT) feeding when oral intake is insufficient. Evidence on the psychological impact and prognostic correlates of NGT use in adolescents affected with AN is limited. Methods: Fifty-seven adolescent inpatients (96.5% female; age range 12–18 years; and mean age 15.0 ± 1.51 years) affected with AN admitted in a child psychiatry ward and treated with NGT re-feeding in addition to oral nutrition were included in the study. A 21-item VAS questionnaire was administered at intake (T0), after NGT introduction (T1), after one week of NGT use (T2), and after NGT dismissal (T3) to assess the physical and psychological effects. Participants were also assessed with psychometric measures including personality (TCI), eating psychopathology (EDI-2), general psychopathology (BDI-II, SCL-90-R, and TAS), and family functioning (FAD). The measures were compared between each timepoint with paired t-tests and ANOVA for repeated measures. Pearson correlations were performed between the VAS scores and psychometric measures. Results: From admission to discharge, weight increased by +3.2 kg and BMI by +1.2 kg/m². Items 1, 3, 4, 6, 15, 18, and 20 of the VAS questionnaire items showed significant improvement over time. TCI personality traits, EDI-2 eating and BDI, SCL-90 and TAS general psychopathology, and FAD family functioning were related to NGT perception by the AN adolescents. Conclusions: NGT was helpful in weight progression during inpatient treatment. It was generally well tolerated, with progressive improvement in psychological and physical discomfort during treatment. The meaningful associations with specific psychometric features suggest the possibility to tailor the NGT use based on adolescent characteristics. Multidisciplinary care and tailored psychoeducation may enhance NGT acceptance. Full article

Remote photoplethysmography (rPPG) enables non-contact acquisition of human physiological parameters using ordinary cameras, and has been widely applied in medical monitoring, human–computer interaction, and health management. However, most existing studies focus on estimating specific physiological metrics, such as heart rate and heart rate variability, while paying insufficient attention to reconstructing the underlying rPPG waveform. In addition, publicly available datasets typically record facial videos accompanied by fingertip PPG signals as reference labels. Since fingertip PPG waveforms differ substantially from the true photoplethysmography (PPG) signals obtained from the face, deep learning models trained on such datasets often struggle to recover high-quality rPPG waveforms. To address this issue, we collected a new dataset consisting of palm-region videos paired with wrist-based PPG signals as reference labels, and experimentally validated its effectiveness for training neural network models aimed at rPPG waveform reconstruction. Furthermore, we propose a generative adversarial network (GAN)-based pulse-wave synthesis framework that produces high-quality rPPG waveforms by denoising the mean green-channel signal. By incorporating time-domain peak-aware loss, frequency-domain loss, and adversarial loss, our method achieves promising performance, with an RMSE (Root Mean Square Error) of 0.102, an MAPE (Mean Absolute Percentage Error) of 0.028, a Pearson correlation of 0.987, and a cosine similarity of 0.989. These results demonstrate the capability of the proposed approach to reconstruct high-fidelity rPPG waveforms with improved morphological accuracy compared to noisy raw rPPG signals, rather than directly validating health monitoring performance. This study presents a high-quality rPPG waveform reconstruction approach from both data and model perspectives, providing a reliable foundation for subsequent physiological signal analysis, waveform-based studies, and potential health-related applications. Full article

This study investigated the impact of post-activation performance enhancement (PAPE) on the parameters of the 3 min all-out test (3MT) in non-motorized tethered running, applying the concept of complex networks for integrative analysis. Ten recreational runners underwent anthropometric assessments, a one-repetition maximum test (1RM), a running ramp test, and 3MT trials under both PAPE and CONTROL conditions across five separate sessions. The conditioning activity consisted of two sets of six back squats at 60% 1RM. For each scenario, complex network graphs were constructed and analyzed using Degree, Eigenvector, PageRank, and Betweenness centrality metrics. In the PAPE condition, anthropometric parameters and parameters related to aerobic efficiency exhibited greater centrality, ranking among the top five nodes. Paired Student’s t-tests (p ≤ 0.05) revealed significant differences between conditions for end power (EP-W) (CONTROL: 407.83 ± 119.30 vs. PAPE: 539.33 ± 177.10 (effect size d = −0.84)) and end power relativized by body mass (rEP-W·kg⁻¹) (CONTROL: 5.38 ± 1.70 vs. PAPE: 6.91 ± 2.00 (effect size d = −0.76)), as well as for the absolute and relative values of peak output power, mean output power, peak force, and mean force. These findings suggest that PAPE alters the configuration of complex networks, increasing network density, and may enhance neuromuscular function and running economy. Moreover, PAPE appears to modulate both aerobic and anaerobic contributions to performance. These results highlight the importance of network-based approaches for advancing exercise science and providing individualized strategies for training and performance optimization. Full article

This study examines whether green hydrogen production using combined wind and solar energy on Marmara Island can meet the island’s electricity demand and fuel the fuel needs of a hydrogen-powered ferry. A hybrid system consisting of a 10 MW wind farm, a 3 MW solar PV system, and a PEM electrolyzer sized to meet the island’s hydrogen demand was modeled for the island, located in the southwestern Sea of Marmara. The hydrogen production potential, energy flows, and techno-economic performance were evaluated using HOMER-Pro 3.18.4 version. According to the simulation results, the hybrid system generates approximately 62.6 GWh of electricity annually, achieving an 82.8% renewable energy share. A significant portion of the produced energy is transferred to the electrolyzer, producing approximately 729 tons of green hydrogen annually. The economic analysis demonstrates that the system is financially viable, with a net present cost of USD 61.53 million and a levelized energy cost of USD 0.175/kWh. Additionally, the design has the potential to reduce approximately 2637 tons of CO₂ emissions over a 25-year period. The results demonstrate that integrating renewable energy sources with hydrogen production can provide a cost-effective and low-carbon solution for isolated communities such as islands, strengthening energy independence and supporting sustainable transportation options. It has been demonstrated that hydrogen produced by PEM electrolyzers powered by excess energy from the hybrid system could provide a reliable fuel source for hydrogen-fueled ferries operating between Marmara Island and the mainland. Overall, the findings indicate that pairing renewable energy generation with hydrogen production offers a realistic pathway for islands seeking cleaner transportation options and greater energy independence. Full article

Dye wastewaters are produced in huge amounts every year world-widely and they pose serious threats to ecosystems and human health if not treated properly. High-concentration organic dye wastewaters are usually treated through multiple steps including pretreatment and advanced treatment. In this work, TiO₂ nanoparticles suspended in high-concentration rhodamine B (Rh B) solutions up to 500 mg/L have been subjected to magnetic stirring to initiate tribocatalytic degradation of Rh B. While 100 and 200 mg/L Rh B solutions can be rather thoroughly degraded in beakers with four kinds of bottom/coatings (glass, Al₂O₃, Ti, and PTFE), 300 mg/L Rh B solutions can only be degraded effectively in a beaker with PTFE coating. Even 400 and 500 mg/L Rh B solutions can also be degraded rather thoroughly by TiO₂ nanoparticles in a PTFE-coated beaker. EPR analyses revealed that PTFE coating enhanced the formation of both hydroxyl radicals and superoxide radicals by magnetic stirring-stimulated TiO₂ nanoparticles. These findings highlight the importance of the synergism between materials in friction pairs for tribocatalysis and demonstrate a one-step tribocatalytic degradation of Rh B solutions with concentrations of real Rh B wastewaters. Full article