Search Results (2,927)

The shock wave/boundary layer interaction (SWBLI) is a common flow phenomenon in high-speed aircraft flow fields. It is important to control the separation caused by SWBLI. This paper investigates the influence of spanwise periodic-motion micro-vortex generators (MVGs) on SWBLI. A combination of particle image velocimetry (PIV), high-frequency Schlieren and fluorescent oil-film visualization was employed to analyze the interaction region of a flat plate compression ramp model. The incoming flow Mach number was 6, and the MVGs oscillation frequencies were 10 Hz, 30 Hz and 50 Hz, respectively. The results reveal that neither the presence nor the spanwise oscillation in the MVGs fundamentally altered the separation–reattachment flow structure. Nonetheless, both factors contributed to an increase in boundary layer thickness and an expansion of the absolute size of the separation region. The trailing vortices generated by the MVGs exerted a stabilizing influence on near-wall turbulent structures, resulting in a reduction in surface friction drag. However, the drag reduction effect diminished as the oscillation frequency increased, corresponding to a weakening of the trailing vortex strength. Additionally, the MVGs and their spanwise oscillation modulated the low-frequency energy distribution of the flow, amplifying the low-frequency oscillation peak associated with the separation shock and raising the time-averaged oscillation position. Full article

False base station (FBS) attacks exploit the attach window before the network authenticates to the device. Existing User Equipment (UE)-side detectors typically need either labeled attack data, which is scarce and does not generalize to unseen attacks, or models too heavy for the resource budget of a smartphone or embedded endpoint. This study presents a lightweight UE-side detector built on a first-order Markov chain over a four-tuple state of packet type, direction, message identifier, and access-network type. A single counting pass fits the 119 KB chain, and thresholds are derived from normal traffic, so no attack labels are consulted. The capture path requires root and Qualcomm modem diagnostic access. Attacks surface as low-probability transitions, rare field values, and anomalous pacing, fused into a per session verdict with per-message attribution. On 192 commercial, testbed, and public LTE and 5G captures, the detector flags 51 of 53 attacks at an F1 of 88.70% in leakage-free leave-one-session-out evaluation and 96.23% once calibration covers the scored sessions. In five-fold cross-validation its F1 of 86.21% trails the strongest supervised baselines by margins that are not statistically significant, and it records the lowest latency (0.46 ms) and smallest working set (8.8 MB) among the eleven detectors benchmarked. Full article

Lupinus is recognized as a nutrient-dense legume rich in protein, raw fiber, antioxidants, and unsaturated fatty acids, contributing significantly to human nutrition and health. In Ecuador, the Andean Crops and Plant Genetic Resources program of INIAP maintains a germplasm bank comprising 257 uncharacterized accessions. This study aimed to evaluate the nutritional and phytochemical composition of ten promising sweet Lupin genotypes (L. mutabilis) exhibiting good agronomic characteristics, resistance and/or tolerance to biotic and abiotic stresses, superior grain quality and significantly reduced seed alkaloid content in experimental trails. These genotypes were compared with two accessions of L. albus and L. angustifolius used as control genotypes. Except for carbohydrate content, L. mutabilis genotypes exhibited similar or superior nutritional profiles compared to genotype controls with high protein (44.7%), fat (19.91%), and ash (4.16%) contents and reduced alkaloid concentrations, notably, two genotypes LmAnds16 and LmFRs43 with 0.04%. However, it exhibited the highest polyphenol (8.84 mg·g⁻¹) and flavonoid (0.67 mg·g⁻¹) concentrations and antioxidant activity for ABTS (19.94 µmol TE·g⁻¹) and FRAP (300.30 µmol TE·g⁻¹) on a dry weight basis (DW). These results are important for the generation of new varieties of Lupinus focused on its nutritional quality and to produce nutraceutical and functional foods. Full article

Current pitchside concussion assessments are limited by low sensitivity, reliance on player self-report, and the need for on-site healthcare professionals. Impairments in cognitive function and motor control are a key predictor of concussive injury. The Circle Sequencing Task (CST) is a newly developed concussion assessment tool to assess both cognitive function and motor control in one test. Here, we seek to assess the CST’s ability to differentiate between healthy and recently concussed individuals relative to existing cognitive tests. Concussed (n = 13; mean age 26 ± 7 yrs) and healthy (n = 13; mean age 28 ± 9 yrs) participants completed the CST, the Trail Making Test, a Go/No-Go task, the Digit Span Test and a simple reaction time task online via a link. Concussed individuals showed significant deficits in inhibitory control (p = 0.01) and memory (p = 0.04) components of the CST compared to healthy controls, with these components showing a larger effect size (d = 1.05 and d = 0.78, respectively) than metrics derived from the existing cognitive tests of Go/No-Go (d = 0.37) and the Digit Span Test (d = 0.52). The findings provide preliminary evidence that CST-derived inhibitory control and memory metrics may differ between recently concussed individuals and healthy controls and warrant further validation in larger clinically controlled studies. Full article

Background/Objectives: Family-centered care (FCC) in neonatal intensive care units (NICUs) can improve infant and family outcomes. Inconsistencies in outcome reporting across FCC trials limits the comparability of findings. Aim: To develop a core outcome set (COS) for evaluating FCC interventions in neonatal intensive care settings. Methods: A list of outcomes was generated through systematic reviews and stakeholder focus groups. A three-round eDelphi study with stakeholders was conducted, followed by an expert consensus meeting. Results: The reviews and focus groups identified 72 outcomes for round 1. Sixty-three healthcare professionals (HCP), 37 parents and five ex-NICU patients completed round 1, with 12 new outcomes suggested. In round 2, 54 HCP, 28 parents and four ex-NICU patients scored 84 outcomes, resulting in the exclusion of 12 low-importance outcomes. In round 3, 45 HCP, 28 parents, and two ex-NICU patients scored the remaining 72 outcomes. Overall, 71% of participants completed all three rounds. Round 3 yielded 48 outcomes that met the predefined consensus criteria and were taken forward to the expert consensus meeting. The final 10 COS outcomes included six outcomes related to parents, namely, bonding with their infant, participation in care, parental readiness for discharge, stress, shared decision-making, and parental knowledge of the infant’s care and treatment, and four outcomes related to infants, namely, infant pain and stress, growth and development, nosocomial infection, and length of NICU stays. Conclusions: A COS for FCC research and practice in neonatal intensive care settings has been established. Implementation of this COS may improve reporting consistency and strengthen evidence synthesis across FCC trails, thereby better informing care delivery in clinical practice. Full article

Continuous detection of critical events such as falls and health deterioration is enabled by Internet of Things (IoT)-enabled monitoring systems in elderly care. However, system reliability is undermined by real-world sensor degradation, which produces high false-alarm rates and missed incidents. Existing systems lack differentiated governance mechanisms for acute decisions (e.g., fall detection, requiring high sensitivity and low latency) versus cumulative decisions (e.g., health deterioration monitoring, requiring stability and specificity). Conventional approaches treat data quality as a preprocessing concern rather than as a formal determinant of decision admissibility, creating a gap between data availability and decision reliability. In this paper, Decision-Critical Data Quality Contracts are proposed as a governance paradigm in which decision analytics is explicitly separated from admissibility. Symmetric (uniform) and asymmetric (adaptive) enforcement strategies are explored and implemented through a hierarchical Decision Quality Tree framework for context-aware quality assessment. A simulation-based evaluation was conducted over 72 h periods across three degradation scenarios: controlled (5% missingness), realistic (15%), and stress (30% with sensor failures). The no-contract, symmetric, asymmetric, and Decision Quality Tree approaches were compared on metrics including missed alarms, coverage, stability, false alarms, and audit trail completeness. The results demonstrate that missed fall alarms are reduced by up to 71% by the Decision Quality Tree compared to asymmetric enforcement (from 28.57% to 8.20%). Coverage improved to 97.80% and stability to 95.20%. The lowest false-alarm rates are achieved by the Decision Quality Tree (0.90% for acute decisions, 2.80% for cumulative decisions). Audit trail completeness shows a 70.6% improvement over the best baseline (score: 0.87 vs. 0.51). Ablation studies confirm that these improvements stem from synergistic combinations of fallback paths and context awareness. The Decision Quality Tree framework establishes a new balance between system availability and decision safety, providing a foundation for trustworthy IoT governance in elderly care. Full article

This study investigated the impact of recreational use on trails in the Atlantic Forest (Ubatuba Municipality, São Paulo State, Brazil) using physical, chemical and geochemical indicators. Five trails with different morphological characteristics were selected, and paired samples were collected from the trail surface (TR) and trail-side slope (TA). The statistical approach combined local analyses for each trail with global clustering (n = 19) using Student’s t-test, along with multivariate modeling through Principal Component Analysis (PCA) and Pearson correlation. The analysis included physical attributes (bulk density, particle size and porosity), chemical attributes (pH, organic matter and macronutrients) and geochemical compositions (major oxides and trace elements determined by XRF). The overall results reveal systematic compaction in the trail surface (TR), with bulk density increasing from 1.32 g/cm³ (TA) to 1.37 g/cm³ (TR) (p = 0.038), and total porosity decreasing from 47.26% to 45.34% (p = 0.016). In contrast, the geochemical oxide composition (SiO₂, Al₂O₃, Fe₂O₃) remained stable (p > 0.05), indicating the resilience of the mineral matrix. However, significant local dynamics (p < 0.05) in K₂O and MgO were observed in more preserved trails, associated with surface compaction and fragmentation of the litter layer, and phosphorus showed strong dependence on organic matter (r = 0.85). Multivariate analysis indicates that degradation is predominantly physical and micromorphological at the local scale, with bulk density and porosity being the most sensitive indicators for environmental monitoring. Full article

The results of a multiscale study of fault and fracture geometry, distribution, density, and intensity are reported for Mesozoic platform carbonates cropping out along the axial zones of the southern Apennines fold-and-thrust belt, Italy. By integrating field structural observations with digital outcrop analysis, the study focuses on Cretaceous limestone rocks exposed along natural creeks and artificial trails of the Castelsaraceno area, Raparo Mt., southern Italy. There, the limestone beds are bounded by mm- to cm-thick marly–clayey interbeds, forming a well-layered succession made up of a few m-thick bed packages bounded by several cm-thick clayish interlayers. The carbonate multilayer was first affected by thrust tectonics, with the formation of low-angle intra-carbonate thrust faults and fault bend-folding. Then, the multilayer was crosscut by extensional–transtensional high-angle faults, which displaced the previously formed contractional structural elements, and allowed carbonate exhumation from shallow crustal depths. At outcrop scales, thrust-related deformation was solved by low-angle joints and veins, rare high-angle stylolites, and low-angle sheared fractures displaying reverse kinematics. Quantitative analyses of fracture density (P20) and intensity (P21) conducted on selected portions of the thrust fault zones indicate that the low-angle joints and veins attain their highest values in the vicinity of the main slip surfaces, whereas they are almost absent in the surrounding carbonate host rocks. Plio-Quaternary transtensional deformation was solved by NW–SE- and NE–SW striking faults. The latter fault set, nicely exposed along the flanks of the Raganello Creek, was characterized by right-lateral components of slip. Incipient faults, with ca. 1 cm throw, are made up of vertically discontinuous slip surfaces, which crosscut single bed packages and abut against clayish interlayers. The slip surfaces form conjugate geometries, and are associated to high-angle fractures and veins striking NE–SW, dissecting the bed packages. The fault core is virtually absent, whereas the damage zones are very discontinuous along dip. The P20 values computed for the high-angle fractures and veins increase toward the slip surfaces, whereas the P21 values remain nearly constant. These data are interpreted as being due to fault nucleation processes associated with fracture nucleation within the limestone rocks. NE–SW striking small faults displaying throws between 10 and 60 cm are comprised of through-going main slip surfaces crosscutting multiple bed packages, and poorly developed, discontinuous fault cores flanked by m-thick damage zones. The damage zones include sub-parallel high-angle shear fractures, fractures and veins showing a positive correlation between P20 and P21, whose values increase in the vicinity of the main slip surfaces. Such a positive correlation is interpreted as due to fault growth by linkage and coalescence of pre-existing high-angle fractures, and formation of fault-related joints and veins at the extensional quadrants of single shear fractures. Similarly, large-scale NE–SW striking mature faults with throws on the order of tens of meters, made up of a m-thick fault core and 10 s of m-thick damage zones including sub-parallel fractures and veins, also show a positive P20 and P21 correlation. The main outputs of this work are synthesized into a conceptual model illustrating the transition from thrust-related deformation to extensional–transtensional faulting, documenting the evolution of fracture networks from incipient-to-small-to-mature faults. Full article

This study numerically investigates the effects of inlet swirl intensity on particle deposition on the surface of a static vane by adjusting the inlet swirl intensity and inlet hot streak conditions. The results indicate that swirl significantly alters the vane surface temperature distribution, increasing the average surface temperature by up to 1.02% under the strongest swirl condition compared to the non-swirl case. On the pressure side, enhanced swirl shifts the high-temperature region toward the vane root, while on the suction side, the overall temperature increases. Particle deposition behavior is strongly size-dependent: swirl reduces the deposition efficiency for small particles but slightly increases it for large particles. Additionally, swirl modifies the deposition pattern, leading to the formation of dart-shaped grooves in the central pressure side and crescent-shaped protrusions near the trailing edge, which in turn affects the aerodynamic performance. The pressure-coefficient fluctuation is predominantly observed on the pressure side. These findings provide insight into the coupled effects of swirl and particle dynamics on vane surface degradation and flow behavior. Full article

Protected areas increasingly require functional zoning approaches that integrate biodiversity conservation, ecosystem service provision, and human use. This study developed a data-driven functional zoning framework for Jirisan National Park, South Korea, by combining ecosystem service assessment with Self-Organizing Map (SOM)-based spatial typology. Five ecosystem services—water yield, sediment retention, carbon storage, net ecosystem productivity, and habitat quality—were assessed using InVEST, RUSLE, and locally derived carbon-related coefficients. These indicators were integrated with topographic and anthropogenic disturbance variables, including distances to roads and trails. The SOM analysis classified the park into seven functional spatial types with distinct environmental and ecosystem service characteristics. High-altitude areas near major trails were characterized by strong visitor pressure and mismatches among regulating services, whereas interior forest areas showed high multifunctionality and evenness, indicating stable ecosystem service provision. Low-altitude facility-dense and disturbance-adjacent zones showed relatively low habitat quality or service imbalance, highlighting the need for restoration-oriented management. These results suggest that ecosystem service bundles, multifunctionality, and evenness can provide a useful basis for functional zoning and evidence-based management of mountainous national parks. Full article

Fisetin is a bioactive flavanol with reported anticancer activity, although its mechanisms in leukaemia and potential for combination therapy remain incompletely understood. This study investigated the cytotoxic and mechanistic effects of fisetin, alone and combined with pinocembrin, in human leukaemia cells. Cell viability, apoptosis, and cell cycle progression were assessed by flow cytometry; protein expression in Jurkat cells was assessed by Western blotting; and molecular docking was used to evaluate interactions with the Fas receptor. Drug interactions were quantified using ZIP synergy analysis, and cytotoxicity and clonogenic survival were evaluated using soft-agar colony formation assays in K562 cells. Fisetin significantly reduced cell viability and induced apoptosis, accompanied by caspase-8 cleavage, p62 accumulation, and CDK4 downregulation, consistent with activation of extrinsic apoptosis, impaired autophagic flux, and cell cycle inhibition in Jurkat cells. Docking analysis supported a potential interaction with the Fas receptor, which was confirmed using the Fas receptor antagonist Met-12. Co-treatment with pinocembrin enhanced fisetin-mediated cytotoxicity and produced synergistic effects, particularly in Jurkat cells (ZIP score > 10), while synergistic interactions at specific sub-IC₅₀ concentrations were also observed in K562 cells. Combination treatment further enhanced caspase-8 activation, reduced CDK4 expression in Jurkat cells, and significantly suppressed clonogenic survival in K562 cells compared with single-agent treatments. These findings suggest that fisetin promotes caspase-8-dependent apoptosis, potentially involving Fas-associated signalling, and highlight fisetin–pinocembrin combination therapy as a promising strategy for leukaemia treatment. Full article

Background/Objectives: Respiratory tract symptoms, urinary symptoms, and acute fevers frequently prompt emergency urgent care visits. Distinguishing bacterial from viral or non-bacterial etiology remains difficult because clinical features overlap and laboratory microbiological tests are often non-specific or delayed. The MeMed BV^® test is a rapid host-response assay that combines TRAIL, IP-10, and CRP into a composite score to differentiate between bacterial and viral/non-bacterial infections within 15 min. The objective of this systematic review and meta-analysis was to evaluate the diagnostic accuracy and clinical utility of the MeMed BV test in adults and children with suspected respiratory tract infections, urinary tract infections, and undifferentiated fever. Methods: The review followed PRISMA-DTA guidelines. Medline, Embase, CINAHL, and the Cochrane Library databases were searched. The risk of bias was assessed using the QUADAS-2, Cochrane RoB 2.0, ROBINS-I, and JBI tools. Where appropriate, meta-analyses were performed using a bivariate random-effects or HSROC model. Results: Sixteen studies (12 diagnostic test accuracy (DTA) studies and four non-DTA studies) were included. The pooled sensitivity was 91% (95% CI: 86–94%), and specificity was 92% (95% CI: 91–93%), with consistent accuracy in adults (Sensitivity 93%/Specificity 91%) and children (Sensitivity 88%/Specificity 93%). The non-DTA studies demonstrated that MeMed BV-guided management improved antibiotic stewardship: antibiotics were prescribed in 20.6% of viral versus 73.2% of bacterial cases, and clinician adherence to MeMed BV results reached 75–80%. Conclusions: The MeMed BV test demonstrates consistently high diagnostic accuracy and is associated with improved antibiotic decision-making, supporting its integration into clinical workflows. Full article

The Arteni volcanic complex (Armenia) represents a distinctive volcanic landscape characterized by well-preserved pyroclastic deposits, rhyolitic domes, extensive obsidian flows, and significant archaeological evidence. This study aims to evaluate the geoheritage value of the complex and to develop a scientifically grounded geotouristic trail model based on the targeted selection of representative sites. Field-based investigations were integrated with a simplified semi-quantitative assessment of selected sites and Geographic Information System (GIS)-supported spatial analysis, including topographic, viewshed, and accessibility analyses. The results allowed for the selection of nine representative sites, effectively representing the principal stages of volcanic evolution, including explosive eruptions, lava flow emplacement, and dome formation. Spatial analysis demonstrates that the selected sites enable the development of a coherent, accessible, and scientifically meaningful geotouristic route while balancing scientific representativeness with visitor accessibility and safety. In addition, the widespread occurrence of obsidian and associated archaeological artifacts highlights the combined geological and cultural significance of the area. The proposed approach provides a transferable framework for the development of geotourism in volcanic regions and contributes to geoheritage conservation, geoeducation, and sustainable regional development. Full article

A key mechanism in the pathogenesis of cerebral small vessel disease (CSVD) is endothelial dysfunction associated with impaired metabolism of nitric oxide (NO) and its main substrate, L-arginine. The aim of the study was to assess parameters of L-arginine metabolism and their association with MRI-defined brain damage in CSVD patients. A total of 100 CSVD patients (according to MRI STRIVE standards) and cognitive impairment (CI) of varying severity, as well as 20 healthy volunteers, were analyzed. Levels of L-arginine and its metabolites—L-ornithine, L-citrulline, and asymmetric dimethylarginine (ADMA)—were measured; diffusion tensor MRI, MRI volumetry, and morphometry were performed. A threshold level of L-arginine (51.25 μmol/L) was identified, above which an association with CI was observed. Patients with L-arginine ≥ 51.25 μmol/L demonstrated poorer performance on cognitive tests (Stroop test, trail-making test (TMT)-B, TMT B–A, 10-word test) and more severe brain damage, reflected by greater severity of MRI markers (white matter hyperintensities, microbleeds), changes in brain component volumes, cortical atrophy in specific regions, and impairment of white matter microstructural integrity. The obtained data indicate a pathogenetic link between disturbances in L-arginine homeostasis and the development of CSVD with CI and support the need for further studies aimed at refining approaches to their correction. Full article

This paper investigates human–AI collaboration through explainable AI where we interpret the results of barefoot print clustering using unsupervised machine learning. This can be used to identify the number of individuals from barefoot prints on the ground as a tool in forensics or anti-poaching. A self-supervised vision transformer, DINOv2, is used to automatically extract feature embeddings from localized barefoot-print regions to identify trails belonging to an individual on soil substrate. Furthermore, we introduce an Embedding Spatial Attribution Module (ESAM) to generate spatial attribution heatmaps, enabling visualization of discriminative regions that contribute to individual-specific trail identification and improving model explainability. The proposed method is named XTrail-ID, an explainable human footprint trail identification framework with two variants, OBB-XTrail-ID (oriented bounding box-based), and SEG-XTrail-ID (segmentation-based). We quantify embedding similarity using three complementary metrics: cosine similarity, Pearson correlation coefficient, and Spearman rank correlation. Twenty adults (ten males, ten females) participated, with a total of 1000 trail images extracted from UAV imagery. SEG-XTrail-ID using cosine similarity yielded the highest performance, with (3.21) discriminability and (94.2%) accuracy, while OBB-XTrail-ID using cosine similarity achieved (2.54) discriminability and (91.5%) accuracy. In addition, the latter exhibited reduced consistency in footprint grouping when more than three individuals were present within a single frame. Full article