Search Results (8,289)

Odour recognition with low-cost gas sensors is challenging in open-air settings due to the non-specificity of the sensors and environmental variability. This can be mitigated by incorporating additional information into the classification process. This paper investigates odour-image multimodality in two case-studies of increasing complexity: banana ripening in open-air environment and strawberry ripening in a glasshouse environment. Data were collected using custom acquisition platforms equipped with cameras and MOX gas sensors operated with temperature modulation. For the visual modality, image classification (MobileNetV3) and object detection (YoloV5) models are trained. For the odour modality, established classical machine learning methods (Random Forest, XGBoost, SVM and Logistic Regression) and neural networks (1D-CNN, LSTM, MLP, and ELM) are employed. Each modality is analysed independently and together to critically assess scenarios in which combining modalities provides a clear advantage over using either modality alone. Results show that models trained on odour data achieve high accuracy in controlled environments but underperform in more dynamic open-air settings. Image-based models are sensitive to the image quality in all environments; however, they are more robust when deployed in different environments. Lastly, it is demonstrated that decision fusion consistently increases the accuracy, by as much as +12.36% in the banana ripening and +3.63% in the strawberry ripening scenario. Where decision fusion does not improve classification accuracy significantly, it is shown that the multimodal approach can still be leveraged to identify high-confidence predictions by selecting samples where both modalities agree on the label. Full article

Background/Objectives: Intranasal carboxymethyl-β-glucan (CMBG)-resveratrol represents an innovative therapeutic approach for upper airway diseases, combining antimicrobial, anti-inflammatory, antioxidant, immunomodulatory, and antiallergic properties. Despite growing preclinical and clinical evidence, consensus on its clinical applications remains poorly defined. To establish evidence-based recommendations for the clinical use of intranasal CMBG-resveratrol through a multidisciplinary Delphi Consensus process. Methods: A two-round Delphi Consensus was conducted. In the first round, an expert board prepared, reviewed, and validated 22 statements based on current scientific evidence from preclinical and clinical studies. In the second round, 38 multidisciplinary experts evaluated each statement using a 5-point Likert scale (from 5 = strongly agree to 1 = strongly disagree). Consensus was defined as ≥80% agreement (scores 4 + 5). Results: All 22 statements achieved consensus (range: 83–100%). Strong agreement (≥90%) was reached for statements regarding the pathophysiological rationale (infection-inflammation-oxidative stress cycle), resveratrol’s pleiotropic mechanisms of action, the role of CMBG in enhancing stability and bioavailability, and clinical efficacy in respiratory infections and allergic rhinitis. The mean scores ranged from 4.2 to 4.9, indicating high expert agreement across all domains. Conclusions: This multidisciplinary Delphi Consensus provides evidence-based recommendations for the use of intranasal CMBG-resveratrol to manage upper airway diseases, particularly respiratory infections and allergic rhinitis. The formulation’s multitarget approach addresses the complex pathophysiology of these conditions through simultaneous antimicrobial (mainly antiviral), anti-inflammatory, and immunomodulatory effects. Full article

Background/Objectives: Peritoneal micrometastases (micromets) remain a major barrier to durable cytoreduction in ovarian and other intra-abdominal cancers because lesions are difficult to visualize and are often resistant to systemic therapy. Liposomal doxorubicin (Dox) improves pharmacokinetics but can be limited by slow intratumoral release. Porphyrin-phospholipid (PoP) liposomes enable near-infrared light–triggered release of Dox (chemophototherapy (CPT)), creating an opportunity for intraoperative fluorescence-guided treatment planning and monitoring. Here, we evaluate a laparoscopic fluorescence imaging platform for quantifying light-triggered drug delivery. Methods: LC-Dox-PoP was applied to SCC2095sc and SKOV-3 cultures in 2D monolayers and 3D spheroid clusters. Dox fluorescence was quantified using a laparoscopic fluorescence imaging system over 1–9 μg/mL concentrations and compared with standard well-plate reader measurements. Porphyrin fluorescence was monitored to assess spheroid localization and photobleaching after activation light exposure. Results: For both cell lines, Dox fluorescence exhibited an approximate 4-fold increase at the maximum administered LC-Dox-PoP concentration, following a linear trend in both SCC2095sc and SKOV-3 cultures (R² = 0.97, 0.98 for 2D and R² = 0.98, 0.98 for spheroids). Laparoscope-derived fluorescence measurements agreed with well-plate reader measurements (R² = 0.89–0.96). Porphyrin fluorescence provided stronger complementary contrast for localizing spheroid constructs and decreased after activation light exposure, consistent with photobleaching during triggered release. Conclusions: These results support a quantitative imaging framework for fluorescence-guided monitoring of light-triggered liposomal drug release and may enable individualized CPT dosimetry for peritoneal micrometastases. Findings in SCC2095sc additionally suggest potential relevance of fluorescence-guided CPT for head and neck/oral cancer, where localized post-resection adjuvant treatment may improve control of residual disease. Full article

²⁰Na is a well-known $\beta$-delayed $\alpha$ emitter, owing to the large decay energy of ²⁰Na above the α + ¹⁶O threshold in the $A=5\alpha$ daughter nucleus ²⁰Ne. In this work, the decay property of ²⁰Na is investigated in detail via the β-γ β-α and β-γ-α coincidence spectroscopy. As the day-one experiment of the Beijing Rare Isotope Facility (BRIF), the intense ²⁰Na beam was produced using the Isotope Separator On Line (ISOL) technique through the 100 MeV proton bombarding a stack of MgO as a thick target. Specific interest was focused on the exotic decay mode of ²⁰Na; the previously reported low-energy α lines at 713 and 846 keV were confirmed, and several weak β-γ-α decay sequences were clearly identified for the first time, thanks to the strong resolving power of α-γ coincidence spectroscopy. The decay properties of ²⁰Na are compared to the shell model calculation, which agree reasonably well with the allowed β transition strengths and subsequent electro-magnetic transitions with the use of the sd shell-model space with the USDB interaction. Full article

Background/Objectives: Non-sedate magnetic resonance imaging (MRI) can be challenging for young children with neuromotor disabilities, often resulting in motion-degraded images that complicate interpretation in the context of underlying neuropathology. This study aimed to characterize tolerance factors and barriers related to awake MRI of the pediatric brain and to examine additional considerations in analyzing structural scans affected by motion and pathology. Methods: 10 children (mean age 5y9m; 5 girls; GMFCS level IV) with cerebral palsy (CP) underwent non-sedate 3T MRI of the brain. Tolerance factors and challenges were documented. MRI quality and automated structural preprocessing with Freesurfer (FS) v.8.0 were reviewed by a pediatric neuroradiologist and neurologist. To assess the impact of motion, automated basal ganglia segmentation was compared with manual segmentation. Segmentation accuracy was characterized using Dice Coefficient (D). Results: Five participants (50%) tolerated non-sedate structural MRI, although two of them were unable to remain still. Factors affecting MRI tolerance included sensitivity to scanner noise (n = 4), hyperkinetic movement (n = 2), difficulty with positioning/padding (n = 4), fear of clinical environment (n = 2) or confined scanner interior (n = 2), and earbud discomfort (n = 3). Automated structural preprocessing with FS yielded discrepancies in gray-white matter boundaries in motion-degraded scans, necessitating manual correction. Automated segmentation of motion-compromised scans closely agreed with manual delineation of the caudate (D ≥ 0.85) and putamen (D ≥ 0.78), while the pallidum was least reproducible (D = 0.58). Conclusions: Tailored acquisition and processing strategies are necessary to support non-sedate MRI in children with CP, preserve downstream neuroimaging analyses, and promote inclusion of underrepresented populations in research. Full article

Despite the paucity of high-quality data supporting its benefits, routinely scheduled, in-person post-treatment surveillance of early breast cancer (EBC) patients remains common. Evaluation of different follow-up strategies is required. We present the feasibility phase of an ongoing randomized controlled trial (RCT) comparing two different follow-up strategies. Patients with EBC who completed the acute phase of their treatment were randomized to receive either personalized or ASCO guideline-based follow-up care alone. Feasibility endpoints, including rate of accrual, physician participation, patient acceptance of randomization arm, and patient retention 1 year after randomization, are presented. Of 279 patients approached, 261 (93.5%) were eligible and provided consent. Median rate of accrual was 34.5 patients per month, and all healthcare providers who agreed to study participation (n = 11) approached patients. Patients were randomized to receive personalized (n = 131) or guideline-based (n = 130) follow-up. No patients declined their randomization arm. For all 261 randomized patients, the 1-year participant retention rate was 92.0% (240/261). This RCT confirms both patient and healthcare-provider enthusiasm for studies comparing different strategies for post-treatment surveillance. No patients withdrew consent post-randomization due to a preference for one study arm over the other. While clinical effectiveness and patient satisfaction remain to be analyzed, our reported rates of attrition can be used by others when designing similar studies. Full article

Sub-sag 21 in the eastern Yangjiang Sag, Pearl River Mouth Basin, South China, contains a thick lacustrine source-rock interval within the lower Wenchang Formation and is a major exploration target on the northern margin of the South China Sea. However, the timing of deposition during the early to middle Eocene remains poorly constrained, and the applicability of quantitative palaeoclimate reconstruction methods in low-latitude lacustrine basins requires further evaluation. In this study, we analyzed mudstones from the lower Wenchang Formation in Well E1. Using cyclostratigraphic constraints, we applied AstroGeoFit to construct an astronomically tuned age model, and combined palynological coexistence analysis with geochemical weathering proxies and linear–regression calibration to quantitatively reconstruct and cross-validate mean annual temperature and mean annual precipitation. Within this time-calibrated framework, we further quantified organic-carbon burial to evaluate the relationship between palaeoclimate evolution and organic-matter enrichment. The AstroGeoFit results indicate that the top of the lower Wenchang Formation in Well E1 is constrained to 44.563 Ma, and that the studied succession spans 50.249–44.563 Ma. Palynological coexistence analysis identifies three palaeoclimate phases within this interval. Method evaluation shows that the temperature reconstruction based on major-element geochemistry agrees well with the pollen-based temperature record, whereas one precipitation reconstruction based on weathering proxies shows the most robust agreement and stability relative to the pollen-based precipitation record. Reconstructed mean annual temperature ranges from 10.77 to 22.20 °C, and reconstructed mean annual precipitation ranges from 1188.27 to 1871.89 mm. Correlation analyses on the tuned timescale show that precipitation is more strongly associated than temperature with organic-matter accumulation parameters, including total organic carbon and organic carbon accumulation rate, indicating that organic carbon burial in the eastern Yangjiang Sag lake basin was mainly controlled by hydrological forcing. During the Early Eocene Climatic Optimum, carbon burial in low-latitude lakes was, therefore, not a simple response to elevated temperature, but instead reflected the integrated effects of precipitation, runoff, stratification, material supply, transport, and preservation. The evolutionary sequence further suggests that early high productivity was diluted by rapid sedimentation, reducing total organic carbon; subsequent cooling, lake deepening, and strengthened stratification enhanced organic matter preservation; and finally, tectonic subsidence together with regional humidification promoted the development and long-term preservation of high-quality lacustrine source rocks. Full article

Financial literacy is critical for individual well-being and sustainable economic development, yet significant gaps remain among Portuguese young adults. Using a two-phase design, this study combines a diagnostic assessment and multi-criteria decision analysis to identify and prioritise effective financial education strategies. In Phase 1, a diagnostic questionnaire administered to 172 first-year university students revealed pronounced deficiencies in core financial concepts. Only 29.1% correctly answered a question on compound interest, and almost half were unable to understand the concept of inflation. Additionally, 62.8% reported low exposure to financial education during compulsory schooling, and 59.9% strongly agreed that it should be included in the mandatory curriculum, indicating both unmet need and strong receptiveness. Phase 2 employed the Analytic Hierarchy Process (AHP) to evaluate five educational alternatives across four criteria. Engagement and motivation (0.32) and knowledge acquisition (0.31) were prioritised over behavioural impact (0.22) and accessibility (0.15). Based on expert assessments weighted by student preferences, in-person courses emerged as the most effective strategy (0.42), substantially outperforming online courses (0.22), videos and digital content (0.14), books (0.13), and games (0.10). The findings point to the need for policy-driven integration of structured, educator-led financial education within formal curricula, supported by approaches that prioritise active engagement and knowledge acquisition over convenience, with digital tools serving as complements rather than replacements. Full article

Background/Objectives: Communication decline is a hallmark of dementia, yet speech-language outcomes remain marginal in much of the virtual reality (VR) dementia literature. This evidence review synthesises empirical work on how VR has been used to support, train, or assess communication in dementia, positioning VR as a communication platform rather than only a cognitive tool. Methods: A structured search (2000–2025) across CINAHL, PubMed, PsycINFO, Scopus, and Web of Science was supplemented by reference list checking. Eleven empirical studies met eligibility criteria, spanning immersive and non-immersive VR used with people living with dementia, and VR-based communication training for caregivers, care staff, and clinicians. Findings were synthesised thematically through an explicit communication lens. Results: Evidence most consistently supports VR as a scaffold for communicative engagement and participation. Immersive and shared VR experiences commonly elicited increased verbal involvement, shared attention, and interactional responsiveness during or immediately after sessions, particularly when content was socially meaningful and appropriately paced. A second strand of work uses VR simulation to train communication partners, with participants reporting high acceptability and perceived improvements in confidence and strategy use, although behavioural transfer to real-world care is rarely measured. Assessment-oriented studies and stakeholder perspectives highlight VR’s potential to elicit functional behaviour in context and to complement clinic-based assessment, but communication validity is typically inferred rather than operationalised using standardised measures. Conclusions: VR shows early promise for dementia communication care, especially as an adjunct that structures interaction, supports participation, and scales communication training. Progress now depends on communication-specific intervention design, agreed outcome metrics capturing discourse and functional participation, and implementation studies addressing accessibility, cultural-linguistic diversity, and transfer to everyday care. Full article

Background and Objectives: Artificial intelligence (AI) has transitioned to an integral part of dermatology in only few years, yet perceptions of its use vary widely, reflecting diverse hopes, concerns, and perceived clinical utility. Materials and Methods: In this study, 300 dermatologists from 13 countries, representing a range of experience levels and AI usage statuses, were surveyed regarding the characteristics and applications of AI in dermatology. Results: Among respondents, 61.33% reported having used AI tools in clinical practice. Adoption of AI was observed across all age groups, countries, and experience levels. Analysis of the types of AI tools used revealed a strong reliance on general-purpose large language models (LLMs), with chatbots being the most frequently cited category, utilized by 58.15% of users. Younger clinicians demonstrated a significant preference for chatbots (p < 0.05). Country-specific patterns in AI adoption were also noted. The most highly rated expected benefit of AI in dermatology was improved diagnostic accuracy, while the primary concern centered on regulatory and ethical limitations, suggesting that the “AI revolution” in dermatology is currently constrained less by technical barriers and more by regulation considerations. Use of consent forms when AI use takes place was more frequently reported as mandatory by dermatologists who had never used AI, reflecting heightened caution among non-users (p = 0.03). Additionally, 75% of respondents agreed that formal training in AI is necessary, highlighting a significant gap in traditional medical education regarding emerging technologies. Full article

Accurate prediction of transient melt pool thermal fields in Laser Powder Bed Fusion (LPBF) is essential for understanding melt pool geometry and defect formation mechanisms, yet conventional finite element methods (FEM) impose prohibitive computational costs for parametric process exploration. A variational physics-informed neural network (VPINN) framework is presented for 3D transient thermal modeling of a GH3536 single-track LPBF scan. The framework incorporates a continuously differentiable Goldak double-ellipsoid moving heat source, temperature-dependent thermophysical property surrogates, and an effective heat-capacity treatment of latent heat associated with solid–liquid phase change and vaporization. These components are embedded in a weak-form residual-minimization scheme with octree-adaptive domain decomposition, hierarchical Legendre test functions, and sequential sliding-window time marching. Effective absorptivity is inferred jointly with the network parameters, using sparse experimental melt pool profiles as supervision. Within a parametric study covering laser powers from 100 to 140 W and scan speeds from 1000 to 1500 mm/s, the predicted melt pool width, depth, and aspect ratio agree closely with FEM benchmarks and cross-sectional optical micrograph measurements across both supervised and held-out interpolation conditions, with total relative L₂ nodal temperature errors ranging from 3.23% to 6.75%. Following a one-time offline training investment of 15,323 s that simultaneously resolves the full parametric space, surrogate inference reduces per-condition query time from 3000–4000 s (FEM) to merely 4–5 s, delivering a speedup of two to three orders of magnitude and making the framework increasingly cost-effective for high-throughput parametric studies and digital-twin integration as the number of queried conditions grows. Full article

This work presents the design and characterization of a thermoregulated, bandwidth-enhanced TEM cell system optimized for bioelectromagnetic experiments on biological cells, with a focus on bioluminescence resonance energy transfer investigations at 700 MHz and 3.5 GHz. Bandwidth improvement, achieved through geometric modifications and optimized connector transitions, resulted in reduced return and insertion losses and improved field uniformity, particularly in the 2.5–6 GHz range. Numerical simulations showed homogeneous electric field and normalized specific absorption rate (SAR) distributions (~1 W/kg) at 700 MHz. At 3.5 GHz, the improved TEM cell provided the most uniform exposure of the biological sample with SAR values of 15 W/kg and 10.5 W/kg, for the bulk and surface (bottom layer), respectively. Experimental SAR measurements using a ~1 mm³ fluoro-optic probe agreed well with simulations. To counteract RF-induced heating, the system incorporated active thermoregulation at 37 °C. At 3.5 GHz and 20 W input power, a 1.5 °C rise over 120 s was effectively mitigated using water-circulation cooling. This work provides a controlled and reliable setup for future studies on the interaction of 5G-band electromagnetic fields with biological systems. Full article

The question of which Scottish surnames constitute a Clan and which do not is hotly contested. It is wrongly felt, especially in the Scots-abroad communities, that Clan is somehow of higher status than “Family” or “House” and/or applies to everyone of Scottish heritage. Opinions and assertions are on a spectrum between two absolutes: (a) “everyone in Scotland is in a Clan, and everyone should wear kilts and tartans”; to (b) “Clans disappeared in the 18th century and there is no point clinging to a Romantic notion with no modern relevance”. Historically, the Clan is a phenomenon of the Gaelic-speaking Highlands and Islands and was not found as a social structure in the Lowlands; the Southern Uplands (Scottish Borders) are a special case. The “everyone” persuasion leads to cultural nonsenses such as Lowland-ancestry Scots abroad forming “Clan” Societies and adopting Highland dress. Scots overseas are looking for an authoritative statement as to whether their surname constitutes a Clan, a family, or some other nomenclature. Yet, there is no official or agreed historically based list of who are Clans and who are not. There is no such list—or a formula by which an answer can be derived. This essay is intended as a step towards that. Also, the non-historical concept of “Septs” is dismissed. Full article

Shell structures with built-in plates are widely used in engineering. This paper presents a unified analytical method for the dynamic stiffness model of coupled plate–shell structures, considering the effect of internal plates on the vibration characteristics of the assembled system. The coupled structure is decomposed along the plate–shell interface. Using Gorman’s superposition method and structural symmetry, the boundary displacement solution of the full structure is simplified to a quarter-structure problem. The dynamic stiffness matrices of substructures are derived and assembled to establish the analytical model. Numerical examples are conducted to investigate the dynamic behaviors of the coupled system, and the convergence and accuracy of the proposed method are verified against numerical simulations. Furthermore, a test rig is established for a rectangular plate–cylindrical shell structure, and modal experiments are carried out. The measured natural frequencies and mode shapes agree well with theoretical predictions. The proposed method provides a general theoretical approach for the vibration analysis of plate–cylindrical shell coupled structures. Full article

Background/Objectives: The coparenting relationship newly formed during the transition to parenthood is a relational system focused on parenting. This study was positioned as an exploratory survey, because it evaluated a preventive intervention program developed for couples expecting their first child with the goal of promoting coparenting, focusing solely on the prenatal period. This self-guided program was primarily composed of brief video for viewing and homework that were provided to couples through the pregnant women. The primary objective of this study was to evaluate the feasibility and acceptability of the intervention, and the secondary objective was to explore its preliminary effects; all assessments were based on data collected from pregnant women. Methods: This was a pilot study employing a mixed-methods approach with intervention and comparison groups. The evaluation utilized self-reported data collected at 22–27 weeks’ and 36 weeks’ gestation, along with data gathered through responses to questions in Microsoft Forms and semi-structured interviews, particularly in the intervention group. Ultimately, 20 couples in each group were included in the analysis. Results: Approximately 80% of couples in both groups agreed to participate, enhancing the feasibility of the intervention that included approaches to couples through pregnant women. The intervention completion rate was high (87%), and many women found the program acceptable. Analysis of covariance for between-group comparisons revealed no significant differences in relationship satisfaction (p = 0.267) or prenatal coparenting (p = 0.239). Conclusions: This program was recognized as feasible and acceptable, but its preliminary effects during pregnancy were not confirmed. Randomizing participants and including outcome assessments after childbirth in future studies could contribute to enhancing the potential for beneficial interventions. Full article