Search Results (240)

Background: Young men experience substantial mental health and mortality-related risks, yet they often do not engage in conventional health promotion programs. This highlights the need for gender-specifc interventions that are acceptable, engaging, and feasible for young men. Purpose of Research: Guided by self-determination theory, this single-group proof-of-concept study evaluated the feasibility and acceptability of a dual-component intervention combining an in-person nature-based intervention (NBI; two days of group activities and guided reflection in a forested park) and a subsequent virtually supported resistance training (RT) program for young men and explored secondary, exploratory pre- to post-changes in depressive and anxiety symptoms. Methods: Eight men aged 18–34 not meeting RT recommendations (i.e., <2 sessions/week) completed a two-day, in-person NBI followed by six weeks of virtually supported RT with weekly group check-ins. Primary feasibility outcomes were satisfaction and qualitative acceptability for NBI/RT, recruitment, retention, and adherence. Secondary, exploratory quantitative outcomes were pre- to post-changes in depressive and anxiety symptom scores. Brief semi-structured exit interviews were conducted at the study end and audio-recorded for analysis. Results: Satisfaction met a priori thresholds for both components (NBI = 3.4/4; RT = 4.3/5; criteria ≥ 3.0 and ≥ 3.5). Recruitment was 46% and retention 100%, exceeding the 42% and 80% criteria, respectively. Exit interview themes highlighted guided learning, accountability, and feeling more connected to nature as acceptability drivers, with the scheduling burden noted but manageable. Depressive and anxiety symptom scores were lower post-intervention. Conclusions: Challenges in recruitment, group dynamics, and participant selection require refinement before the next phase; however, high satisfaction with both the NBI and RT segments, together with improvements in anxiety and depression symptom scores, supports progressing to a feasibility trial once these enhancements are in place. Full article

Background: Visceral pain is the primary symptom of functional gastrointestinal disorders, yet its spinal molecular mechanisms remain poorly defined. Methods: Using a 2,4,6-trinitrobenzenesulfonic acid (TNBS)-induced chronic inflammatory visceral pain model, the role of the spinal CXCL10/CXCR3/ERK signaling axis and the analgesic effect of docosahexaenoic acid (DHA) were investigated. Results: TNBS significantly upregulated CXCL10 and CXCR3 in spinal dorsal horn neurons and increased ERK phosphorylation. Intrathecal CXCL10-neutralizing antibody or CXCR3 antagonist NBI-74330 reduced visceral hypersensitivity and suppressed spinal ERK activation in TNBS mice. Exogenous CXCL10 induced CXCR3-dependent hyperalgesia and ERK phosphorylation in the spinal cord. Intrathecal DHA attenuated TNBS-induced visceral pain, downregulated spinal CXCL10/CXCR3 expression, and inhibited ERK signaling. In Neuro-2a cells, DHA also blocked LPS-induced activation of the same pathway. Conclusions: This study suggests that the analgesic effect of DHA may involve the inhibition of the spinal CXCL10/CXCR3/ERK signaling pathway. Full article

(1) Background: The “Bider marking” on the shoulder of the Dun Mongolian horse represents a unique pigmentation pattern, the molecular formation mechanism of which remains incompletely understood. This study investigates the differential expression and protein localization of pigment-related genes—specifically the core transcription factor MITF, as well as EDN3, SLC7A11, and WNT3A—in the skin. The analysis focuses on three distinct regions: the dark-colored area of the ‘Bider marking’ shoulder (BIDC), the light-colored area of the ‘Bider marking’ shoulder (BILC), and the non-Bider-marked shoulder area (NBIS). The aim is to clarify their correlation with the formation of this distinctive pigmentation pattern. (2) Methods: Skin tissue samples from both the “Bider marking” and non-Bider-marked shoulder regions were collected (n ≥ 3). The mRNA expression levels were quantified using RT-qPCR, protein levels were analyzed through Western blotting, and protein localization was assessed via immunohistochemistry and immunofluorescence. (3) Results: Compared to the NBIS group, both the BIDC and BILC groups exhibited significantly elevated protein expression of MITF and WNT3A. Further immunofluorescence showed that the distribution of MITF protein exhibits regional specificity in the epidermis and hair follicles. In the BIDC region, the protein is localized specifically to the stratum corneum of the epidermis, the dermal papilla, and the outer root sheath of hair follicles. In contrast, the mRNA and protein expression levels of SLC7A11 and EDN3 did not display consistent patterns among the three groups, and no specific differences were observed in tissue localization. (4) Conclusions: The findings show that the specific pigmentation in dark “Bider marking” regions is closely linked to the upregulated protein levels and unique spatial patterns of MITF and WNT3A; SLC7A11 and EDN3 may not be primary regulators of this trait. Full article

Background/Objectives: The early detection of oral squamous cell carcinoma (OSCC), especially when in the presence of oral potentially malignant disorders (OPMDs), may be challenging and would assist in improving poor OSCC survival rates reported in the literature. We conducted a systematic review to evaluate the utility of adjunctive aids that could assist during clinical examination of the oral cavity to identify suspicious mucosal lesions. Methods: Three databases (CENTRAL, PubMed/MEDLINE, Embase) were screened, limiting results from 2015 to November 2025. Inclusion criteria were: articles written in English; investigating the diagnostic accuracy of diagnostic visual aids compared to conventional oral examination under white light in the assessment of oral mucosal lesions. Extracted data were analysed narratively. Studies not reporting diagnostic accuracy using biopsy results as the gold standard were excluded. Results: The search produced 137 articles; after removing duplicates, 105 were screened through inclusion/exclusion criteria, leading to 17 papers included in the review. Eight articles investigated diagnostic accuracy of narrow band imaging (NBI), seven visually enhanced lesion scopes (VELscopes), one Glasses for Oral Cancer Curing Light Exposed Screening (GOCCLES), one ViziLite chemiluminescence system, and two toluidine blue (TB). Conclusions: High study heterogeneity and lack of randomized clinical trials limit the conclusions of this review. In this context, among the investigated visual aids for expert use, NBI (sensitivity 85–100%, specificity 75–98%) emerges as the most promising tool (VELscope sensitivity 76–87.1%, specificity 21.4–90%; GOCCLES 66%, 48%; ViziLite 77.3%, 27.8%, TB 56.8–91%, 65.3–68%), due to its ability to highlight sub epithelial vascular abnormalities, considered as early indicators of dysplastic or neoplastic progression even. None of the investigated visual aids seem suited for screening purposes/use by the general dentist. Full article

Nutrients recovered from municipal and dairy wastewaters in a bioelectrochemical system constructed with terracotta and biochar were used in different soil amendments. These amendments included addition of terracotta (TS), biochar (BS), terracotta and biochar nutrient-rich mixtures from bioelectrochemical systems, DWW (dairy wastewater), and SWW (synthetic wastewater), respectively. Corn growth affected by these amendments was compared with control, termed straight soil (SS). The first experimental setup consisted of 60 plants, four replications per group, and nutrient loadings (0%, 50%, and 100% Hoagland Nutrient Solution, HNS) in the fall season. After harvesting, the plants and soil were analyzed for agro-physical characteristics by various methods. At the 100% nutrient treatment, the TS soil had the best yielding plants. Overall, plants grown in DWW and SWW soil amendments with 0% and 50% nutrient treatments had the best results in plant height, total plant dry weight, the average number of leaves per plant, leaf surface area, shoot dry weight, root/shoot ratio, root surface area, and NBI when compared to the control group. Another test was carried out with 80 corn plants grown using five different soil mediums and using four different nutrient treatments in the spring season. Twenty of the plants were put through a simulated drought to evaluate drought resistance (as measured by plant growth) in different soil amendments. In this test, the SWW soil amendment had a negative effect at 0% HNS and in warm weather. The SWW soil medium had large retention in soil moisture, which had a negative growth effect. It is recommended that the irrigation be monitored closely when applying the SWW soil amendment to avoid overwatering. This research provides critical insights into nutrient reuse in crop production. Full article

Laryngeal squamous cell carcinoma (SCC) remains a major clinical challenge due to substantial mortality and limited preoperative risk stratification. Narrow-Band Imaging (NBI) enables real-time visualization of mucosal microvasculature, yet the molecular correlates of high-risk NBI phenotypes in vocal fold lesions are incompletely defined. In a prospective cohort of 145 patients with vocal fold lesions, NBI microvascular patterns were graded using the Ni classification and dichotomized using a pre-specified high-risk threshold (Ni ≥ 4 vs. Ni ≤ 3). Histopathology was classified according to WHO 2017. Epithelial expression of IL-6, LIF, LIFR and CXCL9 was quantified by immunohistochemistry using the immunoreactive score (IRS). Associations were tested using non-parametric methods and logistic regression, and diagnostic performance was assessed by ROC analysis. SCC was diagnosed in 63/145 cases. The Ni category showed a strong stepwise association with WHO 2017 histopathological severity. Using Ni ≥ 4, diagnostic performance for SCC was balanced (sensitivity 82.5%, specificity 82.9%; accuracy 82.8%). LIF and LIFR expression decreased with increasing histopathological severity and higher-NBI-risk categories, whereas CXCL9 increased with more suspicious NBI patterns; epithelial IL-6 did not differ across lesion categories. In multivariable logistic regression, Ni ≥ 4 was the strongest independent predictor of SCC (adjusted OR 8.90), while higher LIF (adjusted OR 0.73) and LIFR (adjusted OR 0.78) were independently associated with lower odds of SCC (model AUC 0.943). Multivariable analysis confirmed NBI as the strongest independent predictor of carcinoma, while epithelial LIF and LIFR expression showed inverse associations with histological malignancy and high-risk NBI vascular patterns. LIF/LIFR and CXCL9 show distinct, biologically plausible associations with NBI risk phenotypes, suggesting that selected tissue markers may complement NBI for refined SCC risk stratification. Full article

In the diagnostics of plasmas heated by neutral beam injection (NBI), which serves as a fundamental heating technique, critical core parameters such as ion temperatures and rotational velocities can be measured through NBI’s associated diagnostic methods. However, conventional spectral analysis methods applied in NBI-based Beam Emission Spectroscopy diagnostics face a significant limitation: a relatively high false detection rate during characteristic peak detection and boundary determination. This issue stems from three primary factors: persistent noise interference, overlapping spectral peaks, and dynamic broadening effects. To address this critical issue, we propose a spectral feature extraction method based on morphological segmentation and optimized clustering, with three key innovations that work synergistically: (1) an adaptive chunking algorithm driven by gradient, Laplacian, and curvature features to dynamically partition spectral regions, laying a foundation for localized analysis; (2) a hierarchical residual iteration mechanism combining dynamic thresholding and Gaussian template subtraction to enhance weak peak signals; (3) optimized DBSCAN clustering integrated with morphological closure to refine peak boundaries accurately. Among them, the adaptive chunking technique is distinct from general adaptive methods: its chunking granularity can be dynamically adjusted according to peak structures and can accurately adapt to low signal-to-noise ratio (SNR) scenarios. Experimental results based on measured data from the EAST device demonstrate that the adaptive chunking strategy maintains a missed detection rate of 0–20% across the full signal-to-noise ratio (SNR) range, with false positive rates limited to 16.67–50.00%. Notably, it achieves effective peak detection even under extremely low SNR conditions. Full article

Cloud-based Earth observation platforms, such as data cubes, enable reproducible analyses of long-term satellite time series for climate and urban studies. In parallel, Essential Climate Variables (ECVs) provide a standardised framework for monitoring climate dynamics, with urban land cover and temperature being particularly relevant in historic urban contexts. This study analyses long-term trends and statistical associations between satellite-based ECVs and urbanisation indicators within the Historic Urban Landscape (HUL) of Sfax (Tunisia) from 1985 to 2021. Using the Digital Earth Africa (DEA) data cube, we derived six urban spectral indices (USIs), land surface temperature, air temperature at 2 m, wind characteristics, and precipitation from Landsat and ERA5 reanalysis data. An automated and reproducible Python-based workflow was implemented to assess USI behaviour, evaluate their performance against the Global Human Settlement Layer (GHSL), and explore spatio-temporal co-variations between urbanisation and climate variables. Results reveal a consistent increase in air and surface temperatures alongside a decreasing precipitation trend over the study period. The USIs demonstrate comparable accuracy levels (≈88–90%) in delineating urban areas, with indices based on SWIR and NIR bands (NDBI, BUI, NBI) showing the strongest statistical associations with temperature variables. Correlation and multivariate regression analyses indicate that temporal variations in USIs are more strongly associated with air temperature than with land surface temperature; however, these relationships reflect statistical co-variation rather than causality. By integrating satellite-based ECVs within a data cube framework, this study provides an operational methodology for long-term monitoring of urban-climate interactions in historic Mediterranean cities, supporting both climate adaptation strategies and the objectives of the UNESCO HUL approach. Full article

The Indonesian government has collected bridge inspection data since 2019. This data reveals the deterioration trend of existing bridges. These findings help to evaluate the current deterioration curve and can inform more efficient inspection and maintenance methods, which have not been updated since 1993. The first purpose is to evaluate the current deterioration of the Bridge Management System (BMS) model by comparing it with a trend developed from existing conditions. A secondary objective is to compare deterioration trends derived from Indonesian inspection data using the BMS with those from Florida using NBIS. The deterioration trend is found by correlating soundness and bridge age. This study shows that none of the inspection-based trends align with the typical BMS deterioration curve. The real deterioration trends are faster. Many factors influence the trendline, such as bridge type, construction material, and length. There is a clear disparity in the deterioration trends of the superstructure, deck, waterway/embankment, and substructure based on inspection data from Indonesian bridges. The superstructure deteriorates faster and more quickly than the deck, even though both are in the same section. The waterway/embankment deteriorates faster than the deck. The bridges deteriorate faster in the first 10 years. In contrast, consistent deterioration trends across all components are found in Florida bridges. In Florida, bridge components deteriorate at a rate of 0.0447 to 0.056 per year in condition score during the first 20 years. After this period, the deterioration rate declines, as indicated by a reduced slope in the trend line. Ultimately, this study directly compares trends in bridge deterioration between Indonesia and Florida using large-scale inspection data. The results evaluate Indonesia’s Bridge Management System empirically and reveal how different inspection and maintenance practices affect bridge deterioration. Full article

Perceived time poverty is a major stress factor in university life, reflecting a lack of attentional resources. While nature-based interventions (NBIs) are recognized for restoring psychological resources, the psychological processes behind these interventions are not fully understood. This three-wave longitudinal study (N = 36) used linear mixed-effects models to examine the impact of a three-day camping trip on students’ psychological outcomes before, immediately after, and one month later. Findings show that the trip immediately and significantly boosted state nature connectedness and prosocial behavior intentions, while reducing perceived time poverty and psychological distress. Unexpectedly, it also led to a temporary decrease in both hedonic and eudaimonic well-being. By one month, most benefits had returned to baseline levels. Significantly, perceived time poverty fully mediated the link between nature connectedness and most outcomes. These results suggest camping helps restore attention, but short-term NBIs can only exert a temporary effect. The study enhances scarcity and attention restoration theories by testing specific psychological pathways and targets, offering valuable insights for creating nature-based programs that reduce stress and improve experiences, especially for university wellness initiatives. Full article

The global energy transition faces a chasm between current policy commitments (IEA’s STEPS) and the deep, rapid transformation required to realize all national net zero pledges (IEA’s APC). This perspective addresses the critical innovation and policy gap blocking the APC pathway, where many high-impact, clean technologies remain at low-to-medium Technology Readiness Levels (TRLs 3–6) and lack formal policy support. The insufficient nature of current climate policy nomenclature is highlighted, which often limits Nature-based Solutions (NbS) to incremental projects rather than driving systemic technological change (Bio-inspiration). Then, we propose that a deliberate shift from simple biomimetics (mimicking form) to biomimicry (emulating life cycle sustainability) is the essential proxy for acceleration. Biomimicry inherently targets the grand challenges of resilience, resource efficiency, and multi-functionality that carbon-centric metrics fail to capture. To institutionalize this change, we advocate for the mandatory integration of bio-inspired design into National Determined Contributions (NDCs) by reframing NbS as Nature-based Innovation (NbI) and introducing novel quantitative metrics. Finally, a three-step roadmap to guide this systemic shift is presented, from deployment of prototypes (2025–2028), to scaling evidence and standardization (2029–2035), to consolidation and regenerative integration (2036–2050). Formalizing these principles through policy will de-risk investment, mandate greater R&D rigor, and ensure that the next generation of energy infrastructure is not just carbon-neutral, but truly regenerative, aligning technology deployment with the necessary speed and depth of the APC scenario. Full article

With the discovery of amorphous oxide semiconductors, a new era of electronics opened. Indium gallium zinc oxide (IGZO) overcame the problems of amorphous and poly-silicon by reaching mobilities of ~10 cm²/Vs and demonstrating thin-film transistors (TFTs) are easy to manufacture on transparent and flexible substrates. However, mobilities over 30 cm²/Vs have been difficult to reach and other materials have been introduced. Recently, polycrystalline In₂O₃ has demonstrated breakthroughs in the field. In₂O₃ TFTs have attracted attention because of their high mobility of over 100 cm²/Vs, which has been achieved multiple times, and because of their use in scaled devices with channel lengths down to 10 nm for high integration in back-end-of-the-line (BEOL) applications and others. The present review focuses first on the material properties with the understanding of the bandgap value, the importance of the position of the charge neutrality level (CNL), the doping effect of various atoms (Zr, Ge, Mo, Ti, Sn, or H) on the carrier concentration, the optical properties, the effective mass, and the mobility. We introduce the effects of the non-parabolicity of the conduction band and how to assess them. We also introduce ways to evaluate the CNL position (usually at ~E_C + 0.4 eV). Then, we describe TFTs’ general properties and parameters, like the field effect mobility, the subthreshold swing, the measurements necessary to assess the TFT stability through positive and negative bias temperature stress, and the negative bias illumination stress (NBIS), to finally introduce In₂O₃ TFTs. Then, we will introduce vacuum and non-vacuum processes like spin-coating and liquid metal printing. We will introduce the various dopants and their applications, from mobility and crystal size improvements with H to NBIS improvements with lanthanides. We will also discuss the importance of device engineering, introducing how to choose the passivation layer, the source and drain, the gate insulator, the substrate, but also the possibility of advanced engineering by introducing the use of dual gate and 2 DEG devices on the mobility improvement. Finally, we will introduce the recent breakthroughs where In₂O₃ TFTs are integrated in neuromorphic applications and 3D integration. Full article

Background/Objectives: Differentiating benign, premalignant, and early malignant vocal fold lesions is challenging. Perpendicular vascular changes (PVCs) per the European Laryngological Society (ELS) are key malignancy indicators. Enhanced contact endoscopy with narrow-band imaging (NBI-CE) visualizes intrapapillary capillary loops (IPCLs) at high magnification, independent of gross morphology. However, defining malignancy as any PVC increases sensitivity but lowers specificity—particularly in papillomas—whereas limiting malignancy to narrow-angle PVC improves specificity but risks false negatives and reduced reproducibility. Methods: We intraoperatively evaluated 146 histology-proven vocal fold lesions using NBI-CE. Six raters (three experienced otolaryngologists, three PhD students) classified vascular patterns. Two approaches were tested: (1) malignancy = narrow-angle PVC; (2) malignancy = any PVC. Outcomes were accuracy, sensitivity, specificity, and interrater agreement. Results: Approach (1) had higher specificity but lower sensitivity than (2) (~85% vs. ~70% specificity; ~50% vs. ~80% sensitivity). Accuracy did not differ significantly. Experienced raters showed higher interrater agreement and a more favorable sensitivity–specificity balance. Common errors were false positives in papillomas and false negatives in dysplasia/early carcinoma. Conclusions: PVC assessment with NBI-CE is feasible and informative. Choosing between “any PVC” and “narrow-angle only” entails a sensitivity–specificity trade-off and depends on lesion type and experience. Refined ELS descriptors and automated analysis may improve reproducibility and accuracy. Full article

This paper critiques the artificial intelligence (AI) framework as a self-referential system that relates parts to wholes without genuine creativity. Emotions—understood as forms of politics—emerge when top-down commands override local processes, a phenomenon absent in AI. Building on Bateson’s notion of the “play bite,” we propose Natural Born Intelligence (NBI): a system that simultaneously accepts and negates binary oppositions through positive and negative antinomies, thus opening itself to the “outside” beyond logical dualities. Found in brains, societies, and even chemical systems, NBI can be formalized through quantum logic and coherence across Hilbert spaces, offering a novel model of intelligence grounded in openness and emergence. Full article

A multi-factor analysis of cultivar, biofertiliser, and growing season was conducted to optimise lettuce agronomic and quality traits in diverse soil conditions. The goal was to identify soil differences and offer practical recommendations to improve lettuce traits and quality for farmers and the processing industry. The study employed a complete block design with four treatments, three involving biofertilisers, applied to six lettuce cultivars grown in two contrasting soil types- Mollic Gleysol (Calcaric)-GL and Hortic Anthrosol (Terric, Transportic)-AT, across three consecutive greenhouse seasons (autumn, winter, and spring). Biofertilisers were applied to the soil before transplanting and foliarly during the growing cycle, with four of the following treatments: control (no fertilisation), a fertiliser containing beneficial microorganisms, a Trichoderma-based fertiliser, and a combination of both. In GL soil, all biofertiliser treatments increased rosette height, leaf number, and stem length, whereas in AT soil, all morphological parameters declined significantly. The green cultivars ‘Aquino’ and ‘Kiribati’ showed superior morphological performance, particularly in spring and winter. Rosette fresh weight, a key indicator of plant biomass, reached 236.4 g in ‘Aquino’ grown in GL soil, and 208.6 g in ‘Kiribati’ grown in AT soil. Dualex™ leaf sensor measurement indicated that ‘Aquino’ exhibited the highest nitrogen balance index (NBI), while the red cultivar ‘Gaugin’ recorded the highest chlorophyll, flavonoid, and anthocyanin contents. Combined fertilisers increased NBI by 6.3% and chlorophyll by 6.8% in GL soil. Trichoderma fertiliser alone raised NBI by 6.8% in GL soil, whereas in AT soil, plants accumulated more flavonoids and anthocyanins (by 9.2% and 8.5%). Optical parameters were highest in autumn. The three-factor experiment demonstrated that cultivar, biofertiliser, and growing season significantly influenced the majority of measured traits. Correlation analysis revealed that rosette fresh weight was positively associated with NBI but negatively correlated with quality-related traits. Based on these findings, cultivars ‘Aquino’, ‘Kiribati’, and ‘Gaugin’ are recommended for both farmers and the processing industry to improve lettuce production quantity and quality. Overall, cultivar, biofertiliser, and season strongly influenced the measured parameters, underscoring the importance of tailoring biofertiliser application to soil type and season to achieve optimal production outcomes. Full article