Search Results (8,608)

Dark tourism communication in Eastern Europe remains insufficiently examined, despite the region’s complex post-authoritarian memory landscape and the growing use of storytelling in tourism marketing. This study aims to clarify how Romanian dark tourism campaigns construct meaning through narrative structures and affective framing. Using a qualitative multi-method design, the analysis integrates ten promotional campaigns and six semi-structured interviews with professionals from tourism, memorial institutions, and cultural organizations. Results reveal four recurrent narrative–affective clusters, sacral-memorial, historical-didactic, spectral-sensational, and hybrid commercial, each shaped by trauma referentiality, emotional framing, and specific calls-to-action. These configurations map consistently onto Stone’s thanatological spectrum and highlight how practitioners negotiate authenticity and ethical boundaries. The study contributes a transferable narrative–affective model for dark tourism communication and underscores the need for transparency, contextual sensitivity, and responsible storytelling in the marketing of trauma-related heritage. Full article

Recognizing human actions in low-light industrial environments remains a significant challenge for safety-critical applications in power systems. In this paper, we propose a Low-Light Pose-Action Collaborative Network (LPAC-Net), an integrated framework specifically designed for monitoring scenarios in underground electrical vaults and smart power stations. The pipeline begins with a modified Zero-DCE++ module for reference-free illumination correction, followed by pose extraction using YOLO-Pose and a novel rotation-invariant encoding of keypoints optimized for confined industrial spaces. Temporal dependencies are captured through a bidirectional LSTM network with attention mechanisms to model complex operational behaviors. We evaluate LPAC-Net on the newly curated ARID-Fall dataset, enhanced with industrial monitoring scenarios representative of electrical infrastructure environments. Experimental results demonstrate that our method outperforms state-of-the-art models, including DarkLight-R101, DTCM, FRAGNet, and URetinex-Net++, achieving 95.53% accuracy in recognizing worker activities and safety-critical events. Additional studies confirm LPAC-Net’s robustness under keypoint noise and motion blur, highlighting its practical value for intelligent monitoring in challenging industrial lighting conditions typical of underground electrical facilities and automated power stations. Full article

This review explores strategies to enhance meat quality in poultry, focusing on both management and genetic methods. Poultry meat quality is influenced by many factors, including rearing conditions, nutrition, animal welfare, and post-slaughter processing. Key management factors such as stocking density, ventilation, temperature, and humidity are emphasized for their significant impact on bird welfare and the resulting meat texture, color, and microbial stability. Welfare-enhancing practices like gentle handling, environmental enrichment, and thermal comfort are highlighted for their direct effects on stress levels and meat properties such as water-holding capacity and pH. Innovations in slaughtering and chilling techniques, including electrical and gas stunning and rapid chilling, are shown to preserve meat quality and prevent common defects like pale, soft, and exudative (PSE) or dark, firm, and dry (DFD) meat. The review also underscores the importance of hygiene protocols, hazard analysis and critical control points (HACCP) systems, and traceability technologies to ensure food safety and foster consumer trust. On the genetic front, it discusses conventional selection, marker-assisted selection (MAS), and genomic selection (GS) as tools for breeding birds with better meat quality traits, including tenderness, intramuscular fat, and resistance to conditions like woody breast. Functional genomics and gene editing are identified as the leading edge of future advances. Ultimately, the review advocates for an integrated approach that balances productivity, quality, animal welfare, and sustainability. As consumer expectations increase, the poultry industry must adopt precise, science-based strategies across the entire production process to reliably deliver high-quality meat products. Full article

The bioaccessibility of flavonoids (namely, their release from the food matrix and their stability under gastrointestinal conditions) is pivotal in establishing their bioavailability and biological effects. Bioaccessibility is affected by several factors, including the food matrix. Previous studies suggested that flavonols and flavan-3-ols were higher in solid foods rather than in beverages. Therefore, this study investigated the bioaccessibility of red-skinned onion flavonols and dark chocolate flavan-3-ols during in vitro gastrointestinal digestion of whole foods and the corresponding phenolic compounds extracts, with the aim of ascertaining a possible food matrix effect. Results showed that the presence of the food matrix protected flavonols and flavan-3-ols from degradation during digestion. The bioaccessibility of total flavonols and flavan-3-ols determined by mass spectrometry was 79.0% and 80.8% for red-skinned onion and dark chocolate, respectively, whereas it was 57.5% and 47.3% for the corresponding extracts. Degradation of flavonols occurred mainly during intestinal digestion by deglycosylation and oxidative reactions, whereas for flavan-3-ols, it occurred during gastric digestion mainly by hydrolysis. Therefore, this study highlighted the importance of the food matrix in protecting flavonols and flavan-3-ols from degradation during digestion, underscoring the significance of consuming phenolic compounds in whole foods rather than supplements or extracts. Full article

This study presents the first successful laboratory rearing of Eremobelba eharai, with the establishment of a sustainable multigenerational breeding system. We document for the first time its complete morphological ontogeny across all developmental stages (from larva to adult) and characterize its life cycle. We supplement the original adult description with detailed morphological characterization and illustrations of the gnathosomatic structures, including the subcapitulum, palps, and chelicerae. Scanning electron microscopy showed that its surface is covered with a granular cerotegument. Under isolated rearing conditions, this species can complete the entire egg-to-egg developmental cycle. In addition, preliminary behavioral observations during rearing revealed preferences for dark environments, characteristic leg-shaking movements, and gregarious oviposition on active dry yeast particles, with no evidence of cannibalism. Full article

The Latvian Dark-head (Latvijas tumšgalve; LT) is the only sheep breed developed in Latvia. It is fully adapted to the country’s climatic conditions. As the sole national breed, it holds notable cultural importance by supporting traditional husbandry practices, landscape preservation, and regional identity. However, the dominance of commercial breeds threatens local genetic resources. Small-scale farms, where the LT population is concentrated, are especially vulnerable to population decline and possible extinction. This study assesses the genetic diversity within the LT breed and compares it with that of other major sheep breeds in Latvia. For the first time, lambs from sire rams of major breeds in Latvia underwent genotyping using the Illumina Ovine SNP50 BeadChip^® (San Diego, CA, USA). Genetic diversity was assessed with minor allele frequency (MAF) analysis. Breed-specific markers were identified by detecting fixed SNPs (MAF = 0) unique to each breed. In total, 27,561 highly polymorphic SNPs (MAF 0.3–0.5) were identified in the LT breed. This indicates substantial genetic differentiation from other sheep breeds raised in Latvia. Among the analyzed SNPs, 2668 (5.45%) were fixed in the LT breed. Of these, 55–131 were unique compared with other breeds. The OvineSNP50 panel is an effective tool for characterizing the genetic structure of the LT breed. It enables the detection of distinct genetic traits and interbreed differences. These results establish a genomic basis for targeted conservation and selective breeding strategies. Such strategies maintain the genetic integrity and competitiveness of the Latvian Dark-head. Full article

Potassium (K) is a vital macronutrient for plant growth and yield, yet most soil K occurs in insoluble mineral forms, limiting availability to crops. Reliance on chemical K fertilizers is unsustainable due to cost and environmental concerns. Microbial solubilization of mineral K, particularly by purple nonsulfur bacteria (PNSB), offers an eco-friendly alternative. This study focused on isolating mica-potassium-solubilizing purple nonsulfur bacteria (MK-PNSB) from in-dyke alluvial soil and assessing their effects on hybrid maize germination and seedling growth. Among the isolates, the results showed that strain M-Wa-19 released the highest amount of soluble K under microaerobic light conditions (27.4 mg∙L⁻¹). Under aerobic dark conditions, M-Wa-24 and M-Wa-26 released 20.1–21.0 mg∙L⁻¹ of soluble K. Strains M-Wa-21, M-Wa-25, and M-Sl-13 solubilized K in the range of 14.3–25.1 mg∙L⁻¹ and 12.9–24.4 mg∙L⁻¹ under both incubation conditions. The selected strains were identified by 16S rRNA as Rhodopseudomonas palustris strain M-Sl-13 (PX588604), Rhodoplanes pokkaliisoli strain M-Wa-19 (PX588605), Afifella marina strain M-Wa-21 (PX588606), Rhodocista pekingensis strain M-Wa-24 (PX588607), Rhodocista pekingensis strain M-Wa-25 (PX588608), and Rhodocista pekingensis strain M-Wa-26 (PX588609). None exhibited toxicity to maize seeds; instead, all enhanced seed vigor indices by up to 99.7% and improved plant height and root biomass by 19.0–26.2% and 14.4–22.9%, respectively, under static hydroponic conditions. At a 1:1000 (bacteria and distilled water) dilution rate, strains M-Wa-26, M-Wa-25, M-Sl-13, M-Wa-24, M-Wa-19, and M-Wa-21, along with the six-strain mixture, improved seed vigor index by 3.96–7.91%. These findings suggest that MK-PNSB, individually or in mixtures, hold promise as biofertilizer candidates for sustainable K management in crop production. Full article

In inland waters, Atmospheric Correction (AC), including Adjacency Effect (AE) correction, is a major challenge for water quality retrieval using optical satellite data. This study evaluated three image pre-processing options for turbidity retrieval in the St. Lawrence River using Sentinel-2 (S2) and Landsat 8/9 (L8/9) imagery with the Light Gradient Boosting Machine (LightGBM) model: (1) No pre-processing, i.e., use of Top-of-Atmosphere (TOA) reflectance, (2) AC pre-processing, obtaining water-leaving reflectance (R_w) from AC for the Operational Land Imager lite (ACOLITE)’s Dark Spectrum Fitting (DSF) technique, and (3) AE pre-processing, correcting for the AE using T-Mart before obtaining R_w from DSF. Results demonstrated that AE pre-processing outperformed the other two options. For L8/9, AE pre-processing reduced the Root Mean Square Error (RMSE) and improved the median symmetric accuracy (ε) by 48.8% and 19.0%, respectively, compared with AC pre-processing, and by 48.5% and 50.7%, respectively, compared with No pre-processing. For S2, AE pre-processing performed better than AC pre-processing and also outperformed No pre-processing, reducing RMSE by 28.4% and ε by 50.8%. However, No pre-processing yielded the lowest absolute symmetric signed percentage bias (|β|) among all pre-processing options. Analysis indicated that AE pre-processing yielded superior performance within 0–300 m from shore than other options, where the AE influence is strongest. Turbidity maps generated using AE pre-processing were smoother and less noisy compared to the other pre-processing options, particularly in cloud-adjacent regions. Overall, our findings suggest that incorporating AE correction through T-Mart improves the performance of the LightGBM model for turbidity retrieval from both L8/9 and S2 imagery in the St. Lawrence River, compared to the alternative pre-processing options. Full article

The mystical poetry of St. John of the Cross (born in 1542 in Spain and died in 1591), a collaborator of St. Teresa of Jesus in the reform of the Carmelite Order, reveals how the experience of God is indissolubly linked with compassion, and the practice of charity and hope. His life consistently reflects the virtues and attitudes celebrated in his poetry. This paper reinterprets three of his poems—Ascent of Mount Carmel, Of Falconry, and Spiritual Canticle—with a focus on the virtue and attitude of hope. It explores how hope is promoted and expressed through the lens of an ethics shaped by uncertainty and ambiguity, establishing a creative dialogue between classical and disruptive contemporary visions of Sanjuanist ethics. The text proposes an intersection of theology and ethics within a context of vulnerability, complexity, change, volatility, uncertainty, and ambiguity. It also addresses cases of spiritual abuse that distort the mystical and monastic meanings of the “dark night” metaphor. The experience of John of the Cross during his imprisonment is examined in relation to criteria for spiritual growth, with the aim of preventing spiritual misguidance. The paper aims to open the conversation in relation to the problem of abuse and its relation of how the cross may be understood and―in consequence―to help prevent the spiritual abuse that can take place through spiritual guidance. Full article

Background: The aqueous and methanolic extracts (AE and ME) of Bergenia ciliata leaves have contradictory silver nanoparticles (AgNP) synthesis potential, influenced by photoirradiation. Method: In the current study, photoirradiation-mediated AgNP synthesis potential of two sub-extracts of ME, namely aqueous precipitated ME (PME) and aqueous dissolved ME (DME), were studied through comparison of their physicochemical properties. Results: In dark, DME demonstrated significant AgNP synthesis, whereas PME did not synthesize AgNPs. However, photoirradiation reversed the role of both the sub-extracts in nanoparticles synthesis. PME also demonstrated an inhibitory effect on AE-mediated AgNP synthesis in dark. GC-MS identified pyrogallol as the major reducing agent in both the sub-extracts. Photoirradiation significantly influenced the nanoparticle size and percent elemental composition of the AgNP. In dark, PME and DME produced AgNP of approx. 23.94 nm and 31.08 nm diameters, respectively, which significantly increased to 47.26 nm and 47.48 nm, respectively, on photoirradiation. Although no significant change in the percent silver composition was observed in PME-AgNP on photoirradiation (approx. 68%), DME demonstrated enhanced silver percent from approx. 58% to 72% on photoirradiation. Both DME- and PME-AgNPs were stable up to 15 days at 4 °C. Conclusions: PME has photoirradiation-mediated dual property of inhibition and enhancement of AgNPs synthesis. Full article

The cosmological constant (CC, $\Lambda$) problem stands as one of the most profound puzzles in the theory of gravity, representing a remarkable discrepancy of about 120 orders of magnitude between the observed value of dark energy and its natural expectation from quantum field theory. This paper synthesizes two innovative paradigms—holographic naturalness (HN) and pre-geometric gravity (PGG)—to propose a unified and natural resolution to the problem. The HN framework posits that the stability of the CC is not a matter of radiative corrections but rather of quantum information and entropy. The large entropy $S_{\mathrm{dS}}\sim M_{\mathrm{P}}^2/\Lambda$ of the de Sitter (dS) vacuum (with $M_{\mathrm{P}}$ being the Planck mass) acts as an entropic barrier, exponentially suppressing any quantum transitions that would otherwise destabilize the vacuum. This explains why the universe remains in a state with high entropy and relatively low CC. We then embed this principle within a pre-geometric theory of gravity, where the spacetime geometry and the Einstein–Hilbert action are not fundamental, but emerge dynamically from the spontaneous symmetry breaking of a larger gauge group, SO($1,4$)→SO($1,3$), driven by a Higgs-like field ${\varphi }^A$. In this mechanism, both $M_{\mathrm{P}}$ and $\Lambda$ are generated from more fundamental parameters. Crucially, we establish a direct correspondence between the vacuum expectation value (VEV) v of the pre-geometric Higgs field and the de Sitter entropy: $S_{\mathrm{dS}}\sim v$ (or $v^3$). Thus, the field responsible for generating spacetime itself also encodes its information content. The smallness of $\Lambda$ is therefore a direct consequence of the largeness of the entropy $S_{\mathrm{dS}}$, which is itself a manifestation of a large Higgs VEV v. The CC is stable for the same reason a large-entropy state is stable: the decay of such state is exponentially suppressed. Our study shows that new semi-classical quantum gravity effects dynamically generate particles we call “hairons”, whose mass is tied to the CC. These particles interact with Standard Model matter and can form a cold condensate. The instability of the dS space, driven by the time evolution of a quantum condensate, points at a dynamical origin for dark energy. This paper provides a comprehensive framework where the emergence of geometry, the hierarchy of scales and the quantum-information structure of spacetime are inextricably linked, thereby providing a novel and compelling path toward solving the CC problem. Full article

We investigate the thin accretion disk around Bardeen black hole (BH) surrounded by perfect fluid dark matter (PFDM), focusing on how the magnetic charge g and dark matter (DM) parameter b affect its radiative properties. The results show that increasing g slightly enhances the energy flux, radiation temperature, luminosity, and efficiency, while shifting the innermost stable circular orbit ($r_{\mathrm{isco}}$) inward. Additionally, the influence of b is found to be dominant, making it a key parameter in distinguishing PFDM-surrounded Bardeen BH from their Schwarzschild counterparts. Full article

Fu brick tea (FBT) develops its characteristic qualities through fermentation, yet how variation in the chemical composition of raw dark tea (RDT) is associated with microbial succession and final tea quality remains unclear. In this study, three grades of RDT (premium-grade (1M), first-grade (2M), and second-grade (3M)) were processed into FBT under identical conditions to examine the relationship between initial composition, microbial community structure, and sensory attributes. Results revealed that high-grade RDTs (1M) contained higher levels of water extracts (WE, 36.35 ± 0.14 (%), p < 0.05), total polyphenols (TP, 14.93 ± 0.19 (%), p < 0.05), and free amino acids (FAA, 2.90 ± 0.03 (%), p < 0.05), promoting Aspergillus (96.06% in C1M, compared with 66.43% in C2M and 55.01% in C3M) dominance and resulting in brighter liquor with enhanced body and smoothness. Correlation analyses demonstrated a coherent sequence from substrate composition to microbial assembly and then to quality-related chemistry. WE, TP, and FAA were positively correlated with Aspergillus abundance and body and smoothness (p < 0.05), whereas soluble sugars correlated with Rhodotorula and sweetness (p < 0.05). These findings support a substrate-mediated association framework in which the chemical composition of RDT is closely aligned with microbial community structure and sensory differentiation during FBT fermentation, providing a scientific basis for raw material grading and fermentation management in dark tea production. Full article

Chlorophyll and carotenoid biosynthesis are essential metabolic processes in horticultural plants, critically influencing the coloration and economic value of fruits and petals. However, the regulatory mechanisms that coordinate the accumulation of both chlorophyll and carotenoids are still poorly understood. In this study, we demonstrated that the transcription factor TeSEP4 modulated petal color in marigolds by simultaneously modulating chlorophyll and carotenoid metabolic pathways. Overexpression of TeSEP4 produced dark-yellow petals, which were associated with enhanced carotenoid biosynthesis and suppression of chlorophyll biosynthesis. In contrast, silencing TeSEP4 triggered a shift toward yellow-green petals by reducing carotenoid accumulation while concurrently increasing chlorophyll content. Transcriptome and qRT-PCR analyses further revealed that TeSEP4 overexpression upregulated key carotenogenic genes such as TePSY1 and TePSY3, while downregulating chlorophyll-related genes, including TeCHLH, TeCHL27-1, and TePORA1. Silencing TeSEP4 expression caused the opposite changes in these genes. These findings reveal a transcriptional factor that coordinates chlorophyll and carotenoid biosynthesis, offering a strategy to simultaneously improve carotenoid content and modify petal color in marigolds. Full article

CuO/TiO₂ is a highly active visible-light-driven photocatalyst. The precise structural regulation of TiO₂ and the quantum dot-scale loading strategy of CuO have long been researching hotspots and challenges. This work presents an ingenious synthetic strategy, leveraging the photoinduced superhydrophilicity and dark-induced reversible hydrophobicity of TiO₂, coupled with carbon quantum dots (CQDs) as “seeds” to induce the in situ synthesis of CuO quantum dots (CuO QDs). Specifically, CuO QDs with an average diameter of 5–10 nm were successfully anchored onto TiO₂ nanowire arrays (TNWAs) with a diameter of 10–15 nm. By adjusting the dosage of “seeds” (CQDs), the loading amount of CuO QDs can be effectively controlled. Corresponding characterizations were performed, including ultraviolet-visible-near-infrared (UV-Vis-NIR spectroscopy) for optical absorption properties, photoluminescence (PL) spectroscopy for photoluminescent behavior, electron paramagnetic resonance (EPR) spectroscopy for free radical generation capability, and bisphenol A (BPA) degradation assays for photocatalytic performance. Loading 4.78 wt% CuO QDs can effectively inhibit the recombination of electron–hole pairs in TNWAs. Simultaneously, it prolongs the lifetime of charge carriers (photoelectrons) and enhances the yields of hydroxyl radicals (•OH) and superoxide radicals (•O₂⁻). The BPA degradation efficiency of the CuO QDs/TNWA composite is 2.4 times higher than that of TNWAs. Furthermore, we found that the loading of CuO QDs significantly modulates the depletion layer width of the P–N heterojunction, and the underlying mechanism has been discussed in detail. Full article