Search Results (14,797)

In recent decades, bathroom design has undergone significant changes driven by technological advances, aesthetic trends, and social transformations. Despite their relevance to daily routines and quality of life, bathrooms remain underexplored with regard to how cladding materials influence users’ psychological experience. This study aims to analyze the effects of different bathroom cladding materials on perception, emotional response, and purchase intention. An online experiment was conducted using a single-factor experimental design with five types of cladding materials (ceramic, vinyl, wood, microcement, and natural stone). A total of 58 participants evaluated five virtual bathroom stimuli through self-report measures assessing perceived well-being, perceived stress, perceived functionality, perceived aesthetic preference, perceived cost, emotional valence, and purchase intention. Data were analyzed using nonparametric statistical tests. The results revealed significant differences across all perceptual dimensions depending on the cladding material. Wood and natural stone were associated with higher levels of perceived well-being and more pleasant emotional responses, whereas microcement was linked to higher perceived stress and lower aesthetic evaluations. In addition, affective variables—particularly aesthetic preference—emerged as the strongest predictors of purchase intention. These findings highlight the importance of bathroom materiality in shaping emotional experience and decision-making processes, and emphasize the role of cladding selection in promoting psychological well-being within domestic environments. Full article

Taraxacum kok-saghyz (TK), the rubber dandelion, is an emerging crop offering potential for sustainable natural rubber production independent of tropical climates. Successful domestication of TK requires a mechanistic understanding of its reproductive biology, yet floral anatomy, sporogenesis, and gametogenesis remain poorly characterized. We hypothesized that TK’s reproductive development follows the general patterns of sexually reproducing diploid Taraxacum species and other Asteraceae, distinguishable from the irregular meiosis reported in apomictic taxa. Here, using light and scanning electron microscopy across multiple developmental stages, we describe the floral and inflorescence anatomy, as well as sporogenesis and gametogenesis in TK. Anther development in TK predominantly follows the simultaneous microsporogenesis pattern, typical of eudicots, producing regular tetrahedral tetrads. Notably, we also observed occasional successive-type events resulting in dyads and tetragonal tetrads, indicating a previously unreported developmental variation within the species, culminating in mature tricellular pollen. We detail key reproductive structures, including anther wall layers, ovary mesophyll differentiation, and the presence of a micropylar obturator. The meiotic behavior and gametophyte development observed in TK are consistent with those of diploid, sexually reproducing Taraxacum species and other members of the Asteraceae, in contrast to the irregular meiosis reported in Taraxacum apomictic taxa. These newly described morphoanatomical details on reproductive aspects will inform breeding strategies and advance our understanding of pollination, fertilization, and seed development in TK. Full article

Canine parvovirus (CPV) is a major pathogen causing severe gastroenteritis in dogs. Since its emergence, CPV has undergone continuous evolution, leading to the predominance of variants such as CPV-2a, CPV-2b, and CPV-2c. To characterize the genetic features and evolutionary trends of CPV-2 at a regional level, 775 fecal samples were collected from domestic and stray dogs with suspected CPV-2 infection in Shanghai between 2016 and 2025. The overall positivity rate was 23.2% (180/775); incidence was substantially higher in stray dogs (30.2%) than in domestic dogs (15.9%). Thirty-one CPV-2 strains were successfully isolated. Temporal analysis revealed a pronounced genotype shift: isolates from 2016 to 2020 were predominantly New CPV-2a, whereas CPV-2c became the dominant genotype from 2021 through 2025. Sequence analysis identified the polymorphism of VP2 gene and characteristic mutations F267Y, Y324I, N426E, Q370R and A440T in CPV-2c strains. A novel I447M mutation was detected in several isolates. Phylogenetic analysis showed that Shanghai isolates formed distinct clusters; CPV-2c strains were closely related to the Asian lineage. Structural modeling indicated that mutations at residues L87M, T101I, Y267F, A297S, G300A, Y305D, I324Y, Q370R, N426E, A440T, and I447M may alter the tertiary structure of the VP2 protein, potentially affecting antigenicity and receptor recognition. Collectively, these results demonstrate the complete genotype replacement of CPV-2 in Shanghai; CPV-2c is now predominant. Identification of the novel I447M mutation and structural analysis of key amino acid substitutions provide insight into CPV molecular evolution. These findings suggest that vaccines primarily based on older CPV-2 or CPV-2b genotypes offer suboptimal protection, highlighting the need for updated vaccine strategies targeting prevalent CPV-2c variants. Full article

Forest biomass reflects the carbon storage capacity of forest ecosystems. Although remote sensing-based biomass estimation techniques have become increasingly mature, the issue of signal saturation in optical remote sensing still requires further investigation. This study was conducted in the Picea schrenkiana forest of the Ili River Valley in the western Tianshan Mountains. By integrating multimodal data from ICESat-2 LiDAR and GF-6 optical imagery, we developed machine learning and deep learning models to achieve high-precision biomass estimation. Based on forest management inventory data, we extracted spectral and textural features from GF-6, along with canopy structure attributes derived from the four acquisition modes (day/night, strong/weak beams) of ICESat-2. After correlation-based feature selection, LightGBM, CatBoost, and TabNet models were trained and compared. The results showed that models integrating multi-source data significantly outperformed those based on a single data source. The TabNet model not only achieved high estimation accuracy but also provided clear feature importance rankings, with ICESat-2-derived canopy height percentiles and GF-6 red-edge vegetation indices contributing most significantly to the biomass estimation of Picea schrenkiana. These findings demonstrate the feasibility of synergistically utilizing domestic high-resolution satellites and multi-mode spaceborne LiDAR for forest biomass estimation in arid regions, providing an effective technical reference for accurate carbon sink monitoring of specific tree species in forest areas. Full article

This study examines the dynamic interactions between oil price shocks, monetary policy, and non-oil output in Saudi Arabia using Vector Autoregressive Model (VAR), and quarterly data spanning 2010: Q1–2025: Q3. The study aims to provide policy-relevant insights through which external oil price shocks and domestic monetary policy shocks affect inflation and non-oil economic activity in the context of Saudi Arabia’s structural transformation under Vision 2030. The results show that global oil prices behave largely as exogenous shocks, with limited feedback from domestic monetary conditions, implying that monetary policy effectiveness operates primarily through inflation and domestic demand channels rather than through oil prices directly. The findings underscore the importance of gradual and predictable monetary tightening, coordinated with fiscal and macroprudential policies, to mitigate the indirect spillovers of oil price volatility on the non-oil sector. While monetary policy plays a stabilizing role by containing inflation and supporting macroeconomic balance, sustaining diversification and non-oil growth under Vision 2030 requires complementary measures, including targeted credit support, financial market deepening, and structural reforms that enhance productivity and private-sector investment. Full article

Digital transformation reshapes firms into more digital, data-driven, and customer-centric organizations. Because it often supports innovation, firms are widely expected to benefit from higher performance and productivity. However, it remains unclear whether higher national levels of digital integration translate into higher aggregate enterprise productivity. This study adopts a socio-technical and ecosystem perspective to examine the relationship between digital technology integration and enterprise labor productivity across the 27 EU member states, while also considering the role of key ecosystem enablers. A balanced country-year panel of data (N = 162) was constructed from Eurostat Structural Business Statistics on the apparent labor productivity of total enterprises, together with Digital Economy and Society Index (DESI) indicators on the integration of digital technology, human capital, connectivity, and Gross Domestic Product (GDP) per capita, covering the period from 2017 to 2022. To this end, fixed-effects regression models were estimated using robust standard errors clustered by country and combined with correlated random effects (CRE/Mundlak) decomposition. This methodological approach was adopted to distinguish short-run within-country dynamics from persistent between-country differences. The study contributes to ecosystem-level DESI research by using this distinction to assess how country-level digital integration is associated with enterprise productivity. The fixed-effects results provide no evidence that year-to-year changes in digital technology integration, on their own, are associated with higher enterprise productivity. Additionally, no statistically significant interaction effect was observed with either human capital or digital connectivity. By contrast, GDP per capita was found to be a robust positive predictor of enterprise productivity. The CRE/Mundlak results indicate that the majority of between-country productivity differences are attributable to differences in economic development. Furthermore, there is evidence of a positive association between the average level of digital technology integration and human capital. Taken together, these findings suggest that national digital technology integration reflects business environment conditions at the ecosystem level. While it may create opportunities for enterprise business model innovation, its productivity implications are more likely to emerge gradually through stronger absorptive capacity and complementary capabilities. Consequently, the study suggests that enterprise digital transformation policies should be aligned with investments in digital skills and broadband infrastructure. These policies should also support process redesign, greater interoperability, and the implementation of AI-enabled technologies. Full article

This study investigated the sensory and chemical properties of extra virgin olive oil (EVOO) under simulated domestic consumption conditions. EVOO with different polyphenol contents was analyzed and stored in the dark and at room temperature (20 °C) to simulate typical household storage and consumption. The volume of the bottles at the beginning was 1 L, from which 20 mL was taken daily from the same bottle for a period of one month. Chemical and sensory analyses were performed at the beginning and at the end of the experiment, whereas total polyphenol content and volatile organic compounds (VOCs) were analyzed at 7-day intervals. The results revealed a progressive reduction in total phenolic compounds, with a more pronounced decline in the sample initially characterized by a lower phenolic content. GC/MS analysis showed an increase in aldehydes such as trans, trans-2,4-octadienal, hexanal and nonanal, as well as in acetic acid and 1-octen-3-ol during a one-month period. These chemical changes were accompanied by a slight attenuation in the herbaceous sensory descriptors of EVOOs by the end of the simulated household consumption period. This suggests that choosing EVOOs with a higher phenolic content, in addition to their recognized nutritional benefits, can offer greater protection by slowing oxidative reactions and better preserving the quality of the oil during domestic use. Full article

This study explores the sustainable extraction, quantification, and functional evaluation of antioxidant amphiphilic (TAC) and lipophilic (TLC) compounds from avocado (Persea americana) products and by-products using green, solvent-efficient extraction, for potential applications in functional foods and/or cosmetics. Juice derived from organically grown domestic (Greek) avocado and the remaining juicing pulp by-products were subjected to a green extraction and partitioning fractionation process to obtain separately the extracted TLC and TAC. Quantitative analyses of total phenolic (TPC) and carotenoid contents (TCC), as well as antioxidant activity (DPPH, ABTS, FRAP), were performed using UV–Vis spectroscopy just after the extraction. ATR–FTIR spectroscopy was used to structurally characterize TAC bioactives compared to standards (gallic acid, quercetin, beta-carotene, soy phospholipids). TAC extracts exhibited higher TPC and superior antioxidant capacity across all assays, in comparison to the TLC, especially in the by-products. Despite relatively modest absolute phenolic and carotenoid concentrations compared to the literature, the extracts retained potent bioactivity, indicating selective enrichment of functional compounds. UV–Vis spectral peaks (240 nm, 310 nm) confirmed the presence of conjugated systems, suggesting potential for anti-UV photo-protective cosmetic applications. ATR–FTIR analysis further identified functional groups of key amphiphilic constituents, including simple phenolics, flavonoids, polyphenols, carotenoids and polar lipids. TAC extracts were successfully integrated into plant-based jelly prototypes as functional food supplements. Antioxidant stability of the jelly was retained for 15 days under refrigeration, though shelf-life limitations due to moisture and microbial growth highlight the need for preservative strategies. This work demonstrates a circular bioeconomy approach to food waste valorization, with significant implications for sustainable innovation in functional foods and clean-label cosmetics. Full article

Peste des Petits Ruminants (PPR), a highly contagious disease of domestic and wild small ruminants, is characterized by severe morbidity and mortality. PPRV, the causative agent, is a morbillivirus in the family Paramyxoviridae. The virus poses a significant barrier to sustainable agricultural development in the developing world. Currently, no effective therapeutics agent for PPRV infection is available. Ginsenoside Rb3, the major bioactive constituent in the plants of ginseng, was reported to exert a wide range of pharmacologic and immunologic effects. However, it is unclear whether Ginsenoside Rb3 can act as an antiviral against PPRV infection. Here, we show that Ginsenoside Rb3 exhibits significant antiviral activity against PPRV in cell culture models. The mechanism of action of Ginsenoside Rb3 against PPRV is mainly attributed to its ability to inhibit PPRV-mediated autophagy, thus leading to promotion of interferon responses. In summary, our study establishes Ginsenoside Rb3 as a novel antiviral agent effective against PPRV, sheds light on its mode of action, and reveals a novel immunomodulatory strategy that may prove essential for combating both current and future viral outbreaks. Full article

The guinea fowl (Numida meleagris), a thermo-tolerant and disease-resilient poultry species, holds great potential for sustainable poultry production in climate-vulnerable regions. The genomic aspects of this species remain largely understudied. The present study aims to delineate the patterns of domestication and understand the evolutionary dynamics of guinea fowl populations (wild and domestic) across three continents, utilizing whole-genome sequencing data from 122 genomes. The population structure analyses (ADMIXTURE, PCA, phylogeny, F_ST, LD, and MAF) revealed that Indian guinea fowl (CARI) shared close ancestry with Iranian (IRAD) and Chinese (CHID) domesticated populations while remaining distinct from wild lineages. The runs of homozygosity (ROH) identified 49,088 segments, with short fragments (ROHs) preponderant in Indian and domestic populations, reflecting historical inbreeding and effects of domestication cum selection. Copy number variation (CNV) analysis revealed 105,178 CNVs concatenated into 40,067 CNV regions (CNVRs) across 11 populations, establishing the first CNV atlas for guinea fowl at the global level. Gene annotation of overlapping ROH and CNVRs revealed 1080 common candidates across Asian guinea fowl populations, i.e., the Indian guinea fowl (CARI), IRAD, and CHID, including FOS, EPAS1, CD74, and CSF1R. These genes have earlier been associated with immune regulation, stress response, and thermal adaptation. Selection signature scans, integrating intra-population (iHS) and inter-population (XP-EHH) approaches, uncovered genes under positive selection linked to immune response (like BCL11B, IL18, and GPC3), thermo-tolerance (like TRPV4 and BAG3), lipid metabolism (like AACS and ELOVL4), and pigmentation (BCO2). These signatures highlight the molecular basis of resilience in guinea fowl and their potential to withstand climate-induced stresses. This study presents the first global CNV atlas for guinea fowl and provides the first comprehensive genomic characterization of the Indian domestic population, integrating ROH, CNV, and selection signature analyses. It offers a comprehensive assessment of guinea fowl genomes (wild and domesticated) across three continents, offering insights into domestication, evolutionary dynamics, and the genetic basis of their adaptation and resilience. Full article

Kazakhstan is one of the world’s major wheat producers and exporters, playing an important role in regional and global food security. However, increasing quality requirements in domestic and export markets have exposed limitations in the country’s capacity to consistently supply high-quality spring bread wheat (Triticum aestivum L.). This review aims to assess the current status of spring wheat grain quality in Northern Kazakhstan, identify the main factors driving its variation, and outline pathways for quality improvement. The analysis is based on published literature, official statistics, national quality standards, and recent data on wheat production, grading, breeding systems, agronomic practices, and trade patterns. The review reveals that wheat production is dominated by medium-quality grain (primarily class 3), while high-quality classes suitable for premium and improver markets represent a small share. Compared with major exporters such as Canada, the United States, and Australia, Kazakh wheat is generally inferior across key quality parameters. Structural constraints include the limited integration of quality assessments within breeding programs, insufficient laboratory infrastructure, weak agroecological zoning by quality classes, and suboptimal agronomic management, particularly regarding nitrogen use. Environmental heterogeneity and climate change further influence the yield–quality balance. Overall, the findings suggest that improving wheat grain quality in Kazakhstan will require coordinated advances in breeding, agronomy, institutional capacity, and market alignment, enabling a gradual shift toward a more competitive, quality-oriented wheat production system. Full article

The rapid deployment of surveillance cameras in urban, industrial, and domestic environments has intensified the need for intelligent systems capable of analyzing video streams beyond the limitations of single-camera setups. Unlike traditional single-camera approaches, multi-camera systems expand spatial coverage, reduce blind spots, and enable consistent tracking of people and objects across non-overlapping views, thereby improving robustness against occlusions and viewpoint changes. This article presents a comprehensive review of multi-camera vision systems published between 2020 and 2025, covering application domains including public security and biometrics, intelligent transportation, smart cities and IoT, healthcare monitoring, precision agriculture, industry and robotics, pan–tilt–zoom (PTZ) camera networks, and emerging areas such as retail and forensic analysis. The review synthesizes predominant technical approaches, including deep-learning-based detection, multi-target multi-camera tracking (MTMCT), re-identification (Re-ID), spatiotemporal fusion, and edge computing architectures. Persistent challenges are identified, particularly in inter-camera data association, scalability, computational efficiency, privacy preservation, and dataset availability. Emerging trends such as distributed edge AI, cooperative camera networks, and active perception are discussed to outline future research directions toward scalable, privacy-aware, and intelligent multi-camera infrastructures. Full article

In recent years, pigeon rotavirus A (PiRVA) infection, an important emerging disease, has posed a major threat to the healthy development of the pigeon industry and public health. Therefore, developing an accurate, rapid and convenient detection method for this virus is vital for monitoring and early diagnosis of the disease. In this study, on the basis of the ORF sequence characteristics of the PiRVA VP6 gene, crRNA and reverse transcription recombinase-aided amplification (RT-RAA) primers were designed. On the basis of the CRISPR/Cas12a system, for the first time, the RT-RAA-CRISPR/Cas12a rapid detection method of PiRVA was established by combining RT-RAA and lateral flow strips. This method could specifically detect PiRVA, and there was no cross-reaction with other common viruses originating from pigeons. The minimum detection limit was 16.8 copies/μL, and the results of the intrabatch and interbatch repeated tests were consistent. Moreover, the method established in this study and the previously established common PCR method were used to analyse 56 clinical tissue samples from racing pigeons and domestic pigeons collected in 2025. The positive rates of racing pigeon and domestic pigeon samples detected by PCR were 17.6% and 12.8%, respectively, and the positive rates of racing pigeon and meat pigeon samples detected by the RT-RAA-CRISPR/Cas12a method were 23.5% and 17.9%, respectively, indicating that PiRVA infection occurs in both racing pigeon and domestic pigeon populations in China. In summary, the PiRVA RT-RAA-CRISPR/Cas12a detection method established in this study has good specificity, sensitivity, and reproducibility, and allows visualization of the results, which can be used for field applications. This study provides technical support for epidemiological surveillance and etiological research on PiRVA. Full article

The recycling of Floating Production Storage and Offloading (FPSO) units has become an important economic and environmental challenge as a growing number of offshore assets reach end-of-life. This study evaluates the comparative economic, environmental, and social performance of alternative FPSO recycling scenarios evaluated using a stochastic Monte Carlo simulation, focusing on five FPSOs that operated in Brazil and were scheduled for recycling either domestically or in Denmark. Twelve performance indicators were aggregated into sustainability indices using a Monte Carlo simulation with 100,000 iterations, enabling analysis of robustness and variability across ten recycling scenarios. The results indicate that Brazilian recycling scenarios (P-32 and P-33) outperform the Danish scenarios in terms of global performance, with Global Sustainability Index values predominantly ranging from 0.59 to 0.75, compared to 0.37 to 0.61 for the Danish cases. Differences in performance are mainly associated with towing distance, cost structure, and emissions. Social indicators show limited variability and act as a stabilizing component across scenarios. Plasma cutting presents slightly better environmental and economic results than LPG cutting, although it does not alter the overall ranking of scenarios. These findings support decision-making on FPSO recycling scenarios by highlighting the role of uncertainty and contextual factors, particularly in emerging recycling markets. Full article

This study assesses the technical feasibility of utilizing aggregated domestic freezers in Turkey as a distributed resource for frequency regulation. A dynamic thermal–electrical model was developed to simulate freezer responses under frequency deviation scenarios representative of real-world grid conditions. The modeled sample of 100,000 deep freezers (80 W each) can deliver approximately 3.2 MW of instantaneous down-regulation under a 40% initial duty cycle. Extrapolating to the estimated 4.7 million eligible freezers nationwide yields a total potential headroom of roughly 150–225 MW, depending on duty-cycle assumptions. The compressor duty cycle and allowable temperature range were identified as key factors influencing both regulation capacity and endurance. Although linear reference temperature control enabled effective participation in FCR-N within the simulated timeframes, it also led to cycle synchronization and peak loads following disturbances. Implementing strategies such as randomized reconnection delays could mitigate these effects. The wide availability of domestic freezers, minimal consumer impact, and broad geographic distribution suggest that this resource represents a promising complement to existing frequency regulation assets, particularly in enhancing grid stability amid increasing renewable energy penetration. Full article