Search Results (478)

Polymethyl methacrylate nanoparticles functionalized with three different compounds, acrylic acid (AA), curcumin (CUR), and fumaramide (FA), were tested in a two-step solid–liquid extraction process (extraction and stripping) for yttrium recovery. In both stages, the best conditions were determined: pH, solid–liquid ratio and the compound with the highest affinity for yttrium recovery, obtaining 90% of efficiency for both stages in a single work cycle. The results obtained by SEM ruled out the growing of nanoparticles by swelling and confirmed the formation of structural arrangements by the addition of the metal to the system. In addition, there is evidence that the recovery process can be selective considering the mixing of rare earth elements through changes in pH. Using isothermal titration calorimetry (ITC), the thermodynamic properties of the extraction process were calculated, understanding the system as the union of a macromolecule and a ligand. The results showed that the extraction process was spontaneous and highly entropic. Full article

Idiopathic pulmonary fibrosis (IPF) is a chronic and progressive interstitial lung disease associated with high morbidity and mortality. Both pulmonary and extrapulmonary comorbidities significantly influence disease progression and patient outcomes. Despite current therapeutic options, effective treatments remain limited. Quercetin, a naturally occurring flavonoid, has emerged as a promising compound due to its antioxidant, anti-inflammatory, and antifibrotic properties. Preclinical and clinical studies have demonstrated its ability to modulate key molecular pathways involved in IPF, including Nrf2, SIRT1/AMPK, and the regulation of fibrosis-associated microRNAs (miRNAs). Furthermore, quercetin shows therapeutic potential across a range of IPF-related comorbidities, including chronic obstructive pulmonary disease, pulmonary hypertension, lung cancer, cardiovascular disease, diabetes, and psychiatric disorders. Under these conditions, quercetin acts via epigenetic modulation of miRNAs and regulation of oxidative stress and inflammatory signaling pathways. This review highlights the multifunctional role of quercetin in IPF and its comorbidities, emphasizing its gene regulatory mechanisms and potential as an adjunctive or alternative therapeutic strategy. Full article

The fabrication of high-performance organic optoelectronic devices using solution-based techniques, in particular inkjet printing, is both a desirable and challenging goal. Organic light-emitting diodes (OLEDs) are multilayer devices that have demonstrated great potential in display applications, with ongoing efforts aimed at extending their use to the lighting sector. A key objective in this context is the reduction in production costs, for which printing techniques offer a promising pathway. The main obstacle to fully printed OLEDs lies in the difficulty of depositing new layers onto pre-existing ones while maintaining high film quality and avoiding damage to the underlying layers. In a bottom-emitting OLED, the electron transport layer (ETL) is the final organic layer to be deposited, making its printing particularly challenging, a process for which only a few successful examples have been reported. In this work, we report on the optimization of a 2,2′,2″-(1,3,5-Benzinetriyl)-tris(1-phenyl-1-H-benzimidazole) (TPBi)-based ink formulation for ETL printing on an emitting layer composed of 5,10-Bis(4-(3,6-di-tert-butyl-9H-carbazol-9-yl)-2,6-dimethylphenyl)-5,10-dihydroboranthrene (tBuCzDBA). A specific ratio of methanol to diethyl ether was identified as the most suitable for printing the ETL without compromising the integrity of the underlying layer. The printed ETL was successfully integrated into an OLED device, which exhibited a maximum current efficiency of 6.8 cd/A and a peak luminance of about 8700 cd/m². These results represent a significant step toward the development of a fully printed OLED architecture. Full article

Machine vision/image analysis is used in the sorting and handling of many aquatic species. Pictures of 474 New Zealand Greenshell™ (Perna canaliculus, Gmelin, 1791) whole unopened mussels (215 females and 259 males) from the top and from the side were analyzed to evaluate if visual attributes (size, shape, and color) can be used to differentiate gender. Size (length, width, height, and view area), color, and shape (by elliptic Fourier analysis and by ray length-ray angle analysis) were analyzed and differences by gender tested. Application of Artificial Neural Networks (ANN), Principal Component Analysis (PCA), Canonical Discriminant Analysis (CDA), and Random Forest (RF) to the shape parameters failed to reliably predict gender. Comprehensive morphometric and color characterization of males and females, as well as shape parameters, are presented as a reference for future image-based research. The parasitic crustacean pea crab can change the shape of mussel shells, and elliptic Fourier analysis can quantify this difference. Full article

Oklahoma has become a focal point in the national escalation of anti-2SLGBTQIA+ and anti-DEI efforts, emerging as one of the most aggressive states in proposing and advancing bills that undermine queer and trans rights across sectors, including public education, healthcare, free speech, and civil liberties. Although many bills do not pass into law, the volume, language, and momentum constitute a discursive and political terrain that actively regulates 2SLGBTQIA+ lives. This study retools the concept of strategic planning—typically associated with institutions’ mission-setting—as an analytical heuristic to examine how legislative efforts operate as a coordinated political agenda. Drawing on critical policy analysis (CPA) and critical discourse analysis (CDA), the authors map selected legislative texts from 2021 to 2024 to demonstrate how Oklahoma lawmakers are using policy discourse to reshape higher education into an extension of state power, advancing white cisheteronormative logics. By framing these efforts as ideologically coherent rather than isolated, this analysis contributes to the urgent work of identifying and resisting the restructuring of public education against 2SLGBTQIA+ communities. Full article

Background/Objectives: Neurological disorders often result in a broad spectrum of disabilities that impact mobility, communication, cognition, and sensory processing, leading to significant limitations in independence and quality of life. Assistive technologies (ATs) offer tools to compensate for these impairments, support daily living, and improve quality of life. The World Health Organization encourages the adoption and diffusion of effective assistive technology (AT). This narrative review aims to explore the integration, benefits, and challenges of assistive technologies in individuals with neurological disabilities, focusing on their role across mobility, communication, cognitive, and sensory domains. Methods: A narrative approach was adopted by reviewing relevant studies published between 2014 and 2024. Literature was sourced from PubMed and Scopus using specific keyword combinations related to assistive technology and neurological disorders. Results: Findings highlight the potential of ATs, ranging from traditional aids to intelligent systems like brain–computer interfaces and AI-driven devices, to enhance autonomy, communication, and quality of life. However, significant barriers remain, including usability issues, training requirements, accessibility disparities, limited user involvement in design, and a low diffusion of a health technology assessment approach. Conclusions: Future directions emphasize the need for multidimensional, user-centered solutions that integrate personalization through machine learning and artificial intelligence to ensure long-term adoption and efficacy. For instance, combining brain–computer interfaces (BCIs) with virtual reality (VR) using machine learning algorithms could help monitor cognitive load in real time. Similarly, ATs driven by artificial intelligence technology could be useful to dynamically respond to users’ physiological and behavioral data to optimize support in daily tasks. Full article

This study aimed to evaluate the chemical composition of milk from Kazakh mares kept under free-grazing conditions on natural pasture without supplementary feeding. Fifty Kazakh mares were aged 3 to 13 years, kept in herds, and categorized by age, number of foalings, and lactation stage for statistical analysis. Milk samples were collected, chilled, and analyzed on the same day using a Milkoscan FT2. The composition of fat, protein, lactose, total solids, casein, and other components was examined. Statistical analyses, including ANOVA, PCA, CDA, and Pearson correlation analysis, were performed using JMP 17 Pro to assess the effects of lactation stage, mare age, and foaling number and to identify key relationships. The results showed that milk composition was significantly influenced by these factors. Milk from the late-lactation stage contained higher protein, lactose, and total nutrients, while milk from the early-lactation stage had a higher sugar content and acidity. Older mares and those with higher foalings produced milk with higher concentrations of glucose and galactose, while younger mares and those with fewer foalings produced milk with higher fat. A key aspect of this experiment was that all mares grazed exclusively on natural pastures without supplementation, allowing for an objective assessment of their inherent productive potential. These findings deepen the understanding of mare milk composition dynamics in Kazakh breed horses under extensive management, supporting its potential for organic dairy production. Full article

The Andalusian Black Cattle (Negra Andaluza) represents a genetic lineage linked to the ancient Eurasian aurochs, shaped by domestication events in the Near East and later introgressions from Italian and North African wild cattle. This study investigates the breed’s anthropological and historical origins, geographical distribution, and genetic structure. Key influences include historical use as draft animals, regional breeding preferences, and gene flow via transhumant routes. The genetic analysis reveals that Córdoba is the principal nucleus, accounting for 448 identified ancestors, compared to 252 in Huelva and 193 in Seville. In Córdoba, contributions of nodal ancestors through inbreeding loops reached a maximum of 0.0447, while mean inbreeding ($\overline{\mathrm{F}}$) was 0.000949 and mean coancestry ($\overline{\mathrm{C}}$) was 0.000475, indicating moderate but geographically structured genetic drift. In contrast, areas with better connectivity showed higher heterogeneity and lower inbreeding contributions. Canonical discriminant analysis (CDA) revealed that the first discriminant function (F1) explained 79.72% of the variation among groups, primarily driven by nodal ancestors and inbreeding loops. Despite these signs of inbreeding, historical transhumance has helped preserve overall genetic diversity. These findings offer essential insights for conservation programs aimed at maintaining both the genetic integrity and adaptive potential of this historically and culturally important breed. Full article

While studies consistently show that the popular media often provide medicalized images of disabled people as “other” or inferior, dynamic societal changes, such as the diffusion of human rights laws, increasing public awareness, and the mediatization of disability activism, also influence media representations. The present research aims to identify relevant discursive practices in Hungarian online news media, a non-Western European country with about 50 years of a state party system under communism, and offer insight into how progressive policy changes and mediatized activism shape media features on disability. To establish the dataset, the most visited and independent online news media portal in Hungary (24.hu) was searched for articles discussing disability between 2019 and 2022. The 481 relevant articles extracted were analyzed using Critical Discourse Analysis (CDA) with the help of MAXQDA 2020. The findings reveal a multiplicity of disability representations: medicalized and victimized images on the one hand, and reports of resilience and “heroism” on the other. Three distinct discursive practices are identified: (1) traditional/ableist representations, (2) alternative representations with ableist framing, and (3) agency and the co-creation of disability representations. Results suggest that even 30 years after the political changes, disabled people’s collective agency is marginal in Hungary, and that socio-legal changes and mediatized disability activism are yet to influence news media features. Full article

Bearing fault diagnosis under varying operating conditions faces challenges of domain shift and labeled data scarcity. This paper proposes a dual-stream hybrid-domain adaptation network (DS-HDA Net) that fuses CNN-extracted time-domain features with MLP-processed frequency-domain features for comprehensive fault representation. The method employs hierarchical domain adaptation: marginal distribution adaptation (MDA) for global alignment and conditional domain adaptation (CDA) for class-conditional alignment. A novel soft pseudo-label generation mechanism combining Gaussian mixture models (GMMs) with the Mahalanobis distance provides reliable supervisory signals for unlabeled target domain data. Extensive experiments on the Paderborn University and Jiangnan University datasets demonstrate that DS-HDA Net achieves average accuracy values of 99.43% and 99.56%, respectively, significantly outperforming state-of-the-art methods. The approach effectively addresses bearing fault diagnosis under complex operating conditions with minimal labeled data requirements. Full article

Background: Target enhancement and non-target suppression are two critical mechanisms underlying representational prioritization in visual working memory (VWM). However, it remains unclear how VWM load modulates these prioritization mechanisms. Methods: Using EEG combined with a retro-cue paradigm, this study investigated how representational prioritization emerges under low (Experiment 1) and high (Experiment 2) memory load conditions. Methods: Behavioral results showed that under low load, both target and non-target items benefited from retro-cue. ERP analyses revealed significantly larger P2 and P3b amplitudes in response to valid compared to neutral retro-cues, whereas no significant contralateral delay activity (CDA) component was observed. Under high load, cueing benefits were restricted to target items, whereas non-target items suffered impaired performance. ERP analyses again showed enhanced P2 and P3b amplitudes for valid compared to neutral retro-cues, but a significant CDA component was also observed. Time–frequency analyses further revealed frontal theta synchronization (ERS) and posterior alpha desynchronization (ERD) under both load conditions. Notably, theta–alpha phase–amplitude coupling (PAC) was significantly stronger for valid than neutral retro-cues under low load, whereas under high load, PAC did not significantly differ between cue conditions. Conclusions: Together, these findings suggest that target enhancement serves as a stable mechanism for representational prioritization, whereas non-target suppression critically depends on resource availability. VWM load systematically shapes representational prioritization through modulation of oscillatory timing characteristics and inter-regional neural coordination. Full article

Urban forests (UFs) play a crucial role in mitigating climate change, but their management presents complex trade-offs between environmental, economic, and social aspects. We developed a Decision Support Tool (DST) to simulate 27-year UF dynamics under six different management strategies, aiming to maximize socio-economic and environmental benefits while considering costs. Business as Usual (BaU), Yielding Scenario (YS), High Management (HM), Forest Development (FD), Social Boost (SB), and Cover Maximizing (CM) strategies were tested with the DST in the Vazzieri district of Campobasso, central Italy. The DST integrates CO₂ removal, management expenditures and revenues, and the social usability of UFs. The findings show that while all the strategies contribute to climate change mitigation, FD and SB offer the best balance between the environmental and social sides. FD demonstrates significant CO₂ removal with moderate expenditures, whereas SB maximizes CO₂ removal despite its high management expenditures. Otherwise, YS and BaU show limited environmental benefits with beneficial economic outcomes. While achieving the highest environmental and social benefits, CM incurs the greatest economic costs. This study highlights the need for long-term, integrated UF strategies to harmonize climate change mitigation with economic viability and social inclusivity. The DST provides a valuable framework for urban planners and policymakers to optimize sustainable UF management. Full article

The quality and sensory characteristics of wines are influenced by several factors, including grape variety, local climate, soil conditions, viticultural practices, and vintage. This study investigates the volatile organic compounds (VOCs) in Malvasija Dubrovačka wines, which include various chemical groups such as terpenes, esters, alcohols, acids, and C13-norisoprenoids. The aim was to investigate how vineyard location and vintage influence the VOC profiles of these wines in two consecutive vintages. Using gas chromatography–mass spectrometry, 54 individual VOCs were identified and quantified. The results showed remarkable differences in the composition of VOCs, especially C13-norisoprenoids, terpenes, and acids, between the two vintages and the studied locations. Principal component analysis showed a significant influence of vineyard location on the composition of Malvasija Dubrovačka wines, a result that was reinforced by conventional descriptive analysis (CDA) of sensory testing. Full article

Chitin deacetylase (CDA) plays a pivotal role in converting chitin to chitosan, yet industrial applications remain constrained by low enzymatic activity, instability under process conditions, and insufficient understanding of metalloenzyme activation mechanisms. Addressing these challenges, we conducted a genome-driven investigation of 151 salt-tolerant Bacillus strains to identify robust CDAs tailored for industrial demands. Genomic analysis revealed 120 strains harboring CDA genes, with Bacillus pumilus B866 exhibiting the highest native activity (105.93 U/mL). Through systematic medium optimization—identifying lactose, yeast extract, and FeSO₄ as critical components—CDA production in B866 surged to 191.32 U/mL, a 2.39-fold increase over baseline. Heterologous expression of BpCDA in E. coli yielded a recombinant enzyme (123.27 U/mL) with superior thermostability (retaining > 42.9% activity after 24 h at 55 °C) and broad pH adaptability (>81.4% activity at pH 7.0–9.0). Notably, BpCDA demonstrated unique Fe²⁺-dependent activation (186.4% activity enhancement at 1 mM), contrasting with Mg²⁺-dependent systems in prior studies. Comparative genomic and pan-genome analyses underscored evolutionary adaptations linked to saline–alkaline niches, while biosynthetic gene cluster profiling revealed strain-specific metabolic potentials independent of genome size. This study resolves critical limitations in CDA performance by integrating genome mining, targeted screening, and metalloenzyme engineering, establishing a scalable platform for sustainable chitin valorization. The optimized BpCDA, with its industrial-compatible stability and novel activation mechanism, represents a significant advancement toward efficient, eco-friendly chitosan production. Full article

This study employs a critical perspective: aiming to provide a subjective and socially constructed view on the impact of corporate governance and the corporate social responsibility (CSR) choices on the environmental Kuznets curve (EKC) in terms of CO₂ emissions in Brazil. This research paper bridges the gap in the literature on the EKC by toeing a qualitative approach to what has been presented using quantitative methods, and offers insights on how the trends shape organisational policies. Furthermore, it enumerates the relationship between CSR, CO₂ choices, and EKC in the Brazilian aviation industry using one particular airline as a case study. It aims to provoke further conversation on decarbonisation. It seeks to show how EKC has been treated and to contextualise the impact of the airline sector’s CSR and corporate governance on EKC. A combination of a content analysis of the narratives of sustainability reports and a semi-structured interview with a sustainability expert from the aviation sector was used in data gathering, while critical discourse analysis (CDA) was employed in demonstrating the ideological and social contexts that shape organisational narratives and decisions in practices and governance structures that are driving CO₂ reduction strategies. The findings not only confirmed the crucial role that corporate governance plays in the implementation and monitoring of CSR practices within the sector but also shows the impact of integrating sustainability goals into corporate strategies. The policies nurtured by CSR are supported by the company’s ESG and Social Responsibility Committees. In the context of the case study, the corporate decision to transit to biofuels is contributing not only to the reduction in CO₂ emissions but is also seen as an economically viable strategy with public policies and regulatory frameworks. This paper further explains the impact of geopolitical factors and the need for international cooperation because the traditional U-shaped EKC is not supported in the context of the Brazilian aviation sector. Finally, this spurs the need for collaboration among various stakeholder companies, policymakers, and nations in the global context for sustainable development to have a lasting impact. Full article