Search Results (59,230)

Water pollution from the sugar industry is a significant environmental problem as it generates effluents containing organic compounds, solids, nutrients, and chemicals such as H₃PO₄, SO₂, and Ca (OH)₂. Mesoporous silica nanoparticles (MSNs) are a promising option for its treatment, due to their high surface area, and ease of functionalization using organically modified silanes (ORMOSIL) improving its adsorption of contaminants. The objective of this study is to remove anions (Cl⁻, SO₄²⁻, NO₂⁻, NO₃⁻) from the wastewater of a sugar mill in Campeche, Mexico and improve its physicochemical parameters (conductivity, turbidity, dissolved oxygen) using MSNs functionalized with 3-aminopropyltriethoxysilane (MSNs-APTES) or 3-(2-aminoethylamino)propyltrimethoxysilane (MSNs-3-2-A). The synthesized materials were characterized by FTIR and XPS analyses, which confirmed the incorporation of amino functional group and that MSNs-APTES exhibited a stronger N1s signal, indicating greater surface accessibility of amino groups. However, a partial surface masking under complex aqueous conditions was revealed. In contrast, MSNs-3-2-A showed lower apparent surface exposure of amino groups maintaining a more stable functional presence after exposure, likely due to its diamine structure promoting more confined interactions within the mesoporous framework. The results of removing anions and physicochemical parameters of wastewater exposed to MSNs indicate that treatments with MSNs-APTES and MSNs-3-2-A were able to significantly reduce the concentrations of SO₄²⁻, NO₂⁻ and NO₃⁻ anions, but not able to reduce the chloride ion. A decrease in turbidity and an increase in dissolved oxygen were also observed. Then, both materials proved to be functional and stable in contact with wastewater, demonstrating their potential for environmental remediation, particularly for the removal of anionic contaminants from sugar industry effluents. Full article

The purpose of this study is to develop and validate a System Dynamics (SD) model that illustrates how Artificial Intelligence (AI), including generative AI, alters project lifecycle behavior under a hybrid agile–predictive governance approach. The study method uses SD model to operationalize the PMBOK performance domains as an interconnected system of stocks, flows, and feedback loops. These constructs and their interaction represent delivery progress, stakeholder engagement, team capacity, measurement accuracy, governance alignment, and uncertainty exposure. Planning effectiveness is treated as an emergent performance indicator arising from the interaction of the planning-related feedback structures. The proposed model embeds AI levers for planning, risk, measurement, stakeholder sensing, and team support. A calibrated baseline model representing conventional project dynamics was validated in two ways. First it was validated structurally against PMBOK guidance and the SD literature. Secondly, it was validated behaviorally against stylized project trajectories. The AI-augmented variant was then simulated under identical initial conditions to assess marginal effects. Across multiple scenarios, AI integration reduced peak uncertainty exposure by up to 33%. Also, the AI-augmented system showed reduced planning effort by 15%, and improved monitoring and risk sensing by accelerating feedback and reducing delays by 25%. AI also improved measurement accuracy trajectories and accelerated cumulative delivery while lowering volatility in work completion rates. Governance coherence and development approach alignment improved, while stakeholder engagement and team capacity showed smaller changes. The results demonstrate that AI primarily acts as an enabler that strengthens high-impact feedback loops in planning, monitoring, and risk sensing within a hybrid methodology. AI also delineates boundaries where managerial judgment and cultural change remain critical for effective framework validation. Full article

Type 2 Diabetes Mellitus (T2DM) is a widespread metabolic disorder that can affect brain health, primarily through the damaging effects of prolonged hyperglycemia. This condition increases oxidative stress (OS), neuroinflammation, and neuroapoptosis, ultimately impairing cognitive function. Acrylamide (ACY), a neurotoxicant formed during high-temperature food processing and present in cigarette smoke, may further aggravate these neurological disturbances. The present experiment examined the exacerbating effects of T2DM and ACY exposure on cognitive function, neurodegeneration, OS, neuroinflammation, and neuroapoptosis in diabetic rats. T2DM was induced via intraperitoneal injections of nicotinamide and streptozotocin, followed by daily oral doses of ACY for a month. Behavioral assessments (EPM, NOR, and Y-maze) evaluated cognitive performance. Brain tissues were analyzed for biochemical markers of neurodegeneration (GSK-3β, AChE, BACE1), OS (MDA, GSH, Catalase), neuroinflammation (NF-κB, TNF-α, PGE2, COX-2), and neuroapoptosis (Bcl-2, Bax, Caspase-3). Immunohistochemistry of Bcl-2, Bcl-6, CD138, and NF assessed structural brain changes. Results indicated that T2DM and ACY exposure significantly increased the incidence of neurological disturbances. Notably, through increased COX-2, PGE2, MDA, Bax, Bcl-6, Caspase-3, and cognitive decline deficits. This study highlights the harmful neurotoxic amplification of T2DM and ACY exposure, emphasizing the importance of public health measures to reduce ACY exposure through dietary and lifestyle changes, particularly among T2DM populations. Further research into neuroprotective strategies and underlying mechanisms is necessary. Full article

Background: Despite major advances in antiretroviral therapy, HIV transmission remains an important public health challenge. Pre-exposure prophylaxis (PrEP) is a highly effective prevention strategy, offering a significant opportunity to further reduce new HIV infections through expanded access and optimized implementation. Methods: A national multidisciplinary consensus process was conducted to define principles and operational pathways for PrEP referral and linkage in Romania. Experts from different medical fields, professional societies, academic institutions, and community-based organizations participated in structured discussions. Results: The consensus highlighted relevant knowledge gaps related to HIV prevention and PrEP among specialists working outside the field of infectious diseases, including difficulty recognizing risk factors for HIV, uncertainty about next steps after identifying risk factors, and uneasiness discussing sexual health. The consensus also emphasized a shared commitment of these professional societies to address these gaps through pragmatic, specialty-adapted training. Key priorities included improved HIV risk recognition in routine care, development of communication skills, and clear referral pathways to PrEP services. Existing barriers were also discussed, underscoring the importance of multidisciplinary networks and community engagement. Conclusions: This consensus provides a structured, context-adapted framework to support the upcoming nationwide implementation of PrEP in Romania. By strengthening provider education, clarifying clinical pathways, and fostering interdisciplinary collaboration, it offers a foundation for equitable and sustainable HIV prevention. Full article

Background/Objectives: The primary mechanisms driving UV-induced carcinogenesis include DNA damage leading to mutations, and reactive oxygen species (ROS) formation that can cause inflammation, immunosuppression, alteration of the structure of proteins, including transcription factors, and carcinogenesis through epigenetic modifications. Curcumin has the potential to inhibit DNA-methyltransferases (DNMTs) and histone deacetylases (HDACs), but this has not been examined yet at the gene-expression level. In this article, we aimed to explore the potential protective effect of curcumin against UV radiation-induced DNMT1, DNMT3A, DNMT3B, HDAC5, and HDAC6 expression in immortalized keratinocytes (HaCaT), hepatocellular carcinoma (HepG2), and lung adenocarcinoma (A549) cells. Methods: Cells were exposed to UV-B radiation for different periods and treated with curcumin at different concentrations to evaluate dose-related trends in DNMT and HDAC gene expression compared with untreated UV-exposed cells. Results: UV exposure increased the DNMT and HDAC gene expression levels in the examined cells dose-dependently. Curcumin exposure resulted in decreased mRNA expression levels of DNMT and HDAC gene expression. In our experimental setup curcumin modulated the transcription of DNMT and HDAC genes in A549 and HaCaT cells in a dose-dependent manner. In HepG2 cells, UV-B induced a less pronounced, but still significant, increase in the examined gene expression levels. This effect was also dose-dependently decreased by curcumin, although less markedly. Conclusions: Future studies are warranted to examine if curcumin combined with other chemopreventive agents through the HDAC and DNMT inhibitory activity at the gene expression level can exert a synergistic effect and may potentially supplement cancer therapeutic strategies. Full article

Background: Chronic insomnia disorder (CID) frequently coexists with diarrhea-predominant irritable bowel syndrome (IBS-D), a comorbidity characterized by gut–brain axis dysfunction and persistent inflammatory activation. However, the molecular mechanisms underlying this overlap remain incompletely understood, and effective multitarget interventions are lacking. Objectives: This study aimed to identify quercetin as a potential bioactive compound for IBS-D-associated insomnia and to investigate whether its protective effects are associated with modulation of the PI3K/AKT/NF-κB signaling pathway. Methods: CID- and IBS-D-related targets were collected from public databases. Candidate compounds were screened using bioinformatics and network pharmacology analyses, followed by molecular docking. Experimental validation was conducted in 36 male C57BL/6J mice assigned to control, CID+IBS-D model, quercetin-treated, and quercetin-plus-Recilisib-treated groups. Sleep-related behavior, EEG/EMG-derived sleep architecture, intestinal function, inflammatory markers, and pathway-related proteins were assessed. Results: Quercetin was identified as a core candidate compound. Network pharmacology revealed 43 shared targets among CID, IBS-D, and quercetin, with significant enrichment in PI3K/AKT-related signaling. In vivo, quercetin improved sleep-associated phenotypes and intestinal dysfunction; reduced visceral hypersensitivity; restored ZO-1 and Occludin expression; suppressed hypothalamic and colonic inflammatory responses; and was accompanied by reduced phosphorylation of PI3K, AKT, IκB, and NF-κB p65 in the hypothalamus. Quercetin also increased hypothalamic 5-HT1A and GABA_A Rα5 expression. These effects were partially reversed by Recilisib, supporting the involvement of PI3K/AKT-associated signaling in quercetin-mediated protection. Conclusions: Quercetin alleviated key sleep-related and IBS-D-like phenotypes in a composite murine model of gut–sleep comorbidity. The protective effects were associated with reduced inflammatory activation and modulation of PI3K/AKT/NF-κB-related signaling. These findings support quercetin as a promising candidate for gut–brain axis-related comorbid disorders, while further studies are needed to define pathway specificity, tissue exposure, and translational applicability. Full article

During elections, information manipulation on social media has accelerated the use of artificial intelligence, yet the evidence is difficult to interpret without an integrated view of methods, data, and evaluation. We mapped 557 English-language journal articles from Scopus and Web of Science, combining performance indicators, science mapping, and a focused full-text synthesis of highly cited papers. The literature grows sharply after 2019, peaks in 2025, and shows geographically uneven production, with collaboration structured around a small set of hubs. The thematic structure suggests that, during the pandemic era, infodemic-related research served as a catalyst, intensifying scientific attention to fake news and disinformation and expanding the associated detection and monitoring agendas. In addition, socio-political harm constructs such as hate speech, extremism, and polarization appear as recurrent and structurally central targets, highlighting that election-relevant work often extends beyond veracity assessment toward monitoring discourse risks. Blockchain also emerges as a novel and adjacent integrity theme, aligned with authenticity and provenance-oriented mitigation rather than mainstream detection pipelines. AI for electoral disinformation is not reducible to veracity classification, as influential studies also target automation and coordinated behavior, verification support, diffusion analysis, and estimation frameworks that focus on exposure and impact. Evaluation remains heterogeneous and is often shaped by benchmark settings, making high accuracy values hard to compare and potentially misleading when labeling quality, topic leakage, or context shift are not characterized. Overall, the findings motivate evaluation protocols that align operational objectives with modeling roles and explicitly address robustness to temporal and platform changes, asymmetric error costs during election windows, and representativeness across electoral contexts and languages, while also guiding future work on emerging integrity challenges and governance-relevant deployment settings. Full article

Urban rail wheels endure prolonged exposure to frequent starts and stops, heavy cyclic loads, and complex track conditions, which often lead to premature failure modes such as wear, fatigue cracking, and corrosion in conventional wheel materials. These limitations restrict their ability to meet the evolving demands of modern rail systems for enhanced durability and performance. To address this, the present study uses laser cladding to deposit high-entropy alloy coatings with systematically varied aluminium content onto wheel substrates. The study compares phase composition, microstructure, and mechanical properties across the different coatings. Results show that increasing Al content transforms the coating microstructure from a single face-centred cubic (FCC) phase to a dual-phase structure of FCC and body-centred cubic (BCC) phases, accompanied by notable grain refinement. Among the variants, the CrMnFeCoNi(Al)₈ coating has the densest microstructure and the most favourable mechanical performance. It achieves a microhardness of 399.62 HV_0.5 in the as-clad state and 450 ± 5 HV_0.5 after heat treatment, representing an increase of approximately 12.6%. This coating also demonstrates improved corrosion resistance, with an open-circuit potential 0.07 V higher than the CL60 substrate. Multi-body dynamics simulations confirm that the clad wheels maintain excellent operational stability and safety under service conditions. Full article

This paper examines the connection between Environmental, Social, and Governance (ESG) factors and the risk of geopolitics, as defined by the Geopolitical Risk (GPR) index. The concept of geopolitical risk is conventionally defined as the direct result of political incidents, war, and international tensions. The current study argues that the concept should be understood in a more structural and sustainable manner, relating to the underlying forces driving geopolitical risk. The main research question is whether and how the three pillars of ESG factors contribute to explaining and understanding cross-country and over-time variations in geopolitical risk. In an effort to avoid information loss associated with the ESG index’s aggregate nature, the three factors are considered separately and the three pillars are analyzed individually. The empirical context is a balanced cross-country panel dataset including 42 countries over the 2000–2023 time period. Data for the three factors are obtained from the World Bank dataset to standardize and compare data across countries and over time. The GPR index measures the level of geopolitical risk and is defined by Dario Caldara and Matteo Iacoviello. The GPR index captures the level of geopolitical tensions by analyzing media signals. The combination of the three sources enables direct connections and correlations among the three factors and the internationally recognized GPR index. The paper uses an integrated methodological approach that combines results from three distinct methods. The first method uses panel data analysis to estimate average marginal effects while controlling for unobserved heterogeneity. The second method uses clustering to identify structural patterns and divide countries into groups based on their unique characteristics and risk profiles. The third method uses machine learning regressions and nonparametric analysis to capture the complex relationships and interactions in the data. The three-step method is used for each pillar to ensure consistency and comparability. The results suggest that the three factors contribute to the GPR index in a unique manner. The environment and energy structure contribute to the GPR index as a risk multiplier; the social factor relates to exposure to instability; and the governance factor is a central stabilizing factor. The paper makes a unique contribution to the literature by defining the three factors and their relationship to the GPR index in a clear, sustainable manner. Full article

To map and describe the scientific evidence on germicidal ultraviolet C (UV-C) light for hospital surface disinfection, this scoping review examined device types, reported operational parameters, microbiological and clinical outcomes, and implementation aspects. Primary studies conducted in hospital settings and evaluating UV-C or ultraviolet germicidal irradiation on environmental surfaces were searched in four databases without date restrictions. Data were synthesized descriptively in tables and narrative form following JBI and PRISMA-ScR guidance. Eleven studies (2007–2025) met the inclusion criteria. Reported microbial reductions ranged from 1 to ≥5 log₁₀. Higher and more consistent reductions were predominantly observed under laboratory or controlled experimental conditions, whereas reductions in real-world hospital surface sampling were more variable and influenced by pathogen type, surface material, room geometry, and shadowing. Integration of UV-C with manual cleaning and multi-position irradiation cycles was associated with greater effectiveness. Reporting of key radiometric parameters (dose, exposure time, and distance) was frequently incomplete, limiting reproducibility and cross-study comparability. Clinical findings were heterogeneous: some interrupted time-series analyses suggested reductions in healthcare-associated infections, although effects were not uniform across microorganisms. Implementation reports described room-level cycle times compatible with turnover, variable staffing requirements, and limited economic evaluation. Overall, UV-C appears to be a promising adjunct to standard cleaning practices in hospital environments. However, standardized radiometric reporting, multicenter studies, and robust clinical and economic evaluations are necessary to support safe, reproducible, and sustainable large-scale implementation. Full article

Background/Objectives: Vitamin D (VD), through the interaction with its receptor (VDR), plays essential roles in the skin. VDR-mediated signaling prevents cancer development and improves prognosis, making it an appealing target for therapy. However, VD cutaneous synthesis begins with solar exposure, which is the first etiological factor for cutaneous cancer and increases oxidative stress (OS). This complicates the dermatologist’s perspective when advising photoprotective strategies while aiming to consider the benefits of VD signaling. In this context, and in the absence of cutaneous data to date, this research aims to address VDR dynamics in skin cells and tissue subjected to OS. It also explores the potential of a natural photoprotectant with antioxidant properties (a specific combination of Polypodium leucotomos and Aspalathus linearis extracts) in preventing VDR depletion. Methods: HaCaT cell cultures and skin explants were used as experimental models. OS was induced by treatments with hydrogen peroxide (H₂O₂). The proteins of interest (VDR and Nuclear Factor Erythroid 2-Related Factor 2 (NRF2)) were analyzed by immunostaining. Cell viability, nuclear counterstaining, and Haematoxylin/Eosin staining were used as cyto/histochemical controls. Results: In both experimental models, we observed the reduction of VDR under OS. Pre-treatments with the botanical ingredient preserved VDR levels from that decline, probably through a mechanism involving NRF2. Conclusions: Cutaneous VDR levels are altered under oxidative stress, and certain photoprotectants could preserve them. This opens the door to preserving the benefits of VDR signaling while preventing solar radiation damage, bringing a new viewpoint for designing future strategies in skin cancer prevention and treatment. Full article

Intravascular lymphoma (IVL) is an uncommon subtype of non-Hodgkin’s extranodal lymphoma, distinguished by the proliferation of neoplastic cells within the lumen of small- to medium-sized arteries, with various organs recorded as impacted. The objective of this study was to evaluate the current literature about IVL and its involvement in the female genital tract, including an overview of diagnostic methods, imaging, and pathological features, selected therapy modalities, and outcomes in patients afflicted by this malignancy. We performed a narrative review with a systematic identification and presentation of published cases of IVL affecting the female genital tract. A literature search was carried out across PubMed, Scopus, and Web of Science for relevant studies presenting data on IVL affecting the female genital tract. Case reports and series that met predefined inclusion and exclusion criteria specified by the modified PECOS (“Population,” “Exposure,” “Comparison,” “Outcomes,” and “Study design”) framework were included. Patients most commonly presented with abnormal vaginal bleeding, pelvic pain, and B symptoms. Fluorodeoxyglucose positron emission tomography computed tomography (FDG PET/CT), often performed alongside abnormal laboratory findings such as elevated lactate dehydrogenase (LDH), played a key role in raising suspicion for hematologic involvement of the female genital tract and guiding biopsy. Most cases represented B-cell intravascular lymphoma and were treated with Rituximab plus (CHOPR-CHOP) based chemotherapy, frequently combined with hysterectomy. Full article

Background: Unicompartmental knee arthroplasty (UKA) is an effective treatment for isolated compartment knee osteoarthritis, but it is associated with a higher risk of revisions. UKA-to-TKA conversions remain surgically challenging. In particular, the restoration of correct femoral rotation is difficult, mainly because of bone loss and altered anatomical landmarks. We describe a novel imageless robotic-assisted technique for UKA-to-TKA conversion using the ROSA™ robotic system and report a representative clinical case. Methods: After a standard medial parapatellar approach and joint exposure, the landmarks are registered with the UKA in situ, followed by the standard workflow for a robotic-assisted primary TKA according to the “inverse functional alignment” philosophy (virtual planning, tibial cut, planning adjustment, distal femoral cut and planning adjustment). At last, the femoral component rotation is defined using the FuZion^® tensioner, with the UKA femoral component being left in situ to compensate for the lateral posterior condyle bone loss. Results: A 72-year-old female patient underwent robotic-assisted lateral UKA-to-TKA conversion due to aseptic loosening of the tibial component. Accurate bone resection, restoration of alignment, and soft tissue balancing were achieved, avoiding the use of augments. Postoperative recovery was uneventful, with satisfactory clinical and functional outcomes at 3-month follow-up. Conclusions: Imageless robotic-assisted UKA-to-TKA conversion using the ROSA™ system seems a valuable aid in these complex scenarios. To our knowledge, this is the second report describing this procedure using the ROSA™ robot and the first presenting a distinct surgical technique. Further studies on larger cohorts are needed to confirm this technique efficacy and possible limitations. Full article

Per- and polyfluoroalkyl substances (PFAS) continue to be one of the most persistent global contaminants and are increasingly recognized as leading metabolic- and hepatic-dysfunction mediators. Despite extensive investigation of PFAS toxicity, a critical gap in the identification and integration of toxicokinetic drivers of hepatic bioaccumulation with mechanistic pathways driving mitochondrial and nuclear receptor-related injury, more specifically, with respect to alternative PFAS strategies, still remains. Legacy PFAS, including PFOA and PFOS, accumulate in the liver and disturb mitochondrial homeostasis as they disrupt β-oxidation, induce oxidative stress, and alter lipid and bile acid metabolism. Meanwhile, the next-generation PFAS variants (including short-chain and polymeric substitutes) are rapidly increasing in environmental concentrations, but remain insufficiently characterized and poorly regulated, raising concerns that substitution-based strategies may maintain their toxicological risk. We summarize the evidence of the association between PFAS bioaccumulation and mitochondrial dysfunction, metabolic reprogramming, and inflammatory signaling, and illustrate mechanistic convergence across legacy and emerging PFAS. We also review insights from recent experimental models, such as 3D hepatocyte systems and human-relevant receptor platforms that more closely mimic chronic exposure states. This review emphasizes mechanistic convergence across legacy and emerging PFAS, highlighting shared pathways that may persist despite chemical substitution. Thus, we discuss key gaps in monitoring, toxicity assessment, and policy, including the requirement of regulatory paradigms that treat PFAS as a class rather than individual compounds. Full article

Artificial intelligence (AI) technologies are becoming increasingly integrated into the everyday lives of children, influencing how they learn, communicate, and develop emotionally. As AI assumes a more central role in children’s digital ecosystems, AI literacy—the ability to understand, engage with, and make informed decisions about AI systems—is no longer a luxury but a developmental necessity. This review explores how AI literacy intersects with children’s mental health, particularly through the lens of socioeconomic status. Drawing on Digital Capital Theory and Cumulative Advantage/Disadvantage Theory, the paper examines how inequalities in access to AI-related resources shape the emotional and psychological experiences of children. It argues that while AI literacy can enhance well-being across all social groups, its impact is especially transformative for children from low-income backgrounds. Children from middle- and high-income families often experience modest emotional gains from AI engagement, having already benefited from consistent digital exposure and support. In contrast, low-income children—who often begin with limited access and lower confidence—stand to gain disproportionately in terms of emotional resilience, self-esteem, and digital confidence when their AI literacy improves. The review concludes with policy and practice recommendations that prioritize equitable access and tailored interventions, especially for underserved populations who have the most to gain from both the cognitive and emotional benefits of AI literacy. Full article