Background/Objectives: Gliomas are the most common tumours of the central nervous system (CNS), classified into grades I to IV based on their malignancy. Genetic and epigenetic alterations play a crucial role in glioma progression. DNA methyltransferases (DNMTs) are vital enzymes responsible for DNA methylation, with DNMT1 and DNMT3 catalysing the addition of a methyl group to the 5-carbon of cytosine in CpG dinucleotides. Targeting DNMTs with DNA methyltransferase inhibitors (DNMTi) has become a promising therapeutic approach in tumour treatment. In this study, in silico screening tools were employed to evaluate potential inhibitors of DNMT1, DNMT3A, and DNMT3B for the treatment of glioblastoma multiforme (GBM). Methods: The Gene2Drug platform was used to screen compounds and rank them based on their capacity to dysregulate DNMT genes. PRISM viability assays were performed on 68 cell lines, and DepMap data were analyzed to assess the antitumor activities of these compounds and their target genes. Candidate drug similarity was evaluated using DSEA, and compounds with p < 1 × 10−3 were considered statistically significant. Gene-compound interactions for DNMT1, DNMT3A, and DNMT3B were confirmed using Expression Public 24Q2, while Prism Repositioning Public data were analyzed via DepMap. Results: Glioblastoma cell lines showed sensitivity to compounds including droperidol, demeclocycline, benzthiazide, ozagrel, pizotifen, tracazolate, norcyclobenzaprine, monocrotaline, dydrogesterone, 6-benzylaminopurine, and nifedipine. SwissTargetPrediction was utilised to identify alternative molecular targets for selected compounds, revealing high-probability matches for droperidol, pizotifen, tracazolate, monocrotaline, dydrogesterone, and nifedipine. Conclusions: Integrating computational approaches with biological insights and conducting tissue-specific and experimental validations may significantly enhance the development of DNMT-targeted therapies for gliomas.

Enhanced heat transport in triangular fins have promising applications in heat exchangers, electronics cooling, automobile radiators and power plants etc. Use of nanolubricants is an innovative way to enhance the performance of triangular fin. Thus, this work aims to analyze the triangular fin’s performance coated with hybrid nanolubricant (SiC–Co3O4)/diathermic oil and investigate that how the active parameters radiation, convective-conduction, porosity and heating source affect the performance. The formulation is accomplished using the energy equations together with enhanced characteristics of SiC–Co3O4 and diathermic oil. As a result, the second order model obtained. The artificial intelligence (AI) based scheme levenberg marquardt back-propagation (LMBP) method implemented. Further, the results for the model furnished using feasible ranges of the parameters. Authenticity of the scheme is verified through histogram error, functions fitting, regression analysis and validation checks. It is examined that the device can be maintained at low temperature by augmenting the conduction parameter from 1.0 to 4.0. Optimum heat transfer is acquired when the heating source Q and Peclet number Pe increased. Presence of pores at the triangular fin’s surface would be advantageous to cool the device. In conclusion, the use of hybrid nanolubricant subject to radiations, heating source, and porosity effects together with AI scheme provided beneficial results regarding the transport of heat using triangular fin.

ABSTRACTBrazil faces a growing tension between accelerating economic development and preserving ecological sustainability, particularly amid rising energy demand, fiscal vulnerabilities, and rapid digital transformation. While nuclear energy, digitalization, financial stability, and economic growth are often discussed as critical levers for sustainable development, their environmental impacts remain poorly understood in Brazil's context, given the country's unique convergence of structural, environmental, and economic factors. Motivated by this gap, the present study provides the first empirical assessment of the impacts of nuclear energy, financial risk, digitalization, and economic growth on Brazil's ecological quality, measured through the load capacity factor for the period between 1999Q1 and 2021Q4. To achieve this, the study employs advanced econometric techniques including wavelet quantile regression, wavelet quantile correlation, quantile‐on‐quantile kernel regularised least squares, and quantile‐on‐quantile Granger causality. Results from the wavelet quantile regression method reveal that nuclear energy exerts a negative influence on ecological quality across most quantiles and time scales. Similarly, digitalization, financial risk, and economic growth contribute to environmental degradation across different periods and quantiles. These findings are reinforced by wavelet quantile correlation and quantile‐on‐quantile kernel regularised least squares, while the quantile‐on‐quantile Granger causality analysis confirms the predictive influence of each explanatory variable on environmental sustainability. The study concludes by offering targeted policy recommendations aimed at aligning Brazil's economic and technological advancement with long‐term environmental sustainability.

Purpose This study aims to investigate the combined impact of technological innovation, natural resource rents (NRR) and green finance (GF) on sustainable human development in Sub-Saharan Africa (SSA). SSA is associated with poor quality of life because of low-level standards of living, poor health facilities, weak technological systems and low-level human capital. There is a dearth in the literature on how the advancement of human development could be achieved SSA, and this research provides empirical evidence that is crucial for policy implications. Design/methodology/approach Through adopting the human development index (HDI) the methods of moments quantile regression is used in this analysis. The annual data of the 43 SSA nations for the period are used. Robustness is ensured through feasible generalized least squares and panel-corrected standard errors with pretests confirming cross-sectional dependency heterogeneity and cointegration. Findings The outcomes of the research depict the importance of technological innovations, government effectiveness, NRR, financial development and GF in supporting human development. However, in as much as GF improves human development, its effect becomes insignificant in the upper quantiles. This research also depicts that renewable energy reduces human development, hence a great cause on concern in policymaking. Originality/value The novelty of the study is in employing the HDI of the United Nations Development Programme that constitutes three key dimensions – being knowledgeable, a health life and high standards of living – to cover the gap existing in the literature and present key policies for sustainable human development in SSA.

Background:Rotator cuff tears (RCTs) represent a significant challenge in orthopaedic care, particularly in chronic cases where tendon healing is suboptimal. Novel biological therapies such as concentrated growth factor (CGF) and stromal vascular fraction (SVF) offer promising solutions for enhanced tendon repair.Hypothesis:This study hypothesized that a fibrin scaffold enriched with CGF and SVF would improve tendon healing by reducing fatty degeneration, increasing vascularization, and enhancing biomechanical properties in a chronic RCT rabbit model.Study Design:Controlled laboratory study.Methods:A chronic RCT model was developed in the subscapularis tendon of 28 male New Zealand rabbits. In the first phase (week 0), the chronic injury model was created surgically. At week 6, in addition to the transosseous repair technique, biological materials were applied into the bone tunnel in each group as follows: hydrogel (group 1), fibrin gel with CGF (group 2), CGF+SVF–enriched fibrin scaffold (group 3), and no repair (group 4). At week 12, animals were euthanized, and samples were collected for macroscopic, histological, immunohistochemical, and biomechanical analysis.Results:Group 3 demonstrated a superior result. Fatty degeneration was significantly lower in group 3 compared with group 1 (P = .045). Vascularization and cellularity scores were highest in group 3 (3.7 ± 0.5 and 3.6 ± 0.5, respectively), significantly greater than group 1 (1.4 ± 0.5 and 1.3 ± 0.5, respectively) (P = .024 and P = .004, respectively). Collagen fiber continuity and regularity scores were 3.7 ± 0.5 and 3.6 ± 0.5 in group 3, respectively, significantly better than group 1 (1.4 ± 0.5 and 1.3 ± 0.5, respectively) (P = .006 and P = .003, respectively). Biomechanical testing revealed the highest tensile strength in group 3 (116.14 ± 8.49 N; P < .001). Midsubstance tears, indicating robust healing, were observed in 85.7% of tendons in group 3 compared with 28.6% in group 1 (P = .002). Notably, group 3 also demonstrated superior outcomes compared with group 2, with significantly greater tensile strength (116.14 ± 8.49 N vs 100 ± 6.85 N; P < .001) and improved histological parameters including reduced fatty degeneration, and increased vascularization and collagen fiber regularity.Conclusion:The inclusion of CGF and SVF in fibrin scaffolds significantly enhances tendon healing in chronic RCTs, outperforming the use of CGF alone. This combined biological approach offers a promising therapeutic strategy to optimize tendon repair outcomes.Clinical Relevance:These findings support the clinical potential of CGF and SVF in improving repair outcomes in chronic RCT cases in sports medicine.

BackgroundCandidozyma auris is an emerging multidrug-resistant fungal pathogen responsible for nosocomial outbreaks worldwide. In addition to antifungal resistance, its ability to persist in the hospital environment and tolerate commonly used biocides presents a critical challenge for infection control. However, the relationship between biocide tolerance, antifungal resistance, and virulence traits in C. auris remains poorly understood.MethodsIn this study, 47 C. auris Clade 1 isolates were evaluated using phenotypic and genotypic methods. ITS region sequencing was performed using Oxford Nanopore technology. Susceptibility testing was conducted for seven antifungal agents and four biocides using the CLSI reference microdilution method. Virulence factors including biofilm formation, secreted aspartyl proteinase, esterase, caseinase, phospholipase, and hemolysis were assessed.ResultsAll isolates were identified as Clade 1. MIC values for antifungals ranged from 0.015 to 64 µg/mL, and for biocides from 0.0078 to 128 mg/L. Fluconazole resistance was found in 31% of isolates, while amphotericin B resistance was 4%; no echinocandin resistance was observed. Biofilm and SAP activity were detected in all isolates; esterase was positive in 87%, and caseinase in 4%. Statistically significant correlations were observed between amphotericin B and isavuconazole MICs (ρ = 0.32, p = 0.028), amphotericin B and triclosan MICs (ρ = 0.35, p = 0.018), and amphotericin B MICs and caseinase activity (ρ = 0.31, p = 0.035). These findings suggest potential phenotypic links between antifungal resistance and specific virulence traits.ConclusionsThis is the first study from Türkiye to evaluate the antifungal and biocide susceptibility alongside virulence characteristics of Clade 1 C. auris. While statistically significant associations were observed, we acknowledge that resistance mechanisms and pathogenicity pathways are distinct. Therefore, these correlations should be interpreted cautiously and warrant further investigation at the molecular level.Supplementary InformationThe online version contains supplementary material available at 10.1186/s12941-025-00821-8.