Although intralesional curettage remains the standard treatment for giant cell tumor of bone (GCTB), the radiological determinants of postoperative functional outcomes remain incompletely defined. This study aimed to evaluate the association between clinicodemographic and radiologic characteristics and functional outcomes, local recurrence, and complications following surgical treatment of GCTB. A retrospective analysis was performed on 27 patients treated surgically for GCTB. Demographic variables, Campanacci stage, tumor burden metrics, and MRI features were recorded. Functional outcome was assessed using the Musculoskeletal Tumor Society (MSTS) score. Univariate comparisons were conducted for recurrence and complications. Multivariate linear regression analyses were performed to identify independent predictors of postoperative MSTS scores. Local recurrence occurred in 3 patients (11.1
This research explores the utilization of the R & ouml;ssler chaotic attractor in designing a broadband electromagnetic absorber with superior performance across the 2-20-GHz frequency range. The study commences with an in-depth exploration of the parameters governing the R & ouml;ssler chaotic system, culminating in the generation of intricate three-dimensional spatial representations. Given the standardized thickness of 0.035 mm for the z-axis in the absorber structure, these three-dimensional models were carefully processed through iterative algorithms using Julia Fractal transformations. This process facilitated the derivation of two-dimensional chaotic patterns, which were subsequently subjected to rigorous simulations to evaluate their electromagnetic absorption properties. In the proposed absorber design, the chaotic patterns were developed using a resistive ink with an accurate thickness of 0.035 mm, integrated with an FR-4 substrate. To maximize absorption efficiency, the absorber backplane was coated with copper at a standardized thickness of 0.035 mm. A comprehensive parametric analysis was conducted to examine the influence of critical design factors, including substrate thickness, absorber dimensions, and polarization modes across varying incident angles, on the absorption characteristics. The findings emphasize the unique capabilities of the R & ouml;ssler chaotic patterned absorber, unveiling its exceptional potential for deployment in a range of contemporary applications. Significantly, this study signifies a pioneering endeavor in applying the R & ouml;ssler chaotic methodology to the design and optimization of metamaterial absorbers. This contribution not only strengthens the theoretical understanding of chaotic systems in electromagnetic applications but also establishes a novel framework for future advancements in the field.
A novel series of bis-1,2,3-triazole derivatives was synthesized via click chemistry through the Huisgen 1,3dipolar cycloaddition between azides and terminal alkynes. The obtained compounds (3, 5(a-f)) were isolated in moderate to good yields, and their structures were confirmed by IR, 1H-NMR, 13C-NMR, and mass spectroscopic analyses, which clearly evidenced the formation of the triazole ring and the expected substitution patterns. Biological evaluation revealed that several derivatives exhibited remarkable antiproliferative and cytotoxic activities, with compound 3e showing the most potent and selective anticancer effect. Compound 3e demonstrated total growth inhibition values of 61.54-87.50 mu g/mL, induced 6.1-12.2 % cytotoxicity, inhibited cell migration by 18.66 %, and promoted apoptosis, as confirmed by DNA integrity assays. The DNA binding constant (K_b = 1.1 x 103 M-1) indicated a stable interaction with nucleic acids. Furthermore, molecular docking studies showed that 3e exhibited a high binding affinity toward the EGFR active site (Delta G = -7.73 kcal/mol), forming key hydrogen bonds with Lys721, Met742, and Leu764, comparable to those of the clinical inhibitor erlotinib. Overall, the synthesis, full spectroscopic characterization, and strong biological performance of these new bis1,2,3-triazole derivatives highlight compound 3e as a promising EGFR-targeted anticancer candidate for further development.
Background/Objectives: Accurate diagnosis and staging of periodontitis rely on clinical measurements and radiographic assessment of alveolar bone loss. Methods: Studies published between 1 January 2020 and 31 October 2025 were searched in the Web of Science and PubMed databases in accordance with the PRISMA guidelines. Original research articles that evaluated periodontal pathology on radiographic images using fractal analysis and/or artificial intelligence approaches, with clearly defined methodologies, were included. Due to methodological heterogeneity, a quantitative meta-analysis was not performed, and the findings were summarized using a narrative synthesis approach. Results: Of 346 records, 80 studies (9 fractal, 71 AI) met the inclusion criteria. Fractal analysis studies predominantly calculated the fractal dimension on panoramic or periapical radiographs using the box-counting method. In artificial intelligence studies, the task types mainly comprised classification, segmentation, detection, and hybrid approaches (multi-stage models or models combining multiple tasks). Panoramic and intraoral radiographs were the predominant imaging modalities. Performance metrics were reported across wide ranges (sensitivity 0.23-1.00; accuracy 0.506-1.00; specificity 0.41-0.99; F1 score 0.15-0.99; AUC 0.75-0.99), and in some studies, these metrics were only partially reported. Conclusions: Fractal analysis and artificial intelligence approaches offer objective and reproducible assessment of periodontal bone loss; however, methodological and reporting heterogeneity limit comparability and generalizability. Standardization of ROI definitions, datasets, study designs, and performance reporting is needed to improve clinical applicability. Future research should also explore hybrid models that combine the quantitative microstructural insights of fractal analysis with the automated detection capabilities of artificial intelligence to enhance diagnostic precision.
The growing demand for secure multimedia transmission, particularly in real-time and resource-limited environments, has emphasized the need for robust audio encryption techniques. This study proposes a novel encryption method using a hyperchaotic four-dimensional system driven by a memristor-based circuit. The hyperchaotic system, verified through Lyapunov exponents and bifurcation analysis, forms the core of a high-entropy pseudo-random number generator (PRNG). The generated sequences pass all subtests in the NIST SP800-22 and FIPS 140-1 statistical suites, confirming their cryptographic suitability. The encryption follows a confusion–diffusion structure: audio samples are first permuted using chaotic indices and then masked using bitwise XOR with PRNG output. The method is tested on real-world audio types—including speech, environmental sounds, and music—and evaluated through waveform, spectrogram, histogram, and statistical metrics. Results demonstrate strong resistance to brute-force and differential attacks. In addition, the use of a memristor-based system introduces a new perspective in audio security by enabling low-power, hardware-oriented, and physically realizable chaotic circuits. This work contributes a lightweight and secure audio encryption framework suitable for embedded and next-generation multimedia applications.
