Background: Phytotherapy is the usage of herbal species with medicinal properties for the management of various diseases. Gingivitis and periodontitis are diseases that involve the role of both the bacteria and the host immune response. Over the years, various researches have shown the importance of herbal products in the management of periodontal diseases. Aims of the study: To evaluate the efficacy of locally applied Salvia officinalis gel as adjunctive in the treatment of chronic periodontitis. Subjects and methods: Fourteen patients (10 males and 4 females) with chronic periodontitis were enrolled in the present study with total number of twenty-eight periodontal pockets utilizing a split mouth design, the pockets were divided into two groups, the test group which was treated with scaling and root planning procedure and the application of the S. officinalis gel, and the control group that treated with scaling and root planning only. Plaque index (PI) and gingival index (GI) were recorded for each site. Gingival crevicular fluid (GCF) was collected from each site by using PerioCol paper strips. The concentration of the transforming growth factor beta-1 in the gingival crevicular fluid was quantified by a high sensitivity enzyme-linked immunosorbent assay. Results: The test group demonstrated a significant reduction in GI at 1-week and 1-month after the treatment comparing to baseline (1.14 vs. 1.64, p = 0.003, and 1.21 vs. 1.64, p = 0.028, respectively), while no significant reduction in the PI at recall visits comparing to baseline. The control group demonstrated no significant reduction in PI and GI at recall visits, comparing to baseline. Both the test and control groups demonstrated no significant reduction in the transforming growth factor-beta 1 concentration in the gingival crevicular fluid at one week after the treatment comparing to baseline, while at one month after the treatment only the test group demonstrated a significant reduction comparing to baseline (3.91 vs. 9.62, p = 0.044). Conclusion: The findings of the present study indicated that the S. officinalis gel has a potential anti-inflammatory role in the treatment of chronic periodontitis by monitoring both the clinical and immunological parameters.
Metasurface polarizers are essential optical components in modern integrated optics and play a vital role in many optical applications including Quantum Key Distribution systems in quantum cryptography. However, inverse design of metasurface polarizers with high efficiency depends on the proper prediction of structural dimensions based on required optical response. Deep learning neural networks can efficiently help in the inverse design process, minimizing both time and simulation resources requirements, while better results can be achieved compared to traditional optimization methods. Hereby, utilizing the COMSOL Multiphysics Surrogate model and deep neural networks to design a metasurface grating structure with high extinction rat
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The current study presents the simulative study and evaluation of MANET mobility models over UDP traffic pattern to determine the effects of this traffic pattern on mobility models in MANET which is implemented in NS-2.35 according to various performance metri (Throughput, AED (Average End-2-end Delay), drop packets, NRL (Normalize Routing Load) and PDF (Packet Delivery Fraction)) with various parameters such as different velocities, different environment areas, different number of nodes, different traffic rates, different traffic sources, different pause times and different simulation times . A routing protocol.…was exploited AODV(Adhoc On demand Distance Vector) and RWP (Random Waypoint), GMM (Gauss Markov Model), RPGM (Refere
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The university course timetable problem (UCTP) is typically a combinatorial optimization problem. Manually achieving a useful timetable requires many days of effort, and the results are still unsatisfactory. unsatisfactory. Various states of art methods (heuristic, meta-heuristic) are used to satisfactorily solve UCTP. However, these approaches typically represent the instance-specific solutions. The hyper-heuristic framework adequately addresses this complex problem. This research proposed Particle Swarm Optimizer-based Hyper Heuristic (HH PSO) to solve UCTP efficiently. PSO is used as a higher-level method that selects low-level heuristics (LLH) sequence which further generates an optimal solution. The proposed a
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We demonstrate that the selective hydrogenation of acetylene depends on energy profile of the partial and full hydrogenation routes and the thermodynamic stability of adsorbed C2H2 in comparison to C2H4.
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