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Clinical Efficacy of Piper betle L. Nanoemulgel as an Adjunct to Scaling and Root Planing in Chronic Periodontitis: A Randomized, Double-Blind, Placebo-Controlled Trial Muhammad Ashraf; Eduardo Michael Perez
Eureka Herba Indonesia Vol. 6 No. 1 (2025): Eureka Herba Indonesia
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/ehi.v6i1.136

Abstract

This study evaluated the clinical efficacy of a Piper betle L. (betel leaf) nanoemulgel as an adjunct to scaling and root planing (SRP) in chronic periodontitis through a randomized, double-blind, placebo-controlled trial. Sixty-four patients with Stage III Grade B periodontitis were randomized to P. betle nanoemulgel (5% w/w ethanolic extract standardized to ≥30 mg/g hydroxychavicol; n = 32) or placebo gel (n = 32), applied subgingivally at baseline, week 2, and week 4 as adjuncts to SRP, at a private hospital in Palembang, Indonesia. The nanoemulgel had a mean droplet size of 78.4 ± 12.6 nm, polydispersity index 0.218, zeta potential −32.6 mV, and encapsulation efficiency 87.3%. Primary outcomes were probing pocket depth (PPD), clinical attachment level (CAL), bleeding on probing (BOP), and gingival index (GI) at 12 weeks. The intervention group showed significantly greater PPD reduction (−2.58 ± 0.68 vs −1.56 ± 0.74 mm; p < 0.001; Cohen d = 1.43), CAL gain (d = 1.23), BOP reduction (d = 1.12), and GI improvement (d = 1.25). Gingival crevicular fluid TNF-α decreased to 18.4 ± 8.2 versus 28.6 ± 10.4 pg/mL (p < 0.001; d = 1.09). Adverse events were limited to mild transient burning in 12.5% of patients. Piper betle nanoemulgel provided significant adjunctive clinical benefit in chronic periodontitis through anti-inflammatory and antimicrobial mechanisms, supporting its integration into evidence-based herbal periodontal therapy.
Neural Network Versus Stepwise Regression for Forensic Stature Estimation from Percutaneous Tibial Dimensions in South Sumatran Malay Adults Sari Sulistyoningsih; Abu Bakar; Eduardo Michael Perez; Ifah Shandy
Sriwijaya Journal of Forensic and Medicolegal Vol. 3 No. 2 (2025): Sriwijaya Journal of Forensic and Medicolegal
Publisher : Phlox Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59345/sjfm.v3i2.248

Abstract

Background. Stature estimation from skeletal elements underpins forensic biological profiling and is decisive in disaster victim identification, yet no validated osteometric standard exists for the South Sumatran Malay population, and stepwise regression assumes a linearity that skeletal growth biology does not obey. Methods. 450 healthy South Sumatran Malay adults (225 male, 225 female) aged 20-50 years were enrolled at CMHC Research Center, Palembang, and reported per STROBE. Five percutaneous right-tibial dimensions were measured by one certified anthropologist under the Martin and Saller convention (all relative technical errors of measurement below 1.5%), and a stratified 70:30 partition withheld 135 observations for testing. Stepwise multiple linear regression (SMLR) was compared against a grid-search-optimised 5-64-32-16-1 multilayer perceptron artificial neural network (MLP-ANN). Results. Sexual dimorphism was large for every dimension (Cohen's d 1.42-1.75; all p < 0.001). Percutaneous tibial length was the strongest single predictor (males r = 0.812, 95% CI 0.762-0.852). The calibration-corrected pooled regression reached R2 = 0.742 with RMSE ±4.82 cm, whereas the network reached R2 = 0.914 (95% CI 0.891-0.933) and RMSE ±2.78 cm — ΔR2 = 0.172 (bootstrap 95% CI 0.141-0.203), a 23.2% gain in explained variance and a 42.3% reduction in error that narrows the 95% forensic identification window from ±9.45 cm to ±5.45 cm. Conclusion. These first population-specific, artificial-intelligence-driven standards materially improve the biological profiling of incomplete human remains in Indonesian medicolegal and disaster victim identification practice.