Administration of Antibiotics for Root Canal Treatment - A Questionnaire Based Survey Amongst Dentists.

Aim: This study aims to assess the use of antibiotics among dentists in performing endodontic procedures.

Methodology: A cross-sectional survey was conducted using a pretested, structured, and validated questionnaire approved by the institutional ethics committee. It included questions on demographics, choice, frequency, and duration of antibiotics use in endodontic practice.

Anti-Candidal Action of Epigallocatechin Gallate as Intracanal Medicament-A Microbiological and Dentin Model Study.

Aim: To evaluate the antifungal activity of Triple Antibiotic Paste (TAP) with Epigallocatechin Gallate (EGCG) against .

Materials And Methods: Disk diffusion test: Thirty Kirby-Bauer disks were soaked in: Group 1-TAP (ciprofloxacin, minocycline, and metronidazole in saline); Group 2-TAP + EGCG + saline; Group 3-EGCG + saline; Group 4-Fluconazole. Disks were dried, placed in a suspension, and incubated at 37°C for 24 hours.

Molecular conformational effects on the overall rate constant and the branching ratios of the -heptane + OH reaction: an and variational transition state theory study.

The oxidation of fuels by hydroxyl radical (OH) is a crucial initiation step in both combustion and atmospheric processes. In the present work, we explore the site-specific hydrogen atom abstraction reactions by OH from -heptane through high level and sophisticated kinetic calculations. Rate constants for each of the four distinct abstraction sites were computed, for the first time, over a wide temperature range (200-3000 K) and using multistructural torsional variational transition state theory (MS-T-VTST) with small curvature tunneling (SCT) corrections.

Dynamic optimizers for complex industrial systems via direct data-driven synthesis.

The chemical process industry (CPI) faces significant challenges in improving sustainability and efficiency while maintaining conservative principles for managing cost, complexity, and uncertainty. This work introduces a data-driven approach to dynamic real-time optimization (D-RTO) that addresses the aforementioned concerns by directly extracting process optimization policies from historical plant data. Our method constructs a value function to evaluate trajectory quality and employs weighted regression to derive improved policies.

Intercellular bridges are essential for transposon repression and meiosis in the male germline.

Germ cell connectivity via intercellular bridges is a widely conserved feature across metazoans. However, its functional significance is poorly understood. Intercellular bridges are essential for fertility in male mice as genetic ablation of a critical bridge component, TEX14, causes spermatogenic failure, but the underlying reasons are unknown.