Assessment of heavy metal and radioactive element levels in the ovarian follicular fluid of pregnant and non-pregnant Kyrgyz breed mares.

Objective: In the current study, we aimed to ascertain the levels of heavy metals and radioactive elements in the ovarian follicular fluids of pregnant and non-pregnant Kyrgyz mares.

Materials And Methods: To this end, follicular fluids were obtained from 49 Kyrgyz mares aged 3-5 years. The mares were in various stages of pregnancy (Group 1, 27) or were non-pregnant (Group 2, 22).

Clinical Decision-Making of Repair vs. Replacement of Defective Direct Dental Restorations: A Multinational Cross-Sectional Study With Meta-Analysis.

Objectives: This web-based survey, conducted across multiple countries, sought to explore the factors that impact the decision-making of clinicians when it comes to managing defective direct restorations.

Methods: A survey consisting of 14 questions was sent out to dentists in 21 countries through various online platforms. The survey consisted of two sections.

Root canal morphology of mandibular anterior permanent teeth in Turkish sub-population using two classification systems: a cone-beam computed tomography study.

This study examined the root and canal morphology of mandibular anterior teeth (MA) in the Turkish sub-population using cone-beam computed tomography (CBCT), comparing the findings based on Vertucci's and Ahmed et al. classification systems. The CBCT images were acquired using the 3D Accuitomo CBCT device.

Repair versus replacement of defective direct dental restorations: A multinational cross-sectional study with meta-analysis.

Objectives: When dental practitioners encounter a defective restoration, they are faced with a crucial decision whether to repair or replace it. This study aims to explore international preferences for repair procedures and the clinical steps taken during the repair process.

Method: An 11-question survey was distributed to dentists across 21 countries via different platforms.

Comparison of mandibular morphometric parameters in digital panoramic radiography in gender determination using machine learning.

Objective: This study aimed to evaluate the usability of morphometric features obtained from mandibular panoramic radiographs in gender determination using machine learning algorithms.

Materials And Methods: High-resolution radiographs of 200 patients aged 20-77 (41.0 ± 12.