Publications by authors named "Yang Zhongpeng"

Background: Tuberculosis (TB), primarily caused by Mycobacterium tuberculosis, remains a significant global health concern. Targeted Next-Generation Sequencing (tNGS) has emerged as a rapid and comprehensive diagnostic tool for tuberculosis, offering advantages over traditional methods and serving as an effective alternative for drug susceptibility testing and the detection of drug-resistant tuberculosis.

Objective: This study aimed to retrospectively analyze the clinical characteristics of pulmonary tuberculosis patients.

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  • This study investigated changes in the masseter muscle of patients with skeletal Class III malocclusion after surgical-orthodontic treatment using automatic segmentation techniques.
  • Researchers analyzed images from 120 patients before treatment (T0), before surgery (T1), and 6-12 months after surgery (T2), focusing on muscle volume and various measurements for symmetrical and asymmetrical groups.
  • Results showed that patients in the asymmetrical group had lower muscle volume and length on the affected side, and overall, muscle recovery post-surgery was insufficient, suggesting a need for further myofunctional training and longer follow-ups for better understanding.
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  • This study compares the postsurgical stability of conventional (CSA) and surgery-first (SFA) approaches in skeletal Class III extraction patients, focusing on prognostic factors.
  • Patients were divided into two groups (20 in SFA and 19 in CSA) and underwent specific osteotomies, with 3D imaging used to analyze changes over time.
  • Results showed that SFA had greater postsurgical relapse than CSA, particularly in the first 3 months, with certain measurements identified as key predictors for early mandibular relapse.
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Segmentation of the masseter muscle (MM) on cone-beam computed tomography (CBCT) is challenging due to the lack of sufficient soft-tissue contrast. Moreover, manual segmentation is laborious and time-consuming. The purpose of this study was to propose a deep learning-based automatic approach to accurately segment the MM from CBCT under the refinement of high-quality paired computed tomography (CT).

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Background: Studies focusing on accuracy of intraoral digital models in the palatal region are scarce. The present study aimed to investigate the influence of different scanning sequences on palatal trueness and to assess deviation and distribution character of trueness in palate.

Methods: Overall, 35 participants accepted three types of procedures to acquire upper digital models.

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Objective: To assess the association between maternal active cigarette smoking and the risk of oral clefts in the offspring.

Study Design: Oral clefts are divided into three subgroups: total clefts, cleft lip with or without cleft palate (CL ± P), and cleft palate only (CP). Data from studies on different levels of smoking were gathered to examine the dose-response effect.

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Intracanal antisepsis acts as one of the fundamental steps in root canal therapy. Intracanal medication is very common among the multitudinous root canal disinfection methods so far. However, as the most frequently-used intracanal medication, calcium hydroxide exists some problems, such as insufficient antimicrobial power and antibiogram.

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Tian and Styan have shown many rank equalities for the sum of two and three idempotent matrices and pointed out that rank equalities for the sum P₁ + ⋯+P k with P₁,…, P k be idempotent (k > 3) are still open. In this paper, by using block Gaussian elimination, we obtained rank equalities for the sum of finitely many idempotent matrices and then solved the open problem mentioned above. Extensions to scalar-potent matrices and some related matrices are also included.

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