[Periodontal health survey and analysis of influencing factors in 916 patients with type 2 diabetes].

PURPOSE: To investigate the periodontal health status of type 2 diabetes patients in the Endocrinology Department of Shanghai Sixth People's Hospital, to explore relevant influencing factors of chronic periodontitis, so as to provide epidemiological basis for targeted prevention and treatment of periodontal diseases in patients with type 2 diabetes. METHODS: Periodontal examination and questionnaire survey of patients with type 2 diabetes who visited the Endocrinology Department of Shanghai Sixth People's Hospital from November 2018 to December 2018 were conducted. Criteria in "Basic Methods for Oral Health Survey" recommended by WHO was referred to check and score the relevant periodontal indicators, including probing depth, bleeding on probing, attachment loss, calculus index, plaque index, etc. Sociodemographic information, diabetes history, periodontal health-related behaviors, and other information were collected through questionnaires. SPSS 22.0 software package was used for statistical analysis. RESULTS: Of the 916 patients with type 2 diabetes who participated in the survey, 670 patients with periodontitis were detected. The overall prevalence of periodontitis was 73.14%, and the number of missing teeth per capita was 4.85. The age of diabetic patients, the duration of diabetes, and the presence or absence of complications were risk factors for periodontitis. As the patients grew, the duration of the disease increased, and diabetes-related complications appeared, the prevalence of periodontitis in patients with diabetes increased significantly (P＜0.05). CONCLUSIONS: Periodontal health of patients with type 2 diabetes in the surveyed region is not optimistic. Early prevention and treatment of periodontitis is extremely important. It is necessary to pay attention to the periodontal health status of elderly patients with long-term disease and diabetes, and to carry out targeted oral prevention and health care work for this population.

Enhanced antibacterial properties of biocompatible titanium via electrochemically deposited Ag/TiO2 nanotubes and chitosan-gelatin-Ag-ZnO complex coating.

A novel double-layered antibacterial coating was fabricated on pure titanium (Ti) via a simple three-step electrodeposition process. Scanning electronic microscopy (SEM) images show that the coating was constructed with the inner layer of TiO2 nanotubes doped with silver nanoparticles (TNTs/Ag) and the outer layer of chitosan-gelatin mixture with zinc oxide and silver nanoparticles (CS-Gel-Ag-ZnO). In comparison, we also investigated the composition, structure and antibacterial properties of pure Ti coated with TNTs, TNTs/Ag or TNTs/Ag + CS-Gel-Ag-ZnO, respectively. The TNTs was about 100 nm wide and 240 nm to 370 nm tall, and most Ag nanoparticles (Ag NPs) with diameter smaller than 20 nm were successfully deposited inside the tubes. The CS-Gel-Ag-ZnO layer was continuous and uniform. Antibacterial activity against planktonic and adherent bacteria were both investigated. Agar diffusion test against Staphylococcus aureus (S. aureus) shows improved antibacterial capacity of the TNTs/Ag + CS-Gel-Ag-ZnO coating, with a clear zone of inhibition (ZOI) up to 14.5 mm wide. Dead adherent bacteria were found on the surface by SEM. The antibacterial rate against planktonic S. aureus was as high as 99.2% over the 24 h incubation period.

Building texture acquisition and processing based on an unmanned airship low-altitude aerial survey system.

The traditional oblique cameras cannot self-calibrate to complete the three-dimensional (3D) modeling to meet high mapping accuracy requirements. We propose an oblique combined camera system, called a texture camera, aboard an unmanned airship that can simultaneously obtain a single vertical image and four oblique images of an object. The images acquired by this self-calibrating camera system can be used to produce traditional products on a large scale. Additionally, they can be used to accurately determine the orientation elements of each individual camera, which are essential for 3D modeling. With the methods of building texture extraction and color optimization, the processing of 3D building texture can be completed automatically and quickly. Experimental results show that our strategy can meet the precision requirements of an aerial survey topographic map with a scale of 1:500, and that the building facade textures are complete and clear. Using this texture camera system, 3D building models with a high mapping accuracy and realistic textures can be established.