Endoscopic cyanoacrylate injection therapy for refractory high-risk peptic ulcer bleeding by conventional endoscopic therapy.

OBJECTIVE: To evaluate the efficacy and safety of endoscopic cyanoacrylate injection therapy for refractory high-risk peptic ulcer bleeding by conventional endoscopic therapy. METHODS: 154 patients with refractory high-risk peptic ulcer bleeding by conventional endoscopic therapy at the Affiliated Hospital of Zunyi Medical Univesity and the People's Hospital of Liupanshui City from January 2018 to December 2021were enrolled in this study. Endoscopic intracellular cyanoacrylate injection was first carried out. When failure, perintravascullar injection was carried out. The data were retrospectively collected. RESULTS: Among the 154 patients, 102 patients (66.23%) obtained successful intravascular injection and perivascular injection was performed in 52 patients (33.77%). Immediate hemostatic rate for active bleeding achieved 93.18%. Overall rebleeding rate within 30 days was 12.99% and successful hemostasis rate achieved 87.01%. Immediate hemostatic rate and successful hemostasis rate in intravascular injection patients were markedly superior over perivascular injection. Rebleeding rate in intravascular injection patients was markedly lower than that in perivascular injection patients. 14 patients complicated abdominal pain and no other complication occurred. CONCLUSION: Endoscopic cyanoacrylate injection therapy, especial intravascular injection, was effective and safe, with high successful hemostasis rate for refractory high-risk peptic ulcer bleeding by conventional endoscopic therapy.

Mesoporous WS2-Decorated Cellulose Nanofiber-Templated CuO Heterostructures for High-Performance Chemiresistive Hydrogen Sulfide Sensors.

There is a great demand to develop high-performance hydrogen sulfide (H2S) sensors, especially at the trace level for environmental protection, human healthcare, and food freshness monitoring. To this end, cellulose nanofiber (CNF)-templated CuO (CuO-C) was decorated with tungsten disulfide (WS2) nanosheets (W-Cu-C) as the sensing layer of chemiresistive microelectromechanical system (MEMS) sensors for H2S recognition in this work. As compared to pristine CuO counterparts at 160.5 °C, the as-prepared W-Cu-C-10 sensors delivered a 30-fold enhanced response of 37 toward 0.5 ppm H2S at a lower optimal operation temperature of 100.1 °C. Moreover, a fast response/recovery speed of 37.2/33.9 s toward 0.5 ppm H2S and excellent long-term stability and selectivity were achieved. Compared with existing research and commercial products, the W-CU-C-10 sensors exhibited the remarkable superiorities of high sensitivity, the lowest detection limit of 200 ppb, and ultralow power consumption (8 mW). Also, the sensor showcased a nice on-site application potential for evaluating eggs' freshness. The proposed W-Cu-C-10 sensors probably pave a new avenue for designing high-sensitivity and energy-efficient future H2S sensors, especially in the fields of portable and wearable detection systems as well as Internet of Things.

Oral microbial community typing of caries and pigment in primary dentition.

BACKGROUND: Black extrinsic discoloration in primary dentition is a common clinical and aesthetic problem that can co-occur with dental caries, the most common oral diseases in childhood. Although the role of bacteria in the formation of pigment and caries in primary dentition is important, their basic features still remain a further mystery. METHODS: Using targeted sequencing of the V1-V3 hypervariable regions of bacterial 16S ribosomal RNA (rRNA) genes, we obtained a dataset consisting of 831,381 sequences from 111 saliva samples and 110 supragingival plaque samples from 40 patients with pigment (black extrinsic stain), 20 with caries (obvious decay), and 25 with both pigment and caries and from 26 healthy individuals. We applied a Dirichlet multinomial mixture (DMM)-based community typing approach to investigate oral microbial community types. RESULTS: Our results revealed significant structural segregation of microbial communities, as indicated by the identification of two plaque community types (A and B) and three saliva community types (C-E). We found that the independent occurrence of the two plaque community types, A and B, was potentially associated with our oral diseases of interest. For type A, three co-occurring bacterial genus pairs could separately play a potential role in the formation of pigment (Leptotrichia and Fusobacterium), caries (unclassified Gemellales and Granulicatella), and mixed caries and pigment (Streptococcus and Mogibacterium). For type B, three co-occurring bacterial genera (unclassified Clostridiaceae, Peptostreptococcus, and Clostridium) were related to mixed pigment and caries. Three dominant bacterial genera (Selenomonas, Gemella, and Streptobacillus) were linked to the presence of caries. CONCLUSIONS: Our study demonstrates that plaque-associated oral microbial communities could majorly contribute to the formation of pigment and caries in primary dentition and suggests potential clinical applications of monitoring oral microbiota as an indicator for disease diagnosis and prognosis.

Research on path planning for clear aligner flexible manufacturing.

In recent years, clear aligner can enhance individual appearance with dental defects, so it used more and more widely. However, in manufacturing process, there are still some problems, such as low degree of automation and high equipment cost. The problem of coordinate system mismatch between gingival curve point cloud and dental CAD model is faced to. The PCA-ICP registration algorithm is proposed, which includes coarse match algorithm and improve-ICP registration algorithm. The principal component analysis (PCA) based method can roughly find the posture relationship between the two point clouds. Using z-level dynamic hierarchical, the ICP registration can accurately find the posture between these two clouds. The final registration maximum distance error is 0.03 mm, which is smaller than robot machining error. Secondly, the clear aligner machining process is conducted to verify the registration effectiveness. Before machining, the path is generated based on the well registered gingival curve. After full registration, the tool path is calculated by establishing a local coordinate system between the workpiece and the tool to avoid interference. This path is calculated and generated as an executable program for ABB industrial robots. Finally, the robot was used for flexible cutting of clear aligners and was able to extract products, ensuring the effectiveness of the proposed research. This method can effectively solve the limitations of traditional milling path planning under such complex conditions.

Genome-wide association studies provide insights into the genetic determination of fruit traits of pear.

Pear is a major fruit tree crop distributed worldwide, yet its breeding is a very time-consuming process. To facilitate molecular breeding and gene identification, here we have performed genome-wide association studies (GWAS) on eleven fruit traits. We identify 37 loci associated with eight fruit quality traits and five loci associated with three fruit phenological traits. Scans for selective sweeps indicate that traits including fruit stone cell content, organic acid and sugar contents might have been under continuous selection during breeding improvement. One candidate gene, PbrSTONE, identified in GWAS, has been functionally verified to be involved in the regulation of stone cell formation, one of the most important fruit quality traits in pear. Our study provides insights into the complex fruit related biology and identifies genes controlling important traits in pear through GWAS, which extends the genetic resources and basis for facilitating molecular breeding in perennial trees.