Although the patient has provided consent for publication of this case report and accompanying images, after publication of this article it has come to the authors' attention that Fig. 1 needs changes to better protect the privacy of the patient. A modified Fig. 1 is included in this Erratum. The original Fig. 1 has been removed to protect the patient's privacy.
  Few epidemiological studies of pediatric central nervous system (CNS) tumors have been performed using data from Southeast Asian national registries. Therefore, we aimed to examine data on CNS tumors from the first national childhood CNS tumor registry in Thailand.
 
  Newly diagnosed children with benign and malignant primary CNS tumors from 20 nationwide hospitals were included. Two eras in the Thai registry were studied to compare national protocol effectiveness, including 2003-2005 (before establishment of a pediatric CNS tumor protocol) and 2011-2012 (post-establishment).
 
  The first study period had 300 patients with an incidence of 7.5/1,000,000 person-years and the second had 168 patients with an incidence of 13.24/1,000,000 person-years. The three most common tumors were gliomas, medulloblastoma/primitive neuroectodermal tumor (PNET), and germ cell tumors. The most common tumor site was the cerebellum, followed by the brainstem and pineal region. Five- and 10-year overall survival (OS) rates were 46.62% (95% confidence interval [CI] 40.85-52.18) and 41.78% (95% CI 36.11-47.34), respectively, for the first period. The second period had a 5-year OS of 64.75% (95% CI 56.70-71.68). OS rates for gliomas, germ cell tumors, medulloblastoma/PNET, and ependymomas were better in the second period than in the first period.
 
  The incidence of primary childhood CNS tumors in our study is lower compared with other reports. Improvement of OS in the second study period might be because of establishment of the Thai Pediatric Oncology Group, and national protocols for childhood CNS tumors.
 The incidence of primary childhood CNS tumors in our study is lower compared with other reports.  https://www.selleckchem.com/products/azd3229.html  Improvement of OS in the second study period might be because of establishment of the Thai Pediatric Oncology Group, and national protocols for childhood CNS tumors.The soil organic carbon (SOC) mineralization rate in sandy soil plays an important role in improving soil quality, and a research is needed to determine management practices that optimize the mineralization rate. When sandy soil is improved by adding soft rock, the specific promotion process of bacterium to SOC mineralization remain unclear. To investigate these mechanisms, we selected four treatments with soft rock to sand volume ratios of 01 (CK), 15 (C1), 12 (C2) and 11 (C3) to study. The mineralization rate of organic carbon was measured using the lye absorption method. High-throughput sequencing and scanning electron microscopy were used to determine the bacterial community structure and soil microstructure, respectively. The results showed that the organic carbon content of the sandy soil increased significantly (182.22-276.43%) after using the soft rock treatments. The SOC mineralization rate could be divided into two stages a rapid decline during days 1-8 and a slow decline during days 8-60. With incrirmicutes, was large, and the bacteria had a significant positive correlation with k. At the same time, the abundance of Firmicutes under treatments C2 and C3 was small. As the proportion of soft rock increased, the soil particles changed from point contact to surface contact, and the adhesion on the surface of the particles gradually increased. Results from this study show that the retention time of SOC can be increased and the carbon sequestration effect is better when the ratio of soft rock to sand is set to 12.Microbial communities greatly affect rearing water quality and the larvae health during shrimp hatchery periods. In this study, we investigated the microbial communities of rearing water and larvae of Litopenaeus vannamei after treating hatchery water with different kinds of chemical disinfectants no disinfectants (Con), chlorine dioxide (ClO2), formaldehyde solution (HCHO), bleach powder (CaClO), and iodine (I2). The water and larval samples were collected from nauplius 6 (N6), zoea 1 (Z1), mysis 1 (M1), and postlarvae 1 (P1) shrimp growth periods. 16S rDNA high-throughput sequencing revealed that the bacterial composition of the rearing water was more complex than that of the larvae, and the bacterial community of the rearing water and the larvae fluctuated significantly at the P1 and Z1 periods, respectively. Disinfectants altered the bacterial diversity and composition of the rearing water and larvae. Specifically, in the rearing water of the P1 period, Proteobacteria abundance was increased in the HCHO group; while Bacteroidetes abundance was decreased in the ClO2, HCHO, and I2 groups but increased in the CaClO group. In the larvae of the Z1 period, Firmicutes (especially Bacillus class) abundance was increased in the CaClO group, but decreased in the ClO2, HCHO, and I2 groups. Network analyses revealed that the genera Donghicola, Roseibacterium, Candidatus-Cquiluna, and Nautella were enriched in the rearing water, while Halomonas, Vibrio, and Flavirhabdus had high abundance in the larvae. The survival of shrimp was influenced by disinfectants that were inconsistent with the bacterial community changes. These results will be helpful for using microbial characteristics to facilitate healthy shrimp nursery.Two aerobic, Gram-stain-positive, non-motile, non-sporulating coccoid strains, designated ZLJ0423T and ZLJ0321, were isolated from the faeces of Tibetan antelope (Pantholops hodgsonii). Their optimal temperature, NaCl concentration and pH for growth were 28°C, 0.5% (w/v) NaCl and pH 7.5, respectively. Phylogenetic analysis based on 16S rRNA gene sequences revealed that strains ZLJ0423T and ZLJ0321 were very similar to each other (99.8%) and had a sequence similarity of 97.0% with Georgenia satyanarayanai NBRC 107612T and Georgenia subflava CGMCC 1.12782T. Phylogenomic analysis based on 688 core genes indicated that these strains formed a clade with G. satyanarayanai NBRC 107612T and Georgenia wutianyii Z294. The predominant cellular fatty acids were anteiso-C150, anteiso-C151A and C160. The major menaquinone was MK-8(H4). The cell-wall amino acids consisted of alanine, lysine, glycine and aspartic acid, with lysine as the diagnostic diamino acid. Diphosphatidylglycerol, phosphatidylglycerol, phosphatidylinositol, phosphatidylinositol mannosides and two unidentified lipids formed the polar lipid profile.