Lauridsenbergmann7528

The reset of emission levels after annual flood means that the rice straw is decomposed without methanogenesis in water with dissolved oxygen. Thus, the annual emission pattern shows that decomposing rice straw in paddy surface-water is an effective method to reduce methane emissions. Copyright © 2020 Oda M and Nguyen HC.Different ways of description can easily influence people's evaluations and behaviors. A previous study by Bryan and colleagues suggested that subtle linguistic differences in ethical reminders can differentially prevent readers' unethical behavior. The present study aims to replicate the previous finding in the Japanese context, additionally exploring the influence of unfamiliar instruction words that capture participants' attention. In two experiments, which are planned to be conducted online, participants are asked to make 10 coin-tosses and report the number of "heads" results, indicating the amount of money that they can earn. We will manipulate instructions ("Don't cheat" vs. "Don't be a cheater" vs. baseline as a control) for each participant group, including nearly 270 participants (Experiment 1). Next, we will conduct an extended experiment with an additional task in which more attention is directed toward the text (Experiment 2). Through these registered experiments, we examine the credibility of the previous finding that type of instruction affects the occurrence of unethical behaviors. Copyright © 2020 Guo W et al.Background Kelabau ( Osteochilus spp.) is a freshwater fish commonly found in the rivers of Riau, Indonesia. Researchers believe that these are Osteochilus kelabau; however, accurate taxonomic determination of these fish in Riau waters has not been made. The purpose of this study was to facilitate the identification of the kelabau based on its morphology and genetics using biometric and cytochrome c oxidase subunit 1 ( CO1) analyses, respectively. Methods Fish samples were collected from the Siak, Kampar and Rokan rivers in Riau Province, Indonesia. The DNA of 90 fish was extracted from the caudal fins using a DNA extraction kit, after which it was amplified using primers Fish-F1 and Fish-R1. Sequencing was conducted by Applied Biosystems Macrogen Korea, and the DNA sequences were then edited and aligned using MEGA v. 7. All samples were BLAST-searched for identification using the National Center for Biotechnology Information and BOLD System. Phylogenetic trees were constructed, and the similarity index was calculated using accession numbers AP011385.1 and KC631202.1 in GenBank. Results Analysis of the consensus barcode sequence for 86 species revealed a high percentage of barcode matches (96%-97% in GenBank and 96.6%-96.76% in the BOLD System). The nucleotide distance between groups of kelabau from the different rivers based on the Kimura 2-parameter model gave the following results 0.05% between groups from the Siak and Kampar rivers, 0.09% between those from the Siak and Rokan rivers and 0.05% between those from the Kampar and Rokan rivers. The nucleotide distance between the groups in the Siak (0.09%), Kampar (0.00%) and Rokan (0.10%) Rivers indicated that the kelabau in those rivers were related to each other. Conclusions Based on the results of the research data using CO1 and biometric analyses, the kelabau were confirmed to be O. melanopleurus. Copyright © 2020 Asiah N et al.In recent years, the technological innovation and progress of endoscopic equipment have been remarkable, and various endoscopic observation techniques have been developed. Among them, representative techniques are magnified observation and narrow-band imaging. Magnifying endoscopy with narrow-band imaging (M-NBI) can visualize superficial microanatomies in the stomach. The normal morphology of the microanatomy visualized using M-NBI differs according to the part of the stomach. The vessel plus surface (VS) classification system has been developed as a diagnostic criterion for early gastric cancer using M-NBI, and its usefulness has been proven. Based on the VS classification system, a magnifying endoscopy simple diagnostic algorithm for early gastric cancer (MESDA-G), a simplified algorithm used for early gastric cancer diagnosis, was created. We aimed to describe the anatomic structure of the stomach that can be viewed using M-NBI and outline the principles and clinical application of the VS classification system and MESDA-G.Primary immunodeficiency diseases (PID) area heterogeneous group of disorders caused by genetic defects of the immune system, which manifest clinically as recurrent infections, autoimmune diseases or malignancies. Early detection of PID remains a challenge, particularly in older children with milder and less specific symptoms. This study aimed to assess TREC and KREC diagnostic ability in PID. Data from children assessed by clinical immunologists at Speransky Children's Hospital, Moscow, Russia with suspected immunodeficiencies were analyzed between May 2013 and August 2016. Peripheral blood samples were sent for TREC/KREC, flow cytometry (CD3, CD4, CD8 and CD19), IgA and IgG analysis. A total of 434 children [189 healthy, 97 with group I and II PID (combined T and B cell immunodeficiencies & well-defined syndromes with immunodeficiency) and 148 group III PID (predominantly antibody deficiencies)] were included. Area under the curve (AUC) for TREC in PID groups I and II diagnosis reached 0.82 (CI = 0.75-0.90), with best model providing sensitivity of 65% and specificity of 92%. read more Neither TREC, nor KREC had added value in PID group III diagnosis. In this study, the predictive value of TREC and KREC in PID diagnosis was examined. We found that the TREC had some diagnostic utility for groups I and II PID. Possibly, addition of TREC measurements to existing clinical diagnostic algorithms may improve their predictive value. Further investigations on a larger cohort are needed to evaluate TREC/KREC abilities to be used as diagnostic tools on a wider scale. Copyright © 2020 Korsunskiy, Blyuss, Gordukova, Davydova, Zaikin, Zinovieva, Zimin, Molchanov, Salpagarova, Eremeeva, Filipenko, Prodeus, Korsunskiy, Hsu and Munblit.