Eriksenjoyce6308

Intraoperative hemorrhage was low for males and females. The mean hospitalization period was 3.2 ± 1.5 days for males and 4.3 ± 2.1 days for females. Differences in several postoperative complications were observed between male and female patients. Postoperative satisfaction was rated high by the patients. Conclusions Risks of hemorrhage and pain associated with the MuRAL method were low because the procedure does not involve incision or excision. Other than ligation and excision, recurrence is favorable compared with that of other surgical modalities for the treatment of hemorrhoids. Copyright © 2020 by The Japan Society of Coloproctology.Integrating artificial intelligence (AI) applications into colonoscopy practice is being accelerated as deep learning technologies emerge. In this field, most of the preceding research has focused on polyp detection and characterization, which can mitigate inherent human errors accompanying colonoscopy procedures. On the other hand, more challenging research areas are currently capturing attention the automated prediction of invasive cancers. Colorectal cancers (CRCs) harbor potential lymph node metastasis when they invade deeply into submucosal layers, which should be resected surgically rather than endoscopically. However, pretreatment discrimination of deeply invasive submucosal CRCs is considered difficult, according to previous prospective studies (e.g., less then 70% sensitivity), leading to an increased number of unnecessary surgeries for large adenomas or slightly invasive submucosal CRCs. AI is now expected to overcome this challenging hurdle because it is considered to provide better performance in predicting invasive cancer than non-expert endoscopists. In this review, we introduce five relevant publications in this area. Unfortunately, progress in this research area is in a very preliminary phase, compared to that of automated polyp detection and characterization, because of the lack of number of invasive CRCs used for machine learning. However, this issue will be overcome with more target images and cases. The research field of AI for invasive CRCs is just starting but could be a game changer of patient care in the near future, given rapidly growing technologies, and research will gradually increase. Copyright © 2020 by The Japan Society of Coloproctology.Background Malnutrition has been identified as a factor in growth and learning. The current study aimed to determine the nutritional status and basic learning skills of children from Chocó, Colombia. Methods We conducted a cross-sectional study of 631 children aged 5-11 years from two schools, collecting anthropometric measurements, nutritional quality surveys and sociodemographic data. Neuropsychological batteries were applied. Results A total of 523 children were evaluated, with an average age of 8.49 ± 2.1 years. The results revealed that 2.9% of children were underweight, 0.4% were severely underweight, and 4.8% were diagnosed as having stunted growth. In addition, 71.8% of children were unable to draw a human figure. Beery-Buktenica Visual-Motor Integration test (VMI) performance was below the scores expected for these age groups in 73.9% of children. Battery of Differential and General Abilities (BADYG) performance revealed limited verbal skills. In a subsample of 117 children, anemia was detected in 12.8% of cases, and iron deficiency was present in 44.4% of cases. Global malnutrition was associated with impairments in BADYG performance (OR 1.98; 95% CI 1.07-3.86). Conclusions The current results revealed that learning performance was below the expected level for children in these age groups across all of the applied tests. Although malnutrition could partially explain the poor performance of children in tests of learning abilities, additional factors are likely to be involved. © 2020 The Authors.Pilosocereus gounellei (Cactaceae) is used to treat wounds and inflammation. In this study, we evaluated whether the saline extract from its stem would have genotoxic or anti-genotoxic effects. In the genotoxicity evaluation, mice received the extract (500, 1,000, or 2,000 mg/kg) orally while negative and positive controls were treated with saline solution (0.9% NaCl) per os and cyclophosphamide (CPA, 80 mg/kg i.p.), respectively. In the anti-genotoxicity assay, using other animals, treatments were carried out by administering the extract (500, 1,000 or 2,000 mg/kg) or saline solution (negative control) per os and then CPA (80 mg/kg i.p.) 1 h later. Genotoxic effects were evaluated by micronucleus test and comet assay using peripheral blood and bone marrow cells. Oral administration of only the extract at 500 and 1,000 mg/kg did not result in genotoxicity. A slight increase in the incidence of micronucleus was observed at the highest dose (2,000 mg/kg). Administration of the extract before CPA reduced the micronucleated polychromatic erythrocytes (MNPCE) number by 49.07-71.43%, and DNA fragmentation in peripheral blood (85.04-94.44%) and bone marrow (87.43-92.70%) cells also decreased. In conclusion, when administered orally at the tested doses, the extract is genotoxically safe, being cautious in doses above 1,000 mg/kg, and has a protective effect against CPA-induced DNA damage. © 2020 The Authors.Many researchers have proposed program visualization tools for memory management. Examples include state-of-the-art tools for C languages such as SeeC and Python Tutor (PT). However, three problems hinder the use of these and other tools capability (P1), installability (P2), and usability (P3). (P1) Tools do not fully support dynamic memory allocation or File Input / Output (I/O) and Standard Input. (P2) Novice programmers often have difficulty installing SeeC due to its dependence on Clang and setting up an offline environment that uses PT. (P3) Revisualization of the modified source code in SeeC requires several steps. To alleviate these issues, we propose a new visualization tool called PlayVisualizerC.js (PVC.js). PRT4165 purchase PVC.js, which is designed for novice C language programmers to provide solutions (S1-3) for P1-3. S1 offers complete support for dynamic memory allocation, standard I/O, and file I/O. S2 involves installation in a user web browser. This system is composed of JavaScript programs, including C language execution functions.