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Treatment of Irritable Bowel Syndrome with a Combination of Curcumin, Green Tea and Selenomethionine Has a Positive Effect on Satisfaction with Bowel Habits 被引量:1
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作者 O. Lior F. Sklerovsy-Benjaminov +2 位作者 I. Lish F. Konokoff T. Naftali 《Journal of Biosciences and Medicines》 2019年第5期170-179,共10页
Background: Irritable bowel syndrome (IBS) is a common disorder impairing patient’s quality of life. Currently, there is no effective treatment for this syndrome. Coltect is a dietary supplement containing curcumin, ... Background: Irritable bowel syndrome (IBS) is a common disorder impairing patient’s quality of life. Currently, there is no effective treatment for this syndrome. Coltect is a dietary supplement containing curcumin, green tea and selenomethionine. Aim: To investigate the effects of Coltect on IBS symptoms. Methods: A randomized, prospective, placebo-controlled, double blinded, crossover study. The study population included patients diagnosed with IBS by Rome criteria. Subjects were randomized to receive either Coltect or placebo for 4 weeks, and then received the opposite treatment for 4 weeks following a washout period of 2 weeks. The placebo was a pill, identical in color and size to the Coltect pill, with no active ingredients. Patients completed IBS health-related quality of life, severity score and IBS symptom questionnaires before and after each treatment period. Results: The study included 22 patients, ages 22 – 77 years. Coltect had a positive effect on patients’ satisfaction with their bowel habits (as measured on a scale from 0—Very satisfied to 100—Very unsatisfied). Average score was 70.4 ± 33.1 before and 61.8 ± 29.3 after Coltect treatment (p = 0.037). Other parameters, including abdominal pain, bloating, and effects of IBS on daily activity, symptoms, IBS-related quality of life and general health quality of life were unchanged. Conclusion: Coltect seems to have a positive effect on satisfaction with bowel habits. 展开更多
关键词 Irritable BOWEL Syndrome coltect CURCUMIN Selenium Green Tea IBS Health Related Quality of Life QUESTIONNAIRE Severity Score QUESTIONNAIRE IBS Symptom QUESTIONNAIRE BOWEL HABITS
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基于BP神经网络对房价预测的研究 被引量:7
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作者 高文 李富星 牛永洁 《延安大学学报(自然科学版)》 2018年第3期37-40,共4页
搜集西安市1997年~2016年20年七个对房价影响的数据,首先对数据进行预处理,包括数据集成、空白值填写、数据标准化,然后,使用PCA方法对数据进行降维处理,在干净数据的基础上,采用对数函数logsig为激励函数,学习率为0. 3,建立BP神经网络... 搜集西安市1997年~2016年20年七个对房价影响的数据,首先对数据进行预处理,包括数据集成、空白值填写、数据标准化,然后,使用PCA方法对数据进行降维处理,在干净数据的基础上,采用对数函数logsig为激励函数,学习率为0. 3,建立BP神经网络的房价预测模型,选择80%的数据作为训练数据,20%的数据作为测试数据。通过MATLAB对数据进行仿真实验,其实验结果表明用该模型仿真的结果其正确率较高,最高达到94. 14%,效果较好,具有一定的实用价值。 展开更多
关键词 BP神经网络 房价预测 正确率 降维
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