As big data becomes an apparent challenge to handle when building a business intelligence(BI)system,there is a motivation to handle this challenging issue in higher education institutions(HEIs).Monitoring quality in H...As big data becomes an apparent challenge to handle when building a business intelligence(BI)system,there is a motivation to handle this challenging issue in higher education institutions(HEIs).Monitoring quality in HEIs encompasses handling huge amounts of data coming from different sources.This paper reviews big data and analyses the cases from the literature regarding quality assurance(QA)in HEIs.It also outlines a framework that can address the big data challenge in HEIs to handle QA monitoring using BI dashboards and a prototype dashboard is presented in this paper.The dashboard was developed using a utilisation tool to monitor QA in HEIs to provide visual representations of big data.The prototype dashboard enables stakeholders to monitor compliance with QA standards while addressing the big data challenge associated with the substantial volume of data managed by HEIs’QA systems.This paper also outlines how the developed system integrates big data from social media into the monitoring dashboard.展开更多
BACKGROUND Cold-dampness-type knee osteoarthritis is a common middle-aged and elderly disease,but its pathogenesis is not fully understood,and its clinical treatment has limitations.Glucosamine sulfate capsules are co...BACKGROUND Cold-dampness-type knee osteoarthritis is a common middle-aged and elderly disease,but its pathogenesis is not fully understood,and its clinical treatment has limitations.Glucosamine sulfate capsules are commonly used for treating arthritis,and San Bi Tang is a classic formula of traditional Chinese medicine(TCM)that has the effects of warming yang,dispelling dampness,relaxing muscles,and activating collaterals.This research hypothesized that the combination of modified San Bi Tang and glucosamine sulfate capsules could enhance the clinical efficacy of treating cold-dampness-type knee osteoarthritis through complementary effects.AIM To analyze the clinical efficacy of San Bi Tang combined with glucosamine sulfate capsules when treating cold-dampness-type knee osteoarthritis.METHODS A total of 110 patients with cold-dampness-type knee osteoarthritis were selected as research subjects and randomly divided into a control group and an experimental group of 55 cases each.The control group received only treatment with glucosamine sulfate capsules,while the experimental group received additional treatment with modified San Bi Tang for a duration of 5 wk.The patients’knee joint functions,liver and kidney function indicators,adverse reactions,and vital signs were evaluated and analyzed using SPSS 26.0 software.RESULTS Before treatment,the two groups’genders,ages,and scores were not significantly different,indicating comparability.Both groups’scores improved after treatment,which could indicate pain and knee joint function improvement,but the test group had better scores.The TCM-specific symptoms and the clinical efficacy of the treatment in the test group were higher.Before and after treatment,there were no abnormalities in the patients’liver and kidney function indicators.CONCLUSION The combination of modified San Bi Tang and glucosamine sulfate capsules is superior to treatment with sulfated glucosamine alone and has high safety.展开更多
针对火电机组SO_(2)排放质量浓度的影响因素众多,难以准确预测的问题,提出一种改进向量加权平均(weighted mean of vectors,INFO)算法与双向长短期记忆(bi-directional long short term memory,Bi-LSTM)神经网络相结合的预测模型(改进IN...针对火电机组SO_(2)排放质量浓度的影响因素众多,难以准确预测的问题,提出一种改进向量加权平均(weighted mean of vectors,INFO)算法与双向长短期记忆(bi-directional long short term memory,Bi-LSTM)神经网络相结合的预测模型(改进INFO-Bi-LSTM模型)。采用Circle混沌映射和反向学习产生高质量初始化种群,引入自适应t分布提升INFO算法跳出局部最优解和全局搜索的能力。选取改进INFO-Bi-LSTM模型和多种预测模型对炉内外联合脱硫过程中4种典型工况下的SO_(2)排放质量浓度进行预测,将预测结果进行验证对比。结果表明:改进INFO算法的寻优能力得到提升,并且改进INFO-Bi-LSTM模型精度更高,更加适用于SO_(2)排放质量浓度的预测,可为变工况下的脱硫控制提供控制理论支撑。展开更多
文摘As big data becomes an apparent challenge to handle when building a business intelligence(BI)system,there is a motivation to handle this challenging issue in higher education institutions(HEIs).Monitoring quality in HEIs encompasses handling huge amounts of data coming from different sources.This paper reviews big data and analyses the cases from the literature regarding quality assurance(QA)in HEIs.It also outlines a framework that can address the big data challenge in HEIs to handle QA monitoring using BI dashboards and a prototype dashboard is presented in this paper.The dashboard was developed using a utilisation tool to monitor QA in HEIs to provide visual representations of big data.The prototype dashboard enables stakeholders to monitor compliance with QA standards while addressing the big data challenge associated with the substantial volume of data managed by HEIs’QA systems.This paper also outlines how the developed system integrates big data from social media into the monitoring dashboard.
文摘BACKGROUND Cold-dampness-type knee osteoarthritis is a common middle-aged and elderly disease,but its pathogenesis is not fully understood,and its clinical treatment has limitations.Glucosamine sulfate capsules are commonly used for treating arthritis,and San Bi Tang is a classic formula of traditional Chinese medicine(TCM)that has the effects of warming yang,dispelling dampness,relaxing muscles,and activating collaterals.This research hypothesized that the combination of modified San Bi Tang and glucosamine sulfate capsules could enhance the clinical efficacy of treating cold-dampness-type knee osteoarthritis through complementary effects.AIM To analyze the clinical efficacy of San Bi Tang combined with glucosamine sulfate capsules when treating cold-dampness-type knee osteoarthritis.METHODS A total of 110 patients with cold-dampness-type knee osteoarthritis were selected as research subjects and randomly divided into a control group and an experimental group of 55 cases each.The control group received only treatment with glucosamine sulfate capsules,while the experimental group received additional treatment with modified San Bi Tang for a duration of 5 wk.The patients’knee joint functions,liver and kidney function indicators,adverse reactions,and vital signs were evaluated and analyzed using SPSS 26.0 software.RESULTS Before treatment,the two groups’genders,ages,and scores were not significantly different,indicating comparability.Both groups’scores improved after treatment,which could indicate pain and knee joint function improvement,but the test group had better scores.The TCM-specific symptoms and the clinical efficacy of the treatment in the test group were higher.Before and after treatment,there were no abnormalities in the patients’liver and kidney function indicators.CONCLUSION The combination of modified San Bi Tang and glucosamine sulfate capsules is superior to treatment with sulfated glucosamine alone and has high safety.
文摘针对火电机组SO_(2)排放质量浓度的影响因素众多,难以准确预测的问题,提出一种改进向量加权平均(weighted mean of vectors,INFO)算法与双向长短期记忆(bi-directional long short term memory,Bi-LSTM)神经网络相结合的预测模型(改进INFO-Bi-LSTM模型)。采用Circle混沌映射和反向学习产生高质量初始化种群,引入自适应t分布提升INFO算法跳出局部最优解和全局搜索的能力。选取改进INFO-Bi-LSTM模型和多种预测模型对炉内外联合脱硫过程中4种典型工况下的SO_(2)排放质量浓度进行预测,将预测结果进行验证对比。结果表明:改进INFO算法的寻优能力得到提升,并且改进INFO-Bi-LSTM模型精度更高,更加适用于SO_(2)排放质量浓度的预测,可为变工况下的脱硫控制提供控制理论支撑。
