Due to the rapid development of logistic industry, transportation cost is also increasing, and finding trends in transportation activities will impact positively in investment in transportation infrastructure. There i...Due to the rapid development of logistic industry, transportation cost is also increasing, and finding trends in transportation activities will impact positively in investment in transportation infrastructure. There is limited literature and data-driven analysis about trends in transportation mode. This thesis delves into the operational challenges of vehicle performance management within logistics clusters, a critical aspect of efficient supply chain operations. It aims to address the issues faced by logistics organizations in optimizing their vehicle fleets’ performance, essential for seamless logistics operations. The study’s core design involves the development of a predictive logistics model based on regression, focused on forecasting, and evaluating vehicle performance in logistics clusters. It encompasses a comprehensive literature review, research methodology, data sources, variables, feature engineering, and model training and evaluation and F-test analysis was done to identify and verify the relationships between attributes and the target variable. The findings highlight the model’s efficacy, with a low mean squared error (MSE) value of 3.42, indicating its accuracy in predicting performance metrics. The high R-squared (R2) score of 0.921 emphasizes its ability to capture relationships between input characteristics and performance metrics. The model’s training and testing accuracy further attest to its reliability and generalization capabilities. In interpretation, this research underscores the practical significance of the findings. The regression-based model provides a practical solution for the logistics industry, enabling informed decisions regarding resource allocation, maintenance planning, and delivery route optimization. This contributes to enhanced overall logistics performance and customer service. By addressing performance gaps and embracing modern logistics technologies, the study supports the ongoing evolution of vehicle performance management in logistics clusters, fostering increa展开更多
目的:评估SAMe-TT_2R_2评分预测非瓣膜性房颤患者应用华法林抗凝控制质量的能力,探索SAMe-TT_2R_2评分与缺血性卒中和严重出血的关系。方法:对某院2014年1月-2015年6月初次应用华法林治疗的非瓣膜性房颤患者进行为期1年的随访,计算患者S...目的:评估SAMe-TT_2R_2评分预测非瓣膜性房颤患者应用华法林抗凝控制质量的能力,探索SAMe-TT_2R_2评分与缺血性卒中和严重出血的关系。方法:对某院2014年1月-2015年6月初次应用华法林治疗的非瓣膜性房颤患者进行为期1年的随访,计算患者SAMe-TT_2R_2分数及抗凝治疗范围内时间百分比[the percentage time in therapeutic International Normalised Ratio(INR)range,TTR],运用ANOVA检验,ROC曲线分析评估SAMe-TT_2R_2评分对患者TTR的预测能力。记录随访期间缺血性卒中或严重出血事件发生情况以探寻SAMe-TT_2R_2分数与缺血性卒中和严重出血的关系。结果:178例患者平均TTR为57.79%±15.53%,随着SAMe-TT_2R_2分数增加,患者TTR逐渐下降(P=0.001),SAMe-TT_2R_2预测TTR<70%准确性较高(ROC曲线下面积为0.734,P<0.001),最佳临界值为2,敏感度和特异性分别为95%和36%,Youden指数为最高值0.31,提示当SAMe-TT_2R_2>2时患者抗凝控制质量较差(TTR<70%)。随访期间共有7例患者(3.93%/年)发生缺血性卒中,3例患者(1.69%/年)发生严重出血。Kaplan-Meier生存分析提示SAMe-TT_2R_2评分与患者缺血性卒中年发生率无明显相关(Log Rank=1.653,P=0.647)。结论:在应用华法林抗凝的非瓣膜性房颤患者中,SAMe-TT_2R_2评分具有预测TTR的能力,针对抗凝控制质量较差患者,临床药师应为其制定个体化用药方案,改善抗凝质量。展开更多
Some drugs that regulate estrogen are currently used as therapy for endometriosis. However, these medical treatments have significant side effects and patients who hope to become pregnant cannot overcome infertility. ...Some drugs that regulate estrogen are currently used as therapy for endometriosis. However, these medical treatments have significant side effects and patients who hope to become pregnant cannot overcome infertility. To compare morphological alterations and clinical symptoms, revised American Fertility Society (r-AFS) scores were compared between patients with and without leukotriene receptor antagonist (LTR-A) treatment. LTR-A-treated cases showed significantly decreased r-AFS score. Furthermore, a significant correlation was seen between r-AFS score and LTR-A treatment period. In treated cases, clinical symptoms decreased and some patients achieved pregnancy. Morphologically, lesions in LTR-A-treated cases showed apoptotic fibroblasts and degeneration of collagen fibers. Our findings revealed that LTR-As had significant therapeutic value for the treatment of human endometriosis. Anti-LT therapy appears efficacious not only in the treatment of clinical symptoms and lesions, but also in improving fertility.展开更多
文摘Due to the rapid development of logistic industry, transportation cost is also increasing, and finding trends in transportation activities will impact positively in investment in transportation infrastructure. There is limited literature and data-driven analysis about trends in transportation mode. This thesis delves into the operational challenges of vehicle performance management within logistics clusters, a critical aspect of efficient supply chain operations. It aims to address the issues faced by logistics organizations in optimizing their vehicle fleets’ performance, essential for seamless logistics operations. The study’s core design involves the development of a predictive logistics model based on regression, focused on forecasting, and evaluating vehicle performance in logistics clusters. It encompasses a comprehensive literature review, research methodology, data sources, variables, feature engineering, and model training and evaluation and F-test analysis was done to identify and verify the relationships between attributes and the target variable. The findings highlight the model’s efficacy, with a low mean squared error (MSE) value of 3.42, indicating its accuracy in predicting performance metrics. The high R-squared (R2) score of 0.921 emphasizes its ability to capture relationships between input characteristics and performance metrics. The model’s training and testing accuracy further attest to its reliability and generalization capabilities. In interpretation, this research underscores the practical significance of the findings. The regression-based model provides a practical solution for the logistics industry, enabling informed decisions regarding resource allocation, maintenance planning, and delivery route optimization. This contributes to enhanced overall logistics performance and customer service. By addressing performance gaps and embracing modern logistics technologies, the study supports the ongoing evolution of vehicle performance management in logistics clusters, fostering increa
文摘目的:评估SAMe-TT_2R_2评分预测非瓣膜性房颤患者应用华法林抗凝控制质量的能力,探索SAMe-TT_2R_2评分与缺血性卒中和严重出血的关系。方法:对某院2014年1月-2015年6月初次应用华法林治疗的非瓣膜性房颤患者进行为期1年的随访,计算患者SAMe-TT_2R_2分数及抗凝治疗范围内时间百分比[the percentage time in therapeutic International Normalised Ratio(INR)range,TTR],运用ANOVA检验,ROC曲线分析评估SAMe-TT_2R_2评分对患者TTR的预测能力。记录随访期间缺血性卒中或严重出血事件发生情况以探寻SAMe-TT_2R_2分数与缺血性卒中和严重出血的关系。结果:178例患者平均TTR为57.79%±15.53%,随着SAMe-TT_2R_2分数增加,患者TTR逐渐下降(P=0.001),SAMe-TT_2R_2预测TTR<70%准确性较高(ROC曲线下面积为0.734,P<0.001),最佳临界值为2,敏感度和特异性分别为95%和36%,Youden指数为最高值0.31,提示当SAMe-TT_2R_2>2时患者抗凝控制质量较差(TTR<70%)。随访期间共有7例患者(3.93%/年)发生缺血性卒中,3例患者(1.69%/年)发生严重出血。Kaplan-Meier生存分析提示SAMe-TT_2R_2评分与患者缺血性卒中年发生率无明显相关(Log Rank=1.653,P=0.647)。结论:在应用华法林抗凝的非瓣膜性房颤患者中,SAMe-TT_2R_2评分具有预测TTR的能力,针对抗凝控制质量较差患者,临床药师应为其制定个体化用药方案,改善抗凝质量。
文摘Some drugs that regulate estrogen are currently used as therapy for endometriosis. However, these medical treatments have significant side effects and patients who hope to become pregnant cannot overcome infertility. To compare morphological alterations and clinical symptoms, revised American Fertility Society (r-AFS) scores were compared between patients with and without leukotriene receptor antagonist (LTR-A) treatment. LTR-A-treated cases showed significantly decreased r-AFS score. Furthermore, a significant correlation was seen between r-AFS score and LTR-A treatment period. In treated cases, clinical symptoms decreased and some patients achieved pregnancy. Morphologically, lesions in LTR-A-treated cases showed apoptotic fibroblasts and degeneration of collagen fibers. Our findings revealed that LTR-As had significant therapeutic value for the treatment of human endometriosis. Anti-LT therapy appears efficacious not only in the treatment of clinical symptoms and lesions, but also in improving fertility.
