Semen samples collected from 28 male partners of infertile couples were divided into three equal aliquots and prepared with three selected media,such as PureSperm （Nidacon,Gothenburg,Sweden）,Sil-Select Plus^TM （Fer...Semen samples collected from 28 male partners of infertile couples were divided into three equal aliquots and prepared with three selected media,such as PureSperm （Nidacon,Gothenburg,Sweden）,Sil-Select Plus^TM （Fertipro,Beemem,Belgium） and SpermGrad^TM（Vitrolife,Gothenburg,Sweden）. The differences in mean percentages of semen parameters were assessed by repeated measures analysis. Correlations of sperm DNA damage,as measured by terminal deoxynucleotidyl transferase dUTP nick end labeling （TUNEL） assay,and of protamine deficiency,as measured by chromomycin A3 （CMA3） staining with sperm parameters,were determined by Pearson＇s correlation. After preparation with all three media,sperm concentrations decreased （P〈0.05） while percentages of sperm with normal morphology increased （P〈0.05）. Percentages of sperm motility,rapid motility and progressive motile concentration （PMC） increased （P〈0.05） for each ofthese parameters,PureSperm preparation gave the best results （P〈0.05）. The percentage of DNA damage decreased in the PureSperm and Sil-Select Plus preparations （17.9% and 31.3%,respectively,P〈0.05） and increased in the SpermGrad preparation （56.3%,P〈0.05）. Protamine deficiency also decreased in all three kinds of media,59.3%,47.7% and 40.3% for PureSperm,Sil-Select Plus and SpermGrad preparations,respectively （P〈0.05）. The percentage of DNA-damaged sperm was negatively correlated with the percentages of sperm motility,rapid motility and PMC,but was positively correlated with static motility （P〈0.05）. This comparative study and correlation analysis revealed that PureSperm preparation yielded sperm with the best motility and the lowest percentage of protamine deficiency. The Sil-Select Plus preparation yielded sperm with the lowest amount of DNA damage. The SpermGrad preparation had a high percentage of sperm with normal morphology,but also had the highest percentage of sperm with DNA damage. Sperm DNA damage was correlated with percentages of sperm motility,rapid motility,static motility and PMC.展开更多
The number of accidents in the campus of Suranaree University of Technology(SUT)has increased due to increasing number of personal vehicles.In this paper,we focus on the development of public transportation system usi...The number of accidents in the campus of Suranaree University of Technology(SUT)has increased due to increasing number of personal vehicles.In this paper,we focus on the development of public transportation system using Intelligent Transportation System(ITS)along with the limitation of personal vehicles using sharing economy model.The SUT Smart Transit is utilized as a major public transportation system,while MoreSai@SUT(electric motorcycle services)is a minor public transportation system in this work.They are called Multi-Mode Transportation system as a combination.Moreover,a Vehicle toNetwork(V2N)is used for developing theMulti-Mode Transportation system in the campus.Due to equipping vehicles with On Board Unit(OBU)and 4G LTE modules,the real time speed and locations are transmitted to the cloud.The data is then applied in the proposed mathematical model for the estimation of Estimated Time of Arrival(ETA).In terms of vehicle classifications and counts,we deployed CCTV cameras,and the recorded videos are analyzed by using You Only Look Once(YOLO)algorithm.The simulation and measurement results of SUT Smart Transit and MoreSai@SUT before the covid-19 pandemic are discussed.Contrary to the existing researches,the proposed system is implemented in the real environment.The final results unveil the attractiveness and satisfaction of users.Also,due to the proposed system,the CO_(2) gas gets reduced when Multi-Mode Transportation is implemented practically in the campus.展开更多
文摘Semen samples collected from 28 male partners of infertile couples were divided into three equal aliquots and prepared with three selected media,such as PureSperm （Nidacon,Gothenburg,Sweden）,Sil-Select Plus^TM （Fertipro,Beemem,Belgium） and SpermGrad^TM（Vitrolife,Gothenburg,Sweden）. The differences in mean percentages of semen parameters were assessed by repeated measures analysis. Correlations of sperm DNA damage,as measured by terminal deoxynucleotidyl transferase dUTP nick end labeling （TUNEL） assay,and of protamine deficiency,as measured by chromomycin A3 （CMA3） staining with sperm parameters,were determined by Pearson＇s correlation. After preparation with all three media,sperm concentrations decreased （P〈0.05） while percentages of sperm with normal morphology increased （P〈0.05）. Percentages of sperm motility,rapid motility and progressive motile concentration （PMC） increased （P〈0.05） for each ofthese parameters,PureSperm preparation gave the best results （P〈0.05）. The percentage of DNA damage decreased in the PureSperm and Sil-Select Plus preparations （17.9% and 31.3%,respectively,P〈0.05） and increased in the SpermGrad preparation （56.3%,P〈0.05）. Protamine deficiency also decreased in all three kinds of media,59.3%,47.7% and 40.3% for PureSperm,Sil-Select Plus and SpermGrad preparations,respectively （P〈0.05）. The percentage of DNA-damaged sperm was negatively correlated with the percentages of sperm motility,rapid motility and PMC,but was positively correlated with static motility （P〈0.05）. This comparative study and correlation analysis revealed that PureSperm preparation yielded sperm with the best motility and the lowest percentage of protamine deficiency. The Sil-Select Plus preparation yielded sperm with the lowest amount of DNA damage. The SpermGrad preparation had a high percentage of sperm with normal morphology,but also had the highest percentage of sperm with DNA damage. Sperm DNA damage was correlated with percentages of sperm motility,rapid motility,static motility and PMC.
基金This work was supported by Suranaree University of Technology(SUT).The authors would also like to thank SUT Smart Transit and Thai AI for supporting the experimental and datasets.
文摘The number of accidents in the campus of Suranaree University of Technology(SUT)has increased due to increasing number of personal vehicles.In this paper,we focus on the development of public transportation system using Intelligent Transportation System(ITS)along with the limitation of personal vehicles using sharing economy model.The SUT Smart Transit is utilized as a major public transportation system,while MoreSai@SUT(electric motorcycle services)is a minor public transportation system in this work.They are called Multi-Mode Transportation system as a combination.Moreover,a Vehicle toNetwork(V2N)is used for developing theMulti-Mode Transportation system in the campus.Due to equipping vehicles with On Board Unit(OBU)and 4G LTE modules,the real time speed and locations are transmitted to the cloud.The data is then applied in the proposed mathematical model for the estimation of Estimated Time of Arrival(ETA).In terms of vehicle classifications and counts,we deployed CCTV cameras,and the recorded videos are analyzed by using You Only Look Once(YOLO)algorithm.The simulation and measurement results of SUT Smart Transit and MoreSai@SUT before the covid-19 pandemic are discussed.Contrary to the existing researches,the proposed system is implemented in the real environment.The final results unveil the attractiveness and satisfaction of users.Also,due to the proposed system,the CO_(2) gas gets reduced when Multi-Mode Transportation is implemented practically in the campus.
