The antioxidant of reduced glutathione（GSH） is the most abundant thiol in cells for the maintenance of the intracellular redox balance. The study aimed to assay the effect of sperm treatment with GSH before incubati...The antioxidant of reduced glutathione（GSH） is the most abundant thiol in cells for the maintenance of the intracellular redox balance. The study aimed to assay the effect of sperm treatment with GSH before incubation with oocytes on the development potential of embryos obtained by in vitro fertilization（IVF）. Also the mitochondrial membrane potential（ΔΨm）, plasma membrane integrity（viability）, DNA fragmentation, reactive oxygen species（ROS） content, superoxide dismutase（SOD）, catalase（CAT） and glutathione peroxidase（GPx） activities, methane dicarboxylic aldehyde（MDA） level as indices of lipid peroxidation in sex-sorted and unsorted sperm from three bulls were investigated using flow cytometry and enzyme-labeled instrument individually. The results showed that 2 mm ol L^–1 GSH increased significantly the cleavage rate（86.68% vs. 82.78%）, 4- to 8-cell rate（82.30% vs. 73.43%） and blastocyst rate（43.15% vs. 35.24%） of IVF embryos compared with untreated group. Furthermore, addition of GSH increased significantly the ΔΨm and viability, decreased the ratio of DNA fragmentation in sex-sorted or unsorted semen（P〈0.05）, except the sex-sorted semen from bull 019. Similarly, activities of SOD, CAT and GPx were increased significantly. However, the contents of MDA were decreased significantly both in sex-sorted and unsorted semen treated with GSH（P〈0.05）. These results suggest that sperm pretreatment with GSH during IVF can maintain better the viability and fertility of sperm through reducing apoptosis and increasing the antioxidant capacity, which improves the IVF embryos development.展开更多
In computer vision,convolutional neural networks have a wide range of uses.Images representmost of today’s data,so it’s important to know how to handle these large amounts of data efficiently.Convolutional neural ne...In computer vision,convolutional neural networks have a wide range of uses.Images representmost of today’s data,so it’s important to know how to handle these large amounts of data efficiently.Convolutional neural networks have been shown to solve image processing problems effectively.However,when designing the network structure for a particular problem,you need to adjust the hyperparameters for higher accuracy.This technique is time consuming and requires a lot of work and domain knowledge.Designing a convolutional neural network architecture is a classic NP-hard optimization challenge.On the other hand,different datasets require different combinations of models or hyperparameters,which can be time consuming and inconvenient.Various approaches have been proposed to overcome this problem,such as grid search limited to low-dimensional space and queuing by random selection.To address this issue,we propose an evolutionary algorithm-based approach that dynamically enhances the structure of Convolution Neural Networks(CNNs)using optimized hyperparameters.This study proposes a method using Non-dominated sorted genetic algorithms(NSGA)to improve the hyperparameters of the CNN model.In addition,different types and parameter ranges of existing genetic algorithms are used.Acomparative study was conducted with various state-of-the-art methodologies and algorithms.Experiments have shown that our proposed approach is superior to previous methods in terms of classification accuracy,and the results are published in modern computing literature.展开更多
How to quickly and accurately detect new topics from massive data online becomes a main problem of public opinion monitoring in cyberspace. This paperpresents a new event detection method for the current new event det...How to quickly and accurately detect new topics from massive data online becomes a main problem of public opinion monitoring in cyberspace. This paperpresents a new event detection method for the current new event detection system, based on sorted subtopic matching algorithm and constructs the entire design framework. In this p^per, the subtopics contained in old topics （or news stories） are sorted in descending order according to their importance to the topic（or news stories）, and form a sorted subtopic sequence. In the process of subtopic matching, subtopic scoring matrix is used to determine whether a new story is reporting a new event. Experimental results show that the sorted subtopic matching model improved the accuracy and effectiveness ofthenew event detection system in cyberspace.展开更多
A new file assignment strategy of parallel I/O, which is named heuristic file sorted assignment algorithm was proposed on cluster computing system. Based on the load balancing, it assigns the files to the same disk ac...A new file assignment strategy of parallel I/O, which is named heuristic file sorted assignment algorithm was proposed on cluster computing system. Based on the load balancing, it assigns the files to the same disk according to the similar service time. Firstly, the files were sorted and stored at the set I in descending order in terms of their service time, then one disk of cluster node was selected randomly when the files were to be assigned, and at last the continuous files were taken orderly from the set I to the disk until the disk reached its load maximum. The experimental results show that the new strategy improves the performance by 20.2% when the load of the system is light and by 31.6% when the load is heavy. And the higher the data access rate, the more evident the improvement of the performance obtained by the heuristic file sorted assignment algorithm.展开更多
The purpose of this study is to analyze the household waste reduction effect of sorted collection of recyclable waste in Japan using a panel data analysis, which considers time-series and cross-section data simultaneo...The purpose of this study is to analyze the household waste reduction effect of sorted collection of recyclable waste in Japan using a panel data analysis, which considers time-series and cross-section data simultaneously. Also, the study shows the effect of the type of sorted items on the quantity of household waste disposed. We used the data attained from 103 cities recorded over three years, and applied the quantity of total waste disposed, the quantity of combustible waste, the quantity of other waste （waste excluding combustible and recyclable waste）, and the quantity of combustible plus other waste as objective variables, respectively, in the models. The result suggests that when the number of sorted items is increased marginally, the quantity of household waste decreases by about 0.5%-3.3% or 1.28-4.17 grams per capita per day. In addition, it is shown that sorting out white trays is effective in reducing the quantity of combustible waste. Sorting out paper containers and packages is also effective in reducing the quantity of other waste and combustible plus other waste.展开更多
The progress of modern industry has given rise to great requirements for network transmission latency and reliability in domains such as smart grid and intelligent driving.To address these challenges,the concept of Ti...The progress of modern industry has given rise to great requirements for network transmission latency and reliability in domains such as smart grid and intelligent driving.To address these challenges,the concept of Time-sensitive networking(TSN)is proposed by IEEE 802.1TSN working group.In order to achieve low latency,Cyclic queuing and forwarding(CQF)mechanism is introduced to schedule Timetriggered(TT)flows.In this paper,we construct a TSN model based on CQF and formulate the flow scheduling problem as an optimization problem aimed at maximizing the success rate of flow scheduling.The problem is tackled by a novel algorithm that makes full use of the characteristics and the relationship between the flows.Firstly,by K-means algorithm,the flows are initially partitioned into subsets based on their correlations.Subsequently,the flows within each subset are sorted by a new special criteria extracted from multiple features of flow.Finally,a flow offset selecting method based on load balance is used for resource mapping,so as to complete the process of flow scheduling.Experimental results demonstrate that the proposed algorithm exhibits significant advantages in terms of scheduling success rate and time efficiency.展开更多
The somatotopic representation of specific body parts is a well-established spatial organizational principle in the primary somatosensory and motor cortices.
准确、快速地统计苗木数量对苗圃的运营和管理具有重要意义,是提高苗圃运营和管理水平的有效方式。为快速准确统计完整地块内苗木数量,该研究选取云杉为研究对象,以无人机航拍完整地块云杉视频为数据源,提出一种基于YOLOv3(You Only Loo...准确、快速地统计苗木数量对苗圃的运营和管理具有重要意义,是提高苗圃运营和管理水平的有效方式。为快速准确统计完整地块内苗木数量,该研究选取云杉为研究对象,以无人机航拍完整地块云杉视频为数据源,提出一种基于YOLOv3(You Only Look Once v3,YOLOv3)和SORT(Simple Online and Realtime Tracking,SORT)的云杉数量统计方法。主要内容包括数据采集、YOLOv3检测模型构建、SORT跟踪算法和越线计数算法设计。以平均计数准确率(Mean Counting Accuracy,MCA)、平均绝对误差(Mean Absolute Error,MAE)、均方根误差(Root Mean Square Error,RMSE)和帧率(Frame Rate,FR)为评价指标,该方法对测试集中对应6个不同试验地块的视频内云杉进行数量统计的平均计数准确率MCA为92.30%,平均绝对误差MAE为72,均方根误差RMSE为98.85,帧率FR 11.5帧/s。试验结果表明该方法能够快速准确统计完整地块的云杉数量。相比SSD+SORT算法,该方法在4项评价指标中优势显著,平均计数准确率MCA高12.36个百分点,帧率FR高7.8帧/s,平均绝对误差MAE和均方根误差RMSE分别降低125.83和173.78。对比Faster R-CNN+SORT算法,该方法在保证准确率的基础上更加快速,平均计数准确率MCA仅降低1.33个百分点,但帧率FR提高了10.1帧/s。该研究从无人机航拍视频的角度为解决完整地块的苗木数量统计问题做出了有效探索。展开更多
基金supported by the grants from the National Science and Technology Support Program of China (2012BAD12B01)the Basic Research Fund of Institute of Animal Science, Chinese Academy of Agricultural Sciences (2013ywf-zd-2)+1 种基金the Agricultural Science and Technology Innovation Program, China (ASTIP-IAS06)the China Agriculture Research System (CARS-37)
文摘The antioxidant of reduced glutathione（GSH） is the most abundant thiol in cells for the maintenance of the intracellular redox balance. The study aimed to assay the effect of sperm treatment with GSH before incubation with oocytes on the development potential of embryos obtained by in vitro fertilization（IVF）. Also the mitochondrial membrane potential（ΔΨm）, plasma membrane integrity（viability）, DNA fragmentation, reactive oxygen species（ROS） content, superoxide dismutase（SOD）, catalase（CAT） and glutathione peroxidase（GPx） activities, methane dicarboxylic aldehyde（MDA） level as indices of lipid peroxidation in sex-sorted and unsorted sperm from three bulls were investigated using flow cytometry and enzyme-labeled instrument individually. The results showed that 2 mm ol L^–1 GSH increased significantly the cleavage rate（86.68% vs. 82.78%）, 4- to 8-cell rate（82.30% vs. 73.43%） and blastocyst rate（43.15% vs. 35.24%） of IVF embryos compared with untreated group. Furthermore, addition of GSH increased significantly the ΔΨm and viability, decreased the ratio of DNA fragmentation in sex-sorted or unsorted semen（P〈0.05）, except the sex-sorted semen from bull 019. Similarly, activities of SOD, CAT and GPx were increased significantly. However, the contents of MDA were decreased significantly both in sex-sorted and unsorted semen treated with GSH（P〈0.05）. These results suggest that sperm pretreatment with GSH during IVF can maintain better the viability and fertility of sperm through reducing apoptosis and increasing the antioxidant capacity, which improves the IVF embryos development.
基金This research was supported by the Researchers Supporting Program(TUMAProject-2021-27)Almaarefa University,Riyadh,Saudi Arabia.
文摘In computer vision,convolutional neural networks have a wide range of uses.Images representmost of today’s data,so it’s important to know how to handle these large amounts of data efficiently.Convolutional neural networks have been shown to solve image processing problems effectively.However,when designing the network structure for a particular problem,you need to adjust the hyperparameters for higher accuracy.This technique is time consuming and requires a lot of work and domain knowledge.Designing a convolutional neural network architecture is a classic NP-hard optimization challenge.On the other hand,different datasets require different combinations of models or hyperparameters,which can be time consuming and inconvenient.Various approaches have been proposed to overcome this problem,such as grid search limited to low-dimensional space and queuing by random selection.To address this issue,we propose an evolutionary algorithm-based approach that dynamically enhances the structure of Convolution Neural Networks(CNNs)using optimized hyperparameters.This study proposes a method using Non-dominated sorted genetic algorithms(NSGA)to improve the hyperparameters of the CNN model.In addition,different types and parameter ranges of existing genetic algorithms are used.Acomparative study was conducted with various state-of-the-art methodologies and algorithms.Experiments have shown that our proposed approach is superior to previous methods in terms of classification accuracy,and the results are published in modern computing literature.
基金Funded by the Planning Project of National Language Committee in the "12th 5-year Plan"(No.YB125-49)the Foundation for Key Program of Ministry of Education,China(No.212167)the Fundamental Research Funds for the Central Universities(No.SWJTU12CX096)
文摘How to quickly and accurately detect new topics from massive data online becomes a main problem of public opinion monitoring in cyberspace. This paperpresents a new event detection method for the current new event detection system, based on sorted subtopic matching algorithm and constructs the entire design framework. In this p^per, the subtopics contained in old topics （or news stories） are sorted in descending order according to their importance to the topic（or news stories）, and form a sorted subtopic sequence. In the process of subtopic matching, subtopic scoring matrix is used to determine whether a new story is reporting a new event. Experimental results show that the sorted subtopic matching model improved the accuracy and effectiveness ofthenew event detection system in cyberspace.
文摘A new file assignment strategy of parallel I/O, which is named heuristic file sorted assignment algorithm was proposed on cluster computing system. Based on the load balancing, it assigns the files to the same disk according to the similar service time. Firstly, the files were sorted and stored at the set I in descending order in terms of their service time, then one disk of cluster node was selected randomly when the files were to be assigned, and at last the continuous files were taken orderly from the set I to the disk until the disk reached its load maximum. The experimental results show that the new strategy improves the performance by 20.2% when the load of the system is light and by 31.6% when the load is heavy. And the higher the data access rate, the more evident the improvement of the performance obtained by the heuristic file sorted assignment algorithm.
文摘The purpose of this study is to analyze the household waste reduction effect of sorted collection of recyclable waste in Japan using a panel data analysis, which considers time-series and cross-section data simultaneously. Also, the study shows the effect of the type of sorted items on the quantity of household waste disposed. We used the data attained from 103 cities recorded over three years, and applied the quantity of total waste disposed, the quantity of combustible waste, the quantity of other waste （waste excluding combustible and recyclable waste）, and the quantity of combustible plus other waste as objective variables, respectively, in the models. The result suggests that when the number of sorted items is increased marginally, the quantity of household waste decreases by about 0.5%-3.3% or 1.28-4.17 grams per capita per day. In addition, it is shown that sorting out white trays is effective in reducing the quantity of combustible waste. Sorting out paper containers and packages is also effective in reducing the quantity of other waste and combustible plus other waste.
基金supported by Science and Technology Project of State Grid Corporation Headquarters under Grant 5108-202218280A-2-170-XG(Development and Application of Power Time-Sensitive Network Switching Chip。
文摘The progress of modern industry has given rise to great requirements for network transmission latency and reliability in domains such as smart grid and intelligent driving.To address these challenges,the concept of Time-sensitive networking(TSN)is proposed by IEEE 802.1TSN working group.In order to achieve low latency,Cyclic queuing and forwarding(CQF)mechanism is introduced to schedule Timetriggered(TT)flows.In this paper,we construct a TSN model based on CQF and formulate the flow scheduling problem as an optimization problem aimed at maximizing the success rate of flow scheduling.The problem is tackled by a novel algorithm that makes full use of the characteristics and the relationship between the flows.Firstly,by K-means algorithm,the flows are initially partitioned into subsets based on their correlations.Subsequently,the flows within each subset are sorted by a new special criteria extracted from multiple features of flow.Finally,a flow offset selecting method based on load balance is used for resource mapping,so as to complete the process of flow scheduling.Experimental results demonstrate that the proposed algorithm exhibits significant advantages in terms of scheduling success rate and time efficiency.
文摘The somatotopic representation of specific body parts is a well-established spatial organizational principle in the primary somatosensory and motor cortices.
文摘准确、快速地统计苗木数量对苗圃的运营和管理具有重要意义,是提高苗圃运营和管理水平的有效方式。为快速准确统计完整地块内苗木数量,该研究选取云杉为研究对象,以无人机航拍完整地块云杉视频为数据源,提出一种基于YOLOv3(You Only Look Once v3,YOLOv3)和SORT(Simple Online and Realtime Tracking,SORT)的云杉数量统计方法。主要内容包括数据采集、YOLOv3检测模型构建、SORT跟踪算法和越线计数算法设计。以平均计数准确率(Mean Counting Accuracy,MCA)、平均绝对误差(Mean Absolute Error,MAE)、均方根误差(Root Mean Square Error,RMSE)和帧率(Frame Rate,FR)为评价指标,该方法对测试集中对应6个不同试验地块的视频内云杉进行数量统计的平均计数准确率MCA为92.30%,平均绝对误差MAE为72,均方根误差RMSE为98.85,帧率FR 11.5帧/s。试验结果表明该方法能够快速准确统计完整地块的云杉数量。相比SSD+SORT算法,该方法在4项评价指标中优势显著,平均计数准确率MCA高12.36个百分点,帧率FR高7.8帧/s,平均绝对误差MAE和均方根误差RMSE分别降低125.83和173.78。对比Faster R-CNN+SORT算法,该方法在保证准确率的基础上更加快速,平均计数准确率MCA仅降低1.33个百分点,但帧率FR提高了10.1帧/s。该研究从无人机航拍视频的角度为解决完整地块的苗木数量统计问题做出了有效探索。
