Having devoted his life to building cultural,educational,and economic ties with China for over three decades,Tom Watkins shares his personal observations and perspectives on China’s latest development and its efforts...Having devoted his life to building cultural,educational,and economic ties with China for over three decades,Tom Watkins shares his personal observations and perspectives on China’s latest development and its efforts to build a community with shared future for all mankind.展开更多
It is not exaggerating to say that almost everybody in China knows about Tong Ren Tang, a traditional Chinese medicine drugstore in Beijing. And even many foreigners, who have never set foot on Chinese soil, know that...It is not exaggerating to say that almost everybody in China knows about Tong Ren Tang, a traditional Chinese medicine drugstore in Beijing. And even many foreigners, who have never set foot on Chinese soil, know that there is the Great Wall in China and a Tong Ren Tang in Beijing. Tong Ren Tang, which was opened in the eighth year (1669) of展开更多
The widespread application of new technologies,while empowering women with new opportunities,might also put them at disadvantage.For example,in comparison with males,the application of AI might be more likely to cost ...The widespread application of new technologies,while empowering women with new opportunities,might also put them at disadvantage.For example,in comparison with males,the application of AI might be more likely to cost them their jobs.Meanwhile,women are missing out the opportunity to participate in the policy-making process–they are absent from the table.If no change is made in the current policies,we will miss the goal to achieve gender equality,the fifth of the 17 Sustainable Development Goals set for UN’s 2030 Agenda for Sustainable Development,warned elite women scientists with the Organization for Women in Science for the Developing World(OWSD).What shall be done now?How can we make a difference?They are in action to help.展开更多
IN television and film it＇s common to hear the line ＂The moment I saw her, I told myself, ＇She＇s the one!＂ But in the real world, the typical phrase tends to be more along the lines of＂I never thought I would ha...IN television and film it＇s common to hear the line ＂The moment I saw her, I told myself, ＇She＇s the one!＂ But in the real world, the typical phrase tends to be more along the lines of＂I never thought I would have this kind of person as my soul mate.＂ And if you look at the person speaking, you＇ll surely see the glow of happiness on his face.展开更多
Regarding the first of the twenty-four Solar Terms,there has been controversy since the Qin and Han dynasties.Some people think it is the Winter Solstice,while others believe it is the Beginning of Spring.However,whet...Regarding the first of the twenty-four Solar Terms,there has been controversy since the Qin and Han dynasties.Some people think it is the Winter Solstice,while others believe it is the Beginning of Spring.However,whether in traditional agricultural society or contemporary daily life,it is commonly believed that the Beginning of Spring should be the first which is more in line with the change of seasons.展开更多
针对一维光子晶体制备过程中无序效应的引入问题,基于Look and Say数列与一维光子晶体结构构造了一种一维Look and Say序列分形结构光子晶体,仿真实现了在介质折射率与介质层厚度中引入适当无序效应对该种晶体反射图谱的影响分析。仿真...针对一维光子晶体制备过程中无序效应的引入问题,基于Look and Say数列与一维光子晶体结构构造了一种一维Look and Say序列分形结构光子晶体,仿真实现了在介质折射率与介质层厚度中引入适当无序效应对该种晶体反射图谱的影响分析。仿真表明:在介质折射率中引入适当高度无序效应、在介质层厚度中引入适当低度无序效应可以使得该种晶体的反射图谱获得较宽的高反射率频带,为部分光学器件反射性能的提高提供了参考依据。所提出分形光子晶体的反射和透射特性调控方法应用于实验教学后,可使学生更直观地理解复杂的理论知识,有效提升学生的动手操作能力、数据分析能力和解决实际工程问题的能力。展开更多
针对少精、弱精患者的家用精子检测仪嵌入式部署需求,提出一种基于改进you only look once(YOLO)v8n的轻量化精子检测算法.通过对YOLOv8n模型进行结构优化,在Neck层引入高效多分支尺度特征金字塔网络(EMBSFPN),在提高精度的同时保证了...针对少精、弱精患者的家用精子检测仪嵌入式部署需求,提出一种基于改进you only look once(YOLO)v8n的轻量化精子检测算法.通过对YOLOv8n模型进行结构优化,在Neck层引入高效多分支尺度特征金字塔网络(EMBSFPN),在提高精度的同时保证了模型的轻量化.在检测头部分采用轻量级共享可变形卷积检测(LSDECD)头替换原来的检测头,大大减少了模型的参数量和运算量.实验结果表明,改进后的算法在精子检测任务上实现了良好的性能,平均精度提高了2.3%,模型运算量减少了26.8%,为嵌入式系统上的精子检测应用提供了一种有效的解决方案.展开更多
鉴于传统消防报警系统在火灾环境下难以有效区分烟雾与火焰,导致响应延迟或误报的问题,提出了一种火灾图像识别方法。该方法基于深度迁移学习技术并对You Only Look Once v8(YOLOv8)网络模型进行了优化。具体而言,在模型中引入了瓶颈注...鉴于传统消防报警系统在火灾环境下难以有效区分烟雾与火焰,导致响应延迟或误报的问题,提出了一种火灾图像识别方法。该方法基于深度迁移学习技术并对You Only Look Once v8(YOLOv8)网络模型进行了优化。具体而言,在模型中引入了瓶颈注意力模块(bottleneck attention module,BAM)以增强特征提取网络的性能,显著提升模型对火灾特征(如烟雾与火焰)的敏感度和区分能力。同时为了克服内部协变量偏移的问题,应用了批量通道归一化(batch channel normalization,BCN)技术于每一层数据输出阶段,有效降低了因线性变换及激活函数作用导致数据范围扩大的影响。在广泛使用的D-Fire火灾数据集上进行的一系列严格实验表明,优化后的模型展现出卓越的性能。相较于原始YOLOv8模型,改进后的版本在精确性、全面捕获火灾事件的能力(召回率)以及综合评估指标(F1得分)上均实现了显著提升。展开更多
The United States appears poised to use the Hawaii APEC Summit to bolster its presence in the Asia Pacific The United States will host the 19th APEC Economic Leaders’ Meeting in Honolulu,
China’s digital nomad scene often conjures images of bustling metropolises like Shanghai,Shenzhen,or Beijing.Those who prefer a more traditional Chinese vibe tend to be drawn to places like the old town of Dali or Li...China’s digital nomad scene often conjures images of bustling metropolises like Shanghai,Shenzhen,or Beijing.Those who prefer a more traditional Chinese vibe tend to be drawn to places like the old town of Dali or Lijiang in Yunnan.But Anji County in Zhejiang Province is an underappreciated gem for those seeking a quieter,greener escape.Tucked away in the lush bamboo forests that inspired the movie Crouching Tiger,Hidden Dragon,Anji offers a unique blend of natural beauty,modern infrastructure,and an emerging digital nomad community.This serene corner of China could be the perfect spot for remote workers and freelancers looking for fresh air and something beyond the urban grind.展开更多
Artificial intelligence(AI)was a hot topic at this year’s annual meetings of the National People’s Congress and the National Committee of the Chinese People’s Political Consultative Conference,also referred to as t...Artificial intelligence(AI)was a hot topic at this year’s annual meetings of the National People’s Congress and the National Committee of the Chinese People’s Political Consultative Conference,also referred to as the Two Sessions.The recently released AI chatbot DeepSeek has quickly gained global attention and users with its rich features.展开更多
several months had passed since my trip to Xizang.The 21-day trip to Xizang may not seem long,but I had been looking forward to it for many years.I often told myself that my life should be different after I turned 60-...several months had passed since my trip to Xizang.The 21-day trip to Xizang may not seem long,but I had been looking forward to it for many years.I often told myself that my life should be different after I turned 60-freer and less constrained.So,I let go of everything,packed up,and hit the road to Xizang for 21 days.展开更多
Since Gome acquired China Paradise in 2006, it has moved quickly to consolidate its position as the strongest electronics retailer in China. As part of its efforts, Gome plans to raise $800 million.
Fire detection has held stringent importance in computer vision for over half a century.The development of early fire detection strategies is pivotal to the realization of safe and smart cities,inhabitable in the futu...Fire detection has held stringent importance in computer vision for over half a century.The development of early fire detection strategies is pivotal to the realization of safe and smart cities,inhabitable in the future.However,the development of optimal fire and smoke detection models is hindered by limitations like publicly available datasets,lack of diversity,and class imbalance.In this work,we explore the possible ways forward to overcome these challenges posed by available datasets.We study the impact of a class-balanced dataset to improve the fire detection capability of state-of-the-art(SOTA)vision-based models and propose the use of generative models for data augmentation,as a future work direction.First,a comparative analysis of two prominent object detection architectures,You Only Look Once version 7(YOLOv7)and YOLOv8 has been carried out using a balanced dataset,where both models have been evaluated across various evaluation metrics including precision,recall,and mean Average Precision(mAP).The results are compared to other recent fire detection models,highlighting the superior performance and efficiency of the proposed YOLOv8 architecture as trained on our balanced dataset.Next,a fractal dimension analysis gives a deeper insight into the repetition of patterns in fire,and the effectiveness of the results has been demonstrated by a windowing-based inference approach.The proposed Slicing-Aided Hyper Inference(SAHI)improves the fire and smoke detection capability of YOLOv8 for real-life applications with a significantly improved mAP performance over a strict confidence threshold.YOLOv8 with SAHI inference gives a mAP:50-95 improvement of more than 25%compared to the base YOLOv8 model.The study also provides insights into future work direction by exploring the potential of generative models like deep convolutional generative adversarial network(DCGAN)and diffusion models like stable diffusion,for data augmentation.展开更多
Unmanned Aerial Vehicles(UAVs)are increasingly employed in traffic surveillance,urban planning,and infrastructure monitoring due to their cost-effectiveness,flexibility,and high-resolution imaging.However,vehicle dete...Unmanned Aerial Vehicles(UAVs)are increasingly employed in traffic surveillance,urban planning,and infrastructure monitoring due to their cost-effectiveness,flexibility,and high-resolution imaging.However,vehicle detection and classification in aerial imagery remain challenging due to scale variations from fluctuating UAV altitudes,frequent occlusions in dense traffic,and environmental noise,such as shadows and lighting inconsistencies.Traditional methods,including sliding-window searches and shallow learning techniques,struggle with computational inefficiency and robustness under dynamic conditions.To address these limitations,this study proposes a six-stage hierarchical framework integrating radiometric calibration,deep learning,and classical feature engineering.The workflow begins with radiometric calibration to normalize pixel intensities and mitigate sensor noise,followed by Conditional Random Field(CRF)segmentation to isolate vehicles.YOLOv9,equipped with a bi-directional feature pyramid network(BiFPN),ensures precise multi-scale object detection.Hybrid feature extraction employs Maximally Stable Extremal Regions(MSER)for stable contour detection,Binary Robust Independent Elementary Features(BRIEF)for texture encoding,and Affine-SIFT(ASIFT)for viewpoint invariance.Quadratic Discriminant Analysis(QDA)enhances feature discrimination,while a Probabilistic Neural Network(PNN)performs Bayesian probability-based classification.Tested on the Roundabout Aerial Imagery(15,474 images,985K instances)and AU-AIR(32,823 instances,7 classes)datasets,the model achieves state-of-the-art accuracy of 95.54%and 94.14%,respectively.Its superior performance in detecting small-scale vehicles and resolving occlusions highlights its potential for intelligent traffic systems.Future work will extend testing to nighttime and adverse weather conditions while optimizing real-time UAV inference.展开更多
文摘Having devoted his life to building cultural,educational,and economic ties with China for over three decades,Tom Watkins shares his personal observations and perspectives on China’s latest development and its efforts to build a community with shared future for all mankind.
文摘It is not exaggerating to say that almost everybody in China knows about Tong Ren Tang, a traditional Chinese medicine drugstore in Beijing. And even many foreigners, who have never set foot on Chinese soil, know that there is the Great Wall in China and a Tong Ren Tang in Beijing. Tong Ren Tang, which was opened in the eighth year (1669) of
文摘The widespread application of new technologies,while empowering women with new opportunities,might also put them at disadvantage.For example,in comparison with males,the application of AI might be more likely to cost them their jobs.Meanwhile,women are missing out the opportunity to participate in the policy-making process–they are absent from the table.If no change is made in the current policies,we will miss the goal to achieve gender equality,the fifth of the 17 Sustainable Development Goals set for UN’s 2030 Agenda for Sustainable Development,warned elite women scientists with the Organization for Women in Science for the Developing World(OWSD).What shall be done now?How can we make a difference?They are in action to help.
文摘IN television and film it＇s common to hear the line ＂The moment I saw her, I told myself, ＇She＇s the one!＂ But in the real world, the typical phrase tends to be more along the lines of＂I never thought I would have this kind of person as my soul mate.＂ And if you look at the person speaking, you＇ll surely see the glow of happiness on his face.
文摘Regarding the first of the twenty-four Solar Terms,there has been controversy since the Qin and Han dynasties.Some people think it is the Winter Solstice,while others believe it is the Beginning of Spring.However,whether in traditional agricultural society or contemporary daily life,it is commonly believed that the Beginning of Spring should be the first which is more in line with the change of seasons.
文摘针对一维光子晶体制备过程中无序效应的引入问题,基于Look and Say数列与一维光子晶体结构构造了一种一维Look and Say序列分形结构光子晶体,仿真实现了在介质折射率与介质层厚度中引入适当无序效应对该种晶体反射图谱的影响分析。仿真表明:在介质折射率中引入适当高度无序效应、在介质层厚度中引入适当低度无序效应可以使得该种晶体的反射图谱获得较宽的高反射率频带,为部分光学器件反射性能的提高提供了参考依据。所提出分形光子晶体的反射和透射特性调控方法应用于实验教学后,可使学生更直观地理解复杂的理论知识,有效提升学生的动手操作能力、数据分析能力和解决实际工程问题的能力。
文摘针对少精、弱精患者的家用精子检测仪嵌入式部署需求,提出一种基于改进you only look once(YOLO)v8n的轻量化精子检测算法.通过对YOLOv8n模型进行结构优化,在Neck层引入高效多分支尺度特征金字塔网络(EMBSFPN),在提高精度的同时保证了模型的轻量化.在检测头部分采用轻量级共享可变形卷积检测(LSDECD)头替换原来的检测头,大大减少了模型的参数量和运算量.实验结果表明,改进后的算法在精子检测任务上实现了良好的性能,平均精度提高了2.3%,模型运算量减少了26.8%,为嵌入式系统上的精子检测应用提供了一种有效的解决方案.
文摘鉴于传统消防报警系统在火灾环境下难以有效区分烟雾与火焰,导致响应延迟或误报的问题,提出了一种火灾图像识别方法。该方法基于深度迁移学习技术并对You Only Look Once v8(YOLOv8)网络模型进行了优化。具体而言,在模型中引入了瓶颈注意力模块(bottleneck attention module,BAM)以增强特征提取网络的性能,显著提升模型对火灾特征(如烟雾与火焰)的敏感度和区分能力。同时为了克服内部协变量偏移的问题,应用了批量通道归一化(batch channel normalization,BCN)技术于每一层数据输出阶段,有效降低了因线性变换及激活函数作用导致数据范围扩大的影响。在广泛使用的D-Fire火灾数据集上进行的一系列严格实验表明,优化后的模型展现出卓越的性能。相较于原始YOLOv8模型,改进后的版本在精确性、全面捕获火灾事件的能力(召回率)以及综合评估指标(F1得分)上均实现了显著提升。
文摘The United States appears poised to use the Hawaii APEC Summit to bolster its presence in the Asia Pacific The United States will host the 19th APEC Economic Leaders’ Meeting in Honolulu,
文摘China’s digital nomad scene often conjures images of bustling metropolises like Shanghai,Shenzhen,or Beijing.Those who prefer a more traditional Chinese vibe tend to be drawn to places like the old town of Dali or Lijiang in Yunnan.But Anji County in Zhejiang Province is an underappreciated gem for those seeking a quieter,greener escape.Tucked away in the lush bamboo forests that inspired the movie Crouching Tiger,Hidden Dragon,Anji offers a unique blend of natural beauty,modern infrastructure,and an emerging digital nomad community.This serene corner of China could be the perfect spot for remote workers and freelancers looking for fresh air and something beyond the urban grind.
文摘Artificial intelligence(AI)was a hot topic at this year’s annual meetings of the National People’s Congress and the National Committee of the Chinese People’s Political Consultative Conference,also referred to as the Two Sessions.The recently released AI chatbot DeepSeek has quickly gained global attention and users with its rich features.
文摘several months had passed since my trip to Xizang.The 21-day trip to Xizang may not seem long,but I had been looking forward to it for many years.I often told myself that my life should be different after I turned 60-freer and less constrained.So,I let go of everything,packed up,and hit the road to Xizang for 21 days.
文摘Since Gome acquired China Paradise in 2006, it has moved quickly to consolidate its position as the strongest electronics retailer in China. As part of its efforts, Gome plans to raise $800 million.
基金supported by a grant from R&D Program Development of Rail-Specific Digital Resource Technology Based on an AI-Enabled Rail Support Platform,grant number PK2401C1,of the Korea Railroad Research Institute.
文摘Fire detection has held stringent importance in computer vision for over half a century.The development of early fire detection strategies is pivotal to the realization of safe and smart cities,inhabitable in the future.However,the development of optimal fire and smoke detection models is hindered by limitations like publicly available datasets,lack of diversity,and class imbalance.In this work,we explore the possible ways forward to overcome these challenges posed by available datasets.We study the impact of a class-balanced dataset to improve the fire detection capability of state-of-the-art(SOTA)vision-based models and propose the use of generative models for data augmentation,as a future work direction.First,a comparative analysis of two prominent object detection architectures,You Only Look Once version 7(YOLOv7)and YOLOv8 has been carried out using a balanced dataset,where both models have been evaluated across various evaluation metrics including precision,recall,and mean Average Precision(mAP).The results are compared to other recent fire detection models,highlighting the superior performance and efficiency of the proposed YOLOv8 architecture as trained on our balanced dataset.Next,a fractal dimension analysis gives a deeper insight into the repetition of patterns in fire,and the effectiveness of the results has been demonstrated by a windowing-based inference approach.The proposed Slicing-Aided Hyper Inference(SAHI)improves the fire and smoke detection capability of YOLOv8 for real-life applications with a significantly improved mAP performance over a strict confidence threshold.YOLOv8 with SAHI inference gives a mAP:50-95 improvement of more than 25%compared to the base YOLOv8 model.The study also provides insights into future work direction by exploring the potential of generative models like deep convolutional generative adversarial network(DCGAN)and diffusion models like stable diffusion,for data augmentation.
基金supported through Princess Nourah bint Abdulrahman University Researchers Supporting Project number(PNURSP2025R508)Princess Nourah bint Abdulrahman University,Riyadh,Saudi ArabiaThe research team thanks the Deanship of Graduate Studies and Scientific Research at Najran University for supporting the research project through the Nama’a program,with the project code NU/GP/SERC/13/18-5.
文摘Unmanned Aerial Vehicles(UAVs)are increasingly employed in traffic surveillance,urban planning,and infrastructure monitoring due to their cost-effectiveness,flexibility,and high-resolution imaging.However,vehicle detection and classification in aerial imagery remain challenging due to scale variations from fluctuating UAV altitudes,frequent occlusions in dense traffic,and environmental noise,such as shadows and lighting inconsistencies.Traditional methods,including sliding-window searches and shallow learning techniques,struggle with computational inefficiency and robustness under dynamic conditions.To address these limitations,this study proposes a six-stage hierarchical framework integrating radiometric calibration,deep learning,and classical feature engineering.The workflow begins with radiometric calibration to normalize pixel intensities and mitigate sensor noise,followed by Conditional Random Field(CRF)segmentation to isolate vehicles.YOLOv9,equipped with a bi-directional feature pyramid network(BiFPN),ensures precise multi-scale object detection.Hybrid feature extraction employs Maximally Stable Extremal Regions(MSER)for stable contour detection,Binary Robust Independent Elementary Features(BRIEF)for texture encoding,and Affine-SIFT(ASIFT)for viewpoint invariance.Quadratic Discriminant Analysis(QDA)enhances feature discrimination,while a Probabilistic Neural Network(PNN)performs Bayesian probability-based classification.Tested on the Roundabout Aerial Imagery(15,474 images,985K instances)and AU-AIR(32,823 instances,7 classes)datasets,the model achieves state-of-the-art accuracy of 95.54%and 94.14%,respectively.Its superior performance in detecting small-scale vehicles and resolving occlusions highlights its potential for intelligent traffic systems.Future work will extend testing to nighttime and adverse weather conditions while optimizing real-time UAV inference.
