Using air pollution detecting equipments ITX,ATX620 and IBRID-MX6 Multi gas monitors a pioneer research was carried out to assess the levels of the exhausted gas emission in double-floored car parks of the Holy Prophe...Using air pollution detecting equipments ITX,ATX620 and IBRID-MX6 Multi gas monitors a pioneer research was carried out to assess the levels of the exhausted gas emission in double-floored car parks of the Holy Prophet Mosque in Al-Madinah A l-Munawarah from early 12:00 to 14:00 of Friday and from 19:00 to 22:30 at holy month,Ramadan.The percentage of both carbon monoxide(CO)and nitrogen dioxide(NO2)had significantly increased(p〈0.05-0.005).The peak levels of these air pollutants were between 13:15-13:20 during Fridays.The increase in the emission of these exhausted gases was concomitant with the significant decrease(p〈0.05)in oxygen(02)levels but the latter recovered its levels after 13:20 hours.The arithmetic total mean density of vehicle per minute(vpm)at Salam Road,the busiest road of Al-Madinah,during hours(07:00-09:00),(13:00-15:00)and(17:00-19:00)of both Friday and Saturdays respectively were(8/45,16/40 and 36/43).The increase in air pollution has been attributed to a dramatic increase in number of public cars use the car parks during these times,the consequent congestion at entries,the excess or/and poor consumption of fuels being utilized and the inadequate ventilation.展开更多
【目的】围绕AI场景下科学数据的共享与利用问题,针对现有FAIR原则不足以指导科学数据满足AI就绪的现状,构建面向AI就绪的科学数据共享与利用原则框架。【方法】通过系统梳理传统机器学习、大模型预训练、大模型微调、检索增强生成及智...【目的】围绕AI场景下科学数据的共享与利用问题,针对现有FAIR原则不足以指导科学数据满足AI就绪的现状,构建面向AI就绪的科学数据共享与利用原则框架。【方法】通过系统梳理传统机器学习、大模型预训练、大模型微调、检索增强生成及智能体等5类典型AI任务的数据需求,在传统FAIR“四可”维度的基础上,提出面向AI就绪(即For AI Ready)的科学数据共享与利用原则框架FAIR×FAIR,进而提出与框架相适应的层次化技术栈。【结果】FAIR×FAIR框架明确了13项科学数据满足AI就绪的技术要求,为弥合AI任务与科学数据之间的语义鸿沟提供了系统化方案。【局限】本研究提出的原则框架其实施效果仍需通过后续领域应用案例进一步验证。【结论】FAIR×FAIR框架为AI时代的科学数据共享与高效利用提供了理论依据和实践路径,对推动数据驱动型科研范式的演进具有重要意义。展开更多
一、站在未来看现实:“五大回归”的提出李静(以下简称李):很荣幸能在“理想国”的“理想家”年会上与钱理群老师一起畅谈“AI时代,人向何处去?”。“AI”这一术语的源起,通常被追溯至1956年美国达特茅斯学院举办的会议,名为“达特茅斯...一、站在未来看现实:“五大回归”的提出李静(以下简称李):很荣幸能在“理想国”的“理想家”年会上与钱理群老师一起畅谈“AI时代,人向何处去?”。“AI”这一术语的源起,通常被追溯至1956年美国达特茅斯学院举办的会议,名为“达特茅斯夏季人工智能研究计划”(Dartmouth Summer Research Project on Artificial Intelligence),迄今已近70年的时间。展开更多
文摘Using air pollution detecting equipments ITX,ATX620 and IBRID-MX6 Multi gas monitors a pioneer research was carried out to assess the levels of the exhausted gas emission in double-floored car parks of the Holy Prophet Mosque in Al-Madinah A l-Munawarah from early 12:00 to 14:00 of Friday and from 19:00 to 22:30 at holy month,Ramadan.The percentage of both carbon monoxide(CO)and nitrogen dioxide(NO2)had significantly increased(p〈0.05-0.005).The peak levels of these air pollutants were between 13:15-13:20 during Fridays.The increase in the emission of these exhausted gases was concomitant with the significant decrease(p〈0.05)in oxygen(02)levels but the latter recovered its levels after 13:20 hours.The arithmetic total mean density of vehicle per minute(vpm)at Salam Road,the busiest road of Al-Madinah,during hours(07:00-09:00),(13:00-15:00)and(17:00-19:00)of both Friday and Saturdays respectively were(8/45,16/40 and 36/43).The increase in air pollution has been attributed to a dramatic increase in number of public cars use the car parks during these times,the consequent congestion at entries,the excess or/and poor consumption of fuels being utilized and the inadequate ventilation.
文摘【目的】围绕AI场景下科学数据的共享与利用问题,针对现有FAIR原则不足以指导科学数据满足AI就绪的现状,构建面向AI就绪的科学数据共享与利用原则框架。【方法】通过系统梳理传统机器学习、大模型预训练、大模型微调、检索增强生成及智能体等5类典型AI任务的数据需求,在传统FAIR“四可”维度的基础上,提出面向AI就绪(即For AI Ready)的科学数据共享与利用原则框架FAIR×FAIR,进而提出与框架相适应的层次化技术栈。【结果】FAIR×FAIR框架明确了13项科学数据满足AI就绪的技术要求,为弥合AI任务与科学数据之间的语义鸿沟提供了系统化方案。【局限】本研究提出的原则框架其实施效果仍需通过后续领域应用案例进一步验证。【结论】FAIR×FAIR框架为AI时代的科学数据共享与高效利用提供了理论依据和实践路径,对推动数据驱动型科研范式的演进具有重要意义。
文摘一、站在未来看现实:“五大回归”的提出李静(以下简称李):很荣幸能在“理想国”的“理想家”年会上与钱理群老师一起畅谈“AI时代,人向何处去?”。“AI”这一术语的源起,通常被追溯至1956年美国达特茅斯学院举办的会议,名为“达特茅斯夏季人工智能研究计划”(Dartmouth Summer Research Project on Artificial Intelligence),迄今已近70年的时间。
