This article explores the progress of the healthcare sector in the Kingdom of Saudi Arabia over the past two decades. Through continuous coordination and efforts to improve the quality and quantity of health services,...This article explores the progress of the healthcare sector in the Kingdom of Saudi Arabia over the past two decades. Through continuous coordination and efforts to improve the quality and quantity of health services, the government has significantly increased the availability of health facilities across the nation. This steady growth has allowed the country to maintain an upward trajectory in healthcare sector development in comparison to other countries. The Saudi Arabian government is preparing to implement Accountable Care Organizations (ACOs) as part of their “Vision 2030.” By aligning with the goals of this visionary roadmap, the government aims to address the challenges faced by the existing healthcare system under the Ministry of Health (MOH). This strategic move is expected to transform the healthcare sector, positioning Saudi Arabia at par with its international counterparts and bolstering its economic competitiveness. This article highlights the historical context of Saudi Arabia’s healthcare system, and compares it with the forthcoming ACO implementation under “Vision 2030.” This information provides valuable insights into the trajectory of the country’s healthcare landscape and the potential impact of ACOs in shaping the Kingdom’s future in healthcare and economic development overall.展开更多
针对蚁群算法运动规划收敛慢且精度不佳的问题,提出一种改进势场蚁群(improved artificial potential field ant colony optimization, IAPF-ACO)算法。斥力计算模型引入目标调节因子解决势场寻优不可达且易陷入局部最优问题。蚁群算法...针对蚁群算法运动规划收敛慢且精度不佳的问题,提出一种改进势场蚁群(improved artificial potential field ant colony optimization, IAPF-ACO)算法。斥力计算模型引入目标调节因子解决势场寻优不可达且易陷入局部最优问题。蚁群算法计算框架加入改进势场模型,即启发信息函数中增加势场信息因子。三维障碍物空间仿真规划表明:IAPF-ACO算法在离散环境与聚集环境规划路径质量较优、规划结果较为稳定。在MATLAB搭建工业机器人仿真模型,关节空间内对规划路径点平滑处理,避障仿真结果表明,工业机器人末端位移是一条安全、平滑的运动轨迹。展开更多
用根癌农杆菌(Agrobacterium tum efaciens)和基因枪两种方法,以桃(Prunus persicaL.Batsch)幼胚子叶为受体,转化桃ACC氧化酶(ACO)反义基因片段,经筛选培养获得了卡那霉素抗性芽。微芽嫁接培养抗性芽部分可成株。PCR、Southern杂交和GU...用根癌农杆菌(Agrobacterium tum efaciens)和基因枪两种方法,以桃(Prunus persicaL.Batsch)幼胚子叶为受体,转化桃ACC氧化酶(ACO)反义基因片段,经筛选培养获得了卡那霉素抗性芽。微芽嫁接培养抗性芽部分可成株。PCR、Southern杂交和GUS基因表达等分子检测,初步表明外源反义ACO基因已经整合到桃基因组中。展开更多
文摘This article explores the progress of the healthcare sector in the Kingdom of Saudi Arabia over the past two decades. Through continuous coordination and efforts to improve the quality and quantity of health services, the government has significantly increased the availability of health facilities across the nation. This steady growth has allowed the country to maintain an upward trajectory in healthcare sector development in comparison to other countries. The Saudi Arabian government is preparing to implement Accountable Care Organizations (ACOs) as part of their “Vision 2030.” By aligning with the goals of this visionary roadmap, the government aims to address the challenges faced by the existing healthcare system under the Ministry of Health (MOH). This strategic move is expected to transform the healthcare sector, positioning Saudi Arabia at par with its international counterparts and bolstering its economic competitiveness. This article highlights the historical context of Saudi Arabia’s healthcare system, and compares it with the forthcoming ACO implementation under “Vision 2030.” This information provides valuable insights into the trajectory of the country’s healthcare landscape and the potential impact of ACOs in shaping the Kingdom’s future in healthcare and economic development overall.
文摘针对蚁群算法运动规划收敛慢且精度不佳的问题,提出一种改进势场蚁群(improved artificial potential field ant colony optimization, IAPF-ACO)算法。斥力计算模型引入目标调节因子解决势场寻优不可达且易陷入局部最优问题。蚁群算法计算框架加入改进势场模型,即启发信息函数中增加势场信息因子。三维障碍物空间仿真规划表明:IAPF-ACO算法在离散环境与聚集环境规划路径质量较优、规划结果较为稳定。在MATLAB搭建工业机器人仿真模型,关节空间内对规划路径点平滑处理,避障仿真结果表明,工业机器人末端位移是一条安全、平滑的运动轨迹。
文摘用根癌农杆菌(Agrobacterium tum efaciens)和基因枪两种方法,以桃(Prunus persicaL.Batsch)幼胚子叶为受体,转化桃ACC氧化酶(ACO)反义基因片段,经筛选培养获得了卡那霉素抗性芽。微芽嫁接培养抗性芽部分可成株。PCR、Southern杂交和GUS基因表达等分子检测,初步表明外源反义ACO基因已经整合到桃基因组中。