Identification of forest fire_points in NOAA images is the basis of monitoring forest fire using NOAA satellite data.Traditional visual interpretation is difficult to settle for auto_identification with computer.The a...Identification of forest fire_points in NOAA images is the basis of monitoring forest fire using NOAA satellite data.Traditional visual interpretation is difficult to settle for auto_identification with computer.The artificial neural network technique provides a new means for solving this problem.In this paper,the principles and method of using neural network technique to automatically identify fire_points in NOAA images are discussed and the test in the range of Hubei province is presented.The result of the test shows that the disciplined neural network has collected the character of fire_points and has ability to identify fire_points in NOAA images.Comparing neural network with visual interpretation,the conclusion is drawn that by using neural network the purpose of auto_identification of forest fire_points in NOAA images can be realized with the almost same precision.展开更多
目的观察激痛点火针疗法对腰背肌筋膜炎患者疼痛的影响。方法选取2021年3月—2023年3月在福建中医药大学附属三明市中西医结合医院康复科就诊的腰背肌筋膜炎患者65例,按随机数字表法分为对照组(n=32)与观察组(n=33)。对照组采用常规针...目的观察激痛点火针疗法对腰背肌筋膜炎患者疼痛的影响。方法选取2021年3月—2023年3月在福建中医药大学附属三明市中西医结合医院康复科就诊的腰背肌筋膜炎患者65例,按随机数字表法分为对照组(n=32)与观察组(n=33)。对照组采用常规针刺治疗,观察组采用针刺联合激痛点火针疗法。6周后评估2组患者疼痛评分、腰椎功能评分,观察腰背部红外成像结果。结果观察组患者视觉模拟评分法(visual analog scale,VAS)评分[(3.76±1.08)分vs.(5.28±1.55)分],Oswestry功能障碍指数问卷(Oswestry disability index,ODI)评分[(13.76±3.42)分vs.(11.50±4.58)分]及腰背部红外成像的平均温度[(30.21±3.03)℃vs.(33.31±3.16)℃]均显著低于对照组,差异有统计学意义(P<0.05)。结论针刺联合激痛点火针疗法可以有效缓解腰背肌筋膜炎患者疼痛,改善腰椎功能障碍。展开更多
文摘Identification of forest fire_points in NOAA images is the basis of monitoring forest fire using NOAA satellite data.Traditional visual interpretation is difficult to settle for auto_identification with computer.The artificial neural network technique provides a new means for solving this problem.In this paper,the principles and method of using neural network technique to automatically identify fire_points in NOAA images are discussed and the test in the range of Hubei province is presented.The result of the test shows that the disciplined neural network has collected the character of fire_points and has ability to identify fire_points in NOAA images.Comparing neural network with visual interpretation,the conclusion is drawn that by using neural network the purpose of auto_identification of forest fire_points in NOAA images can be realized with the almost same precision.
文摘目的观察激痛点火针疗法对腰背肌筋膜炎患者疼痛的影响。方法选取2021年3月—2023年3月在福建中医药大学附属三明市中西医结合医院康复科就诊的腰背肌筋膜炎患者65例,按随机数字表法分为对照组(n=32)与观察组(n=33)。对照组采用常规针刺治疗,观察组采用针刺联合激痛点火针疗法。6周后评估2组患者疼痛评分、腰椎功能评分,观察腰背部红外成像结果。结果观察组患者视觉模拟评分法(visual analog scale,VAS)评分[(3.76±1.08)分vs.(5.28±1.55)分],Oswestry功能障碍指数问卷(Oswestry disability index,ODI)评分[(13.76±3.42)分vs.(11.50±4.58)分]及腰背部红外成像的平均温度[(30.21±3.03)℃vs.(33.31±3.16)℃]均显著低于对照组,差异有统计学意义(P<0.05)。结论针刺联合激痛点火针疗法可以有效缓解腰背肌筋膜炎患者疼痛,改善腰椎功能障碍。
