The mechanism of lightning that ignites a forest fire and the lightning that occurs above a forest fire are explained at the molecular level. It is based on two phenomena, namely, internal charge separation inside the...The mechanism of lightning that ignites a forest fire and the lightning that occurs above a forest fire are explained at the molecular level. It is based on two phenomena, namely, internal charge separation inside the atmospheric cloud particles and the existence of a layer of positively charged hydrogen atoms sticking out of the surface of the liquid layer of water on the surface of rimers. Strong turbulence-driven collisions of the ice particles and water droplets with the rimers give rise to breakups of the ice particles and water droplets into positively and negatively charged fragments leading to charge separation. Hot weather in a forest contributes to the updraft of hot and humid air, which follows the same physical/chemical processes of normal lightning proposed and explained recently[1]. Lightning would have a high probability of lighting up and burning the dry biological materials in the ground of the forest, leading to a forest (wild) fire. The burning of trees and other plants would release a lot of heat and moisture together with a lot of smoke particles (aerosols) becoming a strong updraft. The condition for creating lightning is again satisfied which would result in further lightning high above the forest wild fire.展开更多
目的观察黄芪桂枝五物汤联合雷火灸治疗对2型糖尿病周围神经病变(DPN)患者的临床效果。方法选取2021年11月至2023年1月江西中医药大学第二附属医院收治的70例2型DPN患者作为研究对象,采用随机数字表法分为对照组(35例)与治疗组(35例)。...目的观察黄芪桂枝五物汤联合雷火灸治疗对2型糖尿病周围神经病变(DPN)患者的临床效果。方法选取2021年11月至2023年1月江西中医药大学第二附属医院收治的70例2型DPN患者作为研究对象,采用随机数字表法分为对照组(35例)与治疗组(35例)。对照组口服甲钴胺片治疗,治疗组接受黄芪桂枝五物汤联合雷火灸治疗,两组患者均治疗8周。比较两组患者临床疗效、中医症候积分、C肽水平、血液流变学指标。结果治疗组患者临床总有效率高于对照组,差异有统计学意义(P<0.05);治疗组患者治疗后手足麻木、肢体疼痛、肢体乏力等中医症候积分低于对照组,差异有统计学意义(P<0.05);两组患者治疗后空腹C肽(FC-P)、餐后2 h C肽(2 h C-P)水平均高于本组治疗前,且治疗组患者治疗后FC-P、2 h C-P水平高于对照组,差异有统计学意义(P<0.05);治疗组患者治疗后血浆黏度、纤维蛋白原、红细胞比容水平均低于对照组,差异有统计学意义(P<0.05)。结论黄芪桂枝五物汤联合雷火灸治疗能提高2型DPN患者临床疗效,减轻患者临床症状,同时提高C肽水平,并改善血液流变学。展开更多
The analysis of the fluid characteristics downstream of a fire source in transportation tunnels is one the most important factor in the emergency response, evacuation, and the rescue service studies. Some crucial para...The analysis of the fluid characteristics downstream of a fire source in transportation tunnels is one the most important factor in the emergency response, evacuation, and the rescue service studies. Some crucial parameters can affect the fluid characteristics downstream of the fire. This research develops a statistical analysis on the computational fluid dynamics(CFD) data of the road tunnel fire simulations in order to quantify the significance of tunnel dimensions, inlet air velocity, heat release rate, and the physical fire size(fire perimeter) on the fluid characteristics downstream of the fire source. The selected characteristics of the fluid(response variables) were the average temperature, the average density, the average viscosity, and the average velocity. The prediction of the designed statistical models was assessed; then the significant parameters' effects and the parameters interactive effects on different response variables were determined individually. Next, the effect of computational domain length on the selection of the significant parameters downstream of the fire source was analyzed. In this statistical analysis, the linear models were found to provide the statistically good prediction. The effect of the fire perimeter and the parameters interactive effects on the selected response variables downstream of the fire, were found to be insignificant.展开更多
文摘The mechanism of lightning that ignites a forest fire and the lightning that occurs above a forest fire are explained at the molecular level. It is based on two phenomena, namely, internal charge separation inside the atmospheric cloud particles and the existence of a layer of positively charged hydrogen atoms sticking out of the surface of the liquid layer of water on the surface of rimers. Strong turbulence-driven collisions of the ice particles and water droplets with the rimers give rise to breakups of the ice particles and water droplets into positively and negatively charged fragments leading to charge separation. Hot weather in a forest contributes to the updraft of hot and humid air, which follows the same physical/chemical processes of normal lightning proposed and explained recently[1]. Lightning would have a high probability of lighting up and burning the dry biological materials in the ground of the forest, leading to a forest (wild) fire. The burning of trees and other plants would release a lot of heat and moisture together with a lot of smoke particles (aerosols) becoming a strong updraft. The condition for creating lightning is again satisfied which would result in further lightning high above the forest wild fire.
文摘目的观察黄芪桂枝五物汤联合雷火灸治疗对2型糖尿病周围神经病变(DPN)患者的临床效果。方法选取2021年11月至2023年1月江西中医药大学第二附属医院收治的70例2型DPN患者作为研究对象,采用随机数字表法分为对照组(35例)与治疗组(35例)。对照组口服甲钴胺片治疗,治疗组接受黄芪桂枝五物汤联合雷火灸治疗,两组患者均治疗8周。比较两组患者临床疗效、中医症候积分、C肽水平、血液流变学指标。结果治疗组患者临床总有效率高于对照组,差异有统计学意义(P<0.05);治疗组患者治疗后手足麻木、肢体疼痛、肢体乏力等中医症候积分低于对照组,差异有统计学意义(P<0.05);两组患者治疗后空腹C肽(FC-P)、餐后2 h C肽(2 h C-P)水平均高于本组治疗前,且治疗组患者治疗后FC-P、2 h C-P水平高于对照组,差异有统计学意义(P<0.05);治疗组患者治疗后血浆黏度、纤维蛋白原、红细胞比容水平均低于对照组,差异有统计学意义(P<0.05)。结论黄芪桂枝五物汤联合雷火灸治疗能提高2型DPN患者临床疗效,减轻患者临床症状,同时提高C肽水平,并改善血液流变学。
文摘The analysis of the fluid characteristics downstream of a fire source in transportation tunnels is one the most important factor in the emergency response, evacuation, and the rescue service studies. Some crucial parameters can affect the fluid characteristics downstream of the fire. This research develops a statistical analysis on the computational fluid dynamics(CFD) data of the road tunnel fire simulations in order to quantify the significance of tunnel dimensions, inlet air velocity, heat release rate, and the physical fire size(fire perimeter) on the fluid characteristics downstream of the fire source. The selected characteristics of the fluid(response variables) were the average temperature, the average density, the average viscosity, and the average velocity. The prediction of the designed statistical models was assessed; then the significant parameters' effects and the parameters interactive effects on different response variables were determined individually. Next, the effect of computational domain length on the selection of the significant parameters downstream of the fire source was analyzed. In this statistical analysis, the linear models were found to provide the statistically good prediction. The effect of the fire perimeter and the parameters interactive effects on the selected response variables downstream of the fire, were found to be insignificant.
