Monte Carlo simulation of gamma photon transport and interaction with the distillation column and its contents was performed in order to predict the effects of gamma photons when they interact with matter. The results...Monte Carlo simulation of gamma photon transport and interaction with the distillation column and its contents was performed in order to predict the effects of gamma photons when they interact with matter. The results of the interaction and transport of gamma photons are presented as energy deposition on the distillation column and its contents. Energy attenuation was more pronounced on the column walls and trays as compared to the region between the trays, where there is mostly vapour space. Gamma column scanning was then used to verify the Monte Carlo simulation results by scanning and investigating the integrity of two laboratory prototype distillation and industrial distillation columns. One of the prototype distillation columns was 1 m tall with four trays and the other one was 1.8 m tall consisting of six trays and a packed bed. Commonly encountered distillation column malfunctions such as collapsed tray, weeping, flooding and foaming were simulated in the two prototype distillation columns and scanned. The industrial distillation column was a 26 m tall benzole prefractionator column, consisting of 60 single pass trays and a diameter of 0.8 m. A 10 mCi <sup>60</sup>Co gamma radiation source and NaI(Tl) scintillation detector were used to scan the distillation columns. The results from the two prototypes showed that all the simulated malfunctions were clearly detected except for foaming. The results from industrial distillation column showed that all the trays were in their correct position although tray number 32 could be partially damaged and just below tray 41, the scan revealed that there was a loss of column wall thickness. The obtained density profile for the industrial distillation column showed some small variations from the expected density profile and this was attributed to external features on the distillation column and wind bursts that shifted the source and detector from the chosen scan line orientation.展开更多
In this research, the researchers addressed the issue of digital transformation and its impact on the development of medical maintenance, and this topic is very important in the field of medical engineering. The resea...In this research, the researchers addressed the issue of digital transformation and its impact on the development of medical maintenance, and this topic is very important in the field of medical engineering. The researchers chose the military Hospital in Medina as his study location. The study aimed to identify and address the main challenges facing the digital transformation of medical maintenance at the Military Hospital in Medina. It seeks to analyze the current state of digitalization in medical maintenance operations, identify areas requiring improvement, and propose effective strategies to overcome obstacles. The study will evaluate the impact of digital transformation on efficiency, cost-effectiveness, patient care, and overall operational performance. At the end of the research, the researchers reached several results, including that introducing digital systems and technologies into medical maintenance can increase efficiency in various aspects, such as scheduling equipment maintenance, inventory management, and resource allocation. Researchers may find evidence of reduced downtime, streamlined workflow, and optimized use of resources. In addition, digital transformation initiatives in medical maintenance may focus on ensuring the safety and reliability of medical equipment. Research can reveal improvements in equipment reliability, decreased equipment failure rates, and improved patient safety outcomes. The researchers also recommended developing a comprehensive strategy for digital transformation: Based on the research results, it is recommended to develop a well-defined strategy that defines the hospital’s vision, goals, and roadmap for the digital transformation of medical maintenance. This strategy should consider factors such as technology selection, resource allocation, timeline, and change management. Invest in a solid digital infrastructure: To support the digital transformation of medical maintenance, the hospital must invest in a reliable and secure digital infrastructure. This includes upgra展开更多
Trends of various intracranial pressure (ICP) parameters for high pressure hydrocephalus patients are utilized to detect various shunt faults in their early stages, as well as, to monitor the effect of such faults on ...Trends of various intracranial pressure (ICP) parameters for high pressure hydrocephalus patients are utilized to detect various shunt faults in their early stages, as well as, to monitor the effect of such faults on shunt performance. A method was proposed to predict the time required for ICP to be abnormal and for the valve to reach full blockage condition. Furthermore, an auto valve schedule updating method is proposed and used to temporarily deal with detected faults until the patient is checked up by his/her physician. The proposed algorithms were evaluated using numerical simulation.展开更多
文摘Monte Carlo simulation of gamma photon transport and interaction with the distillation column and its contents was performed in order to predict the effects of gamma photons when they interact with matter. The results of the interaction and transport of gamma photons are presented as energy deposition on the distillation column and its contents. Energy attenuation was more pronounced on the column walls and trays as compared to the region between the trays, where there is mostly vapour space. Gamma column scanning was then used to verify the Monte Carlo simulation results by scanning and investigating the integrity of two laboratory prototype distillation and industrial distillation columns. One of the prototype distillation columns was 1 m tall with four trays and the other one was 1.8 m tall consisting of six trays and a packed bed. Commonly encountered distillation column malfunctions such as collapsed tray, weeping, flooding and foaming were simulated in the two prototype distillation columns and scanned. The industrial distillation column was a 26 m tall benzole prefractionator column, consisting of 60 single pass trays and a diameter of 0.8 m. A 10 mCi <sup>60</sup>Co gamma radiation source and NaI(Tl) scintillation detector were used to scan the distillation columns. The results from the two prototypes showed that all the simulated malfunctions were clearly detected except for foaming. The results from industrial distillation column showed that all the trays were in their correct position although tray number 32 could be partially damaged and just below tray 41, the scan revealed that there was a loss of column wall thickness. The obtained density profile for the industrial distillation column showed some small variations from the expected density profile and this was attributed to external features on the distillation column and wind bursts that shifted the source and detector from the chosen scan line orientation.
文摘In this research, the researchers addressed the issue of digital transformation and its impact on the development of medical maintenance, and this topic is very important in the field of medical engineering. The researchers chose the military Hospital in Medina as his study location. The study aimed to identify and address the main challenges facing the digital transformation of medical maintenance at the Military Hospital in Medina. It seeks to analyze the current state of digitalization in medical maintenance operations, identify areas requiring improvement, and propose effective strategies to overcome obstacles. The study will evaluate the impact of digital transformation on efficiency, cost-effectiveness, patient care, and overall operational performance. At the end of the research, the researchers reached several results, including that introducing digital systems and technologies into medical maintenance can increase efficiency in various aspects, such as scheduling equipment maintenance, inventory management, and resource allocation. Researchers may find evidence of reduced downtime, streamlined workflow, and optimized use of resources. In addition, digital transformation initiatives in medical maintenance may focus on ensuring the safety and reliability of medical equipment. Research can reveal improvements in equipment reliability, decreased equipment failure rates, and improved patient safety outcomes. The researchers also recommended developing a comprehensive strategy for digital transformation: Based on the research results, it is recommended to develop a well-defined strategy that defines the hospital’s vision, goals, and roadmap for the digital transformation of medical maintenance. This strategy should consider factors such as technology selection, resource allocation, timeline, and change management. Invest in a solid digital infrastructure: To support the digital transformation of medical maintenance, the hospital must invest in a reliable and secure digital infrastructure. This includes upgra
文摘Trends of various intracranial pressure (ICP) parameters for high pressure hydrocephalus patients are utilized to detect various shunt faults in their early stages, as well as, to monitor the effect of such faults on shunt performance. A method was proposed to predict the time required for ICP to be abnormal and for the valve to reach full blockage condition. Furthermore, an auto valve schedule updating method is proposed and used to temporarily deal with detected faults until the patient is checked up by his/her physician. The proposed algorithms were evaluated using numerical simulation.
