Many rock engineering projects show that the growth of tensile cracks is often an important cause of engineering disasters,and the mechanical behavior of rocks is essentially the transmission,storage,dissipation and r...Many rock engineering projects show that the growth of tensile cracks is often an important cause of engineering disasters,and the mechanical behavior of rocks is essentially the transmission,storage,dissipation and release of energy.To investigate the tensile behavior of rock from the perspective of energy,uniaxial tension tests(UTTs)and uniaxial compression tests(UCTs)were carried out on three typical rocks(granite,sandstone and marble).Different unloading points were set before the peak stress to separate elastic energy and dissipated energy.The input energy density ut,elastic energy density ue,and dissipated energy density ud at each unloading point were calculated by integrating stress-strain curves.The results show that there is a strong linear relationship between the three energy parameters and the square of the unloading stress in UCT,but this linear relationship is weaker in UTT.The ue and ud increase linearly with the increase in ut in UCT and UTT.Based on the phenomenon that ue and ud increase linearly with ut,the applicability of W_(et)^(p) index in UTT was proved and the relative energy storage capacity and absolute energy distribution characteristics of three rocks in UCT and UTT were evaluated.The tensile behavior of marble and sandstone in UTT can be divided into two stages vaguely according to the energy distribution,but granite is not the case.In addition,based on dissipated energy,the damage evolution of three types of rocks in UCT and UTT was discussed.This study provides some new insights for understanding the tensile behavior of rock.展开更多
Irbesartan-hydrochlorothiazide is a commonly used antihypertensive drug,but potential adverse reactions such as hypokalemia should not be overlooked.This study analyzes a case of hypokalemia induced by irbesartan-hydr...Irbesartan-hydrochlorothiazide is a commonly used antihypertensive drug,but potential adverse reactions such as hypokalemia should not be overlooked.This study analyzes a case of hypokalemia induced by irbesartan-hydrochlorothiazide,exploring the drug’s association with hypokalemia and clinical treatment strategies.The patient experienced symptoms of muscle weakness and palpitations after taking irbesartan-hydrochlorothiazide and was diagnosed with hypokalemia through laboratory tests.Reviewing the patient’s medication history and disease progression,it was hypothesized that the drug’s potassium-wasting effect was the direct cause of the hypokalemia.After discontinuing the medication and initiating potassium supplementation,the patient’s potassium levels returned to normal,and symptoms significantly improved,further confirming the link between hypokalemia and the medication.This case suggests that clinicians should consider the risk of hypokalemia when treating hypertension,especially in patients with chronic kidney disease,the elderly,or those at risk for electrolyte disturbances.For patients who have already developed hypokalemia,potassium supplementation and adjustment of the treatment regimen are recommended to prevent further deterioration.Timely discontinuation of potential causative drugs is also advised.In summary,ensuring medication safety and preventing potential complications has significant clinical importance in recognizing and managing hypokalemia induced by irbesartan-hydrochlorothiazide.Future research should focus on optimizing treatment protocols and developing more effective strategies for preventing and managing related adverse reactions to improve patient quality of life.展开更多
Rough set philosophy hinges on the granularity of data, which is used to build all its basic concepts, like approximations, dependencies, reduction etc. Genetic Algorithms provides a general frame to optimize problem ...Rough set philosophy hinges on the granularity of data, which is used to build all its basic concepts, like approximations, dependencies, reduction etc. Genetic Algorithms provides a general frame to optimize problem solution of complex system without depending on the domain of problem.It is robust to many kinds of problems.The paper combines Genetic Algorithms and rough sets theory to compute granular of knowledge through an example of information table. The combination enable us to compute granular of knowledge effectively.It is also useful for computer auto-computing and information processing.展开更多
基金supported by the National Natural Science Foundation of China(Grant No.52074352)the National Natural Science Foundation of Hunan Province of China(Grant No.2023JJ30680)the Fundamental Research Funds for the Central Universities of Central South University(Grant No.2024ZZTS0423).
文摘Many rock engineering projects show that the growth of tensile cracks is often an important cause of engineering disasters,and the mechanical behavior of rocks is essentially the transmission,storage,dissipation and release of energy.To investigate the tensile behavior of rock from the perspective of energy,uniaxial tension tests(UTTs)and uniaxial compression tests(UCTs)were carried out on three typical rocks(granite,sandstone and marble).Different unloading points were set before the peak stress to separate elastic energy and dissipated energy.The input energy density ut,elastic energy density ue,and dissipated energy density ud at each unloading point were calculated by integrating stress-strain curves.The results show that there is a strong linear relationship between the three energy parameters and the square of the unloading stress in UCT,but this linear relationship is weaker in UTT.The ue and ud increase linearly with the increase in ut in UCT and UTT.Based on the phenomenon that ue and ud increase linearly with ut,the applicability of W_(et)^(p) index in UTT was proved and the relative energy storage capacity and absolute energy distribution characteristics of three rocks in UCT and UTT were evaluated.The tensile behavior of marble and sandstone in UTT can be divided into two stages vaguely according to the energy distribution,but granite is not the case.In addition,based on dissipated energy,the damage evolution of three types of rocks in UCT and UTT was discussed.This study provides some new insights for understanding the tensile behavior of rock.
文摘Irbesartan-hydrochlorothiazide is a commonly used antihypertensive drug,but potential adverse reactions such as hypokalemia should not be overlooked.This study analyzes a case of hypokalemia induced by irbesartan-hydrochlorothiazide,exploring the drug’s association with hypokalemia and clinical treatment strategies.The patient experienced symptoms of muscle weakness and palpitations after taking irbesartan-hydrochlorothiazide and was diagnosed with hypokalemia through laboratory tests.Reviewing the patient’s medication history and disease progression,it was hypothesized that the drug’s potassium-wasting effect was the direct cause of the hypokalemia.After discontinuing the medication and initiating potassium supplementation,the patient’s potassium levels returned to normal,and symptoms significantly improved,further confirming the link between hypokalemia and the medication.This case suggests that clinicians should consider the risk of hypokalemia when treating hypertension,especially in patients with chronic kidney disease,the elderly,or those at risk for electrolyte disturbances.For patients who have already developed hypokalemia,potassium supplementation and adjustment of the treatment regimen are recommended to prevent further deterioration.Timely discontinuation of potential causative drugs is also advised.In summary,ensuring medication safety and preventing potential complications has significant clinical importance in recognizing and managing hypokalemia induced by irbesartan-hydrochlorothiazide.Future research should focus on optimizing treatment protocols and developing more effective strategies for preventing and managing related adverse reactions to improve patient quality of life.
文摘Rough set philosophy hinges on the granularity of data, which is used to build all its basic concepts, like approximations, dependencies, reduction etc. Genetic Algorithms provides a general frame to optimize problem solution of complex system without depending on the domain of problem.It is robust to many kinds of problems.The paper combines Genetic Algorithms and rough sets theory to compute granular of knowledge through an example of information table. The combination enable us to compute granular of knowledge effectively.It is also useful for computer auto-computing and information processing.