Studies were performed on female WJ rats.Hindquarter vascular resishatc(HVR)inrats 8￣11 weeks after left coronary thery occluslou was measured.Animal model of perfusedhindquarter with its own blood by pump control wa...Studies were performed on female WJ rats.Hindquarter vascular resishatc(HVR)inrats 8￣11 weeks after left coronary thery occluslou was measured.Animal model of perfusedhindquarter with its own blood by pump control was used.The results showed:①OHVR in rats withmyocardial infarction(MI)rose;②HVR in rats with small myocards inflect size decreased afterlumbar sympethatic chain(LSC)denervation;③HVR in rats with large myocardial infarct size didnot change obviously after LSC denervation. Therefore,neuregenic influence Predominated in mechanism of eleretion of HVR in myoardial infarct rats.展开更多
This study examines the electrical resistivity of metals and binary,ternary alloy thin films across a broad range of compositions and microstructures through data-driven approaches.Electrical resistivity values for ov...This study examines the electrical resistivity of metals and binary,ternary alloy thin films across a broad range of compositions and microstructures through data-driven approaches.Electrical resistivity values for over 70,000 alloy compositions were measured through high-throughput experiments on combinatorially synthesized specimens.A machine learning prediction model was developed,and an explainable artificial intelligence(XAI)algorithm was utilized to identify the key features influencing electrical resistivity.The results demonstrate that the average valence electron concentration(VECavg)is the most significant descriptor governing the electrical resistivity of these alloys.Electronegativity difference(ΔEN)and mixing entropy(ΔS)were identified as collaborative features contributing to resistivity.The relationships between these features and resistivity are discussed in the context of traditional theoretical frameworks to provide a comprehensive understanding of the electrical behavior of alloys.展开更多
Sepsis,defined as life-threatening organ dysfunction caused by a dysregulated host response to infection,remains a major challenge in critical care and a leading cause of mortality worldwide.Early,appropriate antibiot...Sepsis,defined as life-threatening organ dysfunction caused by a dysregulated host response to infection,remains a major challenge in critical care and a leading cause of mortality worldwide.Early,appropriate antibiotic administration is among the most effective strategies to improve outcomes,making optimization of antimicrobial therapy a priority.Optimal antibiotic therapy is the careful selection of the agent and dosing regimen that optimizes outcomes while minimizing adverse effects and antimicrobial resistance.Yet,paradoxically,dosing regimens in sepsis often rely on standardized protocols that overlook fundamental biological variables such as sex and gender,as well as intersecting factors like socioeconomic status,ethnicity,and access to care.[1]This omission compromises efficacy and perpetuates clinical inequalities.展开更多
文摘Studies were performed on female WJ rats.Hindquarter vascular resishatc(HVR)inrats 8￣11 weeks after left coronary thery occluslou was measured.Animal model of perfusedhindquarter with its own blood by pump control was used.The results showed:①OHVR in rats withmyocardial infarction(MI)rose;②HVR in rats with small myocards inflect size decreased afterlumbar sympethatic chain(LSC)denervation;③HVR in rats with large myocardial infarct size didnot change obviously after LSC denervation. Therefore,neuregenic influence Predominated in mechanism of eleretion of HVR in myoardial infarct rats.
基金supported by the Basic Science Research Program and Creative Materials Discovery Program through the National Research Foundation of Korea(NRF)funded by Ministry of Science and ICT(2020M3D1A1016092)Samsung Research Funding&Incubation Center of Samsung Electronics(SRFC-MA2202-01)+1 种基金Samsung Electronics Co.,Ltd.(IO201211-08077-01)the Institute of Information&Communications Technology Planning&Evaluation(IITP),grant funded by the Korea government(MSIT)under Grant No.RS-2025-02306043.
文摘This study examines the electrical resistivity of metals and binary,ternary alloy thin films across a broad range of compositions and microstructures through data-driven approaches.Electrical resistivity values for over 70,000 alloy compositions were measured through high-throughput experiments on combinatorially synthesized specimens.A machine learning prediction model was developed,and an explainable artificial intelligence(XAI)algorithm was utilized to identify the key features influencing electrical resistivity.The results demonstrate that the average valence electron concentration(VECavg)is the most significant descriptor governing the electrical resistivity of these alloys.Electronegativity difference(ΔEN)and mixing entropy(ΔS)were identified as collaborative features contributing to resistivity.The relationships between these features and resistivity are discussed in the context of traditional theoretical frameworks to provide a comprehensive understanding of the electrical behavior of alloys.
文摘Sepsis,defined as life-threatening organ dysfunction caused by a dysregulated host response to infection,remains a major challenge in critical care and a leading cause of mortality worldwide.Early,appropriate antibiotic administration is among the most effective strategies to improve outcomes,making optimization of antimicrobial therapy a priority.Optimal antibiotic therapy is the careful selection of the agent and dosing regimen that optimizes outcomes while minimizing adverse effects and antimicrobial resistance.Yet,paradoxically,dosing regimens in sepsis often rely on standardized protocols that overlook fundamental biological variables such as sex and gender,as well as intersecting factors like socioeconomic status,ethnicity,and access to care.[1]This omission compromises efficacy and perpetuates clinical inequalities.
