随着全球人口老龄化进程的推进,前列腺癌的发病率和死亡率逐年上升,已引起了社会各界的广泛关注。基于合成致死策略,美国食品药品监督管理局(Food and Drug Administration, FDA)近年来已相继批准了多项多聚腺苷二磷酸核糖聚合酶(poly A...随着全球人口老龄化进程的推进,前列腺癌的发病率和死亡率逐年上升,已引起了社会各界的广泛关注。基于合成致死策略,美国食品药品监督管理局(Food and Drug Administration, FDA)近年来已相继批准了多项多聚腺苷二磷酸核糖聚合酶(poly ADP-ribose polymerase, PARP)抑制剂,用于转移性去势抵抗性前列腺癌(metastatic castration-resistant prostate cancer,mCRPC)的治疗。这一进展极大地激发了学者们对新型合成致死组合——共济失调毛细血管扩张突变(ataxia telangiectasia-mutated, ATM)基因/共济失调毛细血管扩张和Rad3相关激酶(ataxia telangiectasia and Rad3-related protein,ATR)的研究兴趣。在DNA损伤修复通路中,ATM激酶主要参与DNA双链断裂的修复,而激酶ATR则在DNA单链断裂的修复过程中发挥重要作用,并起到积极的调控作用。ATR抑制剂被认为是继PARP抑制剂之后,最具前景的合成致死靶向药物之一,有望成为ATM基因突变患者的潜在新型治疗药物。然而,目前关于ATR抑制剂在前列腺癌治疗领域的临床研究数据尚显不足。因此,深入理解ATM/ATR激酶组合的合成致死机制,对于推进前列腺癌的精准治疗具有至关重要的意义。展开更多
International freedom of the air(traffic rights)is a key resource for airlines to carry out international air transport business.An efficient and reasonable traffic right resource allocation within a country between a...International freedom of the air(traffic rights)is a key resource for airlines to carry out international air transport business.An efficient and reasonable traffic right resource allocation within a country between airlines can affect the quality of a country’s participation in international air transport.In this paper,a multi-objective mixed-integer programming model for traffic rights resource allocation is developed to minimize passenger travel mileages and maximize the number of traffic rights resources allocated to hub airports and competitive carriers.A hybrid heuristic algorithm combining the genetic algorithm and the variable neighborhood search is devised to solve the model.The results show that the optimal allocation scheme aligns with the principle of fairness,indicating that the proposed model can play a certain guiding role in and provide an innovative perspective on traffic rights resource allocation in various countries.展开更多
分析初中英语阅读教学瓶颈。阐述图式理论与ATR学习模式的内涵,并优化基于图式理论的ATR学习模式,即通过激活、积累、调试、重建、延展教学活动设计,实现知识结构化学习与迁移运用,最终实现知识、能力、素养的螺旋提升。以人教版初中《...分析初中英语阅读教学瓶颈。阐述图式理论与ATR学习模式的内涵,并优化基于图式理论的ATR学习模式,即通过激活、积累、调试、重建、延展教学活动设计,实现知识结构化学习与迁移运用,最终实现知识、能力、素养的螺旋提升。以人教版初中《英语》八年级(下)Unit 7 What is the highest mountain in the world? Section A 3a—3c为例,围绕语篇Qomolangma—the most Dangerous mountain in the world探究ATR学习模式促进学生阅读的途径。展开更多
Side-scan sonar(SSS)is essential for acquiring high-resolution seafloor images over large areas,facilitat-ing the identification of subsea objects.However,military security restrictions and the scarcity of subsea targ...Side-scan sonar(SSS)is essential for acquiring high-resolution seafloor images over large areas,facilitat-ing the identification of subsea objects.However,military security restrictions and the scarcity of subsea targets limit the availability of SSS data,posing challenges for Automatic Target Recognition(ATR)research.This paper presents an approach that uses Cycle-Consistent Generative Adversarial Networks(CycleGAN)to augment SSS images of key subsea objects,such as shipwrecks,aircraft,and drowning victims.The process begins by constructing 3D models to generate rendered images with realistic shadows frommultiple angles.To enhance image quality,a shadowextractor and shadow region loss function are introduced to ensure consistent shadowrepresentation.Additionally,amulti-resolution learning structure enables effective training,even with limited data availability.The experimental results show that the generated data improved object detection accuracy when they were used for training and demonstrated the ability to generate clear shadow and background regions with stability.展开更多
基金supported by the National Natural Science Foundation of Chinathe Civil Aviation Administration of China (U2333206).
文摘International freedom of the air(traffic rights)is a key resource for airlines to carry out international air transport business.An efficient and reasonable traffic right resource allocation within a country between airlines can affect the quality of a country’s participation in international air transport.In this paper,a multi-objective mixed-integer programming model for traffic rights resource allocation is developed to minimize passenger travel mileages and maximize the number of traffic rights resources allocated to hub airports and competitive carriers.A hybrid heuristic algorithm combining the genetic algorithm and the variable neighborhood search is devised to solve the model.The results show that the optimal allocation scheme aligns with the principle of fairness,indicating that the proposed model can play a certain guiding role in and provide an innovative perspective on traffic rights resource allocation in various countries.
文摘分析初中英语阅读教学瓶颈。阐述图式理论与ATR学习模式的内涵,并优化基于图式理论的ATR学习模式,即通过激活、积累、调试、重建、延展教学活动设计,实现知识结构化学习与迁移运用,最终实现知识、能力、素养的螺旋提升。以人教版初中《英语》八年级(下)Unit 7 What is the highest mountain in the world? Section A 3a—3c为例,围绕语篇Qomolangma—the most Dangerous mountain in the world探究ATR学习模式促进学生阅读的途径。
基金supported by the National Research Foundation of Korea(NRF)grant funded by the Korea government(MSIT)(No.RS-2024-00334159)the Korea Institute of Ocean Science and Technology(KIOST)project entitled“Development of Maritime Domain Awareness Technology for Sea Power Enhancement”(PEA0332).
文摘Side-scan sonar(SSS)is essential for acquiring high-resolution seafloor images over large areas,facilitat-ing the identification of subsea objects.However,military security restrictions and the scarcity of subsea targets limit the availability of SSS data,posing challenges for Automatic Target Recognition(ATR)research.This paper presents an approach that uses Cycle-Consistent Generative Adversarial Networks(CycleGAN)to augment SSS images of key subsea objects,such as shipwrecks,aircraft,and drowning victims.The process begins by constructing 3D models to generate rendered images with realistic shadows frommultiple angles.To enhance image quality,a shadowextractor and shadow region loss function are introduced to ensure consistent shadowrepresentation.Additionally,amulti-resolution learning structure enables effective training,even with limited data availability.The experimental results show that the generated data improved object detection accuracy when they were used for training and demonstrated the ability to generate clear shadow and background regions with stability.
