为应对数据中心的能耗及碳排放量显著增加的情况,在全球推进净零排放的大背景下,建立数据中心综合能源系统(Data Center Integrated Energy System,DC-IES)已成为实现数据中心节能减排的重要途径之一。基于此,建立了一种耦合可再生能源...为应对数据中心的能耗及碳排放量显著增加的情况,在全球推进净零排放的大背景下,建立数据中心综合能源系统(Data Center Integrated Energy System,DC-IES)已成为实现数据中心节能减排的重要途径之一。基于此,建立了一种耦合可再生能源、燃气轮机、电制冷机组和吸收式制冷机组的IES系统,提出一种基于NSGA-Ⅱ的两阶段优化方法。第一阶段以考虑碳税在内的年经济成本最低为目标,确定最优设备容量;第二阶段则为直观反映各设备随负荷变化的出力响应,以典型日运行成本和碳排放量最低为双目标进行运行优化。研究结果表明:DC-IES系统中光伏和风电的总出力为24470.36 kW,相当于燃气轮机发电量的103.78%,承担了电负荷的33.01%;优化方案下,全年运行成本较以碳排放量为单目标的优化结果降低了1.3%,约37.45万元,碳排放量较以运行成本为单目标的优化结果减少3.5%,约305.48 t,有效降低了电网购电量及碳排放量,证明了所提方法在经济性和低碳性方面的优越性。展开更多
Fairness is a fundamental value in human societies,with individuals concerned about unfairness both to themselves and to others.Nevertheless,an enduring debate focuses on whether self-unfairness and other-unfairness e...Fairness is a fundamental value in human societies,with individuals concerned about unfairness both to themselves and to others.Nevertheless,an enduring debate focuses on whether self-unfairness and other-unfairness elicit shared or distinct neuropsychological processes.To address this,we combined a three-person ultimatum game with computational modeling and advanced neuroimaging analysis techniques to unravel the behavioral,cognitive,and neural patterns underlying unfairness to self and others.Our behavioral and computational results reveal a heightened concern among participants for self-unfairness over other-unfairness.Moreover,self-unfairness consistently activates brain regions such as the anterior insula,dorsal anterior cingulate cortex,and dorsolateral prefrontal cortex,spanning various spatial scales that encompass univariate activation,local multivariate patterns,and whole-brain multivariate patterns.These regions are well-established in their association with emotional and cognitive processes relevant to fairness-based decision-making.Conversely,other-unfairness primarily engages the middle occipital gyrus.Collectively,our findings robustly support distinct neurocomputational signatures between self-unfairness and other-unfairness.展开更多
Low-light images suffer from low quality due to poor lighting conditions,noise pollution,and improper settings of cameras.To enhance low-light images,most existing methods rely on normal-light images for guidance but ...Low-light images suffer from low quality due to poor lighting conditions,noise pollution,and improper settings of cameras.To enhance low-light images,most existing methods rely on normal-light images for guidance but the collection of suitable normal-light images is difficult.In contrast,a self-supervised method breaks free from the reliance on normal-light data,resulting in more convenience and better generalization.Existing self-supervised methods primarily focus on illumination adjustment and design pixel-based adjustment methods,resulting in remnants of other degradations,uneven brightness and artifacts.In response,this paper proposes a self-supervised enhancement method,termed as SLIE.It can handle multiple degradations including illumination attenuation,noise pollution,and color shift,all in a self-supervised manner.Illumination attenuation is estimated based on physical principles and local neighborhood information.The removal and correction of noise and color shift removal are solely realized with noisy images and images with color shifts.Finally,the comprehensive and fully self-supervised approach can achieve better adaptability and generalization.It is applicable to various low light conditions,and can reproduce the original color of scenes in natural light.Extensive experiments conducted on four public datasets demonstrate the superiority of SLIE to thirteen state-of-the-art methods.Our code is available at https://github.com/hanna-xu/SLIE.展开更多
Male sexual behavior is an innate social behavior crucial for reproduction[1].Previous studies have identified several brain regions crucial for the control of both sexual and aggressive behaviors in males.Yet,molecul...Male sexual behavior is an innate social behavior crucial for reproduction[1].Previous studies have identified several brain regions crucial for the control of both sexual and aggressive behaviors in males.Yet,molecularly specified neural circuits that specifically control male sexual behavior remain elusive.Consistent with the inherently rewarding nature of sexual behavior,previous research has implicated the role of the dopamine system in regulating sexual desire[2].However,the interaction between reward and copulation at the circuit level remains largely unexplored.Besides,it is unclear if the associated neural pathways are specific in modulating sexual reward.展开更多
文摘为应对数据中心的能耗及碳排放量显著增加的情况,在全球推进净零排放的大背景下,建立数据中心综合能源系统(Data Center Integrated Energy System,DC-IES)已成为实现数据中心节能减排的重要途径之一。基于此,建立了一种耦合可再生能源、燃气轮机、电制冷机组和吸收式制冷机组的IES系统,提出一种基于NSGA-Ⅱ的两阶段优化方法。第一阶段以考虑碳税在内的年经济成本最低为目标,确定最优设备容量;第二阶段则为直观反映各设备随负荷变化的出力响应,以典型日运行成本和碳排放量最低为双目标进行运行优化。研究结果表明:DC-IES系统中光伏和风电的总出力为24470.36 kW,相当于燃气轮机发电量的103.78%,承担了电负荷的33.01%;优化方案下,全年运行成本较以碳排放量为单目标的优化结果降低了1.3%,约37.45万元,碳排放量较以运行成本为单目标的优化结果减少3.5%,约305.48 t,有效降低了电网购电量及碳排放量,证明了所提方法在经济性和低碳性方面的优越性。
基金supported by the National Natural Science Foundation of China (32271126 and 31920103009)the Natural Science Foundation of Guangdong Province (2021A1515010746)+1 种基金the Major Project of National Social Science Foundation (20&ZD153)Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions (2023SHIBS0003).
文摘Fairness is a fundamental value in human societies,with individuals concerned about unfairness both to themselves and to others.Nevertheless,an enduring debate focuses on whether self-unfairness and other-unfairness elicit shared or distinct neuropsychological processes.To address this,we combined a three-person ultimatum game with computational modeling and advanced neuroimaging analysis techniques to unravel the behavioral,cognitive,and neural patterns underlying unfairness to self and others.Our behavioral and computational results reveal a heightened concern among participants for self-unfairness over other-unfairness.Moreover,self-unfairness consistently activates brain regions such as the anterior insula,dorsal anterior cingulate cortex,and dorsolateral prefrontal cortex,spanning various spatial scales that encompass univariate activation,local multivariate patterns,and whole-brain multivariate patterns.These regions are well-established in their association with emotional and cognitive processes relevant to fairness-based decision-making.Conversely,other-unfairness primarily engages the middle occipital gyrus.Collectively,our findings robustly support distinct neurocomputational signatures between self-unfairness and other-unfairness.
基金supported by the National Natural Science Foundation of China(62276192)。
文摘Low-light images suffer from low quality due to poor lighting conditions,noise pollution,and improper settings of cameras.To enhance low-light images,most existing methods rely on normal-light images for guidance but the collection of suitable normal-light images is difficult.In contrast,a self-supervised method breaks free from the reliance on normal-light data,resulting in more convenience and better generalization.Existing self-supervised methods primarily focus on illumination adjustment and design pixel-based adjustment methods,resulting in remnants of other degradations,uneven brightness and artifacts.In response,this paper proposes a self-supervised enhancement method,termed as SLIE.It can handle multiple degradations including illumination attenuation,noise pollution,and color shift,all in a self-supervised manner.Illumination attenuation is estimated based on physical principles and local neighborhood information.The removal and correction of noise and color shift removal are solely realized with noisy images and images with color shifts.Finally,the comprehensive and fully self-supervised approach can achieve better adaptability and generalization.It is applicable to various low light conditions,and can reproduce the original color of scenes in natural light.Extensive experiments conducted on four public datasets demonstrate the superiority of SLIE to thirteen state-of-the-art methods.Our code is available at https://github.com/hanna-xu/SLIE.
基金supported by grants from the National Natural Science Foundation of China(32125018 and 32071005)the National Key Research and Development Program of China(2021YFA1101701)+2 种基金the Fundamental Research Funds for the Central Universities,the Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences(2023-PT310-01)the MOE Frontiers Science Center for Brain Science&Brain-Machine Integration of Zhejiang University,the Innovative Research Team of High-level Local Universities in Shanghai(SHSMU-ZDCX20211102)the Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences(2023-PT310-01).
文摘Male sexual behavior is an innate social behavior crucial for reproduction[1].Previous studies have identified several brain regions crucial for the control of both sexual and aggressive behaviors in males.Yet,molecularly specified neural circuits that specifically control male sexual behavior remain elusive.Consistent with the inherently rewarding nature of sexual behavior,previous research has implicated the role of the dopamine system in regulating sexual desire[2].However,the interaction between reward and copulation at the circuit level remains largely unexplored.Besides,it is unclear if the associated neural pathways are specific in modulating sexual reward.
