We show that the real existence of quantum-events, resulting from spontaneously broken unitary-evolution by quantum-transactions, can explain the dynamic metric of space-time, governed by Einstein’s equation, if ligh...We show that the real existence of quantum-events, resulting from spontaneously broken unitary-evolution by quantum-transactions, can explain the dynamic metric of space-time, governed by Einstein’s equation, if light-clocks are being used to measure the rhythm of events. In the derivation of Einstein’s equation there naturally arises a term for a cosmological constant <span style="white-space:nowrap;">Λ</span>.展开更多
Objectives: It is often stressed that anxiety alters perceptions of the world by way of processes like the rapid detection of threats and the exaggeration of risks. Given that these processes are active during all inf...Objectives: It is often stressed that anxiety alters perceptions of the world by way of processes like the rapid detection of threats and the exaggeration of risks. Given that these processes are active during all information processing, they are thought to influence not only the interpretation of current events, but also the recall of past events. In patient’s anamnesis, we have often attempted to incorporate the events that patients recollect into our functional explanation of their disorder, forgetting that the meaning of what a patient relates may be intrinsically linked to his/her pathology and pathological functioning. We are interested here in potential biases in the events remembered by anxious patients. Methods: We contacted twenty-seven men aged 25 or older suffering from generalized anxiety disorder. They were asked to recollect childhood events from cue words and then rate each remembered event on its subjective emotional valence and intensity, its frequency of recollection, and the vividness of the memory. The responses of the anxious subjects were compared to those of control subjects without psychiatric disorders. Results: Findings seem to show that anxious patients’ memories of childhood events may be impaired by emotional interpretation biases. Indeed, anxious patients remember more negative events than participants in the control group. The emotional intensity of negative or positive events remembered by anxious patients is also considered more important.展开更多
This article demonstrates how currently available digital elevation (NASA SRTM;30 m resolution) and hourly global precipitation data (rain, snow;5 and 10 km resolution) can be used to hydrographically quantify the reg...This article demonstrates how currently available digital elevation (NASA SRTM;30 m resolution) and hourly global precipitation data (rain, snow;5 and 10 km resolution) can be used to hydrographically quantify the regional watershed management context across northern Chile. This is done through comprehensive derivations of flow direction, flow accumulation, flow channels, floodplain extent, depressions, and upslope watershed outlines. In turn, these derivations allow for estimating potential precipitation accumulations within any watershed, and turn these into subsequent storm-averaged discharge estimates at, e.g., at any road—flow-channel crossing points. This article elaborates on this by modelling and mapping hydrological conditions and subsequent storm damage at the regional scale and at select locations in terms of recent flood events on March 2015, May 2017, and June 2017. It was found that modelled flood extent and storm-estimated discharge volumes and rates generally conform to reported values including storm-caused damages within communities along the Huasco, Elqui, Limari, Copiapó and Salado rivers. This included the storm response assessment of six water reservoirs as these varied, as quantified, from normal (Puclaro, La Laguna, Cogoti), at capacity (La Paloma, Cogoli), and overflowing (Recoleta). The details of the local to regional assessments are presented in the form hydrologically explicit maps, figures and tables. Together, these attest to the general validity of the framework as introduced. Hydrometrically based stream-discharge calibrations would assist in further refining the approach, especially in terms of estimating local to regional run-off coefficients.展开更多
采用2016—2020年福建台网所记录的爆破和天然地震事件以及背景噪声数据集,使用CNN模型、Inception10模型、ResNet18模型和Vgg16模型4种深度学习网络模型进行分类研究。针对深度学习网络模型的“黑盒”问题,将梯度类激活映射(Gradient-w...采用2016—2020年福建台网所记录的爆破和天然地震事件以及背景噪声数据集,使用CNN模型、Inception10模型、ResNet18模型和Vgg16模型4种深度学习网络模型进行分类研究。针对深度学习网络模型的“黑盒”问题,将梯度类激活映射(Gradient-weighted Class Activation Mapping,Grad-CAM)算法引入这4种分类模型中,得到每个模型的可视化图。通过可视化图可以直观地看出模型在做出分类决策时对于不同波形特征的依赖权重,为模型的可解释性提供依据,进而提高模型的可信度。通过对模型的可视化图分析得出,分类效果更好的CNN模型和Vgg16模型在做出决策时更依赖于地震波形的震相特征,对于震前和震后的波段关注较小;而ResNet18模型和Inception10模型对于震相特征的关注不够敏锐。通过Grad-CAM算法对模型进行可视化分析得到的结果能够很好地反映模型的分类效果,对于改进和选择合适的分类模型具有重要意义。展开更多
文摘We show that the real existence of quantum-events, resulting from spontaneously broken unitary-evolution by quantum-transactions, can explain the dynamic metric of space-time, governed by Einstein’s equation, if light-clocks are being used to measure the rhythm of events. In the derivation of Einstein’s equation there naturally arises a term for a cosmological constant <span style="white-space:nowrap;">Λ</span>.
文摘Objectives: It is often stressed that anxiety alters perceptions of the world by way of processes like the rapid detection of threats and the exaggeration of risks. Given that these processes are active during all information processing, they are thought to influence not only the interpretation of current events, but also the recall of past events. In patient’s anamnesis, we have often attempted to incorporate the events that patients recollect into our functional explanation of their disorder, forgetting that the meaning of what a patient relates may be intrinsically linked to his/her pathology and pathological functioning. We are interested here in potential biases in the events remembered by anxious patients. Methods: We contacted twenty-seven men aged 25 or older suffering from generalized anxiety disorder. They were asked to recollect childhood events from cue words and then rate each remembered event on its subjective emotional valence and intensity, its frequency of recollection, and the vividness of the memory. The responses of the anxious subjects were compared to those of control subjects without psychiatric disorders. Results: Findings seem to show that anxious patients’ memories of childhood events may be impaired by emotional interpretation biases. Indeed, anxious patients remember more negative events than participants in the control group. The emotional intensity of negative or positive events remembered by anxious patients is also considered more important.
文摘This article demonstrates how currently available digital elevation (NASA SRTM;30 m resolution) and hourly global precipitation data (rain, snow;5 and 10 km resolution) can be used to hydrographically quantify the regional watershed management context across northern Chile. This is done through comprehensive derivations of flow direction, flow accumulation, flow channels, floodplain extent, depressions, and upslope watershed outlines. In turn, these derivations allow for estimating potential precipitation accumulations within any watershed, and turn these into subsequent storm-averaged discharge estimates at, e.g., at any road—flow-channel crossing points. This article elaborates on this by modelling and mapping hydrological conditions and subsequent storm damage at the regional scale and at select locations in terms of recent flood events on March 2015, May 2017, and June 2017. It was found that modelled flood extent and storm-estimated discharge volumes and rates generally conform to reported values including storm-caused damages within communities along the Huasco, Elqui, Limari, Copiapó and Salado rivers. This included the storm response assessment of six water reservoirs as these varied, as quantified, from normal (Puclaro, La Laguna, Cogoti), at capacity (La Paloma, Cogoli), and overflowing (Recoleta). The details of the local to regional assessments are presented in the form hydrologically explicit maps, figures and tables. Together, these attest to the general validity of the framework as introduced. Hydrometrically based stream-discharge calibrations would assist in further refining the approach, especially in terms of estimating local to regional run-off coefficients.
文摘采用2016—2020年福建台网所记录的爆破和天然地震事件以及背景噪声数据集,使用CNN模型、Inception10模型、ResNet18模型和Vgg16模型4种深度学习网络模型进行分类研究。针对深度学习网络模型的“黑盒”问题,将梯度类激活映射(Gradient-weighted Class Activation Mapping,Grad-CAM)算法引入这4种分类模型中,得到每个模型的可视化图。通过可视化图可以直观地看出模型在做出分类决策时对于不同波形特征的依赖权重,为模型的可解释性提供依据,进而提高模型的可信度。通过对模型的可视化图分析得出,分类效果更好的CNN模型和Vgg16模型在做出决策时更依赖于地震波形的震相特征,对于震前和震后的波段关注较小;而ResNet18模型和Inception10模型对于震相特征的关注不够敏锐。通过Grad-CAM算法对模型进行可视化分析得到的结果能够很好地反映模型的分类效果,对于改进和选择合适的分类模型具有重要意义。
