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Laura Pozzi 고려대학교 민족문화연구원 2014 Cross-Currents Vol.- No.13
During the War of Resistance against Japan (1937–1945), children were a major subject of propaganda images. Children had become significant figures in China when May Fourth intellectuals, influenced by evolutionary thinking, deemed “the child” as a central figure for the modernization of the country. Consequently, during the war, cartoonists employed alreadyestablished representations of children for propagandistic purposes. By analyzing images published by members of the Cartoon Propaganda Corps in the wartime magazine Resistance Cartoons, this article shows how portrayals of children fulfilled symbolic as well as normative functions. These images provide us with information about the symbolic power of representations of children, and about authorities’ expectations of China’s youngest citizens. However, cartoonists also created images undermining the heroic rhetoric often attached to representations of children, especially after the dismissal of the Cartoon Propaganda Corps in 1940. This was the case with cartoonist Zhang Leping’s (1910–1992) sketches of “Zhuji after the Devastation,” which revealed the discrepancies between propagandistic representations and children’s everyday life in wartime China.
Escot, Pozzi 漢陽大學校 音樂硏究所 1996 音樂論壇 Vol.10 No.-
음악을 논할 때에 있어서, 우리는 우선 먼저 음악 듣는 실제적인 경험을 생각하게 됩니다. 그러나 사실은, 음악은 필연적으로 즐거움과 지적 의욕의 측면에서 경험의 타당성을 위해 헌신하는 음악에서 보여지는 여러 가지 종류의 비율들이 쌓아진 것입니다. 음악 작품에서 모든 가능한 요구들을 기대하지 않게 접촉하게 될 때에, 바로 그러한 즐거움과 지적 의욕이 생길 것입니다. 가끔씩 음악의 매개변수 구조(para-meter-structure)에 내재해 있는 관계들을 발견해 낼 때에는 종종 경탄을 금치 못할 때가 있습니다. 우리는 가장 복합적인 결합이 가장 만족스러운 감동을 일으킨다는 것을 잘 알고 있습니다. <할데가르트 폰 빙겐> 의 [안티폰]과 <쇼팽>의 [전주곡], <베베른>의 [첼로와 피아노를 위한 소품], 그리고 <배빗>의 피아노를 위한 [2중주}는 모든 음향의 복합성을 충족시켜 주는 작품이며 우리에게 수학적 시흥을 가져다 주고 있습니다. 음악평론가인 <대니엘 웹스트>가 말했듯이 이들 작품은 "수학의 아름다움과 맥을 같이 하고 있다"고 하겠습니다.
Matteo Pozzi,Qiaochu Wang 대한토목학회 2018 KSCE Journal of Civil Engineering Vol.22 No.3
We illustrate how methods for non-parametric regression and classification based on Gaussian Processes can be adapted for inferring the condition state of infrastructure components under spatially distributed stressors. When the stressor is modeled by a random field, observations collected in one location can reduce the uncertainty about the stressor intensity also in other locations. Exact inference is possible when the field is Gaussian and observations are perfect or affected by Gaussian noise. However, often the available observations are binary, as those related to the failure or survival of components, and indicate whether the local field is above or below a threshold whose value may also be uncertain. While no efficient scheme for exact inference is available in that setting, we can perform efficient approximate inference when the field is Gaussian and so is the uncertainty on the threshold value. The mathematical formulation for this problem is analogous to that of classification in machine learning, that can be based on latent Gaussian processes. We show how to formulate the problem and how to adapt deterministic methods, as Laplace’s method and Expectation Propagation, and methods based on random number generation, as Monte Carlo uniform sampling and importance sampling, to perform approximate inference. Our illustrative application is the condition assessment of assets exposed to a seismic event. Under specific assumptions, the seismic demand can be modeled as a Gaussian random field, and measures about the demand and about the survival and failure of assets can be processed globally, to update the risk assessment. Specifically, we evaluate methods for approximate inference and discuss their merits.
Agostino, Pozzi,Angelo, Della Corte,el Lakis, Mustapha A,Heon-Jae, Jeong Asian Pacific Journal of Cancer Prevention 2016 Asian Pacific journal of cancer prevention Vol.17 No.7
Digital breast tomosynthesis (DBT) as a breast cancer screening modality, through generation of three-dimensional images during standard mammographic compression, can reduce interference from breast tissue overlap, increasing conspicuity of invasive cancers while concomitantly reducing false-positive results. We here conducted a systematic review on previous studies to synthesize the evidence of DBT efficacy, eventually 18 articles being included in the analysis. The most commonly emerging topics were advantages of DBT screening tool in terms of recall rates, cancer detection rates and cost-effectiveness, preventing unnecessary burdens on women and the healthcare system. Further research is needed to evaluate the potential impact of DBT on longer-term outcomes, such as interval cancer rates and mortality, to better understand the broader clinical and economic implications of its adoption.
The remarkable story of Portogruaro Civic Tower's probabilistic health monitoring
Zonta, Daniele,Pozzi, Matteo Techno-Press 2015 Structural monitoring and maintenance Vol.2 No.4
This is the story of a bell-tower and its monitoring. The Civic Tower in Portogruaro is a 59 m high masonry bell-tower, originally built in the XIII century, today leaning more than a meter out of plumb. Since 2003, the building inclination has been continuously monitored with an optical inclinometer in an effort to see whether the tilt is still in progress. When the monitoring started, it was thought highly unlikely that the Tower would tilt further. After three years of monitoring and historical investigation, this idea was completely overturned. We show here how the initial view developed to a final awareness via a probabilistic analysis of the information acquired, based on Bayesian logic. We illustrate how the joint use of instrumental monitoring and historical documentation allowed timely recognition of signs of ongoing tilting and accurate calculation not only of the mean inclination trend, but also the credibility of this information.
Performance evaluation of smart prefabricated concrete elements
Zonta, Daniele,Pozzi, Matteo,Bursi, Oreste S. Techno-Press 2007 Smart Structures and Systems, An International Jou Vol.3 No.4
This paper deals with the development of an innovative distributed construction system based on smart prefabricated concrete elements for the real-time condition assessment of civil infrastructure. So far, two reduced-scale prototypes have been produced, each consisting of a $0.2{\times}0.3{\times}5.6$ m RC beam specifically designed for permanent instrumentation with 8 long-gauge Fiber Optic Sensors (FOS) at the lower edge. The sensing system is Fiber Bragg Grating (FBG)-based and can measure finite displacements both static and dynamic with a sample frequency of 625 Hz per channel. The performance of the system underwent validation in the laboratory. The scope of the experiment was to correlate changes in the dynamic response of the beams with different damage scenarios, using a direct modal strain approach. Each specimen was dynamically characterized in the undamaged state and in various damage conditions, simulating different cracking levels and recurrent deterioration scenarios, including cover spalling and corrosion of the reinforcement. The location and the extent of damage are evaluated by calculating damage indices which take account of changes in frequency and in strain-mode-shapes. The outcomes of the experiment demonstrate how the damage distribution detected by the system is fully compatible with the damage extent appraised by inspection.