233 research outputs found

    Improved DICM with an IR camera for Imaging of Strain and Temperature in Cross Section of TO packages

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    Digital image correlation method (DICM) is effective for failure mechanism investigation of power semiconductor packages by obtaining the mechanical strain in the package. In DICM, the displacement and strain are calculated by the images of a random pattern on the surface of the object captured by a camera. We have developed a new DICM system to obtain the mechanical strain and the temperature distributions simultaneously using an infrared camera (IR-DICM). In previous IR-DICMs, the strain observation was limited to high temperatures under constant condition, so that stress location and phase in the power cycle cannot be identified for failure mechanism investigation. In this paper, We successfully demonstrated the IR-DICM on TO-3P package power cycling test and obtained strain and temperature distributions throughout the power cycle using new sample preparation and special image processing algorithm.33rd International Symposium on Power Semiconductor Devices and ICs (ISPSD 2021), 30th of May and 3rd of June, 2021, Full Virtual Conferenc

    Infrared image correlation for thermal stress analysis of power devices

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    Thermal stress analysis is indispensable to improve the reliability of power devices. We propose a technique to observe a temperature distribution and a thermal strain simultaneously for thermal stress analysis of power devices. A temperature distribution is measured by an infrared (IR) camera and a thermal strain is measured by a digital image correlation (DIC) with IR images under a power cycling test. To apply DIC to IR images, we propose techniques to make a random pattern on the surface which can be recognized by IR camera even if a surface temperature is changed. This technique realises an observation with completely same field of view even in a localized area on power devices. This method provides an experimental means to verify simulation results of thermal stress analysis

    Clinical features and outcomes of in-hospital cardiac arrest in code blue events: a retrospective observational study

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    BackgroundIn-hospital cardiac arrest (IHCA) is a critical medical event with outcomes less researched compared to out-of-hospital cardiac arrest. This retrospective observational study aimed to investigate key aspects of IHCA epidemiology and prognosis in patients with Code Blue activation.MethodsThis retrospective observational study enrolled patients with Code Blue events in our hospital between January 2010 and October 2019. Participant characteristics, including age and sex, and IHCA characteristics, including the time of cardiac arrest, witnessed event, bystander cardiopulmonary resuscitation (CPR), initial shockable rhythm, vital signs at 1 and 6 h before IHCA, survival to hospital discharge (SHD), and the cardiac arrest survival postresuscitation in-hospital (CASPRI) score were included in univariate and multivariate logistic regression analyses with SHD as the primary endpoint.ResultsFrom the 293 Code Blue events that were activated during the study period, 81 participants were enrolled. Overall, the SHD rate was 28.4%, the median CPR duration was 14 (interquartile range, 6–28) min, and the rate of initial shockable rhythm was 19.8%. There were significant intergroup differences between the SHD and non-SHD groups in the CPR duration, shockable rhythm, and CASPRI score on univariate logistic regression analysis. Multivariate logistic regression analysis showed that the CASPRI score was the most accurate predictive factor for SHD (OR = 0.98, p = 0.006).ConclusionsThe CASPRI score is associated with SHD in patients with IHCA during Code Blue events. Therefore, the CASPRI score of IHCA patients potentially constitutes a simple, useful adjunctive tool for the management of post-cardiac arrest syndrome

    Recombinant human soluble thrombomodulin is associated with attenuation of sepsisinduced renal impairment by inhibition of extracellular histone release

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    感染症によって重篤な臓器障害が引き起こされて敗血症に至る過程でDAMPs(damage - associated molecular patterns)の関与が注目されている.今回,ヒストンH3に着目し,ラット腹膜炎敗血症モデルを用いてリコンビナントトロンボモジュリン(rhTM)とその抗炎症作用をもつD1がヒストンH3濃度と腎障害に与える影響を検討した.rhTMとD1の投与は,ヒストンH3濃度上昇と血清クレアチニン値上昇を抑制し腎の組織障害が軽減し,生存率改善との関連が示唆された.これらの結果は臨床応用を見据えた場合,rhTMのD1領域が細胞外ヒストンH3蛋白を制御し,敗血症での治療戦略の一つとなる可能性が示唆された
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