1,935 research outputs found
Hypertensive brainstem encephalopathy involving deep supratentorial regions: does only blood pressure matter?
We report on a 42-year-old female patient who presented with high arterial blood pressure of 245/150 mmHg and hypertensive brainstem encephalopathy that involved the brainstem and extensive supratentorial deep gray and white matter. The lesions were nearly completely resolved several days after stabilization of the arterial blood pressure. Normal diffusion-weighted imaging findings and high apparent diffusion coefficient values suggested that the main pathomechanism was vasogenic edema owing to severe hypertension. On the basis of a literature review, the absolute value of blood pressure or whether the patient can control his/her blood pressure seems not to be associated with the degree of the lesions evident on magnetic resonance imaging. It remains to be determined if the acceleration rate and the duration of elevated arterial blood pressure might play a key role in the development of the hypertensive encephalopathy pattern
Container transport network for sustainable development in South Korea
The ever-increasing tendency toward economic globalization highlights the importance of sustainable container transport networks to a country’s international trade, especially for an economy that is highly dependent on exports. This paper aims to develop a transport network connectivity index (TNCI) to measure the container transport connectivity from a multi-modal perspective. The proposed index is based on both graph theory and economics, considering transport infrastructure and capacity, cargo flow, and capacity utilization. Using the case of South Korea as an example, we apply the TNCI to assess the connectivity of the Busan, Gwangyang, and Incheon ports, representing approximately 96% of the container throughput in South Korea. The calculated TNCI not only provides insight into the assessment of sustainable port competitiveness, it also helps policymakers identify bottlenecks in multi-modal transport networks. To eliminate these bottlenecks, this paper offers some appropriate measures and specific strategies for port development, which in turn improves the connectivity of container transport networks for sustainable development
Retrieval of NO2 Column Amounts from Ground-Based Hyperspectral Imaging Sensor Measurements
Total column amounts of NO2 (TCN) were estimated from ground-based hyperspectral imaging sensor (HIS) measurements in a polluted urban area (Seoul, Korea) by applying the radiance ratio fitting method with five wavelength pairs from 400 to 460 nm. We quantified the uncertainty of the retrieved TCN based on several factors. The estimated TCN uncertainty was up to 0.09 Dobson unit (DU), equivalent to 2.687 ?? 1020 molecules m???2) given a 1?? error for the observation geometries, including the solar zenith angle, viewing zenith angle, and relative azimuth angle. About 0.1 DU (6.8%) was estimated for an aerosol optical depth (AOD) uncertainty of 0.01. In addition, the uncertainty due to the NO2 vertical profile was 14% to 22%. Compared with the co-located Pandora spectrophotometer measurements, the HIS captured the temporal variation of the TCN during the intensive observation period. The correlation between the TCN from the HIS and Pandora also showed good agreement, with a slight positive bias (bias: 0.6 DU, root mean square error: 0.7 DU)
Per-Clip Video Object Segmentation
Recently, memory-based approaches show promising results on semi-supervised
video object segmentation. These methods predict object masks frame-by-frame
with the help of frequently updated memory of the previous mask. Different from
this per-frame inference, we investigate an alternative perspective by treating
video object segmentation as clip-wise mask propagation. In this per-clip
inference scheme, we update the memory with an interval and simultaneously
process a set of consecutive frames (i.e. clip) between the memory updates. The
scheme provides two potential benefits: accuracy gain by clip-level
optimization and efficiency gain by parallel computation of multiple frames. To
this end, we propose a new method tailored for the per-clip inference.
Specifically, we first introduce a clip-wise operation to refine the features
based on intra-clip correlation. In addition, we employ a progressive matching
mechanism for efficient information-passing within a clip. With the synergy of
two modules and a newly proposed per-clip based training, our network achieves
state-of-the-art performance on Youtube-VOS 2018/2019 val (84.6% and 84.6%) and
DAVIS 2016/2017 val (91.9% and 86.1%). Furthermore, our model shows a great
speed-accuracy trade-off with varying memory update intervals, which leads to
huge flexibility.Comment: CVPR 2022; Code is available at https://github.com/pkyong95/PCVO
When sex doesn’t sell to men: Mortality salience, disgust and the appeal of products and advertisements featuring sexualized women
Although men typically hold favorable views of advertisements featuring female sexuality, from a Terror Management Theory perspective, this should be less the case when thoughts of human mortality are salient. Two experiments conducted in South Korea supported this hypothesis across a variety of products (e.g., perfume and vodka). Men became more negative towards advertisements featuring female sexuality, and had reduced purchase intentions for those products, after thinking about their own mortality. Study 2 found that these effects were mediated by heightened disgust. Mortality thoughts did not impact women in either study. These findings uniquely demonstrate that thoughts of death interact with female sex-appeal to influence men’s consumer choices, and that disgust mediates these processes. Implications for the role of emotion, and cultural differences, in terror management, for attitudes toward female sexuality, and for marketing strategies are discussed
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