Dynamics of the sounds caused by partially occluded femoral arteries in dogs

1994 ◽  
Vol 22 (5) ◽  
pp. 493-500 ◽  
Author(s):  
Y. M. Akay ◽  
M. Akay ◽  
W. Welkowitz ◽  
S. Lewkowicz ◽  
Y. Palti
Keyword(s):  
Femoral Arteries ◽  
Partially Occluded

Recognition of partially occluded 3D objects

1989 ◽  
Vol 136 (2) ◽  
pp. 124
Author(s):  
Ming-Hong Chan ◽  
Hung-Tat Tsui
Keyword(s):  
3D Objects ◽  
Partially Occluded

Effect of Ridogrel on Vascular Contractions Gaused by Vasoactive Substances Released during Platelet Activation

1990 ◽  
Vol 64 (01) ◽  
pp. 091-096 ◽  
Author(s):  
W J Janssens ◽  
F J S Cools ◽  
L A M Hoskens ◽  
J M Van Nueten
Keyword(s):  
Smooth Muscle ◽  
Blood Vessel ◽  
Platelet Activation ◽  
Prostaglandin F2α ◽  
Thromboxane A2 ◽  
Femoral Arteries ◽  
Vasoactive Substances ◽  
Caudal Artery ◽  
Isolated Rat ◽  
Rat Platelets

SummaryRidogrel (6.3 × 10−6 to 10−4 M) inhibited contractions of isolated rat caudal arteries and rabbit femoral arteries caused by U-46619. The slope of an Arunlakshana-Schild plot (pA2-value: 3.4 × 10−6 M) on the caudal artery was slightly higher than one (1.14). This effect was maximal within}D min of incubation of the blood vessel with the compound and easily reversible. Ridogrel antagonised contractions of isolated rabbit femoral arteries caused by prostaglandin Fzo2α in the same concentration range. Ridogrel also inhibited contractions induced by aggregating rat platelets on isolated rat caudal arteries (itt the presence of ketanserin 4 × 10−7 M) and on isolated rabbit pulmonary and femoral arteries (in the absence of ketanserin). Ridogrel had no effect on Ca2+-induced contractions in depolarised isolated rabbit femoral arteries, and at 10−4 M antagonised serotonin-induced contractions in this blood vessel. Its effect on serotonin-induced contractions was statistically significant but very small on isolated rat caudal arteries. These observations indicate that ridogrel is an antagonist of prostaglandin endoperoxide/thromboxane A2 and prostaglandin F2α raCeptors on vascular smooth muscle.

Paradoxical Arterial Wall Shrinkage May Contribute to Luminal Narrowing of Human Atherosclerotic Femoral Arteries

Circulation ◽  
1995 ◽  
Vol 91 (5) ◽  
pp. 1444-1449 ◽  
Author(s):  
Gerard Pasterkamp ◽  
Peter J. W. Wensing ◽  
Mark J. Post ◽  
Berend Hillen ◽  
Willem P. T. M. Mali ◽  
...  
Keyword(s):  
Arterial Wall ◽  
Femoral Arteries ◽  
Luminal Narrowing

scholarly journals The COVID-19 pandemic masks the way people perceive faces

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Erez Freud ◽  
Andreja Stajduhar ◽  
R. Shayna Rosenbaum ◽  
Galia Avidan ◽  
Tzvi Ganel
Keyword(s):  
Social Interactions ◽  
Face Perception ◽  
Face Processing ◽  
Qualitative Change ◽  
Daily Activities ◽  
Human Face ◽  
Human Face Recognition ◽  
Processing Abilities ◽  
Partially Occluded ◽  
The Way

AbstractThe unprecedented efforts to minimize the effects of the COVID-19 pandemic introduce a new arena for human face recognition in which faces are partially occluded with masks. Here, we tested the extent to which face masks change the way faces are perceived. To this end, we evaluated face processing abilities for masked and unmasked faces in a large online sample of adult observers (n = 496) using an adapted version of the Cambridge Face Memory Test, a validated measure of face perception abilities in humans. As expected, a substantial decrease in performance was found for masked faces. Importantly, the inclusion of masks also led to a qualitative change in the way masked faces are perceived. In particular, holistic processing, the hallmark of face perception, was disrupted for faces with masks, as suggested by a reduced inversion effect. Similar changes were found whether masks were included during the study or the test phases of the experiment. Together, we provide novel evidence for quantitative and qualitative alterations in the processing of masked faces that could have significant effects on daily activities and social interactions.

scholarly journals A Set of Single YOLO Modalities to Detect Occluded Entities via Viewpoint Conversion

2021 ◽  
Vol 11 (13) ◽  
pp. 6016
Author(s):  
Jinsoo Kim ◽  
Jeongho Cho
Keyword(s):  
Object Detection ◽  
Autonomous Vehicles ◽  
Autonomous Driving ◽  
Detection Algorithm ◽  
Detection Accuracy ◽  
Cloud Data ◽  
Detection Techniques ◽  
Bounding Boxes ◽  
Partially Occluded ◽  
Rgb Image

For autonomous vehicles, it is critical to be aware of the driving environment to avoid collisions and drive safely. The recent evolution of convolutional neural networks has contributed significantly to accelerating the development of object detection techniques that enable autonomous vehicles to handle rapid changes in various driving environments. However, collisions in an autonomous driving environment can still occur due to undetected obstacles and various perception problems, particularly occlusion. Thus, we propose a robust object detection algorithm for environments in which objects are truncated or occluded by employing RGB image and light detection and ranging (LiDAR) bird’s eye view (BEV) representations. This structure combines independent detection results obtained in parallel through “you only look once” networks using an RGB image and a height map converted from the BEV representations of LiDAR’s point cloud data (PCD). The region proposal of an object is determined via non-maximum suppression, which suppresses the bounding boxes of adjacent regions. A performance evaluation of the proposed scheme was performed using the KITTI vision benchmark suite dataset. The results demonstrate the detection accuracy in the case of integration of PCD BEV representations is superior to when only an RGB camera is used. In addition, robustness is improved by significantly enhancing detection accuracy even when the target objects are partially occluded when viewed from the front, which demonstrates that the proposed algorithm outperforms the conventional RGB-based model.

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