Sign Up. Download PDF or Print Download this article as a print friendly PDF and receive our weekly overview of the most important geomatics news and insightful articles and case studies. First name. Last name. We present Cascaded Primitive Fitting Networks CPFN that relies on an adaptive patch sampling network to assemble detection results of global and local primitive detection networks.
As a key enabler, we present a merging formulation that dynamically aggregates the primitives across global and local scales. Sign in. View more in. Community Policy. Related Cell Phones Posted by. The new feature is called Scan and, as its name suggests, it can scan and identify objects from the real world. The feature isn't exactly new. Some form of it has This follows the app updates the company started rolling out last week, including the new Snipping Tool and Calculator.
The new Clock app in Windows 11 has some new design elements, but the big new thing is Focus Sessions. The length range of the electrical filaments can be unbounded. We assume that the randomness is stationary and ergodic w.
This action is covariant w. The scan parameters were as follows: kvp, mAs, 0. The inner luminal area was calculated using measurements from the first third portion of each bronchus. Lung histograms were obtained for the evaluation of the density changes of the lung parenchyma before and after allergen exposure. The density changes were measured in the following manner: after each lung was segmented at the CaRMB3 level, the Hounsfield Units HU of each 1 mm 2 region of interest ROI was measured and the values were summed up to estimate the average densities of the lung parenchyma Supplement 1.
These serial lung histograms dynamically quantified the amount of air trapping and the extent of alveolar collapse caused by allergen exposure. Since air trapping is estimated using density threshold-based measures between inspiration and expiration, we presumed that the serial changes of density measurement at the same lung parenchyma might reflect the air-trapping or alveolar collapse. Under anesthesia, UHRCT scans were performed after methacholine or OVA challenge in the asthma group and the control group to evaluate the structural changes of early phase reactions to methacholine and OVA.
Penh was measured after the methacholine challenge on the 32nd day, and the paired UHRCT scan was performed after 12 h on the same day Fig.
The Penh measurement day 31 and UHRCT scan day 34 were performed repeatedly for 10 h after the intranasal OVA challenge in order to track the serial responses in the asthma group. Under anesthesia, Penh was measured at 5, 10, 30, 60, , , , , , , , and min after the intranasal OVA challenge on the 31st day. The paired T test was performed to confirm the airway changes before and after the methacholine or OVA challenge. Correlation analyses were performed to find associations between the lung histograms, airway diameter and Penh values.
A P value less than 0. In the asthma group, there was no significant change in the CaRMB3 area after the methacholine challenge 0. Airway changes during early phase reaction after methacholine and OVA challenge. In the control group, there was no change after methacholine or OVA challenge. The asthma group mice showed no significant change of airways to methacholine challenge. However, they showed slight but significant increase of airways to OVA challenge. In the asthma group challenged with methacholine, no immediate changes in the lung parenchyma were observed Fig.
In the control group, no parenchymal changes were observed after challenges with either methacholine or OVA data now shown. Parenchymal changes during early phase reaction in asthma model. A Baseline image before methacholine challenge. B Image of 5 min after methacholine challenge. C Baseline image before OVA challenge. D Image of 5 min after OVA challenge. Methacholine challenge did not induce any parenchymal changes nor bronchial changes.
However, prominent peribronchial attenuation developed along with dilation of bronchus by OVA challenge. After the OVA challenge in the asthma model, Penh was measured at 5, 10, 30, 60 min and at one-hour intervals for a total of 10 h. While the first LAR peak was observed in a similar manner in all mice, the timing and degree of the second LAR was different for each individual mouse.
Serial changes of Penh up to 10 h after OVA challenge. B—F Penh change in each mouse 1—5. However, interestingly some mice showed multiple peaks of LAR. UHRCT was performed in each mouse at 5 min, 30 min, and at one-hour intervals for a total of 10 h after the OVA challenge to serially observe the structural changes Fig.
When the Penh increased, the bronchial diameters of CaRMB3 showed a paradoxical increase, and when the Penh decreased to the baseline, the bronchial diameters also decreased to their original sizes.
Corresponding changes of airway and Penh. B Serial changes of CT imaging. When Penh increased, bronchial diameter significantly increased. After the OVA challenge for each mouse, Penh, luminal area, airway diameter and lung histogram at each time point were measured, and correlation analyses of each index were performed Fig.
The association between luminal area and Penh or peripheral air trapping lung histogram were compared along the time points Fig. Together these results show that peripheral air trapping and proximal bronchial dilatation occur simultaneously in response to the airflow obstruction caused by bronchoconstriction following OVA exposure. Correlation between imaging parameters. A In mouse 1, serial changes of Penh, bronchial diameter and bronchial area up to 10 h after OVA challenge.
B Correlation between Penh and bronchial diameter. C In mouse 1, serial changes of bronchial area and lung histogram after OVA challenge. D Correlation between bronchial area and lung histogram. Penh was well correlated with diameter and area. Reduced airflow is correlated with wider bronchial diameter. Bronchial area was negatively correlated with lung histogram.
These changes in proximal airway are also closely correlated with air trapping in periphery. This study used imaging studies to show the paradoxical dilatation of the proximal airway and accompanying processes after allergen exposure in a murine asthma model.
Our results show that the compensatory paradoxical airway dilatation occurs concurrently with peribronchial inflammation and peripheral air trapping. The structural changes of the airway and lung parenchyma that were observed in this study after allergen exposure may have a significant impact on airflow dynamics. Is the core question whether human hearing can consciously detect a high-res file from a downconverted version of the same file?
We already know that there is greater fidelity fidelity meaning more closely matching the source feed in a high-resolution PCM file.
But can any listener with a good system listen to a standard-resolution file and a high-resolution file of the same recording and perceive any differences? To keep the comparison fair, both files have to be level matched and otherwise be identical — same file size, same sample rate, and word length. So here we go. To create the Redbook version, I downconverted the high-resolution master to I open to other processes.
I analyzed the two versions to make sure the volumes and frequency plots are the same except for the steep cutoff at Take a look at the following illustrations:.
This is the analysis for the original file. Notice the extended frequency response, the smooth ultrasonics in the spectrum, and the extreme dynamic range.
The hard cut at So I invite any reader to download these files you may have to wait for the server to become available and do your own listening comparison. There 6 different selections labelled A or B. Simply let me know which of the two you believe is the high-resolution version and which is the Redbook downconverted one. It should be interesting. It would be helpful if you let me know about your system headphones vs speakers , you listening environment, age, and level of training.
I would also ask you to affirm in your email that you have not attempted to circumvent the protocol laid out above and that you have only listened to the files in making your judgement. It would be great to get people to participate. This is casual test and in no way is meant to be definitive. But using materials that have better fidelity than Redbook CDs might at least remove my primary complaint against previous studies.
I look forward to hearing from those willing to participate. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
Use of this web site signifies your agreement to the terms and conditions. High-Resolution Imaging Using Synthetic Bandwidth and Small Array Abstract: For sonar imaging platforms with limited space, small-size arrays pose a challenge to high-resolution imaging application.
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