Discussion of “Visual Quality Controls in Highway Design”

Abstract. Red has been reported to enhance attraction for women rating men ( Elliot et al., 2010 ) and men rating women ( Elliot & Niesta, 2008 ). We replicated one of these studies online and in-person. To ensure rigor, we obtained original materials, planned for informative sample sizes, pre-registered our study, used a positive control, and adopted quality controls. For men, we found a very weak effect in the predicted direction (d = 0.09, 95% CI [−0.17, 0.34], N = 242). For women, we found a very weak effect in the opposite direction (d = −0.09, 95% CI [−0.30, 0.12], N = 360). The original studies may have overestimated the red effect, our studies may be an underestimate, or there could be strong moderation of the effect of red on attraction.

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The “Mixing” of Implant Systems

Veterinary and Comparative Orthopaedics and Traumatology ◽

10.1055/s-0038-1633250 ◽

1991 ◽

Vol 4 (02) ◽

pp. 38-45 ◽

Cited By ~ 1

Author(s):

F. Baumgart

Keyword(s):

Stainless Steel ◽

Additional Risk ◽

Bone Screw ◽

Application Technique ◽

Quality Controls ◽

Implant Materials ◽

Osteosynthesis Plate ◽

Potential Problems ◽

Manufacturing Procedure

SummaryThe so-called “mixing” of implants and instruments from different producers entertain certain risks.The use of standardized implant materials (e.g. stainless steel ISO 5832/1) from different producers is necessary but is not sufficient to justify the use of an osteosynthesis plate from one source and a bone screw from another.The design, dimensions, tolerances, manufacturing procedure, quality controls, and application technique of the instruments and implants also vary according to make. This can lead to damage, failure or fracture of the biomechanical system called “osteosynthesis” and hence the failure of the treatment undertaken. In the end, it is the patient who pays for these problems.Some examples also illustrate the potential problems for the staff and institutions involved.The use of a unique, consistent, well-tested, and approved set of implants and instruments is to be strongly recommended to avoid any additional risk.

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Uncertainties in Stream Restoration for Highway Design and Improvement

World Environmental and Water Resources Congress 2007 ◽

10.1061/40927(243)347 ◽

2007 ◽

Author(s):

Rupeet Malhotra ◽

Peggy A. Johnson

Keyword(s):

Stream Restoration ◽

Highway Design

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Device-Aware Visual Quality Adaptation for Wireless N-Screen Multicast Systems

IEICE Transactions on Communications ◽

10.1587/transcom.e96.b.3181 ◽

2013 ◽

Vol E96.B (12) ◽

pp. 3181-3189 ◽

Cited By ~ 4

Author(s):

Inwoong LEE ◽

Jincheol PARK ◽

Seonghyun KIM ◽

Taegeun OH ◽

Sanghoon LEE

Keyword(s):

Visual Quality ◽

Quality Adaptation

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Detection of Malicious Spatial-Domain Steganography over Noisy Channels Using Convolutional Neural Networks

Electronic Imaging ◽

10.2352/issn.2470-1173.2020.4.mwsf-076 ◽

2020 ◽

Vol 2020 (4) ◽

pp. 76-1-76-7

Author(s):

Swaroop Shankar Prasad ◽

Ofer Hadar ◽

Ilia Polian

Keyword(s):

State Of The Art ◽

Visual Quality ◽

Channel Noise ◽

Detection Accuracy ◽

Noisy Channel ◽

Noisy Channels ◽

Reliable Transmission ◽

Reliable Detection ◽

Natural Noise ◽

Will Force

Image steganography can have legitimate uses, for example, augmenting an image with a watermark for copyright reasons, but can also be utilized for malicious purposes. We investigate the detection of malicious steganography using neural networkbased classification when images are transmitted through a noisy channel. Noise makes detection harder because the classifier must not only detect perturbations in the image but also decide whether they are due to the malicious steganographic modifications or due to natural noise. Our results show that reliable detection is possible even for state-of-the-art steganographic algorithms that insert stego bits not affecting an image’s visual quality. The detection accuracy is high (above 85%) if the payload, or the amount of the steganographic content in an image, exceeds a certain threshold. At the same time, noise critically affects the steganographic information being transmitted, both through desynchronization (destruction of information which bits of the image contain steganographic information) and by flipping these bits themselves. This will force the adversary to use a redundant encoding with a substantial number of error-correction bits for reliable transmission, making detection feasible even for small payloads.

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