On the White Side of Crossover Dreams

2021 ◽  
pp. 330-332
Author(s):  
Martin Gottlieb
Keyword(s):  
White Side

scholarly journals Somatic cell count of milk from different goat breeds

2015 ◽  
Vol 8 (1) ◽  
pp. 45-54
Author(s):  
J. Csanádi ◽  
J. Fenyvessy ◽  
S. Bohata
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Goat Milk ◽  
Reference Method ◽  
Fermented Milk ◽  
Linear Calibration ◽  
Limit Value ◽  
White Side ◽  
Standard Limit

Abstract There is no standard limit value for somatic cell count (SCC) of raw goat milk in the EU despite that excellent hygienic quality milk is needed for the manufacture of fermented milk products or cheese varieties. Mastitis often results such high SCC - besides the potential risk for humans - that the clotting of milk will not be perfect, resulting slack curd with higher whey releasing; furthermore, wrong structure, ripening, bad sensory properties of cheese can also be its consequences. In this paper, we report the SCC of milk samples from five different goat breeds bred in Hungary, measured with two fast methods compared with the results from the reference method. Furthermore, we investigated the applicability and the accuracy of the MT-02 (Agro Legato Ltd., Hungary) instrument. We determined that the White Side test and the instrument MT were suitable for the estimation of possible risks and consequences in the case of the use of high SCC milk before production. The general summarized average milk SCC was 6.64 × 105 ml−1. The highest difference between the results from MT-02 and the fluorometric (reference) method was 5 × 105 ml−1, but it was a singular, extreme value. The r2 of the calculated linear calibration equation was 0.7819; consequently, this method seems to be applicable in the measurement of SCC with MT-02 instrument. Furthermore, the SCC of samples did not differ significantly by genotypes and by seasons (spring: 5.85 × 105 ml−1, autumn: 6.22 × 105 ml−1).

Adsorbent Filter — A Tool for the Selection of Plant Suspension Culture Cells Producing Secondary Substances

1985 ◽  
Vol 40 (5-6) ◽  
pp. 297-300 ◽  
Author(s):  
Bernd Knoop ◽  
Rolf Beiderbeck
Keyword(s):  
Filter Paper ◽  
Cell Aggregates ◽  
Matricaria Chamomilla ◽  
Adsorbent Layer ◽  
Standard Methods ◽  
Culture Cells ◽  
Cell Carrier ◽  
White Side ◽  
Secondary Substances ◽  
Selection Of

Abstract Cells and cell aggregates from suspension cultures are plated onto selection plates, consisting of: 1. A layer of nutrient medium solidified with agar 2. A filter paper coated on the upper side with activated charcoal (AC) as an adsorbent 3. covered by a sheet of cellophane as cell carrier. Substances produced migrate through the cellophane and are locally bound to the adsorbent layer. A fter transfer of the cells together with the cellophane to another dish the adsorbent filter is dried and the substances bound to the AC are eluted to the white side of the filter paper where they can be detected by m eans of standard methods of TLC and PC. The substance pattern mirrors the pattern of cell material and allows to discover those cells with deviating substance production. This method is used to recover cell aggregates of Nicotiana tabacum and Matricaria chamomilla from a mixture of both cultures.

scholarly journals Disentangling Natural and Anthropogenic Forms of Mortality and Serious Injury in a Poorly Studied Pelagic Dolphin

2021 ◽  
Vol 8 ◽  
Author(s):  
Erin Ashe ◽  
Rob Williams ◽  
Alexandra Morton ◽  
Philip S. Hammond
Keyword(s):  
Killer Whale ◽  
Anthropogenic Impacts ◽  
Predatory Behavior ◽  
Orcinus Orca ◽  
Killer Whales ◽  
Mammal Conservation ◽  
White Side ◽  
Fishery Interactions ◽  
Serious Injury

Killer whale (Orcinus orca) populations specialize in both prey and prey acquisition tactics around the world and may be a primary evolutionary driver of the habits of small cetaceans. Entanglement in fishing gear is the most significant anthropogenic threat to the survival of cetaceans worldwide. Distinguishing between natural and human-caused sources of mortality and injury is a key task in marine mammal conservation and management. In British Columbia (BC), Canada, mammal-eating killer whales co-occur with Pacific white-sided dolphins (Lagenorhynchus obliquidens). Bycatch mortality rates are unknown here due to lack of systematic fisheries observer coverage. Drawing from more than three decades of first-hand observations of killer whale attacks on Pacific white-sided dolphins, we identify common themes with respect to predatory behavior of killer whales and anti-predatory responses of dolphins. With input from veterinary pathologists, we outline clues to distinguish killer whale rake marks from scars and wounds likely to be caused by fishery interactions. We examined photographs of 415 well-marked Pacific white-side dolphins for evidence of injuries and scars consistent with either killer whale attacks or fishery interactions. In this case study, healed scars from interactions with killer whale predators were ∼8× more common than scars from fishery interactions (3.9 vs. 0.5%), suggesting that predation is a much bigger threat to Pacific white-sided dolphins in the study area than anthropogenic impacts, or that dolphins are much less likely to survive a fishery interaction than a predation attempt. To advance our knowledge on poorly studied species, multiple lines of evidence will be needed.

scholarly journals Learning to See the Hidden Part of the Vehicle in the Autopilot Scene

Electronics ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 331 ◽  
Author(s):  
Yifeng Xu ◽  
Huigang Wang ◽  
Xing Liu ◽  
Henry He ◽  
Qingyue Gu ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Deep Learning ◽  
Object Detection ◽  
Vision System ◽  
Image Inpainting ◽  
Semantic Segmentation ◽  
Fatal Crash ◽  
White Side ◽  
Original Size ◽  
High Level

Recent advances in deep learning have shown exciting promise in low-level artificial intelligence tasks such as image classification, speech recognition, object detection, and semantic segmentation, etc. Artificial intelligence has made an important contribution to autopilot, which is a complex high-level intelligence task. However, the real autopilot scene is quite complicated. The first accident of autopilot occurred in 2016. It resulted in a fatal crash where the white side of a vehicle appeared similar to a brightly lit sky. The root of the problem is that the autopilot vision system cannot identify the part of a vehicle when the part is similar to the background. A method called DIDA was first proposed based on the deep learning network to see the hidden part. DIDA cascades the following steps: object detection, scaling, image inpainting assuming a hidden part beside the car, object re-detection from inpainted image, zooming back to the original size, and setting an alarm region by comparing two detected regions. DIDA was tested in a similar scene and achieved exciting results. This method solves the aforementioned problem only by using optical signals. Additionally, the vehicle dataset captured in Xi’an, China can be used in subsequent research.

A White Side of Black Britain

2010 ◽  
Author(s):  
France Winddance Twine ◽  
Michael Smyth
Keyword(s):  
White Side ◽  
Black Britain

Identification of Elastomers in Tire Sections by Total Thermal Analysis. II. White Sidewall Compounds of EPDM and Blends

1975 ◽  
Vol 48 (4) ◽  
pp. 631-639 ◽  
Author(s):  
A. K. Sircar ◽  
T. G. Lamond
Keyword(s):  
Thermal Analysis ◽  
Infrared Analysis ◽  
Endothermic Reaction ◽  
Close Correspondence ◽  
White Side ◽  
Side Walls ◽  
The Difference ◽  
Corroborative Evidence ◽  
The Many ◽  
Good Agreement

Abstract Total thermal analysis curves can identify all polymers in the blends of EPDM and other elastomers that are used for white side walls. DSC and DTG curves in nitrogen are most promising, while those in oxygen can be used as corroborative evidence. There is close correspondence between DSC and DTG peak temperatures for the elastomers that degrade by endothermic reaction (EPDM, CIIR). The difference in glass transition temperature of the many combinations is not big enough, but this also provides corroborative evidence. The method has been tried in analyzing white sidewalls from commercial tires and was found to give results in good agreement with infrared analysis in most cases.

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