Author correction: ASPHAA: A GIS‐based algorithm to calculate cell area on a latitude–longitude (geographic) regular grid

Aim. To consider soil continuality and discreteness as features of heterogeneity manifestation in a soil cover, important for construction of agriculture systems. Methods. Geostatistical research of soil spatial heterogeneity, revealing the contours of a fi eld with various parameters of fertility. Results. The use of principles of precise agriculture and inspection of indicative properties of fi eld soils using a regular grid allowed to divide a fi eld into contours with three levels of fertility: the fi rst one is characterized by optimal or close to optimum properties which allows refusing from (or reducing substantially) tillage, introduction of fertilizers or chemical ameliorates; the second one has average parameters of fertility corresponding to zonal soils and demands the application of zonal technologies; the third one (with the worst parameters of fertility) presupposes regular use of the improved technologies. Conclusions. The introduction of precise agriculture will allow replacing a traditional zonal system with thenew which is soil-protecting and resource-saving one.

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Application of EMS Analysis to Failure in Cell Area of Memory Device

ISTFA 1998: Conference Proceedings from the 24th International Symposium for Testing and Failure Analysis ◽

10.31399/asm.cp.istfa1998p0337 ◽

1998 ◽

Author(s):

T. Nukumizu ◽

J. Sato ◽

H. Furuya ◽

H. Namba ◽

T. Kikuch

Keyword(s):

Failure Analysis ◽

Memory Device ◽

Cell Area

Abstract EMS analysis is widely used in the failure analysis of the semiconductor. Moreover, the availability is widely evaluated. However, EMS analysis is not often used for the defect (1 Bit failure, Word Line failure, Bit Line failure, etc.) in the cell area in the memory device, because information on Fail Bit Map can be facilitated. Recently, make minutely advancing, and it is impossible to detect the defective cause only by Fail Bit Map information. We found the effectiveness as follows by the use of EMS analysis for a defective sample with Fail Bit Map information to solve such a problem. It leads to shortening analysis TAT because a defective part can be specified. Moreover, because the SHORT/OPEN mode can be divided, it is useful for the presumption of a defective mode. Furthermore, it is effective also to the confirmation of the presence of the redundancy and the confirmation of Fail Bit Map. Thus, because the application of EMS analysis for the defect in the cell area of the memory device is very effective to detect a defective cause, I want to recommend it by all means.

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Faculty Opinions recommendation of The conduit system transports soluble antigens from the afferent lymph to resident dendritic cells in the T cell area of the lymph node.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1023629.298828 ◽

2005 ◽

Author(s):

Deborah Fowell

Keyword(s):

Dendritic Cells ◽

Lymph Node ◽

T Cell ◽

Cell Area ◽

Conduit System ◽

Afferent Lymph

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Faculty Opinions recommendation of The conduit system transports soluble antigens from the afferent lymph to resident dendritic cells in the T cell area of the lymph node.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1023629.277672 ◽

2005 ◽

Author(s):

Casey Weaver

Keyword(s):

Dendritic Cells ◽

Lymph Node ◽

T Cell ◽

Cell Area ◽

Conduit System ◽

Afferent Lymph

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Quantifying wildlife-livestock interactions and their spatio-temporal patterns: Is regular grid camera trapping a suitable approach?

Ecological Indicators ◽

10.1016/j.ecolind.2020.106565 ◽

2020 ◽

Vol 117 ◽

pp. 106565

Author(s):

Roxana Triguero-Ocaña ◽

Joaquín Vicente ◽

Pablo Palencia ◽

Eduardo Laguna ◽

Pelayo Acevedo

Keyword(s):

Temporal Patterns ◽

Camera Trapping ◽

Regular Grid ◽

Spatio Temporal

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Yeast Morphology Assessment through Automated Image Analysis during Fermentation

Fermentation ◽

10.3390/fermentation7020044 ◽

2021 ◽

Vol 7 (2) ◽

pp. 44

Author(s):

Mario Guadalupe-Daqui ◽

Mandi Chen ◽

Katherine A. Thompson-Witrick ◽

Andrew J. MacIntosh

Keyword(s):

Image Analysis ◽

High Stress ◽

Cross Sectional Area ◽

Automated Image Analysis ◽

Yeast Cells ◽

Morphological Properties ◽

Cell Area ◽

Sectional Area ◽

Cross Sectional ◽

Industrial Fermentation

The kinetics and success of an industrial fermentation are dependent upon the health of the microorganism(s) responsible. Saccharomyces sp. are the most commonly used organisms in food and beverage production; consequently, many metrics of yeast health and stress have been previously correlated with morphological changes to fermentations kinetics. Many researchers and industries use machine vision to count yeast and assess health through dyes and image analysis. This study assessed known physical differences through automated image analysis taken throughout ongoing high stress fermentations at various temperatures (30 °C and 35 °C). Measured parameters included sugar consumption rate, number of yeast cells in suspension, yeast cross-sectional area, and vacuole cross-sectional area. The cell morphological properties were analyzed automatically using ImageJ software and validated using manual assessment. It was found that there were significant changes in cell area and ratio of vacuole to cell area over the fermentation. These changes were temperature dependent. The changes in morphology have implications for rates of cellular reactions and efficiency within industrial fermentation processes. The use of automated image analysis to quantify these parameters is possible using currently available systems and will provide additional tools to enhance our understanding of the fermentation process.

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