THE STRUCTURAL ENVIRONMENT OF Te DOPANTS IN GaAs USING EXAFS IN FLUORESCENCE MODE

AbstractDelhi region in northern India experiences frequent shaking due to both far-field and near-field earthquakes from the Himalayan and local sources, respectively. The recent M3.5 and M3.4 earthquakes of 12th April 2020 and 10th May 2020 respectively in northeast Delhi and M4.4 earthquake of 29th May 2020 near Rohtak (~ 50 km west of Delhi), followed by more than a dozen aftershocks, created panic in this densely populated habitat. The past seismic history and the current activity emphasize the need to revisit the subsurface structural setting and its association with the seismicity of the region. Fault plane solutions are determined using data collected from a dense network in Delhi region. The strain energy released in the last two decades is also estimated to understand the subsurface structural environment. Based on fault plane solutions, together with information obtained from strain energy estimates and the available geophysical and geological studies, it is inferred that the Delhi region is sitting on two contrasting structural environments: reverse faulting in the west and normal faulting in the east, separated by the NE-SW trending Delhi Hardwar Ridge/Mahendragarh-Dehradun Fault (DHR-MDF). The WNW-ESE trending Delhi Sargoda Ridge (DSR), which intersects DHR-MDF in the west, is inferred as a thrust fault. The transfer of stress from the interaction zone of DHR-MDF and DSR to nearby smaller faults could further contribute to the scattered shallow seismicity in Delhi region.

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Determination of the Structural Environment of the Tyrosyl Radical in Prostaglandin H2Synthase-1: A High Frequency ENDOR/EPR Study

Journal of the American Chemical Society ◽

10.1021/ja043853q ◽

2005 ◽

Vol 127 (6) ◽

pp. 1618-1619 ◽

Cited By ~ 18

Author(s):

John C. Wilson ◽

Gang Wu ◽

Ah-lim Tsai ◽

Gary J. Gerfen

Keyword(s):

High Frequency ◽

Tyrosyl Radical ◽

Structural Environment

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Pierre Bourdieu, the ‘cultural turn’ and the practice of international history

Review of International Studies ◽

10.1017/s026021050800795x ◽

2008 ◽

Vol 34 (1) ◽

pp. 155-181 ◽

Cited By ~ 43

Author(s):

PETER JACKSON

Keyword(s):

Pierre Bourdieu ◽

Social Actors ◽

International History ◽

Cultural Roots ◽

Cultural Orientations ◽

Structural Environment ◽

The Social ◽

Collective Actors ◽

History Of ◽

Cultural Turn

AbstractThe rise of the ‘cultural turn’ has breathed new life into the practice of international history over the past few decades. Cultural approaches have both broadened and deepened interpretations of the history of international relations. This article focuses on the use of culture as an explanatory methodology in the study of international history. It outlines the two central criticisms often made of this approach. The first is that it suffers from a lack of analytical rigour in both defining what culture is and understanding how it shapes individual and collective policy decisions. The second is that it too often leads to a tendency to exaggerate the importance of the cultural predispositions of individual or collective actors at the expense of the wider structures within which policymaking takes place. The article provides a brief outline of the social theory of Pierre Bourdieu – which focuses on the interaction between the cultural orientations of social actors and the structural environment that conditions their strategies and decisions. It then argues that Bourdieu’s conceptual framework can provide the basis for a more systematic approach to understanding the cultural roots of policymaking and that international historians would benefit from engagement with his approach.

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SCONES: Self-Consistent Neural Network for Protein Stability Prediction Upon Mutation

10.26434/chemrxiv.14729445 ◽

2021 ◽

Author(s):

Yashas Samaga B L ◽

Shampa Raghunathan ◽

U. Deva Priyakumar

Keyword(s):

Neural Network ◽

Machine Learning ◽

Protein Stability ◽

Data Augmentation ◽

Stability Prediction ◽

Structural Environment ◽

Self Consistent ◽

The Difference ◽

Protein Sequence Space ◽

New Machine

<div>Engineering proteins to have desired properties by mutating amino acids at specific sites is commonplace. Such engineered proteins must be stable to function. Experimental methods used to determine stability at throughputs required to scan the protein sequence space thoroughly are laborious. To this end, many machine learning based methods have been developed to predict thermodynamic stability changes upon mutation. These methods have been evaluated for symmetric consistency by testing with hypothetical reverse mutations. In this work, we propose transitive data augmentation, evaluating transitive consistency, and a new machine learning based method, first of its kind, that incorporates both symmetric and transitive properties into the architecture. Our method, called SCONES, is an interpretable neural network that estimates a residue's contributions towards protein stability dG in its local structural environment. The difference between independently predicted contributions of the reference and mutant residues in a missense mutation is reported as dG. We show that this self-consistent machine learning architecture is immune to many common biases in datasets, relies less on data than existing methods, and is robust to overfitting.</div><div><br></div>

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Relation between Local Structural Environment of Iron Ions and FeO1.33 Activities in the FeOx-CaO-SiO2 slags

Tetsu-to-Hagane ◽

10.2355/tetsutohagane.tetsu-2016-079 ◽

2017 ◽

Vol 103 (6) ◽

pp. 380-387

Author(s):

Miyuki Hayashi ◽

Yoshitaka Katahira

Keyword(s):

Iron Ions ◽

Structural Environment

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Attitudes About Perceived Park Safety Among Residents in Low-Income and High Minority Kansas City, Missouri, Neighborhoods

Environment and Behavior ◽

10.1177/0013916518814291 ◽

2018 ◽

Vol 52 (6) ◽

pp. 639-665 ◽

Cited By ~ 5

Author(s):

Lisa Groshong ◽

Sonja A. Wilhelm Stanis ◽

Andrew T. Kaczynski ◽

J. Aaron Hipp

Keyword(s):

Physical Activity ◽

Social Interactions ◽

Low Income ◽

Urban Areas ◽

Kansas City ◽

Outdoor Recreation ◽

Green Space ◽

Park Use ◽

Structural Environment ◽

Safety Constraints

Parks benefit communities by supporting the physical, mental, and social health of their residents. This is especially important in urban areas, where parks provide essential access to green space, and especially among low-income populations who may lack alternative venues for outdoor recreation. However, although urban parks may ostensibly be accessible, their use can be influenced by factors including perceptions and realities of safety. This qualitative study explored the issue of safety as it relates to park use and park-based physical activity from six focus groups with 41 total participants in urban Kansas City, Missouri. As a facilitator to safety, participants described social interactions and structural environment factors. Safety constraints emerged along five main themes: violence, concerning behavior, lack of maintenance, lack of lighting, and traffic/busy roads. This study adds to the literature establishing safety as a complex and multidimensional factor influencing park usage and physical activity.

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