Reverse Engineering Earthquakes using Lab-scale Replicas: Application to Mw5.5 2017 Pohang Earthquake

<p>An earthquake can happen due to many different phenomena such as sliding faults, fluid/gas injection into the subsurface or volcanic activities. Understanding the cause of earthquakes is one important step towards a better hazard assessment and better mitigation. In this study, we explore the physics behind different types of earthquakes by inducing similar mechanics in lab-scale experiments using an analogous model. Inside a transparent rectangular Hele-Shaw cell, we induce lab-scale microseismicity via pneumatic fracturing. An 80 x 40 cm transparent setup is prepared using a 1 mm thin layer of uncompacted granular medium having a fixed grain size is placed between two glass plates.<br>The seismic location results are compared with the image correlation results for displacement maps corresponding to the event times. Using air injection, this porous medium is compacted and fractured. This system is monitored using a camera recording 1000 images per second and accelerometers recording with 1 MHz sampling rate. Sources of earthquake-like vibrations are both located using acoustic recordings and image processing. We have observed that the deformation starts with compaction inside the medium; this compaction propagates toward the channel tips and causes the fingers to advance further inside the medium. We have observed (using optics and acoustics) that the movement starts inside the porous medium and progresses toward the channel tips, eventually causing channels to grow further. We also compared the characteristic patterns in these lab-scale events that are very similar to large scale correspondents, in particular with 2017 Mw 5.5 Pohang Earthquake. We reverse-engineered the signature of the recorded lab-scale signals to have a better understanding of this industrial hazard.</p>

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Overview of Subsynchronous Oscillation in Grid-connected Wind Farm

Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) ◽

10.2174/2352096513999200407103526 ◽

2020 ◽

Vol 13 (7) ◽

pp. 969-979

Author(s):

Xu Pei-Zhen ◽

Lu Yong-Geng ◽

Cao Xi-Min

Keyword(s):

Power Systems ◽

Wind Turbine ◽

Large Scale ◽

Wind Farm ◽

Wind Farms ◽

Induction Generator ◽

Future Research ◽

Stable Operation ◽

Subsynchronous Oscillation ◽

Different Types

Background: Over the past few years, the subsynchronous oscillation (SSO) caused by the grid-connected wind farm had a bad influence on the stable operation of the system and has now become a bottleneck factor restricting the efficient utilization of wind power. How to mitigate and suppress the phenomenon of SSO of wind farms has become the focus of power system research. Methods: This paper first analyzes the SSO of different types of wind turbines, including squirrelcage induction generator based wind turbine (SCIG-WT), permanent magnet synchronous generator- based wind turbine (PMSG-WT), and doubly-fed induction generator based wind turbine (DFIG-WT). Then, the mechanisms of different types of SSO are proposed with the aim to better understand SSO in large-scale wind integrated power systems, and the main analytical methods suitable for studying the SSO of wind farms are summarized. Results: On the basis of results, using additional damping control suppression methods to solve SSO caused by the flexible power transmission devices and the wind turbine converter is recommended. Conclusion: The current development direction of the SSO of large-scale wind farm grid-connected systems is summarized and the current challenges and recommendations for future research and development are discussed.

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Situational Breakdowns

10.1093/oso/9780190922061.001.0001 ◽

2019 ◽

Cited By ~ 8

Author(s):

Anne Nassauer

Keyword(s):

United States ◽

Large Scale ◽

Contextual Factors ◽

The United States ◽

Social Outcomes ◽

Dynamic Processes ◽

Collective Decisions ◽

Different Types ◽

The Impact

This book provides an account of how and why routine interactions break down and how such situational breakdowns lead to protest violence and other types of surprising social outcomes. It takes a close-up look at the dynamic processes of how situations unfold and compares their role to that of motivations, strategies, and other contextual factors. The book discusses factors that can draw us into violent situations and describes how and why we make uncommon individual and collective decisions. Covering different types of surprise outcomes from protest marches and uprisings turning violent to robbers failing to rob a store at gunpoint, it shows how unfolding situations can override our motivations and strategies and how emotions and culture, as well as rational thinking, still play a part in these events. The first chapters study protest violence in Germany and the United States from 1960 until 2010, taking a detailed look at what happens between the start of a protest and the eruption of violence or its peaceful conclusion. They compare the impact of such dynamics to the role of police strategies and culture, protesters’ claims and violent motivations, the black bloc and agents provocateurs. The analysis shows how violence is triggered, what determines its intensity, and which measures can avoid its outbreak. The book explores whether we find similar situational patterns leading to surprising outcomes in other types of small- and large-scale events: uprisings turning violent, such as Ferguson in 2014 and Baltimore in 2015, and failed armed store robberies.

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Transcriptional and morphological profiling of parvalbumin interneuron subpopulations in the mouse hippocampus

Nature Communications ◽

10.1038/s41467-020-20328-4 ◽

2021 ◽

Vol 12 (1) ◽

Author(s):

Lin Que ◽

David Lukacsovich ◽

Wenshu Luo ◽

Csaba Földy

Keyword(s):

Large Scale ◽

Cell Types ◽

Rna Seq ◽

Neuronal Identity ◽

Parvalbumin Interneurons ◽

Different Types ◽

Parvalbumin Interneuron ◽

Cam Profile ◽

Developmental Domains

AbstractThe diversity reflected by >100 different neural cell types fundamentally contributes to brain function and a central idea is that neuronal identity can be inferred from genetic information. Recent large-scale transcriptomic assays seem to confirm this hypothesis, but a lack of morphological information has limited the identification of several known cell types. In this study, we used single-cell RNA-seq in morphologically identified parvalbumin interneurons (PV-INs), and studied their transcriptomic states in the morphological, physiological, and developmental domains. Overall, we find high transcriptomic similarity among PV-INs, with few genes showing divergent expression between morphologically different types. Furthermore, PV-INs show a uniform synaptic cell adhesion molecule (CAM) profile, suggesting that CAM expression in mature PV cells does not reflect wiring specificity after development. Together, our results suggest that while PV-INs differ in anatomy and in vivo activity, their continuous transcriptomic and homogenous biophysical landscapes are not predictive of these distinct identities.

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FlsnRNA-seq: protoplasting-free full-length single-nucleus RNA profiling in plants

Genome Biology ◽

10.1186/s13059-021-02288-0 ◽

2021 ◽

Vol 22 (1) ◽

Cited By ~ 2

Author(s):

Yanping Long ◽

Zhijian Liu ◽

Jinbu Jia ◽

Weipeng Mo ◽

Liang Fang ◽

...

Keyword(s):

Single Cell ◽

Cell Walls ◽

Large Scale ◽

Full Length ◽

Cell Level ◽

Root Cells ◽

Rna Profiling ◽

Different Types ◽

Long Read ◽

Single Nucleus

AbstractThe broad application of single-cell RNA profiling in plants has been hindered by the prerequisite of protoplasting that requires digesting the cell walls from different types of plant tissues. Here, we present a protoplasting-free approach, flsnRNA-seq, for large-scale full-length RNA profiling at a single-nucleus level in plants using isolated nuclei. Combined with 10x Genomics and Nanopore long-read sequencing, we validate the robustness of this approach in Arabidopsis root cells and the developing endosperm. Sequencing results demonstrate that it allows for uncovering alternative splicing and polyadenylation-related RNA isoform information at the single-cell level, which facilitates characterizing cell identities.

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Accessible Routes Integrating Data from Multiple Sources

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi10010007 ◽

2020 ◽

Vol 10 (1) ◽

pp. 7

Author(s):

Miguel R. Luaces ◽

Jesús A. Fisteus ◽

Luis Sánchez-Fernández ◽

Mario Munoz-Organero ◽

Jesús Balado ◽

...

Keyword(s):

Information System ◽

Data Model ◽

Large Scale ◽

Heterogeneous Data ◽

Multiple Sources ◽

Heterogeneous Data Sources ◽

Different Types ◽

Software Sensors ◽

The City

Providing citizens with the ability to move around in an accessible way is a requirement for all cities today. However, modeling city infrastructures so that accessible routes can be computed is a challenge because it involves collecting information from multiple, large-scale and heterogeneous data sources. In this paper, we propose and validate the architecture of an information system that creates an accessibility data model for cities by ingesting data from different types of sources and provides an application that can be used by people with different abilities to compute accessible routes. The article describes the processes that allow building a network of pedestrian infrastructures from the OpenStreetMap information (i.e., sidewalks and pedestrian crossings), improving the network with information extracted obtained from mobile-sensed LiDAR data (i.e., ramps, steps, and pedestrian crossings), detecting obstacles using volunteered information collected from the hardware sensors of the mobile devices of the citizens (i.e., ramps and steps), and detecting accessibility problems with software sensors in social networks (i.e., Twitter). The information system is validated through its application in a case study in the city of Vigo (Spain).

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Large‐scale circulation features responsible for different types of extreme high temperatures with extreme coverage over South China

International Journal of Climatology ◽

10.1002/joc.7283 ◽

2021 ◽

Author(s):

Wenting Lin ◽

Ruidan Chen ◽

Zhiping Wen ◽

Wei Chen

Keyword(s):

High Temperatures ◽

South China ◽

Large Scale ◽

Large Scale Circulation ◽

Different Types

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Posture and Health: Are the Biomechanical Postural Evaluation and the Postural Evaluation Questionnaire Comparable to and Predictive of the Digitized Biometrics Examination?

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18073507 ◽

2021 ◽

Vol 18 (7) ◽

pp. 3507

Author(s):

Giovanni Barassi ◽

Edoardo Di Simone ◽

Piero Galasso ◽

Salvatore Cristiani ◽

Marco Supplizi ◽

...

Keyword(s):

Emotional Disorders ◽

Healthy Subjects ◽

Large Scale ◽

Quantitative Investigation ◽

Evaluation Questionnaire ◽

Evaluation Form ◽

Margin Of Error ◽

Different Types ◽

Biomechanical Evaluation ◽

Postural Tone

Background: Postural tone alterations are expressions of myofascial and, therefore, of structural, visceral, and emotional disorders. To prevent these disorders, this study proposes a quantitative investigation method which administers a postural evaluation questionnaire and a postural biomechanical evaluation to 100 healthy subjects. Methods: The reliability of the method is studied by comparing both assessments with digitized biometrics. In addition, 50 subjects undergo the biomechanical evaluation form twice, by four different operators, to study the intraoperative repeatability. Results: The results show a satisfactory overlap between the results obtained with the postural evaluation questionnaire and the postural biomechanical evaluation compared to computerized biometrics. Furthermore, intraoperative repeatability in the use of the biomechanical evaluation form is demonstrated thanks to a minimal margin of error. Conclusions: This experience suggests the importance of undertaking this path in both the curative and the preventive sphere on a large scale and on different types of people who easily, and even unknowingly, may face dysfunctional syndromes, not only structural and myofascial but also consequently of the entire body’s homeostasis.

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Categories of intrauterine growth retardation

Fetal and Maternal Medicine Review ◽

10.1017/s0965539500000899 ◽

1993 ◽

Vol 5 (4) ◽

pp. 203-212 ◽

Cited By ~ 6

Author(s):

Roger A Fay ◽

David A Ellwood

Keyword(s):

Soft Tissue ◽

Fetal Growth ◽

Gestational Age ◽

Growth Retardation ◽

Large Scale ◽

Intrauterine Growth Retardation ◽

Low Birthweight ◽

Ponderal Index ◽

Intrauterine Growth ◽

Different Types

Originally all low birthweight infants were considered to be premature. When prematurity was redefined in terms of gestational age (SGA) and not preterm. With the large scale collection of obstetric data the distributions of birthweight at different gestational ages were described and from these, infants who were SGA could be defined. SGA became synonymous with terms such as growth retardation, but it soon became appearent that the two were not necessarily interchangeable. Scott and Usher found that it was the degree of soft tissue wasting rather than birthweight that related to poor perinatal outcome. Miller and Hassanein stated that: “birthweight by itself is not a valid measure of fetal growth impairment”. They used Rorher’s Ponderal Index (weight (g) × 100/length (cm)) to diagnose the malnourished or excessively wasted infants with reduced soft tissue mass. Most studies of intrauterine growth retardation (IUGR) still use low birthweight for gestational age centile as their only definition of IUGR or only study infants who have a low birthweight. Altman and Hytten expressed disquiet about this definition and stated: “There is now an urgent need to establish true measures of fetal growth from which deviations indicating genuine growth retardation can be derived” and that “it is particularly important that some reliable measures of outcome should be established”. In large series of term deliveries published recently, two groups of IUGR infants with different growth patterens have been identified. These studies confirm that birthweight alone is inadequate to define the different types of IUGR. They established that low Ponderal Index (PI) is a measure of IUGR associated with an increased incidence of perinatal problems and that it is time to re-evaluate IUGR in terms of the different types of aberrant fetal growth.

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