scholarly journals Intensity and isoseismal map of 25th November 2007 Delhi earthquake

MAUSAM ◽  
2021 ◽  
Vol 62 (3) ◽  
pp. 417-424
Author(s):  
RAJESH PRAKASH ◽  
R.K. SINGH ◽  
A.K. SHUKLA ◽  
D. SINGH ◽  
B.S. RANA ◽  
...  
Keyword(s):  
Focal Depth ◽  
Analysis Tool ◽  
Stress Release ◽  
Isoseismal Map ◽  
Intensity Field ◽  
Statistical Analysis Tool ◽  
The Mean ◽  
Local Populace ◽  
Earthquake Effects ◽  
Macroseismic Survey

An earthquake of magnitude ML: 4.3 occurred on 25th November 2007 (2312 UTC) in Delhi with hypocenter at 28.56° N / 77.08° E and focal depth 33.1 km. The epicenter was at about 21 km SW of Delhi University. It was widely felt in and around Delhi and created panic among the local populace. A macroseismic survey was conducted in about ten days starting from 27th November, 2007 at 89 locations covering an area of about 1500 sq. km in Delhi and its neighborhood through a questionnaire. The results of the macroseismic survey allowed establishment of spatial distribution of the earthquake effects in the form of isoseismal map generated using geo-statistical analysis tool of ArcGIS 9.1. The isoseismal map shows that most parts of Delhi region experienced an intensity of V on MMI scale, except on northern most region of Delhi where intensity was found IV. The mean isoseismal radii for the zones V, IV, III and II are 29.13, 57.78, 83.63 and 100.75 km, respectively. The orientation of elongated epicentral track of intensity field shows that the stress release was pronounced along Delhi-Sargodha ridge and earthquake was attributed to activities of this ridge.

Volumetric quantification of aneurysmal subarachnoid hemorrhage independently predicts hydrocephalus and seizures

2021 ◽  
pp. 1-9
Author(s):  
Badih J. Daou ◽  
Siri Sahib S. Khalsa ◽  
Sharath Kumar Anand ◽  
Craig A. Williamson ◽  
Noah S. Cutler ◽  
...  
Keyword(s):  
Subarachnoid Hemorrhage ◽  
Aneurysmal Subarachnoid Hemorrhage ◽  
Characteristic Curve ◽  
Volumetric Analysis ◽  
Aneurysm Rupture ◽  
Mean Difference ◽  
Analysis Tool ◽  
Volume Data ◽  
Hemorrhage Volume ◽  
The Mean

OBJECTIVEHydrocephalus and seizures greatly impact outcomes of patients with aneurysmal subarachnoid hemorrhage (aSAH); however, reliable tools to predict these outcomes are lacking. The authors used a volumetric quantitative analysis tool to evaluate the association of total aSAH volume with the outcomes of shunt-dependent hydrocephalus and seizures.METHODSTotal hemorrhage volume following aneurysm rupture was retrospectively analyzed on presentation CT imaging using a custom semiautomated computer program developed in MATLAB that employs intensity-based k-means clustering to automatically separate blood voxels from other tissues. Volume data were added to a prospectively maintained aSAH database. The association of hemorrhage volume with shunted hydrocephalus and seizures was evaluated through logistic regression analysis and the diagnostic accuracy through analysis of the area under the receiver operating characteristic curve (AUC).RESULTSThe study population comprised 288 consecutive patients with aSAH. The mean total hemorrhage volume was 74.9 ml. Thirty-eight patients (13.2%) developed seizures. The mean hemorrhage volume in patients who developed seizures was significantly higher than that in patients with no seizures (mean difference 17.3 ml, p = 0.01). In multivariate analysis, larger hemorrhage volume on initial CT scan and hemorrhage volume > 50 ml (OR 2.81, p = 0.047, 95% CI 1.03–7.80) were predictive of seizures. Forty-eight patients (17%) developed shunt-dependent hydrocephalus. The mean hemorrhage volume in patients who developed shunt-dependent hydrocephalus was significantly higher than that in patients who did not (mean difference 17.2 ml, p = 0.006). Larger hemorrhage volume and hemorrhage volume > 50 ml (OR 2.45, p = 0.03, 95% CI 1.08–5.54) were predictive of shunt-dependent hydrocephalus. Hemorrhage volume had adequate discrimination for the development of seizures (AUC 0.635) and shunted hydrocephalus (AUC 0.629).CONCLUSIONSHemorrhage volume is an independent predictor of seizures and shunt-dependent hydrocephalus in patients with aSAH. Further evaluation of aSAH quantitative volumetric analysis may complement existing scales used in clinical practice and assist in patient prognostication and management.

scholarly journals Factors Affecting Fault Tolerance during Load Balancing in Cloud Computing

2021 ◽  
Vol 12 (11) ◽  
pp. 1523-1533
Author(s):  
Bidush Kumar Sahoo , Et. al.
Keyword(s):  
Cloud Computing ◽  
Fault Tolerance ◽  
Load Balancing ◽  
South India ◽  
Analysis Tool ◽  
Factors Affecting ◽  
Software Firms ◽  
Statistical Analysis Tool ◽  
Cost Efficient ◽  
Support Cost

Cloud computing is built upon the advancement of virtualization and distributed computing to support cost-efficient usage of computing resources and to provide on demand services. After methodical analysis on various factors affecting fault tolerance during load balancing is performed and it is concluded that the factors influencing fault tolerance in load balancing are cloud security, adaptability etc. in comparatively more software firms. In this paper, we have created a model for various IT industries for checking the fault tolerance during Load balancing. An exploration is done with the help of some renowned IT farms and industries in South India. This work consists of 20 hypotheses which may affect the fault tolerance during load balancing in South India. It is verified by using potential statistical analysis tool i.e. Statistical Package for Social Science (SPSS).

Setting Up and Running a Q-Methodology Study in an Online Survey Research Suite

2022 ◽  
pp. 417-451
Author(s):  
Shalin Hai-Jew
Keyword(s):  
Statistical Analysis ◽  
Survey Research ◽  
Quantitative Data ◽  
Q Methodology ◽  
Online Survey ◽  
Analysis Tool ◽  
Q Method ◽  
Statistical Analysis Tool ◽  
Q Sort ◽  
Basic Statistical Analysis

The q-method, as a graphic (visual) elicitation, has existed since the mid-1930s. Setting up a q-method, with q-sort capabilities, in an online survey platform, extends the reach of this method, even as data has to be processed in a quantitative data analytics suite. This chapter describes the setting up of a visual q-sort and the related debriefing on the Qualtrics Research Suite. The available data may be extracted and analyzed in a basic statistical analysis tool for factors and preference clusters.

Identification of critical brand community variables and constructs using importance-performance analysis and neural networks

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Matti Haverila ◽  
Kai Christian Haverila ◽  
Caitlin McLaughlin
Keyword(s):  
Neural Networks ◽  
Statistical Analysis ◽  
Online Survey ◽  
Customer Engagement ◽  
Analysis Tool ◽  
Brand Community ◽  
Content Type ◽  
Target Construct ◽  
Statistical Analysis Tool ◽  
And Performance

Purpose This paper aims to use a unique statistical analysis tool to examine the importance and performance of critical brand community constructs and indicators to make concrete recommendations for brand community managers going forward. Design/methodology/approach An online survey was used to gather 501 responses from North American members of the Qualtrics panel. The data was analyzed with partial least squares (PLS) modeling software SmartPLS and neural networks available in statistical software JMP by SAS. Findings Using the brand community motives by Madupy and Cooley (2010), the results of this paper indicated that there was significant room for improvement in customer engagement. Based on further analysis, entertainment and identification with the brand community were the most important constructs in driving community engagement so that the identification construct received a “do better” ruling meaning that the improvement of the indentification construct score would enhance significantly the score of the target construct engagement score. Originality/value For brand community managers, it is important to know the true importance of the critical brand community constructs and indicators, along with an assessment of current performance. This helps to increase satisfaction and relationship quality among brand community members. The current study uses unique statistical analysis tools to make such concrete recommendations.

scholarly journals Characterizing the Variability and Extremes of the Stratospheric Polar Vortices Using 2D Moment Analysis

2011 ◽  
Vol 68 (6) ◽  
pp. 1194-1213 ◽  
Author(s):  
Daniel M. Mitchell ◽  
Andrew J. Charlton-Perez ◽  
Lesley J. Gray
Keyword(s):  
Extreme Value Theory ◽  
Planetary Wave ◽  
Value Theory ◽  
Extreme Value ◽  
Moment Analysis ◽  
Analysis Tool ◽  
Sudden Stratospheric Warming ◽  
Extreme Variability ◽  
The Mean ◽  
The Moment

Abstract The mean state, variability, and extreme variability of the stratospheric polar vortices, with an emphasis on the Northern Hemisphere (NH) vortex, are examined using two-dimensional moment analysis and extreme value theory (EVT). The use of moments as an analysis tool gives rise to information about the vortex area, centroid latitude, aspect ratio, and kurtosis. The application of EVT to these moment-derived quantities allows the extreme variability of the vortex to be assessed. The data used for this study are 40-yr ECMWF Re-Analysis (ERA-40) potential vorticity fields on interpolated isentropic surfaces that range from 450 to 1450 K. Analyses show that the most extreme vortex variability occurs most commonly in late January and early February, consistent with when most planetary wave driving from the troposphere is observed. Composites around sudden stratospheric warming (SSW) events reveal that the moment diagnostics evolve in statistically different ways between vortex splitting events and vortex displacement events, in contrast to the traditional diagnostics. Histograms of the vortex diagnostics on the 850-K (~10 hPa) surface over the 1958–2001 period are fitted with parametric distributions and show that SSW events constitute the majority of data in the tails of the distributions. The distribution of each diagnostic is computed on various surfaces throughout the depth of the stratosphere; it shows that in general the vortex becomes more circular with higher filamentation at the upper levels. The Northern and Southern Hemisphere (SH) vortices are also compared through the analysis of their respective vortex diagnostics, confirming that the SH vortex is less variable and lacks extreme events compared to the NH vortex. Finally, extreme value theory is used to statistically model the vortex diagnostics and make inferences about the underlying dynamics of the polar vortices.

Investigation of Large-Scale Structures Behind a Single Tube (Finned and Foamed Tube) Using Two-Point Correlations

2014 ◽  
Author(s):  
Iman Ashtiani Abdi ◽  
Morteza Khashehchi ◽  
Kamel Hooman
Keyword(s):  
Reynolds Number ◽  
Large Scale ◽  
Cross Flow ◽  
Reynolds Numbers ◽  
Finned Tube ◽  
Flow Structures ◽  
Analysis Tool ◽  
Standard Case ◽  
Statistical Analysis Tool ◽  
Point Correlation

Flow structures downstream of a finned-tube are compared to those of an identical pipe; with the same diameter and length, covered with a foam layer. The standard case of cross-flow over a bare tube, i.e. no surface extension, is also tested as a benchmark. Experiments are conducted in a wind tunnel at Reynolds numbers of 4000 and 16000. Particle image velocimetry (PIV) was used for flow visualization on two different perpendicular planes. To characterize the size of the flow structures downstream of the tube, for each of the aforementioned case, two-point correlation, as a statistical analysis tool, has been used. It has been observed that by decreasing the Reynolds number, the flow structures are further stretched in streamwise direction for both bare and finned-tube cases. This is, however, more pronounced with the former. Interestingly, with a foam-wrapped tube the sizes of the flow structures are found to be independent of the Reynolds number. Finally, the structure sizes are smaller in the case of the foam-wrapped tube compared to those of finned-tube.

scholarly journals PENGARUH PENERAPAN APLIKASI e-GOVERNMENT PEMBAYARAN PAJAK KENDARAAN BERMOTOR TERHADAP KINERJA CASH ADMINSTRATION (Studi Kasus di Kantor Unit Pelaksana Teknis Dinas Pendapatan Provinsi Jawa Timur Trenggalek)

2016 ◽  
Vol 2 (01) ◽  
Author(s):  
Sungging Purwokoadi
Keyword(s):  
Hypothesis Testing ◽  
Banking System ◽  
Primary Data ◽  
Analysis Tool ◽  
Public Performance ◽  
The Public ◽  
Correlational Research ◽  
Statistical Analysis Tool ◽  
The Subject

This study entitled "The Effect Of E-Government Applications Vehicle TaxPayments On The Performance Of Cash Administration". Revolutionarytechnology telecommunications, media and information technology (ICT)affects the increasing demands and expectations of the public on fast publicservice, accurate, and inexpensive but excellent. Democratization, impacting theincreasing demands people's participation in public policy, demandtransparency, accountability and quality of public performance. Descriptiveresearch is a study of the problems in the form of the current facts of apopulation which aims to test hypotheses or answer questions relating to thecurrent state of the subject under study. Correlational research is to study thecharacteristics of the problem in the form of a correlational relationship betweentwo or more variables which aims to determine whether there is an associationbetween two or more variables, as well as how far the correlation that existsbetween the variables studied. The research method of data with secondary dataresearch types are the type of research data obtained institutional data from theUnit Pelaksana Teknis Dinas Pendapatan Provinsi Jawa Timur throughobservation, also use this type of research primary data obtained through fieldsurveys. The research sample used all employees serve as responden. Thecollecting data through observation and questionnaire. Answer the problemformulation used descriptive statistical analysis tool with the help of a frequencytable and regression models using SPSS release 16. Hypothesis testing produces,indicating that the hypothesis 1 is accepted, it means the variable partialapplication of e-Banking System has a positive and significant impact on theperformance of Cash Adminstration. The results of hypothesis testing indicatesthat the hypothesis 2 in this study received, meaning that in partial RevenueApplication Implementation (SAP) has a positive and significant impact on theperformance of Cash Adminstration Variation of performance can be explainedby the Adminstration Cash independent variables of e-Banking SystemImplementation and Application of Revenue Application (SAP) and while the explained by other factors. The Performance of Cash Administration will riseproperly Implementation of e-Banking System and Application SystemApplication Revenues(SAP) is well managed.

scholarly journals KAJI-SAIEARTHQUAKEonNovember 14, 2014 withКР=13.7, Mw=5.4, I0=7 (Kyrgyzstan, SouthernIssyk-Kul’)

2020 ◽  
pp. 364-374
Author(s):  
V. Grebennikova ◽  
A. Frolova ◽  
N. Bagmanova ◽  
A. Berezina ◽  
A. Pershina ◽  
...  
Keyword(s):  
Main Shock ◽  
Weather Conditions ◽  
Reverse Fault ◽  
Depth Range ◽  
Southern Coast ◽  
Epicentral Zone ◽  
Isoseismal Map ◽  
Fault Type ◽  
Macroseismic Survey ◽  
H 20

Information on the earthquake with Mw=5.4 that occurred on the southern coast of the Issyk-Kul lake on the southwestern slope of the Tegerek mountains (Kyrgyzstan) on November 14, 2014 is given. The epicenter is located in the Jumgalo-Terskey zone, identified as the Tonsky block, in which felt earthquakes with intensity up to 7 have occurred repeatedly. 231 aftershocks were recorded in the first day, in the second day – 13 aftershocks, then seismic activity decreased. Most of the aftershocks are localized in the depth range of 17–21 km, close to the depth of the main shock (h=20 km). The earthquake had the reverse fault type. Macroseismic survey was fulfilled only in the epicentral zone due to the complex weather conditions (late autumn, highlands). The theoretical isoseismal map was created for receiving the more complete picture of the earthquake impact outside of its epicentral zone.

scholarly journals SMEs' View on the Theory of Planned Behaviour and Penalty Magnitude: Preliminary Findings from Nigeria

2017 ◽  
Vol 3 (1) ◽  
pp. 39-50
Author(s):  
Hannatu Yohanna Gimba ◽  
Idawati Ibrahim
Keyword(s):  
Negative Relationship ◽  
Subjective Norms ◽  
Behavioural Control ◽  
Analysis Tool ◽  
Policy Makers ◽  
Perceived Behavioural Control ◽  
Statistical Analysis Tool ◽  
Strongly Agree ◽  
Relationship Of ◽  
The Relationship

Purpose: This paper investigates the relationship between penalty magnitude, attitude towards VAT compliance, subjective norms and perceived behavioural control on VAT compliance intention among SMEs in Nigeria. Methodology: Data was gathered through administration of 30 questionnaires. The respondents are SMEs in Kano, Nigeria. 23 indicator items were measured on 5-point Likert Scale from 1 (strongly disagree) to 5 (strongly agree). IBM SPSS Statistics 23 was employed as the primary statistical analysis tool for the study. Findings: The result indicates positive relationship of penalty magnitude, subjective norms and perceived behavioural control on VAT compliance intention, while attitude towards VAT compliance has negative relationship with VAT compliance intention. Implications: This study recommends a blend of economic and socio-psychological factors in tackling VAT compliance among SMEs, as that will encourage the SMEs to remit the VAT collections and also assist the policy makers to map-out policies that would ensure an effective management of VAT revenue and compliance among SMEs in Nigeria and other developing countries. Further studies on a larger number of respondents should be conducted to test the consistency of the results.

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