Addition of Work Rate and Temperature Information to the Augmented NMRI Standard (ANS) Data Files in the NMR198 Subset of the USN N2-O2 Primary Data Set

2011 ◽  
Author(s):  
David J. Doolette ◽  
Wayne A. Gerth ◽  
Keith A. Gault
Keyword(s):  
Work Rate ◽  
Primary Data ◽  
Data Set ◽  
Data Files

The Impact of Social Capital on Human Wellbeing: Empirical Evidence from Azad Jammu and Kashmir (Pakistan)

2018 ◽  
pp. 130-155
Author(s):  
Fozia Munir ◽  
Mirajul Haq ◽  
Syed Nisar Hussain Hamadani
Keyword(s):  
Social Capital ◽  
Central Place ◽  
Jel Classification ◽  
Primary Data ◽  
Data Set ◽  
Jammu And Kashmir ◽  
Empirical Estimates ◽  
The Subject ◽  
Basic Hypothesis ◽  
The Impact

Maximization of wellbeing is the exceedingly targeted objective that conventional economics going forward. Keeping in view its central place, economists developed well-structured models and tools in order to measure and investigate wellbeing. In received literature, on the subject, various factors have been investigated that affecting wellbeing. However, wellbeing which is viewed from different approaches and is of a different form is not shaping equally with different types of factors. In this context, this study is an attempt to investigate how subjective wellbeing is affecting by social capital. The basic hypothesis is that “individual wellbeing moves parallel with its social capital”. The hypothesis is empirically tested using primary data set of 848 individuals collecting form Azad Jammu and Kashmir (Pakistan). The empirical estimates indicate that keeping other factors constant, an individual that embodied more social capital enjoy more wellbeing in their life. JEL Classification: B24, I30, C43

scholarly journals Credit composition and income inequality in Vietnam: an empirical analysis

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Le Quoc Hoi ◽  
Hương Lan Trần
Keyword(s):  
Income Inequality ◽  
Educational Level ◽  
Generalized Method Of Moments ◽  
Institutional Quality ◽  
Primary Data ◽  
Data Set ◽  
Content Type ◽  
Private Credit ◽  
The Impact

PurposeThis paper aims to examine the credit composition and income inequality reduction in Vietnam. In particular, the authors focus on the distinction between policy and commercial credits and investigate whether these two types of credit had adverse effects on income inequality. The authors also examine whether the impact of policy credit on income inequality is conditioned by the educational level and institutional quality.Design/methodology/approachThe authors use the primary data set, which contains a panel of 60 provinces collected from the General Statistics Office of Vietnam from 2002 to 2016. The authors employ the generalized method of moments to solve the endogenous problem.FindingsThe authors show that while commercial credit increases income inequality, policy credit contributes to reducing income inequality in Vietnam. In addition, we provide evidence that the institutional quality and educational level condition the impact of policy credit on income inequality. Based on the findings, the paper implies that it was not the size of the private credit but its composition that mattered in reducing income inequality, due to the asymmetric effects of different types of credit.Originality/valueThis is the first study that examines the links between the two components of credit and income inequality as well as constraints of the links. The authors argue that analyzing the separate effects of commercial and policy credits is more important for explaining the role of credit in income inequality than the size of total credit.

scholarly journals A computationally tractable birth-death model that combines phylogenetic and epidemiological data

2020 ◽  
Author(s):  
Alexander E. Zarebski ◽  
Louis du Plessis ◽  
Kris V. Parag ◽  
Oliver G. Pybus
Keyword(s):  
Transmission Rate ◽  
Epidemiological Data ◽  
Heterogeneous Data ◽  
Pathogen Transmission ◽  
Data Sources ◽  
Primary Data ◽  
Analytic Approximation ◽  
Data Set ◽  
Combining Data ◽  
Birth Death

Inferring the dynamics of pathogen transmission during an outbreak is an important problem in both infectious disease epidemiology and phylodynamics. In mathematical epidemiology, estimates are often informed by time-series of infected cases while in phylodynamics genetic sequences sampled through time are the primary data source. Each data type provides different, and potentially complementary, insights into transmission. However inference methods are typically highly specialised and field-specific. Recent studies have recognised the benefits of combining data sources, which include improved estimates of the transmission rate and number of infected individuals. However, the methods they employ are either computationally prohibitive or require intensive simulation, limiting their real-time utility. We present a novel birth-death phylogenetic model, called TimTam which can be informed by both phylogenetic and epidemiological data. Moreover, we derive a tractable analytic approximation of the TimTam likelihood, the computational complexity of which is linear in the size of the data set. Using the TimTam we show how key parameters of transmission dynamics and the number of unreported infections can be estimated accurately using these heterogeneous data sources. The approximate likelihood facilitates inference on large data sets, an important consideration as such data become increasingly common due to improving sequencing capability.

scholarly journals Czech households’ income conditions according to the EU SILC statistics

2010 ◽  
Vol 58 (3) ◽  
pp. 251-260 ◽  
Author(s):  
Ladislav Stejskal ◽  
Jana Pustinová ◽  
Jana Stávková
Keyword(s):  
Social System ◽  
Methodological Approach ◽  
Social Groups ◽  
Income Level ◽  
Primary Data ◽  
Data Set ◽  
Data Usage ◽  
The Social ◽  
Quantitative Indicators ◽  
The Eu

Article is devoted to evaluation of the Czech population’s income situation according to the inquiry realized within the frame of the Statistics on Income and Living Conditions (SILC) project. This was carried out by the Czech Statistical Office in the year 2005. Selected introductive analyses are presented with the view of pointing at the primary data usage possibilities. Main aim of the paper is to explicate basic quantitative indicators of Czech households’ income situation in general, then in division according to social groups and regional belonging. Consequent aim encompasses the identification and analysis of the income unevenness measure by the help of alternative methodological approach. The essential findings and income characteristics are introduced, including recomputation to the physical and so-called standardized member. In compliance with the predefined threshold the households endangered with the insufficient income level are identified. Insufficient income level means that household earnings cannot cover standard living costs. This part is followed by the brief statistical analysis of the data set of this group of households and the reference to other studies which are currently being pursued. Conclusion comprehends the spectrum of processes and analyses that could follow, or are already worked out, in concurrence with the existing findings. First of these, for example, is the income situation evaluation of seniors involved in the enquiry. Reason is that this segment is traditionally perceived as economically weak and more or less dependent on the social system settings.

scholarly journals CARINA data synthesis project: pH data scale unification and cruise adjustments

2009 ◽  
Vol 2 (1) ◽  
pp. 421-475 ◽  
Author(s):  
A. Velo ◽  
F. F. Pérez ◽  
X. Lin ◽  
R. M. Key ◽  
T. Tanhua ◽  
...  
Keyword(s):  
Quality Control ◽  
Southern Ocean ◽  
Data Sets ◽  
Data Set ◽  
Crossover Analysis ◽  
Abstract Data ◽  
Data Files ◽  
Systematic Biases ◽  
Oceanic Carbon ◽  
Inversion Analysis

Abstract. Data on carbon and carbon-relevant hydrographic and hydrochemical parameters from previously non-publicly available cruise data sets in the Artic Mediterranean Seas (AMS), Atlantic and Southern Ocean have been retrieved and merged to a new database: CARINA (CARbon IN the Atlantic). These data have gone through rigorous quality control (QC) procedures to assure the highest possible quality and consistency. The data for most of the measured parameters in the CARINA database were objectively examined in order to quantify systematic differences in the reported values, i.e. secondary quality control. Systematic biases found in the data have been corrected in the data products, i.e. three merged data files with measured, calculated and interpolated data for each of the three CARINA regions; AMS, Atlantic and Southern Ocean. Out of a total of 188 cruise entries in the CARINA database, 59 reported pH measured values. Here we present details of the secondary QC on pH for the CARINA database. Procedures of quality control, including crossover analysis between cruises and inversion analysis of all crossover data are briefly described. Adjustments were applied to the pH values for 21 of the cruises in the CARINA dataset. With these adjustments the CARINA database is consistent both internally as well as with GLODAP data, an oceanographic data set based on the World Hydrographic Program in the 1990s. Based on our analysis we estimate the internal accuracy of the CARINA pH data to be 0.005 pH units. The CARINA data are now suitable for accurate assessments of, for example, oceanic carbon inventories and uptake rates and for model validation.

Why employee engagement matters? Evidences from Delhi Metro Rail Corporation in India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vijay Kumar Shrotryia ◽  
Kirti Saroha ◽  
Upasana Dhanda
Keyword(s):  
Employee Engagement ◽  
Organizational Citizenship Behavior ◽  
Emotional Experience ◽  
Primary Data ◽  
Citizenship Behavior ◽  
Data Set ◽  
Action Orientation ◽  
Content Type ◽  
The Impact ◽  
The Relationship

PurposeThe purpose of this paper is to shed light on the relationship between organizational commitment (OC) and organizational citizenship behavior (OCB) as mediated by employee engagement (EE). The impact of different facets of OC (affective, continuance and normative) and EE (alignment, affectiveness and action-orientation) is examined with respect to OCB.Design/methodology/approachInsights from the literature underpin the hypotheses on how EE mediates the relationship between OC and OCB. Primary data using survey questionnaire were collected from 881 permanent employees of Delhi Metro Rail Corporation (DMRC) in India. Hayes' model 4 has been used for the mediation analysis.FindingsThe analyses show that only one facet of OC- affective commitment and the alignment and action-orientation dimensions of EE positively affect OCB. The relationship between OC and OCB is fully mediated by EE.Practical implicationsThe results imply that engaging employees is pivotal for effectively fostering citizenship behavior among employees. Organizations should be willing to implement strategies and interventions which enhance the emotional experience of employees to foster a sense of belongingness with the organization and engage them.Originality/valueThe paper draws on a unique data set of a prestigious organization in India to provide insights with substantial degree of generalizability into the relationship between OC, OCB and EE, whilst applying a comprehensive definition of these constructs. It is the first study to examine the inter-relationship among different facets of these constructs.

Impact of occupational migration of unskilled labourer from domestic agriculture on farm business income in source households of Assam, India

2020 ◽  
Vol 47 (12) ◽  
pp. 1561-1576
Author(s):  
Bodrul Islam ◽  
Pradyut Guha
Keyword(s):  
Strong Predictor ◽  
Least Square ◽  
Primary Data ◽  
Data Set ◽  
Content Type ◽  
Brahmaputra Valley ◽  
Business Income ◽  
Farm Business ◽  
On Farm ◽  
Unskilled Labourer

PurposeThe present study aims at examining the determinants of occupational migration of unskilled labourer from domestic agriculture and their impact on farm business income (FBI) in Assam, India.Design/methodology/approachPrimary data for this study were collected during June–November, 2019 from 224 farm (cultivator) households in two contiguous districts in central Brahmaputra valley of Assam. The study used three-stage least square (3SLS) estimation technique for jointly determining the factors influencing migration and remittances and their impact on FBI.FindingsThe result of this study confirms that occupational migration of unskilled labourer from domestic agriculture significantly reduced household FBI. In contrast to the inflow of remittances from migrants helped in increasing the FBI. The migration in the study area considerably influenced by household size, total value of assets holding, networking influence, distance to commercial bank and flood proneness of the village; while the number of migrants, number of dependents and age of migrants seen to be strong predictor of inflow of remittances. Findings of present study offer evidence in support of the new economics of labour migration (NELM) theory.Research limitations/implicationsThe study is restricted to a single crop (paddy) and constrained by the collection of longitudinal data with a revisit to the farm household pre and post-migration of the unskilled labourer from household agriculture.Originality/valueThis paper is based on a novel data set that has especially been collected to examine the determinants of occupational migration from agriculture and their impact on the FBI in Assam that has not been studied before.

scholarly journals Multivariate Statistical Analysis of Spectrum Lines and Images

1997 ◽  
Vol 3 (S2) ◽  
pp. 931-932 ◽  
Author(s):  
Ian M. Anderson ◽  
Jim Bentley
Keyword(s):  
Statistical Analysis ◽  
Multivariate Statistical Analysis ◽  
Quantitative Imaging ◽  
Boundary Segregation ◽  
Large Data ◽  
Data Sets ◽  
Multivariate Statistical ◽  
Data Set ◽  
Recent Developments ◽  
Data Files

Recent developments in instrumentation and computing power have greatly improved the potential for quantitative imaging and analysis. For example, products are now commercially available that allow the practical acquisition of spectrum images, where an EELS or EDS spectrum can be acquired from a sequence of positions on the specimen. However, such data files typically contain megabytes of information and may be difficult to manipulate and analyze conveniently or systematically. A number of techniques are being explored for the purpose of analyzing these large data sets. Multivariate statistical analysis (MSA) provides a method for analyzing the raw data set as a whole. The basis of the MSA method has been outlined by Trebbia and Bonnet.MSA has a number of strengths relative to other methods of analysis. First, it is broadly applicable to any series of spectra or images. Applications include characterization of grain boundary segregation (position-), of channeling-enhanced microanalysis (orientation-), or of beam damage (time-variation of spectra).

scholarly journals 2139

2017 ◽  
Vol 1 (S1) ◽  
pp. 57-57
Author(s):  
Nilay Shah ◽  
Julia Selich-Anderson
Keyword(s):  
Mrna Expression ◽  
Patient Outcomes ◽  
Tumor Stroma ◽  
Primary Data ◽  
Clinical Use ◽  
Data Set ◽  
Neuroblastoma Tumor ◽  
Tumor Bank ◽  
Fresh Frozen ◽  
Validation Set

OBJECTIVES/SPECIFIC AIMS: (1) Correlate PBX1 mRNA expression as measured by RNAScope in situ hybridization, at an RNA number/cell measurement, Versus by RT-qPCR by the ddCt method. (2) Validate PBX1 mRNA expression in a second independent cohort of neuroblastoma tumor samples, and correlate with patient outcomes. We expect that PBX1 expression will correlate whether detected by RNAScope or by RT-qPCR. This work has the promise of validating a novel biomarker of disease severity, and for clinical translation as the RNAscope technology has been CLIA-certified for clinical use for other genes. METHODS/STUDY POPULATION: Primary neuroblastoma tumor samples were acquired through the Children’s Oncology Group Tumor Bank, The Cooperative Human Tissue Network Tumor bank, and the Westmeade Tumor Bank (Westmeade, Australia), with patient outcomes annotated but sequestered until experiments are completed. RT-qPCR is performed using 1 μg total RNA isolated from each sample by Nucleospin RNA kit (Clontech), reverse transcribed by SuperScript VILO (ThermoFisher Scientific) and amplified using KiCqSTART SYBR Green qPCR mix (Sigma Aldrich). RNAScope was performed on sections of fresh frozen tumor, in triplicate, per manufacturer protocol (ACDBio) using company-designed probes. Statistical analyses performed using GraphPad Prism5. RESULTS/ANTICIPATED RESULTS: PBX1 mRNA expression as measured RNAScope correlated well with matched RT-qPCR values, with most PBX1 transcripts identified within the malignant cells and not in tumor stroma. Correlation with patient outcomes is ongoing (expected to be available at the time of presentation), but as the RNAScope values correlate with R>0.9 with RT-qPCR values, we expect good correlation with outcomes in our primary data set and matching validation set. DISCUSSION/SIGNIFICANCE OF IMPACT: PBX1 mRNA expression is an accurate prognostic biomarker of outcome in low and intermediate-risk neuroblastoma, and testing on an additional validation set is planned based on thresholds established by RNAScope. RNAScope is a method readily translatable to clinical use and its inclusion in future clinical trials will be further studied. It provides an additional benefit that concomitant immunohistochemistry can also be performed. Analysis of high-risk neuroblastomas for responsiveness to retinoic acid based on PBX1 expression is planned.

scholarly journals Chinese reverse M&As in the Netherlands: Chinese managers’ trust building practices

2019 ◽  
Vol 14 (1) ◽  
pp. 69-91
Author(s):  
Zhe Sun ◽  
Liang Zhao
Keyword(s):  
The Netherlands ◽  
Developed Countries ◽  
Third Party ◽  
Primary Data ◽  
Trust Building ◽  
Data Set ◽  
Content Type ◽  
Personal Trust ◽  
Nuanced Understanding ◽  
Chinese Managers

Purpose Building trust is critical in reverse mergers and acquisitions (M&As), attributed to the divergence of governance and culture between the East and the West. This paper aims to explore the barriers and trust-building practices of Chinese managers in reverse M&As in developed countries. Design/methodology/approach The primary data set of this research contains case studies of two Chinese M&A deals and in-depth interviews with managers and advisories in the Netherlands. Findings This research finds that the divergences of decision-making structure, communication style and trust orientation generate barriers to the trust building in Chinese reverse M&As. The third-party advisory participation helps to build cognition-based trust of acquired company managers on Chinese acquiring company managers through providing information and explanation, fitting Chinese buyers in the Western M&A procedure and offering communication. It also helps to build affect-based trust through bridging the divergence of trust orientation and filling the cultural voids. Meanwhile, the invisible integration helps to build cognition-based trust through maintaining the core business, offering great help to acquired companies for their business expansion and selecting the business collaboration areas in the long term. It also helps to build affect-based trust through granting a high degree of governance independence and enabling a balanced status in acquired companies. Originality/value This research unveils the “black box” of Chinese reverse M&As from an inter-personal trust perspective and advances the nuanced understanding of trust and trust-building practices in Chinese reverse M&As. It also provides practical tools for both Chinese companies and acquired companies in developed countries.

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