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Determination of sub-ps lattice dynamics in FeRh thin films
No full textOpen Access Data for "Determination of sub-ps lattice dynamics in FeRh thin films" published in Scientific Reports 12, 8584 (2022)
https://doi.org/10.1038/s41598-022-12602-w
Please not that files attached to version v1 belong to another setup of experiments. So please refer to the most recent version (10.5281/zenodo.6365342) of the files to make sure to have access to the relevant materia
Religion and cultural capital UK
No full text<p>Project on cultural capital profiles of religious identity groups in the UK</p>
A single cell atlas of the human liver tumor microenvironment
No full text<p>Matlab scripts used to analyze data associated with the manuscript entitled "A single cell atlas of the human liver tumor microenvironment".</p>
<p>*please used Matlab 2019b to run the following m files.</p>
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<p>Files:</p>
<p>inputData.mat: Matlab structure file contains input data needed to run the different analyses done in the paper. This file is a structure type file the contains several data structures, including a) 'hint': structure contains raw and processed UMI counts. 'xy': cells coordinates, 'metadata': cells metadata, b) 'tbl' table - a key table includes cell types cluster names, colors for the cell types. The last Zenodo submission includes sample label changes.</p>
<p>Create_Interactions_Network.m: Matlab script used to calculate Ligand-Receptor interaction score between different cell types. The script creates panels for Figure 4 and Datasets_EV5.</p>
<p>Hepatocytes_Reconstruction.m: Matlab script used to reconstruct human hepatocytes zonation along the lobule axis. The script creates panel C Figure 5, Appendix Figure S7, and Datasets_EV7.</p>
<p>LCM_deconvolution.zip: this folder contains the input, output, and python script files used to conduct the deconvolution analysis for laser captured bulk samples from different tumor sites including tumor border (tb), tumor core (tc), the border between the tumor and the fibrotic regions (ftb), tumor islets within the fibrotic regions (ti) and fibrotic zones (fz). Input files including the fractions of UMI count normalized by the sum of the UMIs per cell 'sc_tbl_input_file.csv' and cpm values for the laser captured zones calculated by edgeR package. Default settings was used for calcNormFactor function, 'lcm_tbl_input_file'. The output file 'deconv_liver_tumor_AutoGeneS_output_file.xlsx' used to create the violin plot in panel C figure 6.</p>
<p>helperFunctions.zip: This folder contains required functions used by the m files.</p>
Influence of Organizational Culture on Employees Engagement with special reference to Hospitality Sector in Delhi/NCR
No full text<h1><span>Abstract: </span><span>It is imperative for organizations to nurture, develop and engage employees to combat the challenges of a dynamic business world. Organizations need to build a conducive culture that drives employee engagement to be able to emotionally align with the culture and thus direct discretionary efforts, in the form of extra time, mental ability, passion and energy for achieving organizational and their own wellbeing. This study aimed to explore the relationship between organizational culture and employee engagement in the context of hospitality sector in National Capital Region (NCR) with a sample size of 300 respondents. To achieve the study objectives, the techniques of Exploratory Factor analysis and Confirmatory Factor Analysis (CFA) were used followed by the SEM to test the hypothesized relationship between the construct dimensions of the study. The findings revealed that all the OCTAPACE dimensions, except Collaboration dimension, were significantly related with employee engagement in the context of hospitality sector. Thus, taking clues from this organization can strategize to build a culture that drives employee engagement.</span></h1>
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<p><strong><span>Keywords: </span></strong><span>Employee Engagement, Organizational Culture, OCTAPACE Values</span></p>
Atlas of the immune system development in the fetal blood
No full text<p>Unprecedent information have been obtained to understand the ontogeny of immune cells in lymph organs during early fetal development. However, little is known about immune cells and host factors in the blood. Here we generated the first comprehensive atlas of blood cells and proteins throughout the fetal development using the multiomics approaches. The temporal changes of blood cells play important roles in development and maturation of the fetal immune system. Some proteins in the blood are excellently correlated with gestation weeks. The gradual increases of CDR3 lengths over time through multiple pathwyas markedly increase the diversity of TCR and BCR repertoires. Our comprehensive atlas is highly valuable for understanding the development of fetal immune system and studying the disorders that associated with fetal immune system.</p>
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<p>Cell types, distributions and origins in early fetal tissues have been well studied using the single cell analysis approaches in recent years (<em>1</em>). Unprecedent data have been accumulated to comprehend the immune cell development in great details (<em>2, 3</em>). This has led to a much better understanding of ontogeny of immune cells in lymph organs and peripheral tissues during early fetal development. It is well established that yolk sac and the aorta gonad mesonephros (AGM) are the sources of immune cells, which subsequently seed into the liver, thymus and bone merrow, and finally reach to the peripheral organs (<em>1</em>). However, previous studies have focused on development of immune cells in the early stage (< 20 postconceptional weeks; pcw) of fetuses (<em>1</em>). The analyses were often limited by the small number of the cells available and only mRNA transcripts from single cells have been analyzed. The blood plays a critical role by transferring immune cells back and forth between lymph organs and peripheral tissues to ensure the normal development of the immune system. However, little is known about the status of the immune cells and host protein factors in the blood during the fetal development. </p>
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<p>Here, we performed multiomics analyses of individual blood cells and proteins as well as cell functions of blood cells after stimulation throughout the fetal development. These results allow us to comprehensively and systematically investigate the immune system in the fetal blood from the time when the blood circulation system become complete at 12 pcw to the near full term of pregnancy (39 pcw). These data together allowed us to generate a detailed atlas of immune system development in the fetal blood.</p>
Relationship between Stock Price and Macroeconomic Variables: Empirical Evidence from the Asia-Pacific Region
No full text<p><strong>Abstract: </strong>This paper examines the relationship between stock price and various macroeconomic variables (economic growth, inflation, money supply, exchange rate and interest rate) in Asia-Pacific region for the period from 1998Q3 to 2021Q1. The study considered ten countries of Asia-Pacific region, i.e., India, Malaysia, Hong Kong, Singapore, South Korea, Japan, China, Indonesia, Philippines and Thailand. The study employed panel unit root tests, panel cointegration tests, dynamic ordinary least square (DOLS) estimator and panel vector error correction model to study the long-run and short-run relationship among the variables. The findings suggest that there exists a robust long-run economic relationship between stock price and various macroeconomic variables. In short-run, the study reveals a complex network of causal relation using Granger causality test. The results of DOLS estimation show that coefficients of economic growth, inflation, money supply and exchange rate are positive except interest rate which is negative and significant at 5% level.</p><p><strong>JEL Classification: </strong>G10, E44, C23, N25</p><p><strong>Keywords: </strong>Stock Price, Macroeconomic Variables, Panel Data Analysis, DOLS, Asia-Pacific Region</p>
Russia Interview Transcripts Sverdlovsk Oblast and Tatarstan
No full text<p>Interview transcripts in Russian taken by members of the Gulag Echoes team between October 2019 and February 2021. Taken in Sverdlovsk Oblast and Tatarstan Republic of the Russian Federation.</p>
Russian Interview Transcripts_sub-contract Z
No full text<p>Transcripts in Russian taken by the Gulagechoes team between 2018 and 2020.</p>
Asymmetric Market Risk, Accounting Quality and Cost of Capital: Evidence from Taiwan Capital Market
No full text<p><strong>Abstract</strong>: Financing decisions have always been regarded as important to company operations. The capital structure of a company has always been an important issue of financial research. This research mainly attempts to answer the previous literature on the inconsistency of the relationship between accounting quality and cost of capital. This study examines the ways in which accounting quality can affect the cost of capital through asymmetric market risk. In order to study the issue, a regression model is used. The dataset consisting of companies listed on the Taiwan Stock Exchange includes 317 companies as a sample, providing a total of 7,731 company-year observations. The findings reveal that the cost of capital has a positive correlation with asymmetric market risk, and that asymmetric market risk is found to have a corresponding positive association with accounting quality. The results provide support for the general view that asymmetric market risk would appear to be a more appropriate measure than symmetric market risk when linking accounting quality to the cost of capital.</p><p><strong>Keywords: </strong>Excess Risk Premium, Financial Statement, Downside Risk, CAPM</p><p><strong>JEL Classification Number: </strong>C32, D84</p>
Herding in the Indian Stock Market: Evidence from High-frequency Data
No full text<p><strong>Abstract: </strong>This study provides evidence on herding using intra-day index-level data on the Nifty index for a period of five months spanning November 2021 to March 2022. The results suggest a new set of empirical steps to identify and analyze the presence of herding. The results show the detection of coefficient of Speed of information adjustment followed by the application of the Cross-Sectional Absolute Deviation (CSAD) model to determine the polarity of β, the determinant of the presence of herding. Finally, use of time series clustering to group different indices/data having similar properties is reported.</p><p><strong>Keywords:</strong> Herding, Clustering, Informational Efficiency, Financial Market, Nifty Index</p><p><strong>JEL Classification Number:</strong> D53, G14</p>