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

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.

Intensity and isoseismal map of 25th November 2007 Delhi earthquake

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.

A Comprehensive Study on the Importance of the Elbow and the Silhouette Metrics in Cluster Count Prediction for Partition Cluster Models

Proper selection of cluster count gives better clustering results in partition models. Partition clustering methods are very simple as well as efficient. Kmeans and its modified versions are very efficient cluster models and the results are very sensitive to the chosen K value. The partition clustering algorithms are more suitable in applications where the data are arranged in a uniform manner. This work aims to evaluate the importance of assigning cluster count value in order to improve the efficiency of partition clustering algorithms using two well known statistical methods, the Elbow method and the Silhouette method. The performance of the Silhouette method and Elbow method are compared with different data sets from the UCI data repository. The values obtained using these methods are compared with the results of cluster performance obtained using the statistical analysis tool Weka on the selected data sets. Performance was evaluated on cluster efficiency for small and large data sets by varying the cluster count values. Similar results obtained from the three methods, the Elbow method, the Silhouette method and the clustering by Weka. It was also observed that the fast reduction in clustering efficiency for small changes in cluster count when the cluster count is small.

HiC-DC+ enables systematic 3D interaction calls and differential analysis for Hi-C and HiChIP

Recent genome-wide chromosome conformation capture assays such as Hi-C and HiChIP have vastly expanded the resolution and throughput with which we can study 3D genomic architecture and function. Here, we present HiC-DC+, a software tool for Hi-C/HiChIP interaction calling and differential analysis using an efficient implementation of the HiC-DC statistical framework. HiC-DC+ integrates with popular preprocessing and visualization tools and includes topologically associating domain (TAD) and A/B compartment callers. We found that HiC-DC+ can more accurately identify enhancer-promoter interactions in H3K27ac HiChIP, as validated by CRISPRi-FlowFISH experiments, compared to existing methods. Differential HiC-DC+ analyses of published HiChIP and Hi-C data sets in settings of cellular differentiation and cohesin perturbation systematically and quantitatively recovers biological findings, including enhancer hubs, TAD aggregation, and the relationship between promoter-enhancer loop dynamics and gene expression changes. HiC-DC+ therefore provides a principled statistical analysis tool to empower genome-wide studies of 3D chromatin architecture and function.

Factors Affecting Fault Tolerance during Load Balancing in Cloud Computing

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).

EVALUATION OF GREEN MANUFACTURING IMPLEMENTATION ON REGULATION, COSTS, AND KNOWLEDGE

Introduction: This study aims to analyze whether there is motivation of knowledge, regulations, and costs on the effect of the application of Green Manufacturing. Part of green manufacturing has been implemented. However, its implementation is not easy for various reasons and it has not a significant effect on the industrial world from several sectors. Methods: Data collection methods include questionnaires and interviews. This study uses primary data obtained through direct respondents. The statistical analysis tool in this study uses SPSS.Results: Based on the results of data analysis and discussion, it shows that the knowledge variable has a positive effect on the motivation to implement green manufacturing. In addition, the second variable, namely regulation, also shows a positive effect on the motivation to implement green manufacturing. However, the third variable shows that costs have a negative effect on the motivation to implement green manufacturing.Conclusion and suggestion: The results of the analysis prove that the tempe business motivation in Ngawi on implementing green manufacturing tends to be low. This requires synergy between the government and tempe entrepreneurs to applicate the green manufacturing. For the government, there is a need some socialization regarding the application of green manufacturing so that your knowledge of the application of green manufacturing will increase.

Pengaruh Beban Kerja terhadap Kinerja Karyawan melalui Burnout Syndrome Pada PT. Perkebunan Nusantara X Pabrik Gula Tjoekir

This study aims to determine and analyze the effect of mediation variable burnout syndrome between workload on employee performance in PT. Perkebunan Nusantara X Pabrik Gula Tjoekir. This research is a type of research with a quantitative approach, with a population of permanent employees in PT. Perkebunan Nusantara X Pabrik Gula Tjoekir and the technique sampling with a sample saturated with a sample of 89 employees. The statistical analysis used in this study is Partial Least Square (PLS) analysis techniques and with software SmartPLS3. The statistical analysis tool in this study using the Partial Least Square (PLS) whit the software application SmartPLS3. The study results explained that workload has a positive and significant effect on employee performance, the workload has a positive and significant effect on burnout syndrome, burnout syndrome has a negative and significant effect on employee performance, and workload has no significant effect on employee performance through burnout syndrome. This study implies that if the company wants to improve employee performance, it must maintain environmental conditions, provide a portion of the work according to competence, control employee performance, and periodic job evaluation.

Pengaruh Capital Adequacy Rasio, Dana Pihak Ketiga, dan Non Performing Loan, terhadap Profitabilitas dengan LDR sebagai Variabel Intervening pada Bank Umum Konvensional di Indonesia

The Bank is an institution that has a role as a financial intermediary between parties who need funds and can facilitate the payment flows. Additionally, The Bank has a function as industries that rely on public trust, so the health level of the Bank needs to be maintained. Profitability is essential for a bank because it measures a company's effectiveness in generating profits by maximizing its assets. This research aim is to investigate the effect of Capital Adequacy Ratio (CAR), Third Parties Funds (TPF), dan Non-Performing Loan (NPL), on Profitability with LDR as Intervening Variables. This research population is conventional commercial banks in Indonesia between 2012 to 2016. This research type is causality research using quantitative data—the sampling technique using a purposive sampling total of 150 samples. The statistical analysis tool in this research is lane analysis with software versions of AMOS 22 and IBM SPSS. The conclusion from this research results that CAR, TAPI F, and NPL variables affect LDR. The CAR, TPF, and LDR variables have not affected profitability, while the NPL variable affects profitability. Furthermore, CAR, TPF, and NPL cannot mediated by LDR.

GENERAL ORGANIZATIONAL ASPECTS OF KNOWLEDGE MANGEMENT IN THE AREA OF COMPANY’S LOGISTICS

Participation in the supply chain by an enterprise increases the demand not only for information and competences of employees in relation to logistics activities but also in a broader management context. The aim of the study is therefore to determine, in the opinion of the respondents, the degree of care taken by their companies for the general organizational aspects of knowledge management in the sphere of logistics. For this purpose, two research questions were formulated. The first question is about how these opinions are presented in the perspective of individual aspects of knowledge management, and the second is about the possible relationship between them and the control variables, which are the size of the enterprise and the annual value of turnover. Appropriate hypotheses were formulated to answer the second question by the use of statistical analysis tool. The above-mentioned general-organizational aspects of knowledge management are formulated in the context of the processes of internalization and combinations originating from the Japanese knowledge management model. This allows the use of a well-established conceptual framework for knowledge management in the new cognitive perspective. The survey was conducted in the PSAQ formula. Respondents were purposely acquired by the use of convenient sampling. They were the so-called logistics professionals (n = 197), each time coming from a different company. At the same time, these companies remained part of the supply chains. The obtained result show, first of all, that the size of the enterprise and the annual turnover value significantly differentiate the opinions of respondents related to the variables expressing aspects of knowledge combination process.