The Impact COVID-19 Pandemic on Productivity of Tax Return Document Processing in the New Normal Era at Tax Data and Document Processing Center

This study aims to determine the impact of the Covid-19 Pandemic on the productivity of  documents in the New Normal Era at PPDDP. This type of research is a descriptive study, with a research focused by analyzing the production of Tax Return document processing before and after the Covid-19 pandemic. The Purpose of this scientific article is to provide a new view to the State Civil Service (SCS) that the normal era is a pushing factor or triger for future organizational management innovation.The method used in this study is a qualitative approach. Data collection was carried out through direct interviews with employees in the Taxation Data and Document Processing Center. The key informants in this study were employees of the Document Collection and Receiving Section and the Recording and Data Transfer Section. This study shows that there were changes in behavior and habits at work such as lessening work days due to the Work From Office and Work From Home policies leading to a significant decrease in the productivity of Tax Return document processing. The higher number of employees and work days (as well as work hours/day) in office the higher number of processed Tax Return documents. The number of Tax Return documents processing in the new era is normal has significant decreased due to limited human resources available in office and  decreasing work days. 

Methods for measuring the citations and productivity of scientists across time and discipline

Publication statistics are ubiquitous in the ratings of scientific achievement, with citation counts and paper tallies factoring into an individual's consideration for postdoctoral positions, junior faculty, tenure, and even visa status for international scientists. Citation statistics are designed to quantify individual career achievement, both at the level of a single publication, and over an individual's entire career. While some academic careers are defined by a few significant papers (possibly out of many), other academic careers are defined by the cumulative contribution made by the author's publications to the body of science. Several metrics have been formulated to quantify an individual's publication career, yet none of these metrics account for the dependence of citation counts and journal size on time. In this paper, we normalize publication metrics across both time and discipline in order to achieve a universal framework for analyzing and comparing scientific achievement. We study the publication careers of individual authors over the 50-year period 1958-2008 within six high-impact journals: CELL, the New England Journal of Medicine (NEJM), Nature, the Proceedings of the National Academy of Science (PNAS), Physical Review Letters (PRL), and Science. In comparing the achievement of authors within each journal, we uncover quantifiable statistical regularity in the probability density function (pdf) of scientific achievement across both time and discipline. The universal distribution of career success within these arenas for publication raises the possibility that a fundamental driving force underlying scientific achievement is the competitive nature of scientific advancement.Comment: 25 pages in 1 Column Preprint format, 7 Figures, 4 Tables. Version II: changes made in response to referee comments. Note: change in definition of "Paper shares.

Relationship among research collaboration, number of documents and number of citations. A case study in Spanish computer science production in 2000-2009.

This paper analyzes the relationship among research collaboration, number of documents and number of citations of computer science research activity. It analyzes the number of documents and citations and how they vary by number of authors. They are also analyzed (according to author set cardinality) under different circumstances, that is, when documents are written in different types of collaboration, when documents are published in different document types, when documents are published in different computer science subdisciplines, and, finally, when documents are published by journals with different impact factor quartiles. To investigate the above relationships, this paper analyzes the publications listed in the Web of Science and produced by active Spanish university professors between 2000 and 2009, working in the computer science field. Analyzing all documents, we show that the highest percentage of documents are published by three authors, whereas single-authored documents account for the lowest percentage. By number of citations, there is no positive association between the author cardinality and citation impact. Statistical tests show that documents written by two authors receive more citations per document and year than documents published by more authors. In contrast, results do not show statistically significant differences between documents published by two authors and one author. The research findings suggest that international collaboration results on average in publications with higher citation rates than national and institutional collaborations. We also find differences regarding citation rates between journals and conferences, across different computer science subdisciplines and journal quartiles as expected. Finally, our impression is that the collaborative level (number of authors per document) will increase in the coming years, and documents published by three or four authors will be the trend in computer science literature

Scoliosis : density-equalizing mapping and scientometric analysis

Background: Publications related to scoliosis have increased enormously. A differentiation between publications of major and minor importance has become difficult even for experts. Scientometric data on developments and tendencies in scoliosis research has not been available to date. The aim of the current study was to evaluate the scientific efforts of scoliosis research both quantitatively and qualitatively. Methods: Large-scale data analysis, density-equalizing algorithms and scientometric methods were used to evaluate both the quantity and quality of research achievements of scientists studying scoliosis. Density-equalizing algorithms were applied to data retrieved from ISI-Web. Results: From 1904 to 2007, 8,186 items pertaining to scoliosis were published and included in the database. The studies were published in 76 countries: the USA, the U.K. and Canada being the most productive centers. The Washington University (St. Louis, Missouri) was identified as the most prolific institution during that period, and orthopedics represented by far the most productive medical discipline. "BRADFORD, DS" is the most productive author (146 items), and "DANSEREAU, J" is the author with the highest scientific impact (h-index of 27). Conclusion: Our results suggest that currently established measures of research output (i.e. impact factor, h-index) should be evaluated critically because phenomena, such as self-citation and co-authorship, distort the results and limit the value of the conclusions that may be drawn from these measures. Qualitative statements are just tractable by the comparison of the parameters with respect to multiple linkages. In order to obtain more objective evaluation tools, new measurements need to be developed

Simulation of the Effect of Data Exchange Mode Analysis on Network Throughput

Emergence of large scale specialized networks with a large number of computers marked a new stage in network infrastructure development. In connection with the wide variety of modern network equipment used for construction of large-scale networks and increasing complexity of such networks and applications, a developer or system administrator can no longer depend mainly on intuitive decisions. Optimum network configuration for realization of concrete tasks and effective deployment of applications in modern terms is not possible without conducting a proper research with the use of specialized simulation tools. Increase in bandwidth is followed by a commensurate increase in the amount of traffic sent over the Internet. Optimizing the use and allocation of bandwidth continues to be an ongoing problem. We present a simulation model to resolve the technological challenges of increasing the efficiency of data exchange in computer networks