Current Status and Future Prospects of Interdisciplinary Literature Reading among University Educators and Students | Book Publisher International

This study investigates interdisciplinary literature borrowing patterns among educators and students at Nanjing Normal University from 2014 to 2023, utilizing comprehensive borrowing records and advanced analytical techniques. By employing network diagrams created with Gephi, the research visualizes the connections among readers within various academic departments, shedding light on cross-disciplinary interactions and the extent of engaged reading. The study further explores gender differences in borrowing behaviors during the COVID-19 pandemic through chi-square tests, revealing disparities across liberal arts and science disciplines. Using factor analysis, structural equation modeling, and K-means clustering, the research identifies key factors influencing borrowing patterns and categorizes books based on demographic trends. Additionally, survival analysis with the Kaplan-Meier estimator provides insights into borrowing timelines, while binary logistic regression highlights significant predictors of category membership. A log-linear analysis delves into the intersections of gender, category, and undergraduate status, enhancing the understanding of diverse reading behaviors. Visual tools, including word cloud maps and co-borrowing network diagrams, enhance the data presentation, illustrating popular themes and repeated borrowing trends. This multifaceted methodological approach contributes to a deeper understanding of the complexities of interdisciplinary engagement in literature, offering valuable insights for university libraries to better align their collections with the evolving needs of the academic community.

 

Author (s) Details

Jiexuan Liu
Nanjing Normal University, Nanjing, China.

 

Please see the book here:- https://doi.org/10.9734/bpi/mono/978-93-49473-18-8

Behavior of Rounded and Truncated Rand Function Patterns with Increasing and Decreasing Non-normalized Decimal Samples | Chapter 3 | Research Highlights in Mathematics and Computer Science Vol. 8

 In this report research suggestion it may extract few patterns that might accept delivery of something truncated and curved decimal numbers from or by utilizing Rand Excel function as random numbers and Random numbers in SPSS detail of action software. Applying normalization for few samples of Rand decimals numbers as having ten of something data samples. Normalization is worked out for this samples where the arrangement secondhand is by increasing and curbing this random unit of the mathematical system numbers before normalization as non-normalized data and following in position or time applying unit of the mathematical system scale normalization. The samples number that may use is in addition to 20 samples as average and it may inferior this numbers by 5 and more than 20 by 30 and ask decimal scale normalization in MS Excel and SPSS spreadsheet. Could deduct the distinctnesses also 'tween MS Excel and SPSS outputs random numbers and more could receive patterns form using that arrangement (increasing and diminishing samples) for normalized and non-normalized decimal numbers.

Author(s) Details:

Zahir Saif Al-Hashami,
Oman-Muscat, Oman.

Please see the link here: https://stm.bookpi.org/RHMCS-V8/article/view/10191

Emphasizing the Geological Context and Statistical Assessment of the Impacts of Sugarloaf Twin Disasters, in Western Sierra Leone | Chapter 7 |International Research in Environment, Geography and Earth Science Vol. 8

Sierra Leone, like any other country, loses lives, property, and natural resources when natural disasters occur. Despite the country's history of small disasters, the sugarloaf landslide and subsequent flash flood (twin disasters) that hit Regent and other communities on August 14, 2017 have garnered national and international attention due to their devastating consequences. Landslides are a major geologic threat that can result in deaths and severe property damage. To gain a deeper understanding of the disasters' existence, this thesis looked at the geological background of the landslide and concentrated on statistical analysis of the twin disasters' impacts using the Statistical Kit for Social Sciences (SPSS). As research methods, geological field-based approaches and self-administered questionnaires for both closed and open-ended questions, personal interviews, and observations were used. The data from the study was analysed using descriptive statistics and qualitative analysis. Tv, television discussions, and the internet were also used to search for applicable literature in books, journals, and newspapers. The geology of subsurface formation (highly weathered olivine gabbro), lineaments, and the rate of weathering were all related to slope destabilisation that triggered the Landslide. The twin disasters had major economic, social, and political implications, according to the report. Families supported the victims the most in both financial and non-financial ways, according to the report, and there was systematic misappropriation of donated disaster funds. The hypothesis was accepted by all variables evaluated using the student t-distribution and the chi-square test of freedom. The results of this study may be extremely useful to policymakers and development practitioners [1]. The study found that geological conditions were the most significant factor in the rainfall-caused sugarloaf landslide, which was underlain by fractured/jointed/bedded gabbroic rocks. Lineaments in the upper part of the slope (faults, fractures, and joint sets) greatly affected the occurrence of landslides under gravity's influence and shaped the sliding shape.

Author (s) Details

Yusuf A. Lahai
Department of Geology, Faculty of Pure and Applied Sciences, Fourah Bay College, University of Sierra Leone, Freetown, Sierra Leone.

Prince S. Lahai Jr.
Department of Library, Fourah Bay College, University of Sierra Leone, Freetown, Sierra Leone.

View Book :- https://stm.bookpi.org/IREGES-V8/issue/view/37