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Processed vs unprocessed collection--what's the difference?
A processed collection has gone through several steps to become a cataloged record, thus available to the researching public. Those steps include a thorough vetting of copyright and restrictions, a verbatim transcription or thorough indexing of the interview including time-stamped calibration, the opportunity for the interviewee to review the transcription, the creation of a finding aid that includes important metadata about the collection, the preservation and optimization of audio files, the creation of user-copies, and cataloging. This process requires the efforts of several LSU Libraries staff members and it has been calculated that for every hour of recording, it takes 35-50 hours to fully process. For a detailed breakdown of the stages and fees associated with archiving oral histories, please see The Oral History Budget. All processed collections are found in the catalog record and many are available on the Louisiana Digital Library. An unprocessed collection is one that has not reached the final stage of completion and is not yet ready to be cataloged. Depending on the stage of processing, more or less of the interview will be available to patrons. See below for the availability of unprocessed collections. An unprocessed collection is not in the catalog record nor the Louisiana Digital Library. A processed collection has gone through several steps to become a cataloged record, thus available to the researching public. Those steps include a thorough vetting of copyright and restrictions, a verbatim transcription or thorough indexing of the interview including time-stamped calibration, the opportunity for the interviewee to review the transcription, the creation of a finding aid that includes important metadata about the collection, the preservation and optimization of audio files, the creation of user-copies, and cataloging. This process requires the efforts of several LSU Libraries staff members and it has been calculated that for every hour of recording, it takes 35-50 hours to fully process. For a detailed breakdown of the stages and fees associated with archiving oral histories, please see The Oral History Budget. All processed collections are found in the catalog record and many are available on the Louisiana Digital Library. An unprocessed collection is one that has not reached the final stage of completion and is not yet ready to be cataloged. Depending on the stage of processing, more or less of the interview will be available to patrons. See below for the availability of unprocessed collections. An unprocessed collection is not in the catalog record nor the Louisiana Digital Library. Answered by: Jennifer Cramer
What are Special Collections?
Special collections refer to unique materials that provide both primary and secondary sources to people conducting original research. Our collections are special due to their scarcity or rarity, historical value, monetary value, or research value. Archives are collections of original records created throughout the lifespan of a person, family, organization, or business. These materials essentially provide evidence of the activities, events, functions, and/or responsibilities of the creator(s). Archives and special collections differ from libraries in the types of materials collected and the ways in which they are acquired, organized, described, and made publicly accessible. These differences prompt us to create specific policies and procedures to ensure that our collections can continue to be used for decades or even centuries to come. Special collections refer to unique materials that provide both primary and secondary sources to people conducting original research. Our collections are special due to their scarcity or rarity, historical value, monetary value, or research value. Archives are collections of original records created throughout the lifespan of a person, family, organization, or business. These materials essentially provide evidence of the activities, events, functions, and/or responsibilities of the creator(s). Archives and special collections differ from libraries in the types of materials collected and the ways in which they are acquired, organized, described, and made publicly accessible. These differences prompt us to create specific policies and procedures to ensure that our collections can continue to be used for decades or even centuries to come. Answered by: Kelly Larson

Database Listing

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Discovery

2065107
Assessing the indicated impact of cantrang (boat Danish seine) based on catch characteristics in Java Sea, Indonesia
Cantrang (boat Danish seine) has been illegal since 2015 but remains prevalent in Indonesia’s Java Sea. Despite known negative impacts, no comprehensive ecological assessment of cantrang fishing exists. This study evaluates its effects by analyzing catch data based on taxa, trophic level, habitat, and fishing vulnerability by a multivariate approach. In this study, the size of 60 cantrang vessel samples were grouped into 4, namely 20–30, 31–50, 51–100, and 101–200 gross tons (GT), representing the spatial distribution of the fishing grounds. Larger vessels catch more diverse and abundant fish, primarily reef-associated and demersal species groups. There was a significant difference in the fishing vessel’s size on the catch’s composition (analysis of similarities, ANOSIM R = 0.114, p = 0.024). The dominant catches were families of Loliginidae (Loligo sp., 24.38%) and Nemipteridae (Nemipterus nematophorus, 19.29%), trophic level 2.7 (34.41–43.18%), reef-associated and demersal fish (37.06–46.09%), and low vulnerability group of fish (58.01–64.56%). Additionally, 2.69–8.56% of the endangered, threatened, and protected species of wedgefish (Rhyncobatus sp.) were also caught by the cantrang. This study confirms the impacts of cantrang on fish resources in the Java Sea, Indonesia’s Fisheries Management Area 712. The findings emphasize the need to improve management strategies to achieve sustainable fish resources and marine biodiversity in the region.
Effectiveness of catch-up vaccination from 2009 to 2011 on incidence of hepatitis B in Guangzhou, China: a time series analysis
Abstract Background The high prevalence of hepatitis B weighs heavily on public health in China. In 2009, a catch-up vaccination program for children aged 8–15y was implemented to curb hepatitis B, while the effectiveness of this intervention has not been investigated. We aimed to evaluate the effectiveness of catch-up vaccination on the incidence of hepatitis B in Guangzhou, China. Methods We obtained individual data of all hepatitis B cases from 2005 to 2019 in Guangzhou from Guangzhou Center for Diseases Control and Prevention. Based on daily reported number of cases, we constructed generalized linear models to estimate the effectiveness of the intervention on the incidence of hepatitis B in each age group from 11 to 25 years. We further estimated the age-standardized effectiveness. Finally, we examined the effectiveness in different subgroups by sex and clinical types of hepatitis B. Results A total of 58,204 hepatitis B cases among individuals aged 11–25y were reported in Guangzhou from 2005 to 2019, with an average annual age-standardized incidence of 117.30 cases per 100,000 individuals. The catch-up vaccination contributed to an age-standardized 20.02% (95% confidence interval: 15.97%, 23.87%) decrease in the hepatitis B incidence among individuals aged 11–25y and prevented an annual age-standardized average of 17.40 (95% empirical confidence interval [eCI]: 9.24, 23.78) cases per 100,000 individuals from hepatitis B during the study period. The intervention could better protect males (excess incidence rate [EIR]: -21.82 [95% eCI: -30.51, -10.15] cases per 100,000 individuals), and prevent chronic cases (EIR: -24.27 [95% eCI: -30.62, -16.09] cases per 100,000 individuals). Conclusions The massive catch-up vaccination against hepatitis B among children plays an important role in alleviating the burden of hepatitis B.
Catch fish optimization algorithm: a new human behavior algorithm for solving clustering problems
This paper is inspired by traditional rural fishing methods and proposes a new metaheuristic optimization algorithm based on human behavior: Catch Fish Optimization Algorithm (CFOA). This algorithm simulates the process of rural fishermen fishing in ponds, which is mainly divided into two phases: the exploration phase and the exploitation phase. In the exploration phase, there are two stages to search: first, the individual capture stage based on personal experience and intuition, and second, the group capture stage based on human proficiency in using tools and collaboration. Transition from independent search to group capture during the exploration phase. Exploitation phase: All fishermen will surround the shoal of fish and work together to salvage the remaining fish, a collective capture strategy. CFOA model is based on these two phases. This paper tested the optimization performance of CFOA using IEEE CEC 2014 and IEEE CEC 2020 test functions, and compared it with 11 other optimization algorithms. We employed the IEEE CEC2017 function to evaluate the overall performance of CFOA. The experimental results indicate that CFOA exhibits excellent and stable optimization capabilities overall. Additionally, we applied CFOA to data clustering problems, and the final results demonstrate that CFOA’s overall error rate in processing clustering problems is less than 20%, resulting in a better clustering effect. The comprehensive experimental results show that CFOA exhibits excellent optimization effects when facing different optimization problems. CFOA code is open at https://github.com/Meky-1210/CFOA.git.