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Can members of the public, visiting scholars, independent researchers, and other non-LSU affiliates borrow materials from LSU Library?
Some individuals not affiliated with LSU may receive limited borrowing privileges. These individuals include:
- Louisiana residents (age 18 or older) with valid photo ID
- Out-of-state residents who teach in Louisiana K-12 schools (must be requested by principal or superintendent)
- Out-of-state residents who attend LALINC institutions (must have LALINC Card)
- Out-of-state residents working for Louisiana state agencies
- OCLC Reciprocal Faculty Borrowing Program participants
- Visiting scholars from out-of-state institutions (must be requested by an LSU dean or department head)
- Graduate students from institutions located in other states or countries (must be requested by thesis advisor, department head, or a librarian at their home institution)
- Adjunct LSU Faculty with gratis appointments These privileges do not include offsite access to databases. Public Patrons may borrow up to 10 books for a period of 28 days. Audio-Visual items circulate for 7 days. All Special Borrowers are subject to all rules and regulations including all library fees. Please apply for a public patron account at the checkout desk in room 241 of LSU Library. Please direct any additional questions or concerns to libcirc@lsu.edu (mailto:libcirc@lsu.edu) . LSU Libraries | Borrowing Policies Answered by: Access Services Staff
How do I find U.S. Census data?
Visit census.gov (http://census.gov/) to browse quality information current and historical facts and figures about Americas people, places, and economy. An additional tool offered by the U.S. Census Bureau, the data.census.gov (https://data.census.gov/) is a platform designed to help users access demographic and economic data digitally. The Census Academy (https://www.census.gov/data/academy.html) has many short tutorials for searching this website. For more information, consult the Census Bureau's FAQ (https://ask.census.gov/) , or schedule an appointment with an LSU Libraries Librarian here (https://lsu.libcal.com/appointments/caple) . The census on microfilm LSU owns is limited. The only states in this collection include: Alabama, Arkansas, District of Columbia, Florida, Georgia, Kentucky, Louisiana, Maryland, Mississippi, Missouri, Pennsylvania, South Carolina, Tennessee, Texas, Virginia (and scattered census material for West Virginia). Information on other states may be located at the National Archives (http://www.archives.gov/research/start/index.html) in Washington D.C., the regional branches (http://www.archives.gov/locations/index.html) of the National Archives, as well as the Bluebonnet Regional Branch of the East Baton Rouge Parish Library (https://www.ebrpl.com/) . The collection of census material at LSU Libraries includes population schedules, agricultural census data, lists of manufactures, slave schedules, passenger lists for the port of New Orleans covering 1853-1899, social statistics, and scattered information concerning Defective, Dependent and Delinquent Classes. Other material that may be helpful for researching archives for genealogy information include Records of the Diocese of Louisiana and the "Floridas", New Orleans City Directories for years 1805-1945, New Orleans Christian Advocate concerning Marriage and Death Notices, Military Academy Letters, and Indian Affairs, just to name a few. If you would like to access any of these materials, contact libgovdocs@lsu.edu . Answered by: Kendall Caple
Are there computers I can use in the library?
LSU faculty, staff, and students can use the computer labs located in rooms 141 and 241 of LSU Library. Students should log in using their myLSU credentials. Please contact LSU ITS with any questions regarding computer labs. Public/guest visitors can use the public access computers that are located near the print station in room 241. The primary function of LSU Libraries is academic research. For that reason, the public computers are provided for the public to do research, access the library databases, and search our online catalog. Special notes regarding public access computers:
- Printing is not available.
- Computers do not support non-browser-based applications such as word processors, video conferencing software, etc.
- Downloads are prohibited; therefore, guests are unable to save or upload files via email service providers, USB drives, external hard drives, etc.
- Patrons may be asked to limit session time if others are waiting. LSU Information Technology Services | Service Desk
Related: Does the library loan AV equipment, PC's, laptops, etc.?
Related: Can non-affiliates/public patrons access LSU Wi-Fi? Answered by: Access Services Staff
How do I look at journal impact factors organized by discipline?
If you need to learn the JIF (Journal Impact Factor) or ranking of a journal, Journal Citation Reports (https://libezp.lib.lsu.edu/login?url=https://jcr.clarivate.com) is the place to start. If you can't find information about the journal you are interested in, contact your subject librarian (https://www.lib.lsu.edu/staff?field_staff_type=2&search_api_staff=&fiel…) or the Research Impact Librarian, Andrea Hebert (https://lib.lsu.edu/staff#index.phpandreahebert) . Answered by: Andrea Hebert
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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.
Composition and diversity of drift gillnet catches landed at PPI Cikidang Pangandaran
Cikidang Fishing Port is one of the fishing ports that plays an important role in capture fisheries in Pangandaran, with drift gillnet as the main fishing gear. The high use of this tool encourages the analysis of the diversity and composition of the catch to assess fishery productivity and maintain resource sustainability. This study aimed to analyze the composition and diversity of drift gillnet catches landed at the PPI Cikidang Pangandaran. The methods used include the calculation of production amount and value, Catch Per Unit Effort, percentage of catch composition, and diversity index. The data analyzed were obtained from the Cikidang PPI statistical report during the 2019-2021 period. The results showed that white pomfret (Pampus argenteus) was the most dominant species in the catch, with an average contribution of 26.4% per year, whereas yellow mackerel (Selaroides leptolepis) had the least catch (only 0.62% per year). The catch diversity index showed a value of 2.77 in 2019, 2.19 in 2020, and 2.21 in 2021, which falls into the medium category. Habitat conservation efforts and increased awareness of fishermen are also needed so that fishery resources in the Cikidang Fishing Port remain sustainable and productive in the long term.
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.
Drivers of Economic Catch-up in Asia : A Study of ASEAN Countries with Comparative Views of China and India
This paper conducts a comprehensive examination of the sources of economic growth and catch-up of ASEAN countries since the Asian Financial Crisis, with comparative views of China and India. The study employs different decomposition frameworks to gain insights into the drivers of the Association’s economic performance over the 1997-2017 period. Three findings are most notable. First, all ten member states, except for Brunei, recorded a strong catch-up performance, with labour productivity being the leading driver in most countries. Second, the drivers of labour productivity catch-up exhibit some distinctive patterns among countries, which depend on the level of income and economic structure. Third, in all decomposition analyses, ASEAN countries are well below China and India across sources of growth, which tends to suggest that countries in the grouping could improve their performance by enhancing market integration and policy coordination. Although the long-term prospect of ASEAN is bright, the COVID-19 pandemic and the recent military coup in Myanmar have indicated that the road to future prosperity of the region is expected to face formidable challenges.
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.
Does soak time influence the effect of artificial light on catch efficiency in snow crab (Chionoecetes opilio) pot fishery?
In the Barents Sea commercial snow crab (Chionoecetes opilio) fishery, an increase in catch efficiency of the conical pots is important for the profitability of the industry. Light emitting diodes (LEDs) have previously been tested for increasing catch efficiency of the snow crab pots. These earlier experiments have shown varying results ranging from large increase in snow crab catches to no significant effect. These experiments have used different pot soaking times; however, the soaking time might affect the impact of LEDs on catch efficiency. In commercial snow crab fishery, the pot soak time is varying which has not been considered in earlier experiments testing the effect of LEDs. Therefore, this study examined whether pot soaking time can explain the observed differences in relative catch efficiency of snow crab pots with and without LEDs with soak times ranging from 2 to 14 days in the Barents Sea snow crab fishery. For target sizes of snow crab (≥95 mm carapace width), results indicated an increase in catch efficiency between 10 and 30% for pots with LEDs with exception of one experiment using six days soak time. However, experimental results were subjected to large uncertainties and, except from one experiment with five days soak time, the estimated increases were nonsignificant. Furthermore, the pot soak time was not found to impact the effect of white LEDs on capture efficiency.
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