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FAQ

169
I'm unable to create an account or log in to Scholarly Repository
In order to create an account in the LSU Scholarly Repository, users can create an account by visiting this link (https://repository.lsu.edu/cgi/useradd.cgi?context=https://repository.l…) . If users have forgotten their password, users can reset their password by visiting this link (https://repository.lsu.edu/cgi/reset_password.cgi?email=&context=https%…) . Once students have graduated, we recommend that they update their LSU Scholarly Repository account with a non-LSU e-mail address as their LSU e-mail address will eventually be deactivated. In order to update an e-mail address, users should login to their account at LSU Scholarly Repository Login (https://repository.lsu.edu/cgi/login.cgi?return_to=https%3A%2F%2Freposi…) and click Edit Profile under Account Settings . Once here, users should be able to update their e-mail addresses. If, by chance, former students no longer have access to their e-mail and have forgotten their password, they'll need to contact bepress support at support@bepress.com (mailto:support@bepress.com) . ***Questions regarding the submission of theses or dissertations should be directed to the Graduate School via e-mail at gradsvcs@lsu.edu (mailto:gradsvcs@lsu.edu ) or telephone at (225) 578-2311. Answered by: S. Trent Dunkin
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
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Database Listing

375
Duke University Press Journals ONLINE
Duke University Press publishes and distributes more than thirty periodicals that span a stimulating range of disciplines within the humanities and sciences--from East Asian cultural studies to French history, from lesbian and gay studies to mathematics and the history of economic thought, from feminism, culture and media studies to medieval and early modern studies. The e-Duke Scholarly Collection includes online access to twenty-nine Duke humanities and social science journals.
Academic Search Complete
Academic Search Complete offers an enormous collection of the most valuable full-text journals, providing users access to critical information from many sources unique to this database. In addition, this database is the leading source of peer-reviewed, full-text for STM research, as well as for the Social Sciences and Humanities. This scholarly collection offers unmatched coverage of information spanning a broad range of important areas of academic study, including anthropology, engineering, law, sciences and more.
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Staff

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Narcissa Haskins
Narcissa Haskins
Learning Experience Design Librarian
Portrait
Andrea Hebert
Research Impact Librarian
Portrait
Michael Holt
Head, Research and Instruction Services
Paul Hrycaj
Paul Hrycaj
Humanities and Social Sciences Librarian
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Discovery

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Catch It! Learning to Catch in Flight with Mobile Dexterous Hands
Catching objects in flight (i.e., thrown objects) is a common daily skill for humans, yet it presents a significant challenge for robots. This task requires a robot with agile and accurate motion, a large spatial workspace, and the ability to interact with diverse objects. In this paper, we build a mobile manipulator composed of a mobile base, a 6-DoF arm, and a 12-DoF dexterous hand to tackle such a challenging task. We propose a two-stage reinforcement learning framework to efficiently train a whole-body-control catching policy for this high-DoF system in simulation. The objects' throwing configurations, shapes, and sizes are randomized during training to enhance policy adaptivity to various trajectories and object characteristics in flight. The results show that our trained policy catches diverse objects with randomly thrown trajectories, at a high success rate of about 80 % in simulation, outperforming the baselines significantly. The policy trained in simulation can be deployed seamlessly to the real world with only onboard sensing and computation, which achieves catching sandbags in various shapes, randomly thrown by humans. Our video and code are available at https://mobile-dex-catch.github.io.
Biological Characteristics, Catch Dynamics, and Management Implications of Lutjanus Malabaricus Fisheries in Southern Central Java Waters
The red snapper Lutjanus malabaricus is an ecologically and economically important demersal fish widely distributed in the southern coastal waters of Central Java, Indonesia. This study examined L. malabaricus biological traits, catch dynamics, and management aspects to generate key information for sustainable utilisation. Field sampling was carried out from March to July 2022 in Kebumen and Cilacap using bottom longlines. A total of 812 specimens were analysed to determine length-weight relationships, gonadal maturity, fecundity, catch per unit effort (CPUE), and sustainable yield. In Kebumen, the total length (TL) of specimens ranged from 25 to 65 cm, with an average of 43.8 ± 6.2 cm, dominated by medium-sized individuals that were close to the length at first maturity (Lm50 ≈ 38 cm). By contrast, samples from Cilacap showed a higher mean TL of 46.3 ± 7.5 cm, with a greater proportion of mature fish. The length-weight relationship (W = 0.1030*L²·⁴¹⁶⁴, R² = 0.79) indicated a negative allometric growth pattern. Catch per unit effort (CPUE) fluctuated markedly over the past five years, reflecting variations in fishing intensity and environmental conditions. The maximum sustainable yield (MSY) was estimated at 8,663.7 kg yr⁻¹, with an exploitation rate of 78%, suggesting that the stock is already fully exploited. These results highlight the urgent need for stronger management measures, such as the enforcement of minimum catch sizes, stricter regulation of fishing effort, and seasonal closures, to secure the long-term sustainability of L. malabaricus fisheries in Central Java.
Enhancing catch-based stock assessment in data-limited fisheries with proxy CPUE indicators in the Yellow Sea
Catch-based methods are widely used in marine fisheries management, particularly for assessing fish stock status in data-limited fisheries. However, their reliability remains controversial, especially when only catch data are available. In fisheries with inadequate monitoring, Catch Per Unit Effort (CPUE) data are often unavailable, despite the potential availability of total fishing effort records for entire areas. Here, we evaluate the potential of a proposed proxy-CPUE indicator, defined as the ratio of total catch to total fishing effort metrics, as a substitute for CPUE to enhance catch-based methods. Using chub mackerel (Scomber japonicus) in the Yellow Sea as a case study, we developed proxy-CPUE indicators using three types of large-scale effort metrics: Gross Vessel Count (GVC), Gross Vessel Power (GVP), and Target Vessel Count (TVC). These indicators were incorporated into a Bayesian state-space Schaefer surplus production model (BSM) and their performance was compared to catch-only methods (CMSY) across key evaluation criteria, including robustness of estimation, reliability in retrospective analyses, and performance when encountering catch observation errors. Additionally, we conducted simulations to assess the impact of dynamic catchability, demonstrating that proxy-CPUE methods remain robust even when catchability varies over time. Results indicate that proxy-CPUE substantially improves the robustness of stock status estimates, especially by mitigating the impact of high catch observation errors—reducing estimate variations by 50% compared to catch-only methods. Both GVC-based and GVP-based proxy-CPUE demonstrated reliable performance in retrospective analyses. This study provides a practical and scalable solution for the management of fisheries facing similar data constraints.
The association between physical activity and depression among weekend catch-up sleepers: results from NHANES 2021–2023
Background: Depression is a prevalent disorder with significant health impacts. Physical activity is known to protect against depression, but its effects may vary in populations with disrupted sleep patterns, such as weekend catch-up sleepers, which refers to participants who sleep longer on weekends than on weekdays. This study examines the dose-response relationship between physical activity and depression in this population.Methods: Data from 1,906 participants in the National Health and Nutrition Examination Survey (2021–2023) were analyzed. Physical activity was measured in MET-minutes per week, and depression was assessed using the PHQ-9. Multivariate linear regression, restricted cubic spline, and two-part linear regression models were employed.Results: In the adjusted model, physical activity showed a negative trend with depression, though this association did not reach statistical significance in the fully adjusted model. Stratified analyses revealed stronger associations in women (OR = 0.86, 95% CI: 0.75, 0.99, P = 0.0329) and individuals aged 40–60 years (OR = 0.79, 95% CI: 0.65, 0.97, P = 0.0237). A threshold effect was observed, with physical activity below 2.48 MET-min/1000-wk showing a negative association with depression (OR = 0.69, 95% CI: 0.56, 0.85, P = 0.0006). Beyond this threshold, the relationship changed.Conclusion: A nonlinear relationship between physical activity and depression was identified in weekend catch-up sleepers, with moderate activity levels (2.48 MET-min/1000-wk) offering the greatest mental health benefits, particularly in women and individuals aged 40–60 years.Clinical trial number: Not applicable.Graphical Abstract:
Association between weekend catch-up sleep and depression in US adults
Background: Depression is one of the most prevalent mental disorders and causes a serious economic and medical burden on society. This research assessed the correlation between weekend catch-up sleep (WCS) and depression in US adults aged ≥ 20 years.Methods: Cross-sectional data were obtained from individuals with complete WCS and Patient Health Questionnaire (PHQ-9) data who participated in the 2017–2020 National Health and Nutrition Examination Survey (NHANES). A logistic regression analysis was conducted to evaluate the possible independent conjunction between depression and WCS. Subgroup analysis and interaction tests have been carried out.Results: A total of 7,795 individuals with an average PHQ-9 level of 3.27 ± 4.25 were analyzed. The prevalence of depression was 9.11% overall, and participants in the quartile 3 (WCS 1–2 h) tended to have lowest rates of depression (Quartile 1: 9.49%; Quartile 2: 9.95%; Quartile 3: 7.03%; Quartile 4: 8.75%; p = 0.014). The incidence of depression was found to be less correlated with 1–2 h of WCS (OR = 0.74, 95% CI: 0.55, 0.99). Individuals with less than one hour or more than two hours of WCS did not have a significantly different risk of depression than individuals without WCS.Conclusions: Moderate catch-up sleep on weekends was linked to a decreased likelihood of depression.
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