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FAQ

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Are Government Documents peer-reviewed or scholarly sources?
The government produces a large amount of publications including congressional, agency and administrative reports from hundreds of departments and agencies. Most of these publications are considered to be authoritative and credible. However, while some government reports may undergo internal review processes, not all of these documents are considered peer-reviewed or scholarly. For more information on how to find peer-reviewed articles, explore the librarys Searching for Peer-Reviewed Articles Research Guide (https://guides.lib.lsu.edu/c.php?g=1282644&p=9413843) . Answered by: Kendall Caple
What are the fines for lost library books?
LSU Library books are considered lost if they are not returned or renewed within 40 days after the due date. Lost book charges consist of a $70 item replacement fee, a non-refundable service charge of $30.00, and any accrued overdue fines (usually $20 max). If you would like to report a book lost, please do so using the Lost Materials Form below. If you report a book lost before the due date, no overdue fines will accrue, and the service charge will be reduced to $25. You will still be responsible for the cost of item replacement. Please click to the Lost or Damaged Items link below for more information. LSU Libraries | Lost or Damaged Items
LSU Libraries | Lost Materials Form Answered by: Access Services Staff
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

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Old Testament Abstracts
Old Testament Abstracts Online is a product of a partnership between ATLA and the Catholic Biblical Association. The database features indexing and abstracts for journal articles, monographs, multi-author works, and software related to Old Testament studies. Abstracts from over 450 journals are included. All abstracts are in English, regardless of the language of the original work. Topics covered include antiquities, archaeology, biblical theology, philology and much more. Coverage in the database dates back to 1978.
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Archive Records

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Staff

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Portrait
Danielle Stoulig
Head of Archival Processing
Portrait
Zach Tompkins
University Archivist
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Discovery

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The Catch
A grumpy lobster fisherman tosses a fashion influencer's impeccably curated life overboard in the next romantic comedy from international bestselling author Amy Lea.In a last-ditch effort to rescue her brand from the brink of irrelevance, Boston fashion influencer Melanie Karlsen finds herself in a rural fishing village on the east coast of Canada. The only thing scarier than nature itself? The burly and bearded bed-and-breakfast owner and fisherman, Evan Whaler—who single-handedly disproves the theory that Canadians are “nice.”After a boating accident lands Evan unconscious in the hospital, Mel is mistaken for his fiancée by his welcoming yet quirky family, who are embroiled in a long-standing feud over the B&B. In a bold attempt to mend family fences, Mel agrees to fake their engagement for one week in exchange for Evan's help with her social media content.Amid long hikes and campfire chats, reeling in their budding feelings for each other proves more difficult by the day. But is Mel willing to sacrifice her picture-perfect life in the city for a chance at a true, unfiltered love in the wild?
Orthogonally Functionalizable Redox-Responsive Polymer Brushes: Catch and Release Platform for Proteins and Cells
Polymer brushes engineered to “specifically capture” and “release on demand” analytes such as dyes, proteins, and cells find biomedical applications ranging from protein immobilization to cell death. Utilizing a disulfide-linker-containing monomer as a building block enables the fabrication of a redox-responsive polymer brush platform with the “catch and release” attribute. Herein, thiol-reactive redox-responsive polymer brushes are fabricated using a pyridyl disulfide-based monomer, and their postpolymerization functionalization is demonstrated via thiol–disulfide exchange reaction with thiol-containing dyes, (bio)­molecules, and cell adhesive ligands. After establishing reversible conjugation using a fluorescent dye and other model compounds, copolymer brushes postmodified with thiol-containing mannose demonstrated selective immobilization of concanavalin A in the presence of peanut agglutinin. In addition, a thiolated RGD peptide was conjugated to the side chain of polymer brushes to facilitate cell adhesion, followed by on-demand harvesting. To enable localized drug delivery to surface-adhered cells, orthogonal chain end and side chain functionalization using the thiol-Michael addition and thiol–disulfide exchange reaction, respectively, was used to conjugate the cell adhesive RGD peptide and the anticancer drug doxorubicin (DOX). On-demand DOX release and internalization by surface-bound cancer cells were demonstrated via cleavage of disulfide linkages in the presence of a reducing agent. This approach may provide an attractive methodology to deliver therapeutic agents precisely to specific cells.
Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning
Vision-language models (VLMs) have shown remarkable advancements in multimodal reasoning tasks. However, they still often generate inaccurate or irrelevant responses due to issues like hallucinated image understandings or unrefined reasoning paths. To address these challenges, we introduce Critic-V, a novel framework inspired by the Actor-Critic paradigm to boost the reasoning capability of VLMs. This framework decouples the reasoning process and critic process by integrating two independent components: the Reasoner, which generates reasoning paths based on visual and textual inputs, and the Critic, which provides constructive critique to refine these paths. In this approach, the Reasoner generates reasoning responses according to text prompts, which can evolve iteratively as a policy based on feedback from the Critic. This interaction process was theoretically driven by a reinforcement learning framework where the Critic offers natural language critiques instead of scalar rewards, enabling more nuanced feedback to boost the Reasoner’s capability on complex reasoning tasks. The Critic model is trained using Direct Preference Optimization (DPO), leveraging a preference dataset of critiques ranked by Rule-based Reward (RBR) to enhance its critic capabilities. Evaluation results show that the Critic-V framework significantly outperforms existing methods, including GPT-4V, on 5 out of 8 benchmarks, especially regarding reasoning accuracy and efficiency. Combining a dynamic text-based policy for the Reasoner and constructive feedback from the preference-optimized Critic enables a more reliable and context-sensitive multimodal reasoning process. Our approach provides a promising solution to enhance the reliability of VLMs, improving their performance in real-world reasoning-heavy multimodal applications such as autonomous driving and embodied intelligence. Our data and code are released at https://github.com/kyrieLei/Critic-V.
A Minimum Error Increment ELM Algorithm Based on Catch Fish Optimization Algorithm for Power Load Forecasting
Power load forecasting constitutes a pivotal component within the framework of power system planning and scheduling. In conventional ELM models employed for power load forecasting, the generation of input weight matrices and bias vectors is often overlooked. This oversight can lead to pathological characteristics in the overall model, thereby introducing uncertainty with respect to the number of hidden layers. This, in turn, poses challenges to the system with regard to computational cost and forecasting performance. In this paper, we propose a minimum error increment ELM algorithm based on the fishing optimization algorithm (CFOA-MEI-ELM) to address these issues. Through experimental verification, we assess the efficacy of this novel algorithm.
Catch Causal Signals from Edges for Label Imbalance in Graph Classification
Despite significant advancements in causal research on graphs and its application to cracking label imbalance, the role of edge features in detecting the causal effects within graphs has been largely overlooked, leaving existing methods with untapped potential for further performance gains. In this paper, we enhance the causal attention mechanism through effectively leveraging edge information to disentangle the causal subgraph from the original graph, as well as further utilizing edge features to reshape graph representations. Capturing more comprehensive causal signals, our design leads to improved performance on graph classification tasks with label imbalance issues. We evaluate our approach on real-word datasets PTC, Tox21, and ogbg-molhiv, observing improvements over baselines. Overall, we highlight the importance of edge features in graph causal detection and provide a promising direction for addressing label imbalance challenges in graph-level tasks. The preprint version is available at https://arxiv.org/abs/2501.01707. The model implementation details and the codes are available on https://github.com/fengrui-z/ECAL.
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