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Why does my library account say that I am blocked, that I am barred, or that my status is expired?
Users can encounter several different types of status messages. Patrons with questions about their account status can visit the checkout desk in room 241 of LSU Library and ask to speak to a staff member. Alternatively, patrons can reach out to us via e-mail at libcirc@lsu.edu (mailto:libcirc@lsu.edu) . When contacting us via e-mail, LSU students, staff, and faculty should message us from their LSU e-mail address; public patrons should message us from the e-mail address we have on file. For privacy reasons, we cannot discuss the details of patron accounts over the telephone. Expired: Students must be currently enrolled in classes in order to be granted library privileges. Once they graduate, or if they fail to register on time in accord with the deadlines posted on LSUs academic calendar, their privileges expire. If they try to log in to their library account after that date, they will see an alert message informing them that their account has expired. Graduate students who have received a masters degree but are continuing on to get their PhD may also have their privileges expire earlier than expected. The library receives weekly updates on student status from the Registrars Office. Once the semester has begun, if students register during the week, their accounts will not be updated and their privileges extended in the system until the following Monday morning. Blocked: Users with overdue recalled books will have their accounts blocked by the system. Their accounts will remain blocked until the book is returned. The system will not permit staff members to override blocks or to renew books that have been recalled. The only way to remove a block from an account is to return the materials. Barred: Users can be barred from using library materials for a number of reasons, the most common being that they have been billed for lost items. They can also be barred if they resign from the university, if their classes are purged, or for flagrant violations of library policy. If they try to log into their account after they have been barred, they will receive an alert message that tells them that they have been barred. Answered by: Access Services Staff

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2062258
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.