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Can I host a meeting, class, or event at Hill Memorial Library?
Yes. The Hill Lecture Hall is generally only available to University affiliated groups for meetings, classes, or events of 100 people or less. The lecture hall is equipped with a podium, microphone, projection screen, tables, and chairs. You must reserve the space in advance, preferably with at least two weeks notice and there may be a service charge. Find out more about reserving the Hill Lecture Hall: https://lib.lsu.edu/special#reservelecturehall (https://lib.lsu.edu/special#reservelecturehall) Answered by: Kelly Larson
I'm looking for a specific software to help analyze my qualitative research, but I did not see anything on LSU's TigerWare website. Does the library have a license for such software?
LSU's ITS is responsible for the acquisition and licensing of various software, known as TigerWare (https://tigerware.lsu.edu/#) . You can make requests for software on that website by scrolling down and clicking on the Request a software item link in the menu on the left. eResources Staff Answered by: Electronic Resources
How do I save my search results in Discovery?
To save relevant search results in Discovery, you first need to create a MyEBSCO account (https://connect.ebsco.com/s/article/How-to-Create-and-Manage-a-My-EBSCO…) . With your account created, you now have the option to save search results to your MyEBSCO folder (https://connect.ebsco.com/s/article/How-to-Use-the-My-EBSCOhost-Folder?…) by clicking the small blue folder icon next to a relevant result. NOTE: If you save search results without logging into your MyEBSCO account, the saved results will disappear after you close your browser. eResources Staff Answered by: Electronic Resources
I work at an Ag Extension research station in Louisiana. Do I have remote access to the library's electronic resources?
Yes, you should be able to access our electronic resources. If you are authenticated via your MyLSU account and still unable to access our e-resources remotely, please report the issue to the library's Virtual Help Desk (https://askus.lib.lsu.edu/) by filling out the form on the left and selecting the Database or Full-Text PDF Access help topic. Provide a brief description of the issue, and someone from Digital Access & Discovery Services will follow up with you. eResources Staff Answered by: Electronic Resources
How do I access the Chronicle of Higher Education?
If youre on-campus and authenticated via LSU Wifi or wired network 1. Simply go to Chronicle.com (https://www.chronicle.com/) for complete access. If youre off-campus and authenticated via your MyLSU account: 1. Go to Chronicle.com (https://www.chronicle.com/) and click on the Log In link at top, right-hand side of the web page. 2. Choose the Create an account now option. 3. Enter and confirm your campus e-mail address, then follow the steps on the account setup pages. eResources Staff Answered by: Electronic Resources
I'm an LSU Online/remote learner. Am I able to borrow books and other physical materials from the library?
Yes. Submit your request through your Interlibrary Loan (https://www.lib.lsu.edu/services/ill) (ILL) account. When you create your account, choose the status "Undergraduate-LSU Online" or "Graduate-LSU Online." To change your status on an existing account, click "Change User Information" on the left menu. When you place an interlibrary loan request, we will contact you with options for obtaining physical items. ILL Tutorials: Creating (https://www.youtube.com/watch?v=Gx8FxBGRLok ) an ILL account Answered by:
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Database Listing

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WindowsWear
The world’s largest and most comprehensive visual database of retail and e-commerce. Content includes best-in-class visual merchandising, retail design, window displays, product packaging, e-commerce, and more, of the hottest global brands.
Please upload your student projects throughout the year to be eligible for WindowsWear's Student Awards https://www.windowswear.com/studentawards/ and Mentorship Program https://www.windowswear.com/mentorship/

How to sign-up and create your WindowsWear account:
1. Click on the database's link above using the Firefox browser only.
2. Use the Sign-Up, It's Free! link at the top right
3. Under Academic, select Louisiana State University.
4. Click Create Profile, enter your LSU email address and password, and click Join.
5. Check your LSU email and immediately verify your WindowsWear account to ensure account activation.



eHRAF World Cultures
HRAF is an acronym for Human Relations Area Files. HRAF is a consortium of educational, research and cultural organizations, and government agencies; its mission is to encourage and facilitate the study of human culture, society, and behavior. This mission is accomplished mainly through the compilation, indexing, and distribution of a collection of ethnographic and other texts that are indexed by culture and subject. (eHRAF stands for the electronic collections of the HRAF).
Louisiana Digital Library
The Louisiana Digital Library (LDL) is an online library of Louisiana institutions that provides over 144,000 digital materials. Its purpose is to make unique historical treasures from the Louisiana institution's archives, libraries, museums, and other repositories in the state electronically accessible to Louisiana residents and to students, researchers, and the general public in other states and countries. The Louisiana Digital Library contains photographs, maps, manuscript materials, books, oral histories, and more that document history and culture.
Plant Management Network
The Plant Management Network is a unique cooperative resource for the applied plant sciences. Designed to provide plant science practitioners fast electronic access to proven solutions, the Plant Management Network offers an extensive searchable database comprised of thousands of web-based resource pages from the network's partner universities, companies, and associations. In addition, the network's four peer-reviewed citable journals, Applied Turfgrass Science, Crop Management, Forage and Grazinglands, and Plant Health Progress, provide credible current information in areas important to practitioners, policy makers, and the public.
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Chaotic Fun! Promoting Active Recall of Anatomical Structures and Relationships Using the Catch-Phrase Game
Active recall, the act of recalling knowledge from memory, and games-based learning, the use of games and game elements for learning, are well-established as effective strategies for learning gross anatomy. An activity that applies both principles is Catch-Phrase, a fast-paced word guessing game. In Anatomy Catch-Phrase, players must get their teammates to identify an anatomical term by describing its features, functions, or relationships without saying the term itself. Once a teammate guesses the term, players switch roles and continue play with the next term(s) until time runs out. Meanwhile, the instructor notes common errors and reviews knowledge gaps with the team at the end of the round. Prior to the first exam, a seven-question evaluation was distributed to the health professional students. A total of 18 dissection lab groups (86%) played one round of Anatomy Catch-Phrase, with many groups playing multiple times. After the first exam, 73 students (61%) completed the evaluation. On a five-point scale, most students indicated they enjoyed Anatomy Catch-Phrase (4.3 ± 0.9), highly recommended it (4.2 ± 0.9), and wanted to play it in the future (4.3 ± 1.0). Most students also found the game relevant to the course material (4.5 ± 0.8), useful for reviewing (3.9 ± 0.9), and helped reinforce their knowledge (3.9 ± 0.9). Anatomy Catch-Phrase was highly rated, with a score of 4.3 ± 0.9. Multiple students also provided enthusiastic unsolicited comments, such as 'LOVED IT! A fun way to study anatomy!:)'. Overall, Anatomy Catch-Phrase was well-received as a fun activity for reviewing the anatomy relevant to the course.
Reconstructing historical catch trends of threatened sharks and rays based on fisher ecological knowledge.
Small‐scale fisheries often lack historical shark and ray catch information, hampering their management. We reconstructed historical catch trends and current fishing pressure by combining local ecological knowledge, satellite‐based vessel counts, and a short‐term landing‐site survey. To test the effectiveness of this method, we focused on the Bijagós Archipelago (Guinea‐Bissau, West Africa), where historical fisheries data are lacking. Benthic rays (stingrays [Dasyatidae] and butterfly rays [Gymnura spp.]), benthopelagic rays (duckbill eagle rays [Aetomylaeus bovinus] and cownose rays [Rhinoptera marginata]), guitarfish (Glaucostegus and Rhinobatos spp.), requiem sharks (Carcharhinidae), and hammerhead sharks (Sphyrna spp.) declined in abundance by 81.5–96.7% (species dependent) from 1960 to 2020. Fishing effort increased annually: fishing trip duration by 42.0% (SE 3.4), numbers of fishing vessels at sea as perceived by fishers by 36.3% (1.0) (1960–2020), and number of vessels by 12.0% (1.1) (2007–2022). We estimated that in 2020, fishing vessels collectively captured 61–264 sharks and 522–2194 rays per day in the archipelago, depending on the proportion of the fishing fleet that was active (i.e., low fleet activity of 18% and high fleet activity of 80%). We advocate for reducing shark and ray catches by regulating fleet size, reinforcing boundaries of protected areas, and collecting fisher‐dependent information on shark and ray landings to safeguard these vulnerable species and coastal livelihoods. We demonstrated the effectiveness of using this 3‐pronged approach to provide baseline data on shark fisheries, a common challenge in areas with small‐scale fisheries and limited research capacity. [ABSTRACT FROM AUTHOR]
China's Potential to Overtake the United States: The Role of Technical Diffusion and Catch-up Speed
The U.S. imposed sanctions on China focusing on cutting-edge technology. This study examines whether the US sanctions policy against China is effective. If it is effective, we would like to analyze why it is effective through the technical diffusion index and catch-up index. As the U.S. imposed sanctions on Chinese semiconductors and other cutting-edge technologies, the speed of catch-up and diffusion of China's cutting-edge technologies slowed down. From 1980 to 2022, macro data was collected from the IMF (2023) and ILO (2023). Approximately 300,000 patents related to semiconductors, AI, and Big data were used. The impact of advanced technical diffusion on GDP and per capita income was analyzed statistically rigorously using the general sequential logit model (VGAM, VGLM), difference-in-differences (DID) model, hierarchical mixed model, and Long-Short. -Term Memory (LSTM) model. We used LSTM to assess whether China could overtake the United States by 2030. In conclusion, U.S.'s sanction on China were partially effective. It appears that China is rapidly approaching the U.S. through the development of AI and Big data technologies. However, it is doubtful whether China will be able to catch up with the U.S. by 2030. If the U.S. cannot effectively control AI, the possibility of being overtaken by China may increase.
Catch Me If You Can: Deep Meta-RL for Search-and-Rescue Using LoRa UAV Networks
Long-range (LoRa) wireless networks have been widely proposed as efficient wireless access networks for battery-constrained Internet of Things (IoT) devices. However, applying the LoRa-based IoT network in search-and-rescue (SAR) operations will have limited coverage caused by high signal attenuation due to terrestrial blockages, especially in highly remote areas. To overcome this challenge, using unmanned aerial vehicles (UAVs) as a flying LoRa gateway to transfer messages from ground LoRa nodes to the ground rescue station can be a promising solution. In this paper, an artificial intelligence-empowered SAR operation framework using a UAV-assisted LoRa network in different unknown search environments is designed and implemented. The problem of the flying LoRa (FL) gateway control policy is modeled as a partially observable Markov decision process to move the UAV towards the LoRa transmitter carried by a lost person in the known remote search area. A deep reinforcement learning (RL)-based policy is designed to determine the adaptive FL gateway trajectory in a given search environment. Then, as a general solution, a deep meta-RL framework is used for SAR in any new and unknown environments. The proposed deep meta-RL framework integrates the information of the prior FL gateway experience in the previous SAR environments to the new environment and then rapidly adapts the UAV control policy model for SAR operation in a new and unknown environment. To analyze the performance of the proposed framework in real-world scenarios, the proposed SAR system is experimentally tested in three environments: a university campus, a wide plain, and a slotted canyon at Mongasht mountain ranges, Iran. Experimental results show that if the deep meta-RL-based control policy is applied instead of the deep RL-based one, the number of SAR time slots decreases from 141 to 50. Moreover, in the slotted canyon environment, the UAV energy consumption under the deep meta-RL policy is respectively 57% and 23% less than the deep RL and Actor-Critic RL policies.
Catch Me If You See: Using Visual Cue and Explanatory Feedback to Enhance Human Phishing Detection
Phishing attacks are a major cybersecurity threat that exploit human weaknesses to steal sensitive information. Although detection systems have improved, phishing attacks remain widespread which highlights the need for human-centered defenses. In this study, we investigate the effectiveness of visual cues and explanatory feedback in improving users’ ability to detect phishing emails. We conduct a user study with 55 participants and first evaluate detection accuracy across two tasks: one without visual cues (task-1) and one with visual cues (task-2), to assess their impact. Upon completion of task-2, the participants receive explanatory feedback. Then they participate in a third task (task-3) to evaluate new emails (without visual cues). Through measuring their accuracy, we examine how email categories influence detection performance and how this changes with visual cues and feedback. Results show that visual cues offer only modest improvements in phishing detection with no statistically significant accuracy gains (task-1: 58.18% vs. task-2: 68.73%), and lead to increased misclassification of legitimate emails. In contrast, explanatory feedback significantly enhances both phishing and legitimate email detection, with overall accuracy improving to 70% in task-3, a gain of 13.82% compared to task-1 and 12.91% compared to task-2, with validated gains confirmed through a follow-up user study. Additionally, detection performance varies across email categories, with emotionally manipulative and deceptive tactics proving more difficult to detect but showing improvement after receiving explanatory feedback. These findings offer actionable insights for designing effective, feedback-based user training programs to complement automated phishing detection systems.
The Early Bird Catches the Leak: Unveiling Timing Side Channels in LLM Serving Systems
The wide deployment of Large Language Models (LLMs) has given rise to strong demands for optimizing their inference performance. Today’s techniques serving this purpose primarily focus on reducing latency and improving throughput through algorithmic and hardware enhancements, while largely overlooking their privacy side effects, particularly in a multi-user environment. In our research, for the first time, we discovered a set of new timing side channels in LLM systems, arising from shared caches and GPU memory allocations, which can be exploited to infer both confidential system prompts and those issued by other users. These vulnerabilities echo security challenges observed in traditional computing systems, highlighting an urgent need to address potential information leakage in LLM serving infrastructures. In this paper, we report novel attack strategies designed to exploit such timing side channels inherent in LLM deployments, specifically targeting the Key-Value (KV) cache and semantic cache widely used to enhance LLM inference performance. Our approach leverages timing measurements and classification models to detect cache hits, allowing an adversary to infer private prompts with high accuracy. We also propose a token-by-token search algorithm to efficiently recover shared prompt prefixes in the caches, showing the feasibility of stealing system prompts and those produced by peer users. Our experimental studies on black-box testing of popular online LLM services demonstrate that such privacy risks are completely realistic, with significant consequences. Our findings underscore the need for robust mitigation to protect LLM systems against such emerging threats.
Association Between Weekend Catch-Up Sleep and Obesity Among Working Adults: A Cross-Sectional Nationwide Population-Based Study.
Objectives: This study aimed to examine the association between weekend catch-up sleep (CUS) and obesity among Korean workers. Methods: Data were derived from the 2016–2023 Korean National Health and Nutrition Examination Survey (KNHANES), a nationally representative dataset. The final analytic sample comprised 17,208 Korean workers aged 26 to 64 years. General and abdominal obesity were defined as body mass index (BMI) ≥ 25 kg/m2 and waist circumference ≥ 90 cm for men and ≥85 cm for women, respectively. Sleep patterns were categorized into sufficient sleep, weekend CUS, and insufficient sleep. Multivariable logistic regression analyses were performed to evaluate associations between sleep patterns and obesity, adjusting for demographic, socioeconomic, and health-related variables. Results: Compared to individuals with sufficient sleep, those with weekend CUS showed increased odds of general obesity (adjusted odds ratio [AOR] = 1.21) and abdominal obesity (AOR = 1.18). The insufficient sleep group had even higher odds for both general obesity (AOR = 1.23) and abdominal obesity (AOR = 1.33). Conclusions: Insufficient sleep is significantly associated with increased risks of both general and abdominal obesity among Korean workers. While weekend CUS may offer partial mitigation of obesity risk, it should not be considered a substitute for regular, adequate sleep. Longitudinal studies are warranted to further explore causal relationships between sleep patterns and obesity in working populations. [ABSTRACT FROM AUTHOR]
Scalable and Sustainable DMF-Free Solid-Phase Synthesis of Liraglutide by 1-Tert-Butyl-3-Ethylcarbodiimide-Mediated Couplings and Catch-and-Release Acylation and Purification Strategies
Introduction: The growing need for sustainable practices in pharmaceutical manufacturing has stimulated advancements in peptide synthesis. This study focuses on applying green chemistry principles to the synthesis of the Glucagon-Like Peptide-1 analog liraglutide.Material and Methods: The safer coupling reagent 1-tert-butyl-3-ethylcarbodiimide (TBEC) was tested in combination with eco-friendly binary solvents such as dimethyl sulfoxide and butyl acetate to propose novel and sustainable solid-phase synthetic and purification strategies of liraglutide.Results: Two synthetic strategies were developed for liraglutide production. The first strategy was based on a “direct synthesis”, incorporating a lipidated lysine building block into the peptide sequence, achieving 86% HPLC purity after catch-and-release purification. The second strategy based on “catch-lipidation-and-release” approach, allowed to obtain the peptide precursor without the lipid moiety, which was later linked during a controlled lipidation step. This latter strategy yielded purities exceeding 90% and reduced reliance on preparative HPLC. TBEC minimizes hazardous byproducts, such as hydrogen cyanide, and enhances solvent compatibility, achieving crude purities and yields comparable to conventional syntheses.Conclusion: This work underscores the potential of green chemistry to align pharmaceutical innovation with environmental responsibility. In particular our findings highlight the effectiveness of TBEC and green solvent systems optimizing scalable and sustainable SPPS processes and improving resource efficiency. Thus, we propose a viable pathway to produce the therapeutic peptide ingredient liraglutide significantly reducing the environmental impact while maintaining high efficiency and quality of the synthesis.
Catch Me: Kill Me
Edgar Award Winner for Best Mystery Novel:'Takes off like a Chinook and whisks you through a labyrinth non-stop until the final sentence'(Clive Cussler). Russian poet Boris Kotlikoff defected to the United States two years ago. He left with no state secrets; he is no threat to the Soviets in anyway; yet now he has become their prize hostage, buried alive somewhere in New York City. The US government, on the defensive as always, treads on cat feet. But it does not take into consideration the doggedness of Ben Leary, an agent with Immigration and Naturalization. They also close their eyes to a parallel search by Gus Geller, a hatchet man for the CIA. And the government isn't even aware of Charlie Brewer, a discredited ex-CIA agent Geller puts in charge of the actual search. Will the vicious infighting among these three in a struggle against time and missed opportunities set up Kotlikoff as a doomed pawn?'Compelling... A kind of catch-22.'—Time
Catch Cat : Discover the World in This Search and Find Adventure
Spot the elusive world-traveling cat hiding in 7 intricately illustrated continent maps, paired with explanatory spreads featuring a selection of the fascinating creatures, people, iconic buildings, and geological features that make each continent unique. Geography has never been more fun! Travel the world, from North America to Antarctica and every continent in between, in search of cat while you discover myriad natural and man-made wonders—all packed cleverly into the colorful maps. Did you spot the pink dolphins frolicking in the Amazon River? Or Bran Castle, Romania's national monument and the setting for Bram Stoker's Dracula? How about the rockhopper penguins of Antarctica, sporting their distinctive yellow-streaked hairdos? And the Great Pyramid of Giza in Egypt, thought to be built from 2.3 million blocks? To discover these cool places and more, pack your bags and get ready to explore.
Alaskan Catch
A dream job it's not. But for Emily Prentice, working as a seafood inspector in Ketchikan, Alaska, takes her one step closer to becoming a marine biologist. And it'll give her a first taste of independence from her overprotective mom and the doctor boyfriend she's pushing into Emily's arms. Emily's certainly not looking for romance... until a huge dog knocks her down and sends her flying into fish goo. It's love at first sight for Emily and Bear, whose handsome owner, Sam, becomes flummoxed when the fallen worker in the hard hat turns out to be a pretty young woman. Emily and Bear begin a beautiful relationship, with Sam in tow. And before long the attraction between the humans becomes undeniable. But separation and a dangerous undertaking soon leave Emily wondering if she'll lose Sam before she gets to tell him how she really feels... Bear wants his humans staying together, and before he's done, both Emily and Sam will learn one essential canine truth: A dog is the only one on earth who loves you more than you love yourself.Praise for Sue Pethick's Novels “Quirky characters abound in this gentle romantic comedy with a hint of suspense. But it's the comic scenes featuring Shep that steal the show.... Readers who delight in tales about the bond between people and their dogs will enjoy.” —Booklist on Please Don't Feed the Mayor“A light, heartwarming read perfect for a wintry afternoon at home or a sunny beachvacation.” —RT Book Reviews on Pet Friendly “Filled with romance, drama, and family love... a fun, light hearted read that is sure to give you warm fuzzy feelings. ”—Modern Dog on The Dog Who Came for Christmas “Witty and emotional.... Grab a treasured pet and a box of tissues before sitting down to read this endearing tale.” —RT Book Reviews on Boomer's Bucket List
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