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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
How does the Center decide whom to interview?
The Williams Center chooses interviewees whose recollections best fit within one of our projects. If you know someone whose life experience fits within within one of our projects, let us know about that person and why you think their stories would contribute to our oral history collection. To nominate someone for an interview, complete and return our bio data form. However, due to limited resources, a better alternative may be to interview the person yourself. We can provide guidance and training in oral history techniques so that you can interview people whose stories and memories deserve preservation. To learn more about our trainings, please visit Create an Oral History (https://lib.lsu.edu/oralhistory) Answered by: Jennifer Cramer
I have conducted my own interviews for another project. Can I donate them to the Center?
The Williams Center accepts audio and video recordings into our collection if they meet the following criteria. Each sound record must be:
- a recording of an oral history interview, preferably between two people
- in playable condition and of a recording quality sufficiently clear for transcription
- in a media format compatible with current center practice, which is in digital .wav format for audio (see *below regarding video)
- on a topic that contributes to the existing collection of the center
- accompanied by a legal release signed by the interviewee
- accompanied by a legal release signed by the interviewer, signing over all rights, title, and interest to Louisiana State University
- begun with a recorded introduction including the name of interviewee, name of interviewer, date, and location of interview
- conducted in accordance with the Oral History Association's "Principles and Best Practices for Oral History."
- how well the interviews are documented and the level and quality of their accompanying descriptions
- the inclusion of a transcription or thorough index, or funds dedicated to a transcription or thorough indexing. For more information on submitting projects for evaluation and to get the conversation started, please contact us at jabrah1@lsu.edu. Answered by: Jennifer Cramer
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Database Listing

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LLMC Digital
LLMC is a non-profit cooperative of libraries dedicated to the twin goals of preserving legal titles and government documents while making copies inexpensively available digitally through its online service LLMC-Digital. LLMC provides libraries with a reliable and budget-friendly source of digital replacement when their older, physically deteriorating books became too burdensome to store given diminished use. While aiding libraries in their preservation and space recovery programs, it also provides an economical way to complete retrospective collections.
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Discovery

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Trade-offs between bycatch and target catches in static versus dynamic fishery closures
While there have been recent improvements in reducing bycatch in many fisheries, bycatch remains a threat for numerous species around the globe. Static spatial and temporal closures are used in many places as a tool to reduce bycatch. However, their effectiveness in achieving this goal is uncertain, particularly for highly mobile species.We evaluated evidence for the effects of temporal, static, and dynamic area closures on the bycatch and target catch of 15 fisheries around the world. Assuming perfect knowledge of where the catch and bycatch occurs and a closure of 30% of the fishing area, we found that dynamic area closures could reduce bycatch by an average of 57% without sacrificing catch of target species, compared to 16% reductions in bycatch achievable by static closures. The degree of bycatch reduction achievable for a certain quantity of target catch was related to the correlation in space and time between target and bycatch species. If the correlation was high, it was harder to find an area to reduce bycatch without sacrificing catch of target species. If the goal of spatial closures is to reduce bycatch, our results suggest that dynamic management provides substantially better outcomes than classic static marine area closures. The use of dynamic ocean management might be difficult to implement and enforce in many regions. Nevertheless, dynamic approaches will be increasingly valuable as climate change drives species and fisheries into new habitats or extended ranges, altering species-fishery interactions and underscoring the need for more responsive and flexible regulatory mechanisms.
Playing Catch-Up: Evaluating Playback Speed Control in Low-Latency Live Streaming
The surge in popularity of live video streaming has spurred the development of various bitrate adaptation techniques, all aimed at enhancing user Quality of Experience (QoE). Compared to streaming Video-on-Demand, achieving low-latency live video streaming under fluctuating network conditions poses additional challenges. It requires finding the balance between rebuffering avoidance and latency, as a small client buffer is required to achieve low latency. Video players can also employ playback speed control to help optimize this balance. Specifically, when client buffer occupancy is high and hence latency is high, the player may increase playback speed to reduce the latency; and conversely, when client buffer occupancy is low and hence the risk of rebuffering is high, the player may reduce playback speed to increase buffer occupancy. Based on this rationale, a variety of playback speed control methods have been proposed. This paper evaluates, using a real-world testbed, the effectiveness of various playback speed control mechanisms when applied to a set of bitrate adaptation algorithms, with the evaluation also encompassing variations in target latency and network conditions. Our findings show a lack of coordination between adaptive bitrate (ABR) algorithms and playback speed control mechanisms. This leads us to conclude that there is a need for new playback speed control methods designed in conjunction with ABR algorithms.
Catch Me if You Can: Effective Honeypot Placement in Dynamic AD Attack Graphs
We study a Stackelberg game between an attacker and a defender on large Active Directory (AD) attack graphs where the defender employs a set of honeypots to stop the attacker from reaching high-value targets. Contrary to existing works that focus on small and static attack graphs, AD graphs typically contain hundreds of thousands of nodes and edges and constantly change over time. We consider two types of attackers: a simple attacker who cannot observe honeypots and a competent attacker who can. To jointly solve the game, we propose a mixed-integer programming (MIP) formulation. We observed that the optimal blocking plan for static graphs performs poorly in dynamic graphs. To solve the dynamic graph problem, we re-design the mixed-integer programming formulation by combining m MIP (dyMIP(m)) instances to produce a near-optimal blocking plan. Furthermore, to handle a large number of dynamic graph instances, we use a clustering algorithm to efficiently find the m-most representative graph instances for a constant m (dyMIP(m)). We prove a lower bound on the optimal blocking strategy for dynamic graphs and show that our dyMIP(m) algorithms produce close to optimal results for a range of AD graphs under realistic conditions.
Learning to Catch Reactive Objects with a Behavior Predictor
Tracking and catching moving objects is an important ability for robots in a dynamic world. Whilst some objects have highly predictable state evolution e.g., the ballistic trajectory of a tennis ball, reactive targets alter their behavior in response to motion of the manipulator. Reactive applications range from gently capturing living animals such as snakes or fish for biological investigations, to smoothly interacting with and assisting a person. Existing works for dynamic catching usually perform target prediction followed by planning, but seldom account for highly non-linear reactive behaviors. Alternatively, Reinforcement Learning (RL) based methods simply treat the target and its motion as part of the observation of the world-state, but perform poorly due to the weak reward signal. In this work, we blend the approach of an explicit, yet learned, target state predictor with RL. We further show how a tightly coupled predictor which ‘observes’ the state of the robot leads to significantly improved anticipatory action, especially with targets that seek to evade the robot following a simple policy. Experiments show that our method achieves an 86.4% (open plane area) and a 73.8% (room) success rate on evasive objects, outperforming monolithic reinforcement learning and other techniques. We also demonstrate the efficacy of our approach across varied targets and trajectories. All code, data, and additional videos are at this GitHub link: https://kl-research.github.io/dyncatch.
Gotta Catch 'em All, Safely! Aerial-Deployed Soft Underwater Gripper
Underwater soft grippers exhibit potential for applications such as monitoring, research, and object retrieval. However, existing underwater gripping techniques frequently cause disturbances to ecosystems. In response to this challenge, we present a novel underwater gripping framework comprising a lightweight gripper affixed to a custom submarine pod deployable via drone. This approach minimizes water disturbance and enables efficient navigation to target areas, enhancing overall mission effectiveness. The pod allows for underwater motion and is characterized by four degrees of freedom. It is provided with a custom buoyancy system, two water pumps for differential thrust and two for pitching. The system allows for buoyancy adjustments up to a depth of 6 meters, as well as motion in the plane. The 3-fingered gripper is manufactured out of silicone and was successfully tested on objects with different shapes and sizes, demonstrating a maximum pulling force of up to 8 N when underwater. The reliability of the submarine pod was tested in a water tank by tracking its attitude and energy consumption during grasping maneuvers. The system also accomplished a successful mission in a lake, where it was deployed on a hexacopter. Overall, the integration of this system expands the operational capabilities of underwater grasping, makes grasping missions more efficient and easy to automate, as well as causing less disturbance to the water ecosystem.
Is sorghum a promising summer catch crop for reducing nitrate accumulation and enhancing eggplant yield in intensive greenhouse vegetable systems?
Purpose: Summer catch crop (CC) has been introduced into the vegetable rotating system in greenhouse fields to reduce nitrogen (N) losses through crop uptake and residual N immobilization. However, the effects of planting sorghum with high N uptake and biomass, and biological nitrification inhibition (BNI) potential as a CC on soil N dynamics and subsequent crop yield remain unclear. Methods: In the two-year field experiment, the comprehensive effects of planting sorghum as CC on subsequent eggplant yield, soil mineral N dynamics, ammonia-oxidizing archaea (AOA) and bacteria (AOB) amoA gene abundances were determined, in comparison to the sweet corn and fallow treatments. Results: Compared to the fallow and sweet corn, planting sorghum as CC increased subsequent eggplant yield by 24.88% and 18.94% in the 2014–2015 and 2015–2016 over-winter growing season, respectively. CC planting reduced soil nitrate (NO3−-N) accumulation during the summer fallow season. Sorghum planting could significantly maintain higher level of ammonium (NH4+-N) concentration during the summer fallow season and the first month of succeeding over-winter season. In addition, sorghum planting reduced soil net nitrifying potential, which could be partially attributed to the decreased amoA gene abundance of AOA at the 0–30 and 30–60 cm soil layers and AOB at 0–30 cm soil layer. Conclusion: We conclude that planting sorghum in the summer fallow season is a promising strategy to retain soil NH4+-N, reduce soil NO3−-N accumulation, and enhance subsequent eggplant yield. [ABSTRACT FROM AUTHOR]
Recreational shellfish harvesting on a sandy beach in the Algarve coast (southern Portugal): First appraisal of the annual catch of wedge clams (Donax trunculus)
This study aimed to characterise the recreational harvesting of wedge clams (Donax trunculus) in the Algarve coast (southern Portugal) and estimate its annual catches by recreational harvesters (RHs). For this purpose, 50 harvesting surveys were performed along the sandy intertidal during one-year (May 2022 - April 2023), roughly on a weekly basis during suitable tidal ranges (≤ 1.0 m). Overall, RHs were gender-balanced and older harvesters (≥ 65 years-old) prevailed. RHs were clearly more numerous from late spring to summer, especially in August, with most RHs collecting wedge clams with foot / hand and only a minority (≈20 %) also using a shrimp-net. RHs catches comprised mostly D. trunculus below the minimum conservation reference size (MCRS = 25 mm in shell length) legally stipulated for this species. The estimation of RHs annual catches of D. trunculus was based on standardised catches per harvester (number and weight hour−1), extrapolated using the total number of RHs and suitable tides for wedge clams recreational harvesting during the one-year study period. Collecting and processing geolocated data on RHs activity allowed mapping the spatial-temporal distribution of the recreational harvesting effort targeting wedge clams, further confirming the importance of spatial data as a support tool for management and decision-making processes. This study further confirmed the need to raise awareness and inform RHs about the best harvesting practices, aiming ultimately to improve the assessment and promote the long-term sustainable management of this recreational activity and shellfish resource.
Modelling approaches to distinguish whiting species in mixed-species commercial catches, and the impact on stock status metrics
Catch allocation models can split aggregated mixed-species catches into individual species for stock assessments and fisheries management. In this paper, we evaluate a suite of these models for splitting mixed ‘trawl whiting’ catches into eastern school whiting (Sillago flindersi) and stout whiting (S. robusta) allocations for a commercial ocean prawn trawl fishery in New South Wales (NSW), Australia. Accuracy of the models was evaluated against a scientific observer survey which accurately recorded species catches, and we compared the modelled allocations to an existing coarse ‘rule-based’ allocation. There was no single best structure for the allocation model, but the most successful models included depth as a covariate because this helped split species along habitat preferences. The model-based allocations reduced trip-level error by around 40 % compared to the existing rules, and removed an existing bias in total catch estimates. This led to altered time series of catches and catch-per-unit-effort, especially for northern zones. When data were analysed for the entire NSW region, the catch allocation process (existing or modelled) had little impact on resulting indices of relative abundance for each whiting species, even when using a spatio-temporal standardization model. This was likely due to changes affecting scale rather than trend and our indices being rescaled to better compare time periods. Therefore, past stock assessments relying on statewide indices derived from existing rule-based allocations are likely reliable. Nevertheless, the modelled allocations were more accurate at a local and zonal scale, which will enable analyses with a finer spatial resolution in future stock assessments. Additional observer surveys are an important tool for ongoing improvement and validation of our allocation models.
Spawning stock recovery of Pacific bluefin tuna (Thunnus orientalis): Evidence from length, age and catch data of Taiwanese longline fishery in 2010–2023
Pacific bluefin tuna (Thunnus orientalis, PBF), a highly migratory and commercially important species, faces intense fishing pressure. Taiwanese PBF catches, which reached a nadir in 2012, gradually increased from 2014 onwards, culminating in a dramatic fivefold surge after 2019. This study analyzed the adult population from PBF landings in Taiwan from 2010 to 2023 to inform fisheries management. We found a strong correlation between declining juvenile catches in Japanese troll or purse seine fishery and increasing adult catches in Taiwanese and Japanese longline fishery, with a 7–9 year lag. Age estimation, using otolith annuli and age-length keys, revealed a temporal shift in age composition. Despite the substantial increase in Taiwanese catch size, the average age of landed PBF decreased. The spawning stock, previously dominated by older individuals (14–18 years), now primarily consisted of younger fish (8–12 years). Prior to 2014, most PBF measured between 220 and 240 cm in fork length; after 2017, this range generally decreased to 200–220 cm. Permutation test using fish size and otolith direct ageing data suggested a lower mean fork length at age for the PBF landed in the recent years compared to earlier years. Furthermore, a linear mixed model showed a relationship between fork length and fishing year, indicating a consistent decrease in fork length across all age groups. These results suggest that reduced fishing pressure on juvenile PBF (0–1 years old) has allowed more individuals to reach adulthood, contributing to the observed recovery of the spawning population. These findings provide valuable insights into the effective fishery management and PBF stock rebuilding in Taiwan and other regions.
Spatial-temporal strategy and fishing practices drive catch composition in FAD-associated tuna purse seine fisheries in the Western and Central Pacific Ocean
The widespread use of drifting fish aggregation devices (FADs) in tuna purse seine fisheries since the mid-1990s has raised sustainability concerns due to increased fishing mortality of unwanted species, such as small-sized tunas and silky sharks (Carcharhinus falciformis, FAL). A better understanding of ways to mitigate the catch unwanted species while increasing the catch of target species is critical for developing ecosystem-based management approaches. Here, we analyzed fisheries logbook data and scientific observer records of 345 FAD-associated fishing sets collected in the Western and Central Pacific Ocean to assess the influence of spatial-temporal strategies and fishing practices on the catch composition. Results demonstrate that technical adjustments can enhance the potential sustainability of tuna purse seine fisheries. Especially, small-sized tuna catches were concentrated in northern and eastern regions (2°N–6°N, 170°E–175°E), while FAL bycatch exhibited a more widespread distribution. Fishing practices factors, such as the duration of the purse seine gear set (∼9 min) and the time of the set relative to sunrise (∼30 min); substantially increased tuna catches while minimizing small-sized tuna catches. Seasonal analysis revealed that the pre-closure period (January to June) positively impacted tuna catches and reduced small-sized tuna catches. Moreover, FADs submerged structure at depths of 80 m stabilized tunas and FAL, while small-sized tunas tended to associate with deeper structures (90 m).
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