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Processed vs unprocessed collection--what's the difference?
A processed collection has gone through several steps to become a cataloged record, thus available to the researching public. Those steps include a thorough vetting of copyright and restrictions, a verbatim transcription or thorough indexing of the interview including time-stamped calibration, the opportunity for the interviewee to review the transcription, the creation of a finding aid that includes important metadata about the collection, the preservation and optimization of audio files, the creation of user-copies, and cataloging. This process requires the efforts of several LSU Libraries staff members and it has been calculated that for every hour of recording, it takes 35-50 hours to fully process. For a detailed breakdown of the stages and fees associated with archiving oral histories, please see The Oral History Budget. All processed collections are found in the catalog record and many are available on the Louisiana Digital Library. An unprocessed collection is one that has not reached the final stage of completion and is not yet ready to be cataloged. Depending on the stage of processing, more or less of the interview will be available to patrons. See below for the availability of unprocessed collections. An unprocessed collection is not in the catalog record nor the Louisiana Digital Library. A processed collection has gone through several steps to become a cataloged record, thus available to the researching public. Those steps include a thorough vetting of copyright and restrictions, a verbatim transcription or thorough indexing of the interview including time-stamped calibration, the opportunity for the interviewee to review the transcription, the creation of a finding aid that includes important metadata about the collection, the preservation and optimization of audio files, the creation of user-copies, and cataloging. This process requires the efforts of several LSU Libraries staff members and it has been calculated that for every hour of recording, it takes 35-50 hours to fully process. For a detailed breakdown of the stages and fees associated with archiving oral histories, please see The Oral History Budget. All processed collections are found in the catalog record and many are available on the Louisiana Digital Library. An unprocessed collection is one that has not reached the final stage of completion and is not yet ready to be cataloged. Depending on the stage of processing, more or less of the interview will be available to patrons. See below for the availability of unprocessed collections. An unprocessed collection is not in the catalog record nor the Louisiana Digital Library. Answered by: Jennifer Cramer
What are Special Collections?
Special collections refer to unique materials that provide both primary and secondary sources to people conducting original research. Our collections are special due to their scarcity or rarity, historical value, monetary value, or research value. Archives are collections of original records created throughout the lifespan of a person, family, organization, or business. These materials essentially provide evidence of the activities, events, functions, and/or responsibilities of the creator(s). Archives and special collections differ from libraries in the types of materials collected and the ways in which they are acquired, organized, described, and made publicly accessible. These differences prompt us to create specific policies and procedures to ensure that our collections can continue to be used for decades or even centuries to come. Special collections refer to unique materials that provide both primary and secondary sources to people conducting original research. Our collections are special due to their scarcity or rarity, historical value, monetary value, or research value. Archives are collections of original records created throughout the lifespan of a person, family, organization, or business. These materials essentially provide evidence of the activities, events, functions, and/or responsibilities of the creator(s). Archives and special collections differ from libraries in the types of materials collected and the ways in which they are acquired, organized, described, and made publicly accessible. These differences prompt us to create specific policies and procedures to ensure that our collections can continue to be used for decades or even centuries to come. Answered by: Kelly Larson

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Association of weekend catch-up sleep with depression: A systematic review and meta-analysis
Background Weekend catch-up sleep (WCS) may alleviate weekday sleep deprivation, but its relationship with depression risk remains unclear. This systematic review and meta-analysis aims to explore the association between WCS and depression risk.Methods A comprehensive search was conducted in PubMed, Cochrane Library, Embase, Web of Science, and Scopus for observational studies published up to June 1, 2024. Data extraction and bias assessment were independently performed by two reviewers. Odds ratios (ORs) and 95 % confidence intervals (CIs) were calculated, with model selection based on the I2 statistic. Sensitivity analyses and publication bias tests were also conducted.Results A total of ten cross-sectional studies (326,871 participants) were included. Meta-analysis showed that WCS was significantly associated with a reduced risk of depression (OR = 0.80, 95 % CI: 0.68–0.90). Subgroup analyses showed moderate amounts of WCS (0–2 h) may be protective, but WCS beyond 2 h had limited protective effects against depression. Qualitative analyses showed that the protective effect of WCS against depression was more pronounced in men and middle-aged adults, and was particularly applicable to those who were sleep-deprived on weekdays.Limitations The cross-sectional design of included studies limits causality inference, and the sample primarily represents populations from the United States and South Korea, potentially affecting generalizability.Conclusions Moderate WCS is associated with lower depression risk in those with weekday sleep deficits, while excessive WCS may have diminishing or adverse effects. Further research should examine optimal WCS duration and underlying mechanisms.
Prediction of fish (Coilia nasus) catch using spatiotemporal environmental variables and random forest model in a highly turbid macrotidal estuary
Fish populations in estuaries are declining due to the changes in environmental conditions and fishing pressures. The estuarine fish behaviour is highly variable, influenced by both upstream fluvial and downstream tidal conditions. This study aims to predict the catch per unit effort (CPUE) of the Japanese Grenadier Anchovy (Coilia nasus) in the Chikugo River estuary by analyzing an extensive dataset of hourly fish catches and environmental variables through Random Forest (RF) models. The fish catch data for C. nasus, collected at 14.6–16 km upstream from the river mouth during the spawning season of every year from 2009 to 2020 using traditional fishing methods, was used. Along with these catch records, hydro-environmental variables such as salinity, turbidity, and temperature were monitored during the same period. The longitudinal variation of these environmental variables along the estuary (0–16 km) was measured during a fortnightly tidal cycle in September 2010. A total of 32 models (M1-M32) were developed to identify the optimal set of environmental variables influencing CPUE. The analysis highlights the significant impact of variables such as salinity, suspended sediment concentration (SSC), temperature, river discharge, and mean tidal range on CPUE. The results revealed that model M19, which incorporated salinity, SSC, and discharge, achieved the highest predictive accuracy (R2 = 0.89) and closely matched actual field conditions. Further, the results agree with previous research, as spatial distribution plots showed a preference for mature C. nasus habitats 15–16 km upstream from the river mouth. Additionally, the study found that temperature had a negligible effect on short-term CPUE predictions, likely due to its pronounced seasonal variability, suggesting that temperature may not be a critical factor for short-term CPUE predictions. This study highlights the significance of utilizing environmental variables to predict CPUE, emphasizing their role in understanding fish catch dynamics across spatiotemporal variations. The findings provide valuable insights for fisheries management, particularly in optimizing fishing zones based on environmental conditions to improve catch efficiency.
Association between weekend catch-up sleep and the systemic immune-inflammation index in adults: Evidence from the NHANES 2017–2020
Background Chronic sleep deprivation is widespread and associated with detrimental health outcomes, including inflammation. A common strategy to address weekday sleep deficits is weekend catch-up sleep (WCS). However, the relevance of the WCS on systemic inflammation, as quantified by the systemic immune-inflammation index (SII), remains inadequately understood.Methods This cross-sectional analysis examined data from the National Health and Nutrition Examination Survey (NHANES) 2017–2020 cohort. To explore the relationship between the WCS and the SII, we employed univariate analysis, weighted linear regression, restricted cubic spline (RCS) techniques, and subgroup analyses.Results The final sample included 4849 adults. Weighted linear regression confirmed a negative association between the WCS and the SII after adjusting for potential confounders (β = −16.72, 95 % CI: −34.29 to 0.85, P = 0.04). Subgroup analyses revealed that this association varied by obesity, gender, and age. Additionally, the association between the WCS duration and the SII was non-linear (P = 0.006) in adults with a weekday sleep duration of 7–8 h.Conclusion WCS can help mitigate the inflammatory burden associated with chronic sleep deprivation. WCS durations of 3 h and longer are particularly beneficial for adults who experience sleep deprivation on weekdays. The association between WCS and SII appears to be moderated by factors such as obesity, gender, and smoking status.
Standardization of commercial catch data from multiple gears in mixed fisheries accounting for preferential sampling, catchability, and fishing effort
Commercial fisheries constitute a valuable source of high-resolution information that can aid in assessing stocks and establishing management schemes. Especially, multi-gear and multi-species fisheries can provide fine-scale insights in space and time with regards to the patterns in species distribution and abundance as well as to the comparative behavior of the fishing gears deployed. In this work we propose a Generalized Additive Modeling framework to standardize catch data collected through observer monitoring programs using a 2018–2021 dataset from the eastern Ionian (Mediterranean Sea, FAO GFCM GSA20) as a case study of data-poor mixed fisheries. Our framework extends the standardization procedures by accounting for preferential sampling, integrating effort from multiple gears and jointly modeling species. We show that such an integration leads to more robust estimations of abundance for both target and by-catch species as well as decreases inference uncertainty. Regarding single stocks, the identification of the independent effect of factors (e.g. spatial, temporal, fishing effort, gear, skipper effect) can aid in monitoring and management decisions; furthermore, an objective index of abundance is estimated that can be used to infer inter-annual trends from more extended time-series useful for stock assessments. Using standardized catch values, we have generated seasonal maps of species distribution and multiple-species persistence hotspots that are useful for designing spatiotemporal management restrictions and also informative of species ecology. We also address the effect of the technical (selectivity) and behavioral aspects of the fishing gears to inform gear-based management. Finally, we demonstrate how this broad inferential process can be condensed to form species assemblages (based on their shared responses on drivers of catch and abundance) as well as fishing gear assemblages (based on their catch profiles and the apparent heterogeneity between vessels deploying common gears) that can act as units of reference for management. Apart from an objective estimation of stock abundance in time and space, our standardization framework illustrates how ecological, technical and behavioral aspects of mixed fisheries can be collectively evaluated to inform stock assessment and management.
Adoption or Placement in Foster Care and Catch-up in Linear Growth and Development: A Meta-Analysis of Individual Participant Data
The ability of children to recover from linear growth retardation, often referred to as catch-up growth, has intrigued researchers for many decades. Whether adoption from a low-income to a high-income setting, which provides a comprehensive improvement in the conditions that cause children to not grow well, leads to catch-up growth is unknown. We estimated the association of adoption (or placement in foster care) with catch-up in linear growth and child development before 5 y of age. We conducted a 2-stage meta-analysis using individual participant data for linear growth. We obtained study-specific and subgroup estimates and pooled the estimates using random-effects models. Sensitivity analyses were used to assess the robustness of our findings. A review of child-development outcomes was conducted. We included 485 children under 5 y of age from 9 adoption studies. At baseline, children had a mean age of 15.8 mo and a length deficit of 3.9 cm. Adoption reduced this gap by 77% or 3.0 cm (95% confidence interval [CI]: 1.9, 4.1 cm; mean age: 32.3 mo). Catch-up growth was found in both girls (3.6 cm; 95% CI: 2.9, 4.2 cm) and boys (2.5 cm; 95% CI: 1.9, 3.1 cm) and in children adopted after the age of 24 mo (2.2 cm; 95% CI: 0.6, 3.7 cm). The sensitivity analyses did not change any of the substantive findings. The magnitude of catch-up in child development (mean reduction in deficit of 46%) was smaller than that in linear growth. Catch-up in linear growth in children under 5 is biologically possible when the environment is improved profoundly and comprehensively. Partial reversal of the accumulated height deficit is more likely than recovery in developmental outcomes, which highlights the need to ensure all children grow and develop in environments that prevent deficits from occurring rather than trying to correct them.This review was registered at PROSPERO as CRD42022298715 (https://www.crd.york.ac.uk/PROSPEROFILES/298715_PROTOCOL_20220429.pdf).
Relationship between weekends catch-up sleep and risk of aging.
Background: Sleep has been proven to be associated with various chronic diseases and aging. However, many individuals fail to achieve recommended sleep durations on weekdays and opt for compensatory sleep during weekends. This study aims to investigate the relationship between weekend catch-up sleep (CUS) and aging. Methods: All participants were sourced from NHANES 2017–2018. Using the sleep questionnaire, we obtained participants' sleep timings and durations on weekdays and weekends. Weekend CUS was identified as an extension in average weekend sleep duration. Biological age is a biomarker for evaluating biological aging, and its difference from actual age is used to determine aging. Weighted logistic regression analysis was employed to explore the relationship between CUS and aging. Results: A total of 4,713 participants were included in this study, with an average age of 47.54 ± 16.94 years. 50.6% of individuals experienced CUS. Compared to individuals without CUS, participants with CUS had a 20% lower risk of aging (OR = 0.80, 95% CI: 0.63−1). Specifically, participants who engaged in CUS for 0−1 hour showed a 23% lower risk of aging (OR = 0.77, 95% CI: 0.61–0.96), and those with CUS for 1−2 hours had a 20% lower risk of aging (OR = 0.80, 95% CI: 0.65–0.98). Stratifying by bedtime, the relationship between CUS and reduced aging risk is only observed in individuals who usually go to sleep before midnight and have CUS less than 2 hours. Conclusion: The 0–2 hour CUS is associated with a reduced risk of aging, and this relationship is more significant in participants who go to bed early and have healthy sleep patterns. [ABSTRACT FROM AUTHOR]
Changes in free-roaming dog population demographics and health associated with a catch-neuter-vaccinate-release program in Jamshedpur, India.
India's large free-roaming dog populations contribute to significant human health, environmental, and social challenges. Population management strategies, such as catch-neuter-vaccinate-release (CNVR), aim to reduce dog numbers, improve their welfare, and reduce human-animal conflict. Humane Society International (HSI; now operating as Humane World for Animals), in partnership with the Animal Health Foundation, implemented a CNVR program in Jamshedpur, neutering and vaccinating over 20,000 dogs. This study evaluated the impact of this program on dog health, population structure and size. The study areas encompassed 10 sites within Jamshedpur, including both intervention sites where CNVR was directly applied and sites without direct intervention. Data was collected from May 2014 until December 2018, including bi-annual street surveys, as well as clinical data from the dogs captured and treated. We fit logistic regression, negative binomial, and binomial mixed effects models to assess changes in dog population characteristics, health, and reproductive conditions over time in relation to the CNVR intervention. We found that, over the period of this study, the probability of dogs entering the clinic with mange, transmissible venereal tumours, and pregnant significantly reduced. Street surveys showed an increase in sterilised dogs, with higher proportions observed in CNVR-treated sites, although the counts of dogs observed increased overall. The age-structure of free-roaming dogs remained stable over time. In CNVR-treated areas, the probability of observing lactating female dogs decreased, whereas it increased in untreated sites. This work contributes to the growing body of knowledge investigating the impact of dog population management interventions. Continued monitoring and evaluation of CNVR programs are required to identify optimal coverage required to reduce population size effectively. [ABSTRACT FROM AUTHOR]
Disentangling the effects of applying pig slurry or its digestate to winter wheat or a catch crop on dissolved C fluxes
The anaerobic digestion industry, which is still developing, generates biogas from organic waste products. A co-product of this process, digestate, is increasingly produced and can be recycled on agricultural land as an alternative to mineral fertilizers. Biogas digestate is a recent product whose chemical composition differs from that of its source material, and additional data still need to be acquired on its effects on dissolved carbon fluxes. The objectives of this study were to assess (i) the effects of applying biogas digestate on dissolved organic carbon (DOC) and dissolved inorganic carbon (DIC) fluxes with different winter crops, (ii) the dynamics of DOC and DIC concentrations during the drainage season, and (iii) the annual dynamics of DOC and DIC fluxes along the soil profile. The study examined effects of applying biogas digestate, pig slurry, or a mineral fertilizer to winter wheat and two catch crops (mustard and a multispecies crop) on DOC and DIC fluxes in the soil. Lysimeters at 40 cm (topsoil) and 90 cm (subsoil) depths were monitored from 2014 to 2023, from November to March (i.e., 9 winter drainage seasons). During the drainage season, the DOC concentration was highest with digestate, and its timing depended on development of the cover crop: from the beginning of the drainage season for mustard and the multispecies crop and around February for wheat. Applying digestate increased the topsoil DOC fluxes (mean of 35.7 ± 13.7 kg.ha⁻¹ with digestate vs. 21.0 ± 6.7 kg.ha⁻¹ with the other treatments), particularly under mustard. Topsoil DIC fluxes were highest with pig slurry due to higher mineralization than that with digestate (mean of 59.1 ± 22.8 kg.ha⁻¹ with pig slurry vs. 46.2 ± 16.3 kg.ha⁻¹ with the other treatments). In the subsoil, DOC fluxes were low (6.2 ± 4.1 kg.ha⁻¹) and DIC fluxes were high (80.0 ± 45.7 kg.ha⁻¹), with no difference among treatments.