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Background: Depression is a common global mental health issue, affecting around 3.8% of the population. It significantly impacts quality of life and social functioning, posing a major public health challenge. Sleep is a key factor influencing depression, with both sleep quality and quantity linked to mental health. However, sleep deprivation is widespread, and many people compensate by "weekend sleep recovery." The effects of sleep deprivation and weekend recovery on depression risk are unclear, as irregular sleep patterns may worsen depressive symptoms. This study introduces the "Weekend Catch-up Sleep Ratio" (CUS ratio) to better understand the relationship between sleep patterns and depression. Methods: Cross-sectional data were obtained from individuals who participated in the 2021–2023 National Health and Nutrition Examination Survey (NHANES) and had complete data on CUS and the Patient Health Questionnaire (PHQ-9). Multivariable logistic regression was performed to assess the potential independent association between depression and the CUS ratio. Additionally, smoothing curve fitting, threshold effect analysis, subgroup analysis, and interaction tests were conducted. Results: A total of 4,656 individuals were analyzed, categorized by depression symptoms (PHQ-9 score of 10 or higher), with an overall depression risk of 12.4%. In the adjusted model, the CUS ratio was significantly positively associated with depression risk (AOR = 1.75, 95% CI: 1.25–2.45), exhibiting a nonlinear threshold effect (inflection point at 1.11). When the CUS ratio ≤ 1.11, an increase in the ratio was associated with a reduced depression risk (AOR = 0.34, 95% CI: 0.13–0.89), whereas when the CUS ratio > 1.11, each unit increase in the ratio significantly increased depression risk by 187% (AOR = 2.87, 95% CI: 1.84–4.50). Individuals with education levels of less than 9th grade, some college or an Associate of Arts (AA) degree, those who are overweight (25 ≤ BMI < 30), and those without diabetes appeared more sensitive to fluctuations in sleep patterns. In the adjusted model for the severity of depressive symptoms, the CUS ratio was significantly positively associated with depression severity (Aβ = 0.19, 95% CI: 0.09–0.28), also exhibiting a nonlinear threshold effect (inflection point at 1.11). When the CUS ratio ≤ 1.11, an increase in the ratio was associated with a reduction in depression severity (Aβ = -0.35, 95% CI: -0.62 to -0.09), whereas when the CUS ratio > 1.11, each unit increase in the ratio significantly increased depression severity (Aβ = 0.36, 95% CI: 0.24–0.49). In particular, individuals without diabetes appeared more sensitive to fluctuations in sleep patterns. Conclusions: This study suggests that maintaining a balanced sleep pattern, with a CUS ratio between 1 and 1.11, may help reduce depression risk and promote better mental health. [ABSTRACT FROM AUTHOR]

Small-scale fisheries are the most dominant category of fishing fleet among all active fishermen in Indonesia. Various small-scale fishing fleets are also found at the Palabuhanratu Nusantara Fishing Port. Handline fishing is one of several small-scale fishing fleets (

CATCH-1, as the first satellite of Chasing All Transients Constellation Hunters (CATCH) space mission, was successfully launched into its expected orbit on June 22, 2024. The flight model underwent environmental tests before launch, including thermal cycling, thermal vacuum, and mechanical evaluations. The CATCH-1 detector system is equipped with a 4-pixel Silicon Drift Detector (SDD) array. To ensure the reliability and redundancy of the CATCH-1 detector system, two sets of data acquisition systems were independently designed and calibrated. Our focus is on presenting the ground calibration results of CATCH-1, which demonstrate a strong linear correlation between energy and channel. The main data acquisition system achieves an energy resolution of ∼≤∼4μs≤10μs 120 eV@4 keV, while the backup data acquisition system has a slightly lower energy resolution of around 150 eV@4 keV, both meeting the design requirement of ∼≤∼4μs≤10μs 160 eV@4 keV. Additionally, the time resolution is ∼≤∼4μs≤10μs, complying with the design requirement of ∼≤∼4μs≤10μs. The calibration database now includes the ground calibration results of CATCH-1, establishing a dependable basis for future data analysis. The development experience, calibration, and test results of this detector system will also provide a solid foundation for subsequent tasks such as CATCH-2.

ABSTRACT Tuna fishing is a major source of government revenue and economic growth in the Pacific Island countries. In 2007, a group of these countries introduced the Vessel Day Scheme (VDS), marking a shift from older access agreements to a more structured effort‐based management system. The VDS introduced tradeable fishing days as a mechanism to control effort and generate higher economic returns. Since its implementation, domestic tuna catches in VDS‐participating countries have shown notable increase. This study examines how the VDS affected tuna catches in 17 Pacific countries from 2000 to 2020. Using a Difference‐in‐Differences method, the results show that countries participating in the VDS increased their tuna catches by more than 200% compared to non‐VDS countries. These findings suggest that while the VDS has economic benefits, stronger conservation efforts are also needed to make sure tuna fishing remains sustainable in the future.

PurposeTo answer the questions: what roles windows of opportunity act in the catchup process of latecomers, what strategies latecomer enterprises should adopt to size windows of opportunity to catch-up with incumbents even going beyond?Design/methodology/approachThis paper studies the catch-up history of the Chinese mobile phone industry and proposes a sectoral innovation system under scenario of technology paradigm shifts. Then a history-friendly simulation model and counterfactual analysis are conducted to learn how different windows of opportunity and catch-up strategies influence the catch-up performance of latecomers.FindingsResults show latecomers can catch up with technology ability by utilizing technology window and path-creating strategy. However, catching up with the market is not guaranteed. Demand window can help latecomers to catch up with market as it increases their survival rates, different sized windows benefit different strategies. However, it also enlarges incumbents' scale effect. Without technology window technology catch up is not guaranteed. Two windows have combination effects. Demand window affects the “degree” of change in survival rates, while the technology window affects the “speed” of change. Demand window provides security; technology window provides the possibility of a breakthrough for technology ability.Practical implicationsThe findings of this paper provide theoretical guidance for latecomer enterprises to choose appropriate catch-up strategies to seize different opportunity windows.Originality/valueThis paper emphasizes the abrupt change of industrial innovation system caused by technology paradigm shifts, which makes up for the shortcomings of previous researches on industrial innovation system which either studied the influence of static factors or based on the influence of continuous changes.

We addressed the impact of angling in two Mediterranean inshore sites by conducting a tag-recapture study on caught-and-released black scorpionfish (Scorpaena porcus) and giant goby (Gobius cobitis). We assessed the relationship between the fish vitality at release and the main factors affecting it, i.e. air exposure time, water temperature, fish length and handling. Then, we used conventional fish tags to study fish survivability to catch and release, growth rates, behaviour and site fidelity. Overall, 17 species (mainly gobids and sparids) were caught, with differences in species composition and abundance between the two sites, probably related to their different depth range. A total of 136 individuals of S. porcus and 38 of G. cobitis were caught, tagged and released. S. porcus had a better vitality than G. cobitis once released, which was negatively associated with an increase in air exposure time, although not significant. We recorded 34 recapture events, with a resulting recapture rate of 19.9% for S. porcus (without considering multiple recaptures) and 5.3% for G. cobitis. The length-weight relationship revealed an isometric growth in both species. The von Bertalanffy growth parameters (± standard error) estimated for S. porcus were L∞ = 26 cm ± 5.25 and k = 0.21 ± 0.09, with no significant differences detected in growth rate between immature and mature individuals. The species’ high site fidelity and resilience to catch-and-release indicate its potential susceptibility to repeated angling in confined coastal habitats. These results highlight the need to account for the cumulative ecological impacts of recreational fisheries in the management of coastal fish populations.