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Weekend catch-up sleep involves not only changes in sleep duration between weekdays and weekends but also changes in sleep timing. When people sleep less during the weekdays, they accumulate sleep debt and extend their sleep duration on weekends to compensate, which is related with the homeostatic process. Thus, extend their sleep duration on weekends seems to be a protectively strategy of daytime function, mental and physical health. However, not all studies support this protective effect. Sleep duration changes with sleep timing. The difference in sleep timing between weekdays and weekends might bring social jet lag (SJL). Sleep duration changes with sleep timing. The difference in sleep timing between weekdays and weekends can lead to SJL, representing the discrepancy between the biological clock and the social clock. This makes SJL an indicator of circadian misalignment, which is associated with poor daytime function, reduced nighttime sleep quality, and an increased risk of depression, metabolic disturbances, and other diseases. Paradoxically, the protective effect of weekend catch-up sleep duration on the homeostatic process (compensating for sleep debt) and the potential impact of weekend catch-up sleep timing on the circadian process (circadian misalignment) contradict each other. A more comprehensive understanding of weekend catch-up sleep is essential to investigate its mechanisms using the two-process model and other influencing factors.

Background: Prematurity and neonatal hypotrophy (defined as a Z-score below -2 for weight, length, or head circumference) increase the risk of perinatal morbidity, mortality, and long-term developmental disorders. This study examines the growth trajectories of Moroccan preterm infants and investigates the factors influencing their overall growth outcomes at six months, including weight, length, and head circumference. Study Design: A retrospective longitudinal cohort study Methods: This study was conducted at the National Reference Center for Neonatology and Nutrition in Rabat from April to October 2023. It included 686 premature newborns (24-36 weeks) hospitalized for ≥ 48 hours, with complete anthropometric data and follow-up of six months. Exclusion criteria were major malformations, chromosomal abnormalities, metabolic disorders, and incomplete data. ANOVA and multivariate logistic regression identified independent predictors of weight growth outcomes at six months (WAZ ≥ -2), adjusting for confounders (gestational age, gender, hospitalization, multiparity, phototherapy, antibiotics, and early food diversification). Results are reported as odds ratios (ORs) with 95% confidence intervals (CI). Growth curves were generated with Python. Significance was set at P < 0.05. Results: Gestational age of ≥ 32 weeks (OR = 6.66, 95% CI: 1.21, 36.72; P = 0.029) and multiparity (OR = 12.09, 95% CI: 2.12, 68.93; P = 0.005) predicted growth outcomes, while a hospital stay of ≥ 10 days reduced the likelihood (OR = 0.05, 95% CI: 0.01, 0.27; P = 0.001). Male gender and antibiotic use showed non-significant trends (P = 0.053). Conclusion: Close monitoring and targeted nutritional strategies are essential to improve postnatal growth in preterm infants.

Purpose Age-related hearing loss (ARHL) impacts quality of life and cognition in older adults, but its link to sleep patterns remains unclear. This study explores associations between ARHL and sleep duration, weekend catch-up sleep (WCS), and bedtime regularity in a Korean population.Methods Data from 6797 adults aged ≥ 40 years were analyzed using the Korea National Health and Nutrition Examination Survey (KNHANES, 2021–2022). Sleep patterns were assessed via self-reported questionnaires. ARHL was classified as mild (26–41 dB) or moderate and above (>41 dB) using audiometry. Poisson regression models examined associations between sleep characteristics and ARHL, adjusting for confounders.Results WCS (≥1 h) was significantly associated with a lower prevalence of both mild (adjusted prevalence ratio = 0.58, 95 % CI: 0.44–0.76) and moderate ARHL (aPR = 0.79, 95 % CI: 0.63–0.98). These associations remained robust in stratified analyses among middle-aged adults and men (p-interaction < 0.01). In contrast, sleep duration and bedtime regularity showed no significant associations with ARHL after adjustment.Conclusion Our findings indicate that WCS may be associated with a lower prevalence of ARHL, particularly in middle-aged adults and men, highlighting the potential role of sleep behavior in auditory health promotion.

Cats and dogs rule—and wreak humorous havoc—in this innovative picture book that reads from front to back and back to front! In this action-packed follow-up to Find Me: A Hide-and-Seek Book, readers will delight in tracking a sly cat, Big Meow, and an elusive dog, Little Woof, through 11 richly detailed scenes populated with dogs, cats, and other cute creatures. Finding each protagonist is made even more fun with vibrant color changes on every page. Open the book from the front to search for Big Meow, then open the book from the back to turn the tables and catch Little Woof. It's two seek-and-find experiences in one book!

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.

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]