Planning for the future is a complex skill that is often considered uniquely human. This cognitive ability has never been investigated in wild gibbons (Hylobatidae). Here we evaluated the movement patterns from sleeping trees to out-of-sight breakfast trees in two groups of endangered skywalker gibbons (). These Asian apes inhabit a cold seasonal montane forest in southwestern China. After controlling for possible confounding variables including group size, sleeping pattern (sleep alone or huddle together), rainfall and temperature, we found that food type (fruits or leaves) of the breakfast tree was the most important factor affecting gibbon movement patterns. Fruit breakfast trees were more distant from sleeping trees compared with leaf trees. Gibbons left sleeping trees and arrived at breakfast trees earlier when they fed on fruits compared with leaves. They travelled fast when breakfast trees were located further away from the sleeping trees. Our study suggests that gibbons had foraging goals in mind and plan their departure times accordingly. This ability may reflect a capacity for route-planning, which would enable them to effectively exploit highly dispersed fruit resources in high-altitude montane forests.
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http://dx.doi.org/10.1098/rspb.2023.0430 | DOI Listing |
Alzheimers Dement
December 2024
University of California, San Diego, La Jolla, CA, USA.
Background: Neurocognitive health is influenced by multiple modifiable and non-modifiable lifestyle factors. Machine learning tools offer a promising approach to better understand complex models of cognitive function. We used extreme gradient boosting (XG Boost), an algorithm of decision-tree modeling, to analyze the association between 15 late-life lifestyle and demographic factors with episodic memory performance.
View Article and Find Full Text PDFFront Public Health
December 2024
Department of Nursing, Harbin Medical University, Harbin, China.
Objective: This study investigates the factors influencing sedentary behavior in older adult Chinese stroke patients using decision trees and logistic regression models.
Methods: Convenience sampling method was employed to enroll 346 respondents aged ≥60 years with stroke from the Department of Neurology of three tertiary-level A hospitals in Heilongjiang province, based on the inclusion criteria. The Sedentary Behavior Questionnaire for Older Adults, the International Physical Activity Questionnaire Short Form (IPAQ-S), the Pittsburgh Sleep Quality Index (PSQI), the Self-Rating Depression Scale (SDS), and the Social Support Scale (SSRS) were used to assess sedentary behavior, physical activity level, sleep quality, depressive symptoms, and social support, respectively.
Epidemiol Health
December 2024
Faculty of Public Health, Thammasat University, Lampang, Thailand.
Objectives: Food delivery riders (FDRs) play a crucial role in the food delivery industry but face considerable challenges, including a rising number of traffic accidents. This study aimed to examine the incidence of traffic accidents and develop a decision tree model to predict the likelihood of traffic accidents among FDRs.
Methods: A cross-sectional study was conducted with 257 FDRs in Chiang Mai and Lampang Province, Thailand.
BMC Health Serv Res
November 2024
Division of Pulmonary, Critical Care, Allergy, and Sleep Medicine, Department of Medicine, Medical University of South Carolina, Charleston, SC, USA.
Background: The higher cost of balanced fluids has historically contributed to preferential normal saline (NS) use. Recent clinical trials demonstrated that balanced fluids reduced the incidence of major adverse kidney events among hospitalized patients and also reduced mortality among critically ill patients. This study sought to conduct an economic evaluation of a recently published quality improvement (QI) intervention to increase preferential balanced fluid prescribing, which significantly increased the relative proportion of balanced fluid orders.
View Article and Find Full Text PDFEnviron Res
January 2025
Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Public Health Sciences, University of California, Davis School of Medicine, Sacramento, CA, USA.
Background: Accurately capturing individuals' experiences with greenspace at ground-level can provide valuable insights into their impact on children's health. However, most previous research has relied on coarse satellite-based measurements.
Methods: We utilized CVH and residential address data from Project Viva, a US-based pre-birth cohort, tracking participants from mid-childhood to late adolescence (2007-21).
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