The present study examined the activity budgets of 15 African elephants (1 bull, 6 cows, 2 male juveniles, 2 female juveniles, and 4 male calves) living at the San Diego Zoo Safari Park during the summers of 2010 and 2011. Onsite behavioral data (n = 600 hr) were collected for approximately 12 weeks from 0400 to 0830 and 1100 to 2400 during the 2010 and 2011 summer season. Foraging was the most common behavior state during the day followed by resting, and walking. During the evening hours, the elephants spent majority of their time foraging, resting, and sleeping. The average rate of self-maintenance behavior events (dust, wallow, etc.) increased from 0600 to 0700, 1100 to 1500, and from 1700 to 1900. Positive social behavior events (touch other, play, etc.) remained high from 0500 to 2300, with peaks at 0600, 1300, 1500, and 1900. Negative social events occurred at low rates throughout the day and night, with peaks at 0600, 1900, and 2200. The majority of positive behavior events during the daylight and nighttime hours involved the mother-calf pairs. Furthermore, the calves and juveniles initiated approximately 60% of all social events during the daytime and 57% of all social interactions at night. The results of this study demonstrate the differences between diurnal and nocturnal activity budgets of a multi-age and sex elephant herd in a zoological facility, which highlights the importance of managing elephants to meet their 24 hr behavioral needs.
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http://dx.doi.org/10.1002/zoo.21160 | DOI Listing |
Environ Res
January 2025
Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; Earth Critical Zone and Flux Research Station of Xing'an Mountains, Chinese Academy of 15 Sciences, Daxing'anling 165200, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 10049, China. Electronic address:
Accurate quantifying of methane (CH) emissions is a critical aspect of current research on regional carbon budgets. However, due to limitations in observational data, research methodologies, and an incomplete understanding of process mechanisms, significant uncertainties persist in the assessment of wetland CH fluxes in China. In this study, we developed a machine learning model by integrating measured CH fluxes with related environmental data to produce a high-resolution (1 km) dataset of CH fluxes from China's wetlands for the period 2000-2020.
View Article and Find Full Text PDFForensic Sci Int Synerg
December 2024
Department of Political Sciences and Law, Kyiv National University of Construction and Architecture, 31, Povitroflotsky Avenue, Kyiv, 03037, Ukraine.
The relevance of the issues studied in this article is due to the need to form an efficiently functioning system of regulating forensic expert activity in general and its individual components, in particular, financial support, taking into account positive foreign experience. The author proposes to introduce separate budget programmes for state specialised institutions of each state agency, which will help to resolve the issues of proper funding and justification of expenditures, and will serve as an anti-corruption factor. Attention is focused on the need to develop a unified methodological approach to calculating the number of forensic examinations.
View Article and Find Full Text PDFCommunity Ment Health J
January 2025
Department of Pharmacy, University of Washington School of Pharmacy, 1959 NE Pacific Street, Box 357630, Seattle, WA, 98195, USA.
Pharmacists are highly accessible healthcare professionals with presence in communities, hospitals, and clinics. They are well positioned to expand their roles in supporting individuals with mental health challenges. A cross-sectional study was conducted to identify trends in how pharmacists assess, monitor, identify, and care for patients with mental health challenges.
View Article and Find Full Text PDFSci Rep
January 2025
Electrical Engineering Department, Kerman Branch, Islamic Azad University, Kerman, Iran.
In this paper, a robust fuzzy multi-objective framework is performed to optimize the dispersed and hybrid renewable photovoltaic-wind energy resources in a radial distribution network considering uncertainties of renewable generation and network demand. A novel multi-objective improved gradient-based optimizer (MOIGBO) enhanced with Rosenbrock's direct rotational technique to overcome premature convergence is proposed to determine the problem optimal decision variables. The deterministic optimization framework without uncertainty minimizes active energy loss, unmet customer energy, and renewable generation costs.
View Article and Find Full Text PDFPLoS One
December 2024
Complexity Science Hub, Vienna, Austria.
Regular physical activity is essential for the healthy development of children, and sports clubs are one of the main drivers of regular exercise. Previous studies have demonstrated that public subsidies can increase participation rates in sports clubs. The effectiveness of funding in increasing participation rates depends on multiple factors, such as geographic location, the size of the sports club, and the socio-economic conditions of the population.
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