Hibernation is a natural state of suspended animation that many mammals experience and has been interpreted as an adaptive strategy for saving energy. However, the actual amount of savings that hibernation represents, and particularly its dependence on body mass (the “scaling†) has not been calculated properly. Here we estimated the scaling of daily energy expenditure of hibernation (DEEH), covering a range of five orders of magnitude in mass. We found that DEEH scales isometrically with mass, which means that a gram of hibernating bat has a similar metabolism to that of a gram of bear, 20,000 times larger. Given that the metabolic rate of active animals scales allometrically, the point where these scaling curves intersect with DEEH represents the mass where energy savings by hibernation are zero. For BMR, these zero savings are attained for a relatively small bear (~100 kg). Calculated on a per-cell basis, the cellular metabolic power of hibernation was estimated to be 1.3x10-12 ± 2.6x...
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This dataset has the database dumps of API usages of APIs such as Guice, Guava, Easymock, Spring and Hibernate.
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This spreadsheet provides a translation of data from the literature for the manuscript: Do bears hibernate in the woods? Comment on 'Why bears hibernate? Redefining the scaling energetics of hibernation', and includes both the background data for Figure 1 which is presented in the manuscript.
Full reference for article it is commented on: Nespolo, R. F., Mejias, C., and Bozinovic, F. Why bears hibernate? Redefining the scaling energetics of hibernation. Proc. R. Soc. B. 2022; 289(1973):20220456. We have made corrections to the data in the original article's Table S1, and translated empirical BMR data from literature instead of calculating a regression line from White, C.R. & Seymour, R.S. (2003). This changes the body mass where regression lines for Log (DDEHIB) and Log(BMR) cross, and thus where no savings from hibernation can be expected, from 75 kg to over 2,250 kg and shows that bears hibernate to save energy.
Many mammals hibernate during winter, reducing energy expenditure via bouts of torpor. The majority of a hibernator’s energy reserves are used to fuel brief, but costly, arousals from torpor. Although arousals likely serve multiple functions, an important one is to restore water stores depleted during torpor. Many hibernating bat species require high humidity, presumably to reduce torpid water loss, but big brown bats (Eptesicus fuscus) appear tolerant of a wide humidity range. We tested the hypothesis that hibernating female E. fuscus use behavioural flexibility during torpor and arousals to maintain water balance and reduce energy expenditure. We predicted: (1) E. fuscus hibernating in dry conditions would exhibit more compact huddles during torpor and drink more frequently than bats in high humidity conditions; and (2) frequency and duration of torpor bouts and arousals, and thus, total loss of body mass would not differ between bats in both environments. We housed hibernating E. fus..., , , # Hibernating female big brown bats (Eptesicus fuscus) adjust huddling and drinking behaviour, but not arousal frequency, in response to low humidity
The excel file has four different sheets that contains (listed in order):
Sheet1_Video Data - arousals: arousal begin and end time/date, bat ID, humidity treatment, drinking bouts, and associated starting body mass (prior to hibernation) and ending body mass (end of hibernation))
Sheet2_Video Data - torpor: torpor begin and end time/date, bat ID, humidity treatment, and associated starting body mass (prior to hibernation) and ending body mass (end of hibernation))
Sheet3_Arousal Definition Data: bat ID, humidity treatment, arousal begining and end data/time, and associated skin temperature threshold. Note: arousals for video data do not have an associated skin temperature threshold.
Sheet4_Huddle Size Index: photo date and time, humidity treatment, file name, and huddle ...
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This dataset includes hibernation phenology (immergence date, emergence date, and hibernation duration) for northern Idaho ground squirrels (Urocitellus brunneus), along with data used as predictor variables in linear mixed-effects models designed to explain intraspecific variation in the three hibernation behaviors. Code for that lme analysis is also included. Also included in this dataset are body mass data for northern Idaho ground squirrels, the code used to generate predicted squirrel body mass curves, NDVI data for northern Idaho ground squirrel study sites, and the code used to generate predicted NDVI curves for those sites. The data files include metadata sheets to better explain the data and its collection.
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Hibernating mammals have annual cycles with strict timing of all processes including reproduction; yet female reproductive physiology is poorly studied in these species. We investigated the estrous cycle in yellow ground squirrels (Spermophilus fulvus), which hibernate up to 9 months. On the basis of vaginal cytology and serum progesterone and estradiol profiles, we identified proestrus, estrus, metestrus, and anestrus in the cycle. Similarly to other rodents, predominance of cornified cells marked estrus, and an increase in the leukocyte number reflected metestrus. The only estrus in a year started and then pregnancy occurred mostly within 3 days after the spring emergence. In one female, we noticed a copulatory plug for the first time for this species. The progesterone level increased from proestrus/estrus to pregnancy and decreased in the postlactation period. Estradiol concentration did not change significantly throughout the estrous cycle but varied among females and was consistently high in some of them. The hormone levels did not vary with female age despite smaller body size in yearling females as compared with older ones. During postlactation, progesterone concentration diminished toward hibernation, and we failed to detect signs of prehibernation activation of the female reproductive system. Probably, gonadal preparation in S. fulvus females proceeds at periodic arousals during hibernation. Our data showed fast transitions between phases of the female estrous cycle and early maturation of juvenile females, thus supporting the hypothesis of fast life history strategy of S. fulvus.
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The Java Web Frameworks Software market plays a pivotal role in the development of dynamic and robust web applications in today's digital landscape. As businesses increasingly demand scalable, secure, and high-performance solutions, Java web frameworks, such as Spring, JSF, and Hibernate, have emerged as essential t
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OLA Information system (©SOERE OLA-IS, AnaEE-France, INRA Thonon-les-Bains, developed by Eco-Informatics ORE INRA Team) has been developed to meet data management needs of lake environmental research observatories in order to make data available for scientific communities. Software architecture of this IS is structured around (i) a shared central component dedicated to generic functions and (ii) modular components specific to lake thematics. The creation of the IS is done by inheriting the core component and using the appropriate modular components. SI is developed with the Java language (version 8). The components are Java projects that follow the structuring of a "multi-module" Maven project. The web interfaces are developed by using the framework JSF with Primefaces user interface component library. Spring and Hibernate frameworks complete the development tools. PostgreSQL is the relational database management system used. (2019-01-18). This information system makes it possible to store and make available physico-chemical data, biodiversity data (phytoplankton, zooplankton, fishes), data from multiparameter probes, chlorophyll, primary production, etc.
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Table 1. Xper3 technical architecture.
Data storage | Relational database Maria DB |
---|---|
Object/Relational Mapping | Hibernate framework |
Frontend interface | HTML, Ajax, jQuery and Spring framework |
Exchange formats | CSV, SDD (XML) |
Identification services | REST-type services |
Backend code | Java |
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Information systems have been developed to meet data management needs of environmental research observatories in order to make data available for scientific communities. Software architecture of these IS is structured around (i) a central component dedicated to generic functions shared by all IS and (ii) modular components specific to the environmental themes studied by the observatories. The creation of the IS is done by inheriting the core component and using the appropriate modular components. SI are developed with the Java language (version 8). The components are Java projects that follow the structuring of a "multi-module" Maven project. The web interfaces are developed by using the framework JSF with Primefaces user interface component library. Spring and Hibernate frameworks complete the development tools. PostgreSQL is the relational database management system used. Information system are developed by Eco-Informatics ORE INRA Team, AnaEE-France
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The purpose of this research was to investigate how COVID-19 motivated female entrepreneurs in regional Western Australia to innovate, hibernate or liquidate their business; explore outcomes of any changes they made to their business as a result of the pandemic; and explore how COVID-19 affected their motivations towards their business.
In a survey conducted in May 2020, regarding the impact of coronavirus (COVID-19) on consumer spending behavior in India, 38 percent of the respondents showed concern about the pandemic and preferred to hibernate and spend. About 35 percent of the respondents were hit quite hard by the pandemic and as a result decided to cut down their spending by a large extent.
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Hibernation is a natural state of suspended animation that many mammals experience and has been interpreted as an adaptive strategy for saving energy. However, the actual amount of savings that hibernation represents, and particularly its dependence on body mass (the “scaling†) has not been calculated properly. Here we estimated the scaling of daily energy expenditure of hibernation (DEEH), covering a range of five orders of magnitude in mass. We found that DEEH scales isometrically with mass, which means that a gram of hibernating bat has a similar metabolism to that of a gram of bear, 20,000 times larger. Given that the metabolic rate of active animals scales allometrically, the point where these scaling curves intersect with DEEH represents the mass where energy savings by hibernation are zero. For BMR, these zero savings are attained for a relatively small bear (~100 kg). Calculated on a per-cell basis, the cellular metabolic power of hibernation was estimated to be 1.3x10-12 ± 2.6x...