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However, the dual-hormone hypothesis also has its own flaws, and current evidence appears to only partially support the hypothesis, according to a meta-analytical evaluation in 2019 by Dekkers et al. [36] A proposed reasoning for the occasional weak evidence is that cortisol and testosterone, further interact with social context and individual ...
The Organizational-Activational Hypothesis states that steroid hormones permanently organize the nervous system during early development, which is reflected in adult male or female typical behaviors. [1] In adulthood, the same steroid hormones activate, modulate, and inhibit these behaviors.
Thousands of scientific articles have since been published on endocrine disruption, demonstrating the availability of grant money for research on the hypothesis raised by Our Stolen Future. For example, a symposium at the 2007 American Association for the Advancement of Science (AAAS) meeting explored the contribution of endocrine disruption to ...
The hypothesis separately proposes that hormonal changes across the cycle cause women, when they are most likely to get pregnant, to be more attracted to traits in potential short-term male sexual partners that indicate high genetic quality, leading to greater reproductive success. [3]
Hrdy's hypothesis is an extension of the male assistance hypothesis, in that both hypotheses argue that women have evolved this adaptation to gain some tangible benefit from males. According to Hrdy's hypothesis, [ 6 ] [ 7 ] extended female sexuality is an adaptive process with an aim of creating paternity confusion in their male counterparts ...
The timing hypothesis, gap hypothesis, gap theory, or critical window hypothesis for menopausal hormone therapy is a scientific theory that the benefits and risks of menopausal hormone therapy vary depending on the amount of time a woman has been in menopause upon initiation of treatment.
The structured analysis of competing hypotheses offers analysts an improvement over the limitations of the original ACH. [9] The SACH maximizes the possible hypotheses by allowing the analyst to split one hypothesis into two complex ones. For example, two tested hypotheses could be that Iraq has WMD or Iraq does not have WMD.
An example of Neyman–Pearson hypothesis testing (or null hypothesis statistical significance testing) can be made by a change to the radioactive suitcase example. If the "suitcase" is actually a shielded container for the transportation of radioactive material, then a test might be used to select among three hypotheses: no radioactive source ...