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Comment on: Toward an optimal contraception dosing strategy.
PLoS Comput Biol
December 2024
Department of Health Sciences, University of Leicester and University Hospitals of Leicester, Leicester, United Kingdom.
The optimal contraception dosing strategy proposed by Gavina et al. recently is a commendable attempt to model a complex physiological process with potenial to apply to real-life data. However, there is a need to take into account the real challenges that arise when moving from the theory to its practical application, and it is important that lessons learnt from clinical studies be taken into consideration in any theoretical modelling.
View Article and Find Full Text PDFAnisogamy and sex roles: a commentary.
Evol Lett
December 2024
Department of Life Sciences, Milner Centre for Evolution, University of Bath, Bath BA2 7AY, United Kingdom.
The origin and maintenance of sex differences in reproductive behavior (often labeled sex roles) have remained controversial topics, and recent meta-analyses and theoretical models have helped to elucidate the processes that generate diverse sex roles. We are glad to see that our study (Mokos et al., 2021) generated a healthy debate, and in agreement with recent commentaries (Janicke, 2024; Lehtonen & Parker, 2024) we call for a more comprehensive approach to understanding sex role evolution.
View Article and Find Full Text PDFComment on "Gravitational Pair Production and Black Hole Evaporation".
Phys Rev Lett
November 2024
Theoretical Particle Physics and Cosmology, King's College London, WC2R 2LS, United Kingdom.
Janus-like behavior of intrinsically disordered regions in reticulophagy.
Autophagy
January 2025
School of Medicine, Institute of Biochemistry II, Goethe University Frankfurt, Frankfurt am Main, Germany.
Intrinsically disordered regions (IDRs) are crucial to homeostatic and organellar remodeling pathways. In reticulophagy/ER-phagy, long cytosolic IDR-containing receptors (e.g.
View Article and Find Full Text PDFThe analysis of generative adversarial network in sports education based on deep learning.
Sci Rep
December 2024
Huazhong Agricultural University, Zhongnan University of Economics and Law, Wuhan, 430073, China.
Article Synopsis
- * It employs Generative Adversarial Networks (GANs) to create a model that generates evaluation texts for assessing students' mental health, including a generator and discriminator with a reward function.
- * Results show effective training of the GAN model, with adaptability quality scoring highest among indicators, reinforcing the relationship between sports involvement and mental health assessment comments.
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