Unfortunately, my own exams and tests were not so promising, and so we began the long, arduous process of infertility treatment, solely focused on me. My husband of course focused on eating right, exercising, and overall leading a healthy lifestyle to keep up his good reproductive health, but I was the one who was poked, prodded, and tested for the many months thereafter, until we were fortunate enough to finally conceive our son, Gabriel. At the end of the day, we are one of the lucky couples who beat primary infertility and without resorting to artificial means like IVF, although at least one doctor suggested that course of action to us. Addressing the source of our infertility was fairly straightforward, especially because we were fortunate enough to work with some excellent doctors trained in Natural Procreative Technology. As a result of my experience, I always assumed that like infertility treatment for women, there must be natural, respectful, and effective options for men to heal male infertility. The sad reality is that despite the alarming statistics of a veritable crisis in male infertility—and despite the fact that men experience the emotional trauma of infertility every bit as much as women do, albeit in different ways—modern medicine is behind when it comes to addressing male factor infertility.
Avatar sex comics (44 found)
Sperm: 10 Interesting Facts Everyone Should Know
We have already seen that, even in humans, there is more to this substance than meets the eye. It contains proteins that, when mixed together, can forge a mating plug. But this list of ingredients is just the tip of the iceberg. Even in the ejaculate of the lowly banana fly Drosophila melanogaster , researchers have identified no fewer than different kinds of proteins.
List of datasets for machine-learning research
These datasets are used for machine-learning research and have been cited in peer-reviewed academic journals. Datasets are an integral part of the field of machine learning. Major advances in this field can result from advances in learning algorithms such as deep learning , computer hardware, and, less-intuitively, the availability of high-quality training datasets.
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