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Did We Find Them? 8 Candidate Alien Signals Found with a new AI Algorithm by SETI.

A deep-learning search for technosignatures of 820 nearby stars.
https://seti.berkeley.edu/ml_gbt/MLSETI_NatAstron_arxiv3.pdf.

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More JMG

Crabe-shape beings.


The joke—that everything will eventually look like a crab—comes from an actual truth. The crab shape has evolved so many times that scientists had to come up with a special term for it: carcinization.

While it’s probably not in the stars for humans to evolve into crabs, it is something that has happened multiple times in the crustacean family, where a creature may have started out looking like a lobster or a hermit crab and then eventually turning into the low, round, pinchy critters we all know and love. But before we dive into why this is, let’s first define the term “crab.”

When you think of the word crab, the first thing that pops into your head is probably something that looks like a blue, king, or Dungeness crab. Their look is unique and therefore memorable—a short, flat, roundish or square body shape, an abdomen hidden on the underside of the crab, and a hidden tail replacing a muscley exposed one that is common with lobsters.

Annotation and analysis of sports videos is a time-consuming task that, once automated, will provide benefits to coaches, players, and spectators. American football, as the most watched sport in the United States, could especially benefit from this automation. Manual annotation and analysis of recorded videos of American football games is an inefficient and tedious process. Currently, most college football programs focus on annotating offensive formations to help them develop game plans for their upcoming games. As a first step to further research for this unique application, we use computer vision and deep learning to analyze an overhead image of a football play immediately before the play begins. This analysis consists of locating individual football players and labeling their position or roles, as well as identifying the formation of the offensive team.

Apitherapy is an emerging field with the potential to impact the economic aspects of cancer research globally, particularly in under-resourced communities. To date, however, studies are yet to fully investigate the molecular mechanism of action of honeybee venom and melittin, and their consequent optimum usage in the oncology arena is yet to be comprehensively investigated, particularly for the treatment of breast cancer, the most commonly occurring cancer in women worldwide2. TNBCs and HER2-enriched tumors are highly aggressive breast cancer subtypes. TNBC is associated with the highest mortality and, despite frequent EGFR expression, commonly displays resistance to anti-EGFR therapies with high dependence on PI3K/Akt signaling for proliferation, survival, and chemotherapy resistance34.

Anti-HER2 therapies have substantially improved long-term survival in early-stage HER2-positive cancers, but the majority of late-stage patients eventually develop resistance and succumb to the disease33,35,36. Not only did we demonstrate selectivity of honeybee venom and melittin for malignant cells, but we also revealed higher potencies for these aggressive types of breast cancer.

Here, we show that honeybee venom and melittin suppress the ligand-induced phosphorylation of EGFR and HER2, dynamically modulating downstream signaling pathways in breast cancer cells. We propose that melittin directly or indirectly inhibits RTK dimerization. Melittin may also enter the cell to directly or indirectly modulate downstream signaling pathways25,60. Previous work has shown that melittin can be targeted to HER2-overexpressing cell lines using immunoliposomes bearing trastuzumab61. Here, we demonstrate that melittin alone selectively targets HER2-and EGFR-overexpressing breast cancer cells. Interestingly, melittin was more potently toxic to breast cancer cells compared to honeybee venom, warranting further investigation.