For a short moment, let's just pretend that both the jaeger and a human are cylinders. Yes, I know that's not true - but it isn't crazy either. Here isa cylinder human of height h. If I know the height and radius of this cylinder, I can find the volume. Now, what if I increase the height by some factor, say s? If the larger cylinder "looks" the same as the smaller one, the radius would also have to increase by the same factor s.
This would make the volume:. If you double the height of the person, you increase the volume by a factor of 8. The common sense answer which is wrong is that if you double the size, you double the volume. Actually no one really cares about the volume. However, if you know the volume and the density you can find the mass.
I can get the mass of the jaeger in terms of mass of the human assuming it is 40 times taller. Now all I need to do is to estimate the mass of a human let's say 75 kg and the ratio of densities. I have no idea what a jaeger is made of, but I suspect the density is higher than a human. If the jaeger density is twice that of a human, then the jaeger mass would be about 9.
That wasn't so bad. You know I love helicopters, right? According to Wikipedia , the CHD variant can carry a payload of 26, pounds 11, kg. Let's say that you strip out any unnecessary stuff and maybe you increase the payload capacity to 15, kg. That would mean that 8 of these helicopters could carry 1. Well, that is less than the 9. Then how many? Well, if I need to carry 9. You would actually need more than 64 helicopters. Let me just draw a sketch showing many helicopters carrying a jaeger.
If you consider the tension in the cable from the far helicopters, they won't pull vertically. Because of this, the Jaeger program is kept active, and new initiatives are created. One example is the Hopefuls -- which is a group that the young protagonist Amara will wind up joining through the course of the movie.
Before that happens in the movie, however, it should be recognized that the character manages to accomplish something rather amazing. Amara is a year-old orphan who has been forced to learn to survive by being on her own, and develops a knack for engineering as a result.
She builds her very own diminutive Jaeger that she names Scrapper, and what's most amazing about it is that she can actually operate it all by herself. Clearly this makes her an excellent fit for the Hopefuls program, but speaking to Cailee Spaeny on set, she explained that Amara's incredible technological breakthrough is actually kind of lost on her.
Said the actress,. She's figured out how to pilot it herself, which I don't think she fully understands how groundbreaking it is, but she's figured that out herself. Pacific Rim Uprising will introduce the world to its new class of young Jaeger pilots when it arrives in theaters on March 23, -- and between now and then, be sure to stay tuned for more coverage from our visit to the set! NJ native who calls LA home; lives in a Dreamatorium.
Eric Eisenberg. Ricardo Poli, a computer science professor at the University of Essex, in the U. Similarly intriguing results on cooperative brain-computer interfaces came from a paper published in the journal PLoS One. Two researchers from the University of California in San Diego found that the accuracy of EEG predicting an arm-reaching motion improved dramatically by fusing the EEG signals from groups of five, 10, 15, and 20 people.
Such results are still a far cry from Hollywood fantasies of two pilots controlling a giant robot with the same natural ease of moving their own bodies. And perhaps brain-computer interfaces will improve to the point where they can effectively detect the brain signals from a single person. But for now, the idea of two heads being better than one for mind-control technology has a kernel of truth. Jeremy Hsu has been working as a science and technology journalist in New York City since Foundries such as the Edinburgh Genome Foundry assemble fragments of synthetic DNA and send them to labs for testing in cells.
In the next decade, medical science may finally advance cures for some of the most complex diseases that plague humanity. Many diseases are caused by mutations in the human genome, which can either be inherited from our parents such as in cystic fibrosis , or acquired during life, such as most types of cancer. For some of these conditions, medical researchers have identified the exact mutations that lead to disease; but in many more, they're still seeking answers. And without understanding the cause of a problem, it's pretty tough to find a cure.
We believe that a key enabling technology in this quest is a computer-aided design CAD program for genome editing, which our organization is launching this week at the Genome Project-write GP-write conference. With this CAD program, medical researchers will be able to quickly design hundreds of different genomes with any combination of mutations and send the genetic code to a company that manufactures strings of DNA.
Those fragments of synthesized DNA can then be sent to a foundry for assembly, and finally to a lab where the designed genomes can be tested in cells. Based on how the cells grow, researchers can use the CAD program to iterate with a new batch of redesigned genomes, sharing data for collaborative efforts. Enabling fast redesign of thousands of variants can only be achieved through automation; at that scale, researchers just might identify the combinations of mutations that are causing genetic diseases.
Applications for the CAD software extend far beyond medicine and throughout the burgeoning field of synthetic biology , which involves redesigning organisms to give them new abilities. For example, we envision users designing solutions for biomanufacturing; it's possible that society could reduce its reliance on petroleum thanks to microorganisms that produce valuable chemicals and materials.
And to aid the fight against climate change, users could design microorganisms that ingest and lock up carbon, thus reducing atmospheric carbon dioxide the main driver of global warming. DNA, the molecule that encodes instructions for life, is composed of four types of nitrogen bases, which pair up to create what look like the rungs of a twisted ladder.
James Provost. Our consortium, GP-write , can be understood as a sequel to the Human Genome Project , in which scientists first learned how to "read" the entire genetic sequence of human beings. GP-write aims to take the next step in genetic literacy by enabling the routine "writing" of entire genomes, each with tens of thousands of different variations. As genome writing and editing becomes more accessible, biosafety is a top priority.
We're building safeguards into our system from the start to ensure that the platform isn't used to craft dangerous or pathogenic sequences. Need a quick refresher on genetic engineering? It starts with DNA , the double-stranded molecule that encodes the instructions for all life on our planet. DNA is composed of four types of nitrogen bases—adenine A , thymine T , guanine G , and cytosine C —and the sequence of those bases determines the biological instructions in the DNA.
Those bases pair up to create what look like the rungs of a long and twisted ladder. The human genome meaning the entire DNA sequence in each human cell is composed of approximately 3 billion base-pairs. Within the genome are sections of DNA called genes, many of which code for the production of proteins; there are more than 20, genes in the human genome.
The ease of genome sequencing has transformed both basic biological research and nearly all areas of medicine. For example, doctors have been able to precisely identify genomic variants that are correlated with certain types of cancer, helping them to establish screening regimens for early detection. However, the process of identifying and understanding variants that cause disease and developing targeted therapeutics is still in its infancy and remains a defining challenge. Until now, genetic editing has been a matter of changing one or two genes within a massive genome; sophisticated techniques like CRISPR can create targeted edits, but at a small scale.
And although many software packages exist to help with gene editing and synthesis, the scope of those software algorithms is limited to single or few gene edits. Our CAD program will be the first to enable editing and design at genome-scale, allowing users to change thousands of genes, and it will operate with a degree of abstraction and automation that allows designers to think about the big picture. As users create new genome variants and study the results in cells, each variant's traits and characteristics called its phenotype can be noted and added to the platform's libraries.
Such a shared database could vastly speed up research on complex diseases. What's more, current genomic design software requires human experts to predict the effect of edits. In a future version, GP-write's software will include predictions of phenotype to help scientists understand if their edits will have the desired effect. All the experimental data generated by users can feed into a machine-learning program, improving its predictions in a virtuous cycle.
As more researchers leverage the CAD platform and share data the open-source platform will be freely available to academia , its predictive power will be enhanced and refined. Our first version of the CAD software will feature a user-friendly graphical interface enabling researchers to upload a species' genome, make thousands of edits throughout the genome, and output a file that can go directly to a DNA synthesis company for manufacture.
The platform will also enable design sharing, an important feature in the collaborative efforts required for large-scale genome-writing initiatives. There are clear parallels between CAD programs for electronic and genome design. To make a gadget with four transistors, you wouldn't need the help of a computer.
But today's systems may have billions of transistors and other components, and designing them would be impossible without design-automation software.
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