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Monthly Archives: May 2022
Designer Babies: The Ethics of Human Genetic Engineering
Posted: May 27, 2022 at 2:22 am
By Maria Alejandra Ruiz, an EconomicsFinance and LSM Global Perspectives double major.
As we slide deeper into the twenty-first century, the idea of a perfect designer baby has gone from Hollywood-style science fiction to an impending reality.
The eradication of fatal and nonfatal diseases and the possible enhancement of basic and infinitely complex human traits are at the center of an ongoing bioethical debate. Given the numerous enhancements and possibilities in human genetic engineering, is it ethical to genetically modify and/ or enhance human babies?
The Bentley University Honors Program requires its senior members to develop an individual capstone research project as a culminating experience before graduation. During each fall and spring semester, senior students and their advisers are hard at work researching, either independently or through a small-themed seminar course. As a senior, in the fall of 2015 I chose to enroll in the seminar course due to the invaluable structure and deadlines set by Professor Johannes Eijmberts, as well as the interesting topics that would be covered.
The general theme of the course was business, science, and technology. Professor Eijmberts encouraged students to select a current, relevant issue or topic that did not necessarily fall within their major or area of study. As an Economics-Finance major, I had considered developing my research paper based on financial modeling or monetary economics. The course, however, encouraged me to go beyond finance or economics and to consider research topics such as NASA exploration, fracking, climate change, immunotherapy and human genetic engineering.
I chose to embark on a research paper regarding human genetic engineering and the ethical implications of creating so-called designer babies. The recent developments in biotechnology and genetic engineering and the ongoing bioethical debate on human gene editing led me to the fundamental question that was central to my honors capstone project: Given the numerous advancements and possibilities in human genetic engineering, is it ethical to genetically modify and/or enhance human babies?
Human genetic engineering consists of introducing foreign DNA into a human in order to specifically alter its genetic structure. That can range from preventing or curing a disease, to enhancing basic human traits such as eye color, sex, intelligence, and even voice pitch. Those who oppose any tampering with the human genome fear that human genetic engineering is going a step too far, and that it might lead us to medical catastrophes and an unequal world in which designer babies are perceived as superior to genetically weak individuals. On the other hand, simply tweaking the genetic structure of unborn babies can also lead to healthier, longer, and more productive human lives.
Human genetic engineering is becoming increasingly feasible and possible due to recent developments in the biotechnology field. A new gene-editing technology known as CRISPR/Cas9 can precisely snip out a diseased mutation and replace it with healthy DNA. The United Kingdom recently approved mitochondrial replacement, a technique that transfers the nucleus, where the genetic instructions for making a person are stored, from the egg of a woman with mutant mitochondria to a donor egg containing healthy mitochondria. About one in 5,000 babies worldwide are born with mitochondrial DNA mutations that cause disease in vital organs such as the muscles, the heart and the brain. Scientists believe that we are merely decades, if not years, away from successfully genetically modifying babies, curing and preventing not just mitochondrial diseases, but a wide range of genetic diseases.
The main goal of my honors capstone project was to answer the question of whether most Americans support human genetic modification to eradicate, cure and/orprevent disease. Driven by the assumption that public and scientific opinion constitutes an important factor in the regulation and control of clinical research in the United States, I attempted to predict the future of human genetic engineering policy by analyzing the public outlook. I gathered sample data by distributing a survey to Bentley University undergraduates in November 2015.
Qualitative, quantitative and correlational analysis of the survey and from external data sources led to the following conclusion: Most Americans do support human genetic modification for the purposes of eradicating, curing and/or preventing hereditary diseases but firmly reject human genetic enhancement for designer babiessignaling a clear distinction between the two for future policy. Historically, scientific and public outlook have had a strong influence on the regulation of medical techniques and research in the United States. Hence, the government is most likely to allow strictly regulated human genetic engineering research and to approve the clinical use of mitochondrial replacement techniques in the near future.
The semester-long capstone project led me to develop an educated opinion on the timely and controversial topic of human genetic engineering. I found the Honors Programs culminating project to be a uniquely fulfilling experience that demanded my full commitment and dedication while promoting excellence and academic growth.
A version of this article first appeared in the Fall 2015 issue of Columnas, the Bentley University honors program newsletter.
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Interesting facts about Mars that will blow your mind – Interesting Engineering
Posted: at 2:21 am
The fourth planet from the Sun, Mars, is one of our solar system's most enigmatic celestial bodies. We've known about its existence for thousands of years, but it took until the "Space Age" for humans to figure out just how strange the "Red Planet" is.
It is a dusty, cold, desert world, and it also has its own seasons, polar ice caps, enormous canyons, and gigantic volcanoes.Mars is one of the most studied bodies in our solar system, and it's the only planet where we've sent rovers to roam the alien landscape.
But, even after all this attention, Mars still leaves us with more questions than we've managed to answer.
Mars is a very alien world compared to what we are used to here on Earth. The reasons for this are varied, but needless to say, it is not exactly the most inviting place for potential future human Martian colonists.
Roughly the same age as planet Earth, it has had a very different history over its 4.5 billion or so years of existence. We can't definitively say for sure who the first person to "discover" Mars was, as it is one of the few celestial bodies that can be seen in the night sky with the naked eye.
Mars is very bright and has a reddish color, so it stands out and is easily noticed - especially if you live somewhere with little light pollution.The planet Mars has been known since ancient times and was observed for thousands of years by the people of many different cultures.
Let's find out what we know, or we think we know, aboutour planet's little red sibling.
Believe it or not, Mars and Earth have similar amounts of landmass. This, despite the former being only about 15 percent as large as Earth in terms of volume and roughly only 10 percent of Earth's mass.
According to NASA, Earth has a volume of roughly108.321 1010km3, and Mars 16.318 1010km3. Mar's equatorial radius is 3,396.2 km (or approximately half that of Earth) and masses (very roughly) 0.64169 1024 kg. On the other hand, Earth is about ten times more massive, with a mass of5.97221024 kg.
So, you might ask, how do they have the same amount of land if Mars is so much smaller? Put simply, the vast majority of Earth's surface is covered with water.
Simple when you think about it.
Another amazing fact about Mars is that it has the tallest mountain yet discovered on another planet. Called Olympus Mons ("Mount Olympus" in Latin), this enormous mountain is roughly 16 miles (25 km) tall and 373 miles (600 km) in diameter.
That is astonishingly huge and dwarves any comparable mountain here on Earth. Our tallest (above sea level), Mount Everest, is a paltry29,032 feet (8,849 meters) by comparison.
Since Mars has no oceans like Earth, however, it might be fairer to compare it to another enormous mountain, such asMauna Kea in Hawaii, with a height of 32,696 feet (9,966 meters, or 6.2 miles) from the seafloor (but just 13,728 feet of that is above sea level). But Olympus Mons still dwarf Mauna Kea.
Olympus Mons is a presumed long-dead (extinct) shield volcano, which is thought to have been active over a billion years ago. That is so long ago that it predates most, if not all, complex life forms on Earth.
It is important to note that some Mars experts believe it may actually be partially active today, with some evidence of more recent lava flows. However, this is hotly debated.
If you ever wondered why our red neighbor is called Mars, it is because this was the name for the Roman god of war. This is thought to be, quite reasonably, related to Mars' striking blood-red color when seen from Earth.
In fact, the ancient Greeks named the planet "Ares" after their own god of war for the very same reason.
Even more interestingly, this practice is not unique to ancient Europe.Other ancient cultures were also inspired by Mars' color, such asChinas astronomers calling it "The Fire Star". The ancient Egyptians associated the planet with the god Horus and called it "Her Desher" (or "The Red One"). There is currently an ancient river valley on Mars named Her Desher Vallis.
The planet's color is due to the large amounts of iron-rich dust and rock that blankets the planet. This is derived from the large amounts of iron oxide minerals on the planet's surface, from minerals like hematite (Blood Stone), a common iron ore here on Earth.
However, much of the iron sank into the core when the planet was still molten on Earth, while Mars' smaller size and weaker gravity may have allowed more iron to remain near the surface. Scientists are still unsure exactly how the iron oxidized (which turns it red and requires the presence of some form of oxygen).
Saturn and Uranus are two of the more unique planets in our Solar System because of their characteristic orbiting rings. But, it turns out, Mars, not to be outdone, could get its own ring in a few tens of millions of years.
According to astronomers, Mars' largest and most enigmatic moon, Phobos, will eventually be torn apart by gravitational forces. This will lead to the formation of a debris field that will, eventually, settle down into a stable orbit and form a rocky ring around Mars.
Phobos' orbit puts it a mere 3,700 miles (6,000 kilometers) above the surface of Mars, and it is closer to its planet than any other moon in the solar system. Mars gravity is slowly but surely, drawing in Phobosby about 6.6 feet (2 meters) every hundred years. According to NASA,the moon will be pulled apart in 30 to 50 million years.
The ring won't last forever, however. It has been estimated that it should last roughly 100 million years or so before disintegrating and falling to Mar's surface.
You can see the early telltale signs of this moon's impending doom today in a series of large cracks on its surface.
Mars is also home to an enormous canyon called Valles Marineris ("Mariner Valley" in Latin), apart from having the Solar System's tallest mountain. The canyon, or rather canyon system, runs along the planet's equator and is an awe-inspiring feature to behold.
It runs for around 2,610 miles (4,200 km) and is, in places, roughly 4.4 miles (7 km) deep. That is so big that it would almost span the entire continental United States from the Atlantic Ocean to the Pacific Ocean.
To put that into perspective,the Grand Canyon in Arizona is about 446 km (277 mi) long and 1.8 km (1.1 mi) deep.
Valles Marineris is actually an enormous plate boundary that moves so slowly that little happens over millions of years. Mars has a very primitive form of plate tectonics, and the action of the two plates sliding past each other began splitting the surface some 3.5 billion years ago.
Another interesting fact about Mars is its uncanny ability to defeat the best engineering humans have to offer. Since around 1960, more than 50 missions have been launched by various nations to the Red Planet, but only about half have successfully landed.
The first mission designed to reach Mars was the Soviet Union's 1M, dubbedMarsnik 1by the western press, which suffered a launch failure in 1960.
The first successful flyby of Mars was NASA's Mariner 4, which flew by the planet on July 14-15, 1965, sending back photos. Since then, around 55 probes have been sent to Mars or attempted to be sent. Of these, many of the early attempts by the Soviet Union suffered from launch failures, while several other attempts had some kind of technical failure en route, in orbit, or on the surface of the planet. This may have been partly down to the nature of the missions and the push to get there with equipment that wasn't ready.
The more recent attempts have been more successful. NASAhad a series of successes with thePhoenix Lander in 2008, theMAVEN orbiter, launched in 2013, the plucky and long-livedOpportunity roverfrom 2014 to 2018, and theCuriosity rover (launched in 2011). A number of missions had also arrived on Mars more recently NASA'sPerseverance roverandIngenuity helicopter, the United Arab Emirates'Hope orbiter(a first interplanetary mission for that country), and the China National Space Administration'sTianwen-1orbiter and lander-rover mission, which was China's first successful mission to the Red Planet.
It seems that any "curse" hanging over the planet was more likely an artifact of the immensely difficult task of getting to another world. Nevertheless,Elon Musk and SpaceXmay find some competition in the plans to get a colony up and running by 2050.
Believe it or not, scientists believe they have found proof that little bits of Mars have actually landed on Earth in the past. Called "Martian Meteorites", these are little pieces of rock that have miraculously managed to make it to Earth.
This might sound impossible, but bits of planets are blasted off their surfaces over time as things like large asteroids hit them. These impacts release a massive amount of ejecta that actually throw stuff off into space if the impact is significant enough.
This ejecta can have enough energy to escape the planet's gravity well and travel around the Solar System before being influenced by another planet's center of gravity.
What's more, these kinds of events appear to be quite common. As of 2020, something like 277 meteorites found on Earth is thought to have been derived from Mars. That might sound like a lot, but that is a fraction of 1 percent of all confirmed meteorites found on Earth.
Of the ones thought to be Martian in origin, the largest complete and uncut example is Taoudenni 002. Discovered inMali in early 2021, it weighs 32 pounds (14.5 kg) and is currently on display at the Maine Mineral & Gem Museum.
Scientists use the study of rocks like this to determine the composition of Mars' surface and perhaps even its old atmosphere.
If Mars' barren landscape isn't enough reason not to visit it anytime soon, another hazard on the planet is its power.
The cause for these enormous storms is due to Mars' elliptical orbit around the Sun. This can lead to variations in temperaturebetween the hemispheres that dramatically increase atmospheric circulation the air currents pick up dust and circulate it around the planet.
These fierce dust storms can cover the whole planet and last up to six months.
One of the latest ones caught on camera occurred in February of 2022. It was so huge that it covered twice the size of the United States and effectively blanketed the entire Southern Hemisphere of Mars. The storm also causedNASAs Insight landerput itself in a "safe mode" to conserve battery power after dust prevented sunlight from reaching the solar panels.NASA's Ingenuity Mars Helicopteralso had to postpone flights until conditions improved.
One of the essential prerequisites for life is thought to be the presence ofwater on a planet. While it is best for life as we know it for the water to be in liquid form, the fact that water exists at all is a good sign that life may be present on a planet(or has been present in the past).
In the case of Mars, we know for a fact that the planet has large quantities of ice at its poles. As far as we know, there is little to no possibility that liquid water exists on the planet, as its very thin atmosphere prevents this from physically occurring.
Any water that is present outside of the polar regions of Mars is probably also frozen. Still, NASA probes like the Curiosity Rover are searching the planet for potential locations on the planet that might be suitable for life to exist.
If there is no life on Mars, the large quantities of frozen water will be an excellent resource for any future human colonies and expeditions to the planet in any case.
But, could this frozen ice have been liquid in the past? Scientific opinion is divided and discussions have been raging about this for over a century on this very topic.From early misinterpretations of structures that resemble intelligently-made water canals, several spacecraft have spotted signs of what appear to be ancient river channels, fluvial plains, and other hydrological features that may be evidence of liquid water in the past.
Another interesting fact about Mars is the presence of gaseous methane in its atmosphere. Like water, the presence of methane has also been used as an indicator of the potential presence that there was once, or still is, life on a planet.
First detected in the atmosphere by the Mariner 9 probe in 1971, further telescopic observations have since recorded wildly different methane levels over the years. To date, few spacecraft have also been designed to probe for the element in detail.
That being said, the Curiosity Rover has detectedspikes in methane in its area, and the source is still very much a mystery.
On Earth, methane tends to be produced primarily as a byproduct of microbial activity and human agriculture.
However, methane can also be produced by geological processes like volcanism. Given the large quantities of volcanoes on the surface of Mars (including the enormous Olympus Mons), this is thought to be a more likely source for the gas.
If we discover that methane is not biologically generated, it is still good news for humans, as methane will be a useful resource for future Mars colonies. In fact, the likes of SpaceX, plan to use it and Mar's abundant water supply to help make resources like fuel.
One of the most memorable scenes from the film "Total Recall" is when Arnold Schwarzenegger's character briefly suffers from a severe case of "popping eyes" while exposed to a partial vacuum on the Martian surface. While this scenario is obviously heavily dramatized, the reality is even worse.
The main reason for this is the fact that Mars' atmosphere is pretty thin. So thin, in fact, that if you were ever to find yourself standing on the planet without a spacesuit, your trip would be a concise one.
But, having your insides forcing their way out of your body is only part of the problem. One of the following significant issues is the planet's icy surface. For reference, the planet has an average temperature of-50 degrees Fahrenheit (-45 degrees Celsius)in the mid-latitudes.
This would be a severe problem in and of itself, but things get worse. Mars' atmosphere is famously very thin, with an air pressure of roughly 1 percent of that on Earth.
This would mean it would be next to impossible to breathe. Presume you're not already dead"Total Recall" style.
But, even if you could breathe, you'd likely quickly be asphyxiated, as the composition of Mar's practically non-existent atmosphere would be toxic to you.Mars' atmosphere, for the most part, comprises about 95 percent carbon dioxide, 3 percent nitrogen, 1.6 percent argon, and other trace elements like the aforementioned methane.
The planet Mars has fascinated our species for thousands of years and might just be the first extraterrestrial planet that humans may colonize in the future. But, as you can see, there are quite a few differences from our home planet that will need to be overcome before we could ever call Mars a second home.
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How to make buildings in space? Dust from the Moon and Mars can help – WION
Posted: at 2:21 am
The plans to build a civilisation or at least a colony on the Mars or Moon has been a long-time idea for both scientists and entrepreneurs. While the idea has always existed, the logistics have been the main problem, but it seems that we may have a major solution. A new set of experiences have revealed that a combination of dust from moon or Mars and saltwater can be create the perfect material to create buildings in space. In order to produce the desired product, the mixture needs to be heated at a high temperature so that they create a solid structure mimicking a brick.
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The observation was made by Ranajay Ghosh and his team at the University of Central Florida. They conducted an experiment to see if regolith dust from moon rocks can be used to create a sturdy structure. However, the problem will be finding the heat source in order to bake them properly.
This is the not the first paper to suggest this phenomenon as research published in Materials Today Bio said that blood can actually be used as a binding agent to create structures with space dust.
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"Scientists have been trying to develop viable technologies to produce concrete-like materials on the surface of Mars, but we never stopped to think that the answer might be inside us all along," said materials engineer Aled Roberts of the University of Manchester in the UK according to NewScience.
In the future, if there is a possibility of creating structures in the space, it will be near impossible to carry the bricks and these new findings can hold the key to building the new civilisation in space.
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Elon Musk’s Hyperloop is possible. How badly do we want it? – Big Think
Posted: at 2:21 am
The speed of nearly every vehicle in our atmosphere is limited first and foremost by the resistance of the air into which it plows. Reduce the air pressure and boom it can now travel at a greater speed. Put a bullet train in a vacuum tube and it can travel at nearly the speed of sound.
The idea isnt new; indeed, something similar was proposed centuries ago. Physicists will tell you that the idea works, but pesky engineers will point out the many tough problems that exist in actually building it. But thankfully, we can solve hard engineering problems. (Example: The Seattle area is putting the finishing touches on the worlds first light rail on a floating bridge.) Lets look at the major challenges facing Elon Musks Hyperloop.
Human beings have limited tolerance for acceleration, so-called g-forces. Acceleration isnt just pushing the gas pedal; it also involves staying at the same speed but turning. Can this be achieved without making people vomit or pass out?
Absolutely. Commercial jets travel at more than 500 mph. They climb and descend. They turn and are jostled by air turbulence. They decelerate from flying speed to taxiing in a matter of seconds. Yet, most of the time, people arent nauseated or terrified. And the entire system is incredibly efficient planes are constantly landing and taking off, one after another. The Hyperloop could be modeled after this.
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But theres one big difference: Airplanes are in the sky, while the Hyperloop would be on the ground. Clearing a smooth, straight, easy path for the tube would require a significant amount of work. But weve done this before: the Eisenhower interstate system. If a mountain gets in the way, we tunnel through. If a rock wall cuts across, we blast it. If a bay exists, we bridge or tunnel under it. If the terrain is rough, we smooth it. This engineering challenge is doable.
The Hyperloop essentially is a long, vacuum-sealed tube. There is very little air inside to cause resistance, which is why the train can travel so fast (perhaps 760 mph). Maintaining this vacuum, about one-thousandth the pressure of Earths atmosphere, through millions of cubic feet of volume will be a big challenge.
Whenever passengers enter or exit the system, the Hyperloop has to be temporarily unsealed. Thus, stations would require interlocks. Once passengers are on board, the train moves into the interlock, and the surrounding air is pumped out. When a vacuum is achieved in the interlock, it opens on the other side to allow the train to join the main track.
For structural integrity, the giant tube likely would be steel rather than the beautiful clear fantasy material seen in promotional materials. If the steel is welded together, it will be extremely resistant to air leaks, but it will thermally expand and contract as one giant mass, which would require a lot of engineering to allow the structure to move freely. If the system instead is made of a great number of small steel tubes connected by joints, those joints must be able to maintain the integrity of the vacuum. And the engineering must be perfect: If one joint fails, the result is catastrophic.
There are at least two ways in which a trip on the Hyperloop could end in catastrophe. In one scenario, the train stops moving, for whatever reason. Passengers would be marooned, possibly in the middle of nowhere, with a dwindling air supply. Perhaps the Hyperloop could include a mechanism to break the vacuum in certain sections, allowing passengers to disembark and escape. But, this isnt easy because of the second possible disaster scenario.
If a seal breaks, the opening instantly sucks in air at an incredible rate, filling the vacuum inside. (Remember, nature hates a vacuum.) This would create an air shock blast wave traveling down the tube at roughly the speed of sound. If the tube bursts behind a train, the passengers will be subjected to a giant, likely lethal, acceleration, and then propelled forward at 700 mph with no brakes. If the tube fails in front of the train, passengers will be blasted with an air shock that would instantly annihilate the train and everyone inside. Worse, any accident doesnt just affect one train. A shock wave would obliterate anyone unlucky enough to be anywhere inside the Hyperloop.
Engineering might be able to solve the problem, but the question involves cost and practicality. Could the tube contain many special sections that are capable of rapidly deploying a giant valve to maintain the vacuum? Could these special sections hold against the oncoming shock wave? Or would these special sections act as sacrifices to ward off an even greater catastrophe?
Finally, consider that a vehicle crashing into the tube could be enough to blow it open. Even a single 50-caliber bullet could potentially destroy an entire Hyperloop and kill everyone aboard. The Hyperloop, therefore, will require a lot of monitoring and security both inside and outside the tube.
There are several things in favor of the Hyperloop. It will be a much faster way to travel, will greatly reduce the emissions associated with transportation, and undeniably has an intangible coolness factor. But the cons are considerable, with safety and cost being the most pressing.
Engineering the Hyperloop is possible. But, like building a colony on Mars, the biggest question might be one of willpower: How badly do we want it?
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Ford Rolls Out Last ‘Model T’ This Date in 1927 – iHeart
Posted: at 2:21 am
Today in 1637,the first battle of Pequot at Mystic, Connecticut took place with Colonial forceskilling 500 Indian men, women and children.
Today in 1647, Alse Youngbecame the first recorded person to be executedfor being a witch in the colonies.
Today in 1647,a new lawbanned Catholic priests from the colony of Massachusetts. The penalty was banishment or death for a second offense. The English Puritans, who settled the colony, feared the Jesuits for a number of reasons. First, simply because they were Catholic. To Puritans, Catholicism was nothing less than idolatrous blasphemy, and Catholics were destined for eternal damnation. Secondly, because the Jesuits were French, and France and England were engaged in a bitter struggle for control of North America.
Today in 1836,the U.S. House of Representativesadopted what has been called the Gag Rule.
Today in 1896,the Dow Jones Industrial Averageappeared for the first time in the "Wall Street Journal."
Today in 1908,the first oil strike was made in the Middle East in Persia (what is now known as Iran).
Today in 1927,Henry Ford and the Ford Motor Companyproduced the last Model T Ford (aka Tin Lizzie).
Today in 1938,the House Committee on Un-American Activitiesbegan its work of searching for subversives in the United States.
Today in 1940,theevacuation of Allied troops from Dunkirk, France, beganduring World War II.
Today in 1948,Congresspassed Public Law 557, which permanently established the Civil Air Patrol as the Auxiliary of the new U.S. Air Force.
Today in 1956,aseries of explosions on board the aircraft carrier USS Benningtonkilled 103 crewmembers off Narragansett Bay, in Rhode Island.
Today in 1961,the civil rights activist groupFreedom Ride Coordinating Committeewas established in Atlanta, Georgia.
Today in 1961,a U.S. Air Force bomber flewacross the Atlantic from New York to Paris in a record time of just over three hours.
Today in 1969,the Apollo 10 astronautsreturned to Earth after a successful rehearsalfor the first manned moon landing.
Today in 1994,President Clintonrenewed trade privileges for China, and announced that his administration would no longer link China's trade status with its human rights record.
Today in 1998,SCOTUSruled that police officers in high-speed chases are liable for bystander injuries onlyif their "actions shock the conscience." The case - County of Sacramento v. Lewis - concerned a high-speed chase between Sacramento County sheriffs deputies and two men on a motorcycle. The chase reached speeds up to 100-miles per hour and ended when the driver lost control and the bike spilled. The passenger was killed when one of the deputies couldnt stop in time and hit him.
Today in 1998,the United States Supreme Courtruled that Ellis Island, the historic gateway for millions of immigrants, is mainly in the state of New Jersey, not New York.
Today in 2002,theMars Odyssey found signsof large ice deposits on the planet Mars.
Today in 2004,the New York Timespublished an admission of journalistic failings, claiming that its flawed reporting and lack of skepticism towards sources during the buildup to the 2003 war in Iraq helped promote the belief that Iraq possessed large stockpiles of weapons of mass destruction.
Today in 2004,United States Army veteran Terry Nicholswas found guilty of 161 state murder charges for helping carry out the Oklahoma City bombing. The jury spent just five hours deliberating before announcing the verdict. He remains incarcerated at ADX Florence, a SuperMax security prison near Florence, Colorado. He shares a cellblock that is commonly referred to as "Bombers Row" with Ramzi Yousef (one of the main perpetrators of the 1993 World Trade Center bombing) and Ted Kaczynski (the Unabomber).
Today in 2012,Pope Benedict XVI's butlerPaolo Gabriele was charged with allegedly leaking confidential Church documents. He wastried and convicted later that year sentenced to 18 months, to be served inside the Vatican (as opposed to an Italian Prison). Why the arrangement? Concerns about him leaking more information. Still, it didnt last long - Gabriele was pardoned by Benedict XVI that December.
Today in 2014,the World Health Organization (WHO)confirmed that Ebola had reached Sierra Leone. By the following month, the disease was considered out of control and by July had been declared an international emergency.
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China’s New Space Telescope To Identify New Earth-Like Planets That Can Be Colonized; Here’s How CHES Works – Tech Times
Posted: at 2:21 am
China's new space telescope will identify more Earth-like planets that can be colonized. The idea of exoplanet colonization is not really new.
Various space agencies, such as NASA and SpaceX, are trying to find ways how to transform another planet into an Earth-like one. For the past few years, Mars has been the top candidate when it comes to the planet that can support life.
Now, China wants to look for other planets outside the solar system that can also nourish living things. The Asian country plans to do this using its so-called CHES (Closeby Habitable Exoplanet Survey) telescope.
According to Live Science's latest report, CHES is a 3.9-foot-aperture space telescope. China plans to send it around 930,000 miles away from the Earth.
Also Read:Space Perspective's Passenger Balloon Development Receives Million-Dollar Funding; What is Spaceship Neptune
The space region it will specifically focus on is the Lagrange between the sun and Earth. This means that it will fly in the L2 Lagrange point that is also home to NASA's latest James Webb Space Telescope.
"The discovery of the nearby habitable worlds will be a great breakthrough for humankind, and will also help humans visit those Earth twins and expand our living space in the future," said Ji Jianghui, a Chinese Academy Of Sciences astronomer leading the CHES project.
The new CHES telescope is still under development. Involved space experts said that they might launch the new space tech as early as 2026.
But, this will still depend on the issues that the new space telescope might experience. On the other hand, the new Chinese space telescope is expected to observe around 100 sun-like stars for Earth-like planets.
The South China Morning Post reported that CHES works by measuring the "wobble" of a star. It can do this with the accuracy of 1 micro arcsecond.
Ji said that they will achieve this using the so-called laser focal plane metrology. As of press time, CHES still needs to receive approval for the use of the laser focal plane metrology.
Once it gets the go-signal from the Chinese government, the developers are expected to complete the new space telescope in about five years.
Meanwhile, China's Tianwen-1 Mission previously celebrated its first year on Mars.On the other hand, MIT's new self-rearranging space station is expected to be better than ISS.
For more news updates about CHES telescope and other new space techs, always keep your tabs open here at TechTimes.
Related Article:Space Cooperation To Be Enhanced by New BRICS Joint Committee With China Leading the Members
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The Organization | [Deck Recipes] May 26th, 2022 – YGOrganization
Posted: at 2:20 am
5 Decks about Cyber Dragon on its birthday, Monarchs with an Egyptian touch, Amazoness awakens to spring, and a Bakura Fan Deck.
May 25th is the release birthday of Cyber Dragon!
Deck 1: Mekk-Knight Deck Featuring Cyber Dragon
3 Mekk-Knight Purple Nightfall1 Mekk-Knight Indigo Eclipse1 Mekk-Knight Red Moon1 Mekk-Knight Yellow Star1 Mekk-Knight Green Horizon1 Mekk-Knight Orange Sunset3 Mekk-Knight Blue Sky1 Girsu, the Orcust Mekk-Knight1 World Legacy World Chalice1 Cyber Eltanin3 Cyber Dragon3 Cyber Dragon Core2 Cyber Dragon Herz3 Galaxy Soldier
3 World Legacys Memory2 World Legacy Scars1 World Legacy Key1 World Legacy Succession3 Cyber Emergency1 Cyber Repair Plant
2 World Legacys Secret1 World Legacy Whispers1 Beast King Unleashed
1 Chimeratech Megafleet Dragon1 Cyber Dragon Infinity1 Cyber Dragon Nova1 Constellar Pleiades1 Mekk-Knight Crusadia Avramax1 Accesscode Talker1 Mekk-Knight Spectrum Supreme1 Knightmare Unicorn2 Mekk-Knight of the Morning Star1 Knightmare Phoenix1 Lib the World Key Blademaster1 Union Carrier1 I:P Masquerena1 Salamangreat Almiraj
Deck 2: Gizmek Deck Featuring Cyber Dragon
3 Cyber Dragon3 Cyber Dragon Herz1 Cyber Dragon Nachster2 Jizukiru, the Star Destroying Kaiju1 Gizmek Okami, the Dreaded Deluge Dragon1 Gizmek Kaku, the Supreme Shining Sky Stag1 Gizmek Orochi, the Serpentron Sky Slasher2 Gizmek Uka, the Festive Fox of Fecundity3 Gizmek Yata, the Gleaming Vanguard3 Gizmek Arakami, the Hailbringer Hog2 Gizmek Taniguku, the Immobile Intellect3 Gizmek Naganaki, the Sunrise Signaler2 Gizmek Inaba, the Hopping Hare of Hakuto
3 Small World3 Machine Duplication1 Cyber Repair Plant1 Terraforming2 Urgent Schedule3 Sacred Scrolls of the Gizmek Legend
1 Topologic Zeroboros1 Steel Star Regulator2 Cyber Dragon Sieger1 Platinum Gadget1 Union Carrier1 Double Headed Anger Knuckle1 Qliphort Genius1 Barricadeborg Blocker1 Linkuriboh1 Cyber Dragon Infinity1 Cyber Dragon Nova1 Constellar Pleiades1 Chimeratech Megafleet Dragon1 Chimeratech Fortress Dragon
Deck 3: Mysterune Deck Featuring Cyber Dragon Deck
3 Cyber Dragon Core3 Cyber Dragon
3 Spring of the Mysterune1 Deceit of the Mysterune1 Cyber Eternal2 Mysterune of Destruction2 Mysterune of the Raging Storm2 Mysterune of Dispel2 Mysterune of Slumber3 Mysterune of the Freezing Curse3 Mysterune of the Brilliant Flame3 Spear Shard of the Mysterune1 Mysterune of the Golden Droplets3 Monster Gate3 Reasoning2 Chicken Game1 Cyberload Fusion1 Terraforming1 Set Rotation
1 Chimeratech Fortress Dragon3 Geri, Fangs of the Mysterune3 Huginn, Wings of the Mysterune3 Muninn, Wings of the Mysterune3 Chimeratech Megafleet Dragon1 Chimeratech Overdragon1 Chimeratech Rampage Dragon
Deck 4: Gradius Deck Featuring Cyber Dragon
3 Gradius3 Cyber Dragon3 Gradius Option3 Vic Viper T3011 Victory Viper XX032 Gold Gadget2 Silver Gadget1 Cyber Dragon Drei1 Cyber Dragon Vier1 Cyber Eltanin3 Honest
1 Cyclon Laser3 United We Stand3 Psychic Blade1 Unexpected Dai3 Cyber Emergency3 Limiter Removal1 Double or Nothing!1 Harpies Feather Duster
1 Red Reboot
1 Platinum Gadget1 Cyber Dragon Sieger1 Underclock Taker1 Heavy Armored Train Ironwolf1 Number 60: Dugares the Timeless1 Daigusto Emeral1 Gear Gigant X1 Number 39: Utopia Double1 Number 39: Utopia1 Drill Driver Vespenato1 Cyber Dragon Nova1 Cyber Dragon Infinity1 Divine Arsenal AA-ZEUS Sky Thunder1 Chimeratech Fortress Dragon1 Chimeratech Megafleet Dragon
Deck 5: Machine Deck Featuring Cyber Dragon
3 Cyber Dragon2 Cyber Dragon Herz3 Flying Pegasus Railroad Stampede3 Ruffian Railcar2 Super Express Bullet Train3 Night Express Knight3 Heavy Freight Train Derricrane
3 Revolving Switchyard1 Harpies Feather Duster1 Terraforming3 Cyber Emergency3 Twin Twisters2 Pot of Desires3 Urgent Schedule2 Called by the Grave1 Sky Striker Mecha Eagle Booster
2 E.M.R.
3 Chimeratech Megafleet Dragon1 Cyber Dragon Nova1 Cyber Dragon Infinity2 Superdreadnought Rail Cannon Gustav Max2 Number 81: Superdreadnought Rail Cannon Super Dora1 Skypalace Gangaridai2 Superdreadnought Rail Cannon Juggernaut Liebe1 Double Headed Anger Knuckle1 Pentestag1 Cyber Dragon Sieger
New Product Deck: Monarch Deck Featuring Qardan the Great Sage
3 Qardan the Great Sage3 Edea the Heavenly Squire3 Eidos the Underworld Squire2 Kuraz the Light Monarch1 Seleglare the Luminous Lunar Dragon1 Bahalutiya, the Grand Radiance3 Ehther the Heavenly Monarch3 Erebus the Underworld Monarch
3 Domain of the True Monarchs3 The Monarchs Stormforth1 Return of the Monarchs3 Tenacity of the Monarchs3 Pantheism of the Monarchs1 One for One
2 The Prime Monarch2 Escalation of the Monarchs2 The Monarchs Erupt1 The First Monarch
New Product Deck: Amazoness + Vernalizer Fairy Deck
1 Amazoness Baby Tiger1 Amazoness Shaman1 Vernalizer Fairy of Flowers and Fields2 Vernalizer Fairy of Mountains and Melting Snow3 Amazoness Silver Sword Master3 Amazoness Princess1 Amazoness Tiger2 Vernalizer Fairy of Forests and Awakening2 Vernalizer Fairy of Hills and Blooms2 Amazoness Swords Woman3 Amazoness Golden Whip Master1 Amazoness Warrior Chief2 Aussa the Earth Channeler1 Amazoness Queen
2 Polymerization1 Fusion Deployment1 Harpies Feather Duster1 Reinforcement of the Army1 Flower Crown of the Vernalizer Fairy3 Amazoness Call2 Amazoness Secret Technique
1 Vernalizer Fairy and Flower Buds3 Amazoness Onslaught
2 Amazoness Pet Liger2 Amazoness Empress2 Amazoness King Liger2 Amazoness Kaiserin1 Geonator Transverser1 Missus Radiant1 Knightmare Cerberus1 Aussa the Earth Charmer, Immovable1 Ferocious Flame Swordsman1 Gouki The Powerload Ogre1 Underworld Goddess of t
My Favorite Deck: Fiend + Zombie Deck
A Deck that uses various strategies!
1 Dark Master Zorc1 Doomking Balerdroch1 Curse Necrofear1 Dark Necrofear1 Puppet Master1 Diabound Kernel1 Doomcaliber Knight1 Gernia1 Necroface1 Goblin Zombie1 Mimicking Man-Eater Bug1 Spirit Reaper1 Dark Spirit of Malice1 Dark Spirit of Banishment1 Jowgen the Spiritualist1 Sangan1 Plaguespreader Zombie1 Mad Mauler1 Morphing Jar1 Headless Knight1 The Portraits Secret1 Earthbound Spirit1 The Gross Ghost of Fled Dreams
1 Dark Sanctuary1 Spirit Message I1 Spirit Message N1 Spirit Message A1 Spirit Message L1 The Dark Door1 Contract with the Dark Master1 Advanced Ritual Art1 Dark Spirits Mastery1 Spiritualism1 Monster Reborn1 Pot of Extravagance
1 Destiny Board1 Sentence of Doom1 Zoma the Spirit1 Macro Cosmos1 Dark Spirit of the Silent
1 Elder Entity Ntss1 Red-Eyes Zombie Dragon Lord1 Groza, Tyrant of Thunder1 Red-Eyes Zombie Necro Dragon1 Revived King Ha Des1 Old Entity Cthugua1 Old Entity Hastorr1 Steelswarm Roach1 Outer Entity Nyarla1 D/D/D Wave King Caesar1 Unchained Abomination1 Knightmare Phoenix1 Knightmare Gryphon1 Knightmare Cerberus1 Masterking Archfiend
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Three Key Artificial Intelligence Adoption Pitfalls to Avoid in 2022 and Beyond – EnterpriseTalk
Posted: at 2:19 am
The avenue to adopting Artificial intelligence (AI) isnt always straightforward. Business leaders must collect the appropriate data, identify the right technologies for their firm, and teach their employees how to construct and enhance AI models. Even if leaders have identified the ideal AI for their company and have properly on boarded it, theres still a chance they wont receive what they want or need from it.
Artificial intelligence (AI) has found its route into practically every field, and its popularity is only growing. AI can enhance productivity and deliver valuable insights to corporate executives when used effectively. However, many leaders are confused about how to employ technology effectively, and a misguided AI program might do more damage than good.
Best practices must be followed to ensure that AI benefits rather than destroys the organization. Here are three pitfalls to avoid when using AI to achieve business objectives.
Not having the proper team size
Most firms are aware that AI solutions are robust, but many overlook the complexity they entail. AI implementations need an adequately sized crew to keep the algorithms in top form. As a result, many corporations choose to outsource AI development projects or extend their AI development teams using on-demand staffing services.
Also Read: Three Potent Ways Artificial Intelligence Can Assist With Pricing
Failure to retain AI effectiveness
To be a successful solution over time, AI will require involvement. For example, if AI fails or corporate objectives shift, AI procedures must also shift. If nothing is done or proper intervention is not implemented, AI advice may obstruct or contradict corporate goals.
Take, for example, AI-based pricing systems. If the AI system is not put up to adapt to market changes, its efficacy will suffer. To put it another way, the AI system must make adjustments to the current market as the source data changes.
The performance of the sales staff is one approach to assessing AI efficacy. Effective sales teams want to follow price suggestions that help them meet their objectives. Therefore, they should be willing to have their performance evaluated based on how well they use AI that delivers value. Profit margin and revenue are two common pricing-related KPIs. KPI tracking may also reveal which sales teams or team individuals use AI. If the recommendations are not helping them meet their KPIs, its time to step in.
To reduce the strain on AI users, interventions should be scalable and repeatable through highly automated procedures. The intervention should consist of two parts: examining the AI systems inputs and confirming that its output is as intended. Each of these activities should be done on a regular basis throughout the year.
Also Read: Artificial Intelligence and its Impact on The Future of Recruitment
Ignoring the architectural fit
Despite the urge to get started with AI, it can be challenging to reap the benefits that organizations want if they lack the proper data infrastructure, leading to a slew of errors.
Before contemplating AI, a business must be able to acquire, store, and process data in order to get value from it. If they dont, firms risk employing inexperienced analytics, making teams more vulnerable to a variety of mistakes.
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MIT Engineers Use Artificial Intelligence To Capture the Complexity of Breaking Waves – SciTechDaily
Posted: at 2:19 am
Using machine learning along with data from wave tank experiments, MIT engineers have found a way to model how waves break. With this, you could simulate waves to help design structures better, more efficiently, and without huge safety factors, says Themis Sapsis. Credit: iStockphoto
The new models predictions should help researchers improve ocean climate simulations and hone the design of offshore structures.
Waves break once they swell to a critical height, before cresting and crashing into a shower of droplets and bubbles. These waves can be as big as a surfers point break and as small as a gentle ripple rolling to shore. For decades, the dynamics of how and when a wave breaks have been too complex for scientists to predict.
Now, MIT engineers have found a new method for modeling how waves break. The researchers tweaked equations that have previously been used to predict wave behavior using machine learning and data from wave-tank tests. Engineers frequently use such equations to help them design robust offshore platforms and structures. But until now, the equations have not been able to capture the complexity of breaking waves.
The researchers discovered that the modified model predicted how and when waves would break more accurately. The model, for example, assessed a waves steepness shortly before breaking, as well as its energy and frequency after breaking, more accurately than traditional wave equations.
Their results, published recently in the journal Nature Communications, will help scientists understand how a breaking wave affects the water around it. Knowing precisely how these waves interact can help hone the design of offshore structures. It can also improve predictions for how the ocean interacts with the atmosphere. Having better estimates of how waves break can help scientists predict, for instance, how much carbon dioxide and other atmospheric gases the ocean can absorb.
Wave breaking is what puts air into the ocean, says study author Themis Sapsis, an associate professor of mechanical and ocean engineering and an affiliate of the Institute for Data, Systems, and Society at MIT. It may sound like a detail, but if you multiply its effect over the area of the entire ocean, wave breaking starts becoming fundamentally important to climate prediction.
The studys co-authors include lead author and MIT postdoc Debbie Eeltink, Hubert Branger, and Christopher Luneau of Aix-Marseille University, Amin Chabchoub of Kyoto University, Jerome Kasparian of the University of Geneva, and T.S. van den Bremer of Delft University of Technology.
To predict the dynamics of a breaking wave, scientists typically take one of two approaches: They either attempt to precisely simulate the wave at the scale of individual molecules of water and air, or they run experiments to try and characterize waves with actual measurements. The first approach is computationally expensive and difficult to simulate even over a small area; the second requires a huge amount of time to run enough experiments to yield statistically significant results.
The MIT team instead borrowed pieces from both approaches to develop a more efficient and accurate model using machine learning. The researchers started with a set of equations that is considered the standard description of wave behavior. They aimed to improve the model by training the model on data of breaking waves from actual experiments.
We had a simple model that doesnt capture wave breaking, and then we had the truth, meaning experiments that involve wave breaking, Eeltink explains. Then we wanted to use machine learning to learn the difference between the two.
The researchers obtained wave breaking data by running experiments in a 40-meter-long tank. The tank was fitted at one end with a paddle which the team used to initiate each wave. The team set the paddle to produce a breaking wave in the middle of the tank. Gauges along the length of the tank measured the waters height as waves propagated down the tank.
It takes a lot of time to run these experiments, Eeltink says. Between each experiment, you have to wait for the water to completely calm down before you launch the next experiment, otherwise they influence each other.
In all, the team ran about 250 experiments, the data from which they used to train a type of machine-learning algorithm known as a neural network. Specifically, the algorithm is trained to compare the real waves in experiments with the predicted waves in the simple model, and based on any differences between the two, the algorithm tunes the model to fit reality.
After training the algorithm on their experimental data, the team introduced the model to entirely new data in this case, measurements from two independent experiments, each run at separate wave tanks with different dimensions. In these tests, they found the updated model made more accurate predictions than the simple, untrained model, for instance making better estimates of a breaking waves steepness.
The new model also captured an essential property of breaking waves known as the downshift, in which the frequency of a wave is shifted to a lower value. The speed of a wave depends on its frequency. For ocean waves, lower frequencies move faster than higher frequencies. Therefore, after the downshift, the wave will move faster. The new model predicts the change in frequency, before and after each breaking wave, which could be especially relevant in preparing for coastal storms.
When you want to forecast when high waves of a swell would reach a harbor, and you want to leave the harbor before those waves arrive, then if you get the wave frequency wrong, then the speed at which the waves are approaching is wrong, Eeltink says.
The teams updated wave model is in the form of an open-source code that others could potentially use, for instance in climate simulations of the oceans potential to absorb carbon dioxide and other atmospheric gases. The code can also be worked into simulated tests of offshore platforms and coastal structures.
The number one purpose of this model is to predict what a wave will do, Sapsis says. If you dont model wave breaking right, it would have tremendous implications for how structures behave. With this, you could simulate waves to help design structures better, more efficiently, and without huge safety factors.
Reference: Nonlinear wave evolution with data-driven breaking by D. Eeltink, H. Branger, C. Luneau, Y. He, A. Chabchoub, J. Kasparian, T. S. van den Bremer & T. P. Sapsis, 29 April 2022, Nature Communications.DOI: 10.1038/s41467-022-30025-z
This research is supported, in part, by the Swiss National Science Foundation, and by the U.S. Office of Naval Research.
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Using Artificial Intelligence to Predict Life-Threatening Bacterial Disease in Dogs – University of California, Davis
Posted: at 2:19 am
Leptospirosis, a disease that dogs can get from drinking water contaminated with Leptospira bacteria, can cause kidney failure, liver disease and severe bleeding into the lungs. Early detection of the disease is crucial and may mean the difference between life and death.
Veterinarians and researchers at the University of California, Davis, School of Veterinary Medicine have discovered a technique to predict leptospirosis in dogs through the use of artificial intelligence. After many months of testing various models, the team has developed one that outperformed traditional testing methods and provided accurate early detection of the disease. The groundbreaking discovery was published in Journal of Veterinary Diagnostic Investigation.
Traditional testing for Leptospira lacks sensitivity early in the disease process, said lead author Krystle Reagan, a board-certified internal medicine specialist and assistant professor focusing on infectious diseases. Detection also can take more than two weeks because of the need to demonstrate a rise in the level of antibodies in a blood sample. Our AI model eliminates those two roadblocks to a swift and accurate diagnosis.
The research involved historical data of patients at the UC Davis Veterinary Medical Teaching Hospital that had been tested for leptospirosis. Routinely collected blood work from these 413 dogs was used to train an AI prediction model. Over the next year, the hospital treated an additional 53 dogs with suspected leptospirosis. The model correctly identified all nine dogs that were positive for leptospirosis (100% sensitivity). The model also correctly identified approximately 90% of the 44 dogs that were ultimately leptospirosis negative.
The goal for the model is for it to become an online resource for veterinarians to enter patient data and receive a timely prediction.
AI-based, clinical decision making is going to be the future for many aspects of veterinary medicine, said School of Veterinary Medicine Dean Mark Stetter. I am thrilled to see UC Davis veterinarians and scientists leading that charge. We are committed to putting resources behind AI ventures and look forward to partnering with researchers, philanthropists, and industry to advance this science.
Leptospirosis is a life-threatening zoonotic disease, meaning it can transfer from animals to humans. As the disease is also difficult to diagnose in people, Reagan hopes the technology behind this groundbreaking detection model has translational ability into human medicine.
My hope is this technology will be able to recognize cases of leptospirosis in near real time, giving clinicians and owners important information about the disease process and prognosis, said Reagan. As we move forward, we hope to apply AI methods to improve our ability to quickly diagnose other types of infections.
Reagan is a founding member of the schools Artificial Intelligence in Veterinary Medicine Interest Group comprising veterinarians promoting the use of AI in the profession. This research was done in collaboration with members of UC Davis Center for Data Science and Artificial Intelligence Research, led by professor of mathematics Thomas Strohmer. He and his students were involved in the algorithm building. The center strives to bring together world-renowned experts from many fields of study with top data science and AI researchers to advance data science foundations, methods, and applications.
Reagans group is actively pursuing AI for prediction of outcome for other types of infections, including a prediction model for antimicrobial resistant infections, which is a growing problem in veterinary and human medicine. Previously, the group developed an AI algorithm to predict Addisons disease with an accuracy rate greater than 99%.
Other authors include Shaofeng Deng, Junda Sheng, Jamie Sebastian, Zhe Wang, Sara N. Huebner, Louise A. Wenke, Sarah R. Michalak and Jane E. Sykes. Funding support comes from the National Science Foundation.
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