Operating system in a computer is needed in order to enhance the computer performance. Without an operating system a computer is unable to work. In the market nowadays we are able to find the most popular operating system that many computers in the world are using it. The operating system is Windows 7. In Cbtplanet.com we are able to find many courses that enable us to learn more about this particular operating system. They can provide us many training videos in packed in CDs and DVDs that can make our learning easier. Trough this website also we are able to see their windows 7 course outline, therefore we are able to choose the most suitable course of windows 7 that suits to our need.

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Many of us are not that qualified to make a robot by ourselves and that why we all are anxious to know how to make a robot and even depends upon the task we want to create it for. We all have the tendencies of exploring whatever new comes in the field of science and hence a basic prototype robot can be created knowing few basic high end programming stuffs.

Robots are almost 30% programming and hence if we target one specific purpose and program it well enough then it serves our purpose and the program mostly used for this is Unix and for beginner’s Lego Mindstorms series is the best and how complicated your robot might turn up to be depends upon your technical acumen.

While learning how to make a robot we should always keep in mind that fewer the moving parts be of the robot better it is for the beginner’s as for startup we might just want it to move from here and there or hold something and sort of stuff. We should link if-then statement well and it should be taken care of that battery is never less then 50% and if so happens it should be re charged.

Thus we now understand that knowing how to make robot can never be known as there is no limit to what can be achieved with the knowledge of science and development of robots can never end.

First make the black powder mix. Use Potassium Nitrate, Air Float Charcoal,80 Mesh Charcoal, Sulfur in the ratio of 16:6:3:4. This is a optimum mix ratio, grind all the mix into a container and make a fine free flowing powder. Pass it though a mesh preferably 20 Mesh steel mesh.

Take a 4 Oz Engine tube for making the Body of the rocket. Now ram the fine grained black powder mix into the tube up to 80% and a little air room. You can use a ‘ram through funnel’, which will make our task easy, the rammed materials inside the body of the rocket should be hard.

Now fill in clay after making it a little moist and fill it in the space where the room for air has been left. Now punch a thin hole in the clay using a thin object, say needle. This is for the fuse. A ready made fuse can be obtained from a firecracker or by coating a cotton string with the same black powder material.

Attach the fuse to the under part of the rocket body through the clay, also make a conical head of paper materials.

Now tape a long stick to the rocket for stability. The rocket is ready now, bury the stick in the sand upright and light the fuse, watch it skyrocket upwards.

The Human Cortex

The most striking feature of the human brain is seen in the cortex. This is the folded, hemispherical structure which constitutes the bulk of the visible brain.

It is not present in reptiles.

The cortex is relatively recent. It is perhaps one hundred thousand years old and is the part of the brain most closely associated with our ability to form complex representations of the external world, to reason logically and to use language.

It is much more dominant in humans than in any other species.

Regions of the cortex control vision, our auditory senses, and voluntary movement and touch sensations. It is also crucial for long term memory.

Neurons and Networks

The central nervous system is composed of something like one hundred billion nerve cells or neurons.

Each nerve cell or neuron possesses a single axon along which it can pass electrical signals to other neurons. Incoming signals are carried by a neuron’s dendrites which form a tree-like structure around the neuron.

Neurons are about one micron (1 millionth meter) in diameter. The dendrites are perhaps ten times this in length while the axon varies from a millimetre up to one metre in length.

The signal from one neuron reaches another at the junction of axon and dendrite — the synaptic gap.

The typical voltages associated to these signals are small (tens of millivolts) and travel at about two hundred miles an hour (100 metres per second)

Typically neurons can only fire once every millisecond (one thousandth of a second)

Different patterns of electrical firing activity are associated with different brain functions.

Learning and Connections

The brain is both robust (able to function in the event of severed connections and/or dead neurons) and plastic – able to adapt to new memories and functions.

This is due to ability of the brain to form new connections between neurons. These connections take place at synapses and are
mediated by the release of neurotransmitter chemicals.

These neurotransmitters alter the effective strength of the signal which can pass between
neurons.

During our early years and during any kind of learning process these connections form and change their strengths.

The power of the brain as a computational device derives from the complex network of neural pathways and the simultaneous processing capability of all the neurons.

One such immensely powerful device belongs to you.

You can personally programme this device (your brain) to deliver everything you have ever truly desired.

This Genie within you is simply waiting to be told what it is you want.

So set your Genie some exciting tasks to perform and pilot yourself to a future of positive expectation.

The Age of biotechnology arrives with “somatostatin” – a human growth hormone-releasing inhibitory factor, the first human protein manufactured in bacteria by Genentech, Inc. A synthetic, recombinant gene was used to clone a protein for the first time.

1978:

Genentech, Inc. and The City of Hope National Medical Center announce the successful laboratory production of human insulin using recombinant DNA technology. Hutchinson and Edgell show it is possible to introduce specific mutations at specific sites in a DNA molecule.

1979:

Sir Walter Bodmer suggests a way of using DNA technology to find gene markers to show up specific genetic diseases and their carriers. John Baxter reports cloning the gene for human growth hormone.

1980:

The prokaryote model, E. coli, is used to produce insulin and other medicine, in human form. Researchers successfully introduce a human gene – one that codes for the protein interferon- into a bacterium. The U.S. patent for gene cloning is awarded to Cohen and Boyer.

1981:

Scientists at Ohio University produce the first transgenic animals by transferring genes from other animals into mice. The first gene-synthesizing machines are developed. Chinese scientists successfully clone a golden carp fish.

1982:

Genentech, Inc. receives approval from the Food and Drug Administration to market genetically engineered human insulin. Applied Biosystems, Inc. introduces the first commercial gas phase protein sequencer.

1983:

The polymerase chain reaction is invented by Kary B Mullis. The first artificial chromosome is synthesized, and the first genetic markers for specific inherited diseases are found.

1984:

Chiron Corp. announces the first cloning and sequencing of the entire human immunodeficiency virus (HIV) genome. Alec Jeffreys introduces technique for DNA fingerprinting to identify individuals. The first genetically engineered vaccine is developed.

1985:

Cetus Corporation’s develops GeneAmp polymerase chain reaction (PCR) technology, which could generate billions of copies of a targeted gene sequence in only hours. Scientists find a gene marker for cystic fibrosis on chromosome number 7.

1986:

The first genetically engineered human vaccine – Chiron’s Recombivax HB – is approved for the prevention of hepatitis B. A regiment of scientists and technicians at Caltech and Applied Biosystems, Inc. invented the automated DNA fluorescence sequencer.

1987:

The first outdoor tests on a genetically engineered bacterium are allowed. It inhibits frost formation on plants. Genentech’s tissue plasminogen activator (tPA), sold as Activase, is approved as a treatment for heart attacks.

1988:

Harvard molecular geneticists Philip Leder and Timothy Stewart awarded the first patent for a genetically altered animal, a mouse that is highly susceptible to breast cancer

1989:

UC Davis scientists develop a recombinant vaccine against the deadly rinderpest virus. The human genome project is set up, a collaboration between scientists from countries around the world to work out the whole of the human genetic code.

1990:

The first gene therapy takes place, on a four-year-old girl with an immune-system disorder called ADA deficiency. The human genome project is formally launched.

1991:

Mary-Claire King, of the University of California, Berkeley, finds evidence that a gene on chromosome 17 causes the inherited form of breast cancer and also increases the risk of ovarian cancer. Tracey the first transgenic sheep is born.

1992:

The first liver xenotransplant from one type of animal to another is carried out successfully. Chiron’s Proleukin is approved for the treatment of renal cell cancer.

1993:

The FDA declares that genetically engineered foods are “not inherently dangerous” and do not require special regulation. Chiron’s Betaseron is approved as the first treatment for multiple sclerosis in 20 years.

1994:

The first genetically engineered food product, the Flavr Savr tomato, gained FDA approval. The first breast cancer gene is discovered. Genentech’s Nutropin is approved for the treatment of growth hormone deficiency.

1995:

Researchers at Duke University Medical Center transplanted hearts from genetically altered pigs into baboons, proving that cross-species operations are possible. The bacterium Haemophilus influenzae is the first living organism in the world to have its entire genome sequenced.

1996:

Biogen’s Avonex is approved for the treatment of multiple sclerosis. The discovery of a gene associated with Parkinson’s disease provides an important new avenue of research into the cause and potential treatment of the debilitating neurological ailment.

1997:

Researchers at Scotland’s Roslin Institute report that they have cloned a sheep–named Dolly–from the cell of an adult ewe. The FDA approves Rituxan, the first antibody-based therapy for cancer.

1998:

The first complete animal genome the C.elegans worm is sequenced. James Thomson at Wisconsin and John Gearhart in Baltimore each develop a technique for culturing embryonic stem cells.

1999:

A new medical diagnostic test will for the first time allow quick identification of BSE/CJD a rare but devastating form of neurologic disease transmitted from cattle to humans.

2000:

“Golden Rice,” modified to make vitamin A. Cloned pigs are born for the first time in work done by Alan Coleman and his team at PPL, the Edinburgh-based company responsible for Dolly the sheep.

2001:

The sequence of the human genome is published in Science and Nature, making it possible for researchers all over the world to begin developing genetically based treatments for disease.

2002:

Researchers sequence the DNA of rice, and is the first crop to have its genome decoded.

2003:

The sequencing of the human genome is completed.

Then God said, “Let there be light,” and there was light. This ancient description of the creation of the universe found in the Book of Genesis may be accurate after all. The big bang theory describes the beginning of the universe as having been precipitated from an infinitesimally small point. In this small volume, all matter and energy was concentrated until its contents exploded in either a smooth expansion or an incredibly violent energetic explosion that formed the planets, stars and galaxies. Originally this theory had competition from what is called the ’steady state’ theory whereby the universe is forever expanding and new matter and energy is created spontaneously within the space left by the receding galaxies. However, empirical observations have directed astronomers and scientists into the acceptance of the big bang model. But how did we get to this point in our understanding?

In the early part of the twentieth century the American astronomer Vesto Slipher and the German Carl Wirtz made some important astronomical discoveries. Using spectral analysis, Slipher deciphered the mixtures of gases contained in planetary atmospheres as well as nebulae. What distinguishes his findings is the discovery that most if not all galaxies outside of our own demonstrate what is called a ‘Red Shift.’ This shift is simply a change in the wavelength of the light emitted by those objects under investigation towards a longer wavelength. Wirtz similarly catalogued many red shifts of the nebulae which he chose to study. But it was still to early for them to realize the full potential meaning of their observations. That would wait until Einstein’s General Relativity would be interpreted by other scientists through further mathematical analysis.

His contemporaries demonstrated to Einstein that his new Theory of General Relativity published in 1916 was not compatible with a ’static’ universe of space time. The theory predicted an expanding or collapsing universe but not a fixed cosmos. Because he personally believed the universe to be an invariable space time continuum, Einstein engaged in a degree of scientific legerdemain. To correct what he perceived to be as ‘flaws’ in his theory he added the contrivance of a cosmological constant known as lambda to force the static universe into reality. Einstein’s view of perfection in an unchanging space time continuum had led him down a blind alley as much as Aristotle’s concept of perfection had brought that great philosopher into the error of believing in a static Earth at the center of the universe.

But even with the addition of the cosmological constant lambda, the universe was still found to be unstable and this whole affair would later be viewed by Einstein as his “greatest blunder.” His cosmological acrobatics behind him, Einstein yielded the stage to others for a clearer understanding of his own theory. It fell to Alexander Alexandrovich Friedmann to consider the consequences of General Relativity without the constant lambda interfering with his study of these relationships. In doing so, the Russian mathematician and cosmologist derived the solution which predicts an ever expanding cosmological structure (1922), a prediction which was disagreeable with Einstein’s concept of universal perfection. A couple of years later, Friedmann published his findings in “About the Possibility of a World with Constant Negative Curvature of Space.” But the entire hypothetical construct still lacked a complete verbalization mathematically and theoretically.

Enter the Reverend Father Georges Lemaitre, a Catholic priest from Belgium. Rev. Fr. Lemaitre provided the equations necessary to formulate the basis of Big Bang theory in his work entitled “Hypothesis of the Primeval Atom.” He postulated that the universe began as a primordial atom of infinitesimal volume and enormous mass energy as well as space and time and everything else comprising the future universe. At some point the universe began with the explosion of this super atom. Lemaitre published his theoretical ideas between the years 1927 and 1933 and speculated that the movement of the nebulae demonstrated the validity of the explosion of his cosmic super atom. Unfortunately, he also wrongly believed that cosmic rays might be an after effect of the super atom’s big bang. These are now known to be generated not from a universal conflagration but from galactic sources unrelated to the big bang.

However, the new theory still lacked a major source of observational support. This would be provided by Edwin Hubble’s observations of the redshift of galaxies. Taking up where Slipher and Wirtz left off, Hubble employed a novel technique to discern the properties of the galactic movements. By choosing to observe stars that are known as Cepheid Variables he could more accurately make measurements. Cepheids are a type of star that brighten and darken and lighten back up in regular periods of time that are well known. Cepheids that have identical cycle times of brightening darkening and brightening again also have identical or nearly identical luminosity. Thus, if one compares the length of the cycle to the amount of light apparent to the observer it is possible to accurately prepare an estimate of the distance to the cepheid.

In this manner, Hubble had found that the nebulae or galaxies exhibited a galactic red shift; in other words, that galaxies were receding away from ours at a speed which is correlated directly with the distance between our vantage point and the galaxy being studied. The further away the galaxies were the faster they appeared to be going in moving away from us. The results of these investigations is now known as Hubble’s Law. Essentially, this law states that universe is in an ever expanding mode whereby the intergalactic distances continue to grow without bound into infinity. Hubble’s Law depends upon the shifting of the wavelength of light and after having been delineated in 1929 has been subsequently proven over and over again. Further, Hubble’s constant has been recalculated to a more ‘perfect’ value and retains a great probability of being ‘recomputed’ in the future based upon new observations.

Thus, it should be clear to the reader that our scientists have a fateful habit of introducing their preconceived notions of beauty into their models. From Aristotle’s static Earth to Einstein’s greatest blunder, the constant which forces a static universe, we proceed only from the wisdom of our weak minds. The more things change the more things stay the same. Man’s hubris knows no limits in our attempts to understand things without the wisdom to comprehend its underlying meaning. Humble we are not. We are making the same mistakes we always have.

Knowing what a microscope is used for is only half of the story though. It is also interesting to consider how the technology works. The technical alignments of the components of a microscope are very detailed and can be incredibly hard to get right. However the basic principles of the function of a microscope are actually surprisingly simple. A magnifying lens is situated in the part of the microscope which is placed near to the object being studied. This lens creates an enlarged image of the subject just inside the tube from the light which it reflects. This is quite a complex area of physics but the image of the object which is created inside the microscope is what is actually enlarged to enable a more in depth view of the subject. Most microscopes actually contain two lenses, one at each end of the eye tube. Between them is an air separated couplet. This is known as a compound lens microscope. The image of the subject is created between the two lenses. The one closest to the subject is used to bring the image into focus while the one closest to the eye is used to help the eye focus on that image.

When viewing an object through a microscope correctly your eye should be focused to infinity. For those who use a microscope frequently, or for prolonged periods of time, and experience headaches or tired eyes it is usually as a result of incorrect focusing of the microscope. If it is focused correctly there should be no adverse affects to using a microscope often and for long periods at a time.

The invention of the microscope is shrouded in mystery as many have claimed to have been responsible for it but there is no real evidence to confirm any one individual. Names such as Galileo Galilei and Zacharias Janssen have been suggested but nobody knows for certain who it should be attributed to.

However, what’s taught in schools are just basic. What most people, especially religious fundamentalists do not want you to know is that evolution theory can very naturally explain human nature.

It’s not in school. So I’ll tell you here. I’ll start from the least shocking conclusions first and then we’ll go to the most politically incorrect ones people have been trying to hide from you.

Why Cheetah run fast? Simple. In ancient time, some Cheetah run fast, some Cheetah ran slow. Cheetahs that run fast, gather more food, and live. Such Cheetah, then get married, form a family, and life offspring.

The slow Cheetah die. Got it so far? Here we go…

Here, we see that evolution fine tuned Cheetah traits, namely, promoting Cheetahs that run fast.

It turns out, evolution do not only govern physical traits, like how fast you can run and other capabilities. Evolution also fine tuned preferences. Preferences that are working out in the gene pool are preferences that are hard wired in our genes.

Those are preferences that we don’t even have to think about. We just feel like doing it.

For example, most of us have strong preferences to have sex with the opposite sex. Why? Because those who do live have decendants and those who don’t went extinct.

Nothing strange, nothing bizzare.

Now here we go…

Say one male make 1000 kids. Say another male make 1 kids. Which one will survive better in the gene pool? The one making 1000 kids.

You see, gene pool survival is not a boolean value. Survival is not for the fit but for the fittest.

Preferences that work in the gene pool in the past are preferences that are common nowadays.

Ugh, I can sense that the conservative will start going back to their bible. Not yet. Here’s more.

One obvious way to make genetic copies of ourself is by making kids.

Now, if you’re a male, how would you maximize the number of kids you make?

You do so by mating with as many females as possible. Males that mate with more women, and produce more kids, like Genghis Khan, will survive better in the genepool, in the past.

In fact, a genetic testing shows that the y chromosome of Genghish Khan is the same chromosome with 1 out of 4 people in Asia. Now that’s, success.

Let me repeat. Preferences that used to work in the past are preferences that are common nowadays. So, what do common typical males want nowadays? Mate with as many females as possible.

Not necessarily making kids. Our preferences are set up in the past, where sex and kids are inseparable. There are no contraception whatsoever.

So males want as many females as possible. It is normal to want as many females as possible. In fact, the “normality” of those who are homosexual is not far different than the normality of males that are monogamous.

Successful males are males that can make a lot of money, gain huge political power, and mate with many females. That’s what males want.

What do women want? Women want the best genes. Those women that pick the best genes will produce more successful sons. How do women measure the quality of a male’s genetic material? By success. Got so far?

Now, we got an issue. There are the same number of males and females. If one male is successful, the others don’t get any.

And that’s the main sources of conflicts all over the world. When we’re not at war, we’re in a race. When we’re in a race, those who are not competitive will want to knock down those running fast. Such preferences are called envy.

Different societies then have different ways to balance tolerance toward success and some socialism to appease those who are not successful.

The conservative, for example, allow economic success but demand socialism through life long monogamous relationship. The liberal, for example, allow sexual success but demand socialism in economy.

None of which are optimum, in my opinion. I wrote plenty of articles suggesting how better social contracts can benefit both the rich and the poor.

For example, taxing kids, rather than income and paying dividend to all citizens, will allow the poor to postpone making kids and have enough capital to get them rich.

Now, that’s the basic of evolution theory on humans’ nature and preferences. I guess that’s all for an article.

Properly understood, evolution theory can be very useful. We can understand why there are many criminalization against consensual acts. We’ll see that those laws are there to protect disgruntled competitors.

We’ll see why there are so many wars over religious doctrines. That happens because to be successful in countries heavily influenced by envy, the wise need to keep pitting people against each other.

Many more are like this. Properly understood, we can correctly predict the outcome of our choices more accurately. Then we can come up with strategies that will result in what we want more. On the other hand, those who are blind will be eaten by those who see.

It’s toward ones’ best interest to learn and understand evolution theory. Ignore evolution theory at our own peril.

Artificial Intelligence had its ups and downs in the last 50 years. Early success solving small problems in simulation ignited a flurry of predictions about super intelligent machines taking over the world before the coming of the 21st century. Hampered by a lack of a good understanding of how commonsense reasoning works in people and a lack of computational resources, computers being very slow up until the mid nineties, AI research stalled in the 80s. Many people rushed to dismiss it as nothing more than hot air.

However, science is all about proposing and testing new theories in order to find the best ones. Since the mid-90s, AI research has advanced by leaps and bounds. We now have a better understanding of how the human brain works and that has helped us to find and test better computational models for AI. These in turn have also helped us to better understand the functions of the human brain. New techniques such as statistical analysis are helping intelligent agents to copy with large amounts of information and noisy sensors. Faster computers with vast amounts of storage are allowing us to experiment in more challenging domains and solve larger problems.

It is true that AI has not yet been able to produce a machine capable of commonsense reasoning. However, by specialization, many AI systems are actually running our world today. AI helps us fly airplanes and drive our cars. It aids doctors perform surgery. It helps us find information in the vastness of the World Wide Web. It helps us discover spam email and promptly delete it. It helps us schedule traffic lights and public transportation. It helps us analyze financial markets and make predictions about the outcome of sports events. It aids in surveillance of public spaces improving security and safety. These are only a small sample of the penetration of intelligent systems in our daily lives. Artificial Intelligence is here to stay and I bet it won’t be long before we have the understanding, methods and resources to finally construct thinking and learning machines. Let us wish and hope that such technology would only be used to benefit mankind and not destroy it.

You can find lots of information about AI’ and its50th birthday on the Internet. However, I think that best reading about this topic is the 1955 proposal for the AI workshop. You can read it here.

The best part about a science fair project is that you may have your very own group of science fair topic ideas and then you just need to select one and start working on a project that will allow you to compete in this activity that have formed part of education for a long time. A very good method for acquiring 8th grade science fair project ideas will be described in the next few lines if you’re interested in understanding the basics of a science fair project.

The first thing that you should do is to pick one topic of the classification which was stated above, and once you have accomplished that you need to select one of the different subtopics that can be applied to the general topic that you just selected. It is very interesting to ask yourself a question about how things work, and if there are some questions that you cannot answer then those are very good ideas for science projects.

Another good technique for selecting science fair topic ideas will be to read the newspaper and watch television, see what interesting aspects of life are developing nowadays and try to explain them on a science fair project. That way you will get outstanding 8th grade science fair project ideas and with them you will be capable of winning a wonderful prize. And you will have an excellent group of ideas for science projects.

Keep in mind that for selecting the best 8th grade science fair project ideas your selection must be not only a great question, but a successful project also implies that you would be giving the answer by performing an experiment. So it is very important that you prepare yourself with all of the needed materials once you have reduced to one selection from your complete group of good ideas for science projects.

Try to make the project by yourself, ask as little assistance as you can and you will feel that your 8th grade science fair project ideas were incredible and that you accomplished everything by yourself; it will leave you with a sense of accomplishment that cannot be equaled if you win with the help of others.