Tag: <span>science</span>

19 Jul

Science Education In India

Currently there exist a number of life science societies in India. The names being diverse, purpose indeed remains the same. These societies are aiming to bring people on a universal platform and popularize science. Certain initiative needs to be incorporated in order to popularize science, which is necessary for its further betterment in the society.

Life Science Society Initiative (LSSI)

The increased effort by the prevalent societies needs more focused perspective. Current outlook is more towards increasing the awareness of science within the community, also there is interdisciplinary work carried out by some of these societies. The efforts should be directed not just to gather these intellectuals and students on a common platform but also to inculcate the habit amongst them to interact in near future. Directives should thus be towards creation of a scientist, teacher, entrepreneur and most significantly an intellectual.

Scientist-Teacher Interaction (STI)

There should be an increased researcher-educator partnership between both, the educators of science and scientists to teach science as it is practiced. There is a communication gap, which is commonly observed between both the scientist and a teacher. The use and conception of improved facilities, update knowledge and productive interactions between the scientist and teacher should be practiced. Inclusion of teaching, research and human research development must also be a part of the process. Programs should be initiated to enhance interactions amongst both the groups.

Teacher-Student Interaction (TSI)

This interaction is indeed strong and influenced. There is day-to-day interaction and discussion within members of this group. The popularization of science is a positive feature that can be initiated by this group. Apart from academics the vision needs to be set towards popularizing science in near future. In many institutes and colleges the incorporation of research projects as part of the curriculum has generated zeal amongst the young generation towards research and science.

Scientist-Student Interaction (SSI)

In most of the cases the reach of students towards science and or scientist is limited. There is lack of knowledge amongst students about research hence dialogue needs to be established within the scientist-student community. In recent years the communication between this communities is possible by the means of interactive sessions and programme such as conferences, symposia, guest lectures or open forums.

But what is the life of this talk? Does the discussion ends within four walls of the conference room? What are the numbers benefited under these programme? What about the grassroots levels initiatives?

One of the initiatives in this respect is launch of science magazines. In recent years there has been an increase in the number of science-based magazines. Science magazines was previously more focused towards particular age group readers, it now attracts more diversified readers. To some extent the scientific magazines have proved to reduce the barriers. But how many of them afford to purchase or read these magazines?

Science Awareness Strategy (SAS)

Where do we place science, scientist or science educator? Do they always face a setback in terms of pecuniary? Are the science educators looking towards a change? What do students of science think of the long-term prospects of their career in science?

Honestly speaking science is still undoubtedly not so career dream for most of them. Therefore, science should be made more attractive and focused. The perspective of researchers towards the students must be more open. The life science societies and organizations are driven by their own disciplines. They are more focused towards the organizational aspects and need to co-ordinate their activities on issues like science education.

The state of science education in India is currently still critical as compared to rest of the world. The significance of science education should not be ignored. A collaborative effort of scientific and educational communities thus has become a need of an hour.



Source by Devendra Dusane

01 Jul

Speed Tufting Is Both An Art and a Science – Book Review

Many people are quilters, and it takes a long time to learn all the different kinds of stitches, and how to put together complex patterns. People make all kinds of things out of quilting material. Many people are quite accomplished artists in this medium. Still, making a really nice rug for the floor or for a wall can be much more difficult until you learn how to do it correctly. They’re all kinds of things you need to learn if you choose to take up this new sport. Let’s talk about that for a second shall we?

The reason I say this is because I own a very good book that talks about tufting, and the other day when I was going through my bookshelves determining which books I should donate to friends or to the local library I came across this book. I decided to take it with me to the local coffee shop and read through it. I’m very glad I did. It’s an extremely interesting book, and I’d like to recommend it to you as well. The name of the book is;

“The Art of Speed Tufting” by Joseph Montell, published by RC – Rug Crafters, Santa Ana, California, 1973, 63 pages.

In this book you will learn about all of the tools needed for speed tufting. You will learn how to use a tongue and steel shuttle, and a needle and wooden handle tool. You will learn why tufting weavers prefer spring brass tongues, and how to use the adjusting screw to get the tufting tool to walk. It is my belief that if you put in a good 20 hours of practice, you can learn to be a speed tufting artist. If you doubt that, perhaps you might also read the book “The First 20 Hours,” which suggests that you can learn a new skill quite easily if you put your mind to it and use the right methodology to learn.

Okay, back to the tufting book; in this book you will learn how to thread the tufting tool and why there is a bend in the tufting tongue and how to gauge and adjust the loop length as well as the distance between stitches. You will learn about the stretching pattern, preparing the yarn and how to use a yarn reeler. I had no idea about how to latex the back once you are completed, or why the hemming of the pattern and the hemming of a round rug were different.

This book takes you through creating custom patterns from start to finish. Lastly, the book tells you how to wash your creation without ruining it. Please consider all this and think on it – and perhaps, buy this book if you are interested.



Source by Lance Winslow

29 May

Using Scientific Method For Science Fair Projects With Science Kits

Using the scientific method and good science kits can help you succeed with any science fair project. It can make the difference between failure and success. So to help you get started, we’ve compiled the following list of a few crucial steps.

The first step is to identify the question you are seeking to answer. Your question should ask how, what, when, who, where or why regarding something you have observed. The question becomes the foundation for the science fair project. Answering this question becomes the goal of the project. The scientific method will guide you through the project as you gather scientific evidence through various steps of observation, research, trial and error, and measuring, all for the purpose of substantiating any conclusions you will make.

The second step is doing background research to gather information that will help you answer the question you identified in step one. These research findings will become evidence that you will use to prove or disprove a theory. Research can incorporate your local library and the internet. It can also include science kits related to the topic of your question. For example, if your question is related to crystal growing, you can find science kits filled with valuable materials and information that can be used as part of your evidence.

Here is a tip for any research: it’s entirely possible someone else before you has attempted to answer the same question. You don’t want to retrace another’s steps. Your goal is to blaze your own trails while using the knowledge and evidence that others have already uncovered. Even if you utilize science kits prepared for the masses, you can add your own unique approach to how you use it in your science fair project.

Third, after completing the background research, you’ll then form your hypothesis. This means you consider all of the information you’ve gathered, and make an assumption of its outcome. This is also called an “educated guess”. You’ll want to form your hypothesis in such a way that you can not only prove it, but measure your findings that lead you to the answer of your hypothesis.

Fourth, you must test your hypothesis. This can truly be the fun part of your project. You’ve developed your question, completed your research and formed your hypothesis. Your goal now is to prove that hypothesis with experiments. This is another step where good science kits can help by providing you with the materials and information needed to conduct a meaningful test. A good science kit can provide scientific tools and other items that are not normally found around the house.

Here is a tip regarding the testing step. Ideally, you will be able to prove your hypothesis as true, but every good scientist has had his share of projects that disproved his hypothesis. Some scientists have made impressive advances by proving their hypothesis is false. It’s how we move forward and progress. Still, if your hypothesis isn’t proven via your experiments, you will need to backtrack and redefine the hypothesis to one that can be proven successfully.

Finally, every good scientist knows the importance of communication. You will need to document your findings and then communicate your results to others. One way to do this is by displaying your project at a science fair. Displaying colorful posters at the science fair can help better communicate your project. Another method of communication is written reports and articles.

The greatest realizations and inventions throughout history began when someone asked questions and set out to find answers supported by evidence. A science fair is a great place to practice and refine natural traits of curiosity and determination, traits that have caused mankind to keep advancing through the ages. By using the scientific method combined with good science kits, you may just be the next inventor of something amazing that will propel the human race forward.



Source by Joe Kanooga

08 May

How to Become an Expert in Data Science

There are many skills required to become an expert in data science.

But what is most important is mastery of the technical concepts. These include various factors like programming, modeling, statistics, machine learning, and databases.

Programming

Programming is the primary concept you need to know before heading into data science and its various opportunities. To complete any project or carry out some activities related to it, there is a need for a basic level of programming languages. The common programming languages are Python and R since they can be learned easily. It is required for analyzing the data. The tools used for this are RapidMiner, R Studio, SAS, etc.

Modeling

The mathematical models help with carrying out calculations quickly. This, in turn, helps you to make swifter predictions based on the raw data available in front of you. It involves identifying which algorithm would be more befitting for which problem. It also teaches how to train those models. It is a process to systematically put the data retrieved into a specific model for ease in use. It also helps certain organizations or institutions group the data systematically so that they can derive meaningful insights from them. There are three main stages of data science modeling: conceptual, which is regarded as the primary step in modeling, and logical and physical, which are related to disintegrating the data and arranging it into tables, charts, and clusters for easy access. The entity-relationship model is the most basic model of data modeling. Some of the other data modeling concepts involve object-role modeling, Bachman diagrams, and Zachman frameworks.

Statistics

Statistics is one of the four fundamental subjects needed for data science. At the core of data science lies this branch of statistics. It helps the data scientists to obtain meaningful results.

Machine Learning

Machine learning is considered to be the backbone of data science. You need to have a good grip over machine learning to become a successful data scientist. The tools used for this are Azure ML Studio, Spark MLib, Mahout, etc. You should also be aware of the limitations of machine learning. Machine learning is an iterative process.

Databases

A good data scientist should have the proper knowledge of how to manage large databases. They also need to know how databases work and how to carry on the process of database extraction. It is the stored data that is structured in a computer’s memory so that it could be accessed later on in different ways per the need. There are mainly two types of databases. The first one is the relational database, in which the raw data are stored in a structured form in tables and are linked to each other when needed. The second type is non-relational databases, also known as NoSQL databases. These use the fundamental technique of linking data through categories and not relations, unlike relational databases. The key-value pairs are one of the most popular forms of non-relational or NoSQL databases.



Source by Shalini M

29 Apr

The Renaissance and Synergetic Environmental Science

Buckminster Fuller and Sir C P Snow warned that the existing unbalanced understanding of the second law of thermodynamics was accelerating civilisation toward global disaster. To prevent that disaster, modern science needed to be reunited with the Classical Greek Era’s Humanities’ life science. A question arises, is it possible for the Arts to construct a Social Cradle to help ensure that this reunification occurs in time to prevent such global chaos? This paper argues that the basis of a relevant environmental science exists to accomplish that task. It can become the foundation to uphold such a cradle and the Western Arts culture is beginning to become aware of the responsibility for its construction.

The concept is that evolution functions as a universal negentropic process, expressing the infinite properties of fractal geometrical logic. The Encyclopaedia of Human Thermodynamics defines life-science energy as synergy, providing a definition in complete contradiction to Einstein’s contention that all of science must be governed by the second law of thermodynamics. The NASA High Energy Astrophysics Division library has published papers demonstrating that Classical Greek life-science was based upon fractal logic, in which case all life will not be destroyed by order of the second law of thermodynamics.

Sir Isaac Newton’s unpublished papers, discovered last century, specifically balanced the present mechanistic entropic world view with a more profound natural philosophy of science. Newton’s balancing principles were not only an expression of fractal logic but were the same principles that once upheld the ancient Greek life-science. It is nonsense for influential relics from the Inquisition to classify Newton’s balancing science as an insane criminal heresy. Nonetheless, many eminent Western scientists still believe that all life must be destroyed in accordance with the dictates of Einstein’s Premier law of all of science.

Arthur C Clark’s televised documentary entitled Factals:Colours of Infinity, presented several eminent scientists, including Benoit Mandelbrot. Mandelbrot’s famous fractal equation was justifiably hailed as the greatest mathematical discovery in human history. Arthur Clark then explains that fractal logic really does extend to infinity, adding the comment that fractal logic extends past the death of the universe.

Engineering under the yoke of the Principle of Destruction has long been considered a recipe for social disaster. Plato referred to engineers who were ignorant of optical spiritual engineering principles, as being barbarians only suited for continual warfare. The Parthenon was constructed upon Pythagorean fractal mathematical logic as a spiritual statement concerning the ethics that had been fused into theories of creation belonging to the Nous of Anaxagoras. The use of computers in the reconstruction of the Parthenon program revealed that the temple had been carefully constructed to create an optical illusion by using Golden Mean geometrical principles. Now that Plato’s optical spiritual engineering principles have been successfully transferred by Buckminster Fuller into the synergies of a universal holographic chemistry endorsed by the three 1996 Nobel Laureates in Chemistry, the general present understanding of the second law is shown to be inadequate.

Our greatest scientists can be seen to be spiritually hobbled by the entropic yoke, and so are many of our greatest scholars representing the Humanities. Marsilio Ficino during the 15th Century, was head of the revived Academy of Plato in Florence. His work was dedicated to the functioning of Plato’s atomic physics of the soul. Plato’s engineering evil, associated with an obsession with destructive warfare, was defined in his Timaeus as a property of unformed matter within the physical atom. The Classical Greek Epicurean fractal logic science of universal love was about atomistic physics concepts. On the other hand the concept of Liberty within 18th Century American Democracy was constructed upon the principles of physics and geometry, using Sir Isaac Newton’s published physics principles without any knowledge of his unpublished physics principles based upon fractal logic.

The ancient Greek checks and balances associated with Aristotle’s ethical science to guide ennobling government can be considered to apply to the futuristic development of a protective technology to balance a barbaric engineering obsession with nuclear fission. Be that as it may, Plato’s spiritual engineering principles are now firmly employed at the cutting edge of quantum biological research, in which our materialistic reality is but a very small aspect of a far greater holographic reality. We are now presented with a greater environmental science issue than was previously conceivable and we do need the relevant balanced environmental science.

It is illogical for global climate change life science to be kept separate from the fractal functioning of a rain cloud. Confused inadequate entropic environmental policies can be considered a precursor to potential nightmare scenarios. Princeton University advertises its environmental policies as being associated with the policies of the American President Woodrow Wilson. President Wilson established a Maria Montessori school in the White-house from which the engineering of her Golden Gates to the future might be deduced. The President wanted the American political ethos to move from a materialistic basis to a life science basis, because he considered Democracy to be a living thing. However, his choice of Darwinian life science was not compatible with Montessori’s teaching, because Darwin had based his theories upon the second law of thermodynamics, derived from Thomas Mathus’ Principles of Population essay. Montessori had classified the second law of thermodynamics as the greed energy law causing warfare and periodic economic collapse.

Montessori had worked with President Wilson, Alexander Graham Bell, Thomas Eddison and Tielhard de Chardin. De Chardin’s electromagnetic key to open the Golden Gates could only function for all people at the same time, in defiance of Darwinian theory in which the civilised races would exterminate the savage races. At the Nuremberg Nazi War Crimes Tribunal, high ranking German prisoners pointed out that Hitler’s policies were derived from Darwinian Eugenics of which President Woodrow and Alexander Graham Bell were active proponents, as at that time were many eminent English and American scholars.

The distinction between barbaric and ethical electromagnetic engineering principles can be considered to be relevant to the discovery last century that a physics force governing optimal biological growth and development through space-time exists. This optical discovery was reprinted alongside works by such authors as Louis Pasteur and Sir Francis Crick, as an important discovery from the 20th Century World literature. The discovery demonstrated that entropic Darwinian science is unable to generate rigorous computer simulations of futuristic life-forms across 20 million years of space-time, while fractal life science mathematics can do so. The barbaric aspect of this fact is that Western culture remains governed by the second law of thermodynamics, which forbids the existence of a healthy universal fractal logic life force, even when Fullerene chemistry provides rigorous scientific evidence to the contrary.

The research methodology certainly does exist to generate futuristic human survival simulations across evolutionary periods of space-time. By observing such simulations, the nature of the futuristic survival technology would become obvious. We already can deduce the fact that population numbers present no problem within the environment of holographic reality. On the other hand, unbalanced entropic logic not only prevents the application of Plato’s spiritual optical engineering principles, but it also accelerates the destructive chaos we can associate with World War II.

American Plutocracy can be now be seen to be failing to genuinely protect Western culture, however opportunity exists to develop Fullerene technologies from the newly discovered Fullerene medical science. We are becoming aware of the dangers of polluting the greater holographic environment and might investigate further that Platonic ethics was about establishing a science that by harmonising with the fractal universe for its healthy evolution, humans would not become extinct.

At it’s Castle on the Hill in Northern New South Wales, the Science-Art Centre conducts workshops and lectures about the importance of worldwide Fullerene technological research. It considers that the life science company C Sixty, based upon Fullerene synergy discoveries by the three 1996 Nobel Laureates in Chemistry, might be frustrated by the limitations imposed by the entropic logic of global economic rationalisation. The Centre seeks to construct a Social Cradle model that might provide the popular support that Buckminster Fuller considered necessary to ensure human survival rather than oblivion.

Following academic exchanges with universities around the world, the Centre follows Kun Huangs’ advice to nurture the ideas of independent scientists who present concepts based upon the geometries of Classical Greek fractal life science. In August 2010 the physicist Nassim Haramein delivered a lecture at the Centre and was filmed by Gaia Films, which have made many prize winning documentaries, two of these received human rights awards. A Gaia Films spokesperson stated that Hassim Haramein very beautifully and clearly married the knowledge of ancient Western learning and Eastern philosophy into the cutting edge of modern quantum bio-physics.

Fractal logic spirituality in art within an entropic culture was the theme of a Masters research project at Queensland’s Beaudesert Regional Galleries in June 2010. The curator of the Project, Sally Peters receiving a Distinction for her paper, from the University of Tasmania. Buckminster Fuller’s proposed intellectual science-art foundations for the Social Cradle needed to protect the rigorous new Fullerene global medical science can now be seen coming into being. At the Southern Cross University in Northern New South Wales, Dr Amanda Reichet-Brusett of the School of Environmental Science and Management is independently organising a September workshop entitled Exploring the synergies between art and science. Although the controversial definition of synergies contradicting the basis of global Western scientific culture might not have been fully taken into account, none the less, the much needed revision of environmental science can be seen to be emerging once again into Western culture. The Fullerene inspiration for human survival has begun to grow wings.

Copyright © Professor Robert Pope



Source by Robert Pope

30 Mar

Communication Science

Non Verbal communication is more crucial to your success than ever – master it…or be mastered by it!

Research has shown that people with a better understanding of body language are more successful at selling, leading, and getting what they want from any situation. They are more likely to convince people to trust them, and more likely to be perceived as “charismatic” by others.

Why is Non Verbal communication such a tremendous factor to success – and why should you devote extra minutes in your week to mastering it? Here are three solid reasons why:

1. People lie, but their unconscious actions do not

Sigmund Freud, an early believer in the utility of body language, believed, as do many researchers, that although we cannot rely on the truth of words, nonverbal behavior often does project truth. Through body gestures and postures, people express their conscious and subconscious emotions, desires, and attitudes. Body language, therefore, gives us a window into someone’s real intentions, whether they are honest or not.

Intuitively, we can often tell just by looking at someone when they are lying, scared, angry, happy, confident, or upset – but we often encounter people we simply can’t get a “read” on. A mastery of Non Verbal language will give you specific tools to help you identify what gestures, movements, or body parts to focus on when you are evaluating the honesty and credibility of another person. With this same knowledge, you’ll also know how to use these gestures to communicate honesty, credibility, and trust to the people you are dealing with.

2. Better communication; better relationships

Did you know that unless we understand nonverbal body language, we are losing as much as 50% of the message that is being communicated? By increasing your awareness of Non verbal communication, you can read the emotions and attitudes of others you interact with at home and at work. As a result, you will have a greater awareness of all your interpersonal interactions. This increased rapport with, and understanding of, others leads to increased trust and productivity.

The study of Non verbal communication can also help improve others’ understanding of you. The better you are able to transmit messages so that others receive them as they were intended, the more effective you will be. Therefore, be acutely aware of the nonverbal messages you are projecting. You can increase tension and decrease trust simply by projecting negative body movements or by lacking sensitivity in observing the nonverbal communication of others. The “bad vibes” that result can be disastrous to present and future relationships.

3. The language can be mastered

The ability to understand body language is not related to IQ, the ability to take tests, or the grades one makes in school. Studies show that practice makes perfect. People tested for body language comprehension generally score higher on second and subsequent tests than on their first tries.

Here is perhaps the best reason of all for increasing your understanding of Non verbal communication, starting today: You have no excuse not to. Start simply and commit one hour a week to reading about body language and/or analyzing the body language you and others bring to every encounter. In a few months, I guarantee you’ll be consciously shaping your body language to produce the best results!



Source by Syed Adnan

09 Mar

Instant Covert Hypnosis – How to Master the Art and Science of the Handshake Induction

Are you interested in learning the art and science of instant covert hypnosis? Just imagine what you could do with this skill, you could triple your income, seduce the women of your dreams and generally make your life far more easier and exciting.

Today I am going to teach you an advanced instant covert hypnosis technique – The handshake induction. This is a technique that you can use to instantly put someone into a hypnotic trance and anyone with even a passing interest in hypnosis would have heard of this dazzling display of hypnotic artistry.  

To begin reach out and begin shaking your subject’s hand as you normally would. After you have made three typical up and down motions, begin to let go of the subject’s hand, but only for a millisecond, then quickly re-grasp fully. Then release your grasp then quickly re-grasp applying slightly more pressure with one finger than the rest. Release a third time then re- grasp one last time applying slight pressure with a different finger.

Now at the same time that you are doing these motions, gaze directly in your subject’s eyes and then as you are performing the final grasp, move your gaze slightly above their head and behind them, as if you were looking through them. What this process does is induce an altered state through confusion.

Most handshakes are normal and most people have shaken hands hundreds of times. But this handshake is different, it unusual behavior is different it confuses your subject making them go into their head to try figure out what to do. Basically this instant covert hypnosis technique knocks them off their mental balance and put them into an altered state. Did you enjoy learning this technique because I have many more to teach you and you can learn them by following the links below.



Source by David St. Claire

28 Feb

Data Science: The Path to Unlocking the Best Paying Job Roles in the Near Future

“Data is the new gold mine!” The statement holds huge significance when it comes to today’s business world. The current corporate arena is largely operated based on data-driven decisions. You might be surprised to know that each day, about 2.5 quintillion bytes of data is being generated. That’s certainly a massive amount, isn’t it! Now just think what would happen if owing to some system malfunction or any other issue, all this data gets lost. It would be a huge mess for businesses and would cost them a lot. This is the key reason why there is a substantial demand for Data Scientists in the job market. In fact, the job profile of a ‘data scientist’ is already declared to be the most sought after profession in the 21st century. It’s hence the right time for you to ride the growth and build a career that you will be proud of.

Wide Acceptance of Data Science

With Big Data being implemented in almost all spheres of our lives and in the near future, there wouldn’t be any business organization that can afford to ignore the importance of data science. If they do, chances are high that they would lose out on their competition. Smaller companies with adequate data handling skills will triumph over larger corporations with limited data knowledge and experience. Even the start-ups are not losing any opportunity of making data-based decisions. The business world has very well understood the relevance of data science in the modern scenario. If this enormous pool of data can be examined and calculated using a scientific approach, it can help the organizations derive to meaningful conclusions, which directly means better business decisions, more profits, higher ROI.

More Data, More Jobs, More Salary

Be it start-ups or giant corporations, no company exists in the modern age that doesn’t rely on data and analytics for taking business decisions. As per the reports published by McKinsey Global Institute, about 40 zettabytes of data would cover up the internet by the year 2020. This will facilitate a sharp rise in demand for Big Data and Data Science professionals. With more time, the popularity of Big Data shall reach a new level as more companies would start adopting this lucrative opportunity for business growth. With the high demand of qualified professionals and lower supply of the same, as per the economic principles, the salary structure would be quite attractive. It is a given fact that the data scientists are the ones who get higher paying jobs as compared to other engineers and people working on similar job profiles.

Besides, when we are talking about data, how can we miss the opportunity to show some data related to the profession of a Data Scientist? According to a report published by an online education portal, there has been a dramatic rise noticed in the listing and application for jobs related to Data Science. There is a whopping 200% year on year increase in search for ‘Data Science’ jobs, while at least 50% year on year rise has been noticed in the listing of such job requirements. It is hence, evident that Data Science is here not only to stay and survive but to thrive and rule.

Higher Salary Potential

Data Analytics skills are the demand of the hour. Almost every industry is in dire need of skilled professionals who have adequate knowledge to manage the data properly and conclude to meaningful results that will enable businesses to take their operations to an entirely new level. Having said that, it is pretty clear that only trained professionals can gain maximum exposure in this data-driven era and enjoy greater salary structure.

According to a research report published by an international organization, the average annual salary of data scientists globally in the year 2015 was $130,000. Now, the demand has grown even higher, and the salary structure has also increased to a greater extent. In India, the average salary structure for Data Science professionals is quite lucrative. An Analytics professional in India can take in as much as INR 15 lakh per annum in the initial years which goes further higher with experience. The most interesting factor is that Data Science is not only popular in India, but other foreign markets are also seeking highly trained professionals. Hence, if you have the talent and relevant knowledge and are ambitious enough to grow and succeed, Data Science offers you the perfect opportunity to realize your dreams.

At TimesPro, we have partnered with industry experts like Google, Intel, Flipkart, and Fractal Analytics to create a results-driven, comprehensive professional learning program on Data Science, encompassing the core concepts of Data Science, Machine Learning, and Artificial Intelligence. At TimesPro, a Top-Ranked Data Science Institute in Bangalore, we promote a learning environment where students are not only introduced to the essentials of Data Science but are rather prepared to step into the industry with immense confidence and amplified potential. We believe that it is the constant practice that makes an individual adept at his/her job role. That’s why, at our campus, we ensure that our students have enough industry exposure and have in-depth insights into the deep-seated challenges, as well as their solutions. The future world is about to be extremely dependent on how we use data. Hence, our aim at TimesPro is to create industry-ready professionals who can utilize the mounting opportunity and rise with the growth of the industry.



Source by Alok Mishra

07 Feb

Science Fair Projects to Make Everybody Happy

Science fair projects – Kids think they should be fun. Teachers think they should be educational. Parents just want them to be fast and easy. Since students, teachers and parents are all involved in the process of getting ready for the science fair, most of the time, science projects have to be all of the above!

As a result, finding the perfect science fair project can be difficult. Here are five steps to finding a project that will make everybody happy.

1. Know what kind of science project is required. There are five kinds of projects, and many a student has had their project idea rejected because of a science technicality. Make sure you know if the science teacher requires an experimental (investigatory) project, a demonstration of a science principle, a report on a subject in science, a collection of items, or a scientific model. Most science fairs require an experiment, which has an hypothesis, tests the hypothesis following the scientific method, and arrives at a conclusion.

2. Find out what interests the student. What does your child do in her spare time? Does he ride horses, is she a soccer player? Is music a passion, or do you have a budding engineer on your hands? If a student is already interested in a subject, learning more about it will come naturally.

3. Determine the budget for time – and money. If your science fair is next week, you need to search for a fast and easy science project that can be done without ordering supplies from Outer Botswana. If you can’t afford special chemicals or science equipment, then you’ll need to focus on projects that can use materials easily found in your home.

4. Use all available resources for the science project search. Head to the library and look at the books on science projects. You can also use the internet. Go to your search engine and type “science project on vitamin C” or “science experiment on insulation”. Note, however, that many books and websites have demonstration projects instead of experiments. So, again, be careful that you find the right type of project.

5. Make a list of possible projects, and work together to choose the best one!



Source by Kayla Fay

01 Feb

Mathematics is the Science of Patterns

Science has been a way of Man interpreting his environment and making an acceptable law that those who were interested to look in to these things could follow on and add their own experience. Art on the other hand has always been seen as Man’s way expressing himself abstractly without any particle constraints and is often deemed as the opposite of Science. But I have come to see the effects of both being felt on the other. This is so based on the fact that I am an intellectual that has been deeply rooted in the Sciences but yet I am also a man who loves to express himself in deep thought or discourse, poem, song or otherwise. To go one step further, my area of expertise and physical gifting is both in the area of Mathematics. As much as I have been gifted and have succeeded academically in Mathematics, my love and fascination has always been on one of the most intriguing tools Man has been able to fashion, The Computer. I have always seen this tool as the perfect marriage between Science and Art! It allows the most complex patterns to be printed on fabric and other materials that ordinarily would be unthinkable to do so, such as glass and plastic. Not only does this tool allow such complex replication such as printing which is not Art (the artist may say) but they are having the ability to analyze the same replicated patterns not only with respect to how they are seen (the most used form of conscious human perception) but other factors that human perception could never fathom conscious or unconscious. It is also no strange coincidence that the Computer is based on the fundamentals of Mathematics. It is worthwhile to go into some detail about how Mathematics the fundamental element in Computer Science, that which motivated the Computer allowed us to encapsulate from the very basic to incomprehensibly complex.

The very structure of Mathematics is based on patterns formed in and around Man’s own existence. Mathematics is its earliest forms is equivalent to Logic and Reasoning and the concept of quantity is not the obvious, but is the only way that Man has been able to make a strong case for Logical Statements and Reasons why things are the way they are. Strange is it? But it is true the concept of Numbers has opened the senses of Man to interpret, predict, encapsulate, simulate and demonstrate almost all forms of Nature. Art on the other hand is by no means inferior, since the natural expression that comes from Artistic sculpting, painting, writing, dreaming and imagination can never be reproduced or encapsulated by Science and specifically the Science of Numbers. It gives us a timely reminder that Man is definitely unique and lord of his domain as far as his environment is concerned. And yet with the advances of the Pattern Finding Tool he can come really close to doing so.

Computer Science is linked to Mathematics through basic pattern of counting. This system that has help the computer conquer some of the most complicated phenomenon such sounds, artistic printed designs and evolved to include animations (a mass improvement to Technicolor give what we know as Computer Generated Images), receiving these sounds, pictures (advanced scanning and machine reading in character recognition or machine sight), texture to in detail analyzing movement and position. The use of the basic “Black and White” Binary Number Pattern is the crux of the whole matter that allows us to see color of our computer screen. Binary is also pattern that Man used to conquer Reasoning where the 1 and 0 became equated with “True” or “False”. Computer Science is based on the whole Mathematical Logic along with the advances in Silicon Chemistry and other semiconductor designs extend that functionality to include millions, billions and even Trillions of Bits of information to be considered thus enhancing the picture so to speak. The advances in Nuclear Technologies have been interestingly merged with the Computer’s Analytical Reasoning capabilities to produce very precise Actuators and Sensors in the discipline of Robotics and Automated Theory. All this analysis, accuracy and acceleration seen in a computer system is basically attributed to the Binary Number Pattern platform. We take each number of this system to recognize one of two states: “On” or “Off”. And from this rationale, we got basic components of computing called switches. Electronics also took a path of its own to further tame electricity with the use of relays. However the ultimate training of the natural phenomenon of flowing electrons came which the discovery of the Transistor. This has since then gave over the Silicon Age and we have much fast and more capable machines being able of processing Trillions of pieces of information of one particular subject.

But my appreciation of Mathematics as in the form of Computer Science Advances is not based on the academic success that I have had but on that of my own physical limitations. What fascinates me most and I hope I have also drawn your attention to it as well, is how remarkably well our own brains work on this concept of Black or White. I believe that what Man has only been able to do quite recently with the computer has been hard-wired into humans from the beginning. Being male, not that personally feel there is any correlation, I have some difficulty distinguishing, remembering and naming colors. Contrastingly so, I am gifted with most immaculate photographic memory! I can recall strings of numbers, from phone numbers, ATM PINs, ID numbers to just random numbers I see I can recall them. I can do the same with words, positional directions (eg. if I go on a bus ride, I would be able to drive back the way we came in the bus without using the map and from only being on the route one time) and colors believe it or not. I recognized my deficiencies as motivation to prove how well our brains work and at the same time show how impossible it would be to mimic even though based on the same basics we use in Mathematics and Computer Science.

Color is a fascinating concept that has meaning to us only because of the receptacles of the eyes and the processing power of our brains. Without our eyes and brains we have no idea how this world would look. Our eyes are the sensors of our bodies and our brains the computer. We know from science that white light reflects differently and is refracted when passing back through certain molecules of matter however the many different spectrums of light that can be seen can be encapsulated by the theory of Black and White. I love to always relate this classical experience I had (several times might I add), that motivated me to prove this using Machine Sight specifically identify certain colors. The first time I realized this phenomenon I was at a conference where two of my colleagues whose specialization was in Computerized Learning tested my ability to observe color changes. It was the then Windows Vista logo of the flag in the screen saver. When they asked me what color is square of the flag had I honestly could not see any differences between any of the frames. But when they started to point out each color was different the color seemingly looked dissimilar. I recognized then that my problem was not observing color but distinguishing it. To my eye color is not as fancy as many artistic types may make it with all the several naming schemes like light, dark, off, etc., etc. not to mention special names that mean the same thing like purple and violet. But these naming schemes are useful for Machine Learning of colors, but confuse the appreciation of colors in reality. When I look at a color I tend to classify it based on the Black or White Principle or as one would say a Light Color or a Dark Color and that is it! If someone asks me what color it is unless it is from the basic set of White-Black+RBG and subsequent combinations that we are taught in elementary school and up: Yellow, Green, Brown; I say I do not know. If some gives me a ‘heads-up’ I remember. So I say am not color-blind just color-lazy. But aspect of Color-Laziness where one does not implement color sorting faculties other than the basic Binary of colors, to implement and improve on this laziness using Computer Storage and Processing Power. My second and all other noticeable experiences of motivation further brings me to another aspect I will use to implement Computer Color Awareness, that is off Relative Color. For instance, when asked to borrow a pen that had a blue casing, I automatically assumed that the pen was also a blue-inked pen, also I asked for a blue-inked pen, I wrote with the pen assuming it was blue. However looking further back in what I was writing I noticed that the ink changed color from when I started to write with the new pen. I was totally unaware that the pen indeed was a black-inked pen in a blue casing only until I compared it with previous writing. Still, my Color-Lazy brain still needed convincing and it was only when I compared both colors on the White Paper (we usually write on). You may ask what is so special about the White Paper comparison, I will say it is necessary for a color-lazy brain where even the simplest of colors are skimmed over, they can only compare colors when they have a base-background and they compare colors by focusing on the base either white or black or for less lazy brains a contrasting color. My postulation is a computer who only has its database is Color-Lazy when its subroutine for color recognition is not running. It has the ability to have the wavelengths of light to be sensed by its sensor but without analysis it has not comprehension of that color.

So my plan of implementation gives us hope to process this life of fancy assorted cashews to make sense of how we observe color. I plan to do the same for Texture awareness. How you say? Go Figure!

Mathematics is the Power being physically aware and reasoning by taking record of what is and what is not as far you can be aware with respect to sight, sound, smell, touch and taste.



Source by Julian Roach