Portions of the following post were taken from an article by Rob Spiegel publishing through Design News Daily.

Two former Apple design engineers – Anna Katrina Shedletsky and Samuel Weiss have leveraged machine learning to help brand owners improve their manufacturing lines. The company, Instrumental , uses artificial intelligence (AI) to identify and fix problems with the goal of helping clients ship on time. The AI system consists of camera-equipped inspection stations that allow brand owners to remotely manage product lines at their contact manufacturing facilities with the purpose of maximizing up-time, quality and speed. Their digital photo is shown as follows:

Shedletsky and Weiss took what they learned from years of working with Apple contract manufacturers and put it into AI software.

“The experience with Apple opened our eyes to what was possible. We wanted to build artificial intelligence for manufacturing. The technology had been proven in other industries and could be applied to the manufacturing industry,   it’s part of the evolution of what is happening in manufacturing. The product we offer today solves a very specific need, but it also works toward overall intelligence in manufacturing.”

Shedletsky spent six (6) years working at Apple prior to founding Instrumental with fellow Apple alum, Weiss, who serves Instrumental’s CTO (Chief Technical Officer).  The two took their experience in solving manufacturing problems and created the AI fix. “After spending hundreds of days at manufacturers responsible for millions of Apple products, we gained a deep understanding of the inefficiencies in the new-product development process,” said Shedletsky. “There’s no going back, robotics and automation have already changed manufacturing. Intelligence like the kind we are building will change it again. We can radically improve how companies make products.”

There are number examples of big and small companies with problems that prevent them from shipping products on time. Delays are expensive and can cause the loss of a sale. One day of delay at a start-up could cost $10,000 in sales. For a large company, the cost could be millions. “There are hundreds of issues that need to be found and solved. They are difficult and they have to be solved one at a time,” said Shedletsky. “You can get on a plane, go to a factory and look at failure analysis so you can see why you have problems. Or, you can reduce the amount of time needed to identify and fix the problems by analyzing them remotely, using a combo of hardware and software.”

Instrumental combines hardware and software that takes images of each unit at key states of assembly on the line. The system then makes those images remotely searchable and comparable in order for the brand owner to learn and react to assembly line data. Engineers can then take action on issues. “The station goes onto the assembly line in China,” said Shedletsky. “We get the data into the cloud to discover issues the contract manufacturer doesn’t know they have. With the data, you can do failure analysis and reduced the time it takes to find an issue and correct it.”


Artificial intelligence (AI) is intelligence exhibited by machines.  In computer science, the field of AI research defines itself as the study of “intelligent agents“: any device that perceives its environment and takes actions that maximize its chance of success at some goal.   Colloquially, the term “artificial intelligence” is applied when a machine mimics “cognitive” functions that humans associate with other human minds, such as “learning” and “problem solving”.

As machines become increasingly capable, mental facilities once thought to require intelligence are removed from the definition. For instance, optical character recognition is no longer perceived as an example of “artificial intelligence”, having become a routine technology.  Capabilities currently classified as AI include successfully understanding human speech,  competing at a high level in strategic game systems (such as chess and Go), autonomous cars, intelligent routing in content delivery networks, military simulations, and interpreting complex data.


Some would have you believe that AI IS the future and we will succumb to the “Rise of the Machines”.  I’m not so melodramatic.  I feel AI has progressed and will progress to the point where great time saving and reduction in labor may be realized.   Anna Katrina Shedletsky and Samuel Weiss realize the potential and feel there will be no going back from this disruptive technology.   Moving AI to the factory floor will produce great benefits to manufacturing and other commercial enterprises.   There is also a significant possibility that job creation will occur as a result.  All is not doom and gloom.

Various definitions of product lifecycle management or PLM have been issued over the years but basically: product lifecycle management is the process of managing the entire lifecycle of a product from inception, through engineering design and manufacture, to service and disposal of manufactured products.  PLM integrates people, data, processes and business systems and provides a product information backbone for companies and their extended enterprise.

“In recent years, great emphasis has been put on disposal of a product after its service life has been met.  How to get rid of a product or component is extremely important. Disposal methodology is covered by RoHS standards for the European Community.  If you sell into the EU, you will have to designate proper disposal.  Dumping in a landfill is no longer appropriate.

Since this course deals with the application of PLM to industry, we will now look at various industry definitions.

Industry Definitions

PLM is a strategic business approach that applies a consistent set of business solutions in support of the collaborative creation, management, dissemination, and use of product definition information across the extended enterprise, and spanning from product concept to end of life integrating people, processes, business systems, and information. PLM forms the product information backbone for a company and its extended enterprise.” Source:  CIMdata

“Product life cycle management or PLM is an all-encompassing approach for innovation, new product development and introduction (NPDI) and product information management from initial idea to the end of life.  PLM Systems is an enabling technology for PLM integrating people, data, processes, and business systems and providing a product information backbone for companies and their extended enterprise.” Source:  PLM Technology Guide

“The core of PLM (product life cycle management) is in the creation and central management of all product data and the technology used to access this information and knowledge. PLM as a discipline emerged from tools such as CAD, CAM and PDM, but can be viewed as the integration of these tools with methods, people and the processes through all stages of a product’s life.” Source:  Wikipedia article on Product Lifecycle Management

“Product life cycle management is the process of managing product-related design, production and maintenance information. PLM may also serve as the central repository for secondary information, such as vendor application notes, catalogs, customer feedback, marketing plans, archived project schedules, and other information acquired over the product’s life.” Source:  Product Lifecycle Management

“It is important to note that PLM is not a definition of a piece, or pieces, of technology. It is a definition of a business approach to solving the problem of managing the complete set of product definition information-creating that information, managing it through its life, and disseminating and using it throughout the lifecycle of the product. PLM is not just a technology, but is an approach in which processes are as important, or more important than data.” Source:  CIMdata

“PLM or Product Life Cycle Management is a process or system used to manage the data and design process associated with the life of a product from its conception and envisioning through its manufacture, to its retirement and disposal. PLM manages data, people, business processes, manufacturing processes, and anything else pertaining to a product. A PLM system acts as a central information hub for everyone associated with a given product, so a well-managed PLM system can streamline product development and facilitate easier communication among those working on/with a product. Source:  Aras

A pictorial representation of PLM may be seen as follows:

Hopefully, you can see that PLM deals with methodologies from “white napkin design to landfill disposal”.  Please note, documentation is critical to all aspects of PLM and good document production, storage and retrieval is extremely important to the overall process.  We are talking about CAD, CAM, CAE, DFSS, laboratory testing notes, etc.  In other words, “the whole nine yards of product life”.   If you work in a company with ISO certification, PLM is a great method to insure retaining that certification.

In looking at the four stages of a products lifecycle, we see the following:

Four Stages of Product Life Cycle—Marketing and Sales:

Introduction: When the product is brought into the market. In this stage, there’s heavy marketing activity, product promotion and the product is put into limited outlets in a few channels for distribution. Sales take off slowly in this stage. The need is to create awareness, not profits.

The second stage is growth. In this stage, sales take off, the market knows of the product; other companies are attracted, profits begin to come in and market shares stabilize.

The third stage is maturity, where sales grow at slowing rates and finally stabilize. In this stage, products get differentiated, price wars and sales promotion become common and a few weaker players exit.

The fourth stage is decline. Here, sales drop, as consumers may have changed, the product is no longer relevant or useful. Price wars continue, several products are withdrawn and cost control becomes the way out for most products in this stage.

Benefits of PLM Relative to the Four Stages of Product Life:

Considering the benefits of Product Lifecycle Management, we realize the following:

  • Reduced time to market
  • Increase full price sales
  • Improved product quality and reliability
  • Reduced prototypingcosts
  • More accurate and timely request for quote generation
  • Ability to quickly identify potential sales opportunities and revenue contributions
  • Savings through the re-use of original data
  • frameworkfor product optimization
  • Reduced waste
  • Savings through the complete integration of engineering workflows
  • Documentation that can assist in proving compliance for RoHSor Title 21 CFR Part 11
  • Ability to provide contract manufacturers with access to a centralized product record
  • Seasonal fluctuation management
  • Improved forecasting to reduce material costs
  • Maximize supply chain collaboration
  • Allowing for much better “troubleshooting” when field problems arise. This is accomplished by laboratory testing and reliability testing documentation.

PLM considers not only the four stages of a product’s lifecycle but all of the work prior to marketing and sales AND disposal after the product is removed from commercialization.   With this in mind, why is PLM a necessary business technique today?  Because increases in technology, manpower and specialization of departments, PLM was needed to integrate all activity toward the design, manufacturing and support of the product. Back in the late 1960s when the F-15 Eagle was conceived and developed, almost all manufacturing and design processes were done by hand.  Blueprints or drawings needed to make the parts for the F15 were created on a piece of paper. No electronics, no emails – all paper for documents. This caused a lack of efficiency in design and manufacturing compared to today’s technology.  OK, another example of today’s technology and the application of PLM.

If we look at the processes for Boeings DREAMLINER, we see the 787 Dreamliner has about 2.3 million parts per airplane.  Development and production of the 787 has involved a large-scale collaboration with numerous suppliers worldwide. They include everything from “fasten seatbelt” signs to jet engines and vary in size from small fasteners to large fuselage sections. Some parts are built by Boeing, and others are purchased from supplier partners around the world.  In 2012, Boeing purchased approximately seventy-five (75) percent of its supplier content from U.S. companies. On the 787 program, content from non-U.S. suppliers accounts for about thirty (30) percent of purchased parts and assemblies.  PLM or Boeing’s version of PLM was used to bring about commercialization of the 787 Dreamliner.



July 7, 2017

I’m pretty sure most people, like me, ALWAYS consider the costs of purchased items.  I do NOT buy a pack of bubble gum without asking “how much” nor do I envy those who have enough money to purchase without consideration of “how much”.   The list below is totally random but does represent the fact year after year things we need and want increase at an alarming rate. (At least in my opinion.)

  • One dozen organic eggs- $3.50.
  • Hatsan Nova 0.22 Air Rifle–$749.00
  • IRS estimated value of Michael Jackson’s estate– $434.00 million
  • Average cost of one American wedding–$26,700.00. (I’m blown away by this one. Happy I have all boys.)
  • Wedding statistics released in 2017 by The Knot show the price brides are willing to pay for their gowns has gone up. The 2016 national average spent was $1,564, and the year before it was $1,469. Apart from venue, photographer, and planner, the wedding dress was one of the costliest items of the whole event.
  • According to Cost Helper, traditional metal dental braces cost between $3,000and $7,500. The duration of treatment ranges from one to three years depending on the how severe the problem is for the patient.
  • Estimated costs to decommission a nuclear reactor in France–$322.00 million
  • Stock bonus given to Glenn Kellow, coal executive who led Peabody Energy through bankruptcy-$15.00 million.
  • Amtrak locomotive–$6.50 million.
  • One WWII B-17 in 1945–$238,329.00
  • Apple i-phone 6–$549.00
  • Month of fitness classes in Ohio-$129.00
  • One barrel of Brent Crude Oil as of 7 July 2017–$49.15
  • A 2008 prediction of one gallon of gasoline in 2015–$9.15.
  • The cost of one day in the hospital.
    • State/local government hospitals–$1,878
    • Nonprofit hospitals–$2,289
    • For-profit hospitals–$1791
  • Each university online course cost around $300 or $400 per credit hour. On top of that, several classes had application fees in the $30-$50 range.
  • Investments in US wind projects over the past ten years–$128.00 billion.
  • Global airport security market by 2023-$12.72 billion.
  • Cost of rumored purchase of home in LA for Beyoncé and JayZ– $93 million for 30,000 square feet, 10 bedrooms, 20 bathrooms.
  • Next generation wind technology for R&D through 2026–$36.90 billion.
  • Johnny Depp’s yacht–$33.00
  • The average rent for a two-bedroom apartment in Manhattan is $3,895, according to the January 2015 Citi habitat market report.

Seventy-one percent (71%) of the world’s population remain low-income or poor, living off  ten ($10) or less a day, according to a new Pew Research Center report that looked at changes in income for 111 countries between 2001 and 2011.  On July 4, 1776, we claimed our independence from Britain and Democracy was born. Every day thousands leave their homeland to come to the “land of the free and the home of the brave” so they can begin their American Dream.  That American Dream has allowed our people to succeed, fail, and try again.  Without our system of government, even with all of its flaws and shortcomings, we just might be one of those third-world countries in which ten dollars per day is the norm.  Happy Birthday America.


June 26, 2017

I want to start this discussion with defining collaboration.  According to Merriam-Webster:

  • to work jointly with others or together especially in an intellectual endeavor.An international team of scientists collaborated on the study.
  • to cooperate with or willingly assist an enemy of one’s country and especially an occupying force suspected of collaborating with the enemy
  • to cooperate with an agency or instrumentality with which one is not immediately connected.

We are going to adopt the first definition to work jointly with others.  Well, what if the “others” are robotic systems?

Collaborative robots, or cobots as they have come to be known, are robot robotic systems designed to operate collaboratively or in conjunction with humans.  The term “Collaborative Robot is a verb, not a noun. The collaboration is dependent on what the robot is doing, not the robot itself.”  With that in mind, collaborative robotic systems and applications generally combine some or all of the following characteristics:

  • They are designed to be safe around people. This is accomplished by using sensors to prevent touching or by limiting the force if the system touches a human or a combination of both.
  • They are often relatively light weight and can be moved from task to task as needed. This means they can be portable or mobile and can be mounted on movable tables.
  • They do not require skill to program. Most cobots are simple enough that anyone who can use a smartphone or tablet can teach or program them. Most robotic systems of this type are programmed by using a “teach pendent”. The most-simple can allow up to ninety (90) programs to be installed.
  • Just as a power saw is intended to help, not replace, the carpenter, the cobot is generally intended to assist, not replace, the production worker. (This is where the collaboration gets its name. It assists the human is accomplishing a task.)  The production worker generally works side-by-side with the robot.
  • Collaborative robots are generally simpler than more traditional robots, which makes them cheaper to buy, operate and maintain.

There are two basic approaches to making cobots safe. One approach, taken by Universal, Rethink and others, is to make the robot inherently safe. If it makes contact with a human co-worker, it immediately stops so the worker feels no more than a gentle nudge. Rounded surfaces help make that nudge even more gentle. This approach limits the maximum load that the robot can handle as well as the speed. A robot moving a fifty (50) pound part at high speed will definitely hurt no matter how quickly it can stop upon making contact.

A sensor-based approach allows collaborative use in faster and heavier applications. Traditionally, physical barriers such as cages or light curtains have been used to stop the robot when a person enters the perimeter. Modern sensors can be more discriminating, sensing not only the presence of a person but their location as well. This allows the robot to slow down, work around the person or stop as the situation demands to maintain safety. When the person moves away, the robot can automatically resume normal operation.

No discussion of robot safety can ignore the end-of-arm tooling (EOAT).  If the robot and operator are handing parts back and forth, the tooling needs to be designed so that, if the person gets their fingers caught, they can’t be hurt.

The next digital photographs will give you some idea as to how humans and robotic systems can work together and the tasks they can perform.

The following statistics are furnished by “Digital Engineering” February 2017.

  • By 2020, more than three (3) million workers on a global basis will be supervised by a “robo-boss”.
  • Forty-five (45) percent of all work activities could be automated using already demonstrated technology and fifty-nine (59) percent of all manufacturing activities could be automated, given technical considerations.
  • At the present time, fifty-nine (59) percent of US manufacturers are using some form of robotic technology.
  • Artificial Intelligence (AI), will replace sixteen (16) percent of American jobs by 2025 and will create nine (9) percent of American jobs.
  • By 2018, six (6) billion connected devices will be used to assist commerce and manufacturing.

CONCLUSIONS: OK, why am I posting this message?  Robotic systems and robots themselves WILL become more and more familiar to us as the years go by.  The usage is already in a tremendous number of factories and on manufacturing floors.  Right now, most of the robotic work cells used in manufacturing are NOT collaborative.  The systems are SCARA (The SCARA acronym stands for Selective Compliance Assembly Robot Arm or Selective Compliance Articulated Robot Arm.) type and perform a Pick-and-place function or a very specific task such as laying down a bead of adhesive on a plastic or metal part.  Employee training will be necessary if robotic systems are used and if those systems are collaborative in nature.  In other words—get ready for it.  Train for this to happen so that when it does you are prepared.


June 13, 2017

Thinking Fast and Slow is a remarkably well-written book by Dr. Daniel Kahneman. Then again why would it not be?  Dr. Kahneman is a Nobel Laureate in Economics. Dr. Kahneman takes the reader on a tour of the mind and explains the two systems that drive the way we think.   System One (1) is fast, intuitive, and emotional.  System Two (2) is considerably slower, more deliberative, and more logical.   He engages the reader in a very lively conversation about how we think and reveals where we can and cannot trust our intuitions and how we tap into the benefits of slow thinking.  One great thing about the book is how he offers practical and enlightening insights into how choices are made in both the corporate world and our personal lives.  He provides different techniques to guard against the mental glitches that often get us into trouble.  He uses multiple examples in each chapter that demonstrate principles of System One and System Two.  This greatly improves the readability of the book and makes understanding much more possible.

Human irrationality is Kahneman’s great theme. There are essentially three phases to his career.  First, he and he coworker Amos Tversky devised a series of ingenious experiments revealing twenty plus “cognitive biases” — unconscious errors of reasoning that distort our judgment of the world. Typical of these is the “anchoring effect”: our tendency to be influenced by irrelevant numbers that we happen to be exposed to.  (In one experiment, for instance, experienced German judges were inclined to give a shoplifter a longer sentence if they just rolled a pair of dice loaded to give a high number.) In the second phase, Kahneman and Tversky showed that people making decisions under uncertain conditions do not behave in the way that economic models have traditionally assumed; they do not “maximize utility.” Both researchers then developed an alternative account of decision making, one more faithful to human psychology, which they called “prospect theory.” (It was for this achievement that Kahneman was awarded the Nobel.) In the third phase of his career, mainly after the death of Tversky, Kahneman delved into “hedonic psychology”: the science of happiness, its nature and its causes. His findings in this area have proven disquieting.   One finding because one of the key experiments involved a deliberately prolonged colonoscopy.  (Very interesting chapter.)

“Thinking, Fast and Slow” spans all three of these phases. It is an astonishingly rich book: lucid, profound, full of intellectual surprises and self-help value. It is consistently entertaining and frequently touching, especially when Kahneman is recounting his collaboration with Tversky. (“The pleasure we found in working together made us exceptionally patient; it is much easier to strive for perfection when you are never bored.”).  So, impressive is its vision of flawed human reason that the New York Times columnist David Brooks recently declared that Kahneman and Tversky’s work “will be remembered hundreds of years from now,” and that it is “a crucial pivot point in the way we see ourselves.” They are, Brooks said, “like the Lewis and Clark of the mind.”

One of the marvelous things about the book is how he captures multiple references.  Page after page of references are used in formulating the text.  To his credit—he has definitely done his homework and years of research into the subject matter propels this text as one of the most foremost in the field of decision making.

This book was the winner of the National Academy of Sciences Best Book Award and the Los Angeles Times Book Prize.  It also was selected by the New York Times Review as one of the ten (10) best books of 2011.


Daniel Kahneman is a Senior Scholar at the Woodrow Wilson School of Public and International Affairs. He is also Professor of Psychology and Public Affairs Emeritus at the Woodrow Wilson School, the Eugene Higgins Professor of Psychology Emeritus at Princeton University, and a fellow of the Center for Rationality at the Hebrew University in Jerusalem.

He was awarded the Nobel Prize in Economic Sciences in 2002 for his pioneering work integrating insights from psychological research into economic science, especially concerning human judgment and decision-making under uncertainty. Much of this work was carried out collaboratively with Amos Tversky.

In addition to the Nobel prize, Kahneman has been the recipient of many other awards, among them the Distinguished Scientific Contribution Award of the American Psychological Association (1982) and the Grawemeyer Prize (2002), both jointly with Amos Tversky, the Warren Medal of the Society of Experimental Psychologists (1995), the Hilgard Award for Career Contributions to General Psychology (1995), and the Lifetime Contribution Award of the American Psychological Association (2007).

Professor Kahneman was born in Tel Aviv but spent his childhood years in Paris, France, before returning to Palestine in 1946. He received his bachelor’s degree in psychology (with a minor in mathematics) from Hebrew University in Jerusalem, and in 1954 he was drafted into the Israeli Defense Forces, serving principally in its psychology branch.  In 1958, he came to the United States and earned his Ph.D. in Psychology from the University of California, Berkeley, in 1961.

During the past several years, the primary focus of Professor Kahneman’s research has been the study of various aspects of experienced utility (that is, the utility of outcomes as people actually live them).


This is one book I can definitely recommend to you but one caution—it is a lengthy book and at times tedious.  His examples are very detailed but contain subject matter that we all can relate to.  The decision-making process for matters confronting everyone on an everyday are brought to life with pros and cons being the focus.  You can certainly tell he relies upon probability theory in explaining the choices chosen by individuals and how those choices may be proper or improper.  THIS IS ONE TO READ.


June 10, 2017

In 2013 my mother died of Alzheimer’s disease.  She was ninety-two (92) years old.  My father suffered significant dementia and passed away in 2014.  He was ninety-three (93) and one day.  We provided a birthday cake for him but unfortunately, he was unable to eat because he did not understand the significance and had no appetite remaining at all. Dementia is an acquired condition characterized by a decline in at least two cognitive domains (e.g., loss of memory, attention, language, or visuospatial or executive functioning) that is severe enough to affect social or occupational functioning. The passing of both parents demanded a search for methodologies to prolong cognitive ability. What, if anything, can we do to remain “brain healthy” well into our eighties and nineties?  Neurologists tell us we all will experience diminished mental abilities as we age but can we lengthen our brain’s ability to reason and perform?  The answer is a resounding YES.  Let’s take a look at activities the medical profession recommends to do just that.

  • READ—What is the difference between someone who does not know how to read and someone who does know but never cracks a book? ANSWER: Absolutely nothing.   If the end result is knowledge and/or pleasure gained, they both are equal.  Reading books and other materials with vivid imagery is not only fun, it also allows us to create worlds in our own minds. Researchers have found that visual imagery is simply automatic. Participants were able to identify photos of objects faster if they’d just read a sentence that described the object visually, suggesting that when we read a sentence, we automatically bring up pictures of objects in our minds. Any kind of reading provides stimulation for your brain, but different types of reading give different experiences with varying benefits. Stanford University researchers have found that close literary reading in particular gives your brain a workout in multiple complex cognitive functions, while pleasure reading increases blood flow to different areas of the brain. They concluded that reading a novel closely for literary study and thinking about its value is an effective brain exercise, more effective than simple pleasure reading alone.
  • MAKE MORE MISTAKES—Now, we are talking about engaging life or JUST DO IT. Every endeavor must be accompanied by calculating the risks vs. reward always keeping safety and general well-being in mind.  It took me a long time to get the courage to write and publish but the rewards have been outstanding on a personal level.
  • LEARN FROM OTHER’S MISTAKES—Less painful than “learning the hard way” but just as beneficial. Reading about the efforts of successful people and the mistakes they made along the way can go a long way to our avoiding the same pitfalls.
  • LEARN TO CONTROL YOUR BREATHING—This one really surprises me. Medical textbooks suggest that the normalrespiratory rate for adults is only 12 breaths per minute at rest. Older textbooks often provide even smaller values (e.g., 8-10 breaths per minute). Most modern adults breathe much faster (about 15-20 breaths per minute) than their normal breathing frequency. The respiratory rates in the sick persons are usually higher, generally about 20 breaths/min or more. This site quotes numerous studies that testify that respiratory rates in terminally sick people with cancer, HIV-AIDS, cystic fibrosis and other conditions is usually over 30 breaths/min.  Learning to control respiratory rate is one factor in providing a healthy brain.
  • EXERCISE-– This seems to be a no-brainer (pardon the pun) but thousands, maybe hundreds of thousands, of people NEVER exercise. For most healthy adults, the Department of Health and Human Services recommends these exercise guidelines: Aerobic activity. Get at least 150 minutes of moderate aerobic activity or 75 minutes of vigorous aerobic activity a week, or a combination of moderate and vigorous activity.  That is the minimum.
  • VISUALIZE YOUR OUTCOME—You have heard this before from world-class athletes. Picture yourself accomplishing the goal or goals you have established.  Make winning a foregone conclusion.
  • FOCUS ON THE LITTLE THINGS—For want of a nail the shoe was lost. For want of a shoe the horse was lost. For want of a horse the rider was lost. You have often heard ‘don’t sweat the small stuff’.  People who accomplish pay attention to detail.
  • WRITE—Nothing can clear the mind like writing down your thoughts. You have to organize, plan, visualize and execute when writing.
  • LEARN A NEW LANGUAGE—This is a tough one for most adults but, learning a new language stimulates areas of your brain. Scientists have long held the theory that the left and right hemisphere of your brain control different functions when it comes to learning. The left hemisphere is thought to control language, math and logic, while the right hemisphere is responsible for spatial abilities, visual imagery, music and your ability to recognize faces. The left hemisphere of your brain also controls the movement on the right side of your body. The left hemisphere of the brain contains parts of the parietal lobe, temporal lobe and the occipital lobe, which make up your language control center. In these lobes, two regions known as the Wernicke area and the Broca area allow you to understand and recognize, read and speak language patterns — including the ability to learn foreign languages.
  • SLEEP-– The evidence is clear that better brain and physical health in older people is related to getting an average of seven to eight hours of sleep every 24 hours,” said Sarah Lock, the council’s executive director and AARP senior vice president. The evidence on whether naps are beneficial to brain health in older adults is still unclear. If you must, limit napping to 30 minutes in the early afternoon. Longer naps late in the day can disrupt nighttime sleep. Get up at the same time every day, seven days a week. (You will not like this one.) Keep the bedroom for sleeping, not watching TV or reading or playing games on your smartphone or tablet.
  • DIET—A “brain-healthy” diet can go a long way to promoting cognitive ability. Keeping weight off and maintaining an acceptable body mass index (BMI) can certainly promote improved mental ability.
  • LEARN TO PROGRAM-– This is another tough one. Programming is difficult, tedious, time-consuming and can be extremely frustrating.  You must have the patience of Job to be a successful programmer, but it is mind-stimulating and can benefit cognitive ability.
  • TRAVEL—As much as you can, travel. Travel is a marvelous learning experience and certainly broadens an individual’s outlook.  New experiences, new and interesting people, new languages, all contribute to mental stimulation and improve cognitive ability.
  • LESSEN MIND-NUMING TELEVISION—Enough said here. Read a good book.
  • APPLY THE KNOWLEDGE YOU HAVE—Trust me on this one, you are a lot smarter than you think you are. Apply what you know to any one given situation. You will be surprised at the outcome and how your success will fuel additional successes.
  • REDUCE EXPOSURE TO SOCIAL MEDIA—Social medial can become a time-robbing exercise that removes you from real life. Instead of reading about the experiences of others, bring about experiences in your own life.

CONCLUSIONS:  As always, I welcome your comments.


May 28, 2017

Once each month I receive a summary of charges for prescription medications from our healthcare provider.  How much the plan pays, how much we pay, where I am relative to co-pays, etc. I always read the document but this month I noticed information printed in several languages indicating phone numbers for those individuals who do not speak English.  That list is given below.  As you can see, my provider has their bases covered. This points to the fact that our country is definitely a “melting pot” for differing ethnicities, religions, and cultures in general.  English only is a thing of the past. There are plenty of households in which English is not the primary or native language.  I certainly feel people try to assimilate but, as we all know, English is a very difficult to learn if it is not your first language.  This fact got me to thinking, just how diverse are we?  With that being the case, let’s take a look.

The figure above is the fourth sheet from my medical provider.  As I mentioned, they seem to have all of the bases covered which is exactly what I would do if I were them.

The bar chart below was a definite surprise to me.  According to the 2000 census, close to forty-three percent (43%) of the American population comes from German ancestry.   You can read the chart below to see how the various cultural backgrounds contribute to the overall “melting pot” of the United States.  Of course, this varies from one part of our country to another.  In the Southeast, the predominant lineage is from England, Scotland, Ireland, and Africa.

If we look at cultural diversity by state, we may see the following:

Population demographics from the most recent census present the following:

Social scientists have only recently begun to evaluate multiculturalism as public policy. Keith Banting and Will Kymlicka of Queen’s University in Ontario, Canada, have constructed a multiculturalism policy index (MCP Index) that measures the extent to which eight types of policies appear in twenty-one (21) Western nations. The index accounts for the presence or absence of multicultural policies across these countries at three distinct points — 1980, 2000, and 2010 — thus capturing policy changes over time.  This information is captured below.

The countries were each evaluated for an official affirmation of multiculturalism; multiculturalism in the school curriculum; inclusion of ethnic representation/sensitivity in public media and licensing; exemptions from dress codes in public laws; acceptance of dual citizenship; funding of ethnic organizations to support cultural activities; funding of bilingual and mother-tongue instruction; and affirmative action for immigrant groups.

According to PEW Research, the most and least multi-cultural countries are as follows:

This multicultural map of the world is based on an analysis of data reported in a new study of cultural diversity and economic development by researcher Erkan Gören of the University of Oldenberg in Germany. In his paper, Goren measured the amount of cultural diversity in each of more than 180 countries. To arrive at his estimates, he combined data on ethnicity and race with a measure based on the similarity of languages spoken by major ethnic or racial groups. “The hypothesis is that groups speaking the same or highly related languages should also have similar cultural values,” said Goren in an email.

Together he used his language and ethnicity measures to compute a cultural diversity score for each country that ranged from 0 to 1, with larger scores indicating more diversity and smaller values representing less. The usual suspects lead the list of culturally diverse countries: Chad, Cameroon, Nigeria, Togo and the Democratic Republic of the Congo. These and other African countries typically rank high on any diversity index because of their multitude of tribal groups and languages. The only western country to break into the top 20 most diverse is Canada. The United States ranks near the middle, slightly more diverse than Russia but slightly less diverse than Spain.

Argentina, the Comoros, Haiti, the Dominican Republic, Rwanda and Uruguay rank as the world’s least diverse countries. Argentina may be a surprise, what with all those Germans and Italians pouring into the country after one world war or the other. But Spanish is nearly universally spoken in Argentina, 97% of the country is white and more than nine-in-ten Argentines are at least nominally Roman Catholic, according to the CIA’s World Factbook. The presence of Rwanda at the bottom of the list likely is, in part, a grim reminder of the mass slaughter of Tutsi by the dominant Hutu majority in 1994 in what came to be known as the Rwandan Genocide.

A caution: Cultural diversity is a different concept than ethnic diversity. As a result, a map of the world reflecting ethnic diversity looks somewhat different than the one based on Goren’s cultural diversity measure that combines language and ethnicity profiles of a country.  The Harvard and Goren maps show that the most diverse countries in the world are found in Africa.  The United States falls near the middle, while Canada and Mexico are more diverse than the US.

I have had the great fortune to travel to several non-English-speaking countries over my life time and I can tell you most do NOT consider other languages visitors or nonresidents speak.  Generally, and it may have changed over the last five or six years, if you cannot speak the native language you just might be in trouble.


%d bloggers like this: