Daily Archives: September 27, 2021

Soy and Breast Cancer: Is There a Connection? – Healthline

Posted: September 27, 2021 at 5:33 pm

Soy foods, including tofu, edamame, miso, soy sauce, and soy milk, are some of the most widely consumed foods on the planet. As more people embrace plant-based diets, their popularity is increasing.

Yet soy is known to produce phytoestrogens in the body, and estrogen has been linked to breast cancer. Is there any reason to be concerned about breast cancer if you eat foods containing soy?

Researchers say no. In fact, theres solid evidence that eating foods rich in soy may actually lower your risk of developing breast cancer.

This article explores some of the research into soy foods and breast cancer. It also discusses some of the other benefits and risks of including soy in your diet.

Why was there a concern about the relationship between consuming soy and developing breast cancer? In some older animal studies, mice that ate soy had an increased number of breast cancer cells in their mammary glands. Those results led researchers to question whether soy might have similar effects on humans.

However, animal studies dont always translate well to humans. In this case, its important to note that there are at least two reasons why these mice might have a different response to dietary soy than humans.

First, mice process the soy differently than humans do. To understand how, a little background is necessary. Soy contains several kinds of phytoestrogens (isoflavones). Phytoestrogens are plant-based substances that act like estrogen in the body.

According to the American Cancer Society, certain types of breast cancer have been traced to increased estrogen in the body. Thats what gave researchers cause for concern about soy and breast cancer. However, in humans, phytoestrogens turn into genistein and daidzein, two isoflavones that are very different from and much weaker than human estrogen.

In fact, soy has been proven to block the action of estrogen in tissues. In tissues with breast cancer cells, estrogen stimulates the multiplication of cancer cells. When soy blocks this stronger form of estrogen, it is playing an active role in reducing the risk of breast cancer.

Because of the differences in how soy isoflavones are metabolized in mice and humans, the mice in these studies were exposed to much higher concentrations of isoflavones than the amounts human beings typically eat. Researchers have concluded that the higher concentrations mean the outcomes are likely to be different for the two species.

When researchers conducted similar soy studies on primates, whose biology is much closer to human biology, they found no increased risk of breast cancer among the primates who consumed soy.

A number of long-term studies involving human populations have shown that eating soy foods does not increase the risk of breast cancer. On the contrary: Studies show that diets rich in soy may actually help to protect you from developing breast cancer.

A 2020 study that tracked the soy consumption of over 300,000 women in China found that moderate soy consumption did not raise the risk of breast cancer for women in the study. Women in the study who reported eating higher amounts of soy products experienced a lower risk of breast cancer.

A 2020 meta-analysis evaluated the results of 18 separate studies. After evaluating the results of these studies, researchers concluded that higher amounts of soy in the diet lowered the breast cancer risk for women. The protective effect was highest for women who had not yet reached menopause.

If you have been diagnosed with breast cancer or are a survivor, you may be wondering whether you should be cautious about consuming soy. Experts at the American Cancer Society say soy foods are safe and healthy for people to eat. They caution, however, that more research needs to be done to see whether taking isoflavone supplements is equally safe, since these supplements may have higher concentrations of isoflavones than there are in soy foods.

In 2017, the Breast Cancer Family Registry followed the intake of soy isoflavones for 6,235 women diagnosed with breast cancer and living in the U.S. and Canada. It was found that women who ate the highest amounts of soy isoflavones had a 21 percent lower risk of death compared with women with the lowest intakes.

In 2019, researchers analyzed 12 studies that followed 37,275 women who had survived breast cancer. Their analysis found that eating soy foods both before and after their diagnosis was associated with a reduced risk of cancer recurrence in postmenopausal women.

The soy that we eat can impact our bodies in a multitude of ways. There are benefits of eating soy related both to fighting breast cancer and our general health.

Soy products are a great source of protein. As opposed to some other plant proteins, soy proteins contain all nine essential amino acids that the body cannot make, making it a complete protein. Replacing red meat with soy protein may also help reduce your risk of certain cancers, because eating red meat has been linked to higher cancer risk.

A 2020 research review found that soy isoflavones helped improve bone mineral density and prevent bone loss in people with osteoporosis. Researchers noted that it may be necessary to consume the isoflavones for a year or longer to see the most benefit.

Fermented soy foods like miso, natto, and tempeh are cultured with beneficial bacteria. These bacteria boost the health of our microbiome, which can improve our heart health, brain health, and regulate weight.

It is worth noting that most of the studies regarding soy as a cancer-fighting food are observational, and more detailed studies need to be done. The relationship between soy consumption and breast health may additionally be related to the lifestyle and other dietary habits of people who eat soy products.

While there is no link believed to exist between soy and breast cancer, there might be other reasons for you to consider eating less soy.

While soy foods are safe and have a number of health benefits, there is not enough data to say for sure that soy supplements are equally beneficial. At least one study conducted in 2019 recommended against using soy supplements until more research could be done. Its important to note that this study did not find any association between the past use of soy supplements and breast cancer.

One form of fermented soy, soy sauce, contains tyramine and monosodium glutamate (MSG). Some researchers once thought tyramine triggered migraine attacks by constricting and dilating blood vessels. However, blood vessel dilation is not considered the cause of most migraine.

While there is insufficient evidence linking MSG consumption to headaches, it is believed to be a migraine trigger for many people, and soy is sometimes found on lists of migraine triggers.

Many soy products may be created with genetically modified soybeans. Some people are concerned that GMO foods may be linked to cancer and allergies; however, there are no long-term human studies linking GMOs to cancer or allergies. More research is needed.

There is no known link between breast cancer and eating tofu, miso, edamame, soy milk, soy sauce, or any other soy food. In fact, researchers have found that consuming soy foods can actually lower your breast cancer risk.

Soy foods can also benefit your health in other ways: protecting you from bone loss, boosting the beneficial bacteria in your gut, and increasing healthy sources of plant protein in your diet. Its important to note that soy isnt entirely risk-free, however. Soy may be a migraine trigger in some people, and it may be genetically modified, which some people choose to avoid.

More research needs to be done before scientists can say with certainty that soy supplements are as healthful and safe as foods that contain soy.

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Soy and Breast Cancer: Is There a Connection? - Healthline

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CBD: What is it and will it improve cycling performance? – Cyclist

Posted: at 5:33 pm

CBD, the supplement which seems to be everywhere. It's in gels, drinks, chamois cream and even pizza these days.

Already prevalent in rugby, golf, and cricket, CBD is taking the sports world by storm and it shows no signs of disappearing. So is CBD the next big thing in cycling? And is it legal?

In April this year, UCI Continental Professional cycling outift Team Skyline announced a sponsorship deal with the company Gold Medal CBD and Tokyo 2020 was widely viewed as the first time athletes could use CBD in their preparations for the Olympic Games.

Ex-pro and disqualified Tour de France winner Floyd Landis CBD company Floyds of Leadville boasts many elite athletes as ambassadors, including cyclists Sarah Sturm, Gordon Wadsworth and Peter Stetina.

The global CBD industry is projected to be worth $13.4 billion (9.7 billion) by 2028, according to Grand View Analysis.

CBD is a naturally occurring compound found in the cannabis plant and is also known as cannabidiol.

It is one of hundreds of compounds, called cannabinoids, which make up the cannabis plant.

It is neither intoxicative nor has a psychoactive effect unlike one of the plants more well-known cannabinoids, tetrahydrocannabinol (THC), the psychoactive ingredient in cannabis which gets people high.

A World Health Organisation (WHO) report states that CBD is generally well tolerated with a good safety profile.

Like Ketone Esters, CBD is legal in the UK.

CBD products are categorised under the Novel Food Regulation which means they have to be marketed as a food supplement rather than a medicine.

In 2018 the World Anti-Doping Agency (WADA) removed CBD from its prohibited substances list but other compounds found in the cannabis plant are still banned including THC.

Cannabis is an illegal class B drug in the UK and almost all cannabidiols are controlled substances under the Misuse of Drugs Act 1971 (excluding CBD).

There are three spectrums of CBD: full, broad and narrow, which indicates the number of other compounds of the cannabis plant present in the CBD itself.

A full spectrum product contains CBD and a small amount of THC (less than 0.2% otherwise it is illegal).

A broad spectrum product contains all the compounds of the plant including CBD but does not contain any THC.

A narrow spectrum product (also called Isolate CBD) contains only CBD and no other compounds of the cannabis plant.

There are many different types of CBD products, from capsules, oils, patches, balms and gels to drinks, gummies, pillowcases and even yoga classes.

According to neurologist and medical cannabis expert, Professor Mike Barnes, the most effective way to ingest CBD is as an oil under the tongue.

Most people take CBD as an oil under the tongue as it can be absorbed directly into the bloodstream. Then its effects will last about 4-6 hours.

Essentially, it depends on what you want CBD for as to how you should take it. For instance, for a painful joint or muscle you could use a balm to rub into the affected area.

CBD advocates say it can aid post-training recovery, improve sleep quality, and reduce anxiety.

CBD in general can help with anxiety and physical pain, says Team Skyline Sports Director Michael Tacci. It helps with not only managing nagging minor injuries, bumps and bruises, but can also assist with pain management on the bike during hard efforts.

Most importantly, CBD anecdotally has been seen to significantly improve post-training recovery.

Ex road pro and gravel and endurance cyclist Peter Stetina first started using CBD in 2015 after he broke his leg at the Tour of the Basque Country when he was looking for an alternative to prescription painkillers.

For Stetina, the biggest benefit he gets from CBD is improved sleep quality.

When I take the capsules around dinner time I feel I can fall asleep sooner, he explains. It helps me get to bed early before an early wake-up for race morning.

He also uses a CBD cream to help with acute muscle soreness post-race.

Notably, Stetina doesnt use CBD during competition, but he does notice a smoother recovery afterwards due to the supplements relaxation benefits.

I definitely would recommend CBD to other cyclists, he says. There's no grogginess the next morning, no bad side effects, and it is a legal substance in regard to drug testing. I would say just start with the lowest dose and increase to what works best for you, just like anything really.

Team Skyline rider Wolfang Brandl gets two benefits from CBD.

It helps me to calm down after a race, especially because many of our races are usually late evening or at night, and even after a couple days of racing my legs feel less fatigued, he says.

Brandl first tried CBD in 2019 when he felt fatigued during a 10-day race and a friend told him to try some CBD cream. I used it and my legs felt pretty good, I actually got a podium result that day.

Brandl, who is from Germany, adds that CBD usage is more prominent in the US than in Europe.

There is a huge choice of CBD products on offer, with 217 CBD companies currently operating in the UK.

Professor Barnes emphasises the importance of looking for products with clear labelling which shows which cannabinoids it contains and what percentages, and which comes from a credible source.

In my view, look for broad spectrum products with clear labelling, clear dosing and which dont make unnecessary medical claims,he says.

Not all CBD food supplements are created equally, says Caroline Glynn, chief scientific officer and co-founder of Pureis CBD. Some products found on the market can contain unwanted contaminants along with levels of THC, and some may contain lower levels of CBD as claimed on the product label, unknown to the average consumer.

A paper published in April 2020 tested 29 CBD food supplements available on the UK market and found that 34% of products had 50% less of the CBD content advertised and 55% of products had measurable levels of THC above what is considered safe.

The UK Food Standards Agency (FSA) recommends taking no more than 70 milligrams of CBD a day.

However, for Professor Barnes this is controversial.

This is based on no science whatsoever, he says. I cant find evidence that shows above 70 milligrams is not safe and some people will need more than 70 and some will need less, it is completely different for each individual. I would recommend starting with a low dose, such as 10mg and slowly build it up.

Professor Graeme Close of Human Physiology at Liverpool John Moores University emphasises the importance of applying caution until more research is done.

There is currently not enough evidence for a recommended dose but it makes no sense to go over the FSAs limit.

If you are on other medication, you should speak to your healthcare practitioner before taking CBD and certainly don't jump in taking stupid amounts.

Many CBD products on the market contain CBD as well as other cannabinoids, which means that this could be problematic for athletes in WADA-sanctioned sports.

An athlete could take a CBD product that is 0% THC but happens to have some of the potentially therapeutic non-psychotropic cannabinoids such as Cannabigerol (CBG) and WADA could decide to test for that, and the athlete would fail a drug test for CBG, explains Professor Close.

Unless WADA removes all the cannabinoids from their prohibited substance list, or names the specific psychotropic cannabinoids which are banned and which it will test for, it becomes very difficult for an athlete to try CBD safely.

Close adds that this leads to ethical challenges in research into CBD, as athletes could be given products which cause them to fail an anti-doping test.

Of note, is that WADA recently announced it will reopen discussions about removing cannabis from the prohibited list next year.

Whilst there is a general consensus amongst experts that CBD isnt performance-enhancing, there is debate over how much THC is legally allowed to be in a product and how effective a product is with all the THC removed.

Some people have read the legislation to believe there should be less than a milligram of THC in a product but that is misunderstanding the legislation, says Professor Close. My reading of the current legal status is that there should be no detectable THC in the final product.

No one can hand on heart tell you whether a product will be effective with all the THC removed because of something called the entourage effect, he adds. There's evidence to suggest that you need the full spectrum of cannabinoids, even if there's not a huge amount, for all to work synergistically well together.

We've got to remember that the research is miles behind where it probably should be because it's been prohibited for decades.

Honest Hemp, a CBD company which currently supplies an unnamed cycling club, feels that interest in CBD is growing and wants to educate people about CBD.

We are involved in ongoing studies with Hull University to enhance and develop our products and we continue to educate people that CBD does not get you high as some people wrongly assume but does have a positive effect on recovery, which in turn enhances performance, explains the companys founder Christian Sanderson.

Professor Barnes predicts better quality products, better labelling and more understanding will come to the market.

CBD is not a fad, it is an industry that is here to stay and I think it will help athletes generally, says Barnes.

Professor Close agrees.

CBD isnt going away. I'm actually quite excited about what this product can do but Im also cautious, he says. It is the most controversial and complicated supplement to hit the industry in the last 20 years.

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Global $2.32 Bn Pet Supplements Market to 2028: Sales Soared During COVID-19 with Focus on Products that Target Immunity, Anxiety, and Overall…

Posted: at 5:33 pm

Dublin, Sept. 27, 2021 (GLOBE NEWSWIRE) -- The "Pet Supplements Market Size, Share & Trends Analysis Report By Pet Type (Dogs, Cats), By Distribution Channel (Offline, Online), By Region (North America, Europe, Asia Pacific, Central & South America), And Segment Forecasts, 2021 - 2028" report has been added to ResearchAndMarkets.com's offering.

The global pet supplements market size is expected to reach USD 2.32 billion by 2028, expanding at a CAGR of 5.9% from 2021 to 2028

Pet supplement sales soared as a result of increased consumer interest sparked by COVID-19, particularly in products that target immunity, anxiety, and overall wellness. When it comes to consumer buying patterns, joint health supplements are already at the top of the list, but hip and joint supplements are only one element of the senior pet health picture.

The growing numbers of aging dogs and cats are in need of an immune response, cardiac and cognitive support items, and anti-inflammatory and pain management aid, thanks to breakthroughs in veterinary treatment and pet owner interest in pet wellness and nutrition at an all-time high.

According to Packaged Facts' 2020 Pet Owners Survey, 47% of dog owners have a dog aged 7 or older, up from 43% in our previous study, and 43% of cat owners have a cat aged 7 or older, up from 39% in our previous survey, demonstrating the growth of this pet demographic. Marketers can leverage already-existing products into a growing pet population segment by targeting the senior population with personalized products and senior-specific products, such as multifunctional supplements, thereby offering another viable avenue for market expansion.

According to a survey of pet food producers performed by Petfood Industry in April, 60% indicated higher sales through online shops. Granted, that was during the early lockdown-induced stockpiling of pet food and many other essential household goods; however, in the most recent Petfood Industry Confidence Index surveys of pet food executives and other professionals, e-commerce has remained one of the few bright spots as business confidence has lagged in other areas.

Many dog owners are naturally anxious about administering human-grade CBD oil to their pets. However, firms such as Royal CBD and Gold Bee have created CBD products designed specifically for pets that are less strong.

Story continues

Preliminary research from Baylor College of Medicine suggests that CBD oil can aid in the treatment of canine osteoarthritis, which affects 20% of dogs over the age of a year.

Pet Supplements Market Report Highlights

By pet type, the dogs segment accounted for the largest share of over 45.0% in 2020 as dogs are the most popular pets in the world, with an incredibly high adoption rate

The offline distribution channel segment accounted for the largest share of over 75.0% in 2020 and is expected to witness the fastest growth over the forecast period

North America held the largest share of over 40.0% in 2020. An increase in the number of pet owners and increased knowledge among pet owners about various health hazards are some of the factors fueling the regional market growth

Company Profiles

Company Overview

Financial Performance

Product Benchmarking

Strategic Initiatives

Nestle Purina Petcare

Food Science Corporation

Ark Naturals

NOW Foods

Virbac

Kemin Industries, Inc.

Novotech Nutraceuticals, Inc.

Zoetis Inc. (Platinum Performance)

Bayer AG

PetHonesty

Nutramax Laboratories, Inc.

Manna Pro Products, LLC

Honest Paws

Garmon Corporation

Zenwise

Only Natural Pet

Dechra Pharmaceuticals PLC

Vetoquinol S.A.

Vetnique Labs

For more information about this report visit https://www.researchandmarkets.com/r/65xa4g

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Can milk thistle help with breast cancer treatment? – Medical News Today

Posted: at 5:33 pm

Milk thistle is a flowering herb that some people may consider using as a home remedy to help treat various health conditions, including cancer. Milk thistle and extracts of milk thistle, such as silymarin, are rich in antioxidants and may have some medical uses. However, more research is necessary to prove its effectiveness.

Research is exploring silymarin and milk thistle and their potential use as a breast cancer treatment alongside traditional therapies to either protect cells or reduce potential side effects.

However, milk thistle is not for everyone, as there may be some risks involved. More human studies are necessary to determine whether or not it is effective. Anyone who is looking to use milk thistle for any health condition should consult a doctor first.

This article discusses whether or not milk thistle can help with breast cancer treatment. It also looks at some potential risks and benefits associated with the herb.

Milk thistle may have some health benefits, mainly thanks to the extract silymarin and its active compound silybin, or silibinin.

Research from 2019 notes that silymarin and silybin have antioxidant and anti-inflammatory properties. The compounds may help repair and prevent damage in cells, which is an important factor in many conditions including cancer.

That said, researchers note that silymarin is not very bioavailable, meaning that the body cannot use it very easily. This is why some people may make a complex of silybin with phosphatidylcholine to create phosphatidylcholine-bound silybin. This increases its bioavailability.

Research from 2020 notes that silymarin may have roles in preventing cell damage leading to cancer and reducing side effects in healthy cells from cancer treatments.

For example, the compounds in milk thistle appear to counteract the toxic effects on the kidneys caused by some chemotherapy agents common in breast cancer treatment, such as cisplatin. This is important. These chemotherapy drugs are highly effective, but doctors currently need to limit their use due to these toxic effects.

Researchers also note that silymarin may have a synergistic effect with some anticancer drugs to help kill some types of cancer cells, including breast cancer cells. This could mean that it may have use as a potential pre-treatment before other therapies for cancer.

Milk thistle may also help reduce side effects from other cancer treatments. The National Cancer Institute (NCI) notes that in small human studies, applying a cream containing silymarin to the skin helped prevent rashes from radiation therapy in people with breast cancer.

That said, the research is preliminary. More studies in humans may help find better ways to use the compound. Currently, there is not enough evidence to recommend milk thistle as a treatment for cancer.

Milk thistle is a common name for the plant Silybum marianum, which is native to Europe. It has large, prickled leaves with white veins running across them. The active extract of milk thistle is silymarin, which is extractable from the plant and seeds.

Milk thistle comes in a few different forms. Extracts of milk thistle containing higher levels of active ingredients may come in the form of oral capsules, oral tablets, tinctures, or other liquid extracts.

Milk thistle and its active compounds contain antioxidants that may help protect cells and offer some benefits to the body.

There are several potential benefits of milk thistle, thanks to the high antioxidant profile of the extract silymarin.

For example, milk thistle may help protect the liver and its cells. Research from 2019 notes that milk thistle and silymarin have had medical uses for liver disease and gallbladder conditions for thousands of years.

Although further research is still necessary, silymarin may also have medical uses for a few other conditions, including those affecting the:

It may also have potential anti-diabetes actions, as it may help with insulin resistance. However, results are currently mixed, so more research exploring this potential benefit can help clarify whether or not milk thistle is helpful for this purpose.

Until further research confirms that milk thistle is beneficial, people should continue using the current medical treatment options available to them.

Milk thistle is generally safe to use. The NCI notes that side effects from silymarin are rare but can include:

At high doses (over 1,500 milligrams per day), some people may have mild allergic reactions to silymarin. People who have allergies to similar plants, such as chrysanthemum and marigold, may also have allergic reactions to milk thistle.

In addition, some other groups may need to be wary of milk thistle. For example, there is not enough information about the safety of using milk thistle while breastfeeding or pregnant.

There may also be some drug interactions to consider. Research from 2019 notes that the low bioavailability of silymarin makes many drug interactions unlikely, but there are some exceptions, and drug interactions can occur.

Therefore, it is advisable to speak with a doctor before using milk thistle alongside drugs that affect the liver, hormones, or cholesterol, as there may be interactions. People with diabetes should also consult a doctor before using the herb. Milk thistle may lower blood sugar levels, which could affect medication use or dosage.

Safety and regulation may also be an issue for some milk thistle products. The Food and Drug Administration (FDA) has not approved the use of milk thistle as a treatment for cancer.

Additionally, the FDA does not regulate dietary supplements in the same way as it regulates food and drug products. As a result, the exact amounts of a compound or other ingredients in any given batch may vary. Because of this, people should also only use silymarin or milk thistle from a trustworthy company.

Silymarin and milk thistle generally come in forms that are easy to use.

For oral formulations, people can consider either working with a doctor to find a safe personal dosage or following the general dosage from the instructions on the packaging.

For topical formulations containing silymarin or milk thistle extract, people can apply an appropriate amount to the skin.

There are several herbs rich in antioxidants that may also possess anti-inflammatory actions. These may help support the body and protect cells in a similar way to milk thistle, but it is important to note that none are a treatment option for cancer.

Some antioxidant-rich herbs and foods include:

Learn more about natural treatments that may help with breast cancer here.

Milk thistle contains helpful antioxidants and may have anti-inflammatory properties. These properties could make it a useful adjunct therapy to use alongside traditional therapies for breast cancer.

However, research on the topic is preliminary, so more clinical trials in humans may help expand on these possibilities. There is currently not enough evidence to recommend it for use in any type of therapy for cancer.

Anyone who is curious about whether or not milk thistle may be right for them can discuss this with a doctor. Each case of breast cancer is different, and doctors may have different recommendations for each person to help prevent side effects or make treatments more effective.

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Massive Scouting Report: CF Montreal – Massive Report

Posted: at 5:32 pm

After a much-need draw last week against the New England Revolution, the Columbus Crew returns home for an all-important matchup with CF Montreal at Lower.com Field. As the season winds down and the Crew looks to push for an MLS Cup playoff spot, every game is important.

This match, however, is of huge importance as it provides the Black & Gold with a chance to take points off of a team above them in the standings. The Crew is unbeaten in two matches and has an 8-3-3 record all-time against Montreal in Columbus.

Heres what to expect from each side heading into this Eastern Conference showdown.

CF Montreal at a Glance:

Record: 10-7-8, 37 points

League Form: W-W-L-W-D

Leading Scorer: Mason Toye (7)

Assist Leader: Djordje Mihailovic (10)

Player to Watch: Djordje Mihailovic

One of the bigger MLS trades this past offseason saw Mihailovic cross the Canadian border to join CF Montreal from the Chicago Fire for around $800,000 in General Allocation Money. For Montreal, Mihailovic has been worth every penny. Recording four goals and 10 assists so far in 2021, Mihailovic has almost surpassed his numbers in three years in Chicago in his first season in Montreal.

Known for his passing ability and vision in the final third, Mihailovic has thrived in Montreals system that allows him the freedom to roam and find dangerous spaces to attack. As some United States Mens National Team fans may remember, Mihailovic is capable of taking his own chances and converting them as well. Mihailovics whereabouts will be of the utmost importance to the Black & Gold on Saturday if they are to keep Montreal at bay.

How CF Montreal play:

Montreal has been one of the surprise teams in the MLS in 2021. Despite some of their off-the-field issues, Montreal has been relatively consistent and entertaining on the pitch. Led by first-year manager Willfried Nancy, Montreal is squarely in the playoff picture and looks to continue to climb up the Eastern Conference standings.

Montreals main feature is the teams athleticism all over the field. This group finds ways to highlight the teams athletic advantage and make its opposition pay dearly. The biggest way that Montreal has been able to do this so far in 2021 is in their attacking transition where they excel at attacking the space the opponent vacated after winning the ball back.

Another feature of the Montreal attack is the teams ability to attack and exploit the central part of the field. Montreal does this by positioning players to attack narrowly and create numerical advantages in the center of the park. These numerical overloads can pull opposing defenders out of position and create space to attack. This also allows the team to exploit the speed on the wings.

Defensively, Montreal is relatively simple. They do not have an all-out press on the backline, however, they do have a wrinkle or two worth noting.

The most important defensive scheme employed is trying to cut the field in half when the opponent is in possession. In essence, this means that when the opponent moves the ball to one side of the field, Montreal works incredibly hard to keep the ball from moving off that side.

This is done by moving more players into a smaller space and increased numbers close to the ball when winning the ball back. This allows Montreal to effectively create more attacking transition moments where the team is so effective.

How the Crew can win:

As mentioned, Montreal can be deadly in the teams attacking transition with speed and counter-attacking ability. Generally speaking, teams like Montreal love playing teams like Columbus because they know that they should have ample opportunities to counter attack against possession-based teams. That being said, the Black & Gold can severely limit Montreals attack if they can shut down the visitors attacking transition moments.

There are two main ways for the Crew to do this without changing the game plan. Firstly, Columbus needs to do a good job of counter-pressing to force turnovers before the opponent can get back into attacking positions. This has been a large part of the Black & Golds game under head coach Caleb Porter and will be crucial for the Crew on Saturday.

In addition to effectively counter-pressing, Columbus needs to limit bad turnovers when in possession. Black & Gold fans have seen their share of goals off turnovers this year, including one just last week. While the Crew needs to do a better job of limiting those, the team can also afford to limit turnovers in the attacking third as well. These turnovers often lead to counter attacks for the opposition.

In this match, if Columbus can do a good job of finishing attacks by recording a shot on goal or earning a set piece, that will limit the chances that Montreal has to counter attack.

In addition, the Black & Gold will do well to break the Montreal pressure when the Crew is in possession. As discussed, Montreal doesnt typically apply pressure high up the field but does a very good job of applying pressure once the ball has gone to one side of the pitch.

A huge part of the Crews offensive game plan is switching the point of attack, or moving the ball from side to side. This often causes opposing defenses to readjust and move constantly, which is very hard to do correctly every time. Montreal will be committed to keeping Columbus from doing so and looking to pin the Black & Gold on one flank of the field. However, if the Crew is able to switch the point of attack often, it will allow access to space on the opposite side, which can only be a good thing.

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Local family sheds tears of joy as province agrees to fund ‘life-changing’ CF medicine – OrilliaMatters

Posted: at 5:32 pm

'I am so happy for all the lives that will be saved and changed, the weight lifted from families shoulders, it's a big relief,' says local mother and advocate

After yearsof fighting to have lifesaving medications covered for cystic fibrosis (CF) patients in Canada, local mother-daughter duo Beth and Madi Vanstoneare celebrating this week as the province has agreed toprovidecoverage for the expensive medication under its publicly funded drug program.

Patients who are eligible and qualify for Trikafta, a specialized CF medication, will have access to the medication through public drug programs, with eligibility criteria yet to be specified.At list price, Trikafta costs approximately $300,000 per patient per year.

"She cried when I told her!" Beth Vanstone said of her daughter's reaction to the news."I am so happy for all the lives that will be saved and changed, the weight lifted from families shoulders, it's a big relief."

A CF official agreed.

"Our community has fought hard for this day and sadly lost many loved ones along the way," said Dr. John Wallenburg, chief scientific officer of Cystic Fibrosis Canada in a news release.

"While we are pleased with the news, we also need to ensure that access to Trikafta is granted to everyone eligible under Health Canadas indications. We ask the provinces to follow Cystic Fibrosis Canadas clinician-developed guidelines and provide access to all Canadians living with CF who would benefit from this life-changing treatment," said Wallenburg.

In June 2021, Health Canada approved the use of Trikafta, but the Canadian Agency for Drugs and Technologies in Health (CADTH) had outlinedstrict criteriarecommendations for public funding togainaccess to the drug.If adopted, the recommendationswould exclude 27 per cent of the CF patient community, mostly affecting youth.

The recommendations received negative feedback from the CF community patient groups and clinicians.

The Vanstones, who are from Bradford, and Simcoe-GreyMPP Jim WIlson,met with Minister of Health, Christine Elliott last month to discuss the negativeimpacts ofadopting the recommendations from CADTH.

The trio firstmet with Elliott nine years ago when theyconvinced the Ontario government to approvecoverage for CF drug Kalyedco, after a lengthy public battle. Elliott was the provincial health critic at the time.

Had Kalydeconot been funded by OHIP,the Vanstones would need to pay$350,000 yearly for thedrug.Even with privateinsuranceand participation in a drug study, theywere looking at a cost of about $60,000 per year.

Elliott said the move is "life-changing" for CF patients.

Our government has taken urgent action to ensure all cystic fibrosis patients will have more timely access to the effective and life-changing treatments they need, Elliott said.

Providing coverage for Trikafta is one more way our government is building a sustainable, modern, and connected health care system that will expand coverage to new and innovative treatments and provide high-quality health care to patients for years to come.

Madi Vanstone, 19, will now be able to transition from her current CF drugKalydeco medication to Trikafta, as her condition has worsened over the past year and her doctors are recommending the switch.

"Trikafta is the single greatest innovation in cystic fibrosis history and it has the power to transform the lives of thousands of Canadians," said Kelly Grover, president and CEO of Cystic Fibrosis Canada. "The cystic fibrosis community in Ontario has fought long and hard to get this drug into their hands. Access to Trikafta will mean longer and healthier lives for so many people and the ability to plan for a future that many feared they might not live to see."

According to CF Canada, itis estimated that one in every 3,600 children born in Canada has CF. More than 4,300 Canadian children, adolescents, and adults with cystic fibrosis attend specialized CF clinics.

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Local family sheds tears of joy as province agrees to fund 'life-changing' CF medicine - OrilliaMatters

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Mohammed Shahid: BRAVE CF has the best scouting program in the world – Conan Daily

Posted: at 5:32 pm

Headquartered in Seef, Bahrain, BRAVE Combat Federation was founded by Bahraini prince Khalid bin Hamad Al Khalifa, 32, on September 23, 2016. Within five years, the mixed martial arts promotion signed more than 500 athletes from 70 different countries.

We have the best scouting program in the world, BRAVE CF president Mohammed The Hawk Shahid, 32, said. Theres no doubt about it. Thats because we connect with MMA people around the world.

We connect with the gyms, with their national federations, with everyone involved in the sport, Shahid continued. Thats how you unearth the gems that we have.

BRAVE CF promotes a unique business model that focuses more on the development of the sport per continent by creating an MMA ecosystem, which will empower governing bodies as well as help local leagues and their athletes gain international exposure. That was the goal when the promotion partnered with Rukh Sport Management to host its inaugural card in Minsk, Belarus in June 2021, offering 11 exciting bouts that featured six Belarusian MMA fighters.

BRAVE CF has contributed so much to the reemergence of Belarus in MMA, Rukh Sport Management director Tatsiana Kukhareva said. Football, hockey, and basketball are the most popular sports in our country but thanks to a promotion like BRAVE CF, the future of MMA in Belarus is secured.

The same formula will be applied when BRAVE CF makes its much awaited debut in Konin, Poland on September 25, 21 for BRAVE CF 54 headlined by a grudge match between BRAVE CF Lightweight World Champion Amin Fierceness Ayoub, 25, of France and his challenger Ahmed The Butcher Amir, 29, of Egypt.

We are very excited at BRAVE CF to be leading the European MMA scene today, BRAVE CF chief operating officer Valeria Lang stated. Europe is a key market for global sports regulation and development and we intend to develop MMA in this market and give the biggest opportunity to the top European fighters and make them global stars.

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How DeepMind Is Reinventing the Robot – IEEE Spectrum

Posted: at 5:31 pm

Artificial intelligence has reached deep into our lives, though you might be hard pressed to point to obvious examples of it. Among countless other behind-the-scenes chores, neural networks power our virtual assistants, make online shopping recommendations, recognize people in our snapshots, scrutinize our banking transactions for evidence of fraud, transcribe our voice messages, and weed out hateful social-media postings. What these applications have in common is that they involve learning and operating in a constrained, predictable environment.

But embedding AI more firmly into our endeavors and enterprises poses a great challenge. To get to the next level, researchers are trying to fuse AI and robotics to create an intelligence that can make decisions and control a physical body in the messy, unpredictable, and unforgiving real world. It's a potentially revolutionary objective that has caught the attention of some of the most powerful tech-research organizations on the planet. "I'd say that robotics as a field is probably 10 years behind where computer vision is," says Raia Hadsell, head of robotics at DeepMind, Google's London-based AI partner. (Both companies are subsidiaries of Alphabet.)

Even for Google, the challenges are daunting. Some are hard but straightforward: For most robotic applications, it's difficult to gather the huge data sets that have driven progress in other areas of AI. But some problems are more profound, and relate to longstanding conundrums in AI. Problems like, how do you learn a new task without forgetting the old one? And how do you create an AI that can apply the skills it learns for a new task to the tasks it has mastered before?

Success would mean opening AI to new categories of application. Many of the things we most fervently want AI to dodrive cars and trucks, work in nursing homes, clean up after disasters, perform basic household chores, build houses, sow, nurture, and harvest cropscould be accomplished only by robots that are much more sophisticated and versatile than the ones we have now.

Beyond opening up potentially enormous markets, the work bears directly on matters of profound importance not just for robotics but for all AI research, and indeed for our understanding of our own intelligence.

Let's start with the prosaic problem first. A neural network is only as good as the quality and quantity of the data used to train it. The availability of enormous data sets has been key to the recent successes in AI: Image-recognition software is trained on millions of labeled images. AlphaGo, which beat a grandmaster at the ancient board game of Go, was trained on a data set of hundreds of thousands of human games, and on the millions of games it played against itself in simulation.

To train a robot, though, such huge data sets are unavailable. "This is a problem," notes Hadsell. You can simulate thousands of games of Go in a few minutes, run in parallel on hundreds of CPUs. But if it takes 3 seconds for a robot to pick up a cup, then you can only do it 20 times per minute per robot. What's more, if your image-recognition system gets the first million images wrong, it might not matter much. But if your bipedal robot falls over the first 1,000 times it tries to walk, then you'll have a badly dented robot, if not worse.

The problem of real-world data isat least for nowinsurmountable. But that's not stopping DeepMind from gathering all it can, with robots constantly whirring in its labs. And across the field, robotics researchers are trying to get around this paucity of data with a technique called sim-to-real.

The San Francisco-based lab OpenAI recently exploited this strategy in training a robot hand to solve a Rubik's Cube. The researchers built a virtual environment containing a cube and a virtual model of the robot hand, and trained the AI that would run the hand in the simulation. Then they installed the AI in the real robot hand, and gave it a real Rubik's Cube. Their sim-to-real program enabled the physical robot to solve the physical puzzle.

Despite such successes, the technique has major limitations, Hadsell says, noting that AI researcher and roboticist Rodney Brooks "likes to say that simulation is 'doomed to succeed.' " The trouble is that simulations are too perfect, too removed from the complexities of the real world. "Imagine two robot hands in simulation, trying to put a cellphone together," Hadsell says. If you allow them to try millions of times, they might eventually discover that by throwing all the pieces up in the air with exactly the right amount of force, with exactly the right amount of spin, that they can build the cellphone in a few seconds: The pieces fall down into place precisely where the robot wants them, making a phone. That might work in the perfectly predictable environment of a simulation, but it could never work in complex, messy reality. For now, researchers have to settle for these imperfect simulacrums. "You can add noise and randomness artificially," Hadsell explains, "but no contemporary simulation is good enough to truly recreate even a small slice of reality."

Catastrophic forgetting: When an AI learns a new task, it has an unfortunate tendency to forget all the old ones.

There are more profound problems. The one that Hadsell is most interested in is that of catastrophic forgetting: When an AI learns a new task, it has an unfortunate tendency to forget all the old ones.

The problem isn't lack of data storage. It's something inherent in how most modern AIs learn. Deep learning, the most common category of artificial intelligence today, is based on neural networks that use neuronlike computational nodes, arranged in layers, that are linked together by synapselike connections.

Before it can perform a task, such as classifying an image as that of either a cat or a dog, the neural network must be trained. The first layer of nodes receives an input image of either a cat or a dog. The nodes detect various features of the image and either fire or stay quiet, passing these inputs on to a second layer of nodes. Each node in each layer will fire if the input from the layer before is high enough. There can be many such layers, and at the end, the last layer will render a verdict: "cat" or "dog."

Each connection has a different "weight." For example, node A and node B might both feed their output to node C. Depending on their signals, C may then fire, or not. However, the A-C connection may have a weight of 3, and the B-C connection a weight of 5. In this case, B has greater influence over C. To give an implausibly oversimplified example, A might fire if the creature in the image has sharp teeth, while B might fire if the creature has a long snout. Since the length of the snout is more helpful than the sharpness of the teeth in distinguishing dogs from cats, C pays more attention to B than it does to A.

Each node has a threshold over which it will fire, sending a signal to its own downstream connections. Let's say C has a threshold of 7. Then if only A fires, it will stay quiet; if only B fires, it will stay quiet; but if A and B fire together, their signals to C will add up to 8, and C will fire, affecting the next layer.

What does all this have to do with training? Any learning scheme must be able to distinguish between correct and incorrect responses and improve itself accordingly. If a neural network is shown a picture of a dog, and it outputs "dog," then the connections that fired will be strengthened; those that did not will be weakened. If it incorrectly outputs "cat," then the reverse happens: The connections that fired will be weakened; those that did not will be strengthened.

Training of a neural network to distinguish whether a photograph is of a cat or a dog uses a portion of the nodes and connections in the network [shown in red, at left]. Using a technique called elastic weight consolidation, the network can then be trained on a different task, distinguishing images of cars from buses. The key connections from the original task are frozen" and new connections are established [blue, at right]. A small fraction of the frozen connections, which would otherwise be used for the second task, are unavailable [purple, right diagram]. That slightly reduces performance on the second task.

But imagine you take your dog-and-cat-classifying neural network, and now start training it to distinguish a bus from a car. All its previous training will be useless. Its outputs in response to vehicle images will be random at first. But as it is trained, it will reweight its connections and gradually become effective. It will eventually be able to classify buses and cars with great accuracy. At this point, though, if you show it a picture of a dog, all the nodes will have been reweighted, and it will have "forgotten" everything it learned previously.

This is catastrophic forgetting, and it's a large part of the reason that programming neural networks with humanlike flexible intelligence is so difficult. "One of our classic examples was training an agent to play Pong," says Hadsell. You could get it playing so that it would win every game against the computer 20 to zero, she says; but if you perturb the weights just a little bit, such as by training it on Breakout or Pac-Man, "then the performance willboop!go off a cliff." Suddenly it will lose 20 to zero every time.

This weakness poses a major stumbling block not only for machines built to succeed at several different tasks, but also for any AI systems that are meant to adapt to changing circumstances in the world around them, learning new strategies as necessary.

There are ways around the problem. An obvious one is to simply silo off each skill. Train your neural network on one task, save its network's weights to its data storage, then train it on a new task, saving those weights elsewhere. Then the system need only recognize the type of challenge at the outset and apply the proper set of weights.

But that strategy is limited. For one thing, it's not scalable. If you want to build a robot capable of accomplishing many tasks in a broad range of environments, you'd have to train it on every single one of them. And if the environment is unstructured, you won't even know ahead of time what some of those tasks will be. Another problem is that this strategy doesn't let the robot transfer the skills that it acquired solving task A over to task B. Such an ability to transfer knowledge is an important hallmark of human learning.

Hadsell's preferred approach is something called "elastic weight consolidation." The gist is that, after learning a task, a neural network will assess which of the synapselike connections between the neuronlike nodes are the most important to that task, and it will partially freeze their weights. "There'll be a relatively small number," she says. "Say, 5 percent." Then you protect these weights, making them harder to change, while the other nodes can learn as usual. Now, when your Pong-playing AI learns to play Pac-Man, those neurons most relevant to Pong will stay mostly in place, and it will continue to do well enough on Pong. It might not keep winning by a score of 20 to zero, but possibly by 18 to 2.

Raia Hadsell [top] leads a team of roboticists at DeepMind in London. At OpenAI, researchers used simulations to train a robot hand [above] to solve a Rubik's Cube.Top: DeepMind; Bottom: OpenAI

There's an obvious side effect, however. Each time your neural network learns a task, more of its neurons will become inelastic. If Pong fixes some neurons, and Breakout fixes some more, "eventually, as your agent goes on learning Atari games, it's going to get more and more fixed, less and less plastic," Hadsell explains.

This is roughly similar to human learning. When we're young, we're fantastic at learning new things. As we age, we get better at the things we have learned, but find it harder to learn new skills.

"Babies start out having much denser connections that are much weaker," says Hadsell. "Over time, those connections become sparser but stronger. It allows you to have memories, but it also limits your learning." She speculates that something like this might help explain why very young children have no memories: "Our brain layout simply doesn't support it." In a very young child, "everything is being catastrophically forgotten all the time, because everything is connected and nothing is protected."

The loss-of-elasticity problem is, Hadsell thinks, fixable. She has been working with the DeepMind team since 2018 on a technique called "progress and compress." It involves combining three relatively recent ideas in machine learning: progressive neural networks, knowledge distillation, and elastic weight consolidation, described above.

Progressive neural networks are a straightforward way of avoiding catastrophic forgetting. Instead of having a single neural network that trains on one task and then another, you have one neural network that trains on a tasksay, Breakout. Then, when it has finished training, it freezes its connections in place, moves that neural network into storage, and creates a new neural network to train on a new tasksay, Pac-Man. Its knowledge of each of the earlier tasks is frozen in place, so cannot be forgotten. And when each new neural network is created, it brings over connections from the previous games it has trained on, so it can transfer skills forward from old tasks to new ones. But, Hadsell says, it has a problem: It can't transfer knowledge the other way, from new skills to old. "If I go back and play Breakout again, I haven't actually learned anything from this [new] game," she says. "There's no backwards transfer."

That's where knowledge distillation, developed by the British-Canadian computer scientist Geoffrey Hinton, comes in. It involves taking many different neural networks trained on a task and compressing them into a single one, averaging their predictions. So, instead of having lots of neural networks, each trained on an individual game, you have just two: one that learns each new game, called the "active column," and one that contains all the learning from previous games, averaged out, called the "knowledge base." First the active column is trained on a new taskthe "progress" phaseand then its connections are added to the knowledge base, and distilledthe "compress" phase. It helps to picture the two networks as, literally, two columns. Hadsell does, and draws them on the whiteboard for me as she talks.

If you want to build a robot capable of accomplishing many tasks in a broad range of environments, you'd have to train it on every single one of them.

The trouble is, by using knowledge distillation to lump the many individual neural networks of the progressive-neural-network system together, you've brought the problem of catastrophic forgetting back in. You'll change all the weights of the connections and render your earlier training useless. To deal with this, Hadsell adds in elastic weight consolidation: Each time the active column transfers its learning about a particular task to the knowledge base, it partially freezes the nodes most important to that particular task.

By having two neural networks, Hadsell's system avoids the main problem with elastic weight consolidation, which is that all its connections will eventually freeze. The knowledge base can be as large as you like, so a few frozen nodes won't matter. But the active column itself can be much smaller, and smaller neural networks can learn faster and more efficiently than larger ones. So the progress-and-compress model, Hadsell says, will allow an AI system to transfer skills from old tasks to new ones, and from new tasks back to old ones, while never either catastrophically forgetting or becoming unable to learn anything new.

Other researchers are using different strategies to attack the catastrophic forgetting problem; there are half a dozen or so avenues of research. Ted Senator, a program manager at the Defense Advanced Research Projects Agency (DARPA), leads a group that is using one of the most promising, a technique called internal replay. "It's modeled after theories of how the brain operates," Senator explains, "particularly the role of sleep in preserving memory."

The theory is that the human brain replays the day's memories, both while awake and asleep: It reactivates its neurons in similar patterns to those that arose while it was having the corresponding experience. This reactivation helps stabilize the patterns, meaning that they are not overwritten so easily. Internal replay does something similar. In between learning tasks, the neural network recreates patterns of connections and weights, loosely mimicking the awake-sleep cycle of human neural activity. The technique has proven quite effective at avoiding catastrophic forgetting.

There are many other hurdles to overcome in the quest to bring embodied AI safely into our daily lives. "We have made huge progress in symbolic, data-driven AI," says Thrishantha Nanayakkara, who works on robotics at Imperial College London. "But when it comes to contact, we fail miserably. We don't have a robot that we can trust to hold a hamster safely. We cannot trust a robot to be around an elderly person or a child."

Nanayakkara points out that much of the "processing" that enables animals to deal with the world doesn't happen in the brain, but rather elsewhere in the body. For instance, the shape of the human ear canal works to separate out sound waves, essentially performing "the Fourier series in real time." Otherwise that processing would have to happen in the brain, at a cost of precious microseconds. "If, when you hear things, they're no longer there, then you're not embedded in the environment," he says. But most robots currently rely on CPUs to process all the inputs, a limitation that he believes will have to be surmounted before substantial progress can be made.

You know the cat is never going to learn language, and I'm okay with that.

His colleague Petar Kormushev says another problem is proprioception, the robot's sense of its own physicality. A robot's model of its own size and shape is programmed in directly by humans. The problem is that when it picks up a heavy object, it has no way of updating its self-image. When we pick up a hammer, we adjust our mental model of our body's shape and weight, which lets us use the hammer as an extension of our body. "It sounds ridiculous but they [robots] are not able to update their kinematic models," he says. Newborn babies, he notes, make random movements that give them feedback not only about the world but about their own bodies. He believes that some analogous technique would work for robots.

At the University of Oxford, Ingmar Posner is working on a robot version of "metacognition." Human thought is often modeled as having two main "systems"system 1, which responds quickly and intuitively, such as when we catch a ball or answer questions like "which of these two blocks is blue?," and system 2, which responds more slowly and with more effort. It comes into play when we learn a new task or answer a more difficult mathematical question. Posner has built functionally equivalent systems in AI. Robots, in his view, are consistently either overconfident or underconfident, and need ways of knowing when they don't know something. "There are things in our brain that check our responses about the world. There's a bit which says don't trust your intuitive response," he says.

For most of these researchers, including Hadsell and her colleagues at DeepMind, the long-term goal is "general" intelligence. However, Hadsell's idea of an artificial general intelligence isn't the usual oneof an AI that can perform all the intellectual tasks that a human can, and more. Motivating her own work has "never been this idea of building a superintelligence," she says. "It's more: How do we come up with general methods to develop intelligence for solving particular problems?" Cat intelligence, for instance, is general in that it will never encounter some new problem that makes it freeze up or fail. "I find that level of animal intelligence, which involves incredible agility in the world, fusing different sensory modalities, really appealing. You know the cat is never going to learn language, and I'm okay with that."

Hadsell wants to build algorithms and robots that will be able to learn and cope with a wide array of problems in a specific sphere. A robot intended to clean up after a nuclear mishap, for example, might have some quite high-level goal"make this area safe"and be able to divide that into smaller subgoals, such as finding the radioactive materials and safely removing them.

I can't resist asking about consciousness. Some AI researchers, including Hadsell's DeepMind colleague Murray Shanahan, suspect that it will be impossible to build an embodied AI of real general intelligence without the machine having some sort of consciousness. Hadsell herself, though, despite a background in the philosophy of religion, has a robustly practical approach.

"I have a fairly simplistic view of consciousness," she says. For her, consciousness means an ability to think outside the narrow moment of "now"to use memory to access the past, and to use imagination to envision the future. We humans do this well. Other creatures, less so: Cats seem to have a smaller time horizon than we do, with less planning for the future. Bugs, less still. She is not keen to be drawn out on the hard problem of consciousness and other philosophical ideas. In fact, most roboticists seem to want to avoid it. Kormushev likens it to asking "Can submarines swim?...It's pointless to debate. As long as they do what I want, we don't have to torture ourselves with the question."

Pushing a star-shaped peg into a star-shaped hole may seem simple, but it was a minor triumph for one of DeepMind's robots.DeepMind

In the DeepMind robotics lab it's easy to see why that sort of question is not front and center. The robots' efforts to pick up blocks suggest we don't have to worry just yet about philosophical issues relating to artificial consciousness.

Nevertheless, while walking around the lab, I find myself cheering one of them on. A red robotic arm is trying, jerkily, to pick up a star-shaped brick and then insert it into a star-shaped aperture, as a toddler might. On the second attempt, it gets the brick aligned and is on the verge of putting it in the slot. I find myself yelling "Come on, lad!," provoking a raised eyebrow from Hadsell. Then it successfully puts the brick in place.

One task completed, at least. Now, it just needs to hang on to that strategy while learning to play Pong.

This article appears in the October 2021 print issue as "How to Train an All-Purpose Robot."

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How DeepMind Is Reinventing the Robot - IEEE Spectrum

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BREEZE BOOKS ‘How to Mars’ follows six space travelers on the journey to the Red Planet – Valley Breeze

Posted: at 5:30 pm

Mars, the Red Planet, is hot. Not just thermally, but also culturally. Current news of the Perseverance Rover titillates us. The Martian, a surprise bestselling novel by Andy Weir became a hit movie starring Matt Damon.

Author David Ebenbach enters this space with the cheekily titled How to Mars. As the title implies the novel reads like a Mars for Dummies entry co-authored by Ray Bradbury and Larry David. Ebenbachs imaginative, witty tale was launched from his reading about the Mars One project, a private companys attempt to send civilian colonists on a one way journey to the Red Planet. Mars One flamed out being declared bankrupt and dissolving in 2019.

The author engages in a fanciful what if? scenario and follows the exploits of six volunteers who survive the rigorous vetting and training process conducted by Destination Mars!, a private entity owned by an unnamed eccentric billionaire. The six space travelers, three men and three women, bring with them varied disciplines; astrophysicist, psychologist, botanist, geologist, engineer and medical doctor. They also bring varied, sometimes dark, reasons for having made the decision to leave Earth permanently and live out their lives on Mars.

While the tale is told from multiple points of view with each citizen/astronaut providing details, it is Josh, the psychologist, who is the primary narrator. In the very first sentence Josh reveals that Jenny, the astrophysicist, is pregnant on Mars. He also knows two more things; he has to be the father and the pregnancy goes against the stern warnings in the unofficial Destination Mars! handbook.

Ah, the unofficial Destination Mars! handbook! Written by the founder of the Destination Mars! corporation this document is hilariously splattered throughout How to Mars. Its droll observations, quirky comments plus multiple charts and diagrams fill a substantial portion of this 236-page novel.

Two examples from Section 9 of the unofficial Destination Mars! handbook titled, What You Cant Bring With You :

You cannot bring your favorite chair, with the body dents already in place.

No full length curtain that your mother crocheted.

While Ebenbachs bent is toward wit, there are serious undertones in How to Mars. We learn of Jennys bipolar sister who committed suicide and Joshs fiancee who perished in a car accident. Each character has a backstory which led them to depart planet Earth.

Then there are The Patterns. Ebenbach skillfully, hauntingly addresses the issue of life on Mars by creating the amorphous, everywhere and nowhere, presence he calls The Patterns. Are they real or imagined? Evil or compassionate? What has the human invasion done to them and their planet?

The publication of How to Mars comes as the trio of Citizen Space Cadets: Branson, Bezos and Musk race to be the first private citizens to circle in space above the Earth in their search for an undefinable higher status.

In his Afterwords Ebenbach concludes, this novel was (and is) supposed to be about all of us ... trying to figure out what to do with the lives that have been handed to us. Thus How to Mars is also supposed to be about how to Earth. How to human. How to be.

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BREEZE BOOKS 'How to Mars' follows six space travelers on the journey to the Red Planet - Valley Breeze

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Surviving Mars Update 1.29 Patch Notes – Attack of the Fanboy

Posted: at 5:30 pm

Update 1.29 has arrived for Surviving Mars, and heres the full list of changes and fixes added with this patch.

Developer Haemimont Games has now released a new update for Surviving Mars today. If you are playing the PS4 version of the game, the patch number is 1.29. However, this is officially known as game version number 1008107.

One of the more interesting features of this new patch are Turkish translations. These translations are available for both the PS4 and PS5.

Other than that, several vital bug fixes have been made. This includes two fixes that made the game crash for no reason. You can read the full patch notes below.

Notes

-The in-game bug reporting tool has been removed in favour of an automatic system-PlayStation 4 and 5 now have Turkish translations

Bug Fixes

-Fixed the game crash after loading a save game with invalidated drones.-Fixed the game crash when a player selects the Rock Formation object on an old retail save.-Fixed missing Terraforming tech tree in the old saves.-Fixed the Advanced Martian Engines tech adding 20 fuel to Cargo Rockets.-Fixed the Transport Optimization tech not adding extra cargo space.-Fixed the description of the Banner mentioning Mars while on an asteroid map.-Fixed the Cave of Wonders description.-Fixed the Lander rocket disappearing when the Rough Touchdown event occurs.-Improved feedback when the Asteroid Lander requires maintenance.-Fixed ramps being instantly built.-Fixed the progress bar of Required Waste Rock not changing while flattening.-Fixed the problem when a fired worker immediately returns to work.

And several other underlying code fixes that were presumably causing bugs, especially to save games from before the update.

Known issues

-Incorrect value of Excess Waste Rock is displayed when Flatten in progress.-The limit for colonists being allowed through the elevator is too low.-Crash on certain Mac versions.

The following info taken above comes from theofficial Paradox forums. Surviving Mars is out now for PC, Mac, PS4 and Xbox One.

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