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Are we witnessing the dawn of post-theory science? – The Guardian

Isaac Newton apocryphally discovered his second law the one about gravity after an apple fell on his head. Much experimentation and data analysis later, he realised there was a fundamental relationship between force, mass and acceleration. He formulated a theory to describe that relationship one that could be expressed as an equation, F=ma and used it to predict the behaviour of objects other than apples. His predictions turned out to be right (if not always precise enough for those who came later).

Contrast how science is increasingly done today. Facebooks machine learning tools predict your preferences better than any psychologist. AlphaFold, a program built by DeepMind, has produced the most accurate predictions yet of protein structures based on the amino acids they contain. Both are completely silent on why they work: why you prefer this or that information; why this sequence generates that structure.

You cant lift a curtain and peer into the mechanism. They offer up no explanation, no set of rules for converting this into that no theory, in a word. They just work and do so well. We witness the social effects of Facebooks predictions daily. AlphaFold has yet to make its impact felt, but many are convinced it will change medicine.

Somewhere between Newton and Mark Zuckerberg, theory took a back seat. In 2008, Chris Anderson, the then editor-in-chief of Wired magazine, predicted its demise. So much data had accumulated, he argued, and computers were already so much better than us at finding relationships within it, that our theories were being exposed for what they were oversimplifications of reality. Soon, the old scientific method hypothesise, predict, test would be relegated to the dustbin of history. Wed stop looking for the causes of things and be satisfied with correlations.

With the benefit of hindsight, we can say that what Anderson saw is true (he wasnt alone). The complexity that this wealth of data has revealed to us cannot be captured by theory as traditionally understood. We have leapfrogged over our ability to even write the theories that are going to be useful for description, says computational neuroscientist Peter Dayan, director of the Max Planck Institute for Biological Cybernetics in Tbingen, Germany. We dont even know what they would look like.

But Andersons prediction of the end of theory looks to have been premature or maybe his thesis was itself an oversimplification. There are several reasons why theory refuses to die, despite the successes of such theory-free prediction engines as Facebook and AlphaFold. All are illuminating, because they force us to ask: whats the best way to acquire knowledge and where does science go from here?

The first reason is that weve realised that artificial intelligences (AIs), particularly a form of machine learning called neural networks, which learn from data without having to be fed explicit instructions, are themselves fallible. Think of the prejudice that has been documented in Googles search engines and Amazons hiring tools.

The second is that humans turn out to be deeply uncomfortable with theory-free science. We dont like dealing with a black box we want to know why.

And third, there may still be plenty of theory of the traditional kind that is, graspable by humans that usefully explains much but has yet to be uncovered.

So theory isnt dead, yet, but it is changing perhaps beyond recognition. The theories that make sense when you have huge amounts of data look quite different from those that make sense when you have small amounts, says Tom Griffiths, a psychologist at Princeton University.

Griffiths has been using neural nets to help him improve on existing theories in his domain, which is human decision-making. A popular theory of how people make decisions when economic risk is involved is prospect theory, which was formulated by behavioural economists Daniel Kahneman and Amos Tversky in the 1970s (it later won Kahneman a Nobel prize). The idea at its core is that people are sometimes, but not always, rational.

In Science last June, Griffithss group described how they trained a neural net on a vast dataset of decisions people took in 10,000 risky choice scenarios, then compared how accurately it predicted further decisions with respect to prospect theory. They found that prospect theory did pretty well, but the neural net showed its worth in highlighting where the theory broke down, that is, where its predictions failed.

These counter-examples were highly informative, Griffiths says, because they revealed more of the complexity that exists in real life. For example, humans are constantly weighing up probabilities based on incoming information, as prospect theory describes. But when there are too many competing probabilities for the brain to compute, they might switch to a different strategy being guided by a rule of thumb, say and a stockbrokers rule of thumb might not be the same as that of a teenage bitcoin trader, since it is drawn from different experiences.

Were basically using the machine learning system to identify those cases where were seeing something thats inconsistent with our theory, Griffiths says. The bigger the dataset, the more inconsistencies the AI learns. The end result is not a theory in the traditional sense of a precise claim about how people make decisions, but a set of claims that is subject to certain constraints. A way to picture it might be as a branching tree of if then-type rules, which is difficult to describe mathematically, let alone in words.

What the Princeton psychologists are discovering is still just about explainable, by extension from existing theories. But as they reveal more and more complexity, it will become less so the logical culmination of that process being the theory-free predictive engines embodied by Facebook or AlphaFold.

Some scientists are comfortable with that, even eager for it. When voice recognition software pioneer Frederick Jelinek said: Every time I fire a linguist, the performance of the speech recogniser goes up, he meant that theory was holding back progress and that was in the 1980s.

Or take protein structures. A proteins function is largely determined by its structure, so if you want to design a drug that blocks or enhances a given proteins action, you need to know its structure. AlphaFold was trained on structures that were derived experimentally, using techniques such as X-ray crystallography and at the moment its predictions are considered more reliable for proteins where there is some experimental data available than for those where there is none. But its reliability is improving all the time, says Janet Thornton, former director of the EMBL European Bioinformatics Institute (EMBL-EBI) near Cambridge, and it isnt the lack of a theory that will stop drug designers using it. What AlphaFold does is also discovery, she says, and it will only improve our understanding of life and therapeutics.

Others are distinctly less comfortable with where science is heading. Critics point out, for example, that neural nets can throw up spurious correlations, especially if the datasets they are trained on are small. And all datasets are biased, because scientists dont collect data evenly or neutrally, but always with certain hypotheses or assumptions in mind, assumptions that worked their way damagingly into Googles and Amazons AIs. As philosopher of science Sabina Leonelli of the University of Exeter explains: The data landscape were using is incredibly skewed.

But while these problems certainly exist, Dayan doesnt think theyre insurmountable. He points out that humans are biased too and, unlike AIs, in ways that are very hard to interrogate or correct. Ultimately, if a theory produces less reliable predictions than an AI, it will be hard to argue that the machine is the more biased of the two.

A tougher obstacle to the new science may be our human need to explain the world to talk in terms of cause and effect. In 2019, neuroscientists Bingni Brunton and Michael Beyeler of the University of Washington, Seattle, wrote that this need for interpretability may have prevented scientists from making novel insights about the brain, of the kind that only emerges from large datasets. But they also sympathised. If those insights are to be translated into useful things such as drugs and devices, they wrote, it is imperative that computational models yield insights that are explainable to, and trusted by, clinicians, end-users and industry.

Explainable AI, which addresses how to bridge the interpretability gap, has become a hot topic. But that gap is only set to widen and we might instead be faced with a trade-off: how much predictability are we willing to give up for interpretability?

Sumit Chopra, an AI scientist who thinks about the application of machine learning to healthcare at New York University, gives the example of an MRI image. It takes a lot of raw data and hence scanning time to produce such an image, which isnt necessarily the best use of that data if your goal is to accurately detect, say, cancer. You could train an AI to identify what smaller portion of the raw data is sufficient to produce an accurate diagnosis, as validated by other methods, and indeed Chopras group has done so. But radiologists and patients remain wedded to the image. We humans are more comfortable with a 2D image that our eyes can interpret, he says.

The final objection to post-theory science is that there is likely to be useful old-style theory that is, generalisations extracted from discrete examples that remains to be discovered and only humans can do that because it requires intuition. In other words, it requires a kind of instinctive homing in on those properties of the examples that are relevant to the general rule. One reason we consider Newton brilliant is that in order to come up with his second law he had to ignore some data. He had to imagine, for example, that things were falling in a vacuum, free of the interfering effects of air resistance.

In Nature last month, mathematician Christian Stump, of Ruhr University Bochum in Germany, called this intuitive step the core of the creative process. But the reason he was writing about it was to say that for the first time, an AI had pulled it off. DeepMind had built a machine-learning program that had prompted mathematicians towards new insights new generalisations in the mathematics of knots.

In 2022, therefore, there is almost no stage of the scientific process where AI hasnt left its footprint. And the more we draw it into our quest for knowledge, the more it changes that quest. Well have to learn to live with that, but we can reassure ourselves about one thing: were still asking the questions. As Pablo Picasso put it in the 1960s, computers are useless. They can only give you answers.

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QAD Partners with MothersonSumi INfotech & Designs Limited (MIND) to Sell and Deliver Services – Business Wire

SANTA BARBARA, Calif.--(BUSINESS WIRE)--QAD Inc., a leading provider of next-generation manufacturing and supply chain solutions in the cloud, today announced it has added MothersonSumi INfotech & Designs Limited (MIND) as part of its growing global partner ecosystem. MIND is part of the technology and industrial solutions division of Motherson Group. Under the terms of the partnership, MIND will sell, implement and support the QAD Adaptive Applications portfolio of cloud solutions, including QAD Adaptive ERP, in the APAC and EMEA geographic regions.

"MIND has been implementing and supporting QAD solutions at many of Motherson Group companies worldwide and as a result has gained deep knowledge and expertise in QAD. This proven success will be extremely valuable for our current and future customers," said QAD Vice President, Global Partner Strategy and Management Mohan Ponnudurai. Expanding this relationship further, combined with its manufacturing knowledge and know-how, would allow MIND to bring solutions that support digital transformation. We will leverage their experience with our solutions to help manufacturers build value with QAD Adaptive ERP in the cloud.

"We are happy to be partnering with QAD as one of their trusted partners in the APAC and EMEA regions," said MIND CEO Rajesh Thakur. "We believe that our two-decade long experience of providing IT services to Motherson Group and proven success in the regions will help accelerate the deliverance of QAD's comprehensive portfolio of agile, cloud-based ERP solutions to our customers."

QAD partners expand the QAD ecosystem and strengthen its strategic position in the industries that it serves. QAD and its partners continuously evolve, broadening QAD's expertise and footprint to meet the diverse needs of customers around the world. The QAD Global Partner Network includes over 100 partners including technology, software, channel and consulting partners.

About QAD Enabling the Adaptive Manufacturing Enterprise

QAD Inc. is a leading provider of next-generation manufacturing and supply chain solutions in the cloud. Global manufacturers face ever-increasing disruption caused by technology-driven innovation and changing consumer preferences. In order to survive and thrive, manufacturers must be able to innovate and change business models at unprecedented rates of speed. QAD calls these companies Adaptive Manufacturing Enterprises. QAD solutions help customers in the automotive, life sciences, consumer products, food and beverage, high tech and industrial manufacturing industries rapidly adapt to change and innovate for competitive advantage.

Founded in 1979 and headquartered in Santa Barbara, California, QAD has 30 offices globally. Over 2,000 manufacturing companies have deployed QAD solutions, including enterprise resource planning (ERP), digital supply chain planning (DSCP), global trade and transportation execution (GTTE), quality management system (QMS) and strategic sourcing and supplier management, to become an Adaptive Manufacturing Enterprise. To learn more, visit http://www.qad.com or call +1 805-566-6100. Find us on Twitter, LinkedIn, Facebook, Instagram and Pinterest.

"QAD" is a registered trademark of QAD Inc. All other products or company names herein may be trademarks of their respective owners.

About MothersonSumi INfotech & Designs Limited (MIND)

Founded in 2000, MothersonSumi INfotech & Designs Limited (MIND) is a joint venture between Motherson Group, India and Sumitomo Wiring Systems Ltd, Japan (SWS). We are a trusted technology partner to over 200+ clients globally across 41+ Global locations and have more than 20 years of experience in the areas of cloud, IoT, analytics, data science, smart ERP, infra managed services, and application development & maintenance services. We continue to deliver innovative and meaningful technology solutions to businesses enabling them to outpace the competition. Visit us at http://www.mind-infotech.com, or connect with us on LinkedIn, Twitter, or Facebook.

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The Enformer vs the Basenji – The AI Algorithms for gene expression predictions – Analytics India Magazine

DeepMind and Alphabet at Calico introduced a neural network architecture called Enformer that greatly improved the accuracy of predicting gene expression based on DNA sequence.

In the paper Effective gene expression prediction from sequence by integrating long-range interactions published in Nature Methods, DeepMind suggested that Enformer is more accurate than Basenji.

The basic building blocks of gene expression have typically been convolutional neural networks. They have, however, been limited in their ability and effectiveness to model due to the effects of distal enhancers on gene expression.

So Deepmind depends on Basenji2, built on TensorFlow, which offers a variety of benefits, including distributed computing, a large and adaptive developer community, and is designed to predict quantitative signals using regression loss functions, rather than binary signals using classification loss functions.

The best part of Basenji is that it could predict the regulatory activity of 40,000 base pair DNA sequences at a time.

Enformer, on the other hand, relies on a technique common to natural language processing from Google called Transformers to take into account self-attention mechanisms that would be able to integrate much more DNA context. As Transformers can read long text passages, DeepMind modified them to read DNA sequences of vastly extended length.

Enformer outperformed the best team on the critical assessment of genome interpretation challenge (CAGI5) for noncoding variant interpretation despite no additional training. Furthermore, Enformer learned to predict promoter-enhancer interactions directly from DNA sequences, competing with methods that took direct experimental data as input.

In the case of training, DeepMind used Sonnet to construct neural networks used for many different purposes. It is defined in enformer.py.

DeepMind pre-computed variant effect scores for all frequent variants (MAF>0.5%, in any population) and stored them in HDF5 files per chromosome for the HG19 reference genome under the 1000 genomes project. Additionally, they provide the top 20 principal components of variant-effect scores per chromosome in a tabix-indexed TSV file (HG19 reference genome). These files have the following columns:

Hopefully, these advances will enable better mapping of growing human disease associations to cell-type-specific gene regulatory mechanisms and provide a framework to understand how cis-regulatory evolution works.

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The Enformer vs the Basenji - The AI Algorithms for gene expression predictions - Analytics India Magazine

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LaChanze on Alice Childresss "Trouble in Mind" – The New York Times

As a student and young actor, I was astonished that the canon of Black American writers and artists that so richly shaped my artistic life were mostly unknown and so poorly understood. The plays director, Charles Randolph-Wright, the first Black director with whom I have worked as a leading actor on Broadway, shepherded this project for 15 years. He also read the play in college and fell in love with Childresss unapologetic writing.

He is the champion of Trouble in Mind. Charles, who studied at Duke University and with the Royal Shakespeare Company in London, and danced with Alvin Ailey in New York, was told many times that he could not make this happen. It is as if, with her words in the play, Childress wrote directly to Charles six decades ago, Im sick of people signifyin we got no sense. Charles wants to give her the voice she should have had before he and I were born.

In our many conversations, I am invigorated in speaking to him about Black representation in the entertainment industry. Working with a director who I feel lives in my head is thrilling. My private thoughts that Im sometimes too shy to share, Charles boldly speaks them before I can even get them out. Much like Childress, Charles is committed to telling the truth in his work and in having multidimensional portrayals of Black people, not just the broad strokes we see. And quite frankly, were both tired of seeing these examples. In my own career, Ive taken jobs I didnt want to do, but I had to play these parts because I needed a job.

I get to work with a dedicated, resilient Black director, and a fearless, committed cast. Childress wanted to speak for the have-nots, the invisibles, and to share her eloquence with the Broadway community and universities across the world. She used her play about Black actors to explore the values of America. But some people werent ready, and so many people never got to hear her words. Now I proudly stand on her shoulders, opening my soul to her and teaching my daughters and other lovers of truth about her brilliance.

Some live by what they call great truths, Wiletta says in the play. Ive always wanted to do somethin real grand in the theater to stand forth at my best to stand up here and do anything I want

And thats exactly what Alice Childress did.

LaChanze won the Tony Award for best actress in a leading role in a musical in 2006 for The Color Purple. In 2019, LaChanze and her eldest daughter, Celia Rose Gooding, became one of the few pairs of mothers and daughters to perform on Broadway as leading actors in the same season.

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Gal Gadot officially regrets the cursed Imagine video – i-D

When the coronavirus pandemic and its subsequent lockdowns first took over the world nearly two years ago it birthed a multitude of oddities, from awkward enforced weekly Zoom quizzes to gifting health workers non-refundable clapping from our front doorsteps. But while the majority of us became sourdough bread specialists, the most deranged reactions came from celebrities, who took to social media to accidentally advocate for eugenics (Vanessa Hudgens) or cry about a delay to their album release (Dua Lipa). But the prize for the most cringe post of the early pandemic era belongs to, of course, the Gal Gadot-led Imagine video.

Spearheaded by the Wonder Woman actress and Bridesmaids Kristen Wiig and featuring a smorgasbord of stars Jamie Dornan, Natalie Portman, Ashley Benson, Kaia Gerber, Cara Delevingne, Zo Kravitz those benevolent millionaires each hoped to cheer the world with an awkwardly-sung line of the John Lennon song from the comfort of their Selling Sunset-style homes. Naturally, the video was slammed across social media; now, almost 2 years later, Gal has finally admitted that the video might have been a mistake.

Speaking to InStyle, after recently parodying the video during her acceptance speech at the Elle Women in Hollywood Awards, Gal said: I was calling Kristen [Wiig] and I was like, "Listen, I want to do this thing." The pandemic was in Europe and Israel before it came [to the US] in the same way. I was seeing where everything was headed. But [the video] was premature. It wasn't the right timing, and it wasn't the right thing. It was in poor taste. All pure intentions, but sometimes you don't hit the bull's-eye, right?

In truth, looking back since Gal posted it on Instagram in March 2020, the cursed video has only aged worse to the extent that, in a way, its almost swung back round to camp. In a little intro Gal sighs as if she hasnt seen another human soul in months, when in fact shes in day six of quarantine. She then says the past less-than-a-week-of-isolation has got her feeling philosophical. The deep mind-blowing philosophical realisation? The virus affects everyone. Between Sia over-singing the hell out of her two lines to Mark Ruffalos struggle to figure out his selfie camera angles, the video is essentially the equivalent of those 1 like = 1 prayer posts your aunt still shares on Facebook.

Though the intention behind the video may have been sincere, watching the ridiculously rich act like the pandemic had put us all in the exact same situation and that the only things they had to contribute were vibes and positive energy felt in pretty poor taste. Especially when other celebs, like our queen Britney, were offering struggling fans money. As i-D editor Risn Lanigan wrote at the time: Rather than rushing to push content into the world which doesnt actually help anyone, it might first be best to take some time and consider how your platform, and your millions of dollars of income, could be put to better use.

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I testified to help the prosecution send Louise Woodward to jail for murder but I changed my mind, says… – The Sun

A DOCTOR has told how he changed his mind after testifying to help send teen nanny Louise Woodward to jail for murder.

The Brit, then 18, was convicted of murdering eight-month-old Matthew Eappen by shaking him to death and was jailed for life in 1997.

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She was then freed 279 days later in a shock ruling when the judge downgraded the verdict to manslaughter.

Twenty-five years on and opinion is still divided about what happened on that fateful day as Louise and from Elton, Cheshire, looked after two children at their US home near Boston, Massachusetts.

At her trial, expert prosecution witnesses claimed Matthews injuries, including a cracked skull, displayed the triad of symptoms consistent with him being violently shaken.

And one expert, Dr Patrick Barnes, testified this was the classic model of shaken baby syndrome (SBS), dismissing the defences argument that Matthews injuries had been sustained at an earlier date.

But in a new Channel 4 documentary, The Killer Nanny: Did She Do It?, the medic reveals he has since changed his mind and says the science behind the diagnosis of SBS is flawed.

In the three-parter, which starts tonight, he said: I was very strong, that it had to be shaken baby syndrome.

"I cant (now) give testimony that would convict Louise Woodward beyond a reasonable doubt. I shouldnt have done that.

Dr Barnes, who now regrets dismissing the theory of an older injury at Louises trial, believes that rigid training around SBS is at fault for previous mistakes.

He explained: My teachers had taught me that shaken baby syndrome produces characteristic findings, the so-called triad.

"Because we were biased by the triad representing shaken baby syndrome, we would not believe the (other) story.

Others, however, disagree.

Prosecution lawyer Gerry Leone told the Sun: Theres no question in my mind that Louise Woodward was responsible for killing Matthew.

The defence took dissociated and sometimes random pieces of facts to create a story which would steer the evidence away from Louise Woodward.

But in the end, 12 people who never met each other found that she was responsible, beyond reasonable doubt.

The argument around shaken baby syndrome has raged on in both Britain and the US ever since.

Some experts are still adamant that the triad of symptoms exhibited by Matthew bleeding on the brain, swelling of the brain and bleeding in the eyes point to deliberate abuse.

But critics have argued that these symptoms could have many other causes, including accidental falls and rare genetic conditions.

British human rights lawyer Clive Stafford Smith has been representing parents and carers accused of SBS since 1995, when he successfully appealed the case of a father on death row.

He told The Sun: When it comes to shaken baby syndrome there is no science, it is latter-day voodoo.

Its based on a 1972 hypothesis by British neurologist Norman Guthkelch, and it was just a hypothesis, with no factual basis on which to prove it.

Before he died two years ago, he said how horrified he was that his theory had been accepted as fact and sent so many people to prison.

Clive says bleeds on the brain can be caused by very little trauma and that the triad theory is stupid.

He explained: If youre a little infant or a small child of 2ft 6in and you fall off a 3ft height, your head is going to hit the floor at about 15mph, faster than you and I can sprint.

If you sprint into a wall, you could do serious damage, so to say an infant cant sustain a fatal head injury from that sort of fall is self-evidently false.

Theres no question in my mind Louise Woodward was responsible for killing Matthew. 12 people found that she was responsible, beyond reasonable doubt.

Louise was just 18 when she travelled to the US on a gap year, eventually working for Debbie and Sunil Eappen, both doctors, as nanny to Brendan, three, and baby Matthew.

Louise loved the job and apparently doted on the children.

They were adorable, she says in a clip from a 2003 interview on TVs Panorama: Brendan was very bright and chatty, you could have a conversation with him. And Mattie was a sweet baby, very smiley and playful.

It was on the afternoon of February 4, 1997, that Matthew was rushed to hospital after a panic-stricken Louise rang for an ambulance, saying he was not breathing.

As he lay in a coma, Louise was arrested on suspicion of child abuse. When he died five days later the charges were upped to murder.

Lead detective Bill Byrne told the documentary Louise had admitted to being frustrated because Matthew was crying, and claims she said, Maybe I was a little rough with him.

British-born lawyer Elaine Whitfield Sharp took on Louises case after concluding she was too small, with tiny hands, to do so much damage to a 22lb butterball of a baby.

She said: For this little person to have shaken this big baby with such violence, it didnt make any sense. In the run-up to the trial, in October 1997, a huge swell of support in the UK was led by the residents of her home town.

But in the US she was branded a murderer. Prosecutors painted her as an irresponsible teen who liked to party and had a grudge against the Eappens after they insisted on a curfew.

The court heard Matthew had a 2.5in crack in his skull and that his head had been violently shaken for a prolonged period.

Defence lawyers cited the lack of bruises on his arms, abdomen, chest or legs, which would have been there if someone had picked him up to shaken him with force.

Expert witnesses also testified that the lack of fresh bleeding on the brain indicated the skull fracture was an older injury.

I was very strong, that it had to be shaken baby syndrome. I cant (now) give testimony that would convict Louise Woodward beyond a reasonable doubt.

Louise told paramedics at the scene that Matthew had been lethargic, had not been eating and had been screaming a lot all symptoms of a previous injury.

Neurosurgeon Dr Ronald Uscinski, who gave evidence for the defence, said: What I saw was that the injury was not a fresh injury.

No matter what they said, it could not have happened on that day. We gave them science and the prosecution gave them hysteria.

Defence barrister Barry Sheck tells the documentary the trial was a huge witch-hunt, adding: They locked her up on the basis of false assumptions about violent shaking and what you need to cause a skull fracture. Its crazy.

Prosecutor Gerry Leone dismisses Dr Barnes U-turn as irrelevant to the case.

He told The Sun: The evidence was clear and the jury found beyond reasonable doubt that not only did she engage in a violent shaking of Matthew that caused devastating injuries to his eye, brain and other parts of his body but that he was violently slammed against a hard object, causing a 2.5in fracture to the back of his skull.

At the trial, Louises own seeming aloofness when cross-examined, and the fact that she laughed when questioned about Matthews death, turned many against her.

She later explained: I was told not to show any emotion, because the prosecutors were trying to paint me as a volatile person. I wasnt being aloof, I was just frightened. I was scared and inhibited.

She was found guilty and sentenced to life.

But in a shock move days later the judge overturned the verdict and sentenced her to 279 days, the stretch she had already served awaiting the trial.

I never ever forget, in all this, that a little boy died. I genuinely feel really sorry about that.

Gerry insists the judges leniency was an affront to justice. He can make whatever decision he wants under the law in that regard, he says.

But I tried a father accused of killing a baby in a similar case a year to the day before this one, and he is still in jail.

From my perspective, that is contradictory to releasing Louise Woodward for doing less time in jail then Matthew Eappen lived on this planet.

The Eappens went on to have two more children.

After returning to the UK, Louise, now 43, studied law and went on to marry and have children of her own.

In her only TV interview since, she said: I never ever forget, in all this, that a little boy died. I genuinely feel really sorry about that.

The whole thing has just been such a trauma and I certainly havent forgotten about him.

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Live Whole Health #105: Paced breathing – VAntage Point – VAntage Point Blog

Did you know that we take 12-20 breaths per minute on average? Its amazing to think that we have the natural powers to thrive simply by taking deep full breaths throughout our day. This is called paced breathing, which is slowing your breath down mindfully to focus on the length of the breath.

The purpose of our breath is to transport oxygen to our cells and to get rid of waste, such as carbon dioxide. Science reveals that your breath is an access point to regulating your nervous system. For instance, when we breathe steadily we can calm our nervous system. When we hold our breath, we build up carbon dioxide in our body, which causes cells and the respiratory center of our brain to become distressed.

Paced breath has the potential to calm your mind and body. This type of breathing exercise can be used in a pinch when youre feeling overly exerted, anxious or distressed. Paced or slower breathing practices support greater brain function, an improved mood, hormone balance and the overall feeling of wellbeing.

Take a moment to listen to Dr. Tracy Gaudets 8-minute video, where she shares more about how breathing helps with healing and stress reduction. Dr. Gaudet introduces the 4-7-8 breathing technique to bring the body, mind and spirit back to a more balanced state. This technique focuses on paced breathing, allowing your exhale to be longer than your inhale. It can create a sense of relaxation in the mind and ease distress.

Find a quiet place to practice, make sure youre seated comfortably with good posture, and try to keep your focus on your breath. If you do lose your focus during the practice, just simply return to your breath.

For more information on self-care through the Whole Health Components of Health and Well-Being, check out our videos here: Whole Health Videos Whole Health (va.gov).

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Rep. Perlmutter says he won’t seek reelection in November | TheHill – The Hill

Rep. Ed PerlmutterEdwin (Ed) George PerlmutterCongress to take up marijuana reform this spring Photos of the Week: Former Sen. Dole lies in state, Capitol sunset and Instagrinch Group aligned with House GOP leadership targeting nine Democrats on spending vote MORE (D-Colo.)said Monday he will retire from Congress after his current term, joining more than two dozen otherHouseDemocrats who have announced they will not seek reelection ahead of this year's midterm elections.

Perlmutter, 68, said in a statement that he has never shied away from a challenge but its time for me to move on and explore other opportunities.

There comes a time when you pass the torch to the next generation of leaders. Im deeply gratified that our bench in the 7th District is deep and fortunately we have a strong group of leaders who are ready and able to take up that torch, he added.

After much thought and consideration, I have decided not to run for reelection. Its been a privilege and honor of a lifetime to serve Colorado, the state I love and have always called home. pic.twitter.com/42vwPpN3cQ

Perlmutter's announcement follows Colorado's new congressional maps, which cut the 7th District from a 15-point Democratic lean to just 6 points,according to FiveThirtyEight.

The eight-term congressman said that despite his retirement, the district has the best of Colorado in it and even though the numbers are slightly tighter we will win.

Perlmutter is now the 26th House Democrat to announce plans for retirementfrom the House. By comparison, 13 House Republicans have announced they won't seek reelection.

The National Republican Congressional Committee (NRCC)added Perlmutter to its list of vulnerable Democrats in Novemberafter GOP candidate Glenn YoungkinGlenn YoungkinPandemic pushes teachers unions to center stage ahead of midterms Overnight Energy & Environment Virginia gears up for fight on Trump-era official Virginia Democrats prepare for rare confirmation fight over Wheeler MOREs win in the Virginia gubernatorial race.

Republicans have to flip just five seats to win control of the House in November.

NRCC spokeswoman Courtney Parellaargued that Perlmutter made the smart decision to retire rather than lose reelection in November, adding that the congressman knows House Democrats wont be in the majority after the midterm elections.

Perlmutter,who first entered Congress in 2007, touted a number of efforts during his time in the House,including pushing to expand renewable energy research, grow his states aerospace community and complete the VA Medical Center in Aurora.

The masthead of the Denver Post once said, Tis a privilege to live in Colorado and indeed it is, Perlmutter wrote. Its been a privilege and honor of a lifetime to serve Colorado, the state I love and have always called home.

House Speaker Nancy PelosiNancy PelosiSALT change on ice in the Senate Lawmakers take stock of election laws in wake of Jan. 6 anniversary Sunday shows - Voting rights in the spotlight after Jan. 6 anniversary MORE (D-Calif.)called Perlmutter a relentless advocate for Colorados top priorities, and said he showeddevoted leadership to the country and his constituents during his time in Congress.

He has brought to the Congress good faith and an open mind to help advance progress for American families while never unwilling to stand his ground, she added in a statement.

This story was updated at 4:56 p.m.

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How to Be a Fox: Secrets from the Baylands – Bay Nature

The Palo Alto Baylands are roughly three square miles in area, a little corner of relative wildness carved into the deep south end of San Francisco Bay where 15,000 years ago Columbian mammoths and dire wolves roamed a grassy river valley. Within the wetlands, a cement overflow channel fills with floodwater during heavy rains. A water treatment plant hums steadily and a drainage pipe, still wet with raccoon tracks from last night, sieves salt water into the wetlands. But between the channels and pipes, the Baylands are snarled with small trees and tall grasses gone blond with summer heat: perfect habitat for Urocyon cinereoargenteus townsendi, the Townsends gray fox.

Gray foxes are elusive but not rarein the last year alone, citizen scientists logged nearly 350 sightings of foxes on the iNaturalist biodiversity map of the greater Bay Area. Families of foxes have resided on the Facebook headquarters campus since it opened in 2011, gaining a broad online following of enthusiasts. In 2015, a solitary gray fox became a local news celebrity at San Franciscos Presidiothe first sighting within the park in over a decade. (Around the early 2000s coyotes, which are not above making a snack out of a fox, began making a comeback in the city.) But the Palo Alto Baylands, one of the largest fragments of intact marshland remaining in San Francisco Bay, are the nucleus for what we know about the local lives of these shy animalsin the same way that Tanzanias Gombe Stream National Park became the geographic heart for the worlds understanding of wild chimpanzees. And just as Gombe had Jane Goodalls sharp-eyed attention, the Baylands have their own documentarian, too.

Bill Leikam, the fox guy, unlatches the casing for one of his wildlife cameras in the predawn gloom just past the end of Palo Altos Embarcadero Road. The smell of the marsh settles around us: bitter willow, pungent eucalyptus. The coffee hasnt yet hit my bloodstream, but Leikam deftly slides out the memory card and inserts a new one with the spry fingers of someone accustomed to rising early. For 12 years, Leikama high school English teacher turned trailblazing citizen scientisthas watched the Baylands gray foxes. The foxes, indisputably, have watched him back.

Leikams pointing finger throws a heavy shadow across his headlamp beam as he gestures toward the brush at the edge of the path, showing me where, generations ago, he first met Squat, an inquisitive fox that allowed Leikam to linger and watch him go about his daily deeds. Leikam assigns names to the animals he watches: a warmer kind of science than numbers. Squat, Leikam tells me, taught me the basics of being a fox.

The observations that Leikam makesdutifully, every day at dawn and duskare examples of ethology, the study of animal character. The earliest ethologistsNikolaas Tinbergen, Konrad Lorenz, Karl von Frischwere interested in individual variance. Like butterfly collectors, they wanted to catalog the dazzling diversity of animal behavior not as measured in a lab, but as witnessed in the full and complex context of the natural world. When they were jointly awarded the 1973 Nobel Prize in Physiology or Medicine, it was for their work in decoding the information that animals pass to each other. Ethology, even now, says Robert Sapolsky, neurobiologist at Stanford University, is the process of interviewing an animal in its own language.

Every month, Leikam types up his field notes, and they have become a chronicle of family dramas and tender gestures and nightly hunts. Leikam knows where the foxes nap in the crooks of trees, anticipates their shift from syrupy summer fruits to the rich meat of their winter diet, watches their tails sweep from side to side when they are happy, sees where they bury their food and cleanly mark the edges of their territory, listens to them call out to one another in hoarse and raspy voices. The Baylands landscape is pressed deeply with the prints of generations, and Leikams reports are enough to fill a textbook. But, much as naming the animals shifts the relationship between scientist and subject, Leikams intimate and long-spanning observations shift the focus of natural history from that of understanding species to that of understanding individuals, with interwoven communities and kaleidoscopic nuance. When specific populations are watched with a patient gaze, generalities come apart, Leikam says.

It was in 2014, when December was drawing new grass up through the Baylands mud, that Leikam first came to understand how different foxes are from one another. Rain had flooded a low-lying area beneath a tangle of willow branches, and Leikam had sloshed through it on his way to his next field camera. But three foxesall following him, as the foxes in the Baylands often did for Leikams daily roundshesitated. Gray foxes do not like water. Leikam watched each fox approach the dilemma independently. A teenage pup splashed through water to catch up with Leikam, but Dark Eyesthe alpha female of the whole regionstuck to the edge of the puddle, avoiding the wettest places. Meanwhile, Cute leaped sideways to a low bough and threaded her way across the flooded area along tree branches, keeping her paws dry. Leikam used to think that foxes were running on instinct, he confides as we scuff across the now-dry puddle, but theyre as individual as you or me. They can make choices about how they want to behave, and they can also make choices about the futureLeikam has watched the foxes that often accompany him at a curious distance on his morning rounds take shortcuts in order to meet him at his next wildlife camera site: evidence that they can remember, foresee, strategize, and plan.

The gray foxes of the Baylands, with their bright minds and curious behavior, have shown Leikam how to be a fox, but the rulebook is full of exceptions. Out in the marsh, near the tall eucalyptus west of Charleston Slough, Little One and Brownie raised two litters together. Their family was the first documented fox family in the area with a helpera lone female, often a grown pup without her own territory, who sticks around to assist in raising another pairs pups. Since that time, other helpers have been observed, and successful litters have been raised with their assistance. Little One couldnt have anticipated that Brownie would disappear one day with Helper and never return. He set up a den with his new mate out among the sweet fennel and wild oats in the Emily Renzel Wetlands. For a long time afterward, Little One would go wandering in that direction, maybe looking for her lost mate, until eventuallyperhaps understanding what had come to passshe crept away. Gray foxes are socially monogamous for life, meaning they stick with their partners and work together until death parts them. Studies have shown that occasionally gray foxesmale and female bothwill stray from their territory to mate with other foxes during the breeding season, but they return and care for their young together, often exhibiting extraordinary tenderness. Brownies divorce from Little One was something different, and in Leikams experience, unprecedented.

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The spectrum of fox behavior is not unlike the landscape these animals inhabit in the Baylandswell-traveled trails, with a tangly wilderness of possibilities on either side. Alongside the occasional infidelity, theres a capacity for deep family bonds. In 2013, among the dry willows on the Matadero Creek floodplain, two siblings learned together how to be foxes, strong and limber. Bright Eyes would leap at her brother Dark Face, who would spin and run toward her. They would skate to a halt, facing each other with bobbing heads, then leap again into the chase. Together, they wrestled beneath the trees and wove through the dead branches like dancers.

When Leikam found a bundle of fur by the side of the road in the early hours of September 1, 2013a female gray fox knocked lifeless by a car in the nightit took him three days to acknowledge that it was the body of Bright Eyes. During that time, neither of Bright Eyes parents emerged from the bushes as usual to greet Leikam on his morning rounds. Her brother would return often to the floodplain near the trees where he and Bright Eyes used to play, looking out across the wide marsh. He limped on his left leg, perhaps clipped by the same deadly car as the siblings bounded together too close to moving traffic. Dark Face moved slowly, heavily, as if weighed down. They were family, Leikam wrote of the separated siblings, in the deep meaning of that word.

Both gentleness and violence punctuate the lives of gray foxes. A fox kiss is a universal gesture: a damp and delicate touch, nose tip to nose tip. Conversely, combat between foxes is ferocious. A fox fight is swiftin the time it takes to draw a deep breath, whole wars are begun and finished. Squat, the presiding Baylands alpha male, first presented his daughter to Leikam when she was still a pup. Squat emerged from the bushes and sat at the edge of the path, glancing behind himself until, a few minutes later, a pudgy little fox materialized. She touched snouts with her father and looked across the path at Leikaman introduction, of sorts. Bold soon earned her name, appearing alone to daringly watch Leikam while her siblings stayed hidden in the brush.

But when the time came in 2011for Bold to claim land for a den of her own, rather than dispersing, as is typical, she approached Squat and challenged him for his territory. All teeth and claws, Bold fought and defeated her father in mere seconds, taking possession of the same land where Squat had raised her. In the unruly moment that the fight lasted, Leikam captured a photograph of the violence: Bold airborne, mouth open, her teeth as luminous as a new set of knives. It was the stuff of Greek theaterthe ticking of the generational clock, a fathers conquest, the rise of a new empire. It is also the stuff of ethological breakthroughsbehavior like Bolds is phenomenally important in understanding social dynamics, says behavioral ecologist Marc Bekoff, professor emeritus at CU Boulder, who leans forward excitedly as he listens to me relay the story after I return from my adventure with Leikam. An observation like that could generate 20 theses in a heartbeat.

After overthrowing her father and claiming her natal territory, Bold became Mama Bold, and together she and her mate Gray reared families of their ownfive pups nearly every year, raised on warm milk and the dark meat of woodrats in the brushy neighborhood of Fox Hollow. The pups sharp teeth drew blood, so Mama Bold would often lie a few yards from the den. Gray would wander the marsh, returning with food, and he tended to parenting tasks in the den. When the pups were hungry, Gray would approach Mama Bold with a soft nudge, and she would return to feed them. Together, they taught their young how to climb trees, how to hunt. In quiet moments between duties, when Gray lounged in the clearing, Mama Bold would snuggle against him and lay her chin across his warm belly. Curled against each other like this, they would nap.

Betrayal, altruism, loyalty, grief. These are recognizable behaviors that reveal not only sharp intelligence, but a nuanced capacity for emotion that eclipses raw instinct. If gray foxes can abandon mates, mourn lost companions, care for young that are not their own, and live long lives in unbroken devotion to one another, perhaps the rulebook needs to be rewritten with attention paid not just to natural historyhierarchies, life spans, dietsbut with a deeper consideration for the life of the mind. Leikam has come to understand that these animals lead complex emotional and intellectual lives. He once watched a fox pup as it slept. All of a sudden, his hind leg went pop, and it was moving, and thats a signal that theyre dreaming I said, Whats going on in that little foxs mind?

Its a mystery Leikam is still working to unravel. He suspects that foxes might experience their world synesthetically: that is, that they blend their senses and might be able to smell sound or hear odor. With such keen tools of perception, a foxs mind might work in ways that science has yet to measure. Leikam has watched, for example, solitary foxes facing a frightening or challenging experience. Other foxes seem to know whats happening, and will arrive in times of need from long distances. What does a fox dream of? What can these animals hear or feel that we cannot?

These questions get at the heart of ethology, a field that has roots not just in muddy-booted natural history but in the study of the mind. Mid-century scientists called behaviorists were frustrated by the soft science of psychology, which at the time was a much more introspective, philosophical field than it is today. The behaviorists were keen to make psychology quantitative, to slim behaviors down into universal rules that could be applied across all species. Ethology arose in resistance to this. Where behaviorists sought clean uniformity, ethologists paid attention to variation. Where behaviorists tried to pinpoint rules, ethologists made theirs the study of exceptions. Their questionsthen and nowconsider individual motivations and individual minds. What its all about, says Stanfords Sapolsky, is recognizing that other species out there are functioning in sensory modalities we cant even guess at.

Leikam didnt think much of it when, in 2016, he started noticing goopy discharge in several foxes eyes. He made note of it, but he had witnessed the staggering strength of foxes immune systemstheir ability to heal swiftly from injured paws and the raw wounds from fights. Yet by the end of the year, 25 Baylands foxes turned up deadwiped out by a highly contagious viral infection called canine distemper.

Gray. Brownie. Little One. Dark Eyes. Mama Bold. Foxes disappeared entirely from the areawhole families, lost lineages. In their absence, Leikam watched the marsh change. Woodrats, jackrabbits, and field mice exploded in number. The meadows and trails busied with lizards, gopher snakes, gophers, voles, and squirrelsall of which Leikam watched transform the vegetation of the Baylands. He describes gray foxes as keystone predators: animals that, by virtue of their diet, keep whole ecosystems in check. Observations like Leikams lay the groundwork for understanding those systemic balances. You need these data in order to do behavioral ecology, Bekoff says. The fieldwork, he says, is foundational.

For two years and one month, Leikam kept up his daily walks, hoping for a reappearance. Occasionally, video would show up on one of the feeds: a vagabond fox moving through in the night, dark and smooth. But it wasnt until February of 2019 that foxes finally returned to stay. Now LaimosGreek for long neckand his mate Big Eyes have taken up residence at Matadero Creek. They have yet to have any pups.

This morning, Laimos approaches us in the dry overflow canal and sits nearby, watching us with glittering eyes. He yawns. Does the future of fox-kind in the Baylands weigh on his gray shoulders? Leikam would argue that more foxes will come, but only if corridors between fragmented marshy refugia can be planted with fox-friendly brush, and only if tracking collars can be used to help us better understand fox dispersal in the few remaining wildlands of the South Bay, both the work of Leikams nonprofit Urban Wildlife Research Project.

Gray foxes evolved between 8 and 12 million years ago, when the Grand Tetons first began forming and when disorderly Sierra Nevada canyons still filled with down-rushing volcanic lava flows. Gray foxes have been on this planet longer than all other canids; in evolutionary circles, they are called the basal canidthe original dog. Since their ancestry is rooted in a time before other canines, they cannot interbreed with other species in the manner of coyotes and wolves or wolves and domesticated dogs. To look at a gray fox is to look at an unbroken genetic lineage that goes back perhaps as far as 12 million years. A gray fox is an ancient thing.

During the last great ice age, the climate swings of the Pleistocene divided eastern and western gray fox populations. California became a refugium where species took shelter from an increasingly arid continent and from an ice sheet that pressed across middle America like a two-mile-high earthmover.

Considering the landscape of the Bay Area todaypartitioned by highways, stitched together by bridges, patchworked with neighborhoods and tech empiresperhaps green spaces like the Palo Alto Baylands serve as another sort of refugia. Hemmed in on all sides by a landscape that looks very different than it did at the end of the Pleistocene, do gray foxes here continue to adapt to their environment? Occasionally, Leikam receives notes from biologists elsewhere, suggesting that seasonal diets or behaviors of the foxes they study are different from the findings in Leikams reports. The lives of Bay Area gray foxes, it would seem, are unique to Bay Area gray foxes.

Slow, observant science like Leikams is rare and important. Where other disciplines might seek averages, ethology recognizes specific stories. It is a tool for understanding localized natural history, intimately. Linger long enough, and the shy gray fox might reveal something to the patient observer that it has never shared before. Interview them in their own language, and these primeval first dogs might still have lessons for us: how to be a fox; perhaps how to better be human.

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Kansas State University: Your journey to leading in a data-driven world begins here – Study International News

The power of data cannot be understated. Today, every organisation is sitting on treasure troves of information that need to be analysed and converted into better organisational practices. The process of collecting, cleaning, analysing data and interpreting findings is called data analytics, and the experts in charge of these conversions are data analysts who are just as fundamental to a businesss success as they are in demand.

How else would business owners determine which products to develop, markets to enter, investments to make and consumers to target?

Data analysts are now found in various industries, such as business, finance, criminal justice, science, medicine, government and more. The U.S. Bureau of Labour Statistics confirms the boom, estimating 11.5 million jobs in the data science/analytics field to be created by 2026. Up to 364,000 job listings were projected in 2020 alone.

While opportunities are seemingly endless, the proper qualification will always be vital to measuring up. IBM confirms that nearly 40% of the openings in advanced data analytics require a masters degree or higher. According to PayScale, data analytics graduates command an average base salary of US$80,000 annually a figure sure to skyrocket with seniority. Despite attractive numbers, the fact remains with a job growth rate of 8.6%, there are more data-focused job opportunities today than graduates.

Kansas State Universitys (K-State) College of Business Administration has a STEM-designated Master of Science in Data Analytics designed to fill the skills gap quickly, effectively and in an interdisciplinary manner. To ensure the 30-hour programme is as comprehensive as can be, the college has partnered with K-States departments of computer science, economics, geography, industrial manufacturing systems engineering, mathematics and statistics.

Source: Kansas State University, College of Business Administration

The result? One robust, collaborative curriculum providing learners with the skills and knowledge needed to land lucrative, secure, future-focused careers. These professions typically revolve around providing companies with scientific and systematic methods of effective decision-making.

Nurturing these competencies are the required courses of: Programming Techniques for Data Science & Analytics, Intro to Econometrics, Big Data Analytics, Information Technology Strategy and Application, Business Analytics and Data Mining, Social Media Analytics and Web Mining, as well as Applied Marketing Analytics.

The Master of Science in Data Analytics offers two tracks: data science and applied analytics. Each comes with its own set of electives. Both line-ups were structured to provide maximum flexibility to complement academic backgrounds and accommodate professional goals.

The data science track offers electives in artificial intelligence, machine learning, pattern recognition, information retrieval, text mining, quantitative problem-solving techniques, the mathematics of data and networks, categorical data analytics, and more. The applied analytics track unlocks a breadth of knowledge in accounting analytics, economic forecasting, financial modelling, geographic information systems, internet GIS, geocomputation and advanced marketing analytics, amongst others.

Both paths lead learners toward bridging the gaps between data science, analysis skills and business management with confidence. Experiential learning opportunities make this possible. Throughout their programme, students also form enduring professional connections through course projects and research opportunities all over the state of Kansas.

The best part? They get a glimpse into their futures by rubbing shoulders with some of the industrys finest. The Graduate Studies Advisory Council is a Kansas State University hallmark that provides learners with countless opportunities to connect with executives from AT&T, Oracle, Textron Aviation, BNSF Railway, Steel & Pipe Supply Co., CSCS, AIB, ETC Institute, Civic Plus and more.

Engagement within the K-State community can be just as exciting. The College of Business Administration is home to an impressive line-up of academic advisors and career coaches ready to provide one-to-one support to learners excited to strategise their journey to success, much like the graduates before them once did 97% of which have successfully secured employment. Positions in more than 15 student organisations are also ready to be occupied by those keen on getting connected, exhibiting leadership or building their network.

If youre keen to fast-track a lucrative career in our data-driven world, learn more about the Master of Science in Data Analytics.

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Kansas State University: Your journey to leading in a data-driven world begins here - Study International News

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