Example Of Embedding Quotes

One emerging view of Homo sapiens among evolutionary biologists is that he has built a trap for himself by clinging to certain orthodoxies in a time of environmental emergency. A belief in cultural progress, for example, or in the propriety of a social animal’s quest for individual material wealth is what has led people into the trap, or so goes the thinking. To cause the trap to implode, to disintegrate, humanity has to learn to navigate using a reckoning fundamentally different from the one it’s long placed its faith in. A promising first step to take in dealing with this trap might be to bring together wisdom keepers from traditions around the world whose philosophies for survival developed around the same uncertainty of a future that Darwin suggested lies embedded in everything biological. Such wisdom keepers would be people who are able to function well in the upheaval of any century. Their faith does not lie solely with pursuing technological innovation as an approach to solving humanity’s most pressing problems. Their solutions lie with a profound change in what humans most value.

Audio of interview - http://www.youtube.com/watch?feature=... "Savile was not only abusing all children with or without disabilities in group settings or in hospital settings, he was also invoking belief systems, doing rituals, making children believe that he had extra powers and that if they didn't obey him they would be published in an after life." "There are special things in, especially, for example, Alistair Crowley that can be used to frighten children even more, but the use of cloaks, of making spells, of making threats, of threatening what will happen after death too is something that the 5 different people that spoke to me about Jimmy Savile said that he'd been part of." - Dr Valerie Sinason, Clinic for Dissociative Studies, London

My answer is that I’ve found it an absorbing example of how a society can cling to policies and practices that serve no rational purpose. They persist because they become embedded, usually bolstered by those who benefit. Nor are the issues entirely academic. Making mathematics a barrier ends up suppressing opportunities, stifling creativity, and denying society a wealth of varied talents.

The work I do is not exactly respectable. But I want to explain how it works without any of the negatives associated with my infamous clients. I’ll show how I manipulated the media for a good cause. A friend of mine recently used some of my advice on trading up the chain for the benefit of the charity he runs. This friend needed to raise money to cover the costs of a community art project, and chose to do it through Kickstarter, the crowdsourced fund-raising platform. With just a few days’ work, he turned an obscure cause into a popular Internet meme and raised nearly ten thousand dollars to expand the charity internationally. Following my instructions, he made a YouTube video for the Kickstarter page showing off his charity’s work. Not a video of the charity’s best work, or even its most important work, but the work that exaggerated certain elements aimed at helping the video spread. (In this case, two or three examples in exotic locations that actually had the least amount of community benefit.) Next, he wrote a short article for a small local blog in Brooklyn and embedded the video. This site was chosen because its stories were often used or picked up by the New York section of the Huffington Post. As expected, the Huffington Post did bite, and ultimately featured the story as local news in both New York City and Los Angeles. Following my advice, he sent an e-mail from a fake address with these links to a reporter at CBS in Los Angeles, who then did a television piece on it—using mostly clips from my friend’s heavily edited video. In anticipation of all of this he’d been active on a channel of the social news site Reddit (where users vote on stories and topics they like) during the weeks leading up to his campaign launch in order to build up some connections on the site. When the CBS News piece came out and the video was up, he was ready to post it all on Reddit. It made the front page almost immediately. This score on Reddit (now bolstered by other press as well) put the story on the radar of what I call the major “cool stuff” blogs—sites like BoingBoing, Laughing Squid, FFFFOUND!, and others—since they get post ideas from Reddit. From this final burst of coverage, money began pouring in, as did volunteers, recognition, and new ideas. With no advertising budget, no publicist, and no experience, his little video did nearly a half million views, and funded his project for the next two years. It went from nothing to something. This may have all been for charity, but it still raises a critical question: What exactly happened? How was it so easy for him to manipulate the media, even for a good cause? He turned one exaggerated amateur video into a news story that was written about independently by dozens of outlets in dozens of markets and did millions of media impressions. It even registered nationally. He had created and then manipulated this attention entirely by himself.

Those very same metadata are contained in millions of photographs posted to sale and auction sites such as Craigslist and eBay. For example, a photograph of a diamond ring or an iPad posted on Craigslist might have embedded with it the precise location of your home where the photograph was taken.

We began crafting ways to apply defusion and self skills to coping with the fear and pain of acceptance. Learning to defuse from the voice of the Dictator helps us keep a healthy distance from the negative messages that pop uninvited into our minds, like “Who are you kidding, you can’t deal with this!” It also helps diminish the power of the unhelpful relations that have been embedded in our thought networks, which are often activated by the pain involved in acceptance. For example, the relation between smoking a cigarette and feeling better will be triggered by the discomfort of craving a smoke. Reconnecting with our authentic self helps us practice self-compassion as we open up to unpleasant aspects of our lives, not berating ourselves for making mistakes or for feeling fear about dealing with the pain. We see beyond the image of a broken, weak, or afflicted self to the powerful true self that can choose to feel pain.

However, hidden power often lies in the most inconspicuous places — in this case, in the lymphatic system. Those tiny particles can enter the lymphatic system, embedded in fat droplets, and once there, they attract the attention of ever-vigilant immune cells. When they discover a tiny particle of peanut in the lymphatic fluid, for example, they naturally attack it as a foreign body.

I thought about what would happen if I were to write a novel that does not look, for example, at a vase on its pedestal—finished, polished, tweaked, tightened, cleaned—but rather, took the vase, already broken, its jagged and fractured narratives embedded in dirt, and insisted that, in order to comprehend and engage in this work, one does not have to repair the broken history into fullness, but that the story, in shambles, is complete.

In general, the internal structures implanted inside the metamaterial must be smaller than the wavelength of the radiation. For example, microwaves can have a wavelength of about 3 centimeters, so for a metamaterial to bend the path of microwaves, it must have tiny implants embedded inside it that are smaller than 3 centimeters. But to make an object invisible to green light, with a wavelength of 500 nanometers (nm), the metamaterial must have structures embedded within it that are only about 50 nanometers long-and nanometers are atomic-length scales requiring nanotechnology. (One nanometer is a billionth of a meter in length. Approximately five atoms can fit within a single nanometer.) This is perhaps the key problem we face in our attempts to create a true invisibility cloak. The individual atoms inside a metamaterial would have to be modified to bend like a snake.

Nevertheless, the idea is deeply embedded in American Protestantism that the clergy go to seminary in order to become theologians. I recall, for example, giving a lecture at a seminary a while ago in which I made a remark which particularly agitated the Dean of the seminary, and he said to me, 'No responsible theologian would say what you just said!' That seemed to me reassuring news. A few days later I received a letter from someone who had been present at this exchange. The letter declared that the Dean had been mistaken and that in fact Soren Kierkegaard had written in his journals somewhere the substance of what I had said. I reported this comforting and distinguished citation to the Dean, who without hesitation announced: 'Oh, Kierkegaard is not a responsible theologian.' How could he be? He was no seminary professor. How could he know much about the mystery of God's presence in the world? Kierkegaard, after all, was only in the world - where God is - not in the seminary - where the theologians are!

For me, the most beautiful aspects of physics are not the complicated math equations or even the ability of predicting how things will happen. What attracts me to physics is what it teaches us about the bigger picture. The general philosophical lessons that are embedded in physical laws are what excite me. For example, the fact that all particles and forces get unified within string theory teaches us about the unity underlying our universe. The amazingly vast collection of solutions to equations of string theory suggests that there may be many universes besides ours. What happened before the big bang, or was there a time before big bang? The “duality symmetry” in string theory, which exchanges small spaces with large spaces, suggests that perhaps as we go back in time the universe was effectively getting bigger instead of smaller. This suggests we came from other universes. Physics teaches us deep facts about our universe and our place in it. I hope I can add a little to this beautiful story. That is my goal.

If you are a member of a WEIRD society, your eyes tend to fall on individual objects such as people, and you don’t automatically see the relationships among them. Having a concept such as social capital is helpful because it forces you to see the relationships within which those people are embedded, and which make those people more productive. I propose that we take this approach one step further. To understand the miracle of moral communities that grow beyond the bounds of kinship we must look not just at people, and not just at the relationships among people, but at the complete environment within which those relationships are embedded, and which makes those people more virtuous (however they themselves define that term). It takes a great deal of outside-the-mind stuff to support a moral community. For example, on a small island or in a small town, you typically don’t need to lock your bicycle, but in a big city in the same country, if you only lock the bike frame, your wheels may get stolen. Being small, isolated, or morally homogeneous are examples of environmental conditions that increase the moral capital of a community. That doesn’t mean that small islands and small towns are better places to live overall—the diversity and crowding of big cities makes them more creative and interesting places for many people—but that’s the trade-off. (Whether you’d trade away some moral capital to gain some diversity and creativity will depend in part on your brain’s settings on traits such as openness to experience and threat sensitivity, and this is part of the reason why cities are usually so much more liberal than the countryside.) Looking

Every object is embedded in the vacuum with which physics surrounds it. This means we don't observe the naked object-rather, we see it as the surrounding vacuum will dress it. Take, as an example, a positive electric charge, such as the proton's. Its presence modifies the surrounding vacuum. The effect appears because the fluctuating electrically charged particles and antiparticles in the vacuum move apart during their lifetime. The proton attracts negative charges and repels positive ones. On the average, the charge distribution will then look much as we illustrate in figure 76a. The field of what is now a polarized vacuum weakens the proton's electric field. Its true naked charge is larger than what it appears to be from some distance; the closer we get to the proton, the larger the charge we observe.

In his 1995 book Trust, he argues that the ability of a society to form large networks is largely a reflection of that society’s level of trust. Fukuyama makes a strong distinction between what he calls “familial” societies, like those of southern Europe and Latin America, and “high-trust” societies, like those of Germany, the United States, and Japan. Familial societies are societies where people don’t trust strangers but do trust deeply the individuals in their own families (the Italian Mafia being a cartoon example of a familial society). In familial societies family networks are the dominant form of social organization where economic activity is embedded, and are therefore societies where businesses are more likely to be ventures among relatives. By contrast, in high-trust societies people don’t have a strong preference for trusting their kin and are more likely to develop firms that are professionally run.

As much as the scientific community currently enthralled with mindfulness would like to set aside the ethical component of the Buddhist tradition to focus their studies on the technology of meditation, we can see from this Abhidhamma treatment of the subject that true mindfulness is deeply and inextricably embedded in the notion of wholesomeness. Although the brain science has yet to discover why, this tradition nonetheless declares, based entirely on its phenomenological investigations, that when the mind is engaged in an act of harming it is not capable of mindfulness. There can be heightened attention, concentration, and energy when a sniper takes a bead on his target, for example, but as long as the intention is situated in a context of taking life, it will always be under the sway of hatred, delusion, wrong view (ditthi, 19), or some other of the unwholesome factors. Just as a tree removed from the forest is no longer a tree but a piece of lumber, so also the caring attentiveness of mindfulness, extracted from its matrix of wholesome co-arising factors, degenerates into mere attention.

Neoliberal economics, the logic of which is tending today to win out throughout the world thanks to international bodies like the World Bank or the International Monetary Fund and the governments to whom they, directly or indirectly, dictate their principles of ‘governance’,10 owes a certain number of its allegedly universal characteristics to the fact that it is immersed or embedded in a particular society, that is to say, rooted in a system of beliefs and values, an ethos and a moral view of the world, in short, an economic common sense, linked, as such, to the social and cognitive structures of a particular social order. It is from this particular economy that neoclassical economic theory borrows its fundamental assumptions, which it formalizes and rationalizes, thereby establishing them as the foundations of a universal model. That model rests on two postulates (which their advocates regard as proven propositions): the economy is a separate domain governed by natural and universal laws with which governments must not interfere by inappropriate intervention; the market is the optimum means for organizing production and trade efficiently and equitably in democratic societies. It is the universalization of a particular case, that of the United States of America, characterized fundamentally by the weakness of the state which, though already reduced to a bare minimum, has been further weakened by the ultra-liberal conservative revolution, giving rise as a consequence to various typical characteristics: a policy oriented towards withdrawal or abstention by the state in economic matters; the shifting into the private sector (or the contracting out) of ‘public services’ and the conversion of public goods such as health, housing, safety, education and culture – books, films, television and radio – into commercial goods and the users of those services into clients; a renunciation (linked to the reduction in the capacity to intervene in the economy) of the power to equalize opportunities and reduce inequality (which is tending to increase excessively) in the name of the old liberal ‘self-help’ tradition (a legacy of the Calvinist belief that God helps those who help themselves) and of the conservative glorification of individual responsibility (which leads, for example, to ascribing responsibility for unemployment or economic failure primarily to individuals, not to the social order, and encourages the delegation of functions of social assistance to lower levels of authority, such as the region or city); the withering away of the Hegelian–Durkheimian view of the state as a collective authority with a responsibility to act as the collective will and consciousness, and a duty to make decisions in keeping with the general interest and contribute to promoting greater solidarity. Moreover,

intellectual imperialism. It has been, and still is, used to denigrate the orientation that many people still experience, that the world, and the other organisms with which we share this Earth, are alive, intelligent, and aware. It has been used to stifle the response of the heart to what has been presented to the senses. This has resulted in the creation of a conceptual monoculture that can’t see outside its limitations. Such imperialists have set out to conquer the superstitious natives inhabiting the dark continent, the place where the general populace lives. Midgley makes the point that arguments such as Day’s rest in a belief in human beings as “an isolated will, guided by an intelligence, arbitrarily connected to a rather unsatisfactory array of feelings, and lodged, by chance, in an equally unsatisfactory human body.”18 Or as Susan Sontag once described it: “consciousness harnessed to flesh,”19 as if there could be consciousness without the emergence of the self-organized system we call the body. This type of dissociation is a common side effect of the materialist and very reductionist view of the world most of us are trained in. But as Midgely notes, this system of thought is not reason, not science, but behavioral examples of, as she puts it, an unexamined, “exuberant power fantasy.” It is bad software, generated out of unexamined psychological frameworks. The evolutionary escalator metaphor and the assumptions of what constitutes intelligence (and value) that are embedded within it create, automatically, behavior that is very dangerous to every other life-form on this planet—in fact to the health of every ecosystem this planet possesses.

Of course L has not been reading the Odyssey the whole time. The pushchair is also loaded with White Fang, VIKING!, Tar-Kutu: Dog of the Frozen North, Marduk: Dog of the Mongolian Steppes, Pete: Black Dog of the Dakota, THE CARNIVORES, THE PREDATORS, THE BIG CATS and The House at Pooh Corner. For the past few days he has also been reading White Fang for the third time. Sometimes we get off the train and he runs up and down the platform. Sometimes he counts up to 100 or so in one or more languages while eyes glaze up and down the car. Still he has been reading the Odyssey enough for a straw poll of Circle Line opinion on the subject of small children & Greek. Amazing: 7 Far too young: 10 Only pretending to read it: 6 Excellent idea as etymology so helpful for spelling: 19 Excellent idea as inflected languages so helpful for computer programming: 8 Excellent idea as classics indispensable for understanding of English literature: 7 Excellent idea as Greek so helpful for reading New Testament, camel through eye of needle for example mistranslation of very similar word for rope: 3 Terrible idea as study of classical languages embedded in educational system productive of divisive society: 5 Terrible idea as overemphasis on study of dead languages directly responsible for neglect of sciences and industrial decline and uncompetitiveness of Britain: 10 Stupid idea as he should be playing football: 1 Stupid idea as he should be studying Hebrew & learning about his Jewish heritage: 1 Marvellous idea as spelling and grammar not taught in schools: 24 (Respondents: 35; Abstentions: 1,000?) Oh, & almost forgot: Marvellous idea as Homer so marvellous in Greek: 0 Marvellous idea as Greek such as marvellous language: 0 Oh & also: Marvellous idea but how did you teach it to a child that young: 8

Monsanto, at least, has found a way to make the victims of genetic contamination pay for the privilege, and for a very wealthy corporation, the costs of lawyers and legal wrangling are part of the cost of doing business. Individual farmers have to assume enormous costs by themselves. Plant scientist E. Ann Clark points out, “Monsanto is the only biotech company that sues for patent infringement [italics ours]. The others use other strategies, for example, embedding their patented traits in hybrid canola, which the farmer cannot save as seed anyway, to safeguard their patented genes.

Take a look at the following list of numbers: 4, 8, 5, 3, 9, 7, 6. Read them out loud. Now look away and spend twenty seconds memorizing that sequence before saying them out loud again. If you speak English, you have about a 50 percent chance of remembering that sequence perfectly. If you're Chinese, though, you're almost certain to get it right every time. Why is that? Because as human beings we store digits in a memory loop that runs for about two seconds. We most easily memorize whatever we can say or read within that two-second span. And Chinese speakers get that list of numbers—4, 8, 5, 3, 9, 7, 6—right almost every time because, unlike English, their language allows them to fit all those seven numbers into two seconds. That example comes from Stanislas Dehaene's book The Number Sense. As Dehaene explains: Chinese number words are remarkably brief. Most of them can be uttered in less than one-quarter of a second (for instance, 4 is "si" and 7 "qi"). Their English equivalents—"four," "seven"—are longer: pronouncing them takes about one-third of a second. The memory gap between English and Chinese apparently is entirely due to this difference in length. In languages as diverse as Welsh, Arabic, Chinese, English and Hebrew, there is a reproducible correlation between the time required to pronounce numbers in a given language and the memory span of its speakers. In this domain, the prize for efficacy goes to the Cantonese dialect of Chinese, whose brevity grants residents of Hong Kong a rocketing memory span of about 10 digits. It turns out that there is also a big difference in how number-naming systems in Western and Asian languages are constructed. In English, we say fourteen, sixteen, seventeen, eighteen, and nineteen, so one might expect that we would also say oneteen, twoteen, threeteen, and five- teen. But we don't. We use a different form: eleven, twelve, thirteen, and fifteen. Similarly, we have forty and sixty, which sound like the words they are related to (four and six). But we also say fifty and thirty and twenty, which sort of sound like five and three and two, but not really. And, for that matter, for numbers above twenty, we put the "decade" first and the unit number second (twentyone, twenty-two), whereas for the teens, we do it the other way around (fourteen, seventeen, eighteen). The number system in English is highly irregular. Not so in China, Japan, and Korea. They have a logical counting system. Eleven is ten-one. Twelve is ten-two. Twenty-four is two- tens-four and so on. That difference means that Asian children learn to count much faster than American children. Four-year-old Chinese children can count, on average, to forty. American children at that age can count only to fifteen, and most don't reach forty until they're five. By the age of five, in other words, American children are already a year behind their Asian counterparts in the most fundamental of math skills. The regularity of their number system also means that Asian children can perform basic functions, such as addition, far more easily. Ask an English-speaking seven-yearold to add thirty-seven plus twenty-two in her head, and she has to convert the words to numbers (37+22). Only then can she do the math: 2 plus 7 is 9 and 30 and 20 is 50, which makes 59. Ask an Asian child to add three-tensseven and two-tens-two, and then the necessary equation is right there, embedded in the sentence. No number translation is necessary: It's five-tens-nine. "The Asian system is transparent," says Karen Fuson, a Northwestern University psychologist who has closely studied Asian-Western differences. "I think that it makes the whole attitude toward math different. Instead of being a rote learning thing, there's a pattern I can figure out. There is an expectation that I can do this. There is an expectation that it's sensible. For fractions, we say three-fifths. The Chinese is literally 'out of five parts, take three.' That's telling you conceptually

transition into some examples that put HTML5 in action: A graphing calculator to display algebraic equations on the Canvas A children’s finger-painting application for drawing pictures on the page A geolocated work of fiction customized with details about the reader’s current location An audio-enabled glossary that lets you click to hear the pronunciation of each term Embedded video content within instructional text to supplement a lesson

The many aspects of self are based on structures and processes spread throughout the brain and nervous system, and embedded in the body’s interactions with the world. Researchers categorize those aspects of self, and their neural underpinnings, in a variety of ways. For example, the reflective self (“I am solving a problem”) likely arises mainly in neural connections among the anterior cingulate cortex, upper-outer prefrontal cortex (PFC), and hippocampus; the emotional self (“I am upset”) emerges from the amygdala, hypothalamus, striatum (part of the basal ganglia), and upper brain stem (Lewis and Todd 2007). Different parts of your brain recognize your face in group photos, know about your personality, experience personal responsibility, and look at situations from your perspective rather than someone else’s (Gillihan and Farah 2005).

There were other important reasons for the growth of American individualism at the expense of community in the second half of the twentieth century besides the nature of capitalism. The first arose as an unintended consequence of a number of liberal reforms of the 1960s and 1970s. Slum clearance uprooted and destroyed many of the social networks that existed in poor neighborhoods, replacing them with an anonymous and increasingly dangerous existence in high-rise public housing units. “Good government” drives eliminated the political machines that at one time governed most large American cities. The old, ethnically based machines were often highly corrupt, but they served as a source of local empowerment and community for their clients. In subsequent years, the most important political action would take place not in the local community but at higher and higher levels of state and federal government. A second factor had to do with the expansion of the welfare state from the New Deal on, which tended to make federal, state, and local governments responsible for many social welfare functions that had previously been under the purview of civil society. The original argument for the expansion of state responsibilities to include social security, welfare, unemployment insurance, training, and the like was that the organic communities of preindustrial society that had previously provided these services were no longer capable of doing so as a result of industrialization, urbanization, decline of extended families, and related phenomena. But it proved to be the case that the growth of the welfare state accelerated the decline of those very communal institutions that it was designed to supplement. Welfare dependency in the United States is only the most prominent example: Aid to Familles with Dependent Children, the depression-era legislation that was designed to help widows and single mothers over the transition as they reestablished their lives and families, became the mechanism that permitted entire inner-city populations to raise children without the benefit of fathers. The rise of the welfare state cannot be more than a partial explanation for the decline of community, however. Many European societies have much more extensive welfare states than the United States; while nuclear families have broken down there as well, there is a much lower level of extreme social pathology. A more serious threat to community has come, it would seem, from the vast expansion in the number and scope of rights to which Americans believe they are entitled, and the “rights culture” this produces. Rights-based individualism is deeply embedded in American political theory and constitutional law. One might argue, in fact, that the fundamental tendency of American institutions is to promote an ever-increasing degree of individualism. We have seen repeatedly that communities tend to be intolerant of outsiders in proportion to their internal cohesiveness, because the very strength of the principles that bind members together exclude those that do not share them. Many of the strong communal structures in the United States at midcentury discriminated in a variety of ways: country clubs that served as networking sites for business executives did not allow Jews, blacks, or women to join; church-run schools that taught strong moral values did not permit children of other denominations to enroll; charitable organizations provided services for only certain groups of people and tried to impose intrusive rules of behavior on their clients. The exclusiveness of these communities conflicted with the principle of equal rights, and the state increasingly took the side of those excluded against these communal organizations.

Romance primes her body for the bedroom. But for men, it may have the opposite effect. (Dylan & Sara/Stocksy) Turns out, there may be a scientific reason why movies based on Nicholas Sparks novels are called “chick flicks.” Watching romantic movies revs women’s sex drives — but it also dampens men’s desire to hit the sheets, according to a new study in the journal Archives of Sexual Behavior. In the world of sex research, there’s a theory about sexual desire called the “incentive motivation model.” That’s a technical way of saying arousal starts with a rewarding stimuli (for example, seeing your partner naked), which automatically leads to a boost in below-the-belt blood flow. Once you realize your body is responding, your mind joins the arousal process, which only heightens your physical response, compelling you to seek sex. As simple as that sounds, the first step — the sexual stimuli that kicks off the whole arousal process — can vary dramatically between men and women. Take porn, for example. “In a lot of research, when women watch porn movies, their body reacts — they’re genitally aroused — but they don’t feel anything,” lead study author Marieke Dewitte, an assistant professor of clinical psychological science at Maastricht University, told Yahoo Health. However, “we know that if you let women watch porn that is more female-oriented, embedded in a story, they respond with more sexual arousal.

For example, during auditory processing, sound inputs flow through the ear, then the brain stem reticular formation, then the medial septum (these two being called the lemniscal pathway), then the hippocampal region (which also includes the amygdala), then the thalamus, then the auditory cortex, then finally the cerebral cortex. These latter three being called the nonsensical, I mean the nonlemniscal, pathway The central clearing center, as it were, for all sensory inputs is the hippocampus. It is here that all pathways converge. It is this organ that is concerned with orienting us—in both physical space and the rich field of meanings through which we move every day of our lives It is the part of us that works most deeply with meanings, with the meanings that are embedded within every sensory input we receive

In February 1804, Jefferson went to work with a razor. He clipped his favorite passages out of his Bible and pasted them in double columns on forty-six octavo sheets. Jefferson included the teachings of Jesus but excluded the miracles. He deleted the virgin birth, the resurrection, and every supernatural event in between. In the words of historian Edwin Gaustad, “If a moral lesson was embedded in a miracle, the lesson survived in Jeffersonian scripture, but the miracle did not. Even when this took careful cutting with scissors.”3 The story of the man with the withered hand is a classic example. In Jefferson’s Bible, Jesus still offers commentary on the Sabbath, but the man’s hand is

In most body organs, defining a unit of operations is quite useful. For example, the kidney’s loop of Henle and the liver acinus are true modules. All modules work in parallel and perform pretty much the same function. In the cerebral cortex, however, modules do not simply operate in parallel but strongly interact. They do not work in isolation but are embedded in a larger structure. Integrative neocortical operations emerge through interactions between the modules rather than within single isolated modules.

Our paper is very fibrous, and it doesn’t take much for things to get embedded in those fibers. The best example would be cocaine. According to statistics, trace amounts of cocaine are believed to infect four out of every five bills in circulation. – Scot Harvath

On the other hand, existentialist ideas and attitudes have embedded themselves so deeply into modern culture that we hardly think of them as existentialist at all. People (at least in relatively prosperous countries where more urgent needs don’t intervene) talk about anxiety, dishonesty and the fear of commitment. They worry about being in bad faith, even if they don’t use that term. They feel overwhelmed by the excess of consumer choice while also feeling less in control than ever. A vague longing for a more ‘real’ way of living leads some people to — for example — sign up for weekend retreats in which their smartphones are taken away like toys from children, so that they can spend two days walking in the country landscape and reconnecting with each other and with their forgotten selves.

The problem is also not, as suggested by the technosphere concept, that human beings are incapable of controlling systems that have a larger range of behaviors than they do themselves. The problem rather lies in the question of what 'control' means in the first place. The stewardship of technological systems and infrastructures always depends on their specific nature (in particular, the way they are embedded in natural and cultural environment) as well as on their representation in knowledge and belief systems. Human cognition is always embodied cognition. There are historical examples showing that humans have been able to manage and sustain extremely complex ecologies and infrastructures of their own making over the long term. The systems' potential behaviors always far exceeded those of their human components, but these were typically ecologies and infrastructures in which the relevant regulative structures of human behavior had themselves been coevolving over long periods, including in their representation by knowledge and belief systems. As recent work on Japanese ecologies during the Tokugawa period (between 1603 and 1868) shows, age-old traditions had accumulated knowledge on how to sustainably manage a complex landscape providing humans with food, shelter, clothing, and energy. The knowledge was implemented through a complex system of governance and material practices ranging from sanitation to publishing.

example, some 4,200 students at Jay High School and Jones Middle School in San Antonio, Texas, are convenient guinea pigs for the Student Locator Project, which required students to carry "smart" ID cards embedded with an RFID tracking chip.574 Although these schools already boast 290 surveillance cameras,575 the Northside School District ID program gave school officials the ability to track students' whereabouts at all times. School officials plan to expand the program to the district's 112 schools, with a student population of 100,000.576 Students who refuse to take part in the ID program won't be able to access essential services like the cafeteria and library, nor will they be able to purchase tickets to extracurricular activities.

How could they reach such a conclusion? Their reasoning was simple and profound. They posited that virtually every object in creation is directed toward an end—a telos, in Greek. The value of an object lies in its capacity to achieve the purpose for which it was designed. Facts and values aren’t separate things—values are embedded within facts. For example, a watch is virtuous if it tells time properly; a horse is virtuous if it properly pulls a cart.

The personalities we have evolved to perceive have been around, in predictable form, and in typical, hierarchical configurations, forever, for all intents and purposes. They have been male or female, for example, for a billion years. That’s a long time. The division of life into its twin sexes occurred before the evolution of multi-cellular animals. It was in a still-respectable one-fifth of that time that mammals, who take extensive care of their young, emerged. Thus, the category of “parent” and/or “child” has been around for 200 million years. That’s longer than birds have existed. That’s longer than flowers have grown. It’s not a billion years, but it’s still a very long time. It’s plenty long enough for male and female and parent and child to serve as vital and fundamental parts of the environment to which we have adapted. This means that male and female and parent and child are categories, for us—natural categories, deeply embedded in our perceptual, emotional and motivational structures.

How we behave in crisis, what gets rewarded or recognized, what gets ignored, what gets measured and controlled, and what gets people fired, are examples of how culture gets embedded in an organization and the feedback loops that exist in our organizations (Schein, 1985).

Nature Favors Risk Takers Starting something new means taking a risk. But in our society, the word "risk" has assumed mostly negative connotations. When someone tells us "that's risky," most of us have a visceral, fearful reaction. But Mother Nature seems to have built a loophole into our sense of well-being, because embedded somewhere within the human genetic makeup is an inclination to take risks. Of course, in order for evolution and natural selection to favor risk-taking as a behavior there has to be a benefit, and that benefit has to outweigh the outcome of doing nothing. Many examples from the animal kingdom support this hypothesis. According to research by Dr. Lee Alan Dugatkin, who was trying to understand a continuum of risk-taking, fish willing to take risks were likely to mate better.11 Guppies, for example, engage in what is known as predator inspection behavior. Predator inspection is akin to guard duty. A few fish break away from the group and slowly approach the predator to obtain information. In taking risks in the presence of a predator, a guppy is more likely to get eaten, but a male guppy that takes this risk is more attractive as a mate to females.12 The bolder guppies are also better at learning.

The hitchhiking ghosts at the end now get to interact with guests in a more technologically advanced way, especially if you are wearing a MagicBand. For example, if the information embedded in your MagicBand states that you live in Maine, the ghosts will hold up a sign next to your vehicle that reads, “Maine, here we come!

The provision of news and information, for example, has been ‘dumbed down’ to a previously unimaginable degree, and the line between Hollywood fiction and journalistic fact is increasingly blurry. Between the latest action blockbuster and a Fox News ‘embedded’ exclusive – or, at an ‘advanced’ level, between some sentimental Oscar-bait and a John Simpson BBC news report – locating the line is no easy task.20 In search of the facts, sceptical and curious citizens turn to the web for scraps of truth, and struggle to separate the journalistic wheat from the chaff. But their eagerness to educate themselves and their hostility to the mainstream, corporate- and state-owned media assures us that the rational pursuit of objective reality hasn’t been forsaken in a world of hyper-propaganda and philosophical relativism.

As I’ve said throughout this book, networked products tend to start from humble beginnings—rather than big splashy launches—and YouTube was no different. Jawed’s first video is a good example. Steve described the earliest days of content and how it grew: In the earliest days, there was very little content to organize. Getting to the first 1,000 videos was the hardest part of YouTube’s life, and we were just focused on that. Organizing the videos was an afterthought—we just had a list of recent videos that had been uploaded, and you could just browse through those. We had the idea that everyone who uploaded a video would share it with, say, 10 people, and then 5 of them would actually view it, and then at least one would upload another video. After we built some key features—video embedding and real-time transcoding—it started to work.75 In other words, the early days was just about solving the Cold Start Problem, not designing the fancy recommendations algorithms that YouTube is now known for. And even once there were more videos, the attempt at discoverability focused on relatively basic curation—just showing popular videos in different categories and countries. Steve described this to me: Once we got a lot more videos, we had to redesign YouTube to make it easier to discover the best videos. At first, we had a page on YouTube to see just the top 100 videos overall, sorted by day, week, or month. Eventually it was broken out by country. The homepage was the only place where YouTube as a company would have control of things, since we would choose the 10 videos. These were often documentaries, or semi-professionally produced content so that people—particularly advertisers—who came to the YouTube front page would think we had great content. Eventually it made sense to create a categorization system for videos, but in the early years everything was grouped in with each other. Even while the numbers of videos was rapidly growing, so too were all the other forms of content on the site. YouTube wasn’t just the videos, it was also the comments left by viewers: Early in we saw that there were 100x more viewers than creators. Every social product at that time had comments, so we added them to YouTube, which was a way for the viewers to participate, too. It seems naive now, but we were just thinking about raw growth at that time—the raw number of videos, the raw number of comments—so we didn’t think much about the quality. We weren’t thinking about fake news or anything like that. The thought was, just get as many comments as possible out there, and the more controversial the better! Keep in mind that the vast majority of videos had zero comments, so getting feedback for our creators usually made the experience better for them. Of course now we know that once you get to a certain level of engagement, you need a different solution over time.

For Microsoft’s productivity applications, the break came when the world transitioned from text-based DOS applications to graphical user interfaces, in the mid-1980s. But as the industry shifted from text to graphical interfaces, it created an opening, as every application needed to be rewritten to support the new paradigm of dropdown menus, icons, toolbars, and the mouse. While Microsoft redesigned and rethought their applications, their competitors were too stuck in the old world, and so Word and Excel leapfrogged their competitors. Then in an ensuing stroke of product marketing genius, it was combined into the Microsoft Office suite, which promptly became a colossus. Much effort was put toward making each application within the suite work with each other. For example, an Excel chart would be embedded within a Microsoft Word document—this was called Object Linking and Embedding (OLE)—which made the combination of the products more powerful. In other words, the product really matters, and bundling can provide a huge distribution advantage, but it can only go so far. It’s an echo of what we now see in the internet age, where Twitter might drive users to its now-defunct livestreaming platform Periscope, or Google might push everyone to use Google Meet. It can work, but only when the product is great. This is part of why the concept of bundling as been around forever—the McDonald’s Happy Meal was launched in the 1970s, and cable companies have been bundling TV channels since their start. But at the heart of these bundling stories are important, iconic products that reinvent the market.

Another problem with building knowledge bases is that they can work only in highly interpretable settings. This property is embedded into the inherent nature of knowledge bases, as humans construct them with their semantic insights. While an interpretable knowledge base might seem to be a virtue at first glance, it is also a problem because many intelligent decisions made by humans cannot be easily enunciated in words. For example, a chess grandmaster or an expert player of the game of Go might sometimes be unable to concretely explain why they choose a particular move, beyond the fact that their experience from previous games translates into an intuitive but hard-to-enunciate understanding of favorable spatial patterns. Trying to handcraft this type of intuitive knowledge into a semantically interpretable board evaluation function is often a source of inaccuracy, as it misses the intangibles in the decision-making process.

For example: scientists at Germany’s Max Planck Institute and elsewhere are experimenting with automatic “rapport detection” within groups. Sensors embedded in a conference room or in video-conferencing equipment unobtrusively monitor group members’ nonverbal behavior (their facial expressions, hand motions, gaze direction, and so on); these data are analyzed in real time to yield a measure of how well a group is cooperating. When rapport falls below a critical level, nudges can be applied to move the group toward greater cohesion: the system might alert the group’s leader that a shared coffee break is in order, or it might suggest to him, via a pop-up message, that he engage in more mirroring of his co-workers. Inside wired-up “smart meeting rooms,” it may even elect to raise the temperature by a few degrees, or introduce some soothing white noise.

This wavelength is also the exact average distance between our eyes, from the center of one pupil to the other — that is, if you take a hundred people and average them. It’s also the exact average distance from the tip of our chins to the tip of our noses or the distance across our palms and the distance between our chakras, to give a few more examples. This 7.23-centimeter length is located throughout our bodies in various ways because we are emerged within this particular universe, and it is embedded within us. It

idea. A forward curve is like a time machine: it tells you what the market is “predicting” the current yield curve will look like at some point forward in time. Embedded in the current yield curve are forward curves for various forward times. For example, the “one-year forward curve” tells you what the current yield curve is predicting the same curve will look like in one year. The “two-year forward curve” tells you what the current yield curve is predicting the same curve will look like in two years.

Because these processes and practices are embedded in every meeting, document, decision, interview, and performance discussion, following them becomes second nature over time. And any employee who violates them draws attention to themselves like a person loudly scratching their fingernails across a chalkboard. If, for example, a person spoke up at a meeting and suggested an idea that was obviously geared toward short-term considerations and ignored significant longer-term ones, or proposed something that was competitor- rather than customer-centric, there would be an uncomfortable pause before someone pointed out what was on everyone else’s mind. While this practice may not be unique to Amazon, it is a defining element of its success.

a child experiences abuse, their brain may make an association between the features of the abuser or the circumstances of the abuse—hair color, tone of voice, the music playing in the background—and a sense of fear. The complex and confusing associations can influence behaviors for years; later in life, for example, being served in a restaurant by a brown-haired man who hovers over you while he takes your order may elicit a panic attack. But because there is no firmly embedded cognitive recollection—no linear narrative memory—the panic is often experienced and interpreted as random, independent of any previous experience.

The political system in which the traditional model is embedded is a dictatorship, that is, a system in which the ruling group impose their will on society, and deal with opposition (real and imaginary) by repression (i.e. arrest, deportation, imprisonment, execution). This dictatorship was originally known as the ‘dictatorship of the proletariat’. This formula expressed the idea that it was a dictatorship of the proletariat, by the proletariat, for the proletariat. Although the formula ‘dictatorship of the proletariat’ was abandoned in the USSR under Khrushchev, along with the Stalinist terror which it had been used to legitimate, it was retained elsewhere. For example, in China it is still orthodox. A ‘people’s democratic dictatorship’ is the officially favoured description of the political system in China, but in essence this is the same as the ‘dictatorship of the proletariat’.

All too often, there is an implicit assumption that the cause of some disparity is located where the statistics on that disparity were collected. Thus, for example, the under-representation of women in Silicon Valley is assumed to be caused by something that happens in Silicon Valley, and the higher prices charged by stores in many low-income neighborhoods are assumed to be caused by those who run those stores. This implicit assumption has been embedded in the law of the land by the Supreme Court of the United States, which has treated disparities in the employment, pay and promotions of people from different groups as evidence of discriminatory bias by employers under its “disparate impact” standard.

Statement on Generative AI Just like Artificial Intelligence as a whole, on the matter of Generative AI, the world is divided into two camps - one side is the ardent advocate, the other is the outspoken opposition. As for me, I am neither. I don't have a problem with AI generated content, I have a problem when it's rooted in fraud and deception. In fact, AI generated content could open up new horizons of human creativity - but only if practiced with conscience. For example, we could set up a whole new genre of AI generated material in every field of human endeavor. We could have AI generated movies, alongside human movies - we could have AI generated music, alongside human music - we could have AI generated poetry and literature, alongside human poetry and literature - and so on. The possibilities are endless - and all above board. This way we make AI a positive part of human existence, rather than facilitating the obliteration of everything human about human life. This of course brings up a rather existential question - how do we distinguish between AI generated content and human created material? Well, you can't - any more than you can tell the photoshop alterations on billboard models or good CGI effects in sci-fi movies. Therefore, that responsibility must be carried by experts, just like medical problems are handled by healthcare practitioners. Here I have two particular expertise in mind - one precautionary, the other counteractive. Let's talk about the counteractive measure first - this duty falls upon the shoulders of journalists. Every viral content must be source-checked by responsible journalists, and declared publicly as fake, i.e. AI generated, unless recognized otherwise. Littlest of fake content can do great damage to society - therefore - journalists, stand guard! Now comes the precautionary part. Precaution against AI generated content must be borne by the makers of AI, i.e. the developers. No AI model must produce any material without some form of digital signature embedded in them, that effectively makes the distinction between AI generated content and human material mainstream. If developers fail to stand accountable out of their own free will, they must be held accountable legally. On this point, to the nations of the world I say, you can't expect backward governments like our United States to take the first step - where guns get priority over children - therefore, my brave and civilized nations of the world - you gotta set the precedent on holding tech giants accountable - without depending on morally bankrupt democratic imperialists. And remember, the idea is not to ban innovation, but to adapt it with human welfare. All said and done, the final responsibility falls upon just one person, and one person alone - the everyday ordinary consumer. Your mind has no reason to not believe the things you find on the internet, unless you make it a habit to actively question everything - or at least, not accept anything at face value. Remember this. Just because it's viral, doesn't make it true. Just because it's popular, doesn't make it right.

You don’t have to look far to see evidence that we like to think in threes. According to J.D., “the simplest reason [three accomplishments work so well] is because our brains are trained from early on to think in threes: the beginning, the middle, the end.” For example, “the military uses threes to help people remember survival information: You can go three minutes without air, three days without water, three weeks without food.” When you look around, there are also countless examples of sets of threes embedded everywhere: the three bears, three blind mice, three little pigs, and three musketeers; phrases like “blood, sweat, and tears” and “the good, the bad, and the ugly”; and ideas like gold, silver, and bronze medals, and “life, liberty, and the pursuit of happiness.” Our mind is wired to think in groups of three.

1.1M    ./scripts 58M     ./cloud9 74M     . You can also use tee to write the output to several files at the same time, as shown in this example: root@beaglebone:/opt# du ‐d1 ‐h | tee /tmp/1.txt /tmp/2.txt /tmp/3.txt Filter Commands (from sort to xargs) There are filtering commands, each of which provides a useful function: sort: This command has several options, including (‐r) sorts in reverse; (‐f) ignores case; (‐d) uses dictionary sorting, ignoring punctuation; (‐n) numeric sort; (‐b) ignores blank space; (‐i) ignores control characters; (‐u) displays duplicate lines only once; and (‐m) merges multiple inputs into a single output. wc (word count): This can be used to calculate the number of words, lines, or characters in a stream. For example: root@beaglebone:/tmp# wc < animals.txt  4  4 18 This has returned that there are 4 lines, 4 words, and 18 characters. You can select the values independently by using (‐l) for line count; (‐w) for word count; (‐m) for character count; and (‐c) for the byte count (which would also be 18 in this case). head: Displays the first lines of the input. This is useful if you have a very long file or stream of information and you want to examine only the first few lines. By default it will display the first 10 lines. You can specify the number of lines using the ‐n option. For example, to get the first five lines of output of the dmesg command (display message or driver message), which displays the message buffer of the kernel, you can use the following: root@beaglebone:/tmp# dmesg | head ‐n5   [    0.000000] Booting Linux on physical CPU 0x0   [    0.000000] Initializing cgroup subsys cpuset   [    0.000000] Initializing cgroup subsys cpu   [    0.000000] Initializing cgroup subsys cpuacct   [    0.000000] Linux version 3.13.4-bone5(root@imx6q-sabrelite-1gb-0) tail: This is just like head except that it displays the last lines of a file or stream. Using it in combination with dmesg provides useful output, as shown here: root@beaglebone:/tmp# dmesg | tail ‐n2   [   36.123251] libphy: 4a101000.mdio:00 - Link is Up - 100/Full   [   36.123421] IPv6:ADDRCONF(NETDEV_CHANGE): eth0:link becomes ready grep: A very powerful filter command that can parse lines using text and regular expressions. You can use this command to filter output with options, including (‐i) ignore case; (‐m 5) stop after five matches; (‐q) silent, will exit with return status 0 if any matches are found; (‐e) specify a pattern; (‐c) print a count of matches; (‐o) print only the matching text; and (‐l) list the filename of the file containing the match. For example, the following examines the dmesg output for the first three occurrences of the string “usb,” using ‐i to ignore case: root@beaglebone:/tmp# dmesg |grep ‐i ‐m3 usb   [    1.948582] usbcore: registered new interface driver usbfs   [    1.948637] usbcore: registered new interface driver hub   [    1.948795] usbcore: registered new device driver usb You can combine pipes together. For example, you get the exact same output by using head and displaying only the first three lines of the grep output: root@beaglebone:/tmp# dmesg |grep ‐i usb |head ‐n3   [    1.948582] usbcore: registered new interface driver usbfs   [    1.948637] usbcore: registered new interface driver hub   [    1.948795] usbcore: registered new device driver usb xargs: This is a very powerful filter command that enables you to construct an argument list that you use to call another command or tool. In the following example, a text file args.txt that contains three strings is used to create three new files. The output of cat is piped to xargs, where it passes the three strings as arguments to the touch command, creating three new files a.txt, b.txt,

[    1.948637] usbcore: registered new interface driver hub   [    1.948795] usbcore: registered new device driver usb You can combine pipes together. For example, you get the exact same output by using head and displaying only the first three lines of the grep output: root@beaglebone:/tmp# dmesg |grep ‐i usb |head ‐n3   [    1.948582] usbcore: registered new interface driver usbfs   [    1.948637] usbcore: registered new interface driver hub   [    1.948795] usbcore: registered new device driver usb xargs: This is a very powerful filter command that enables you to construct an argument list that you use to call another command or tool. In the following example, a text file args.txt that contains three strings is used to create three new files. The output of cat is piped to xargs, where it passes the three strings as arguments to the touch command, creating three new files a.txt,

In his acclaimed work Built to Last, Jim Collins describes the culture of “visionary companies.” Two of the four traits he observed in the culture of great companies are related to their actual beliefs. A strong culture has, according to Collins, a fervently held ideology and indoctrination of that ideology.3 Surely a company should not have a more fervently held ideology than a local body of believers. Surely a company should not be more passionate about indoctrination than a local church. While not everything that is articulated is really believed, what is really believed is always articulated. If something is really valued, it is declared. Language and words help create the culture one lives in. When the Babylonians, for example, took Daniel and his contemporaries into captivity, they schooled the people of God in their language and literature (Dan. 1:4). The Babylonian leaders knew the power of words, both spoken and read, in attempting to form culture. The articulated beliefs and even how they are articulated help form the culture. How a church speaks of those outside the church, of the Scripture, and of the mission influences the culture greatly. The artifacts of church culture are the visible, tangible expressions of a church’s actual and articulated beliefs. Artifacts include common behaviors, informal rules for interaction, and other customs. Artifacts also include the formal behavioral management systems like policies, organizational structures, meeting formats, and required procedures. Church cultures even express their beliefs through artifacts that are nonhuman. Our buildings, technology, art, music, and other resources and tools constitute expression of our culture. Our programs and church calendars are expressions of who we are and are embedded in our cultures. Artifacts reveal a church’s worldview and simultaneously shape the church to continue believing it.

Pym argues that highly specialized technical texts are typically embedded in an international community of scientists, engineers, physicians, lawyers, and the like, who attend international conferences and read books in other languages an so have usually eliminated from their discourse the kind of contextual vagueness that is hardest to translate. As Pym's "tomography" example shows, too, international precision tends to be maintained in specialist groups through the use of Greek, Latin, French, and English terms that change only slightly as they move from one phonetic system to another. "General" texts, on the other hand, are grounded in less closely regulated everyday usage, the way people talk in a wide variety of ordinary contexts, which requires far more social knowledge than specialized texts - far more knowledge of how people talk to each other in their different social groupings, at home, at work, at the store, etc. Even slang and jargon, Pym would say, are easier to translate than this "general" discourse - all you have to do to translate slang or jargon is find an expert in it and ask your questions. (What makes that type of translation difficult is that experts are sometimes hard to find.) With a "general" text, everybody's an expert - but all the experts disagree, because they've used the words or phrases in different situations, different contexts, and can never quite sort out in their own minds just what it means with this or that group.

composites. We’ll explore this pattern in more detail in Chapter 31, which is really more about design than about Python. As a quick example, though, we could use this composition idea to code our Manager extension by embedding a Person, instead of inheriting from it.

And yet, such digging becomes easier if we start from the assumption that in every tool we create, an idea is embedded that goes beyond the function of the thing itself. It has been pointed out, for example, that the invention of eyeglasses in the twelfth century not only made it possible to improve defective vision but suggested the idea that human beings need not accept as final either the endowments of nature or the ravages of time. Eyeglasses refuted the belief that anatomy is destiny by putting forward the idea that our bodies as well as our minds are improvable. I do not think it goes too far to say that there is a link between the invention of eyeglasses in the twelfth century and gene-splitting research in the twentieth. Even such an instrument as the microscope, hardly a tool of everyday use, had embedded within it a quite astonishing idea, not about biology but about psychology. By revealing a world hitherto hidden from view, themicroscope suggested a possibility about the structure of the mind. If things are not what they seem, if microbes lurk, unseen, on and under our skin, if the invisible controls the visible, then is it not possible that ids and egos and superegos also lurk somewhere unseen? What else is psychoanalysis but a microscope of the mind?