Data Quality Quotes

A change in Quantity also entails a change in Quality

Every business can benefit from good quality management consulting services. Consultants are able to gather, assemble and utilize data in unique ways. Consultants also have perspectives that are likely to be unique compared to the perspectives you find internal to your business.

The five-star scale doesn’t really exist for humans; it exists for data aggregation systems, which is why it did not become standard until the internet era. Making conclusions about a book’s quality from a 175-word review is hard work for artificial intelligences, whereas star ratings are ideal for them.

Many people object to “wasting money in space” yet have no idea how much is actually spent on space exploration. The CSA’s budget, for instance, is less than the amount Canadians spend on Halloween candy every year, and most of it goes toward things like developing telecommunications satellites and radar systems to provide data for weather and air quality forecasts, environmental monitoring and climate change studies. Similarly, NASA’s budget is not spent in space but right here on Earth, where it’s invested in American businesses and universities, and where it also pays dividends, creating new jobs, new technologies and even whole new industries.

The Qur'an follows on from the two Revelations that preceded it and is not only free from contradictions in its narrations, the sign of the various human manipulations to be found in the Gospels, but provides a quality all of its own for those who examine it objectively and in the light of science i.e. its complete agreement with modern scientific data.

Focus groups for business projects are kind of the same. In this, you are going to collect data from a group of your customers or potential customers rather than your friends.

Perception requires imagination because the data people encounter in their lives are never complete and always equivocal. For example, most people consider that the greatest evidence of an event one can obtain is to see it with their own eyes, and in a court of law little is held in more esteem than eyewitness testimony. Yet if you asked to display for a court a video of the same quality as the unprocessed data catptured on the retina of a human eye, the judge might wonder what you were tryig to put over. For one thing, the view will have a blind spot where the optic nerve attaches to the retina. Moreover, the only part of our field of vision with good resolution is a narrow area of about 1 degree of visual angle around the retina’s center, an area the width of our thumb as it looks when held at arm’s length. Outside that region, resolution drops off sharply. To compensate, we constantly move our eyes to bring the sharper region to bear on different portions of the scene we wish to observe. And so the pattern of raw data sent to the brain is a shaky, badly pixilated picture with a hole in it. Fortunately the brain processes the data, combining input from both eyes, filling in gaps on the assumption that the visual properties of neighboring locations are similar and interpolating. The result - at least until age, injury, disease, or an excess of mai tais takes its toll - is a happy human being suffering from the compelling illusion that his or her vision is sharp and clear. We also use our imagination and take shortcuts to fill gaps in patterns of nonvisual data. As with visual input, we draw conclusions and make judgments based on uncertain and incomplete information, and we conclude, when we are done analyzing the patterns, that out “picture” is clear and accurate. But is it?

Although the method is simple, it shows how, mathematically, random brute force can overcome precise logic. It's a numerical approach that uses quantity to derive quality.

This suggests that our boding mechanisms depend on our own perception of the other and that therefore our ability to bond with them depends much more on emotional settings than on abstract "humanlike" qualities. For the same reason, it is the very emotionality Commmander Data from Star Trek displays every time it complains about having no emotions that endears it; an emotionless machine would not constantly raise the issues of its own worth, value, and personhood.

So the 185 billion events to be enjoyed over our mortal days might be either an overestimate or an underestimate. If we consider the amount of data the brain could theoretically process, the number might be too low; but if we look at how people actually use their minds, it is definitely much too high. In any case, an individual can experience only so much. Therefore, the information we allow into consciousness becomes extremely important; it is, in fact, what determines the content and the quality of life.

Quality without science and research is absurd. You can't make inferences that something works when you have 60 percent missing data.

the track of Quality preselects what data we’re going to be conscious of, and it makes this selection in such a way as to best harmonize what we are with what we are becoming.

Data is the blood of any organization; coming from everywhere, used everywhere, connecting all the body, transferring messages and when analyzed it reflects the whole picture of the body.

A dispassionate conceptual development of the typology of violence must by definition ignore its traumatic impact. Yet there is a sense in which a cold analysis of violence somehow reproduces and participates in its horror. A distinction needs to be made, as well, between (factual) truth and truthfulness: what renders a report of a raped woman (or any other narrative of a trauma) truthful is its very factual unreliability, its confusion, its inconsistency. If the victim were able to report on her painful and humiliating experience in a clear manner, with all the data arranged in a consistent order, this very quality would make us suspicious of its truth.

Leyner's fiction is, in this regard, an eloquent reply to Gilder's prediction that our TV-culture problems can be resolved by the dismantling of images into discrete chunks we can recombine as we fancy. Leyner's world is a Gilder-esque dystopia. The passivity and schizoid decay still endure for Leyner in his characters' reception of images and waves of data. The ability to combine them only adds a layer of disorientation: when all experience can be deconstructed and reconfigured, there become simply too many choices. And in the absence of any credible, noncommercial guides for living, the freedom to choose is about as "liberating" as a bad acid trip: each quantum is as good as the next, and the only standard of an assembly's quality is its weirdness, incongruity, its ability to stand out from a crowd of other image-constructs and wow some Audience.

As we’ve gone along, I’ve pointed out that a warm childhood relationship with his mother—not maternal education—was significantly related to a man’s verbal test scores, to high salary, to class rank at Harvard, and to military rank at the end of World War II. At the men’s twenty-fifth reunion, it looked, to my surprise, as though the quality of a man’s relationship with his mother had little effect on overall midlife adjustment. However, forty-five years later, to my surprise again, the data suggested that there was a significant positive correlation between the quality of one’s maternal relationship and the absence of cognitive decline. At age ninety, 33 percent of the men with poor maternal relationships, and only 13 percent of men with warm relationships, suffered from dementia.

As CEO, you should have an opinion on absolutely everything. You should have an opinion on every forecast, every product plan, every presentation, and even every comment. Let people know what you think. If you like someone’s comment, give her the feedback. If you disagree, give her the feedback. Say what you think. Express yourself. This will have two critically important positive effects:   Feedback won’t be personal in your company. If the CEO constantly gives feedback, then everyone she interacts with will just get used to it. Nobody will think, “Gee, what did she really mean by that comment? Does she not like me?” Everybody will naturally focus on the issues, not an implicit random performance evaluation.   People will become comfortable discussing bad news. If people get comfortable talking about what each other are doing wrong, then it will be very easy to talk about what the company is doing wrong. High-quality company cultures get their cue from data networking routing protocols: Bad news travels fast and good news travels slowly. Low-quality company cultures take on the personality of the Wicked Witch of the West in The Wiz: “Don’t nobody bring me no bad news.

Make a habit of discussing a problem on the basis of the data and respecting the facts shown by them.” - Dr Kaoru Ishikawa

Completeness of crucial information is extremely important, as missing data is not only a cost issue but is also a massive lost opportunity issue...

He said sometimes when you're young you have to think about things, because you're forming your value-sets and you keep coming up with Data Insufficient and finding holes in your programs. So you keep trying to do a fix on your sets. And the more powerful your mind is and the more intense your concentration is, the worse damage you can do to yourself, which is why, Justin says, Alphas always have trouble and some of them go way off and out-there, and why almost all Alphas are eccentric. But he says the best thing you can do if you're too bright for your own good is what the Testers do, be aware where you got which idea, keep a tab on everything, know how your ideas link up with each other and with your deep-sets and value-sets, so when you're forty or fifty or a hundred forty and you find something that doesn't work, you can still find all the threads and pull them. But that's not real easy unless you know what your value-sets are, and most CITs don't. CITs have a trouble with not wanting to know that kind of thing. Because some of them are real eetee once you get to thinking about how they link. Especially about sex and ego-nets. Justin says inflexibility is a trap and most Alpha types are inward-turned because they process so fast they're gone and thinking before a Gamma gets a sentence out. Then they get in the habit of thinking they thought of everything, but they don't remember everything stems from input. You may have a new idea, but it stems from input somebody gave you, and that could be wrong or your senses could have been lying to you. He says it can be an equipment-quality problem or a program-quality problem, but once an Alpha takes a falsehood for true, it's a personal problem.

The algorithms of superintelligence will change the world in a positive way but trouncing human being will not be possible due to emotions, empathy, social interactions, reproduction, and mortality which are the qualities that belong to humans only.

the consequences of scientific illiteracy are far more dangerous in our time than in any that has come before. It’s perilous and foolhardy for the average citizen to remain ignorant about global warming, say, or ozone depletion, air pollution, toxic and radioactive wastes, acid rain, topsoil erosion, tropical deforestation, exponential population growth. Jobs and wages depend on science and technology. If our nation can’t manufacture, at high quality and low price, products people want to buy, then industries will continue to drift away and transfer a little more prosperity to other parts of the world. Consider the social ramifications of fission and fusion power, supercomputers, data “highways,” abortion, radon, massive reductions in strategic weapons, addiction, government eavesdropping on the lives of its citizens, high-resolution TV, airline and airport safety, fetal tissue transplants, health costs, food additives, drugs to ameliorate mania or depression or schizophrenia, animal rights, superconductivity, morning-after pills, alleged hereditary antisocial predispositions, space stations, going to Mars, finding cures for AIDS and cancer. How can we affect national policy—or even make intelligent decisions in our own lives—if we don’t grasp the underlying issues?

Every successful brand stands for something more than itself, and that thing is emotional. A great brand promises hope, the contagion of coolness, or desirability, or love, or romance, or acceptance, or luxury, or youth, or sophistication, or high-quality technology.

It is not that I am a genius or exceptionally gifted, not by any means. Quite the contrary. What Happened (I shall try to explain it) is that every mind is shaped by its own experiences and memories and knowledge, and what makes it unique is the grand total and extremely personal nature of the collection of all the data that have made it what it is. Each person possesses a mind with powers that are, whether great or small, always unique, powers that belong to them alone. This renders them capable of carrying out a feat, whether grandiose or banal, that only they could have carried out. In this case, all others had failed because they had counted on the simple quantitative progression of intelligence and ingenuity, when what was required was an unspecified quantity, but of the appropriate quality, of both. My own intelligence is quite minimal, a fact that I have ascertained at great cost to myself. It has been just barely adequate to keep me afloat in the tempestuous waters of life. Yet, its quality is unique; not because I decided it would be, but rather because that is how it must be.

Specifically, Kahan identified “scientific curiosity.” That’s different from scientific literacy. The two qualities are correlated, of course, but there are curious people who know rather little about science (yet), and highly trained people with little appetite to learn more.

Thanks in part to the resulting high score on the evaluation, he gets a longer sentence, locking him away for more years in a prison where he’s surrounded by fellow criminals—which raises the likelihood that he’ll return to prison. He is finally released into the same poor neighborhood, this time with a criminal record, which makes it that much harder to find a job. If he commits another crime, the recidivism model can claim another success. But in fact the model itself contributes to a toxic cycle and helps to sustain it. That’s a signature quality of a WMD.

In this chapter I will describe the effects of the data deluge on all members of society generally and how it erodes the confidence, judgment, and decisiveness of leaders in particular. Then I will show the paradoxical side of the data deluge. Despite its anxiety-provoking effects, the proliferation of data also has an addictive quality. Leaders, healers, and parents “imbibe” data as a way of dealing with their own chronic anxiety. The pursuit of data, in almost any field, has come to resemble a form of substance abuse, accompanied by all the usual problems of addiction: self-doubt, denial, temptation, relapse, and withdrawal. Leadership training programs thus wind up in the codependent position of enablers, with publishers often in the role of “suppliers.” What does it take to get parents, healers, and managers, when they hear of the latest quick-fix fad that has just been published, to “just say no”?

Indian children are more likely to be malnourished than children from Zimbabwe, Somalia and the Democratic Republic of Congo, Africa’s three poorest countries,1 and in Delhi, nearly 5 million school-aged children have irreversible lung damage from that city’s air quality, which is twice as bad as Beijing’s.2

Empirically, things are poignant, tragic, beautiful, humorous, settled, disturbed, comfortable, annoying, barren, harsh, consoling, splendid, fearful; are such immediately and in their own right and behalf.... These traits stand in themselves on precisely the same level as colours, sounds, qualities of contact, taste and smell. Any criterion that finds the latter to be ultimate and "hard" data will, impartially applied, come to the same conclusion about the former. -Any- quality as such is final; it is at once initial and terminal; just what it is as it exists. it may be referred to other things, it may be treated as an effect or a sign. But this involves an extraneous extension and use. It takes us beyond quality in its immediate qualitativeness.... The surrender of immediate qualities, sensory and significant, as objects of science, and as proper forms of classification and understanding, left in reality these immediate qualities just as they were; since they are -had- there is no need to -know- them. But... the traditional view that the object of knowledge is reality par excellence led to the conclusion that the object of science was preeminently metaphysically real. Hence, immediate qualities, being extended from the object of science, were left thereby hanging loose from the "real" object. Since their -existence- could not be denied, they were gathered together into a psychic realm of being, set over against the object of physics. Given this premise, all the problems regarding the relation of mind and matter, the psychic and the bodily, necessarily follow. Change the metaphysical premise; restore, that is to say, immediate qualities to their rightful position as qualities of inclusive situations, and the problems in question cease to be epistemological problems. They become specifiable scientific problems; questions, that is to say, of how such and such an event having such and such qualities actually occurs.

I like to ensure that I have music and art all around me. My personal favorite is old maps. What I love about old maps is that they are both beautiful and imperfect. These imperfections represent that some of the most talented in history were still very wrong (early cartography was very difficult). As the majority of my work is analysis and advisory, I find it a valuable reminder that my knowledge is limited. No matter how much data or insight I have, I can never fully “map out” any business. Yet, despite the incompleteness of these early cartographers, so much was learned of the world. So much done and accomplished. Therefore, these maps, or art pieces, serve as something to inspire both humility and achievement. This simple environmental factor helps my productivity and the overall quality of my work. Again, it’s like adding positive dice to my hand that are rolled each day.

Drift. Down through deltas of former girlfriends, degrees of confirmation of girlfriendhood, personal sightings of Rez or Lo together with whichever woman in whatever public place, each account illuminated with the importance the event had held for whoever had posted it. This being for Laney the most peculiar aspect of this data, the perspective in which these two loomed. Human in every detail but then not so. Everything scrupulously, fanatically accurate, probably, but always assembled around the hollow armature of celebrity. He could see celebrity here, not like Kathy’s idea of a primal substance, but as a paradoxical quality inherent in the substance of the world. He saw that the quantity of data accumulated here by the band’s fans was much greater than everything the band themselves had ever generated. And their actual art, the music and the videos, was the merest fragment of that.

High-quality and transparent data, clearly documented, timely rendered, and publicly available are the sine qua non of competent public health management. During a pandemic, reliable and comprehensive data are critical for determining the behavior of the pathogen, identifying vulnerable populations, rapidly measuring the effectiveness of interventions, mobilizing the medical community around cutting-edge disease management, and inspiring cooperation from the public. The shockingly low quality of virtually all relevant data pertinent to COVID-19, and the quackery, the obfuscation, the cherrypicking and blatant perversion would have scandalized, offended, and humiliated every prior generation of American public health officials. Too often, Dr. Fauci was at the center of these systemic deceptions. The “mistakes” were always in the same direction—inflating the risks of coronavirus and the safety and efficacy of vaccines in

The master propagandist, like the advertising expert, avoids obvious emotional appeals and strives for a tone that is consistent with the prosaic quality of modern life—a dry, bland matter-of-factness. Nor does the propagandist circulate "intentionally biased" information. He knows that partial truths serve as more effective instruments of deception than lies. Thus he tries to impress the public with statistics of economic growth that neglect to give the base year from which growth is calculated, with accurate but meaningless facts about the standard of living—with raw and uninterpreted data, in other words, from which the audience is invited to draw the inescapable conclusion that things are getting better and the present régime therefore deserves the people's confidence, or on the other hand that things are getting worse so rapidly that the present régime should be given emergency powers to deal with the developing crisis.

There's a myth that with age the vagina risks a "use it or lose it" scenario - meaning without the potency of a penis the vagina may shrink permanently. It's simply shocking (imagine my voice dripping in sarcasm) that there's no similar myth that the penis can avoid shrinkage with regular vaginal contact. The "use it or lose it" theory was based on lower quality data that wouldn't be accepted today. Loss of estrogen and age related changes are what affect a vagina: it's not a lament for the touch of a man.

In this zero-marginal-cost economy, the only way to make money is to scrape consumer data from your users and sell it to advertisers. In the creative world, nowhere does the fixed cost to produce high-quality music, video, books, and games get factored into this equation. How are musicians, journalists, photographers, and filmmakers going to survive in the zero-marginal-cost economy? For the media economy to continue, we are going to have to find ways to deal with the paradox that Summers and DeLong point to.

Even at that early date, the basic building blocks of web search had been already set in stone. Search was a four-step process. First came a sweeping scan of all the world’s web pages, via a spider. Second was indexing the information drawn from the spider’s crawl and storing the data on racks of computers known as servers. The third step, triggered by a user’s request, identified the pages that seemed best suited to answer that query. That result was known as search quality. The final step involved formatting and delivering the results to the user.

The future for ancient DNA laboratories that I find appealing is based on a model that has emerged among radiocarbon dating laboratories. For example, the Oxford Radiocarbon Accelerator Unit processes large numbers of samples for a fee, and uses this income stream to support a factory that churns out routine dates and produces data more cheaply, efficiently, and at higher quality than would be possible if its scientists limited themselves to their own questions. But its scientists then piggyback on the juggernaut of the radiocarbon dating factory they have built to do cutting-edge science,

We have first to distinguish knowledge of things and knowledge of truths. In each there are two kinds, one immediate and one derivative. Our immediate knowledge of things, which we called acquaintance, consists of two sorts, according as the things known are particulars or universals. Among particulars, we have acquaintance with sense-data and (probably) with ourselves. Among universals, there seems to be no principle by which we can decide which can be known by acquaintance, but it is clear that among those that can be so known are sensible qualities, relations of space and time, similarity, and certain abstract logical universals. Our derivative knowledge of things, which we call knowledge by description, always involves both acquaintance with something and knowledge of truths. Our immediate knowledge of truths may be called intuitive knowledge, and the truths so known may be called self-evident truths. Among such truths are included those which merely state what is given in sense, and also certain abstract logical and arithmetical principles, and (though with less certainty) some ethical propositions. Our derivative knowledge of truths consists of everything that we can deduce from self-evident truths by the use of self-evident principles of deduction.

I don’t know to what extent ignorance of science and mathematics contributed to the decline of ancient Athens, but I know that the consequences of scientific illiteracy are far more dangerous in our time than in any that has come before. It’s perilous and foolhardy for the average citizen to remain ignorant about global warming, say, or ozone depletion, air pollution, toxic and radioactive wastes, acid rain, topsoil erosion, tropical deforestation, exponential population growth. Jobs and wages depend on science and technology. If our nation can’t manufacture, at high quality and low price, products people want to buy, then industries will continue to drift away and transfer a little more prosperity to other parts of the world. Consider the social ramifications of fission and fusion power, supercomputers, data “highways,” abortion, radon, massive reductions in strategic weapons, addiction, government eavesdropping on the lives of its citizens, high-resolution TV, airline and airport safety, fetal tissue transplants, health costs, food additives, drugs to ameliorate mania or depression or schizophrenia, animal rights, superconductivity, morning-after pills, alleged hereditary antisocial predispositions, space stations, going to Mars, finding cures for AIDS and cancer.

Say Goodbye to Fingersticks & hello to Continuous Glucose Monitoring Systems Living with diabetes is a daily challenge, requiring individuals to closely monitor their blood glucose levels to maintain stable health. Fortunately, advancements in medical technology have revolutionized diabetes management, with one such innovation being Continuous Glucose Monitoring (CGM) systems. CGM has become a game-changer for diabetics, providing real-time data and insights that enable better control of blood sugar levels and, ultimately, a higher quality of life. In this article, we will explore the benefits of Continuous Glucose Monitoring and how it has transformed diabetes management for the better.

Data show that the more patients actually know, the less they want of our treatments at the end of life. A study of 230 surrogate decision makers for patients on breathing machines demonstrated that the better the quality of clinician–family communication, the less life support was elected. Another study showed that people were less likely to want CPR after they learned what it actually entailed. Most people dramatically overestimate the likelihood of survival after CPR. When they learn the real numbers, they are less likely to want it by about 50 percent. In short, when people have a more robust understanding of the benefits and burdens of the treatment they are actually getting, they want less of it.

I have found it frustrating at times that so few people know what the space program does and, as a result, are unaware that they benefit from it. Many people object to “wasting money in space” yet have no idea how much is actually spent on space exploration. The CSA’s budget, for instance, is less than the amount Canadians spend on Halloween candy every year, and most of it goes toward things like developing telecommunications satellites and radar systems to provide data for weather and air quality forecasts, environmental monitoring and climate change studies. Similarly, NASA’s budget is not spent in space but right here on Earth, where it’s invested in American businesses and universities, and where it also pays dividends, creating new jobs, new technologies and even whole new industries. The

Joy and sadness, vivacity and obtuseness are data of introspection, and when we invest landscapes or other people with these states, it is because we have observed in ourselves the coincidence between these internal perceptions and the external signs associated with them by the accidents of our constitution. Perception thus impoverished becomes purely a matter of knowledge, a progressive noting down of qualities and of their most habitual distribution, and the perceiving subject approaches the world as the scientist approaches his experiments. If on the other hand we admit that all these ‘projections’, all these ‘associations’, all these ‘transferences’ are based on some intrinsic characteristic of the object, the ‘human world’ ceases to be a metaphor and becomes once more what it really is, the seat and as it were the homeland of our thoughts.

von Braun went looking for problems, hunches, and bad news. He even rewarded those who exposed problems. After Kranz and von Braun’s time, the “All Others Bring Data” process culture remained, but the informal culture and power of individual hunches shriveled. In 1974, William Lucas took over the Marshall Space Flight Center. A NASA chief historian wrote that Lucas was a brilliant engineer but “often grew angry when he learned of problems.” Allan McDonald described him to me as a “shoot-the-messenger type guy.” Lucas transformed von Braun’s Monday Notes into a system purely for upward communication. He did not write feedback and the notes did not circulate. At one point they morphed into standardized forms that had to be filled out. Monday Notes became one more rigid formality in a process culture. “Immediately, the quality of the notes fell,” wrote another official NASA historian.

Recent studies indicate that boys raised by women, including single women and lesbian couples, do not suffer in their adjustment; they are not appreciably less “masculine”; they do not show signs of psychological impairment. What many boys without fathers inarguably do face is a precipitous drop in their socioeconomic status. When families dissolve, the average standard of living for mothers and children can fall as much as 60 percent, while that of the man usually rises. When we focus on the highly speculative psychological effects of fatherlessness we draw away from concrete political concerns, like the role of increased poverty. Again, there are as yet no data suggesting that boys without fathers to model masculinity are necessarily impaired. Those boys who do have fathers are happiest and most well adjusted with warm, loving fathers, fathers who score high in precisely “feminine” qualities.

The psychosis-inducing effects of synthetics offered one last, crucial piece of evidence about the risks of cannabis. And so, in January 2017, the National Academy of Medicine examined the thirty years of research that had begun with Sven Andréasson’s paper and declared the issue settled. “The association between cannabis use and development of a psychotic disorder is supported by data synthesized in several good-quality systematic reviews,” the NAM wrote. “The magnitude of this association is moderate to large and appears to be dose-dependent . . . The primary literature reviewed by the committee confirms the conclusions of the systematic reviews.” But almost no one noticed the National Academy report. The New York Times published an online summary of its findings—in May 2018, more than a year after it appeared. It has not changed the public policy debate around marijuana in the United States or perceptions of the safety of the drug.

I know that the consequences of scientific illiteracy are far more dangerous in our time than in any that has come before. It’s perilous and foolhardy for the average citizen to remain ignorant about global warming, say, or ozone depletion, air pollution, toxic and radioactive wastes, acid rain, topsoil erosion, tropical deforestation, exponential population growth. Jobs and wages depend on science and technology. If our nation can’t manufacture, at high quality and low price, products people want to buy, then industries will continue to drift away and transfer a little more prosperity to other parts of the world. Consider the social ramifications of fission and fusion power, supercomputers, data “highways,” abortion, radon, massive reductions in strategic weapons, addiction, government eavesdropping on the lives of its citizens, high-resolution TV, airline and airport safety, fetal tissue transplants, health costs, food additives, drugs to ameliorate mania or depression or schizophrenia, animal rights, superconductivity, morning-after pills, alleged hereditary antisocial predispositions, space stations, going to Mars, finding cures for AIDS and cancer. How can we affect national policy—or even make intelligent decisions in our own lives—if we don’t grasp the underlying issues? As I write, Congress is dissolving its own Office of Technology Assessment—the only organization specifically tasked to provide advice to the House and Senate on science and technology. Its competence and integrity over the years have been exemplary. Of the 535 members of the U.S. Congress, rarely in the twentieth century have as many as one percent had any significant background in science. The last scientifically literate President may have been Thomas Jefferson.* So how do Americans decide these matters? How do they instruct their representatives? Who in fact makes these decisions, and on what basis? —

If we look at the way an industrial producer creates new products, we see a long list of trials and errors and eventually improvement in quality at a lower cost. Urban policies and strategies, by contrast, often do not follow this logic; they are often repeated even when it is well known that they failed. For instance, policies like rent control, greenbelts, new light rail transports, among others, are constantly repeated in spite of a near consensus on their failure to achieve their objectives. A quantitative evaluation of the failure of these policies is usually well documented through special reports or academic papers; it is seldom produced internally by cities, however, and the information does not seem to reach urban decision makers. Only a systematic analysis of data through indicators allows urban policies to be improved over time and failing policies to be abandoned. But as Angus Deaton wrote: 'without data, anyone who does anything is free to claim success.

Imagine you're sitting having dinner in a restaurant. At some point during the meal, your companion leans over and whispers that they've spotted Lady Gaga eating at the table opposite. Before having a look for yourself, you'll no doubt have some sense of how much you believe your friends theory. You'll take into account all of your prior knowledge: perhaps the quality of the establishment, the distance you are from Gaga's home in Malibu, your friend's eyesight. That sort of thing. If pushed, it's a belief that you could put a number on. A probability of sorts. As you turn to look at the woman, you'll automatically use each piece of evidence in front of you to update your belief in your friend's hypothesis Perhaps the platinum-blonde hair is consistent with what you would expect from Gaga, so your belief goes up. But the fact that she's sitting on her own with no bodyguards isn't, so your belief goes down. The point is, each new observations adds to your overall assessment. This is all Bayes' theorem does: offers a systematic way to update your belief in a hypothesis on the basis of the evidence. It accepts that you can't ever be completely certain about the theory you are considering, but allows you to make a best guess from the information available. So, once you realize the woman at the table opposite is wearing a dress made of meat -- a fashion choice that you're unlikely to chance up on in the non-Gaga population -- that might be enough to tip your belief over the threshold and lead you to conclude that it is indeed Lady Gaga in the restaurant. But Bayes' theorem isn't just an equation for the way humans already make decisions. It's much more important that that. To quote Sharon Bertsch McGrayne, author of The Theory That Would Not Die: 'Bayes runs counter to the deeply held conviction that modern science requires objectivity and precision. By providing a mechanism to measure your belief in something, Bayes allows you to draw sensible conclusions from sketchy observations, from messy, incomplete and approximate data -- even from ignorance.

When we mix a practical ability to engineer minds with our ignorance of the mental spectrum and with the narrow interests of governments, armies and corporations, we get a recipe for trouble. We may successfully upgrade our bodies and our brains, while losing our minds in the process. Indeed, techno-humanism may end up downgrading humans. The system may prefer downgraded humans not because they would possess any superhuman knacks, but because they would lack some really disturbing human qualities that hamper the system and slow it down. As any farmer knows, it’s usually the brightest goat in the flock that stirs up the most trouble, which is why the Agricultural Revolution involved downgrading animals’ mental abilities. The second cognitive revolution, dreamed up by techno-humanists, might do the same to us, producing human cogs who communicate and process data far more effectively than ever before, but who can hardly pay attention, dream or doubt. For millions of years we were enhanced chimpanzees. In the future, we may become oversized ants.

Despite the advancements of systematic experimental pipelines, literature-curated protein-interaction data continue to be the primary data for investigation of focused biological mechanisms. Notwithstanding the variable quality of curated interactions available in public databases, the impact of inspection bias on the ability of literature maps to provide insightful information remains equivocal. The problems posed by inspection bias extend beyond mapping of protein interactions to the development of pharmacological agents and other aspects of modern biomedicine. Essentially the same 10% of the proteome is being investigated today as was being investigated before the announcement of completion of the reference genome sequence. One way forward, at least with regard to interactome mapping, is to continue the transition toward systematic and relatively unbiased experimental interactome mapping. With continued advancement of systematic protein-interaction mapping efforts, the expectation is that interactome 'deserts', the zones of the interactome space where biomedical knowledge researchers simply do not look for interactions owing to the lack of prior knowledge, might eventually become more populated. Efforts at mapping protein interactions will continue to be instrumental for furthering biomedical research.

A few years ago my friend Jon Brooks supplied this great illustration of skewed interpretation at work. Here’s how investors react to events when they’re feeling good about life (which usually means the market has been rising): Strong data: economy strengthening—stocks rally Weak data: Fed likely to ease—stocks rally Data as expected: low volatility—stocks rally Banks make $4 billion: business conditions favorable—stocks rally Banks lose $4 billion: bad news out of the way—stocks rally Oil spikes: growing global economy contributing to demand—stocks rally Oil drops: more purchasing power for the consumer—stocks rally Dollar plunges: great for exporters—stocks rally Dollar strengthens: great for companies that buy from abroad—stocks rally Inflation spikes: will cause assets to appreciate—stocks rally Inflation drops: improves quality of earnings—stocks rally Of course, the same behavior also applies in the opposite direction. When psychology is negative and markets have been falling for a while, everything is capable of being interpreted negatively. Strong economic data is seen as likely to make the Fed withdraw stimulus by raising interest rates, and weak data is taken to mean companies will have trouble meeting earnings forecasts. In other words, it’s not the data or events; it’s the interpretation. And that fluctuates with swings in psychology.

Many aspects of the modern financial system are designed to give an impression of overwhelming urgency: the endless ‘news’ feeds, the constantly changing screens of traders, the office lights blazing late into the night, the young analysts who find themselves required to work thirty hours at a stretch. But very little that happens in the finance sector has genuine need for this constant appearance of excitement and activity. Only its most boring part—the payments system—is an essential utility on whose continuous functioning the modern economy depends. No terrible consequence would follow if the stock market closed for a week (as it did in the wake of 9/11)—or longer, or if a merger were delayed or large investment project postponed for a few weeks, or if an initial public offering happened next month rather than this. The millisecond improvement in data transmission between New York and Chicago has no significance whatever outside the absurd world of computers trading with each other. The tight coupling is simply unnecessary: the perpetual flow of ‘information’ part of a game that traders play which has no wider relevance, the excessive hours worked by many employees a tournament in which individuals compete to display their alpha qualities in return for large prizes. The traditional bank manager’s culture of long lunches and afternoons on the golf course may have yielded more useful information about business than the Bloomberg terminal. Lehman

Again you must learn the point which comes next. Every circle, of those which are by the act of man drawn or even turned on a lathe, is full of that which is opposite to the fifth thing. For everywhere it has contact with the straight. But the circle itself, we say, has nothing in either smaller or greater, of that which is its opposite. We say also that the name is not a thing of permanence for any of them, and that nothing prevents the things now called round from being called straight, and the straight things round; for those who make changes and call things by opposite names, nothing will be less permanent (than a name). Again with regard to the definition, if it is made up of names and verbal forms, the same remark holds that there is no sufficiently durable permanence in it. And there is no end to the instances of the ambiguity from which each of the four suffers; but the greatest of them is that which we mentioned a little earlier, that, whereas there are two things, that which has real being, and that which is only a quality, when the soul is seeking to know, not the quality, but the essence, each of the four, presenting to the soul by word and in act that which it is not seeking (i.e., the quality), a thing open to refutation by the senses, being merely the thing presented to the soul in each particular case whether by statement or the act of showing, fills, one may say, every man with puzzlement and perplexity. [...] But in subjects where we try to compel a man to give a clear answer about the fifth, any one of those who are capable of overthrowing an antagonist gets the better of us, and makes the man, who gives an exposition in speech or writing or in replies to questions, appear to most of his hearers to know nothing of the things on which he is attempting to write or speak; for they are sometimes not aware that it is not the mind of the writer or speaker which is proved to be at fault, but the defective nature of each of the four instruments. The process however of dealing with all of these, as the mind moves up and down to each in turn, does after much effort give birth in a well-constituted mind to knowledge of that which is well constituted. [...] Therefore, if men are not by nature kinship allied to justice and all other things that are honourable, though they may be good at learning and remembering other knowledge of various kinds-or if they have the kinship but are slow learners and have no memory-none of all these will ever learn to the full the truth about virtue and vice. For both must be learnt together; and together also must be learnt, by complete and long continued study, as I said at the beginning, the true and the false about all that has real being. After much effort, as names, definitions, sights, and other data of sense, are brought into contact and friction one with another, in the course of scrutiny and kindly testing by men who proceed by question and answer without ill will, with a sudden flash there shines forth understanding about every problem, and an intelligence whose efforts reach the furthest limits of human powers. Therefore every man of worth, when dealing with matters of worth, will be far from exposing them to ill feeling and misunderstanding among men by committing them to writing. In one word, then, it may be known from this that, if one sees written treatises composed by anyone, either the laws of a lawgiver, or in any other form whatever, these are not for that man the things of most worth, if he is a man of worth, but that his treasures are laid up in the fairest spot that he possesses. But if these things were worked at by him as things of real worth, and committed to writing, then surely, not gods, but men "have themselves bereft him of his wits".

..."facts" properly speaking are always and never more than interpretations of the data... the Gospel accounts are themselves such data or, if you like, hard facts. But the events to which the Gospels refer are not themselves "hard facts"; they are facts only in the sense that we interpret the text, together with such other data as we have, to reach a conclusion regarding the events as best we are able. They are facts in the same way that the verdict of a jury establishes the facts of the case, the interpretation of the evidence that results in the verdict delivered. Here it is as well to remember that historical methodology can only produce probabilities, the probability that some event took place in such circumstances being greater or smaller, depending on the quality of the data and the perspective of the historical enquirer. The jury which decides what is beyond reasonable doubt is determining that the probability is sufficiently high for a clear-cut verdict to be delivered. Those who like "certainty" in matters of faith will always find this uncomfortable. But faith is not knowledge of "hard facts"...; it is rather confidence, assurance, trust in the reliability of the data and in the integrity of the interpretations derived from that data... It does seem important to me that those who speak for evangelical Christians grasp this nettle firmly, even if it stings! – it is important for the intellectual integrity of evangelicals. Of course any Christian (and particularly evangelical Christians) will want to get as close as possible to the Jesus who ministered in Galilee in the late 20s of the first century. If, as they believe, God spoke in and through that man, more definitively and finally than at any other time and by any other medium, then of course Christians will want to hear as clearly as possible what he said, and to see as clearly as possible what he did, to come as close as possible to being an eyewitness and earwitness for themselves. If God revealed himself most definitively in the historical particularity of a Galilean Jew in the earliest decades of the Common Era, then naturally those who believe this will want to inquire as closely into the historical particularity and actuality of that life and of Jesus’ mission. The possibility that later faith has in some degree covered over that historical actuality cannot be dismissed as out of the question. So a genuinely critical historical inquiry is necessary if we are to get as close to the historical actuality as possible. Critical here, and this is the point, should not be taken to mean negatively critical, hermeneutical suspicion, dismissal of any material that has overtones of Easter faith. It means, more straightforwardly, a careful scrutiny of all the relevant data to gain as accurate or as historically responsible a picture as possible. In a day when evangelical, and even Christian, is often identified with a strongly right-wing, conservative and even fundamentalist attitude to the Bible, it is important that responsible evangelical scholars defend and advocate such critical historical inquiry and that their work display its positive outcome and benefits. These include believers growing in maturity • to recognize gray areas and questions to which no clear-cut answer can be given (‘we see in a mirror dimly/a poor reflection’), • to discern what really matters and distinguish them from issues that matter little, • and be able to engage in genuine dialogue with those who share or respect a faith inquiring after truth and seeking deeper understanding. In that way we may hope that evangelical (not to mention Christian) can again become a label that men and women of integrity and good will can respect and hope to learn from more than most seem to do today.

This extreme situation in which all data is processed and all decisions are made by a single central processor is called communism. In a communist economy, people allegedly work according to their abilities, and receive according to their needs. In other words, the government takes 100 per cent of your profits, decides what you need and then supplies these needs. Though no country ever realised this scheme in its extreme form, the Soviet Union and its satellites came as close as they could. They abandoned the principle of distributed data processing, and switched to a model of centralised data processing. All information from throughout the Soviet Union flowed to a single location in Moscow, where all the important decisions were made. Producers and consumers could not communicate directly, and had to obey government orders. For instance, the Soviet economics ministry might decide that the price of bread in all shops should be exactly two roubles and four kopeks, that a particular kolkhoz in the Odessa oblast should switch from growing wheat to raising chickens, and that the Red October bakery in Moscow should produce 3.5 million loaves of bread per day, and not a single loaf more. Meanwhile the Soviet science ministry forced all Soviet biotech laboratories to adopt the theories of Trofim Lysenko – the infamous head of the Lenin Academy for Agricultural Sciences. Lysenko rejected the dominant genetic theories of his day. He insisted that if an organism acquired some new trait during its lifetime, this quality could pass directly to its descendants. This idea flew in the face of Darwinian orthodoxy, but it dovetailed nicely with communist educational principles. It implied that if you could train wheat plants to withstand cold weather, their progenies will also be cold-resistant. Lysenko accordingly sent billions of counter-revolutionary wheat plants to be re-educated in Siberia – and the Soviet Union was soon forced to import more and more flour from the United States.

Experiment: To replace negative character labels, try the following steps: 1. Pick a new, positive character label that you would prefer. For example, if your old belief is “I’m incompetent,” you would likely pick “I’m competent.” 2. Rate how much you currently believe the old negative character label on a scale of 0 (= I don’t believe it at all) to 100 (= I believe it completely). Do the same for the new positive belief. For example, you might say you believe “I’m incompetent” at level 95 and believe “I’m competent” at level 10 (the numbers don’t need to add up to 100). 3. Create a Positive Data Log and a Historical Data Log. Strengthening your new, positive character label is often a more helpful approach than attempting to hack away at the old, negative one. I’m going to give you two experiments that will help you do this. Positive Data Log. For two weeks, commit to writing down evidence that supports your new, positive character belief. For example, if you are trying to boost your belief in the thought “I’m competent” and you show up to an appointment on time, you can write that down as evidence. Don’t fall into the cognitive trap of discounting some of the evidence. For example, if you make a mistake and then sort it out, it’s evidence of competence, not incompetence, so you could put that in your Positive Data Log. Historical Data Log. This log looks back at periods of your life and finds evidence from those time periods that supports your positive character belief. This experiment helps people believe that the positive character quality represents part of their enduring nature. To do this experiment, split your life into whatever size chunks you want to split it into, such as four- to six-year periods. If you’re only in your 20s, then you might choose three- or four-year periods. To continue the prior example, if you’re working on the belief “I’m competent,” then evidence from childhood might be things like learning to walk, talk, or make friends. You figured these things out. From your teen years, your evidence of general competency at life might be getting your driver’s license (yes, on the third try still counts). Evidence from your early college years could be things like successfully choosing a major and passing your courses. Evidence for after you finished your formal education might be related to finding work to support yourself and finding housing. You should include evidence in the social domain, like finding someone you wanted to date or figuring out how to break up with someone when you realized that relationship wasn’t the right fit for you. The general idea is to prove to yourself that “I’m competent” is more true than “I’m incompetent.” Other positive character beliefs you might try to strengthen could be things like “I’m strong” (not weak), “I’m worthy of love” (not unlovable), and “I’m worthy of respect” (not worthless). Sometimes the flipside of a negative character belief is obvious, as in the case of strong/weak, but sometimes there are a couple of possible options that could be considered opposites; in this case, you can choose. 4. Rerate how much you believe the negative and positive character labels. There should have been a little bit of change as a result of doing the data logs. For example, you might bow believe “I’m incompetent” at only 50 instead of 95, and believe “I’m competent” at 60 instead of 10. You’ve probably had your negative character belief for a long time, so changing it isn’t like making a pack of instant noodles.

The most important scientific concept is that an assertion is often an empirical question, settled by collecting evidence. The plural of anecdote is not data, and the plural of opinion is not facts. Quality peer-reviewed scientific evidence accumulates into knowledge. People’s stories are stories, and fiction keeps us going. But science should settle policy.

The fundamental problem in the U.S. health care system is that the structure of health care delivery is broken. This is what all the data about rising costs and alarming quality are telling us. And the structure of health care delivery is broken because competition is broken. All of the well-intended reform movements have failed because they did not address the underlying nature of competition.

Since Ivy League admissions data is a notoriously classified commodity, when when Harvard officials said in previous years that alumni kids were just better, you had to take their word. But then federal investigators came along and pried open those top-secret files. The Harvard guys were lying. This past fall, after two years of study, the U.S. Department of Education's Office for Civil Rights (OCR) found that, far from being more qualified or equally qualified, the average admitted legacy at Harvard between 1981 and 1988 was significantly LESS qualified than the average admitted nonlegacy. Examining admissions office ratings on academics, extracurriculars, personal qualities, recommendations, and other categories, the OCR concluded that "with the exception of the athletic rating, [admitted] nonlegacies scored better than legacies in ALL areas of comparison." In his recent book, "Preferential Policies", Thomas Sowell argues that doling out special treatment encourages lackluster performance by the favored and resentment from the spurned. His far-ranging study flits from Malaysia to South Africa to American college campuses. Legacies don't merit a word.

chief executive of Google, reckoned in 2010 that about five exabytes of data, or the equivalent of 250,000 years of DVD-quality video, was created in the world every two days. By some estimates, in 2013 we will create that much data every 10 minutes.

A common feature of epidemiological data is that they are almost certain to be biased, of doubtful quality, or incomplete (and sometimes all three),” explained the epidemiologist John Bailar

Reality—according to the most stringent interpretation of the scientific data—is created by or at least correlative with the observer. It is in this light that natural philosophy needs now to be reinterpreted, with science placing a new emphasis on those special properties of life that make it fundamental to material reality. Yet even back then in the eighteenth century, Immanuel Kant, ahead of his time, said that “we must rid ourselves of the notion that space and time are actual qualities in things in themselves . . . all bodies, together with the space in which they are, must be considered nothing but mere representations in us, and exist nowhere but in our thoughts.

final step of the ETL process is the physical structuring and loading of data into the presentation area's target dimensional models. Because the primary mission of the ETL system is to hand off the dimension and fact tables in the delivery step, these subsystems are critical. Many of these defined subsystems focus on dimension table processing, such as surrogate key assignments, code lookups to provide appropriate descriptions, splitting, or combining columns to present the appropriate data values, or joining underlying third normal form table structures into flattened denormalized dimensions. In contrast, fact tables are typically large and time consuming to load, but preparing them for the presentation area is typically straightforward. When the dimension and fact tables in a dimensional model have been updated, indexed, supplied with appropriate aggregates, and further quality assured, the business community is notified that the new data has been published.

The structure of de Prony’s computing office cannot be easily seen in Smith’s example. His computing staff had two distinct classes of workers. The larger of these was a staff of nearly ninety computers. These workers were quite different from Smith’s pin makers or even from the computers at the British Nautical Almanac and the Connaissance des Temps. Many of de Prony’s computers were former servants or wig dressers, who had lost their jobs when the Revolution rendered the elegant styles of Louis XVI unfashionable or even treasonous.35 They were not trained in mathematics and held no special interest in science. De Prony reported that most of them “had no knowledge of arithmetic beyond the two first rules [of addition and subtraction].”36 They were little different from manual workers and could not discern whether they were computing trigonometric functions, logarithms, or the orbit of Halley’s comet. One labor historian has described them as intellectual machines, “grasping and releasing a single piece of ‘data’ over and over again.”37 The second class of workers prepared instructions for the computation and oversaw the actual calculations. De Prony had no special title for this group of workers, but subsequent computing organizations came to use the term “planning committee” or merely “planners,” as they were the ones who actually planned the calculations. There were eight planners in de Prony’s organization. Most of them were experienced computers who had worked for either the Bureau du Cadastre or the Paris Observatory. A few had made interesting contributions to mathematical theory, but the majority had dealt only with the problems of practical mathematics.38 They took the basic equations for the trigonometric functions and reduced them to the fundamental operations of addition and subtraction. From this reduction, they prepared worksheets for the computers. Unlike Nevil Maskelyne’s worksheets, which gave general equations to the computers, these sheets identified every operation of the calculation and left nothing for the workers to interpret. Each step of the calculation was followed by a blank space for the computers to fill with a number. Each table required hundreds of these sheets, all identical except for a single unique starting value at the top of the page. Once the computers had completed their sheets, they returned their results to the planners. The planners assembled the tables and checked the final values. The task of checking the results was a substantial burden in itself. The group did not double-compute, as that would have obviously doubled the workload. Instead the planners checked the final values by taking differences between adjacent values in order to identify miscalculated numbers. This procedure, known as “differencing,” was an important innovation for human computers. As one observer noted, differencing removed the “necessity of repeating, or even of examining, the whole of the work done by the [computing] section.”39 The entire operation was overseen by a handful of accomplished scientists, who “had little or nothing to do with the actual numerical work.” This group included some of France’s most accomplished mathematicians, such as Adrien-Marie Legendre (1752–1833) and Lazare-Nicolas-Marguerite Carnot (1753–1823).40 These scientists researched the appropriate formulas for the calculations and identified potential problems. Each formula was an approximation, as no trigonometric function can be written as an exact combination of additions and subtractions. The mathematicians analyzed the quality of the approximations and verified that all the formulas produced values adequately close to the true values of the trigonometric functions.

Synchronization of multiple service providers will be achieved for the management of quality standards and cable/wireless data

by region and service provider. c) Cable/wireless Data Service Quality Assessment Since 2007, the KCC has been assessing the

service) and wireless data services (3G and WiBro). In 2010, the quality assessments performed in 2009 were referenced to conduct assessment

Much of the cause of the teacher attrition rate is the condition under which many teachers work. “The data suggest that school staffing problems are rooted in the way schools are organized and the way the teaching occupation is treated and that lasting improvements in the quality and quantity of the teaching workforce will require improvements in the quality of the teaching job.”39

there is little empirical data on the effectiveness of foster parent training programs” (Dorsey, et al., 2008, p. 1405).  There is no evidence that training for foster parents impacts the type or quality of care that they provide to children in their home.

In the well reported Kubizek period from late 1904 through mid-1908, with its additiona data from the circumstances of failure at school, lung ailment, and tragic episode of his mother’s death, the picture remains the same. Hitler’s character is one of bold license for a youngster, but not directed toward dissolute behavior or activity that gives a hint of evil. Hitler devoured grand opera and classical music, painted, sketched, planned a great new Linz; he wrote sonnets, communed with nature, and exuded politeness and reserve. These are activities and qualities that suggest potential, although overblown, aspirations to artistic genius. What we see, like it or not, is morally laudable behavior and aspiration on the part of a young man in his teens. But is there a dark side somewhere in this picture? If there were a dark side, it probably would have been the light gray of the contempt that he had for many of his school teachers and his resistance to formal education. Hitler’s comments in Mein Kampf support such contempt and are buoyed by his indelible comment, about his tour of the customs office where his father worked, that the clerks and officials squatted about as monkeys in cages. -- Hitler: Beyond Evil and Tyranny, p. 101

At the time of the investigation, however, the data can often seem far more ambiguous. The most successful investigators reveal not just a willingness to engage with the incident, but also have the analytical skills and creative insights to extract the key lessons. Indeed, many aviation experts cite the improvement in the quality and sophistication of investigations as one of the most powerful spurs to safety in recent years.8

In the big data world, the new fear is that humans will become more like machines. I think back to the Obama campaign official who said, “We basically found our guts were worthless.” We may live more efficient lives as instincts are replaced by algorithms, but it is reasonable to fear that some of our most human qualities—love, spontaneity, autonomy—may be changed for the worse by our living more algorithmic lives.

The discovery that modified speech can drive neuroplasticity in the mature brain is just the most dramatic example (so far) of how sensory stimuli can rewire neuronal circuits. In fact, soon after Merzenich and Tallal published their results, other scientists began collecting data showing that, as in my own studies of OCD patients, brain changes do not require changes in either the quantity or the quality of sensory input. To the contrary: the brain could change even if all patients did was use mindfulness to respond to their thoughts differently. Applied mindfulness could change neuronal circuitry.

A computational procedure is said to have a top-down organization if it has been constructed according to some well-defined and clearly understood fixed computational procedure (which may include some preassigned store of knowledge), where this procedure specifically provides a clear-cut solution to some problem at hand. (Euclid's algorithm for finding the highest common factor of two natural numbers, as described in ENM, p. 31, is a simple example of a top-down algorithm.) This is to be contrasted with a bottom-up organization, where such clearly defined rules of operation and knowledge store are not specified in advance, but instead there is a procedure laid down for the way that the system is to 'learn' and to improve its performance according to its 'experience'. Thus, with a bottom-up system, these rules of operation are subject to continual modification. One must allow that the system is to be run many times, performing its actions upon a continuing input of data. On each run, an assessment is made-perhaps by the system itself-and it modifies its operations, in the lifht of this assessment, with a view to improving this quality of output. For example, the input data for the system might be a number of photographs of human faces, appropriately digitized, and the system's task is to decide which photographs represent the same individuals and which do not. After each run, the system's performance is compared with the correct answers. Its rules of operation are then modified in such a way as to lead to a probable improvement in its performance on the next run.

Many of today's personal computers are equipped with optical drives for storing and retrieving data on compact discs (CDs) or digital versatile disks (DVDs) that can be removed from the drive. A CD is a silvery plastic platter on which a laser records data as a sequence of tiny pits in a spiral track on one side of the disk. One CD can hold 680 MB of data. A DVD uses smaller pits packed in a tighter spiral. Some Blu-ray disks (high-density optical disks read with a blue-violet laser) can hold multiple layers of data-for a total capacity of 200GB, sufficient storage for many hours of studio-quality video and multi-channel audio.

Web Application Development In this modern world of computer technology all people are using internet. In particular, to take advantage of this scenario the web provides a way for marketers to get to know the people visiting their sites and start communicating with them. One way of doing this is asking web visitors to subscribe to newsletters, to submit an application form when requesting information on products or provide details to customize their browsing experience when next visiting a particular website. In computing, a web application is a client–server software application in which the client runs in a web browser. HTML5 introduced explicit language support for making applications that are loaded as web pages, but can store data locally and continue to function while offline. Web Applications are dynamic web sites combined with server side programming which provide functionalities such as interacting with users, connecting to back-end databases, and generating results to browsers. Examples of Web Applications are Online Banking, Social Networking, Online Reservations, eCommerce / Shopping Cart Applications, Interactive Games, Online Training, Online Polls, Blogs, Online Forums, Content Management Systems, etc.. Applications are usually broken into logical chunks called “tiers”, where every tier is assigned a role. Traditional applications consist only of 1 tier, which resides on the client machine, but web applications lend themselves to an n-tiered approach by nature. Though many variations are possible, the most common structure is the three-tiered application. In its most common form, the three tiers are called presentation, application and storage, in this order. A web browser is the first tier (presentation), an engine using some dynamic Web content technology (such as ASP, CGI, ColdFusion, Dart, JSP/Java, Node.js, PHP, Python or Ruby on Rails) is the middle tier (application logic), and a database is the third tier (storage).The web browser sends requests to the middle tier, which services them by making queries and updates against the database and generates a user interface. Client Side Scripting / Coding – Client Side Scripting is the type of code that is executed or interpreted by browsers. Client Side Scripting is generally viewable by any visitor to a site (from the view menu click on “View Source” to view the source code). Below are some common Client Side Scripting technologies: HTML (HyperTextMarkup Language) CSS (Cascading Style Sheets) JavaScript Ajax (Asynchronous JavaScript and XML) jQuery (JavaScript Framework Library – commonly used in Ajax development) MooTools (JavaScript Framework Library – commonly used in Ajax development) Dojo Toolkit (JavaScript Framework Library – commonly used in Ajax development) Server Side Scripting / Coding – Server Side Scripting is the type of code that is executed or interpreted by the web server. Server Side Scripting is not viewable or accessible by any visitor or general public. Below are the common Server Side Scripting technologies: PHP (very common Server Side Scripting language – Linux / Unix based Open Source – free redistribution, usually combines with MySQL database) Zend Framework (PHP’s Object Oriented Web Application Framework) ASP (Microsoft Web Server (IIS) Scripting language) ASP.NET (Microsoft’s Web Application Framework – successor of ASP) ColdFusion (Adobe’s Web Application Framework) Ruby on Rails (Ruby programming’s Web Application Framework – free redistribution) Perl (general purpose high-level programming language and Server Side Scripting Language – free redistribution – lost its popularity to PHP) Python (general purpose high-level programming language and Server Side Scripting language – free redistribution). We also provide Training in various Computer Languages. TRIRID provide quality Web Application Development Services. Call us @ 8980010210

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Detec Australia can scan or monitor the different types of systems installed in Australia offering those same waterproofing contractors, builders & architects peace of mind. Detec's patented technologies assist in the quality control of waterproof membrane installations and in revealing water or moisture intrusion. Our monitoring systems will alert owners of a water intrusion and provide data regarding its severity and location. There is no longer any need to flood an area to test for the integrity of the waterproofing. Detec Australia, electronic leak detection, is finally here.

Truly great leaders create an environment where the employees feel that the CEO cares more about the employees than she cares about herself. In this kind of environment, an amazing thing happens: A huge number of employees believe it’s their company and behave accordingly. As the company grows large, these employees become quality control for the entire organization. They set the work standard that all future employees must live up to. As in, “Hey, you need to do a better job on that data sheet—you are screwing up my company.

Maxine loves coding and she’s awesome at it. But she knows that there’s something even more important than code: the systems that enable developers to be productive, so that they can write high-quality code quickly and safely, freeing themselves from all the things that prevent them from solving important business problems.

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The first 20 percent often begins with having the right data, the right technology, and the right incentives. You need to have some information—more of it rather than less, ideally—and you need to make sure that it is quality-controlled. You need to have some familiarity with the tools of your trade—having top-shelf technology is nice, but it’s more important that you know how to use what you have. You need to care about accuracy—about getting at the objective truth—rather than about making the most pleasing or convenient prediction, or the one that might get you on television. Then you might progress to a few intermediate steps, developing some rules of thumb (heuristics) that are grounded in experience and common sense and some systematic process to make a forecast rather than doing so on an ad hoc basis.

suppliers (ii) JIT layout: Employees arranged in work cells. (iii) Inventory reduction (iv) Scheduling: with a level schedule (small batches of constantly changing items so that production meets daily demand) and Kanban system. (v) Continuous job improvement b) Six Sigma: A methodology that furnished tools for the improvement of business processes. The intent is to decrease process variation and improve product quality. The objective is get as close as possible to “zero defects” with an outer limit of 3.4 defects per million. i) Elements of six sigma: (1) Customer: The definition of quality – the acceptable rate of defects – is in the mind of customer. (2) Process: When assessing a process, the company has to adopt the customer ’mindset. (3) Employee: Training 6 sigma tools (green belt, black belt and master black belt). ii) 6 sigma process and tools: (1) Phase 1: Define the nature of the problem. (2) Phase 2: Measure existing performance and start recording data and facts that provide information on the underlying causes of the problem (3) Phase 3: Analyze the information to determine the root cause to the problem (4) Phase 4: Improve the process by effecting solutions to the problem. (5) Phase 5: Control the process until the solutions become ingrained.

Yes.” Then his lips were against mine, softly, sweetly, a featherlight touch. The kind of kiss you imagine when you’re a tween dreaming about your first kiss. He’d obviously intended for it to be sweet and gentle. Which meant that it should have made me feel dreamy and nostalgic and swoony. It did none of those things. From the moment his lips touched mine, it was like someone had plugged my mouth into an electrical socket. A surge zipped through me, giving me goose bumps and heating my blood. It lasted for only a few seconds but it almost zapped my ability to hold myself upright. He pulled back slightly, still within kissing range. I felt his warm breath against my face and it took all my restraint not to press my mouth against his and keep this going. Which he may not have wanted. I swallowed, trying to figure out what to do next. I settled on finding out what he’d thought of our experiment. “How,” I started to speak, surprised at the breathy quality to my voice. “How was that?” His lips pulled up into a smile. “I think I need more data before I can draw any conclusions.” Again, perfectly sound logic. I nodded, feeling as if I couldn’t quite catch my breath. I noticed that he was looking at my lips. As if he’d only had a fleeting impression and now needed to do a more thorough investigation. The look in his intense blue eyes made the air around me feel charged with energy, like lightning could strike us both then and there. That feeling didn’t lessen when he pressed his lips against mine again, this time kissing me. Not just a peck, but moving his mouth against mine with a gentle firmness that left me weak and shivering. He made the nerve endings in my lips explode from sheer pleasure. Now both of his hands were on the side of my face, guiding my head this way and that as he kissed me over and over again. Some

The unity of the object will remain a mystery for as long as we think of its various qualities (its colour and taste, for example) as just so many data belonging to the entirely distinct worlds of sight, smell, touch and so on. Yet modern psychology, following Goethe’s lead, has observed that, rather than being absolutely separate, each of these qualities has an affective meaning which establishes a correspondence between it and the qualities associated with the other senses. For example, anyone who has had to choose carpets for a flat will know that a particular mood emanates from each colour, making it sad or happy, depressing or fortifying. Because the same is true of sounds and tactile data, it may be said that each colour is the equivalent of a particular sound or temperature. This is why some blind people manage to picture a colour when it is described, by way of an analogy with, for example, a sound.

These are some of the bigger issues the developer testing strategy needs to address, but there will be smaller ones too, which still need to be handled to avoid diverging implementations and misunderstandings. Here are some questions that may be helpful in reaching such an understanding: Which tests give bang for the buck and which don’t? What types of tests are we running and how do they overlap? What types of tests are we avoiding (and why)? How large should a test preferably be? (Size depends on the level of abstraction too.) How many layers is a single test allowed to touch? Do we optimize for speed of execution or test simplicity? How do we handle test data and its setup? How do we approach integrations with external systems? What testing frameworks and libraries do we use? What trade-offs are we willing to make in the spirit of working with legacy code?

At present we’re snowed under with an irrational expansion of blind data-gathering in the sciences because there’s no rational format for any understanding of scientific creativity. At present we are also snowed under with a lot of stylishness in the arts … thin art … because there’s very little assimilation or extension into underlying form. We have artists with no scientific knowledge and scientists with no artistic knowledge, and both with no spiritual sense of gravity at all. And the result is not just bad, it is ghastly. The time for real reunification of art and technology is really long overdue.

The company’s problems with the FDA were far bigger than just the drugs intended for Africa. Ranbaxy had not properly tested the stability of almost any drugs on the U.S. market. The most basic good manufacturing practices require continuous monitoring of drug quality. Drug stability must be tested at intervals called “stations”: three months, six months, nine months, and so on. So long as a drug is on the market, that data has to be filed in an annual report with the FDA. One is never out of data, because obtaining it is simply part of the process.

First, citizens do not have to wait for GDP growth to deliver them the desire and power to demand clean air and water. That’s what Mariano Torras and James K. Boyce concluded when they matched up the very same cross-country data used to create the Environmental Kuznets Curve with measures of citizen power. Across a wide range of countries—and particularly in low-income ones—they found that environmental quality is higher where income is more equitably distributed, where more people are literate, and where civil and political rights are better respected.5 It’s people power, not economic growth per se, that protects local air and water quality.

this is not just the normal churn of capitalism’s creative destruction, a process that has previously helped lead to a new equilibrium of more jobs, higher wages, and a better quality of life for all. The free market is supposed to be self-correcting, but these self-correcting mechanisms break down in an economy driven by artificial intelligence. Low-cost labor provides no edge over machines, and data-driven monopolies are forever self-reinforcing.

The lack of meritocracy in academia is a problem that should concern all of us if we care about the quality of the research that comes out of the academy, because studies show that female academics are more likely than men to challenge male-default analysis in their work.53 This means that the more women who are publishing, the faster the gender data gap in research will close. And we should care about the quality of academic research.

A common feature of epidemiological data is that they are almost certain to be biased, of doubtful quality, or incomplete (and sometimes all three),” explained the epidemiologist John Bailar in The New England Journal of Medicine in 1980. “Problems do not disappear even if one has flawless data, since the statistical associations in almost any nontrivial set of observations are subject to many interpretations. This ambiguity exists because of the difficulty of sorting out causes, effects, concomitant variables, and random fluctuations when the causes are multiple or diffuse, the exposure levels low, irregular, or hard to measure, and the relevant biologic mechanisms poorly understood. Even when the data are generally accepted as accurate, there is much room for individual judgment, and the considered conclusions of the investigators on these matters determine what they will label ‘cause’…

I made the transition from a peacetime CEO to a wartime CEO. By virtue of my position and the fact that we were a public company, nobody besides me had the complete picture. I knew we were in deep, deep trouble. Nobody besides me could get us out of the trouble, and I was through listening to advice about what we should do from people who did not understand all the pieces. I wanted all the data and information I could get, but I didn’t need any recommendations about the future direction of the company. This was wartime. The company would live or die by the quality of my decisions, and there was no way to hedge or soften the responsibility. If everybody I had hired—and who gave their lives to the company—could be sent home with little to show for it, then there were no excuses that would help. There would be no: “It was a horrible economic environment”; “I got bad advice”; “Things changed so quickly.” The only choices were survival or total destruction. Yes, most things could still be delegated and most managers would be empowered to make decisions in their areas of expertise, but the fundamental question of whether—and how—Loudcloud could survive was mine and mine alone to answer.

As Graedon scrutinized the FDA’s standards for bioequivalence and the data that companies had to submit, he found that generics were much less equivalent than commonly assumed. The FDA’s statistical formula that defined bioequivalence as a range—a generic drug’s concentration in the blood could not fall below 80 percent or rise above 125 percent of the brand name’s concentration, using a 90 percent confidence interval—still allowed for a potential outside range of 45 percent among generics labeled as being the same. Patients getting switched from one generic to another might be on the low end one day, the high end the next. The FDA allowed drug companies to use different additional ingredients, known as excipients, that could be of lower quality. Those differences could affect a drug’s bioavailability, the amount of drug potentially absorbed into the bloodstream. But there was another problem that really drew Graedon’s attention. Generic drug companies submitted the results of patients’ blood tests in the form of bioequivalence curves. The graphs consisted of a vertical axis called Cmax, which mapped the maximum concentration of drug in the blood, and a horizontal axis called Tmax, the time to maximum concentration. The resulting curve looked like an upside-down U. The FDA was using the highest point on that curve, peak drug concentration, to assess the rate of absorption into the blood. But peak drug concentration, the point at which the blood had absorbed the largest amount of drug, was a single number at one point in time. The FDA was using that point as a stand-in for “rate of absorption.” So long as the generic hit a similar peak of drug concentration in the blood as the brand name, it could be deemed bioequivalent, even if the two curves reflecting the time to that peak looked totally different. Two different curves indicated two entirely different experiences in the body, Graedon realized. The measurement of time to maximum concentration, the horizontal axis, was crucial for time-release drugs, which had not been widely available when the FDA first created its bioequivalence standard in 1992. That standard had not been meaningfully updated since then. “The time to Tmax can vary all over the place and they don’t give a damn,” Graedon emailed a reporter. That “seems pretty bizarre to us.” Though the FDA asserted that it wouldn’t approve generics with “clinically significant” differences in release rates, the agency didn’t disclose data filed by the companies, so it was impossible to know how dramatic the differences were.

These new peaks in performance aren’t just the product of better technology. They’re a manifestation of a new philosophy of human potential. Increasingly, teams and players are adopting a growth mindset that rejects long-held beliefs about innate physical talent. One of the only innate qualities may be how hard players are willing to work.

The point is not to create rules based on the territory data, but to make that data available in an equation (illustrating the tradeoffs between longevity and quality of life, in this example) that patients, physicians, and even payers can use to ensure that desired outcomes are achieved as much as possible.

Trademark Trademark is fundamentally exceptional of a licensed innovation comprising plans, logos, and imprints. Organizations utilize different plans, logos, or words to recognize their items and administrations from others. Those imprints which help in distinctive the item or administrations from others and help the clients in distinguishing their image, quality, and even source of the item is known as Trademark. In contrast to licenses, a brand name is enlisted for a very long time, and from that point, it tends to be recharged for an additional 10 years after an additional installment of reestablishment expenses. Trademark Objection After the enrollment of the brand name, an Examiner/Registrar or outsider can set a trademark objection. As per Section(s) 9 (Absolute Grounds of Refusal) and 11 (Relative Grounds of Refusal) of the Act, these two can be the ground of a complaint:- The application contains wrong data, or Comparable or indistinguishable brand names exist. At whatever point a Trademark enlistment center mentions a criticism, a candidate has an occasion to send a composed answer alongside the strong proof, realities, and reasons why the imprint ought to be assigned to him within 30 days of the protest. On the off chance that the analyst/enlistment center discovers the answer to be adequate and addresses the entirety of his interests in the assessment report and there is no contention, at that point he may give authorization to the candidate to distribute the application in the Trademark diary before enrollment. How to respond to an objection A Trademark assessment report is set up on the Trademark office site alongside the subtleties of the brand name application and a candidate or a specialist has the occasion to send a composed answer which ought to be known as a trademark objection reply. The answer can be submitted as "Answer to the assessment report" either on the web or it tends to be submitted through a post or individual alongside supporting archives or a sworn statement. When the application gets recorded a candidate ought to be given a notification about the protest and ground of the complaint. Different grounds are:- There ought to be a counter assertion of the application, It ought to be recorded within 2 months of the application, On the off chance that the analyst neglects to record a complaint inside the time, at that point the status of the application will be deserted. After recording the counter of a complaint, the enlistment center will call a candidate for the meeting. On the off chance that it rules in the courtesy, at that point, the candidate will get it enrolled, and on the off chance that the answer isn't agreeable, at that point, the application for the enlistment will get dismissed. Trademark Objection Reply Fees Although I have gone through various sites, finding a perfect formal reply is quite difficult. But Professional Utilities provides a perfect reply through experts, also the trademark objection reply fees are really affordable. They provide services for just 1,499/- only.

And here is where we could see the emergence of new types of companies—“Auto-Tech.” These would either be vertically integrated or strategically allied companies, from vehicle manufacture, to fleet management, to ride hailing through their own platforms. They would be the master coordinators of multiple capabilities—manufacturing, data and supply chain management, machine learning, software and systems integration, and the delivery of high-quality “mobility as a service” to customers around the world. At this point, there is still no tipping point where the benefits of new technology and business models prove so overwhelming that they obliterate the oil-fueled personal car model that has reigned for so long.

First, purpose—what you hope to accomplish. In the case of Beane, he sought a better method for predicting baseball success. Second, scope—what to include or exclude in arriving at the decision. Beane decided to include past performance statistics and exclude aesthetic qualities. He reduced the scope of his search to data on performance. Third, perspective—your point of view in approaching this decision and how others might approach it.