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Rethinking U.S. Immigration Policy: Building a Responsive, Effective Immigration System

This discussion marked the launch of MPI's Rethinking U.S. Immigration Policy Initiative, which aims to generate a big-picture, evidence-driven vision of the role immigration should play in America’s future, as well as to build a bipartisan center so needed reforms can be enacted. The initiative's leader, MPI Senior Fellow Doris Meissner, joins in conversation with former Bush administration Commerce Secretary Carlos Gutierrez and former Obama White House Domestic Policy Council Director Cecilia Muñoz about the prospects for action and what's needed.




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Using Fear of the “Other,” Orbán Reshapes Migration Policy in a Hungary Built on Cultural Diversity

The recent rise in xenophobia in Hungary stands in marked contrast with the country's rich migration history. After 390,000 migrants and asylum seekers arrived in 2015, the government of Viktor Orbán issued policies to significantly limit migration and enacted a law criminalizing humanitarian assistance to migrants. This country profile examines Hungary’s migration past and present, tracing the country’s multicultural heritage to the current wave of anti-immigrant sentiment.




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Building Skills in North and Central America: Barriers and Policy Options toward Harmonizing Qualifications in Nursing

Amid aging populations and the growth of chronic diseases, the demand for skilled health-care professionals is on the rise in the United States, Canada, and Mexico. This report explores the policy implications, benefits, and challenges of harmonizing nursing qualifications in the region, suggesting that a more collaborative approach could result in greater supply and quality of nurses.




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As Governments Build Advanced Surveillance Systems to Push Borders Out, Will Travel and Migration Become Unequal for Some Groups?

As governments seek to push their borders out by amassing ever more data on travelers and migrants, their creation of increasingly complex border surveillance systems and use of risk-assessment technologies could ease mobility for some while rendering other groups immobile based on hypothetical risk profiles and decisions that are not publicly known and cannot be challenged, as this article explores.




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Texas A&M dental school opens new clinic, education building

Texas A&M College of Dentistry announced Jan. 17 it opened it’s a new 160,000-square-foot, nine-story clinic, which enables the dental school to increase underserved patients’ access to care.




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Rethinking U.S. Immigration Policy: Building a Responsive, Effective Immigration System

This event marks the launch of a major new initiative—Rethinking U.S. Immigration Policy—that aims to generate a big-picture, evidence-driven vision of the role immigration can and should play in America’s future in order to leverage a comparative advantage for the nation.




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In Search of a New Equilibrium: Immigration Policymaking in the Newest Era of Nativist Populism

In many recent European and U.S. elections, candidates touting nativist populist and anti-immigrant platforms have enjoyed rising support. As populism moves from the fringes into the mainstream, this report takes stock of the economic and social forces driving its rise, the diverse ways populists are influencing immigration policymaking, and what it will take to build a new center around immigration and integration issues.




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One Thing We Can't Build Alone in Iraq

When Columbia University sociologist Peter Bearman dived into the world of the white-gloved workers who open the front doors of expensive New York apartment buildings, he found that most people who applied for jobs as doormen never got one. Most doormen, however, had not applied for their jobs.




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Building an Evidence Base to Support Refugee Resettlement

Marking the release of an MPI Europe report commissioned as part of the EU-FRANK project, this webinar examines critical gaps in the research and evaluation of refugee resettlement programs and recommendations for improving evidence gathering and knowledge sharing between resettlement countries. 




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Beyond Transactional Deals: Building Lasting Migration Partnerships in the Mediterranean

Since the 2015–16 refugee crisis, European policymakers have eagerly sought cooperation with origin and transit countries in the hopes of stemming unauthorized migration to Europe. This approach is neither new, nor without its limitations. By examining the evolution of two longstanding Mediterranean partnerships—between Spain and Morocco, and Italy and Tunisia—this report offers insights on what has and has not worked.




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Is a U.S. Immigration System Rebuilt after 9/11 Prepared to Tackle Ever-Evolving Security Threats, Including Pandemics? Report Assesses Successes, Gaps

WASHINGTON — The U.S. immigration system was dramatically reshaped by the terrorist attacks of September 11, 2001, which shone a harsh spotlight on weaknesses in visa and immigration screening processes. From the creation of the Department of Homeland Security (DHS) to expanded national security protections in immigration and tourism policies, countless changes in the immigration arena have unfolded over the past 19 years.




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Rebuilding Community after Crisis: Striking a New Social Contract for Diverse Societies (Transatlantic Council Statement)

Addressing the deep-rooted integration challenges unearthed by large-scale migration and rapid social change will require a combination of strategies. Governments in Europe and North America must create a new social contract for increasingly diverse societies that are confronting cycles of disruption. This report sketches a blueprint for an adaptive process oriented by skill needs rather than national origins.




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Sad Vegetable Ratatouille

This recipe features on Foodie Tuesday, a weekly segment on 774 Drive with Raf Epstein, 3.30PM, courtesy of Cassie Duncan from Sustainable Table.




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Bouillabaisse

This recipe features on Foodie Tuesday, a weekly segment on 774 Drive with Raf Epstein, 3.30PM, courtesy of Tony Twitchett, Taxi Kitchen




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How we made our Free COVID-19 Alerting System and how you can build your own for any topic

Ever since we launched our Free COVID-19 Alerting System, we’ve been continuously asked how we made it. In this blog…




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Building Therapeutic Relationships: Choosing Words That Put People First

Jane K. Dickinson
Jan 1, 2017; 35:51-54
Commentary




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Picking a Theory is Like Building a Boat at Sea


"We are like sailors who on the open sea must reconstruct their ship
 but are never able to start afresh from the bottom." 
Otto Neurath's analogy in the words of Willard V. Quine

Engineers, economists, social planners, security strategists, and others base their plans and decisions on theories. They often argue long and hard over which theory to use. Is it ever right to use a theory that we know is empirically wrong, especially if a true (or truer) theory is available? Why is it so difficult to pick a theory?

Let's consider two introductory examples.

You are an engineer designing a robot. You must calculate the forces needed to achieve specified motions of the robotic arms. You can base these calculations on either of two theories. One theory assumes that an object comes to rest unless a force acts upon it. Let's call this axiom A. The other theory assumes that an object moves at constant speed unless a force acts upon it. Let's call this axiom G. Axiom A agrees with observation: Nothing moves continuously without the exertion of force; an object will come to rest unless you keep pushing it. Axiom G contradicts all observation; no experiment illustrates the perpetual motion postulated by the axiom. If all else is the same, which theory should you choose?

Axiom A is Aristotle's law of inertia, which contributed little to the development of mechanical dynamics. Axiom G is Galileo's law of inertia: one of the most fruitful scientific ideas of all time. Why is an undemonstrable assertion - axiom G - a good starting point for a theory?

Consider another example.

You are an economist designing a market-based policy to induce firms to reduce pollution. You will use an economic theory to choose between policies. One theory assumes that firms face pure competition, meaning that no single firm can influence market prices. Another theory provides agent-based game-theoretic characterization of how firms interact (without colluding) by observing and responding to price behavior of other firms and of consumers.

Pure competition is a stylized idealization (like axiom G). Game theory is much more realistic (like axiom A), but may obscure essential patterns in its massive detail. Which theory should you use?

We will not address the question of how to choose a theory upon which to base a decision. We will focus on the question: why is theory selection so difficult? We will discuss four trade offs.

"Thanks to the negation sign, there are as many truths as falsehoods;
we just can't always be sure which are which." Willard V. Quine

The tension between right and right. The number of possible theories is infinite, and sometimes it's hard to separate the wheat from the chaff, as suggested by the quote from Quine. As an example, I have a book called A Modern Guide to Macroeconomics: An Introduction to Competing Schools of Thought by Snowdon, Vane and Wynarczyk. It's a wonderful overview of about a dozen theories developed by leading economic scholars, many of them Nobel Prize Laureates. The theories are all fundamentally different. They use different axioms and concepts and they compete for adoption by economists. These theories have been studied and tested upside down and backwards. However, economic processes are very complex and variable, and the various theories succeed in different ways or in different situations, so the jury is still out. The choice of a theory is no simple matter because many different theories can all seem right in one way or another.

"The fox knows many things, but the hedgehog knows one big thing." Archilochus

The fox-hedgehog tension. This aphorism by Archilochus metaphorically describes two types of theories (and two types of people). Fox-like theories are comprehensive and include all relevant aspects of the problem. Hedgehog-like theories, in contrast, skip the details and focus on essentials. Axiom A is fox-like because the complications of friction are acknowledged from the start. Axiom G is hedgehog-like because inertial resistance to change is acknowledged but the complications of friction are left for later. It is difficult to choose between these types of theories because it is difficult to balance comprehensiveness against essentialism. On the one hand, all relevant aspects of the problem should be considered. On the other hand, don't get bogged down in endless details. This fox-hedgehog tension can be managed by weighing the context, goals and implications of the decision. We won't expand on this idea since we're not considering how to choose a theory; we're only examining why it's a difficult choice. However, the idea of resolving this tension by goal-directed choice motivates the third tension.

"Beyond this island of meanings which in their own nature are true or false
lies the ocean of meanings to which truth and falsity are irrelevant." John Dewey

The truth-meaning tension. Theories are collections of statements like axioms A and G in our first example. Statements carry meaning, and statements can be either true or false. Truth and meaning are different. For instance, "Archilochus was a Japanese belly dancer" has meaning, but is not true. The quote from Dewey expresses the idea that "meaning" is a broader description of statements than "truth". All true statements mean something, but not all meaningful statements are true. That does not imply, however, that all untrue meaningful statements are false, as we will see.

We know the meanings of words and sentences from experience with language and life. A child learns the meanings of words - chair, mom, love, good, bad - by experience. Meanings are learned by pointing - this is a chair - and also by experiencing what it means to love or to be good or bad.

Truth is a different concept. John Dewey wrote that

"truths are but one class of meanings, namely, those in which a claim to verifiability by their consequences is an intrinsic part of their meaning. Beyond this island of meanings which in their own nature are true or false lies the ocean of meanings to which truth and falsity are irrelevant. We do not inquire whether Greek civilization was true or false, but we are immensely concerned to penetrate its meaning."

A true statement, in Dewey's sense, is one that can be confirmed by experience. Many statements are meaningful, even important and useful, but neither true nor false in this experimental sense. Axiom G is an example.

Our quest is to understand why the selection of a theory is difficult. Part of the challenge derives from the tension between meaning and truth. We select a theory for use in formulating and evaluating a plan or decision. The decision has implications: what would it mean to do this rather than that? Hence it is important that the meaning of the theory fit the context of the decision. Indeed, hedgehogs would say that getting the meaning and implication right is the essence of good decision making.

But what if a relevantly meaningful theory is unprovable or even false? Should we use a theory that is meaningful but not verifiable by experience? Should we use a meaningful theory that is even wrong? This quandary is related to the fox-hedgehog tension because the fox's theory is so full of true statements that its meaning may be obscured, while the hedgehog's bare-bones theory has clear relevance to the decision to be made, but may be either false or too idealized to be tested.

Galileo's axiom of inertia is an idealization that is unsupported by experience because friction can never be avoided. Axiom G assumes conditions that cannot be realized so the axiom can never be tested. Likewise, pure competition is an idealization that is rarely if ever encountered in practice. But these theories capture the essence of many situations. In practical terms, what it means to get the robotic arm from here to there is to apply net forces that overcome Galilean inertia. But actually designing a robot requires considering details of dissipative forces like friction. What it means to be a small business is that the market price of your product is beyond your control. But actually running a business requires following and reacting to prices in the store next door.

It is difficult to choose between a relevantly meaningful but unverifiable theory, and a true theory that is perhaps not quite what we mean.

The knowledge-ignorance tension. Recall that we are discussing theories in the service of decision-making by engineers, social scientists and others. A theory should facilitate the use of our knowledge and understanding. However, in some situations our ignorance is vast and our knowledge will grow. Hence a theory should also account for ignorance and be able to accommodate new knowledge.

Let's take an example from theories of decision. The independence axiom is fundamental in various decision theories, for instance in von Neumann-Morgenstern expected utility theory. It says that one's choices should be independent of irrelevant alternatives. Suppose you are offered the dinner choice between chicken and fish, and you choose chicken. The server returns a few minutes later saying that beef is also available. If you switch your choice from chicken to fish you are violating the independence axiom. You prefer beef less than both chicken and fish, so the beef option shouldn't alter the fish-chicken preference.

But let's suppose that when the server returned and mentioned beef, your physician advised you to reduce your cholesterol intake (so your preference for beef is lowest) which prompted your wife to say that you should eat fish at least twice a week because of vitamins in the oil. So you switch from chicken to fish. Beef is not chosen, but new information that resulted from introducing the irrelevant alternative has altered the chicken-fish preference.

One could argue for the independence axiom by saying that it applies only when all relevant information (like considerations of cholesterol and fish oil) are taken into account. On the other hand, one can argue against the independence axiom by saying that new relevant information quite often surfaces unexpectedly. The difficulty is to judge the extent to which ignorance and the emergence of new knowledge should be central in a decision theory.

Wrapping up. Theories express our knowledge and understanding about the unknown and confusing world. Knowledge begets knowledge. We use knowledge and understanding - that is, theory - in choosing a theory. The process is difficult because it's like building a boat on the open sea as Otto Neurath once said. 




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How Massachusetts Is Building Capacity of Educator-Preparation Programs

Research findings on the implementation of a new teacher candidate performance assessment in Massachusetts inform the development of additional supports for educator preparation programs.




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Who Shows Up for Teachers? Coalition-Building in the Era of Educator Activism

"Teaching is a political act," argues teacher-turned-politician John Waldron. And it's going to take more organizing to rescue public education.




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Teachers Without Internet Work in Parking Lots, Empty School Buildings During COVID-19

While most teachers have online access at home, internet service for many educators in rural areas is spotty, expensive, or nonexistent.




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Teen pleads guilty to 2018 Kentucky school shooting




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Teachers Without Internet Work in Parking Lots, Empty School Buildings During COVID-19

While most teachers have online access at home, internet service for many educators in rural areas is spotty, expensive, or nonexistent.




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'I've Had a Lot of Survivor's Guilt': Columbine High's Former Principal on Healing His Community

Frank DeAngelis, who was the principal of Columbine High School from 1996-2014, talks about the steps he took to heal students and staff in the wake of the school shooting.




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Teachers Without Internet Work in Parking Lots, Empty School Buildings During COVID-19

While most teachers have online access at home, internet service for many educators in rural areas is spotty, expensive, or nonexistent.




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Building Better Special Education Leaders One State at a Time

Delaware is among three states using federal grants to develop school and district leaders who understand the complexities of special education.




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Building confidence in enrolling learners with disability for providers of education and training / ACPET, NDCO.




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Stigma & Resilience Framework : (National strategic framework to address HIV stigma and build resilience capacity for people living with HIV) / written and edited by Brent Allan and Kirsten Machon.

"The HIV resilience framework will be of relevance to a wide range of people involved at all levels of the HIV response. We hope it provides encouragement for government decision makers and policy developers to pursue consistent and enabling policy and legislative environments and work cooperatively between jurisdictions and across departments to achieve best practice. Our consultation suggests that consistent legislation with the goal of supporting strong health outcomes, making disclosure safe, and eliminating stigmatising laws is crucial to creating environments in which people with HIV feel safe to access testing, treatment, and care. The HIV resilience framework also contains valuable insights for those who have responsibility for HIV health program management and service delivery, providing guidance to help ensure that programs, services, interventions or strategies supporting people living with HIV are developed and delivered in a way that is mindful of the interlinked twin goals of building personal resilience and eliminating stigma and discrimination." --President's message (page 6).




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Caterpillars, moths and their plants ; of southern Australia / Peter McQuillan, Jan Forrest, David Keane, Roger Grund ; editors: Judith Lydeamore, Penny Paton, Peter Lang (plants), Peter Marriott (moths) ; illustrations: Howard Hanson ; layout: Jan Forres

Caterpillars -- Australia, Southern -- Identification -- Pictorial works.




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Indiana Using Data to Build Better Transcripts, College Transitions

Indiana's efforts to give students more control over their academic transcripts may prove a boon for researchers and school reformers, too.




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Die Wirkungen von Arzneimitteln und Giften auf das Auge : Handbuch für die gesammte ärztliche Praxis / von L. Lewin und H. Guillery.

Berlin : Hirschwald, 1905.




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Dissertation sur les généralités de la médecine clinique, présentée au concours pour une chaire de médecine clinique à la Faculté de médecine, le 11 juillet 1831 / par P.A. Piorry.

Paris : Pihan Delaforest (Morinval), 1831.




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Documents inédits sur la grande peste de 1348 (Consultation de la Faculte de Paris, consultation d'un praticien de Montpellier, description de Guillaume de Machaut) / publiés avec une introduction et des notes par L.-A. Joseph Michon.

Londres : Paris, 1860.




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Du cancer de l'uterus au point de vue de la de la conception de la grossesse et de l'accouchement / par Gustave Chantreuil.

Paris : A. Delahaye, 1872.




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Dystrophie papillaire et pigmentaire ou acanthosis nigricans : ses relations avec la carcinose abdominale / par Paul Couillaud.

Paris : Georges Carre, 1896.




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Esquisse psychologique des peuples européens / par Alfred Fouillee.

Paris : Alcan, 1903.




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Essai analytique sur la non-identité des virus gonorrhoïque et syphilitique : ouvrage couronné le 3 juillet 1810, par la Société de Médecine de Besancon, sur la question suívante: Déterminer par des expériences

Toulon : chez l'auteur, 1812.




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Observationes et historiae omnes & singulae è Guiljelmi Harvei libello De generatione animalium excerptae ... : Item Wilhelmi Langly De generatione animalium observationes quaedam. Accedunt Ovi faecundi singulis ab incubatione diebus factae inspe

Amstelodami : Typis A. Wolfgang, 1674.




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Men building Hadrian's wall, being reprimanded by a Roman centurion. Photograph after W.B. Scott.

[19--?]




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Seville: buildings and streets. Coloured etching, 17--.

[between 1700 and 1799]




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Toledo, Spain: buildings and streets. Coloured etching, 17--.

A Paris (rue St Jacques au dessus de celle des Mathurins au Gd. St. Remy : ches Huquier fils, graveur, [between 1700 and 1799]




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Palmyra, Syria: remains of the ancient buildings. Coloured etching, 17--.

[London] (No 69 St Paul's Churchyard) : Printed for Carington Bowles ; [London] (opposite Fetter Lane, Fleet Street) : Robt. Sayer ; [London] (in Cornhil) : Robert Wilkinson, [between 1700 and 1799]




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Egypt: the ruins of a building in ancient Roman style. Coloured etching, 17--.

A Paris (rue St Jacques au dessus de celle des Mathurins au Gd. St. Remy) : ches Huquier fils, graveur, [between 1700 and 1799]




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Egypt: a building designated as the palace of Alexander the Great. Coloured engraving, 17--.

A Paris (rue St Jacques a l'Hotel Saumur) : chez Mondhare, [between 1760 and 1792]




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No guilt in pleasure: a zine about resisting capitalism by having a nice time




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Sydney in 1848 : illustrated by copper-plate engravings of its principal streets, public buildings, churches, chapels, etc. / from drawings by Joseph Fowles.




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Deep Learning Framework for Detecting Ground Deformation in the Built Environment using Satellite InSAR data. (arXiv:2005.03221v1 [cs.CV])

The large volumes of Sentinel-1 data produced over Europe are being used to develop pan-national ground motion services. However, simple analysis techniques like thresholding cannot detect and classify complex deformation signals reliably making providing usable information to a broad range of non-expert stakeholders a challenge. Here we explore the applicability of deep learning approaches by adapting a pre-trained convolutional neural network (CNN) to detect deformation in a national-scale velocity field. For our proof-of-concept, we focus on the UK where previously identified deformation is associated with coal-mining, ground water withdrawal, landslides and tunnelling. The sparsity of measurement points and the presence of spike noise make this a challenging application for deep learning networks, which involve calculations of the spatial convolution between images. Moreover, insufficient ground truth data exists to construct a balanced training data set, and the deformation signals are slower and more localised than in previous applications. We propose three enhancement methods to tackle these problems: i) spatial interpolation with modified matrix completion, ii) a synthetic training dataset based on the characteristics of real UK velocity map, and iii) enhanced over-wrapping techniques. Using velocity maps spanning 2015-2019, our framework detects several areas of coal mining subsidence, uplift due to dewatering, slate quarries, landslides and tunnel engineering works. The results demonstrate the potential applicability of the proposed framework to the development of automated ground motion analysis systems.




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The Startup Owner's Manual : the Step-By-Step Guide for Building a Great Company

Blank, Steven G. (Steven Gary), author.
9781119690726 (electronic book)




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Sydney in 1848 : illustrated by copper-plate engravings of its principal streets, public buildings, churches, chapels, etc. / from drawings by Joseph Fowles.




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Boeing says it's about to start building the 737 Max plane again in the middle of the coronavirus pandemic, even though it already has more planes than it can deliver

Boeing CEO Dave Calhoun said the company was aiming to resume production this month, despite the ongoing grounding and coronavirus pandemic.





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Function-Specific Mixing Times and Concentration Away from Equilibrium

Maxim Rabinovich, Aaditya Ramdas, Michael I. Jordan, Martin J. Wainwright.

Source: Bayesian Analysis, Volume 15, Number 2, 505--532.

Abstract:
Slow mixing is the central hurdle is applications of Markov chains, especially those used for Monte Carlo approximations (MCMC). In the setting of Bayesian inference, it is often only of interest to estimate the stationary expectations of a small set of functions, and so the usual definition of mixing based on total variation convergence may be too conservative. Accordingly, we introduce function-specific analogs of mixing times and spectral gaps, and use them to prove Hoeffding-like function-specific concentration inequalities. These results show that it is possible for empirical expectations of functions to concentrate long before the underlying chain has mixed in the classical sense, and we show that the concentration rates we achieve are optimal up to constants. We use our techniques to derive confidence intervals that are sharper than those implied by both classical Markov-chain Hoeffding bounds and Berry-Esseen-corrected central limit theorem (CLT) bounds. For applications that require testing, rather than point estimation, we show similar improvements over recent sequential testing results for MCMC. We conclude by applying our framework to real-data examples of MCMC, providing evidence that our theory is both accurate and relevant to practice.