institutional antagonism willprevent the concentration of power, encouragesindividualist mentalities that lead to self-interestedactions and erode national unity.

“We’re changing federalism from the idea of shared expertise in different policy areas into partisan stakes in the ground that are meant to obstruct opponents,” Robertson says.

“The coronavirus response is actually sort of a perfect measuring stick of our transition to our contemporary, very polarized model of federalism.”

He has threatened to withhold federal funds from school districts that don’t open for in-person instruction.

He has threatened to withhold federal funds from school districts that don’t open for in-person instruction.

It could create incentives for action by conditioning a portion of funds going to states in any future relief packages on states’ adherence to the measures

Lacking strong federal leadership to guide a uniform response, the United States quickly fulfilled the World Health Organization’s prediction that it would become the new epicenter of Covid-19.

subject to constitutionally protected individual rights such as due process, equal protection, and freedom of travel and association

Strong, decisive national action is therefore imperative.

El matrimonio igualitario Argentina, Uruguay, México, Brasil y Colombia son los únicos países de América Latina que han legalizado el matrimonio de parejas homosexuales, con todas las condiciones legales que tienen los matrimonios convencionales. De igual manera, Holanda, Bélgica, Suecia, Alemania, Sudáfrica, España, Inglaterra, Portugal y otras 12 naciones más han hecho lo propio.   Entretanto, sólo 11 países permiten la unión civil entre parejas del mismo sexo (no incluye todos los derechos legítimos maritales) entre estos Ecuador, Chile, Austria, Italia y Grecia. Cambio de identidad El proceso de cambio de género o sexo es un proceso quirúrgico y psicológico que contempla el cambio físico. En la actualidad, naciones como Venezuela, Colombia, Uruguay, Bolivia y Perú permiten que la transformación también sea legal, con el cambio del nombre y género en los documentos de identidad de las personas LGBTI. Sin embargo, en Brasil y Argentina, este tipo de decretos han sido desaprobados o son procesos difíciles por lo riguroso de los exámenes y requisitos que truncan el derecho al trámite. Igualdad en derechos patrimoniales Las garantías, protecciones legales en los matrimonios tras el fallecimiento y divorcio también son logros alcanzados en menos de 20 años por la comunidad LGBTI. Pero estos aún están condicionados dependiendo del país, por la diferencia entre permitir la unión civil (algunos derechos de cónyuges) o el matrimonio igualitario (derechos legítimos).   Adopción homoparental Uruguay, México, Canadá (el primer país en permitirlo en 1999) y algunos estados de EE.UU. han legalizado la adopción para personas unidas del mismo sexo. Asimismo, España, Holanda, Francia y otros permiten que las parejas no heterosexuales puedan tener hijos por medio de la adopción legal. Protección a víctimas de discriminación Hasta 1948 la homosexualidad era considerada una enfermedad mental, pero esto cambió lo que permitió la apertura de sistemas de protección a víctimas de discriminación y agresión. En la actualidad, existen programas de atención social y judicial para el seguimiento de los casos de hostigamiento y asesinatos contra los homosexuales. Además hay coberturas de salud gratuitas para tratar enfermedades como el sida y la programas de integración laboral en distintas áreas. Tags Día contra la Homofobia LGBTI Derechos Discriminación BBC - La Vanguardia - El Excelsior - La Semana Por: teleSUR- db - SB - JCM Noticias Relacionadas OLP exhorta a Oriente Medio a tomar medidas contra Guatemala Bolivia afirma que Venezuela frena dominación de EE.UU. Chavismo toma Caracas en cierre de campaña de Nicolás Maduro Rodríguez: Comicios en Venezuela definen futuro de América Lati googletag.cmd.push(function() { googletag.display('div-gpt-ad-1493942656293-0'); });//]]>--> por Taboolapor TaboolaEnlaces PatrocinadosEnlaces PatrocinadosEnlaces PromovidosEnlaces PromovidosTe RecomendamosHepatitis C | Search AdsSigns of Hepatitis C (Some May Surprise)Hepatitis C | Search AdsPeoplewhizOne Thing All Cheaters Have In Common, Brace YourselfPeoplewhizDID U KNOW ReviewsUnsold 2019 SUVs Going for Pennies on the Dollar: Great For SeniorsDID U KNOW ReviewsDownload Now on Google Play | Neverland CasinoSan Jose Woman Was Playing on This Free Slot Machine App, When All Of A Sudden She Won BigDownload Now on Google Play | Neverland CasinoGet it on Google Play | House Of FunCasinos Will Hate You For Doing This but They Can’t Stop YouGet it on Google Play | House Of FunFungus Clear SupplementsSurgeon: Nail Fungus? 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all the subcolletions must have the same name, for instance tags

The world’s largest exhibitions organizer, London-based Informa plc, outlined on Thursday morning a series of emergency actions it’s taking to alleviate the impact of the COVID-19 pandemic on its events business, which drives nearly two-thirds of the company’s overall revenues. Noting that the effects have been “significantly deeper, more volatile and wide-reaching,” than was initially anticipated, the company says it’s temporarily suspending dividends, cutting executive pay and issuing new shares worth about 20% of its total existing capital in an effort to strengthen its balance sheet and reduce its approximately £2.4 billion ($2.9 billion) in debt to £1.4 billion ($1.7 billion). Further, Informa says it’s engaged in “constructive discussions” with its U.S.-based debt holders over a covenant waiver agreement.

hyperphagia

anteverted nares

short nose

low-set ears

widely spaced eyes

thick eyebrows

flat face

dolichocephaly

speech impairment

severe developmental delay

aortic dilatation

small patent ductus arteriosus

ventricular septal defect

atrial septal defect

mitral valve regurgitation

aggressive behaviors

attention deficit hyperactivity disorder

central obesity

cryptorchidism

Talipes equinovarus

arachnodactyly

scoliosis

excavatum

pectus carinatum

short philtrum

large ears

midface hypoplasia

open-mouth appearance

long face

hypotonia

tall stature

intellectual disability (ID)

developmental delay

Suppose the algorithm chooses a tree that splits on education but not on age. Conditional on this tree, the estimated coefficients are consistent. But that does not imply that treatment effects do not also vary by age, as education may well covary with age; on other draws of the data, in fact, the same procedure could have chosen a tree that split on age instead

hese heterogenous treatment effects can be used to assign treatments; Misra and Dubé (2016) illustrate this on the problem of price targeting, applying Bayesian regularized methods to a large-scale experiment where prices were randomly assigned

Chernozhukov, Chetverikov, Demirer, Duflo, Hansen, and Newey (2016) take care of high-dimensional controls in treatment effect estimation by solving two simultaneous prediction problems, one in the outcome and one in the treatment equation.

These same techniques applied here result in split-sample instrumental variables (Angrist and Krueger 1995) and “jackknife” instrumental variables

Understood this way, the finite-sample biases in instrumental variables are a consequence of overfitting.

Even when we are interested in a parameter β ˆ, the tool we use to recover that parameter may contain (often implicitly) a prediction component. Take the case of linear instrumental variables understood as a two-stage procedure: first regress x = γ′z + δ on the instrument z, then regress y = β′x + ε on the fitted values x ˆ. The first stage is typically handled as an estimation step. But this is effectively a prediction task: only the predictions x ˆ enter the second stage; the coefficients in the first stage are merely a means to these fitted values.

Prediction in the Service of Estimation

New Data

Zhao and Yu (2006) who establish asymptotic model-selection consistency for the LASSO. Besides assuming that the true model is “sparse”—only a few variables are relevant—they also require the “irrepresentable condition” between observables: loosely put, none of the irrelevant covariates can be even moderately related to the set of relevant ones.

First, it encourages the choice of less complex, but wrong models. Even if the best model uses interactions of number of bathrooms with number of rooms, regularization may lead to a choice of a simpler (but worse) model that uses only number of fireplaces. Second, it can bring with it a cousin of omitted variable bias, where we are typically concerned with correlations between observed variables and unobserved ones. Here, when regular-ization excludes some variables, even a correlation between observed variables and other observed (but excluded) ones can create bias in the estimated coefficients.

97the variables are correlated with each other (say the number of rooms of a house and its square-footage), then such variables are substitutes in predicting house prices. Similar predictions can be produced using very different variables. Which variables are actually chosen depends on the specific finite sample.

Through its regularizer, LASSO produces a sparse prediction function, so that many coefficients are zero and are “not used”—in this example, we find that more than half the variables are unused in each run

One obvious problem that arises in making such inferences is the lack of stan-dard errors on the coefficients. Even when machine-learning predictors produce familiar output like linear functions, forming these standard errors can be more complicated than seems at first glance as they would have to account for the model selection itself. In fact, Leeb and Pötscher (2006, 2008) develop conditions under which it is impossible to obtain (uniformly) consistent estimates of the distribution of model parameters after data-driven selection.

First, econometrics can guide design choices, such as the number of folds or the function class.

These choices about how to represent the features will interact with the regularizer and function class: A linear model can reproduce the log base area per room from log base area and log room number easily, while a regression tree would require many splits to do so.

Ta b l e 2Some Machine Learning Algorithms

Picking the prediction func-tion then involves two steps: The first step is, conditional on a level of complexity, to pick the best in-sample loss-minimizing function.8 The second step is to estimate the optimal level of complexity using empirical tuning (as we saw in cross-validating the depth of the tree).

egularization combines with the observability of predic-tion quality to allow us to fit flexible functional forms and still find generalizable structure.

This procedure works because prediction quality is observable: both predic-tions y ˆ and outcomes y are observed. Contrast this with parameter estimation, where typically we must rely on assumptions about the data-generating process to ensure consistency.

In empirical tuning, we create an out-of-sample experiment inside the original sample.

Performance of Different Algorithms in Predicting House Values

We consider 10,000 randomly selected owner-occupied units from the 2011 metropolitan sample of the American Housing Survey. In addition to the values of each unit, we also include 150 variables that contain information about the unit and its location, such as the number of rooms, the base area, and the census region within the United States. To compare different prediction tech-niques, we evaluate how well each approach predicts (log) unit value on a separate hold-out set of 41,808 units from the same sample. All details on the sample and our empirical exercise can be found in an online appendix available with this paper athttp://e-jep.org

Making sense of complex data such as images and text often involves a prediction pre-processing step.

The fundamental insight behind these breakthroughs is as much statis-tical as computational. Machine intelligence became possible once researchers stopped approaching intelligence tasks procedurally and began tackling them empirically.

In another category of applications, the key object of interest is actually a parameter β, but the inference procedures (often implicitly) contain a prediction task. For example, the first stage of a linear instrumental variables regres-sion is effectively prediction. The same is true when estimating heterogeneous treatment effects, testing for effects on multiple outcomes in experiments, and flexibly controlling for observed confounders.

Machine Learning: An Applied Econometric Approach

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coiled

short

asthenozoospermia

coagulopathy

hyperammonemia

Abnormal femoral head epiphysis

Irregular vertebrae

Hypoplastic vertebrae

INR

RALF

Hepatomegaly

Prothrombin time

Total bilirubin

AST

ALT

Glucose

ID

The only place he could think of was the Trianon in mid-town

Thinking that he heard a knocking on the front door, he remained still and listened. It came again, faintly, hesitantly. He went through the store, wondering who it could be.

He squirmed uneasily and wondered if Taro would acknowledge the telegram which he had sent the day before after finally having hunted down the information that he was taking basic training in a California camp

HE FUNERAL WAS HELD SEVERAL DAYS LATER AT THE BUDDHIST church up on the hill next to a playground.

They did not speak again until the car was beside the grocery store.

I went to Portland with him.”

‘Put my ashes in an orange crate and dump them in the Sound off Connecticut Street Dock where the sewer runs out,’

It scared him to think that he might be sobering up.

We can take any data set and put it into a pie chart, a continuous graph, a scatter plot, a tree map and so on.

Which process is the leader of a group of processes? What is the set of processes in a group?

The use of a legend and symbols helps, but cartographers, artists, and designers have also introduced spatial distortions and warps that are unusual and imaginative.

how we might expand the conventions of map-making to include the kinds of experiential aspects of human culture that are absent from many conventions.

very projection is a distortion, but the nature of the distortions varies depending on the ways the images are constructed and the purpose they are meant to serve

Eyewitness News has learned that the organisation that runs the Spar supermarket franchise has instructed that a human resources audit be conducted at all the Spars owned by Chris Giannakopoulos, who has been accused of assaulting staff and unfair labour practice.Giannakopoulos first started making headlines in October last year when he was accused of beating a female employee at the Food Lover's Market store in Hartebeespoort. He was scheduled to appear in court a week ago, but that the matter was struck from the role.The Giannakopoulos Group owns and operates more than two dozen Spars and also has interests in Food Lover's Market and OK Foods.Eyewitness News has seen a Spar guild letter to Giannakopoulos in which it states that he will no longer be allowed to play in role in the management and control of the Spars in the Giannakopoulos Group.The guild says that a human resources audit will be conducted at their Spars twice a year and the group is to dispose of its interests in Food Lover's Market and OK Food.The guild warns that if the Giannakopoulos Group fails to adhere to these instructions, it will remove all the Spars from the group.Spar’s Mandy Hogan declined to answer questions related to the content of the letter but says the company does not condone criminal behavior by any person and will take appropriate action where a person is found guilty.

Annotations

developmental delay

progressive microcephaly

Plasmids (IncP/N/W)with 373short and rigid pili only transfer efficiently on solid surfaces, unlike those with longand flexible 374pili (IncF/H/T/J),capable of transferring equally well in liquidand on solid surfaces[35,36]

Facial dysmorphisms

sleeping difficulties

Behavioral abnormalities

developmental delay

Pretender in Spain

I can see how the drama of this moment is enticing. It offers a grandeur, a sweeping purity to our possibly flawed and fumbling and ambivalent selves. It justifies all our failings and setbacks and mediocrities; it wasn’t us, it was men, or the patriarchy, holding us back, objectifying us. It is easier to think, for instance, that we were discriminated against than that our story wasn’t good enough or original enough to be published in The Paris Review, or even that it did not meet the editor’s highly idiosyncratic yet widely revered tastes. Or that a man said something awful and sexual to us while we were working on a television show, and we got depressed and could never again achieve what we might have. And yet do we really in our hearts believe that is the whole story? Is this a complete and satisfying explanation? There is, of course, sexism, which looms and shadows us in all kinds of complicated and unmappable ways, but is it the totalizing force, the central organizing narrative, of our lives? This is where the movement veers from important and exhilarating correction into implausibility and rationalization. (One of the deeply anonymous says, “This seems like such a boring way to look at your life.”)

I have a feeling that if one met @yoloethics or the rest of her Twitter cohort in person, they would seem normal, funny, smart, well read. But the vicious energy and ugliness is there beneath the fervor of our new reckoning, adeptly disguised as exhilarating social change. It feels as if the feminist moment is, at times, providing cover for vindictiveness and personal vendettas and office politics and garden-variety disappointment, that what we think of as purely positive social change is also, for some, blood sport.

It can be hard to disentangle one man and the things he may or may not have done from hundreds of years of sexist oppression.

“I like Lorin,” she told me. “I don’t have a personal stake in this.” She then informed me that he had sexually harassed two interns at Farrar, Straus and Giroux, where he had worked before his Paris Review tenure, leading to hushed-up, sealed settlements. She delivered this piece of highly specific information so confidently that I did not stop and think, even though I teach in a journalism department: Is this factually correct?

The night the New York Times broke the news of Stein’s resignation, I was with one of the deeply anonymous women in a coffee shop, and after I left she ran out and caught up to me on the dark street to tell me about it. When I got home, I saw that @MegaMoira had tweeted a photo of the piece with the words, “champagne anyone.” I thought of the email Lorin had sent me when my book on writers’ deaths, The Violet Hour, came out. It was such a strange, private project, but in a few lines he made it vivid again to me, renewed and energized me on a long winter afternoon to sit down and start something new. However one feels about the end of an era at The Paris Review, it doesn’t seem like a time for celebration.

However, after the list came out but before Lorin Stein resigned as editor of The Paris Review, she tweeted: “every profile of Lorin Stein calls him ‘skinny and bespectacled’ but here’s the thing: he’s not that skinny.” She added: “I guess ‘bespectacled, bald, and busting out [of] the bespoke shirts he’s still having made with 15 year old measurements’ doesn’t have the same ring to it.” Later, these tweets were deleted. But if we could think in less gendered terms for a moment, one could reasonably ask: Who is harassing whom?

I feel blessed to live in a society where you are free to walk through the city at night. I just don’t think those of us who are privileged white women with careers are really that afraid.

Here is what the last few days have reminded me: white men, even those on the left, are so safe, so insulated from the policies of a reactionary presidency, that many of them view politics as entertainment, a distraction without consequences, in which they get to indulge their vanity by fantasizing that they are on the side of good. . . . The morning after the election, I found the penis-shaped shot glass in my kitchen and threw it against the wall. I am not proud of this, but it felt good to destroy something a white man loved.

Every woman, every day, when she leaves her house, starts to think about safety. Can I go here? Should I go out there?. . . Do I need to find a taxi? Is the taxi driver going to rape me? You know, women are so hemmed in by fear of men, it profoundly limits our lives.

In 1996, a six-year-old boy with Coke-bottle glasses, Johnathan Prevette, was suspended from school for sexual harassment after kissing a little girl on the cheek.

Can this possibly be a good thing?

For years, women confined their complaints about sexual harassment to whisper networks for fear of reprisal from men.

Before the piece was even finished, let alone published, people were calling me “pro-rape,” “human scum,” a “harridan,” a “monster out of Stephen King’s ‘IT,’?” a “ghoul,” a “bitch,” and a “garbage person”—all because of a rumor that I was planning to name the creator of the so-called Shitty Media Men list.

No one would talk to me for this piece. Or rather, more than twenty women talked to me, sometimes for hours at a time, but only after I promised to leave out their names, and give them what I began to call deep anonymity.

I am not trying to suggest that the list makers don’t understand the difference in scale between leering and assault, but rather that the blurring of common (if a little sleazy) behavior and serious sexual harassment reveals a lot about how they think. For them, the world is overrun with leering monsters you have to steer around, as if in a video game.

To do a close reading of the list: some of the offenses on the spreadsheet (“creepy DMs,” “weird lunch ‘dates,’” “leering,” “flirting,” “violent language,” and “leading on multiple women online”) seem not quite substantial or rare enough to put into the category of sexual misconduct. I am not even sure they merit a warning to a hopeful young employee. I have graduate students who go on to work for these sorts of publications, and I am very mother-hen-ish about them. But I can’t imagine sitting with one of my smart, ambitious students in my office, lined with shelves of books like The Second Sex and A Room of One’s Own and I Love Dick and The Argonauts, saying, “Before you go work there, I just want to warn you, that guy might leer at you.” I would worry I was being condescending, treating her like a child who doesn’t know how to handle herself in the world

(“It feels Maoist,” says one of the deeply anonymous, while others question whether the list was ever designed to remain clandestine in the first place.)

The Shitty Media Men list, the anonymously crowd-sourced spreadsheet chronicling sexual misconduct in the publishing world, is a good example. If we think of how we would feel about a secretly circulating, anonymously crowd-sourced list of Muslims who might blow up planes, the strangeness of the document snaps into focus.

(One of the editors of n+1, Dayna Tortorici, tweets: “I get the queasiness of no due process. But . . . losing your job isn’t death or prison.”)

Can you see why some of us are whispering? It is the sense of viciousness lying in wait, of violent hate just waiting to be unfurled, that leads people to keep their opinions to themselves, or to share them only with close friends. I recently saw a startling reminder of this when Wesley Yang published an insightful and conflicted piece in Tablet called “Farewell to a Scoundrel,” about former Paris Review editor Lorin Stein and the feminist moment.

“It’s become like a thing people say when they can’t make their rent,” says Jenna, 22, a New York video-game designer. “ ‘Well, I could always just get a sugar daddy,’ ‘I guess I could just start camming,’ ” or doing sexual performances in front of a Webcam for money on sites like Chaturbate. “And it’s kind of a joke, but it’s also not because you actually could. It’s not like you need a pimp anymore. You just need a computer.”