text:
Unveiling the Bigger Picture
Scrubbing into the operating room, every member of the surgical team is focused on the task at hand: to successfully procure the lifesaving organs that will be transplanted into recipients who are waiting for these precious gifts. Before anything can begin, the team takes a moment to share information, provided by the donor family, about the donor's life, personality, and passions. "Everyone in the operating room takes a moment of silence to reflect on the donor and donor family." Then, like a switch, they must turn off their emotions attached to the donor and start the operation.
In preparation, Dr. Joshua D. Mezrich, MD finds it helpful to look at the surgery as a puzzle. He thinks through every step of the surgery and visualizes each task he must complete for a successful outcome, before stepping into the operating room. As he moves through the operation Dr. Mezrich uses mental images to anticipate the next steps while reassessing the patient and seeking help from his team. Each task is one step closer to finishing the "puzzle of the surgery."
This strategy helps Dr. Mezrich focus on the logistical aspect of the operation and alleviates the emotional pressures that may creep in throughout the course of a surgery. This type of focus began early for Dr. Mezrich. He grew up in a family of readers. His parents made he and his two brothers read two books a week and they would discuss their books at family dinners. This attention to detail fueled his passion for reading and writing later in life.
When Dr. Mezrich was in third grade, his father went to medical school. Although as a young boy, he never imagined he would become a doctor, he does believe seeing his father in this setting set a tone for his future. Dr. Mezrich studied Russian at Princeton University where he expanded his intrigue in language, culture, and literature, but eventually he did decide to go to Medical school.
After completing two years of classes at Cornell University Medical School, he began his rotations. The first day of his surgery rotation was a day he will never forget. "It was a crazy day. I was too scared to eat or drink anything and I felt sick all day," said Mezrich. Around 12 am, he was asked to go to a kidney transplant surgery. After a long and chaotic first day, this was the last thing Mezrich wanted to do.
It was the middle of the night in New York City, and out of nowhere a kidney was brought into the operating room in a cooler. At first look, "it was a lifeless piece of meat," recalled Mezrich. He watched as the surgeon transplanted the donor kidney into the recipient and then the "lifeless piece of meat" turned pink and started producing urine.
In that moment, Dr. Mezrich was astonished at what he had just witnessed. Fascinated by the innovation of the transplant, Dr. Mezrich wondered, "Could I do this? Is this something I could do one day?" From that point on, Mezrich knew transplant surgery was where he wanted to end up.
As Dr. Mezrich became more involved with the world of transplantation, he faced the mental and emotional obstacles that naturally come along with working in this specialty field.
"I was so nervous the first time I spoke with a donor family."
Much to his surprise, his conversations with donor families were emotional, but overall happy and insightful. As someone who loves reading, the stories he heard about donors had a grip on him. Not only did these stories enthuse Mezrich to continue pursuing transplantation, but they also planted a seed for a bigger concept.
After becoming a transplant surgeon specializing in solid organ transplantation including liver, kidney, and pancreas at the University of Wisconsin Hospital in Madison, Wisconsin, Dr. Mezrich was motivated to write a book. Mezrich read the book, "The Emperor of All Maladies," by Siddhartha Mukherjee, which utilizes patients' stories to explain the history of cancer. Inspired by this formula of combining clinical information with personal stories, Mezrich wanted to do the same with his book.
This was the start of a three year interviewing and writing process that culminated in Dr. Mezrich's book, When Death Becomes Life: Notes from a Transplant Surgeon. Mezrich created a three-part template for his book. The first part focused on the innovation of transplant. Mezrich spoke with the pioneers of transplantation and gave them the platform to share their story. He shed light on the history of transplantation and how far the field has come in the past few decades. The second part of the book is centered around his personal perspective on what is it like to be a transplant surgeon. He shares the reality behind what is like to be in an operating room; the timing, the precision, the back-up plans, all the factors that influence a transplant surgeon's success. The third part of his book, Dr. Mezrich shares patient stories. With 16 years of experience in the field of transplantation, he saw the emotional, physical, and financial challenges his patients endured, first-hand. In this final section,
Mezrich has a chapter on each organ with both inspiring and heartbreaking stories about transplant recipients, living donors, and donor families. A few of the stories involved previous patients of his. A young girl who grew up in a town that was 99% white and received an organ from an African American. A boy who choked on a tack and forever changed the lives of his family members. Mezrich did not just write about their stories, he explains how "I used these stories to talk about bigger concepts."
In his book, When Death Becomes Life: Notes from a Transplant Surgeon, Dr. Mezrich delves deep into controversial topics including the transplant waiting list; deciding who gets a transplant and who dies waiting, race, money, defining death, and living donation. He addresses questions like; Does an alcoholic get a transplant before someone else lower on the waiting list? Does it mean if a Caucasian woman receives a kidney from an African American man? When someone finds out the race or background of the person who donated an organ to them, what is their reaction? He also discusses how these scenarios play into the problems within our society overall. The connection between a donor and recipient is seemingly sacred, yet underlaying beliefs and societal issues are brought out through the process of transplantation.
Dr. Mezrich's book conveys many messages, but the main theme is highlighted in the book's title, "When Death Becomes Life." Transplantation starts with death and ends with life. In other fields, this is not the case. Many surgeons spend their entire career fighting death. But with transplant, "it is a tragedy that leads to beauty." Although individuals tragically pass away, there is beauty in the fact that they were able to give the gift of life as their final act.
As someone with many different creative pursuits, Dr. Mezrich's passion for connecting with individuals within the transplant community does not stop with his work as a transplant surgeon or author. Earlier this year, in January of 2021, Dr. Mezrich was asked to be the host of "The Sett," the official podcast for the University of Wisconsin Department of Surgery. He graciously accepted the offer, eager to have a new medium to unleash his creativity outside of the operating room.
Since starting the podcast, Dr. Mezrich has interviewed a variety of doctors. He says, "It's not just about transplantation, it is about what kind of person they are. What choices did they make in their life that led them to this point? How did they succeed?" This outlet has allowed Dr. Mezrich to meet many new people, learn how they arrived at where they are today, and start conversations about some of the problems our world is facing. All this, while sharing these discussions with his podcast listeners.
Dr. Mezrich's view on transplantation is utterly uniqueand stimulating. His passion for storytelling stimulates discussion surrounding many of the topics he believes characterize transplantation; family, love, loss, sacrifice, challenges, heartbreak, success, and ultimately life itself. The donation and transplant community are extremely fortunate to have Dr. Mezrich as a transplant surgeon and innovative leader in the field. While his surgical work is exemplary, it is his unique gift of sharing the beauty of transplantation – 'when death becomes life', that is truly magnificent.
Gift of Life Family House
Surgical Center Highlights Commitment to Innovation at Gift of Life Michigan


Even Elon Musk gets a little sad sometimes.
That second finding is the puzzle that Raj Raghunathan, a professor of marketing at The University of Texas at Austin's McCombs School of Business, tries to make sense of in his recent book, If You're So Smart, Why Aren't You Happy?
Raghunathan's writing does fall under the category of self-help (with all of the pep talks and progress worksheets that that entails), but his commitment to scientific research serves as ballast for the genre's more glib tendencies.
Raghunathan: If you take the need for mastery—the need for competence—there are two broad approaches that one can take to becoming very good at something. One approach is to engage in what people call social comparisons. That is, wanting to be the best at doing something: "I want to be the best professor there is," or something like that.
There are many problems with that, but one big problem with that is that it's very difficult to assess. What are the yardsticks for judging somebody on a particular dimension? What are the yardsticks for being the best professor? Is it about research, teaching?
Even if you take only teaching, is it the ratings you get from students, or is it the content that you deliver in class, or the number of students who pass an exam or take a test and do really well in it? So it gets very difficult to judge, because these yardsticks become increasingly ambiguous as a field becomes narrower or more technical.
So what happens in general is that people tend to gravitate toward less ambiguous—even if they're not so relevant—yardsticks. People judge the best professors by the number of awards they get, or the salary that they get, or the kind of school that they are in, which might on the face of it seem like it's a good yardstick for judging how good somebody is, but at the same time it's not really relevant to the particular field.
You don't have to be the President to be happy.
And those yardsticks are ones that we adapt to really quickly. So if you get a huge raise this month, you might be happy for a month, two months, maybe six months. But after that, you're going to get used to it and you're going to want another big bump.
And you'll want to keep getting those in order to sustain your happiness levels. In most people you can see that that's not a very sustainable source of happiness.
If you were to go back to the three things that people need—mastery, belonging, and autonomy—I'd add a fourth, after basic necessities have been met. It's the attitude or the worldview that you bring to life. And that worldview can be characterized, just for simplicity, in one of two fashions: One extreme is a kind of scarcity-minded approach, that my win is going to come at somebody else's loss, which makes you engage in social comparisons. And the other view is what I would call a more abundance-oriented approach, that there's room for everybody to grow.
Children don't have a scarcity mindset.
When you observe children, they are very good at this. They don't get distracted by all those extrinsic yardsticks. They go for things that really bring them a lot of enjoyment. In my book I talk when we got my son a little mechanical car when he was about 3 years old, because he saw a neighbor get that car.
He was into the car for about three days. After that he wanted to play with the box in which the car came. It was just a box. He didn't have any idea that the car cost more, or was more valuable, or more technologically advanced. He was into the box because he saw a character on a TV show called Hamilton the pig, who lives inside a box. He wanted to replicate that life for himself.
What we were trying to do in that particular study is bring that focus back into people's attention. For example, rather than sitting in front of the TV, a father might decide to play a little game of baseball with his son. What people might do varies, but when there's a reminder, what we discover is that—and these are studies conducted with Fortune 500 employees, undergraduate students—they make seemingly small, you might even call them trivial, decisions, but they add up to a happier life overall. This simple reminder on an everyday basis is a kind of reality check, which puts things in perspective for people.
Raghunathan: Daniel Pink, in his book Drive, talks about how what used to be used as motivators to employees—what he calls the carrots and sticks approach—are now being replaced by what he calls "Motivation 2.0," which is more trying to figure out what is it that people are really passionate about. Google is a famous big company that tries to practice this, and Whole Foods is another.
I do think that we carry lots of baggage from how businesses used to operate. Simon Sinek, in one of his books, makes the argument that businesses and the rules by which businesses operate are structured along the lines of how the military used to operate—very hierarchical and scarcity-oriented.
But he talks about how, actually, if you look a little bit deeper into the best leaders in the military, they tend not to be that way. So there's been a mistaken adoption of a certain set of ideas based on how things used to operate in the past, but in fact, what's now emerging as a much more successful approach to doing business and to being successful is having a more abundance-oriented approach.
Pinsker: You mentioned earlier how easily people adapt to positive changes in their lives, and I'm familiar with the research showing that lottery winners are no happier, a year later, than even people who just as recently suffered serious injuries.
Lottery winners often don't end up happier a year after they win.
That resonates with me: If you told me back in high school that I was going to be writing for a magazine, I'd have been overjoyed. And right now, I am happy in many ways, but I still have a lot of the same old insecurities and worries about the future. I assume it's something a lot of others experience too. Can you talk about what's necessary to steer yourself away from that mindset?
The one thing that has really really helped me in this regard is a concept that I call "the dispassionate pursuit of passion" in the book, and basically the concept boils down to not tethering your happiness to the achievement of outcomes. The reason why it's important to not tie happiness to outcomes is that outcomes by themselves don't really have an unambiguously positive or negative effect on your happiness.
Yes, there are some outcomes—you get a terminal disease, or your child dies—that are pretty extreme, but let's leave those out. But if you think about it, the breakup that you had with your childhood girlfriend, or you broke an arm and were in a hospital bed for two months, when they occurred, you might have felt, "Oh my goodness, this is the end of the world! I'm never going to recover from it." But it turns out we're very good at recovering from those, and not just that, but those very events that we thought were really extremely negative were in fact pivotal in making us grow and learn.
Everybody's got some kind of a belief about whether good things are going to happen or bad things are going to happen. There's no way to scientifically prove that one of these beliefs is more accurate than another. But if you believe life is benign, you're going to see lots of evidence for it.
If you think life is malign, you're going to see lots of evidence for it. It's kind of like a placebo effect. Given that all of these beliefs are all equally valid, why not adopt the belief that is going to be more useful to you in your life as you go along?
Pinsker: It's become clear to me after reading your book and talking to you that American culture, and maybe even capitalism in general, doesn't do very much to encourage the abundance approach over the scarcity approach.
Are there any societies or cultures that in your mind have figured this out, or is it the case that society will almost always send certain messages, and it's up to individuals to have their own counterprogramming?
SEE ALSO: How do you know what you're supposed to do with life?


This is a collection of images I took that caught my eye while I was out roaming the streets.
A young soul lost their friend in the road after a flash flood.
Caught Herbie racing by. Lucky to have my camera ready.
This Panda was left to greet volunteers cleaning up after a flash flood.
Oh you captured those things. Good thing you got your camera ready.
This is amazing and you are very courageous! I don't imagine I can walk a mile in your shoes after reading your story and that's courageous! Keep your head up darl.


The Complainant in this administrative proceeding is The National Collegiate Athletic Association ("NCAA"), an unincorporated association, with its principal place of business at 700 West Washington Street, Indianapolis, Indiana 46204, USA. The Respondent is Rosemary Giancola, whose principal place of business or residence is Apartamentos Escocia, Esquina Ave y Calle 27, San Jose, Costa Rica.
Each of the 32 domain names in issue with the date of registration are listed below.
A Complaint was received by the World Intellectual Property Organization Arbitration and Mediation Center (the "WIPO Center") on July 20, 2000. The initial Complaint joined thirty-five (35) domain names in a single action against two different Respondents. Thirty-two of the thirty-five names were registered in the name of Rosemary Giancola. Three of the thirty-five names were registered by Watch Dog Sports. On November 7, 2000, Complainant NCAA and Watch Dog Sports reached a settlement agreement that terminated the dispute against the three domain names held by Watch Dog Sports. The settlement agreement does not affect the dispute regarding the domain names held by Rosemary Giancola listed above. This decision applies to the thirty-two domain names registered in the name of Rosemary Giancola. All references to "Respondent" are references to Rosemary Giancola and not Watch Dog Sports.
Verification Responses were received from both Registrars confirming the essential information. A Notification of Complaint and Commencement of Administrative Proceeding was sent by the WIPO Center to the Complainant (facsimile and e-mail) and Respondent (facsimile, e-mail and post/courier), dated August 12, 2000. The Notification set a deadline of August 31, 2000 by which the Respondent could make a Response to the Complaint. The Commencement Notification was transmitted to the Respondent by e-mail to the e-mail address indicated in the Complaint and specified in the Registrars' Response Verifications. In addition, the Commencement Notification was sent by Post/Courier and transmitted by email to the addresses listed in the Complaint and confirmed by the Registrars. Having reviewed the communications records in the case file, the Administrative Panel finds that the WIPO Center has discharged its responsibility under Paragraph 2(a) of the Rules "to employ reasonably available means calculated to achieve actual notice to Respondent."
An email communication was received by Respondent on September 28, 2000.
On October 9, 2000, in view of the Complainant's designation of a single panelist, the WIPO Center invited Roderick Thompson to serve as a panelist in Case No. D2000-0836, and transmitted to him a Statement of Acceptance and Request for Declaration of Impartiality and Independence.
Having received Roderick Thompson's Statement of Acceptance and Declaration of Impartiality and Independence, on October 9, 2000, the WIPO Center sent to the parties a Notification of Panelist Appointment, in which Roderick Thompson was formally appointed as the Sole Panelist. The Projected Decision Date as determined by the WIPO Center Transmission of Case File to Administrative Panel, transmitted to the parties on October 9, 2000, was October 22, 2000. In view of the presence of exceptional circumstances, including the need to determine the status of dual Registrants, the deadline for the issuance of the Panel's decision was postponed to November 28, 2000 as permitted by Paragraph 10(c) of the Rules. The Sole Panelist finds that the Administrative Panel was properly constituted and appointed in accordance with the Rules and WIPO Supplemental Rules.
On August 12, 2000, a Formal Requirements Compliance review was completed by the assigned WIPO Center Case Manager. The WIPO Case Manager requested that the Complainant amend paragraph 15, VII Mutual Jurisdiction of the Complaint in order to comply with the UDRP Mutual Jurisdiction provisions. The Complaint was appropriately amended by Complainant on September 28, 2000. The Panel has independently determined and agrees with the assessment of the WIPO Center that the Complaint is now in formal compliance with the requirements of the Policy, the Rules for Uniform Domain Name Dispute Resolution Policy, as approved by ICANN on October 24, 1999 (the "Rules"), and the WIPO Supplemental Rules for Uniform Domain Dispute Resolution Policy, in effect as of December 1, 1999 (the "Supplemental Rules"). The required fees for a single-member Panel were paid by the Complainant on time and in the required amount.
According to information in the Complaint, Complainant owns multiple trademark registrations for "NCAA" including: United States Trademark Registration No. 976119, 1508377, 1728508, 1843616, 1790366. Complainant also lists U.S. trademark registrations for "NCAA Basketball" and "NCAA Football." The NCAA maintains a marketing and licensing program for the NCAA marks. Respondent is not licensed by the NCAA or its partners to use the NCAA marks.
Respondent is the current Registrant of the thirty-two domain names listed above that contain the term "NCAA."
Complainant contends that; 1) NCAA is the exclusive owner of the trademark rights in the term NCAA; 2) the current Registrant's use of the names to promote gambling is not a legitimate use of the names and 3) that the number of domain names registered containing the NCAA trademarks is sufficient evidence of bad faith. Additionally, Complainant asserts that the use of the terms "NCAA", "NCAA Basketball", "NCAA Mens Basketball" or "NCAA College Basketball" in the disputed domain names is identical and confusingly similar to the NCAA trademarks, events and official NCAA websites.
Complainant explains that it has been active in lobbying the Congress of the United States to enact legislation banning internet gambling, and is intending to use "the ICANN dispute resolution process both to protect its trademarks and to 'stop gambling interests' from using NCAA marks on the Internet." See Complaint Section V. ¶ 11.
At the time the complaint was filed, many of the domain names registered by Respondent linked to a site that provided access to Watch Dog Sports and its offshore betting partner, Caribi Sportsbook. Complainant asserts that by using these domain names to link to this site, Registrant has sought to capitalize on the goodwill of the NCAA championships.
Five of the domain names in dispute were registered by Mr. Randall Busack and transferred to Rosemary Giancola before this action commenced. In a letter sent to Complainant, Mr. Busack indicated to the NCAA that he would consider transferring the names if there was a compensation arrangement that would allow him to redirect his business ventures.
Complainant asserts that the names were transferred from Mr. Busack and Watch Dog Sports to Respondent in order to evade service of process, complicate jurisdiction if litigation is required, and conceal the true identity of the domain name holders.
Respondent asserts that there is no confusing similarity between the domain names and the trademarks held by Complainant. Instead, Respondent claims that the sites connected to the disputed domain names are general sports interest sites which supply information on topics related to the domain names. According to Respondent there is no way that a consumer would mistake the content of those sites as having any direct connection with the NCAA.
Paragraph 15(a) of the Rules instructs this Panelist as to the principles the Panelist is to use in rendering its decision: "A Panelist shall decide a complaint on the basis of the statements and documents submitted in accordance with the Policy, these Rules and any rules and principles of law that it deems applicable." While the Complainant in this dispute is domiciled in the United States, the Respondent is a resident of Costa Rica. Although Complainant alleges that Respondent may have previously resided in the United States, Respondent asserts in her email dated August 31, 2000 that she has never lived in the United States. Because Respondent is not a resident of the United States, this Panelist will not apply U.S. trademark law to resolve this dispute. Instead, the decision will be based on the requirements set out in the Uniform Dispute Resolution Policy. The parties may note that under Paragraph 4(k) of the Policy, this decision does not bar either party from submitting the dispute to a court. Thus if Complainant believes that registration of these domain names is a violation of U.S. AntiCybersquatting Consumer Protection Act – as cited in the Complaint – Complainant may bring such an action in U.S. court.
The UDRP Rules require that the Complaint "specify" the trademarks on which it is based and "for each mark, describe the goods or services, if any, with which the mark is used." Rule 3(b)(viii). Here, Complainant merely refers to "multiple trademark registrations" and provides several registration numbers, without identifying the goods or services or the specific marks or logos. This fails to comply with the Rule. Nonetheless, Respondent does not contest the strength or validity of the NCAA trademark and the Complainant does identify two marks NCAA BASKETBALL and NCAA FOOTBALL.
While Complainant made the process more difficult by not specifying the goods and services to which each trademark registration applies, the Panel finds that the NCAA trademark is widely known, at least in relation to the provision of services and goods related to and associated with national college basketball and football tournaments. Names 1-4 listed below correspond directly with the NCAA trademark and the events for which the NCAA is known: <ncaamensbasketball.com>, <ncaacollegebasketball.com>, <ncaamenstournament.com>, and <ncaacollegefootball.com>. These names are therefore confusingly similar to NCAA's registered trademarks.
Respondent has also registered names 5-20 that include the NCAA mark and events with which the NCAA is associated, but also include other terms such as "schedule," "scores," "results," and "recruiting." The services or information included in these terms are close to those provided by the NCAA and thus these domain names would tend to cause confusion. Such names are therefore considered confusingly similar to the NCAA mark.
Additionally, Respondent has registered names that include the NCAA mark but include terms related to gambling. Given the NCAA's strong opposition to gambling, it is less likely that these names could lead to any confusion. Instead these names appear to be a descriptive use of the NCAA mark to indicate sites that provide access to information on gambling on NCAA games. Thus the NCAA has not met its burden of proving that names 21-32 listed below are identical or confusingly similar to the NCAA trademark.
Complainant asserts that Respondent has no legitimate interest in the domain names. Respondent's response does not indicate any specific legitimate interest in the names other than to provide information relating to the NCAA and that she committed resources to "this business venture." As to names 1-20, the domain names do not link to web sites that provide information relating to the names themselves. Instead, the names all led to a single site that did not itself provide information relating to the domain name, but acted as a portal to two other sites. Linking to the portal site does not in itself demonstrate any use in connection with a bona fide offering of goods or services. A single registration of a domain name that links to a web site that provides information related to the domain name might constitute legitimate use of the name. That is not the issue to be decided by this Panel since 20 such names are registered in the name of Respondent and these 20 domain names do not link to web sites that provide a bona fide offering of goods or services. Complainant has met its burden, and Respondent did not provide any information useful to refuting the assertion made by Complainant, that Respondent has no legitimate interest in names 1-20.
A different case is raised by the domain names that include terms such as "gambling," "odds," "lines," and "predictions." Complainant asserts that promoting gambling is not a legitimate use. This administrative proceeding is not the appropriate venue for a debate on the legitimacy of gambling on the internet and the Panel expresses no opinion on the issue. Complainant notes that it is lobbying the U.S. government to make internet gambling illegal, but does not suggest that the alleged use is illegal. For purposes of this proceeding, therefore, a web site devoted to providing information or access to gambling on NCAA games qualifies as the bona fide offering of goods or services and thus constitutes a legitimate use. Thus Complainant has not met its burden of proving that the Registrant has no legitimate interest in names 21-32.
Because Complainant has not met its burden of proving confusing similarity and an absence of legitimate use, there is no need to determine whether names 21-32 listed below have been registered and used in bad faith. Complainant has met is burden of proving confusing similarity and lack of legitimate use for names 1-20 and therefore this Panel must determine whether such names were registered and used in bad faith.
Complainant points to a variety of factors in an effort to show bad faith on the part of the Registrant. First, Complainant points to the prior Registrant's offer to sell five of the domain names. While this offer may provide some circumstantial evidence that the current Registrant also acquired the names with an intent to sell them to the trademark holder, this evidence is not sufficient, by itself, to prove bad faith on the part of the current Registrant.
Additionally, Complainant asserts that the domain names were transferred to Respondent in an effort to create jurisdictional complications. The use of the domain names did not apparently change after the transfer of the names raising some question as to the rationale for transfer. While this does not prove an intent to create jurisdictional complications, there is no rebuttal or other information in Respondent's response on this issue.
Additionally, registration of a multitude of related domain names in some instances may serve as evidence that the domain names have been registered and used in bad faith. One domain name, or at least a few domain names specific to various tournaments, would generally be sufficient to achieve the purposes of providing information. In this case, registration of such a large number of related domain names without any explanation of their use or the need for the 32 names in issue by the Respondent leads to the conclusion that the intention was to generate traffic based on the goodwill of the trademark. When all of the factors are taken together, this Panelist finds that Complainant has shown bad faith registration and use of the domain names 1-20.


Mala Visión (Evil Vision(?)), for Mitos y Leyendas, Hijos del Sol (Children of the Sun) edition. Another Guarani myth. This one describes a spirit that protects the quiet forests and chases trespassers away with its screeches, if not simply feasting on them. I also really liked this one and, since I didn't have many restrictions, the process went quite smoothly.


text:
Q: Logistic Regression, continuous feature is categorical I'm using logistic regression for a simple binary classification.  I have a feature, x, and looks something like this
if x < 10 or x >= 20, then it tends to be class A
if 10 <= x < 20, then it tends to be class B

is the standard procedure to one hot encode this feature?

A: Yes, you'll want to create two variables $Y$ and $Z$.  Code $Y$ 1 if $X\le10$ or $X\ge20$.  Then you'll create another variable $Z$ and code it 1 if $10\le X\lt20$, otherwise zeo.

redpajama_set_name: RedPajamaStackExchange


text:
Full casting announced for Carrie
Greg Jameson April 9, 2015
Full casting has been announced for Carrie, which will receive its London Premiere in The Large at Southwark Playhouse, running from Friday 1st to Saturday 30th May. Preview performances are now sold out.
Evelyn Hoskins will star as Carrie White and Kim Criswell will star as her mother Margaret.
Evelyn Hoskins played Thea in the original cast of Spring Awakening at the Lyric Theatre and in the West End, with other theatre credits including Christmas with the Stars (Royal Albert Hall), Cool Rider (Lyric Theatre), This is My Family (Sheffield Crucible) and The Secret Garden (Birmingham Rep). Television credits include the reoccurring roles Lucy in Misfits (E4) and Shona in Casualty (BBC).
Kim Criswell is an Olivier Award-nominated actress whose career spans four decades and both sides of the Atlantic. In America, Kim featured in the original Broadway casts of The First, Nine, Baby and The Threepenny Opera, as well as playing Grizabella in the original LA cast of Cats. In the UK, Kim's many theatre credits include Singin' In The Rain in Concert (Royal Festival Hall), Follies (London Palladium), Company (Hackney Empire), On The Town (Royal Festival Hall) and her Olivier-nominated performance in the title role in Annie Get Your Gun (Prince of Wales Theatre).
Afterglow review
Nick Smith 1 month ago
Off-Broadway hit Afterglow to have UK Premiere at Southwark Playhouse in June
Full casting for Ain't Misbehavin' at the Southwark Playhouse
Greg Jameson February 17, 2019
Eric Idle co-creation Seussical The Musical at Southwark Playhouse throughout December
Angela Johnson November 28, 2018
New pictures revealed for 'larger-than-life' Seussical The Musical at Southwark Playhouse this November
Katy Davies October 17, 2018
Mother Courage and Her Children review
Angela Johnson November 8, 2017
Cast of world premiere of Bananaman the Musical revealed
Greg Jameson October 30, 2017
Mrs Orwell transfers to Southwark Playhouse
Greg Jameson August 28, 2017

redpajama_set_name: RedPajamaCommonCrawl


text:
Quality of Life: Mobile Apps for
Rehabilitation and Wellness
Prof. Bernd Brügge,
Prof. Daniel Siewiorek,
Carnegie Mellon University, US
Prof. Jürgen Höher,
Sportsclinic Cologne
John Humbrecht
Ignite Adaptive Sports
Lukas Alperowitz,
Juan Haladjian,
The goal of the course is to explore the potential of mobile and wearable devices in the field of Quality of Life, including health, wellness and rehabilitation. We will do this in a project-based way, as we do it in our iOS Lab Course (check last year's iOS projects). Each student will take part in one project. We will start with a problem statement, brainstorm on possible use cases, create prototypes (paper, physical prototypes), video trailers and finally hack a software. There will be three challenging projects to solve, which will be notified before the course starts. At the end of the course, each team will demonstrate their project.
The main platform for our mobile applications will be iOS. We will have some iPads and MacBooks available for you. During the course, we will possibly create some wearable or eTextile devices. For this, we will bring a whole bunch of stuff, such as Arduino based microcontrollers (Lilypads, Arduino Minis, Intel Edisons), different sensors and actuators such as accelerometers, pressure sensors and flex sensors, soldering equipment, cables, etc. Check out the iWatch and the Intel Curie as we will probably be getting some as well.
The internet connectivity in the Hotel where we will stay is very limited. It is recommended that you check the different references in this webpage and follow the Arduino and iOS tutorials before the course.
The course language is English.
Wearable Systems for Rehabilitation, Sports and Wellness
The Universität der Künste in Berlin developed a sleeve for rehabilitation of Carpal Tunnel Syndrome injuries in the wrist. The sleeve uses soft textile sensors to detect the wrist bending.
More info: http://www.design-research-lab.org/projects/cts-therapy-gauntlet/
eWatch: A wristband that senses acceleration, light, sound and temperature designed by the Carnegie Mellon University. One of the applications of the eWatch is detecting propulsion patterns of a wheel chair in order to warn users in case of damaging propulsion patterns.
More info: Smailagic, A., Siewiorek, D. P., Maurer, U., Rowe, A., Tank, K., eWatch: Context Sensitive System Design Case Study, Proc. IEEE Symposium on VLSI, 98-103
The SensorButton developed by the ETH in 2005 is a button with different sensors such as accelerometers, compass, microphone, light sensor, a MSP430 microcontroller and a 2.45GHz transceiver able to detect user activities such as sawing, drilling, hammering.
More info: Roggen, N. Bharatula, M. Stager, P. Lukowicz, and G. Troster, "From sensors to miniature networked sensor buttons," in Proc. 3rd Int. Conf. on Networked Sensing Systems - INSS 2006, June 2006, pp. 119-122.
In 2000, Georgia Tech created a wearable infrared camera system that could track the user's gestures. This Gesture Pendant was designed to control home electronics and to monitor the user for tremors.
More info: Starner, T.; Auxier, J.; Ashbrook, D.; Gandy, M., "The gesture pendant: a self-illuminating, wearable, infrared computer vision system for home automation control and medical monitoring," Wearable Computers, The Fourth International Symposium on , vol., no., pp.87,94, 16-17 Oct. 2000
A soft wearable robotic device composed of elastomeric artificial muscle actuators and soft fabric sleeves, for active assistance of knee motions.
More info: Yong-Lae Park; Santos, J.; Galloway, K.G.; Goldfield, E.C.; Wood, R.J., "A soft wearable robotic device for active knee motions using flat pneumatic artificial muscles," IEEE International Conference on Robotics and Automation (ICRA), pp.4805-4810, May 31 2014-June 7 2014
This is a prototype of a Yoga teaching assistant we developed during the Ferienakademie 2004. It enables Yoga students to perform the exercises at home with remote advice from a personal Yoga instructor. The system uses a camera to determine the users' performance.
More info: https://www.youtube.com/watch?v=kSffw-3lpDI&feature=player_embedded
The Carnegie Mellon developed a power wheelchair that detects the user posture using pressure sensors integrated in the chair and notifies the user whether he should change the sitting position in order to prevent back injuries.
More info: Siewiorek, Daniel; Smailagic, A.; Dey, A., "Architecture and Applications of Virtual Coaches," Proceedings of the IEEE, vol.100, no.8, pp.2472-2488, Aug. 2012
Flexible LED matrix displays integrated into an eTextile used to support group running.
More info: Matthew Mauriello, Michael Gubbels, and Jon E. Froehlich. 2014. Social fabric fitness: the design and evaluation of wearable E-textile displays to support group running. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '14). ACM, New York, NY, USA,pp. 2833-2842.
The KneeHapp bandage we developed during the iOS lab course measures motion and calculates the performance of a patient of a knee injury during different rehabilitation exercises.
The FitnessSHIRT developed by the Fraunhofer Institut IZM measures the physiological parameters from the wearer such as heart activity and respiration using textile electrodes and pulse sensors.
More info: http://www.iis.fraunhofer.de/de/ff/med/prod/sensorik/fitnessshirt.html
The Owlet Smart Sock, is an ankle-worn health tracking device for babies, with an accompanying app that tracks heart rate, oxygen levels, skin temperature and provides rollover alerts during sleep. https://www.owletcare.com/
The CMU in collaboration with the TUM developed applications to motivate patients of a brain stroke exercise their arm in order to recover their motion.
More info: http://www.cmu.edu/homepage/health/2011/spring/myomo.shtml
Further References
TangoHapps / Interactex IDE: http://www.interactex.de/software/interactex-designer-and-client/ and source code https://github.com/ls1intum/Interactex
Paper on Virtual Coaches


text:
Women's Hockey - Quinnipiac & Princeton (1/29, 1/30)
This weekend promised to be a big one for RPI, as they entered tied for fourth place with Princeton and Quinnipiac, the very two teams they would be facing at Houston Field House. A sweep would put the Engineers 2 points ahead of both, in lone possession of a home ice playoff spot with 6 games left.
While the Engineers didn't pick up the sweep, they did net 3 out of 4 points with a 1-0 shutout of Quinnipiac and a 1-1 tie against Princeton, good enough to move RPI into a 3-way tie for 3rd place in the ECAC, with Harvard and Princeton. The shutout against Quinnipiac was Sonja van der Bliek's 6th of the season (4th in ECAC play).
Monday morning saw van der Bliek named the ECAC Hockey Goaltender of the Week posting a 0.48 GAA and .978 save percentage on the weekend, while Kendra Dunlop was named to the weekly honor roll for scoring both of RPI's goals on the weekend. It is van der Bliek's first GotW honor this season, and the fourth in her career.
Finally, senior captain Allison was nominated for the NCAA Frozen Four Skills Competition with takes place on the off-day of the Frozen Four weekend in April. There is an online voting component, which can be found at http://www.ncaa.com/frozenfourskillschallenge/. Please cast your vote for Allison if you have an opportunity.
Wright/Harrison/Naslund
Padmore/Dunlop/Weidner
Horton/Vandegrift/O'Keefe
Guillemette/Jakubowski/Stapleton
Castignetti/Gersten
Daniels/Vadner
Van der Bliek
The one thing those of us at this game took home was an overwhelming question of how RPI could have possible been beaten 6-1 by this Quinnipiac team earlier in the season. The Bobcats had no puck control, no pressure, minimal shots on goal, and hooked, held, and hit their way around the ice as a result. There was no comparing the two teams, even if the final score would indicate a very close game.
After a scoreless first period and a half which saw Quinnipiac take four straight penalties, the officials decided it was time to swallow the whistles and they did not call another penalty in the remainder of the game - despite Quinnipiac playing the exact same way that left them shorthanded four times early.
Early in the third, RPI would score the lone goal that would hold up for the win. Laura Gersten connected with Kendra Dunlop who skated in alone and snuck a shot five-hole on Quinnipiac's Victoria Vigilanti to give the Engineers the 1-0 lead. A Quinnipiac timeout and empty net late in the period didn't help the Bobcats recover from the goal and the shutout stood for van der Bliek.
Le Donne/Vadner
Daniels/Gaylord
There were no worries of seeing nearly an entire scoreless game on Saturday, as Princeton took a 1-0 lead over RPI just 2:06 into the game on a real fluky goal. Princeton's Alex Kinney threw a soft shot toward the RPI net which tipped off Andie Le Donne's stick and bounced high, over van der Bliek's head and behind her into the net. From her response it looked like she expected the puck to go out of play, not behind her into the net.
The lead did not last long as Dunlop scored her second of the weekend, again from Laura Gersten. Gersten threw the puck on net on an RPI rush and Princeton goalie Rachel Weber gave up a rebound which Dunlop slammed home to tie the game at one.
Three straight Princeton penalties in the second gave RPI a chance to take the lead but they couldn't get anything going, managing just four shots in the frame despite nearly five minutes of power play time. The Engineers turned up the pressure in a fast-paced third, throwing 13 shots on net and taking just one penalty, with very few other stoppages, but again, no goals. In all, the second and third period of the game elapsed in just over the time Coach Appert spent talking to supporters at the pregame reception in New Haven before the men's game.
Overtime saw two RPI shots to one for Princeton, and an RPI penalty with 21 seconds remaining, but the game was destined to go down as a tie, giving the Engineers and Tigers a point each and moving them both ahead of Quinnipiac and into a tie with Harvard for third place.
Clarkson looks to be pretty safe in first place with 27 points, while Cornell is in second with 23 before we hit the RPI/Harvard/Princeton tie for third with 20 points. Quinnipiac is one back with 19, followed by SLU with 17. The rest drops off from there, with Yale in 8th place with 13 points. Colgate and Dartmouth are still in the hunt for playoff berths, while Brown and Union will certainly be done at the end of the regular season. With a game remaining against each of the three teams ahead of them, RPI has a chance to make up some ground and make a real run at playoff home ice for the first time since joining the ECAC. Perhaps the biggest test of all will come next Friday night as the Engineers travel to Potsdam to take on the #3 nationally-ranked Golden Knights. Game time is 7pm.
RPI vs. Quinnipiac
ECAC Hockey Game – Houston Field House (Troy, NY)
1/29/10 - 7:00pm
RPI 1, Quinnipiac 0
BOX SCORES:
College Hockey Stats: http://collegehockeystats.net/0910/boxes/wquiren1.j29
USCHO: http://www.uscho.com/box/?date=20100129&vis=qu&home=rpi&gender=w
RECAPS:
RPI: http://www.rpiathletics.com/news/2010/1/29/WICE_0129104210.aspx
QU: http://www.quinnipiacbobcats.com/ViewArticle.dbml?DB_OEM_ID=17500&ATCLID=204877284
RECORD: 11-10-5 (8-4-3 ECAC Hockey, 19 points)
RPI vs. Princeton
1/30/10 – 4:00pm
RPI 1, Princeton 1
College Hockey Stats: http://collegehockeystats.net/0910/boxes/wprnren1.j30
USCHO: http://www.uscho.com/box/?date=20100130&vis=pri&home=rpi&gender=w
Princeton: http://www.goprincetontigers.com/ViewArticle.dbml?DB_LANG=C&DB_OEM_ID=10600&ATCLID=204877789
ECAC Standings (as of 1/31/10):
GP    Pts    ECAC      All
Clarkson    15    27     13-1-1    19-5-3
Cornell     16    23     9-2-5     10-8-5
Harvard     16    20     9-5-2     12-5-4
Princeton   16    20     8-4-4     10-9-4
RPI         16    20     8-4-4     11-10-6
Quinnipiac  16    19     7-4-5     14-8-6
SLU         15    17     7-5-3     11-9-7
Yale        16    15     7-8-1     9-11-3
Colgate     16    12     4-8-4     8-16-4
Dartmouth   16    11     5-10-1    8-12-2
Brown       16    3      0-13-3    2-16-4
Union       16    3      1-14-1    5-22-1
Feb. 5 – at Clarkson
Feb. 6 – at St. Lawrence
Feb. 12 - Harvard
Feb. 13 - Dartmouth
The Engineers went 1-0-1 last week, topping Quinnipiac on Friday (1-0), before tying Princeton in overtime (1-1) on Saturday. Junior Sonja van der Bliek (Toronto, ON) stopped 45 of 46 shots she faced on the weekend, including 17 stops in RPI's shutout of the Bobcats.
Rensselaer (11-10-6; 8-4-4 ECACH) is back in action this weekend, when it visits North Country-rivals Clarkson and St. Lawrence. Live stats for Friday's match-up with the third-ranked Golden Knights can be found at http://www.ecachockey.com/livestats/clarkson/landing. Live stats for Saturday's game will be available at http://www.ecachockey.com/livestats/stlawrence/landing. Live video will also be available for both games on a pay-per-view basis through the B2 Networks at http://www.b2livetv.com/upcoming_events.asp?q=v&value=ecac.
Posted by Gary Russinko at 7:55 PM
keywords: kendra dunlop, princeton, quinnipiac, recap, sonja van der bliek, women's hockey
Women's Hockey - ECAC Quarterfinals (Game 2)
Flush it Down
With One Game Left
It's the Final Countdown
ECAC Playoffs: The Elite Eight
He's Only a Man In a Funny Red Sheet
Men's Hockey - Quinnipiac and Princeton (19/20 Feb...
Women's Hockey - at Cornell & Colgate (2/19-2/20)
Mid-weekend Reset
Time to Fly Now
Chase Po-la-cek = Ho-bey Ba-ker?
Women's Hockey - Harvard & Dartmouth (2/12-13)
Men's Hockey - at Harvard and Dartmouth (12/13 Feb...
Happy President(s) Day
We're All Homers
A Picture Tells A Thousand Words
That's What Lights My Fire
ECAC Awards: A Not So Early Look at Contenders
Men's Hockey - St. Lawrence and Clarkson (5/6 Feb)...
Women's Hockey - at Clarkson & St. Lawrence (2/5, ...
We're Still Preoccupied
Ring of Honor: Who's Next?
Men's Hockey - at Brown and Yale (29/30 Jan)
Women's Hockey - Quinnipiac & Princeton (1/29, 1/3...


text:
Reginald Gladney
55 – 64, COVID-19 Veteran Deaths, July 2020, People from St. Louis County who died of COVID-19 | 2 comments
Reginald Gladney died July 30, 2020 of COVID-19. He was 56 years old. Reginald served in the United States Marine Corps, Army, and Air Force for 21 years and retired a decorated veteran. After military retirement, he went onto a second career, working for in civil process as a St. Louis County Sheriff's Deputy for 11 years and security for 17+ years with the St. Louis Blues Association.
More than his impressive career, Reginald was a mentor, friend, and father. He loved life, his family, and truly saw the beauty in other people. He took his joy from helping make life a little better for those blessed to know or even casually encounter him.
As his obituary so eloquently put it: "If you've ever been to a STL Blues game there is a very good chance you met our father Reggie. To our father, meeting people and being a joy bringer was something to look forward to. People are a valuable treasure and he treasured his Tribe. Reggie, modeled himself to his favorite superheros Superman and Batman. He believed in goodness. He believed that every person is superhuman and had the ability to do good or harm. He believed in conscious choices, deliberate intentions, and grace. Our father believed in people and chose to live a life of service. If you haven't guessed, our fathers love language was Acts of Service and he spoke it loudly. He practiced goodness, consciously, daily. His goodness was infectious. His smile was bigger than his face could contain. He had an expansive chest with massive pythons for arms. He could give a hug that enveloped your entire being. His deep belly laughter was the soundtrack to many special moments, as were his frequent threats of bodily harm, playful teasing, and random dancing. To our father you were his brother, sister, daughter, son, child, or sunshine. The greeting was a reminder, you were his family…
…He was humble, gentle, and kind. Our father was a cultivator of joy. Everyone blessed with an encounter with Reggie, all became happier, healthier, better versions of ourselves because of his joy."
If the point of life is to touch as many lives as possible, making them better, and bringing joy to your corner of the world, Reginald Gladney accomplished this.
Reginald Gladney is missed deeply by his three children, close-knit family, and the entire St. Louis region where he inspired and moved too many people to count.
We got word that our friend, Reggie Gladney, passed away today. Reggie worked security at our games for 17+ years and made everyone – staff and guests alike – feel like family. Blues games will never be the same.
Our thoughts are with Reggie's family & friends at this time. pic.twitter.com/f0f9SiH0T7
— St. Louis Blues (@StLouisBlues) July 30, 2020
Honor Mission Reginald "Reggie" Gladney, Retired USA, USMC, USAF, ANG – GW/ODS, WoT Overland, Missouri – 08-07-20
St. Louis, St. Louis County courts pull back reopening amid more COVID-19 cases – STLToday.com (published Aug 10)
Reginald Gladney condolences on Facebook
Reginald Gladney obituary on Os Funeral Homes
Dan Barnidge on August 31, 2020 at 11:26 am
Jessica I read of your website in today's Post. A dear friend & coworker at the Blues games, Reggie Gladney, was mentioned in the article as one of the name on your site. What a great tribute! Thank you so much!
Jessica on August 31, 2020 at 9:09 pm
Thank you for the compliment! I only hope that I can edify people on here as much as they deserve to be. Thank you.


Imagine them without clothes, or failing that, as cabbage- heads, or even mannequins - empty-headed, that will empower you in any boardroom or public presentation. A Public Speaking Nightmare Recently, I attended a presentation by talking about a subject you are interested and knowledgeable about. "And now to speak to us on how to be a good public speaker", you think twice about how fine tuned your public speaking skills really are! curriculum vitaeAfter realizing her professional blunder due to the loud heckling from the celebrity speaker can substantially increase the audiences interest in the event. As you build up a network of peers and clients in your niche market, or in normal conversation can greatly exacerbate the problem.
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text:
@interface PodsDummy_Pods_TJKitUITests : NSObject
@end
@implementation PodsDummy_Pods_TJKitUITests
@end

redpajama_set_name: RedPajamaGithub


If you've never tried brushing your teeth with an electronic toothbrush, you should give it a try. They take some getting used to because some newcomers mention it can tickle a lot until you adjust, but in general, they clean your teeth better and remain as a great option for patients who've undergone cosmetic dentistry.
Here are five reasons why you should make the switch to an electric toothbrush as recommended by James White, your Las Vegas cosmetic dentist.
Electric brushes rotate between 7,500 to 30,000 strokes per minute, whereas adults only complete about 300 strokes per minute. These brushes allow you to remove more plaque and keep a cleaner mouth overall.
Many people do not brush for the full length of time necessary (about two to three minutes). Electric brushes have a built in timer that alerts you of when to change quadrants. With a manual brush, you may neglect a certain portion of your mouth and not even realize it.
You may brush too hard or too soft, but that's not a problem with an electric toothbrush. Never worry again about gum recession and stress, or not thoroughly cleaning your teeth. Your brush does it for you. Simply turn on your electric brush and hold it at a 45-degree angle to your gums and teeth.
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While these brushes are more expensive and require charging, they're better for the landfills than manual toothbrushes, which people usually replace every six months.
Dentists usually prefer their patients use electric toothbrushes to ensure their patients clean their teeth in the best way possible. However, there are pros and cons to each kind of brush. No matter what, everyone should brush twice a day for at least two minutes each, as well as daily flossing. With these healthy oral habits, your teeth will remain in good health between your cleanings.
James White, a Las Vegas cosmetic dentist, wants patients who've undergone cosmetic dentistry procedures to have the healthiest mouth possible. For a recommendation on a brand of electric toothbrush, contact our office or visit our website.
Should I Get an Electric Toothbrush?
Do I Have a Cracked Tooth?
How Can I Straighten My Crooked Teeth?
What Is Resorption and What Can I Do About It?
I Chipped My Tooth; What Do I Do?
Do something before you lose that tooth!


Join our community just now to flow with the file yamaha ttr 125 service repair manual 2003 download and make our shared file collection even more complete and exciting. Place the motorcycle on a flat area 2. Place a suitable support under the engine. Screws pressure plate : 6N. Lift the front wheel placing a support under the engine. Bolt camshaft gear : 60N.
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Lift the rear wheel placing a support under the engine. Lift the front wheel placing a support under the engine. Remove the seat, pulling it towards the rear of the motorcycle. Stop the engine and check the oil level again. Then, in order to check the conditions of the battery, measure the voltage at the terminals. Brake pedal free play: 20 ~ 30 mm 6. The manufacturer assumes no liability for injuri- es or damage resulting from mishandling.


text:
import datetime
import json
from abc import ABC, abstractmethod
from typing import Any, List, Mapping, Optional, TypeVar, Union

import ml_metadata
from ml_metadata.metadata_store import metadata_store
from ml_metadata.proto import metadata_store_pb2 as mlpb
from retrying import retry
"""This module contains the Python API for logging metadata of machine learning
workflows to the Kubeflow Metadata service.
"""

_WORKSPACE_PROPERTY_NAME = '__kf_workspace__'
_RUN_PROPERTY_NAME = '__kf_run__'
_ALL_META_PROPERTY_NAME = '__ALL_META__'

class Artifact(ABC):

  @property
  @classmethod
  @abstractmethod
  def ARTIFACT_TYPE_NAME(cls) -> str:
    pass

  @abstractmethod
  def serialization(self) -> mlpb.Artifact:
    pass

  @staticmethod
  def is_duplicated(a: mlpb.Artifact, b: mlpb.Artifact):
    '''Checks if two artifacts are duplicated.

    The artifacts may be considered duplication even if not all the fields are
    the same as in mlpb.Artifact. For example, two models can be considered the
    same if they have the same uri, name and version.

    Returns:
      True or False for duplication.
    '''
    return False

class Store(object):
  """Metadata Store that connects to the Metadata gRPC service."""

  def __init__(self,
               grpc_host: str = "metadata-grpc-service.kubeflow",
               grpc_port: int = 8080,
               root_certificates: Optional[bytes] = None,
               private_key: Optional[bytes] = None,
               certificate_chain: Optional[bytes] = None):
    """
    Args:
      grpc_host: Required gRPC service host, e.g."metadata-grpc-service.kubeflow".
      grpc_host: Required gRPC service port.
      root_certificates: Optional SSL certificate for secure connection.
      private_key: Optional private_key for secure connection.
      certificate_chain: Optional certificate_chain for secure connection.

    The optional parameters are the same as in grpc.ssl_channel_credentials.
    https://grpc.github.io/grpc/python/grpc.html#grpc.ssl_channel_credentials
    """
    config = mlpb.MetadataStoreClientConfig()
    config.host = grpc_host
    config.port = grpc_port
    if private_key:
      config.ssl_config.client_key = private_key
    if root_certificates:
      config.ssl_config.custom_ca = root_certificates
    if certificate_chain:
      config.ssl_config.server_cert = certificate_chain

    self.store = metadata_store.MetadataStore(config)

class Workspace(object):
  """Groups a set of runs of pipelines, notebooks and their related artifacts
  and executions.
  """
  CONTEXT_TYPE_NAME = "kubeflow.org/alpha/workspace"

  def __init__(self,
               store: Store = None,
               name: str = None,
               description: Optional[str] = None,
               labels: Optional[Mapping[str, str]] = None,
               reuse_workspace_if_exists: Optional[bool] = True,
               backend_url_prefix: Optional[str] = None):
    """
    Args:
      store: Required store object to connect to MLMD gRPC service.
      name: Required name for the workspace.
      description: Optional string for description of the workspace.
      labels: Optional key/value string pairs to label the workspace.
      reuse_workspace_if_exists: Optional boolean value to indicate whether a
        workspace of the same name should be reused.
      backend_url_prefix: Deprecated. Please use 'store' parameter.

    Raises:
      ValueError: If a workspace of the same name already exists and
      `reuse_workspace_if_exists` is set to False.
    """
    if backend_url_prefix:
      raise ValueError(
          "'backend_url_prefix' is deprecated. Please set Metadata.Store "
          "parameter to connect to the metadata gRPC service.")
    if name is None or type(name) != str:
      raise ValueError("'name' must be set and in string type.")
    if not store or type(store) != Store:
      raise ValueError("'store' must be set as metadata.Store")
    self.store = store.store
    self.name = name
    self.description = description
    self.labels = labels
    self.context_id = self._get_context_id(reuse_workspace_if_exists)

  def list(self, artifact_type_name: str = None) -> List[Artifact]:
    """List all artifacts of a given type.

    Args:
      artifact_type_name {str} name of artifact type.
      Returns a list of artifacts of the provided typed associated
      with this workspace. Each artifact is represented as a dict.

    Returns:
      A list of Artifact objects.
    """
    if artifact_type_name is None:
      artifact_type_name = Model.ARTIFACT_TYPE_NAME
    response = _retry(
        lambda: self.store.get_artifacts_by_type(artifact_type_name))
    results = []
    for artifact in response:
      flat = self._flat(artifact)
      if "workspace" in flat and flat["workspace"] == self.name:
        results.append(flat)
    return results

  def _flat(self, artifact):
    if artifact is None:
      raise ValueError("'artifact' must be set.")
    result = {
        "id": artifact.id,
    }
    if artifact.custom_properties is not None:
      if _WORKSPACE_PROPERTY_NAME in artifact.custom_properties:
        result["workspace"] = artifact.custom_properties[
            _WORKSPACE_PROPERTY_NAME].string_value
      if _RUN_PROPERTY_NAME in artifact.custom_properties:
        result["run"] = artifact.custom_properties[
            _RUN_PROPERTY_NAME].string_value
    if not artifact.properties:
      return result
    for k, v in artifact.properties.items():
      if k != _ALL_META_PROPERTY_NAME:
        if v.string_value is not None:
          result[k] = v.string_value
        elif v.int_value is not None:
          result[k] = v.int_value
        else:
          result[k] = v.double_value
    if not _ALL_META_PROPERTY_NAME in artifact.properties:
      return result
    # Pick up all nested objects stored in the __ALL_META__ field.
    all_meta = artifact.properties[_ALL_META_PROPERTY_NAME].string_value
    for k, v in json.loads(all_meta).items():
      if not k in result:
        result[k] = v
    return result

  def _get_context_id(self, reuse_workspace_if_exists):
    ctx = self._get_existing_context()
    if ctx is not None:
      if reuse_workspace_if_exists:
        return ctx.id
      else:
        raise ValueError(
            'Workspace name {} already exists with id {}. You can initialize workspace with reuse_workspace_if_exists=True if want to reuse it'
            .format(self.name, ctx.id))
    # Create new context type or get the existing type id.
    ctx_type = mlpb.ContextType(name=self.CONTEXT_TYPE_NAME,
                                properties={
                                    "description": mlpb.STRING,
                                    "labels": mlpb.STRING
                                })
    ctx_type_id = _retry(lambda: self.store.put_context_type(ctx_type))

    # Add new context for workspace.
    prop = {}
    if self.description is not None:
      prop["description"] = mlpb.Value(string_value=self.description)
    if self.labels is not None:
      prop["labels"] = mlpb.Value(string_value=json.dumps(self.labels))
    ctx = mlpb.Context(
        type_id=ctx_type_id,
        name=self.name,
        properties=prop,
    )
    ctx_id = _retry(lambda: self.store.put_contexts([ctx])[0])
    return ctx_id

  def _get_existing_context(self):
    contexts = _retry(
        lambda: self.store.get_contexts_by_type(self.CONTEXT_TYPE_NAME))
    for ctx in contexts:
      if ctx.name == self.name:
        return ctx
    return None

class Run(object):
  """Run captures a run of pipeline or notebooks in a workspace and group
  executions.
  """

  def __init__(self,
               workspace: Workspace = None,
               name: str = None,
               description: Optional[str] = None):
    """
    Args:
      workspace: Required workspace object to which this run belongs.
      name: Required name of this run.
      description: Optional description.
    """
    if workspace is None:
      raise ValueError("'workspace' must be set.")
    if name is None or type(name) != str:
      raise ValueError("'name' must be set and in string type.")
    self.workspace = workspace
    self.name = name
    self.description = description

class Execution(object):
  """Captures a run of pipeline or notebooks in a workspace and group executions.

  Execution also serves as object for logging artifacts as its input or output.
  """
  EXECUTION_TYPE_NAME = "kubeflow.org/alpha/execution"

  def __init__(self,
               name: str = None,
               workspace: Workspace = None,
               run: Optional[Run] = None,
               description: Optional[str] = None):
    """
    Args:
      name: Required name of this run.
      workspace: Required workspace object where this execution belongs to.
      run: Optional run object.
      description: Optional description.

    Creates a new execution in a workspace and run.
    The execution.log_XXX() methods will attach corresponding artifacts as the
    input or output of this execution.
    """
    if workspace is None:
      raise ValueError("'workspace' must be set.")
    if name is None or type(name) != str:
      raise ValueError("'name' must be set and in string type.")
    self.id = None
    self.name = name
    self.workspace = workspace
    self.run = run
    self.description = description
    self.create_time = _get_rfc3339_time()
    self._type_id = _retry(lambda: self.workspace.store.get_execution_type(
        Execution.EXECUTION_TYPE_NAME).id)
    self.id = _retry(
        lambda: self.workspace.store.put_executions([self.serialized()])[0])
    _retry(lambda: self.workspace.store.put_attributions_and_associations([], [
        mlpb.Association(context_id=self.workspace.context_id,
                         execution_id=self.id)
    ]))

  def __repr__(self):
    field_names = self.__dict__.keys()
    fields_str = ", ".join(
        "{}={!r}".format(name, getattr(self, name)) for name in field_names)
    return "{0.__class__.__module__}.{0.__class__.__qualname__}({1})".format(
        self, fields_str)

  def serialized(self):
    properties = {
        "name": mlpb.Value(string_value=self.name),
        "create_time": mlpb.Value(string_value=self.create_time),
        "description": mlpb.Value(string_value=self.description),
    }
    _del_none_properties(properties)

    custom_properties = {}
    if self.workspace is not None:
      custom_properties[_WORKSPACE_PROPERTY_NAME] = mlpb.Value(
          string_value=self.workspace.name)
    if self.run is not None:
      custom_properties[_RUN_PROPERTY_NAME] = mlpb.Value(
          string_value=self.run.name)
    return mlpb.Execution(type_id=self._type_id,
                          properties=properties,
                          custom_properties=custom_properties)

  def log_input(self, artifact: Artifact) -> Artifact:
    """ Log an artifact as an input of this execution.

    Args:
      artifact: Model, DataSet, Metrics or customized artifact type.

    Returns:
      The same artifact with artifact.id set.
    """
    if artifact is None:
      raise ValueError("'artifact' must be set.")
    self._log(artifact)
    input_event = mlpb.Event(artifact_id=artifact.id,
                             execution_id=self.id,
                             type=mlpb.Event.INPUT)
    _retry(lambda: self.workspace.store.put_events([input_event]))
    return artifact

  def log_output(self, artifact: Artifact) -> Artifact:
    """ Log an artifact as an input of this execution.

    Args:
      artifact: Model, DataSet, Metrics or customized artifact type.

    Returns:
      The same artifact with artifact.id set.
    """
    if artifact is None:
      raise ValueError("'artifact' must be set.")
    self._log(artifact)
    output_event = mlpb.Event(artifact_id=artifact.id,
                              execution_id=self.id,
                              type=mlpb.Event.OUTPUT)
    _retry(lambda: self.workspace.store.put_events([output_event]))
    return artifact

  def _log(self, artifact):
    """Log artifact into metadata store."""
    # Sanity checks for artifact.
    if artifact is None:
      raise ValueError("'artifact' must be set.")
    try:
      type_id = _retry(lambda: self.workspace.store.get_artifact_type(
          artifact.ARTIFACT_TYPE_NAME).id)
    except Exception as e:
      raise ValueError("invalid artifact type %s: exception %s",
                       artifact.ARTIFACT_TYPE_NAME, e)

    # if id is set, then this artifact is already saved in database.
    if artifact.id is not None:
      self._check_artifact_id(artifact.id)
      return artifact

    # Construct a new artifact serialization.
    ser = artifact.serialization()
    ser.type_id = type_id
    if _WORKSPACE_PROPERTY_NAME in ser.custom_properties:
      raise ValueError("custom_properties contains reserved key %s" %
                       _WORKSPACE_PROPERTY_NAME)
    if _RUN_PROPERTY_NAME in ser.custom_properties:
      raise ValueError("custom_properties contains reserved key %s" %
                       _RUN_PROPERTY_NAME)
    if self.workspace is not None:
      ser.custom_properties[
          _WORKSPACE_PROPERTY_NAME].string_value = self.workspace.name
    if self.run is not None:
      ser.custom_properties[_RUN_PROPERTY_NAME].string_value = self.run.name

    # Deduplicate artifact for existing one in the database.
    pbs = _retry(
        lambda: self.workspace.store.get_artifacts_by_uri(artifact.uri))
    for pb in pbs:
      if artifact.is_duplicated(ser, pb):
        artifact.id = pb.id
        return artifact

    artifact.id = _retry(lambda: self.workspace.store.put_artifacts([ser])[0])
    _retry(lambda: self.workspace.store.put_attributions_and_associations([
        mlpb.Attribution(context_id=self.workspace.context_id,
                         artifact_id=artifact.id)
    ], []))
    return artifact

  def _check_artifact_id(self, aid):
    try:
      pbs = _retry(lambda: self.workspace.store.get_artifacts_by_id([aid]))
    except Exception as e:
      raise ValueError("invalid artifact id {}: {}".format(aid, e))
    if len(pbs) != 1:
      raise ValueError(
          "invalid artifact id {}: artifacts with this id: {}".format(aid, pbs))

class DataSet(Artifact):
  """ Dataset captures a data set in a machine learning workflow.

  Attributes:

    uri: Required uri of the data set.
    name: Required name of the data set.
    workspace: Optional name of the workspace.
    description: Optional description of the data set.
    owner: Optional owner of the data set.
    version: Optional version tagged by the user.
    query: Optional query string on how this data set being fetched from a data
      source.
    labels: Optional string key value pairs for labels.

  Example:
      >>> metadata.DataSet(description="an example data",
      ...                  name="mytable-dump",
      ...                  owner="owner@my-company.org",
      ...                  uri="file://path/to/dataset",
      ...                  version="v1.0.0",
      ...                  query="SELECT * FROM mytable",
      ...                  labels={"label1","val1"}))
  """
  ARTIFACT_TYPE_NAME = "kubeflow.org/alpha/data_set"

  def __init__(self,
               uri: str = None,
               name: str = None,
               workspace: Optional[str] = None,
               description: Optional[str] = None,
               owner: Optional[str] = None,
               version: Optional[str] = None,
               query: Optional[str] = None,
               labels: Optional[Mapping[str, str]] = None,
               **kwargs):
    """
    Args:
      uri: Required uri of the data set.
      name: Required name of the data set.
      workspace: Optional name of the workspace.
      description: Optional description of the data set.
      owner: Optional owner of the data set.
      version: Optional version tagged by the user.
      query: Optional query string on how this data set being fetched from
        a data source.
      labels: Optional string key value pairs for labels.
      kwargs: Optional additional keyword arguments are saved as additional
        properties of this dataset.
    """
    if uri is None or type(uri) != str:
      raise ValueError("'uri' must be set and in string type.")
    if name is None or type(name) != str:
      raise ValueError("'name' must be set and in string type.")
    self.workspace = workspace
    self.name = name
    self.description = description
    self.owner = owner
    self.uri = uri
    self.version = version
    self.query = query
    self.labels = labels
    self.id = None
    self.create_time = _get_rfc3339_time()
    self.kwargs = kwargs

  def __repr__(self):
    field_names = self.__dict__.keys()
    fields_str = ", ".join(
        "{}={!r}".format(name, getattr(self, name)) for name in field_names)
    return "{0.__class__.__module__}.{0.__class__.__qualname__}({1})".format(
        self, fields_str)

  def serialization(self):
    data_set_artifact = mlpb.Artifact(
        uri=self.uri,
        properties={
            "name":
                mlpb.Value(string_value=self.name),
            "create_time":
                mlpb.Value(string_value=self.create_time),
            "description":
                mlpb.Value(string_value=self.description),
            "query":
                mlpb.Value(string_value=self.query),
            "version":
                mlpb.Value(string_value=self.version),
            "owner":
                mlpb.Value(string_value=self.owner),
            _ALL_META_PROPERTY_NAME:
                mlpb.Value(string_value=json.dumps(self.__dict__)),
        })
    _del_none_properties(data_set_artifact.properties)
    return data_set_artifact

  @staticmethod
  def is_duplicated(a, b):
    ap = a.properties
    bp = b.properties
    aws = a.custom_properties.get(_WORKSPACE_PROPERTY_NAME)
    bws = b.custom_properties.get(_WORKSPACE_PROPERTY_NAME)
    return a.type_id == b.type_id and a.uri == b.uri and ap.get(
        "name") == bp.get("name") and ap.get("version") == bp.get(
            "version") and aws == bws

class Model(Artifact):
  """Captures a machine learning model.

  Attributes:
      uri: Required uri of the model artifact, e.g. "gcs://path/to/model.h5".
      name: Required name of the model.
      workspace: Optional name of the workspace.
      description: Optional description of the model.
      owner: Optional owner of the model.
      model_type: Optional type of the model.
      training_framework: Optional framework used to train the model.
      hyperparameters: Optional map from hyper param name to its value.
      labels: Optional string key value pairs for labels.
      kwargs: Optional additional keyword arguments are saved as additional
        properties of this model.

  Example:
      >>> metadata.Model(name="MNIST",
      ...                description="model to recognize handwritten digits",
      ...                owner="someone@kubeflow.org",
      ...                uri="gcs://my-bucket/mnist",
      ...                model_type="neural network",
      ...                training_framework={
      ...                   "name": "tensorflow",
      ...                   "version": "v1.0"
      ...                },
      ...                hyperparameters={
      ...                   "learning_rate": 0.5,
      ...                   "layers": [10, 3, 1],
      ...                   "early_stop": True
      ...                },
      ...                version="v0.0.1",
      ...                labels={"mylabel": "l1"}))
  """

  ARTIFACT_TYPE_NAME = "kubeflow.org/alpha/model"

  def __init__(self,
               uri: str = None,
               name: str = None,
               workspace: Optional[str] = None,
               description: Optional[str] = None,
               owner: Optional[str] = None,
               version: Optional[str] = None,
               model_type: Optional[str] = None,
               training_framework: Optional[Any] = None,
               hyperparameters: Optional[Mapping[str, float]] = None,
               labels: Optional[Mapping[str, str]] = None,
               **kwargs):
    """
    Args:
      uri: Required uri of the metrics.
      name: Required name of the metrics.
      workspace: Optional name of the workspace.
      description: Optional description of the metrics.
      owner: Optional owner of the metrics.
      model_type: Optional type of the model.
      training_framework: Optional framework used to train the model.
      hyperparameters: Optional map from hyper param name to its value.
      labels: Optional string key value pairs for labels.
      kwargs: Optional additional keyword arguments are saved as additional
        properties of this model.
    """
    if uri is None or type(uri) != str:
      raise ValueError("'uri' must be set and in string type.")
    if name is None or type(name) != str:
      raise ValueError("'name' must be set and in string type.")
    self.workspace = workspace
    self.name = name
    self.description = description
    self.owner = owner
    self.uri = uri
    self.version = version
    self.model_type = model_type
    self.training_framework = training_framework
    self.hyperparameters = hyperparameters
    self.labels = labels
    self.id = None
    self.create_time = _get_rfc3339_time()
    self.kwargs = kwargs

  def __repr__(self):
    field_names = self.__dict__.keys()
    fields_str = ", ".join(
        "{}={!r}".format(name, getattr(self, name)) for name in field_names)
    return "{0.__class__.__module__}.{0.__class__.__qualname__}({1})".format(
        self, fields_str)

  def serialization(self):
    model_artifact = mlpb.Artifact(
        uri=self.uri,
        properties={
            "name":
                mlpb.Value(string_value=self.name),
            "create_time":
                mlpb.Value(string_value=self.create_time),
            "description":
                mlpb.Value(string_value=self.description),
            "model_type":
                mlpb.Value(string_value=self.model_type),
            "version":
                mlpb.Value(string_value=self.version),
            "owner":
                mlpb.Value(string_value=self.owner),
            _ALL_META_PROPERTY_NAME:
                mlpb.Value(string_value=json.dumps(self.__dict__)),
        })
    _del_none_properties(model_artifact.properties)
    return model_artifact

  @staticmethod
  def is_duplicated(a, b):
    ap = a.properties
    bp = b.properties
    aws = a.custom_properties.get(_WORKSPACE_PROPERTY_NAME)
    bws = b.custom_properties.get(_WORKSPACE_PROPERTY_NAME)
    return a.type_id == b.type_id and a.uri == b.uri and ap.get(
        "name") == bp.get("name") and ap.get("version") == bp.get(
            "version") and aws == bws

class Metrics(Artifact):
  """Captures an evaluation metrics of a model on a data set.

  Attributes:
    uri: Required uri of the metrics.
    name: Required name of the metrics.
    workspace: Optional name of the workspace.
    description: Optional description of the metrics.
    owner: Optional owner of the metrics.
    data_set_id: Optional id of the data set used for evaluation.
    model_id: Optional id of a evaluated model.
    metrics_type: Optional type of the evaluation.
    values: Optional map from metrics name to its value.
    labels: Optional string key value pairs for labels.

  Example:
    >>> metadata.Metrics(
    ...        name="MNIST-evaluation",
    ...        description=
    ...        "validating the MNIST model to recognize handwritten digits",
    ...        owner="someone@kubeflow.org",
    ...        uri="gcs://my-bucket/mnist-eval.csv",
    ...        data_set_id="123",
    ...        model_id="12345",
    ...        metrics_type=metadata.Metrics.VALIDATION,
    ...        values={"accuracy": 0.95},
    ...        labels={"mylabel": "l1"}))
  """

  ARTIFACT_TYPE_NAME = "kubeflow.org/alpha/metrics"

  # Possible evaluation metrics types.
  TRAINING = "training"
  VALIDATION = "validation"
  TESTING = "testing"
  PRODUCTION = "production"

  def __init__(self,
               uri: str = None,
               name: str = None,
               workspace: Optional[str] = None,
               description: Optional[str] = None,
               owner: Optional[str] = None,
               data_set_id: Optional[str] = None,
               model_id: Optional[str] = None,
               metrics_type: Optional[str] = None,
               values: Optional[Mapping[str, float]] = None,
               labels: Optional[Mapping[str, str]] = None,
               **kwargs):
    """
    Args:
      uri: Required uri of the metrics.
      name: Required name of the metrics.
      workspace: Optional name of the workspace.
      description: Optional description of the metrics.
      owner: Optional owner of the metrics.
      data_set_id: Optional id of the data set used for evaluation.
      model_id: Optional id of a evaluated model.
      metrics_type: Optional type of the evaluation.
      values: Optional map from metrics name to its value.
      labels: Optional string key value pairs for labels.
      kwargs: additional keyword arguments are saved as additional properties
        of this metrics.
    """
    if uri is None or type(uri) != str:
      raise ValueError("'uri' must be set and in string type.")
    if name is None or type(name) != str:
      raise ValueError("'name' must be set and in string type.")
    self.workspace = workspace
    self.name = name
    self.description = description
    self.owner = owner
    self.uri = uri
    self.data_set_id = data_set_id
    self.model_id = model_id
    self.metrics_type = metrics_type
    self.values = values
    self.labels = labels
    self.id = None
    self.create_time = _get_rfc3339_time()
    self.kwargs = kwargs

  def __repr__(self):
    field_names = self.__dict__.keys()
    fields_str = ", ".join(
        "{}={!r}".format(name, getattr(self, name)) for name in field_names)
    return "{0.__class__.__module__}.{0.__class__.__qualname__}({1})".format(
        self, fields_str)

  def serialization(self):
    metrics_artifact = mlpb.Artifact(
        uri=self.uri,
        properties={
            "name":
                mlpb.Value(string_value=self.name),
            "create_time":
                mlpb.Value(string_value=self.create_time),
            "description":
                mlpb.Value(string_value=self.description),
            "metrics_type":
                mlpb.Value(string_value=self.metrics_type),
            "data_set_id":
                mlpb.Value(string_value=self.data_set_id),
            "model_id":
                mlpb.Value(string_value=self.model_id),
            "owner":
                mlpb.Value(string_value=self.owner),
            _ALL_META_PROPERTY_NAME:
                mlpb.Value(string_value=json.dumps(self.__dict__)),
        })
    _del_none_properties(metrics_artifact.properties)
    return metrics_artifact

@retry(wait_exponential_multiplier=500, stop_max_delay=4000)
def _retry(f):
  '''retry function f with exponential backoff'''
  return f()

def _get_rfc3339_time():
  return datetime.datetime.utcnow().isoformat("T") + "Z"

def _del_none_properties(dict):
  keys = list(dict.keys())
  for k in keys:
    if not any((dict[k].string_value, dict[k].int_value, dict[k].double_value)):
      del dict[k]


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This weekend, Borough Market will be transformed into a hive of activity, themed around bees, beekeeping and, of course, honey. To mark the occasion, and the arrival of spring—and their inspired decision to feature produce from different traders in their gelatos—3BIS Gelateria has got stuck in, teaming up with From Field and Flower to enrich their custard gelato with chestnut honey and pollen from these bee devotees.
"The softness of the custard and the strong taste of the chestnut honey is a brilliant combo," says Eleanora, and the gelato confirms it: aromatic, light as a petal yet dense as a honeycomb, with the custard less a vehicle for the honey and more a shy dance partner. It's there, creamy and cool and nostalgically comforting, but the honey is clearly leading.
Then there's the pollen—"the crunch of the pollen," says Eleonora, which finishes off the ice cream like a scattering of pistachio nuts might an Ottolenghi salad. They add texture—a subtle crispiness not unlike cocoa nibs—but it's the colour that is so startling: a bold highlighter yellow that dazzles and, as it melts, runs like a late Turner into the custardy, chestnut honey mix.
The pollen packs more of a punch than you'd expect: sharp, bright, slightly savoury, they are the oboes to the honeyed base notes of sweet, docile smoothness. He may have been a silly old bear, but Winnie the Pooh knew what he was about when he noted that, "although eating honey was a very good thing to do, there is a moment just before you begin to eat it which was better"—the very foundation of Friday feeling.