Meteor was restrictive and opinionated in the beginning. MDG was ambitious about how comprehensive they wanted Meteor to be and were successful at providing quick project setup, sockets out of the box, and easy mobile development for iOS and Android before Nativescript was around.
As other frameworks like React came on the scene, many developers jumped ship and left Atmosphere packages unmaintained. It felt somewhat backward and out of touch with the Javascript community. After dropping the Meteor repository Atmosphere in favor of npm, opening up to other databases than MongoDB, and adding integrations for Angular, React and Vue in lieu of Blaze, it felt reintegrated. Now it's mostly stable and configurable.
Hopefully the Tiny team can continue in this direction by bringing Meteor up to date with the current versions of node and Mongo, continuing to support the front end rendering libraries to integrate with their respective communities and improving Typescript support.
All new residential construction is required to meet International Residential Code energy efficiency provisions. The State Energy Conservation Office provides funding opportunities to support efficiency programs and loans for public institution retrofitting projects. There are many programs requiring, subsidizing, and incentivizing energy efficiency: https://programs.dsireusa.org/system/program
Most research has focused on α-tocopherol, which is thought to displace
γ-Tocopherol. In a 2000 study of the relationship between α-tocopherol, γ-tocopherol, selenium, and prostate cancer, men in the highest fifth of the distribution for γ-tocopherol were five time less likely to develop prostate cancer than men in the lowest fifth. [1]
"Recent epidemiological and preclinical studies have indicated that γ- and δ-tocopherols may be more effective because they are more efficient traps for reactive oxygen and nitrogen species." [2]
>The gender equality paradox is like a religion to you people.
Lumping everyone who mentions it together and othering them does not seem constructive.
>Women aren't just "less interested" in sofware at the scale we see in that study, they're outnumbered by literally a whole order of magnitude.
How can you be sure? Men are on average more interested in working with things, and women are on average more interested in working with people [1]. "...non-biology STEM majors showed lower [people-orientation] and higher [thing-orientation] interests than biology and health majors."[2] Self-efficacy and competence beliefs tend to be a factor that keep women away from tech [3]. The Gender Equality Paradox also mentions competency as a factor.
I'm not sure how Stanford's economic disparity supports that there are no programs to assist people who are economically disadvantaged. Harvard, Stanford, and Yale offer free tuition for students with family income below 65,000 a year, Princeton for below 54,000, and Cornell, Brown, Columbia and Duke for families with income below 60,000.
There's no data in the article about the income level of the students applying. Are there 15 times as many wealthy applicants? Disparity is often contextualized in terms of systems of oppression and discrimination. Individual behavior, influenced by the effect being poor has psychologically, is likely to contribute to the difference in economic diversity.
I have applied for women's scholarships but not without feeling guilty. Why do I get a chance at something while as many eager men in need of financial assistance or technical mentorship do not?
I am appreciative of every opportunity I have been given and will continue to take advantage of any opportunity afforded to me, even if it is on the base of my gender. If an investor wants to help a certain group of people, I will value that they are providing opportunities even though I may disagree with the idea of providing opportunities based on immutable characteristics.
Decisio Health has created real time dashboards that identify sepsis early so that care teams can start treatment protocols and monitor what has been done when a new shift comes on.
It seems like something like that would be helpful for birthing. Midwives and doctors rely on their knowledge of past births and patients' health to make decisions during the birth. There's room for bias and error.
If they could have access to more data about similar patients and outcomes as well as real time information about the patient, maybe the software could predict or confirm a decision about which high risk patients were going to need to be transferred to a hospital earlier into a birth. Hopefully it would prevent unnecessary cesareans for women they can confirm are progressing fine.
Remote: Yes
Willing to relocate: Maybe
Technologies: Python, Django, Javascript, Vue.js, Node.js, Express.js, Sails.js, RabbitMQ, Docker, Linux, PostgreSQL, MongoDB, MySQL, NGINX, Wireguard
Résumé/CV: On request
Email: imn4jmMs3HZ6NClZnRPvguQ8BS3X4z6ttcCnOh8E at protonmail.com
Self-taught developer, programming professionally since 2014. Interested in front end, back end and full stack positions.