Teaching Consent through Modeling and Skill BuildingYTH
There are few examples in the world of what consent actually looks like in real life, and all too often sexuality education falls short of actually teaching young people how to practice consent in real life. Planned Parenthood Federation of America will present a series of four fun, sexy, and educational videos that explain and model consent in different scenarios, with a diverse range of people and identities. Videos will be screened with time for Q&A, and supplemental lesson plans provided for community educators.
Process evaluation of a youth-focused mHealth toolYTH
In 2013, the New York City Department of Health and Mental Hygiene launched a mobile app to help NYC youth identify and access sexual and reproductive health information and services such as contraception, pregnancy testing, and STI screening. Two years later, we have learned significant lessons about the strengths and limitations of mobile app monitoring and evaluation activities, as well as applications of mHealth user data for health programs. This presentation pays special attention to describing the information programs can gather via an mHealth tool, the strengths and limitations of this data, and how to leverage findings into actionable changes to mHealth tools and health programming.
Teaching Consent through Modeling and Skill BuildingYTH
There are few examples in the world of what consent actually looks like in real life, and all too often sexuality education falls short of actually teaching young people how to practice consent in real life. Planned Parenthood Federation of America will present a series of four fun, sexy, and educational videos that explain and model consent in different scenarios, with a diverse range of people and identities. Videos will be screened with time for Q&A, and supplemental lesson plans provided for community educators.
Process evaluation of a youth-focused mHealth toolYTH
In 2013, the New York City Department of Health and Mental Hygiene launched a mobile app to help NYC youth identify and access sexual and reproductive health information and services such as contraception, pregnancy testing, and STI screening. Two years later, we have learned significant lessons about the strengths and limitations of mobile app monitoring and evaluation activities, as well as applications of mHealth user data for health programs. This presentation pays special attention to describing the information programs can gather via an mHealth tool, the strengths and limitations of this data, and how to leverage findings into actionable changes to mHealth tools and health programming.
Paisajes Sonoros de Inspiración para nuevas experiencias de Audios para clases de Portugués u otras Lenguas Extranjeras
Radios Socioeducativas del INFD
Amazon QuickSight is a fast BI service that makes it easy for you to build visualizations, perform ad-hoc analysis, and quickly get business insights from your data. QuickSight is built to harness the power and scalability of the cloud, so you can easily run analysis on large datasets, and support hundreds of thousands of users. In this session, we’ll demonstrate how you can easily get started with Amazon QuickSight, uploading files, connecting to S3 and Redshift and creating analyses from visualizations that are optimized based on the underlying data. Once we’ve built our analysis and dashboard, we’ll show you easy it is to share it with colleagues and stakeholders in just a few seconds. And with SPICE – QuickSight’s in-memory calculation engine – you can go from data to insights, faster than ever.
Paisajes Sonoros de Inspiración para nuevas experiencias de Audios para clases de Portugués u otras Lenguas Extranjeras
Radios Socioeducativas del INFD
Amazon QuickSight is a fast BI service that makes it easy for you to build visualizations, perform ad-hoc analysis, and quickly get business insights from your data. QuickSight is built to harness the power and scalability of the cloud, so you can easily run analysis on large datasets, and support hundreds of thousands of users. In this session, we’ll demonstrate how you can easily get started with Amazon QuickSight, uploading files, connecting to S3 and Redshift and creating analyses from visualizations that are optimized based on the underlying data. Once we’ve built our analysis and dashboard, we’ll show you easy it is to share it with colleagues and stakeholders in just a few seconds. And with SPICE – QuickSight’s in-memory calculation engine – you can go from data to insights, faster than ever.
3. Dünyada en uzun yaşayan insan 205
yıl yaşamıştır.
Dünyada en uzun ya ayan insan.ş
4. Bir hamamböceği kafası koptuktan sonra
açlıktan ölmeden 9 gün yaşayabiliyor.
Atlar 1 ay kadar yorulmadan ayakta
kalabilirler.
Azrail her gün bir insanın yüzüne 7 defa
bakar.
Beşiktaş kulübünün kuruluşundaki Kırmızı-
Beyaz renkleri, Balkan savaşındaki
mağlubiyetten sonra Siyah-Beyaz olarak
değiştirildi.
5. Hayvanlar hakkındaki bilmediklerimiz
Baykuş mavi görebilen tek kuştur.
Deniz yıldızları midelerini dışarı çıkarabilir.
Timsahlar dilini dışarıya çıkaramaz.
Develerin 3 kaşı vardır.
Bir deve kuşunun gözü beyninden büyüktür.
Bir filin ömrü yaklaşık 70-80 yıldır.
Bir ıstakoz 7 senede ancak yarım kilol alabilir.
