#dscience

[rigelmejo]

4/7/2025 Chinese listening experiment 238 hours

I won't be doing any big updates until 300 hours. You'll know it when you see it, what I mean by big

currently listening to/watching:

Peppa Pig (unfortunately. I think it's just really good practice for 'how to say this basic thing' and the images help me remember words)

The Day of Becoming You cdrama (I'm in a Steven Zhang kick, and iqiyi dramas are probably the best for easily finding a version you can turn ALL subtitles off for)

Learn Mandarin in Mandarin with Huimin (relistening to episodes 3 times in a row, I'm trying to learn conceptual words from podcasts about how the fuck to express opinions)

BuMingBai podcast (hard, I do not understand enough, yet I keep trying to)

DScience podcast (medium-hard, I understand chunks of this podcast, but never a full episode)

Nividia Supernatural and True Crime podcasts (medium-hard, I understand chunks of the stories they tell, but don't quite understand full stories)

Audiobooks of things I've read before: Twilight Saga, Daomubiji 1 (these are the bulk of my listening)

Audiobooks of brand new things i've never read: some novels like SCI Mystery by ErYa, Some novels like SaYe by Wuzhe, Chronicles of Narnia audiobooks (these are only maybe 30 minutes to 1 hour a day)

Astro Boy Mandarin dub, when I'm feeling like a cartoon

My strategy has been to relisten up to 3 times to anything that seems too hard, and sometimes I will understand the main idea by 3 listens. Sometimes I won't understand the main idea even then, and I'll save the material for later. So this is what I've been doing with podcasts.

Anything I understand the main idea of, but feel like I could maybe understand the details too given some more time, I'll repeat 2-3 times. I usually understand more details on the repeated listens.

Whenever I'm particularly tired, I pick something I easily understand the main idea of, such as an audiobook I've read before (Twilight lately), because I am sure I'm learning something even if I don't focus fully and only listen once.

I feel I remember words better that I have seen in audio-visual contexts, like shows and cartoons. So I am trying to get at least a little audio-visual input most days. But these materials are the hardest to make time for.

Shows I've been considering watching:

Goodbye My Princess (I've been wanting to rewatch)

Young Blood (for Steven Zhang and because I heard it's good)

The Bond (Bai Yu is in it, also it's very realistic life)

Go Ahead (I started this, would like to continue, also yes Steven Zhang)

Justice in the Dark (pretty much a GIVEN that I'm going to be watching this in chinese only until english subs come out)

Word of Honor (considering rewatching, would be nice to see visuals when hearing wuxia type words)

The Day of Becoming You (I will continue watching, it's great since I can turn off chinese subtitles)

Ice Fantasy (I've been considering rewatching, I loved this drama)

Humans cdrama (Ma Tianyu is in this, I already watched half of it in chinese only before as it never got english subtitles)

The Secret of the Three Kingdoms (I watched half of it with english subs, it would be nice to rewatch and finish)

[zaez-science]

This mice may not look like anything special. But the sperm that formed them spent three to six years In International Space Station. It is the longest biological experiment on the ISS yet. Exposure to space radiation didn't seem to harm the sperm's DNA or the cells to ability to produce healthy "space pups." After Returning the freeze-dried sperm cells to earth, rehydrating them and injection them into fresh mouse eggs, researchers transferred those embryos to female mice. About 240 healthy space pups were born from sperm kept on the ISS for nearly three years; about 170 other were born from sperm kept on the space station for nearly six years. Genetic analysis reveled no difference between these space pups and mice born from sperm stored on the ground. That may be good news for future spacefarers. Scientists have worried that cronic exposure to space radiation might not only put astronauts at risk for cancer and other diseases, but also create mutation in the DNA that could be passed down to future generations. The New result hint that deep-space travelers could safely bear Children. Source:-(science News ) ________________________________________ FOLLOW @ZAEZ_SCIENCE FOR RECENT SCIENCE NEWS. @zaez_science @zaez_science @zaez_science ___________________________________________ Hastages:-#sciencefacts #ascience #dscience #fsciences #scienceexperiment #scienceexperiments #scienceexperimentsforkids #scienceexperimentforkids #scienceexperimentsunday #scienceexperimentbaby #internationalspacestation (at International Space Station) https://www.instagram.com/p/CQQxY1Bl1Dy/?utm_medium=tumblr

[phdpositionsdk]

PhD Research Fellow in Distributed Machine Learning for Data and Computation-intensive Tasks

PhD Research Fellow in Distributed Machine Learning for Data and Computation-intensive Tasks About the position Position as PhD Research Fellow in Distributed Machine Learning for Data and Computation-intensive Tasks available at Department of Informatics, University of Oslo, Norway. The PhD position is a part of the machine learning program at dScience – Center for Computational and Data…

[jakeandjossyl]

Monday Muse: Emelina Spinelli

Monday Muse: Emelina Spinelli

Emelina Spinelli is a creator, entrepreneur, marketer, bad-ass business chic, and wanderlustin’ babe. She grew her IG following from 500 to 5,000 in three months – without buying her followers. If you’re looking for Instagram consulting, Emelina is your girl.

With a genuine love for Instagram Emelina uses the community to help brands gain exposure, launch influencer campaigns, connect with their…

[hakkindatv]

D.Science | Insan Bedeni: Kusursuz Makine | HAKKINDA.TV

HEMEN İZLE

Video Süresi : 44:09 / D.Science | Insan Bedeni: Kusursuz Makine : Vücudumuzu, o günlük görevlerini yerine getirirken sorgulamadan olduğu gibi kabul ederiz. Ama baskı altında olağan dışı şeyler yapabilirler. Bu karmaşık makine milyonlarca yıl boyunca türlü değişiklikler...

#Belgeseller #Bedeni, #Dscience, #Insan, #Kusursuz, #Makine

[heartbeat-box-blog]

HeartBeat-Box

Brian Halaburka

Chinmay Nivargi

Spencer King

d.school, Stanford University

    HeartBeat-Box was a four week project, where the Design School at Stanford partnered with the San Jose Tech Museum of Innovation to try and come up with a new exhibit idea. In the human-centric spirit of the design school, initial design research involved visits to the museum on multiple occasions to try and understand the users and what they wanted. The weekdays at the museum see a lot of elementary school students coming in as a group with their chaperones, but the weekends see a lot of parents who come in with their family.

Interaction with all these user groups revealed that even though parents believe that the museum is catered towards 8-14 year olds, they would still bring their 3 to 5 year old children. This was surprising and a deeper dive and interviews with parents with young children (age <6) who visit the Tech Museum revealed their motivations for bringing young children to the museum. First, parents with young children came because the museum offers a space to interact with their child without distractions. While many of the activities they do at the museum could be done at home, they don’t do them because parents are distracted by other things such as writing emails, cooking dinner, cleaning, or calling a friend. At the Tech museum, their only responsibility was to interact with their child. Second, parents who visited the Tech Museum with young children wanted their children to get excited about science. They didn’t need their children to learn from the exhibits, they brought them in the hopes that they will gain a sense of curiosity about science. In particular, one visitor was a high school science teacher who was at the museum with her 3 year-old daughter. She valued science, and felt that having a strong background in science leads to successful career later on in life. She brought her child to the museum hoping she would be interested in science and pursue a scientific or technology related career later in life.

In addition, The Tech Museum for Innovation is committed to create a space where the visitor may create their own experience in the museum. This is the Museum 3.0 project, where the visitor is allowed to create hypotheses, “hack” the museum environment, and collect data on themselves and other visitors to support their hypotheses. The solution also needed to incorporate sensors for data collection to educate visitors to explore the quantified self movement.

The solution incorporating these design elements is HeartBeat-Box – an interactive exhibit where visitors – specifically parents and children wear heart rate sensors and get visual and aural feedback as well as data about how their physiology and heart responds to external stimuli. An initial prototype included a simple game using an Arduino (www.arduino.cc) and a Pulse Sensor (www.pulsesensor.com), connected to a computer, where the objective was to try and control heart rate and sync up numerous visitor heart rates to line-up the hearts representing them perfectly to each other to a crosshair. Each heartbeat was also synced to a musical instrument and this led to another dimension of creating music using a different kind of input device.

This led to a lot of engagement and interesting conversations between children and their parents about their heartbeat and ways to control it. Visitors were not aware of being able to manipulate heart rate – they believed they could raise it, but not actively lower it. The most popular exhibits in the museum promoted engagement through personal input, since it makes the exhibit and phenomenon more relatable. This definitely was the case with prototype testing – seeing one’s own heartbeat reflected in the exhibit was exciting.

In a broader context, such a tool could be used as part of a bigger exhibit, or whole museum rooms with stimuli designed to elevate or soothe heart rates to educate people about their hearts and breathing. Further gamification would involve manipulating others behaviors – trying to scare or surprise each other and observe effects of loud sound, video and bright lights on physiology. Rooms in the museum where people can play with these aspects would serve as learning environments while simultaneously entertaining visitors. Other sensors that incorporate breathing rate and temperature can help study interaction between the different senses and organs while interacting with the exhibit. Collecting data about responses to these stimuli and then learning patterns and displaying them would get people curious about their physiology in relation to others as well. These would definitely be steps towards Museum 3.0.

[melissarohde]

NASA LandSAT | Open Data | Melissa Rohde

Get satellite images from the entire earth from as early as the 1970s!

http://earthexplorer.usgs.gov/

[phdpositionsdk]

PhD Research Fellowship in semi-supervised deep learning

PhD Research Fellowship in semi-supervised deep learning

PhD Research Fellowship in semi-supervised deep learning About the position One position as PhD Research Fellow in semi-supervised deep learning is available at dScience – Centre for Computational and Data Science, University of Oslo. The PhD position is a part of their machine learning program, see https://www.uio.no/dscience/  The position is located at the Digital Signal Processing and Image…

[phdpositionsdk]

PhD Research Fellowship in Bayesian Machine Learning for Nuclear Astrophysics

PhD Research Fellowship in Bayesian Machine Learning for Nuclear Astrophysics

PhD Research Fellowship in Bayesian Machine Learning for Nuclear Astrophysics About the position A position as PhD Research Fellow in Bayesian Machine Learning for Nuclear Astrophysics is available at the Department of Physics, University of Oslo. The PhD position is a part of the machine learning program at dScience – Center for Computational and Data Science at the University of Oslo, see…

[phdpositionsdk]

PhD Research Fellow in Statistics and Machine Learning

PhD Research Fellow in Statistics and Machine Learning

PhD Research Fellow in Statistics and Machine Learning About the position Position as PhD Research Fellow in statistics available at the Department of Mathematics. The PhD position is a part of the machine learning program at dScience – Center for Computational and Data Science at the University of Oslo, see https://www.uio.no/dscience/. The research topic is online anomaly detection in…

[phdpositionsdk]

PhD Research Fellow in Natural Language Processing

PhD Research Fellow in Natural Language Processing

PhD Research Fellow in Natural Language Processing About the position Position as PhD Research Fellow in Natural Language Processing available at the Language Technology Group (LTG) at the Department of Informatics, University of Oslo (UiO), Norway. The PhD position is a part of the machine learning program at dScience – Center for Computational and Data Science at the University of Oslo, see…

[phdpositionsdk]

PhD Research Fellow in Mathematics of Information

PhD Research Fellow in Mathematics of Information

PhD Research Fellow in Mathematics of Information About the position Position as PhD Research Fellow in Mathematics of Information available at the Department of Mathematics. The PhD position is a part of the machine learning program at dScience – Center for Computational and Data Science at the University of Oslo, see https://www.uio.no/dscience/ The fellowship period is  four (4) years, with…

[phdpositionsdk]

PhD Research Fellow in drone data assimilation and swarm intelligence in climate science

PhD Research Fellow in drone data assimilation and swarm intelligence in climate science

PhD Research Fellow in drone data assimilation and swarm intelligence in climate science About the position A position as PhD Research Fellow in drone data assimilation and swarm intelligence in climate science is available at the Department of Geoscience. The PhD position is a part of the machine learning program at dScience – Center for Computational and Data Science at the University of…

[phdpositionsdk]

PhD Research Fellow in Machine Learning and Semantic Technologies

PhD Research Fellow in Machine Learning and Semantic Technologies

PhD Research Fellow in Machine Learning and Semantic Technologies About the position Position as Ph.D. Research Fellow in Machine Learning and Semantic Technologies is available at the Department of Informatics, the University of Oslo. The PhD position is a part of the machine learning program at dScience – Center for Computational and Data Science at the University of Oslo, see…

[hakkindatv]

D.Science | Evrenin İşleyişi: Gezegenler | HAKKINDA.TV

HEMEN İZLE

Video Süresi : 43:51 / D.Science | Evrenin İşleyişi: Gezegenler : https:// Bir zamanlar bilinen tek gezegenler güneşin yörüngesindekilerdi. Bugün kayalık dünyaları ve yıldızların yörüngesindeki büyük gaz yığınlarını keşfettik. Ve hepsinin inanılmaz hikayeleri vardı.

#Belgeseller #Dscience, #Evrenin, #İşleyişi

[hakkindatv]

D.Science | Evrenin İşleyişi: Büyük Patlama | HAKKINDA.TV

HEMEN İZLE

Video Süresi : 43:38 / D.Science | Evrenin İşleyişi: Büyük Patlama : https:// Evren nasıl yoktan var oldu? Bugün bildiğimiz atom parçacığından da ufak bir nokta olarak başlayıp günümüzdeki uçsuz bucaksız enginliğe varan gelişimi birlikte izleyelim.

#Belgeseller #Dscience, #Evrenin, #İşleyişi