Science View
Sezon 2017
On this program, you will encounter leading-edge researchers and their work... including world-renowned researchers who will join us in the studio. It's the perfect way to keep tabs on what's happening across a broad range of science and technology fields in Japan!
The program is hosted by a rotating lineup of "Science Watchers" along with Science Navigator Rena Yamada. Science Watchers are primarily university professors with expertise ranging from cultural anthropology to neuroscience. Each will appear on two broadcasts, bringing the perspective of their various fields to timely topics. You won't want to miss our Science Watchers' enlightening explanations of emerging developments in science and technology!
The Science News Watch segment highlights a story that has caught the interest of the week's Science Watcher. This is followed by the presentation of the day's main topic, a feature called The Leading Edge.
Science View will also cover Japanese manufacturing innovation. Michelle Yamamoto reports each week on one Takumi - a modern-day master of manufacturing innovation - on the J-Innovators segment.
Beginning on January 8th, a 28-minute program will be broadcast each Sunday at 9:10 am JST, and rebroadcast every four hours for the rest of the day for a total of six broadcasts.
NHK Program Site: https://www3.nhk.or.jp/nhkworld/en/tv/scienceview
The program is hosted by a rotating lineup of "Science Watchers" along with Science Navigator Rena Yamada. Science Watchers are primarily university professors with expertise ranging from cultural anthropology to neuroscience. Each will appear on two broadcasts, bringing the perspective of their various fields to timely topics. You won't want to miss our Science Watchers' enlightening explanations of emerging developments in science and technology!
The Science News Watch segment highlights a story that has caught the interest of the week's Science Watcher. This is followed by the presentation of the day's main topic, a feature called The Leading Edge.
Science View will also cover Japanese manufacturing innovation. Michelle Yamamoto reports each week on one Takumi - a modern-day master of manufacturing innovation - on the J-Innovators segment.
Beginning on January 8th, a 28-minute program will be broadcast each Sunday at 9:10 am JST, and rebroadcast every four hours for the rest of the day for a total of six broadcasts.
NHK Program Site: https://www3.nhk.or.jp/nhkworld/en/tv/scienceview
Where to Watch Science View • Sezon 2017
32 Episodes
- The Leading Edge: Ionic Liquids - New Materials Moving to Commercialization!E1
The Leading Edge: Ionic Liquids - New Materials Moving to Commercialization!Competition for development of advanced materials known as "ionic liquids" is now beginning all over the world. Ionic liquids are being called "the third liquid" as they are completely different from aqueous solutions or organic solvents, and yet are notable for having the same properties as solvents in not evaporating easily and conducting electricity. They are garnering attention for having functionality that is simply not possible with other liquids. For example, using an ionic liquid for the electrolyte in a lithium-ion rechargeable battery improves safety and durability. Such a battery was even installed on a satellite, and succeeded in charging and discharging in space. Also, using ionic liquids to make biomass energy for renewable energy can reduce both time and cost compared to conventional methods. In the field of medical care, research is underway to reduce the burden on patients by using the properties of ionic liquids so that medicine can be absorbed through the skin. Ionic liquids have the potential to change our lives significantly. - Sparse ModelingE32
Sparse ModelingSparse modeling is being used widely in scientific circles. It involves an equation that works like a detective to uncover the most important information from a limited amount of data. In the medical field, sparse modeling has shortened MRI scanning times, while in space research it can deduce the shape of black holes from limited observation data. Join us as we take a look at what sparse modeling is and what it can do!