News on China's scientific and technological development.
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As long as GMO crops are properly tested for human to consume and for use as animal feed, they are fine.
The worst is that company like Monsato, insert kill gene into their GMO seeds, so after harvest, farmers can't reuse what they harvested for seed for the next growing cycle, like our ancestors did for Millennium. That force the farmers to keep buying new seeds from those company forever as long as they farm. And farmers are paying heft premium on loyalties on the seeds for ever.
If you want to look up 'Gold rice', it has no loyalty on it for any farmer want to grow it, then again, that's done by a non-profit organization, not one of those western 'biotech' companies.
The worst is that company like Monsato, insert kill gene into their GMO seeds, so after harvest, farmers can't reuse what they harvested for seed for the next growing cycle, like our ancestors did for Millennium. That force the farmers to keep buying new seeds from those company forever as long as they farm. And farmers are paying heft premium on loyalties on the seeds for ever.
If you want to look up 'Gold rice', it has no loyalty on it for any farmer want to grow it, then again, that's done by a non-profit organization, not one of those western 'biotech' companies.
AssassinsMace
Lieutenant General
Unless there’s a specific enzyme or protein that’s created that’s toxic to human consumption all that stuff is going to get digested the same way. And all the new proteins and other organic compounds that are being produced through the genetic modification are things that already exist in some natural form somewhere else. So it’s not like we’re in the dark about potential toxicity from GMO modifications.
China accomplishes world's 1st optical all-sky survey by commercial telescope
China's commercial space telescope Yangwang-1 completes an optical survey of the whole sky. /Origin Space
China's commercial space telescope Yangwang-1 completed an optical survey of the whole sky, according to its developer Origin Space, marking the world's first optical survey using a commercial space telescope.
The telescope, launched into orbit from the Taiyuan Satellite Launch Center in north China's Shanxi Province on June 11, 2021, was developed by Shenzhen-based Origin Space Technology Co., Ltd. for asteroid resource exploration and research.
Su Meng, the founder and CEO of Origin Space, said during its stay in orbit, Yangwang-1 carried out sky survey observation, atmospheric luminous observation, night remote monitoring and asteroid observation.
In addition to its astronomical, asteroid and space debris observation capabilities, Yangwang-1 can also perform nighttime remote sensing, and the spatial resolution of the nighttime light satellite images obtained has reached less than 30 meters, said Su.
Origin Space plans to build a constellation in the future, which will be composed of multiple multi-band space telescopes. The first phase of the network with 10 satellites is expected to be completed in 2023, Su said.
Chinese scientists have found two genes in rice that can make the staple crop more heat-resistant, providing a new way to breed highly thermotolerant crops, according to a study published in the journal Science.
The researchers from the Shanghai Institute of Plant Physiology and Ecology under the Chinese Academy of Sciences and Shanghai Jiao Tong University revealed the mechanism by which the rice's cell membrane senses external heat-stress signals before communicating with chloroplasts – the organelles in which photosynthesis occurs.
Too much heat can damage a plant's chloroplasts. When temperatures exceed a crop's usual tolerance, its yields tend to drop.
The researchers identified a locus with two genes: Thermo-tolerance 3.1 (TT3.1) and Thermo-tolerance 3.2 (TT3.2). They interact in concert to enhance rice thermotolerance and reduce grain-yield losses caused by heat stress.
The researchers found that accumulated TT3.2 triggers chloroplast damage regarding heat stress, but, in that scenario, TT3.1 can serve as a remedy.
Upon heat stress, TT3.1, a potential thermosensor, will remove the cell membrane from the cell to degrade the mature TT3.2 proteins, according to the study.
"The study elucidates a fresh molecular mechanism that links plant cell membranes with the chloroplast in responding to heating signals," said the paper's co-corresponding author Lin Hongxuan with the Shanghai Institute of Plant Physiology and Ecology.
Then, the researchers used hybridization to translate the TT3 locus of African rice into Asian species.
The field test has shown that the new species is more heat tolerant. It can withstand heat at 38 degrees Celsius without crop failure, while the output of normal species would be reduced above 35 degrees Celsius, said the researchers.
The newly-found gene might also be used in other plants, including wheat, maize, bean, and vegetables, to cultivate heat-tolerant strains, according to the researchers.
The Self-Organizing Map Network ( SOM , Figure 1a ), also known as the “Kohone network ” , is a powerful unsupervised learning neural network inspired by the topology of the brain. Compared with linear algorithms such as classical multi-dimensional scaling or principal component analysis, SOM has more powerful data clustering capabilities and exhibits unique advantages in clustering and optimization problems such as language recognition, text mining, financial forecasting, and medical diagnosis. However, the implementation of SOM based on traditional CMOS hardware is limited by the complexity of calculating similarity and determining the neighborhood, and has problems such as complex circuit structure, high energy area overhead, and lack of accurate calculation of similarity. How to build concise, efficient, and accurate SOM hardware is still a big challenge. As a new type of programmable non-volatile memory device, memristor has the natural advantage of supporting parallel computing and in-memory computing with its interleaved array structure, which provides a new way for the hardware implementation of SOM .
Recently, the team of Academician Liu Ming from the Institute of Microelectronics and the team of Professor Liu Qi from Fudan University used memristor arrays (Fig. 1b & c ) to construct the weight matrix in the SOM network, realizing an efficient SOM hardware system for the first time. To address the increased hardware system complexity when the number of neurons and input features in the SOM increases, the team proposes a novel multi-additional row memristor array architecture (Fig. 1d ), which divides the memristor array into two One part stores weight information as data rows, and the other part stores the sum of squares of weights as additional rows. The similarity between the input vector and the weight vector can be achieved with one-step read operation without the need to normalize the weights. Based on this hardware system, the team successfully demonstrated data clustering, image segmentation, image compression and other applications and successfully used it to solve combinatorial optimization problems (Figure 2 ). Experimental results show that the system has higher energy efficiency and computational throughput than CMOS systems without compromising success rate or accuracy . In addition, due to its unsupervised characteristics, the application scenarios are richer and more suitable for the needs of real life, opening up a new way for the construction of memristor-based intelligent hardware.
The research was supported by the National Key R&D Program, the National Natural Science Foundation of China, the National Major Science and Technology Project, and the Zhejiang Provincial Key Scientific Research Project. The research results were published online in Nature Communications under the title " Implementing in-situ Self-organizing Maps with Memristor Crossbar Arrays for Data Mining and Optimization " . Dr. Wang Rui from the Institute of Microelectronics is the first author, and researcher Liu Qi, a professor at the Institute of Chip and System Frontier Technology, Fudan University, and Shi Tuo, an associate researcher from the Institute of Microelectronics, are the co-corresponding authors.
The research was supported by the National Key R&D Program, the National Natural Science Foundation of China, the National Major Science and Technology Project, and the Zhejiang Provincial Key Scientific Research Project. The research results were published online in Nature Communications under the title " Implementing in-situ Self-organizing Maps with Memristor Crossbar Arrays for Data Mining and Optimization " . Dr. Wang Rui from the Institute of Microelectronics is the first author, and researcher Liu Qi, a professor at the Institute of Chip and System Frontier Technology, Fudan University, and Shi Tuo, an associate researcher from the Institute of Microelectronics, are the co-corresponding authors.
Fig. 1 SOM schematic and its implementation based on memristor array. (a) Schematic of the SOM network. (b) Typical IV curve of a memristor . (c) Optical physical image of the 128×64 1T1R memristor array. (d) Schematic diagram of the 1T1R memristor array realizing 2D-SOM .
Not a News on China's S&T Development, but since it was related to earlier discussion on this thread, so here goes.
After a 2 year-gap lost to Japan's Fugaku, the US can finally brag about having the fastest supercomputer yet again!
Quoting this particular opening sentence from that article:
"ONLY MACHINE IN THE WORLD"
"EXAFLOP"
China with two Exascale supercomputers already & (kind of) secretly in operation way back in 2020/2021 (plus a 3rd one incoming) be like:
After a 2 year-gap lost to Japan's Fugaku, the US can finally brag about having the fastest supercomputer yet again!
Quoting this particular opening sentence from that article:
"ONLY MACHINE IN THE WORLD"
"EXAFLOP"
China with two Exascale supercomputers already & (kind of) secretly in operation way back in 2020/2021 (plus a 3rd one incoming) be like:
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