PEG Derivatives Pyrene-PEG-NHS Ester Precautions Sharing

Pyrene-PEG-NHS is one of many polyethylene glycoolenoid derivatives for carbon nanotubes and graphene derivatives, by strongness between the anthracene and the aromatic ring on the single wall and the multi-walled carbon nanotubes. (Close to irreversible) π-π accumulation. The anthracene is bonded to PEG by very stable amide bond. This is a very simple process, only need to disperse carbon nanotubes well with polyethylene glycol-pyrene reagents in an organic solvent or aqueous solution. The same polyethylene glycolite reagent is also applicable to the surface of the carbon nanoparticles that are very matched in graphene or any curvature and the anthracene structure.

Xi’an Kaikin Biotechnology Co., Ltd. is a domestic PEG supplier, which can provide different molecular weight PEG derivatives. The circular festival of small molecule PEG can be 1-36, and the molecular PEG molecular weight is from 1000-40000, which can be modified. The groups are: amino groups, NHBOC, FMOC, carboxylic acid, MAL, NHS, laminated nitrogen, DBCO, CY3 / CY5 / CY7, THP, benzyl group, propynyl group, Bromo-propionate, tert-butyl acetate, tert-butyl acetate, methyl class, biotin, pentafluorophenol, sulfonate, mercapto, product purity is more than 98%.

Petrong Shares Develop Agricultural Artificial Intelligence Countermeasures and Suggestions

Shanghai Herong Agricultural Science and Technology Development Co., Ltd. is obviously increasingly driving the development of an agricultural and intelligent technology development, accelerating operational efficiency and resource utilization. Developing agricultural artificial intelligence, making it a challenge and opportunity for my country, it is necessary to live, catch up with advanced technology, develop work should take the absorption, lending, innovation, and beyond the way to improve the research as soon as possible. Innovation? Application system to meet the requirements of agricultural development on agricultural monitoring, agricultural data analysis, agricultural equipment transformation and upgrading, agricultural products supply and marketing chain tracking, etc., improve agricultural intelligence level, promote the development of agricultural modernization, play "head geese Effect, add bricks in the era of human agricultural intelligence. Comprehensive analysis, the following suggestions for the development of agricultural intelligence in my country:

1) Pay attention to the cultivation and management of artificial intelligence related professional talents. The root of promoting science and technology development is talent. Domestic agriculture and forestry universities should conduct professional reforms in accordance with the development trend of intelligence agriculture to meet the needs of new intelligence agricultural industries on new agricultural science and technology talents. In addition, it should be actively encouraged to support enterprises to cultivate composite talents that have both manual intelligence and agricultural background, solve the practical problems of farmers, and provide intelligence and talent support for new technologies such as artificial intelligence in agriculture. In terms of scientific research and team building, it is encouraged research teams with multidisciplinary cross-integration.

2) Promote infrastructure construction of agricultural intelligence development. The development of agricultural artificial intelligence is inseparable from massive data accumulation and network real-time response. The farm agricultural infrastructure is not perfect, and agricultural data has high acquisition costs, which greatly limits the breadth and depth of machine learning in scenarios. It should pay attention to the construction of 5G infrastructure construction in agricultural materials and rural areas, improve the level of infrastructure of intelligent agricultural sensors, build agricultural production information and digitalization projects, introduce agricultural data sharing mechanisms, etc., provide fundamentals for the large-scale application of artificial intelligent agricultural equipment And conditions.

3) Promote research and development of agricultural production intelligent control technology. Promote agricultural production intelligence sensation, identify research and development of operation decision models, for agricultural planting, breeding different environments, establish a multi-source data fusion, agricultural whole process decision support method, building field crops, greenhouses, livestock and poultry, and water products In the field of decision management and intelligent control models, using cloud? Edge-end architecture, realize the intelligent decision system based on "agricultural brain" under data driver management.

4) Strengthen the development of intelligent equipment and systems. For agricultural production needs, accelerate the popularity of intelligent machines, improve resource utilization and agricultural output rate, and improve economic benefits. Cultivate my country’s advantageous intelligent agricultural machinery such as agricultural drones, enhance the cross-boundary technology integration of agriculture and other industries, meet new generation information technology, open innovation model, seamless integration of human wisdom and machinery intelligence, re-assessing agricultural future, and create new business opportunities. First, research and development special equipment should consider reducing cost and improving adaptability, hardware, the sensors on smart devices such as robots and drones can increase or decrease depending on the actual situation, and the control part is indwelling the air interface; software, support secondary development And expand, provide a good platform for human machine collaboration and multi-machine collaboration. Second, Based on the cloud? Side-end architecture to build a "agricultural brain" intelligent decision system: Cloud platform provides storage and computing services, and the edge calculates the robots and other equipment on the Internet of Things and other equipment real-time dynamic management, the clouds are coordinated to the agricultural robot field The job provides decision support. Finally, the future agricultural robot will bear more and more job tasks and become key components in agricultural production. For this purpose, new technologies such as artificial intelligence, Internet of Things, big data, virtual perception system, multi-sensor fusion, human machine blending is required.

Japanese smart shopping cart let supermarket bid farewell information

In a new generation of smart shopping carts in a new generation of supermarkets that achieve efficient operations in digital technology.In this regard, the leading Japanese discount store company Trial Holding introduced about 5,000 smart shopping carts.This shopping cart can save checkout through automatic payment functions, and improve the functionality of the product through data analysis.Amazon,YongwangIt has also begun to adopt smart shopping carts, and competition has become more and more intense.

Trial Holding’s Trial Company opened in the "Super Center Triala" in Fukuoka Prefecture City, opened in October. Here, the clerk is introducing approximately 200 ways of use of smart shopping carts. A 40-year-oldBe satisfiedSay: "Really accident, so simple".

Customers can use the shopping cart as long as you brush a membership card (available for points, and do the recharge card). A liquid crystal screen and a scanner next to the armrests, and a scanning product will sound. There will be a list of goods and total amounts on the screen, and the coupons and goods sent according to the purchase record.Recommendation letterinterest.

You can automatically check out, you can stay in the cashier. Although there is a clerk to conduct a simple examination, but the checkout time is less than half of ordinary artificial cashiers. The humanity and time required for the cashier’s work is more than two0%.

Trial positioned smart shopping carts as an important part of store operations. In 2018, the 51 stores in Jiuzhou, Central, and Nakanda, in Japan, have introduced about 5,000 smart shopping carts. Customers can also choose an ordinary shopping cart. The average utilization rate of smart shopping carts exceeded 40%, and more than half of the 50 years old. Customers who use smart shopping carts have increased by 14%.

The Trial Group’s president of Retail Ai, which is responsible for technology development, said, "Improve shopping experience" by eliminating anxiety and recommended goods at the time of checking. " It is planned to promote smart shopping carts to approximately 60 stores in 2021, an increase of 6,500.

Smart shopping carts are getting more and more popular around the world. Amazon introduced the smart shopping cart "Dash Cart" for identifying the goods in the United States for 2020. When the customer walks through the channel, you can check up the credit card in advance.

Small store "Amazon Go" captures customers and goods through the sensors and cameras in the store, and achieves non-acceptance space terms. Although Amazon does not disclose relevant data, it is more than 100 million yen according to estimation of the introduction of the camera. The more large shops, the more difficult to introduce the sensors and cameras directly, so the smart shopping cart will debut.

Yongwang Retail began in some stores in some stores. App "Regigo", customers can rent smartphones, put them on the shopping cart to read the barcodes, and obtain approximately two-standing customers.

The advantage of leading Trial Holdings on the introduction time and scale is recommended. Trial Holdings will be based on approximately 27 billion "ID-POS data", and it is improvingSolemnRecommended algorithm.

It turned out to be recommended from hundreds of items set in advance, and now it is fully automated through artificial intelligence (AI), it can be recommended from thousands of items. Technical basis is a collaborative filtering algorithm, which is recommended to have a similar preferred goods.

Trial Holdings is a characterful retail company, and the ancestral industry is system development. Including China’s legal people, there are more than 500 technicians. The company quickly improves business model through independent design software and hardware. A new generation store will also set hundreds of cameras and electronic billboards that detect out-of-stock and activity routes, and obtain data with the shopping cart.

The Yongtian, which has an entrepreneurial experience in Silicon Valley, "" It is also improving technology to improve technology, "also attaches importance to external cooperation. The cooperation platform is a general community’s legal person "Retail AI Research Association", Trial has also joined this organization. Members include approximately 250 companies such as manufacturers and circulation enterprises. Verification experiments are provided by Trial, and data and technology are also shared with competitors.

The research will verify the product recommendation method of "natural language processing" technology used in Fukuoka in the store in Fukuoka City. Analyze the propaganda points introduced by each commodity, and classified according to the language.

At first glance, sesame oil and sugar beer have "alcohol thickness · soft · natural" these same keywords, so it is determined to be a product similar to values. When the customer scans sesame oil, the shopping cart will display "I recommend you to enjoy high quality, mellow taste" and recommend beer, and you can also discover the goods that are not easy to be recommended before.

Trial was opened in the palace of Miyu City became an experimental field. Trial recovered multiple abandoned schools in the city, built an Internet of Things (IoT) and AI development base, which will verify the technology as soon as possible.

Enough to detect the new shopping cart for customers forget to scan the product to charge 20 simultaneously

Trial also provides smart shopping carts outside. 2020 in China (one of Japan’s region, refers to Retail Partners in the Kuang Mountain, Hiroshima, Yamaguchi, Island, and Birds) and the Kyushu area. The supermarket in Kyushu introduced Trial’s shopping cart. . Trial will also develop a new smart shopping cart that can detect customers forgetting the product scan, but also charging 20 shopping carts. Will introduce in Trial and other enterprises in the store, and will be exported to China after 2022.

Under the promotion of non-contact demand in the new crown epidemic, emerging companies such as Caper will also develop smart shopping carts. The development and introduction of smart shopping carts will be more intense.

This article comes fromWeChatthe public "Niki Chinese" (ID: rijingzhongwenwang)Author: Nijing Chinese network, 36 经 authorization release.

Rashid Khan steps down as Afghanistan captain after ACB names T20 WC squad

Rashid Khan resigned as Afghanistan’s T20 captain on Thursday, claiming he was not consulted by the selectors while they were finalizing the team for next month’s T20 World Cup.

Afghanistan’s selectors had named Rashid as the captain while veteran wicket-keeper Mohammad Shahzad was also included in the squad. Afasr Zazai and Farid Ahmad Malik were announced as the two standby players. However, moments later, in a stunning development, Rashid Khan announced his decision of stepping down as the captain of the T20 side.

“The selection committee and ACB (Afghanistan Cricket Board) has not obtained my consent for the team which has been announced by ACB media,” Rashid said in a tweet, moments after the ACB tweeted the 18-member squad and also named two reserve players.

“As the captain and responsible person for the nation I reserve the right to be part of the selection of the team,” Rashid said. “I am taking the decision of stepping down from the role as the captain of Afghanistan T20 side effective immediately.”

Rashid, who is the world’s top-ranked bowler in Twenty20s, was named Afghanistan captain for the T20 World Cup in July. His deputy Najibullah Zadran was included in the 18-member squad.

Meanwhile, the International Cricket Council (ICC) expressed “concern surrounding women’s cricket in Afghanistan following media reports of the Taliban not allowing women to play the sport.

This in turn led Cricket Australia (CA) also stating that the planned men’s Test match against Afghanistan in November would not go ahead if the country does not support women’s cricket following the Taliban takeover.

“Driving the growth of women’s cricket globally is incredibly important to Cricket Australia. Our vision for cricket is that it is a sport for all and we support the game unequivocally for women at every level,” Cricket Australia said in its official statement.

Australia’s Sport Minister Richard Colbeck said earlier that the Taliban’s decision on women’s sport was “deeply concerning” and he urged organizations such as the International Cricket Council to take action.