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SFMTA 中文月報 Chinese Monthly News - Episode 2
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Follow us "Add ice cubes to your clothes, pour a bottle of water into it, and open it to start water circulation. There is a water channel in the vest, which can quickly lower the temperature, and you will be cool all of a sudden." On July 14, a nucleic acid test in Fangshan At t
Fangshan: The "Dabais" are wearing "work clothes" that can be plugged in! what's going on? The answer is here →
finance
July 14th is almost the day when banks issue the most announcements except for the financial reporting season. As of the evening, a total of 16 banks had issued announcements with the same theme: the investigation of the "Guaranteed Delivery of Buildings" situation.
Amid the wave of loan cuts, banks are trying to figure out their financial situation, risks are controllable, and "guaranteing the delivery of properties" is the key
finance
China Fund News reporter Jiang You intern Zhao Xinyi reported on July 14 that according to the equity disclosure information of the Hong Kong Stock Exchange, Sequoia China, a well-known investment institution, reduced its holdings of approximately 21.07 million Meituan shares on
Sequoia China takes action! Reduce holdings in Meituan and withdraw for the sake of its funds
finance
Recently, many places have gradually increased the minimum payment period for employee medical insurance. Men have to pay for 30 years and women have to pay for 25 years, which has triggered heated discussions. Why should the minimum payment period be increased?
What are the impacts of multiple increases in the minimum payment period for medical insurance?
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Start from actual combat, focus on logical deduction, and emphasize both offense and defense! Like and follow, you will get useful information every day! On June 29, Luchang Technology analyzed, first pulled back 10%, and then four daily limits! On June 30, Fenda Technology analy
Trading diary on July 14, the stock price plummeted 70%, the market counterattacked with heavy volume, 13 institutions jointly conducted a survey
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On July 14, the Shanghai Composite Index surged higher and fell slightly lower during the session, dragged down by financial, real estate and other sectors. The Shenzhen Component Index and the ChiNext Index surged higher. The ChiNext Index once soared by more than 3%, and the Sc
The GEM index made a strong showing, rising 2.63%! The energy storage concept sets off a rising trend, and the financial sector weakens
finance
China Fund News Reporter Yishan After 8 months, Keming Food, the leading noodle maker, is raising prices again! It is understood that this price increase is due to the excessive increase in wheat prices, which has led to an increase in the company's operating costs. Keming Food h
Just announced: the price of dried noodles has increased again
finance
Hello everyone, I am Fa Ge. Today is Thursday, July 14, 2022. The Shanghai Stock Index continues to maintain a slightly volatile trend today. Judging from the daily trend of the Shanghai Stock Index, it has continued to fall and adjust after breaking the 20-day moving average. As
A-shares: Should we shake positions tomorrow or rebound directly?
finance
On July 13, Hebang Biotech disclosed its performance forecast for the first half of 2022. It is expected that the net profit attributable to the parent company in the first half of 2022 will increase by 168,572.63-1,885.7263 million yuan year-on-year, a year-on-year increase of 1
Benefiting from the rising prices of its main products, Hebang Biotech’s net profit in the first half of the year is expected to nearly triple
finance
Hello guys, today is finally following our prediction for Tuesday, with the market declining first and then rising. Let’s talk about new energy, liquor, photovoltaics, semiconductors, military industry, and biomedicine sectors. If you have any positions, please come over! Let’s f
If you have positions in new energy, liquor, photovoltaics, semiconductors, military industry, and biomedicine, please come here.
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Today, more than 100 stocks in the two cities hit the daily limit. If banks and insurance companies were not among the top losers, and the green market of the Shanghai Composite 50 Index dragged down the market index, the market should have gone stronger today. On the market, the
Evening review of the stock market: The rebound will continue, with the two cities exceeding the daily limit of 100 stocks
finance
According to the website of the Central Commission for Discipline Inspection and the National Supervisory Commission, the Discipline Inspection and Supervision Team of Sinochem Holdings Co., Ltd. and the Fujian Provincial Commission for Discipline Inspection and Supervision: Du Y
Du Yongzhi, member of the party committee and deputy general manager of Sinochem Quanzhou Petrochemical Co., Ltd., is under review and investigation
finance
On the evening of July 12, the 2021 Top 100 List of China's Pharmaceutical Industry was officially announced. Henan Lingrui Pharmaceutical Co., Ltd. was selected into the "2021 Top 100 List" for its innovative drive in intelligent manufacturing and digital transformation, as well
Lingrui Pharmaceutical ranks 30th on the 2021 China Top 100 Traditional Chinese Medicine Enterprises list
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This year is already the 10th year since the merger of Huangdao District and Jiaonan City. This generous move has truly opened up the overall framework of Qingdao's urban development and entered the fast lane of global development. In the past ten years or so, against the backgro
10 years after the merger of Qingdao's two powerful districts, who is the biggest beneficiary?
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Passenger planes of many airlines are parked at Zhengzhou Airport. Dahe News·Yu Video reporter Chen Pengchong wrote and photo provided by Zhengzhou Airport. On July 14, the Zhengzhou Municipal Development and Reform Commission issued an announcement on the "Zhengzhou City's "14th
Zhengzhou solicits opinions on major plan to establish local main base passenger airline in due course
finance
From the cash withdrawal crisis in rural banks in Henan to the forced suspension of loans by owners of unfinished buildings in many places across the country, banks, once considered the safest and most reliable organizations, have suddenly been thrust into the spotlight.
Banks, houses, cash and inflation
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The 2022 Taipei mayoral election will be held one after another. The Kuomintang "legislator" Chiang Wanan is locked in a battle to defend the 40%. Chen Shizhong, the former head of the health department who participated in the battle on behalf of the Democratic Progressive Party,
In order to support Chen Shizhong, the Democratic Progressive Party has come out with all its elites. Whether "abandonment" will occur in the Taipei City election has become a key issue.
finance
#summer stallchasing endlessly# One of the reasons why Xiao Yanzi could be confused as Princess Princess was that she fell into a coma after being shot by Yongqi's arrow, and finally recognized the identity of Princess Princess in a daze. . If Xiao Yanzi was not shot by Yong Qi w
If Xiao Yanzi hadn't been hit by Yongqi's arrow, would there still have been any discrepancies between the real and the fake?
finance
Domestic News Data from the National Bureau of Statistics show that the country's total summer grain output in 2022 is 147.39 million tons (294.8 billion catties), an increase of 1.434 million tons (2.87 billion catties) over the previous year, an increase of 1.0%. The Ministry o
News is coming, hello and well 2022.7.15
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Apple launched an updated and redesigned MacBook Air in June 2022, giving the MacBook Air series its biggest design overhaul since 2010 and using the new M2 chip for the first time.
M2 MacBook Air: Everything you need to know
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Huawei released the P50 series of smartphones last year. This series of machines uses the Snapdragon 888 4G chip and the Kirin 9000 4G chip. However, because the Kirin chip is difficult to produce, only a small number of early Huawei P50 series mobile phones used the Kirin 9000 4
Is Huawei Smart Selection kind? TD Tech P50 is coming, equipped with the same chip as Huawei P50
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* The elliptical and circular contour plots at the beginning of the article are only applicable to linear models using mean square error. For other loss functions or more complex models, such as deep neural networks, the error surface of the loss function may be complex and It ca
Why do we need to normalize/standardize features?