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2018年9月

2018年9月24日 (月)

favored by pension funds

  Social security heavy stocks are favored by pension funds

  Recently, 14 pension fund funds of the first 14 fund companies have been approved, and the construction of the third pillar of pension is in full swing. On the other hand, the social security fund, which is one of the first pillars of the pension and one of the important players in the market, has gradually revealed its trend with the disclosure of the listed companies in the Shanghai and Shenzhen stock exchanges. According to statistics from the statistics, as of August 19, 141 companies have appeared in the tradable shares of the social security fund, and most of the stocks that have been covered by the social security fund have achieved good positive returns in the second quarter. Some analysts believe that from the perspective of investment, the industries and individual stocks that are obviously concerned by the social security fund are expected to become the key targets for the pension fund.

  Most of the social security fund's jiacang stocks received positive returns

  According to the statistics of Choice, as of August 19, among the listed companies that have disclosed the results of the interim report, 141 companies have appeared in the tradable shares of the company. Among them, the social security fund newly held 40 stocks, increased 56 holdings, and reduced 15 companies. From the perspective of the disclosed mid-year report companies, social security is still optimistic about the big consumer sector. Some institutional sources said that most of the jiacang stocks received good positive returns in the second quarter.

  Among the 40 stocks newly held, the top 11 new stocks have more than 10 million shares, and the new stocks with more than 20 million shares have 3 stocks, namely Changxin Technology, Rongsheng Development and energy-saving wind power.

  In terms of holdings, the most-recognized Nangang shares were respectively increased by 320.825 million shares, 12.605 million shares and 12 million shares by the social security fund 418, 161 and 102. As of June 30, Nangang was jointly held by the social security group of 66,600,500 shares. In addition to the shares of Nangang, Xinlun Technology has also been increased by a large margin, totaling 4,417,900 shares by 4 social security fund portfolios. In addition, Beixin Building Materials, Bishuiyuan, Nanjing Bank, Tonghua Dongbao and Rongsheng petrochemical were all increased by 10 million to 20 million shares in the second quarter.

  Or become a target for raising old-age target funds

  From the above-mentioned increase in holdings and new companies, the better performance is the main reason for the increase in the funds of the social security fund. According to statistics from China Securities Journal, as of August 19, nearly 90% of the companies that have disclosed social security funds' new or increased holdings have achieved year-on-year growth in net profit, and some companies' net profit has increased by more than 100% year-on-year. Higher profitability. In addition, it also shows that the social security fund has a more prominent stock selection ability.

  According to the 2017 annual report released by the Social Security Fund on July 31, the performance of the social security fund is still outstanding. The data shows that in 2017, the social security fund's equity investment income was 184.614 billion yuan, and the investment yield was 9.68%. Among them, the realized income amount is 101.197 billion yuan (the realized rate of return is 5.58%), and the fair value change of trading assets is 83.417 billion yuan. It is worth mentioning that since the establishment of the National Social Security Fund in August 2000, the accumulated investment income has exceeded 1 trillion yuan, and the average annual investment return rate has reached 8.44%. From the perspective of the return on investment in social security funds in recent years, the return on investment in 2012-2015 reached 7.01%, 6.2%, 11.69%, and 15.19%, respectively. By 2017, the return on equity investment reached 9.68%, exceeding the historical average.

  Some analysts pointed out that after the approval of the pension fund, it is expected to enter the issue period quickly, bringing a lot of "live water" to the market. Considering that the pension fund has higher requirements for stable income, its investment style is expected to tend to the social security fund. From the perspective of investment, the industries and individual stocks that are obviously concerned by the social security fund are expected to become the key targets for the pension fund. Yang Delong, chief economist of Qianhai Open Source Fund, also said that the operation of social security funds emphasizes long-term, security and profitability. At present, the valuation of A-share blue-chip stocks is in the bottom of history, which is a good time for social security funds, pensions and other long-term funds to enter the market.

  The article was transferred from: http://www.xinhuanet.com/money/2018-08/20/c_1123294500.htm

2018年9月19日 (水)

Reinvented Victorian

  Erdem's Gender-Blurring SS19 Show Reinvented Victorian Beauty As We Know It

  Suddenly we only want forest green eyes and tight braids.

  BY CHARLOTTE BITMEAD

  18/09/2018

  Erdem SS19AMBRA VERNUCCIO

  Fanny and Stella were the inspirations behind the Erdem SS19 collection; two Victorian gay Men, who dressed as women to avoid suspicion about living in the same house, strictly forbidden in 1870.

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  So, just like that rebellious pair, make-up artist Val Garland broke the rules on Victoriana beauty.

  Erdem SS19

  AMBRA VERNUCCIO

  ‘We assume that Victorians were always so strict within society but they were actually quite Bohemian behind closed doors’ says Garland. This was reflected in the simple natural skin, paired with NARS' acid yellow Single Eyeshadow in Duoro and emerald green Eyeshadow Quad in Moskova.

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  NARS eyeshadow in Douro

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  To get the vivid colours, Garland coloured in models' eyelids with brightly coloured eyeliner pencils to create a waxy base, before ditching the eyeshadow brushes for cotton wool and applying matching shadow, ‘cotton wool means you can get a lot more product on the eyelids and by pressing the powder in, it creates a velvet texture packed with pigment’ explains Garland.

  Erdem SS19

  NARS

  In place of mascara, Garland coloured in a fan brush with the appropriate eyeliner and swept it across the models' lashes so any eyeshadow fallout applied afterwards caught on them and stuck, creating a painterly effect reflective of Erdem's Bloomsbury crowd inspiration.

  Bright eyes were paired with flushed lips - Val placed loose powder over the top to create a dusty pink effect. The same make-up was applied on the male models to fit seamlessly with the women, just as Fanny and Stella did.

  Erdem SS19

  AMBRA VERNUCCIO

  Hairstylist Anthony Turner created the kind of braids that enter the highest echelons of Fashion Week Hair. Turner created a centre parting, then braided the two sections of hair, starting behind the ears and following the back of the hairline, to meet in the middle and finished off with L’Oreal professionnel Infinium pure Hairspray, launching in October.

  View this post on Instagram

  @erdem SS19 styled by @vittoriacerciello make up @thevalgarland hair #Anthonyturnerhair at @streetersldn using @lorealpro and @dysonhair #lorealprofessionnel #dyson #braid #hair #beauty #erdem

  A post shared by Anthony Turner (@anthonyturnerhair) on Sep 17, 2018 at 5:23am pDT

  The strong middle part perfects the combination of masculinity in the front and femininity in the back.

  The seemingly traditional beauty elements paired with dashes of bold bright colours, echoed the print designs of the dresses and the overall theme of the collection: that not everything is not what it seems at first glance.

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2018年9月10日 (月)

know if you're happy - or a threat

  The cameras that know if you're happy - or a threat

  By Daniel Thomas

  Technology of Business reporter

  17 July 2018

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  Image copyrightAFFECTIVA

  Image caption

  Affectiva says its algorithms can detect hidden emotions in facial expressions

  Facial recognition tech is becoming more sophisticated, with some firms claiming it can even read our emotions and detect suspicious behaviour. But what implications does this have for privacy and civil liberties?

  Facial recognition tech has been around for decades, but it has been progressing in leaps and bounds in recent years due to advances in computing vision and artificial intelligence (AI), tech experts say.

  It is now being used to identify people at borders, unlock smart phones, spot criminals, and authenticate banking transactions.

  But some tech firms are claiming it can also assess our emotional state.

  Since the 1970s, psychologists say they have been able to detect hidden emotions by studying the "micro expressions" on someone's face in photographs and video.

  Algorithms and high definition cameras can handle this process just as accurately and faster, tech firms say.

  "You're already seeing it used for commercial purposes," explains Oliver philippou, an expert in video surveillance at IHS Markit.

  Image copyrightAppLE

  Image caption

  The iphone X can be unlocked using facial recognition

  "A supermarket might use it in the aisles, not to identify people, but to analyse who came in in terms of age and gender as well as their basic mood. It can help with targeted marketing and product placement."

  Market research agency Kantar Millward Brown uses tech developed by US firm Affectiva to assess how consumers react to TV adverts.

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  Affectiva records video of people's faces - with their permission - then "codes" their expressions frame by frame to assess their mood.

  "We interview people but we get much more nuance by also looking at their expressions. You can see exactly which part of an advert is working well and the emotional response triggered," says Graham page, managing director of offer and innovation at Kantar Millward Brown.

  Image copyrightWESEE

  Image caption

  WeSee's tech is being used to assess people's emotional state during interviews

  More controversially, a crop of start-ups are offering "emotion detection" for security purposes.

  UK firm WeSee, for example, claims its AI tech can actually spot suspicious behaviour by reading facial cues imperceptible to the untrained eye.

  Emotions, such as doubt and anger, might be hidden under the surface in contrast to the language a person is using.

  WeSee says it has been working with a "high profile" organisation in law enforcement to analyse people who are being interviewed.

  "Using only low-quality video footage, our technology has the ability to determine an individual's state of mind or intent through their facial expressions, posture, gestures and movement," chief executive David Fulton tells the BBC.

  "In future, video cameras on a tube station platform could use our tech to detect suspicious behaviour and alert authorities to a potential terrorist threat.

  Image caption

  Could emotion surveillance spot people likely to cause trouble at large events?

  "The same could be done with crowds at events like football matches or political rallies."

  But Mr philippou is sceptical about the accuracy of emotion detection.

  "When it comes simply to identifying faces, there are still decent margins of error - the best firms claim they can identify people with 90%-92% accuracy.

  "When you try assess emotions, too, the margin of error gets significantly bigger."

  That worries privacy campaigners who fear facial recognition tech could make wrong or biased judgements.

  "While I can imagine that there are some genuinely useful use-cases, the privacy implications stemming from emotional surveillance, facial recognition and facial profiling are unprecedented," says Frederike Kaltheuner of privacy International.

  Straightforward facial recognition is controversial enough.

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  Image copyrightSOUTH WALES pOLICE

  Image caption

  South Wales police scans faces using surveillance cameras

  When revellers attended BBC Radio 1's Biggest Weekend in Swansea in May, many will have been unaware that their faces were being scanned as part of a huge surveillance operation by South Wales police.

  The force had deployed its Automated Facial Recognition (AFR) system, which uses CCTV-type cameras and NEC software to identify "people of interest", comparing their faces to a database of custody images.

  One man on an outstanding warrant was identified and arrested "within 10 minutes" of the tech being deployed at the music festival, says Scott Lloyd, the AFR project leader for South Wales police.

  But human rights group Liberty points out that the tech has yielded large numbers of "false positive" matches at other events, such as the Champions League final in Cardiff last year.

  And in July, Cardiff resident Ed Bridges - represented by Liberty - began legal action against the force, arguing that AFR violated people's privacy and lacked proper scrutiny, paving the way for a High Court battle.

  Chinese police unveil camera sunglasses

  Singapore airport tests face recognition

  But the technology is becoming more reliable, says patrick Grother, head of biometric testing at the National Institute of Standards & Technology, a US federal agency that conducts research into facial recognition.

  Image copyrightAFp

  Image caption

  Chinese police recently began using sunglasses fitted with a facial recognition system

  He attributes the recent technological progress to the development of "convolutional neural networks" - an advanced form of machine learning that enables a much greater degree of accuracy.

  "These algorithms allow computers to analyse images at different scales and angles," he says.

  "You can identify faces much more accurately, even if they are partially obscured by sunglasses or scarves. The error rate has come down ten-fold since 2014, although no algorithm is perfect."

  WeSee's Mr Fulton says his tech is simply a tool to help people assess existing video footage more intelligently.

  He adds that WeSee can detect emotion in faces as effectively as a human can - "with around 60%-70% accuracy".

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