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Before pursuing any financial strategies discussed on this website, you should always consult with a licensed financial advisor. Facebook Twitter Google Plus Youtube Linkedin Instagram Menu Palatin Technologies stock analysis: Palatin, one of the best biotech stock after expansion to Asian market November 23, 2017 This article was written by David Borenstein, a Financial Analyst at I Know First, enrolled in the double major in Economics and Business undergraduate program at the Interdisciplinary Centre, Herzliya.

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Article - McKinsey Quarterly - October 2016 Chinese consumers: Revisiting our predictions By Yuval Atsmon and Max Magni Chinese consumers: Revisiting our predictions Article Actions Share this article on LinkedIn Share this article on Twitter Share this article on Facebook Email this article Download this article As their incomes rise, Chinese consumers are trading up and going beyond necessities.

In 2011, we tried our hand at predicting the ways in which, in the decade to come, Chinese consumers would change their preferences and behaviors. This article takes stock of those predictions. Why check in now. Another is a comprehensive new McKinsey survey, which follows nearly ten years of previous research that includes interviews with more than 60,000 people in upward of 60 cities in China.

Deeper and more nuanced understanding of Chinese consumers can help reveal fresh opportunitiesfor new entrants and incumbents alikeand signal those areas where established players may need to be more wary. While geographic differences persist, Chinese consumers are, on the whole, more individualistic, more willing to pay for nonnecessities and discretionary items, more brand loyal, and more willing to trade up to more expensive purchaseseven as their hallmark pragmatism endures.

Just as it was then, generalizing about Chinese consumers continues to be almost as difficult (and maybe as foolish) as it is to generalize about European consumers.

We predicted these differences would remainand even grow more significant, especially in the consumption patterns and tastes that relate to discretionary items. To help companies better tailor their go-to-market approach, we grouped most cities in China into clusters based on their similarities, including their geographic proximity and the transportation infrastructure that connects them.

Furthermore, when our latest survey compared the consumers in the Shanghai area to those around Beijing and Hangzhou, certain spending attitudes also showed marked differences. For example, brand loyalty increased much faster in Shanghai (24 percent increase in three years versus just 7 percent in Beijing and 9 percent in Hangzhou), as did the willingness to pay for better or healthier products.

Despite geographic differences, there are broad similarities among Chinese consumers. These mirror the general trends economists have found among consumers around the world as economies develop.Those links themselves might not carry much weight, but secondary links from such activity can.

If you are new to social media marketing, check out this: How To Get Started in Social Media. Some forums drive some decent traffic, though, so it could be useful monitoring the feeds of particular forums and actually be answering questions on forums that in turn drive traffic to your site.

This type of activity is a significant effort, over a long time, with NO first-order effect on your Google organic traffic levels and rankings. MOST REPUTABLE FORUMS require some activity on the forum before you can post links, however, adding another hurdle to get over with this strategy. These types of links can be very valuable, but you should probably avoid paying for blog links (most links, in fact).

If you have a piece of content worth sharing, it can often be useful to try and get bloggers to cover it. Any (reputable) link on the primary domain and pages of a major university, college or school website is (usually) going to be of a great help to your site in terms of Google traffic. If you have any reason for any university, for instance, to link to you, then you should take FULL advantage of it. I think it is essentially the responsibility of the site in question to nofollow these type of links.

It would be very cynical of Google to punish these type of links. Some partners do not know they will receive links from recipients. If ALL your links come from these type of sources, and are created in a manipulative way that could be seen as a problem.

Those type of links should come from better sources in in 2017. The more reputable or popular the site is the more useful this type of link will be. Event links can be VERY powerful links indeed. If you are at exhibiting an at event, or supplying any service to an event, AIM to get a link form the event website. These websites tend t be trusted websites, and in turn, liked-to by more reputable sites like news and media sites.

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We advise paying the flat rate for all day parking.You can also list all of your anomaly detectors. This can be used to change the names of the fields in the anomaly detector with respect to the original names in the dataset or to tell BigML that certain fields should be preferred.

Must be a number greater than or equal to 2 and less than or equal to 1000 (or 16 in development mode). All the fields in the dataset Specifies the fields to be considered to create the anomaly detector. The range of successive instances to build the anomaly detector.

Example: "MySample" tags optional Array of Strings A list of strings that help classify and index your anomaly detector. The minimum number is 1 and the maximum is 1024. Example: 256 You can also use curl to customize a new anomaly detector. Read the Section on Sampling Your Dataset to learn how to sample your dataset. Once an anomaly detector has been successfully created it will have the following properties.

Creating an anomaly detector is a process that can take just a few seconds or a few days depending on the size of the dataset used as input and on the workload of BigML's systems. The anomaly detector goes through a number of states until its fully completed. Through the status field in the anomaly detector you can determine when the anomaly detector has been fully processed and ready to be used to create predictions. Thus when retrieving an anomaly, it's possible to specify that only a subset of fields be retrieved, by using any combination of the following parameters in the query string (unrecognized parameters are ignored): Fields Filter Parameters Parameter TypeDescription fields optional Comma-separated list A comma-separated list of field IDs to retrieve.

To update an anomaly detector, you need to PUT an object containing the fields that you want to update to the anomaly detector' s base URL.

Once you delete an anomaly detector, it is permanently deleted. If you try to delete an anomaly detector a second time, or an anomaly detector that does not exist, you will receive a "404 not found" response. However, if you try to delete an anomaly detector that is being used at the moment, then BigML. To list all the anomaly detectors, you can use the anomaly base URL. By default, only the 20 most recent anomaly detectors will be returned. You can get your list of anomaly detectors directly in your browser using your own username and API key with the following links.

You can also paginate, filter, and order your anomaly detectors. Associations Last Updated: Monday, 2017-10-30 10:31 Association Discovery is a method to find out relations among values in high-dimensional datasets. It is commonly used for market basket analysis. For example, finding customer shopping patterns across large transactional datasets like customers who buy hamburgers and ketchup also consume bread, can help businesses to make better decisions on promotions and product placements.

Association Discovery can also be used for other purposes such as early detection of failures or incidents, intrusion detection, web mining, or biotechnology. Note that traditionally association discovery look for co-occurrence and do not consider the order in which an item appear within an itemset. Associations can handle categorical, text and numeric fields as input fields: You can create an association selecting which fields from your dataset you want to use.

You can also list all of your associations. This can be used to change the names of the fields in the association with respect to the original names in the dataset or to tell BigML that certain fields should be preferred.Nobody will remember the game the last day of November when figuring out how much they want to pay Kirk Cousins.

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Radio host claims Redskins receivers don't like Cousins OK, this is the last Cousins hot take on this list. But I have a tough time believing something that is not at all in line with what I see every day.

The amount of salary on Redskins' IR list is significant The Redskins are paying a lot of players to not pay. As I noted in the Zach Brown article above, teams get hit twice when a player goes on IR. They have to pay one player who is not playing and another one to take the roster spot of the player on the shelf. For the longer answer, read the post. Stay up to date on the Redskins. Rich Tandler covers the team 365 days a year. Like his Facebook page Facebook.

So he cooked up another one for this week's game vs. The second-year defensive lineman was off to a very strong start this year before suffering a broken hand in Week 8 against the Cowboys. He was out of the lineup for the next two games and since then he has been practicing and playing with his left hand in a large, club-like cast.

On Thursday, he practiced with less protection on the injured hand, a setup that allowed him to use both of his hands. Those are important assets when it comes to shedding blocks and making effective pass-rush moves. Just not quite as good as he would without it.

With two usable hands, he had 3.

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Since then, he has played in five games without a sack. Edge rusher Preston Smith had 4. That internal pass rush is hard to replace, quite frankly. Philip Rivers is not a mobile quarterback but he has been sacked only 13 times this year. If a less-encumbered Ioannidis can pick up his game, Smith and Ryan Kerrigan could disrupt the comfortable pocket in which Rovers has been able to operate.


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