q;
    using EventHorizon.Blazor.TypeScript.Interop.Generator.AstParser.Api;
    using EventHorizon.Blazor.TypeScript.Interop.Generator.AstParser.Model.Types;

    public interface IEnumTypeIdentifier
    {
        bool Identify(
            string identifierString,
            AbstractSyntaxTree ast
        );
    }

    public static class EnumTypeIdentifier
    {

        private static IEnumTypeIdentifier CACHED => new EnumTypeIdentifierCached();
        private static IEnumTypeIdentifier NOT_CACHED => new EnumTypeIdentifierNotCached();
        private static IEnumTypeIdentifier ACTIVE = CACHED;

        public static void DisableCache()
        {
            ACTIVE = NOT_CACHED;
        }

        public static bool Identify(
            string identifierString,
            AbstractSyntaxTree ast
        )
        {
            return ACTIVE.Identify(
                identifierString,
                ast
            );
        }
    }

    public class EnumTypeIdentifierNotCached
        : IEnumTypeIdentifier
    {
        public virtual bool Identify(
            string identifierString,
            AbstractSyntaxTree ast
        )
        {
            var hasEnumDeclarations = ast.RootNode.OfKind(
                SyntaxKind.EnumDeclaration
            ).Any(
                child => child.IdentifierStr == identifierString
            );
            return hasEnumDeclarations;
        }
    }

    public class EnumTypeIdentifierCached
        : EnumTypeIdentifierNotCached
    {
        private bool _isCachedSetup;
        private readonly List<string> _cache = new List<string>();

        public override bool Identify(
            string identifierString,
            AbstractSyntaxTree ast
        )
        {
            if (!_isCachedSetup)
            {
                var declarations = ast.RootNode.OfKind(
                    SyntaxKind.EnumDeclaration
                );
                foreach (var declaration in declarations)
                {
                    _cache.Add(declaration.IdentifierStr);
                }
                _isCachedSetup = true;
            }
            return _cache.Contains(identifierString);
        }
    }
}
It is important for business owners to think about advertising from a psychological perspective. Customers respond to visual and textual stimulation differently, depending on the type of advertisement they are looking at. Web design is very similar to an advertisement; it’s a visual display of available services for a specific company or cause. Here are some of the psychological ways customers respond to different website designs and why.
1. Customers don’t respond well to “busy” websites. Busy websites are ones that have too many colors, out of order navigational links, and an excessive amount of multimedia or imagery. These websites do a disservice to the company designing them. They cause an increase in cognitive load. When there’s too much cognitive load, the customer’s brain will automatically shut down and prevent over-flow of information in the neocortex, or the “thinking” part of the brain. As a result, content and information will be lost on the user.
2. Customers respond well to websites that use “shared information” techniques. Humans are individuals, but they also depend on a collective group for knowledge. We make predictions based on shared knowledge, or information that is commonly held to be true. For example, we all know that the earth is round, so scientists can make predictions about the earth’s rotation based on this assumption. Businesses must create a web design that understands what users know, and what they want to learn more about. This can be accomplished through surveys, focus group studies, and research about the way customers respond to different stimuli.
3. Customers respond overwhelmingly to visual stimuli and entertainment. 90% of information transmitted to the brain is visual, and over visuals are processed 60,000 times faster in the brain than text (3M Corporation & Zabisco). Text and content are important, but they take longer to read and understand than an image. We need images that relate to our mental image of how something should look. In other words, a day spa needs to have images of relaxation: candles, a woman getting a massage, etc.; because that is the way we imagine a spa in our head.
The brain responds differently to different types of designs. Humans have three parts of the brain: the thinking part, the emotional part, and the instinct part. Designers need to target the thinking part of the brain when creating a website. They can go about this by not designing “busy” websites, using shared information techniques, and developing aesthetically pleasing and stimulating images that convey a central message. Bigwig Monster Media has many low cost, available web design options that uses these techniques to apply towards a target audience.Oph�lie is an adept of self-bondage. Tonight she wants to try a new type of restraints: zip-ties. She mixes it with some breath-control, something that is always dangerous when playing alone...
Loved the bondage but I don't find snuff in any way erotic, but I knew what was coming by the tags and still read on so I can't complain about that.
Nigerian Media Advertising Guide gives new marketing direction
Jude Odia
As part of its contribution to the body of knowledge on Nigerian marketing communications industry, Media Perspectives, a leading media and advertising agency, has released the 2017/18 edition of Nigerian Media Advertising Guide. The annual publication is a compendium of global and local media/marketing research data, with complementary actionable insights and market intelligence that will help industry practitioners make informed business decisions that ultimately impact positively on the bottom line.
In a statement issued by the agency, its Chief Operating Officer, Mr. Jude Odia, said there is urgent need to democratise media/marketing research data, as it would help grow market-user appreciation and the potentials of the industry in Nigeria. He explained that the new edition was launched on digital first via a robust content and context-based campaign in line with the exponential growth and effectiveness of digital media driven by mobile in Nigeria today. There is also a plan in the works to release the NMAG-App exit 2017. This would further improve its usage experience and convenience for all industry stakeholders.
In the 2017/18 edition of the Nigerian Media Advertising Guide, the agency gives an overview of Nigeria’s population and demographic profile. The report also lucidly gives the overview of the country’s media facts, stating that TV, radio and outdoor remain the dominant media across the last four years, while the internet has the highest growth percentage since 2012, adding that it is greatly influenced by mobile penetration, especially in urban areas.
As a result of TV digitalization, the report urges business owners and advertisers to consider consolidating on Pay TV, which is increasingly affordable due to the availability of low-end consumer platforms and cost of data. It suggests that Internet holds a high degree of usage, especially among the young and middle-aged population, which are increasingly considered very important in terms of purchasing power.
The report also establishes that digital media is an effective engagement platform that has an ROI advantage as it is more accountable compared to traditional media. It also stated that exposure to media is higher amongst the southern region (with Lagos blazing the trail), compared to the north, due to ongoing insurgence.
While it posited that terrestrial TV stations in the country have grown to over 160 from 150 in the previous year, with NTA still dominating with about 107 stations across Nigeria, the report slams the print media for currently facing stiff competition from online news blogs and sites. It, however, concludes that online versions of the various newspapers remain an inevitable weapon to sustain readership.
On spend and product consumption, Nigerian Media Advertising Guide reveals that the top most consumed product categories are the FMCGs, while telcos and breweries still remain the top industry spenders in Nigeria. This edition is a sure reader’s delight and promises to be of immense value to all industry stakeholders.Starting around May 2016, Uber projected in public and private presentations that it would manufacture 13,000 autonomous vehicles by 2019, only to change that forecast four months later to over 75,000 units. The company also said that human safety drivers, who take over the wheel when an AV needs help, would not be required on its cars by 2020. And in 2022, the company declared, tens of thousands of fully self-driving Uber taxis would be in 13 of the largest cities.
While Uber ties with Elon Musk for the Outlandish Claims Trophy, far ahead of the rest of the field, self-driving pessimism is infecting all manufacturers. Optimism is not driving the recent collaboration and corporate consolidation in the self-driving car industry. Rather, their retrenchment is protection against an uncertain future.
More recent promises now include talk of “geo-fenced” applications where the self-driving car operates within certain boundaries and “human assistance to drive in multifaceted environments,”—as opposed to promises of full “autopilot” autonomy.
The data has never supported the brash industry claims. Self-driving true believers are just that: Believers in a misguided faith that human-created technology will somehow surpass the humans who create it. It is a nearly self-contradictory belief, at odds with the logic and clear-thinking most engineers cherish.) While some studies, such as one from Virginia Tech, commissioned by Google, reported three years ago that self-driving cars are safer, the authors admitted that they “lacked