Suggestion
Nineteenth-century writers on psychology such as William James used the words "suggest" and "suggestion" in the context of a particular idea which was said to suggest another when it brought that other idea to mind. Early scientific studies of hypnosis by Clark Leonard Hull and others extended the meaning of these words in a special and technical sense (Hull, 1933).
suggestion
The original neuropsychological theory of hypnotic suggestion was based upon the ideomotor reflex response that William B. Carpenter declared, in 1852,[1] was the principle through which James Braid's hypnotic phenomena were produced.
Suggestions, however, can also have an effect in the absence of a hypnosis. These so-called "waking suggestions" are given in precisely the same way as "hypnotic suggestions" (i.e., suggestions given within hypnosis) and can produce strong changes in perceptual experience. Experiments on suggestion, in the absence of hypnosis, were conducted by early researchers such as Hull (1933).[7] More recently, researchers such as Nicholas Spanos and Irving Kirsch have conducted experiments investigating such non-hypnotic-suggestibility and found a strong correlation between people's responses to suggestion both in- and outside hypnosis.[8]
In addition to the kinds of suggestion typically delivered by researchers interested in hypnosis there are other forms of suggestibility, though not all are considered interrelated. These include: primary and secondary suggestibility (older terms for non-hypnotic and hypnotic suggestibility respectively), hypnotic suggestibility (i.e., the response to suggestion measured within hypnosis), and interrogative suggestibility (yielding to interrogative questions, and shifting responses when interrogative pressure is applied: see Gudjonsson suggestibility scale. Metaphors and imagery can also be used to deliver suggestion.[citation needed]
If you use a JetBrains IDE, you can view and incorporate suggestions from GitHub Copilot directly within the editor. This guide demonstrates how to use GitHub Copilot within a JetBrains IDE for macOS, Windows, or Linux.
Note: If you have duplication detection enabled for GitHub Copilot, you may receive limited suggestions, or no suggestions, when using the code examples provided. As an alternative, you can start by typing your own code to see suggestions from GitHub Copilot. For more information on duplication detection, see "Configuring GitHub Copilot settings on GitHub.com."
GitHub Copilot provides suggestions for numerous languages and a wide variety of frameworks, but works especially well for Python, JavaScript, TypeScript, Ruby, Go, C# and C++. The following samples are in Java, but other languages will work similarly.
If you use Visual Studio Code, you can view and incorporate suggestions from GitHub Copilot directly within the editor. This guide demonstrates how to use GitHub Copilot within Visual Studio Code for macOS, Windows, or Linux.
GitHub Copilot provides suggestions for numerous languages and a wide variety of frameworks, but works especially well for Python, JavaScript, TypeScript, Ruby, Go, C# and C++. The following samples are in JavaScript, but other languages will work similarly.
It depends on the type of suggestion and award you receive. Some awards can be paid immediately, while others must wait until the first year of net savings can be calculated. Every circumstance is different. The following is a general time frame for award payment:
The Employee Suggestion Award Program (ESAP) provides a way for state employees to submit ideas and suggestions to improve state government operations or services and reduce costs. Cash awards for implemented suggestions with realized savings equal 15% of the annual savings realized in a fiscal year, with a maximum award of $100,000.
What would you be willing to give up if you knew that others are giving up their breaks and the end result would be a much simpler system? What particular provisions of the existing tax system are especially burdensome or seem particularly unfair? Let us know. We track these suggestions and post them periodically, thereby helping to further the cause of tax reform and tax simplification.
We take your comments seriously. All suggestions are reviewed and added to discussions at future meetings of the Taxpayer Advocacy Panel. We thank everyone who has left comments, and encourage others to join this dialogue.
Whether you are a new member of the Reedley College community and feel awkward making a suggestion or a member who has been with Reedley College for some time and would like to share a great idea, this suggestion box is here for you.
The Reedley College Suggestion Box is a way to communicate your ideas to individuals who will share the information with Administrators. Thoughts, ideas, feedback, and suggestions are welcome. This suggestion box is open to all with the sole purpose of improving the quality of the Reedley College experience and of building a sense of community among support staff, faculty, administrators, and students. However, this should not be used to file complaints as there are other mechanisms on-campus as well as on the district website that serve this purpose.
Every suggestion is reviewed by the Office of Experience. A selection of suggestions are then reviewed by and voted on by our Family Advisory Council to determine which ones we might move forward first. While we do our best to implement as many suggestions as possible, we may not be able to act on every one.
Before making a suggestion for purchase of a title, please check our Catalog to verify that the Library does not already own the title. Information from Amazon.com may be helpful in determining if your suggestion is available for purchase.
If an input error is automatically detected and suggestions for correction are known, then the suggestions are provided to the user, unless it would jeopardize the security or purpose of the content.
The intent of this Success Criterion is to ensure that users receive appropriate suggestions for correction of an input error if it is possible. The WCAG 2.0 definition of "input error" says that it is "information provided by the user that is not accepted" by the system. Some examples of information that is not accepted include information that is required but omitted by the user and information that is provided by the user but that falls outside the required data format or allowed values.
In this paper, we analyze the 401(k) savings behavior of employees in a large U.S. corporation before and after an interesting change in the company 401(k) plan. Before the plan change, employees were required to affirmatively elect participation in the 401(k) plan. After the plan change, employees were automatically and immediately enrolled in the 401(k) plan unless they made a negative election to opt out of the plan. Although none of the economic features of the plan changed, this switch to automatic enrollment dramatically changed the savings behavior of employees. We have two key findings. First, 401(k) participation is significantly higher under automatic enrollment. Second, the default contribution rate and investment allocation chosen by the company under automatic enrollment has a strong influence on the savings behavior of 401(k) participants. A substantial fraction of 401(k) participants hired under automatic enrollment exhibit what we call default' behavior--sticking to both the default contribution rate and the default fund allocation even though very few employees hired before automatic enrollment picked this particular outcome. This default' behavior appears to result both from participant inertia and from many employees taking the default as investment advice on the part of the company. Overall, these results are consistent with the notion that large changes in savings behavior can be motivated simply by the power of suggestion.' These findings have important implications for the optimal design of 401(k) savings plans as well as for any type of Social Security reform that includes personal accounts over which individuals have some amount of control. They also shed light more generally on the importance of both economic and non-economic factors in the determination of individual savings behavior.
Two other completion commands, Smart completion Control+Shift+Space and Import Symbol Completion Control+Alt+Space, which are available always, independently of the selected option for standard completion commands, apply advanced algorithms to add more items to the suggestion list.
All of ReSharper's completion shortcuts can be pressed several times in succession. In this case, ReSharper adds even more suggestions to the completion list. For more information, see Double Completion.
As you type, the list of completion suggestions is narrowed down to match your input. If necessary, you can turn this off by clearing the corresponding checkbox on the Environment IntelliSense Completion Behavior page of ReSharper options . You can also specify the initial size of the completion list using the corresponding option on the Environment IntelliSense Completion Appearance page of ReSharper options .
When you select a suggestion in the list, ReSharper displays its summary taken from the XML documentation. You can disable this by clearing the Show summary checkbox on the Environment IntelliSense Completion Appearance page of ReSharper options . 041b061a72