1. A method for producing an insulated electric wire, the method comprising:
a first step of processing a copper alloy containing a tin and inevitable impurities into a fine wire having a diameter of 0.21 mm\xb10.008 mm, the tin being 0.30 wt % or more and 0.39 wt % or less;
a second step of annealing the fine wire obtained in the first step so as to refine the fie wire to have an extension coefficient of 10% or more and 25% or less and a tensile strength of 300 MPa or more and 400 MPa or less; and
a third step of twisting the seven fine wires having undergone the second step with a twist pitch of 15 mm\xb16 mm.
2. The method according to claim 1, further comprising:
a fourth step of making a twisted wire obtained through the third step insulation-coated with a polyvinyl chloride resin composition having a smoking temperature of 170 degrees with a thickness of 0.27 mm or more and 0.35 mm or less, making the insulated electric wire to have a finishing outer diameter of 1.2 mm.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. A method for identifying transactions for a business, said method comprising:
determining a set of one or more data points without values,
displaying a set of one or more questions to a user,
wherein said set of one or more questions is intended to ascertain values for one or more data points about said user’s business;
receiving a response to said set of one or more questions from said user;
creating a set of valued data points from said set of one or more data points without values based at least in part on said response to said set of one or more questions;
determining a business profile based on said set of valued data points;
determining one or more potential transactions based upon said business profile; and
communicating, to said user, information related to said one or more potential transactions.
2. The method of claim 1, further comprising the steps of:
determining a second set of one or more data points without values;
displaying to said user a second set of one or more questions,
wherein said second set of one or more questions is at least partially determined from said response from said user;
receiving a second response to said second set of one or more questions from said user;
creating a second set of valued data points from said second set of one or more data points without values based on said second response; and
updating said business profile with said second set of valued data points.
3. The method of claim 1, wherein said data points are comprised of objective information.
4. The method of claim 1, wherein said data points are comprised of subjective information.
5. The method of claim 1, wherein said set of one or more questions is determined utilizing probabilistic matching techniques.
6. The method of claim 1, wherein said set of one or more questions is determined utilizing deterministic matching techniques.
7. The method of claim 1, wherein said determination of said one or more potential transactions utilizes historical transaction data.
8. The method of claim 1, wherein said set of valued data points is comprised of one or more data points with weighted values.
9. The method of claim 1, wherein said information is comprised of one or more transaction rationales for each of said one or more potentially beneficial transactions.
10. A method for identifying beneficial transaction types, said method comprising:
determining a set of one or more data points without values,
displaying a first set of one or more questions to a user,
wherein said first set of one or more questions is intended to ascertain values for one or more data points about said user’s business;
receiving a response to said first set of one or more questions from said user;
creating a set of valued data points from said set of one or more data points without values based at least in part on said response to said first set of one or more questions;
determining one or more potentially beneficial transaction types based at least in part on said responses to said set of valued data points;
determining a second set of one or more questions, wherein said second set of one or more questions is intended to lead said user towards selecting one of said one or more potentially beneficial transaction types;
displaying said second set of one or more questions to user.
11. The method of claim 10, wherein said data points are comprised of objective information.
12. The method of claim 10, wherein said data points are comprised of subjective information.
13. The method of claim 10, wherein said set first set of one or more questions is determined utilizing probabilistic matching techniques.
14. The method of claim 10, wherein said first set of one or more questions is determined utilizing deterministic matching techniques.
15. The method of claim 10, wherein said determination of said one or more potentially beneficial transaction types utilizes historical transaction data.
16. The method of claim 10, wherein said set of valued data points is comprised of one or more data points with weighted values.
17. The method of claim 10, wherein said information is comprised of one or more transaction type rationales for each of said one or more potentially beneficial transaction types.