1. A surface treatment agent with photocatalytic and sanitary effects, the agent contains:
water;
10 g to 500 g of TiO2 nanoparticles per 1 liter of water; and
an inorganic binder consisting essentially of ZnO, MgO, CaO, Ca(OH)2, Mg(OH)2, CaCO3, MgCO3, Na2CO3, or K2CO3 or mixtures thereof in the amount of 0.1 to 10 wt % related to the TiO2 weight content.
2. A method of making a surface-treatment agent, the method comprising the steps of:
mixing 10 g to 500 g of TiO2 nanoparticles per 1 liter of water to create a homogeneous aqueous suspension; and
mixing the homogeneous aqueous suspension with a solution or suspension of an inorganic binder consisting essentially of ZnO, MgO, CaO, Ca(OH)2, Mg(OH)2, CaCO3, MgCO3, Na2CO3, or K2CO3 or mixtures thereof in the amount of 0.1 to 10 wt % relative to the TiO2 weight content at a temperature of 5\xb0 C. to 50\xb0 C.
3. The method defined in claim 2, further comprising the step of:
applying the agent to a surface at a temperature of 5\xb0 C. to 50\xb0 C. at a thickness of 1 to 50 micrometers.
4. The method defined in claim 2, further comprising the step of:
applying the agent to a surface at temperature of 5\xb0 C. to 50\xb0 C. at a thickness of 5 to 30 micrometers.
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 system, comprising:
an electronic data storage configured to store content items introduced to a social network by a first user and to store interactions with the content items by second user of the social network; and
a processor, coupled to the electronic data storage, configured to:
determine an influence of the first user based, at least in part, on the interaction by the second user with at least one of the content items as introduced by the first user and a characteristic of the second user; and
cause an indication of the influence of the first user to be displayed on a user interface.
2. The system of claim 1, wherein the characteristic of the second user is at least one of an occupation, a title, an educational background, an industry, a skill, a company, an organization, a demographic characteristic, an age, a gender, a location, and an influence status.
3. The system of claim 2, wherein the influence of the first user is determined based on characteristics of a plurality of second users who have interacted with the at least one of the content items.
4. The system of claim 1, wherein the influence of the first user is determined based, at least in part, on an influence of the second user.
5. The system of claim 1, wherein the influence of the first user is further determined based, at least in part, on a characteristic of the first user.
6. The system of claim 5, wherein the characteristic of the first user is at least one of an occupation, a title, an educational background, an industry, a skill, a company, an organization, a demographic characteristic, an age, a gender, a location, and an influence status.
7. The system of claim 1, wherein the influence of the first user is further determined based, at least in part, on a number of connections of the first user in the social network.
8. The system of claim 1, wherein the influence of the first user is determined based, at least in part, on a number of interactions with at least one of the content items by a plurality of second users.
9. The system of claim 1, wherein the interaction is at least one of accessing the content item, an indication of approval of the content item, a comment on the content item, a reposting or sharing of the content item, and forwarding the content item outside of the social network.
10. The system of claim 1, wherein the influence of the first user is determined based on the interaction of the second user and a weighted average of at least some of a characteristic of the first user, a number of connections of the first user, and a number of interactions with at least one of the content items by a plurality of second users.
11. A method, comprising:
determining, with a processor, an influence of a first user based, at least in part, on: an interaction by the second user with at least one of a plurality of content items introduced to a social network and stored on a database by the first user; and a characteristic of the second user; and
causing, with the processor, an indication of the influence of the first user to be displayed on a user interface.
12. The method of claim 11, wherein the characteristic of the second user is at least one of an occupation, a title, an educational background, an industry, a skill, a company, an organization, a demographic characteristic, an age, a gender, a location, and an influence status.
13. The method of claim 12, wherein the influence of the first user is determined based on characteristics of a plurality of second users who have interacted with the at least one of the content items.
14. The method of claim 11, wherein the influence of the first user is determined based, at least in part, on an influence of the second user.
15. The method of claim 11, wherein the influence of the first user is further determined based, at least in part, on a characteristic of the first user.
16. The method of claim 15, wherein the characteristic of the first user is at least one of an occupation, a title, an educational background, an industry, a skill, a company, an organization, a demographic characteristic, an age, a gender, a location, and an influence status.
17. The method of claim 11, wherein the influence of the first user is further determined based, at least in part, on a number of connections of the first user in the social network.
18. The method of claim 11, wherein the influence of the first user is determined based, at least in part, on a number of interactions with at least one of the content items by a plurality of second users.
19. The method of claim 11, wherein the interaction is at least one of accessing the content item, an indication of approval of the content item, a comment on the content item, a reposting or sharing of the content item, and forwarding the content item outside of the social network.
20. The method of claim 11, wherein the influence of the first user is determined based on the interaction of the second user and a weighted average of at least some of a characteristic of the first user, a number of connections of the first user, and a number of interactions with at least one of the content items by a plurality of second users.