All The Claims

1. A method of treating breast cancer or tumor comprising administering, to a subject in need of such treatment, an effective amount of a PKC-iota inhibitor, and, optionally, a pharmaceutical acceptable carrier.
2. The method according to claim 1, wherein the subject is a human.
3. The method according to claim 1, wherein the PKC-iota inhibitor is selected from:
a) a compound of Formula (I) or a salt thereof, wherein the compound of formula (I) is:
wherein R1 and R2 are, independently, \u2014NH2 or alkylamino, and
wherein R3 and R4 are, independently, \u2014H, \u2014OH, alkoxy, or \u2014OC(O)R\u2032,
wherein R\u2032 is a linear saturated monovalent radical of one to eight carbon atoms or a branched saturated monovalent of three to eight carbon atoms;
b) an antibody, aptamer, or binding partner that binds specifically to PKC-\u03b9, or a fusion construct comprising said antibody, aptamer, or binding partner; or
c) an antisense polynucleotide that specifically targets PKC-\u03b9 mRNA.
4. The method of claim 3, wherein the PKC-iota inhibitor is a compound of Formula (I), or a salt thereof.
5. The method of claim 4, wherein the PKC-iota inhibitor is (1H-imidazole-4-carboxamide,5-amino-1-2,3-dihydroxy-4-(phosphonooxy)methylcyclopentyl-,1R-(1\u03b1, 2\u03b2, 3\u03b2, 4\u03b1) (ICA-1), or a salt thereof.
6. The method of claim 3, wherein the PKC-iota inhibitor is an antibody that binds specifically to a PKC-\u03b9 polypeptide comprising an amino acid sequence having at least 90% identity to SEQ ID NO:1, wherein the PKC-\u03b9 polypeptide comprises a catalytic domain that is amino acid residues 469-475 of SEQ ID NO:1 (glutamine-469, isoleucine-470, arginine-471, isoleucine-472, proline-473, arginine-474, serine- 475).
7. The method of claim 6, wherein the PKC-\u03b9 polypeptide comprises SEQ ID NO:1.
8. The method of claim 3, wherein the PKC-iota inhibitor is an antisense polynucleotide that specifically targets PKC-\u03b9 mRNA, wherein the PKC-\u03b9 mRNA encodes a PKC-\u03b9 polypeptide comprising an amino acid sequence having at least 90% identity to SEQ ID NO:1, wherein the PKC-\u03b9 polypeptide comprises a catalytic domain that is amino acid residues 469-475 of SEQ ID NO:1 (glutamine-469, isoleucine-470, arginine-471, isoleucine-472, proline-473, arginine-474, serine- 475).
9. The method of claim 8, wherein the PKC-\u03b9 polypeptide comprises SEQ ID NO:1.
10. The method of claim 1, wherein the subject has breast cancer.
11. The method of claim 10, wherein the subject has ductal carcinoma in-situ (DCIS), invasive ductal carcinoma (IDC), lobular carcinoma in-situ (LCIS), invasive lobular carcinoma (LCIS), medullary carcinoma, malignant phyllode tumor, tubular carcinoma, mucinous carcinoma, metastatic adenocarcinoma, or inflammatory breast cancer.
12. The method of claim 11, wherein the subject has invasive ductal carcinoma, invasive lobular carcinoma, or metastatic adenocarcinoma.
13. A method of inhibiting proliferation of breast cancer or tumor cells, comprising administering to the breast cancer or tumor cells an effective amount of a PKC-iota inhibitor, and optionally, a pharmaceutically acceptable carrier.
14. The method according to claim 13, wherein the PKC-iota inhibitor is selected from:
a) a compound of formula (I) or a salt thereof, wherein the compound of formula (I) is:
wherein R1 and R2 are, independently, \u2014NH2 or alkylamino, and
wherein R3 and R4 are, independently, \u2014H, \u2014OH, alkoxy, or \u2014OC(O)R\u2032,
wherein R\u2032 is a linear saturated monovalent radical of one to eight carbon atoms or a branched saturated monovalent of three to eight carbon atoms;
b) an antibody, aptamer, or binding partner that binds specifically to PKC-\u03b9, or a fusion construct comprising said antibody, aptamer, or binding partner; or
c) an antisense polynucleotide that specifically targets PKC-\u03b9 mRNA.
15. The method of claim 14, wherein the PKC-iota inhibitor is a compound of Formula (I), or a salt thereof.
16. The method of claim 15, wherein the PKC-iota inhibitor is (1H-imidazole-4-carboxamide, 5-amino-1-2,3 -dihydroxy-4-(phosphonooxy) methylcyclopentyl1R-(1\u03b1, 2\u03b2, 3\u03b2, 4\u03b1) (ICA-1), or a salt thereof.
17. The method of claim 14, wherein the PKC-iota inhibitor is an antibody that binds specifically to a PKC-\u03b9 polypeptide comprising an amino acid sequence having at least 90% identity to SEQ ID NO:1, wherein the PKC-\u03b9 polypeptide comprises a catalytic domain that is amino acid residues 469-475 of SEQ ID NO:1 (glutamine-469, isoleucine-470, arginine-471, isoleucine-472, proline-473, arginine-474, serine- 475).
18. The method of claim 14, wherein the PKC-iota inhibitor is an antisense polynucleotide that specifically targets PKC-\u03b9 mRNA, wherein the PKC-\u03b9 mRNA encodes a PKC-\u03b9 polypeptide comprising an amino acid sequence having at least 90% identity to SEQ ID NO:1, wherein the PKC-\u03b9 polypeptide comprises a catalytic domain that is amino acid residues 469-475 of SEQ ID NO:1 (glutamine-469, isoleucine-470, arginine-471, isoleucine-472, proline-473, arginine-474, serine- 475).
19. The method of claim 13, wherein the breast cancer or tumor cells are of human origin.
20. The method of claim 19, wherein the breast cancer or tumor cells are selected from non-invasive ductal carcinoma cells, invasive ductal carcinoma cells, non-invasive lobular carcinoma cells, invasive lobular carcinoma cells, medullary carcinoma cells, malignant phyllode tumor cells, tubular carcinoma cells, mucinous carcinoma cells, metastatic adenocarcinoma cells, or inflammatory breast cancer cells.

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 non-aqueous capacitor comprising an electrode unit composed of collectors, electrodes and separators, and an electrolytic solution, which are contained and sealed in a case, characterized in that each of the collectors, electrodes and separators is made of the material(s) having a melting point or pyrolysis-initiating temperature (where melting point is not expressed) not lower than 280\xb0 C., and that the electrode unit is dried after its assembling, at a temperature not lower than the lowest of the melting points or pyrolysis-initiating temperatures of the materials constituting the electrode unit, by 100\xb0 C.
2. A non-aqueous capacitor according to claim 1, in which each of the collectors, electrodes and separators is made of the materials having a melting point or pyrolysis-initiating temperature (where melting point is not expressed) not lower than 320\xb0 C.
3. A non-aqueous capacitor according to claim 1, in which the electrode unit is the one dried after its assembling, at a temperature not lower than the lowest of the melting points or pyrolysis-initiating temperatures (where melting point is not expressed) of the materials constituting the electrode unit by 50\xb0 C.
4. A non-aqueous capacitor according to claim 1, in which the drying temperature is within a range not higher than 30\xb0 C. below the lowest of the melting points or pyrolysis-initiating temperatures (where melting point is not expressed) of the materials used in the collectors, electrodes and separators which constitute the electrode unit, but not lower than the said lowest temperature by 100\xb0 C.
5. A non-aqueous capacitor according to claim 4, in which the drying temperature is within a range not higher than 30\xb0 C. below the lowest of the melting points or pyrolysis-initiating temperatures (where melting point is not expressed) of the materials used in the collectors, electrodes and separators which constitute the electrode unit, but not lower than the said lowest temperature by 50\xb0 C.
6. A non-aqueous capacitor according to claim 1, in which the water content of the electrode after the drying is not more than 1700 ppm.
7. A non-aqueous capacitor according to claim 1, which has a capacity retention, after being kept in floating condition at a voltage of 2.8 V and a temperature of 70\xb0 C. for 500 hours, of at least 70%.
8. A method of manufacturing a non-aqueous capacitor comprising an electrode unit which is composed of collectors, electrodes and separators, the method being characterized by making each of the collectors, electrodes and separators of the materials having a melting point or pyrolysis-initiating temperature (where melting point is not expressed) not lower than 280\xb0 C., drying the electrode unit after its assembling at a temperature not lower than the lowest of the melting points or pyrolysis-initiating temperatures of the materials by 100\xb0 C., putting the dried electrode unit in a case, pouring an electrolytic solution thereinto and sealing the case.
9. The method according to claim 8, in which the drying is carried out until water content of the electrode becomes no more than 1700 ppm.

1. A processor-implemented static branch prediction method for a pipeline processor, the method comprising:
predicting a conditional branch code as taken or not-taken;
converting the conditional branch code into a jump target address setting (JTS) code including target address information, branch time information, and a test code;
scheduling the JTS code and the test code in a block such that the test code is scheduled into a last slot of the block and the JTS code is scheduled into an empty slot of the block, after scheduling all other codes in the block; and
fetching a target address indicated by the target address information at a cycle time indicated by the branch time information when the conditional branch code is predicted as taken.
2. The static branch prediction method of claim 1, further comprising executing the test code to determine if the conditional branch code prediction is true.
3. The static branch prediction method of claim 2, further comprising processing the codes fetched in the fetch operation as they are when it is determined that the prediction is true, and flushing all the codes fetched in the fetch operation when it is determined that the prediction is false.
4. The static branch prediction method of claim 1, wherein the cycle time indicated by the branch time information is next to a cycle time at which the test code is fetched.
5. The static branch prediction method of claim 1, wherein the JTS code further includes prediction information, and the prediction information is used to determine whether the conditional branch prediction is true.
6. The static branch prediction method of claim 1, further comprising:
when the conditional branch code is predicted as not-taken, fetching an address of a block next to the current block after fetching the test code; and
processing the codes fetched in the fetch operation as they are when it is determined by executing the test code that the prediction is true, and flushing all the codes fetched in the fetch operation and fetching the target address indicated by the target address information of the JTS code, when it is determined that the prediction is false.
7. A code compiling method executed by a processor for static branch prediction, the method comprising:
converting a conditional branch code into a jump target address setting (JTS) code including target address information, branch time information, and a test code; and
scheduling all codes in a block including scheduling the test code into a last slot of the block and scheduling the JTS code into an empty slot, after scheduling all the other codes in the block.
8. The code compiling method of claim 7, wherein the JTS code further includes prediction information indicating taken or not-taken.
9. The code compiling method of claim 8, wherein when the prediction information indicates taken, and the branch time information indicates a cycle time at which a target block indicated by the target address information is fetched.
10. The code compiling method of claim 9, wherein the cycle time at which the target block is fetched is next to a cycle time at which the test code is fetched.
11. The code compiling method of claim 7, wherein the last slot of the block is other than an empty slot of the block.
12. A processor-implemented code execution method for a pipeline processor, the method comprising:
converting a conditional branch code into a jump target address setting (JTS) code including target address information and branch time information;
scheduling the JTS code into an empty slot of a block obtained after all other codes in the block are scheduled; and
fetching a target address indicated by the target address information at a cycle time indicated by the branch time information.

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 automatically generating analytical reports of patent bibliographic data comprising:
a statistical step for patent bibliographic data, which implements statistical investigation on patent bibliographic data of specific patents;
an analytical step for the patent bibliographic data, which analyzes statistical results from the aforesaid statistical step;
characterized in that:
further comprising a reports-generating step, which converts the statistical andor analytical results into analytical reports; and

the statistical step, the analytical step, and the reports-generating step are automatically generated by an automated apparatus.
2. The method of claim 1, wherein the reports-generating step comprises a secondary step of completing contents of statisticsanalyses, or the analytical step for the patent bibliographic data comprises secondary steps of an integrated analyses and discussions, wherein said secondary step of completing contents of statisticsanalyses combines results from the analytical step for the patent bibliographic data to form contents of statisticsanalyses in the analytical reports; said secondary step of integrated analyses combines multiple analytical results into a discussion group, and do statisticsanalyze similarity of the multiple analytical results of the group; said secondary step of discussions discusses results from integrated statisticsanalyses, so as to obtain a basis for discussions of the analytical reports, and the secondary steps of completing contents of statisticsanalyses, integrated analyses and discussions are executed by an automated apparatus.
3. The method of claim 2, wherein the reports-generating step further comprises a secondary step of completing discussions which combine an integrated statisticalanalyses results from the secondary step of integrated analyses andor discussion results form the secondary step of discussions to form integrated analytical contents andor discussion results in the analytical reports, and the secondary step of completing discussions is executed by an automated apparatus.
4. The method of claim 2, wherein the analytical step for the patent bibliographic data comprises secondary steps of conclusion andor recommendation, wherein the secondary step of conclusion makes conclusions based on results of the integrated statisticsanalyses andor results of the discussions; and the secondary step of recommendation makes recommendations based on results of the integrated statisticsanalyses andor results of the discussions, and the secondary steps of conclusion and recommendation are executed by an automated apparatus.
5. The method of claim 2, wherein the reports-generating step comprises secondary steps of completing conclusions andor recommendations, wherein the secondary step of completing conclusions combines results of the integrated statisticsanalyses andor results of the discussions to form contents of conclusions in the analytical reports; and the secondary step of completing recommendations combines results of the integrated statisticsanalyses andor results of the discussions to form contents of recommendations in the analytical reports, and the secondary steps of completing conclusions and recommendations are executed by an automated apparatus.
6. The method of claim 1 further comprising a language selection step which allows a user to select a language in which the analytical reports are presented.
7. The method of claim 1, wherein the automated apparatus is a computer.
8. A system for automatically analyzing patent bibliographic data comprising:
an automated apparatus; and
a software application for automatically analyzing patent bibliographic data, such that said automated apparatus can automatically do statisticsanalyses to patent bibliographic data waiting for analysis, and automatically generate analytical reports of patent bibliographic data thereafter;
characterized in that:
the software application comprises:
a statistical step, which implements statistical investigation on patent bibliographic data of specific patents;
an analytical step, which analyzes statistical results from said statistical step;
a reports-generating step, which converts the statistical andor analytical results into analytical reports; and
said statistical step, said analytical step, and said reports-generating step are automatically generated by said automated apparatus.
9. The system of claim 8, wherein the reports-generating step comprises a secondary step of completing contents of statisticsanalyses, or the analytical step for the patent bibliographic data comprises secondary steps of an integrated analyses and discussions, wherein said secondary step of completing contents of statisticsanalyses combines results from the analytical step for the patent bibliographic data to form contents of statisticsanalyses in the analytical reports; said secondary step of integrated analyses combines multiple analytical results into a discussion group, and do statisticsanalyze similarity of the multiple analytical results of the group; said secondary step of discussions discusses results from integrated statisticsanalyses, so as to obtain a basis for discussions of the analytical reports, and the secondary steps of completing contents of statisticsanalyses, integrated analyses and discussions are executed by an automated apparatus.
10. The system of claim 9, wherein the reports-generating step further comprises a secondary step of completing discussions which combine an integrated statisticalanalyses results from the secondary step of integrated analyses andor discussion results form the secondary step of discussions to form integrated analytical contents andor discussion results in the analytical reports, and the secondary step of completing discussions is executed by an automated apparatus.
11. The system of claim 9, wherein the analytical step for the patent bibliographic data comprises secondary steps of conclusion andor recommendation, wherein the secondary step of conclusion makes conclusions based on results of the integrated statisticsanalyses andor results of the discussions; and the secondary step of recommendation makes recommendations based on results of the integrated statisticsanalyses andor results of the discussions, and the secondary steps of conclusion and recommendation are executed by an automated apparatus.
12. The system of claim 9, wherein the reports-generating step comprises secondary steps of completing conclusions andor recommendations, wherein the secondary step of completing conclusions combines results of the integrated statisticsanalyses andor results of the discussions to form contents of conclusions in the analytical reports; and the secondary step of completing recommendations combines results of the integrated statisticsanalyses andor results of the discussions to form contents of recommendations in the analytical reports, and the secondary steps of completing conclusions and recommendations are executed by an automated apparatus.
13. The system of claim 8, wherein the software application further comprises a language selection step which allows a user to select a language in which the analytical reports are presented.
14. The system of claim 8, wherein the automated apparatus is a computer.
15. A computer storage medium for storing application commands for allowing an automated system to automatically analyze patent bibliographic data, and the application commands allow for automatic analysis of patent bibliographic data by comprising:
a statistical step, which implements statistical investigation on patent bibliographic data of specific patents;
an analytical step, which analyzes the statistical results from the aforesaid statistical step;
characterized in that:
further comprising a reports-generating step, which converts the statistical andor analytical results into analytical reports.
16. The computer storage medium of claim 15, wherein the reports-generating step comprises a secondary step of completing contents of statisticsanalyses, or the analytical step for the patent bibliographic data comprises secondary steps of an integrated analyses and discussions, wherein said secondary step of completing contents of statisticsanalyses combines results from the analytical step for the patent bibliographic data to form contents of statisticsanalyses in the analytical reports; said secondary step of integrated analyses combines multiple analytical results into a discussion group, and do statisticsanalyze similarity of the multiple analytical results of the group; said secondary step of discussions discusses results from integrated statisticsanalyses, so as to obtain a basis for discussions of the analytical reports, and the secondary steps of completing contents of statisticsanalyses, integrated analyses and discussions are executed by an automated apparatus.
17. The computer storage medium of claim 16, wherein the reports-generating step further comprises a secondary step of completing discussions which combine an integrated statisticalanalyses results from the secondary step of integrated analyses andor discussion results form the secondary step of discussions to form integrated analytical contents andor discussion results in the analytical reports, and the secondary step of completing discussions is executed by an automated apparatus.
18. The computer storage medium of claim 16, wherein the analytical step for the patent bibliographic data comprises secondary steps of conclusion andor recommendation, wherein the secondary step of conclusion makes conclusions based on results of the integrated statisticsanalyses andor results of the discussions; and the secondary step of recommendation makes recommendations based on results of the integrated statisticsanalyses andor results of the discussions, and the secondary steps of conclusion and recommendation are executed by an automated apparatus.
19. The computer storage medium of claim 16, wherein the reports-generating step comprises secondary steps of completing conclusions andor recommendations, wherein the secondary step of completing conclusions combines results of the integrated statisticsanalyses andor results of the discussions to form contents of conclusions in the analytical reports; and the secondary step of completing recommendations combines results of the integrated statisticsanalyses andor results of the discussions to form contents of recommendations in the analytical reports, and the secondary steps of completing conclusions and recommendations are executed by an automated apparatus.
20. The computer storage medium of claim 15, wherein the application commands further comprise a language selection step which allows a user to select a language in which the analytical reports are presented.
21. The computer storage medium of claim 15, wherein the automated apparatus is a computer.