All The Claims

What is claimed is:

1. An indole compound represented by the following formula (I), its pharmacologically acceptable salt or hydrates thereof:
17
wherein R1 represents hydrogen atom, a halogen atom or cyano group;
R2 and R3 are the same as or different from each other and each represents a hydrogen atom, a C1-C4 lower alkyl group or a halogen atom;
R4 represents a hydrogen atom or a C1-C4 lower alkyl group; and
the ring A represents an aminopyrimidyl group wherein (i) all of R1, R2 and R3 are not hydrogen atoms or (ii) both R2 and R3 are not hydrogen atoms.
2. The indole compound as claimed in claim 1, its pharmacologically acceptable salt or hydrates thereof, wherein two of R1, R2 and R3 are not hydrogen atoms.
3. The indole compound as claimed in claim 1 or 2, its pharmacologically acceptable salt or hydrates thereof, wherein the ring A is 2-amino-5-pyrimidyl group.
4. The indole compound as claimed in claim 1, wherein said indole compound is 2-amino-N-(4-bromo-3-chloro-1H-indol-7-yl)-5-pyrimidinesulfonamide, its pharmacologically acceptable salts or hydrates thereof.
5. An antiangiogenic compound which comprises an effective amount of the indole compound as claimed in claim 1, its pharmacologically acceptable salt or hydrates thereof.
6. An antitumor compound for pancreatic, colon, gastric, breast, prostate, lung, or ovarian cancer, said antitumor compound comprising an effective amount of the indole compound in claim 1, its pharmacologically acceptable salt or hydrates thereof.
7. A method for treating a disease against which an inhibitory effect of angiogenesis at the site of a tumor from pancreatic, colon, gastric, breast, prostate, lung, or ovarian cancer, rheumatic arthritis or diabetic retinopathy is effective for the treatment thereof, by administering an effective amount of the indole compound as claimed in claim 1, its pharmacologically acceptable salt or hydrates thereof to a patient.
8. A therapeutic compound for pancreatic cancer which comprises the indole compound as claimed in claim 1, its pharmacologically acceptable salt or hydrates thereof as an effective ingredient.
9. A therapeutic compound for cancer of the colon which comprises the indole compound as claimed in claim 1, its pharmacologically acceptable salt or hydrates thereof as an effective ingredient.
10. A therapeutic compound for gastric cancer which comprises the indole compound as claimed in claim 1, its pharmacologically acceptable salt or hydrates thereof as an effective ingredient.
11. A therapeutic compound for breast cancer which comprises the indole compound as claimed in claim 1, its pharmacologically acceptable salt or hydrates thereof as an effective ingredient.
12. A therapeutic compound for prostatic cancer which comprises the indole compound as claimed in claim 1, its pharmacologically acceptable salt or hydrates thereof as an effective ingredient.
13. A therapeutic compound for lung cancer which comprises the indole compound as claimed in claim 1, its pharmacologically acceptable salt or hydrates thereof as an effective ingredient.
14. A therapeutic compound for ovarian cancer which comprises the indole compound as claimed in claim 1, its pharmacologically acceptable salt or hydrates thereof as an effective ingredient.
15. A suppressor for metastasis of cancer which comprises the indole compound as claimed in claim 1, its pharmacologically acceptable salt or hydrates thereof as an effective ingredient.
16. A therapeutic compound for diabetic retinopathy which comprises the indole compound as claimed in claim 1, its pharmacologically acceptable salt or hydrates thereof as an effective ingredient.
17. A therapeutic compound for rheumatic arthritis which comprises the indole compound as claimed in claim 1, its pharmacologically acceptable salt or hydrates thereof as an effective ingredient.
18. A therapeutic compound for hematoma which comprises the indole compound as claimed in claim 1, its pharmacologically acceptable salt or hydrates thereof as an effective ingredient.
19. The method as claimed in claim 7, wherein the disease is tumor, pancreatic cancer, cancer of the colon, gastric cancer, breast cancer, prostatic cancer, lung cancer, ovarian cancer, metastasis of cancer, diabetic retinopathy, rheumatic arthritis or hematoma.

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 pig launching apparatus comprising:
a housing;
a plurality of pigs initially attached to each other for placement in said housing; and
a separator device to release one pig for launching.
2. The apparatus of claim 1, wherein:
said pigs are attached to each other at a predetermined distance.
3. The apparatus of claim 2, wherein:
said housing is configured to stop the advancement of lowermost pig at a location where said separation device can separate one pig from 4 another.
4. The apparatus of claim 3, wherein:
said configuration of said housing comprises a taper.
5. The apparatus of claim 4, wherein:
said pigs are separated from each other by a member which is exposed between each pair of pigs.
6. The apparatus of claim 5, wherein:
said separation device selectively severs said member.
7. The apparatus of claim 6, wherein:
said separation device is operable form a closed position where it supports all unlaunched pigs followed by an open position where it allows for one pig to drop onto said taper, followed by a closed position where said member is severed behind the pig resting on said taper.
8. The apparatus of claim 7, further comprising:
a weight on said pigs to assist them into dropping down toward said taper.
9. The apparatus of claim 8, further comprising:
at least one connection on said housing which can be made or released with an ROV.
10. The apparatus of claim 1, wherein:
said attachment of said pigs is accomplished by a member, a portion of which is exposed between said pigs.
11. The apparatus of claim 10, wherein:
said member is aligned with said separation device after said separation device is retracted which allows said pigs to advance in tandem by a predetermined amount.
12. The apparatus of claim 11, wherein:
said separation device shears said member above the lowermost pig to allow said lowermost pig to be launched.
13. The apparatus of claim 12, further comprising:
a taper on said housing to stop the lowermost pig with said member aligned with said separation device.
14. A pig launching apparatus, comprising:
a housing;
a plurality of undirectional pigs insertable in said housing for launching one at a time.
15. The apparatus of claim 14, further comprising:
a separating device to separate one pig from other pigs for launching.
16. The apparatus of claim 15, wherein:
said separating device functions as a pressure isolation valve.
17. The apparatus of claim 16 further comprising:
attaching a plurality of pigs to each other.
18. The apparatus of claim 17, wherein:
said separation device selectively breaks the attachment between two pigs.
19. The apparatus of claim 14, further comprising:
a cartridge to support said pigs which can be inserted by an ROV into said housing to load said pigs therein.

1. A computer system for data processing relating to a nurse intervention program for insurance claims, comprising:
a nurse intervention program referral determination computer system, comprising:
a data storage device storing data indicative of a trained predictive model configured to determine, based on insurance claim transaction data, a nurse intervention program score, the score indicative of a likelihood of suitability for nurse intervention of insurance claim transactions;
one or more computer processors in communication with the data storage device; and
a program memory, coupled to the one or more computer processors, storing program instruction steps for execution by the one or more computer processors, the program instructions, when executed by the one or more computer processors, causing the one or more computer processors to:
receive data indicative of an insurance claim transaction, the data comprising at least injury data, employee occupation data, and co-morbidity data;
apply the predictive model to the received data indicative of an insurance claim transaction to determine a nurse intervention program score, the predictive model being responsive to values of each of injury, occupation, and co-morbidity data; and
based on the nurse intervention program score, determine a positive or negative nurse intervention program recommendation;
responsive to a positive nurse intervention program recommendation, output data relating to the received insurance claim transaction; and
a nurse intervention program computer in communication with the nurse intervention program referral determination computer system and configured to receive the data relating to the received insurance claim transaction output responsive to the positive nurse intervention program recommendation.
2. The computer system of claim 1, wherein the co-morbidity data comprises at least one of (i) alcohol related co-morbidity information, (ii) drug related co-morbidity information, (iii) tobacco related co-morbidity information, (iv) arthritis related co-morbidity information, (v) diabetes related co-morbidity information, or (vi) obesity related co-morbidity information.
3. The computer system of claim 1, wherein the received data indicative of an insurance claim transaction further comprises prior injury data, and the predictive model is further responsive to values of prior injury data.
4. The computer system of claim 1, wherein the received data indicative of an insurance claim transaction further comprises reserve data, and the predictive model is further responsive to values of reserve data.
5. The computer system of claim 1, wherein the program instructions, when executed by the one or more computer processors, further cause the one or more computer processors to:
after receipt of the data indicative of an insurance claim transaction, and prior to applying the predictive model to the received data, determine whether the insurance claim transaction is in a category that does not qualify for consideration for referral to a nurse intervention program; and
apply the predictive model to the received data indicative of an insurance claim transaction only responsive to determining that the insurance claim transaction is not in a category that does not qualify for consideration for referral to a nurse intervention program.
6. The computer system of claim 5, wherein a category of insurance claim transaction that does not qualify for consideration for referral to a nurse intervention program comprises a workers compensation claim arising from loss of life on the job.
7. The computer system of claim 1, wherein the program instructions, when executed by the one or more computer processors, further cause the one or more computer processors to:
determine a positive or negative nurse intervention program recommendation by comparing the nurse intervention program score to a threshold value.
8. The computer system of claim 1, wherein the program instructions, when executed by the one or more computer processors, further cause the one or more computer processors to:
include, in the output data, data causing the received insurance claim transaction to be queued in a case manager queue according to the nurse intervention program score.
9. The computer system of claim 1, wherein the insurance claim transactions are worker’s compensation claims.
10. The computer system of claim 1, wherein the insurance claim transactions are bodily injury claims.
11. A computer-implemented method for processing data related to a nurse intervention program for insurance claims, comprising:
storing, in a data storage device, data indicative of a trained predictive model configured to determine, based on insurance claim transaction data, a nurse intervention program score, the score indicative of a likelihood of suitability for nurse intervention of the received insurance claim transactions;
receiving, by one or more computer processors of a nurse intervention program referral determination computer system, data indicative of an insurance claim transaction, the data comprising at least injury data, employee occupation data, and co-morbidity data;
applying, by the one or more computer processors of the nurse intervention program referral determination computer system, the predictive model to the received data indicative of an insurance claim transaction to determine a nurse intervention program score, the predictive model being responsive to values of each of injury, occupation, and co-morbidity data; and
based on the nurse intervention program score, determining, by the one or more computer processors of the nurse intervention program referral determination computer system, a positive or negative nurse intervention program recommendation;
responsive to a positive nurse intervention program recommendation, outputting, by the one or more computer processors of the nurse intervention program referral determination computer system, data relating to the received insurance claim transaction; and
receiving, by a nurse intervention program computer in communication with the nurse intervention program referral determination computer system, the output data relating to the received insurance claim transaction.
12. The computer-implemented method of claim 11, wherein the co-morbidity data comprises at least one of (i) alcohol related co-morbidity information, (ii) drug related co-morbidity information, (iii) tobacco related co-morbidity information, (iv) arthritis related co-morbidity information, (v) diabetes related co-morbidity information, or (vi) obesity related co-morbidity information.
13. The computer-implemented method of claim 11, wherein the received data indicative of an insurance claim transaction further comprises prior injury data, and the predictive model is further responsive to values of prior injury data.
14. The computer-implemented method of claim 11, further comprising:
after receipt of the data indicative of an insurance claim transaction, and prior to applying the predictive model to the received data, determining whether the insurance claim transaction is in a category that does not qualify for consideration for referral to a nurse intervention program; and
assigning the insurance claim transaction data to a queue of transactions for application of a predictive model only responsive to determining that the insurance claim transaction is not in a category that does not qualify for consideration for referral to a nurse intervention program.
15. The computer-implemented method of claim 14, wherein a category of claims that does not qualify for consideration for referral to a nurse intervention program is a category comprising claims of an employer account not providing for nurse intervention.
16. The computer-implemented method of claim 11, wherein the predictive model is configured to weight key factors more highly than other factors, and wherein key factors for a back injury comprise nature of injury data and part of body data.
17. A non-transitory computer-readable medium, storing computer-executable instructions thereon, which instructions, when executed by one or more computer processors, cause the one or more processors to:
receive data indicative of an insurance claim transaction, the data comprising at least injury data, employee occupation data, and co-morbidity data;
apply a trained predictive model to the received data indicative of an insurance claim transaction to determine a nurse intervention program score, the score being indicative of a likelihood of suitability for nurse intervention of insurance claim transactions, and the predictive model being responsive to values of each of POB, NOI, occupation, and co-morbidity data; and
based on the nurse intervention program score, determine a positive or negative nurse intervention program recommendation; and
responsive to a positive nurse intervention program recommendation, output data relating to the received insurance claim transaction.
18. The non-transitory computer-readable medium of claim 17, wherein the instructions, when executed by one or more processors, further cause the one or more processors to:
provide a notification to a claim handler to whom the insurance claim transaction was assigned of referral of the insurance claim transaction to a nurse intervention program.
19. The non-transitory computer-readable medium of claim 17, wherein the injury data comprises at least part of body injured data and nature of injury data.
20. The non-transitory computer-readable medium of claim 17, wherein the nurse intervention program score has binary values, one value of the score indicating that the insurance claim transaction is suitable for a nurse intervention program, and the other value of the score indicating that the insurance claim transaction is not suitable for a nurse intervention program.

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. An operations system for an engine receiving fuel, comprising:
a diagnostic engine model unit configured to receive engine data from the engine and to generate diagnostics data based on the engine data, the diagnostics data including scalars;
an engine-specific model unit coupled to the diagnostic engine model unit and configured to receive the scalars and the engine data,
the engine-specific model unit including a fuel flow calculation module configured to determine a current fuel flow for the engine and a set point module configured to generate set point information for the engine using a thermodynamic model configured to reduce the current fuel flow to the engine, the thermodynamic model being based on component maps associated with the engine, wherein the fuel flow calculation module calculates the current fuel flow from the engine data using the thermodynamic model; and
a data storage unit coupled to the engine-specific model unit and configured to store the set point information.
2. The operations system of claim 1, wherein the set point information includes one or more of inlet temperature, inlet pressure, engine load, shaft power, bleed flow, governing speeds, inlet geometry, and exit geometry.
3. The operations system of claim 1, wherein the set point information includes at least two of inlet temperature, inlet pressure, engine load, shaft power, bleed flow, governing speeds, inlet geometry, and exit geometry.
4. The operations system of claim 1, wherein the engine-specific model unit further includes a fuel flow prediction unit configured to generate a predicted fuel flow based on the set point information using the thermodynamic model.
5. The operations system of claim 1, wherein the engine-specific model unit is configured to calibrate the generation of the set point information.
6. The operations system of claim 1, wherein the engine-specific model unit is configured to calculate the set point information in real-time.
7. The operations system of claim 1, wherein the engine-specific model unit is configured to calculate the current fuel flow based on at least one of engine temperature, engine air pressure, engine air flow, engine fuel flow, and engine speed.
8. The operation system of claim 1, wherein the engine-specific model unit is configured to continuously determine the current fuel flow of the engine.
9. The operations system of claim 1, wherein the engine-specific model unit is further configured to adjust the thermodynamic model based on the scalars.
10. The operations system of claim 9, wherein the thermodynamic model is an engine-specific model.
11. The operations system of claim 10, wherein at least a portion of the scalars represent erosion within the engine.
12. The operations system of claim 1, wherein the set point module is configured to generate the set point information as at least two engine operating parameters that directly result in a minimized fuel flow in view of current engine loading.
13. An aircraft system, comprising:
an engine configured to receive fuel;
an engine control unit coupled to the engine and configured to adjust operation of the engine;
a user interface coupled to the engine control unit and configured to receive commands for the engine control unit to adjust operation of the engine; and
an operations system coupled to the user interface, the engine control unit, and the engine, the operation system comprising:
a diagnostic engine model unit configured to receive engine data from the engine and to generate diagnostics data based on the engine data, the diagnostics data including scalars;
an engine-specific model unit coupled to the diagnostic engine model unit and configured to receive the scalars and the engine data,
the engine-specific model unit including a fuel flow calculation module configured to determine a current fuel flow for the engine and a set point module configured to generate set point information for the engine using a thermodynamic model that reduces the current fuel flow to the engine, the thermodynamic model being based on component maps associated with the engine; and
a data storage unit coupled to the engine-specific model unit and configured to store the set point information.
14. The aircraft system of claim 13, further comprising a graphical user interface coupled to the engine-specific model unit and configured to display the current fuel flow.
15. The aircraft system of claim 13, further comprising a graphical user interface coupled to the engine-specific model unit and configured to display the set point information.
16. The aircraft system of claim 13, further comprising a graphical user interface coupled to the operations system and the engine control unit, the graphical user interface configured to receive a user input to implement the set point information, the engine control unit configured to adjust the engine according to the set point information based on the user input.
17. A method for operations of an engine receiving fuel, comprising:
collecting engine data;
generating diagnostics data based on the engine data, the diagnostics data including scalars;
calculating current fuel flow from the diagnostics data using a thermodynamic model based on component maps associated with the engine;
storing the current fuel flow; and
calculating set point information for the engine using the thermodynamic model configured to reduce the current flow to the engine.
18. The method of claim 17, further comprising adjusting the engine based on the set point information.
19. The method of claim 18, further comprising generating predicted fuel flow based on the set point information.