All The Claims

1. A method for identifying development of diabetic cardiovascular autonomic neuropathy (DCAN) in a biological subject, the method comprising:
collecting data associated with heart rates of a biological subject; and
processing the collected data to extract primary and secondary components of the collected data by performing a principal dynamic mode (PDM) analysis;
determine whether there is a significant reduction of the primary or secondary component at a predetermined time period;
wherein the significant reduction of the primary or secondary component at the predetermined time period is indicative of the DCAN development.
2. The method of claim 1, wherein the primary and secondary components respectively represent sympathetic and parasympathetic dynamics of an autonomic nervous system of the biological subject.
3. The method of claim 1, wherein collecting the data comprises monitoring pulsatile signals associated with the heart rates of the biological subject by detecting an optical property associated with a biological fluid of the biological subject using an imaging device of a portable communication device.
4. The method of claim 1, wherein collecting the data comprises monitoring pulsatile signals associated with the heart rates of the biological subject by using an electrocardiography (ECG) device.
5. The method of claim 1, wherein processing the collected data comprises using a computing device to:
detrend the collected data to obtain output data;
delay the detrended data by one unit to obtain input data;
form a principal matrix using Volterra kernels based on the input and the output; and
eigendecompose the principal matrix using a predetermined number of orthonormal functions as a basis to obtain eigenvalues and eigenvectors of the principal matrix.
6. The method of claim 5, wherein the primary and secondary, components respectively correspond to two of the eigenvectors associated with the first two greatest eigenvalues of the principal matrix.
7. The method of claim 5, wherein the orthonormal functions comprise Laguerre functions.
8. The method of claim 1, wherein collecting the data comprises collecting the data while the biological subject is at an active state; and wherein a significant reduction of the primary component is indicative of the DCAN development.
9. The method of claim 1, wherein collecting the data comprises collecting the data while the biological subject is at a quiet state; and wherein a significant reduction of the secondary component is indicative of the DCAN development.
10. A device for identifying development of diabetic cardiovascular autonomic neuropathy (DCAN) in a biological subject, the device comprising:
a processor configured to collect data associated with heart rates of a biological subject; and
a memory coupled to the processor to store the collected data;
wherein the processor is further configured to process the collected data to extract primary and secondary components of the collected data by performing a principal dynamic mode (PDM) analysis; and determine whether there is a significant reduction of the primary or secondary component at a predetermined time period; wherein the significant reduction of the primary or secondary component at the predetermined time period is indicative of the DCAN development.
11. The device of claim 10, wherein the primary and secondary components respectively represent sympathetic and parasympathetic dynamics of an autonomic nervous system of the biological subject.
12. The device of claim 10, further comprising an imaging device coupled to the processor, the imaging device being configured to obtain pulsatile signals associated with the heart rates of the biological subject.
13. The device of claim 12, wherein the imaging device is further configured to detect an optical property associated with a biological fluid of the biological subject so as to obtain the pulsatile signals.
14. The device of claim 10, further comprising an electrocardiography (ECG) device configured to obtain pulsatile, signals associated with the heart rates of the biological subject.
15. The device of claim 10, wherein the processor is further configured to:
detrend the collected data to obtain output data;
delay the detrended data by one unit to obtain input data;
form a principal matrix using Volterra kernels based on the input and the output; and
eigendecompose the principal matrix using a predetermined number of orthonormal functions as a basis to obtain eigenvalues and eigenvectors of the principal matrix.
16. The device of claim 15, wherein the primary and secondary components respectively correspond to two of the eigenvectors associated with the first two greatest eigenvalues of the principal matrix.
17. The device of claim 15, wherein the orthonormal functions comprise Laguerre functions.
18. The device of claim 10, wherein the processor is further configured to display an indication of the DCAN development, if the processor collects the data while the biological subject is at an active state, and if a significant reduction of the primary component occurs.
19. The device of claim 10, further comprising a display screen configured to display an indication of the DCAN development, if the processor collects the data while the biological subject is at a quiet state, and if a significant reduction of the secondary component occurs.
20. A system for identifying development of diabetic cardiovascular autonomic neuropathy (DCAN) in a biological subject comprising:
a mobile communication device comprising:
an imaging device, the imaging device being configured to obtain pulsatile signals associated with the heart rates of the biological subject;

a processor configured to collect data associated with heart rates of a biological subject; and
a memory coupled to the processor to store the collected data;
wherein the processor is further configured to process the collected data to extract primary and secondary components of the collected data by performing a principal dynamic mode (PDM) analysis; and determine whether there is a significant reduction of the primary or secondary component at a predetermined time period; the processor being operatively coupled to the imaging device and the memory;
wherein the significant reduction of the primary or secondary component at the predetermined time period is indicative of the DCAN development.
21. The system of claim 20 wherein the imaging device is further configured to detect an optical property associated with a biological fluid of the biological subject so as to obtain the pulsatile signals.
22. The system of claim 20 further comprising an electrocardiography (ECU) device configured to obtain pulsatile signals associated with the heart rates of the biological subject.
23. The system of claim 20 wherein the imaging device is further configured to obtain pulsatile signals associated with the heart rates of the biological subject.
24. The system of claim 20 wherein the processor is further configured to display an indication of the DCAN development, if the processor collects the data while the biological subject is at an active state, and if a significant reduction of the primary component occurs.

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 comprising:
receiving a request for a first routable address associated with an alias address of a first called H.323 entity at a non-gatekeeper database external to a first domain in which the first called H.323 entity is located, the non-gatekeeper database external to a second domain in which a calling H.323 entity is located; and
providing the first routable address to a cache at a gatekeeper associated with the calling H.323 entity, the gatekeeper configured to remove a second routable address associated with a second called H.323 entity responsive to a cache policy and responsive to receiving the first routable address.
2. The method of claim 1, wherein the calling H.323 entity is visiting the second domain.
3. The method of claim 1, wherein the first called H.323 entity is visiting the first domain.
4. The method of claim 1, further comprising:
placing a call comprising multimedia communications responsive to receiving the first routable address.
5. The method of claim 1, further comprising:
registering the calling H.323 entity with the gatekeeper.
6. The method of claim 1, further comprising:
registering the calling H.323 entity in a home zone of a gatekeeper database.
7. The method of claim 1, further comprising:
registering the calling H.323 entity in a visitor zone of a gatekeeper database.
8. The method of claim 1, further comprising:
updating a home zone of a gatekeeper database associated the calling H.323 entity with information indicative of a location of the calling H.323 entity.
9. The method of claim 1, further comprising:
updating a home zone of a gatekeeper database associated the first called H.323 entity with information indicative of a location of the first called H.323 entity.
10. The method of claim 1, further comprising:
synchronizing the non-gatekeeper database with at least one other network database.
11. The method of claim 1, further comprising:
querying the non-gatekeeper database to obtain a current location of the first called H.323 entity.
12. The method of claim 1, further comprising:
caching the first routable address and the alias address of the first called H.323 entity at the gatekeeper associated with the calling H.323 entity.
13. The method of claim 1, further comprising:
caching the first routable address and the alias address of the first called H.323 entity at the gatekeeper associated with the calling H.323 entity responsive to the cache policy.
14. The method of claim 1, further comprising:
establishing the cache policy when the cache at the gatekeeper associated with the calling H.323 entity is full; and
caching the first routable address and the alias address of the first called H.323 entity in the cache responsive to the cache policy.
15. The method of claim 1, further comprising:
confirming that the alias address of the first called H.323 entity is portable.
16. The method of claim 1, further comprising:
responsive to a routable alias address, providing a billing rate to the calling H.323 entity for a multimedia communication.
17. The method of claim 1, further comprising:
determining a quality of service associated with the calling H.323 entity.
18. The method of claim 1, further comprising:
determining a quality of service associated with the calling H.323 entity; and
placing a multimedia call to the first routable address responsive to the quality of service associated with the calling H.323 entity.

1. An apparatus comprising:
a plurality of point-to-point interfaces to communicate with remote processing entities;
a plurality of trackers configured to function as a plurality of queues to store non-snoop read andor non-snoop write operations in order of reception and categorized by associated priority, the trackers to provide data coherency in a multi-node system including the remote processing entities, wherein the trackers are organized as a two-dimensional queue structure to resolve conflicts between conflicting read and write operations, the trackers to be utilized in processing both non-snoop and snoop operations; and
a control circuit coupled with the plurality of trackers to cause the highest priority, non-conflicted non-snoop readnon-conflicted non-snoop write operation to be performed.
2. The apparatus of claim 1 wherein at least one of the remote processing entities comprises a processing core.
3. The apparatus of claim 1 wherein at least one of the remote processing entities comprises a memory controller.
4. The apparatus of claim 1 wherein one or more of the trackers comprise a register.
5. The apparatus of claim 1 wherein the plurality of queues comprise:
a critical first in, first out (FIFO) queue;
a priority FIFO queue;
an ordered FIFO queue; and
an unordered queue.
6. A system comprising:
a dynamic random access memory (DRAM)
a plurality of point-to-point interfaces to communicate with remote processing entities;
a plurality of trackers configured to function as a plurality of queues to store non-snoop read andor non-snoop write operations in order of reception and categorized by associated priority, the trackers to provide data coherency in a multi-node system including the remote processing entities, wherein the trackers are organized as a two-dimensional queue structure to resolve conflicts between conflicting read and write operations, the trackers to be utilized in processing both non-snoop and snoop operations; and
a control circuit coupled with the plurality of trackers to cause the highest priority, non-conflicted non-snoop readnon-conflicted non-snoop write operation to be performed utilizing the DRAM.
7. The system of claim 6 wherein at least one of the remote processing entities comprises a processing core.
8. The system of claim 6 wherein at least one of the remote processing entities comprises a memory controller.
9. The system of claim 6 wherein one or more of the trackers comprise a register.
10. The system of claim 6 wherein the plurality of queues comprise:
a critical first in, first out (FIFO) queue;
a priority FIFO queue;
an ordered FIFO queue; and
an unordered queue.
11. A method comprising:
maintaining a plurality of tracking structures organized as at least two or more queues to store posted non-snoop memory access operations, the two or more queues having associated priorities, the trackers to provide data coherency in a multi-node system, wherein the trackers are organized as a two-dimensional queue structure to resolve conflicts between conflicting read and write operations, the trackers to be utilized in processing both non-snoop and snoop operations;
receiving a non-snoop memory access operation;
determining whether a posted non-snoop memory access operation conflicts with the received non-snoop memory access operation; and
halting processing of at least one higher priority queue in favor of a lower priority queue to resolve the conflict between the posted non-snoop memory access operation and the received non-snoop memory access operation.
12. The method of claim 11, wherein the two or more queues comprise:
a critical first in, first out (FIFO) queue;
a priority FIFO queue;
an ordered FIFO queue; and
an unordered queue.
13. The method of claim 11 wherein the two or more queues comprise one or more general-purpose trackers.
14. The method of claim 13 wherein one or more of the trackers comprise a register.
15. The method of claim 13 wherein one or more of the trackers comprise a memory location.
16. An article comprising a computer-readable medium having stored thereon instructions that, when executed, cause one or more processors to:
maintain a plurality of tracking structures organized as at least two or more queues to store posted non-snoop memory access operations, the two or more queues having associated priorities, the trackers to provide data coherency in a multi-node system, wherein the trackers are organized as a two-dimensional queue structure to resolve conflicts between conflicting read and write operations, the trackers to be utilized in processing both non-snoop and snoop operations;
receive a non-snoop memory access operation;
determine whether a posted non-snoop memory access operation conflicts with the received non-snoop memory access operation; and
halt processing of at least one higher priority queue in favor of a lower priority queue to resolve the conflict between the posted non-snoop memory access operation and the received non-snoop memory access operation.
17. The article of claim 16, wherein the two or more queues comprise:
a critical first in, first out (FIFO) queue;
a priority FIFO queue;
an ordered FIFO queue; and
an unordered queue.
18. The article of claim 17 wherein the two or more queues comprise one or more general-purpose trackers.
19. The article of claim 18 wherein one or more of the trackers comprise a register.

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 liquid additive for CMP abrasive comprising a dispersant and water, wherein the dispersant is one of a polyammonium-acrylate or a polyamine-acrylate and has a weight average molecular weight of 1,000 to 100,000, and wherein the liquid additive contains 1 to 10% by weight of the dispersant.
2. The liquid additive for CMP abrasive of claim 1, wherein the dispersant has a weight average molecular weight of 10,000 to 40,000.
3. A liquid additive for CMP abrasive comprising a dispersant and water, wherein the dispersant is a polymer dispersant, wherein said polymer dispersant is a polymer containing ammonium acrylate as a copolymerized ingredient, a polyammonium-acrylate or a polyamine-acrylate and has a weight average molecular weight of 1,000 to 100,000, and wherein the liquid additive contains 1 to 10% by weight of the dispersant and is pH 4 to 8.
4. The liquid additive for CMP abrasive of claim 3, wherein the dispersant is one of a polyammonium-acrylate or a polyamine-acrylate.
5. A liquid additive for CMP abrasive comprising a dispersant and water, wherein the dispersant is one of a polyammonium-acrylate or a polyamine-acrylate and has a molecular weight distribution (weight average molecular weightnumber average molecular weight) of 1.005 to 1.300, and wherein the liquid additive contains 1 to 10% by weight of the dispersant and is pH 4 to 8.
6. A liquid additive for CMP abrasive comprising a dispersant and water, wherein the dispersant is one of a polyammonium-acrylate or a polyamine-acrylate and contains 10 mol % or less of free ammonia or a free amine, which does not form a salt, and wherein the liquid contains 1 to 10% by weight of the dispersant and is pH 4 to 8.
7. A liquid additive for CMP abrasive comprising a dispersant and water, wherein the dispersant is one of a polyammonium-acrylate or a polyamine-acrylate, and wherein the liquid additive contains 1 to 10% by weight of the dispersant, is pH 4 to 8 and has a viscosity of 1.20 to 2.50 mPas.
8. A liquid additive for CMP abrasive comprising a dispersant and water, wherein the dispersant is a polymer dispersant, wherein said polymer dispersant is a polymer containing ammonium acrylate as a copolymerized ingredient, a polyammonium-acrylate or a polyamine-acrylate, and has a weight average molecular weight of 10,000 to 40,000, and wherein the liquid additive contains 1 to 10% by weight of the dispersant and is pH 4 to 8.
9. The liquid additive for CMP abrasive of claim 8, wherein the dispersant is one of a polyammonium-acrylate or a polyamine-acrylate.