All The Claims

1. An assembly comprising:
an internal shaft and an external shaft, said internal and external shafts being coaxial and a forward part of the internal shaft projecting beyond a forward end of the external shaft;
a sleeve surrounding the shafts and holding first and second seals, the first seal sealing a portion of the internal shaft and the second seal sealing a portion of the external shaft;
a first bearing supporting the forward end of the external shaft;
a nut screwed around said forward end for providing a stop for said first bearing; and
a spacer having a first part adjusted around the external shaft and retained between the nut and the first bearing, and a second part extending around the nut on which the second seal sealing with the external shaft rubs.
2. (canceled)
3. The assembly according to claim 1, further comprising:
a gear arranged under the nut, the spacer and the sleeve in a direction substantially perpendicular to both shafts;
a gear support housing surrounding the gear; and
a gear hub holding the gear in said direction, wherein a second bearing for the gear is installed around a shaft of the gear by an ascending displacement from below the housing, and the sleeve comprises a flange in abutment with a part of the housing, the abutment being obtained by a forward displacement of the flange.
4. The assembly according to claim 3, further comprising:
a single shell fixed to the housing, in which the second bearing and a third bearing installed around the shaft of the gear are installed.
5. The assembly according to claim 1, wherein a diameter of the second seal is larger than a diameter of the first seal.
6. The assembly according to claim 1, wherein the sleeve is conical.

The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.

1-31. (canceled)
32. A method comprising the following step:
(a) identifying an individual with Type 1 Diabetes (T1D) who will respond positively to injecting a therapeutically effective amount of a pharmaceutical composition into the celiac artery of the individual,
wherein the pharmaceutical composition at least partially reverses recent onset Type 1 Diabetes (T1D) in the individual.
33. The method of claim 32, wherein the individual in step (a) is identified based on DNA in a saliva sample from the individual obtained using a DNA collection kit.
34. The method of claim 32, wherein the pharmaceutical composition completely reverses recent onset T1D.
35. The method of claim 32, wherein the pharmaceutical composition transiently for months to years reverses recent onset T1D.
36. The method of claim 32, wherein the pharmaceutical composition aids storage, production and release of insulin by beta cells in a pancreas.
37. The method of claim 32, wherein step (a) is conducted for at least three minutes.
38. The method of claim 32, wherein the pharmaceutical composition comprises a neuropeptide.
39. The method of claim 32, wherein the pharmaceutical composition comprises substance P.
40. The method of claim 39, wherein substance P is dissolved in saline in the pharmaceutical composition.
41. The method of claim 32, wherein the individual has recent onset of Type 1 Diabetes (T1D).
42. The method of claim 41, wherein the individual is diagnosed with T1D based on DNA from a saliva sample obtained using a DNA collection kit.
43. The method of claim 32, wherein the individual is a human.
44. The method of claim 32, wherein the therapeutically effective amount of the pharmaceutical composition is at least 10 nMkg.
45. The method of claim 32, wherein the therapeutically effective amount of the pharmaceutical composition is at least 50 nMkg.
46. The method of claim 32, wherein the therapeutically effective amount of the pharmaceutical composition is at least 100 nMkg.
47. The method of claim 32, wherein the therapeutically effective amount of the pharmaceutical composition is at least 250 nMkg.

1. A method for maximizing capacity of a distributed antenna system, comprising:
selecting a relaying antenna from a set of antennas of a distributed antenna system to relay a signal to a mobile device;
allocating a signal power based on a pseudo-capacity criterion such that an average pseudo capacity of the distributed antenna system is maximized; and
relaying the signal from the relaying antenna to the mobile device with the allocated signal power, wherein the average pseudo capacity Cpc is
C
pc

=
1
T

\u2062
\u2211

k
=
1

T

\u2062
log
2

(

1
+
\u03b2
m
k

\u2062
k
\u2062

p
k
\u2211

i
\u2260
k
\u2062
\u03b2
m
i

\u2062
k
\u2062

p
i
+

\u03c3
N
2
)
,
where T is total number of mobile devices using same frequency in the distributed antenna system: \u03c32N is an average power of the AWGN: mk is an index of the antenna m in the set of antennas used by the mobile device k; \u03b2mk is the power gain between the antenna m and the mobile device k; pk is a signal power at the antenna mk to relay signal to the mobile device k.
2. The method of the claim 1, wherein the selecting step is an optimal antenna selection.
3. The method of the claim 1, wherein the selecting step is a fixed antenna selection.
4. The method of the claim 2, wherein the optimal antenna selection comprising the steps of:
selecting a subset of antennas out of the set of antennas;
determining for each antenna in the subset of antennas a signal-to-leakage ratio (SLR) ratio; and
selecting from the subset of antennas the relaying antenna with a maximum SLR ratio.
5. The method of the claim 4, wherein the subset of antennas is the set of antennas.
6. The method of the claim 4, wherein the subset of antennas consist of two closest antennas to the mobile device.
7. The method of a claim 4, wherein the SLR of an antenna in the subset of antennas for the mobile device k is
SLR
k

=
\u03b2
m
k

\u2062
k
\u2062

P
t
\u2211

i
\u2260
k
\u2062
\u03b2
m
k

\u2062
i
\u2062

P
t
+

\u03c3
N
2
,
where Pt is the transmitted signal power; \u03c32N is an average power of an additive white Gaussian noise (AWGN); mk is an index of the antenna m in the subset of antennas used by the mobile device k; and \u03b2mk is the power gain between the antenna in and the mobile device k.
8. The method of claim 1, wherein the allocating step uses an optimal power allocation method.

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 of obtaining a representation of an image, comprising:
providing a stored set of cellular region representations;
sub-dividing said image into a plurality of cellular regions;
for each cellular region:
comparing image information of said each cellular region to each cellular region representation of a plurality of said cellular region representations; and,
based on said comparison, selecting one cellular region representation of said set of cellular region representations to represent said each cellular region.
2. The method of claim 1 wherein each cellular region representation of said set of cellular region representations comprises pattern information and wherein said image information of said each cellular region comprises pattern information.
3. The method of claim 1 wherein each cellular region representation of said set of cellular region representations comprises a set of values for a parameter set and wherein said image information of said each cellular region comprises a set of values for said parameter set.
4. The method of claim 3 wherein said each cellular region representation is defined as a cosinusoidal pattern.
5. The method of claim 3 wherein said parameter set comprises parameters of ridge angle, ridge spacing and phase offset.
6. The method of claim 3 wherein said each cellular region representation has a set of values for said parameter set different from that of all other cellular region representations of said set of cellular region representations.
7. The method of claim 1 further comprising down-sampling said image to produce a down-sampled image prior to said sub-dividing.
8. The method of claim 1 further comprising storing each selected one of said set of cellular region representations in order to store a representation of said image.
9. The method of claim 1 wherein each of said cellular regions has identical spatial dimensions.
10. The method of claim 1 further comprising associating a quality parameter with one or more of said cellular regions.
11. The method of claim 1 wherein said image comprises a biometric.
12. The method of claim 11 wherein said biometric is a fingerprint.
13. A computer readable medium containing computer executable instructions which, when loaded into a processor, cause said processor to:
provide a stored set of cellular region representations;
sub-divide said image into a plurality of cellular regions; and,
for each cellular region,
compare image information of said each cellular region to each cellular region representation of a plurality of said cellular region representations; and,
based on said comparison, select one cellular region representation from said set of cellular region representations to represent said each cellular region.
14. Apparatus for obtaining a representation of an image, comprising:
a database storing a set of cellular region representations;
an image input; and
a processor operatively coupled to said image input and said database, said processor adapted to:
sub-divide said image into a plurality of cellular regions; and
for each cellular region:
compare image information of said each cellular region to each cellular region representation of a plurality of said cellular region representations and,
based on said comparison, select one cellular region representation from said set of cellular region representations to represent said each cellular region.
15. A method of obtaining a representation of an image, comprising:
providing a stored set of cellular region representations, each cellular region representation comprising a set of values for a parameter set;
sub-dividing said image into a plurality of cellular regions;
for each cellular region:
obtaining a cellular region set of values for said parameter set for said each cellular region and comparing said cellular region set of values to each cellular region representation of a plurality of said cellular region representations; and,
based on said comparison, selecting one cellular region representation of said set of cellular region representations to represent said each cellular region.