Abstract: Substituted pyridazinone compounds, conjugates, and pharmaceutical compositions for use in the treatment of neuromuscular diseases, such as Duchenne Muscular Dystrophy (DMD), are disclosed herein. The disclosed compounds are useful, among other things, in the treating of DMD and modulating inflammatory inhibitors IL-1, IL-6 or TNF-?.

Abstract: Substituted pyridazinone compounds, conjugates, and pharmaceutical compositions for use in the treatment of neuromuscular diseases, such as Duchenne Muscular Dystrophy (DMD), are disclosed herein. The disclosed compounds are useful, among other things, in the treating of DMD and modulating inflammatory inhibitors IL-1, IL-6 or TNF-?.

Abstract: Substituted pyridazinone compounds, conjugates, and pharmaceutical compositions for use in the treatment of neuromuscular diseases, such as Duchenne Muscular Dystrophy (DMD), are disclosed herein. The disclosed compounds are useful, among other things, in the treating of DMD and modulating inflammatory inhibitors IL-1, IL-6 or TNF-?.

Abstract: Certain aspects provide a method, including: receiving a depth image from a depth sensor; receiving a segmentation mask corresponding to the depth image and segmenting the depth image into a set of foreground pixels and a set of background pixels; determining a set of seed pixels in the depth image; for each respective seed pixel of the set of seed pixels: determining a sampling line in the depth image that starts at the respective seed pixel and passes through a portion of the depth image; for each respective sampling line pixel in the sampling line having a value in the segmentation mask indicating a foreground object in the depth image: determining one or more data attribute values based on a depth value for the respective sampling line pixel in the depth image; and adding the one or more data attribute values to a feature vector.

Abstract: Certain aspects provide a method, including: receiving a depth image from a depth sensor; receiving a segmentation mask corresponding to the depth image and segmenting the depth image into a set of foreground pixels and a set of background pixels; determining a set of seed pixels in the depth image; for each respective seed pixel of the set of seed pixels: determining a sampling line in the depth image that starts at the respective seed pixel and passes through a portion of the depth image; for each respective sampling line pixel in the sampling line having a value in the segmentation mask indicating a foreground object in the depth image: determining one or more data attribute values based on a depth value for the respective sampling line pixel in the depth image; and adding the one or more data attribute values to a feature vector.

Abstract: Certain aspects provide a method, including: receiving a depth image from a depth sensor; receiving a segmentation mask corresponding to the depth image and segmenting the depth image into a set of foreground pixels and a set of background pixels; determining a set of seed pixels in the depth image; for each respective seed pixel of the set of seed pixels: determining a sampling line in the depth image that starts at the respective seed pixel and passes through a portion of the depth image; for each respective sampling line pixel in the sampling line having a value in the segmentation mask indicating a foreground object in the depth image: determining one or more data attribute values based on a depth value for the respective sampling line pixel in the depth image; and adding the one or more data attribute values to a feature vector.

Abstract: Certain aspects provide a method, including: receiving a depth image from a depth sensor; receiving a segmentation mask corresponding to the depth image and segmenting the depth image into a set of foreground pixels and a set of background pixels; determining a set of seed pixels in the depth image; for each respective seed pixel of the set of seed pixels: determining a sampling line in the depth image that starts at the respective seed pixel and passes through a portion of the depth image; for each respective sampling line pixel in the sampling line having a value in the segmentation mask indicating a foreground object in the depth image: determining one or more data attribute values based on a depth value for the respective sampling line pixel in the depth image; and adding the one or more data attribute values to a feature vector.

Abstract: Certain aspects provide a method, including: receiving a depth image from a depth sensor; receiving a segmentation mask corresponding to the depth image and segmenting the depth image into a set of foreground pixels and a set of background pixels; determining a set of seed pixels in the depth image; for each respective seed pixel of the set of seed pixels: determining a sampling line in the depth image that starts at the respective seed pixel and passes through a portion of the depth image; for each respective sampling line pixel in the sampling line having a value in the segmentation mask indicating a foreground object in the depth image: determining one or more data attribute values based on a depth value for the respective sampling line pixel in the depth image; and adding the one or more data attribute values to a feature vector.

Abstract: Certain aspects provide a method, including: receiving a depth image from a depth sensor; receiving a segmentation mask corresponding to the depth image and segmenting the depth image into a set of foreground pixels and a set of background pixels; determining a set of seed pixels in the depth image; for each respective seed pixel of the set of seed pixels: determining a sampling line in the depth image that starts at the respective seed pixel and passes through a portion of the depth image; for each respective sampling line pixel in the sampling line having a value in the segmentation mask indicating a foreground object in the depth image: determining one or more data attribute values based on a depth value for the respective sampling line pixel in the depth image; and adding the one or more data attribute values to a feature vector.

Abstract: Useful and meaningful machine characteristic information may be derived through analysis of oversampled digital data collected using dynamic signal analyzers, such as vibration analyzers. Such data have generally been discarded in prior art systems. In addition to peak values and decimated values, other oversampled values are used that are associated with characteristics of the machine being monitored and the sensors and circuits that gather the data. This provides more useful information than has previously been derived from oversampled data within a sampling interval.

Abstract: Useful and meaningful machine characteristic information may be derived through analysis of oversampled digital data collected using dynamic signal analyzers, such as vibration analyzers. Such data have generally been discarded in prior art systems. In addition to peak values and decimated values, other oversampled values are used that are associated with characteristics of the machine being monitored and the sensors and circuits that gather the data. This provides more useful information than has previously been derived from oversampled data within a sampling interval.

Abstract: A transmission lubrication assembly includes a stator tube having a fluid passage and a sleeve bore, and a stator tube sleeve having a lubrication path provided along an external peripheral service thereof. In another aspect, the transmission lubrication assembly may include a solid input shaft rotatably received within the stator tube, a valve body, and a lubrication tube that provides fluid communication between the fluid passage and the valve body. In yet another aspect, a method of lubricating a transmission assembly includes providing a pressurized source of lubricating fluid, providing a stator tube comprising a fluid passage, and directing a portion of the lubricating fluid to a section of the transmission assembly by way of a stator tube sleeve, wherein the stator tube sleeve has an axial channel through which the lubricating fluid flows.

Abstract: A transmission lubrication assembly includes a stator tube having a fluid passage and a sleeve bore, and a stator tube sleeve having a lubrication path provided along an external peripheral service thereof. In another aspect, the transmission lubrication assembly may include a solid input shaft rotatably received within the stator tube, a valve body, and a lubrication tube that provides fluid communication between the fluid passage and the valve body. In yet another aspect, a method of lubricating a transmission assembly includes providing a pressurized source of lubricating fluid, providing a stator tube comprising a fluid passage, and directing a portion of the lubricating fluid to a section of the transmission assembly by way of a stator tube sleeve, wherein the stator tube sleeve has an axial channel through which the lubricating fluid flows.

Abstract: A kit for manufacturing a stitch-bound printed book comprises a book cover (10), a collection of pre-perforated sheets (15) that can be printed to make up a printed bookblock (18), and endpapers (20a,20b) for assembling the printed bookblock in the cover. The pre-perforated loose sheets (15) have along one edge that corresponds to the book's spine a series of binding perforations (16). The pre-perforated loose sheets (15) are printable on one or both sides in an A4 printer to constitute printed pages of the book. A bookblock (18) is formed by reconstituting the printed pre-perforated pages as a collection with their perforations (16) aligned and by sewing through the perforations (16). This involves stitch-binding of individual sheets (15) instead of the usual stitch-binding of folded sheets, which makes it feasible to print the prepared collection of pre-perforated sheets using desktop publishing equipment.

Abstract: The claimed invention is a method for determining whether a mammal is infected with Haemobartonella felis or for inducing an immune response against Haemobartonella felis using a polypeptide expressed by Mycoplasma. Preferably, the polypeptide is expressed by Mycoplasma gallisepticum. In a preferred embodiment the polypeptide is the pMGA protein expressed by the strain of Mycoplasma gallisepticum having ATCC deposit number 19610.

Abstract: The present invention is based on the discovery of an antigenic site in the unique 7B polypeptide sequence of Feline Infectious Peritonitis Virus. Specific and sensitive methods for detecting cats infected with Feline Infectious Peritonitis Virus are provided. In particular, methods for determining whether an organism is infected with Feline Infectious Peritonitis Virus comprising providing a peptide or polypeptide including at least one antigenic site from the unique 7B polypeptide therein, contacting the peptide or polypeptide with serum containing antibodies from the organism, and determining whether the antibodies in the serum bind to the peptide or polypeptide. PCR based diagnostics are also provided.

Abstract: A general enhancement of the immune system of an animal can be obtained by administration of a T-cell suppressor factor which is idiotypic with regard to any specific antigen when such administration is made in the presence of an effective amount of adjuvant.

Abstract: Factors secreted in the suppressor cascade are effective in contravening the suppression of the immune system in response to a particular antigen when properly administred. TsF2 factors may administered prior to or contemporaneously with the antigen; TsF1 factors, in order to exhibit this desired effect, must be administered prior to administration of antigen.