Abstract: Transparent end-to-end freight management is disclosed. A system for transparent end-to-end freight management can include carrier devices, cargo endpoint devices, teleconnected containers, a container and transport parameter provisional allocation engine, a transparent container and transport parameter disposition engine, a freight forwarding oversight engine, a container maintenance engine, and national customs office devices. The system can also include a carrier datastore, a shipper datastore, a recipient datastore, a container datastore, a third party datastore, a mode/route datastore, a contract datastore, a transport state datastore, a container state datastore, and a third party state datastore.

Abstract: Compounds of Formula I are provided: R1 is —OR5, m is an integer from 0 to 5, n is an integer from 0 to 2, each R2 is independently selected from hydrogen, halogen, and alkyl, R3 is selected from hydrogen, alkyl, cycloalkyl, aryl, hydroxyalkyl, alkoxyalkyl, aryloxyalkyl, aralkyloxyalkyl, aralkyl, alkylaminoalkyl, dialkylaminoalkyl, aralkylaminoalkyl, and heterocycloalkyl, R5 is an alkyl, each R4 is independently hydrogen or alkyl, and each of R2, R3, R4, and R5 is independently optionally substituted. Compounds of Formula I are included in pharmaceutical compositions for the treatment of a subject exposed to a botulinum toxin.

Abstract: Compounds of Formula I are provided: R1 is —OR5, m is an integer from 0 to 5, n is an integer from 0 to 2, each R2 is independently selected from hydrogen, halogen, and alkyl, R3 is selected from hydrogen, alkyl, cycloalkyl, aryl, hydroxyalkyl, alkoxyalkyl, aryloxyalkyl, aralkyloxyalkyl, aralkyl, alkylaminoalkyl, dialkylaminoalkyl, aralkylaminoalkyl, and heterocycloalkyl, R5 is an alkyl, each R4 is independently hydrogen or alkyl, and each of R2, R3, R4, and R5 is independently optionally substituted. Compounds of Formula I are included in pharmaceutical compositions for the treatment of a subject exposed to a botulinum toxin.

Abstract: Methods, and systems, including computer programs encoded on computer storage media for compressing data items with variable compression rate. A system includes an encoder sub-network configured to receive a system input image and to generate an encoded representation of the system input image, the encoder sub-network including a first stack of neural network layers including one or more LSTM neural network layers and one or more non-LSTM neural network layers, the first stack configured to, at each of a plurality of time steps, receive an input image for the time step that is derived from the system input image and generate a corresponding first stack output, and a binarizing neural network layer configured to receive a first stack output as input and generate a corresponding binarized output.

Abstract: A seat lift for a bath that includes a seat, a seat back hingedly connected to the seat, a torsion spring, and a guide means for guiding the seat in reversible movement between lower and upper positions. The guide means is configured so that movement between the lower and upper positions comprises both vertical and lateral movement of the seat relative to a base of the bath. The seat back may move between a first seat back position in which the seat back is substantially upright and a second seat back position in which the seat back is orientated so that a user is leaning backwards. The torsion spring biases the seat back to rotate around the hinge connecting the seat back to the seat toward the first seat back position. The torsion spring torque is smaller when the seat is in the lower position than in the upper position.

Abstract: A seat lift for a bath that includes a seat, a seat back hingedly connected to the seat, a torsion spring, and a guide means for guiding the seat in reversible movement between lower and upper positions. The guide means is configured so that movement between the lower and upper positions comprises both vertical and lateral movement of the seat relative to a base of the bath. The seat back may move between a first seat back position in which the seat back is substantially upright and a second seat back position in which the seat back is orientated so that a user is leaning backwards. The torsion spring biases the seat back to rotate around the hinge connecting the seat back to the seat toward the first seat back position. The torsion spring torque is smaller when the seat is in the lower position than in the upper position.

Abstract: Methods, and systems, including computer programs encoded on computer storage media for compressing data items with variable compression rate. A system includes an encoder sub-network configured to receive a system input image and to generate an encoded representation of the system input image, the encoder sub-network including a first stack of neural network layers including one or more LSTM neural network layers and one or more non-LSTM neural network layers, the first stack configured to, at each of a plurality of time steps, receive an input image for the time step that is derived from the system input image and generate a corresponding first stack output, and a binarizing neural network layer configured to receive a first stack output as input and generate a corresponding binarized output.

Abstract: Compounds of formula I are provided: R1 is an alkoxy or O(CH2)pX, p is an integer from 2 to 3 and X is OH, NH2, or CO2H, m is an integer from 0 to 5, n is an integer from 0 to 5, each R2 is independently selected from hydrogen, alkenyl, hydroxyalkyl, alkoxymethyl, heterocyclyl, hetereocyclylmethyl, amino, amido, hydroxamido, any of which may be optionally substituted with one or more of acyl, alkyl, alkoxy, hydroxyalkyl, or halogen, each R3 is independently selected from hydrogen, halogen, alkyl, alkenyl, carboxy, hydroxymethyl, amido, and at least one of R2 and R3 is not hydrogen.

Abstract: Compounds of formula I are provided: R1 is an alkoxy or O(CH2)pX, p is an integer from 2 to 3 and X is OH, NH2, or CO2H, m is an integer from 0 to 5, n is an integer from 0 to 5, each R2 is independently selected from hydrogen, alkenyl, hydroxyalkyl, alkoxymethyl, heterocyclyl, hetereocyclylmethyl, amino, amido, hydroxamido, any of which may be optionally substituted with one or more of acyl, alkyl, alkoxy, hydroxyalkyl, or halogen, each R3 is independently selected from hydrogen, halogen, alkyl, alkenyl, carboxy, hydroxymethyl, amido, and at least one of R2 and R3 is not hydrogen.

Abstract: Compounds of formula I are provided: R1 is an alkoxy or O(CH2)pX, p is an integer from 2 to 3 and X is OH, NH2, or CO2H, m is an integer from 0 to 5, n is an integer from 0 to 5, each R2 is independently selected from hydrogen, alkenyl, hydroxyalkyl, alkoxymethyl, heterocyclyl, hetereocyclylmethyl, amino, amido, hydroxamido, any of which may be optionally substituted with one or more of acyl, alkyl, alkoxy, hydroxyalkyl, or halogen, each R3 is independently selected from hydrogen, halogen, alkyl, alkenyl, carboxy, hydroxymethyl, amido, and at least one of R2 and R3 is not hydrogen.

Abstract: Compounds of formula I are provided: R1 is an alkoxy or O(CH2)pX, p is an integer from 2 to 3 and X is OH, NH2, or CO2H, m is an integer from 0 to 5, n is an integer from 0 to 5, each R2 is independently selected from hydrogen, alkenyl, hydroxyalkyl, alkoxymethyl, heterocyclyl, hetereocyclylmethyl, amino, amido, hydroxamido, any of which may be optionally substituted with one or more of acyl, alkyl, alkoxy, hydroxyalkyl, or halogen, each R3 is independently selected from hydrogen, halogen, alkyl, alkenyl, carboxy, hydroxymethyl, amido, and at least one of R2 and R3 is not hydrogen.

Abstract: Methods, systems and apparatus for choosing image labels. In one aspect, a method includes receiving data specifying a first image, receiving text labels for the first image, receiving search results in response to a web search performed using at least some of the text labels as queries, ranking the text labels, at least in part, based on a number of resources referenced by the received search results, wherein at least some of the resources each include an image matching the first image, and selecting an image label for the image from the ranked text labels, the image label being selected based on the ranking.

Abstract: Methods, systems, and apparatus for identifying labels for image collections are presented. In one aspect, a method includes obtaining a collection of images; obtaining, for each image in the collection of images, image similarity data that indicates a measure of similarity of the image to other images in the collection of images; generating, based on the similarity data, two or more image clusters from the collection of images, each image cluster including one or more images from the collection of images; for each image cluster: obtaining, for each image in the image cluster, a set of image labels; generating, from each set of image labels obtained for each image in the image cluster, a set of cluster labels; selecting one or more cluster labels from the set of cluster labels; and identifying the selected cluster labels as a set of collection labels for the collection of images.

Abstract: Methods, systems and apparatus for choosing image labels. In one aspect, a method includes receiving data specifying a first image, receiving text labels for the first image, receiving search results in response to a web search performed using at least some of the text labels as queries, ranking the text labels, at least in part, based on a number of resources referenced by the received search results, wherein at least some of the resources each include an image matching the first image, and selecting an image label for the image from the ranked text labels, the image label being selected based on the ranking.

Abstract: A system for automatic determination of eligibility, payments and tax for a merchandise lease comprises an interface and a processor. The interface is configured to receive a minimal set of information. The processor is configured to determine that it is possible to determine a full identity using the minimal set of information; determine a maximum lease amount based at least in part on the full identity; and determine one or more lease payments and lease tax based at least in part on a merchandise price and a location tax rate.

Abstract: Methods, systems and apparatus for choosing image labels. In one aspect, a method includes receiving data specifying a first image, receiving text labels for the first image, receiving search results in response to a web search performed using at least some of the text labels as queries, ranking the text labels, at least in part, based on a number of resources referenced by the received search results, wherein at least some of the resources each include an image matching the first image, and selecting an image label for the image from the ranked text labels, the image label being selected based on the ranking.

Abstract: Methods, systems, and apparatus for identifying labels for image collections are presented. In one aspect, a method includes obtaining a collection of images; obtaining, for each image in the collection of images, image similarity data that indicates a measure of similarity of the image to other images in the collection of images; generating, based on the similarity data, two or more image clusters from the collection of images, each image cluster including one or more images from the collection of images; for each image cluster: obtaining, for each image in the image cluster, a set of image labels; generating, from each set of image labels obtained for each image in the image cluster, a set of cluster labels; selecting one or more cluster labels from the set of cluster labels; and identifying the selected cluster labels as a set of collection labels for the collection of images.

Abstract: Methods, systems and apparatus for choosing image labels. In one aspect, a method includes receiving data specifying a first image, receiving text labels for the first image, receiving search results in response to a web search performed using at least some of the text labels as queries, ranking the text labels, at least in part, based on a number of resources referenced by the received search results, wherein at least some of the resources each include an image matching the first image, and selecting an image label for the image from the ranked text labels, the image label being selected based on the ranking.