Abstract: Syndio-rich P3HB (sr-P3HB), readily synthesized from the eight-membered meso-dimethyl diolide, has a unique set of stereomicrostructures comprising enriched syndiotactic [rr] and no isotactic [mm] triads but abundant stereo-defects randomly distributed along the chain. This sr-P3HB material is characterized by high toughness (UT=96 MJ/m3), as a result of its high elongation at break (>400%) and tensile strength (34 MPa), crystallinity (Tm=114° C.), and optical clarity (due to its sub-micron spherulites), and good barrier properties, while it still biodegrades in freshwater and soil. On the other hand, iso-rich P3HB (ir-P3HB) can be synthesized from the eight-membered rac-dimethyl diolide. While sr-P3HB exhibits excellent adhesion strength toward a variety of substrates, both sr-P3HB and ir-P3HB can substantially toughen brittle stereoperfect biological or synthetic P3HB. Both sr-P3HB and ir-P3HB can also be obtained from the four-membered rac-beta-butyrolactone with appropriate catalysts.

Abstract: The present invention relates to imidazo-pyridinyl compounds, or a pharmaceutically acceptable salt thereof, to pharmaceutical compositions comprising such compounds and salts, and to methods of using such compounds, salts and compositions for the treatment of abnormal cell growth, including cancer, in a subject.

Abstract: Compositions comprising Bacillus pumilis O72NR7 (deposit accession number DSM 32563) are useful for improving myriad performance parameters when fed to animals, including, but not limited to, body weight gain, average daily gain and feed conversion rates. The present disclosure describes animal feed additives and animal feeds comprising Bacillus pumilis O72NR7.

Abstract: A heater includes a flow guide and electrical resistance heating elements. The flow guide defines a continuous geometric helicoid disposed about a longitudinal axis and defines perforations that extend in a longitudinal direction through a first longitudinal length of the geometric helicoid. The first longitudinal length is less than a full longitudinal length of the geometric helicoid. The electrical resistance heating elements extend through the perforations. For each electrical resistance heating element, a length of that electrical resistance heating element and a pitch of the geometric helicoid at a distal end of that electrical resistance heating element are such that the distal end of that electrical resistance heating element is a distance X from the geometric helicoid at the distal end of that electrical resistance heating element. The distance X is less than or equal to 40% of the pitch at the distal end of that electrical resistance heating element.

Abstract: A heater includes a flow guide and a plurality of electrical resistance heating elements. The flow guide defines a continuous geometric helicoid disposed about a longitudinal axis of the heater assembly. The flow guide defines a predetermined pattern of perforations that extend in a longitudinal direction through a first longitudinal length of the geometric helicoid, the longitudinal direction being parallel to the longitudinal axis. The plurality of electrical resistance heating elements extend through the perforations. At least one electrical resistance heating element of the plurality of electrical resistance heating elements has a first region with a first watt density and a second region with a second watt density. The second region is located farther in the longitudinal direction than the first region. The second watt density is less than the first watt density.

Abstract: A pedestrian tracking system includes: a buffer or a memory configured to store a trajectory sequence of a pedestrian; a step attention module and a control module. The step attention module iteratively performs a step attention process to predict states of the pedestrian. Each iteration of the step attention process includes the step attention module: learning the stored trajectory sequence to provide time-dependent hidden states, reshaping each of the time-dependent hidden states to provide two-dimensional tensors; condensing the two-dimensional tensors via convolutional networks to provide convolutional sequences; capturing global information of the convolutional sequences to output a set of trajectory patterns represented by a new sequence of tensors; learning time-related patterns in the new sequence and decoding the new sequence to provide one or more of the states of the pedestrian; and modifying the stored trajectory sequence to include the predicted one or more of the states of the pedestrian.

Abstract: A system for predicting aggressive driving behavior for a driver of a vehicle includes a first edge computing device that can acquire spatial-temporal data for the vehicle from one or more sensors that are part of traffic infrastructure. The first edge computing device includes a processor and instructions executable by the processor that execute deep learning methods on the data from the sensors to cluster the data as a driving score. A trained model is applied to the driving score to determine an aggressive driving behavior risk level, and the first edge computing device is configured to predict the aggressive driving behavior based on the aggressive driving behavior risk level.

Abstract: Techniques for training a tokenizer (or word segmenter) are provided. In one technique, a tokenizer tokenizes a token string to identify individual tokens or words. A language model is generated based on the identified tokens or words. A vocabulary about an entity, such as a person or company, is identified. The vocabulary may be online data that refers to the entity, such as a news article or a profile page of a member of a social network. Some of the tokens in the vocabulary may be weighted higher than others. The language model accepts the weighted vocabulary as input and generates pseudo sentences. Alternatively, regular expressions are used to generate the pseudo sentences. The pseudo sentences are used to train the tokenizer.

Abstract: Techniques for training a tokenizer (or word segmenter) are provided. In one technique, a tokenizer tokenizes a token string to identify individual tokens or words. A language model is generated based on the identified tokens or words. A vocabulary about an entity, such as a person or company, is identified. The vocabulary may be online data that refers to the entity, such as a news article or a profile page of a member of a social network. Some of the tokens in the vocabulary may be weighted higher than others. The language model accepts the weighted vocabulary as input and generates pseudo sentences. Alternatively, regular expressions are used to generate the pseudo sentences. The pseudo sentences are used to train the tokenizer.

Abstract: Techniques for training a tokenizer (or word segmenter) are provided. In one technique, a tokenizer tokenizes a token string to identify individual tokens or words. A language model is generated based on the identified tokens or words. A vocabulary about an entity, such as a person or company, is identified. The vocabulary may be online data that refers to the entity, such as a news article or a profile page of a member of a social network. Some of the tokens in the vocabulary may be weighted higher than others. The language model accepts the weighted vocabulary as input and generates pseudo sentences. Alternatively, regular expressions are used to generate the pseudo sentences. The pseudo sentences are used to train the tokenizer.

Abstract: A system may include a network interface, a user interface, and a recommendation engine. The user interface may be configured to receive a job characteristic of a job profile of a job posted to the social network and a job bid from an entity related to job to the social network. The recommendation engine may be configured to determine an aggregate job score for the user based on a relevance of the job characteristic to a user characteristic and the job bid. The network interface may be configured to transmit a message related to the job to the user based, at least in part, on the aggregate job score.