Abstract: Exemplary embodiments of the present disclosure are directed to implementing image-based retrieval of a cited reference in a written work. A unique alphanumeric identifier extracted from an image taken of a portion of a written work can be programmatically compared to stored identifiers in an authority database in response to a request received from a portable computing device. Cited reference data can be retrieved from the authority database in response to a favorably comparison of the unique alphanumeric identifier to at least one of the stored identifiers associated with a reference stored in the authority database and the cited reference data can be provided to the portable computing device for output on the display of the portable computing device.

Abstract: In embodiments, a task scheduler schedules a network scanning task associated with the electronic item to be repeatedly executed according to an execution frequency. The execution frequency corresponds to a length of a time interval between each execution. The task scheduler receives a first set of scan results generated by a first execution, at a first execution time, of the scanning task and a second set of scan results generated by a second execution, at a second execution time, of the scanning task. The first and second sets of scan results may include information associated with first and second sets of observed activities associated with the electronic item, respectively. The first and second sets of scan results are analyzed and the execution frequency is modified based on the analysis.

Abstract: In embodiments, a message retriever accesses a plurality of messages and a message filter identifies, within the accessed messages, a set predictive messages. The risk/return-related messages are analyzed to identify associated return advisors. The return advisors are evaluated and ranked according to advisor scores, and risk/return-related decisions referenced in the messages are also identified, evaluated, and ranked. The ranked return advisors and decisions are used to facilitate assessment of future performance of an item or entity.

Abstract: An image of a printed document portion is provided to a synchronizer. The synchronizer retrieves an electronic version of the printed document and identifies an electronic text portion that is textually similar to a printed text portion. The synchronizer detects an annotation in the printed document portion and inserts a corresponding digital annotation into the electronic document.

Abstract: In embodiments, a sentiment analyzer identifies a first event and accesses a first set of messages. The sentiment analyzer associates the first set of messages with the first event and analyzes the messages to identify a set of sentiment features. The set of sentiment features is used to analyze a second set of messages to form a prediction associated with a second event. The prediction may be used to facilitate an event-related service.

Abstract: The system and method described herein may be used to forecast realized volatility via wavelets and non-linear dynamics. In particular, a volatility time series that includes daily volatility values associated with a security may be decomposed into wavelets via multi-resolution analysis and dynamical properties associated with the individual wavelets may be analyzed to identify deterministic and non-deterministic wavelets and produce a volatility forecast derived from a fit computed on the deterministic wavelets. For example, the wavelets may be analyzed to discover time delay, Theiler, and embedding dimension values associated therewith, which may be used to project volatility values associated with each wavelet. The projected volatility values associated with each wavelet may then be summed to produce a volatility forecast associated with the security.

Abstract: An asymmetric approach for compressing digital data, or digitized analog data, uses dictionary-based compression for a transmitter and receiver communicating over a lossy unidirectional communication channel. The transmitter is responsible for generating active dictionaries, selecting appropriate dictionaries for compressing data, retiring old dictionaries, and sending new dictionaries to the receiver. The receiver passively stores the dictionaries from the transmitter and uses the right stored dictionary to decompress data received from the transmitter, as indicated by instructions in the compressed data set.