Abstract: A passive beamforming rectenna includes a plurality of antennas, a plurality of terminal port rectifying circuits, and a beamforming network. The beamforming network includes (a) a plurality of antenna ports connecting to the plurality of antennas, and (b) a plurality of terminal ports connecting to the plurality of terminal port rectifying circuits. The beamforming network further includes a microwave lens or any of a variety of other structures. The beamforming rectenna is characterized by a plurality of radiation distribution patterns. Electromagnetic power is received through the plurality of antennas.

Abstract: A computer system gleans data from patient records and clinical trial descriptions using NLP techniques. NLP annotation data is used to generate clinical trial feature vectors and patient feature vectors. Clinical trial feature vectors and patient feature vectors are compared to match appropriate patient candidates with clinical trial openings.

Abstract: Detecting and incorporating formatting characteristics within natural language processing analytics. Source documents are ingested and the markup formatting language is identified by the program. Once identified, the markup language is parsed and examined for formatting characteristics, embedded notes, comments and other metadata. The formatting characteristics of the plain text are extracted, along with the plain text, and converted into a common analysis structure (CAS), or CAS-equivalent structure, which annotates the natural language text together with its respective formatting characteristics. The CAS or CAS-equivalent structures are stored and sent to a natural language processing pipeline for further analysis via complex algorithms and rules. The natural language processing results data are curated to reflect meaningful analysis of the extracted CAS or CAS-equivalent structure.

Abstract: Detecting and incorporating formatting characteristics within natural language processing analytics. Source documents are ingested and the markup formatting language is identified by the program. Once identified, the markup language is parsed and examined for formatting characteristics, embedded notes, comments and other metadata. The formatting characteristics of the plain text are extracted, along with the plain text, and converted into a common analysis structure (CAS), or CAS-equivalent structure, which annotates the natural language text together with its respective formatting characteristics. The CAS or CAS-equivalent structures are stored and sent to a natural language processing pipeline for further analysis via complex algorithms and rules. The natural language processing results data are curated to reflect meaningful analysis of the extracted CAS or CAS-equivalent structure.

Abstract: A radio frequency identification (RFID) system for frequency multiplexing includes, in one exemplary embodiment, and RFID interrogator configured for generating an RFID signal, wherein a channel frequency of the RFID signal changes over time; a first narrow band antenna, characterized by a first passband, the first passband corresponding to a first range of frequencies; a second narrow band antenna, characterized by a second passband, the second passband corresponding to a second range of frequencies, wherein the second range of frequencies differs from the first range of frequencies, whereby the second passband differs from the first passband; and first and second feed lines configured for feeding the RFID signal to each of the first and second narrow band antennas, respectively. Other embodiments include systems and methods including similar and different RFID components and aspects for frequency multiplexing.

Abstract: A system and sensor provides for radio frequency identification (RFID)-enabled information collection. The system includes a ring-shaped element and an antenna. The ring-shaped element includes a conductive ring and an RFID integrated circuit. The antenna is spaced apart from the ring-shaped element and defines an electrically-conductive path commensurate in size and shape to at least a portion of the conductive ring. In an alternate embodiment, the sensor system further comprises a reference ring-shaped element in a fixed relationship with respect to the antenna, with the reference ring-shaped element defining another series circuit to include an electrically-conductive reference ring and a reference RFID integrated circuit. The system may include an interrogator for energizing the ring-shaped element and receiving a data transmission from the RFID integrated circuit that has been energized for further processing by a processor.

Abstract: Medical data for transcription into a medical record is received. As the medical data is received, in real time: a computer-understandable meaning of text contained in the medical data can be identified by performing natural language processing on the text contained in the medical data; at least one medical transcription rule that applies to the medical data can be identified by processing the computer-understandable meaning of the text contained in the medical data; whether the medical data is incomplete can be determined by processing the computer-understandable meaning of text using the at least one medical transcription rule; and, responsive to determining that the medical data is incomplete, at least one annotation can be added to the medical record, the at least one annotation indicating data that is missing from the medical record and where in the medical record the data is missing.

Abstract: A method for providing annotation summaries for annotations is provided. The method may include receiving annotations associated with analyzed unstructured data. The method may further include sorting the received annotations. Additionally, the method may include receiving focal points on the analyzed unstructured data. The method may also include extracting the sorted annotations associated with the focal points. The method may further include normalizing terms and phrases associated with the extracted annotations. The method may also include determining topics based on the normalized terms and phrases associated with the extracted annotations. The method may further include grouping the extracted annotations based on the determined topics. The method may also include summarizing the grouped annotations to generate a summarized annotation. The method may further include replacing the extracted annotations with the summarized annotation.

Abstract: A radio frequency identification (RFID) system for frequency multiplexing includes, in an exemplary embodiment, an RFID interrogator configured for generating an RFID signal, wherein a channel frequency of the RFID signal changes over time within an operating bandwidth; and one or more electromagnetic transmissive elements each extending between a first end thereof and a second end thereof, each of the electromagnetic transmissive elements electrically coupled with the RFID interrogator at the first end thereof, each of the electromagnetic transmissive elements comprising a frequency dependent load at the second end thereof and configured for transmitting the RFID signal from the RFID interrogator to the frequency dependent load, wherein the frequency dependent load presents different electromagnetic characteristics to the RFID signal transmitted to the frequency dependent load depending on the channel frequency of the RFID signal.

Abstract: A radio frequency identification (RFID) system includes an RFID interrogator and an RFID tag having a plurality of information sources and a beamforming network. The tag receives electromagnetic radiation from the interrogator. The beamforming network directs the received electromagnetic radiation to a subset of the plurality of information sources. The RFID tag transmits a response to the received electromagnetic radiation, based on the subset of the plurality of information sources to which the received electromagnetic radiation was directed. Method and other embodiments are also disclosed.

Abstract: An angular position sensing system includes a first support with ring-shaped elements disposed thereon and spaced apart from one another in a curvilinear arrangement. Each ring-shaped element includes an electrically-conductive ring and an RFID integrated circuit electrically coupled to its electrically-conductive ring. A second support has an antenna coupled thereto that defines an electrically-conductive path commensurate in size and shape to at least a portion of the electrically-conductive ring. An interrogator transmits a signal to the antenna wherein electric current is generated along the antenna's electrically-conductive path and electromagnetic energy emanates from the antenna. Any ring-shaped element and its RFID integrated circuit energized by the electromagnetic energy generates in response a data transmission for receipt by the interrogator.

Abstract: According to an embodiment of the present invention, a system dynamically produces a document with transformed terms associated with a geographic location, and comprises a computer system including at least one processor. The system analyzes a retrieved document to identify one or more terms with equivalent expressions in the same natural language. Each of the identified terms is transformed into an equivalent expression based on at least a geographic location associated with a user. The system produces a transformed document by replacing the identified one or more terms in the retrieved document with the equivalent expressions associated with the geographic location. Embodiments of the present invention further include a method and computer program product for dynamically producing a document with transformed terms for a geographic location in substantially the same manner described above.

Abstract: A method, a processing device, and a computer program product are provided. Via at least one processing device, each text file is selected from a collection of text files, wherein the collection of text files has an intensity with respect to negative sentiment toward a common issue. At least one profile algorithm is performed, each calculating a corresponding profile score for that text file. At least one corresponding profile score of the text files of the collection are combined to produce an aggregated profile score for each of at least one profile algorithm. The aggregated profile score of each of the at least one profile algorithm for the collection is stored. A signature for the collection of text files includes the aggregated profile score of each of the at least one profile algorithm for the collection.

Abstract: A computer-implemented method includes receiving a rule, wherein the rule includes at least one token, and receiving at least two dictionaries, wherein the at least two dictionaries include at least one general language dictionary and at least one domain-specific dictionary for a domain. The computer-implemented method further includes, for each of the at least one token, selecting at least one word at random from at least one of the at least two dictionaries and adding the at least one word to a test data line, such that the test data line includes a candidate statement conforming to the rule. The computer-implemented method further includes filtering the candidate statement based on a domain-specific model for the domain and including the candidate statement in training data provided to a machine learning model. A corresponding computer program product and computer system are also disclosed.

Abstract: A computer-implemented method includes receiving a rule, wherein the rule includes at least one token, and receiving at least two dictionaries, wherein the at least two dictionaries include at least one general language dictionary and at least one domain-specific dictionary for a domain. The computer-implemented method further includes, for each of the at least one token, selecting at least one word at random from at least one of the at least two dictionaries and adding the at least one word to a test data line, such that the test data line includes a candidate statement conforming to the rule. The computer-implemented method further includes filtering the candidate statement based on a domain-specific model for the domain and including the candidate statement in training data provided to a machine learning model. A corresponding computer program product and computer system are also disclosed.

Abstract: A computer system gleans data from patient records and clinical trial descriptions using NLP techniques. NLP annotation data is used to generate clinical trial feature vectors and patient feature vectors. Clinical trial feature vectors and patient feature vectors are compared to match appropriate patient candidates with clinical trial openings.

Abstract: A computer system gleans data from patient records and clinical trial descriptions using NLP techniques. NLP annotation data is used to generate clinical trial feature vectors and patient feature vectors. Clinical trial feature vectors and patient feature vectors are compared to match appropriate patient candidates with clinical trial openings.

Abstract: A method for providing annotation summaries for annotations is provided. The method may include receiving annotations associated with analyzed unstructured data. The method may further include sorting the received annotations. Additionally, the method may include receiving focal points on the analyzed unstructured data. The method may also include extracting the sorted annotations associated with the focal points. The method may further include normalizing terms and phrases associated with the extracted annotations. The method may also include determining topics based on the normalized terms and phrases associated with the extracted annotations. The method may further include grouping the extracted annotations based on the determined topics. The method may also include summarizing the grouped annotations to generate a summarized annotation. The method may further include replacing the extracted annotations with the summarized annotation.

Abstract: A method, a processing device, and a computer program product are provided. At least one processing device correlates textual medical information related to the subject with characteristics of an image of a medical condition of the subject to generate a subject signature. The at least one processing device compares the subject signature with multiple reference signatures to determine at least one reference signature corresponding to the subject signature. Each reference signature is associated with a corresponding medical condition and is generated by correlating textual medical information regarding the corresponding medical condition with characteristics of an image of the corresponding medical condition. The at least one processing device identifies the medical condition of the subject based on the medical conditions associated with the determined at least one reference signature. Information is provided regarding the identified medical condition of the subject.

Abstract: A method, a processing device, and a computer program product are provided. Via at least one processing device, each text file is selected from a collection of text files, wherein the collection of text files has an intensity with respect to negative sentiment toward a common issue. At least one profile algorithm is performed, each calculating a corresponding profile score for that text file. At least one corresponding profile score of the text files of the collection are combined to produce an aggregated profile score for each of at least one profile algorithm. The aggregated profile score of each of the at least one profile algorithm for the collection is stored. A signature for the collection of text files includes the aggregated profile score of each of the at least one profile algorithm for the collection.