Abstract: A computational evidence platform extracts clinical concepts from medical evidence sources and creates a database of elemental diagnostic factors and elemental investigations links to medical conditions. Input from a person groups factors and investigations makes corrections and adds a ranking Elemental factors and investigations do not include information specific to their associated conditions but include synonyms and a link to a medical ontology. A patient state is determined by extracting patient known diagnostic factors and investigation results from the patient chart. These known factors and results are matched to the database and a ranking of likely conditions are output. Next-best actions per condition are output by determining factors not yet known and investigations not yet performed. Next-best actions across conditions are determined by performing a recursive tree search of the database and assuming that unknown factors are now known to generate a score for each assumption.

Abstract: A semiconductor device and a method of manufacturing the same are provided. The semiconductor device includes a first transistor, a first resistive random access memory (RRAM) resistor, and a second RRAM resistor. The first resistor includes a first resistive material layer, a first electrode shared by the second resistor, and a second electrode. The second resistor includes the first electrode, a second resistive material layer, and a third electrode. The first electrode is electrically coupled to the first transistor.

Abstract: A computational evidence platform extracts clinical concepts from medical evidence sources and creates a database of elemental diagnostic factors and elemental investigations links to medical conditions. Input from a person groups factors and investigations makes corrections and adds a ranking. Elemental factors and investigations do not include information specific to their associated conditions but include synonyms and a link to a medical ontology. A patient state is determined by extracting patient known diagnostic factors and investigation results from the patient chart. These known factors and results are matched to the database and a ranking of likely conditions are output. Next-best actions per condition are output by determining factors not yet known and investigations not yet performed. Next-best actions across conditions are determined by performing a recursive tree search of the database and assuming that unknown factors are now known to generate a score for each assumption.

Abstract: A computational evidence platform extracts clinical concepts from medical evidence sources and creates a database of elemental diagnostic factors and elemental investigations links to medical conditions. Input from a person groups factors and investigations makes corrections and adds a ranking. Elemental factors and investigations do not include information specific to their associated conditions but include synonyms and a link to a medical ontology. A patient state is determined by extracting patient known diagnostic factors and investigation results from the patient chart. These known factors and results are matched to the database and a ranking of likely conditions are output. Next-best actions per condition are output by determining factors not yet known and investigations not yet performed. Next-best actions across conditions are determined by performing a recursive tree search of the database and assuming that unknown factors are now known to generate a score for each assumption.

Abstract: A computational evidence platform extracts clinical concepts from medical evidence sources and creates a database of elemental diagnostic factors and elemental investigations links to medical conditions. Input from a person groups factors and investigations makes corrections and adds a ranking. Elemental factors and investigations do not include information specific to their associated conditions but include synonyms and a link to a medical ontology. A patient state is determined by extracting patient known diagnostic factors and investigation results from the patient chart. These known factors and results are matched to the database and a ranking of likely conditions are output. Next-best actions per condition are output by determining factors not yet known and investigations not yet performed. Next-best actions across conditions are determined by performing a recursive tree search of the database and assuming that unknown factors are now known to generate a score for each assumption.

Abstract: A next-best-action system includes real-time operation and off-line training and processes. During off-line training databases of medical conditions and associated diagnostic factors, tests and treatments are used to create models used for later natural language processing of input electronic text. Diagnostic factors are ranked according to the probability that they indicate conditions and are stored in a matrix. Treatments corresponding to conditions are also stored in a matrix. During real-time operation electronic text is received from patient history of an EHR system, from a transcribed conversation between a physician and a patient, or from input that the physician makes in the EHR system or in an overlaid diagnostic user interface. The electronic text is processed by an NLP pipeline that derives clinical diagnostic factors and test results for the patient.

Abstract: A next-best-action system includes real-time operation and off-line training and processes. During off-line training databases of medical conditions and associated diagnostic factors, tests and treatments are used to create models used for later natural language processing of input electronic text. Diagnostic factors are ranked according to the probability that they indicate conditions and are stored in a matrix. Treatments corresponding to conditions are also stored in a matrix. During real-time operation electronic text is received from patient history of an EHR system, from a transcribed conversation between a physician and a patient, or from input that the physician makes in the EHR system or in an overlaid diagnostic user interface. The electronic text is processed by an NLP pipeline that derives clinical diagnostic factors and test results for the patient.

Abstract: A next-best-action system includes real-time operation and off-line training and processes. During off-line training databases of medical conditions and associated diagnostic factors, tests and treatments are used to create models used for later natural language processing of input electronic text. Diagnostic factors are ranked according to the probability that they indicate conditions and are stored in a matrix. Treatments corresponding to conditions are also stored in a matrix. During real-time operation electronic text is received from patient history of an EHR system, from a transcribed conversation between a physician and a patient, or from input that the physician makes in the EHR system or in an overlaid diagnostic user interface. The electronic text is processed by an NLP pipeline that derives clinical diagnostic factors and test results for the patient.

Abstract: A next-best-action system includes real-time operation and off-line training and processes. During off-line training databases of medical conditions and associated diagnostic factors, tests and treatments are used to create models used for later natural language processing of input electronic text. Diagnostic factors are ranked according to the probability that they indicate conditions and are stored in a matrix. Treatments corresponding to conditions are also stored in a matrix. During real-time operation electronic text is received from patient history of an EHR system, from a transcribed conversation between a physician and a patient, or from input that the physician makes in the EHR system or in an overlaid diagnostic user interface. The electronic text is processed by an NLP pipeline that derives clinical diagnostic factors and test results for the patient.

Abstract: A pull-activated applicator includes a barrel, a pledget, a finger grip, and a deployment element. The pledget includes a withdrawal string and is located within the barrel. The barrel, the pledget, and the deployment element are configured such that application of a force to the deployment element in a first direction deploys the pledget and withdrawal string from the barrel in a second direction generally opposite the first direction.

Abstract: A pull-activated applicator includes a barrel, a pledget, a finger grip, and a deployment element. The pledget includes a withdrawal string and is located within the barrel. The barrel, the pledget, and the deployment element are configured such that application of a force to the deployment element in a first direction deploys the pledget and withdrawal string from the barrel in a second direction generally opposite the first direction.

Abstract: A pull-activated applicator includes a barrel, a pledget, a finger grip, and a deployment element. The pledget includes a withdrawal string and is located within the barrel. The barrel, the pledget, and the deployment element are configured such that application of a force to the deployment element in a first direction deploys the pledget and withdrawal string from the barrel in a second direction generally opposite the first direction.

Abstract: Provided is a quinoline derivative of Chemical Formula (I): wherein, R1 is a substituted or unsubstituted phenyl group, R2 is a halogen, and R3 is a substituted or unsubstituted phenyl group, and one of the carbon atoms in the phenyl ring of the phenyl group is optionally substituted by a nitrogen atom (N). The quinoline derivative can efficiently inhibit cancer cell proliferation and can be used for treating cancer, especially for treating cancers related to the Janus kinase-signal transducers and activators of transcription (JAK-STAT) pathway and/or the mitogen-activated protein kinase (MAPK) pathway.

Abstract: Provided is a quinoline derivative of Chemical Formula (I): wherein, R1 is a substituted or unsubstituted phenyl group, R2 is a halogen, and R3 is a substituted or unsubstituted phenyl group, and one of the carbon atoms in the phenyl ring of the phenyl group is optionally substituted by a nitrogen atom (N). The quinoline derivative can efficiently inhibit cancer cell proliferation and can be used for treating cancer, especially for treating cancers related to the Janus kinase-signal transducers and activators of transcription (JAK-STAT) pathway and/or the mitogen-activated protein kinase (MAPK) pathway.

Abstract: A pull-activated applicator includes a barrel, a pledget, a finger grip, and a deployment element. The pledget includes a withdrawal string and is located within the barrel. The barrel, the pledget, and the deployment element are configured such that application of a force to the deployment element in a first direction deploys the pledget and withdrawal string from the barrel in a second direction generally opposite the first direction.

Abstract: The child receiving device includes a seat, seat suspension arms for supporting the seat portion, and a support frame for supporting the seat suspension arms and the seat above a supporting surface. Two front seat suspension arms are pivotally connected at their lower ends to opposite front ends of the seat and two rear seat suspension arms are pivotally connected at their lower ends to opposite rear ends of the seat. The support frame includes a suspension guide, the upper ends of the front and rear seat suspension arms being pivotally connected to the suspension guide. The suspension guide includes a slot along which the upper ends of the front seat suspension arms may be moved toward and away from the upper ends of the rear seat suspension arms.

Abstract: The child receiving device of the present invention includes a seat, seat suspensions arms for supporting the seat portion, and a support frame for supporting the seat suspension arms and the seat above a supporting surface. Two front seat suspension arms are pivotally connected at their lower ends to opposite front ends of the seat and two rear seat suspension arms are pivotally connected at their lower ends to opposite rear ends of the seat. The support frame includes a suspension guide, the upper ends of the front and rear seat suspension arms being pivotally connected to the suspension guide. The suspension guide includes a slot along which the upper ends of the front seat suspension arms may be moved toward and away from the upper ends of the rear seat suspension arms.

Abstract: A microscale air-cleaning device is provided that includes an integrated circuit chip, carbon nanotubes, and a power supply. The carbon nanotubes are assembled on the integrated circuit chip and are connected with the integrated circuit chip. The power supply is provided for powering the integrated circuit chip.

Abstract: The invention disclosed herein relates to an explosive capable of enhanced combustion efficiently capable of sustaining a high pressure over a period of time in a confined environment, such as an air tight room or a cave, where oxygen may be in limited supply. An embodiment of the present invention is a metal composite that combines a binder, a reactive metal and an oxidizer. In another embodiment, a plasticizer and a catalyst may be added. In a preferred embodiment of the present invention, a solid fuel-air explosive (SFAE) having an annular design is used. In a typical annular design, a cylindrical shell of SFAE surrounds the cylindrically shaped high explosive. The SFAE may be selected from the group consisting of reactive metal and metal composite. In addition, the metal composite is formed from at least one reactive metal, at least one binder and an oxidizer.

Abstract: The use of compounds of the milbemycin class as inhibitors of efflux pumps in microbes or other cells is described, along with pharmaceutical compositions incorporating a milbemycin. Also described is a method of screening for compounds which inhibit a CDR1, CDR2, BEN, or FLU1 efflux pump or a pump with components having a high level of protein level sequence similarity with the components of those efflux pumps.