Abstract: A liquid sampling device for use with a mobile device comprises a wired connection for connecting the liquid sampling device to the mobile device, a sample receiving and testing section capable of receiving a liquid sample and conducting electrochemical testing of the liquid sample and a sample testing circuit configured to communicate at least one liquid sample test result to the mobile device via the wired connection. Associated methods and a mobile device application for interfacing with the liquid sampling device are also disclosed.

Abstract: Computer-implemented systems and methods are provided for automatically scoring the content of moderately predictable responses. For example, a computer performing the content scoring analysis can receive a response (either in text or spoken form) to a prompt. The computer can determine the content correctness of the response by analyzing one or more content features. One of the content features is analyzed by applying one or more regular expressions, determined based on training responses associated with the prompt. Another content feature is analyzed by applying one or more context free grammars, determined based on training responses associated with the prompt. Another content feature is analyzed by applying a keyword list, determined based on the test prompt eliciting the response and/or stimulus material. Another content feature is analyzed by applying one or more probabilistic n-gram models, determined based on training responses associated with the prompt.

Abstract: Systems and methods are provided for automated detection of plagiarized spoken responses. A spoken response is processed to generate a text that is representative of the spoken response. The text is processed to remove disfluencies in the text and to identify a plurality of sentences in the text. A first numerical measure indicative of a number of words and phrases of the text that are included verbatim in a source text is determined. The source text has been designated as a source of plagiarized content. A second numerical measure indicative of an amount of the text that paraphrases portions of the source text is determined. A third numerical measure indicative of a similarity between sentences of the text and sentences of the source text is determined. A model is applied to the first, second, and third numerical measures to classify the spoken response as being plagiarized or non-plagiarized.

Abstract: Systems and methods are provided for automated detection of plagiarized spoken responses. A spoken response is processed to generate a text that is representative of the spoken response. The text is processed to remove disfluencies in the text and to identify a plurality of sentences in the text. A first numerical measure indicative of a number of words and phrases of the text that are included verbatim in a source text is determined. The source text has been designated as a source of plagiarized content. A second numerical measure indicative of an amount of the text that paraphrases portions of the source text is determined. A third numerical measure indicative of a similarity between sentences of the text and sentences of the source text is determined. A model is applied to the first, second, and third numerical measures to classify the spoken response as being plagiarized or non-plagiarized.

Abstract: A liquid sampling device for use with a mobile device comprises a wired connection for connecting the liquid sampling device to the mobile device, a sample receiving and testing section capable of receiving a liquid sample and conducting electrochemical testing of the liquid sample and a sample testing circuit configured to communicate at least one liquid sample test result to the mobile device via the wired connection. Associated methods and a mobile device application for interfacing with the liquid sampling device are also disclosed.

Abstract: Computer-implemented systems and methods are provided for automatically scoring the content of moderately predictable responses. For example, a computer performing the content scoring analysis can receive a response (either in text or spoken form) to a prompt. The computer can determine the content correctness of the response by analyzing one or more content features. One of the content features is analyzed by applying one or more regular expressions, determined based on training responses associated with the prompt. Another content feature is analyzed by applying one or more context free grammars, determined based on training responses associated with the prompt. Another content feature is analyzed by applying a keyword list, determined based on the test prompt eliciting the response and/or stimulus material. Another content feature is analyzed by applying one or more probabilistic n-gram models, determined based on training responses associated with the prompt.

Abstract: The present invention relates to compositions and methods for characterizing, treating and diagnosing cancer. In particular, the present invention provides a cancer stem cell profile, as well as novel stem cell cancer markers useful for the diagnosis, characterization, prognosis and treatment of cancer and in particular the targeting of solid tumor stem cells.

Abstract: The present invention relates to compositions and methods for treating, characterizing, and diagnosing cancer. In particular, the present invention provides gene expression profiles and signatures associated with solid tumor stem cells, as well as novel stem cell cancer markers useful for the diagnosis, characterization, prognosis and treatment of solid tumor stem cells. More particularly, the present invention identifies two profiles of cancer stem cells useful for the diagnosis, characterization, and treatment of cancer and cancer metastases. The invention also provides a variety of reagents such as stem cell gene signatures for use in the diagnosis and management of cancer.

Abstract: The present invention relates to compositions and methods for treating, characterizing, and diagnosing cancer. In particular, the present invention provides gene expression profiles and signatures associated with solid tumor stem cells, as well as novel stem cell cancer markers useful for the diagnosis, characterization, prognosis and treatment of solid tumor stem cells. More particularly, the present invention identifies two profiles of cancer stem cells useful for the diagnosis, characterization, and treatment of cancer and cancer metastases. The invention also provides a variety of reagents such as stem cell gene signatures for use in the diagnosis and management of cancer.

Abstract: The present invention relates to compositions and methods for characterizing, treating and diagnosing cancer. In particular, the present invention provides a cancer stem cell profile, as well as novel stem cell cancer markers useful for the diagnosis, characterization, prognosis and treatment of cancer and in particular the targeting of solid tumor stem cells.

Abstract: The present invention relates to compositions and methods for characterizing, treating and diagnosing cancer. In particular, the present invention provides a cancer stem cell profile, as well as novel stem cell cancer markers useful for the diagnosis, characterization, prognosis and treatment of cancer and in particular the targeting of solid tumor stem cells.

Abstract: The present invention relates to compositions and methods for treating, characterizing, and diagnosing cancer. In particular, the present invention provides gene expression profiles and signatures associated with solid tumor stem cells, as well as novel stem cell cancer markers useful for the diagnosis, characterization, prognosis and treatment of solid tumor stem cells. More particularly, the present invention identifies two profiles of cancer stem cells useful for the diagnosis, characterization, and treatment of cancer and cancer metastases. The invention also provides a variety of reagents such as stem cell gene signatures for use in the diagnosis and management of cancer.

Abstract: The present invention relates to compositions and methods for treating, characterizing, and diagnosing cancer. In particular, the present invention provides gene expression profiles associated with solid tumor stem cells, as well as novel stem cell cancer gene signatures useful for the diagnosis, characterization, prognosis and treatment of solid tumor stem cells.

Abstract: The present invention relates to compositions and methods for characterizing, treating and diagnosing cancer. In particular, the present invention provides a cancer stem cell profile, as well as novel stem cell cancer markers useful for the diagnosis, characterization, prognosis and treatment of cancer and in particular the targeting of solid tumor stem cells.

Abstract: The present invention is related to the identification of cancer stem cells using the MMTV-Wnt-1 transgenic mouse model. These cancer stem cells have a gene expression signature that allows them to be distinguished from their non-tumorigenic counterparts. Moreover, the gene expression pattern can also predict survival in a diverse group of solid tumors.

Abstract: The present invention relates to compositions and methods for treating, characterizing, and diagnosing cancer. In particular, the present invention provides gene expression profiles and signatures associated with solid tumor stem cells, as well as novel stem cell cancer markers useful for the diagnosis, characterization, prognosis and treatment of solid tumor stem cells. More particularly, the present invention identifies two profiles of cancer stem cells useful for the diagnosis, characterization, and treatment of cancer and cancer metastases. The invention also provides a variety of reagents such as stem cell gene signatures for use in the diagnosis and management of cancer.

Abstract: The present invention relates to compositions and methods for treating, characterizing, and diagnosing cancer. In particular, the present invention provides gene expression profiles associated with solid tumor stem cells, as well as novel stem cell cancer gene signatures useful for the diagnosis, characterization, prognosis and treatment of solid tumor stem cells.