Abstract: Disclosed is an isolated strain of a previously unknown Staphylococcus, Staphylococcus pseudolugdunensis. Also disclosed are the sequences of the S. pseudolugdunensis tuf gene and 16s rRNA and methods for distinguishing S. pseudolugdunensis from other staphylococcal species.

Abstract: Disclosed is a method for isolating, and thereby concentrating, microorganisms from mammalian blood. The method may be used in conjunction with PCR amplification of the DNA/RNA of the microorganism(s) to identify pathogenic microorganisms within the blood without requiring that those organisms be cultured as a first step in the identification process.

Abstract: A drive circuit comprising: a direct current power source; a control unit for supplying control signals; a power switch topology comprising a first switch and a second switch each having an input terminal, an output terminal, and a control terminal, the input terminals being respectively connected to the power source, the control terminals being connected to the control unit for receiving the control signals there from, the output terminals being connected to a node; and an inductance connected with a capacitive load in series between the node and the power source, wherein the control signals control the switches to alternately conduct to thereby cause the node to output a pulse signal.

Abstract: Disclosed is a method for amplifying RNA and/or DNA from immune cell populations and using the amplified products to produce an immune response profile and evaluate the possible correlation between a normal or abnormal immune response and the development of a disease such as an autoimmune disease, cancer, diabetes, or heart disease.

Abstract: Disclosed is a method for amplifying and detecting polynucleotides which can provide sensitive, specific detection of multiple targets from a clinical specimen within a relatively short time.

Abstract: A language input architecture converts input strings of phonetic text to an output string of language text. The language input architecture has a search engine, one or more typing models, a language model, and one or more lexicons for different languages. The typing model is configured to generate a list of probable typing candidates that may be substituted for the input string based on probabilities of how likely each of the candidate strings was incorrectly entered as the input string. The language model provides probable conversion strings for each of the typing candidates based on probabilities of how likely a probable conversion output string represents the candidate string. The search engine combines the probabilities of the typing and language models to find the most probable conversion string that represents a converted form of the input string.

Abstract: A language input architecture receives input text (e.g., phonetic text of a character-based language) entered by a user from an input device (e.g., keyboard, voice recognition). The input text is converted to an output text (e.g., written language text of a character-based language). The language input architecture has a user interface that displays the output text and unconverted input text in line with one another. As the input text is converted, it is replaced in the UI with the converted output text. In addition to this in-line input feature, the UI enables in-place editing or error correction without requiring the user to switch modes from an entry mode to an edit mode. To assist with this in-place editing, the UI presents pop-up windows containing the phonetic text from which the output text was converted as well as first and second candidate lists that contain small and large sets of alternative candidates that might be used to replace the current output text.

Abstract: Described is a novel method for the detection of ncRNA molecules. The disclosed method is especially useful for the detection miRNA and siRNA. The method can be used to generate a profile of the ncRNA molecules present in a sample. In addition, using the methods of the present disclosure a ncRNA signature for a given disease or condition can be created. The ncRNA signature can be used for diagnostic purposes, therapeutic purposes and drug discovery purposes, as well as other uses.

Abstract: A language input architecture converts input strings of phonetic text to an output string of language text. The language input architecture has a search engine, typing models, a language model, and one or more lexicons for different languages. Each typing model is trained on real data, and learns probabilities of typing errors. The typing model is configured to generate a list of probable typing candidates that may be substituted for the input string based on probabilities of how likely each of the candidate strings was incorrectly entered as the input string. The language model provides probable conversion strings for each of the typing candidates based on probabilities of how likely a probable conversion output string represents the candidate string. The search engine combines the probabilities of the typing and language models to find the most probable conversion string that represents a converted form of the input string.

Abstract: A language input architecture converts input strings of phonetic text (e.g., Chinese Pinyin) to an output string of language text (e.g., Chinese Hanzi) in a manner that minimizes typographical errors and conversion errors that occur during conversion from the phonetic text to the language text. The language input architecture has a search engine, one or more typing models, a language model, and one or more lexicons for different languages. Each typing model is trained on real data, and learns probabilities of typing errors. The typing model is configured to generate a list of probable typing candidates that may be substituted for the input string based on probabilities of how likely each of the candidate strings was incorrectly entered as the input string.

Abstract: A language input architecture converts input strings of phonetic text (e.g., Chinese Pinyin) to an output string of language text (e.g., Chinese Hanzi) in a manner that minimizes typographical errors and conversion errors that occur during conversion from the phonetic text to the language text. The language input architecture has a search engine, one or more typing models, a language model, and one or more lexicons for different languages. Each typing model is trained on real data, and learns probabilities of typing errors. The typing model is configured to generate a list of probable typing candidates that may be substituted for the input string based on probabilities of how likely each of the candidate strings was incorrectly entered as the input string. The probable typing candidates may be stored in a database. The language model provides probable conversion strings for each of the typing candidates based on probabilities of how likely a probable conversion output string represents the candidate string.

Abstract: A language input architecture receives input text (e.g., phonetic text of a character-based language) entered by a user from an input device (e.g., keyboard, voice recognition). The input text is converted to an output text (e.g., written language text of a character-based language). The language input architecture has a user interface that displays the output text and unconverted input text in line with one another. As the input text is converted, it is replaced in the UI with the converted output text. In addition to this in-line input feature, the UI enables in-place editing or error correction without requiring the user to switch modes from an entry mode to an edit mode. To assist with this in-place editing, the UI presents pop-up windows containing the phonetic text from which the output text was converted as well as first and second candidate lists that contain small and large sets of alternative candidates that might be used to replace the current output text.

Abstract: A language input architecture converts input strings of phonetic text to an output string of language text. The language input architecture has a search engine, one or more typing models, a language model, and one or more lexicons for different languages. The typing model is configured to generate a list of probable typing candidates that may be substituted for the input string based on probabilities of how likely each of the candidate strings was incorrectly entered as the input string. The language model provides probable conversion strings for each of the typing candidates based on probabilities of how likely a probable conversion output string represents the candidate string. The search engine combines the probabilities of the typing and language models to find the most probable conversion string that represents a converted form of the input string.

Abstract: A language input architecture converts input strings of phonetic text to an output string of language text. The language input architecture has a search engine, one or more typing models, a language model, and one or more lexicons for different languages. The typing model is configured to generate a list of probable typing candidates that may be substituted for the input string based on probabilities of how likely each of the candidate strings was incorrectly entered as the input string. The language model provides probable conversion strings for each of the typing candidates based on probabilities of how likely a probable conversion output string represents the candidate string. The search engine combines the probabilities of the typing and language models to find the most probable conversion string that represents a converted form of the input string.

Abstract: Disclosed is a new methodology for detecting and/or quantitating nucleic acid sequences, termed “Reporter Oligo Capturing After Specific Hybridization,” (ROCASH). As described above, the prior art methods for detection of nucleic acid samples are often forced to trade sensitivity in the detection assay to achieve increased specificity. In this method, unlike the prior art methods, the specificity of hybridization and the sensitivity of the detection step are provided by different nucleic acid sequences hybridizing in different steps of the method. Therefore, conditions for these critical steps may be optimized independently of each other.

Abstract: The present invention provides a kneading head of massage machine that consists of a connecting rod and a set of spherical heads. One set of the spherical heads includes two and more; all the spherical heads located on ends of the connecting rod in different heights, or all the spherical heads can be integrated with the connecting rod into a whole body. When the massage machine adapting the kneading head is used on the human body, the stepped spherical heads will effort a great pushing force and a great pressing force on surface and deeper skin of the muscle of the human body simultaneously at different heights and positions so as to carry on massage in kneading method with a better effect for meeting the necessaries of the customers.

Abstract: Disclosed is a method and composition of matter for PCR-based gene dosage analysis. The invention provides internal control DNA sequences that are the same length and same G-C content. The method does not require sized separation of the amplified products. Instead, the method utilizes hybridization and ELISA like colormetric screening. The invention further provides for tightly controlled internal standards for comparing gene dosage by placing one copy of various chromosome markers on one plasmid.