Abstract: An apparatus and method for inline scanned image enrichment is provided. The apparatus includes a computing device configured to receive a plurality of subject data, generate a candidate set to model the scan focal points from, digitally capture the slide using the identified focal points through machine-learning processes, processing the captured image to optimize its viewability, and storing the captured image in an accessible repository.

Abstract: Techniques are disclosed to assist an author in creating content variations of a given input text to better suit the mood or the affect preferences of the target audience. Affect distribution in the content is utilized to capture these psycholinguistic preferences. According to one embodiment, in a first phase the optimal/idea psycholinguistic preference for text content aimed at a particular audience segment is determined. In a second phase, a given text content is modified to align to a target language distribution, which was determined in the first phase. In one example case, word level replacement, insertions and deletions are executed to generate a modified and coherent version of the input text. The output text thus reflects the psycholinguistic requirements of the audience.

Abstract: Techniques are disclosed for predicting a tone of a text communication using psycholinguistic features of the text communication. In some examples, a method may include generating a feature vector for a text communication using features, including psycholinguistic features, extracted from the text communication, and predicting a tone of the text communication based on the feature vector. The tone is predicted by a trained prediction module that is trained using psycholinguistic features of text communications in a training set used to train the trained prediction module. The predicted tone is at least one of a predicted measure of frustration, a predicted measure of formality, and a predicted measure of politeness.

Abstract: Techniques are disclosed to assist an author in creating content variations of a given input text to better suit the mood or the affect preferences of the target audience. Affect distribution in the content is utilized to capture these psycholinguistic preferences. According to one embodiment, in a first phase the optimal/idea psycholinguistic preference for text content aimed at a particular audience segment is determined. In a second phase, a given text content is modified to align to a target language distribution, which was determined in the first phase. In one example case, word level replacement, insertions and deletions are executed to generate a modified and coherent version of the input text. The output text thus reflects the psycholinguistic requirements of the audience.

Abstract: Techniques are disclosed for predicting a tone of a text communication using psycholinguistic features of the text communication. In some examples, a method may include generating a feature vector for a text communication using features, including psycholinguistic features, extracted from the text communication, and predicting a tone of the text communication based on the feature vector. The tone is predicted by a trained prediction module that is trained using psycholinguistic features of text communications in a training set used to train the trained prediction module. The predicted tone is at least one of a predicted measure of frustration, a predicted measure of formality, and a predicted measure of politeness.

Abstract: The present invention relates to the effect of naturally occurring compounds on tumor development. As an example of proof, we used low; non-toxic doses of three compound e.g. Calcium D-glucarate, a naturally occurring Ca++ salt of D-glucaric acid; Nicotinamide (NA), a naturally occurring vitamin and butyric acid (BA), a naturally occurring saturated short chain fatty acid. 7,12 dimethylbenzanthracene (DMBA), which is a very potent skin carcinogen and is an environmental pollutant, was used for skin tumor development. Experiment was performed up to 30 weeks. All the above-mentioned compounds were used either alone or concomitantly any two or all the three. In the positive control group 100% tumorigenesis was attained in 28 weeks, use of single compound led to the inhibition of DMBA induced tumorigenesis between 33 to 47%, use of two compounds resulted in the 73 to 80% reduction in tumorigenesis but the concomitant use of three compounds resulted into 100% inhibition of tumor development at the end of 30 weeks.

Abstract: The present invention relates to the effect of naturally occurring compounds on tumor development. As an example of proof, we used low; non-toxic doses of three compound e.g. Calcium D-glucarate, a naturally occurring Ca++ salt of D-glucaric acid; Nicotinamide (NA), a naturally occurring vitamin and butyric acid (BA), a naturally occurring saturated short chain fatty acid. 7,12 dimethylbenzanthracene (DMBA), which is a very potent skin carcinogen and is an environmental pollutant, was used for skin tumor development. Experiment was performed upto 30 weeks. All the above-mentioned compounds were used either alone or concomitantly any two or all the three. In the positive control group 100% tumorigenesis was attained in 28 weeks, use of single compound led to the inhibition of DMBA induced tumorigenesis between 33 to 47%, use of two compounds resulted in the 73 to 80% reduction in tumorigenesis but the concomitant use of three compounds resulted into 100% inhibition of tumor development at the end of 30 weeks.