Abstract: The present invention provides for a method for scouring wool by contacting the wool with an aqueous composition comprising an alcohol alkoxylate, water, and optional additives such as hydrotropes serving as stabilizer and/or dispersant. The compositions were found to exhibit both high detergency in wool scouring, and high stability when stored at room temperature or a lower temperature, while still remain lanolin recovery rate at a high level.

Abstract: A nonlinear resonator is presented that enhances the bandwidth while providing high resonance amplitude. The nonlinear resonance circuit is comprised of an inductor electrically coupled to a capacitor, where either the inductor or capacitor is nonlinear. Response of the nonlinear resonance circuit to an excitation signal is described by a family of second-order differential equations with cubic-order nonlinearity, known as Duffing equations.

Abstract: An unstructured data analytics system, including: an unstructured data analytics algorithm resident on a server and accessible via a browser operable for receiving unstructured data from one or more remote sources, applying one or more analytical tools to the unstructured data, and displaying summary information to one or more users; wherein the summary information is displayed to the one or more users in a presentation layer, an exploration layer, and an annotation layer. The unstructured data analytics algorithm is also operable for receiving outside data from one or more remote sources. The presentation layer displays one or more of the unstructured data a summary of the unstructured data, and the summary information. The exploration layers allows the one or more users to modify the granularity of the summary information, thereby modifying the granularity of the presentation layer. The one or more users can interact with the unstructured data analytics system simultaneously via the annotation layer.

Abstract: Foreground objects of interest are distinguished from a background model by dividing a region of interest of a video data image into a grid array of individual cells. Each of the cells are labeled as foreground if accumulated edge energy within the cell meets an edge energy threshold, or if color intensities for different colors within each cell differ by a color intensity differential threshold, or as a function of combinations of said determinations.

Abstract: Prostate cancer is the most commonly diagnosed cancer in males and one of the leading causes of cancer death. Although treatment options have increased for some patients, overall progress has been modest. Thus, there is a great need to develop new treatments. This invention relates to a method for treating cancer comprising using an anti-cancer compound of formula (I): More particularly, it relates to said anti-prostate cancer compound that can be isolated from Garcinia esculenta or chemically synthesized and its specific anticancer/antitumor activity. The invention has a specific application in treating human prostate cancer.

Abstract: A power generation performance evaluation method and an apparatus thereof for a generator set are provided according to the embodiments of the present invention, which are related to the technical field of power apparatuses and are able to provide an accurate evaluation for the power generation performance of the generator set in combination with historical operation data of the generator set.

Abstract: Foreground objects of interest are distinguished from a background model by dividing a region of interest of a video data image into a grid array of individual cells. Each of the cells are labeled as foreground if accumulated edge energy within the cell meets an edge energy threshold, or if color intensities for different colors within each cell differ by a color intensity differential threshold, or as a function of combinations of said determinations.

Abstract: Systems and methods are disclosed for classifying vehicles by performing scale aware detection; performing detection assisted sampling for convolutional neural network (CNN) training, and performing deep CNN fine-grained image classification to classify the vehicle type.

Abstract: Systems and methods are disclosed for training a learning machine by augmenting data from fine-grained image recognition with labeled data annotated by one or more hyper-classes, performing multi-task deep learning; allowing fine-grained classification and hyper-class classification to share and learn the same feature layers; and applying regularization in the multi-task deep learning to exploit one or more relationships between the fine-grained classes and the hyper-classes.

Abstract: The present invention generally relates to a viscoelastic fluids, thickened acid compositions and the like and to methods of using said gelled compositions. The thickened compositions of the present invention can usefully be employed in methods of stimulating and/or modifying the permeability of underground formations, in drilling fluids, completion fluids, workover fluids, acidizing fluids, fracturing, gravel packing and the like.

Abstract: Cervical cancer is one of the most common malignancies and is associated with a dismal prognosis. The most common therapeutic option for cervical cancer consists of surgery in early stages, and chemotherapy or radiotherapy in more advanced stages of the disease. Although treatment options have increased for some patients, overall progress has been modest. This invention relates to a method for treating cancer comprising administering an anti-cancer compound. More particularly, the present invention relates to an anti-cervical-cancer compound for treating human cervical cancer and tumor.

Abstract: There are provided gypsum panels, sheets and multi-layer sheets as well as methods of preparation thereof. For example, there are provided cellulose filament-reinforced gypsum panels, sheets and multi-layer sheets and methods of preparation thereof. For example, in such gypsum panels, sheets and multi-layer sheets gypsum is bound with cellulose filaments to strengthen the gypsum panels, sheets and multi-layer sheets. The cellulose filament-reinforced gypsum panel can be, for example, a core comprising a honeycomb or corrugated structure. There are also provided aqueous suspensions comprising cellulose filaments and CaSO4.2H2O.

Abstract: The present invention is directed to a nitrogen containing surfactant composition comprising at least one nitrogen containing surfactant of structure (h) or structure (i). The nitrogen containing surfactant of structure (h) is as shown below: Structure (h). The nitrogen containing surfactant of structure (i) is as shown below: Structure (i). The present invention is also directed to an agricultural composition comprising at least one agrochemical and at least one nitrogen containing surfactant composition of the present invention.

Abstract: Foreground objects of interest are distinguished from a background model by dividing a region of interest of a video data image into a grid array of individual cells. Each of the cells are labeled as foreground if accumulated edge energy within the cell meets an edge energy threshold, or if color intensities for different colors within each cell differ by a color intensity differential threshold, or as a function of combinations of said determinations.

Abstract: An object detector includes a bottom-up object hypotheses generation unit; a top-down object search with supervised descent unit; and an object re-localization unit with a localization model.

Abstract: An object detector includes a bottom-up object hypotheses generation unit; a top-down object search with supervised descent unit; and an object re-localization unit with a localization model.

Abstract: Systems and methods are disclosed for detecting an object in an image by determining convolutional neural network responses on the image; mapping the responses back to their spatial locations in the image; and constructing features densely extract shift invariant activations of a convolutional neural network to produce dense features for the image.

Abstract: Foreground objects of interest are distinguished from a background model by dividing a region of interest of a video data image into a grid array of individual cells. Each of the cells are labeled as foreground if accumulated edge energy within the cell meets an edge energy threshold, or if color intensities for different colors within each cell differ by a color intensity differential threshold, or as a function of combinations of said determinations.

Abstract: Computerized methods and systems for the analysis of textual data, including: receiving, from one or more memories at one or more processors, textual data; using the processors, formatting the textual data for analysis and applying a probabilistic topic model to the textual data to extract semantically meaningful topics that collectively describe it; using a keyword weighting module, generating a topic cloud view representing the topics as a tagcloud with each being associated with a plurality of keywords; using a topic ordering module, generating a document distribution view representing a distribution of the textual data across multiple topics; using a document entropy calculation module, generating a document scatterplot view representing how many topics are attributable to the textual data; using a temporal topic trend calculation module, generating a temporal view representing changes in the occurrence of topics over time; and displaying one or more of the views to a user.

Abstract: Systems and methods are disclosed to respond to a query for one or more images by using a processor, applying an indexing strategy which processes images as grouplets rather than individual single images; generating a two layer indexing structure with a group layer, each associated with one or more images in an image layer; cross-indexing the images into two or more groups; and retrieving near duplicate images with the cross-indexed images and the grouplets.