Abstract: The present disclosure selects third party content based on feedback. A selector identifies several content items including first and second content items (or more) responsive to a request. A machine learning engine determines a first feature of the first content item, a second feature of the second content item, and a third feature of the web page or a device associated with the request. The machine learning engine determines, responsive to the first feature and the third feature, a first score for the first content item based on a machine learning model generated using historical signals received from devices via a metadata channel formed from an electronic feedback interface. The machine learning engine determines a second score for the second content item responsive to the second feature and the third feature. A bidding module determines a price for the first content item based on the first and second scores.

Abstract: Systems and methods are described herein for interpreting natural language search queries that account for contextual relevance of words of the search query that would ordinarily not be processed, including, for example, processing each word of the query. Each term is associated with a respective part of speech, and a frequency of occurrence of each term in content metadata is determined. A relevance of each term is then determined based on its respective part of speech and frequency. The natural language search query is then interpreted based on the importance or relevance of each term.

Abstract: Systems and methods for handling multilingual queries are provided. One example method includes receiving, at a computing device, an input, wherein the input comprises a multi-lingual query comprising at least a first source language and a second source language. The multi-lingual query is translated, word for word, into a destination language to produce a monolingual query, with the word order of the multilingual query and the word order of the monolingual query being the same. The monolingual query is processed using natural language processing to map the mono-lingual query to a natural language query in the destination language.

Abstract: Using retired pages history for instruction translation lookaside buffer (TLB) prefetching in processor-based devices is disclosed herein. In some exemplary aspects, a processor-based device is provided. The processor-based device comprises a history-based instruction TLB prefetcher (HTP) circuit configured to determine that a first instruction of a first page has been retired. The HTP circuit is further configured to determine a first page virtual address (VA) of the first page. The HTP circuit is also configured to determine that the first page VA differs from a value of a last retired page VA indicator of the HTP circuit. The HTP circuit is additionally configured to, responsive to determining that the first page VA differs from the value of the last retired page VA indicator of the HTP circuit, store the first page VA as the value of the last retired page VA indicator.

Abstract: A pharmaceutical composition for preparation of an orally administered liquid solution containing a therapeutically sufficient dose of dissolved balsalazide. The composition further comprises three artificial sweeteners comprising sucralose, acesulfame potassium and ammonium glycyrrhizinate that unexpectedly mitigate the bitter attributes of the orally administered liquid balsalazide solution that would otherwise render the solution unpalatable. More particularly, the present disclosure relates to a composition of the three artificial sweeteners and a therapeutically sufficient dose of balsalazide for the treatment of bowel disorders such as ulcerative colitis. Unit dose sachets of balsalazide disodium 750 mg and 2,250 mg of powder to oral solution are also disclosed.

Abstract: In an aspect of the disclosure, a method, a computer-readable medium, and a computer system are provided. The computer system includes a BMC. The BMC determines a booting configuration based on setting of the BMC. The BMC determines, from a firmware image and according to the booting configuration, a group of components, of an OS of the BMC, to be loaded into a memory of the BMC. The BMC determines, from the firmware image, storage locations of the group of components. The BMC obtains a first set of components of the group from one or more network locations according to the storage locations.

Abstract: Insertion of supplemental content into a virtual environment is automated using a machine learning model. The machine learning model is trained to calculate a confidence value that a candidate virtual object fits into a virtual environment based on an input that includes a candidate virtual object, a list of persistent virtual objects, and a list of temporary virtual objects. The machine learning model is trained using the persistent and temporary objects displayed in the current virtual environment until it predicts that a selected virtual object fits into the current virtual environment. The trained machine learning model is then used to select a virtual object comprising supplemental content to be inserted as a new virtual object in the virtual environment.

Abstract: Embodiments of the present invention provide an osseointegrative implant and related tools, components and fabrication techniques for surgical bone fixation and dental restoration purposes. In one embodiment an all-ceramic single-stage threaded or press-fit implant is provided having finely detailed surface features formed by ceramic injection molding and/or spark plasma sintering of a powder compact or green body comprising finely powdered zirconia. In another embodiment a two-stage threaded implant is provided having an exterior shell or body formed substantially entirely of ceramic and/or CNT-reinforced ceramic composite material. The implant may include one or more frictionally anisotropic bone-engaging surfaces.

Abstract: Systems and methods are described for modifying a phonetic search index based on a use frequency associated with phonetic representations of text terms included in metadata of a media item. A first phonetic representation of a text term of the metadata, pronounced as a word, may be generated. A second phonetic representation of the text term may be generated by concatenating a phonetic representation of each letter in the text term. A database may be queried to determine use frequencies of the first and second phonetic representations, one of which may be selected based on a comparison of the use frequencies. A phonetic search index may be modified by including an entry for the selected phonetic representation. A voice query related to the media item may be received, and a reply to the voice query may be generated for output by performing a lookup in the modified phonetic search index.

Abstract: Systems and methods are described herein such that, a media guidance application presents, in an interactive program guide, a virtual content source for binge watching a program series. The media guidance application may determine a program series a user is currently watching. The media guidance application may receive a user selection of a media asset. The media guidance application may determine a length of time between a current time and a start time of the media asset. The media guidance application may determine the next episodes of the program series the user can watch before the start time of the media asset and present them using a virtual content source.

Abstract: In an aspect of the disclosure, a method, a computer-readable medium, and a computer system are provided. The computer system includes a BMC. The BMC determines a booting configuration based on setting of the BMC. The BMC determines, from a firmware image and according to the booting configuration, a group of components, of an OS of the BMC, to be loaded into a memory of the BMC. The BMC determines, from the firmware image, storage locations of the group of components. The BMC obtains a first set of components of the group from one or more network locations according to the storage locations.

Abstract: Disclosed is the novel use of some Aza-podophyllotoxin derivatives (AZPs) for modulation of the immune system (immunomodulation), including a method for modulating an immune response comprising administering to a subject an effective amount of at least one Aza-podophyllotoxin derivative of general formula wherein A-ring is selected from the group consisting of 1,3-dioxolane, cyclopentane, 1,4-dioxane, one methoxy, two methoxys, and ethyl; and wherein E-ring is selected from the group consisting of dimethoxyanisole, veratrol, anisole, benzene, syringol, bromobenzene, chlorobenzene, 1,2-dichlorobenzene, 2,3-dimethoxybenzene, 3,4,5-trimethoxybenzene.

Abstract: Systems and methods are presented herein for generating a new language understanding model, based on a user request. A user may input a root language and a locale into an application for generating a student language model. The application may generate the student language model and may identify a teacher language model related to the student language model. The application may compare data from the identified teacher language model to the student language model. The application may determine a subset of data from the teacher language model is not contained in the student language model. If the application determines at least a subset of data from the teacher language model is not in the student language model, the application may add at least the subset of data from the teacher language model to the student language model.

Abstract: Systems and methods are described to access a set of reattempt query pairs, where each respective pair comprises an initial query and a reattempt of the initial query, and is associated with an indication of whether a reply generated for output based on the respective query pair was acceptable. In response to determining that a second query received after a first query constitutes a reattempt of the first query, a query pair in the set of reattempt query pairs may be identified that matches at least one of the first query and the second query, and is associated with an indication that a reply generated for output based on the query pair was acceptable. A search may be performed based on the identified query pair in the set of reattempt query pairs, and a reply may be generated for output based on the performed search.

Abstract: Techniques described herein relate to a method for performing knowledge extraction and noise removal for prediction models. The method includes obtaining, by a prediction system, live tabular data; in response to obtaining live tabular data: performing data preprocessing on the live tabular data to generate processed live tabular data; generating a knowledge vector based on the processed live tabular data using a dimensionality reduction model and a tabular attention model; generating a prediction using a prediction model and the knowledge vector; and providing the prediction to a client; wherein the client performs prediction processing using the prediction.

Abstract: A remote brake fluid reservoir, a remote brake fluid reservoir connected to a brake cylinder, vehicle assemblies with the same, parts facilitating the vehicle assemblies, and methods of manufacturing, integrating, and using the same are described herein. The remote brake fluid reservoir and the brake cylinder may be separated by a bulkhead on a body of a vehicle. Additionally, a brake fluid path can extend from the brake fluid reservoir to the brake cylinder through an opening in the bulkhead, the opening in the bulkhead having a seal. The remote brake fluid reservoir may be mounted within a front compartment of the vehicle. A center line of the brake fluid reservoir can be aligned with a center line of the vehicle. In addition, the brake cylinder may be located in a different compartment of the vehicle, such as a cabin of the vehicle, for example.

Abstract: Application, in a single software instrument, of AI and advanced statistics methods for monitoring and analyzing quality problems over the whole lifecycle of a product is provided. A method based on web scraping techniques and AI for monitoring the product out of the warranty period is also provided.

Abstract: The present invention is related to the novel oral dosage form for sustained release of crocin-1, a active constituent of Crocus sativus extract or fraction and a process for preparing the same wherein the extract is wet-granulated using excipients, biodegradable polymers and/or non-biodegradable polymers alone or in combination. The said formulations are useful for the treatment of chronic inflammatory diseases wherein NLRP3 inflammasome is involved.

Abstract: The present invention relates to a mixed complex soap based grease composition comprising a lubricating base oil; a saponifiable material; a metal oxide; an alkali/alkaline metal hydroxide; and a complexing acid. The present invention also discloses a single-step, open kettle, energy-efficient process which gives smooth textured zinc-alkali/alkaline earth metal mixed complex grease composition with relatively low thickener content while still maintaining desired consistency. The zinc-alkali/alkaline earth metal mixed complex grease composition is tailor made to have dropping point in a range of 180° C. to 300° C. comparable to lithium and lithium complex grease composition, have inherent oxidation stability, extreme pressure, anti-wear properties, and water resistance properties. The zinc-alkali/alkaline earth metal mixed complex grease composition shows excellent additive response good mechanical stability, low temperature properties, pumpability, and corrosion resistance.

Abstract: In some aspects, control circuitry receives and stores a user-specified time duration to associate with a skip-forward command. When the user later issues a skip-forward command to advance playback of a media asset to a desired location, the control circuitry retrieves the stored time duration, and determines an expected overshoot value associated with the skip-forward command. The control circuitry then compensates for the expected overshoot by calculating a new location in the media asset based on both the retrieved time duration and expected overshoot value. Upon advancing to the new location, the media asset is played back in a fast-forward mode, e.g., at a speed higher than normal speed.