Abstract: Disclosed herein are methods of preparing composites from solid elastomer(s) and wet filler(s), as well as products, including composites, vulcanizates, and articles therefrom. The wet filler can have a liquid content of at least 15%. A resulting composite comprises the filler dispersed in the elastomer at a loading of at least 20 phr with a filler yield loss of no more than 10%, wherein the composite has a liquid content of no more than 10% by weight based on total weight of said composite.

Abstract: Disclosed herein are methods of preparing composites from solid elastomer(s) and wet filler(s), as well as products, including composites, vulcanizates, and articles therefrom. The wet filler can have a liquid content of at least 15%. A resulting composite comprises the filler dispersed in the elastomer at a loading of at least 20 phr with a filler yield loss of no more than 10%, wherein the composite has a liquid content of no more than 10% by weight based on total weight of said composite.

Abstract: Disclosed herein are methods of preparing composites from solid elastomer(s) and wet filler(s), as well as products, including composites, vulcanizates, and articles therefrom. The wet filler can have a liquid content of at least 15%. A resulting composite comprises the filler dispersed in the elastomer at a loading of at least 20 phr with a filler yield loss of no more than 10%, wherein the composite has a liquid content of no more than 10% by weight based on total weight of said composite.

Abstract: Disclosed herein are methods of preparing composites from solid elastomer(s) and wet filler(s), as well as products, including composites, vulcanizates, and articles therefrom. The wet filler can have a liquid content of at least 15%. A resulting composite comprises the filler dispersed in the elastomer at a loading of at least 20 phr with a filler yield loss of no more than 10%, wherein the composite has a liquid content of no more than 10% by weight based on total weight of said composite.

Abstract: Disclosed herein are methods of preparing composites from solid elastomer(s) and wet filler(s), as well as products, including composites, vulcanizates, and articles therefrom. The wet filler can have a liquid content of at least 15%. A resulting composite comprises the filler dispersed in the elastomer at a loading of at least 20 phr with a filler yield loss of no more than 10%, wherein the composite has a liquid content of no more than 10% by weight based on total weight of said composite.

Abstract: A method for maintaining a therapeutically effective concentration of endoxifen for treatment of a patient with bipolar I disorder is provided. The said method includes administering to the patient, a dose of 2 mg to 16 mg of endoxifen citrate in an enteric coated tablet once per day for at least 21 days. Further, the patient is not required to be administered rescue medication during the administration of the endoxifen citrate.

Abstract: The subject matter described herein relates to a method of treating cancer in a subject in need thereof using a bispecific molecule recognizing two antigen markers of different tissue lineages on the surface of The First Cell.

Abstract: Disclosed herein are methods of preparing composites from solid elastomer(s) and wet filler(s), as well as products, including composites, vulcanizates, and articles therefrom. The wet filler can have a liquid content of at least 15%. A resulting composite comprises the filler dispersed in the elastomer at a loading of at least 20 phr with a filler yield loss of no more than 10%, wherein the composite has a liquid content of no more than 10% by weight based on total weight of said composite.

Abstract: A method and system for identifying a feature in seismic datasets using a machine learning (ML) network is provided. The method includes training the ML network by obtaining a seismic dataset and forming a plurality of seismic patches having a labeled feature. Training the ML network continues by predicting a candidate labeled feature patch for each seismic patch, forming a metric measuring a mismatch of the candidate labeled feature patch and the labeled feature and updating the ML network based on finding an extremum of the mismatch to form a trained ML network. The method further includes forming a plurality of production seismic patches having unlabeled features and inputting the patches into a trained ML network to predict a labeled feature patch having a labeled manifestation of the feature. A predicted labeled feature image may then be formed by merging the plurality of predicted labeled feature patches.

Abstract: 3-prenyl 5-methyl ether, 7-O-rhamnoside flavone compound, a method of extracting the compound, a pharmaceutical composition comprising said compounds and a suitable carrier, and a method of using the compounds. The 3-prenyl 5-methyl ether, 7-O-rhamnoside flavone is identified as having an antiproliferative effect on cancer cells.

Abstract: A media drive security bin with a hydraulic lift table for storing and transporting media drives while ensuring secure tracking and retrieval of the media drives from the bin. The lift table features a foot pedal operation to raise the table and hand lever for lowering. A secure scanner is mounted along a chamber entrance to provide recordation of all information pertinent to the holding and transportation of the media data drives. A window provides ease of visual confirmation of the media bin contents.

Abstract: A silver nanoparticle composition for controlling or inhibiting the growth of P. jirovecii can include biosynthesized silver nanoparticles and an extract of Farsetia aegyptiaca (FA). The biosynthesized silver nanoparticles can be Farsetia aegyptiaca silver nanoparticles (Fa-AgNPs) prepared using an extract of Farsetia aegyptiaca (FA). In an embodiment, the Farsetia aegyptiaca silver nanoparticles (Fa-AgNPs) can have particle sizes ranging from about 10 nm to about 35 nm.

Abstract: An apparatus for destroying electronic data and providing selective storage for recycling having a first stage for shredding data storage devices into particles less than 20 mm×20 mm; a second stage that separates metal particles from non-metal particles; and a third stage for shredding non-metal into particle sizes of less than 2 mm×2 mm. A first bin is used to collect separated metal particles, a second bin is used to collect separated non-metal particles, and a vacuum system is used to collect airborne particles.

Abstract: This disclosure provides implantable devices with remote physiological monitoring capabilities. In particular, this disclosure relates to implantable devices with multi-spectral sensors that sense analyte from within a subject to provide clinically actionable data related to the subject's heath. For example, in preferred embodiments, the devices relate to ports with one or more multi-spectral sensors capable of remotely measuring symptoms of physiological distress via the multi-spectral sensors. In some embodiments, the ports are useful to deliver chemotherapy treatments and monitor patient health over the course of chemotherapy treatments. The multi-spectral sensors sense physical light properties modulated (e.g., reflected, absorbed, dispersed, scattered, etc.) by one or more analytes present in the body to allow for earlier detection of signs indicative of a health status.

Abstract: A method for managing or decreasing a risk of adverse effects in a patient undergoing treatment of bipolar I disorder is provided. The said method includes maintaining the therapeutically effective concentration of endoxifen by administrating a dose of 2 mg to 16 mg of endoxifen citrate in an enteric coated tablet once per day for at least 21 days. Further, adverse effects of alteration in thyroid functions, and thrombocytopenia can be avoided.

Abstract: There is provided an apparatus which can include a first module and a second module coupled to the first module. The first module can be configured to receive at least one input signal and/or generate at least one input signal. The input signal can be associated with at least one operating parameter and/or at least one target variable, associable with a structure (e.g., a pipeline). The second module can be configured to process the input signal by manner of data cleaning, data wrangling and/or data merging, to produce at least one output signal communicable for further processing (e.g., Machine-Learning based processing).

Abstract: An exit device according to one embodiment includes a plurality of sensors and an electronic dogging mechanism. The exit device is configured to locally analyze sensor data to determine the security state of the exit device, report data to a management system via a wireless communication channel established between the exit device and the management system, and receive and process instructions to perform an electronic dogging operation.

Abstract: There is provided a structure which can be suitable for use with a pipeline. The pipeline can include a plurality of pipe sections. The structure can be shaped and dimensioned to couple at least two pipe sections. The structure can include a housing which can be shaped and dimensioned to carry at least one device. The device(s) can be capable of receiving at least one detection signal associated with the pipeline. The detection signal(s) can be communicated within at least a portion of the pipeline. Moreover, the detection signal(s) can be received by an analyzer for analysis to determine at least one defect associable with the pipeline.

Abstract: A biometric token is generated for a user and provided to a user-operated device. A pre-staged transaction is defined by a user and the user supplies the token for association with the pre-staged transaction. Subsequently, a user visits a transaction terminal and a new candidate token is generated from biometric attributes of the user. The candidate token is matched to the token associated with pre-staged transaction to authenticate the user and the pre-staged transaction is processed at the transaction terminal as a completed transaction.

Abstract: An exit device according to one embodiment includes a plurality of sensors and an electronic dogging mechanism. The exit device is configured to locally analyze sensor data to determine the security state of the exit device, report data to a management system via a wireless communication channel established between the exit device and the management system, and receive and process instructions to perform an electronic dogging operation.