Abstract: Systems and methods for identifying and evicting idle sessions include training a machine learning model as a session classifying model to learn rules for classifying active sessions between clients and the cloud-based service. The session classifying model is trained to receive a plurality of parameters pertaining to the document associated with an active session as input and to apply the rules to the plurality of parameters to determine a classification for the active session and to provide an output indicative of the classification for the active session. The session classifying model is then utilized in the cloud-based service to classify the active sessions. The active sessions classified as idle sessions may then be evicted from the cloud-based service.

Abstract: A compressible sleeve includes a first shoulder configured to press against an insert. The compressible sleeve also includes a second shoulder positioned along an opposite end of the first shoulder, and configured to receive a pin of a rotary connection of the magnetic assembly. The compressible sleeve further includes a plurality of slots extending along a curved surface.

Abstract: Techniques for identifying network congestion and adapting network performance to relieve the network congestion are described. As described, a network element such as a switch reports network congestion indicators such as link level control frames to a network controller. The network controller uses the network congestion indicators reported from the network elements to identify congestion points, data traffic, and data flows experiencing congestion at a network level. The network controller then determines optimized control parameters for the network in order to reduce or alleviate the congestion at the congestion points.

Abstract: Users of a database management engine may generate fillable digital documents by mapping interface elements onto form documents. When a user maps interface elements onto a form document, the user may accidentally overlap two or more interface elements. To rectify this, the database management engine may modify the position of one of interface elements based on a set of positioning rules. In addition, the database management engine may identify and suggest mappings to users based on similar documents that have been previously mapped. The database management engine identifies similar documents using information about the document, the user, and the mapping itself. The mapping associated with the most similar document may be provided to the user as a suggested mapping. The database management engine converts the form document and finalized mapping into a fillable digital document. The fillable digital document is sent to recipients, who complete the fillable digital document.

Abstract: The present invention relates to an auditory device that combines bone-conducting earbuds with integrated electroencephalography (EEG) sensors. The device utilizes bone conduction technology to transmit sound through the skull to the inner ear, allowing for clear audio perception without obstructing the ear canal. Incorporated EEG sensors are configured with spring-loaded contacts that maintain consistent skin contact to monitor brain wave activity effectively. This dual-functionality enables users to listen to audio and simultaneously track cognitive states, making the device particularly useful for applications in cognitive load monitoring and adaptive audio feedback based on the user's mental state. This innovation extends the functionality of conventional earbuds with bone-conduction mechanisms by integrating EEG technology to enhance biosensing, health monitoring, and tailored cognitive-processing feedback.

Abstract: Methodology of Surface-Enhanced Raman Spectroscopy with the use of a rough Al substrate to image the biochemical composition of only the plasma membrane (and substantially without the contribution, to the SERS, of the contents of the inside of an imaged cell, thereby differentiating one from another) of intact cancerous cells and intact normal non-cancerous cells. The judiciously generated roughness of the Al substrate resulted in formation of many hot spots that provided a uniform membrane signal. The peak ratios of the resulting Raman signals specific to the cell-membrane only exhibited heterogeneous properties of the membrane with different lipid and protein concentrations at different spatial locations and are identified and can be used as novel cancer biomarkers. The proposed methodology may be extended to studying the nanoscale composition of lipid rafts and protein aggregates in intact biological cells.

Abstract: Users of a database management engine may generate fillable digital documents by mapping interface elements onto form documents. When a user maps interface elements onto a form document, the user may accidentally overlap two or more interface elements. To rectify this, the database management engine may modify the position of one of interface elements based on a set of positioning rules. In addition, the database management engine may identify and suggest mappings to users based on similar documents that have been previously mapped. The database management engine identifies similar documents using information about the document, the user, and the mapping itself. The mapping associated with the most similar document may be provided to the user as a suggested mapping. The database management engine converts the form document and finalized mapping into a fillable digital document. The fillable digital document is sent to recipients, who complete the fillable digital document.

Abstract: The present invention displays an in-the-ear Electroencephalography (EEG) electrode system designed to monitor brain activity in clinical environments, using eartips composed of n-doped silicon or alternative conductive rubber-based materials positioned in the ear canal to accurately detect neurological signals. This electrode system offers wireless and wired configurations, ensuring adaptability to various platforms. This invention addresses the limitations of traditional EEG methodologies by providing a solution for continuous and reliable brain activity monitoring, particularly during intricate surgical procedures. The electrode system displays patient vitals and EEG data in real time, providing medical professionals in diverse clinical settings with comprehensive insights into brain states across a spectrum of frequencies. This system captures Event-Related Potentials (ERPs) and activities in the temporal lobes.

Abstract: This invention proposes a method of crowd abnormal behavior detection from video using artificial intelligence, includes three steps: step 1: Data-preprocessing; step 2: Feature extraction and abnormal prediction using a three-dimensional convolution neural network (3D CNN), step 3: Post-processing and synthesizing information to issue warning.

Abstract: A method for multi-object tracking from video. The method includes the following steps: (1) Capturing frames from the streaming source and preprocess the data; (2) Extract video features with three choices: a 3D-CNN backbone followed by a Transformer Encoder, a Video Transformer Encoder, a 2D-CNN Encoder with a stack of frames as input followed by a Transformer Encoder; (3) Multi-object tracking using a new end-to-end multi-task deep learning model named JDAT (Joint Detection Association Transformer), then post-processing and updating tracking state with Temporal Aggregation Module (TAM). The deep learning models in step 2 and step 3 are trained simultaneously end-to-end with a loss function that is accumulated over multiple timesteps (Collective Average Loss—CAL). Also, the model can be pretrained with weakly labeled image dataset in a self-supervised learning manner first, then finetuned on supervised video datasets with full tracking labels.

Abstract: Systems and methods for identifying and evicting idle sessions include training a machine learning model as a session classifying model to learn rules for classifying active sessions between clients and the cloud-based service. The session classifying model is trained to receive a plurality of parameters pertaining to the document associated with an active session as input and to apply the rules to the plurality of parameters to determine a classification for the active session and to provide an output indicative of the classification for the active session. The session classifying model is then utilized in the cloud-based service to classify the active sessions. The active sessions classified as idle sessions may then be evicted from the cloud-based service.

Abstract: A system for glass substrate inspection, such as flat patterned media, includes an air table that holds the glass substrate. The air table includes chucks that emit gas as air bearings. A camera is disposed over the air table and moves in a direction across a width of a top surface of the glass substrate. An assembly includes a gripper and a probe bar configured to be transported under the camera. The gripper is configured to grip a bottom surface of the glass substrate opposite the top surface. The probe bar delivers driving signals to the glass substrate through a plurality of probe pins.

Abstract: A downhole tool includes a window cap located in a cover that is positioned between an electromagnetic radiation detector in the downhole tool and a geological formation into which a borehole is formed and where the downhole tool is to be positioned. The electromagnetic radiation detector is to detect an electromagnetic radiation from the geological formation. The downhole tool includes a window core positioned behind the window cap relative to an external environment of the downhole tool, wherein the window core is positioned between the window cap and the electromagnetic radiation detector.

Abstract: Users of a database management engine may generate fillable digital documents by mapping interface elements onto form documents. When a user maps interface elements onto a form document, the user may accidentally overlap two or more interface elements. To rectify this, the database management engine may modify the position of one of interface elements based on a set of positioning rules. In addition, the database management engine may identify and suggest mappings to users based on similar documents that have been previously mapped. The database management engine identifies similar documents using information about the document, the user, and the mapping itself. The mapping associated with the most similar document may be provided to the user as a suggested mapping. The database management engine converts the form document and finalized mapping into a fillable digital document. The fillable digital document is sent to recipients, who complete the fillable digital document.

Abstract: Users of a database management engine may generate fillable digital documents by mapping interface elements onto form documents. When a user maps interface elements onto a form document, the user may accidentally overlap two or more interface elements. To rectify this, the database management engine may modify the position of one of interface elements based on a set of positioning rules. In addition, the database management engine may identify and suggest mappings to users based on similar documents that have been previously mapped. The database management engine identifies similar documents using information about the document, the user, and the mapping itself. The mapping associated with the most similar document may be provided to the user as a suggested mapping. The database management engine converts the form document and finalized mapping into a fillable digital document. The fillable digital document is sent to recipients, who complete the fillable digital document.

Abstract: Techniques for identifying network congestion and adapting network performance to relieve the network congestion are described. As described, a network element such as a switch reports network congestion indicators such as link level control frames to a network controller. The network controller uses the network congestion indicators reported from the network elements to identify congestion points, data traffic, and data flows experiencing congestion at a network level. The network controller then determines optimized control parameters for the network in order to reduce or alleviate the congestion at the congestion points.

Abstract: This invention presents a wireless earbud case tailored for biometrics and wearable technology. Unlike basic charging cases like those of consumer earbuds in the market currently, this earbud case enriches mobile device interaction. The case processes biometric electroencephalography (EEG) data to aid in monitoring mood, sleep, and neurological health. It wirelessly links via Bluetooth or WiFi to transmit data to a mobile software. It charges earbuds and can indicate battery levels of the earbuds or the case itself. It receives, processes, and transmits EEG data from external sources like earbud-connected electrodes. Then, the processed data displays on devices like phones and computers. Compatible with EEG or magnetoencephalography earbuds, it offers electronic storage for the purpose of data security. This invention optimizes data flow to external devices, such as EEG earbuds for biometric and wearable tech applications.

Abstract: A process of dissociating ammonia into a dissociated hydrogen/nitrogen stream in catalyst tubes within a radiant tube furnace and an adiabatic or isothermal unit containing catalyst, along with downstream purification process units to purify the dissociated hydrogen/nitrogen stream into high purity hydrogen product.

Abstract: Techniques for identifying network congestion and adapting network performance to relieve the network congestion are described. As described, a network element such as a switch reports network congestion indicators such as link level control frames to a network controller. The network controller uses the network congestion indicators reported from the network elements to identify congestion points, data traffic, and data flows experiencing congestion at a network level. The network controller then determines optimized control parameters for the network in order to reduce or alleviate the congestion at the congestion points.

Abstract: The present disclosure involves the integration of conductive filaments or n-doped silicon with a rubber ear-tip. This combination allows for the detection of brain oscillation waves in EEG-enabled earbud systems. Previous implementations of ear tip electrodes involve multiple tiny electrodes embedded into the ear tip. However, unlike conventional designs, the presented solution utilizes the entire ear tip for conductivity, making a significant advancement in EEG technology in regards to data capturing. Other embodiments of the invention include partitioning the ear tip itself to make an electrode array for multiple reference points during detection of brain waves. These conductive ear tips enable accurate neural biometric detection. Incorporating magnets, the ear tips seamlessly attach to earbuds, enhancing convenience.