Abstract: Providing the right mechanism to apply blockchain technology with flexible or dynamic credit disbursement while also addressing valuation of the agricultural assets that are dynamic in nature is required. A method and a system for estimating flexible credit eligibility and disbursement schedule using NFTs of agricultural assets is disclosed. A detailed blockchain based approach is provided for evaluating credit collateral of the NFTs representing the agricultural assets, also interchangeably referred to as physical farm assets or agri-assets. Valuation of the credit eligibility is based on flexibility provided to the farmer on deciding the farm assets to be used, current status of the farmer selected agricultural assets and credit equivalent value of the each of NFTed asset selected by the farmer for the season/year. The dynamic disbursement schedule is based on the personalized or customized parameters associated with the current status of farm and farm assets linked to the credit collateral.

Abstract: Systems and methods for facilitating validation of datasets are disclosed. A system may include a processor. The system may include a data validator implemented via the processor to receive an input dataset including a component metadata. The data validator may perform, using an validation model and through a rules engine, validation of information in the component metadata to obtain a validation dataset. The validation may enable to predict at least one invalid feature in the component dataset. The system may include an insight generator implemented via the processor to generate, based on the validation datasets, automated insights pertaining to mitigation of the at least one invalid feature. In an embodiment, the automated insights may be stored in a distributed ledger to facilitate an authenticated storage of the automated insights. The authenticated storage may be facilitated by a network comprising a plurality of nodes.

Abstract: The present invention relates to a pharmaceutical composition for oral administration comprising: a) about 5% w/w to about 40% w/w of lumateperone or pharmaceutically acceptable salt thereof; b) about 50% w/w to about 95% w/w of at least one diluent; c) about 1% w/w to about 10% w/w of at least one disintegrant; d) about 0.1% w/w to about 2% w/w of at least one glidant; and e) about 0.5% w/w to about 5% w/w of a lubricant selected from the group consisting of sodium stearyl fumarate, stearic acid, and combinations thereof, wherein the amount of nitrosamine impurity after exposure of the pharmaceutical composition to 40° C./75% RH for a period of six months is less than the FDA acceptable intake limit of the nitrosamine impurity based on maximum daily dose of lumateperone.

Abstract: Examples are provided that relate to satellites utilizing both a narrowband communication channel and a broadband communication channel. One example provides a satellite comprising narrowband communication hardware configured to communicate on a control plane over a narrowband communication channel using an omnidirectional antenna. The satellite further comprises broadband communication hardware configured to communicate on a data plane over a broadband communication channel using a beamforming antenna.

Abstract: Conventional approaches lack in traceability of various factors that led to changes in farms states. Further, conventional approaches for managing farms, and associated data obtained from various sources do not fully allow for employing farm's practices to other similar conditions as they may have adverse effects over other identical/similar crops during cultivations. Present disclosure present systems and methods that codify/pre-process and store farm parameters, associated versions and farm interactions in a systematic manner, along with associated knowledge, inferences, that bring changes to a farm's state, which can be referred as farm versions. The inferences, and relationships between farm configurations, versions and the like are used by the system to generate farm portability score for target farm and identify farm state portability. Once the current farm state is identified, the system further creates an optimized routing mechanism for the target farm to attend an optimal state.

Abstract: An apparatus for an access node, includes a memory interface to send or receive, to or from a data storage device, measurement information for measurement signaling between a first next generation radio access network (NG-RAN) node and a second NG-RAN node. The apparatus also includes processor circuitry communicatively coupled to the memory interface, the processor circuitry to initiate execution of a machine learning (ML) model by the first NG-RAN node to select an energy saving state for the first NG-RAN node, the second NG-RAN node or a user equipment (UE), and generate one or more messages with an information element (IE) with one or more parameters to request measurement information according to the one or more parameters, the measurement information to comprise feedback information to train the ML model. Other embodiments are described and claimed.

Abstract: A powder mixture (16) for heat dissipation and a process for forming the powder mixture (16) are disclosed. The powder mixture (16) includes C15H24, a carbonate, an oxide, an oxalate, and two or more materials selected from the group consisting of a chloride and one or more transition metal source. A component having the powder mixture (16) and a process for forming the component are also disclosed. The process for forming the component includes arranging a plurality of cells (12) of the component in an arrangement and filling a powder mixture (16) in interstitial gaps between the cells. The disclosed powder mixture (16) is tested to be very efficient, providing passive cooling, and allowing compact construction of the components. Simple processing of the powder mixture (16) enables an easy implementation of the battery modules in various systems.

Abstract: A computing system including a processor configured to receive packet preamble binary data and packet header binary data associated with a satellite. The processor may generate a simulated signal that encodes the packet preamble binary data and the packet header binary data. The processor may receive a satellite downlink signal. Within each of a plurality of sample intervals of the satellite downlink signal, the processor may compute a respective correlation between the satellite downlink signal and at least a portion of the simulated signal. The processor may select an identified sample interval of the plurality of sample intervals based at least in part on the plurality of correlations. The processor may decode binary satellite signal data based at least in part on the identified sample of the satellite downlink signal. The processor may output the binary satellite signal data.

Abstract: Systems, methods, apparatuses, and computer program products for dynamic target cell selection for application of RAN optimization are provided. One method includes receiving a request, from one or more radio access network optimization services, that comprises a list of attributes corresponding to characteristics of a cell and a cell selection criterion for each of the attributes, receiving, from one or more radio access network cells, a data stream comprising metrics for at least one of the cell or users in the cell.

Abstract: A ground station computing system for communicating with a satellite is provided, including a processor and associated memory storing instructions that cause the processor to execute a software-defined radio (SDR) program. The SDR program is configured to receive signals from a plurality of satellites and determine a doppler shift signature pattern of one of the satellites. The SDR program is further configured to detect, within the received signals from the plurality of satellites, packet preambles from the one of the plurality of satellites, based on correlations between portions of the received signals and the doppler shift signature pattern.

Abstract: A backhoe loader comprises a front chassis, a rear chassis, a rotatable operator workstation, and a chassis lock mechanism. The front chassis comprises the loading assembly and the rear chassis is connected to the front chassis along a vertical axis joint by a pin lock assembly. The rotatable operator workstation is positioned in the rear chassis, which is positioned inside a bearing mounted cabin which is slewable in clockwise and counter-clockwise directions. The operator workstation enables maneuvering of the front chassis with respect to the rear chassis using the pin lock assembly. The chassis lock mechanism is achieved using two single acting hydraulic cylinders that are mounted horizontally on rear chassis. These hydraulic cylinders are actuated during the excavation operation which in turns locks the oscillation of vehicle and front and rear chassis acts rigidly like a single body. This rigidity of the vehicle provides the required stability during excavation.

Abstract: Methods and apparatuses for improving wireless network performance and efficiency by dynamically configuring network selection and session management functions within a wireless networking environment are described. In some cases, a network and service management system within the wireless networking environment may perform adjustments to the configuration of network slices and protocol data unit (PDU) sessions associated with user equipment (UE) devices utilizing network services provided by the wireless networking environment. The network and service management system may utilize machine learning techniques to provide real-time selection and reconfiguration of network slices and PDU sessions running within the wireless networking environment.

Abstract: A computing system including a processor configured to receive packet preamble binary data and packet header binary data associated with a satellite. The processor may generate a simulated signal that encodes the packet preamble binary data and the packet header binary data. The processor may receive a satellite downlink signal. Within each of a plurality of sample intervals of the satellite downlink signal, the processor may compute a respective correlation between the satellite downlink signal and at least a portion of the simulated signal. The processor may select an identified sample interval of the plurality of sample intervals based at least in part on the plurality of correlations. The processor may decode binary satellite signal data based at least in part on the identified sample of the satellite downlink signal. The processor may output the binary satellite signal data.

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: A computing system including a processor configured to receive packet preamble binary data and packet header binary data associated with a satellite. The processor may generate a simulated signal that encodes the packet preamble binary data and the packet header binary data. The processor may receive a satellite downlink signal. Within each of a plurality of sample intervals of the satellite downlink signal, the processor may compute a respective correlation between the satellite downlink signal and at least a portion of the simulated signal. The processor may select an identified sample interval of the plurality of sample intervals based at least in part on the plurality of correlations. The processor may decode binary satellite signal data based at least in part on the identified sample of the satellite downlink signal. The processor may output the binary satellite signal data.

Abstract: An apparatus includes circuitry configured to: receive a request from a radio access network algorithm to determine whether there is a distribution shift related to a temporal characteristic of a cell of a communication network; request data from a radio access network node or a controller platform related to the temporal characteristic; receive the requested data related to the cell from the radio access network node or the controller platform; determine whether there is a distribution shift related to the temporal characteristic; in response to determining that there is a distribution shift, select a learning type for an update to a model; and update the model such that, when the model is provided to an inference server, causes the radio access network algorithm to use the updated model to perform at least one action to optimize the performance of the radio access network node or other radio access network node.

Abstract: A backhoe loader comprises a front chassis, a rear chassis, a rotatable operator workstation, and a chassis lock mechanism. The front chassis comprises the loading assembly and the rear chassis is connected to the front chassis along a vertical axis joint by a pin lock assembly. The rotatable operator workstation is positioned in the rear chassis, which is positioned inside a bearing mounted cabin which is slewable in clockwise and counter-clockwise directions. The operator workstation enables maneuvering of the front chassis with respect to the rear chassis using the pin lock assembly. The chassis lock mechanism is achieved using two single acting hydraulic cylinders that are mounted horizontally on rear chassis. These hydraulic cylinders are actuated during the excavation operation which in turns locks the oscillation of vehicle and front and rear chassis acts rigidly like a single body. This rigidity of the vehicle provides the required stability during excavation.

Abstract: There are provided measures for efficient cell baseband processing pooling. Such measures exemplarily comprise acquiring a predicted future computational load of baseband processing for each selected radio cell of a plurality of radio cells, and determining an allocation of each selected radio cell of said plurality of radio cells to anyone of a plurality of processing resource units based on said predicted future computational load of baseband processing for each selected radio cell of said plurality of radio cells and computation capabilities of each of said plurality of processing resource units.

Abstract: A device may include a memory and a processor configured to determine, based on first cell data representative of conditions of a cell of a mobile communication network at a first stage associated with a first instance of time, a set of configurations for an antenna array comprising a plurality of antenna elements, wherein each configuration of the set of configurations comprises a configuration in which a subset of the plurality of antenna elements are to be used to perform communications within the cell, and select one or more antenna configurations for the antenna array from the determined set of configurations, wherein each antenna configuration of the one or more antenna configurations are selected based on further cell data representative of the conditions of the cell at a further stage associated with a further instance of time after the first instance of time.

Abstract: A device may include a memory and a processor configured to obtain cell data representative of one or more attributes associated with a state of a cell of a mobile communication network, wherein radio resources of the cell are managed based on a radio resource management model, determine, for the radio resource management model, an update timescale based on the cell data, and communicate timescale information representative of the determined update timescale to the radio resource management model, wherein the timescale information is configured to cause the radio resource management model to update model parameters to manage the radio resources of the cell based on the determined update timescale.