Abstract: Inventions provided are designed to improve states of agriculture sites and crops, in relation to agricultural inputs and management practices. Some inventions covered are able to generate agronomic indices and execute actions in response to agronomic indices at an agriculture site. An example method includes receiving samples associated with the agriculture site; generating a sample dataset upon processing the samples with a set of sample processing operations; generating a set of microbiome-associated features upon performing a set of transformation operations upon the sample dataset, wherein the set of microbiome-associated features comprises taxonomic annotations, functional annotations and ecological indices; generating values of a set of agronomic indices based upon the set of microbiome-associated features; and executing an action for producing a desired outcome at the agriculture site, based upon the set of agronomic indices.

Abstract: A device may determine that a first geographical area satisfies an area threshold. The first geographical area includes an estimated location of a source of interference associated with base stations. A first plurality of vertices, of the first geographical area, are based on locations of the base stations. The device may determine a second plurality of vertices. The second plurality of vertices are closer to the estimated location than the first plurality of vertices. The device may provide information regarding the second plurality of vertices and may obtain magnitude information indicating magnitudes of the interference measured at the second plurality of vertices. The device may determine a third plurality of vertices based on the magnitude information. The device may provide information regarding a second geographical area, formed by the third plurality of vertices, to cause a search of the second geographical area to identify the source of the interference.

Abstract: A device may receive time domain PRB data associated with a plurality of base stations of a network, and may transform the time domain PRB data into frequency domain PRB data. The device may identify, based on the frequency domain PRB data, periodic interference patterns associated with the network, and may process periodic data associated with the periodic interference patterns, with a clustering model, to identify clusters of periodic interference patterns. The device may utilize a time offset analysis to link clusters and identify a transient periodic interferer, and may process cluster data associated with the clusters and the transient periodic interferer, and public transportation data, with a machine learning model, to predict a route associated with the transient periodic interferer. The device may perform one or more actions based on the route associated with the transient periodic interferer.

Abstract: A mammographic imaging device for analysis and detection of possible inhomogeneities in breast tissue of a patient using laser light in the near-infrared in diffuse reflectance geometry, includes a patient horizontal support comprising at least one transparent window in its cross-section and a measuring mechanism below the at least one transparent window and carried by said support. The measuring mechanism includes a laser-light producing mechanism for producing laser light beams in the near-infrared, a directing mechanism for directing said laser light beams towards the at least one transparent window, at least one wavelength filter, a light-sensing and imaging mechanism for sensing light and producing images and a controlling, processing and image-normalizing unit for controlling, processing and normalizing images.

Abstract: A device may receive time domain PRB data associated with a plurality of base stations of a network, and may transform the time domain PRB data into frequency domain PRB data. The device may identify, based on the frequency domain PRB data, periodic interference patterns associated with the network, and may process periodic data associated with the periodic interference patterns, with a clustering model, to identify clusters of periodic interference patterns. The device may utilize a time offset analysis to link clusters and identify a transient periodic interferer, and may process cluster data associated with the clusters and the transient periodic interferer, and public transportation data, with a machine learning model, to predict a route associated with the transient periodic interferer. The device may perform one or more actions based on the route associated with the transient periodic interferer.

Abstract: An electrical voltage measurement device, comprising at least one microelectromechanical device comprising a semitransparent material element with a variable refractive index n according to an electrical voltage applied to the element, a first electrode connectable to an anode of an electrical voltage source and electrically connected to a first point of the semitransparent material element, a second electrode connectable to a cathode of the electrical voltage source and electrically connected to a second point of the semitransparent material element, wherein the semitransparent material element is configured to receive an electrical voltage from the electrical voltage source through the first electrode and/or the second electrode, causing a variation ?n(V) in the refractive index n proportionally to the electrical voltage; and an optical device.

Abstract: An electrical voltage values measuring device having at least one microelectromechanical device comprising a first electrode connectable to an anode of an electrical voltage source and a second electrode connectable to a cathode of the electrical voltage source, wherein the microelectromechanical device is configured to receive an electrical voltage from the electrical voltage source causing a deviation of the first electrode, associated with the electrical voltage, wherein the deviation causes a distance variation between the first electrode and the second electrode, and an optical processor that comprises a laser and an optical sensor.

Abstract: The present invention relates to 2-aminothiazol or 2-aminooxazol derivatives or pharmaceutically acceptable salt thereof for use in the treatment of hyperproliferative disorders, to method of treatment and/or prevention of hyperproliferative disorders using said compounds and to a subgroup of said derivatives which are new.

Abstract: A carrier aggregation platform may obtain device data regarding first UEs associated with a geographical area and determine a data distribution of make and model combinations of the first UEs. The platform may analyze the data distribution to identify one or more make, model and/or software combinations that satisfy a threshold and determine carrier aggregation capabilities of UEs of the one or more make and model combinations. The platform may determine, based on the carrier aggregation capabilities, one or more combinations of frequency bands and a number of downlinks for the frequency bands. The platform may obtain network data indicating a carrier aggregation capability of a base station associated with the geographical area. The platform may determine carrier aggregation information based on the carrier aggregation capability, the one or more combinations of frequency bands, and the number of downlinks.

Abstract: A device may calculate a PRB seasonal strength based on PRB data from base stations, and may scale and normalize the PRB data based on the PRB seasonal strength. The device may calculate and combine FFTs for the normalized and scaled PRB data, may calculate a z-score for the combined FFT, and may calculate FFT IQRs for frequencies of the combined FFT. The device may filter the FFT IQRs based on the z-score, may process the FFT IQRs, with a clustering model, to identify clusters of periodic interference patterns, and may aggregate the clusters. The device may identify peak data in the PRB data, and may process the peak data, with a model, to determine a parameter for clustering. The device may process the PRB data, with the clustering model, to identify final clusters of periodic interference patterns, and may perform actions based on the final clusters.

Abstract: A device may determine that a first geographical area satisfies an area threshold. The first geographical area includes an estimated location of a source of interference associated with base stations. A first plurality of vertices, of the first geographical area, are based on locations of the base stations. The device may determine a second plurality of vertices. The second plurality of vertices are closer to the estimated location than the first plurality of vertices. The device may provide information regarding the second plurality of vertices and may obtain magnitude information indicating magnitudes of the interference measured at the second plurality of vertices. The device may determine a third plurality of vertices based on the magnitude information. The device may provide information regarding a second geographical area, formed by the third plurality of vertices, to cause a search of the second geographical area to identify the source of the interference.

Abstract: A method for installing guide rails of an elevator in a hoistway includes installing one or more guide rails to form a vertical guide rail line; positioning an elevator car at a first position in the hoistway; placing a plurality of guide rails to stand in an upright position on the elevator car such that each of the guide rails rests on the floor structure of the elevator car; supporting the upper half of each of the guide rails laterally on the elevator car for blocking its lateral movement relative to the elevator car; hoisting the elevator car in the hoistway upwards to a second position, along the guide rail line; and installing a guide rail belonging to said plurality into the elevator hoistway on top of the guide rail line for extending the guide rail line vertically, thereby making the guide rail being installed to form the uppermost section of the guide rail line. An installation arrangement of guide rails is provided for implementing the method.

Abstract: Systems described herein may allow for the intelligent configuration of containers onto virtualized resources. Different configurations may be generated based on the simulation of alternate placements of containers onto nodes, where the placement of a particular container onto a particular node may serve as a root for several branches which may themselves simulate the placement of additional containers on the node (in addition to the container(s) indicated in the root). Once a set of configurations are generated, a particular configuration may be selected according to determined selection parameters and/or intelligent selection techniques.

Abstract: An interference detection system in a network identifies a first wireless station that has experienced radio frequency (RF) interference from an unknown source on at least one physical resource block (PRB) by determining that a key performance indicator (KPI) for the at least one PRB on the first wireless station has a value indicative of interference. The interference detection system identifies one or more second wireless stations that have experienced similar interference on the at least one PRB. A plurality of estimated interference source locations are determined based at least on geographic locations of the first wireless station and the one or more second wireless stations. Determining the plurality of estimated interference source locations further comprises generating a boundary based on the geographic locations of the first wireless station and the one or more second wireless stations and selecting a plurality of estimated interference source locations within the boundary.

Abstract: A device may receive time domain PRB data associated with a plurality of base stations of a network, and may transform the time domain PRB data into frequency domain PRB data. The device may identify, based on the frequency domain PRB data, periodic interference patterns associated with the network, and may process periodic data associated with the periodic interference patterns, with a clustering model, to identify clusters of periodic interference patterns. The device may utilize a time offset analysis to link clusters and identify a transient periodic interferer, and may process cluster data associated with the clusters and the transient periodic interferer, and public transportation data, with a machine learning model, to predict a route associated with the transient periodic interferer. The device may perform one or more actions based on the route associated with the transient periodic interferer.

Abstract: Systems described herein may allow for the intelligent configuration of containers onto virtualized resources. Different configurations may be generated based on the simulation of alternate placements of containers onto nodes, where the placement of a particular container onto a particular node may serve as a root for several branches which may themselves simulate the placement of additional containers on the node (in addition to the container(s) indicated in the root). Once a set of configurations are generated, a particular configuration may be selected according to determined selection parameters and/or intelligent selection techniques.

Abstract: An interference detection system in a network identifies a first wireless station that has experienced radio frequency (RF) interference from an unknown source on at least one physical resource block (PRB) by determining that a key performance indicator (KPI) for the at least one PRB on the first wireless station has a value indicative of interference. The interference detection system identifies one or more second wireless stations that have experienced similar interference on the at least one PRB. A plurality of estimated interference source locations are determined based at least on geographic locations of the first wireless station and the one or more second wireless stations. Determining the plurality of estimated interference source locations further comprises generating a boundary based on the geographic locations of the first wireless station and the one or more second wireless stations and selecting a plurality of estimated interference source locations within the boundary.

Abstract: Disclosed herein are systems and methods for determining metabolic pathway dynamics using time series multiomics data. In one example, after receiving time series multiomics data comprising time-series metabolomics data associated a metabolic pathway and time-series proteomics data associated with the metabolic pathway, derivatives of the time series multiomics data can be determined. A machine learning model, representing a metabolic pathway dynamics model, can be trained using the time series multiomics data and the derivatives of the time series multiomics data, wherein the metabolic pathway dynamics model relates the time-series metabolomics data and time-series proteomics data to the derivatives of the time series multiomics data. The method can include simulating a virtual strain of the organism using the metabolic pathway dynamics model.

Abstract: Disclosed herein include systems, devices, and methods for kinetic learning, which can include, for example, training and/or using a machine learning model, such as training a machine learning model and using the machine learning model to simulate a virtual strain of an organism or to determine possible modifications of an organism.

Abstract: Systems described herein may allow for the intelligent configuration of containers onto virtualized resources. As described, systems described herein may generate configurations based on received parameters for utilization to configure (e.g., install, instantiate, etc.) virtualized resources. Once generated, a configuration may be selected according to determined selection parameters and/or intelligent selection techniques.