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: A waste peptone disposal system is provided, the system utilizing steam to increase the temperature of the waste peptone and provide active homogenous mixing inside a thermally insulated tank. Steam is introduced through a steam sparging system and directly applied to the waste peptone to reduce noxiousness, allowing the facility to dispose of the processed waste peptone through a wastewater system.

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) and 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. The plurality of estimated interference source locations are scored based on a comparison of estimate interference to observed interference at the one or more second wireless stations and a geographical map is generated based on the scored plurality of estimated interference source locations, wherein the geographical map includes indicia indicative of the relative scores of the plurality of estimated interference source locations.

Abstract: Disclosed herein is Arrowland, a web-based software tool for inputting, managing and viewing multiomics data, such as transcriptomics, proteomics, metabolomics and fluxomics data in an interactive, intuitive and multiscale system.

Abstract: A method of assembling an elevator car within an elevator hoistway, including installing a car frame onto the elevator hoistway, attaching a car base to the car frame, the car base forming a floor of the elevator car, setting spacers on a top surface of the car base, placing a car roof onto the spacers, the car roof including a first bracket and a second bracket, each bracket including a safety latch assembly, lifting the car roof until to a top position where each safety latch assembly engages a respective top surface of the car frame to fix the car roof to the car frame, the installing wall panels to the car base and to the car roof. As the car roof is lifted, the safety latches travel along a car frame structural vertical member and are maintained in a tensioned state by springs.

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: 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) and 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.

Abstract: The disclosed technology is generally directed to device certification in an IoT environment. For example, such technology is usable in managing relationships between IoT devices and an IoT Hub. In one example of the technology, an IoT Hub receives a registration request. Next, the IoT Hub sends a registration verification to the IoT device. Next, the IoT Hub receives a ping from the IoT device. Next, the IoT Hub sends a response to the ping to the IoT device. Next, the IoT Hub receives verification of a validation of a log file output by a device based on running a plurality of unit tests on a device with a software development kit. Next, the IoT Hub automatically sends code to the IoT device.

Abstract: A method of assembling an elevator car within an elevator hoistway, including installing a car frame onto the elevator hoistway, attaching a car base to the car frame, the car base forming a floor of the elevator car, setting spacers on a top surface of the car base, placing a car roof onto the spacers, the car roof including a first bracket and a second bracket, each bracket including a safety latch assembly, lifting the car roof until to a top position where each safety latch assembly engages a respective top surface of the car frame to fix the car roof to the car frame, the installing wall panels to the car base and to the car roof. As the car roof is lifted, the safety latches travel along a car frame structural vertical member and are maintained in a tensioned state by springs.

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: 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.

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: Disclosed herein include systems, devices, and methods for training and using a probabilistic predictive ensemble model for recommending experiment designs for a biology (e.g., synthetic biology) experiment. Also disclosed herein include methods for performing a biology (e.g., synthetic biology) experiment using a probabilistic predictive ensemble model for recommending experiment designs for biology.

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.

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: Embodiments of the present invention provide wireless control devices that operate in-field wirelessly without removable batteries, have power self-harvesting components, and can be wirelessly programmed over long ranges without interfering with the normal operation of the control devices. Only control devices that have sufficient power available to perform a reprogram cycle (and can function normally until a next power harvest cycle) are selected. Control devices can be selected for wireless reprogramming based on the upcoming functions to be performed by the control device, the amount of energy stored in the control device, the rate of power generation of a solar panel of the control device, and current and upcoming weather conditions, etc. The wireless programming can include updating a firmware of the control device, a bootloader of the control device, and an application program image.

Abstract: Systems and methods facilitate efficient and effective monitoring and control of various activities using a remote self-contained in-field installed device capable of self-harvesting power. A power self harvesting control device comprises: a power sub-system configured to self-harvest energy required of its internal components; a communication sub-system configured to communicate with other external devices; an exterior function interface sub-system configured to generate and receive input/output signals associated with the external component interactions; and a management sub-system configured to manage and coordinate activities of the power control sub-system, the communication sub-system, and external function control sub-system. The management sub-system directs management and coordination of the self-harvested energy supply and consumption. The power sub-subsystem includes a non-removable self contained energy storage component that stores self-harvested energy.

Abstract: A method of unsupervised protein sequence generation includes determining a dataset of known protein sequences, wherein the dataset comprises unlabeled or sparsely labeled data. The method further includes training, by a processing device, a generative model on the dataset. The method further includes generating, using the generative model, a semantically-valid protein sequence example based on the dataset.

Abstract: The disclosed technology is generally directed to device certification in an IoT environment. For example, such technology is usable in managing relationships between IoT devices and an IoT Hub. In one example of the technology, an IoT Hub receives a registration request. Next, the IoT Hub sends a registration verification to the IoT device. Next, the IoT Hub receives a ping from the IoT device. Next, the IoT Hub sends a response to the ping to the IoT device. Next, the IoT Hub receives verification of a validation of a log file output by a device based on running a plurality of unit tests on a device with a software development kit. Next, the IoT Hub automatically sends code to the IoT device.

Abstract: The disclosed technology is generally directed to device certification in an IoT environment. For example, such technology is usable in managing relationships between IoT devices and an IoT Hub. In one example of the technology, an IoT Hub receives a registration request. Next, the IoT Hub sends a registration verification to the IoT device. Next, the IoT Hub receives a ping from the IoT device. Next, the IoT Hub sends a response to the ping to the IoT device. Next, the IoT Hub receives verification of a validation of a log file output by a device based on running a plurality of unit tests on a device with a software development kit. Next, the IoT Hub automatically sends code to the IoT device.