Kits and methods for detecting pathogens without the need for laboratory equipment are disclosed. The kits and methods described herein allow for near-room temperature amplification of pathogen polynucleotides in a biological sample in a one-compartment reaction vessel. The kits and methods may be used to detect any target nucleic acid, such as DNA or RNA from a bacterial, fungal, or viral pathogen.

Described herein are systems and method for monitoring weather conditions and controlling field operations based on the weather conditions. In one embodiment, a system for monitoring weather conditions for field operations includes a plurality of weather devices for monitoring weather conditions of fields with at least at one weather device in proximity to each field being monitored and at least one weather device having an electronics module for determining weather data including precipitation data. The system also includes an agricultural computer system having at least one processing unit for executing instructions for monitoring weather conditions. The at least one processing unit is configured to execute instructions to receive weather data from the plurality of weather devices for monitoring weather conditions of fields, to process the weather data, and to generate data including precipitation rate for monitoring weather conditions and operations of the plurality of weather devices.

In an approach, a processor identifies that a vehicle has been exposed to a first user, the first user associated with an infectious disease. A processor monitors, via a wireless ad hoc network, presence of a mobile device at a location of the vehicle. A processor identifies the presence of the mobile device at the location of the vehicle. A processor sends a notification to the mobile device, the notification specifying that the vehicle has been exposed to the infectious disease.

The present disclosure provides a novel integrated entropy-based method that combines genome-wide profiling and network analyses for diagnostic and prognostic applications. The present disclosure further provides the integration of multiomics datasets, network analyses and machine learning that enable predictions on diagnosing infectious diseases and predicting the probability that they will escape treatment/the host immune system and/or become antibiotic resistant. The present disclosure provides a primary gateway towards the development of highly accurate infectious disease prognostics.

An apparatus includes a processor configured to be disposed with a vehicle and a memory coupled to the processor. The memory stores instructions to cause the processor to receive, at least two of: radar data, camera data, lidar data, or sonar data. The sensor data is associated with a predefined region of a vicinity of the vehicle while the vehicle is traveling during a first time period. At least a portion of the vehicle is positioned within the predefined region during the first time period. The method also includes detecting that no other vehicle is present within the predefined region. An environment of the vehicle during the first time period is classified as one state from a set of states that includes at least one of dry, light rain, heavy rain, light snow, or heavy snow, based on at least two of the sensor data to produce an environment classification. An operational parameter of the vehicle based on the environment classification is modified.

A method for monitoring disease across agricultural areas of interest is provided comprising displaying at least one virtual zone corresponding to an agricultural geographic area of interest on a map in an application on a first device, and receiving an alert message when the first device is in proximity to a virtual zone. The at least one virtual zone is defined by at least one geofence. Each virtual zone is associated with a level of risk that indicates a likelihood of an outbreak of a disease detrimental to agriculture. Each virtual zone is configured to receive access notification information from each geofence when tracked devices enter an area defined by that geofence. The access information includes the level of risk associated with other virtual zones from which the tracked devices came. The alert message indicates if the first device should enter that virtual zone.

The present disclosure describes methods and systems for measuring crosswind speed by optical measurement of laser scintillation. One method includes projecting radiation into a medium, receiving, over time, with a photodetector receiver, a plurality of scintillation patterns of scattered radiation, comparing cumulative a radiation intensity for each received scintillation pattern of the received plurality of scintillation patterns, and measuring a cumulative weighted average cross-movement within the medium using the compared cumulative radiation intensities.

Nutritional substance systems and methods are disclosed enabling the tracking and communication of changes in nutritional, organoleptic, and aesthetic values of nutritional substances, and further enabling the adaptive storage and adaptive conditioning of nutritional substances.

Gene expression data provides a basis for more accurate identification and diagnosis of lymphoproliferative disorders. In addition, gene expression data can be used to develop more accurate predictors of survival. The present invention discloses methods for identifying, diagnosing, and predicting survival in a lymphoma or lymphoproliferative disorder on the basis of gene expression patterns. The invention discloses a novel microarray, the Lymph Dx microarray, for obtaining gene expression data from a lymphoma sample. The invention also discloses a variety of methods for utilizing lymphoma gene expression data to determine the identity of a particular lymphoma and to predict survival in a subject diagnosed with a particular lymphoma. This information will be useful in developing the therapeutic approach to be used with a particular subject.

A method for in vitro diagnosing asphyxia and disorders related thereto, a method of in vitro estimating duration of hypoxia in a patient subjected to asphyxia, and a method for in vitro monitoring of normoxic, hypoxic and hyperoxic conditions and/or normobaric and hyperbaric oxygen therapy, includes quantitatively detecting in a biological sample of a patient a plurality of asphyxia specific endogenous compounds which are selected from the group consisting of biogenic amines; carnitine-derived compounds; amino acids; bile acids; carboxylic acids; eicosanoids; lipids; precursors of cholesterol, cholesterol metabolites; prostanoids; and sugars.