Abstract: A method and system for predicting regional gas consumption, and a device and a cloud platform. The future gas consumption of all gas users in an entire region is predicted according to a user-specified region and date; all networked gas users in the region are extracted during a prediction process by using spatial address matching technology; and then, by means of classifying the users and sampling the users in combination with statistics, representative sample users are extracted from all the users for respective prediction, thereby reducing the computation amount and computing resource consumption, which are required for model prediction. The method and system is mounted on a cloud platform, and the cloud platform receives, by means of Internet of Things technology, gas flow data that is uploaded by gas flow metering devices of all networked gas users, and also provides an interface for interacting with the users for the outside.

Abstract: Provided herein are, inter alia, methods and composition for the treatment of cancers that are recalcitrant to treatment and/or become resistant to certain drug treatments. The methods provided may, inter alia, be used to treat cancer in subjects having elevated STAT1 activity levels.

Abstract: The present subject matter relates to techniques for systems and methods for determining alpha phase in brain of subjects undergoing depressive disorder. The disclosed system for a closed-loop operation in simultaneous functional magnetic resonance imaging (fMRI)-electroencephalogram (EEG)-transcranial magnetic stimulation (TMS), can include a processor that be configured to receive and process a functional magnetic resonance imaging (fMRI) data and/or an extracranial electroencephalogram (EEG) data and/or transcranial magnetic stimulation (TMS) pulse simultaneously.

Abstract: A method for establishing mathematical model of relationship between spontaneous imbibition volume and time of porous medium includes sample pretreatment, fully-saturation and centrifugal experiments and NMR T2 measurement. First, two rock core samples of predetermined size are selected for cleaning and drying. The first rock sample is vacuumed and injected with water to obtain a saturated sample for NMR T2 measurement. Then, spontaneous imbibition experiment is conducted on another sample, and T2 measurements are conducted to obtain the water distribution and migration characteristics during the imbibition process. Next, the calculation of the imbibition permeability, average capillary pressure and surface relaxivity are conducted based on the NMR data obtained from two samples. Finally, substitute these parameters into the Handy relationship to obtain a new NMR-based mathematical spontaneous imbibition model.