Abstract: The invention generally relates to systems and method for deep learning driven adaptive optics for single molecule localization microscopy. In certain aspects, the invention provides a system comprising: an imaging apparatus configured for conducting single-molecule localization microscopy (SMLM), wherein the imaging apparatus comprises a deformable mirror and a dynamic filter; and a processor operably associated with the imaging apparatus. In certain embodiments, the processor is configured to: monitor individual emission patterns produced via the imaging apparatus from a plurality of different single molecules in a sample; infer shared wavefront distortion for each of the individual emission patterns; provide the shared wavefront distortion for each of the individual emission patterns through the dynamic filter; and operate the deformable mirror to compensate for sample induced aberrations.

Abstract: A flow field identification method of artificial intelligence fish simulation system uses cluster server parallel sampling to obtain continuous flow field time series information data. After preprocessing the data, the method uses the lateral line perceptron of recurrent neural network or convolutional neural network based on long time series to continuously acquire data, train and iterate. Finally, the method can identify the flow field sequence data signal with time series property, wherein, the perceived flow field signals include but are not limited to velocity, pressure and vorticity, and the experimental results are continuously filled into the experimental database, which will have the effect of memory transplantation on the artificial fish and reduce the occurrence of repetitive errors. The method identifies the flow field of an artificial intelligence fish simulation system, which can fully reflect the characteristics of the flow field from the aspects of amplitude, frequency, and wavelength.

Abstract: The present disclosure provides compositions and methods for selectively killing cancer cells, wherein the composition comprises a compound of Formula (I). The selective killing of cancer cells occurs with an improved potency and safety profile compared to similar compounds. In particular, the compositions and methods of the invention show reduced platelet toxicity and retained or improved toxicity in cancer cells.

Abstract: The invention introduces a hydrodynamic free-surface Lattice Boltzmann (LB) simulation method and system, along with a storage medium. Initial parameters for a designated water body are obtained and fed into a pre-established three-dimensional hydrodynamic free-surface LB model for simulation calculations. The outcome includes precise data on the free water surface, flow velocity, and pressure of the target water body over time and space, generating a detailed three-dimensional spatial distribution map. The method enhances the second-order accuracy of the force term within the single-phase free-surface LB model. By integrating the single-phase free-surface LB model with surface tension and the SGS large eddy model, it achieves an efficient and accurate three-dimensional simulation of the target water body's free water surface, flow field, and pressure.

Abstract: The invention discloses a multi-field coupled Lattice Boltzmann (LB) simulation method and system designed for heat and mass transfer flow, along with a storage medium. Initial parameters of a target water body are acquired and imported into a pre-set multi-field coupled LB model for heat and mass transfer flow simulation. This process yields flow velocity distribution, temperature distribution, and pollutant concentration distribution information, facilitating the accurate depiction of a three-dimensional spatial distribution map of the flow field, temperature field, and concentration field of the target water body. Through the integration of a total energy distribution LB model and a passive scalar model via a force term, bidirectional coupling of the flow field, temperature field, and concentration field is achieved. This establishes a multi-field coupled LB model capable of accurately simulating water temperature and quality, surpassing conventional methods in water temperature simulation accuracy.

Abstract: The present disclosure belongs to the field of computational hydraulics and aims at providing a construction method and system for a hydrodynamic joint computation model, a device, and a medium.

Abstract: A fluorescent single molecule emitter simultaneously transmits its identity, location, and cellular context through its emission patterns. A deep neural network (DNN) performs multiplexed single-molecule analysis to enable retrieving such information with high accuracy. The DNN can extract three-dimensional molecule location, orientation, and wavefront distortion with precision approaching the theoretical limit of information content of the image which will allow multiplexed measurements through the emission patterns of a single molecule.

Abstract: A fluorescent single molecule emitter simultaneously transmits its identity, location, and cellular context through its emission patterns. A deep neural network (DNN) performs multiplexed single-molecule analysis to enable retrieving such information with high accuracy. The DNN can extract three-dimensional molecule location, orientation, and wavefront distortion with precision approaching the theoretical limit of information content of the image which will allow multiplexed measurements through the emission patterns of a single molecule.

Abstract: The invention is directed towards compounds (e.g., Formula (I)), their mechanism of action, and methods of modulating proliferation activity, and methods of treating diseases and disorders using the compounds described herein (e.g., Formula (I)).

Abstract: A fluorescent single molecule emitter simultaneously transmits its identity, location, and cellular context through its emission patterns. A deep neural network (DNN) performs multiplexed single-molecule analysis to enable retrieving such information with high accuracy. The DNN can extract three-dimensional molecule location, orientation, and wavefront distortion with precision approaching the theoretical limit of information content of the image which will allow multiplexed measurements through the emission patterns of a single molecule.

Abstract: In a hybrid computing system including at least one analog processor and at least one digital processor an embedded problem is repeatedly run or executed on the analog processor(s) to generate a first plurality of candidate solutions to the computational problem, the candidate solutions are returned to the digital processor(s) which determine a value for at least one statistical feature of the candidate solutions, at least one programmable parameter of the plurality of analog devices in the analog processor(s) is adjusted to at least partially compensate for deviations from an expected value of the at least one statistical feature, the expected value of the at least one statistical feature inferred from the structure of the embedded problem, the embedded problem is again repeatedly run or executed on the analog processor(s) to generate a second plurality of candidate solutions to the computational problem.

Abstract: The present disclosure provides compositions and methods for selectively killing senescent cells, wherein the composition comprises a compound of Formula (I) or a compound of Formula (II). The selective killing of senescent cells may delay aging and/or treat age-related disorders.