A GPU-based integrated processing method for geochemical data, includes the following steps: S1, storing geochemical data in a format of a preset three-dimensional array data structure Struct_A, S2, iteratively processing the formatted geochemical data by using a compute shader in a GPU, calculating a mean value and a standard deviation of content of each chemical element, calculating a threshold value of the chemical element, eliminating sampling points according to the threshold value, repeating the operations until there is no sampling point to be eliminated, and calculating a final mean value as a background value and a final threshold value as a lower limit value of anomaly; and S3, constructing spatial coordinates according to the obtained new geochemical data set, loading the spatial coordinates into a fragment shader for rendering, and completing anomaly delineation according to the background value and the lower limit value of anomaly.

A machine learning framework is described for performing generation of candidate molecules for, e.g., drug discovery or other applications. The framework utilizes a pre-trained encoder-decoder model to interface between representations of molecules and embeddings for those molecules in a latent space. A fusion module is located between the encoder and decoder and is used to fuse an embedding for an input molecule with embeddings for one or more exemplary molecules selected from a database that is constructed according to a design criteria. The fused embedding is decoded using the decoder to generate a candidate molecule. The fusion module is trained to reconstruct a nearest neighbor to the input molecule from the database based on the sample of exemplary molecules. An iterative approach may be used during inference to dynamically update the database to include newly generated candidate molecules.

The invention generally relates to systems methods for screening a sample based on multiple reaction monitoring mass spectrometry. In certain embodiments, the invention provides methods for screening a sample that involve ionizing a sample. Mass spectrometry is then used in order to monitor specific transitions connecting one or more ion pairs within the sample in order to generate a multidimensional chemical profile of the sample. Then, the multidimensional chemical profile of the sample is compared to a database of reference multidimensional chemical profiles, thereby screening the sample. Each reference multidimensional chemical profile is produced from a training set of data.

Certain aspects of the present disclosure are generally directed to monitoring different decoding candidates assuming different encoding schemes. For example, certain aspects of the present disclosure are directed to a method for wireless communication. The method generally includes determining a first encoding scheme used to encode first downlink control information (DCI) and a second encoding scheme used to encode second DCI, and monitoring one or more first decoding candidates for the first DCI based on the first encoding scheme and one or more second decoding candidate for the second DCI based on the second encoding scheme.

The described technology may include processes to model acid-base homeostasis in normal patients and under acid-base disorder conditions. In one embodiment, a method may include an acid-base homeostasis analysis. The method may include, via a processor of a computing device: providing a physiological acid-base model configured to model acid-base homeostasis of a virtual patient, the physiological acid-base model to: determine a plurality of operating parameters for an HCO.sub.3/CO.sub.2 buffering system having renal and pulmonary regulatory mechanisms, determine acid-base information comprising a bicarbonate concentration, a carbon dioxide concentration, and a free hydrogen ions concentration via simulating the HCO.sub.3/CO.sub.2 buffering system, and determine predicted patient information based on the acid-base information. Other embodiments are described.

The described technology may include processes to model acid-base homeostasis in normal patients and under acid-base disorder conditions. In one embodiment, a method may include an acid-base homeostasis analysis. The method may include, via a processor of a computing device: providing a physiological acid-base model configured to model acid-base homeostasis of a virtual patient, the physiological acid-base model to: determine a plurality of operating parameters for an HCO.sub.3/CO.sub.2 buffering system having renal and pulmonary regulatory mechanisms, determine acid-base information comprising a bicarbonate concentration, a carbon dioxide concentration, and a free hydrogen ions concentration via simulating the HCO.sub.3/CO.sub.2 buffering system, and determine predicted patient information based on the acid-base information. Other embodiments are described.

The disclosure provides a method for establishing a hydrogen charging model for pipeline steel in an equivalent wet hydrogen sulfide environment and an application thereof, which belongs to the field of corrosion electrochemistry. The method includes the following steps: using a cathode hydrogen charging method and a wet hydrogen sulfide environment method respectively to perform hydrogen charging on each sample to be tested under different reaction conditions to obtain several first hydrogen charging samples and second hydrogen charging samples; measuring the hydrogen content of each of the first hydrogen charging sample and the second hydrogen charging sample; performing curve fitting on the variables in the two methods respectively according to the obtained hydrogen content, and the hydrogen charging model for pipeline steel in the equivalent wet hydrogen sulfide environment is obtained according to the fitting result.

The disclosure provides a method for establishing a hydrogen charging model for pipeline steel in an equivalent wet hydrogen sulfide environment and an application thereof, which belongs to the field of corrosion electrochemistry. The method includes the following steps: using a cathode hydrogen charging method and a wet hydrogen sulfide environment method respectively to perform hydrogen charging on each sample to be tested under different reaction conditions to obtain several first hydrogen charging samples and second hydrogen charging samples; measuring the hydrogen content of each of the first hydrogen charging sample and the second hydrogen charging sample; performing curve fitting on the variables in the two methods respectively according to the obtained hydrogen content, and the hydrogen charging model for pipeline steel in the equivalent wet hydrogen sulfide environment is obtained according to the fitting result.

The disclosure provides a method for establishing a hydrogen charging model for pipeline steel in an equivalent wet hydrogen sulfide environment and an application thereof, which belongs to the field of corrosion electrochemistry. The method includes the following steps: using a cathode hydrogen charging method and a wet hydrogen sulfide environment method respectively to perform hydrogen charging on each sample to be tested under different reaction conditions to obtain several first hydrogen charging samples and second hydrogen charging samples; measuring the hydrogen content of each of the first hydrogen charging sample and the second hydrogen charging sample; performing curve fitting on the variables in the two methods respectively according to the obtained hydrogen content, and the hydrogen charging model for pipeline steel in the equivalent wet hydrogen sulfide environment is obtained according to the fitting result.

The disclosure provides a method for establishing a hydrogen charging model for pipeline steel in an equivalent wet hydrogen sulfide environment and an application thereof, which belongs to the field of corrosion electrochemistry. The method includes the following steps: using a cathode hydrogen charging method and a wet hydrogen sulfide environment method respectively to perform hydrogen charging on each sample to be tested under different reaction conditions to obtain several first hydrogen charging samples and second hydrogen charging samples; measuring the hydrogen content of each of the first hydrogen charging sample and the second hydrogen charging sample; performing curve fitting on the variables in the two methods respectively according to the obtained hydrogen content, and the hydrogen charging model for pipeline steel in the equivalent wet hydrogen sulfide environment is obtained according to the fitting result.