Abstract: The present invention discloses a non-interferometric, non-iterative complex amplitude reading method and apparatus. The reading method includes the following steps: diffracting a light beam containing amplitude information and phase information to obtain a diffraction pattern with intensity variations; constructing a diffraction intensity-complex amplitude model and training it based on the correlation between the diffraction pattern and amplitude information and phase information, and applying the trained model directly to new diffraction images to obtain amplitude information and phase information. The method can achieve detection of complex amplitude information, including amplitude and phase, from a single diffraction image, improve the stability and accuracy of phase reading results, increase the calculation speed, and simplify the optical system. It is suitable for applications in holographic storage, biomedical image processing, and microscopic imaging, among others.

Abstract: Methods of using an organic framework (OF) are provided herein, including methods of using an OF comprising a repeat unit of the formula: The OFs provided herein may be used in the separation of two or more molecules from each other. In some embodiments, the molecules are propylene and propane.

Abstract: A matrix operation-based method for modifying a mobile social network graph, including step S1: obtaining a accessibility matrix set A of a social network graph to be modified; step S2: determining information to be modified for each node in the social network graph to be modified, and creating a List to be modified; step S3: for each node in the social network graph to be modified, determining whether edge adding is required according to the List to be modified; and step S4: if there is still a non-zero value in the List after all nodes are traversed, directly adding Max(List) nodes to a network, and randomly performing edge connection between the added nodes and nodes still requiring edge adding, so that all values in the List are zero, thereby completing graph modification.

Abstract: The present invention discloses a detection and analysis method for urine-modified nucleoside based on a surface-enhanced resonance Raman spectroscopy technology. In the method, a tumor marker modified nucleoside in the urine of a normal person and a cancer patient is extracted through the specificity of borophenylic acid gel; Au colloid is taken as an enhancing substrate to detect SERRS signals; and statistical analysis is conducted by using PLS-DA algorithms to establish a diagnosis and identification model for the SERRS of the urine-modified nucleoside. The model is used to discriminate that the to-be-detected urine-modified nucleoside belongs to the normal person or the cancer patient. After PLS-DA, the surface-enhanced resonance Raman spectroscopy data of the urine-modified nucleoside of the present invention has specificity of 96.9%, sensitivity of 98.2% and accuracy of 97.6%.

Abstract: The present invention discloses a detection and analysis method for urine-modified nucleoside based on a surface-enhanced resonance Raman spectroscopy technology. In the method, a tumor marker modified nucleoside in the urine of a normal person and a cancer patient is extracted through the specificity of borophenylic acid gel; Au colloid is taken as an enhancing substrate to detect SERRS signals; and statistical analysis is conducted by using PLS-DA algorithms to establish a diagnosis and identification model for the SERRS of the urine-modified nucleoside. The model is used to discriminate that the to-be-detected urine-modified nucleoside belongs to the normal person or the cancer patient. After PLS-DA, the surface-enhanced resonance Raman spectroscopy data of the urine-modified nucleoside of the present invention has specificity of 96.9%, sensitivity of 98.2% and accuracy of 97.6%.