Psychological Education Health Assessment Problems Based on Improved Constructive Neural Network.

In order to better assess the mental health status, combining online text data and considering the problems of lexicon sparsity and small lexicon size in feature statistics of word frequency of the traditional linguistic inquiry and word count (LIWC) dictionary, and combining the advantages of constructive neural network (CNN) convolutional neural network in contextual semantic extraction, a CNN-based mental health assessment method is proposed and evaluated with the measurement indicators in CLPsych2017. The results showed that the results obtained from the mental health assessment by CNN were superior in all indicators, in which F1 = 0.51 and ACC = 0.

[The simultaneous measurements of time-dependent laser-induced fluorescence intensity of hematoporphyrin monomethyl ether in animal tissues with rheumatoid arthritis].

Since the selectivity of photodynamic therapy (PDT) depends on the distribution of a photosensitizer in a tissue during the treatment, an investigation of drug distribution is a key step for performing PDT effectively. The distribution of photosensitizer absorbed in tissues is adjusted by the animal body system, so an apparatus that can measure the fluorescence intensity of photosensitizer in different tissues of the same body simultaneously is in demand. To achieve precise estimate of tissue selectivity of the photosensitizer, a spatially separated three-channel laser-induced fluorescence (LIF) detection system was set up and employed in the present study to measure the fluorescence intensity of Hematoporphyrin Monomethyl Ether (HMME) in different tissues of the same body simultaneously.