In expression recognition, feature representation is critical for successful recognition since it contains distinctive information of expressions. In this paper, a new approach for representing facial expression featu...In expression recognition, feature representation is critical for successful recognition since it contains distinctive information of expressions. In this paper, a new approach for representing facial expression features is proposed with its objective to describe features in an effective and efficient way in order to improve the recognition performance. The method combines the facial action coding system(FACS) and 'uniform' local binary patterns(LBP) to represent facial expression features from coarse to fine. The facial feature regions are extracted by active shape models(ASM) based on FACS to obtain the gray-level texture. Then, LBP is used to represent expression features for enhancing the discriminant. A facial expression recognition system is developed based on this feature extraction method by using K nearest neighborhood(K-NN) classifier to recognize facial expressions. Finally, experiments are carried out to evaluate this feature extraction method. The significance of removing the unrelated facial regions and enhancing the discrimination ability of expression features in the recognition process is indicated by the results, in addition to its convenience.展开更多
Purpose: To investigate dynamic changes and significance of lymphocyte subsets (T lymphocytes, B lymphocytes, NK cells and T cell subsets) of peripheral blood in patients with acute self-limited hepatitis B (AHB). Met...Purpose: To investigate dynamic changes and significance of lymphocyte subsets (T lymphocytes, B lymphocytes, NK cells and T cell subsets) of peripheral blood in patients with acute self-limited hepatitis B (AHB). Methods: Immune cells of peripheral blood were compared among 17 cases of self-limited acute hepatitis B patients, 36 patients with chronic hepatitis B (CHB) and 32 healthy controls by flow cytometry (FCM). CD4+/CD8+ was monitored dynamically, meanwhile relations between T lymphocyte subsets and ALT and clearance of HBV DNA were explored. Results: Dynamic changes of lymphocyte subsets were found in AHB, the level of CD3+T cells was significantly higher compared to CHB group and healthy control group. Frequencies of CD3+CD4+ T cells in the third and fourth week and CD4+/CD8+ in the second week were higher compared to other groups. Frequ- ency of NK cells was low and was significantly lower compared to other groups in the third week specially. It was showed that CD4+/CD8+ was low followed by high abnormal ALT during early stage by dynamic monitoring of CD4+/CD8+, and CD4+/CD8+ was increasing accompanied by normal ALT set by set, but CD4+/CD8+ had no significant relation to ALT and HBV DNA. Conclusion: Immune status of AHB, compared to CHB and healthy controls, was significantly different and dynamic changes of lymphocyte sub- sets may be related to progress of disease.展开更多
Since the hallmark discovery of Aequorea victoria＇s Green Fluorescent Protein （GFP） and its adaptation for efficient use in plants, fluorescent protein tags marking expression profiles or genuine proteins of intere...Since the hallmark discovery of Aequorea victoria＇s Green Fluorescent Protein （GFP） and its adaptation for efficient use in plants, fluorescent protein tags marking expression profiles or genuine proteins of interest have been used to recognize plant tissues and cell types, to monitor dynamic cell fate selection processes, and to obtain cell type-specific transcriptomes. Fluorescent tagging enabled visualization in living tissues and the precise recordings of dy- namic expression pattern changes. The resulting accurate recording of cell fate acquisition kinetics in space and time has strongly stimulated mathematical modeling of self-organizing feedback mechanisms. In developmental studies, the use of fluorescent proteins has become critical, where morphological markers of tissues, cell types, or differentiation stages are either not known or not easily recognizable. In this review, we focus on the use of fluorescent markers to identify and illuminate otherwise invisible cell states in plant development.展开更多
基金supported by National Natural Science Foundation of China(No.61273339)
文摘In expression recognition, feature representation is critical for successful recognition since it contains distinctive information of expressions. In this paper, a new approach for representing facial expression features is proposed with its objective to describe features in an effective and efficient way in order to improve the recognition performance. The method combines the facial action coding system(FACS) and 'uniform' local binary patterns(LBP) to represent facial expression features from coarse to fine. The facial feature regions are extracted by active shape models(ASM) based on FACS to obtain the gray-level texture. Then, LBP is used to represent expression features for enhancing the discriminant. A facial expression recognition system is developed based on this feature extraction method by using K nearest neighborhood(K-NN) classifier to recognize facial expressions. Finally, experiments are carried out to evaluate this feature extraction method. The significance of removing the unrelated facial regions and enhancing the discrimination ability of expression features in the recognition process is indicated by the results, in addition to its convenience.
文摘Purpose: To investigate dynamic changes and significance of lymphocyte subsets (T lymphocytes, B lymphocytes, NK cells and T cell subsets) of peripheral blood in patients with acute self-limited hepatitis B (AHB). Methods: Immune cells of peripheral blood were compared among 17 cases of self-limited acute hepatitis B patients, 36 patients with chronic hepatitis B (CHB) and 32 healthy controls by flow cytometry (FCM). CD4+/CD8+ was monitored dynamically, meanwhile relations between T lymphocyte subsets and ALT and clearance of HBV DNA were explored. Results: Dynamic changes of lymphocyte subsets were found in AHB, the level of CD3+T cells was significantly higher compared to CHB group and healthy control group. Frequencies of CD3+CD4+ T cells in the third and fourth week and CD4+/CD8+ in the second week were higher compared to other groups. Frequ- ency of NK cells was low and was significantly lower compared to other groups in the third week specially. It was showed that CD4+/CD8+ was low followed by high abnormal ALT during early stage by dynamic monitoring of CD4+/CD8+, and CD4+/CD8+ was increasing accompanied by normal ALT set by set, but CD4+/CD8+ had no significant relation to ALT and HBV DNA. Conclusion: Immune status of AHB, compared to CHB and healthy controls, was significantly different and dynamic changes of lymphocyte sub- sets may be related to progress of disease.
文摘Since the hallmark discovery of Aequorea victoria＇s Green Fluorescent Protein （GFP） and its adaptation for efficient use in plants, fluorescent protein tags marking expression profiles or genuine proteins of interest have been used to recognize plant tissues and cell types, to monitor dynamic cell fate selection processes, and to obtain cell type-specific transcriptomes. Fluorescent tagging enabled visualization in living tissues and the precise recordings of dy- namic expression pattern changes. The resulting accurate recording of cell fate acquisition kinetics in space and time has strongly stimulated mathematical modeling of self-organizing feedback mechanisms. In developmental studies, the use of fluorescent proteins has become critical, where morphological markers of tissues, cell types, or differentiation stages are either not known or not easily recognizable. In this review, we focus on the use of fluorescent markers to identify and illuminate otherwise invisible cell states in plant development.
