A 54-year-old man was admitted for the evaluation of fever and abodominal pain. Radiological and endo- scopic examination revealed a lung nodule and multiple small intestine uclers. Clinical diagnosis such as tubercul...A 54-year-old man was admitted for the evaluation of fever and abodominal pain. Radiological and endo- scopic examination revealed a lung nodule and multiple small intestine uclers. Clinical diagnosis such as tuberculosis and Crohn＇s disease had been proposed. He developed intestine perforation after small bowel endoscopic procedure. During emergent surgery the involved intestinal segments were resected and a pathological diagnosis of fibroblastic histiocytic sarcoma （FBRC） was made. The patient died in the sixth month after the operation. The management of this cases highlig^t~ the ~rawback of pattern recogn^tio~ as the most commonly used clinical reasoning method, and the importance of histological investigation.展开更多
The presence of irrelevant and correlated data points in a Raman spectrum can lead to a decline in classifier performance. We introduce support vector machine （SVM）-based recursive feature elimination into the field...The presence of irrelevant and correlated data points in a Raman spectrum can lead to a decline in classifier performance. We introduce support vector machine （SVM）-based recursive feature elimination into the field of Raman spectroscopy and demonstrate its performance on a data set of spectra of clinically relevant microorganisms in urine samples, along with patient samples. As the original technique is only suitable for two-class problems, we adapt it to the multi-class setting. It is shown that a large amount of spectral points can be removed without degrading the prediction accuracy of the resulting model notably.展开更多
In this paper, we investigate the spatiotemporal dynamics of a reactio^diffusion epi- demic model with zero-flux boundary conditions. The value of our study lies in two aspects： mathematically, by using maximum princ...In this paper, we investigate the spatiotemporal dynamics of a reactio^diffusion epi- demic model with zero-flux boundary conditions. The value of our study lies in two aspects： mathematically, by using maximum principle and the linearized stability theory, a priori estimates of the steady state system and the local asymptotic stability of positive constant solution are given. By using the implicit function theorem, the exis- tence and nonexistence of nonconstant positive steady states are shown. Applying the bifurcation theory, the global bifurcation structure of nonconstant positive steady states is established. Epidemiologically, through numerical simulations, under the conditions of the existence of nonconstant positive steady states, we find that the smaller the space, the easier the pattern formation; the bigger the diffusion, the easier the pattern formation. These results are beneficial to disease control, that is, we must do our best to control the diffusion of the infectious to avoid disease outbreak.展开更多
文摘A 54-year-old man was admitted for the evaluation of fever and abodominal pain. Radiological and endo- scopic examination revealed a lung nodule and multiple small intestine uclers. Clinical diagnosis such as tuberculosis and Crohn＇s disease had been proposed. He developed intestine perforation after small bowel endoscopic procedure. During emergent surgery the involved intestinal segments were resected and a pathological diagnosis of fibroblastic histiocytic sarcoma （FBRC） was made. The patient died in the sixth month after the operation. The management of this cases highlig^t~ the ~rawback of pattern recogn^tio~ as the most commonly used clinical reasoning method, and the importance of histological investigation.
文摘The presence of irrelevant and correlated data points in a Raman spectrum can lead to a decline in classifier performance. We introduce support vector machine （SVM）-based recursive feature elimination into the field of Raman spectroscopy and demonstrate its performance on a data set of spectra of clinically relevant microorganisms in urine samples, along with patient samples. As the original technique is only suitable for two-class problems, we adapt it to the multi-class setting. It is shown that a large amount of spectral points can be removed without degrading the prediction accuracy of the resulting model notably.
文摘In this paper, we investigate the spatiotemporal dynamics of a reactio^diffusion epi- demic model with zero-flux boundary conditions. The value of our study lies in two aspects： mathematically, by using maximum principle and the linearized stability theory, a priori estimates of the steady state system and the local asymptotic stability of positive constant solution are given. By using the implicit function theorem, the exis- tence and nonexistence of nonconstant positive steady states are shown. Applying the bifurcation theory, the global bifurcation structure of nonconstant positive steady states is established. Epidemiologically, through numerical simulations, under the conditions of the existence of nonconstant positive steady states, we find that the smaller the space, the easier the pattern formation; the bigger the diffusion, the easier the pattern formation. These results are beneficial to disease control, that is, we must do our best to control the diffusion of the infectious to avoid disease outbreak.
