181 research outputs found

    Effect of temozolomide combined with radiotherapy on survival and MGMT protein expression in recurrent malignant glioma patients

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    Purpose: To investigate the effect of temozolomide (TMZ) combined with radiotherapy (RT) on O-6- methylguanine-DNA methyltransferase (MGMT) protein and survival of recurrent malignant glioma patients. Methods: Ninety-two patients with malignant glioma in our hospital from January 2014 to January 2015 were assigned to study and control groups using the random table method. Subjects in the control group received radiotherapy (total dose in the range of 60 – 75 Gy), while those in the study group were given TMZ orally (75 mg/m2) daily in addition to radiotherapy, as well as TMZ at 150 – 200 mg/m2. After treatment, clinical effectiveness was compared for the two groups. Changes in methylation of MGMT gene were determined in the two groups. The patients were followed up for 3 years, and the degrees of survival and recurrence were recorded. Results: Total effectiveness of clinical treatment was markedly higher in the study group (76.09 %) than in the control group (45.65 %; p < 0.05). One month after radiotherapy, significant decrease in MGMT gene methylation was seen in patients in the study group, relative to control patients (p < 0.05). Patients in the study group had lower median recurrence but higher degree of survival in the 2nd and 3rd years, relative to control patients (p < 0.05). Conclusion: The combination of temozolomide and radiotherapy is more effective than radiotherapy in the treatment of recurrent malignant glioma. The combined treatment significantly inhibits tumor recurrence in patients, and improves their prognosis and standard of life

    Learning Specialized Activation Functions for Physics-informed Neural Networks

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    Physics-informed neural networks (PINNs) are known to suffer from optimization difficulty. In this work, we reveal the connection between the optimization difficulty of PINNs and activation functions. Specifically, we show that PINNs exhibit high sensitivity to activation functions when solving PDEs with distinct properties. Existing works usually choose activation functions by inefficient trial-and-error. To avoid the inefficient manual selection and to alleviate the optimization difficulty of PINNs, we introduce adaptive activation functions to search for the optimal function when solving different problems. We compare different adaptive activation functions and discuss their limitations in the context of PINNs. Furthermore, we propose to tailor the idea of learning combinations of candidate activation functions to the PINNs optimization, which has a higher requirement for the smoothness and diversity on learned functions. This is achieved by removing activation functions which cannot provide higher-order derivatives from the candidate set and incorporating elementary functions with different properties according to our prior knowledge about the PDE at hand. We further enhance the search space with adaptive slopes. The proposed adaptive activation function can be used to solve different PDE systems in an interpretable way. Its effectiveness is demonstrated on a series of benchmarks. Code is available at https://github.com/LeapLabTHU/AdaAFforPINNs

    A CASE STUDY: EVALUATING THE DIFFERENCE OF TECHNIQUE BY USING EFFICIENCY INDEX IN ELITE MALE FREESTYLE SWIMMERS

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    The purpose of the study was to evaluating the difference of technique by using efficiency index in elite male freestyle swimmers during their training periods. Two swimmers were selected to take a 6 x 50 m freestyle descend set in a 50 m swimming pool. The mean velocity (MV), stroke length (SL), stroke cycle (Se), efficiency index (El) and concentration of blood lactate (BL) were measured and compared to illuminate the difference of swimming technique and its impact on the performance level. According to previous and present studies, efficiency index is a useful measurement to evaluate the efficiency of the technique of swimmers. From limited number of subjects in the study, we speculated that the most effective intensity of improving efficiency of swimming technique is a little bit higher than anaerobic threshold
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