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Both genetic and epigenetic alterations can control the progression of cancer. Genetic alterations are impossible to reverse, while epigenetic alterations are reversible. This advantage suggests that epigenetic modifications should be preferred in therapy applications. DNA methyltransferases and histone deacetylases have become the primary targets for studies in epigenetic therapy. Some DNA methylation inhibitors and histone deacetylation inhibitors are approved by the US Food and Drug Administration as anti-cancer drugs. Therefore, the uses of epigenetic targets are believed to have great potential as a lasting favorable approach in treating breast cancer.

Fetal heart rate variability was derived from fetal magnetocardiogram recordings in ten subjects at gestation ages 32–38 weeks. Maternal interference was negligible and R-wave detection was highly reliable. Oscillations suggestive of respiratory sinus arrhythmia (RSA) were prominent in many of the heart rate tracings. Spectral analysis was used to quantify heart rate variability and to examine the influence of the RSA-like oscillations on heart rate variability. The oscillations were associated with increased power in the frequency range 0.4–1.0 Hz (P ≤ 0.05). Magnetic recording appears to offer significant advantages for investigation of beat-to-beat fetal heart rate throughout the latter stages of pregnancy.

Flow shop scheduling optimum is an important research field in flow shop manufactures enterprise. A optimum method for parallel multi machines flow shop schedule based on genetic algorithm by hybridising and mutating operators is provided with minimum weighted absolute delay time, the optimum solution based on genetic algorithm is proved to be effective by actual example.

Based on pattern recognition theory and support vector machine (SVM) network technology, automatic detection, location, segmentation and recognition of license plates characters are discussed in detail. A new method is presented to adopt gray-grads, shape and posture, vision model and so on. And a new multi-sorts classification method - binary exponent classification is proposed. By comparing least squares support vector machines (LS-SVM) with BP neural network in vehicle license plates pattern recognition and classification, Experimental results showed that SVM is more convenient, fast and nicely of judgment, and will be the mainstream of the future development in the application of finite sample data pattern recognition

Two different approaches, the conventional solvent evaporation induced self-assembly (EISA) and the novel solvent evaporation induced aggregating assembly (EIAA), were employed to synthesize ordered mesoporous silicas (OMSs), respectively, by using amphiphilic diblock copolymer poly(ethylene oxide)-b-poly(methyl methacrylate) as the template, with an aim to systematically investigate the difference of the two approaches and their effect on the textural properties of the obtained porous materials. The mesoporous silicas synthesized via the two methods possess face centered cubic (fcc) mesostructure, large pore size and high surface area. However, compared with the OMSs with a film-like morphology from EISA, the OMSs from the EIAA have a particle-like morphology, thinner pore wall and higher surface area, which is favorable for their applications. More importantly, the novel EIAA process is more versatile and can be used to synthesize ordered mesoporous silicas and silica-based nanostructured materials with different morphologies. By introducing ethanol as the additive in the EIAA system, unique mesoporous silica spheres with a diameter of 1–5 μm, large pore size (∼16.8 nm), huge window size (∼8.9 nm), and high surface area (∼482 m2 g−1) can be synthesized. Through increasing the content of water, uniform silica hollow spheres (20–40 nm in diameter) and silica nanotubes (diameter ∼30 nm) can be obtained by using templates with higher and lower molecular weight, respectively.

The authors show that oscillations at foetal breathing frequencies observed in foetal heart rate (FHR) tracings obtained from foetal magnetocardiogram (FMCG) recordings are often accompanied by synchronous modulation of FMCG signal amplitude. This implies an association between the FHR oscillations and foetal chest wall movements, corroborating the hypothesis that the oscillations are due to respiratory sinus arrhythmia.

We describe the development of computer visualization tools that display topographic maps of neuromagnetic data on a realistic head shape. Two topographic display modes are implemented — a "raw" mode that shows the actual position and orientation of the detection coils with respect to the head shape, as well as the magnetic field sensed by each coil, and a "cooked" mode, where the magnetic data is interpolated onto the scalp. False coloration is used to represent magnetic field strength. The topographic displays are combined with waveform displays in order to integrate spatial and temporal visualization of the data. Dipole fitting routines have also been incorporated into the software.

We have measured fetal magneto-cardiograms in three subjects of gestation ages 33–37 weeks. Maternal interference was negligible in all recordings. Accurate measures of heart rate, beat-to-beat variability, and averaged MCG waveforms were derived. The results confirm that magnetic monitoring offers significant advantages for antepartum monitoring and deserves further investigation.

The electric field integral equation (EFIE) and the magnetic field integral equation (MFIE) are widely used in conjunction with method of moments for electromagnetic scattering analysis of three-dimensional conducting objects with closed surfaces. However, the MFIE suffers from an accuracy problem compared with the EFIE with the use of the Rao-Wilton-Glisson (RWG) basis function. This accuracy problem is more serious for objects with sharp edges or corners. To solve this problem, a new technique to compute the impedance matrix elements (IME) of the MFIE using an RWG basis function is presented here. Details to compute the IME and the advantage of this new formulation are displayed. In addition, the relationship between this new IME formulation and the formulation using the low-order curl-conforming basis function for the MFIE is given. Through the computation of the RCS of several relatively small sharp-edged conducting objects, it is shown that the accuracy of the MFIE can be greatly improved by the use of the new IME formulation.