Toward unsupervised adaptation of LDA for brain-computer interfaces

There is a step of significant difficulty experienced by brain-computer interface (BCI) users when going from the calibration recording to the feedback application. This effect has been previously studied and a supervised adaptation solution has been proposed. In this paper, we suggest a simple unsupervised adaptation method of the linear discriminant analysis (LDA) classifier that effectively solves this problem by counteracting the harmful effect of nonclass-related nonstationarities in electroencephalography (EEG) during BCI sessions performed with motor imagery tasks. For this, we first introduce three types of adaptation procedures and investigate them in an offline study with 19 datasets. Then, we select one of the proposed methods and analyze it further. The chosen classifier is offline tested in data from 80 healthy users and four high spinal cord injury patients. Finally, for the first time in BCI literature, we apply this unsupervised classifier in online experiments. Additionally, we show that its performance is significantly better than the state-of-the-art supervised approach.     

Light‐Controlled Reversible Manipulation of Microgel Particle Size Using Azobenzene‐Containing Surfactant

The light‐induced reversible switching of the swelling of microgel particles triggered by photo‐isomerization and binding/unbinding of a photosensitive azobenzene‐containing surfactant is reported. The interactions between the microgel (N‐isopropylacrylamide, co‐monomer: allyl acetic acid, crosslinker: N,N′‐methylenebisacrylamide) and the surfactant are studied by UV‐Vis spectroscopy, dynamic and electrophoretic light scattering measurements. Addition of the surfactant above a critical concentration leads to contraction/collapse of the microgel. UV light irradiation results in trans‐cis isomerization of the azobenzene unit incorporated into the surfactant tail and causes an unbinding of the more hydrophilic cis isomer from the microgel and its reversible swelling. The reversible contraction can be realized by blue light irradiation that transfers the surfactant back to the more hydrophobic trans conformation, in which it binds to the microgel. The phase diagram of the surfactant‐microgel interaction and transitions (aggregation, contraction, and precipitation) is constructed and allows prediction of changes in the system when the concentration of one or both components is varied. Remote and reversible switching between different states can be realized by either UV or visible light irradiation.     

建立精密的直流浮动电流源

尽管有源滤波器的理论家和设计者都对GIC（通用阻抗变换器）非常熟悉，但一般模拟人员对它并不了解。一个单端口有源电路一般包括低成本运放、电阻和电容，GIC将容抗转换为感抗，因而可以替代滤波器中以RLC传输函数描述的电感。另外，GIC输入阻抗方程的灵活性允许进行虚拟阻抗的设计，这在实际元器件中是不存在的，例如依赖频率的电阻。GIC是30年前推出的，已广泛应用于交流电路和有源滤波电路。     

30-40-GHz drain-pumped passive-mixer MMIC fabricated on VLSI SOI CMOS technology

In this paper, a passive down mixer is proposed, which is well suited for short-channel field-effect transistor technologies. The authors believe that this is the first drain-pumped transconductance mixer that requires no dc supply power. The monolithic microwave integrated circuit (MMIC) is fabricated using digital 90-nm silicon-on-insulator CMOS technology. All impedance matching, bias, and filter elements are implemented on the chip, which has a compact size of 0.5 mm/spl times/0.47 mm. The circuit covers a radio frequency range from 30 to 40 GHz. At a RF frequency of 35 GHz, an intermediate frequency of 2.5 GHz and a local-oscillator (LO) power of 7.5 dBm, a conversion loss of 4.6 dB, a single-sideband (SSB) noise figure (NF) of 7.9 dB, an 1-dB input compression point of -6 dBm, and a third-order intercept point at the input of 2 dBm were measured. At lower LO power of 0 dBm, a conversion loss of 6.3 dBm and an SSB NF of 9.7 dB were measured, making the mixer an excellent candidate for low power-consuming wireless local-area networks. All results include the pad parasitics. To the knowledge of the authors, this is the first CMOS mixer operating at millimeter-wave frequencies. The achieved conversion loss is even lower than for passive MMIC mixers using leading edge III/V technologies, showing the excellent suitability of digital CMOS technology for analog circuits at millimeter-wave frequencies.     

A meshless method for solving the EEG forward problem

We present a numerical method to solve the quasistatic Maxwell equations and compute the electroencephalography (EEG) forward problem solution. More generally, we develop a computationally efficient method to obtain the electric potential distribution generated by a source of electric activity inside a three-dimensional body of arbitrary shape and layers of different electric conductivities. The method needs only a set of nodes on the surface and inside the head, but not a mesh connecting the nodes. This represents an advantage over traditional methods like boundary elements or finite elements since the generation of the mesh is typically computationally intensive. The performance of the proposed method is compared with the boundary element method (BEM) by numerically solving some EEG forward problems examples. For a large number of nodes and the same precision, our method has lower computational load than BEM due to a faster convergence rate and to the sparsity of the linear system to be solved.     

MEG forward problem formulation using equivalent surface current densities

We present a formulation for the magnetoencephalography (MEG) forward problem with a layered head model. Traditionally the magnetic field is computed based on the electric potential on the interfaces between the layers. We propose to express the effect of the volumetric currents in terms of an equivalent surface current density on each interface, and obtain the magnetic field based on them. The boundary elements method is used to compute the equivalent current density and the magnetic field for a realistic head geometry. We present numerical results showing that the MEG forward problem is solved correctly with this formulation, and compare it with the performance of the traditional formulation. We conclude that the traditional formulation generally performs better, but still the new formulation is useful in certain situations.     

Reading the footprints of strained islands

We report on recent advances in the understanding of surface processes occurring during growth and post-growth annealing of strained islands which may find application as self-assembled quantum dots. We investigate the model system SiGe/Si(0 0 1) by a new approach based on “reading the footprints” which islands leave on the substrate during their growth and evolution. Such footprints consist of trenches carved in the Si substrate. We distinguish between surface footprints and footprints buried below the islands. The former allow us to discriminate islands which are in the process of growing from those which are shrinking. Islands with steep morphologies grow at the expense of smaller and shallower islands, consistent with the kinetics of anomalous coarsening. While shrinking, islands change their shape according to thermodynamic predictions. Buried footprints are investigated by removing the SiGe epilayer by means of selective wet chemical etching. Their reading shows that: (i) during post-growth annealing islands move laterally because of surface-mediated Si–Ge intermixing; (ii) a tree-ring structure of trenches is created by dislocated islands during their “cyclic” growth. This allows us to distinguish coherent from dislocated islands and to establish whether the latter are the result of island coalescence.     

Adhesion studies for probiotics: need for validation and refinement

Adhesion of probiotic bacteria to intestinal epithelial cells is regarded as a prerequisite to exert beneficial health effects. Human intestinal epithelial lines, like Caco-2 or HT-29 cells, have been extensively used to select for adhesive strains in vitro. Adhesion to intestinal mucus has been used to a lesser extent. However, to date, there has been no standardization of the conditions used in in vitro adhesion assays. As a consequence, results obtained in different laboratories using identical strains, but different assay conditions, show great variability. This lack of standardization complicates the interpretation of data and discrepancies emerge on what is meant by effective adhesion. A critical validation of in vitro adhesion is essential for the food industry, using adhesion assays as predicitve screening tools to assess new probiotic strains. In this review we summarize a comparative study on adhesion of the well characterized probiotic bacteria L. johnsonii La1 and L. rhamnosus GG with respect to the influence of bacterial growth conditions, growth phase, buffer, pH, and mucus on adhesion properties. The results are employed in the current scientific discussion to allow a critical evaluation on the reliability of the in vitro assays.     

Blue lasing at room temperature in an optically pumped lattice-matched AlInN=GaN VCSEL structure

Laser action with low threshold average pump power density (~50 W - cm^-2 ) at room temperature is reported for a crack-free planar vertical cavity surface emitting laser (VCSEL) structure based on a bottom lattice-matched AllnN/GaN distributed Bragg reflector (DBR) and a top dielectric DBR. The cavity region, formed by n- and p-type GaN layers surrounding only three InGaN/GaN quantum wells, corresponds to a typical active region suitable for an electrically driven VCSEL. In addition to low threshold, a spontaneous emission coupling factor beta ~ 2 x 10^-10 is derived for this ready-to-be-processed laser structure.