Exosomal MicroRNAs as Potential Biomarkers of Hepatic Injury and Kidney Disease in Glycogen Storage Disease Type Ia Patients

Glycogen storage disease type Ia (GSDIa) is an inherited metabolic disorder caused by mutations in the enzyme glucose-6-phosphatase-α (G6Pase-α). Affected individuals develop renal and liver complications, including the development of hepatocellular adenoma/carcinoma and kidney failure. The purpose of this study was to identify potential biomarkers of the evolution of the disease in GSDIa patients. To this end, we analyzed the expression of exosomal microRNAs (Exo-miRs) in the plasma exosomes of 45 patients aged 6 to 63 years. Plasma from age-matched normal individuals were used as controls. We found that the altered expression of several Exo-miRs correlates with the pathologic state of the patients and might help to monitor the progression of the disease and the development of late GSDIa-associated complications.     

Nanostructure and crystallisation kinetics of poly(ethylene oxide)/poly(4-vinylphenol-co-2-hydroxyethyl methacrylate) blends

Blends of poly(ethylene oxide) (PEO) and poly(4-vinylphenol-co-2-hydroxyethyl methacrylate) (PVPh-HEM) were studied by means of synchrotron small and wide angle X-ray scattering (SAXS and WAXS, respectively) and by differential scanning calorimetry (DSC). The DSC measurements were used in the determination of the Flory–Huggins interaction parameter and also to study the isothermal and non-isothermal crystallisation kinetics of the PEO/PVPh-HEM blend. The interaction parameter, χ₁₂, was found to be negative (between −0.5 and −2.5, approximately) and presented a significant dependence on the blend composition, which is expected for a system with specific interactions such as hydrogen bonding. From the kinetic studies with Kissinger, Friedman and Avrami models, it was shown that crystallisation of PEO chains is slower in the blend than in the pure polymer, despite the decrease in the energy barrier to the crystallisation with the increase in PVPh-HEM concentration.

From the SAXS and WAXS profiles, the nanostructure of the blend was elucidated, exhibiting the formation of PEO lamellae even in the blends containing high concentrations of PVPh-HEM, which are non-crystalline (as observed by the WAXS profiles). The thickness of the PEO lamellae (R_c, approximately 8 nm) remains almost unchanged with the blend composition, while the crystalline peaks, observed at 19.78 and 23.98°, vanish, and the WAXS profile exhibits only a non-crystalline halo. For the non-crystalline blends with high concentrations of PVPh-HEM, PEO chains keep their crystalline structural memory.     

A novel low‐power receiver topology for RF and microwave applications

A novel low‐power receiver topology for radio‐frequency and microwave applications is presented. The proposed solution exploits a simple connection between the low‐noise amplifier and the subsequent mixer, which is realized by means of a high‐value resistor and a current mirror, achieving low noise and high linearity performance with an extremely low power consumption. The criteria for its optimal design are derived in order to accomplish the main trade‐offs among noise figure (NF), linearity, and current consumption performance. As a case of study, the new topology has been designed in the case of I/Q direct conversion receiver for IEEE 802.15.4 standard (ZigBee) applications at 2.45 GHz. The receiver exhibits a NF of 8.7 dB, 50Ω input impedance, a voltage gain of 26 dB, an input‐referred third‐order intercept point of ?13 dBm, and a power consumption of 8.6 mW, which represent one of the best performance trade‐offs obtained in the literature. Copyright © 2008 John Wiley & Sons, Ltd.     

Mechatronic analysis of a complex transmission chain for performance optimization in a machine tool

Mechatronic models of complex mechanical systems allow to assemble reliable simulators, which can be used to test alternative choices made at component level. When the complexity of the system is significant, however, it is neither easy to model the interactions among different elements, nor immediate to identify the components responsible for a possible loss of performance of the system. Based on a detailed linear model of a complex transmission chain used within a large size machine tool, this paper contributes presenting a methodology, supported by modal analysis, to quantify the sensitivity of each vibration mode to the stiffness of each component. A nonlinear simulator of the transmission has been derived, too, and its remarkable performance in reproducing the experiments is demonstrated. Insight on the role of Coulomb friction is also provided, together with a practical way to split the overall friction between motor and load sides.     

Intercalation of Ru(II) tris (1,10-phenanthroline) complex in α- and γ-zirconium dihydrogen phosphate. Synthesis, thermal behaviour and X-ray characterization

Layered inorganic systems such as ion-exchangers (α- and γ-zirconium dihydrogen phosphate) already used as hosts for larger cations, were studied for the intercalation of Ru(II) tris (1,10-phenanthroline) complex into these host matrices. The uptake of the complex occurs using the batch method; the colour of the materials changes from white to brilliant orange; the highest ion uptake is obtained in the case of the γ-phase. The materials obtained are thermally stable up to ∼350 °C and the complex decomposition occurs in two (α-phase) or three (γ-phase) steps. The complex decomposition is complete at ∼700 °C and at 550 °C (respectively for α- and γ-Ru(II) materials). As can be seen from the X-ray patterns, the Ru(II) materials are still layered and show a new phase with an increase in the interlayer distance with respect to the starting materials. The hydrogen form is always present in the case of the α-materials; whereas, in the case of the γ-materials, it is present when ≤0.12 moles of the complex/mole of exchanger are inserted. Microanalysis measurements confirm the fact that the Ru(II) complex is not modified when exchanged.     

Depth Resolving Power in Near Zone: Numerical Results for a Strip Source

The problem of determining an unknown rectilinear source from the knowledge of its radiated field over a rectilinear bounded observation domain located in the near zone, orthogonal and centered with respect to the source is dealt with. In particular, we firstly analyze the information content of data by means of the Singular Value Decomposition of the radiation operator. Secondly, the resolution limits achievable in the reconstruction are discussed by examining the effect of the key geometrical parameters of the measurement configuration.     

22.7-dB Gain $-$19.7-dBm $ICP_{1{rm dB}}$ UWB CMOS LNA

A fully differential CMOS ultrawideband low-noise amplifier (LNA) is presented. The LNA has been realized in a standard 90-nm CMOS technology and consists of a common-gate stage and two subsequent common-source stages. The common-gate input stage realizes a wideband input impedance matching to the source impedance of the receiver (i.e., the antenna), whereas the two subsequent common-source stages provide a wideband gain by exploiting RLC tanks. The measurements have exhibited a transducer gain of 22.7 dB at 5.2 GHz, a 4.9-GHz-wide B _3dB, an input reflection coefficient lower than -10.5 dB, and an input-referred 1-dB compression point of -19.7 dBm, which are in excellent agreement with the postlayout simulation results, confirming the approach validity and the design robustness.     

Cognitive Mesh Network Under Interference from Primary User

In a commonly accepted usage scenario, a cognitive radio appears as a secondary user of certain spectrum which is licensed to another, primary system. A prominent example of cognitive system is a mesh network operating under the interference from primary system. For such a scenario, we propose techniques for efficient secondary usage of spectrum, which rely on the adaptive array antenna in order to reduce the interference between the primary and the cognitive system. In order to keep the hardware complexity as small as possible, the number of antennas at each cognitive node should be small. However, with the simplest 2-element linear adaptive array, the created antenna pattern can result in non-optimized pattern between cognitive nodes in the mesh network. In order to solve such a problem, this paper introduces a simple antenna pattern switching where each cognitive node is equipped with three antennas, and tries to select the antenna configuration constituting 2-element linear array with the best antenna pattern for each link. The proposed configuration requires three antennas but only two transceiver chains, which can reduce the hardware complexity. We also introduce 3-element linear array and design a simple procedure to heuristically select the pattern. Our numerical results show that the proposed techniques can significantly increase the available bandwidth and networking connectivity with small complexity when a cognitive mesh network is located inside the communication area of the primary system.

A telemetric pressure sensor system for biomedical applications

A new implantable pressure sensor for long-term monitoring of intracranial pressure is presented. The sensor is powered by telemetry and can be interrogated wirelessly. A capacitive pressure transducer, whose capacitance is converted to a frequency-encoded signal by an application-specific integrated circuit (ASIC), senses the absolute pressure. The pressure-encoded signal, the ASIC input voltage, and onboard calibration parameters are transmitted to an external reading unit. The proposed novel packaging solution is designed for long-term stability and reliability of the sensor. The accuracy of sensor at body temperature is better than 2 mbar across a pressure range of 600-1200 mbar. The sensor is 13 mm in diameter and 4.5 mm in height.