Structural relationships between measures based on heart beat intervals: potential for improved risk assessment

Decreased left ventricular ejection fraction is the most commonly used risk factor for identification of patients at high-risk for lethal ventricular arrhythmic events. Twenty-four-hour electrocardiographic (ECG) approaches to risk stratification include: counts of ventricular premature contractions (VPCs), measures of heart rate variability (HRV), and heart rate turbulence (HRT) which has two components, turbulence onset and turbulence slope (TS). Refinement of these ECG risk stratifiers could enhance their clinical utility. We explored the structural relationships between heart rate (HR) and HRV and HRT measures. Our goal was to separate out the component of these measures due to the underlying average heart rate (HR), thus potentially reducing the variability of the measures and increasing their power to stratify risk. We proposed re-scaling tachograms of heart-beat intervals so that the re-scaled tachogram has a HR of 75 (or equivalently an average interval of 800 ms) and calculating HRV and HRT from the rescaled time series. We also explored the relationship between the number of VPCs and HRT. We showed that TS is structurally related to the number of VPCs (and hence to the length of the ECG recording). We proposed an adjusted TS that is independent of the number of VPCs. We also addressed the ability of shorter ECG recording to estimate HRV and HRT measures. We evaluated standard and rescaled HRV and HRT measures using qualifying ambulatory ECG recordings from 744 patients in the Cardiac Arrhythmia Suppression Trial. We found that measures based on the rescaled tachogram had reduced variance (20% to 40%). Correlations between measures were also substantially reduced. We also found substantial circadian effects on some, but not all HRV indices, not explained by the circadian pattern in HR and possibly pointing to additional measures for risk prediction. In conclusion, we found that adjusting for HR and the number of VPCs in heart-beat related ambulatory ECG measures has the potential to significantly improve the power of these measures to risk stratify cardiac patients.     

A comparison of noninvasive reconstruction of epicardial versus transmembrane potentials in consideration of the null space

We compare two source formulations for the electrocardiographic forward problem in consideration of their implications for regularizing the ill-posed inverse problem. The established epicardial potential source model is compared with a bidomain-theory-based transmembrane potential source formulation. The epicardial source approach is extended to the whole heart surface including the endocardial surfaces. We introduce the concept of the numerical null and signal space to draw attention to the problems associated with the nonuniqueness of the inverse solution and show that reconstruction of null-space components is an important issue for physiologically meaningful inverse solutions. Both formulations were tested with simulated data generated with an anisotropic heart model and with clinically measured data of two patients. A linear and a recently proposed quasi-linear inverse algorithm were applied for reconstructions of the epicardial and transmembrane potential, respectively. A direct comparison of both formulations was performed in terms of computed activation times. We found the transmembrane potential-based formulation is a more promising source formulation as stronger regularization by incorporation of biophysical a priori information is permitted.     

Modelling and prediction of phyto- and zooplankton dynamics in Lake Kasumigaura by artificial neural networks

An artificial neural network model was developed for Lake Kasumigaura to predict timing and magnitudes for chlorophyll a, five species of blue-green algae and three zooplankton groups. The model was trained by 8 years of limnological time series and validated by two independent years. The validation showed the potential of neural networks as predictive tools for highly non-linear phenomena such as blue-green algal blooms in freshwater lakes.     

Over 80 Gbit/s 2:1 multiplexer and low power selector ICs using InP/InGaAs DHBTs

A 2:1 multiplexer (MUX) and low power selector ICs have been successfully designed and manufactured using an InP/InGaAs DHBT technology. The 2:1 MUX has been tested at data rates up to 80 Gbit/s with an output swing of 600 mV, while the selector IC has achieved operation speed up to 90 Gbit/s at a power consumption of only 385 mW.     

Enhanced Optical Properties and Opaline Self‐Assembly of PPV Encapsulated in Mesoporous Silica Spheres

A new poly(p‐phenylenevinylene) (PPV) composite material has been developed by the incorporation of insoluble PPV polymer chains in the pores of monodisperse mesoporous silica spheres through an ion‐exchange and in situ polymerization method. The polymer distribution within the resultant colloidal particles is characterized by electron microscopy, energy dispersive X‐ray microanalysis, powder X‐ray diffraction, and nitrogen adsorption. It was found that the polymer was selectively incorporated into the mesopores of the silica host and was well distributed throughout the body of the particles. This confinement of the polymer influences the optical properties of the composite; these were examined by UV–vis and fluorescence spectroscopy and time‐correlated single‐photon counting. The results show a material that exhibits an extremely high fluorescence quantum yield (approaching 85%), and an improved resistance to oxidative photobleaching compared to PPV. These enhanced optical properties are further complemented by the overall processability of the colloidal material. In marked contrast to the insolubility of PPV, the material can be processed as a stable colloidal dispersion, and the individual composite spheres can be self‐assembled into opaline films using the vertical deposition method. The bandgap of the opal can be engineered to overlap with the emission band of the polymer, which has significant ramifications for lasing.     

Phthalocyanine‐Based 2D Conjugated Metal‐Organic Framework Nanosheets for High‐Performance Micro‐Supercapacitors

2D conjugated metal‐organic frameworks (2D c‐MOFs) are emerging as a novel class of conductive redox‐active materials for electrochemical energy storage. However, developing 2D c‐MOFs as flexible thin‐film electrodes have been largely limited, due to the lack of capability of solution‐processing and integration into nanodevices arising from the rigid powder samples by solvothermal synthesis. Here, the synthesis of phthalocyanine‐based 2D c‐MOF (Ni₂[CuPc(NH)₈]) nanosheets through ball milling mechanical exfoliation method are reported. The nanosheets feature with average lateral size of ≈160 nm and mean thickness of ≈7 nm (≈10 layers), and exhibit high crystallinity and chemical stability as well as a p‐type semiconducting behavior with mobility of ≈1.5 cm² V^?1 s^?1 at room temperature. Benefiting from the ultrathin feature, the nanosheets allow high utilization of active sites and facile solution‐processability. Thus, micro‐supercapacitor (MSC) devices are fabricated mixing Ni₂[CuPc(NH)₈] nanosheets with exfoliated graphene, which display outstanding cycling stability and a high areal capacitance up to 18.9 mF cm^?2; the performance surpasses most of the reported conducting polymers‐based and 2D materials‐based MSCs.     

Evaluation of rapeseed meals in broiler chicks: Effect of iodine supply and glucosinolate degradation by myrosinase or copper

In rapeseed meals (RSM) of a conventional (c) or a newly bred (n) variety 117 or 44 mmol glucosinolates and glucosinolate degradation products per kg dry matter were detected. Soaking meals in aqueous myrosinase or copper sulphate solution and subsequent drying reduced the content of antinutrients by more than 90%. Broiler chickens were fed (i) a glucosinolate-free diet, or this diet in which half the soybean meal was replaced by RSM of various origins and treatment; (ii) untreated cRSM; (iii) cRSM treated with myrosinase: (iv) cRSM treated with Cu (v) untreated nRSM; or (vi) nRSM treated with myrosinase. These diets were administered with or without supplementary iodine. Chickens receiving the iodine-deficient diets with myrosinase-treated RSM showed growth depression, incomplete feathering, leg injuries and severe goitre. In the serum T⁴ could not be detected. Giving myrosinase-treated RSM plus iodine, or giving other RSM diets irrespective of iodine administration, no growth depression was observed. RSM diets without iodine dosage markedly increased thyroid weight: there were no differences between the RSM variants. In contrast to the treatment with myrosinase, in the sera of the chickens fed on untreated RSM or RSM treated with copper T⁴ could be detected, suggesting that in iodine-deficient conditions differences in serum T⁴ concentration between RSM groups indicate a differing anti-thyroid activity. With iodine supplementation the RSM had a significant effect on thyroid weight. The largest thyroids (five-fold heavier) were in the animals with myrosinase-treated cRSM. The untreated cRSM and the nRSM trebled or doubled the thyroid weight, and the myrosinase-treated nRSM trebled it. The thyroid weight of chicks fed cRSM treated with copper did not differ significantly from the glucosinolate-free control. There was evidence that heating the myrosinase-treated RMS produced anti-thyroid compounds; these should be identified in further investigations.     

Analog VLSI Circuits for Competitive Learning Networks

An investigation is made concerning implementations of competitive learning algorithms in analog VLSI circuits and systems. Analog and low power digital circuits for competitive learning are currently important for their applications in computationally-efficient speech and image compression by vector quantization, as required for example in portable multi-media terminals. A summary of competitive learning models is presented to indicate the type of VLSI computations required, and the effects of weight quantization are discussed. Analog circuit representations of computational primitives for learning and evaluation of distortion metrics are discussed. The present state of VLSI implementations of hard and soft competitive learning algorithms are described, as well as those for topological feature maps. Tolerance of learning algorithms to observed analog circuit properties is reported. New results are also presented from simulations of frequency-sensitive and soft competitive learning concerning sensitivity of these algorithms to precision in VLSI learning computations. Applications of these learning algorithms to unsupervised feature extraction and to vector quantization of speech and images are also described.     

Performance of uprated substations in contaminated environments

Uprated substations have proven to be a viable economic alternative to rebuilding in order to increase power system capacity. The key economic factor in uprated designs is the use of lower than traditional insulation margins in high voltage substations. The experience of these uprated substations has been good and insulation design procedures for uprated substations have been developed to show other engineers how to take advantage of this design alternative. While these design procedures and other publications including the results of actual tests have given ample evidence of the success of the uprated designs, it has been noted that several areas need more study and testing. Among those areas which need further study are the effects of the dynamic forces caused by higher fault currents in the uprated substations and the ability of the reduced creepage distances of the uprated design to withstand pollution severity. This study covers the pollution severity issue by examining the results of flashover tests on the uprated substation insulators under various contamination conditions. The tests, which were done at the EPRI Power Deliver Center at Lenox, USA, are believed to be the only flashover tests ever conducted with uprated insulators. As might be expected, the uprated design is shown to be very sensitive to pollution severity. Sites chosen for uprating should include a pollution severity assessment as part of the design review     

A superconducting X-ray spectrometer with a tantalum absorber andlateral trapping

We report the development of Nb-Ta-Al-Al₂O₃-Al superconducting tunnel junction structures for high energy resolution and high efficiency X-ray detection. These devices utilize a Ta X-ray absorber with superconductor “bandgap engineered” quasiparticle trapping to improve charge collection. Experimental results at 0.3 K are presented, showing energy resolution of 102 eV full-width-half-maximum for 6 keV X-rays. Collected charge is in excess of 5×10⁶ electrons. The absorption efficiency is better than 35%. Devices thermally cycle with no change in characteristics