Hybridizing traditional and next-generation reservoir computing to accurately and efficiently forecast dynamical systems.

Reservoir computers (RCs) are powerful machine learning architectures for time series prediction. Recently, next generation reservoir computers (NGRCs) have been introduced, offering distinct advantages over RCs, such as reduced computational expense and lower training data requirements. However, NGRCs have their own practical difficulties, including sensitivity to sampling time and type of nonlinearities in the data. Here, we introduce a hybrid RC-NGRC approach for time series forecasting of dynamical systems. We show that our hybrid approach can produce accurate short-term predictions and capture the long-term statistics of chaotic dynamical systems in situations where the RC and NGRC components alone are insufficient, e.g., due to constraints from limited computational resources, sub-optimal hyperparameters, sparsely sampled training data, etc. Under these conditions, we show for multiple model chaotic systems that the hybrid RC-NGRC method with a small reservoir can achieve prediction performance approaching that of a traditional RC with a much larger reservoir, illustrating that the hybrid approach can offer significant gains in computational efficiency over traditional RCs while simultaneously addressing some of the limitations of NGRCs. Our results suggest that the hybrid RC-NGRC approach may be particularly beneficial in cases when computational efficiency is a high priority and an NGRC alone is not adequate.

Fabrication of Mesoporous Materials Based on Supramolecular Self-Assembly of Guanosine Monophosphonate-Nickel Chloride (GMP-Ni) for High-Performance Hybrid Supercapacitors.

Supramolecular self-assembly of nickel chloride and guanosine mono-phosphonate (GMP) and nickel (Ni)-based GMP-Ni and their calcinated mesoporous electrode materials GMP-Ni-500 and GMP-Ni-700 at 500 and 700 °C, respectively, have been fabricated. GMP-Ni, GMP-Ni-500, and GMP-Ni-700 are examined for their supercapacitor performance in a three-electrode configuration. The electrochemical tests demonstrate the mesoporous battery-type nature of GMP-Ni-500 which exhibited a specific capacity (Cs) of about 289 C g-1 at 0.5 A g-1 current density. In addition, a cost-effective and simple asymmetric supercapacitor device has been fabricated with battery-type GMP-Ni-500 as a cathode material and capacitive-type activated carbon (AC) as an anodic material. In an operating voltage window of 0 to 1.5 V, hybrid supercapacitors (HSCs) based on GMP-Ni-500//AC exhibited a remarkable performance with a specific capacity (Cs) of 144 C g-1 at 0.5 A g-1. For the HSC device, the maximum of 66% capacity retention has been observed after 5000 charging/discharging cycles at 5 A g-1. Furthermore, the HSC device demonstrates a high energy density of 24 W h kg-1 at a power density of 297 W kg-1. The molecular transformation was established by employing theoretical calculations. These results suggest that our HSC has outstanding potential in technology development for next-generation commercial applications.

Donor-acceptor molecular architecture involving carbazole/pyrazine/anthraquinone units for efficient supercapacitor applications.

A donor-acceptor composed of two 3,6-di-tert-butyl-9H-carbazoles (DTCs) and fused pyrazine (Pyz; 1)-anthraquinone (AQ; 1) was successfully synthesized. The as-fabricated DTCz-Pyz-AQ/graphite foil (GF) electrode in supercapacitor (SC) applications exhibited excellent specific capacitance (Csp) of about 304. 37 F g-1 and 106.0 F g-1 at 0.5 A g-1 current density in three electrode and symmetric two electrode configurations of SC cells, respectively, accompanied by good cycling stability. The highest energy density of the SSC cell was found to be 15.94 W h kg-1 at 899.71 W kg-1 power density. As a proof of concept DTCz-Pyz-AQ/GF (D-A/GF) has great potential in energy storage (ES) applications.

Screening tuberculosis patients for diabetes in a tribal area in South India.

SETTING: Ten peripheral health institutions of a tribal tuberculosis unit, Saluru, Vizianagaram District, South India. OBJECTIVE: To assess among tuberculosis (TB) patients: 1) the feasibility of screening for diabetes mellitus (DM), 2) the prevalence of DM, 3) the demographic and clinical features associated with DM, and 4) the number needed to screen (NNS) to find one new case of DM. DESIGN: Cross-sectional study: all TB patients registered from January to September 2012 were screened for DM using a screening questionnaire and random blood glucose, followed by fasting blood glucose (FBG) measurements using a glucometer. DM was diagnosed if FBG was ≥126 mg/dl. RESULTS: Of 381 patients, 374 (98%) were assessed for DM, suggesting feasibility of screening, and 19 (5%) were found to have DM (12 were newly diagnosed and 7 had a previous diagnosis of DM). The only characteristic associated with DM was age ≥40 years. The NNS to detect a new case of DM among all TB patients was 31; among those aged ≥40 years, the NNS was 20, and among current smokers it was 21. CONCLUSION: Screening of TB patients for DM was feasible and effective, and this should inform national scale-up. Other key considerations include the continued provision of free TB-DM screening, with co-location and integration of services.

Biosensing and drug delivery by polypyrrole.

Conducting polypyrrole is a biological compatible polymer matrix wherein number of drugs and enzymes can be incorporated by way of doping. The polypyrrole, which is obtained as freestanding film by electrochemical polymerization, has gained tremendous recognition as sophisticated electronic measuring device in the field of sensors and drug delivery. In drug delivery the reversing of the potential 100% of the drug can be released and is highly efficient as a biosensor in presence of an enzyme. In this review we discuss the applications of conducting polypyrrole as biosensor for some biomolecules and drug delivery systems.