batterydata/paper-abstracts huggingface dataset:
Little is known about health-related quality of life (HRQoL) in pediatric patients with cardiac rhythm devices. This study aims to compare self- and proxy-reported HRQoL in patients with pacemaker (PM) and implantable cardioverter-defibrillator (ICD) to that in sex- and age-matched healthy controls and to examine predictors for generic and disease-specific HRQoL.
Rechargeable wireless sensor networks mitigate the life span and cost constraints propound in conventional battery operated networks. Reliable knowledge of solar radiation is essential for informed design, deployment planning and optimal management of self-powered nodes. The problem of solar irradiance forecasting can be well addressed by machine learning methodologies over historical data set. In proposed work, forecasts have been done using FoBa, leapForward, spikeslab, Cubist and bagEarthGCV models. To validate the effectiveness of these methodologies, a series of experimental evaluations have been presented in terms of forecast accuracy, correlation coefficient and root mean square error (RMSE). The r interface has been used as simulation platform for these evaluations. The dataset from national renewable energy laboratory (NREL) has been used for experiments. The experimental results exhibits that from few hours to two days ahead solar irradiance prediction is precisely estimated by machine learning based models irrespective of seasonal variation in weather conditions.
The active development and application of renewable energy, such as wind power and solar power, has become an inevitable tendency, which will promote the increase of the proportion of renewable energy generation accordingly in regional power grids. The intermission and randomness of renewable energy generation lead to enormous challenges in the operation and planning of power systems. One of the current methods to accommodate and reduce renewable energy fluctuation is conventional storage devices, e.g. battery energy storage devices, but this approach has the limitation of a high operating cost, which hinders the technology from popularizing. We present a novel load control algorithm employing the technology of residential thermostatically controlled appliances to maximize renewable energy usage in regional power grids. The thermal dynamics of the thermostatically controlled loads are modeled as a simplified first-order equivalent thermal parameter model. The new load control algorithm, based on the state-queueing model with modified colored power algorithm, is developed to manage activities of residential thermostatically controlled appliances, which allows customers to set different colors as the response levels of their appliances. Such an algorithm can ensure both the comfort level and the fairness of customers. Both a practical case and a real case are applied to demonstrate the effectiveness and practicability of the proposed algorithm.
Research suggests that there are cognitive inefficiencies underlying Anorexia Nervosa (AN), with CRT showing promise in improving these inefficiencies in adults. This area has yet to be explored in a younger population. The aim of this study was to evaluate the use of CRT for young people.
The cargo transport represents the largest share of logistics costs in most companies. Consequently, companies are investing in tracking and tracing systems aiming to improve services, reduce costs and ensure the safety in cargo transportation. To play a part in this area, we propose in this article SafeTrack, a model for logistics management based on geofencing algorithms and radio-frequency technology. In this approach, the focus is on dealing with delivery management. The main scientific contribution of SafeTrack is automatic delivery management. Besides dealing with deliveries without user interaction, we provide a mechanism to detect inconsistencies at real-time. Furthermore, the model monitors detours in planned routes and deals with alarms notifications using mobile devices. To provide that features, we employed Geofence concept with two solutions that enable to detect, in real-time, the occurrence of detours in planned routes. We also created a component, named SafeDuino, to control loads delivery and pickups. The decision on the occurrence of inconsistencies during the logistics flow is performed through the fusion of context information, obtained from SafeDuino and a mobile device, using radio-frequency technology. We built a complete and functional prototype, which was evaluated in a controlled environment, testing several conditions. The test scenario was executed twenty times, showing that the proposed model is capable to identify all inconsistencies along the travels. We concluded that SafeTrack improves logistics operation, optimizing decision-making, avoiding losses during the logistics flow, and also allowing companies to remain competitive in the market.
The delayed deployment of low-carbon energy technologies is impeding energy system decarbonization. The continuing debate about the cost-competitiveness of low-carbon technologies has led to a strategy of waiting for a ‘unicorn technology’ to appear. Here, we show that myopic strategies that rely on the eventual manifestation of a unicorn technology result in either an oversized and underutilized power system when decarbonization objectives are achieved, or one that is far from being decarbonized, even if the unicorn technology becomes available. Under perfect foresight, disruptive technology innovation can reduce total system cost by 13%. However, a strategy of waiting for a unicorn technology that never appears could result in 61% higher cumulative total system cost by mid-century compared to deploying currently available low-carbon technologies early on.
The theory of allostatic load [McEwen, B.S., Stellar, E., 1993. Stress and the individual: mechanisms leading to disease. Arch. Intern. Med. 153, 2093–2101] describes how the cumulative experience of emotional challenges and stressful events over the life course may take a significant physiological toll on multiple interrelated systems of the body. Various summary measures of these effects have been proposed in the literature, but few studies focus on systematically evaluating them. We use data from a population-based sample of older Taiwanese to compare the explanatory power and cross-sectional predictive performance of several measures of allostatic load for diverse health outcomes. We find that choices regarding which biomarkers to include in a summary measure and how the measure is formed have modest effects across the basic prediction models we evaluate. Our findings suggest that count-based summary measures incorporating risk at both high and low tails and measures that preserve the continuous properties of the biological variables are strategies that may yield stronger predictions of a wider array of health outcomes than other measures. These fundamental insights are useful for researchers in search of empirical formulations of allostatic load and for those who are focused on the development of improved measurement strategies.
A randomized, open label with blind assessment, controlled trial was performed to assess efficacy and adverse-event profile of vitamin E, given as supplementation for prophylaxis against cisplatin-induced peripheral neuropathy (CIPN).
Hydroxyethyl cellulose (HEC) has been investigated as corrosion inhibitor for zinc–carbon battery by polarization and electrochemical impedance spectroscopy (EIS) measurements. The obtained results show that the maximum inhibition efficiency by HEC in 26% NH4Cl solution at 300 ppm and 298 K is 92.07%. Tafel polarization studies reveal that HEC acts as an efficient mixed inhibitor. The corrosion rate is suppressed by the adsorption of HEC on the zinc surface. HEC adsorption obeys the Langmuir isotherm and the thermodynamic parameters K ads and Δ G ads o have been also calculated and discussed. Both physisorption and chemisorption may occur on the zinc surface. Surface characterization investigation using Fourier transform infrared (FTIR) spectroscopy and scanning electron microscopy (SEM) is used to ascertain the nature of the protective film.
The thermal stability of a charged graphite electrode was studied quantitatively by differential scanning calorimetry (DSC). Charged electrode powder gave exothermic peaks at around 285°C, and their heat values were proportional to the amount of charged electrode powder sealed in hermetic pans. These results suggest that a solid electrolyte interphase (SEI) that is formed on graphite during charging would react exothermally with charged graphite at around 285°C. Mass spectrometry coupled with thermogravimetric analysis and differential thermal analysis (TG-DTA/MS) of the charged electrode powder indicated that the exothermic reactions at around 285°C should be accompanied by the generation of methane. When charged electrode powders coexisted with electrolyte solution in a hermetic pan, the heat values at around 285°C varied in an apparently complicated way depending on the ratio of charged electrode powder to an electrolyte. These phenomena are discussed quantitatively by considering the amount of lithium-ions in charged graphite powder and a coexisting electrolyte. These results suggest that the exothermic reactions at around 285°C can be attributed to the reductive decomposition of SEI by charged graphite.
Driving cycles of a city bus is statistically characterized by some repetitive features, which makes the predictive energy management strategy very desirable to obtain approximate optimal fuel economy of a plug-in hybrid electric bus. But dealing with the complicated traffic conditions and finding an approximated global optimal strategy which is applicable to the plug-in hybrid electric bus still remains a challenging technique. To solve this problem, a novel driving-behavior-aware modified stochastic model predictive control method is proposed for the plug-in hybrid electric bus. Firstly, the K-means is employed to classify driving behaviors, and the driver models based on Markov chains is obtained under different kinds of driving behaviors. While the obtained driver behaviors are regarded as stochastic disturbance inputs, the local minimum fuel consumption might be obtained with a traditional stochastic model predictive control at each step, taking tracking the reference battery state of charge trajectory into consideration in the finite predictive horizons. However, this technique is still accompanied by some working points with reduced/worsened fuel economy. Thus, the stochastic model predictive control is modified with the equivalent consumption minimization strategy to eliminate these undesirable working points. The results in real-world city bus routines show that the proposed energy management strategy could greatly improve the fuel economy of a plug-in hybrid electric bus in whole driving cycles, compared with the popular charge depleting–charge sustaining strategy and it may offer some useful insights for realizing the approximate global optimal energy management for the plug-in hybrid electric vehicles.
Focused laser beam induced self-propagating reaction has been developed for fabrication of graphene rapidly and efficiently through simultaneous reduction and exfoliation of graphite oxide (GO) process. This chemical-free approach can realize the reduction and exfoliation at room temperature without assistance of any high temperature/vacuum environment. We found that the small sized spot can trigger an ultrafast and highly thermal transferred process by self-propagating reaction at ambient conditions. Benefiting from its high surface area and unique structure, the laser induced self-propagating reaction reduced graphene (LIG) shows excellent capacitive performance. Considering that the cost-effective and feasible process, this facile technique presented here will not only provide a promising method for production of graphene on an industrial scale, but also put forward the application graphene materials in energy storage and conversion.
Cellulose paper-based energy storage devices have spurred significantly intrinsic advantages compared with the traditional batteries due to environmental benignity, recyclability and easy processing. In this work, the binary functional materials, which contains linear N-doped carbon nanotube (N-CNT, one-dimensional) and spherical C-coated MoS2 (MoS2@C, zero-dimensional), are embedded into the porous recycled paper (RP, two-dimensional) derived from wastepaper via a facile and low-cost vacuum filtration method, and then the N-CNT/MoS2@C/RP film (N-M-RP film) featuring a unique compacted “point-line-plane” structure is obtained. In favor of the synergistic effect of high-conductive N-CNT, high-capacity MoS2@C and porous RP network, the prepared freestanding N-M-RP film presents a high strength of 35.2 MPa and a comparably low sheet resistance of 127.39 Ω sq−1, and as an anode material for LIBs, the N-M-R film delivers a high reversible capacity, good cycling performance, superior rate capability and excellent electrochemical kinetics. Besides, the synergistic effect of “point-line-plane” structure on the improved electrochemical performances is also investigated. All the results indicate that the N-M-RP film comprised of 0D-1D-2D materials could be a potential candidate as a freestanding anode for LIBs.
An advanced tin oxide-coated tin in graphite (Sn@SnO x /C) nanocomposite is synthesized with a one-step method of dielectric barrier discharge oxygen plasma-assisted milling (O2-P-milling). Synergetic effects of rapid plasma heating and impact stress act on the tin/graphite powder during O2-P-milling, and SnO x (1≤ x ≤2) is generated in situ on the Sn surface from the reaction between Sn and oxygen. The resulting composite possesses a unique microstructure, where Sn nanoparticles coated by an ultrathin amorphous/nanocrystalline SnO x layer are homogeneously embedded within a graphite matrix. As lithium ion anodes, the Sn@SnO x /C nanocomposites display superior electrochemical performance to Sn–C and Sn–SnO2–C nanocomposites milled under argon plasma. The SnO x /C nanocomposite obtained after O2-P-milling for 25h that contains a high content of amorphous/nanocrystalline SnO x exhibits a high capacity retention of 500mAhg−1 at 250mAg−1 after 70 cycles, indicating that O2-P-milling is a promising method to prepare Sn-based multiphase nanocomposite anode materials.
Background The lipoprotein-associated phospholipase A2 inhibitor (Lp-PLA2), rilapladib (SB659032), is being evaluated as a potential treatment to slow the progression of Alzheimer's disease (AD). Methods One hundred twenty-four subjects with possible mild AD and with neuroimaging evidence of cerebrovascular disease were randomized to placebo or 250-mg rilapladib once daily, for 24 weeks, in addition to stable background acetylcholinesterase inhibitor and/or memantine. The study assessed the safety and tolerability of rilapladib and its effects on cognition, mechanistic, and disease-related biomarkers. Although the overall intent behind the study was to take a broad exploratory view of the data, two primary end points of interest (cerebrospinal fluid [CSF] amyloid beta peptide 1–42 [Aβ1–42] and CogState executive function/working memory [EF/WM] composite score at week 24) were prespecified in the analysis plan for inferential statistical analysis. Results Rilapladib was well tolerated with no significant safety concerns. A significant difference from placebo was observed for rilapladib on change from baseline in EF/WM (effect size, 0.45; P = .026). There was no significant difference between groups on the change from baseline in CSF Aβ1–42 (P = .133). Preliminary evidence of effects was detected on other mechanistic (albumin quotient) and disease-related biomarkers (tau/P-tau and neurofilament light chain). Conclusion These data provide initial evidence supporting Lp-PLA2 inhibition as a novel treatment for dementia. Clinical Trial Registration Clinicaltrials.gov identifier: NCT01428453.
The electrochemical behavior of graphite anode for potassium-ion batteries (KIBs) is investigated in detail over varying operating temperatures (0–40 °C) with comparisons made to lithium-ion batteries (LIBs). Three main categories of cell performance are analyzed and evaluated, namely, kinetics, aging, and polarization. At 10 °C and below, the KIBs exhibit poor rate capability, which can be attributed to the decreased solid-state diffusion coefficient, and the amplified charge-transfer and SEI resistances. In comparison to LIBs, KIBs exhibit rapid cell aging at elevated temperatures, owing to augmented SEI growth induced by the significant volumetric change of graphite during potassiation. 3-electrode cell studies reveal the dramatic polarization of K metal at 0 °C (161 mV), while the extreme reactivity of K metal causes a severe rise in impedance from cell storage at 50 °C. A full cell system comprising Prussian blue cathode and graphite anode is evaluated, which removes the issues associated with the K metal counter electrode and enhances rate performance at 0 °C. These findings provide a thorough basis for understanding the temperature dependent behavior of graphite anode for KIBs and its performance concerns at low and elevated temperatures.
As the continuance of our series study on LiCoO2 surface modification, the complicated traditional surface coating method is replaced with simple addition of amorphous YPO4 and Al2O3 in commercial LiCoO2 or in commercial electrolyte based on our understanding to the improvement mechanism of surface modification. Comprehensive studies by X-ray photoelectron spectroscopy (XPS), gas chromatography and mass spectroscopy (GC–MS), inductively coupled plasma (ICP) and Fourier transformed infrared (FTIR) indicate that the products of spontaneous reaction between the additive and the LiPF6 based electrolyte are responsible for the performance improvements.
Micro-solid oxide fuel cells (μ-SOFC) are promising power sources for portable electronic devices. This review presents the current status of development of microfabricated micro-solid oxide fuel cell membranes for power delivery. The μ-SOFC membranes are developed using micro-electro-mechanical system (MEMS) fabrication and machining techniques. The different designs of free-standing μ-SOFC membranes and μ-SOFCs deposited on porous substrates are presented. The materials used in the μ-SOFC anode, electrolyte and cathode are discussed and compared along with their microstructures. The electrical performance data of the different μ-SOFC designs are compared and discussed. High μ-SOFC performances of 677mWcm−2 were demonstrated at temperatures as low as 400°C.
Global Positioning System (GPS) is widely used for the Location-Based Service (LBS) of smartphones. However, GPS dramatically increases the power consumption of a smartphone due to heavy computation overhead. Cell-tower Based Localization (CBL) can be an alternative solution to perform LBS in an energy-efficient way; but its adoption is limited due to the low positioning accuracy. This paper presents a new location estimation scheme for smartphones called Adaptive Location Detection (ALD). ALD adaptively detects the location of a smartphone considering the category of applications executed, movement pattern of a user, and the battery level. Specifically, ALD categorizes applications according to the required level of positioning accuracy, and then adaptively utilizes GPS and CBL. ALD also takes different actions according to the movement pattern of a user and the remaining battery level of the smartphone. To assess the effectiveness of the proposed scheme, we perform simulations under five location based applications and six scenarios. The evaluation results show that ALD reduces the energy consumption of GPS by 49.5% on average. Nevertheless, it satisfies the accuracy requirement of each situation.
Self-supported supercapacitor electrodes with remarkably high specific capacitance have been developed by homogeneously coating polypyrrole (PPy) on multi-walled carbon nanotube (MWCNT) membranes. Polypyrrole can be deposited around the individual MWCNTs in a uniform manner throughout the MWCNT membrane via a pulsed electrochemical deposition method. This approach optimizes the pseudocapacitance of the membrane. Electrochemical data and Raman spectra indicate that the high specific capacitance is not only due to more uniform PPy coating, but also higher redox activity that is likely associated with a more ordered PPy packing. Such composite membranes can be directly used as supercapacitor electrodes without backing metal films or binders. A remarkable specific capacitance of 427Fg−1 has been achieved using 5-s electrodeposition pulses. This technique provides a viable solution for developing high-performance electrical energy storage devices.
V-substituted LiFePO4 (LiFe1−x V x PO4, 0 ≤ x ≤ 0.10) powders are prepared via a solution method. The compositions, crystalline structure, morphology of the prepared powders are systemically investigated with inductive couple plasma-option emission spectrometry (ICP-OES), synchrotron radiation X-ray diffraction (s-XRD), X-ray Absorption Spectroscopy (XAS) and field emission-transmission electron microscopy (FE-TEM). Results of s-XRD and Rietveld analysis reveal that olivine phase is observed exclusively for LiFe1−x V x PO4 (x ≤ 0.05) samples, whereas a minor amount of monoclinic Li3V2(PO4)3 is detected in the prepared LiFe0.93V0.07PO4 and LiFe0.90V0.10PO4 samples. It is also found that the lattice parameters of olivine structure and average Li–O and M–O (M = Fe or V) bond lengths slightly increase and decrease with the amount of V substitution, recommending an enhanced lithium diffusivity in the structure. Results of XAS study suggest that V ions occupy octahedral sites (4c) of Fe in LiFePO4 structure with valence of 3+, showing good agreement with shortened M–O bonds determined in Rietveld analysis. As a result of V substitution, LiFe1−x V x PO4, (0 ≤ x ≤ 0.10) cathodes exhibit better electrochemical performance, such as discharge capacity, rate capability, and cycling performance at both room and elevated temperatures.
Directly pyrolyzing biowastes has attracted intensive interest, probably because this economical and facile method provides an efficient and versatile platform for synthesizing functional carbons. This study describes the synthesis of different functional carbons from poplar catkins via different processes for multi-purpose applications. Nitrogen and oxygen dual-doped carbon (NODC-800) derived from catkins delivers superior electrochemical characteristics as oxygen reduction reaction (ORR) catalyst in alkaline fuel cell to that of commercial Pt/C in terms of catalytic activity, stability, resistance to methanol cross-over and CO poisoning. In addition, NODC-800 exhibits a high capacity (~251Fg−1 at 0.5Ag−1) with nearly 100% retention rate after 1000 cycles as supercapacitors electrodes. An oleophylic carbon aerogel derived from catkins is proven to be superoleophilic and porous enough to “wet” with oils and organic liquids and repel water completely to achieve oil/water separation. This work is a successful case to take full advantage of raw materials from nature via multiple technologies to achieve energy sustainable development and protect environmental from oils and organic solvents spill.