batterydata/paper-abstracts huggingface dataset:
This paper presents results obtained with 4cm2 Carbon/Carbon supercapacitors cells in organic electrolyte. In the first approach, a surface treatment for Al current collector foil via the sol–gel route has been used in order to decrease the Al/active material interface resistance. Performances obtained with this original process are: a low equivalent series resistance (ESR) of 0.5Ωcm2 and a specific capacitance of 95Fg−1 of activated carbon. Then, supercapacitors assembled with treated Al foil and active material containing activated carbon/carbon nanotubes (CNTs) with different compositions have been studied. Galvanostatic cycling measurements show that when CNTs content increases, both ESR and specific capacitance are decreased. Fifteen percent appears to be a good compromise between stored energy and delivered power with an ESR of 0.4Ωcm2 and a specific capacitance of 93Fg−1 of carbonaceous active material. Finally, cells frequency behaviour has been characterized by Electrochemical Impedance Spectroscopy. The relaxation time constant of cells decreases when the CNTs content increases. For 15% of CNTs, the time constant is about 30% lower as compared to a cell using pure activated carbon-based electrodes leading to a higher delivered power.
Correct interpretation of functional data obtained from various cell types of the cochlear nucleus (CN), a structure involved in auditory information processing, necessitates reliable cell identification. Our aim was to perform a quantitative morphological characterization of giant and pyramidal cells of the rat CN and identify parameters that are suitable for their adequate classification. Neurons were labeled with biocytin, visualized with a fluorescent marker, and three-dimensionally reconstructed from confocal images. The size and shape of the soma and dendritic tree of each neuron were characterized by 17 morphometric parameters. The variables were subjected to multivariate statistical analysis to determine their importance while discriminating between giant and pyramidal cells. Our results provide a new battery of morphometric data, which could not be obtained earlier, improve the chances of correct cell identification, make modeling experiments easier and more reliable, and help us to understand both the functions of individual CN neurons and the network properties of this nucleus. In addition, we demonstrate that even partial labeling and/or incomplete reconstruction of neurons may be enough for their correct identification if selected parameters describing the cell bodies and the proximal portions of the dendritic trees are utilized. We propose that our findings have specific relevance to studies which attempt cell identification after functional experiments resulting in incomplete labeling of the investigated neurons.
The aim of the present study was to investigate idiom comprehension in school-age Italian children with different reading comprehension skills. According to our hypothesis, the level of a child's text comprehension skills should predict his/her ability to understand idiomatic meanings. Idiom comprehension in fact requires children to go beyond a simple word-by-word comprehension strategy and to integrate figurative meaning into contextual information. In a preliminary phase, we used a standardized battery of tests (Cornoldi & Colpo, 1998) to assess the ability of second graders and fourth graders to comprehend written texts. Three groups were identified at each age level: good, medium, and poor comprehenders. Children were then presented with familiar idiomatic expressions which also have a literal meaning (e.g., “break the ice”). Idioms were embedded in short stories: in Experiment 1 only the idiomatic interpretation was contextually appropriate, in Experiment 2 a literal reading of the string was also plausible in the context. A multiple-choice task was used in both experiments: children were asked to choose one answer among three corresponding to: (a) the idiomatic meaning; (b) the literal meaning; and (c) an interpretation contextually appropriate but not connected with the idiomatic or literal meaning of the idiom string. The results of both experiments showed that the ability to understand a text indeed predicted children's understanding of idioms in context. To verify whether possible improvements in children's comprehension skills might produce an increase in figurative language understanding, Experiment 3 was carried out. A group of poor comprehenders who participated in Experiments 1 and 2 was tested eight months later. The results of Experiment 3 showed that children whose general comprehension skills improved their performance on an idiom comprehension test.
Nitrogen-doped graphene hollow microspheres (NGHSs), synthesized through a template sacrificing method, have been employed as the anode material for lithium ion batteries (LIBs). The electrochemical results show that the NGHSs can exhibit an initial discharge capacity of 2716.4mAhg−1, which is significantly higher than the theoretical discharge capacity of graphite (372.0mAhg−1). Further analysis shows that the NGHSs can exhibit significantly high rate capacity, good reversibility, and excellent cycling stability, which clearly demonstrate the potential uses of the NGHSs as the anode material to boost both energy and power densities of LIBs. Their excellent electrochemical performance could be attributed to their specific microspherical hollow structure which consists of nitrogen-doped graphene. The nitrogen doping can greatly increase the reactivity and electrical conductivity of graphene-based carbonaceous materials and create more sites that are active for the Li+ ion adsorption, while the hollow microspherical structure allows a ready access of the electrolyte to the electrode surface, easier electron and ion transfer, and faster diffusion of electrolytes in and out of the electrode. In addition, the nitrogen-doped graphene and the specific hollow microspherical structure also make the NGHSs highly stable and can buffer against the local volume change during the Li+ detercalation and intercalation processes, which give the corresponding LIBs with better cycling stability.
Reducing the overall vehicle weight is an efficient, system-level approach to increase the drive range of electric vehicle, for which structural parts in auto-frame may be replaced by battery modules. Such battery modules must be structurally functional, e.g., energy absorbing, while the battery cells are not necessarily loading–carrying. We designed and tested a butterfly-shaped battery module of prismatic cells, which could self-unfold when subjected to a compressive loading. Angle guides and frictionless joints were employed to facilitate the large deformation. Desired resistance to external loading was offered by additional energy absorption elements. The battery-module behavior and the battery-cell performance were controlled separately. Numerical simulation verified the experimental results.
Lithium plating is a typical aging mechanism of lithium-ion (Li-ion) batteries at low temperatures and high charge rates. Therefore an instant detection method is needed for safe battery operation and to increase the life time. Detection of lithium plating during operation is only possible by nondestructive analysis of short-term plating effects. In this study, we present a new approach to detect, characterize, and quantify lithium plating in a commercial graphite/LiFePO4 battery. This is crucial for battery management systems (BMS) in real-world applications. The method is based on a high voltage plateau in the discharge profile after charging at plating conditions. This voltage plateau corresponds to the stripping of plated lithium from the graphite surface. It is shown that differential analysis of such voltage profiles provides a quantitative estimation of lithium plating. The correlation between lithium plating and stripping necessitates a distinction of reversible and irreversible plating. Effects of various operating conditions, i.e. charge temperature, state-of-charge (SOC), and charge current, on the plating behavior are investigated in order to elucidate this degradation mode. Furthermore, the presented approach allows for determination of the reversibility of lithium plating.
In this article, a methodology based on the analysis of granted patents useful to investigate strategies of technological innovation implemented by innovative firms is presented. This methodology adopts a conceptualization which considers technological innovation as an outcome of a change of either the technological components or a diverse combination of the components themselves. The methodology is applied to analyze the characters of the strategies of technological innovation pursued by 12 European firms in the human prosthesis industry. Undoubtly, the complexity of this industry offers interesting hints to study the implementation of technology strategies adopting the search concept. Furthermore, there is a lack of empirical studies that considered this industry. Even though the methodology and the study presented have still an explorative nature, the results of the empirical analysis suggest several reasons to carry on a further investigation for a deeper comprehension of the innovation process in high-tech industries.
Solid state polymer electrolyte is a promising candidate for the next generation of all-solid-state lithium ion batteries due to its advantages of light weight, high stability to electrodes, non-flammable, sufficient mechanical strength to prevent lithium dendrite growth, and low cost. Here, through a facile and cost-effective route, two dimensional boron nitride (BN) is applied as an efficient additive in a polymer/salt hybrid electrolyte, which brings about high ionic conductivity, improved mechanical strength and intimate interfacial contact between the electrolyte and electrodes. A 1% BN addition into polymer/salt hybrid electrolyte membrane exhibits a high conductivity of 1.82 × 10−3 S/cm at room temperature. Indentation test shows the BN modified hybrid electrolyte possesses an enhanced hardness (4.99 MPa) and Young's modulus (0.133 GPa). The 1% BN modified hybrid electrolyte is demonstrated to effectively suppress the lithium dendrite growth during repeated striping and plating of lithium. As a result, the battery of lithium metal anode paired with LiFePO4 cathode and using the as-fabricated 1% BN enhanced polymer/salt hybrid electrolyte exhibits improved cycling performance with high Coulombic efficiency (over 98%).
The effects of different cell positive cans and separators on first-cycle Coulombic efficiency and long-term cycling stability of a high-voltage spinel cathode are investigated systematically. Compared to stainless steel (SS) positive cans, aluminum (Al)-clad SS-316 positive cans are much more resistant to oxidation at high voltages; therefore, the initial Coulombic efficiency of the batteries with Al-clad can is improved by more than 13%. Among the five separators studied in this work, the polyethylene (PE) separator exhibits the best electrochemical stability. The cells using LiCr0.05Ni0.45Mn1.5O4 as the cathode, an Al-clad positive can, and a PE separator exhibits a first-cycle Coulombic efficiency of about 90% and a capacity fading of only 0.01% per cycle.
In the past few years, thermally regenerative ammonia battery (TRAB) has been proposed as an effective tool to recover waste heat at temperatures below 130 °C. Most of the literature available is devoted to the power production step, with less attention being given to the regeneration step (e.g. the removal of ammonia from the anolyte). In this paper, the TRAB is analyzed with particular attention to the regeneration step and to the study of various generation of energy-regeneration cycles. It was shown that approximately 90 °C is necessary for the regeneration step due to the fact that ammonia is present in the anolyte mainly as a complex. Various cycles were performed with success, demonstrating the efficacy of the proposed regeneration step.
To overcome the range anxiety, one of the important strategies is to accurately predict the range or dischargeable time of the battery system. To accurately predict the remaining dischargeable time (RDT) of a battery, a RDT prediction framework based on accurate battery modeling and state estimation is presented in this paper. Firstly, a simplified linearized equivalent-circuit-model is developed to simulate the dynamic characteristics of a battery. Then, an online recursive least-square-algorithm method and unscented-Kalman-filter are employed to estimate the system matrices and SOC at every prediction point. Besides, a discrete wavelet transform technique is employed to capture the statistical information of past dynamics of input currents, which are utilized to predict the future battery currents. Finally, the RDT can be predicted based on the battery model, SOC estimation results and predicted future battery currents. The performance of the proposed methodology has been verified by a lithium-ion battery cell. Experimental results indicate that the proposed method can provide an accurate SOC and parameter estimation and the predicted RDT can solve the range anxiety issues.
Consumption of telemetered fishes by piscivores is problematic for telemetry studies because tag detections from the piscivore could introduce bias into the analysis of telemetry data. We illustrate the use of multivariate mixture models to estimate group membership (smolt or predator) of telemetered juvenile Chinook salmon (Oncorhynchus tshawytscha), juvenile steelhead trout (O. mykiss), striped bass (Morone saxatilis), smallmouth bass (Micropterus dolomieu) and spotted bass (M. punctulatus) in the Sacramento River, CA, USA. First, we estimated two types of track statistics from spatially explicit two-dimensional movement tracks of telemetered fishes: the Lévy exponent (b) and tortuosity (τ). Second, we hypothesized that the distribution of each track statistic would differ between predators and smolts. To estimate the distribution of track statistics for putative predators and smolts, we fitted a bivariate normal mixture model to the mixed distribution of track statistics. Lastly, we classified each track as a smolt or predator using parameter estimates from the mixture model to estimate the probability that each track was that of a predator or smolt.
In this study, a Si–graphene composite, which is composed of nano Si particles and nano-sized multi-layer graphene particles, and micro-sized multi-layer graphene plate conductor, was used as the anode for Li-ion battery. The Si–graphene electrode showed the high capacity and stable cyclability at charge/discharge rate of C/2 in half cell tests. Nickel cobalt aluminum material (NCA) was used as a cathode in the full cell to evaluate the practicality of the new Si–graphene material. Although the Si–graphene anode has more capacity than the NCA cathode in this designed full cell, the Si–graphene anode had a greater effect on the full-cell performance due to its large initial irreversible capacity loss and continuous SEI formation during cycling. When fluoro-ethylene carbonate was added to the electrolyte, the cyclability of the full cell was much improved due to less SEI formation, which was confirmed by the decreases in the 1st irreversible capacity loss, overpotential for the 1st lithiation, and the resistance of the SEI.
In this work, hierarchical-structured copper sulfide/multi-walled carbon nanotubes (CuS/MWCNTs) are synthesized via a one-step hydrothermal process. The chemical composition and microstructure of CuS-MWCNTs are characterized by X-ray diffraction, Raman spectroscopy, scanning electron microscopy, transmission electron microscopy and research as electrode matericals for high-performance supercapacitors by cyclic voltammogram, galvanostatic charge-discharge and electrochemical impedance spectroscopy. As expected, the CuS-MWCNTs exhibit a much higher specific capacitance up to 2831Fg−1, compared with 925.1Fg−1 for CuS and 555.6Fg−1 for MWCNTs. Furthermore, the CuS-MWCNTs hybrids also exhibit good cycling stability with more than 90% capacitance retention over 600 cycles. The enhancement of CuS/MWCNTs in supercapacitor performance not only attribute to their unique 3D structures with large specific surface area, but also their excellent conductivity, which facilitate efficient charge transport and promotes electrolyte diffusion.
Combining high specific surface area (SSA) and superior electrical conductivity together at bulk state is very important for carbon materials in capacitive energy storage applications. Herein, by applying molten sodium metal to activate natural cotton at a relatively low processing temperature (800°C), we have obtained hierarchically porous graphitic carbon fibers (HPGCFs) with SSA up to 1716m2 g−1 and a high degree of graphitization in the bulk state. This is advantageous compared to amorphous carbon fibers obtained by conventional thermal annealing and KOH-activation. The obtained HPGCFs show remarkable energy storage capability (61% capacitance retention from 1 to 60Ag−1). To further increase the capacitance value, anthraquinone (AQ) molecules have been selected to functionalize HPGCFs via π–π stacking interactions. Asymmetric supercapacitors have been assembled using HPGCFs as the positive electrode and AQ-HPGCFs as the negative electrode in aqueous H2SO4 solution. The device presents a large energy density (19.3Whkg−1 in the applied potential range between 0 and 1.2V) and ultrahigh power capability (up to 120Ag−1, a full charge–discharge within 0.8s).
is Chair of Systems Engineering and Multi-Material Design at the Institute of  Lightweight  Engineering and  Polymer Technology  at TU Dresden in Dresden (Germany).
Evidence of decreasing sediment supply to estuaries and coastal oceans worldwide illustrates the need for accurate and updated estimates. In the San Francisco Estuary (Estuary), recent research suggests a decrease in supply from its largest tributaries, implying the increasing role of smaller, local tributaries in sediment supply to this estuary. Common techniques for estimating supply from tributaries are based on gages located above head of tide, which do not account for trapping processes within the tidal reach. We investigated the effect of a tidal reach on suspended-sediment discharge for Corte Madera Creek, a small tributary of the Estuary. Discharge of water (Q) and suspended-sediment (SSD) were observed for 3 years at two locations along the creek: upstream of tidal influence and at the mouth. Comparison of upstream and mouth gages showed nearly 50 % trapping of upstream SSD input within the tidal reach over this period. At the storm time scale, suspended-sediment trapping efficiency varied greatly (range −31 to 93 %); storms were classified as low- or high-yield based on upstream SSD. As upstream peak Q increased, high-yield storms exhibited significantly decreased trapping. Tidal conditions at the mouth—ebb duration and peak ebb velocity—during storms had a minor effect on sediment trapping, suggesting fluvial processes dominate. Comparison of characteristic fluvial and tidal discharges at the storm time scale demonstrated longitudinal differences in the regulating process for SSD. These results suggest that SSD from gages situated above head of tide overestimate sediment supply to the open waters beyond tributary mouths and thus trapping processes within the tidal reach should be considered.
Fabrication and assembly of electrodes and electrolytes play an important role in promoting the performance of electrochemical energy storage (EES) devices such as batteries and supercapacitors. Traditional fabrication techniques have limitations in controlling the geometry and architecture of the electrode and solid-state electrolytes, which would otherwise compromise the performance. 3D printing, a disruptive manufacturing technology, has emerged as an innovative approach to fabricating EES devices from nanoscale to macroscale, providing great opportunities to accurately control device geometry (e.g., dimension, porosity, and morphology) and structure with enhanced specific energy and power densities. Moreover, the “additive” manufacturing nature of 3D printing provides excellent controllability of the electrode thickness with much simplified process in a cost effective manner. With the unique spatial and temporal material manipulation capability, 3D printing can integrate multiple nano-materials in the same print, and multi-functional EES devices (including functional gradient devices) can be fabricated. Herein, we review recent advances in 3D printing of EES devices. We focus on two major 3D printing technologies including direct writing and inkjet printing. The direct material deposition characteristics of these two processes enable them to print on a variety of flat substrates, even a conformal one, well suiting them to applications such as wearable devices and on-chip integrations. Other potential 3D printing techniques such as freeze nano-printing, stereolithography, fused deposition modeling, binder jetting, laminated object manufacturing, and metal 3D printing are also introduced. The advantages and limitations of each 3D printing technology are extensively discussed. More importantly, we provide a perspective on how to integrate the emerging 3D printing with existing technologies to create structures over multiple length scale from nano to macro for EES applications.
We have previously argued that the current borderline personality disorder (BPD) diagnosis is over-inclusive and clinically and conceptually impossible to distinguish from the schizophrenia spectrum disorders. This study involves 30 patients clinically diagnosed with BPD as their main diagnosis by three BPD dedicated outpatient treatment facilities in Denmark. The patients underwent a careful and time-consuming psychiatric evaluation involving several senior level clinical psychiatrists and researchers and a comprehensive battery of psychopathological scales. The study found that the vast majority of patients (67% in DSM-5 and 77% in ICD-10) in fact met the criteria for a schizophrenia spectrum disorder, i.e., schizophrenia (20%) or schizotypal (personality) disorder (SPD). The schizophrenia spectrum group scored significantly higher on the level of disorders of core self as measured by the Examination of Anomalous Self-Experiences Scale (EASE). The BPD criterion of “identity disturbance” was significantly correlated with the mean total score of EASE. These findings are discussed in the light of changes from prototypical to polythetic diagnostic systems. We argue that the original prototypes/gestalts informing the creation of BPD and SPD have gone into oblivion during the evolution of polythetic criteria.