batterydata/paper-abstracts huggingface dataset:
Continuous intrathecal Baclofen application (ITB) through an intracorporeal pump system is widely used in adults and children with spasticity of spinal and supraspinal origin. Currently, about 1200 new ITB pump systems are implanted in Germany each year. ITB is based on an interdisciplinary approach with neurologists, rehabilitation specialists, paediatricians and neurosurgeons. We are presenting the proceedings of a consensus meeting organised by IAB—Interdisciplinary Working Group for Movement Disorders. The ITB pump system consists of the implantable pump with its drug reservoir, the refill port, an additional side port and a flexible catheter. Non-programmable pumps drive the Baclofen flow by the reservoir pressure. Programmable pumps additionally contain a radiofrequency control unit, an electrical pump and a battery. They have major advantages during the dose-finding phase. ITB doses vary widely between 10 and 2000 μg/day. For spinal spasticity, they are typically in the order of 100–300 μg/day. Hereditary spastic paraplegia seems to require particularly low doses, while dystonia and brain injury require particularly high ones. Best effects are documented for tonic paraspasticity of spinal origin and the least effects for phasic muscle hyperactivity disorders of supraspinal origin. Oral antispastics are mainly effective in mild spasticity. Botulinum toxin is most effective in focal spasticity. Myotomies and denervation operations are restricted to selected cases of focal spasticity. Due to its wide-spread distribution within the cerebrospinal fluid, ITB can tackle wide-spread and severe spasticity.
ZnS nanoparticles embedded in reduced graphene oxide (RGO) were prepared via a facile microwave-assisted method and applied as anode materials of sodium-ion batteries (SIBs). The as-prepared composites exhibit excellent sodium storage properties. A maximum specific capacity of 481mAhg−1 at the specific current of 100mAg−1 can be achieved after 50 cycles by optimizing the RGO content in the composites. The improved sodium-ion storage ability can be ascribed to the enhanced specific surface area and increased electric conductivity due to the introduction of RGO and the decreased size of ZnS particles which can shorten the pathway of sodium-ion diffusion and facilitate the reversible Na+ diffusion kinetics.
A novel method to modify the surfaces of transition metal oxides (MO) film-electrode was proposed in this study. At first, a monolayer of terephthalic acid was covalently bonded to the surfaces of Cu2O films. Then silver (Ag) particles were electrodeposited on the monolayer-grafted films by a potential-step process. The resulting Ag–Cu2O films exhibited improved electrochemical performance as negative electrodes in lithium-ion batteries compared to the original Cu2O films. An increase in electrical contact between Cu2O particles was considered to be responsible for the improvement in the electrochemical properties.
Recently, triboelectric nanogenerators (TENGs) have received increasing interest due to their large potential for mechanical energy harvesting. Important progress has been achieved in increasing the output power and efficiency while new structures have emerged. In particular, their robustness and endurance have increased, but some critical concerns still remain about the degradation and lifetime of TENGs. How will TENGs age under intensive use in our daily lives? To address this issue, we propose in this paper to use shape memory polymers (SMPs) to extend TENGs’ lifetimes and guarantee their performance. For this purpose we introduce a new smart SMP-based self-healing TENG which has the capacity to be healed and to recover good performance after degradation of its triboelectric layer. We studied the degradation and healing process of the SMP–TENG, and the improvement in its endurance and lifetime, and thus demonstrate the huge potential of self-healing SMP–TENGs.
This paper develops literatures on affective atmospheres to rethink the status of technical objects in human geographical analysis. Suggesting that narratives of affect and affordance have difficulty accounting for objects when they are not directly encountering one another, the paper draws upon Levi Bryant’s discussion of allopoietic objects and Graham Harman’s analysis of space and time to advance the concept of perturbation. In doing so, the paper argues that technical objects are not lifeless mechanisms but actively produce spatio-temporal atmospheres, which shape the humans who are immersed in these atmospheres. Using the iPhone 4 as a thought experiment to think through the different types of atmosphere that can be generated by technical objects, the paper suggests that geographers should attune themselves to these atmospheres and recognize the role they play in the organization and experience of space and time for humans.
Confinement of sulfur and alleviation of the polysulfides dissolution are the key issues for development of high-performance lithium-sulfur (Li-S) batteries. Here, we report self-assembly sandwiches composed of zeolitic-imidazolate-frameworks (ZIF-8)-derived mesoporous carbons (ZIF-8(C)) in between reduced graphene oxide (rGO) layers, which are filled with sulfurs inside and coated with poly(3, 4-ethylenedioxythiophene) (PEDOT) outside (noted as P@rGO/ZIF-8(C)). During the synthesis process, the rGO layers stabilize the structure of ZIF-8 nanocrystals to obtain large specific surface area and high electric conductivity of mesoporous materials (rGO/ZIF-8(C)), ensuring accommodation of a large amount of sulfur and the efficient utilization of the confined sulfur. The mesoporous rGO/ZIF-8(C), PEDOT and N-doping provide physical absorption and chemical binding to the polysulfides during cycles. Consequently, the Li-S batteries with the composite cathodes exhibit the high capacity of 1308 mAh g−1 and 865 mAh g−1 at 0.2 C and 1 C, respectively, and a very low capacity fading of 0.03% per cycle after 500 reversible cycles at 1 C rate. The results indicate that the P@rGO/ZIF-8(C)-S composite cathode may offer a feasible strategy for construction of sulfur cathodes for high-performance Li-S batteries.
The aim of the studies was to determine the effect of inorganic fillers surface modified with acidic groups on the properties of polymer gel electrolytes: matrix morphology, temperature dependence of ionic conductivity and interfacial stability. The effect of the concentration of the lithium salt on ionic conductivity was also studied. The poly(vinylidene fluoride-co-hexafluoropropylene) (PVdF/HFP) gels were prepared according to the so-called Bellcore process. Dry membranes were immersed in a liquid electrolyte solution. Two different lithium salts (LiCF3SO3 and LiN(CF3SO2)2) in propylene carbonate (PC) were used as liquid electrolytes. The salt concentration in the solution varied from 0.05M to 1M. Changes in the ionic conductivity as a function of the type of the filler added were analyzed on the basis of impedance spectroscopy experiments. The structure and morphology were analyzed by means of DSC and scanning electron microscopy techniques. The stability of the gel electrolytes–lithium electrode interface was evaluated by impedance spectroscopy technique in Swagelok geometry against two lithium metal electrolytes over 25 days. Finally, the lithium transference number was calculated for some of the studied gels using the polarization method.
Because of the spatiotemporal variability of people and air pollutants within cities, it is important to account for a person’s movements over time when estimating personal air pollution exposure. This study aimed to examine the feasibility of using smartphones to collect personal-level time–activity data. Using Skyhook Wireless’s hybrid geolocation module, we developed “Apolux” (Air, Pollution, Exposure), an AndroidTM smartphone application designed to track participants’ location in 5-min intervals for 3 months. From 42 participants, we compared Apolux data with contemporaneous data from two self-reported, 24-h time–activity diaries. About three-fourths of measurements were collected within 5 min of each other (mean=74.14%), and 79% of participants reporting constantly powered-on smartphones (n=38) had a daily average data collection frequency of <10 min. Apolux’s degree of temporal resolution varied across manufacturers, mobile networks, and the time of day that data collection occurred. The discrepancy between diary points and corresponding Apolux data was 342.3 m (Euclidian distance) and varied across mobile networks. This study’s high compliance and feasibility for data collection demonstrates the potential for integrating smartphone-based time–activity data into long-term and large-scale air pollution exposure studies.
Due to the depletion of energy resources and global warming, renewable energies such as the solar collector (SC) and photovoltaic generation (PV), are gaining more widespread use in residential areas. In Japan, incentive to install these units for consumers is provided by governmental support with the introduction of feed-in tariffs (FIT) and governmental subsidies. Thus, it is possible to reduce electricity cost in houses using time-of-use (TOU) price and to get benefit from selling power generated by PV. Furthermore, investment costs of PV and battery systems are decreasing year by year; on however, the price of purchased power for consumers is increasing and the selling price by FIT is decreasing annually. Hence, it is important to reveal which year, at what capacity, and which system and appliances are best choices for the consumer. In this paper, an expansion planning model of PV and battery systems for the smart house is presented. The expansion planning period is 20 years and ranges from 2015 to 2035. The proposed method clarifies the optimal installation year, capacity and appliances during the twenty year period considering variable characteristics such as investment cost, selling price and purchasing price which change year by year.
Alkaline rechargeable batteries represented by Ni–Cd and Ni–MH batteries are expanding their market, continuously meeting an increasing demand. Approximately 30 years have elapsed since the first sealed Ni–Cd battery was commercialized for consumer use, and the production of these alkaline batteries is still expanding. The high power performance and good cost performance of these batteries are the outstanding features, which are leading to new battery applications. Continuous R&D of many researchers and engineers has improved these features. Since first coming to the market in 1990, Ni–MH batteries have been extending their application as power sources for portable advanced information and communication equipment. Improvements in electrode materials and other components have increased the energy density of current Ni–MH batteries to values of 91Wh/kg and 340Wh/l. Recently, novel metallic alloys for hydrogen storage have been proposed to increase their capacity further, and further improvement in the performance of these batteries is expected.
A computational system is called autonomous if it is able to make its own decisions, or take its own actions, without human supervision or control. The capability and spread of such systems have reached the point where they are beginning to touch much of everyday life. However, regulators grapple with how to deal with autonomous systems, for example how could we certify an Unmanned Aerial System for autonomous use in civilian airspace? We here analyse what is needed in order to provide verified reliable behaviour of an autonomous system, analyse what can be done as the state-of-the-art in automated verification, and propose a roadmap towards developing regulatory guidelines, including articulating challenges to researchers, to engineers, and to regulators. Case studies in seven distinct domains illustrate the article.
Corticostriatal NMDARs mediate certain learning and executive functions. Here Brigman et al. demonstrate that the NMDAR GluN2B subunit in dorsolateral striatum of mice is important for learning a behavioral choice and that its action is dissociable from that of GluN2B in orbitofrontal cortex in flexibly shifting choice behavior.
The electrochemical behavior of a conductive carbon-rich fluorine-doped tin oxide (CFTO) powder synthesized via the sol–gel process was investigated by studying the chloride oxidation reaction in aqueous media with the help of a cavity microelectrode (CME) without any binding additive. This new electroactive compound was found to be very efficient with respect to the chloride–chlorine reaction which was reversible in the 2–7 pH range. The CFTO powder electrode was characterized by linear sweep voltamperometry and electrochemical impedance measurements. On the basis of numerical simulations, impedance spectra were interpreted by considering a porous electrode behavior with a coupled concentration and potential axial gradients. The experimental data were quantitatively accounted for by considering the parallel combination of a number of cylindrical pores. On the CFTO powder, the chloride oxidation mechanism was simply described by a single electron exchange, in accordance with a Volmer–Tafel mechanism.
Objective The aim of this study was to characterize the neuropsychological features of a representative sample of Sleep-related Hypermotor Epilepsy (SHE) patients and to highlight clinical associations. Methods This cross-sectional study included 60 consecutive patients with video/video-electroencephalography–documented SHE. All were assessed by measures of intelligence. Individuals with normal scores underwent a standardized battery of tests. The Fisher exact test and Wilcoxon rank-sum test for statistical analysis. Results Mean total IQ was 96.96 ± 21.50, with significant differences between verbal and performance scores (p < 0.0001). Nine patients (15%) had intellectual disability (ID)/cognitive deterioration. Of the 49 assessed by the extensive battery, 23 (46.9%) showed deficits in at least one test evaluating phonemic fluency (24.5%), memory (24.5%), inhibitory control (22.4%), or working memory (10.2%). Patients with mutations in SHE genes had lower IQ than patients without mutations, irrespective of the specific gene (p = 0.0176). Similarly, pathological neurological examination (NE) and “any underlying brain disorder” (at least one among pathological NE, abnormal brain magnetic resonance imaging findings, perinatal insult) were associated with ID (p = 0.029, p = 0.036). A higher seizure frequency at last assessment and poor prognosis correlated with worse scores in visuo-spatial memory (p = 0.038, p = 0.040) and visuo-spatial abilities (p = 0.016). Status epilepticus (p = 0.035), poor response to antiepileptic drugs (p = 0.033), and poor prognosis (p = 0.020) correlated with lower shifting abilities, whereas bilateral convulsive seizures correlated with worse working memory (p = 0.049). Conclusion In all, 53.3% of SHE patients had neuropsychological deficits. The profile of impairment showed worse verbal IQ, as well as deficits in extrafrontal and selective frontal functions. Our data support the contribution of genetics in ID by different biological mechanisms. Variables of clinical severity affect memory and executive functioning.
The energy density of aqueous organic flow batteries is generally low primarily because of the low solubility or instability of charge-storing organic molecules. Now, a phenazine-derived molecule is shown to have both high solubility and long-term stability, leading to an exceptionally high capacity in an aqueous flow battery.
PDE1B is a calcium-dependent cyclic nucleotide phosphodiesterase that is highly expressed in the striatum. In order to investigate the physiological role of PDE1B in the central nervous system, PDE1B knockout mice (C57BL/6N background) were assessed in behavioral tests and their brains were assayed for monoamine content. In a variety of well-characterized behavioral tasks, including the elevated plus maze (anxiety-like behavior), forced swim test (depression-like behavior), hot plate (nociception) and two cognition models (passive avoidance and acquisition of conditioned avoidance responding), PDE1B knockout mice performed similarly to wild-type mice. PDE1B knockout mice showed increased baseline exploratory activity when compared to wild-type mice. When challenged with amphetamine (AMPH) and methamphetamine (METH), male and female PDE1B knockout mice showed an exaggerated locomotor response. Male PDE1B knockout mice also showed increased locomotor responses to higher doses of phencyclidine (PCP) and MK-801; however, this effect was not consistently observed in female knockout mice. In the striatum, increased dopamine turnover (DOPAC/DA and HVA/DA ratios) was found in both male and female PDE1B knockout mice. Striatal serotonin (5-HT) levels were also decreased in PDE1B knockout mice, although levels of the metabolite, 5HIAA, were unchanged. The present studies demonstrate increased striatal dopamine turnover in PDE1B knockout mice associated with increased baseline motor activity and an exaggerated locomotor response to dopaminergic stimulants such as methamphetamine and amphetamine. These data further support a role for PDE1B in striatal function.
Reliability of lithium-ion (Li-ion) rechargeable batteries used in implantable medical devices has been recognized as of high importance from a broad range of stakeholders, including medical device manufacturers, regulatory agencies, physicians, and patients. To ensure Li-ion batteries in these devices operate reliably, it is important to be able to assess the battery health condition by estimating the battery capacity over the life-time. This paper presents a data-driven method for estimating the capacity of Li-ion battery based on the charge voltage and current curves. The contributions of this paper are three-fold: (i) the definition of five characteristic features of the charge curves that are indicative of the capacity, (ii) the development of a non-linear kernel regression model, based on the k-nearest neighbor (kNN) regression, that captures the complex dependency of the capacity on the five features, and (iii) the adaptation of particle swarm optimization (PSO) to finding the optimal combination of feature weights for creating a kNN regression model that minimizes the cross validation (CV) error in the capacity estimation. Verification with 10years’ continuous cycling data suggests that the proposed method is able to accurately estimate the capacity of Li-ion battery throughout the whole life-time.
As the number of electric vehicles (EVs) is steadily increasing, their aggregation can offer significant storage to improve the electric system operation in many aspects. To this end, a comprehensive stochastic optimization framework is proposed in this paper for the joint operation of a fleet of EVs with a wind power producer (WPP) in a three-settlement pool-based market. An aggregator procures enough energy for the EVs based on their daily driving patterns, and schedules the stored energy to counterbalance WPP fluctuations. Different sources of uncertainty including the market prices and WPP generation are modeled through proper scenarios, and the risk is hedged by adding a risk measure to the formulation. To obtain more accurate results, the battery degradation costs are also included in the problem formulation. A detailed case study is presented based on the Iberian electricity market data as well as the technical information of three different types of EVs. The proposed approach is benchmarked against the disjoint operation of EVs and WPP. Numerical simulations demonstrate that the proposed strategy can effectively benefit EV owners and WPP by reducing the energy costs and increasing the profits.
The SiMn–graphite composite powder was prepared by mechanical ball milling and its electrochemical performances were evaluated as the candidate anode materials for lithium ion batteries. It is found that the cyclic performance of the composite materials is improved significantly compared to SiMn alloy and pure silicon. The heat treatment of the electrodes is beneficial for enhancing the cyclic stabilities. The SiMn–20wt.% graphite composite electrode after annealing at 200°C has an initial reversible capacity of 463mAhg−1 and a charge–discharge efficiency of 70%. Moreover, the reversible capacity maintains 426mAhg−1 after 30 cycles with a coulomb efficiency of over 97%. The phase structure and morphology of the composite were analyzed by X-ray diffraction (XRD) and scanning electron microscopy. The lithiation/delithiation behavior was investigated by electrochemical impedance spectroscopy (EIS) and cyclic voltammetry. The composite materials appear to be promising candidates as negative electrodes for lithium rechargeable batteries.
Electricity markets in liberalised nations are composed primarily of private firms that make strategic decisions about how to secure competitive advantage. Energy transitions, driven by decarbonisation targets and technological innovation, will create new markets and destroy old ones in a re-configuration of the power sector. This research suggests that by 2050 up to 21bnGBP per year of new financial value is available in the UK electricity system, and that depending on scenario, these new values represent up to 31% of the entire electricity sector. To service these markets business model innovation and new firm strategies are needed in electric power provision. Energy scenarios can inform strategic decisions over business model adaptation, but to date scenario modelling has not directly addressed firm strategy and behaviour. This is due in part to neo-classical assumptions of firm rationality and perfect foresight. This research adopts a resource based view of the firm rooted in evolutionary economics to argue that quantifying the relative size of the markets created and destroyed by energy transitions can provide useful insight into firm behaviour and innovation policy.
Nanoscale and NiO-coated LiCoPO4 cathode materials were prepared for the first time by a newly designed three-step synthesis route, which is a combined technique including advantages of the Stöber, hydrothermal and microwave synthesis methods. Using this extraordinary technique, LiCoPO4 particles are coated with a thin NiO layer with a perfect core-shell morphology and the technique's positive contribution to electrochemistry is elucidated in detail. The samples are interpreted using opto-analytical techniques and galvanostatic charge-discharge tests. The high-resolution transmission electron microscopy analysis proves that this well-elaborated technique makes it possible to achieve a continuous NiO surface coverage of 8–10 nm, a result that contributes towards solving the chronic electrochemical problems of 4.8 V cathode material. Our data reveal that NiO-coated LiCoPO4 cathode demonstrates superior cycle stability and specific capacity at relatively low rates. The 2.5% wt. NiO-coated cathode exhibits the best electrochemical property, which reaches a discharge capacity of 159 mAh g−1 at 0.l C current rate and shows almost 85% capacity retention after 80 charge-discharge cycles. It therefore achieves partial success in improving the electrochemical properties of the LiCoPO4 cathode material, which is especially crucial for energy storage to be applied in electric vehicles and plug-in hybrid electric applications.