batterydata/paper-abstracts huggingface dataset:
Introduction A total of 30 to 50% of amyotrophic lateral sclerosis patients suffer from cognitive disorders. The aim of the study is to characterize these disorders and to assess semantic memory in non-demented ALS patients. The secondary aim is to look for a link between disease type and neuropsychological characteristics. Method Patients were followed in an ALS center in Dijon. The following neuropsychological tests were used in this study: Folstein test, BREF test, verbal fluency, Isaac test, GRESEM test and TOP 30 test. Results Fifteen ALS patients were included. Nine of them (60%) were suffering from a semantic memory disorder. There was no correlation between ALS characteristics and the semantic memory disorder. Discussion This is the first study to reveal a semantic memory disorder in ALS. This result accentuates the hypothesis that ALS and semantic dementia are two phenotypes of the same degenerative process linked to TDP 43 proteinopathy.
This paper reviews the development of first-principles based mathematical models for batteries developed on a framework parallel to computation fluid dynamics (CFD), herein termed computational battery dynamics (CBD). This general-purpose framework makes use of the similarity in the equations governing different battery systems, and has resulted in the development of robust models in a relatively short time. Here we review this framework, in the context of applications to the coupled modeling of the thermal and electrochemical behavior of cells, and to the modeling at three different scales, namely pore-level, cell-level and stack-level. The similarity and differences of our approach with other research groups are exemplified. Significant results from each of these advanced applications of modeling are highlighted with emphasis on the insights that can be gained from a first-principles model. In addition, we also demonstrate the usefulness of a combined experimental-modeling approach in describing cells. The models reviewed here are expected to be useful in predicting the behavior of advanced batteries used in electric vehicles (EVs) and hybrid electric vehicles (HEVs).
As a paradigm of dynamic data-driven application systems (DDDAS), this paper addresses real-time identification of the State of Health (SOH) parameter over the life span of a battery that is subjected to approximately repeated cycles of discharging/recharging current. In the proposed method, finite-length data of interest are selected via wavelet-based segmentation from the time series of synchronized input–output (i.e., current–voltage) pairs in the respective two-dimensional space. Then, symbol strings are generated by partitioning the selected segments of the input–output time series to construct a special class of probabilistic finite state automata (PFSA), called D-Markov machines. Pertinent features of the statistics of battery dynamics are extracted as the state emission matrices of these PFSA. This real-time method of SOH parameter identification relies on the divergence between extracted features. The underlying concept has been validated on (approximately periodic) experimental data, generated from a commercial-scale lead-acid battery. It is demonstrated by real-time analysis of the acquired current–voltage data on in-situ computational platforms that the proposed method is capable of distinguishing battery current–voltage dynamics at different aging stages, as an alternative to computation-intensive and electrochemistry-dependent analysis via physics-based modeling.
A relationship between molecular structures of three thiosemicarbazone derivatives and their inhibition capability was studied using electrochemical measurements (potentiodynamic polarization and EIS), molecular dynamics method and quantum chemical calculations. Electrochemical measurements results revealed that the inhibition efficiencies increased with the concentration of inhibitors. The molecular dynamic method results showed that the higher binding energy between the inhibitor and metal surface, the higher the adsorption energy and the higher the inhibition efficiency. Thiosemicarbazone derivatives have been simulated as adsorbate on Ni(111) substrate and the adsorption density, adsorption energy and binding energy have been identified on nickel surface.
Developments of high efficient materials for electrocatalyst are significant topics of numerous researches since a few decades. Recent global interests related with energy conversion and storage lead to the expansion of efforts to find cost-effective catalysts that can substitute conventional catalytic materials. Especially, in the field of fuel cell, novel materials for oxygen reduction reaction (ORR) have been noticed to overcome disadvantages of conventional platinum-based catalysts. Various approaching methods have been attempted to achieve low cost and high electrochemical activity comparable with Pt-based catalysts, including reducing Pt consumption by the formation of hybrid materials, Pt-based alloys, and not-Pt metal or carbon based materials. To enhance catalytic performance and stability, numerous methods such as structural modifications and complex formations with other functional materials are proposed, and they are basically based on well-defined and well-ordered catalytic active sites by exquisite control at nanoscale. In this review, we highlight the development of nano-structured catalytic materials for ORR based on recent findings, and discuss about an outlook for the direction of future researches.
Cell signaling relies extensively on dynamic pools of redox-inactive metal ions such as sodium, potassium, calcium and zinc, but their redox-active transition metal counterparts such as copper and iron have been studied primarily as static enzyme cofactors. Here we report that copper is an endogenous regulator of lipolysis, the breakdown of fat, which is an essential process in maintaining body weight and energy stores. Using a mouse model of genetic copper misregulation, in combination with pharmacological alterations in copper status and imaging studies in a 3T3-L1 white adipocyte model, we found that copper regulates lipolysis at the level of the second messenger, cyclic AMP (cAMP), by altering the activity of the cAMP-degrading phosphodiesterase PDE3B. Biochemical studies of the copper-PDE3B interaction establish copper-dependent inhibition of enzyme activity and identify a key conserved cysteine residue in a PDE3-specific loop that is essential for the observed copper-dependent lipolytic phenotype.
Hollow hierarchical spheres self-organized from the ultrathin nanosheets of α-Fe2O3 were prepared by a simple process. These ultrathin nanosheet subunits possess an average thickness of around 3.5 nm and show preferential exposure of (110) facets. Their Li ion storage and visible-light photocatalytic water oxidation performance are tested. Such hierarchical nanostructures show high Li storage properties with good cycling stability and excellent rate capabilities. The water oxidation catalytic activity is 70 μmol h−1 g−1 for O2 evolution under visible light irradiation and can be maintained for 15 hours. The structural features of these α-Fe2O3 nanocrystals are considered to be important to lead to the attractive properties in both Li storage and photocatalytic water oxidation, e.g. hollow interior, ultrathin thickness and largely exposed active facets.
Fault detection in industrial plants plays an important role for ensuring the product quality, safety, and reliability of plant equipment. The purpose of this work is to propose a fault detection technique with a black-box modeling and a statistical module based on Neyman–Pearson test (NPT). In fact, Nonlinear Auto-Regressive Moving Average with eXogenous input (NARMAX) model is used to obtain a model for the normal condition operation. To detect a fault, The NPT has been applied to the residual of NARMAX model. The efficiency of the technique is illustrated through its application to monitor product quality in a distillation unit.
A charge–discharge cycling test of a Li/LiCoO2 cell containing ionic liquids based on bis(fluorosulfonyl)imide ([FSI]−) as the electrolyte media, revealed significantly better rate properties compared to those of cells using conventional ionic liquids. The use of an 1-ethyl-3-methylimidazolium (EMI+) salt permitted the retention of 70% of the discharge capacity at a 4C current rate. In contrast, similar performance of cells containing N-methyl-N-propylpyrrolidinium (Py13 +) and N-methyl-N-propylpiperidinium (PP13 +) salts of [FSI]− was limited to operation at 2 and 1C current rates, respectively. However, the charge/discharge cycling stability of the cell with Py13[FSI] was much better than that of the cell using EMI[FSI].
We demonstrate an aqueous mixing technique to synthesize nano-micron Li4Ti5O12 by spray drying followed by solid-state calcination. The as-prepared materials are characterized by XRD, TG–DTA, SEM, TEM and electrochemical measurements. Well-crystallized Li4Ti5O12 with no impurity can be obtained at a relatively low calcined temperature (650°C) owing to the effect of nanoscale and uniform particles. Because of the rough and porous nano-micron spherical particles, the obtained Li4Ti5O12 shows excellent rate capability and cycle ability. The initial discharge capacities are 174.8, 170.5, 167.5, 165.3, 158.2, 152.1, 130.9 and 111.9mAhg−1 at the 0.1, 0.5, 1, 2, 5, 10, 15 and 20 C rates, respectively. After 100 cycles, the as-prepared Li4Ti5O12 retains 99.6%, 96.9%, 98.8%, 89.3%, 90.4% and 89.0% of its initial discharge capacities at the 1, 2, 5, 10, 15 and 20 C rates, respectively.
The experimental charge and discharge profiles of a LiCoO2 electrode show that the overpotential of the electrode does not change much during galvanostatic charge, but changes significantly during galvanostatic discharge. Semi-empirical porous electrode models are presented to simulate the charge and discharge profiles of the LiCoO2 electrode. The symmetry factor is empirically assumed to decrease with the state of discharge of the electrode to enable the model predictions to agree well with the experimental discharge profiles.
Nanoporous nickel hydroxide Ni(OH)2 coated on nickel foam by using a chemical bath deposition method shows a high specific capacitance of 2200Fg−1 at a discharging current density of 1Ag−1. After 500 charge–discharge cycles, the specific capacitance is stabilized at 1470Fg−1, and there is only a 5% fall in specific capacitance during the following 1500 cycles. The relationship between the capacitance decay and changes in the microstructure and morphology of nanoporous Ni(OH)2 is investigated. The results show that phase transformation and the growth of particle/crystal size, rather than the formerly proposed flaking off of Ni(OH)2, are the major factors contributing to the capacitance decay.
Approximately 20% of patients report persistent and disabling pain following total knee arthroplasty (TKA) despite an apparently normally functioning prosthesis. One potential risk factor for unexplained persistent pain is high levels of pain catastrophizing. We designed a three-arm trial to determine if a pain coping skills training program, delivered prior to TKA, effectively reduces function-limiting pain following the procedure in patients with high levels of pain catastrophizing.
The role of energy services in social and economical developments is well recognized. However, rural populations in developing countries are deprived of affordable and reliable energy services. Batteries are considered as potential and relatively cheap source of power for home lighting in remote rural areas. These can be charged at affordable fee at Battery Charging Stations (BCSs) with a diesel generator and/or solar BCSs. Diesel generators are emitting CO2 green house gas and contributing to environmental pollution. While, the Solar Battery Charging Stations (SBCSs) with battery backup (i) address the issue of environmental pollution, (ii) reduce the production and use of fossil fuels, and (iii) also prevent the energy intermittency in rainy or cloudy days. In Mekong region countries, most of the existing BCSs are powered by diesel generators. Diesel power generators for battery charging are very popular and affordable options for the low income populations. However, the solar BCS systems for battery charging are also introduced during the last decade. In the present review paper, the BCS stations providing electricity services to remote rural households in Mekong region countries, in particular Cambodia, Lao PDR and Myanmar, are discussed. It is argued that the BCS systems (pre grid electrification schemes) to power remote houses are relevant for the rural electrification where either grid or mini-grid sites are far away or take decades to reach the grid electricity.
Résumé Introduction Nombre d’enfants nés prématurément ont des difficultés attentionnelles et des comportements d’hyperactivité qui sembleraient liés aux déficits des fonctions exécutives. Objectif Examiner si le suivi proposé au niveau national en Suisse aux enfants nés prématurément permet la détection des problèmes exécutifs. Méthodes Quarante-neuf enfants nés avant 29 semaines de gestation et examinés entre 5 et 6ans dans le cadre du suivi neurodéveloppemental standard comprenant l’évaluation cognitive avec les trois échelles du K-ABC (Kaufman Assessment Battery for Children), les processus mentaux composites (PMC), séquentiels et simultanés, et l’évaluation du comportement (SDQ pour Strenghts and Difficulties Questionnaire). Les fonctions exécutives ont été évaluées par des épreuves neuropsychologiques supplémentaires testant l’attention, l’inhibition, la mémoire de travail et par un questionnaire parental (BRIEF pour Behaviour Rating Inventory of Executive Function). La valeur discriminative des épreuves standard (K-ABC et SDQ) pour les troubles exécutifs a été examinée. Résultats Si l’échelle PMC discriminait peu les résultats obtenus aux tests neuropsychologiques, un score inférieur à 85 aux processus séquentiels était associé à une diminution significative des capacités attentionnelles. Le questionnaire SDQ permettait également une bonne discrimination des enfants présentant des difficultés explorées par le BRIEF. Conclusion Une analyse fine des résultats obtenus lors du suivi standard permet de cerner les difficultés des enfants nés prématurément : un résultat faible au niveau des processus séquentiels semble prédicteur de performances attentionnelles déficitaires. Les difficultés comportementales en lien avec les troubles exécutifs semblent bien dépistées par le SDQ. Il est important de détecter ces enfants, de les suivre avec des épreuves spécifiques si nécessaire et de favoriser des mesures de soutien.
Boron or nitrogen mono-doped carbon nanofiber (CNF), and boron, nitrogen co-doped CNF are intentionally prepared as positive electrodes in a vanadium redox flow battery (VRFB). The structures and electrochemical properties of the materials are investigated by Scanning electron microscopy, Raman spectroscopy, X-ray photoelectron spectroscopy, cyclic voltammetry and electrochemical impendence spectroscopy. The experimental results indicate that either B or N mono-doped CNF shown better electrochemical performance than untreated one. Interestingly, for the B and N co-doped CNF, the separated case exhibited an outstanding electrochemical activity better than either B or N mono-doped case, while the bonded case leading to a sharp drop in conductivity and shown poor electrochemical performances. These results demonstrated that not the total amount of incorporated B and N but how the B and N are incorporated into carbon nanostructures determines the catalytic activity toward VO2+/VO2 + reaction. Moreover, the individual mechanism of the nitrogen and boron containing functional groups act as active sites have been analyzed.
Battery systems coupled to photovoltaic (PV) modules for example fulfill one major function: they locally decouple PV generation and consumption of electrical power leading to two major effects. First, they reduce the grid load, especially at peak times and therewith reduce the necessity of a network expansion. And second, they increase the self-consumption in households and therewith help to reduce energy expenses. For the management of PV batteries charge control strategies need to be developed to reach the goals of both the distribution system operators and the local power producer. In this work optimal control strategies regarding various optimization goals are developed on the basis of the predicted household loads and PV generation profiles using the method of dynamic programming. The resulting charge curves are compared and essential differences discussed. Finally, a multi-objective optimization shows that charge control strategies can be derived that take all optimization goals into account.
This study investigates how the quadruple helix (QH) innovation model functions in a regional renewable energy initiative in Uppsala, Sweden. The focus is on the collaboration between regional office representatives, researchers, consultants and civil society, and their involvement in the attempt to implement and commercialize an innovation within renewable energy for the renovation of an old bridge. The empirical material gathered for this study was based on interviews, conversations, and participant observation during workshops and meetings with different stakeholders. By applying a processual approach, this article illustrates how the QH configuration (university-industry-government and civil society) emerges and evolves, unfortunately into a failed collaboration and thus a closing down of a commercialization attempt. By analyzing interactions and events of the process, we discuss the coordination problems between the actors to better understand how the dynamics affect local governments’ attempts to spur a more innovative climate in the region. In our conclusion, we discuss how the processual approach, when applied, can offer a better understanding of the uncertain development of QH projects in knowledge-based societies and economies.
Gouttebarge V, Wind H, Kuijer PP, Sluiter JK, Frings-Dresen MH. Reliability and agreement of 5 Ergo-Kit functional capacity evaluation lifting tests in subjects with low back pain. Objective To assess interrater reliability and agreement of 5 Ergo-Kit functional capacity evaluation lifting tests in subjects with low back pain (LBP). Design Within-subjects design, with 2 repeated measurements. Setting Academic medical center in The Netherlands. Participants Twenty-four subjects (10 men, 14 women) with LBP. Interventions Not applicable. Main Outcome Measure Five Ergo-Kit lifting tests (2 isometric, 3 dynamic) were assessed on 2 occasions (t1, t2), by 2 different raters (R1, R2). The interval between the test sessions was 3 days. Interrater reliability level was expressed with the intraclass correlation coefficient (ICC), and the level of agreement between raters with the standard error (SE) of measurement. Results ICCs means (reliability) of isometric and dynamic Ergo-Kit lifting tests ranged from .94 to .97, and SE of measurement values (agreement) ranged from 1.9 to 8.6kg. Conclusions There was good reliability and agreement between raters of the isometric and dynamic Ergo-Kit lifting tests in subjects with LBP, which supports the use of these tests to assess functional lifting capacity.
The use of intrinsically conducting polymers (ICPs) like polythiophene (PTh), polypyrrole (PPy) and polyaniline (PANI) in devices and systems for electrochemical energy storage and conversion is briefly reviewed with a focus on an overview distinguishing between already established uses and potential applications. Basic principles in these three major fields are highlighted: • ICPs as active masses. • ICPs as conductance-enhancing additives. • ICPs as auxiliary materials beyond conductance.
Homogenous hexangular starfruit-like vanadium oxide was prepared for the first time by a one-step hydrothermal method. The assembly process of hexangular starfruit-like structure was observed from TEM images. The electrochemical performance of starfruit-like vanadium oxide was examined by cyclic voltammetry and galvanostatic charge/discharge. The obtained starfruit-like vanadium oxide exhibits a high power capability (19 Wh kg−1 at the specific power of 3.4 kW kg−1) and good cycling stability for supercapacitors application.
Sepia apama were tagged with acoustic transmitters and monitored on their native House Reef, Boston Bay, South Australia, with a radio acoustic positioning telemetry (RAPT) system. Cuttlefish were tagged with position-only and intra-mantle jet pressure transmitters. New data analyses were developed to handle problem data that arise with an uneven reef environment. Maximum range for the cuttlefish varied from 90 m to 550 m. Cuttlefish home range was between 5300 m2 and 23,700 m2. S. apama were found to be diurnal as average distance travelled was higher in the day than at night, and cuttlefish were active for 32 days, but only 18 nights. After the cuttlefish settled into reef crevices, activity spectrum and positioning analysis showed foraging behaviour at only 3.7% per day and 2.1% per night. Cuttlefish were found to spend more than 95% of the day resting, which suggests that their bioenergetics are more akin to those of octopus than of squid. The cuttlefish combination of predator avoidance, efficient foraging and quiescent lifestyle allows energy to be channelled into growth and fulfillment of the live-fast-die-young cephalopod philosophy.
This study examined the effects of a yearlong Mediational Intervention for Sensitizing Caregivers (MISC; Klein, 1992) on: (a) the quality of interactions between rehabilitation day center paraprofessional staff (n =10) and their adult consumers (n =19) with severe intellectual disability (ID) and (b) the consumers’ cognition, autonomy, and behavioral functioning, versus a consumers’ control group (n =13). Regarding the staff–consumer interactions, more mediation of meaning (choice-making), expansion, and competence with explanation and less mediation of physical assistance were observed in the intervention group than in the control group following intervention. On a battery of cognitive measures (n =17), consumers in the MISC group improved their arithmetic skills, temporal concepts, and sequential memory of two digits. Behavioral observations indicated that the MISC group revealed increased positive behaviors, autonomy, and duration of work and decreased verbal and maladaptive behaviors.
The thermal stability of the neat lithium hexafluorophosphate (LiPF6) salt and of 1molal (m) solutions of LiPF6 in prototypical Li-ion battery solvents was studied with thermogravimetric analysis (TGA) and on-line Fourier transform infrared (FTIR). Pure LiPF6 salt is thermally stable up to 107°C in a dry inert atmosphere, and its decomposition path is a simple dissociation producing lithium fluoride (LiF) as solid and PF5 as gaseous products. In the presence of water (300ppm) in the carrier gas, its decomposition onset temperature is lowered as a result of direct thermal reaction between LiPF6 and water vapor to form phosphorous oxyfluoride (POF3) and hydrofluoric acid (HF). No new products were observed in 1m solutions of LiPF6 in ethylene carbonate (EC), dimethyl carbonate (DMC) and ethyl methyl carbonate (EMC) by on-line TGA–FTIR analysis. The storage of the same solutions in sealed containers at 85°C for 300–420h did not produce any significant quantity of new products as well. In particular, no alkylflurophosphates were found in the solutions after storage at elevated temperature. In the absence of either an impurity like alcohol or cathode active material that may (or may not) act as a catalyst, there is no evidence of thermally induced reaction between LiPF6 and the prototypical Li-ion battery solvents EC, PC, DMC or EMC.