batterydata/paper-abstracts huggingface dataset:
Objective This study explored the role of psychosocial factors in predicting both membership to either an irritable bowel syndrome (IBS) or control group, and the severity of IBS symptoms. Methods A total of 149 participants (82 IBS and 67 controls) completed a battery of self-report inventories assessing disposition and environment, cognitive processes, and psychological distress. Logistic regression analyses were used to assess predictive contribution of psychosocial variables to IBS diagnosis. Hierarchical linear regression was then used to assess the relationship of psychosocial variables with the severity of IBS symptoms. Results Significant predictors of IBS were found to be alexithymia, the defectiveness/shame schema, and four coping dimensions (active coping, instrumental support, self-blame, and positive reframing), χ 2 (6, N =130)=46.99, p <.001, with predictive accuracy of 72%. Significant predictors of IBS symptom severity were two of the alexithymia subscales (difficulty identifying feelings, and difficulty describing feelings), gender, the schemas of defectiveness/shame and entitlement, and global psychological distress. This model predicted IBS severity F (6, 64)=16.94, p <.001 and accounted for 61.3% of the variability in IBS severity scores. Conclusion Psychosocial variables account for a large percentage of the differences between an IBS and control group, as well as the variance of symptoms experienced within the IBS group. Alexithymia and the defectiveness schema appear to be related to both IBS and symptom severity.
Magnesium is an interesting anode battery material with many advantages such as its high standard potential of (−2.37 V), low cost and good low-temperature performance due to an exothermic corrosion reaction during discharge. Organic aromatic nitro compounds undergo multi-electron transfers of up to 18 during discharge, and hence, give high specific energies (up to 2 A h/g) in comparison with conventional inorganic battery depolarizers such as MnO2, HgO, CuO and AgO. Thus, it is worthwhile fabricating and studying the performance of a battery system combining magnesium and 2,4-dinitrophenol (DNP) using aqueous halide electrolytes like MgCl2, MgBr2 and Mg(ClO4)2.This paper describes the preparation of DNP cathodes after standardization of the cathode mixture. Mg/DNP cells (1 V, 1 A h) have been assembled using the above cathode in conjunction with magnesium alloy (AZ 31) anodes and discharged at different current densities (1.7, 3.3, 5, 6.6 mA/cm2) in 2 M MgCl2, MgBr2 and Mg(Cl04)2. Cyclic voltammograms of DNP have been recorded in 2 M Mg(ClO4)2 at various sweep rates and concentrations in order to understand the reduction behavior. The study suggests that DNP is a suitable organic compound for use as a positive electrode material in magnesium reserve batteries.
For patient undergoing cataract surgery in India, existing patient-reported outcome (PRO) measures are either not culturally relevant, have not been adequately validated, or are too long to be used in a busy clinical setting. We sought to develop and validate a brief and culturally relevant point-of-care PRO measure to address this need.
The aim of the current review was to provide a new, in-depth insight into possible pharmacological targets of amantadine to pave the way to extending its therapeutic use to further indications beyond Parkinson’s disease symptoms and viral infections. Considering amantadine’s affinities in vitro and the expected concentration at targets at therapeutic doses in humans, the following primary targets seem to be most plausible: aromatic amino acids decarboxylase, glial-cell derived neurotrophic factor, sigma-1 receptors, phosphodiesterases, and nicotinic receptors. Further three targets could play a role to a lesser extent: NMDA receptors, 5-HT3 receptors, and potassium channels. Based on published clinical studies, traumatic brain injury, fatigue [e.g., in multiple sclerosis (MS)], and chorea in Huntington’s disease should be regarded potential, encouraging indications. Preclinical investigations suggest amantadine’s therapeutic potential in several further indications such as: depression, recovery after spinal cord injury, neuroprotection in MS, and cutaneous pain. Query in the database
Recent advances in the skin-interfaced wearable sweat sensors allow a personalized daily diagnosis and prognosis of the diseases in a form of a non-invasive, portable, and continuous monitoring system. Especially, the soft microfluidic system provides robust quantitative analysis platforms that integrate sweat sampling, storing, and various sensing capabilities. This review systematically introduces the sweat collecting mechanism using soft microfluidic valves, including calculation of sweat storage and loss. In terms of sweat analysis, colorimetric (e.g. enzymatic, chemical, or their mixed reactions), electrochemical (e.g. voltammetric, potentiometric, amperometric, or conductometric), and multiplex measurements of sweat contents facilitate diagnosis of diseases via analysis of combined multiple data, such as vital signals (e.g. ECG, EMG, EEG, etc.) and information from the skin (e.g. temperature, GSR, etc.). The integration of wireless communication with the microfluidic systems enables point-of-care health monitoring for disease and specific physiological status.
This study evaluated letter recognition processing in Italian developmental dyslexics and its potential contribution to word reading. Letter/bigram recognition (naming and matching) and reading of words and non-words were examined. A group of developmental dyslexics and a chronologically age-matched group of skilled readers were examined. Dyslexics were significantly slower than skilled readers in all tasks. The rate and amount model (RAM, Faust et al., 1999) was used to detect global and specific factors in the performance differences controlling for the presence of over-additivity effects. Two global factors emerged. One (“letter-string” factor) accounted for the performance in all (and only) word and non-word reading conditions, indicating a large impairment in dyslexics (more than 100% reaction time – RT increase as compared to skilled readers). All the letter/bigram tasks clustered on a separate factor (“letter” factor) indicating a mild impairment (ca. 20% RT increase as compared to skilled readers). After controlling for global factor influences by the use of the z-score transformation, specific effects were detected for the “letter-string” (but not the “letter”) factor. Stimulus length exerted a specific effect on dyslexics' performance, with dyslexics being more affected by longer stimuli; furthermore, dyslexics showed a stronger impairment for reading words than non-words. Individual differences in the “letter” and “letter-string” factors were uncorrelated, pointing to the independence of the impairments. The putative mechanisms underlying the two global factors and their possible relationship to developmental dyslexia are discussed.
The current pharmacological treatments for chronic pain are limited. The first analgesic drug approved for clinical use in decades that has a novel molecular target is the synthetic version of a naturally occurring conotoxin. Several conotoxins that target ion channels have progressed to clinical trials for the relief of pain. Vc1.1 and RgIA are analgesic α-conotoxins that target α9-subunit-containing nicotinic acetylcholine receptors (α9-nAChR) as well as GABAB receptor mechanisms. However, the evidence for the involvement of α9-nAChRs in pain is controversial. In the present study, the role of the α9-nAChR in pain was assessed using a battery of behavioural pain tests and pain models in α9-nAChR knockout (KO) mice.
The aluminum vanadates, Al x V6O13+y , were found to reversibly intercalate lithium. These vanadates were found to deliver reversible specific capacities in the range of 100–300mAh/g, with average voltages of 2.3–2.5V, where 0.1<x<1.0. The efficiency of reversible insertion depended on the stoichiometric ratio of Al:V in the vanadate structure. Stable rechargeable performance was obtained by the incorporation of small amounts of aluminum in the cobalt vanadates (Co(VO3)2). Specific capacities in the range of 200–400mAh/g, with average voltages of 2.4V for Al x Co3V6O13+y (where 0<x<2 and 3<y<8) were achieved.
Electrified vehicles (EV) and renewable power sources are two important technologies for sustainable ground transportation. If left unmitigated, the additional electric load could over-burden the electric grid. Meanwhile, a challenge for integrating renewable power sources into the grid lies in the fact their intermittency requires more regulation services which makes them expensive to deploy. Fortunately, EVs are controllable loads and the charging process can be interrupted. This flexibility makes it possible to manipulate EV charging to reduce the additional electric load and accommodate the intermittency of renewable power sources. To illustrate this potential, a two-level optimal charging algorithm is designed, which achieves both load shifting and frequency regulation. Load shifting can be realized through coordination of power generation and vehicle charging while reducing power generation cost and carbon dioxide emissions. To ensure practicality, a decentralized charging algorithm for load shifting is formulated by emulating the charging pattern identified through linear programming optimization solutions. The frequency regulation is also designed based on frequency droop that can be implemented in a decentralized way. The two control objectives can be integrated because they are functionally separated by time scale. Simulation results are presented to demonstrate the performance of the proposed decentralized algorithm.
Wind energy is becoming more important in recent years due to its contribution to the independence of power generation industry from traditional fossil energy resources and availability of continuous harvest-able potential on earth approximately around 10 6 MW . This paper presents a comprehensive overview of grid interfaced wind power generation systems. This is intended to provide a wide spectrum on the status of wind profile, wind potential estimation, configuration/design of wind energy conversion systems, wind generators, power converter topologies used for grid integration of wind power, energy storage systems for wind power applications, power smoothing methods, HVDC links used for wind integration, international grid codes and maximum power point tracking methods to the researchers, designers, manufacturers, and engineers working on the grid interfaced wind power generation. More than 200 research publications on the topic of grid interfaced wind power generation systems have been critically examined, classified and listed for quick reference. This review is ready-reckoner of essential topics for grid integration of wind energy and available technologies in this field.
Extreme temperatures around flowering of wheat have the potential to reduce grain yield and at farm scale their impact can be spatially variable depending on topography. Twenty-five data loggers were installed at 0.8-m height across a 164-ha farm in the southern Mallee of Victoria, Australia to spatially record the daily course of temperatures around the average date of flowering of wheat in the region. The experiment was conducted during 2-years period. In 1 year, the farm had no crop cover and in another year the farm had a wheat crop. Multiple linear regression analysis techniques were used to fit models relating daily extreme temperatures to the farm topographic features of elevation, aspect and slope, and the average maximum and minimum temperatures of each day at the farm in order to identify areas of high risk of extreme temperatures around the time of the flowering of wheat. The fitted regression models explained 90% and 97% of the variability in maximum and minimum temperatures, respectively, when the farm had no crop cover and 80% and 94% of the variability in maximum and minimum temperatures, respectively, when the farm had a wheat crop cover. When the farm had no crop, only minimum temperature was partially explained by the topography however, both maximum and minimum temperatures were partially explained by the topography when the farm had a wheat crop. From this study it was concluded that, (1) high temperature variations were found across the farm (2) temperature variations were only partially explained from the developed model presumably due to the flatter topography of the farm and (3) the relationships obtained from this study could be used in a crop model which can explain variation in grain yield based on the topography of a field.
Publisher Summary This chapter provides an overview of the PIC 18FXX2 peripherals and focuses on the enhancements which are available in the 18 Series world. When the peripherals of the 18FXX2 microcontrollers are compared to the peripherals of the 16F87XA, it can be seen that, in almost every case, the same peripherals appear, with the same name and in the same pattern. Differences to note are that the 18FXX2 claims an extra timer, Timer 3, but does not have the comparator module of the 16F87XA. The parallel ports of the 18FXX2 are very similar to those of the 16 Series, both in structure and interfacing. They each have a PORTX register for data transfer and a TRISX register to set data direction. All versions of the 18FXX2 have no less than four programmable timers, as well as a Watchdog Timer. The chapter describes the timers in turn, making extensive use of information already provided for their 16 Series equivalents.
This research is aimed to improve the poor electron conductivity of CeO2 as the catalyst support for methanol oxidation. Pt/CeO2 catalyst coated with nitrogen-doped carbon layer has been prepared through a combined microwave-assisted polyol with in-situ carbonization of nitrogen-doped carbon-coating process using polyvinylpyrrolidone as the nitrogen-doped carbon precursor. Electrochemical results show that Pt/CeO2 catalyst coated with nitrogen-doped carbon layer has higher activity than the uncoated Pt/CeO2 catalyst due to more uniform dispersion, electron-donating effects, and the superior electrical conductivity of the CeO2 support enhanced by the nitrogen-doped carbon layer. Further, electrochemical results show that the optimal doped amount of polyvinylpyrrolidone is 20 wt%. The physical characteristics such as high-resolution transmission electron microscopy and X-ray photoelectron spectrometer have confirmed the existence of the nitrogen-doped carbon layer on CeO2.
This paper reports the preparation of α-MnO2 NWs/graphene composites as the cathode catalyst for magnesium-air fuel cell and its excellent electrochemistry performance. The composites are synthesized by self-assembly of α-MnO2 nan α-MnO2 NWs/graphene was synthesized and studied in Mg-air fuel cell. α-MnO2 NWs/graphene was synthesized and studied in Mg-air fuel cell. owires (NWs) on the surface of graphene via a simple hydrothermal method. The α-MnO2 NWs/graphene composites showed a higher electrochemical activity than the commercial MnO2. The oxygen reduction peak of the α-MnO2 NWs/graphene composites catalyst is tested in a 0.1M KOH solution at −0.252V, which is more positive than the commercial MnO2 (−0.287V). The ORR limit current density for 28% α-MnO2 NWs/graphene composite is approximately 2.74mA/cm2, which is similar to that of the 20% Pt/C(2.79mA/cm2) in the same conditions. Based on the Koutecky–Levich plot, the ORR mechanism of the composite involves a one-step, quasi-4-electron pathway. In addition, magnesium-air fuel cell with α-MnO2 NWs/graphene as catalyst possesses higher current density (140mA/cm2) and power density (96mW/cm2) compared to the commercial MnO2. This study proves that the cost-effective α-MnO2 NWs/graphene with higher power generation ability make it possible for the substitute of the noble metals catalyst in the Mg-air fuel cell.
Ultra-small (r < 2 nm), semiconductor quantum dots (QDs) based composites are underexplored in electrochemical energy-storage devices. This is due to practical challenges associated with synthesis of QDs such as (i) stabilization, (ii) scalability, and (iii) achieving monodispersed population. In this context, ultra-small, highly monodispersed copper oxide QDs (∼2.5 ± 0.4 nm) have been synthesized by using soft-chemical and scalable approach based on digestive ripening. Composites of digestively ripened (DRd) copper oxide QDs deposited on graphene oxide are tested electrochemically for battery-like supercapacitor. The composites are grown in-situ on a Ni-foam to make binder-free battery-like supercapacitor electrode by hydrothermal process. Results indicates that battery-like behavior of the composites. Among the composites, 50%QDs-GO provides maximum specific capacity of 191 mA h g−1 at 2 mV s−1 which is maintained up to 63 mA h g−1 even at a high scan rate of 200 mV s−1. The specific capacity increases ∼4 times for the 50%QDs-GO composite, compared to the graphene oxide. The maximum energy density provided by the system is 57.2 Wh kg−1 at 2 mV s−1. Specific capacity and charge-discharge stability of the composites are found to be improved with increasing concentration of QDs. This is the first report on deployment of DRd copper oxide QDs in battery-like supercapacitors and it opens up possibilities for further exploration of other DRd QDs.
Considering transport applications, there is worldwide an increasing interest in the use of hydrogen-energy for supplying electric powertrains. In order to extend the fuel cell lifespan and to increase its reliability and efficiency, the following features are essential to a fuel cell stack connected DC/DC boost converter: low input current ripple, high voltage gain ratio, high efficiency, high compactness, and high redundancy. Moreover, in order to assess in real time the state-of-health of the fuel cell stack, on-line Electrochemical Impedance Spectroscopy (EIS) functionality integrated with the fuel cell stack connected DC/DC boost converter is a real promising solution requiring no additional measurement equipment. From these points of view, this paper presents a comparison analysis of high voltage gain DC/DC boost converters for fuel cell electric vehicles applications. In addition, some comments and guidelines regarding integration issues are also provided.
Extreme climate events such as hurricanes can influence the movement and distribution of fish and other aquatic vertebrates. However, our understanding of the scale of movement responses and how they vary across taxa and ecosystems remains incomplete. In this study, we used acoustic telemetry data to investigate the movement patterns of common snook (Centropomus undecimalis) in the Florida Coastal Everglades during Hurricane Irma, which made landfall on the southwest Florida coast as a Category 3 storm on 10 September 2017 after passing in close proximity to our study site. We hypothesized that the hurricane resulted in shifts in distribution and that these movements may have been driven by environmental cues stemming from changes in barometric pressure associated with hurricane conditions, fluctuations in water levels (stage) characterizing altered riverine conditions, or a combination of both hurricane and riverine drivers. The data revealed large-scale movements of common snook in the time period surrounding hurricane passage, with 73% of fish detected moving from the upper river into downriver habitats, and some individuals potentially exiting the river. Furthermore, regression model selection indicated that these movements were correlated to both hurricane and riverine conditions, showing increased common snook movement at higher river stage and lower barometric pressure, and stage explaining a larger proportion of model deviance. Animal movement has widespread and diverse ecological implications, and by better understanding the factors that drive movement, we may anticipate how future extreme climate events could affect fish populations in impact-prone regions.
Fast growth of intermittent renewable energy generation introduces a need for large scale electricity storage. The Concentration Gradient Flow Battery (CGFB) is an emerging technology which combines Electrodialysis with Reverse Electrodialysis into a flow battery which is able to safely store very large amounts of energy in environmental friendly NaCl solutions. In this work, (dis)charge efficiency, energy density and power density are both theoretically and experimentally investigated. Fifteen constant current experiments (−47.5 to +37.5 A m−2) are performed at 40 °C and two experiments (−32.5 and 15 A m−2) at 10 and 25 °C. The magnitudes of the three main energy dissipation sources (internal resistance, water transport and co-ion transport) are measured and mitigation strategies are proposed. The effect of current density, state of charge and temperature on the dissipation sources is analysed. Water transport is shown to cause hysteresis, lower (dis)charge efficiencies and lower energy capacity. At constant current and with increasing temperature, internal resistance is reduced but unwanted water transport is increased. This study reports charge efficiencies up to 58% and discharge efficiencies up to 72%. Full charge or discharge of the battery is shown inefficient. The optimal operating range is therefore introduced and identified (concentration difference Δm > 0.5 and energy efficiency η > 0.4).
Patients with schizophrenia frequently report cannabis use, yet its effects on neurocognitive functioning in this population are still unclear. This meta-analysis was conducted to determine the magnitude of effect of cannabis consumption on cognition in schizophrenia without the confounding effects of other co-morbid substance use disorders. Eight studies met inclusion criteria yielding a total sample of 942. Three hundred and fifty six of these participants were cannabis users with schizophrenia, and 586 were patients with no cannabis use. Neuropsychological tests were grouped into seven domains (general cognitive ability and intelligence; selective, sustained and divided attention; executive abilities; working memory and learning; retrieval and recognition; receptive and expressive language abilities and visuo-spatial and construction abilities). Effect sizes were computed for each cognitive domain between cannabis-using patients and patients with no history of cannabis use. Effect size differences in cognitive performance in the schizophrenia group as a function of cannabis use were in the small to medium range, denoting superior performance in cannabis-using patients. Explanations for these findings are discussed and suggestions for future research in this area are recommended.
Mach and Hering had early advanced a model of spatial visual processing featuring an antagonistic interaction between adjoining areas in the visual field. Spatial opponency was one of the first findings when single-unit studies of the retina were begun. Not long afterwards psychophysical experiments revealed a center-surround organization closely matching that found in the mammalian retina. It hinged on the demonstration of reduction of sensitivity in a small patch of the visual field when its surround was changed from dark to bright. Because such patterns inevitably produce borders, well-known phenomena of border interaction could be seen as providing alternative explanations, whose substrate would most likely be in the visual cortex. These competing viewpoints are discussed especially as they pertain to the recent demonstration of spatial differences in the center/surround organization between the normal and affected eyes of amblyopes. To the extent that most findings favor a retinal site for the psychophysically measured antagonism, and that evidence is accumulating for a direct effect on the mammalian retina of stimulus manipulation during visual development, the difference in spatial parameters of center/surround antagonism in amblyopia suggests that the dysfunction in amblyopia begins already in the retina.