11 research outputs found

    Flexible Asymmetric Supercapacitor Based on Functionalized Reduced Graphene Oxide Aerogels with Wide Working Potential Window

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    Flexible energy storage devices are in great demand since the advent of flexible electronics. Until now, flexible supercapacitors based on graphene analogues usually have had low operating potential windows. To this end, two dissimilar electrode materials with complementary potential ranges are employed to obtain an optimum cell voltage of 1.8 V. A low-temperature organic sol–gel method is used to prepare two different types of functionalized reduced graphene oxide aerogels (rGOA) where Ag nanorod functionalized rGOA acts as a negative electrode while polyaniline nanotube functionalized rGOA acts as a positive electrode. Both materials comprehensively exploit their unique properties to produce a device that has high energy and power densities. An assembled all-solid-state asymmetric supercapacitor gives a high energy density of 52.85 W h kg–1 and power density of 31.5 kW kg–1 with excellent cycling and temperature stability. The device also performs extraordinarily well under different bending conditions, suggesting its potential to meet the requirements for flexible electronics

    <i>p</i>‑Thiocresol Functionalized Cesium Lead Bromide (PTC@CsPbBr<sub>3</sub>): A Fluorometric Sensing Probe for the Detection of Cholesterol

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    Inorganic halide-based perovskites (e.g., cesium lead bromide) are tremendously useful semiconducting materials due to their unique optoelectronic properties. However, degradation of these perovskites under humid conditions is one of the major drawbacks to prevent their wide applications. Herein, passivated cesium lead bromide nanoparticles are synthesized using p-thiocresol as a passivating ligand, and this stable version of perovskite is later applied successfully as a sensor probe towards cholesterol detection. The designed sensor can detect cholesterol with a lower detection limit of 0.24 ppm and a fast response time of 10 s. The mechanism of quenching PTC@CsPbBr3 upon the gradual addition of cholesterol is discussed. Further, the sensor is successfully applied in the detection of cholesterol in real samples (blood serum). This work presents PTC@CsPbBr3 as a novel sensing platform for detecting cholesterol well in biomedical applications

    Rainforest environment and physiology

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    Survival of plants may be determined more by extreme than by median environmental conditions. Within the forest, there are large variations between the upper canopy and forest floor in windspeed, radiation duration and intensity, and atmospheric relative humidity. Leaf temperature and water balance all affect the rates of carbon gain and water loss by leaves. Rainforest species tolerate extremes of heat and cold, and leaf water potentials more commonly associated with arid environments. Rainforests of Australia are not identical with the humid equatorial forests. -from Author

    Spatial and temporal distribution of photosynthesis and transpiration by single leaves in a rainforest tree, Argyrodendron peralatum

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    The light environments and rates of photosynthesis by leaves of Argyrodendron peralatum were examined at 8 positions within a natural rainforest canopy. Daily integrals of irradiance at leaf surfaces expressed as a percentage of that reaching a horizontal sensor in the open decresaed from c50% in the uppermost leaves to about 20% at a point 2 m below the top of the crown and to 10-15% in the lower crown and understory. Leaves in the upper crown had maximum instantaneous rates of apparent photosynthesis of 11.5 μmol CO ms, whilst leaves in the lower crown of the same tree, and in understory saplings had maximum photosynthesis rates of 8.2 μmol ms. These rates were not significantly different, and are within the range observed in a number of rainforest species characteristic of later successional stages. Under conditions of adequate water supply, photosynthetic rate was light-saturated by 500 μmol quanta ms, irrespective of level in the canopy. -Author

    Precision Enhancement of Smartphone Sensor-Based Pavement Roughness Estimation by Standardizing Host Vehicle Speed

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    Condition assessment of pavement has a predominant part in delivering safety and comfort to users. Roughness is considered the most important characteristic as it affects road safety and vehicle operating costs. Authorities spend significant quantity of resources on using conventional methods for measuring roughness. Many researches are performed to estimate roughness by deploying smartphone sensors. However, no consideration is given to host vehicle speed influence in roughness evaluation using smartphones. This work explains a smartphone-sensor-based roughness evaluation technique by deploying the QCS model. The accuracy is checked with simultaneously collected IRI by a Roughometer. Results of the smartphone-based pavement roughness estimation experiment showed a high correlation value of 0.73, and proved the accuracy of the method. The data were segregated based on three speed ranges. The correlation between the smartphone-based and Roughometer-based IRI for all ranges was analyzed, and the R2 value of 0.75 was exhibited for 31-50 km/hr range.The presentation of the authors' names and (or) special characters in the title of the pdf file of the accepted manuscript may differ slightly from what is displayed on the item page. The information in the pdf file of the accepted manuscript reflects the original submission by the author

    Social media use and abuse: Different profiles of users and their associations with addictive behaviours

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    Introduction: Social media use has become increasingly prevalent worldwide. Simultaneously, concerns surrounding social media abuse/problematic use, which resembles behavioural and substance addictions, have proliferated. This has prompted the introduction of ‘Social Media Addiction’ [SMA], as a condition requiring clarifications regarding its definition, assessment and associations with other addictions. Thus, this study aimed to: (a) advance knowledge on the typology/structure of SMA symptoms experienced and: (b) explore the association of these typologies with addictive behaviours related to gaming, gambling, alcohol, smoking, drug abuse, sex (including porn), shopping, internet use, and exercise. Methods: A sample of 968 [Mage = 29.5, SDage = 9.36, nmales = 622 (64.3 %), nfemales = 315, (32.5 %)] adults was surveyed regarding their SMA experiences, using the Bergen Social Media Addiction Scale (BSMAS). Their experiences of Gaming, Internet, Gambling, Alcohol, Cigarette, Drug, Sex, Shopping and Exercise addictions were additionally assessed, and latent profile analysis (LPA) was implemented. Results: Three distinct profiles were revealed, based on the severity of one&apos;s SMA symptoms: ‘low’, ‘moderate’ and ‘high’ risk. Subsequent ANOVA analyses suggested that participants classified as ‘high’ risk indicated significantly higher behaviours related to internet, gambling, gaming, sex and in particular shopping addictions. Conclusions: Results support SMA as a unitary construct, while they potentially challenge the distinction between technological and behavioural addictions. Findings also imply that the assessment of those presenting with SMA behaviours, as well as prevention and intervention targeting SMA at risk groups, should consider other comorbid addictions. © 2023 The Author(s
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