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One pot synthesis of poly m-toluidine incorporated silver and silver oxide nanocomposite as a promising electrode for supercapacitor devices
Abstract The design and fabrication of novel electrodes with strong electrochemical responses are crucial in advanced supercapacitor technology. In this study, a poly(m-toluidine)/silver-silver oxide (PMT/Ag-Ag2O) nanocomposite was prepared using the photopolymerization method. Various characterization techniques were employed to analyze the prepared nanomaterials. The resulting structure of Ag-Ag2O minimizes ion diffusion distances, increases active sites, and accelerates redox reactions. The electrochemical response of PMT and PMT/Ag-Ag2O electrodes was evaluated in three different electrolyte solutions (Na2SO4, H2SO4, and HCl). The specific capacitance of PMT/Ag-Ag2O nanocomposite was found to be higher than that of PMT alone. Among the tested electrolytes, HCl exhibited the highest specific capacitance of 443 F g−1 at a gravimetric current density of 0.4 A g−1, surpassing H2SO4 (104 F g−1) and Na2SO4 (32 F g−1). Also, the PMT/Ag-Ag2O nanocomposite has demonstrated good cycling stability. It exhibited a high specific power density of 156 W Kg−1 and a specific energy density of 1.8 Wh Kg−1. These results highlight the potential of the prepared PMT/Ag-Ag2O nanocomposite as a nanoelectrode material for high-performance supercapacitors.
Systematic identification of the chemical components of leaves and roots of Didymocarpus heucherifolius Hand.-Mazz. based on UHPLC Q-Exactive Orbitrap MS technology coupled with molecular networking strategy
Dengue dynamics, predictions, and future increase under changing monsoon climate in India
Abstract The global burden of dengue disease is escalating under the influence of climate change, with India contributing a third of the total. The non-linearity and regional heterogeneity inherent in the climate-dengue relationship and the lack of consistent data makes it difficult to make useful predictions for effective disease prevention. The current study investigates these non-linear climate-dengue links in Pune, a dengue hotspot region in India with a monsoonal climate and presents a model framework for predicting both the near-term and future dengue mortalities. Dengue mortality and meteorological conditions over a twelve-year period (2004–2015) are analyzed using statistical tools and machine learning methods. Our findings point to a significant influence of temperature, rainfall, and relative humidity on dengue mortality in Pune, at a time-lag of 2–5 months, providing sufficient lead time for an early warning targeted at curbing dengue outbreaks. We find that moderate rains spread over the summer monsoon season lead to an increase in dengue mortality, whereas heavy rains reduce it through the flushing effect, indicating the links between dengue and monsoon intraseasonal variability. Additionally, warm temperatures above 27°C and humidity levels between 60% and 78% elevate the risk of dengue. Based on these weather-dengue associations, we developed a machine-learning model utilizing the random forest regression algorithm. The dengue model yields a skillful forecast, achieving a statistically significant correlation coefficient of r = 0.77 and a relatively low Normalized Root Mean Squared Error score of 0.52 between actual and predicted dengue mortalities, at a lead time of two months. The model finds that the relative contributions of temperature, rainfall, and relative humidity to dengue mortality in Pune are 41%, 39%, and 20%, respectively. We use the dengue model in conjunction with the climate change simulations from the Coupled Model Intercomparison Project phase 6 for the future dengue mortality projections under a global warming scenario. In a changing climate, dengue-related mortality in Pune is projected to rise by 13% in the near future (2021–2040), 23–40% in the mid-century (2041–2060), and 30–112% in the late century (2081–2100) under low-to-high emission pathways in response to the associated increase in temperature and changes in monsoon rainfall patterns.
Galloping behavior of insulated overhead transmission line based on aerodynamic analysis
Lithium recovery from mixed spent LFP-NMC batteries through atmospheric water leaching
Factors related to milk donation based on the theory of planned behavior in pregnant women
The influences of social support expressed from doctors and disclosed from peers on patient decision-making: an analysis from the online health community
Molecular epidemiology and genetic diversity of disappearing Plasmodium vivax in southern Thailand
Estimating soil profile salinity under vegetation cover based on UAV multi-source remote sensing
Analysis of pulmonary sequestration cases, based on the 11-year birth defects surveillance data of Changsha hospitals
Study on the evolution law of the ‘Butterfly-type’ plastic zone in the surrounding rock of deep dynamic pressure roadway
Study on transportation and stress distribution of the overburden rock of gob side entry with cutting top and unloading pressure
More than 40% of postdocs leave academia, study reveals
Highly sensitive persons feel more emotionally lonely than the general population
Abstract This study aimed to investigate the relationship between sensory processing sensitivity (SPS), emotional and social loneliness and social isolation. Data were collected from September 2022 to May 2023 on a sample of 3247 participants aged 18 to 80 (mean age = 31.9 years ± 13.2; 66.2% female). We measured SPS using the Sensory Processing Sensitivity Questionnaire (SPSQ), loneliness using the De Jong Gierveld Loneliness Scale (DJGLS), and social isolation, Neuroticism and Extraversion with the Big Five Inventory. Data analysis was performed using linear regression, binary logistic regression, the t-test, the Chi-square test and ANOVA. In our study, lower SPS was observed especially among men, pensioners and graduates of secondary vocational schools. SPS was associated with emotional loneliness (t = 4.276; b = 0.074; adjusted R2 = 0.181; p < 0.001), but no significant relationship was found between SPS and social loneliness. SPS is associated with higher emotional but not social loneliness or social isolation. Highly Sensitive Persons (HSPs) appear to have a higher need for intimacy and understanding in close relationships, which is essential to know for them, their friends, families and therapists.