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The increasing demand for searching highly efficient and robust technologies in the context of sustainable energy production totally rely onto the cost-effective energy efficient production technologies. Solar power technology in this regard will perceived to be extensively employed in a variety of ways in the future ahead, in terms of the combustion of petroleumbased pollutants, CO 2 reduction, heterogeneous photocatalysis, as well as the formation of unlimited and sustainable hydrogen gas production. Semiconductor-based photocatalysis is regarded as potentially sustainable solution in this context. g-C 3 N 4 is classified as non-metallic semiconductor to overcome this energy demand and enviromental challenges, because of its superior electronic configuration, which has a median band energy of around 2.7 eV, strong photocatalytic stability, and higher light performance. The photocatalytic performance of g-C 3 N 4 is perceived to be inadequate, owing to its small surface area along with high rate of charge [a] A

Background During the COVID-19 pandemic, cellphone health apps and virtual reality fitness for treating neurological disorders such as Parkinson’s were beneficial. Virtual reality has been used to treat PTSD, depression, anxieties, dementia, ADHD, dyslexia, and pain control in various settings. Virtual reality exercise has been studied for its effects on biological, mental, rehabilitation, behavior, and attitude management. Purpose This research aimed to find out the role of virtual reality fitness (VRF) for behavior management during the COVID-19 pandemic concerning the demographic characteristics of the study participants and the use of fitness and health apps. Methods The population for the current study was Chinese residents across China who were in home isolation during the early pandemic in China. According to the study objective, a convenience sampling method was used to collect the primary data through an online survey. SPSS-25 statistical software was used to analyze the demographic information and clean and prepare the data to test all proposed hypotheses. The proposed research framework was examined using the structural equation modeling (SEM) approach through SmartPLS 3.0 software. Results The structural equation model analysis shows that all the proposed hypotheses (H1: β = 0.137, t = 10.454, p = <0.000; H2: β = 0.256, t = 16.824, p = <0.000; H3: β = 0.418, t = 27.827, p = <0.000; H4: β = 0.133, t = 8.913, p = <0.000; H5: β = 0.076, t = 4.717, p = <0.000; H6: β = 0.162, t = 10.532, p = <0.000; H7: β = 0.384, t = 26.645, p = <0.000) are confirmed. Conclusion Fitness and health apps with virtual reality fitness play a substantial role in improving the overall quality of life and positively influencing behavior and attitude.

Present study was planned on the basis of prior field survey with main objective to determine concentrations of selected metals temporally (winter, spring, summer) in the industrial waste sediments, accumulate and enrich in the soils of Gujranwala city. Initially, physiochemical properties of samples pH (>8) colour (grey to black), odour (phenolic) and textures (amorphous to granular) were studied. Moisture contents 0.15-31% with RSD 0.17-16.87 shows variation because of seasonal effect. Overall, ICP-OES analysis reveals concentrations of thirteen selected metals in the range 0.40-379200 mg/kg with lowest of Ag and highest of Al. Statistically, RMANOVA was applied to reveal significant variations within the metals and between the seasons, showing significant metals effect seasonally. Environmental risk was estimated using geo-accumulation index and enrichment factor comparing reference crustal values (Bn) of metals in soil and Fe as reference metal. Aluminium accumulates very strongly and contaminate the soils more than Fe having no contamination in soil. Enrichment factor of Al also found highest indicating the highest enrichment level in the top soil. Overall, Fe and Al among thirteen elements found highest in quantity in the soil samples establishing significant impact in the soil due to their higher concentration. Finally, estimations are supporting the conclusion that metals may have a significant effect in soils where industrial waste is disposed.