Battery parameters. by Peijian Jin (22265437)

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The aging parameters of each group of batteries. by Peijian Jin (22265437)

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Minimal data set. by Peijian Jin (22265437)

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Experimental lithium-ion batteries. by Peijian Jin (22265437)

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Schematic diagram of two time intervals. by Peijian Jin (22265437)

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Label-Free Quantitative Proteomic Analysis Reveals the Effects of Biogenic Silver Nanoparticles on Fusarium keratoplasticum and Their Therapeutic Potential in Galleria mellonella L... by Glaucia Rigotto-Caruso (22057974)

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Oxamate reduces cell viability, LDHA expression, and LDH activity in A549 and NCL-H1975 cells, enhancing the cytotoxic effect of LBP. by Siyu Yuan (7425719)

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Demographic and clinical characteristics of the participants used to estimate effectiveness of the different vaccination schemes during the Omicron BA.4/BA.5 variant wave. by Rima Moghnieh (679199)

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Demographic and clinical characteristics of the participants used to estimate effectiveness of the different vaccination schemes during the Omicron BA.1/BA.2 variant wave. by Rima Moghnieh (679199)

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Comparison of absolute and relative errors. by Lahoucine Tadoummant (21647670)

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Rate of convergence for relative errors. by Lahoucine Tadoummant (21647670)

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(a) Absolute error of the example 3, Y(x,y) for scale level ranging from 2 to 7. by Lahoucine Tadoummant (21647670)

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(a) Comparison of the approximate solution with the exact solution for the example 1. by Lahoucine Tadoummant (21647670)

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Approximate Y(x,y) for different value of and for test problem 3. by Lahoucine Tadoummant (21647670)

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(a) Comparison of the approximate solution with the exact solution for the example 2. by Lahoucine Tadoummant (21647670)

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(a) Comparison of the approximate solution X(x,y) with the exact solution of the problem 3. by Lahoucine Tadoummant (21647670)

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Approximate X(x,y) for different value of and for test problem 3. by Lahoucine Tadoummant (21647670)

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(a) Absolute error of the example 3, X(x,y) for scale level ranging from 2 to 7. by Lahoucine Tadoummant (21647670)

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Detection effect of different sizes. by Bo Tong (2138632)

“…Experimental results indicate that at a pruning level of 1.5, mAP@0.5 and mAP@0.5:0.95 improved by 3.9% and 4.6%, respectively, while computational load decreased by 21% and parameter count dropped by 53%. …”

Effects of increasing amounts of gravel on escape latency and aversiveness of gravel. by Ella R. Dockendorf (21533334)

“…Over five trials, latency significantly decreased in the 20 and 40 g groups. *p < 0.05 refers to effect of trial and ****p < 0.0001 refers to effect of group. …”