Heatmap showing the simulated output of the XOR circuit by Tamsir <i>et al</i>. [11]. by Fabricio Cravo (21387854)

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(a) System dynamics: schematic representation of all the reactions in the Tree model, which are aging, reproduction, color cycle, and competition. by Fabricio Cravo (21387854)

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Results obtained from the Bistable Gut Inflammation Detector model. by Fabricio Cravo (21387854)

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Simulation results for the phage communication circuit from Pathania <i>et al</i>. [5]. by Fabricio Cravo (21387854)

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Matching products with reactants for the example meta-reaction where S1 and S2 are distinct meta-species. by Fabricio Cravo (21387854)

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Simulation results of the quorum sensing circuit by Omar Din <i>et al</i>. [28]. by Fabricio Cravo (21387854)

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Jittered scatter box – plot of the absolute radiation volume received by the small bowel at different dose levels. by Qiong Zhou (169101)

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Results of quality assessments for APs and MPs. by Qiong Zhou (169101)

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Jittered scatter box – plot of the percentage of radiation volume received by the pelvic marrow at different dose levels. by Qiong Zhou (169101)

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Dose distributions for MP. by Qiong Zhou (169101)

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Comparison of dosimetric parameters between AP(RayStation) and MP(Monaco). by Qiong Zhou (169101)

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Initial template. by Qiong Zhou (169101)

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Jittered scatter box – plot of the percentage of radiation volume received by the Left femoral head at different dose levels. by Qiong Zhou (169101)

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AP_dose_data. by Qiong Zhou (169101)

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The workflow of the AP process. by Qiong Zhou (169101)

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Jittered scatter box – plot of the percentage of radiation volume received by the bladder at different dose levels. by Qiong Zhou (169101)

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Box plot and jitter scatter plot of the mean dose to the OARs. by Qiong Zhou (169101)

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Hybrid simulator using animal organs. by Takashi Kimura (178058)

Output datasets from ML–assisted bibliometric workflow in African phytochemical metabolomics research by Temitope Omogbene (18615415)

The results of ICA performed using PyNoetic. by Gursimran Singh (575288)

“…However, existing BCI frameworks face several limitations, including a lack of stage-wise flexibility essential for experimental research, steep learning curves for researchers without programming expertise, elevated costs due to reliance on proprietary software, and a lack of all-inclusive features leading to the use of multiple external tools affecting research outcomes. …”