Schematic diagram of the atomic function . by Xiang Tian (4369285)

Classical benchmark functions [39]. by Junhao Wei (6816803)

“…We also conducted a quantitative analysis of RWOA and compared its performance with other state-of-the-art (SOTA) metaheuristic algorithms. Finally, RWOA was applied to nine engineering design optimization problems to validate its ability to solve real-world optimization challenges. …”

the functioning of BRPSO. by Hossein Jarrahi (22530251)

PATH⁺ explains tighter binding of carbonic anhydrase II by brinzolamide. by Yuxi Long (11024307)

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An overview of PATH⁺. by Yuxi Long (11024307)

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The 10 features captured by persistence fingerprint. by Yuxi Long (11024307)

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^aTwo HIV-1 protease mutants bound to inhibitor darunavir (G48V: PDB ID 3cyw [81] & L90M: PDB ID 2f81 [82]). by Yuxi Long (11024307)

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Scatter plots of PATH⁺ and our implementation of TNet-BP’s predictions on a held-out, test subset of PDBBind v2020 refined set for one run (90:10 train:test split ratio,... by Yuxi Long (11024307)

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Two protein-ligand complexes shown with their persistence fingerprint. by Yuxi Long (11024307)

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PATH⁺ correctly predicted a weaker binding affinity for HIV-1 protease with the drug-resistant G48V mutation (right, experimental kcal/mol, PDB ID: 3cyw [81]) bound to d... by Yuxi Long (11024307)

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Visualization by PaCMAP [52] shows that persistence fingerprint clusters protein-ligand complexes with similar binding affinity reasonably well, even beyond the training dataset (P... by Yuxi Long (11024307)

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Performance of TNet-BP and PATH⁺ on the PDBBind v2020 refined set shows that PATH⁺ achieves similar performance with TNet-BP while having three orders fewer f... by Yuxi Long (11024307)

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Construction of internuclear persistence contours (IPCs). by Yuxi Long (11024307)

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Comparison of PATH⁺ with TNet-BP [43]. by Yuxi Long (11024307)

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Drug Release Nanoparticle System Design: Data Set Compilation and Machine Learning Modeling by Shan He (121220)

Results of power spectral density simulated by the Gillespie algorithm compared to that predicted by the Markov model for [Ru(bpy)₃]Br₂ fluorophores (N = 100)... by Nicholas H. Vitale (20469289)

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WSN optimized by different algorithms. by Qingwen Meng (156386)

“…This mechanism ensures that individuals that fail to update have a certain probability of being retained in the next generation population, while guaranteeing that the current global optimal solution remains unchanged, thereby accelerating the algorithm’s convergence. The ASBOA algorithm was evaluated using the CEC2017 and CEC2022 benchmark test functions and compared with other algorithms (such as PSO, GWO, DBO, and CPO). …”

Compare algorithm parameter settings. by Qingwen Meng (156386)

“…This mechanism ensures that individuals that fail to update have a certain probability of being retained in the next generation population, while guaranteeing that the current global optimal solution remains unchanged, thereby accelerating the algorithm’s convergence. The ASBOA algorithm was evaluated using the CEC2017 and CEC2022 benchmark test functions and compared with other algorithms (such as PSO, GWO, DBO, and CPO). …”

Anthropometric and functional measurements of the study participants. by Naiara Virto (20490408)

Mathematical expressions, weight functions, domains, and orthogonality conditions of various orthogonal polynomials. by Abeer Aljohani (18497914)

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