An overview of the organization of the study program. by Marialuisa Gandolfi (8639238)

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Codes for high-order analytical continuation algorithms based on direct derivation and recursion methods by Jian Ma (19747060)

“…The high-order continuation receives far less attention than the one-order analytical continuation nowadays. This study delves into the high-order analytical continuation algorithm, with a particular focus on the computation of its high-order radial derivatives. …”

The_Code_for_High_Order_Analytical_Continuation by Jian Ma (19747060)

“…The high-order continuation receives far less attention than the one-order analytical continuation nowadays. This study delves into the high-order analytical continuation algorithm, with a particular focus on the computation of its high-order radial derivatives. …”

Computational Procedure of the Particle Swarm Optimization (PSO) algorithm. by Meijun Shang (22806461)

ML algorithms used in this study. by Toheeb Salahudeen (21368040)

“…Although the precise relationship with mitochondrial pathways remains elusive, recent advances in machine learning present an avenue for further investigation. This study employed advanced machine learning techniques to classify major depressive disorders based on clinical indicators and mitochondrial oxidative stress markers. …”

Main code. by Jingguo Bi (21439766)

Disparities in self-presentation of user’s preferences on algorithm matching. by Linsha Liu (20378293)

Overview of the development of the biomarkers in the motor, exteroceptive, interoceptive, and cerebral domains. by Marialuisa Gandolfi (8639238)

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The schedule of enrolment, interventions, and assessments. by Marialuisa Gandolfi (8639238)

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Review of recent relevant studies along with the present study. by Kuiyuan Pan (21145338)

Presents the comparative results of the ablation study. by Wenhao Ren (2561731)

Pseudo-code of large neighborhood search (<i>LNS</i>) algorithm. by Jiren CAO (20442214)

Chromosome coding. by Junjie He (700642)

Open-source code for the Spatial Optimization Model for Land Use (SSFLA-MLAS) by bowen pang (21837359)

“…<p dir="ltr">The open-source content is the source code of a land use spatial optimization model (SSFLA-MLAS) that couples the spatial leapfrog algorithm with multi-level multi-agent systems. …”

The ranking of algorithms with MPTM mutation by TOPSIS. by Jalal- ud-Din (21474307)

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The ranking of algorithms with NUM mutation by TOPSIS. by Jalal- ud-Din (21474307)

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The ranking of algorithms with PM mutation by TOPSIS. by Jalal- ud-Din (21474307)

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The workflow of the present study. by Kaiyi Zhou (2553352)

Visual line representation of algorithms with NUM mutation. by Jalal- ud-Din (21474307)

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Visual line representation of algorithm with PM mutation. by Jalal- ud-Din (21474307)

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