Summary of the literature review on ALBP/UALBP. by Panfei Li (22379086)

“…This paper introduces the Circular Assembly Line Balancing Problem with Task-Splitting (CALBP-TS), a novel NP-hard optimization challenge characterized by closed-loop topology, station revisitation, fixed-position machines, and collaborative task execution. …”

Image 2_AI-driven innovation in antibody-drug conjugate design.jpeg by Heather A. Noriega (21604514)

“…This review is organized into six sections: (1) the progression from traditional modeling approaches to AI-driven design of individual ADC components; (2) the application of deep learning (DL) to antibody structure prediction and identification of optimal conjugation sites; (3) the use of AI/ML models for forecasting pharmacokinetic properties and toxicity profiles; (4) emerging generative algorithms for antibody sequence diversification and affinity optimization; (5) case studies demonstrating the integration of computational tools with experimental pipelines, including systems that link in silico predictions to high-throughput validation; and (6) persistent challenges, including data sparsity, model interpretability, validation complexity, and regulatory considerations. …”

Image 1_AI-driven innovation in antibody-drug conjugate design.jpeg by Heather A. Noriega (21604514)

“…This review is organized into six sections: (1) the progression from traditional modeling approaches to AI-driven design of individual ADC components; (2) the application of deep learning (DL) to antibody structure prediction and identification of optimal conjugation sites; (3) the use of AI/ML models for forecasting pharmacokinetic properties and toxicity profiles; (4) emerging generative algorithms for antibody sequence diversification and affinity optimization; (5) case studies demonstrating the integration of computational tools with experimental pipelines, including systems that link in silico predictions to high-throughput validation; and (6) persistent challenges, including data sparsity, model interpretability, validation complexity, and regulatory considerations. …”

This Figure shows the flow of information between components when running a simulation. by Till Köster (11287803)

Contact sequences used in the analysis. by Lucille Calmon (20405053)

“…To illustrate the interest of such an algorithm, we then simulate the spread of SARS-CoV-2 on our synthetic contacts using an agent-based model specific to the school setting. …”

Recursive-Expansive Dynamics Frameworks Formalization with Negation Isolation and Inverse Zero Operators by Del Bel, Julian (21403013)

Active Control of Laminar and Turbulent Flows Using Adjoint-Based Machine Learning by Xuemin Liu (20372739)

“…The end-to-end sensitivities for optimization are computed using adjoints of the governing equations without restriction on the terms that may appear in the objective function, which we construct using algorithmic differentiation applied to the flow solver. …”

Communication-Efficient Distributed Sparse Learning with Oracle Property and Geometric Convergence* by Weidong Liu (444731)

“…In terms of computational efficacy, our algorithm exhibits a geometric convergence rate within each middle loop. …”

Dataset for "<b>Active Learning Identifies Sulfur-Based Enhancers for Fe(III)-Protoporphyrin Catalysis: Recapitulating Features of Natural Oxidase and Beyond</b>" by Cheng Wang (12254426)

“…Notably, although sequence optimization began from random inputs, the algorithm quickly converged on cysteine-containing motifs, consistent with features found in natural oxidases. …”

Molecular modeling and SEC analysis of CAR and CD46 binding. by A. Manuel Liaci (20642831)

“…The HAdV-D36 DG loop is located proximally in front of CD46 (dark gray) and would likely interfere with CD46 binding without producing direct clashes. …”

Landscape17 by Vlad Carare (22092515)

“…The alignment is not deterministic when permutations are included, and employs a shortest augmenting path algorithm inside an iterative loop. Distinct stationary points were distinguished by a root mean square distance threshold greater than 0.3 Å and energy differences exceeding 10⁻³ eV. …”

Data Sheet 1_Patterns of inflammation and immune activation by coreceptor use in people living with HIV-1.docx by Francisco Xavier Guerra-Castillo (12716057)

“…</p>Results<p>Ninety-eight individuals had high-quality V3 loop sequences, 81.6% harbored only R5 variants (R5 group), while 18.4% had mixed R5/X4 populations (X4 group). …”

A multi-paradigm and longitudinal EEG dataset including the “sixth-finger” and “affected-hand” motor imagery of stroke patient by Zhuang Wang (22542833)

“…<p dir="ltr">Motor imagery-based Brain-computer Interface (MI-BCI) application in stroke rehabilitation aims to match brain activity with real-time feedback, thereby establishing closed-loop neural pathways and providing a basis for evaluating patients’ neuroplasticity changes. …”

Image2_A young child formula supplemented with a synbiotic mixture of scGOS/lcFOS and Bifidobacterium breve M-16V improves the gut microbiota and iron status in healthy toddlers.pd... by Charmaine Chew (9739238)

Image1_A young child formula supplemented with a synbiotic mixture of scGOS/lcFOS and Bifidobacterium breve M-16V improves the gut microbiota and iron status in healthy toddlers.pd... by Charmaine Chew (9739238)

Table3_A young child formula supplemented with a synbiotic mixture of scGOS/lcFOS and Bifidobacterium breve M-16V improves the gut microbiota and iron status in healthy toddlers.xl... by Charmaine Chew (9739238)

Image4_A young child formula supplemented with a synbiotic mixture of scGOS/lcFOS and Bifidobacterium breve M-16V improves the gut microbiota and iron status in healthy toddlers.pd... by Charmaine Chew (9739238)

Datasheet1_A young child formula supplemented with a synbiotic mixture of scGOS/lcFOS and Bifidobacterium breve M-16V improves the gut microbiota and iron status in healthy toddler... by Charmaine Chew (9739238)

Image3_A young child formula supplemented with a synbiotic mixture of scGOS/lcFOS and Bifidobacterium breve M-16V improves the gut microbiota and iron status in healthy toddlers.pd... by Charmaine Chew (9739238)

Figures and Tables by Divya C D (22799186)

“…Robots Comput. Vision XXXI: Algorithms and Techniques, Burlingame, CA, USA, Jan. 23–24, 2012.…”