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Healthy aging in neighborhoods of diversity across the life span (HANDLS): overcoming barriers to implementing a longitudinal, epidemiologic, urban study of health, race, and socioeconomic status.

Evans, M. K., Lepkowski, J. M., Powe, N. R., LaVeist, T., Kuczmarski, M. F., & Zonderman, A. B. (2010) · Digital Repository at the University of Maryland

TwiRGCN: Temporally Weighted Graph Convolution for Question Answering over Temporal Knowledge Graphs

Sharma, A., Saxena, A., Gupta, C., Kazemi, S. M., Talukdar, P., & Chakrabarti, S. (2022) · arXiv

Principles to Practices for Responsible AI: Closing the Gap

Schiff, D., Rakova, B., Ayesh, A., Fanti, A., & Lennon, M. (2020) · arXiv

Mitigating Bus Bunching with Reinforcement Learning Enhanced by Semantic Stop Embedding

Dong, X., & Gayah, V. V. (2026) · arXiv

CATP-LLM: Empowering Large Language Models for Cost-Aware Tool Planning

Wu, D., Wang, J., Meng, Y., Zhang, Y., Sun, L., & Wang, Z. (2024) · arXiv

SwarmHawk: Self-Sustaining Multi-Agent System for Landing on a Moving Platform through an Agent Supervision

Gupta, A., Dorzhieva, E., Baza, A., Alper, M., Fedoseev, A., & Tsetserukou, D. (2022) · arXiv

Dense Associative Memory for Pattern Recognition

Krotov, D., & Hopfield, J. J. (2016) · arXiv

A change in foraging success and cooperative hunting by a breeding pair of Peregrine Falcons and their fledglings

Dekker, D., & Taylor, R. (2005) · Raptor Research Foundation

Auditing Black-box Models for Indirect Influence

Adler, P., Falk, C., Friedler, S. A., Rybeck, G., Scheidegger, C., Smith, B., & Venkatasubramanian, S. (2016) · arXiv

MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Fu, C., Chen, P., Shen, Y., Qin, Y., Zhang, M., Lin, X., Yang, J., Zheng, X., Li, K., Sun, X., et al. (2023) · arXiv

Dynamic Provenance for SPARQL Update

Halpin, H., & Cheney, J. (2014) · arXiv

EvoTrustRAG: Evolution-Aware Conflict Attribution and Evidence Handling for Reliable Retrieval-Augmented Generation

Nie, X., Li, H., Wu, S., Fan, W., Song, Q., & Jiang, W. (2026) · arXiv

Learning Agile Quadrotor Flight in the Real World

Ren, Y., Zhu, Z., Xing, J., & Scaramuzza, D. (2026) · arXiv

Uncertainty Management in the Construction of Knowledge Graphs: A Survey

Jarnac, L., Chabot, Y., & Couceiro, M. (2025) · Schloss Dagstuhl – Leibniz-Zentrum für Informatik

Impact of COVID 19 on Doctoral and Early Career Researchers

Byrom, N., & Metcalfe, J. (2021) · figshare

Is Stack Overflow Obsolete? An Empirical Study of the Characteristics of ChatGPT Answers to Stack Overflow Questions

Kabir, S., Udo-Imeh, D. N., Kou, B., & Zhang, T. (2023) · arXiv

The Surveillance AI Pipeline

Kalluri, P. R., Agnew, W., Cheng, M., Owens, K., Soldaini, L., & Birhane, A. (2023) · arXiv

EcologicalNetworks.jl - analysing ecological networks of species interactions

Poisot, T., Bélisle, Z., Hoebeke, L., Stock, M., & Szefer, P. (2019) · Zenodo

Less is More: Recursive Reasoning with Tiny Networks

Jolicoeur-Martineau, A. (2025) · arXiv

Byte Latent Transformer: Patches Scale Better Than Tokens

Pagnoni, A., Pasunuru, R., Rodriguez, P., Nguyen, J., Muller, B., Li, M., Zhou, C., Yu, L., Weston, J., Zettlemoyer, L., et al. (2024) · arXiv

Symmetry Classification of Topological Photonic Crystals

De Nittis, G., & Lein, M. (2017) · arXiv

In-context learning agents are asymmetric belief updaters

Schubert, J. A., Jagadish, A. K., Binz, M., & Schulz, E. (2024) · arXiv

Baseline Defenses for Adversarial Attacks Against Aligned Language Models

Jain, N., Schwarzschild, A., Wen, Y., Somepalli, G., Kirchenbauer, J., Chiang, P.-Y., Goldblum, M., Saha, A., Geiping, J., & Goldstein, T. (2023) · arXiv

Glacial features of the Milan, Berlin, and Shelburne map areas of northern New Hampshire

Gerath, R. F. (1978) · McGill University