A qualitative assessment of using ChatGPT as large language model for scientific workflow development.

BACKGROUND: Scientific workflow systems are increasingly popular for expressing and executing complex data analysis pipelines over large datasets, as they offer reproducibility, dependability, and scalability of analyses by automatic parallelization on large compute clusters. However, implementing workflows is difficult due to the involvement of many black-box tools and the deep infrastructure stack necessary for their execution. Simultaneously, user-supporting tools are rare, and the number of available examples is much lower than in classical programming languages. RESULTS: To address these challenges, we investigate the efficiency of large language models (LLMs), specifically ChatGPT, to support users when dealing with scientific workflows. We performed 3 user studies in 2 scientific domains to evaluate ChatGPT for comprehending, adapting, and extending workflows. Our results indicate that LLMs efficiently interpret workflows but achieve lower performance for exchanging components or purposeful workflow extensions. We characterize their limitations in these challenging scenarios and suggest future research directions. CONCLUSIONS: Our results show a high accuracy for comprehending and explaining scientific workflows while achieving a reduced performance for modifying and extending workflow descriptions. These findings clearly illustrate the need for further research in this area.

[Iatrogenic retinal defects after intravitreal operative drug injections]. / Iatrogene Netzhautdefekte nach intravitrealer operativer Medikamenteneingabe.

BACKGROUND: Intravitreal operative drug injections represent one of the most frequently performed medical interventions. The risk profile is low. In addition to intraocular pressure elevation, the most frequent complications include exogenous endophthalmitis, vitreous hemorrhage and rhegmatogenous retinal detachment. Furthermore, isolated cases of lens injuries, macular holes associated with vitreoretinal traction and peripheral retinal defects have been described. In the present case series sharp iatrogenic macular and retinal defects are described. METHODS: Retrospective multicenter case collection of patients with iatrogenic retinal defects after intravitreal injections from 2016 to 2023. RESULTS: Iatrogenic retinal trauma after intravitreal injections for treatment of neovascular age-related macular degeneration was identified in 9 cases (72 years ± 8.1, 3 eyes pseudophakic). While sharp injuries within the macula occurred in six cases, extramacular lesions were detected in the other cases. CONCLUSION: Iatrogenic retinal and macular injuries are rare complications of intravitreal injections and when correctly carried out are preventable, especially with respect to use of cannulas and the choice of the distance from the limbus.

Unveiling patterns in human dominated landscapes through mapping the mass of US built structures.

Built structures increasingly dominate the Earth's landscapes; their surging mass is currently overtaking global biomass. We here assess built structures in the conterminous US by quantifying the mass of 14 stock-building materials in eight building types and nine types of mobility infrastructures. Our high-resolution maps reveal that built structures have become 2.6 times heavier than all plant biomass across the country and that most inhabited areas are mass-dominated by buildings or infrastructure. We analyze determinants of the material intensity and show that densely built settlements have substantially lower per-capita material stocks, while highest intensities are found in sparsely populated regions due to ubiquitous infrastructures. Out-migration aggravates already high intensities in rural areas as people leave while built structures remain - highlighting that quantifying the distribution of built-up mass at high resolution is an essential contribution to understanding the biophysical basis of societies, and to inform strategies to design more resource-efficient settlements and a sustainable circular economy.

Probing the Interface of a Phase-Separated State in a Repulsive Bose-Fermi Mixture.

We probe the interface between a phase-separated Bose-Fermi mixture consisting of a small Bose-Einstein condensate of ^{41}K residing in a large Fermi sea of ^{6}Li. We quantify the residual spatial overlap between the two components by measuring three-body recombination losses for variable strength of the interspecies repulsion. A comparison with a numerical mean-field model highlights the importance of the kinetic energy term for the condensed bosons in maintaining the thin interface far into the phase-separated regime. Our results demonstrate a corresponding smoothing of the phase transition in a system of finite size.