CRISPRi-based functional genomic screening identifies genes essential for CH<sub>4</sub>-dependent growth in a methanotrophic bacterium. [PDF]
Henard JM +5 more
europepmc +1 more source
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
Science and Engineering Library Directors Dinner
Jeanne Boyle
doaj +1 more source
Correction: A systematic review of multimodal machine learning models for heart failure classification and prognosis prediction. [PDF]
Hoang MT, Chen Y, Slabaugh G, Aung N.
europepmc +1 more source
A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann +8 more
wiley +1 more source
Genome-Scale Engineering Importing Property of Escherichia coli for Improving Production of 3-Hydroxypropionic Acid. [PDF]
Kim S, Sung J, Lim GY, Jung GY, Lim HG.
europepmc +1 more source
Do not let thermal drift and instrument artifacts deceive high‐temperature nanoindentation results. We compare classical Oliver–Pharr and automatic image recognition analyses across steels and a Ni alloy to quantify these effects. Accounting for artifacts reveals systematic softening with temperature, while Cr and Ni additions boost resistance ...
Velislava Yonkova +2 more
wiley +1 more source
A Systematic Review to Summarize and Critically Appraise Existing Phenotype Libraries Using Electronic Health Records. [PDF]
Mohammadi S +3 more
europepmc +1 more source
Optimization of the Production of Rubber Compounds Using Mathematical Models
Rubber compounds were mixed in a batch internal mixer, and symbolic regression was used to derive mathematical models linking recipe and process parameters to ram path, torque, and mixing quality (incorporation, dispersion, distribution). Subsequent optimization with evolutionary algorithms identified operating conditions that reduce specific energy ...
Anke Bardehle +7 more
wiley +1 more source
Improved Microplastic Identification from Simultaneously Collected Photothermal Infrared and Raman Spectra Using Multiview Conformal Prediction. [PDF]
Parham RL +7 more
europepmc +1 more source

