Results 211 to 220 of about 729,911 (289)

Corrigendum to "Investigating the Inflammatory Response to Exposure of Ultrafine TiO₂ Particulate Matter to HUVECs"<i>Biochemistry and Biophysics Rep.,</i> volume 45 (2026) 102426. [PDF]

Biochem Biophys Rep
Brunmaier LAE, Walker TW.
europepmc   +1 more source

Universally Accurate or Specifically Inadequate? Stress‐Testing General Purpose Machine Learning Interatomic Potentials

Advanced Intelligent Discovery, EarlyView.
We investigate MACE‐MP‐0 and M3GNet, two general‐purpose machine learning potentials, in materials discovery and find that both generally yield reliable predictions. At the same time, both potentials show a bias towards overstabilizing high energy metastable states. We deduce a metric to quantify when these potentials are safe to use.
Konstantin S. Jakob, Karsten Reuter, Johannes T. Margraf   +2 more
wiley   +1 more source

Nanopore direct RNA sequencing for RNA modification analysis: workflow assessment and computational tool benchmarking. [PDF]

Adv Biotechnol (Singap)
Wu Z, Li J, Xia R, Dai J, Su J, Meng J, Zhang Y.   +6 more
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Investigating the spatiotemporal links between the EVD outbreaks in Likati (2017) and Eastern DRC (2018-2020): a retrospective transdisciplinary study. [PDF]

BMC Infect Dis
Park SJ, Nkuba-Ndaye A, Muhindo-Wema K, Mulopo-Mukanya N, Kavira-Muhindo MA, Kwizera-Sendegeya J, Muloki-Nsele M, Morisho-Mungeleza M, Morisho-Mwanabiningo N, Mukadi-Bamuleka D.   +9 more
europepmc   +1 more source

Coal Mines Abandonment in Eastern Ukraine: Environmental Consequences [PDF]

, 2017
Guscha, Valeriia
core  

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

Host-specific leaf-mining behaviour of holometabolous insect larvae in the early Permian. [PDF]

Sci Rep
Laaß M, Luthardt L, Trümper S, Leipner A, Hauschke N, Rößler R.   +5 more
europepmc   +1 more source

Flexible Memory: Progress, Challenges, and Opportunities

Advanced Intelligent Discovery, EarlyView.
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan, Sen Chen, Minghui Guo, Ziliang Cui, Yujie Du, Jing Liu   +5 more
wiley   +1 more source

Adaptive multi-channel dehazing for enhanced visibility in underground coal mine images. [PDF]

PLoS One
Fan Y, Mao S, Li M, Yang B, Yang Y.
europepmc   +1 more source