Results 231 to 240 of about 213,960 (304)

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

An Fe(II)-catalyzed synthesis of spiro[indoline-3,2'-pyrrolidine] derivatives. [PDF]

Beilstein J Org Chem
Gradova EV, Ozhegov NA, Shcherbakov RO, Tkachenko AG, Nesterova LY, Mendogralo EY, Uchuskin MG.   +6 more
europepmc   +1 more source

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

Development and characterization of pNarsenic: a naringenin-inducible biosensor for arsenic in Escherichia coli. [PDF]

Synth Biol (Oxf)
Crabbe V, Unal E, De Graeve S, Guerra DG, Peeters T, de Buyl S, Peeters E, Bervoets I.   +7 more
europepmc   +1 more source

Impact of Biomimetic Pinna Shape Variation on Clutter Echoes: A Machine Learning Approach

Advanced Intelligent Systems, EarlyView.
Bats with dynamic ear structures navigate dense, echo‐rich environments, yet the echoes they receive are highly random. This study shows that machine learning can reliably detect structural signatures in these seemingly chaotic biosonar signals. The results open new directions for biologically inspired sensing, where time‐varying receiver shapes ...
Ibrahim Eshera, Sanmeel Lagad, Rolf Müller   +2 more
wiley   +1 more source

Genome-resolved surveillance and predictive ecological risk modeling of urban microbiomes. [PDF]

Microbiome
Aminu S, Ascandari A, Mokhtar MM, Allali AE, Benhida R, Daoud R.   +5 more
europepmc   +1 more source

Automated Discovery of Multicellular Behavior for Optimized Plant Growth and Climate Resilience

Advanced Intelligent Systems, EarlyView.
An automated robotic system is described for rapid scientific experimentation with multicellular organisms. By enhancing a robotic liquid handler with a custom developed deep learning algorithm and camera module, samples and data are prepared with minimal human intervention.
Mark A. DeAngelis, Philip R. LeDuc, Warren C. Ruder   +2 more
wiley   +1 more source

Circular economy through integrated industrial ecology: Innovations in resource recovery and process re-design. [PDF]

Biotechnol Notes
Geetha R.
europepmc   +1 more source

Phylogenomics, ecomorphological evolution, and historical biogeography in Deuterocohnia (Bromeliaceae: Pitcairnioideae)

American Journal of Botany, EarlyView.
Abstract Premise Species of Deuterocohnia (17 spp.) show extraordinary variation in elevation (0–3900 m a.s.l.) and growth forms, and many have narrow geographic distributions in the west‐central Andes and the Peru‐Chile coast. Previous research using few plastid and nuclear loci failed to produce well‐resolved or supported phylogenies.
Bing Li, Nicole Schütz, Kurt Weising, Georg Zizka, Jacob B. Landis, Thomas J. Givnish   +5 more
wiley   +1 more source