Results 161 to 170 of about 58,799 (221)

Machine Learning‐Driven Nanopore Sensing for Quantitative, Label‐Free miRNA Detection

Small Methods, EarlyView.
Nanopore sensors combined with DNA‐barcoded probes enable detection of multiple biomarkers in parallel at the single‐molecule level through characteristic delays in ionic current signals. Three analytical strategies are compared: moving standard deviation, spectral entropy, and a convolutional neural network (CNN). The CNN achieves superior sensitivity
Caroline Koch, Seshagiri Sakthimani, Victoria Maria Noakes, Miruna Cretu, David Newman, Richard Gutierrez, Mark Bruce, Julia Gorelik, Nadia Guerra, Joshua B. Edel, Aleksandar P. Ivanov   +10 more
wiley   +1 more source

Assessing urban community parks from an age-friendly perspective: a multi-criteria decision-making approach. [PDF]

Front Public Health
Dong W, Sun S, Fu Y.
europepmc   +1 more source

Impact of half‐joint failures on RC girder bridges: A robustness quantification study

Structural Concrete, EarlyView.
Abstract The robustness of bridge structures is critical to ensuring safety and service continuity, particularly in aging infrastructure exposed to degradation and unexpected loads. Reinforced concrete (RC) half‐joint bridges—widely built in Italy between the 1950s and 1970s—exhibit specific vulnerabilities due to inspection challenges, durability ...
Paolo Martinelli, Matteo Colombo
wiley   +1 more source

Large Language Models and 3D Vision for Intelligent Robotic Perception and Autonomy. [PDF]

Sensors (Basel)
Mehta V, Sharma C, Thiyagarajan K.
europepmc   +1 more source

Phylogeny, species delimitation and machine learning bridge the gap between DNA sequences and morphology in the lichen genus Arctomia (Arctomiaceae, Ascomycota)

TAXON, EarlyView.
Abstract This study investigates species boundaries in the lichen genus Arctomia (Arctomiaceae, Ascomycota) using an integrative approach combining molecular phylogenetics, full Bayesian population delimitation, heuristic and model‐based species delimitation, and supervised machine learning applied to morphological data.
Stefan Ekman, Måns Svensson, Martin Westberg   +2 more
wiley   +1 more source

Deep learning-based embedding of functional connectivity profiles for precision functional mapping. [PDF]

Imaging Neurosci (Camb)
Tu JC, Kim JH, Lu C, H Luckett P, Adeyemo B, Shimony JS, Elison JT, Eggebrecht AT, Wheelock MD.   +8 more
europepmc   +1 more source

Changes of Potential Suitable Areas for Lynx Under Climate Change in Mohe Area, Daxing'anling Mountains, China

Wildlife Letters, EarlyView.
Climate change drives shifts in suitable habitats for Eurasian lynx and its prey (hare, roe deer) in Mohe, Daxing'anling Mountains. Under RCP scenarios, moderate warming (RCP4.5) promotes substantial habitat expansion, while high‐emission conditions (RCP8.5) lead to strong expansion in the 2050s but slower gains and partial contraction by the 2070s ...
Binglian Liu, Dan Ju, Hong Chen, Qi Qi, Geng Liu, Shaochun Zhou   +5 more
wiley   +1 more source

Task-relevant cognitive maps in episodic memory

Rau EM, Heinen R, Herweg NA, Patai EZ, Kobelt M, Ahmadi K, Axmacher N.   +6 more
europepmc   +1 more source

Group-theoretic analysis of symmetry-preserving deployable structures and metamaterials. [PDF]

Philos Trans A Math Phys Eng Sci
Chirikjian GS.
europepmc   +1 more source

A structural similarity based data-mining algorithm for modeling multi-reactant heterogeneous catalysts. [PDF]

Chem Sci
Zeng J, Gui J, Deshpande S.
europepmc   +1 more source