Results 171 to 180 of about 398,272 (314)

Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology

Advanced Intelligent Discovery, EarlyView.
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh, Raiyan Siddique, Sarah S. Sharif, Yaser Mike Banad   +3 more
wiley   +1 more source

Life Identification Numbers: A strain nomenclature approach to aid epidemiological surveillance of bacterial pathogens. [PDF]

PLoS Biol
Palma F, Hennart M, Jolley KA, Crestani C, Wyres KL, Bridel S, Yeats CA, Brancotte B, Raffestin B, David S, Lam MMC, Izdebski R, Passet V, Rodrigues C, Rethoret-Pasty M, Combary A, Cottis S, Maiden MCJ, Aanensen DM, Holt KE, Criscuolo A, Brisse S.   +21 more
europepmc   +1 more source

Progress in the taxonomy and phylogeny of trichodinids

, 2007
Trichodinids (Ciliophora: Peritrichida) are one of the most common parasitic ciliates which can cause serious diseases in aquaculture animals of both marine and freshwater environments.
Yu Yu-he (yhyu@ihb.ac.cn), Yu Yu-he, Chinese Acad Sci, Inst Hydrobiol, Lab Taxon and Ecol Protozoa, Wuhan 430072, Peoples R China, Peoples R China, Gong Ying-chun   +3 more
core  

Artificial Intelligence‐Driven Network Pharmacology: A Methodological Paradigm Shift Bridging Traditional Wisdom and Modern Science

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang, Sile Hu, Rigahai Ji, Riguna A, Siqige Hao, Ma Zhuo, Yi‐Hung Chen, Bisihalatu Hu, Ulana Bai, Xigui Hada   +9 more
wiley   +1 more source

TaxaScope: a container-native, visualization-centric workstation for genome-based bacterial taxonomy. [PDF]

Front Microbiol
Peng Y, Jiang Y, Lee YJ, Lee JH, Kim CY, Lee J.   +5 more
europepmc   +1 more source

Ecological Taxonomy [PDF]

Science, 1952
openaire   +2 more sources

Keys to soil taxonomy /

Shipping list no.: 2004-0239-P."The ninth edition of the Keys to soil taxonomy incorporates all changes approved since the publication of the second edition of Soil taxonomy (1999)"--Foreword.Includes bibliographical references and index.Mode of access ...
United States. Natural Resources Conservation Service.
core  

An Attention‐Assisted Machine Learning System for Deep Microorganism Image Classification

Advanced Intelligent Systems, EarlyView.
An attention‐assisted DenseNet201 framework was developed for the classification of eight microorganism classes from microscopic images. The proposed model improved classification performance and achieved an accuracy of 87.38%. Advances in microbiology and environmental health fundamentally depend on precise and timely microorganism identification ...
Yujie Li, Ailing Gao, Guoxu Liu, Chunlei Chen, Yonghui Zhang, Sunkyoung Kang, M. Khosravi   +6 more
wiley   +1 more source

KEGG Syntax for comparison of organisms, organism groups, and viruses by conserved gene repertoires. [PDF]

Protein Sci
Kanehisa M, Sato Y.
europepmc   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source