Results 51 to 60 of about 188,340 (288)

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Clinical decision support system using a machine learning model to assist simultaneous cardiopulmonary auscultation: Open-label randomized controlled trial

Digital Health
Background The utility of a clinical decision support system using a machine learning (ML) model for simultaneous cardiac and pulmonary auscultation is unknown. Objective This study aimed to develop and evaluate an ML system's utility for cardiopulmonary
Takanobu Hirosawa, Tetsu Sakamoto, Yukinori Harada, Kazuki Tokumasu, Taro Shimizu   +4 more
doaj   +1 more source

First Record of Zelus obscuridorsis (Hemiptera: Reduviidae) as a Predator of the South American Tomato Leafminer, Tuta absoluta (Lepidoptera: Gelechiidae) [PDF]

, 2014
The South American tomato leafminer Tuta absoluta (Meyrick) (Lepidoptera: Gelechiidae) is a Neotropical key pest of tomato in South America, and in recent years, it has become established in Europe and Africa. Recently we found the native true bug, Zelus
Luna, María Gabriela, Melo, María Cecilia, Speranza, Stefano, Virla, Eduardo Gabriel   +3 more
core   +1 more source

Automated Bacterial Identification and Morphological Feature Analysis in Low‐Dose Cryo‐EM Using YOLOv11

Advanced Intelligent Discovery, EarlyView.
AI‐based tools enable rapid characterization of bacterial ultrastructure in low‐dose cryogenic transmission electron microscopy. The envelope thickness tool quantifies membrane thickness and anisotropy. The flagella module analyzes filament morphology and detects cell‐flagella contacts.
Sita Sirisha Madugula, Lynnicia N. Massenburg, Spenser R. Brown, Amber N. Bible, Chanda R. Harris, Lance X. Zhang, Kiara Parker, Scott T. Retterer, Jennifer L. Morrell‐Falvey, Rama K. Vasudevan, Alexis N. Williams   +10 more
wiley   +1 more source

The Meta-Organism Response of the Environmental Generalist Pocillopora damicornis Exposed to Differential Accumulation of Heat Stress

Frontiers in Marine Science, 2021
Coral bleaching events in the marine environment are now occurring globally, and the frequency and severity of these events are increasing. Critically, these events can cause the symbiosis between Symbiodiniaceae and their coral hosts to break down, but ...
Jessica L. Bergman, William Leggat, Tracy D. Ainsworth   +2 more
doaj   +1 more source

A spatially explicit model for competition among specialists and generalists in a heterogeneous environment [PDF]

, 2006
Competition is a major force in structuring ecological communities. The strength of competition can be measured using the concept of a niche. A niche comprises the set of requirements of an organism in terms of habitat, environment and functional role ...
Lanchier, N., Neuhauser, C.
core   +1 more source

Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing

Advanced Intelligent Systems, EarlyView.
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian, Liuchao Jin, Qi Ge, Wei‐Hsin Liao, Andrés Díaz Lantada, Francisco Franco Martínez, Tianyu Zhang, Tao Liu, Charlie C. L. Wang, Mohammad Hossein Mosallanejad, Reza Ghanavati, Abdollah Saboori, Alejandro De Blas De Miguel, William Solórzano‐Requejo, Yi Cai, Xiangyang Dong, Huangyi Qu, Najmeh Samadiani, Guangyan Huang, Austin Downey, Yanzhou Fu, Lang Yuan, Tsz‐Kwan (Glory) Lee, Arbind Agrahari Baniya, Eisha Waseem, Abdul Rahman Sani, Abbas Z. Kouzani, Yijia Wu, Markus P. Nemitz, Masoud Shirzad, Dageon Oh, Seung Yun Nam, Amedeo Franco Bonatti, Irene Chiesa, Gabriele Maria Fortunato, Giovanni Vozzi, Carmelo De Maria, Mahdi Bodaghi   +37 more
wiley   +1 more source

Clinical background factors affecting outcomes of Helicobacter pylori eradication therapy in primary care

Journal of General and Family Medicine, 2019
Objective Few studies have reported the influence of clinical background factors on the outcome of Helicobacter pylori eradication therapy in primary care practice.
Nozomi Yokota, Ryusuke Ae, Masaki Amenomori, Koji Kitagawa, Takuya Nakamura, Tetsuro Yokota, Kato Masato, Teppei Sasahara, Yuri Matsubara, Koki Kosami, Yoshikazu Nakamura   +10 more
doaj   +1 more source

Do traits of plant species predict the efficacy of species distribution models for finding new occurrences?

Ecology and Evolution, 2020
Species distribution models (SDMs) are used to test ecological theory and to direct targeted surveys for species of conservation concern. Several studies have tested for an influence of species traits on the predictive accuracy of SDMs.
Jenny L. McCune, Hanna Rosner‐Katz, Joseph R. Bennett, Richard Schuster, Heather M. Kharouba   +4 more
doaj   +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