Results 181 to 190 of about 62,553 (227)

Polymerase Chain Reaction. Perturbation Theory and Machine Learning Artificial Intelligence‐Experimental Microbiome Analysis: Applications to Ancient DNA and Tree Soil Metagenomics Cases of Study

Advanced Intelligent Systems, EarlyView.
The polymerase chain reaction (PCR).Perturbation Theory and Machine Learning framework integrates perturbation theory and machine learning to classify genetic sequences, distinguishing ancient DNA from modern controls and predicting tree health from soil metagenomic data.
Jose L. Rodriguez, Estefania Ascencio, Jose M. Ageitos, Lucia Feijoo, Shan He, Amirreza Daghighi, Gerardo M. Casanola‐Martin, Cristian R. Munteanu, Santiago Rodriguez Yañez, Alejandro Pazos, Harbil Bediaga, Brenda Durand Ordiales, Raquel Esteban, Ana‐Maria Heres, Jorge Curiel Yuste, Lur Epelde, Bakhtiyor Rasulev, Tomas Gonzalez, Sonia Arrasate, Humberto González‐Diaz   +19 more
wiley   +1 more source

Genomic characterization of novel bat kobuviruses in Madagascar: Implications for viral evolution and zoonotic risk. [PDF]

PLoS One
Gonzalez FL, Kettenburg G, Ranaivoson HC, Andrianiaina A, Andry S, Raharinosy V, Randriambolamanantsoa TH, Lacoste V, Dussart P, Héraud JM, Brook CE.   +10 more
europepmc   +1 more source

Design Challenges to Expand the Functionality of Drones: Deformable Rotorcraft and Nature‐Inspired Flapping Drones

Advanced Intelligent Systems, EarlyView.
This review systematically analyzes deformable drones, including extendable, foldable, and tilting configurations, along with nature‐inspired flapping rotorcraft. By classifying deformation principles and structural mechanisms, design trade‐offs, functional capabilities, and future development potential are highlighted.
Ju‐Hee Lee, Sumin Jung, Jinwoo Jang, Yeji Han, Minchae Kang, Jihun Seong, Suyeon Seo, Eunsol Park, Haesol Kwak, Min‐Woo Han   +9 more
wiley   +1 more source

Meta-Analysis and Experimental Evidence Reveal No Impact of Nosema ceranae Infection on Honeybee Carbohydrate Consumption. [PDF]

Microb Ecol
Ostap-Chec M, Antoł W, Bajorek D, Berbeć E, Moroń D, Rapacz M, Miler K.   +6 more
europepmc   +1 more source

Context‐Aware Semiautonomous Control for Upper‐Limb Prostheses

Advanced Intelligent Systems, EarlyView.
A semiautonomous prosthetic control strategy integrates electromyographic‐based intention with computer vision‐driven grasp adaptation and wrist orientation. Comparative experiments with functional tasks evaluate performance, usability, and cognitive workload.
Gianmarco Cirelli, Enrica Stefanelli, Roberto Billardello, Christian Tamantini, Silvia Leonelli, Loredana Zollo, Luigi Pietro Cordella, Francesca Cordella   +7 more
wiley   +1 more source

Discovery of an ancient Himalayan birch mouse lineage illuminates the evolution of the family Sicistidae (Rodentia: Dipodoidea), with descriptions of a new genus and two new species. [PDF]

Zool Res
Zhu ZX, Li Q, Song WY, Li XY, Lissovsky A, Wang MY, Pei XX, Luo K, Luo J, Pu MJ, Pu CZ, Wang HJ, Liu Z, Chen ZZ, Jiang XL.   +14 more
europepmc   +1 more source

Worm‐Inspired Soft Robots With Modular Outfit‐Changing for Intelligent Multienvironment Adaptation

Advanced Intelligent Systems, EarlyView.
This study proposes a worm‐inspired soft robot capable of locomotion across multiple environments through a modular “outfit‐changing” strategy. The robot integrates pneumatically actuated peristaltic segments with interchangeable external modules, enabling efficient motion on ground surfaces, within pipelines, through granular media, and underwater ...
Xiaomin Liu, Heng Wei, Zhengxin Guo, Zheng Liu, Yi Jin, Yunwei Zhao, Changyong Chase Cao   +6 more
wiley   +1 more source

Comparative analysis of optional hunting behavior in Cricetinae hamsters using the data compression approach. [PDF]

Front Zool
Levenets J, Panteleeva S, Reznikova Z, Gureeva A, Kupriyanov V, Feoktistova N, Surov A.   +6 more
europepmc   +1 more source

Deep Learning Methods for Assessing Time‐Variant Nonlinear Signatures in Clutter Echoes

Advanced Intelligent Systems, EarlyView.
Motion classification from biosonar echoes in clutter presents a fundamental challenge: extracting structured information from stochastic interference. Deep learning successfully discriminates object speed and direction from bat‐inspired signals, achieving 97% accuracy with frequency‐modulated calls but only 48% with constant‐frequency tones. This work
Ibrahim Eshera, Gaurav Duggal, Rolf Müller   +2 more
wiley   +1 more source

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process. [PDF]

PLoS Comput Biol
Bateux Q, Koss J, Sweeney PW, Edwards E, Rios N, Dollar AM.   +5 more
europepmc   +1 more source