Results 201 to 210 of about 2,703,564 (307)

Branching hierarchy shapes branch-leaf allometry and trait coordination in mountain shrubs of Dongling Mountain, Beijing. [PDF]

AoB Plants
Li H, Zhong S, Jiang X, Zhang J.
europepmc   +1 more source

A Machine Vision‐Guided Microphysiological Platform With Automated Microfluidics Enables Longitudinal Biomarker Monitoring and Emulation of Translationally Relevant Exposure Scenarios

Advanced Science, EarlyView.
A pneumatically actuated multi‐tissue microphysiological system is integrated with AI‐based machine vision and automatic sampling and replenishment systems. The platform allows for the emulation of translationally relevant long‐term pharmacokinetic exposure scenarios for multiple weeks while enabling longitudinal monitoring of response biomarkers ...
Jibbe Keulen, Yi Zhong, Laura Dangel, Sonia Youhanna, Reza Zandi Shafagh, Jinhye Ryu, Domnica‐Gabriela Gurau, Mathias Haag, Thomas E. Mürdter, Yingxin Liang, Iro Beligiani, Nicole Ziegler, Sabine Willems, Nayere Taebnia, Wouter van der Wijngaart, Volker M. Lauschke   +15 more
wiley   +1 more source

Deep convolutional neural network-based automated identification and classification of mungbean foliar diseases. [PDF]

Front Artif Intell
Bala S, Harlapur SI, Kanade AK, Potdar MP, Balol GB, Kuligod VB, Rani LU.   +6 more
europepmc   +1 more source

Recent Advances in Carbon Cathode Materials toward High‐Performing Zinc‐Ion Hybrid Supercapacitors

Advanced Science, EarlyView.
Aqueous zinc‐ion hybrid supercapacitors (ZHSCs) have emerged as promising next‐generation electrochemical energy‐storage devices. Porous carbon materials have been extensively studied as cathodes, with advances in tailoring pore structures and material properties to enhance performance.
Take Hirooka, Zhaolin Liu, Ivan P. Parkin, Guanjie He   +3 more
wiley   +1 more source

Bistable Networks Enable Complex Shape Changes

Advanced Science, EarlyView.
Transition‐controlled metamaterials are networks of bistable mechanical memory that store local binary states and express them as global shape change. By decoupling low‐force programming from high‐force holding, a single lattice is reconfigured into distinct 2D profiles and 3D surfaces without continuous actuation, enabling reusable morphing materials ...
Sawyer Thomas, Jeffrey Lipton
wiley   +1 more source

CuFormer U-Net: a transformer-enhanced multi-task network for cucumber leaf disease detection and segmentation. [PDF]

Front Plant Sci
Omarov B, Ibrayev S, Imanbayeva N.
europepmc   +1 more source

Lipidomic Profile Reconstruction of Therapeutic Membrane Targets Using Physics‐Based Optimization with Limited Activity Data

Advanced Science, EarlyView.
Using a minimal set of experimentally labeled antimicrobial and non‐antimicrobial peptides, we reconstruct the effective lipid composition of a pathogenic membrane ‐demonstrated at the example of bacterial membranes‐ through a physics‐based evolutionary molecular dynamics (Evo‐MD) approach. Optimization based on peptide insertion reveals broad‐spectrum
Maximilian Krebs, Herre Jelger Risselada
wiley   +1 more source

EfficientNet-CBAM-prototype: an attention-guided EfficientNet framework with dynamic prototype representation for tomato disease classification. [PDF]

Front Plant Sci
Jansi E, Br K.
europepmc   +1 more source

Differential Tissue‐Coupled Powering for Battery‐Free Injectable Electroceuticals

Advanced Science, EarlyView.
A thread‐like injectable neural stimulator is powered through differential tissue‐coupled powering (DTCP), which harvests RF‐frequency tissue potentials with an elongated receiver while preserving a injectable cross‐section. The system integrates an ASIC, stimulation electrodes, and a portable transmitter, enabling wireless peripheral nerve stimulation,
Han Wu, Sultan Mahmud, Mali Halac, Asif Iftekhar Omi, Domenica Sofia Baez Rodas, Jeremiasz Dados, Chaojun Cheng, Anyu Jiang, Cameron Wallace, Anvi Singh, Erin Patrick, Baibhab Chatterjee, Shriya Srinivasan, Adam Khalifa   +13 more
wiley   +1 more source

Photosynthesis-informed breeding to enhance Soybean (Glycine max) yield potential: a framework integrating high-throughput phenomics, genomic prediction and G×E×M. [PDF]

Theor Appl Genet
Singh-Bakala H, Ravelombola F, Vieira CC, Rayaprolu L, Herritt M, Washburn JD, Zhang R, Lin F, Shannon G.   +8 more
europepmc   +1 more source