Results 251 to 260 of about 132,461 (307)
BMEMat, EarlyView.This Perspective explores the emerging landscape of cell membrane‐coated nanoparticles (CM‐NPs) as intelligent, immune‐compatible platforms for cancer therapy. Highlighting design strategies, translational challenges, and competitive positioning, it outlines how integrating biomimetic targeting with advanced analytical and manufacturing tools could ...
A. K. M. M. Alam +4 more
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BMEMat, EarlyView.Organic field‐effect transistor (OFET)‐based biosensors are promising for wearable technology due to their flexibility and low cost, but their susceptibility to signal drift from mechanical stress and environmental factors remains a challenge. Here, we highlight a novel strategy that eliminates these drifts through a fundamental redesign of the OFET ...
Yan Xu, Bin Yao, Jiahe Wang, Yichun Ding
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Genome assembly of Medicago truncatula accession SA27063 provides insight into spring black stem and leaf spot disease resistance. [PDF]
BMC GenomicsBotkin JR +3 more
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Biological Diversity, EarlyView.Density estimates of two endangered rodent subspecies, endemic to Key Largo, Florida, USA. These findings illustrate the contrasting dynamics of two native species associated with the prevalence of invasive Burmese pythons and global change. The woodrats' decline emphasizes its potential risk of extinction as global change continues to impact island ...
Shauna M. Sayers +5 more
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The power of many: when genetics met yeasts and high‐throughput
Biological Reviews, EarlyView.ABSTRACT In recent years, complex technological capabilities have evolved, driven by the need to solve complex and integrative biological questions through global analyses. New equipment allows the scaling up and automation of processes which previously were carried out on a very limited scale.
Víctor A. Tallada, Víctor Carranco
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Isolation and Identification of <i>Alternaria alternata</i> from Potato Plants Affected by Leaf Spot Disease in Korea: Selection of Effective Fungicides. [PDF]
J Fungi (Basel)Park J +10 more
europepmc +1 more source
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Leaf Spot Attention Network for Apple Leaf Disease Identification
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020Although new deep learning approaches have recently been introduced for leaf disease identification, existing deep learning models such as VGG and ResNet have been used previously. Therefore, a new deep learning architecture is proposed to consider the leaf spot attention mechanism. The primary idea is that leaf disease symptoms appear in the leaf area,
Hee-Jin Yu, Chang-Hwan Son
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Leaf spot diseases on lucerne cultivars
New Zealand Journal of Crop and Horticultural Science, 1980Six lucerne cultivars were assessed for the Incidence of leaf spot on autumn growth in flood irrigation trials. Common leaf spot, caused by Pseudopeziza medicaginis , and the most prevalent disease, and cultivars were divided into 3 groups depending on their resistance to it.
I. C. Harvey, R. J. Martin
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Resistance to multiple leaf spot diseases in wheat
Euphytica, 2007Tan spot (TS), Stagonospora nodorum blotch (SNB), and Septoria tritici blotch (STB) are three major leaf spot diseases of wheat worldwide. Host plant resistance (HPR) is one of the main components in the management of these diseases in wheat. The objective of this study was to identify new sources of resistance to TS (races 1 and 5), SNB, and STB.
S. Ali +4 more
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