Results 201 to 210 of about 1,327,597 (288)

Development of a unified deep learning approach integrating CNN-based local and ViT-based global feature extraction for enhanced cotton disease and pest classification. [PDF]

Plant Methods
Dhruw LK, Tewari VK, Soni P, Chouriya A, Patidar P, Singh N.   +5 more
europepmc   +1 more source

CRISPR/Cas9‐Assisted Microrobots for Fast and Ultrasensitive “On‐The‐Fly” Next‐Generation DNA Detection

Advanced Functional Materials, EarlyView.
This work presents self‐propelled CRISPR/Cas9‐functionalized Au–MRs for rapid, amplification‐free, “on‐the‐fly” DNA detection. By harnessing motion‐assisted signal recovery, the platform achieved the limit of detection in low fM DNA concentrations, enabling detection across a wide dynamic range within only 5 min, which is significantly faster than any ...
Jyoti, Petr Michálek, Zbyněk Heger, Martin Pumera   +3 more
wiley   +1 more source

LungPanelNet: a machine learning-based approach for the early prediction and differentiation of non-small cell lung cancer. [PDF]

Front Oncol
Zhao L, Li M, Qi J, Wan L.
europepmc   +1 more source

Host‐Directed Biomaterials for Combatting Bloodstream Infections: From Macrocyclic Peptides to Immune‐Activating Cell Backpacks

Advanced Functional Materials, EarlyView.
Bloodstream infections (BSI) are one of the leading causes of mortality and morbidity in both civilian and military populations. This paper summarizes recent progress in novel treatment strategies to manage BSI arising from both bacterial and fungal pathogens using molecules, particles, and materials to elicit host‐directed immunity.
Thomas Thomou, Jagadish Krishnappa, Justin B. Schaal, Prasad Tongaonkar, Dat Q. Tran, Wenchao Gu, Yung‐Fu Chang, Michael E. Selsted, Shaoyi Jiang, Samir Mitragotri, Michael Super, Christopher J. Bettinger   +11 more
wiley   +1 more source

A hybrid machine vision and handcrafted features fusion based approach for fine-grained millet classification. [PDF]

Sci Rep
Baisakh B, Sethy PK, Gupta R, Behera SK, Nanthaamornphong A.   +4 more
europepmc   +1 more source

Electroactive Metal–Organic Frameworks for Electrocatalysis

Advanced Functional Materials, EarlyView.
Electrocatalysis is crucial in sustainable energy conversion as it enables efficient chemical transformations. The review discusses how metal–organic frameworks can revolutionize this field by offering tailorable structures and active site tunability, enabling efficient and selective electrocatalytic processes.
Irena Senkovska, Yutong Luo, Ruyan Zhao, Jianjun Zhang, Mingchao Wang, Xinliang Feng, Eike Brunner, Stefan Kaskel   +7 more
wiley   +1 more source

A transfer learning-based approach for automated bone fracture classification in X-ray imaging. [PDF]

Ther Adv Musculoskelet Dis
Bhuria R, Gupta S, Ghoniem RM, Singh J, Rani S, Taye BM, Bharany S.   +6 more
europepmc   +1 more source

Photoswitching Conduction in Framework Materials

Advanced Functional Materials, EarlyView.
This mini‐review summarizes recent advances in state‐of‐the‐art proton and electron conduction in framework materials that can be remotely and reversibly switched on and off by light. It discusses the various photoswitching conduction mechanisms and the strategies employed to enhance photoswitched conductivity.
Helmy Pacheco Hernandez, Stefan Hecht, Wolfgang Wenzel, Lars Heinke, Mariana Kozlowska   +4 more
wiley   +1 more source