Results 201 to 210 of about 3,763,639 (307)

Diversity Patterns of Domestic Herbivore Viruses in China Reveal Transmission Dynamics with Disease Management Implications

open access: yesAdvanced Science, EarlyView.
This study performs pan‐viromic profiling of 14,529 samples from 5,710 domestic herbivores across five Chinese provinces, establishing the DhCN‐Virome (1,085,360 viral metagenomes). It reveals species/sample‐specific viromic signatures and cross‐species transmission dynamics, aiding unified disease control.
Yue Sun   +19 more
wiley   +1 more source

Multicohort Validation of Gut Microbiome Signatures for Cholangiocarcinoma Diagnosis and Functional Characterization of Bifidobacterium Pseudocatenulatum

open access: yesAdvanced Science, EarlyView.
This study analyzes gut bacteria in cholangiocarcinoma patients, revealing distinct microbial signatures that enable accurate disease detection. Species‐based diagnostic models achieved over 98% accuracy in identifying cholangiocarcinoma and distinguished it from other liver diseases. The research demonstrates that specific beneficial bacteria suppress
Benchen Rao   +18 more
wiley   +1 more source

Inflation Targeting in Developing Countries [PDF]

open access: yes
Ferya Kadioglu   +2 more
core  

Intracellular Aβ42 Sequestration by a Serine Protease Mitigates Neurotoxicity in a Drosophila Alzheimer's Disease Model

open access: yesAdvanced Science, EarlyView.
Emerging evidence suggests that intraneuronal Aβ accumulation represents an early pathogenic event in Alzheimer's disease (AD). Using Drosophila AD model, this study shows that a nonsecreted serine protease Yip7 physically interacts with Aβ. This causes intraneuronal Aβ accumulation but surprisingly reduces the associated neurotoxicity, arguing that ...
Jingyun Su   +4 more
wiley   +1 more source

Long‐Tea‐CLIP: An Expert‐Level Multimodal AI Framework for Fine‐Grained Green Tea Grading Across Five Sensory Dimensions

open access: yesAdvanced Science, EarlyView.
Long‐Tea‐CLIP (Contrastive Language‐Image Pre‐training) presents a multimodal AI framework that integrates visual, metabolomic, and sensory knowledge to grade green tea across appearance, soup color, aroma, taste, and infused leaf. By combining expert‐guided modeling with CLIP‐supervised learning, the system delivers fine‐grained quality evaluation and
Yanqun Xu   +9 more
wiley   +1 more source

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