Results 211 to 220 of about 168,763 (311)

Viral Infection‐Inspired Autonomous Detection of Fusion‐Competent Viruses for Screening and Environmental Surveillance

Advanced Materials, EarlyView.
Inspired by viral entry mechanisms, the FUSION assay enables autonomous detection of respiratory viruses via membrane fusion–triggered CRISPR‐Cas13a activation. VEACON selectively fuses with fusion‐competent viruses, triggering fluorescence within confined vesicles.
Jae Chul Park, Yidam Song, Hyun‐Woo Choi, Jaeuk Sung, Harin Jin, WonSeok Gwak, Kirim Yoo, Soohwang Lee, Jongeon Park, Jeongmin Kim, Hye‐Jun Jo, Jahyun Koo, Youngdo Jeong, Kwan Hyi Lee, Seung‐Jung Kee, Hojun Kim   +15 more
wiley   +1 more source

A Hybrid AI-Mathematical approach for epidemic threshold prediction in metapopulation networks: Integrating physics-guided neural networks with spectral graph theory. [PDF]

PLoS One
Kouokam E.
europepmc   +1 more source

Solvent‐Mediated Reactivity Control of Lewis‐Paired Dopants as a Versatile Strategy for Tunable and Stable Doping of Organic Semiconductors

Advanced Materials, EarlyView.
Solvent‐mediated reactivity control of Lewis‐paired dopants enables highly efficient, finely tunable, and stable doping of organic semiconductors. The optimally doped semiconductor films exhibit superior thermoelectric performance and doping stability, feature delocalized polarons along structurally ordered polymer backbones, and outperform ...
Sang Beom Kim, Eui Hyun Suh, Taek Seong Lee, Andreas W. Erhardt, Iain McCulloch, Jaeyoung Jang   +5 more
wiley   +1 more source

Correction to "Social Isolation Increases Impulsive Choice With Minor Changes on Metabolic Function in Middle-Aged Rats"Venegas, J. J., J. M. Weisz, C. Y. Choi, R. E. Herringshaw, O. A. Nabelsi, and N.-C. Liang. 2025. "Social Isolation Increases Impulsive Choice With Minor Charges on Metabolic Function in Middle-Aged Rats." Physiological Reports 13, no. 2: e70184 https://doi.org/10.14814/phy2.70184. [PDF]

Physiol Rep
europepmc   +1 more source

Systematic mutagenesis reveals dominant-minor paralog configurations in the rice <i>GA2ox</i> gene family. [PDF]

Front Plant Sci
Hsieh KT, Shiue SY, Liao YC, Wang IW, Tseng CS, Li WH, Chen LJ.   +6 more
europepmc   +1 more source

Thermally Modulated Metasurface Sensor for Dynamic and Time‐Resolved Isolation of Extracellular Vesicles

Advanced Materials, EarlyView.
A thermally adaptive plasmonic metasurface, functionalized with poly(N‐isopropylacrylamide) (PNIPAM) and anti‐CD63 antibodies, enables precise, on‐demand capture and release of extracellular vesicles (EVs). Delivering high recovery, improved purity, and intact vesicle structure, the platform offers a versatile, label‐free solution for real‐time EV ...
Beyza Nur Kucuk, Eylul Gulsen Yilmaz, Yusuf Aslan, Emre Ece, Özgecan Erdem, Murat Alp Gungen, Bengi Özgün Öztürk, Fatih Inci   +7 more
wiley   +1 more source

Correction: Cannabis-based extract for managing pain in dogs with osteoarthritis: efficacy and safety assessment. [PDF]

Front Pharmacol
Griebeler NM, Penayo Cremonese R, Correa YRF, Pereira PRM, Rial AF, Leite E, Gonçalves MVL, das Almas LRM, Cardoso NB, Cezar-Dos-Santos F, Toci AT, Le-Quesne AM, Nascimento FP.   +12 more
europepmc   +1 more source

When Poor Exciton Dissociation Limits Photocurrents in Organic Solar Cells: Why Low Offset Non‐Fullerene Acceptor Blends Can't Be Efficient

Advanced Materials, EarlyView.
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley   +1 more source

Comparing the expression patterns and differences of LOX and LOXL1 during the development of myodural bridge and ligamentum flavum. [PDF]

Front Cell Dev Biol
Sun YT, Li ZR, Lai HX, Ma W, Li C, Li JH, Chi YY, Yu SB, Zheng N, Liu B, Zhang JF, Sui HJ.   +11 more
europepmc   +1 more source

Machine Learning Accelerated Computational Design of Bio‐Inspired Catalysts in the Nitrogen Reduction Reaction

Advanced Materials, EarlyView.
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano, Zihan You, Haoran Chen, Qifan Zhong, Rong‐Zhen Liao, Shaoqi Zhan   +5 more
wiley   +1 more source