Results 131 to 140 of about 101,413 (261)

MetaboSense: An Integrated Quantum Dot‐Mediated Aptamer Assay and Modular Microfluidic Platform for Continuous In‐Line Monitoring of Lung Metabolism During Ex Vivo Perfusion

Advanced Science, EarlyView.
MetaboSense is a first‐of‐its‐kind microfluidic platform enabling continuous, in‐line monitoring of glucose and lactate during ex vivo lung perfusion. Combining a quantum dot–mediated aptamer assay with mixing, depletion, and optofluidic detection modules, it achieves 60–s temporal resolution and shows strong agreement with standard blood gas analyzers,
Sanjana Srikant, Pouyan Keshavarz Motamed, Thomas Borrillo, Lielle Ronen, Gabriel Siebiger, Guillermo Garza, Hesam Abouali, Md Fahim Al Fattah, Ines Jaber, Dayan Ban, Marcelo Cypel, Mingyao Liu, Shaf Keshavjee, Andrew T. Sage, Mahla Poudineh   +14 more
wiley   +1 more source

Retraction Note: Mathematical modeling and statistical analysis of breast cancer drugs using M-polynomial indices for the physical properties. [PDF]

Sci Rep
Tawhari QM, Naeem M, Maqbool S, Rauf A, Oyelakin O.   +4 more
europepmc   +1 more source

$M$-POLYNOMIALS AND TOPOLOGICAL INDICES OF SILICATE AND OXIDE NETWORKS [PDF]

International Journal of Pure and Apllied Mathematics, 2017
M. Javaid, C.Y. Jung
openaire   +1 more source

Inverse Design of Pre‐Strain via a Predictive Electromechanical Model for Enhanced Strain Sensing

Advanced Science, EarlyView.
An analytical electromechanical model rooted in microcrack evolution mechanics is globally calibrated from only eight pre‐strain datasets, enabling prediction of the complete sensing response at untested pre‐strain values within the calibrated design space (R2 > 0.99).
Jia‐Chen Shang, Rui Wang, Bo Lu, Ming‐Liang Song, Yu‐Yi Chen, Kuo Han, Xin‐Jie Feng, Bin Sun, Yao‐Guang Cao, Xiao‐Yu Yan, Shi‐Chun Yang   +10 more
wiley   +1 more source

Developing a QSPR model for Alzheimer's drugs using topological indices and M-polynomial: A computational study. [PDF]

Sci Rep
Akhbari MH, Movahedi F, Zameni M, Shahavi MH.   +3 more
europepmc   +1 more source

Fzd7 Restrains Pink1‐Dependent Mitophagy in Suture Stem Cells to Maintain Cranial Suture Patency

Advanced Science, EarlyView.
How suture stem cells fail to preserve cranial suture patency remains incompletely understood. Integrated single‐cell and high‐resolution spatial transcriptomic analyses identify reduced Fzd7 expression in Prrx1+ suture stem cells as an early feature of craniosynostosis.
Xinyan Chen, Zong Chen, Chenzhi Lai, Yingying Yue, Tian He, Hao Gong, Jing Shi, Xiaoshuang Guo, Yu Wang, Guodong Song, Xiaolei Jin   +10 more
wiley   +1 more source

Unveiling the electronic and thermodynamic properties of 2-furaldehyde semicarbazone derivatives: combined DFT and M-polynomial topological indices analysis. [PDF]

Sci Rep
Wazzan S, Safi Z, Wazzan N.
europepmc   +1 more source

α‐Synuclein Forms Distinct Micelle‐Like Assemblies at Low Ionic Strengths

Advanced Science, EarlyView.
At high ionic strength, α‐synuclein forms diverse assemblies, including oligomers, fibrils, and condensates. Here, we show that at low ionic strength, α‐synuclein adopts a distinct, low‐abundance assembly state. These assemblies maintain a constant size above a critical concentration and do not coalesce, suggesting a micelle‐like organization ...
Sophie Hertel, Soumik Ray, Federica Saraceno, Giacomo Nisini, Georgia Nasi, Thomas Oliver Mason, Antonin Kunka, Effrosyni Agrimaki, Dannie Juul Olesen, Francesco Simone Ruggeri, Alexander K. Buell   +10 more
wiley   +1 more source

M-polynomial driven machine learning models for predicting physicochemical properties of antibiotics. [PDF]

PLoS One
Li X, Ghods M, Kheirkhahan N, Shafi J.
europepmc   +1 more source

Low Latency Global Carbon Budget Reveals Late 2024 Carbon Losses and Contrasting Early 2025 Land Sink Recovery Signals

Advanced Science, EarlyView.
Low latency carbon budget estimates for July 2024–June 2025 combine atmospheric CO2 growth rates, fossil emissions, ocean uptake, DGVM land fluxes, and OCO‐2 inversions. The budget shows that late‐2024 land carbon losses dominate the annual anomaly, while early‐2025 recovery differs between bottom‐up models and top‐down inversions, especially in ...
Piyu Ke, Philippe Ciais, Yitong Yao, Stephen Sitch, Wei Li, Xiaomeng Du, Xiaofan Gui, Ben Poulter, Thomas Colligan, Auke M. van der Woude, Joram Hooghiem, Wouter Peters, Zhu Liu, Zhu Deng, Zhe Jin, Xiangjun Tian, Yilong Wang, Junjie Liu, Sudhanshu Pandey, Chris O'Dell, Jiang Bian, John Miller, Xin Lan, Jefferson Goncalves De Souza, Michael O'Sullivan, Pierre Friedlingstein, Julien Alléon, Yi Xi, Daniel S. Goll, Lei Zhu, Guido R. van der Werf, Shilong Piao, Frédéric Chevallier   +32 more
wiley   +1 more source