Results 121 to 130 of about 20,145 (265)

Pyroptosis‐Inducing Engineered Microparticles for Cancer Immunotherapy

Advanced Science, EarlyView.
Engineered microparticles co‐delivering geldanamycin and dual nanobodies induce targeted pyroptosis and block PD‐L1 and CD47 pathways, reprogramming the tumor microenvironment and achieving potent antitumor immunity in lung cancer models with minimal toxicity.
Tianli Hao, Zihan Deng, Yufei Liu, Li Liu, Deqiang Deng, Muyang Yang, Yuanyuan Geng, Yao Sun, Beilei Yue, Jonathan F. Lovell, Yushuai Liu, Lisen Lu, Honglin Jin   +12 more
wiley   +1 more source

Stage‐Specific Roles of Deep Eutectic Solvents in Recycling of Spent Lithium‐Ion Batteries

Advanced Energy Materials, EarlyView.
Deep eutectic solvents (DESs) offer tunable acidity, redox, and coordination properties for selective recycling of spent lithium‐ion battery cathodes. Through co‐dissolution, single‐ and two‐metal separations, DESs enable sustainable recovery of critical metals for closed‐loop regeneration of battery‐grade materials, advancing a circular economy for ...
Jingxiu Wang, Yan Wang, Yanqiu Lyu, Jianfeng Mao, Zaiping Guo   +4 more
wiley   +1 more source

Selective Charge Extraction Allows Fast Photomultiplication and Imaging in Rigid and Ultra‐Flexible SWIR Organic Photodiodes

Advanced Energy Materials, EarlyView.
SWIR donor polymer TQ‐3T allows photomultiplication in OPD in 1:1 ratio with NFA Y6, achieving EQEs > 1100% at ‐10 V. Microseconds response times are retained, amongst the lowest for photomultiplication. As proof of concept, we demonstrate ultrathin and flexible PM‐OPDs based on our TQ‐3T:Y6 as a flexible pulse oximeter as well as a conformable image ...
Matilde Brunetta, Zhuoran Qiao, Davide Nodari, Kosei Sasaki, Francesco Furlan, Martina Rimmele, Hongki Kim, Hongting Chen, Yusaku Tagawa, Adam Marsh, Rushil Vasant, Sang Do, Xabier Rodríguez‐Martínez, Anirudh Sharma, Christos L. Chochos, Jaime Martin, Martin Heeney, Koen Vandewal, Derya Baran, Thuc‐Quyen Nguyen, Bob C. Schroeder, Takao Someya, Tomoyuki Yokota, Nicola Gasparini   +23 more
wiley   +1 more source

Thermal stratification drives movement of a coastal apex predator. [PDF]

Sci Rep, 2017
Aspillaga E, Bartumeus F, Starr RM, López-Sanz À, Linares C, Díaz D, Garrabou J, Zabala M, Hereu B.   +8 more
europepmc   +1 more source

Do outgrower schemes enhance technology adoption and productivity? Evidence from maize farmers in Northern Ghana

Agribusiness, EarlyView.
Abstract Nucleus outgrower schemes are contractual arrangements where well‐resourced large‐scale farmers (nucleus farmers) are empowered by development support agencies to take charge of smallholder farmers, by providing them with market access and the necessary training on agronomic practices and farm inputs for production.
Dominic Tasila Konja, Awudu Abdulai
wiley   +1 more source

Decoding Tattoo and Permanent Makeup Pigments: Linking Physicochemical Properties to Absorption, Distribution, Metabolism, and Elimination Profiles Using Quantitative Structure–Activity Relationship (QSAR)‐Based New Approach Methodologies (NAMs)

Advanced Intelligent Discovery, EarlyView.
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod, Ajay Vikram Singh, Preeti Bhardwaj, Tulika Rai, Sweta Vijay Nakhale, Amruta Shelar, Rajendra Patil, Peter Laux, Andreas Luch, Christopher J. Osgood, Michael W. Stacey   +10 more
wiley   +1 more source

Heatwave-Induced Thermal Stratification Shaping Microbial-Algal Communities Under Different Climate Scenarios as Revealed by Long-Read Sequencing and Imaging Flow Cytometry. [PDF]

Toxins (Basel)
Meirkhanova A, Zhumakhanova A, Len P, Schoenbach C, Levi EE, Jeppesen E, Davidson TA, Barteneva NS.   +7 more
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Author Correction: Numerical treatment of radiative Nickel-Zinc ferrite-Ethylene glycol nanofluid flow past a curved surface with thermal stratification and slip conditions. [PDF]

Sci Rep
Ramzan M, Gul N, Chung JD, Kadry S, Chu YM.   +4 more
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source