Results 141 to 150 of about 33,873 (284)

Targeting Lactate and Lactylation in Cancer Metabolism and Immunotherapy

Advanced Science, EarlyView.
Lactate, once deemed a metabolic waste, emerges as a central regulator of cancer progression. This review elucidates how lactate and its epigenetic derivative, protein lactylation, orchestrate tumor metabolism, immune suppression, and therapeutic resistance.
Jiajing Gong, Yuhang Xie, Zhijie Weng, Yongzhi Wu, Longjiang Li, Bo Li   +5 more
wiley   +1 more source

Machine Learning for Green Solvents: Assessment, Selection and Substitution

Advanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta, Janhavi Nistane, Abhishek Sose, Harikrishna Sahu, Rampi Ramprasad   +4 more
wiley   +1 more source

Discovery of an Adaptive Neuroimmune Response Driving Itch and Fast Tick Removal with Implications for Preventing Pathogen Transmission

Advanced Science, EarlyView.
Itch‐induced tick removal (IITR): An acquired neuroimmune mechanism, itch‐induced tick removal, develops after repeated tick exposure, mobilizing T cells and macrophages at the tick bite site to trigger a rapid scratching response that facilitates timely tick removal within a critical window that precedes the transmission of many tick‐borne pathogens ...
Johannes S. P. Doehl, Tiago D. Serafim, Serena Doh, Charles S. Grugan, Eva Iniguez, Luana Rogerio, Ronja Frigard, Ranadhir Dey, Pedro Cecilio, Xinglong Gu, Pang‐Yen Tseng, Aline da Silva Moreira, Mahnaz Minai, James Oristian, Hans Ackerman, Steven Brooks, Caroline Percopo, Siu‐Ping Ng, Derron A. Alves, Lucas Tirloni, Jennifer M. Anderson, Adriana Marques, Fabiano Oliveira, Shaden Kamhawi, Daniel E. Sonenshine, José M. C. Ribeiro, Mark Hoon, Jesus G. Valenzuela   +27 more
wiley   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

Nanozymes for Advanced Hemoglobin‐Based Oxygen Carriers: Applications in Blood Substitution, Wound Healing, Antitumor Therapy, and Beyond

Advanced Science, EarlyView.
This review explores how hemoglobin‐based oxygen carriers (HBOCs) combined with nanozymes create multifunctional materials that deliver oxygen while maintaining redox homeostasis. Beyond artificial blood substitutes, these constructs enable wound healing with light‐triggered oxygen release, cancer therapy through enhanced oxygenation and reactive ...
Despoina Douka, Ana María Pablo‐Sainz‐Ezquerra, Eva Jakljevič, Niki Ktena, Leticia Hosta‐Rigau   +4 more
wiley   +1 more source

Accurate characterization of mix plastic waste using ATR-FTIR spectroscopy and machine learning methods. [PDF]

PLoS One
Zhou Z, Shao H, Liu B, Xie Y, Wang W.
europepmc   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Eco-Friendly Corn Silk-Based Triboelectric Nanogenerator Sensor for Automated Human Motion Recognition using Boosting-Driven Machine Learning. [PDF]

Precis Chem
Singh H, Singh H, Sawhney RS, Singh K, Singh K.   +4 more
europepmc   +1 more source

A NEW WASTE CLASSIFYING MODEL: HOW WASTE CLASSIFICATION CAN BECOME MORE OBJECTIVE?

Annals of the University of Oradea: Economic Science, 2015
The waste management specialist must be able to identify and analyze waste generation sources and to propose proper solutions to prevent the waste generation and encurage the waste minimisation. In certain situations like implementing an integrated waste management sustem and configure the waste collection methods and capacities, practitioners can face
openaire   +1 more source

Leveraging LSTM and ensemble classifiers for enhanced food waste classification

Discover Sustainability
Abstract A long short-term memory (LSTM)-enhanced feature extraction technique was combined with ensemble classifiers (gradient boosting, logistic regression, random forest, and support vector machine (SVM)) to improve waste classification outcomes.
openaire   +2 more sources